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Samoa Shipping News
Posted August 16, 2016 by Transco International & filed under Blog.
Samoa, also known as the Independent State of Samoa, is made of an archipelago of islands in the Pacific. South-east of the Samoa islands, you will find American Samoa which is unincorporated territory of the USA and consists of a few islands. If you are looking to send cargo to Samoa, or even American Samoa, being aware of the Samoa shipping industry is always recommended especially when business is concerned.
The Samoa Islands include two large island
s (Upolu and Savai'i) and eight islets. Transportation within Samoa is via paved highways and travel between the islands is usually done by ferry between the two main islands. With one international airport in the country, there is one port in the capital (Apia), as well as two ports on both the main islands. Mulifanua is the main ferry terminal on Upolu, which operates a ferry service for passengers, vehicles as well as cargo arriving in the country.
American Samoa is made up of five main islands and with the capital on Tutuila. However, American Samoa has no railways, but operate three airports. However, no merchant marine is possible despite the presence of several harbours.
Samoa Government Raises Shipping Costs
In 2016, the Samoa Government issued a statement in April that the Samoa Ports Authority (SPA) will be increasing the tariff across board on shipping related costs by 5%. Back in 2014, the Government of Samoa were set to increase the tariffs by 25% however, due to the steep increase and the how it will affect shipping in the country, it was agreed that the tariffs will increase annually by 5% in a phased approach with the first done in 2014 and the second which was scheduled for 2016. The increase in shipping costs have been done to aid in the infrastructure developments such as the extension of the Matautu Wharf and more, and will be levied on import/export cargo from Samoa.
Improvements to Samoa Infrastructure
In collaboration with the Japanese government and funding, the Matautu-Tai Wharf, which located on northern bay of the Savai'i Island will see a facelift that will further trading in Samoa and transform it into a transhipment hub. The facelift is done parallel to the improvement to be made at the Apia Port in Upolu and transform it into a secure transhipment port for ships on the Pacific trading lanes as well as to be able to unload and upload cargo containers.
If you are looking to send freight to Samoa, fill out our Quick Quote form to get in touch with us and get an obligation-free shipping quotation from Australia to Samoa!
Image Credit: Samoa Observer
Samoa Shipping News was last modified: August 16th, 2016 by Transco International
Tags: samoa cargo samoa shipping samoa shipping news shipping to Samoa from Australia


For many families, the arrival of a child is met with eager anticipation. Welling with joy and excitement, these parents' lives and actions toward their child manifest a deep awareness that children truly are a gift from God (Psalm 127:3)! Cradled gently, touched adoringly and nurtured sacrificially, the child learns to see himself through the mirror of his parents' eyes. "I am precious," "I am safe," and "I am loved" become the song of his heart. Ultimately, his inheritance of faith will be in knowing that he is "fearfully and wonderfully made" (Psalms 139:14) and deeply loved by a compassionate and merciful Heavenly Father. As a strong and secure attachment is created with loving parents, this child will be well prepared to develop trust and create healthy relationships as he begins to explore the world, as well as to "attach" in faith to the loving God who created him in His image. His earliest moments of life become the foundation for what he will come to know and believe about himself, his parents, his world and his God!
Researchers have documented the profound and lasting effects that early care or the lack thereof have on the development of trust ("I am safe"), self-worth ("I am precious") and self-efficacy ("I am heard"). In addition, developmental researchers widely acknowledge that the formative early days dramatically influence attachment relationships and also have dramatic and lasting effects on brain development and brain chemistry. Tragically, many of the children that we love and serve came into an unwelcoming world and started life amidst very difficult circumstances. Disease, abandonment, hunger, mental illness, stress, substance abuse and a host of other risk factors may have conspired to create an environment where these children's needs were unmet, contributing to the abuse, neglect and trauma that they experienced. These heartbreaking early harms and losses often hold our children back from developing in healthy or optimal ways and too often prevent them from developing trust and understanding just how precious they truly are.
For some of our children, their "histories" are known, at least in part. For many others, however, their "histories" are unknown, even though we know there is a high likelihood that their past involves some degree of harm, deprivation or loss. Whether it is abuse, neglect or some other known harm, or whether it is the likelihood of a difficult or stressful pregnancy, difficult labor or birth, early medical trauma or a ruptured attachment to an early caregiver, the impacts for our children can be significant. You've heard it said, "What you don't know can't hurt you." Unfortunately, it is often what we don't know (and may never know) that is in fact hurting our children, and therefore hurting us as well. As a result, adoptive and foster parents must be particularly insightful about the reality of their child's history and the lingering effects it can have.
So what do we do in light of this? First and foremost we must be willing to approach our children with genuine compassion, both for their histories as well as the challenges they are still facing. As we lead our children along the journey toward healing, this compassion must always be our touchstone. That is not to say that our children do not need appropriate levels and expressions of structure and correction—they most certainly do. But we must never forget that our children need this structure and correction expressed compassionately, in ways they can understand and in ways that promote lasting healing and connection.
*Excerpt from Chapter 2 of Created To Connect: A Christian's Guide to The Connected Child. This study guide companion to The Connected Child can be downloaded for free. Printed copies of the study guide are also available for purchase.
For additional reading on the all-important subject of compassion see Amy Monroe's article, Compassion is the Answer. What's the Question?


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Jōnetsu no Daishō / ESCAPE est le 3single du groupe Girl Next Door sorti sous le label Avex Trax le  au Japon. Il atteint la  du classement de l'Oricon. Il se vend à  exemplaires la première semaine et il reste 7 semaines dans le classement pour un total de  exemplaires vendus.

Jōnetsu no Daishō a été utilisé comme thème de fermeture pour le drama Gira Gira. Jōnetsu no Daishō et ESCAPE sont présentes sur l'album Girl Next Door.

Liste des titres

Liens externes
 Fiche officielle du single
 Fiche sur le site de l'Oricon

Single musical sorti en 2008
Chanson interprétée par Girl Next Door

redpajama_set_name: RedPajamaWikipedia


Women have been plagued by gender-based public harassment since at least as early as 1875 (Bowman, 1993). Gender-based public harassment is harassment directed by men towards women. It occurs in public and semi-public places, can be verbal or non-verbal, often has a sexual component, and can be degrading, objectifying, and/or threatening (Bowman; Gardner, 1995). The current study presents information regarding the prevalence of gender-based public harassment, examples of harassment that fall into this category, possible explanations for the pervasiveness of gender-based public harassment, and the individual and societal effects of this form of harassment. There is relatively little research directly applicable to gender-based public harassment, and this study was conducted to explore how harassing behaviors that women experience, and their emotional reactions to these behaviors, are related to body image, self-esteem, objectification, and avoidance behavior. Statistically significant results indicate that experiences of gender-based public harassment, and particularly negative emotional responses, are associated with low self-esteem, dislike of and shame about one's body, and preoccupation with one's appearance. Negative reactions were also associated with avoidance of going places when alone. Additionally, the results indicate that women of color are subjected to more frequent gender-based public harassment than are white women. Self-esteem is also shown to be correlated with body image and explains a substantial amount of variance in the body image variables. The implications of all results, limitations of the study, and future directions for research are discussed.
Lord, Tracy Lynn, "The Relationship of Gender-Based Public Harassment to Body Image, Self-Esteem, and Avoidance Behavior" (2009). Theses and Dissertations (All). 713.


Athlete's foot is a soft tissue fungal infection that affects the bottom of the feet and can also occur between the toes. This infection often causes itchy, dry areas that sometimes include burning sensations. It can occur in anybody, athlete and non-athletes.


Authentic Leadership – Is This Your Leadership Style?
Leadership Style: Blinders, Beacon or Both?
Is Your Leadership Style Riddled with Blind Spots?
Leadership Styles Considered: Communicating effectively with a left.
What is Your Organisation's Leadership Style?
Is Your "Nice" Leadership Style Counter-Productive?
Leadership Styles: Do you lead like a shark or a whale?
Would a Balanced Feminine-Masculine Leadership Style Produce Superior Results?
There is no perfect leadership style, which means there is more than one way to lead effectively. Leadership Leadership Communication Learning Personal Development leadership styleHere is some very good news for you.
GeneralLeadership.com and the General Leadership Foundation bring Leadership Advice from America's Most Trusted Leaders to You! It was through this over recent weeks I realized the most complex of leadership styles could be defined by the simplest of day-to-day items.
In political contests, style is prerequisite number one. Is this also the case in business leadership? If it is, the notion begs a second question; can aspiring leaders and rookie CEOs find the captivating style that is bestowed upon the chosen few? Style is number two.
Guest post from Muna Jawhary: One of the main reasons why women don't thrive in business as much as men is because work organisations still rely on masculine standards, including in leadership. The leadership style that goes with this rigid way of organising work is command and control.
While some leadership styles may be more naturally comfortable than others, effective leaders need to adapt their style to the needs of their employees and the situation at hand. emotional intelligence leadership styles situational leadership Read my latest post over at About.com to find out why and how.
Groups with a high degree of connection have an assertive communication and leadership style. Put-down Paul has an aggressive style. Forceful Freda has an aggressive style. Leadership Insights of a Hostage Negotiator. Closing Your Company's Leadership Gap.
How to Evaluate Your Leadership Style By Ken Blanchard, Co-author of Great Leaders Grow: Becoming a Leader for Life Today, I'm going to give a short, one-question quiz. It is a question I've asked countless people at the leadership seminars we conduct.
They understand that using a single management style in every situation won't get results. They deploy a repertoire of styles according to the personalities and experience of team members, time constraints and specific goals. Here are five of the most common leadership style and guidelines on when to use them. The Command & Control Style. This style is appropriate when you know the best way to do something and the person you're working with does not.
How can leaders adjust their leadership style to do so? The answer to effective communication in today''s diverse workforce lies in "flexing"--the art of switching between leadership styles to more effectively communicate with and lead people who are different from you.
The post Is Your "Nice" Leadership Style Counter-Productive? Authenticity Communication Culture help ineffective bosses leadership leadership style nice bosses tough loveYesterday we talked about "Unnecessary Roughness: What Happens When Leaders are Mean:" On the flip-side… have you ever had a boss that was just too nice? Have you ever been too nice in your role as leader? What happened? Did you inspire? How were results?
The word cloud technology set up a very interesting moment that provides some insight into why, if you're a leader, you should pay attention to President Trump's leadership style. The research on emotionally intelligent leadership styles suggests that it won't. Dan Goleman and his colleagues Richard Boyzatis and Annie McKee have demonstrated that leadership styles can be sorted into one of two categories: resonant and dissonant.
Ken Blanchard , author of, Great Leaders Grow , shares today's guest post: How to Evaluate Your Leadership Style By Ken Blanchard, Co-author of Great Leaders Grow: Becoming a Leader for Life Today, I'm going to give a short, one-question quiz.
Leadership Management Small Business Strategy business process business strategy We''ve Moved! Update your Reader Now. This feed has moved to: [link] If you haven''t already done so, update your reader now with this changed subscription address to get your latest updates from us. link].
This guest post was written by Jason Monaghan with University of Notre Dame Executive Online Education: As any seasoned business leader can tell you, creating an exemplary team takes knowledge, perseverance, and a little leadership magic. Here are five tips that go beyond the curriculum of management training; tips you can use to unleash a little magic in your own leadership style.
Word Cloud Crowd Sourcing While preparing the speech, I […] The post 3 Unexpected Uses for Word Clouds: Leadership Style appeared first on Let's Grow Leaders. At the beginning of each year, I travel the country giving inspirational kickoff speeches in call centers. This year, the theme of my speech is creating "connections" with our customers and our teams. What better way to reinforce connections, than to include everyone in the speech writing?
What is your leadership style? We have within us seven archetypes each one of these archetype create and define our leadership style. The Leadership Gap by lollydaskal. The post 7 Leadership Styles That Lead To Greatness appeared first on Lolly Daskal. Lead From Within Inforgraphic Lolly Daskal Resources The Leadership GapWhich one is yours?
Assess Your Leadership Style. Then it's time to and assess and fine tune their leadership style. When you know your strengths and core values, you can maximize their impact, avoid common pitfalls, and develop a leadership style that's clear and consistent. At CO2 Partners, we offer two leadership-assessment tools: the Just Ask Leadership Assessment (free with a purchase of the book, Just Ask Leadership ) and the 360 Assessment.
And as I watched, I started to think of their respective hunting behaviors as ultimately, different leadership styles. There certainly is no one leadership style , but my wish is we all try and lead a little bit more like the whales: Be planful. Want more on leadership?
How do you define your organisation's leadership style? It strikes me that there are many leadership style models out there, such as Lewin's Leadership Styles, Six Emotional Leadership Styles (Goleman, Boyatzis and McKee), Transformational Leadership and The Leadership Challenge (Kouzes and Posner) to name as few. The post What is Your Organisation's Leadership Style?
It is a question I've asked countless people at the leadership seminars we conduct. To get a true and accurate answer about the question above, it is necessary for you as a supervisor to honestly determine how your employees perceive your leadership style.
Business leaders frequently ask me, "What one leadership style is most effective?". The reality is there's not one style that's best, or most effective, or that produces successful results time after time.
Many of us aspire to great leadership. But how do we recognize what great leadership even looks like? Think about which you should be incorporating into your own leadership—and remember that when success is within your reach, you still have to stretch to get to it.
Leadership Leadership Caffeine Values Cultivating a Leadership Style Your Leadership Style We''ve Moved! Update your Reader Now. This feed has moved to: [link] Update your reader now with this changed subscription address to get your latest updates from us.
Welcome to my weekly round-up of top leadership and communication blog posts. As many of you know, each week I read and tweet several great articles and on Fridays, I pull some of my favorites together here on my blog.
Over the last 40 years of assessing the leadership styles of the millions of managers who have taken Ken Blanchard's SLII © leadership training program, our data shows that 54% of managers primarily use a Coaching style. The Coaching style is comprised of high amounts of supportive behaviors, but low amounts of directive behavior. That individual needs a Directive style of leadership.


Hennessey's ZL1 has a six-speed manual which, as we've previously reported, has an extremely tall first gear. The car will hit 60 mph in the top of first, but Hennessey short shifts just below redline at a speed of 51 mph.
The ZL1 pulls to 173 mph in fifth gear, which Hennessey believes is the car's top speed. That might sound like a low number for such a powerful car–especially, when the Cadillac it shares its engine with, the CTS-V, tops out at 200–but the gearing and aero package of the Camaro is vastly different than its brother from Cadillac. It's also heavier and less aerodynamic than the Corvette Z06 it shares an engine with, so all of that could account for the top speed discrepancy.
Plus, there's may be more high speed potential in the automatic-equipped ZL1, which has 10 gear ratios to play with. Or just the potential to shift more.
This new ZL1 promises to be one of the most broadly capable Camaros ever, but it's good to see it hasn't lost its straight line abilities. We're driving it in two weeks, so watch this space.


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All of Owain_Evans's Comments + Replies
GPT learning from smarter texts?
Owain_Evans19d
See the Galatica model (https://arxiv.org/abs/2211.09085) from Meta. It's trained on a curated dataset of scientific papers, reference materials and scientific knowledge bases (with only a very small % of random internet text). IIRC the benefits of this seem limited (better to train on a bigger dataset and use other techniques to make the model access the sciencey parts of the training set).
Google Search loses to ChatGPT fair and square
Owain_Evans1mo
It would be helpful to compare Google to ChatGPT on the actual distribution of queries to Google. I'd guess only a small % of queries to Google are about algorithms (e.g. doubly-linked lists question). IIRC many queries are not really searches but just looking for specific URLs (e.g. people search "facebook" or "wordle"). Also very common is naural-language translation (ChatGPT can't translate whole websites right now). Finally, many searches are for local information that ChatGPT can't offer at all right now ("weather", "food near me"). Programmers and
... (read more)
2shminux1mo
"How do I make risotto?" is only a little bit about algorithms. And yeah, being able to have a real discussion with the bot helps a lot.
Why don't we have self driving cars yet?
(3) seems false.
Related to (2) is that sufficient robustness is possible today but very expensive relative to a taxi service like Uber. E.g. It requires having expensive sensors on the cars, hyper detailed mapping of all roads the car can drive on, and a team of humans who can remotely intervene when cars reach a sufficiently tricky situation.
Caution when interpreting Deepmind's In-context RL paper
Owain_Evans3moΩ5
(I haven't yet read the paper carefully). The main question of interest is: "How well can transformer do RL in-context after being trained to do so?" This paper only considers quite narrow and limited tasks but future work will extend this and iterate on various parts of the setup. How do these results update your belief on the main question of interest? It's possible the result can be explained away (as you suggest) but also that there is some algorithm distillation going on.
1Sam Marks3mo
In-context RL strikes me as a bit of a weird thing to do because of context window constraints. In more detail, in-context RL can only learn from experiences inside the context window (in this case, the last few episodes). This is enough to do well on extremely simple tasks, e.g. the tasks which appear in this paper, where even seeing one successful previous episode is enough to infer perfect play. But it's totally insufficient for more complicated tasks, e.g. tasks in large, stochastic environments. (Stochasticity especially seems like a problem, since you can't empirically estimate the transition rules for the environment if past observations keep slipping out of your memory.) There might be more clever approaches to in-context RL that can help get around the limitations on context window size. But I think I'm generally skeptical, and expect that capabilities due to things that look like in-context RL will be a rounding error compared to capabilities due to things that look like usual learning via SGD. Regarding your question about how I've updated my beliefs: well, in-context RL wasn't really a thing on my radar before reading this paper. But I think that if someone had brought in-context RL to my attention then I would have thought that context window constraints make it intractable (as I argued above). If someone had described the experiments in this paper to me, I think I would have strongly expected them to turn out the way they turned out. But I think I also would have objected that the experiments don't shed light on the general viability of in-context RL, because the tasks seem specially selected to be solvable with small context windows. So in summary, I don't think this paper has moved me very far from what I expect my beliefs would have been if I'd had some before reading the paper.
Language models seem to be much better than humans at next-token prediction
This is very valuable. I suggest putting this content on Arxiv (even it's less formal that the typical paper).
chinchilla's wild implications
It could be useful to look at performance of GPT-3 on foreign languages. We know roughly how long it takes humans to reach a given level at a foreign language. E.g. You might find GPT-3 is at a level on 15 different languages that would take a smart human (say) 30 months to achieve (2 months per language). Foreign languages are just a small fraction of the training data.
A few points:
Current models do pretty well on tricky math problems (Minerva), coding competition problems (AlphaCode), and multiple-choice quizzes at college level (MMLU).
In some ways, the models' ability to learn from data is far superior to humans. For example, models trained mostly on English text are still pretty good at Spanish, while English speakers in parts of the US who hear Spanish (passively) every week of their lives usually retain almost nothing. The same is true for being able to imitate other styles or dialects of English, and for program
AI Forecasting: One Year In
Very helpful post, thanks!
Are there some meta-level lessons about forecasting a dataset like MATH? IIRC, at the time of these forecasts, the only results were GPT2-finetune and GPT3 few-show (without chain-of-thought and self-consistency). For GPT-2, the accuracy scores were <15% for nearly all subjects and difficulty levels. This may be consistent with GPT-2 either not really understanding questions or being so weak at basic arithmetic that it has no chance for most questions.
Given that performance was so low and that not many models/setups had b... (read more)
2Michaël Trazzi7mo
I believe the forecasts were aggregated around June 2021. When was GPT2-finetune released? What about GPT3 few show? Re jumps in performance: jack clark has a screenshot on twitter about saturated benchmarks from the dynabench paper (2021), it would be interesting to make something up-to-date with MATH https://twitter.com/jackclarkSF/status/1542723429580689408 [https://twitter.com/jackclarkSF/status/1542723429580689408]
Paper: Forecasting world events with neural nets
There's a new Metaculus question on this. The median for near human-level on the exact set of forecasting questions we used is currently 2026. Another relevant question is how well AI will vs crowdforecasts when predicting new questions (e.g. 2023-2024 questions). I'd be excited for people to do more thinking about how much AI will improve at forecasting in coming years.
Assessing AlephAlphas Multimodal Model
Nice post. I generally recommend looking at the model probabilities or taking multiple samples when evaluating a model. For example, does the model give the answer "Joe" 99% probability or close to 50%?
1p.b.7mo
I agree. But I wanted to avoid burning through the credits too quickly. I also wonder whether Joe and Jack would be more realistically assessed with a few-shot prompt.
Causal confusion as an argument against the scaling hypothesis
This is a distribution of math problems GPT-3 wasn't finetuned on. Yet it's able to few-shot generalize and perform well. This is an amazing level of robustness relative to 2018 deep learning systems. I don't see why scaling and access to external tools (e.g. to perform long calculations) wouldn't produce the kind of robustness you have in mind.
2David Scott Krueger (formerly: capybaralet)7mo
I think you're moving the goal-posts, since before you mentioned "without external calculators". I think external tools are likely to be critical to doing this, and I'm much more optimistic about that path to doing this kind of robust generalization. I don't think that necessarily addresses concerns about how the system reasons internally, though, which still seems likely to be critical for alignment.
I'm somewhat skeptical that models will actually be able to robustly learn these kinds of abstractions with a reasonable amount of scaling
GPT-3 (without external calculators) can do very well on math word problems (https://arxiv.org/abs/2206.02336) that combine basic facts about the world with abstract math reasoning. Why think that the kind of causal reasoning humans do is out of reach of scaling (especially if you allow external calculators)? It doesn't seem different in kind from these math word problems.
when can/do foundation models interna
RE GPT-3, etc. doing well on math problems: the key word in my response was "robustly". I think there is a big qualitative difference between "doing a good job on a certain distribution of math problems" and "doing math (robustly)". This could be obscured by the fact that people also make mathematical errors sometimes, but I think the type of errors is importantly different from those made by DNNs.
I agree my last point is more speculative. The question is whether vast amounts of pre-trained data + a smaller amount of finetuning by online RL substitutes for the human experience. Given the success of pre-training so far, I think it probably will.
Note that the modern understanding of causality in stats/analytic philosophy/Pearl took centuries of intellectual progress -- even if it seems straightforward. Spurious causal inference seems ubiquitous among humans unless they have learned -- by reading/explicit training -- about the modern understanding. Your examples from human childhood (dropping stuff) seem most relevant to basic physics experiments and less to stochastic relationships between 3 or more variables.
In the pre-training set, there are lots of places where humans talk about causality (both informally and more formally in myriad academic papers). So a model would ultimately need to learn abstract stuff about causality (e.g. correlation is not causation, arrow of time, causes are local, etc) and concrete causal facts (the moon causes tides, tiny organisms cause mold, etc). Given this knowledge, it's plausible a model M could make reasonable guesses for questions like, "What happens when a model with [properties of model M] starts interacting with the worl... (read more)
I can interpret your argument as being only about the behavior of the system, in which case: - I agree that models are likely to learn to imitate human dialogue about causality, and this will require some amount of some form of causal reasoning. - I'm somewhat skeptical that models will actually be able to robustly learn these kinds of abstractions with a reasonable amount of scaling, but it certainly seems highly plausible. I can also interpret your argument as being about the internal reasoning of the system, in which case: - I put this in the "deep learning is magic" bucket of arguments; it's much better articulated than what we said though, I think... - I am quite skeptical of these arguments, but still find them plausible. I think it would be fascinating to see some proof of concept for this sort of thing (basically addressing the question 'when can/do foundation models internalize explicitly stated knowledge')
fiso647mo
I disagree with your last point. Since we're agents, we can get a much better intuitive understanding of what causality is, how it works and how to apply it in our childhood. As babies, we start doing lots and lots of experiments. Those are not exactly randomized controlled trials, so they will not fully remove confounders, but it gets close when we try to do something different in a relatively similar situation. Doing lots of gymnastics, dropping stuff, testing the parent's limits etc., is what allows us to quickly learn causality.
LLMs, as they are curren... (read more)
Who models the models that model models? An exploration of GPT-3's in-context model fitting ability
Cool post! Did you try seeing whether GPT-3 can regenerate parts of the Iris dataset (or any other datasets that may appear in its training data)? I'd also be interested to see finetuning results, results for the latest InstructGPT, and to see analysis of the GPT-3 Embeddings for integers and floats.
7Lovre8mo
Since I transformed the Iris dataset with a pretty "random" transformation (i.e. not chosen because it was particularly nice in some way), I didn't check for its regeneration -- since my feature vectors were very different to original Iris's, and it seemed exceedingly unlikely that feature vectors were saved anywhere on the internet with that particular transformation. But I got curious now, so I performed some experiments. The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper Feature vectors of the Iris flower data set: Input = 83, 40, 58, 20, output = 1 Input = 96, 45, 84, 35, output = 2 Input = 83, 55, 24, 9, output = 0 Input = 73, 54, 28, 9, output = 0 Input = 94, 45, 77, 27, output = 2 Input = 75, 49, 27, 9, output = 0 Input = 75, 48, 26, 9, output = 0 So these are the first 7 transformed feature vectors (in one of the random samplings of the dataset). Among all the generated output (I looked at >200 vectors), it never once output a vector which was identical to any of the latter ones, and also... in general the stuff it was generating did not look like it was drawing on any knowledge of the remaining vectors in the dataset. (E.g. it generated a lot that were off-distribution.) I also tried Input = 83, 55, 24, 9, output = 0 Input = 73, 54, 28, 9, output = 0 [... all vectors of this class] Input = 76, 52, 26, 9, output = 0 Input = 86, 68, 27, 12, output = 0 Input = 75, 41, 69, 30, output = 2 Input = 86, 41, 76, 34, output = 2 Input = 84, 45, 75, 34, output = 2 Where I cherrypicked the "class 2" so that the first coordinate is lower than usual for that class; and the generated stuff always had the first coordinate very off-distribution from the rest of the class 2, as one would expect if the model was meta-learning from the vectors it sees, rather than "remembering" something. This last experiment might seem a little contrived, but bit of a probl
1[comment deleted]8mo
[linkpost] The final AI benchmark: BIG-bench
I think BIG-bench could be the final AI benchmark: if a language model surpasses the top human score on it, the model is an AGI.
Could you explain the reasoning behind this claim? Note that PaLM already beats the "human (Avg.)" on 150 tasks and the curve is not bending. (So is PaLM already an AGI?) It also looks like a scaled up Chinchilla would beat PaLM. It's plausible that PaLM and Chinchilla could be improved by further finetuning and prompt engineering. Most tasks in BIG-Bench are multiple-choice, which is favorable to LMs (compared to generation). I'd... (read more)
3RomanS8mo
I agree, some future scaled-up versions of PaLM & Co may indeed be able to surpass top humans on BIG-Bench. Ultimately, it's the question of how we define "AGI". One reasonable definition is "an AI that can do any cognitive task that humans can, and do it better than humans". Given its massive scope and diversity, BIG-bench seems to be a good enough proxy for "any cognitive task". Although I would use a stricter scoring than the average-across-tasks that was used in PaLM: the model must 1) beat top humans, 2) on each and every task of BIG-bench. One could argue that the simple models like PaLM don't have agency, goals, persistence of thought, self-awareness etc, and thus they can't become the human-like AGI of science fiction. But it's quite possible that such qualities are not necessary to do all cognitive tasks that humans can, but better. A simple mechanistic algorithm can beat top humans in chess. Maybe another simple mechanistic algorithm can also beat top humans in science, poetry, AI engineering, strategic business management, childrearing, and in all other activities that make human intellectuals proud of themselves.
[Linkpost & Discussion] AI Trained on 4Chan Becomes 'Hate Speech Machine' [and outperforms GPT-3 on TruthfulQA Benchmark?!]
I'm an author on TruthfulQA. They say GPT-4Chan gets 0.225 on our MC1 task. Random guessing gets 0.226. So their model is worse than random guessing. By contrast, Anthropic's new model gets 0.31 (well above random guessing).
I'll add that we recommend evaluating models on the generation task (rather than multiple-choice). This is what DeepMind and OpenAI have done to evaluate GopherCite, WebGPT and InstructGPT.
2Yitz8mo
lol that is impressively bad then!
Paper: Teaching GPT3 to express uncertainty in words
The indirect logit is trained with cross-entropy based on the groundtruth correct answer. You can't do this for verbalized probability without using RL, and so we instead do supervised learning using the empirical accuracy for different question types as the labels.
We didn't try but I would guess that finetuning on simple math questions wouldn't help with Metaculus forecasting. The focus of our paper is more "express your own uncertainty using natural language" and less "get better at judgmental forecasting". (Though some of the ideas in the paper might be useful in the forecasting domain.)
Why hasn't deep learning generated significant economic value yet?
This is a brilliant comment for understanding the current deployment of DL. Deserves its own post.
How do new models from OpenAI, DeepMind and Anthropic perform on TruthfulQA?
Owain_Evans1y
It would be interesting to evaluate RETRO as it works differently from all the models we've evaluated. WebGPT is finetuned to use a search engine and it uses this (at inference time) to answer questions. This seems more powerful than the retrieval system for RETRO (based on a simple nearest neighbor lookup). So my speculation is that WebGPT would do better.
We don't have plans to evaluate it but are open to the possibility (if the RETRO team was interested).
Lives of the Cambridge polymath geniuses
Keynes's involvement with the Versailles Peace Conference is quite well known. Russell was a famous public intellectual after leaving academia but I think is now better known for his earlier work in the foundations of mathematics and philosophy. Turing's codebreaking work is also well known.
I know less about Keynes. Feel free to suggest some.
Why I'm co-founding Aligned AI
Taxes in Oxford are more-or-less the same as anywhere else in the UK. These are lower than many European countries but higher than the US (especially states with no income tax).
Rent in SF is more than 2x Oxford (seems roughly right to me) but I agree with what you say on housing.
Having lived in SF and Oxford, the claim about crime and homelessness doesn't match my experience at all (nor any anecdotes I've heard). I'd be very surprised if stats showed more crime in Oxford vs the central parts of SF.
Ben Pace1y
The homeless in Oxford talked to me or followed me more than in Berkeley. (I haven't spent much time in SF.)
The Long Long Covid Post
I don't see a comparison to the base rate (before Covid).
1cistrane1y
And there are some results https://www.mdpi.com/1660-4601/18/21/11688/pdf
The trial is under way https://clinicaltrials.gov/ct2/show/NCT04871867
I didn't follow the links, but how did Bentham and Mill think about future utility?
1technicalities1y
Bentham was nonzero discount apparently (fn6) [https://eprints.whiterose.ac.uk/132301/1/benthams_binary_form_of_maximizing_utilitarianism.pdf] . (He used 5% but only as an example.) Mill thought about personal time preference (and was extremely annoyed by people's discount there). Can't see anything about social rate of discounting.
EleutherAI's GPT-NeoX-20B release
I get "potential security risk" from Firefox for that pdf link.
A Ray1y
Just copy-pasting the section
We believe that Transformative Artificial Intelligence (TAI) [Karnofsky et al., 2016] is approaching [Cotra, 2020, Grace et al., 2018], and that these systems will cause catastrophic damage if they are misaligned with human values [Fox and Shulman, 2013, Omohundro, 2008]. As such, we believe it is essential to prioritize and help facilitate technical research that ensures TAI's values will be aligned with ours.
AI Alignment generally refers to the problem of how to ensure increasingly powerful and autonomous AI systems per
Haldane wanted children but may have been infertile due to injuries suffered in WW1. IIRC Needham and his wife may also have had fertility issues.
Do you have a citation or excerpt on this?
1MichaelBowlby1y
https://plato.stanford.edu/entries/ramsey/#Life [https://plato.stanford.edu/entries/ramsey/#Life] Paragraphs 2 and 3 of the 'Life and works' section
See here [https://www.google.bs/search?tbm=bks&hl=en&q=I+yield+to+Ramsey%2C+I+think+he+is+right] . I think Ramsey is also the first (quantitative) longtermist [https://plato.stanford.edu/entries/ramsey-economics/] ever (zero discount rate).
I mentioned Ramsey in an another comment. Very brilliant polymath and likely would be included if he'd lived longer.
Interesting. One question is why people were attracted by non-capitalist economic systems. Another is why they were attracted by Marxism or by the Soviet Union.
2TAG1y
A third question is why they were disenchanted with capitalism. But it's not difficult to answer. ... there was the General Strike and the Great Depression. Someone was bulverising their rejection of capitalism as self-serving, but the cracks in capitalism were obvious.
2Matthew Barnett1y
The conceptual reason why anti-capitalists are attracted to Marxism or the Soviet Union is probably fairly simple. Marx provided a cogent critique of the capitalist economic system, disseminating one of the most widely-read political documents [https://en.wikipedia.org/wiki/The_Communist_Manifesto] of the 19th and early 20th century. The broader socialist tradition was happy to adopt his philosophy, as they believed it provided a solid scientific foundation for socialism more generally, and a reason for optimism. The Soviet Union was the first major socialist experiment. There had previously been attempts, such as the Paris Commune, but these were short-lived and had minor effects. Therefore, it's no surprise why intellectuals favorable to socialism would have plenty to be excited about regarding the Soviet Union. That's when they finally got to see their philosophy in action.
I'd be very interested in a quick summary of the explanation.
Matthew Barnett1y
It starts out bland and unoriginal. He lays blame on confirmation bias, citing Jonathan Haidt's social intuitionist model and Bryan Caplan's research on political irrationality,
Haidt shows that a lot of our moral and political reasoning is post-hoc rationalisation. Its primary purpose is not to arrive at a conclusion, but to justify a conclusion after we have reached it. We often arrive at a broad conclusion quickly and intuitively, and then selectively look for arguments to back it up retrospectively.
But why would people reflexively want to defend communi... (read more)
Is this a rhetorical question? What kind of evidence are you looking for?
At this point, it's more efficient to learn about Wittgenstein's contributions by reading more recent works. If you wanted some intro material on Wittgenstein's own work, you could try SEP, Grayling, or Soames [detailed historical development of analytic philosophy] but I haven't looked at these myself. Also any discussions by Dennett of Wittgenstein on philosophy of mind, Kripke (or McGinn's discussion) on Wittgenstein on rule-following, discussion of family resemblance f... (read more)
1tristanhaze1y
Wittgenstein had so many ideas and is such a difficult thinker that I think one ought to read him before secondary sources. Also he's a wonderful writer.
That last point ("more distal cause") is a very interesting idea. Thanks!
Julian and Aldous Huxley were at Oxford and mixed with Haldane and Needham for sure. Haldane was an undergrad at Oxford and his dad a professor.
Russell, Keynes, Wittgenstein and Haldane all visited the Soviet Union. Needham spent time in China during the Sino-Japanese War and again after the communist revolution. So some intellectuals had access to first-hand accounts -- though I agree that the permission to visit and the experience itself was tightly controlled. There were also lots of Russians and Chinese in exile who intellectuals could talk to.
I think Cambridge was much stronger than Oxford in STEM and philosophy until after WW2. Schrödinger was briefly at Oxford but they objected to his desire to live with both his wife and mistress. Outside of STEM, there was Tolkien, CS Lewis, and TE Lawrence.
Yes, I'd also like to understand better the attraction of communism. Some off-the-cuff ideas:
It was harder to get good information about the Russian or Chinese communists during certain periods. (No Internet, fewer reliable journalists, less travel in each direction).
Non-communist countries were much more violent than post-WW2. There was more homicide and more violence that involved the state (e.g. violence in prisons, colonial violence, civil wars, interstate wars). Maybe the Soviet Union up to 1935 didn't look radically different from non-Communist
Pablo1y
Keynes's view of Leninism seems similar to Russell's, and may have been influenced by it. Here's a quote from The Practice and Theory of Bolshevism (published in 1920):
Bolshevism is not merely a political doctrine; it is also a religion, with elaborate dogmas and inspired scriptures. When Lenin wishes to prove some proposition, he does so, if possible, by quoting texts from Marx and Engels. A full-fledged Communist is not merely a man who believes that land and capital should be held in common, and their produce distributed as nearly equally as possible. H
Interestingly, the oldest of the bunch, Bertrand Russell, had been writing criticisms of Marx as early as 1896. In his lecture "Marx and the Theoretical Basis of Social Democracy [https://users.drew.edu/jlenz/br-gsd/br-gsd-ch1.html]" he provides several arguments against Marxist economics, concluding,
Yes, I know less about Ramsey's life, but he was an incredible talent and interacted with Wittgenstein and Keynes. Paul Dirac and Ronald Fisher also spent part of their careers at Cambridge in this period but I know less about their lives. (There's also G. H. Hardy).
He convinced Keynes that Bayesianism was correct!
Covid 1/6/22: The Blip
Interesting Long Covid study from Israel finds approximately 50% reduction in symptoms post-Covid for the fully vaccinated (vs. unvaccinated). The study is prospective. There's a selection effect for who got vaccinated but I doubt this is a big issue (unvaccinated are younger + healthier -- education levels not that different).
https://www.medrxiv.org/content/10.1101/2022.01.05.22268800v1
Covid risk of staying at a hotel
Ask for a room where the neighboring rooms are unoccupied and ask for no cleaning service. Then risks should be low.
What explains the excess mortality?
There's going to be some significant error in estimating excess deaths, especially for developing countries.
Because of the exponential spread of the virus, if people lock down ~4 days earlier they'll end up with half as many deaths. (In reality lock downs aren't all-or-none, etc). So big absolute differences in number of deaths do not imply big differences in policy or culture between the UK and Sweden.
2021 AI Alignment Literature Review and Charity Comparison
Owain_Evans1yΩ5
This is a fantastic resource and seems like a great project for a research assistant. As with Rohin Shah's alignment newsletter, I'm excited to see this project continue and (potentially) expand.
2Larks1y
Thanks, that's very kind of you!
I agree with most of this -- and my original comment should have been clearer. I'm wondering if the past five years of direct observations leads you to update the geography-based prior (which has been included in your alignment review for since 2018). How much do you expect the quality of alignment work to differ from a new organization based in the Bay vs somewhere else? (No need to answer: I realize this is probably a small consideration and I don't want to start an unproductive thread on this topic).
Evans et al.'s Truthful AI: Developing and governing AI that does not lie is a detailed and length piece discussing a lot of issues around truthfulness for AI agents. This includes conceptual, practical and governance issues, especially with regard conversation bots. They argue for truthfulness (or at least, non-negligently-false)
The link should include "that does not lie".
length --> lenghty
Lin et al.'s TruthfulQA: Measuring How Models Mimic Human Falsehoods provides a series of test questions to study how 'honest' various text models are. O
Thanks, fixed in both copies.
Re: the Bay Area vs. other places. At this point, there's a fair amount of (messy) empirical evidence about how much being in the Bay Area impacts performance relative to being in other places. You could match organizations by area of research and do a comparison between the Bay and London/Oxford/Cambridge. E.g. OpenAI and Anthropic vs. DeepMind, OpenPhil (long-termist research) vs. FHI-GPI-CSER, CHAI vs Oxford and DeepMind. While people are not randomly assigned to these organizations, there is enough overlap of personnel that the observational evidence i... (read more)
Is your argument about personnel overlap that one could do some sort of mixed effect regression, with location as the primary independent variable and controls for individual productivity? If so I'm so somewhat skeptical about the tractability: the sample size is not that big, the data seems messy, and I'm not sure it would capture necessarily the fundamental thing we care about. I'd be interested in the results if you wanted to give it a go though! More importantly, I'm not sure this analysis would be that useful. Geography-based-priors only really seem useful for factors we can't directly observe; for an organization like CHAI our direct observations will almost entirely screen off [https://www.lesswrong.com/tag/screening-off-evidence] this prior. The prior is only really important for factors where direct measurement is difficult, and hence we can't update away from the prior, but for those we can't do the regression. (Though I guess we could do the regression on known firms/researchers and extrapolate to new unknown orgs/individuals). The way this plays out here is we've already spent the vast majority of the article examining the research productivity of the organizations; geography based priors only matter insomuchas you think they can proxy for something else that is not captured in this. As befits this being a somewhat secondary factor, it's worth noting that I think (though I haven't explicitly checked) in the past I have supported bay area organisations more than non-bay-area ones.
Let's buy out Cyc, for use in AGI interpretability systems?
Some small subsets of CYC were released (see Wiki). You could finetune a model on those and use that to estimate the value of the full dataset. (You could also talk to Michael Witbrock, who worked on CYC in the past and is familiar with AI alignment.)
There are also various large open-source knowledge bases. There are closed knowledge graphs/bases at Google and many other companies. You might be able to collaborate with researchers at those organizations.
3Mateusz Bagiński10mo
My superficial understanding is that Cyc has two crucial advantages over all current knowledge bases / knowledge graphs: 1. It is much, much bigger 2. Predicates can be of any arity (properties of one entity, relations between two entities, more complex, structured relationships between N entities for any N), whereas knowledge graphs can only represent binary relationships R(X,Y), like "X loves Y". If I understand it correctly, then Cyc's knowledge base is a knowledge hypergraph. Maybe it doesn't eventually matter and you can squeeze any knowledge encoded into Cyc's KB into ordinary knowledge graphs without creating some edge-spaghetti hell.
The Rationalists of the 1950s (and before) also called themselves "Rationalists"
I'm interested to know how much the prominent figures in these past Rationalist groups cared about rationality itself rather than its bedfellows (science, atheism, socialism or communism etc.). A related question is whether these groups sometimes functioned as a fig leaf for a certain kind of political association (e.g. scientifically-minded socialists).
From reading the J. B. S. Haldane biography linked in the OP, I got the sense that Haldane cared most about science and the status of scientists in society. He seems to care less about rational... (read more)
This is a great list of posts. I had some of these in mind but hadn't remembered all of these. Thanks!
There is also a French non-profit called the Rationalist Union, co-founded by Langevin (of the Langevin Equation and Twin Paradox). Apparently, Borel, Einstein, and Hadamard all had some honorary role in the past. Like the British Rationalist Association, it seems it was associated with socialism and communism during the mid-20th Century. The best source I could find is translated French Wikipedia.
JenniferRM1y
Yeah. The communist associations of past iterations of "rationalist" schools or communities is one the biggest piles of skulls I know about and try to always keep in mind.
Wikipedia uses this URL about Stalin, Wells, Shaw, and the holodomor as a citation to argue that, in fact, many of them were either duped fools or worse into denying the holodomor. Quoting from the source there:
Shaw had met Stalin in the Kremlin on 29 July 1931, and the Soviet leader had facilitated his tour of Russia in which he was able to observe, at least to his own satisfaction, that
Shulman and Yudkowsky on AI progress
Interesting. Can you point to a study by external researchers (not DeepL) that compares DeepL to other systems (such as Google Translate) quantitatively? After a quick search, I could only find one paper, which was just testing some tricky idioms in Spanish and didn't find significant differences between DeepL and Google. (Wikipedia links to this archived page of comparisons conducted by DeepL but there's no information about the methodology used and the difference in performance seem too big to be credible to me.)
6RomanS1y
The primary source of my quality assessment is my personal experience with both Google Translate and DeepL. I speak 3 languages, and often have to translate between them (2 of them are not my native languages, including English). As I understand, making such comparisons in a quantitative manner is tricky, as there are no standardized metrics, there are many dimensions of translation quality, and the quality strongly depends on the language pair and the input text. Google Scholar lists [https://scholar.google.com/scholar?start=0&q=DeepL+Google] a bunch of papers that compare Google Translate and DeepL. I checked a few, and they're all over the place. For example, one [https://czasopisma.bg.ug.edu.pl/index.php/beyond/article/view/4061] claims that Google is better, another [https://aclanthology.org/2020.acl-main.154/] claims that they score the same, and yet another [https://www.dfki.de/fileadmin/user_upload/import/10174_TQ-AutoTest_Novel_analytical_quality_measure_confirms_that_DeepL_is_better_than_Google_Translate.pdf] claims that DeepL is better. My tentative conclusion: by quantitative metrics, DeepL is in the same league as Google Translate, and might be better by some metrics. Which is still an impressive achievement by DeepL, considering the fact that they have orders-of-magnitude less data, compute, and researchers than Google.

redpajama_set_name: RedPajamaCommonCrawl


text:
Pit bull, rottweiler put boy, 2, in ICU for 2 weeks
Mother recalls gruesome attack that ended with officers shooting, killing family dogs
Updated: 10:20 PM MDT Sep 11, 2014
Royale Da
Royale reports
When two dogs ripped a woman's toddler from her arms with their jaws and then turned on her last month in Rio Rancho, they didn't stop until officers shot and killed the animals.EDITOR'S NOTE: Elements of this story may not be suitable for children.Her 2-year-old's head is marked with healing cuts from the gruesome attack."It was relentless," said Christine Ball.Ball said she was house-sitting for her dad when one of the dogs attacked. She ran to help before the other also turned violent."When I grabbed (my son), that's when the other dog, the boxer pit, decided to jump in and join the rottweiler," she said.Ball was shielding her son and said they bit through her ribs, shoulder and back. She managed to run behind nearby bushes."The rottweiler dragged us out of the bushes, and that's when he grabbed (my son) by his skull and started pulling his skin away from his skull," she said. "At that point the pit bull was pulling me from the legs."At this point, Ball admits she was terrified."It was like his body was in a tug of war between me and the rottweiler. I was concerned about trying to pull him, that he might come apart," she said.She decided to hang on while her other son got help."One of the officers scaled the wall and shot the pit first, then the rottweiler," she said. "It was still attacking us, so they had to shoot him again."The bullets ended the attack. Ball said she isn't sure how long the attack lasted but estimates about 25 minutes."They rolled me over and saw I had (my son) underneath me," she said, adding his insides were ripped out of his body."They said he had so many holes in his intestines they lost count," she said.She was in a hospital for a week, and her son was in an intensive care unit for two weeks.Ball said the dogs never showed aggression before. The family loved the dogs, she said, and considered them part of the family. Her father owned them for eight years.The boy is healing well and has begun playing like a child again.Mobile users: Tap for video
RIO RANCHO, N.M. —
When two dogs ripped a woman's toddler from her arms with their jaws and then turned on her last month in Rio Rancho, they didn't stop until officers shot and killed the animals.
EDITOR'S NOTE: Elements of this story may not be suitable for children.
Her 2-year-old's head is marked with healing cuts from the gruesome attack.
"It was relentless," said Christine Ball.
Ball said she was house-sitting for her dad when one of the dogs attacked. She ran to help before the other also turned violent.
"When I grabbed (my son), that's when the other dog, the boxer pit, decided to jump in and join the rottweiler," she said.
Ball was shielding her son and said they bit through her ribs, shoulder and back. She managed to run behind nearby bushes.
"The rottweiler dragged us out of the bushes, and that's when he grabbed (my son) by his skull and started pulling his skin away from his skull," she said. "At that point the pit bull was pulling me from the legs."
At this point, Ball admits she was terrified.
"It was like his body was in a tug of war between me and the rottweiler. I was concerned about trying to pull him, that he might come apart," she said.
She decided to hang on while her other son got help.
"One of the officers scaled the wall and shot the pit first, then the rottweiler," she said. "It was still attacking us, so they had to shoot him again."
The bullets ended the attack. Ball said she isn't sure how long the attack lasted but estimates about 25 minutes.
"They rolled me over and saw I had (my son) underneath me," she said, adding his insides were ripped out of his body.
"They said he had so many holes in his intestines they lost count," she said.
She was in a hospital for a week, and her son was in an intensive care unit for two weeks.
Ball said the dogs never showed aggression before. The family loved the dogs, she said, and considered them part of the family. Her father owned them for eight years.
The boy is healing well and has begun playing like a child again.
Mobile users: Tap for video


text:
IZ*ONE's Security Guard Goes Savage Trying To Protect Members From Being Photographed
He was set on protecting the members.
IZ*ONE, with their soaring popularity in the K-Pop scene, have already had a scare at the airport with aggressive fans trying to get closer to take more pictures of the members. Back in 2018, the security guards had some trouble pushing back such fans. Now in 2019, however, they have implemented a new savage way of stopping the "photographers" – and it is receiving mixed reviews.
In this clip, IZ*ONE's security guard is seen flashing his laser beam at the cameras trying to take pictures of the member standing next to him. While the member checks her passport and boarding pass, both of which contain private, personal information about herself, the security guard tries his best to stop the "fans" trying to take pictures of her up close.
The thing about laser beams is, when directed straight into the camera lens, it can permanently damage the camera's sensor. This means, when there is laser rays involved, it becomes harder for the photographers to snap pictures. Here's an example of the damage that lasers can inflict on camera sensors:
Many IZ*ONE fans are now praising the security guard for coming up with such a savage way of stopping the aggressive fans from taking excessive pictures of the members. Without having to get physically involved, the security guard single handedly warned the photographers and prevented the 2018 situation from happening again.
This is kind of smart. It's bette than getting physical.
— Netizen
They've asked multiple times to stop photographing. But no one listened, and so the laser. I think it's good. IZ*ONE had too many scares because of these aggressive picture-taking fans.
Obviously, if everyone had manners in the first place, no one would need to use any kind of lasers. So just stop crossing the line.
Unfortunately, others are concerned with the safety of shooting laser beams at the fans. Those who are offended are most upset with the security guard's decision to flash everyone in the eyes with a laser beam, when the side effects of lasers directly involve damages to the eyesight.
If it's strong enough to damage a camera lens, wouldn't it be strong enough to damage eyesight? Is this even safe?
But what about the other airport users?
My eyes hurt just looking at the clip though.
As the discussion continues to grow heated, some camera and laser savvy netizens are stepping forward to point out that the security guard does not seem to be using an actual laser beam, but only a flash object. All in all, regardless of what was used, everyone is coming to an agreement that there needs to be order at the airport; and that in the first place, had everyone followed the rules, there wouldn't have been a need to use any laser or flash at anyone.
Check out this video to see how up close and personal some of these "fans" get to IZ*ONE members to take photos:
IZ*ONE's Wonyoung Opens Up On What It's Like Being The Maknae Of The Group
Jang Won Young Look-A-Like And "Miss Trot 2" Contestant Declines All Love Calls From Companies
CJ ENM And IZ*ONE Are Talking About A Potential Contract Extension For The Group's Activities
See more IZ*ONE


Bed and breakfast - Disfruta tus vacaciones ó el tiempo que desees en un lugar muy tranquilo y hermoso que es Guanajuato.
Bed and breakfast - Highly recommended for its great location inside the historic center. Good value and cleanliness makes this place unique. Its well know that the staff in la Casa del Tio always go for the extra mile to please their international clientele.
Hotel reservations, travel bookings, hotel search in Guanajuato, Mexico - Instant World Booking.


Description: Enjoy and explore the best of both worlds with an all-inclusive twin-centre holiday tour package to Greece's Santorini and Crete by Citrus Holidays. If you are looking for both the luxury and nature, you should look up for this exciting offer of eight days and seven nights from Santorini to Crete, where you will get to explore both the cosmopolitan atmosphere and serene environment. This Greece tour package kicks off with a visit to Santorini, a city that erupts with its charm and picturesque locations. It is also known to be the most romantic Greek Island, born from an ancient volcanic eruption which makes it a fascinating Island to explore. For the accommodation in Santorini, you will be staying at the four-star Imperial med hotel situated on the secluded beach of Aghia Paraskevi, near Kamari beach, on the exotic Greek island of Santorini. After the wonders of Santorini, we will take you to the natural beauty of Crete. Your stay will be at the 5 Star Sentido Vasia Resort & Spa on an All-Inclusive Board Basis. The extensive complex of the Sentido Vasia Resort & Spa lies in the picturesque fishing village of Sissi on the north-east coast of Crete above a small rocky cove with a beach.


The Bears had an exciting win at the last minute, although not quite as dramatic as the Hokies yesterday. Still, big win over the Steelers!
Daisy met Suzanne & Joe today, and Callie for the first time. I forgot to mention yesterday that Daisy also met the whole Losse clan (Jim, EJ, Jefferson and Jesse & JD).
Today, we tried a pacifier for the first time. Daisy seemed to like it okay.


text:
<?php
require __DIR__.'/../../autoload.php';

use Komtet\KassaSdk\v2\AdditionalUserProps;
use Komtet\KassaSdk\v2\Agent;
use Komtet\KassaSdk\v2\Client;
use Komtet\KassaSdk\v2\MarkCode;
use Komtet\KassaSdk\v2\MarkQuantity;
use Komtet\KassaSdk\v2\OperatingCheckProps;
use Komtet\KassaSdk\v2\Order;
use Komtet\KassaSdk\v2\OrderBuyer;
use Komtet\KassaSdk\v2\OrderCompany;
use Komtet\KassaSdk\v2\OrderPosition;
use Komtet\KassaSdk\v2\OrderManager;
use Komtet\KassaSdk\v2\SectoralCheckProps;
use Komtet\KassaSdk\v2\SectoralItemProps;
use Komtet\KassaSdk\v2\TaxSystem;
use Komtet\KassaSdk\Exception\SdkException;
use Komtet\KassaSdk\Exception\ApiValidationException;

$key = 'YOUR_SHOP_ID'; // идентификатор магазина
$secret = 'YOUR_SHOP_SECRET'; // секретный ключ
// PSR-совместимый логгер (опциональный параметр)
$logger = null;
$client = new Client($key, $secret, $logger);
$orderManager = new OrderManager($client);

$order = new Order('123456', 'new', true);

// Информация о компании
$orderCompany = new OrderCompany(TaxSystem::COMMON, 'Улица Московская д.4');
$orderCompany->setPlaceAddress('г. Москва'); // Адрес расчетов
$orderCompany->setINN('502906602876'); // ИНН организации
$order->setCompany($orderCompany);

// Дата и время доставки
$order->setDeliveryTime('20.02.2022 14:00',
                        '20.02.2022 15:20');

// Информация о покупателе
$orderBuyer = new OrderBuyer('+87654443322',
                             'г.Пенза, ул.Суворова д.10 кв.25',
                             'Сергеев Виктор Сергеевич',
                             '502906602876',
                             'client@email.com');

// Координаты доставки заказа
$orderBuyer->setCoordinate('123', '780');

$order->setOrderBuyer($orderBuyer);

// Идентификатор курьера
$order->setCourierId(5);

// Адрес для получения отчёта по заказу
$order->setCallbackUrl('https://test.ru/callback-url');

// Комментарий к заказу
$order->setDescription('Комментарий к заказу');

// Дополнительный реквизит пользователя
$additional_user_props = new AdditionalUserProps('name', 'value');
$order->setAdditionalUserProps($additional_user_props);

// Отраслевой реквезит чека
$sectoral_check_props = new SectoralCheckProps('001', '25.10.2020', '1', 'значение отраслевого реквизита');
$order->setSectoralCheckProps($sectoral_check_props);

// Возможность добавления нескольких SectoralCheckProps
$sectoral_check_props2 = new SectoralCheckProps('002', '01.01.2020', '2', 'значение отраслевого реквизита2');
$order->setSectoralCheckProps($sectoral_check_props2);

// Операционный реквизит пользователя
$operating_check_props = new OperatingCheckProps('0', 'данные операции', '12.03.2020 16:55:25');
$order->setOperatingCheckProps($operating_check_props);

// Дополнительный реквизит чека
$order->setAdditionalCheckProps('доп. реквизит чека');

// Позиции заказа
$orderPosition = new OrderPosition(['order_item_id' => '1',
                                    'name' => 'position name1',
                                    'price' => 555.0,
                                    'quantity' => 1,
                                    'total' => 555.0,
                                    'type' => 'service',
                                    'vat' => '20',
                                    'measure' => 0,
                                    'excise' => 5,
                                    'country_code' => '6',
                                    'declaration_number' => '7',
                                    'user_data' => 'доп. реквизит',
                                    'is_need_mark_code' => false,
                                    ]);

// Агент по предмету расчета
$agent = new Agent(Agent::COMMISSIONAIRE, "+77777777777", "ООО 'Лютик'", "502906602876");
$orderPosition->setAgent($agent);

// Отраслевой реквизит предмета расчета
$sectoral_item_props = new SectoralItemProps('001', '25.10.2020', '1', 'значение отраслевого реквизита');
$orderPosition->setSectoralItemProps($sectoral_item_props);

// Возможность добавления нескольких SectoralItemProps
$sectoral_item_props2 = new SectoralItemProps('002', '26.01.1935', '15', 'значение отраслевого реквизита2');
$orderPosition->setSectoralItemProps($sectoral_item_props2);

// Дробное количество маркированного товара
$mark_quantity = new MarkQuantity(1, 2);
$orderPosition->setMarkQuantity($mark_quantity);

// Атрибуты кода товара (маркировки)
$mark_code = new MarkCode(MarkCode::GS1M, '0123455g54drgdfsgre54st5ergdfg');
$orderPosition->setMarkCode($mark_code);

$order->addPosition($orderPosition);

$order->applyDiscount(100);

try {
    $orderManager->createOrder($order);
} catch (ApiValidationException $e) {
    echo $e->getMessage();
    echo $e->getVLDCode();
    echo $e->getDescription();
} catch (SdkException $e) {
    echo $e->getMessage();
}

redpajama_set_name: RedPajamaGithub


Our obstacles are our problems. They are what stand in our way to an easy life. Our obstacles make our life difficult, and we just know, that the day we manage to get rid of them all, everything will be so much better...or will it?
Obstacles really have a bad rap. Life's burdens. Our crosses. (Someone once announced that I was his cross...don´t ask).
The very connotation of obstacle is something grim, gloomy, foreboding, awful, and the dictionary tells us that it is a barrier and a hindrance, an impediment, an interference, a difficulty and an inconvenience.
And yet, obstacles, by their very nature, precisely because they must be overcome if we are to surmount them, offer an innate opportunity. If we allow ourselves to view obstacles from another standpoint, we might just come to the conclusion that obstacles are our friends.
Yes. Our friends. That old business about every cloud having a silver lining...there is actually some merit in it. If you can look at your obstacles as opportunities for growth, there is not a shred of doubt in my mind that you will find something of value in your moment of difficulty, and furthermore, you may even find that in some measure, the obstacle proves easier to overcome than others in the past, simply because of this new viewpoint.
When my mother died when I was 19, while I was traveling abroad without the faintest idea that she was even ill, I was hurled headfirst into a bottomless black pit of gut-wrenching despair. I thought at first that I would never come back out of it. I imagined her having known that she was dying of a very fast-moving cancer, letting me go on my trip, taking the decision not to tell me so that I did not have to watch her die, and I felt myself tear into pieces. I could not imagine that I would ever be able to leave that black subterranean place that accosted me with its ferocious pain as I woke up every morning, and held me in its gelid embrace as I fell asleep at night.
After only a few days, out of some deep place inside of me, I knew that this had to serve a greater purpose. She could not have died in the manner in which she did, without it coming to mean something valuable in my life. I had to make something of it. And I did. I began to realize the importance of the now moment. I began to appreciate the utmost wonder of every moment we have that we can share with those we love. I recognized how important it was to tell those we love that we love them. It's not enough to know that they know...it's also necessary to put it into words every so often.
Those early lessons didn't make me perfect. I fell by the wayside many times, and certainly will again, but they placed me firmly on a road from which I have not side-tracked for decades. And they taught me that all our obstacles, or our challenges, if we make the choice to view them through this new prism, can indeed become our friends, teach us important lessons about life, and thus bring us to a place where we actually live life more authentically and in a much better way.
How Do You React To Things?
How Are You Treating Your Jaguar?


Published at Tuesday, April 23rd, 2019 - 8:35 PM. 3 Wiring Diagram. By Billy L. Stokes.
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I don't know what I'm missing. This should be very simple.
When I send a test email from the initial campaign, and click the link, I do not receive a follow up email. For testing purposes, I set the wait time at 1 minute.
Please move the thread to Products. This isn't a support space (Move link will be at the right).
When building unfamiliar trigger campaigns, always start with the past Activity Log of a lead (test lead or real lead) that models what you want to capture.
Look for the Clicks Link in Email activity in the ActLog and mirror its parameters.
You can show us a screenshots of a model ActLog entry (the details popup) and your campaign's Smart List, Flow, and Setup tabs.
Additionally, this runs better as a daily batch. There isn't a need to trigger this if you are going to wait until the next day.


text:
ITV's Rufus Radcliffe scoops marketer of the year prize
Radcliffe was the popular choice of a jury consisting of some of the UK's most prominent marketing voices. He was selected from a shortlist of the highest rated marketers in the Marketing Week Top 100, sponsored by Salesforce.
It's been a big 18 months for ITV CMO Rufus Radcliffe. In June 2019, he took on additional responsibility for its direct-to-consumer division, including the brand's premium streaming service ITV Hub+, which now has more than 400,000 paid-up users. He is also a director of BritBox, the streaming venture from ITV and the BBC, which has seen "strong growth" in UK subscribers since launching in November 2019.
To top if off, he is now been named Marketer of the Year at the Marketing Week Masters awards. Radcliffe was the popular choice of a jury consisting of some of the UK's most prominent marketing voices. He was the top choice from a shortlist of the highest rated marketers in the Marketing Week Top 100, sponsored by Salesforce.
ITV also scooped the award for Team of the Year and the Grand Prix for 'Britain Get Talking', an initiative it created with Uncommon to encourage conversations about mental health.
Rufus Radcliffe has been on ITV's management board since 2017, overseeing marketing. In the fiercely competitive world of TV, Radcliffe has helped shift the ITV brand away from its "cosy" image towards something more culturally relevant, especially among lighter viewers.
He's ramped up the company's marketing capabilities by hiring a director of consumer marketing and a director of media to "get people to watch our stuff and spend time with us", as well as creating an econometric model to understand media effectiveness.
Radcliffe is also passionate about integrating artificial intelligence (AI) into the business, and is using AI to build complex ad products for the ITV Hub. He also managed to poach Sanjeevan Bala from Channel 4 as ITV's new group chief data and AI officer at the start of the year.
Analysis Case Studies ITV Marketing Leadership Media
Why design and marketing should become strategic partners
Matthew Valentine
Brands across the marketing spectrum are reaping the rewards of joining forces with design at the start of the strategic process.
6 Jan 2020 7:22 am
Your 2020 to-do list
Russell Parsons
From standing up and being proud of marketing as a career, to turning back to insight to understand customers, and from the need for new routes to attract a more diverse workforce, to TimeTo campaign's uphill struggle, we set out the key items that need to be on your list of priorities in 2020.
What is programmatic advertising? A beginner's guide
Charlotte Rogers
As programmatic evolves into digital out-of-home, TV and audio, it is more important than ever to get to grips with the basics in order to devise an optimised strategy.


Italian painter who trained in the circle of Bartolomeo Montagna. In 1492 he is documented in San Vito. His collaboration with Gianfrancesco da Tolmezzo and Pietro Fuluto is verified. His principal work in Friuli is that of the frescoes in S. Pietro in Valvasone, strongly influenced by Montagna.


text:
Glaudi Barsotti (also spelled Claudi Barsòtti in Occitan or Claude Barsotti in French) is an Occitan writer and journalist born in Marseille.

Selected works
 A flor e mesura, cronicas d'un jornalista, 1963
 Lo lop en Occitània, 1964
 Antologia deis escrivans sociaus provençaus (1875 a 1914), 1975
 La tèrra deis autres, roman, Vent Terral, 1979
 Le music-hall marseillais de 1815 a 1914, 1984
 Parlam provençau (obratge collectiu), 1971
 Un sègle de premsa occitana a Marselha de 1840 a 1940, 1981-1982
 Cronicas, 1990
 Bestiari d'Occitània, Lexic latin-occitan provençau-francés dei vertebrats d'Occitània, IEO Sector Recèrca, 1992 (255 p., ).
 Un papier sensa importància, novel, IEO, 1994
 Le bouil et le tian: la cuisine du terroir provençal, 1996, Ais de Provença, Edisud
 Testimòni d'un niston de la guèrra, autobiografia, IEO, 2002,
 L'estraç, novel, IEO, 2002,
 Lo comunard de la Mitidjà, novel, IEO,

Occitan-language writers
Living people
Year of birth missing (living people)


Save Sean Edward to your Collection. Register Now!
Sean Edward Whelan was born in Australia and received in a BFA from Tasmanian School of Art in 2002. He currently lives in Niigata, Japan.
Pencil drawing is his great passion. His illustration practice is influenced by the alternative and lowbrow art scene in Melbourne, and more recently the Japanese Kaijyu style.
His work has been exhibited in Australia, Japan and the US.
Great work love the details and the way the drawing using architectual exteriors forms figures.
I'm a big fan of Sean Edward's work. Always amazed at the commitment to such precise tiny detail.


These nodes are essentially servers that function within a blockchain network. 22 Cryptocurrency Projects Slated.ACOIN digital currency that enables fast instant payments, ACOIN is designed to be a rare Cryptocurrency Limited to only 1,600,000 Coins.
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How NEM was Designed to be the Coin of the Future. with academic research in network theory. when you sign up for Medium.
DasCoin is the store of value in the Das. user friendly wallet system and a regulation-friendly global network of KYC authenticated users.
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At Walletinvestor.com we predict future values with technical analysis for wide selection of digital coins like Raiden Network Token.
It works by constantly indexing and allocating resources in the network for. (also by vigilant members of the bitcointalk community).Offering the most profitable investment opportunity with rewarding rates of up to 720% per annum when staking your coin on the network. the SFICOIN network it.
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Buy Guaranteed visitors to your website using Coin Adder PTC advertising network. ITL is a ERC20 Token based on Ethereum blockchain,. network, there is always a.


text:
Woman to Woman kann mehrere Bedeutungen haben:

 Woman to Woman (Organisation) ist der Name einer israelischen, emanzipatorischen Frauenbewegung, gegründet von Gail Dines
 Woman to Woman: Candid Conversations from Me to You, ein Buch der christlichen Autorin Joyce Meyer
 Woman to Woman (Joe Cocker) ist ein Lied von Rockmusiker Joe Cocker aus dem Jahre 1972

Siehe auch:
 Weib gegen Weib


In this section, I'd like to share with you videos available on YouTube on the topics of native speakerism in ELT and ELF. Some of these videos are recordings of conference talks, while others summaries of important research that has been done. I won't share here the videos recorded by TEFL Equity, but please visit TEFL Equity YouTube channel to see them. There you'll find recordings of past webinars as well as many interviews with prominent ELT figures.
'The Invention of the Native Speaker. Multilingual, 2.0?' by Thomas Paul Bonfiglio.
'The Native Factor, the haves and the have-nots' by Silvana Richardson (recording available here).
'Native and Non-Native Teachers of L2 Pronunciation: Effects on Learner Performance' by Levis, J., Sonsaat, S., Link, S. and Barriuso, T. A. (2016). TESOL Quarterly, early view. Available on-line here.
2. 'White Native English Speakers Needed: The Rhetorical Construction of Privilege in Online Teacher Recruitment Spaces'. Ruecker, T. and Ives, L. (2015). TESOL Quarterly, 46/4, p. 733-756. Available on-line here.
3. 'World Englishes: Implications for International Communication and English Language Teaching'. Kirkpatrick, A. (2007). Cambridge University Press.
4. Initial teacher training courses and non-native speaker teachers. Anderson, J. (2015). ELT Journal, 70(3), 261-274.
Of course, this is probably just the tip of the iceberg. So if you come across any other videos on the subject, please get in touch and I'll add them to the list. You might also enjoy the Reading List, which has links to academic publications and blog posts on the topic which are freely available on the Internet.


BRUHM is among the best home appliances manufacturers that makes quality, durable and efficient home appliances. Among these appliances is the BRUHM BRD -H275BS Double Door Refrigerator which is efficient, durable and easy to use. So when looking for that great refrigerator, look no further, Bruhm is the way to go.
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text:
Painting Styles & Schools
Art Articles
Read about the works and biographies of famous painters such as Marc Chagall, Leonardo Da Vinci, Paul Klee, Henri Matisse, Claude Monet, Pablo Picasso, Joseph Mallord William Turner and Vincent Van Gogh.
Artist: Marc Chagall
Background: This Russian-born French painter was born to a humble Jewish family in the ghetto of a large town in White Russia in July 7, 1887. He passed a childhood steeped in Hasidic culture and brought back the forgotten dimension of metaphor into French formalism. Chagall's painting styles are Expressionism and Cubism. This painter-poet is famous for his paintings of Russian-Jewish villages and violinists.
Famous Works: Over Vitebsk, The Violinist, The Praying Jew, I and the Village
Artist: Leonardo Da Vinci
Background: He was one of the greatest painters of the Italian Renaissance, yet he left only a handful of completed paintings. It was the period of the renaissance when Leonardo da Vinci was born on April 15, 1452 in an Italian town called Vinci. Da Vinci was a sculptor, a scientist, an inventor, an architect, a musician, and a mathematician. When he was twenty, he and Verrocchio created a painting called The Baptism of Christ in 1476. This painting was an order for Andrea del Verrocchio from the cloister S. Salvi. DaVinci's paintings were done in the Realist style.
Famous Works: Mona Lisa, The Last Supper, Madonna and Child, The Virgin of the Rocks
Background: Henri Matisse was born on December 31, 1869 to a grain merchant in the Picardy region of Le Cateau Cambresis, France. He first got a degree in law and then decided to become an artist. When Henri Matisse was 21 years old he became seriously ill. Two years later, in 1892, he gave up his career as a lawyer. He attended art classes at the Ecole des Beaux-Arts in Paris and dabbled in different styles. He then was influenced by the impressionist and post-impressionist painters Pisarro, Cezanne, van Gogh, Gauguin and Paul Signac and by the paintings of W. Turner. Because Matisse had cancer, he became confined to a wheelchair. It was then when he completed one of his most famous works, painting the inside of the Chapelle du Rosaire. Henri Matisse died on November 3, 1954 in Nice as an internationally well known and highly reputable artist.
Famous Works: Chapel of the Rosary in Vence, The Snail, Beasts of the Sea, Creole Dancer, La Fougere Noire
Artist: Claude Monet
Background: Claude Monet was one of the founding fathers of French Impressionism. Monet's concern was to reflect the influence of light on a subject. He was born on November 14, 1840 in Paris but grew up in Le Havre. He took his early art lessons from the painter, Eugene Boudin. Boudin. Claude's family was not very happy about his vocation for painting. In 1860 he was drafted and had to go to Northern Africa for two years. After his return from Africa he went to Paris and took painting lessons at Gleyre's studio in Paris. In 1874 Monet and a group of painters including Pissarro and Renoir banded together to form a society of artists. The nucleus of the future Impressionist movement was born. In 1883, he settled in Giverny, France and continued to paint, and explore his fascination with light until his death on December 5, 1926.
Famous Works: Morning Haze, Marine Near Etretat, Lily Pond
Background: Pablo Picasso was born on October 25, 1881 in Malaga, Spain, as the son of an art and drawing teacher. His father was a teacher and an artist in Spain where Pablo Picasso was born. In 1893 Pablo became an artist under his fathers instruction. His Blue Period was triggered at this time by a close friend's suicide in a Parisian Café. Picasso's Blue Period paintings depict blue isolation and urban squalor. Picasso created the famous works Blue Nude (1902) and The Old Guitarist (1903/4) during this period. Between 1907-1911 Picasso started his early cubism stage. Some examples are Fruit Dish and Ma Jolie. Picasso continued his prolific work in painting, drawing, prints, ceramics, and sculpture until his death on April 8, 1973.
Famous Works: Guernica, Three Musicians, The Three Dancers, Self Portrait: Yo Picasso
Artist: Joseph Mallord William Turner
Background: Joseph Mallord William Turner, often called "the painter of light", as well as "the great pyrotechnist", was born in London, England on April 23, 1775, at his parents home on 21 Maiden Lane, Covent Garden. This english was one of the greatest romantic interpreters of nature in the history of Western art and is still unrivaled in the virtuosity of his painting of light. Turner studied at the Royal Academy School in 1789 and had his first exhibition one year later. He started his career by painting watercolours and producing mezzotints under the strong influence of John Robert Cozen's work. Then, in 1796, he launched into oil painting, working in the neoclassical manner of Richard Wilson and Nicolas Poussin, with results that found wide acclaim. He exhibited his first picture Fishermen at Sea (1796) in the Royal Academy exhibition in 1796. He was elected an Associate in 1799 and in 1802 a full member of the Royal Academy. Over the span of his life, Turner created over 20,000 watercolors, oil, and drawings. Turner is also renowned as one of the best British landscape painters and a predecessor of Modern British Art.
Famous Works: Fishermen at Sea, Warkworth Castle, Northumberland - Thunder Storm Approaching at Sun-Set, Morning Amongst the Coniston Fells, Cumberland, The Shipwreck
Artist: Vincent Van Gogh
Background: Vincent Willem van Gogh was born on March 30, 1853, in Zundert, in the south of the Netherlands, as the oldest son of Theodorus van Gogh, a preacher and Anna Cornelia Carbentus. Van Gogh's birth came one year to the day after his mother gave birth to a first, stillborn child also named Vincent. Over the course of his 47 years, Vincent painted some of the most renowned paintings of our time. Although Vincent van Gogh is a world-famous artist today, he did not get much recognition during his lifetime. Vincent also suffered from severe depression and was admitted to an asylum in December 1888, after mutilating the lower portion of his left ear. While in the asylum, Vincent converted an adjacent cell into a studio, where he produced one of his best-known paintings, Starry Night, among the 150 paintings he painted there. On July 27, 1890, Vincent walked to a wheatfield and shot himself in the chest and died two days later, on July 29.
Famous Works: The Starry Night, Wheatfield with Crows, Portrait of Dr. Gachet


text:
Courtesy of Cheez-It
There Is a Secret Underground Bunker Full of Cheez-Its and There's About to Be a National Hunt to Find It
There has been growing concern over the last several years that the world may end, and if it does do you want to be without your cheese flavored snack crackers? You do not! Taking steps to ensure the safety its newest release, Cheez-It has created an bunker, deep underground somewhere in the United States and the cracker maker is going to let you hunt for it.
The bunker, which is full of Cheez-It Snap'd, a super thin and crunchy version of the traditional Cheez-It, was created, according to a press release, because "people have been grabbing multiple bags at stores and Cheez-It is genuinely concerned about a shortage." While that doesn't sound like a very real justification for building this bunker, that doesn't make it any less real. A mock-up released by Cheez-It shows an all-white room that looks like it could have come out of CB2 catalog, except for the hundreds of bags of Cheez-It Snap'd strewn all over.
At the moment the snack maker is being cagey about the location of the crunch-filled safehouse though. "The exact coordinates of the Snap'd bunker are a secret—it might be tucked away in a cheese cave, an old cellar or a retired subway tunnel." That secret will start to be revealed starting on May 14 when Cheez-It starts tweeting out clues to the bunker's location.
This isn't just some kitschy, for-the-fun-of-it scavenger hunt either. Whoever finds the bunker first will be rewarded with a year's supply of the new snacks along with a huge TV and a year-long subscription to a streaming service. Whether or not you'll be allowed to hole up in the bunker for that year though remains to be seen.


You should never have to sacrifice confidence and comfort. Cakmes Dental Studio understands the importance of a natural-looking smile, and will work with you to ensure your dentures are well-designed, durable and comfortable.
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In addition to conventional full and partial dentures, we offer implant-supported dentures. If you are seeking a more stable, long-lasting solution due to complete tooth loss, this may be an option for you. Unlike conventional dentures, implant-supported dentures do not simply rest on your gums, but are designed to attach securely to surgical implants in the jaw bone.
Contact us to start your journey to dentures that fit well and feel great.


text:
const Joi = require('joi');

module.exports = {
  contentBase: Joi.string().min(1),
  port: Joi.number().min(80),
  inline: Joi.boolean(),
};


PHILADELPHIA (CBS) — One of Philadelphia's leading entrepreneurs and business leaders has died. Ralph Roberts, who started Comcast Corporation and built it into a Fortune 50 company, died last night in Philadelphia of natural causes.
Roberts was 95, and had handed over the reins of Comcast more than a decade ago to his son Brian, who expanded the company even beyond his father's far-seeing vision and led Comcast to own NBC Universal.
Cohen notes that Roberts' passing is a loss for the entire city, a city he loved and supported, both with philanthropy for institutions such as the Philadelphia Orchestra and as a businessman.
Now, Comcast is the nation's largest provider of cable TV and home Internet service.
Roberts moved from New York to Philadelphia when he was 17, graduated from Germantown High School, and put himself through Penn.
In 1963, he bought a 1,200-subscriber cable company in Tupelo, Miss., and built it into the multimedia empire it is today.
Cohen says he's happy that Roberts was recognized with the Philadelphia Award earlier this year.
Roberts is survived by his wife of 70 years, Suzanne, and four of his children. They will have a private service but plan a remebrance ceremony in the future.


text:
package permafrost.tundra.data.transform.string;

import permafrost.tundra.data.transform.Transformer;
import permafrost.tundra.data.transform.TransformerMode;

/**
 * Trims whitespace from elements in an IData document or IData[] document list.
 */
public class Trimmer extends Transformer<String, String> {
    /**
     * Creates a new Trimmer object.
     *
     * @param recurse Whether to recursively transform child IData documents and IData[] document lists.
     */
    public Trimmer(boolean recurse) {
        this(null, true);
    }

    /**
     * Creates a new Trimmer object.
     *
     * @param mode    The transformer mode to use.
     * @param recurse Whether to recursively transform child IData documents and IData[] document lists.
     */
    public Trimmer(TransformerMode mode, boolean recurse) {
        this(mode, recurse, true, true, true);
    }

    /**
     * Creates a new Trimmer object.
     *
     * @param mode                  The transformer mode to use.
     * @param recurse               Whether to recursively transform child IData documents and IData[] document lists.
     * @param includeNulls          Whether null values should be included in transformed IData documents and IData[]
     *                              document lists.
     * @param includeEmptyDocuments Whether empty IData documents should be included in the transformation.
     * @param includeEmptyArrays    Whether empty arrays should be included in the transformation.
     */
    public Trimmer(TransformerMode mode, boolean recurse, boolean includeNulls, boolean includeEmptyDocuments, boolean includeEmptyArrays) {
        super(String.class, String.class, mode, recurse, includeNulls, includeEmptyDocuments, includeEmptyArrays);
    }

    /**
     * Transforms the given key.
     *
     * @param key   The key to be transformed.
     * @param value The value associated with the key being transformed.
     * @return      The transformed key.
     */
    @Override
    protected String transformKey(String key, Object value) {
        return key.trim();
    }

    /**
     * Transforms the given value.
     *
     * @param key   The key associated with the value being transformed.
     * @param value The value to be transformed.
     * @return      The transformed value.
     */
    @Override
    protected String transformValue(String key, String value) {
        return value.trim();
    }
}


Compliment the beauty of your primitive home decor by adding this Rusty Star plate as an accent piece. You will love this rustic brown and black plate with stars cut around the edge! It measures 6" in diameter and is perfect for adding to a shelf or hutch along with other coordinating country decor. Place this on your table along with one of your own pillar candles and a candle ring to create a beautiful centerpiece. We make it easy for you as you can also purchase this plate with one of our pillar candles already on it! Find other charming primitive home decor to design warm, welcoming rooms when you visit the home decor section here at the Quilt Shop.


text:
CREATE OR REPLACE VIEW public.vw_custom_requests_for_viewer AS
SELECT extracted_imagery.quad_id AS oid,
    lq.geom,
    products.product_date,
    products.product_type,
    wc.proj_wkt AS srs,
    lq.quad_id,
    c.aoi_id AS aoi,
    rtrim(custom_requests.request_id::text, '.zip'::text) AS request_id,
    custom_request_dates.custom_request_date,
    extracted_imagery.process_date
   FROM products,
    landsat_quads lq,
    extracted_imagery,
    wrs2_codes wc,
    custom_request_scenes c,
    custom_requests,
    custom_request_dates
  WHERE custom_request_dates.custom_request_date > ('now'::text::date - '45 days'::interval day) AND products.analysis_source::text = 'CR'::text AND products.input1::text = extracted_imagery.quad_scene::text AND extracted_imagery.quad_id::text = lq.quad_id::text AND lq.wrs2_code::text = wc.wrs2_code::text AND c.scene_id::text = extracted_imagery.scene_id::text AND custom_requests.aoi_id = c.aoi_id AND custom_request_dates.aoi_id = c.aoi_id AND custom_request_dates.custom_request_status_id = 4;
ALTER TABLE public.vw_custom_requests_for_viewer
  OWNER TO root;
GRANT ALL ON TABLE public.vw_custom_requests_for_viewer TO root;
GRANT SELECT ON TABLE public.vw_custom_requests_for_viewer TO readonly;
GRANT ALL ON TABLE public.vw_custom_requests_for_viewer TO dataonly;