1 sudden collapse of teeny tiny plate within that shifter thingy. (This did not effect the hunky hubby's driving abilities whatsoever and yet rendered 1 mom completely unable to shift into 4th gear) AAaaarg!
The rare opportunity to teach your child the meaning of the phrase "limited visibility", priceless.
Nothing to do on a Saturday, well now you know the solution.
What a day! When you put all the pieces together, it looks even worse that I thought it was. I did really enjoy my time with all of you and the other Grandkids and their Mama. Thank you for enduring all the trauma. It was an adventure and you made incredible memories, ones that your #1 & #2 sweet boys may even remember into their adulthood.


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Vic Joseph Recalls Throwing Up In Johnny Gargano's Car After Being 'Bullied' To Eat Too Much Cheese
Jeremy Lambert Dec 3, 2021 3:00PM
Vic Joseph loves cheese, but what happens when you eat too much cheese.
Vic thought he was having a normal day out with NXT legends Johnny Gargano, Candice LeRae, and Tommaso Ciampa, but things turned bad when he ate a little too much.
Appearing on Torg & Elliott, Joseph recalled the story of puking in Gargano's car after having too much cheese.
"I love cheese. I love string cheese, babybel round cheese. A very well-known story from Johnny Gargano is we went to a restaurant and it was myself, Gargano's wife Candice LeRae, Tommaso Ciampa, and Tommaso's wife Jessie. I was by myself at the time, it was about four years ago. We all had to order an appetizer, entree, and dessert, we all made a pact that we would eat everything on the table because they were doing their cheat meals. I ordered a wheel of brie. Who doesn't like cheese? They didn't like it and they bullied me into eating the entire wheel on top of the meal and a large milkshake. The final joke, as I'm walking out of Universal Studios, there is the tram that takes you across the bridge, I was throwing up over the rail onto the cars below me. Then I started throwing up in Johnny's car. He had the child locks on and I couldn't roll the windows down. He just brought a brand new car and I threw up all over the backseat. I haven't had brie since," he said.
Joseph noted that this story has become a legend in NXT and fans will offer him cheese as a rib.
Joseph will be on the call for NXT WarGames on Sunday. You can view the current lineup for the show by clicking here.
Matt Cardona Would Listen To WWE Offer To Return, Wouldn't Give Up His Podcast

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News: Research Spotlight
Research Spotlight: Tracing the Behavior of Cloud Applications
Homepage News, Research Spotlight
Consider the everyday websites and apps that we use: online shops, news websites, search engines, social networks, navigation apps, instant messaging apps, and many more. Most of these programs don't just run in isolation on our laptops or phones, but instead connect over the internet to backends and databases running in datacenters across the world. These backends perform a wide range of tasks, including constructing your personalized social network feed, storing and retrieving comments on message boards,
Consider the everyday websites and apps that we use: online shops, news websites, search engines, social networks, navigation apps, instant messaging apps, and many more. Most of these programs don't just run in isolation on our laptops or phones, but instead connect over the internet to backends and databases running in datacenters across the world. These backends perform a wide range of tasks, including constructing your personalized social network feed, storing and retrieving comments on message boards, and calculating results for your search query. From our perspective as users, the actions we perform are simple, such as opening the app and loading our personalized profile. But under the hood, each action usually results in complex processing across many processes and machines in a datacenter.
It has never been easier to write and deploy complex programs like these. Cloud computing companies who own datacenters (such as Google, Amazon, and Microsoft) will gladly rent out computer services at a touch of a button, on demand. Using designs like microservices, it is easy for programmers to construct complex programs out of smaller, simpler building blocks. There are frameworks and open-source software packages to help developers construct big applications out of small pieces, to spread those pieces out over multiple machines in a datacenter, and to have the pieces communicate and interact with each other over the network.
Problems show up when software goes live. Compared to developing and deploying the software, it is much harder to make sure everything goes smoothly when the software is up and running. Distributed computer programs have lots of moving pieces, and there are lots of opportunities for things to go wrong. For example, if one machine in the datacenter has a hardware problem, or the code is buggy, or too many people are trying to access it at once, the effects can be wide-ranging. It can create a butterfly effect of problems, which we term cascading failures, that can lead to the app or website as a whole becoming slow, or going down entirely. It's hard for programmers to get to the bottom of these kinds of problems, because there's no single machine or process doing all the work. A problem that occurs on one machine might manifest as strange symptoms on a different machine later on. Figuring out the root cause of a problem is challenging, as is anticipating problems in the first place. Even big internet companies like Facebook and Google experience problems like this today.
These kinds of problems motivate the research of the Cloud Software Systems Research Group at the Max Planck Institute for Software Systems. We research ways for operators to understand what's going on in their live distributed system, to troubleshoot problems when they occur at runtime, and to design systems that proactively avoid problems. One approach we take is to design distributed tracing tools that can be used by the system operators. The goal of distributed tracing is to record information about what a program does while it's running. The tools record events, metrics, and performance counters, which together expose the current state and performance of the system, and how it changes over time. A key additional step taken by distributed tracing tools is to record the causal ordering of events happening in the system — that is, the interactions and dependencies between machines and processes. Causal ordering is is very useful for diagnosing problems that span multiple processes and machines, especially when there might be lots of concurrent, unrelated activity going on at the same time. It lets us reconstruct the end-to-end execution paths of requests, across all components and machines, and then reason about the sequence of conditions and events that led up to a problem. Without causal ordering, this information is missing, and pinpointing the root cause of a problem would be like searching for a needle in a haystack.
The Cloud Software Systems Research Group has looked at a number of challenges in making distributed tracing tools efficient, scalable, and more widely deployable. In our recent work, we have thought about how you can efficiently insert instrumentation to record entirely new information, into an already-running system, without having to rebuild or restart the system [1]. We have looked at problems in dealing with the large volume of data generated by distributed tracing tools, and deciding which data is most valuable to keep if there's not enough room to keep it all [2]. We have also considered the implications of distributed tracing at extremely large scale, and how to efficiently collect, aggregate, and process tracing data in real-time [3].
In our ongoing work, we are investigating ways for the data recorded by tracing tools to feed back in to decisions made by datacenter infrastructure, such as resource management, scheduling, and load balancing. We are also considering new challenges that arise in scalable data analysis: how do you analyze large datasets of traces and derive insights about aggregate system behavior? One approach we are exploring uses techniques in representational machine learning, to transform richly annotated tracing data into a more tractable form for interactive analysis. More broadly, our group investigates a variety of approaches besides just distributed tracing tools, including ways to better design and develop the distributed systems in the first place. Ultimately, our goal is to make modern cloud systems easier to operate, understand, and diagnose.
[1] Jonathan Mace, Ryan Roelke, and Rodrigo Fonseca. Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems. In Proceedings of the 25th ACM Symposium on Operating Systems Principles (SOSP '15), 2015.
[2] Pedro Las-Casas, Jonathan Mace, Dorgival Guedes, and Rodrigo Fonseca. Weighted Sampling of Execution Traces: Capturing More Needles and Less Hay. In Proceedings of the 9th ACM Symposium on Cloud Computing (SoCC'18), 2018.
[3] Jonathan Kaldor, Jonathan Mace, Michał Bejda, Edison Gao, Wiktor Kuropatwa, Joe O'Neill, Kian Win Ong, Bill Schaller, Pingjia Shan, Brendan Viscomi, Vinod Venkataraman, Kaushik Veeraraghavan, Yee Jiun Song. Canopy: An End-to-End Performance Tracing And Analysis System. In Proceedings of the 26th ACM Symposium on Operating Systems Principles (SOSP '17), 2017.
Research Spotlight: A General Data Anonymity Measure
A long-standing problem both within research and in society generally is that of how to analyze data about people without risking the privacy of those people. There is an ever-growing amount of data about people: medical, financial, social, government, geo-location, etc. This data is very valuable in terms of better understanding ourselves. Unfortunately, analyzing the data in its raw form carries the risk of exposing private information about people.
The problem of how to analyze data while protecting privacy has been around for more than 40 years---ever since the first data processing systems were developed.
The problem of how to analyze data while protecting privacy has been around for more than 40 years---ever since the first data processing systems were developed. Most workable solutions are ad hoc: practitioners try things like removing personally identifying information (e.g. names and addresses), aggregating data, removing outlying data, and even swapping some data between individuals. This process can work reasonably well, but it is time-consuming, requires substantial expertise to get right, and invariably limits the accuracy of the analysis or the types of analysis that can be done.
A holy grail within computer science is to come up with an anonymization system that has formal guarantees of anonymity and provides good analytics. Most effort in this direction has focused on two ideas, K-anonymity and Differential Privacy. Both can provide strong anonymity, but except in rare cases neither can do so while still providing adequate analytics. As a result, common practice is still to use informal ad hoc techniques with weak anonymization, and to mitigate risk by for instance sharing data only with trusted partners.
The European Union has raised the stakes with the General Data Protection Regulation (GDPR). The GDPR has strict rules on how personal data may be used, and threatens large fines to organizations that do not follow the rules. However, GDPR says that if data is anonymous, then it is not considered personal and does not fall under the rules. Unfortunately, there are no precise guidelines on how to determine if data is anonymous or not. Member states are expected to come up with certification programs for anonymity, but do not know how to do so.
This is where we come in. Paul Francis' group, in research partnership with the startup Aircloak, has been developing an anonymizing technology called Diffix over the last five years. Diffix is an empirical, not a formal technology, and so the question remains "how anonymous is Diffix?" While it may not be possible to precisely answer that question, one way we try to answer that question is through a bounty program: we pay attackers who can demonstrate how to compromise anonymity in our system. Last year we ran the first (and still only) bounty program for anonymity. The program was successful in that some attacks were found, and in the process of designing defensive measures, Diffix has improved.
In order to run the bounty program, we naturally needed a measure of anonymity so that we could decide how much to pay attackers. We designed a measure based on how much confidence an attacker has in a prediction of an individual's data values, among other things. At some point, we realized that our measure applies not just to attacks on Diffix, but to any anonymization system. We also realized that our measure might be useful in the design of certification programs for anonymity.
We decided to develop a general score for anonymity, and to build tools that would allow anyone to apply the measure to any anonymization technology. The score is called the GDA Score, for General Data Anonymity Score.
The primary strength of the GDA Score is that it can be applied to any anonymization method, and therefore is apples-to-apples. The primary weakness is that it is based on empirical attacks (real attacks against real systems), and therefore the score is only as good as the attacks themselves. If there are unknown attacks on a system, then the score won't reflect this and may therefore make a system look more anonymous than it is.
Our hope is that over time enough attacks will be developed that we can have high confidence in the GDA Score. Towards that end, we've started the Open GDA Score Project. This is a community effort to provide software and databases in support of developing new attacks, and a repository where the scores can be viewed. We recently launched the project in the form of a website, www.gda-score.org, and some initial tools and simple attacks. We will continue to develop tools and new attacks, but our goal is to attract broad participation from the community.
For more information, visit www.gda-score.org.
Research Spotlight: Learning to interact with learning agents
Many real-world systems involve repeatedly making decisions under uncertainty—for instance, choosing one of the several products to recommend to a user in an online recommendation service, or dynamically allocating resources among available stock options in a financial market. Machine learning (ML) algorithms driving these systems typically operate under the assumption that they are interacting with static components, e.g., users' preferences are fixed, trading tools providing stock recommendations are static, and data distributions are stationary. This assumption is often violated in modern systems,
Many real-world systems involve repeatedly making decisions under uncertainty—for instance, choosing one of the several products to recommend to a user in an online recommendation service, or dynamically allocating resources among available stock options in a financial market. Machine learning (ML) algorithms driving these systems typically operate under the assumption that they are interacting with static components, e.g., users' preferences are fixed, trading tools providing stock recommendations are static, and data distributions are stationary. This assumption is often violated in modern systems, as these algorithms are increasingly interacting with and seeking information from learning agents including people, robots, and adaptive adversaries. Consequently, many well-studied ML frameworks and algorithmic techniques fail to provide desirable theoretical guarantees—for instance, algorithms might converge to a sub-optimal solution or fail arbitrarily bad in these settings.
Researchers at the Machine Teaching Group, MPI-SWS are designing novel ML algorithms that have to interact with agents that are adaptive or learning over time, especially in situations when the algorithm's decisions directly affect the state dynamics of these agents. In recent work [1], they have studied the above-mentioned problem in the context of two fundamental machine learning frameworks: (i) online learning using experts' advice and (ii) active learning using labeling oracles. In particular, they consider a setting where experts/oracles themselves are learning agents. For instance, active learning algorithms typically query labels from an oracle, e.g., a (possibly noisy) domain expert; however, in emerging crowd-powered systems, these experts are getting replaced by inexpert participants who could themselves be learning over time (e.g., volunteers in citizen science projects). They have shown that when these experts/oracles themselves are learning agents, well-studied algorithms (like the EXP3 algorithm) fail to converge to the optimal solution and can have arbitrarily bad performance for this new problem setting. Furthermore, they provide an impossibility result showing that without sharing any information across experts, it is impossible to achieve convergence guarantees. This calls for developing novel algorithms with practical ways of coordination between the central algorithm and learning agents to achieve desired guarantees.
Currently, researchers at the Machine Teaching Group are studying these challenges in the context of designing next-generation human-AI collaborative systems. As a concrete application setting, consider a car driving scenario where the goal is to develop an assistive AI agent to drive the car in an auto-pilot mode, but giving control back to the human driver in safety-critical situations. They study this setting by casting it as a multi-agent reinforcement learning problem. When the human agent has a stationary policy (i.e., the actions take by the human driver in different states/scenarios are fixed), it is trivial to learn an optimal policy for the AI agent that maximizes the overall performance of this collaborative system. However, in real-life settings where a human driver would adapt their behavior in response to the presence of an auto-pilot mode, they show that the problem of learning an optimal policy for the AI agent becomes computationally intractable. This work is one of the recent additions to an expanding set of results and algorithmic techniques developed by MPI-SWS researchers in the nascent area of Machine Teaching [2, 3].
[1] Adish Singla, Hamed Hassani, and Andreas Krause. Learning to Interact with Learning Agents. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), 2018.
[2] Xiaojin Zhu, Adish Singla, Sandra Zilles, and Anna N. Rafferty. An Overview of Machine Teaching. arXiv 1801.05927, 2018.
[3] Maya Cakmak, Anna N. Rafferty, Adish Singla, Xiaojin Zhu, and Sandra Zilles. Workshop on Teaching Machines, Robots, and Humans. NIPS 2017.
Research Spotlight: From Newton to Turing to cyber-physical systems
In 1937, a young Englishman by the name of Alan M. Turing published a paper with the obscure title "On computable numbers, with an application to the Entscheidungsproblem'' in the Proceedings of the London Mathematical Society. In doing so, he arguably laid the mathematical foundations of modern computer science. Turing's seminal contribution was to show that the famous Entscheidungsproblem, formulated by the great German mathematician David Hilbert several years earlier,
In 1937, a young Englishman by the name of Alan M. Turing published a paper with the obscure title "On computable numbers, with an application to the Entscheidungsproblem'' in the Proceedings of the London Mathematical Society. In doing so, he arguably laid the mathematical foundations of modern computer science. Turing's seminal contribution was to show that the famous Entscheidungsproblem, formulated by the great German mathematician David Hilbert several years earlier, could not be solved: more precisely, Turing proved (in modern parlance) that the problem of determining whether a given computer program halts could not be done algorithmically---in other words that the famous Halting Problem is undecidable.
Although seemingly at the time a rather esoteric concern, the Halting Problem (and related questions) have dramatically gained in importance and relevance in more contemporary times. Fast forward to the 21st Century: nowadays, it is widely acknowledged that enabling engineers, programmers, and researchers to automatically verify and certify the correctness of the computer systems that they design is one of the Grand Challenges of computer science. In increasingly many instances, it is absolutely critical that the software governing various aspects of our daily lives (such as that running on an aircraft controller, for example) behave exactly as intended, lest catastrophic consequences ensue.
What classes of infinite-state programs can be analyzed algorithmically?
Researchers at the Foundations of Algorithmic Verification group are investigating what classes of infinite-state programs can, at least in principle, be fully handled and analyzed algorithmically by viewing computer programs abstractly as dynamical systems, and they seek to design exact algorithms enabling one to fully analyse the behaviour of such systems. In particular, they are presently tackling a range of central algorithmic problems from verification, synthesis, performance, and control for linear dynamical systems, drawing among others on tools from number theory, Diophantine geometry, and algebraic geometry, with the overarching goal of offering a systematic exact computational treatment of various important classes of dynamical systems and other fundamental models used in mathematics, computer science, and the quantitative sciences. Some of their achievements include several decidability and hardness results for linear recurrence sequences, which can be used to model simple loops in computer programs, answering a number of longstanding open questions in the mathematics and computer science literature.
In a series of recent papers [1, 2], they have attacked the so-called Zero Problem for linear differential equations, i.e., the question of determining algorithmically whether the unique solution to a given linear differential equation has a zero or not. Such equations, which go back as far as Newton, are ubiquitous in mathematics, physics, and engineering; they are also particularly useful to model cyber-physical systems, i.e., digital systems that evolve in and interact with a continuous environment. In their work, they obtained several important partial results: if one is interested in the existence of a zero over a bounded time interval, then it is possible to determine this algorithmically, provided that a certain hypothesis from the mathematical field of number theory, known as Schanuel's Conjecture, is true. They were also able to partially account for the fact that the Zero Problem has hitherto remained open in full generality: indeed, if one were able to solve it in dimension 9 (or higher), then in turn this would enable one to solve various longstanding hard open problems from a field of mathematics known as Diophantine approximation. In doing so, they therefore exhibited surprising and unexpected connections between the modelling and analysis of cyber-physical systems and seemingly completely unrelated deep mathematical theories dealing with questions about whole numbers.
[1] Ventsislav Chonev, Joel Ouaknine, and James Worrell. On recurrent reachability for continuous linear dynamical systems. In Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 2016.
[2] Ventsislav Chonev, Joel Ouaknine, and James Worrell. On the Skolem Problem for continuous linear dynamical systems. In Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming (ICALP), 2016.
Research Spotlight: Teaching machine learning algorithms to be fair
Machine learning algorithms are increasingly being used to automate decision making in several domains such as hiring, lending and crime-risk prediction. These algorithms have shown significant promise in leveraging large or "big" training datasets to achieve high prediction accuracy, sometimes surpassing even human accuracy.
Unfortunately, some recent investigations have shown that machine learning algorithms can also lead to unfair outcomes. For example, a recent ProPublica study found that COMPAS,
Unfortunately, some recent investigations have shown that machine learning algorithms can also lead to unfair outcomes. For example, a recent ProPublica study found that COMPAS, a tool used in US courtrooms for assisting judges with crime risk prediction, was unfair towards black defendants. In fact, several studies from governments, regulatory authorities, researchers as well as civil rights groups have raised concerns about machine learning potentially acting as a tool for perpetuating existing unfair practices in society, and worse, introducing new kinds of unfairness in prediction tasks. As a consequence, a flurry of recent research has focused on defining and implementing appropriate computational notions of fairness for machine learning algorithms.
Parity-based fairness
Existing computational notions of fairness in the machine learning literature are largely inspired by the concept of discrimination in social sciences and law. These notions require the decision outcomes to ensure parity (i.e. equality) in treatment and in impact.
Notions based on parity in treatment require that the decision algorithm should not take into account the sensitive feature information (e.g., gender, race) of a user. Notions based on parity in impact require that the decision algorithm should give beneficial decision outcomes (e.g., granting a loan) to similar percentages of people from all sensitive feature groups (e.g., men, women).
However, in many cases, these existing notions are too stringent and can lead to unexpected side effects. For example, ensuring parity has been shown to lead to significant reductions in prediction accuracy. Parity may also lead to scenarios where none of the groups involved in decision making (e.g., neither men nor women) get beneficial outcomes. In other words, these scenarios might be preferred neither by the decision maker using the algorithm (due to diminished accuracy), nor by the groups involved (due to very little benefits).
User preferences and fairness
In recent work, to appear at NIPS 2017, researchers at MPI-SWS have introduced two new computational notions of algorithmic fairness: preferred treatment and preferred impact. These notions are inspired by ideas related to envy-freeness and bargaining problem in economics and game theory. Preferred treatment and preferred impact leverage these ideas to build more accurate solutions that are preferable for both the decision maker and the user groups.
The new notion of preferred treatment allows basing the decisions on sensitive feature information (thereby relaxing the parity treatment criterion) as long as the decision outcomes do not lead to envy. That is, each group of users prefers their own group membership over other groups and does not feel that presenting itself to the algorithm as another group would have led to better outcomes for the group.
The new notion of preferred impact allows differences in beneficial outcome rates for different groups (thereby relaxing the parity impact criterion) as long as all the groups get more beneficial outcomes than what they would have received under the parity impact criterion.
In their work, MPI-SWS researchers have developed a technique to ensure machine learning algorithms satisfy preferred treatment and / or preferred impact. They also tested their technique by designing crime-predicting machine-learning algorithms that satisfy the above-mentioned notions. In their experiments, they show that preference-based fairness notions can provide significant gains in overall decision-making accuracy as compared to parity-based fairness, while simultaneously increasing the beneficial outcomes for the groups involved.
This work is one of the most recent additions to an expanding set of techniques developed by MPI-SWS researchers to enable fairness, accountability and interpretability of machine learning algorithms.
Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna Gummadi and Adrian Weller. From Parity to Preference: Learning with Cost-effective Notions of Fairness. Neural Information Processing Systems (NIPS), Long Beach (CA, USA), December 2017


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Q: ShowHelp in dual-monitor I wonder how I can open help on the second monitor.
I'm using Help.ShowHelp(null, path, TopicId, index)
thanks

A: You can't modify the ShowHelp-Methode to show up on a second screen. If you need more control over there to show the help you have to implement it by yourself. The only possible solution I can think of would be to get the help window via its process id and reposition it with the user32.dll, but it's not a very neat solution.
[DllImport("user32.dll")]
private static extern bool SetWindowPos(IntPtr hWnd, IntPtr hAfter, int x, int y, int cx, int cy, int flags);

redpajama_set_name: RedPajamaStackExchange


Known as the "Toe of the Boot", the Calabria region sits on the bottom of the Italian Peninsula and is surrounded by the Tyrrhenian and Ionian Sea. It is separated from Sicily by the Strait of Messina by a mere 2 miles. The region has three mountain regions: Pollino, La Sila and Aspromonte. Each of the three regions has its own unique flora and fauna. This region is separated by Pollino, where the mountains continue to head east into La Sila and taper off at Aspromonte. Many different cultures of the Mediterranean have settled in the Calabrian region including the Normans and the Byzantines along with Albanians after the Turkish invasion. In many towns in Calabria including Consentino, Albanian is the most common language.
On the terraces of Aspromonte, you'll find the largest citrons on the planet that are about the size of grapefruits. If you're looking for freshness, Calabria has the second-most organic farmers in all of Italy behind Sicily. If you like olive oil, Calabria produces the second most in the country and nearly 30% of all its trees are olives. Although their lands may appear to be plentiful, Calabrians are considered resourceful in terms of their food and how their cuisine evolved. With the constant threat of marine invasion and mountainous terrain, it made agriculture very difficult in terms of what type of crops can exist. Like most Italian regions, bread is a very common staple at the dinner table and can be seen in recipes for pitta which is a flatbread that is stuffed with tomatoes, peppers and herbs. Although there are many sheepherders in the region, more pork is consumed by the locals. Typical meats are Prosciutto, Pancetta DOP, Salsiccia DOP, Soppressata DOP, Capocollo di Calabria DOP and Nduja which consists of sausage stuffed with sweet and spicy peppers. If you're looking for the taste of the ocean, Swordfish is the most common fish served on special occasions and usually marinated with lemon, butter, onions and fava beans. Dessert is usually comprised of something that is licorice based in nature. Calabrians have been using this produce since the 1700's as an after-meal aid for digestion and to ward off colds. If you're looking to wine down a bit with some Calabrian wines, look for Greco, Nicastro or Ciro' are all indigenous to the region. They are intense, full-bodied wines that pair nicely with the local flavor.
Keep a look out for the newest line of Flora meats and cheeses that all hail from the wonderful region of Calabria. Our Calabrese Olives are a gem from the region as well!


Big budget cuts have led to a major change in how Leicestershire Police looks after the Harborough district.
Among the changes from February 9 are that Harborough will lose its dedicated Inspector, and the nearest emergency response team will be based at Keyham Lane in Leicester, 19.2 miles away.
A Conservative district councillor in Harborough has said: "I think it's a gamble".
And a Liberal Democrat councillor added: "This must be a source of deep concern".
But the Inspector of the newly-formed Eastern Counties Neighbourhood Policing Unit – which takes in 173,000 people over 563 square miles of Melton, Rutland and Harborough districts – has robustly defended the changes.
And Harborough's MP Sir Edward Garnier added: "I can understand the perception that Harborough might now be getting an inferior service.
What do you think? Email us your views.
The transformation of the county's police force has been prompted by serious budget cuts.
In the past four years, the force has seen £20m taken from its budget. This latest re-organisation is in response to a further £10m reduction.
Conservative district councillor Bill Liqourish, who is chairman of the Community Safety Partnership in Harborough, which meets regularly with the emergency services, admitted frankly that he had concerns.
"Yes, I realise Leicestershire Police have got to make cuts," he said. "But of course I'm concerned.
"The 999 calls are going to be dealt with from a hub in Leicester – they say they can respond quite quickly, but that's a concern for me too.
"We have got assurances from [Chief Constable] Simon Cole that he feels they have got this re-organisation right.
The Liberal Democrat leader on Harborough District Council, Phil Knowles, said: "This must be a source of deep concern as to the level of policing in Harborough.
Insp Cordiner mounted a strong defence of the re-organisation.
She said plenty of police resources will remain in Harborough, that beat officers will actually have more time to deal with local concerns and that "we will continue to provide a good service after the February 9".
She added that a new Chief Inspector in the force control room will ensure resources were distributed pro-actively across the region.
And in some areas, the service for Harborough will improve, she said.
New dedicated Neighbourhood Teams will focus exclusively on public protection, community engagement, patrol and anti-social behaviour.
The Harborough district will still have two dedicated Neighbourhood Sergeants, six dedicated Neighbourhood Officers and 14 Police Community Support Officers.
And officers will still be based at Harborough Police Station in Leicester Road.
She said she understood these changes make people anxious, but strongly disagreed that Leicestershire Police were taking a gamble.
"I genuinely believe we have made sure these sweeping changes are not detrimental to the service that Harborough people will receive," she said.


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Argentina v Bosnia preview: Messi to finally cement his place among the greatest?
15th June 2014, 3:09 pm
Argentina's Lionel Messi
On paper Argentina should walk Group F, which includes World Cup newcomers Bosnia and the relatively mediocre Iran and Nigeria.
La Albiceleste get their campaign underway against the World Cup debutants in Brazil in the day's late kick off, and you can listen to the game live on talkSPORT in the UK.
Star man: Not many prizes for guessing who this one is. Lionel Messi is undoubtedly the shining light of this Argentine side, but despite his years of club success and reputation as the world's greatest footballer, he has yet to light up the grandest stage of them all in the way compatriot Diego Maradona did. Only one goal in three tournaments is testament to this, but if he finally puts his stamp on a World Cup, Argentina will undoubtedly go far in Brazil.
What's the story? The Argies are overdue a good World Cup having failed to make it beyond the quarter-finals since Italia 90, when they finished as runners-up, and they are hotly tipped as one of this year's favourites. Alejandro Sabella's side come into the World Cup off the back of an impressive qualification campaign, where they went 14 games unbeaten and Messi bagged ten goals, but there were occasional blips, such as a first ever defeat to Venezuela. With such a wealth of attacking talent and the World Cup close to home, anything but an appearance in at least the semi-finals will be considered failure.
Fact: Argentina do not boast a good World Cup record against European sides, only winning two out of their last nine games against teams from that continent, drawing four and losing three.
Star man: Edin Dzeko is the focal point of Bosnia's attack and understandably so after such a fine season where he scored 16 goals in 31 Premier League games to help Manchester City secure the title. At international level, the 28-year-old is his country's go-to man and he scored ten times in qualifying – the second highest in European qualification behind Robin van Persie.
What's the story? They might be the World Cup's only debutants but such is their attacking power, Bosnia are expected to make the second round in Brazil, behind heavyweights Argentina. Roma star and Manchester United target Miralem Pjanic is another star while in goal is the familiar face of Stoke's Asmir Begovic. In qualifying Safet Susic's side progressed as group leaders, ahead of Greece on goal difference following a victory against Luthania in their final match.
Fact: Bosnia suffered plenty of qualification hurt before finally qualifying for their first major tournament. In 2004 they needed victory against Denmark to qualify for the European Championships, but could only muster a draw at home, while they also suffered play-off heartbreak twice to Portugal in 2010 and 2012.


We stock only genuine spare parts for Shakespeare products.
Shakespeare Salmon rods have always received excellent reviews and are well used by beginners and gillies alike. Spey casting takes its toll on rods (and the occasional accidental mishap may occur!) luckily we have a good selection of sections from the latest Oracle Scandi back to the original Oracles.
Their Fly and Spinning rods are as popular as ever too. We are fortunate enough to have spare sections available for the various models of these extensive ranges.
Shakespeare is well known for its huge range of coarse angling equipment and as such we stock replacement rod sections and quiver tips going back several years.
The Shakespeare range of sea tackle has always been great value for money.
We have a huge selection of rod sections - Agility, Sigma, Salt, Ugly Stik to name but a few!
We also stock Shakespeare beach rest and Alvey Bait pump parts.


Julie was a wonderful real estate agent! She is very knowledgeable and knows the area well. She was very quick to respond to any questions or concerns we had. She made the home buying process easy! I would definitely recommend her to anyone moving to the Emerald coast!


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Ford SmartGauge LCD Instrument Panel Brings Futuristic Look, Green Leaves To 2010 Hybrids
Ben Wojdyla
UPDATE: We got a first-hand look at the new SmartGauge — here's our a video of the gauge in use! Ford's making no small secret of their upcoming 2010 Ford Fusion Hybrid and 2010 Mercury Milan Hybrid (not the just-revealed 2010 Ford Fusion), but it may be the stellar high-tech SmartGauge LCD instrument panels feature that makes these cars stand out in the crowd. Billed as a way for drivers to maximize fuel economy, SmartGauge with "EcoGuide" uses an all-digital, LCD screen instrument cluster with lively animations to prompt drivers on good driving habits by displaying a heavily stylized greenery for good behavior. The gauges can be customized to display whatever real time data the driver wishes to see. Shades of the 80's era digital dashes aside, this looks impossibly nifty and we can't wait to take a closer look later today. Hit the jump for the press release and the cool video of the screen changing and updating before your very eyes.
FORD'S SmartGauge with EcoGuide Coaches Drivers to MAXIMIZE FUEL EFFICIENCY On New FUSION Hybrid DEARBORN, Mich., Oct. 29, 2008 – Pushing a vehicle to the limit takes on a new meaning in the new 2010 Ford Fusion and Mercury Milan hybrids, thanks to Ford's SmartGauge with EcoGuide – an innovative new instrument cluster that provides real-time information to help drivers maximum fuel efficiency. "SmartGauge with EcoGuide gives the customer real-world feedback to make the most of their hybrids," said Gil Portalatin, Hybrid Applications Manager. "Unique to Ford and Mercury hybrid sedans, this instrument cluster acts as a good 'coach,' engaging drivers real-time to help them achieve maximum fuel economy." Ford collaborated with IDEO and Smart Design, two world leaders in helping consumers connect with technology, to develop the instrument cluster. Job One was properly integrating the driver with the cluster's science and technology. "The main question hybrid drivers had was, 'How do I know I'm getting the most out of my hybrid?' " said Jeff Greenberg, Ford senior technical leader. "We needed to create a system that better communicates with drivers and gives them the tools to maximize fuel efficiency. That's what SmartGauge with EcoGuide does." The driver is immediately engaged by the SmartGauge displays, on either side of the center-mounted analog speedometer, with a special greeting that combines illumination and graphics. EcoGuide then uses a multi-layered approach to coach the driver to maximum fuel efficiency. A tutorial mode built into the display that helps the driver learn about the instrument cluster and the hybrid in a whimsical way that does not overpower. For instance, drivers can choose one of four data screens to choose the information level displayed during their drives. They are: Inform: Fuel level and battery charge status Enlighten: Adds electric vehicle mode indicator and tachometer Engage: Adds engine output power and battery output power Empower: Adds power to wheels, engine pull-up threshold and accessory power consumption All levels can show instant fuel economy, fuel economy history, odometer, engine coolant temperature, what gear the car is in and trip data (trip fuel economy, time-elapsed fuel economy and miles to empty). The engine coolant temperature indicator turns green when engine conditions are warm enough to allow engine pull-down. At the core of the instrument cluster's design was an understanding that the Hybrid Electric Vehicle (HEV) experience evolves and deepens over time and the technology needed to reflect that. The four levels of information can be customized to fit each driver's needs or situation. If cruising on the highway, for instance, only basic information may be desired. Once a driver moves off the highway into a city, additional information to optimize fuel economy may be desired and can be easily accessed. Long-term fuel efficiency can be displayed in two ways – either as a traditional chart or using an innovative display that shows "growing leaves and vines" on the right side of the cluster. The more efficient a customer is, the more lush and beautiful the leaves and vines, creating a visual reward for the driver's efforts. Additionally, the real-time system feedback allows drivers to assess or modify their driving habits to achieve maximum fuel economy. A shutdown screen reviews important information from the latest trip, including fuel economy performance and comparative data from previous days. Extensive customer research was completed to ensure the instrument cluster is as driver-friendly as possible. Prototype testing was done in Ford's Virtual Text Track Experiment (VIRTTEX) simulator, the industry's largest driver distraction laboratory operated by an automaker. Test drivers were able to safely interact with the new technology as engineers gathered data and helped refine SmartGauge, aiding drivers in making informed decisions without being distracting or overwhelming. "When you're driving, you have a second or so to look at your display," Greenberg said. "A dense display isn't going to work. SmartGauge with EcoGuide is designed to minimize distraction caused by multiple displays. We did a lot of work to eliminate extraneous movement and create a smooth, fluid display." The instantaneous fuel economy gauge, for example, can be shown or hidden at each of the EcoGuide levels to suit the needs of individual drivers. "We did a lot of research and modified our designs along the way to make SmartGauge with EcoGuide unobtrusive, using subtle cues to relay information," Greenberg said. The brainstorming sessions with the IDEO team proved invaluable. "We received more than 100 ideas about information to display – that was our input to our studies with VIRTTEX," he added. "In VIRTTEX, for example, we learned that you can't overlay multiple levels of information. One of our design goals then became to geographically separate the information so it can be better understood while driving." Four Hybrids The Ford Fusion and Mercury Milan hybrids join the already successful Ford Escape and Mercury Mariner hybrids – the most fuel-efficient SUVs on the planet. With the addition of the two new hybrid sedans, Ford will double its annual hybrid volume and be the largest domestic producer of full hybrid vehicles in North America. The Fusion and Milan Hybrids will be built at Ford's Hermosillo (Mexico) Stamping and Assembly Plant and a will arrive in dealer showrooms in the first quarter of 2009. # # # About Ford Motor Company Ford Motor Company, a global automotive industry leader based in Dearborn, Mich., manufactures or distributes automobiles across six continents. With about 229,000 employees and about 90 plants worldwide, the company's core and affiliated automotive brands include Ford, Lincoln, Mercury, Volvo and Mazda. The company provides financial services through Ford Motor Credit Company. For more information regarding Ford's products, please visit www.ford.com.


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MWL steht als Abkürzung für:

 Muslim World League, siehe Islamische Weltliga

mwl steht für:
 Sprachcode von Mirandés, eine romanische Sprache in Portugal

Abkürzung

redpajama_set_name: RedPajamaWikipedia


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Organ trafficking increasing
By Kim Tae-jong
"Everything has been screwed up. My last hope is to sell my kidney or liver. So please call me if you're interested," a message reads with a cell phone number attached on a website.
Such desperate pleas for human organ trafficking are often seen on the Internet, especially community sites of patients with liver or kidney failure, although human organ trafficking and related activities including posting such messages are illegal.
A 35-year-old man from Incheon, surnamed Lee, is one of those who decided to sell his kidney to repay part of his debts, after suffering from financial difficulties for years.
"My online shopping mall business went bankrupt three years ago, leaving me massive amounts of debt," he said, adding the sale of his organ was the only way to earn a substantial sum of money at one time.
Recent statistics show there are increasing reports of such illegal messages on the Internet by people like Lee, which means human organ trafficking cases are steadily on the increase.
According to Centers for Disease Control and Prevention (CDCP) and Rep. Lee Nak-yeon of the main opposition Democratic Party, there were 357 reports on human organ trafficking messages on the Web as of June, which already outnumbered last year's 174.
Ironically, the number of criminals arrested on charges of organ trafficking has decreased sharply, recording only one as of June this year, down from three in 2010, nine in 2009, 18 in 2008 and 71 in 2007.
"That's so disappointing," Yang Jae-won, a secretary to the lawmaker, said. "It's obvious that the police have no will to crack down on illegal organ traffickers."
The police don't recognize the seriousness of the issue as they don't have any statistics or data regarding the crime, Yang said.
"After they came under fire for the lack of any outcome, they started to crack down on illegal activities and arrested 20 traffickers in the past two months, and asked us to take it into consideration. This just shows how lame they are on the issue of prevalent human organ trafficking."
Under the current law, people can only donate their organs without receiving any financial compensation, and those who illegally remove or transplant other people's organs or introduce such practices can face a prison sentence of over two years and those who illegally have their organs removed can face a prison sentence of less than 10 years.
Illegal organ trafficking is increasing as the rate of organ donation in the country is significantly lower than in Western nations.
According to the CDCP, there are over 20,000 patients in the country waiting for organs as of August, but there have been only 2,500 transplants this year.
"The number of people on the list has been on increase due to the lack of donors," an official from CDCP said.
Consequently, there have been increasing demands for human organs for transplantation, which traffickers take advantage of. They advertise human organ trafficking via Internet instant messaging services, online forums and blogs.
e3dward@koreatimes.co.kr More articles by this reporter


ATB-Market (part of Corporation ATB) is the largest, fastest growing network in Ukraine.
Agrotekhbiznes company laid the foundation of ATB discounter chain in 1993. In 2000s ATB network was the first that introduced a new self-service system in discounter format in Ukraine. Discounters are the stores with a wide variety of goods at wholesale prices. Considering convenient location and high quality products this format corresponds the best to Ukrainian consumers.
So today millions of people have appreciated the advantages of ATB discounter chain. According to market research it is the largest retail network in Ukraine with more than 750 stores in more than 202 cities in 16 regions of Ukraine. During 21 year ATB has been known as stores where you can buy qualitative goods and also save the family budget. Every day more than 2 million Ukrainians visit and buy food and goods in ATB. During the past 5 years ATB has shown the highest rate of growth. In 2014 the turnover of ATB retail chain amounted to 46 billion 670 million UAH (Including VAT).
The assortment of stores is over 3500 items including more than 800 items of ATB private labels goods. By minimizing the cost of logistics and advertising the price of private label goods is lower than average but the quality meets well-known brands.
Success and high growth for more than 20 years is ensured by a friendly team. Professionalism, commitment to development, compliance with corporate standards and a high level of responsibility of each employee makes it possible to achieve our mission – to provide the population of Ukraine with the products of high quality at minimum prices and ensure the goods quality by implementing high technologies and ethical conduct of retail business.


01.07 poem-wise I've been down the rabbit-hole for several years. few poems, no linked posting, sharing only local, personal, hand-to-hand. even while I've been away I still thought I'm a better me when I write! so much for how smart I am not. so by happy accident I came to ground on this "poets REVIVAL 2018" and I want to move again. this blog is specifically in support of Revival work. while I have two other blogs, this here is where the new work and commentary is happening.
so here's my intent – post to this blog at least once each week. starting now. two things that I'll take by Donna's word. one, this blog will have the elbow room for anything writing related. anything. talk about writing (lots I suspect), or maybe like a journal/notebook/scrapbook/prompts, maybe even poem drafts, (including desperate calls for good-sense), what I'm reading, etc. anything. two, I vow to TRY posting every week (see Donna, see "TRY"). process includes consistency. but no plan about being productive poem-wise.
easy for me talking "about" some-thing. but about is not the thing. entertaining maybe, distractive maybe, but it is not real. by that measure, neither am I.
(relates) recently read or heard (I forget) and my memory is keeping it close. What we want in life is actually not to "understand meaning". What we want is to-be-alive. alive. I was gonna say "feel" alive, but that makes it one more step away. and that's where I commonly hang my hat, about rather than being. small confession: I've spent more of my life about meaning than being alive. there's a difference. big.
I'm happy letting go cleverness 'cause mostly I'm not. and it does not satisfy. maybe what and how I see has less to say about meaning than simply what-is. I'll find something in that for how I sense being here. the same will likely be a different thread for you. maybe a poem can make threads easier to see. you think?
impressions. nobody explains, walking out the door, what you see. what you see is what you see, except when it isn't. it speaks for itself, or it doesn't. why then might when thinking to write, you think to say, think that you should, that you will fail if you don't – spell out all the details, or mostly meanings we mean. say the meaning of butterfly. example too easy? what about that sidewalk concrete modern fossil image of a leaf? is it enough to observe? to taste, to breath beneath the light of day or Moon.
have you ever written to the story of music? I'm much fond of doing that with images or whole movies. but music, that's shaky ground. not meaning as a drug-like-induced vehicle to go somewherelse inside your head, but just directly, like a river would be. following the shape yet no meaning implied. this rhythm I have not yet let myself hear. maybe a composer can?
THINGS REACT WHEN YOU TOUCH THEM.
standing on the balcony ten feet above the dirt. so, an open window lets the outside in and the inside out. Harmony.
can a poem be real, genuine? can it let go being "about" and just be what it says? otherwise, why.
(balcony) woman walks close, dog on leash. I think about what to say. instead, say hello. she too. is hello enough? can I deliver that intimately? honestly? after all I gotta lift my leg somewhere. keep your balance.
what you give I will accept. big words, except. what you give I do accept. big difference, huh! and I've always thought of it the first way, "will" meaning not-yet, not-now. maybe you notice my added-noun, you, in all my forms of phrase. not fair, but wait, as I was gonna say because I like being-with-someone-else, and that sees it just that way. but does that exclude me from all the splendid universe? what changes if I say, what I give I do receive!
(balcony) half-a-block-away someone sings. ears say where, eyes say everywhere that is not.
(balcony) a pontoon plane flies from north to south beneath my afternoon cloudy sky. prepare for a water landing.
(head, interior) oh, an image I'd sooner not say, is a slowly sinking ship with lifeboats now in the sea. so smart says while holding-fast on memory, consider boarding a bobbing lifeboat so near the waves, better done than said. find a better boat. set sail. I can always eat fish. even raw.
does that all relate? it does for me. in weeks to be I'd like to look more closely, find anything of value into poems and writing and everything.
you are welcome to subscribe. the link is on the menu page (top left icon). (more then too, when I can.) and of course, comments too, your whatevers to my anythings. I write. you choose. as it always is.


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Jim Rickards Tells CNBC's Joe Kernen Gold Is Going To $5,000
Ealier today Jim Rickards of Omnis, formerly LTCM's GC, was on CNBC and was subjected to some "probing" questions by Joe Kernen in which the anchor asks Rickards if he is a "conspiracy theorist" for his recent insights into the potential investigation of JP Morgan's market rigging behavior by the DOJ. Rickards replies that he isn't, and follows it up with some gold price target observations based on "8th grade math": the former LTCM man sees gold going up by at least 10 times, and hitting $5,000 rather easily. We wonder if to CNBC there is any uglier word than "conspiracy theory" even when the "theory" is backed 100% by facts. (more)
Weekly Financial Report, May 7, 2010
click here to listen to audio
MUST HEAR: Panic And Loathing From The S&P 500 Pits
Business Week - May, 10 2010
FREE magazine download click here
The IMF Destroys Iceland and Latvia
The International Monetary Fund operates primarily as a banker bailout machine. They cajole and tempt and confuse and threaten the leaders of governments worldwide to pay off the failed bets of the big bankers using the taxpayer funds of their countries. This has been going on a long time, at least since the early 1980s.
Thus, I am not in the teeniest bit surprised that the same thing is happening today in Iceland and Latvia. (more)
The Economist - May 8th - May 14th 2010
The Global Economic Crisis, The Great Depression of the XXI Century
In all major regions of the world, the economic recession is deep-seated, resulting in mass unemployment, the collapse of state social programs and the impoverishment of millions of people. The economic crisis is accompanied by a worldwide process of militarization, a "war without borders" led by the United States of America and its NATO allies. The conduct of the Pentagon's "long war" is intimately related to the restructuring of the global economy.
We are not dealing with a narrowly defined economic crisis or recession. The global financial architecture sustains strategic and national security objectives. In turn, the U.S.-NATO military agenda serves to endorse a powerful business elite which relentlessly overshadows and undermines the functions of civilian government. (more)
BNN: Marc Faber May 7, 2010
US Unemployment Now 9.9%
The first positive, if dubious, print on employment in 2½ years came in from the Bureau of Labor Statistics (BLS) this morning. The highlights…
290,000 jobs added last month -- 231,000 of them in the private sector
U-3 unemployment rose from 9.7% to 9.9%
The U-6 figure, including the underemployed, rose from 16.9% to 17.1%
The average workweek grew from 34.0 hours to 34.1
So why the rise in the unemployment rate?
The Labor Department games that number to exclude "discouraged workers" who've given up looking for work. Even U-6 excludes discouraged workers who gave up more than a year ago. As some of those people regain confidence and begin looking for work again, the labor pool gets deeper.
Oh, irony… the quants' statistical sleight of hand is coming back to bite them, yet again.
Still, there are a number of positive take-aways…
Census hiring accounts for only one in five of the new jobs added last month
Even accounting for the Census, we've added substantially more jobs than the 100,000 needed just to keep pace with population growth. That hasn't happened since November 2007
Of course, that's assuming the numbers haven't been gamed in other ways. Heh. We'll find out next month when the revision gets filed away in some dusty backroom of 2 Massachusetts Ave. NE in Washington. Agora Financial
Flight to Safety
So who are the beneficiaries when stocks perform the sort of high-diving act they did yesterday? Just what you'd expect…
Remember all that talk about the 10-year Treasury yield breaching 4%? That was so last month. This morning, the benchmark note sports a yield of 3.43%. A 30-year fixed mortgage can be had for almost 5% again.
The dollar index, for its part, is just a breath away from 85, near Panic of '08 highs.
Greg Palast Tells How The IMF Set-Up Iceland & Greece on Alex Jones Tv
Jim Rickards Tells CNBC's Joe Kernen Gold Is Going...
MUST HEAR: Panic And Loathing From The S&P 500 Pit...
The Global Economic Crisis, The Great Depression o...
Greg Palast Tells How The IMF Set-Up Iceland & Gre...


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AirPods Max Reveal A Brilliant Secret, But Don't Try This At Home
Are JLab's Affordable New Earbuds An Alternative To Apple AirPods Pro?
AirPods Max Showing Serious New Issue, Some Users Say
This Brilliant Photoshop Alternative Is Free For 90 Days
PS5 Issue With Samsung TVs Should Be Fixed In March
The One High Tech Job That Will Never Go Away
Disinformation Propelled By Social Media And Conspiracy Theories Led To Insurrection
Glovo Seals €100 Million Partnership To Expand 'Dark Stores' Business
Google's Secret Sound School That Could Change The Way You Listen To Music Forever
Shareholders Fear Facebook, Other Social Media Ads May Inadvertently Fund Hate Speech, Violence
T-Mobile, Fortnite, Instagram, Comcast, And Chase Bank Have All Experienced Outages. Some Believe The U.S. Has Been Hit By Large-Scale DDoS Attack—Others Are Skeptical. (Updated)
Jesse DamianiContributor
I cover the human side of VR/AR, Blockchain, AI, Startups, & Media.
" DDOS ATTACK " and Alert icon on display of computer for management server in data server room
Sudden and wide-ranging outages in online and telecommunication services in the U.S. has led some to believe it is the result of a coordinated attack.
NOTE: June 16 update regarding T-Mobile's admission of the outage is at the bottom of this story.
On June 15, a flurry of reports on a number of different services in the U.S. have indicated that the country may be experiencing a coordinated DDoS, or "distributed denial of service" attack. These attacks are malicious attempts to disrupt or shut down targeted servers by overwhelming them with traffic from multiple sources.
According to outage aggregator Downdetector, users reported outages in major mobile carriers (T-Mobile, Metro, Verizon, AT&T, Sprint, Consumer Cellular, US Cellular), Internet providers (Spectrum, Comcast, CenturyLink, Cox), social media platforms (Facebook, Instagram, Twitter, Snapchat, Twitter), games and game services (Fortnite, Roblox, Call of Duty, Steam, Xbox Live, Playstation Network), streaming services (Netflix, Hulu, HBO Now, Twitch), banks (Chase Bank, Bank of America), delivery services (Doordash), and other major platforms like Google and Zoom.
Of yet, the would-be source of these attacks is still unknown. @YourAnonCentral, a popular Anonymous twitter account, speculates that it, "may be China as the situation between South and North Korea is currently deteriorating."
Serious Warning Issued For Apple AirPods Max Users
Apple's Massive iPhone 13 Upgrade Suddenly Confirmed
Forget Your iPhone 12 Pro Max, Ignore Samsung's Galaxy S20 Fan Edition And Google's Pixel 4a, This Is My Smartphone Of 2020
The same Twitter account cites the Digital Attack Map, which tracks the "top daily DDOS attacks worldwide" and offers a visualization of these attacks, but some, like cybersecurity expert Marcus Hutchins, claim that the map is "badly plotted" and does not currently "indicate an attack against the US."
All major carriers are listed on Downdetector, but Verizon claims its problems are being artificially represented through attempts to connect to T-Mobile.
"Verizon's network is performing well," a Verizon spokesperson told DCD. "We're aware that another carrier is having network issues. Calls to and from that carrier may receive an error message. We understand Downdetector is falsely reporting Verizon network issues."
MORE FROM FORBESTikTok's Format Offers A Loophole For Branded Content DisclosuresBy Jesse Damiani
T-Mobile President of Technology Neville Ray has been providing updates on the situation, but four hours after his original post, the company was still working to resolve the issues for all users.
According to AT&T corporate communications, the network is "operating normally," citing the possibility that problems may be arising as users try to connect to "other carriers' networks."
MORE FROM FORBESInstacart Surges Past Walmart In Online Grocery MarketBy Jesse Damiani
UPDATE 5:00 am EDT:
Forbes Senior Contributor Davey Winder has reported that the outages did in fact stem from T-Mobile, and there is no current evidence of a coordinated cyberattack. In a statement issued at 11:45pm EDT, T-Mobile CEO Mike Sievert wrote, "Starting just after 12 pm ET and continuing throughout the day, T-Mobile has been experiencing a voice and text issue that has intermittently impacted customers in markets across the U.S.... This is an IP traffic related issue that has created significant capacity issues in the network core throughout the day."
At 1:03am EDT June 16, Sievert updated the statement to say that the issue had been resolved.
Follow me on Twitter or LinkedIn. Check out my website or some of my other work here.
Jesse Damiani
Jesse is a writer, curator, producer, entrepreneur, and public figure in emerging technology. He is Director of Emerging Technology & Insight at Southern New Hampshire
Jesse is a writer, curator, producer, entrepreneur, and public figure in emerging technology. He is Director of Emerging Technology & Insight at Southern New Hampshire University, Curator & Director of Simulation Literacies at Nxt Museum, and Editor-at-Large of VRScout. He is Founder and Series Editor of Best American Experimental Writing, and Founder and CEO of Galatea, a screenwriting and project management tool for VR and AR stories. He covers technology, art, and media, with work in Adweek, Billboard, Entrepreneur, IndieWire, HuffPost, Quartz, The Verge, and WIRED; and syndication in CBS News, CJR, The New Digital Storytelling textbook, and REDEF. He was listed as a top global VR influencer in 2017 by Onalytica, was interviewed as an expert source in the AP guide for immersive journalism, and runs "Immersive Writers & Storytellers" and "Blockchain XR." He has served as a mentor in the YouTube VR Creator Lab and worked with Google in their initiative to develop educational content for the VR/AR industry as Curriculum Writer/Editor and on-camera instructor on their "VR and 360 Video Production" and "Introduction to Augmented Reality and ARCore" courses. A regular speaker and host, he has appeared at conferences, shows, and events such as SXSW, Cheddar, and the School of the New York Times. He hosts TECH TOCK, a talk show in Microsoft's SocialVR platform, AltspaceVR. He was the Curator/Producer for the XR art exhibition, SPATIAL REALITY, at sp[a]ce gallery; Co-Curator of VIRTUAL FUTURES with LACMA for LA Art Show; and Co-Curator of SIM-CINEMA with FLOAT and Wevr. He also curates The Tech Zone at DesignerCon and XR For Change, the XR summit at Games For Change.


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Oshkosh area's top 10 prep performers
Here are the top 10 prep performers in the Oshkosh area from the past week.
Oshkosh area's top 10 prep performers Here are the top 10 prep performers in the Oshkosh area from the past week. Check out this story on thenorthwestern.com: http://oshko.sh/2BhyxAU
Derek Kroll (42) of Oshkosh West keeps his eye on the basket as he gets ready to shoot. The Oshkosh West Wildcats hosted the Marshfield Tigers in a non-conference game Friday evening, November 24, 2017.(Photo: Oshkosh Northwestern, Jim Koepnick/USA TODAY NETWORK -)Buy Photo
Here are the top 10 prep performers in the Oshkosh area from the past week:
PERFORMER OF THE WEEK
Derek Kroll, sr., Oshkosh West
Kroll poured in a career-high 39 points against Milwaukee Riverside on Saturday, going 3-for-3 from 3-point range and draining all six of his free throws to help spark an 84-65 victory. The senior also grabbed six rebounds. He also chipped in 12 points in the Wildcats' win over Marshfield on Friday night.
Quincy Anderson, sr., Oshkosh North: Anderson hit six 3-pointers and posted a career-high 36 points as the Spartans opened the season with an easy win over Marshfield on Saturday.
Justin Bartol, sr., Berlin: Bartol opened the season with a 30-point game leading the Indians to a win over Wautoma.
Kaitlyn Frierdich, jr., Winneconne: Frierdich finished with 12 points and six rebounds to help the Wolves get off to a 2-0 start with a win over New London.
Evan Gitter, jr., Omro: Gitter led the Foxes with 19 points and picked up six rebounds as Omro topped Campbellsport in its season opener.
Austin Langeberg, sr., Omro: Langeberg posted a double-double with 12 points and 10 rebounds in a win over Campbellsport.
Olivia Lewis, sr., Ripon: Lewis scored a team-high 14 points as the Tigers came up short against Winnebago Lutheran.
Callista Rochon-Baker, soph., Oshkosh West: Rochon-Baker scored 20 points as the Wildcats lost a heartbreaker to Kettle Moraine on Saturday.
Wesley Schiek, sr., Oshkosh North: Schiek drained six 3-pointers and finished with 21 points in his Spartans debut against Marshfield on Saturday night.
Karter Thomas, soph., Oshkosh West: Thomas scored 35 points in two games in his first two varsity starts as the Wildcats won both games over the weekend. He also picked up 10 rebounds and nine assists.