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NASA dishes out $270 million to speed U.S. return to orbit after space shuttle retirement
By John Matson on April 18, 2011
The space shuttle program has just two launches remaining on the calendar, one April 29 and one in June. After that, no one knows what the next U.S.-based rocket to take astronauts to orbit will look like, when it will launch, or who will have built it. But all indications are that the rocket won't be NASA's—the space agency is hoping private firms will soon be capable of safely ferrying U.S. astronauts to and from orbit.
A few frontrunners to take that role emerged April 18, with the announcement that NASA is awarding four companies a combined $270 million to develop manned spaceflight systems for use after the space shuttle is retired.
Blue Origin will receive $22 million to develop vehicle designs and test engines and an escape system; Boeing will get $92.3 million to develop its CST-100 crew capsule; Sierra Nevada Corp. will receive $80 million to pursue its Dream Chaser spacecraft; and SpaceX will get $75 million to continue work on its rockets and capsules and to develop technologies such as a launch-abort system. The companies will be expected to provide their own funds as well, albeit on a smaller scale than the NASA contributions, to develop their technologies.
NASA received 22 proposals for funds, said Philip McAlister, NASA's acting director for Commercial Spaceflight Development, in an April 18 teleconference with reporters. He said the goal was to select "a portfolio of approaches" that might return NASA astronauts to flight soon, without foreign assistance. (After the space shuttle retires, NASA will rely on Russia to deliver U.S. astronauts to orbit until a successor is ready.)
"We are trying to make an American-made system that will get our astronauts to low Earth orbit," said Edward Mango, program manager for the Commercial Crew Program at Kennedy Space Center in Florida. He said that the NASA-fueled development of commercial space companies should cut short the interlude during which Russian rockets will be the only route to space.
McAlister implied that the U.S. spaceflight gap may be as short as a few years. "We are targeting the middle part of this decade to have services available," he said.
Artist's conception of the Sierra Nevada Dream Chaser: Sierra Nevada Corp.
John Matson is a former reporter and editor for Scientific American who has written extensively about astronomy and physics.
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By Larry Greenemeier on April 19, 2011


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Tag Archive for: Hungry
Aid, Global Poverty, Hunger, Mobile Technology
Three Apps That Feed the Hungry
Nowadays people can do almost anything with a smartphone: order groceries, plan a vacation or pay for mass transit. There are even apps that feed the hungry around the world. About one in nine people do not have enough to eat, but the following smartphone apps are changing that, one meal at a time.
Here are three apps that feed the hungry:
Chowberry
Nigerian entrepreneur Oscar Ekponimo developed this mobile app to put discounted, expiring food in the hands of people who desperately need it. The organization currently operates in four locations in recession-stricken Nigeria, with the help of 20 supermarket partners. Here is how it works: Families on tight budgets sign up for a free account; they search for products set to expire in as little as a week to more than a few months. Users choose whatever cereals, grains, drinks, cans and packaged goods they want. Then they pay online and pick up their goods at participating stores. Some products are as much as 70% off original prices, which makes it easier for impoverished people to feed themselves and their families. Exact numbers of the app's impact are unavailable at this point, as the site has yet to go public. But, in a three-month pilot, the company had 3,000 daily hits.
Pocket Rice
With this free mobile app, users earn virtual grains of rice each time they answer a trivia question correctly. The virtual rice accumulates like a point system. But unlike regular trivia games, Pocket Rice's points become a valuable food source for people in need. When users "donate" their earned rice, co-founder James Downing buys real rice. In-app advertising pays for the rice, so users can play trivia while helping solve world hunger — all for free. The rice goes to targeted areas through the company's partners, agencies like the United Nations World Food Programme, World Vision and now The Lasallian Foundation. According to in-app text, Pocket Rice's current project focuses on children in Sri Lanka. The goal is to reduce child mortality and increase babies' birth weights. Trivia users have earned more than 324 million grains of rice and fed 16,000 people since Pocket Rice's start in 2013. Users of the app allowed Downing to purchase around 3,500 pounds of rice in 2016 alone.
Share the Meal
The World Food Programme spearheaded Share the Meal, which lets any smartphone owner feed a child with spare change. People all over the world can download the app for free and start saving lives with donations as small as 50 cents. More than just throwing money at a cause, the app has a tool that lets people track their donations. Users can choose where they want to share a meal, learn about the children the Programme helps and follow their donation's impact. Users have provided for more than 14 million meals since Share the Meal's launch in 2015. The meals feed school children and refugees in places such as Haiti, Yemen and Lebanon.
Whether it is the invention of the telegram or the use of cell phone apps, technology has always made the world seem smaller. Today, three apps that feed the hungry are continuing that tradition. Chowberry is bridging the gap between Nigerians in need and retailers willing to help, Pocket Rice is turning phone users' love of trivia into life-saving food and Share the Meal is making it easy for charitable people to feed children around the world.
– Kristen Reesor
https://borgenproject.org/wp-content/uploads/logo.jpg 0 0 Borgen Project https://borgenproject.org/wp-content/uploads/logo.jpg Borgen Project2017-07-25 01:30:452020-06-23 07:06:09Three Apps That Feed the Hungry

redpajama_set_name: RedPajamaCommonCrawl


News of an incoming competitor pushed shares lower in early trading.
What: Shares of Retrophin (NASDAQ:RTRX), a small-cap biopharmaceutical company focused primarily on treating rare diseases, were down by as much as 10% as of 11:00 a.m. EST Wednesday after news broke that there is could be new competition on the horizon for one of its key drugs. The shares have since bounced back.
So what: Compounding pharmaceutical company Imprimis Pharmaceuticals announced on Wednesday it will be offering a delayed release formulation that will compete directly with Retrophin's Thiola, a drug used to treat cystinuria. Imprimis's CEO said the the aim of the introduction is to give patients a lower cost therapeutic alternative. The formulations is expected to be available in April.
Imprimis' is able to bring this product to market quickly because it is a compounding pharmacy. Unlike drug manufactures that have to go through the FDA approval process when they want to introduce new drugs, compounding pharmacies bypass that step by customizing pre-approved drug compounds for individual patient use.
Imprimis Pharmaceuticals CEO Mark Baum stated "All we're doing is offering competition to those drugs that the FDA under oath has said publicly will not have generic competition."
Now what: Cystinuria is a chronic, rare disease that affects roughly 10,000 Americans and is chronic disease that causes patient's bodies to turn amino acid into stones primarily in the kidney, ureter, and bladder. Retrophin's Thiola helps to prevent the formation of the stones and around half the patients with the disease in the U.S. are currently candidates using the drug.
Thiola has an interesting history as it wasn't a home grown compound created by Retrophin. Instead it was acquired in 2014 while none other than Martin Shkreli was still in charge. After getting a hold of the drug Shkreli immediately raised the price of Thiola 2,000%, causing some patients with cystinuria to suddenly be facing therapy costs of up to $100,000 per year.
Shkreli's has since been throw out of the top seat at Retrophin and the company went so far as to sue him for $65 million, but it has not lowered the price of the Thiola at all.
It's unclear what kind of financial impact this move could have on Retrophin's financials if patients and providers do opt to use the compounded version of Thiola in 2016.
Martin Shkreli -- "The Most Hated Man in America" -- Is in Handcuffs. Here's Why.


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What Does it Mean to Serve the Common Good in an Age of Moral Relativism?
Aine Donovan, Director of the Dartmouth Ethics Institute, Research Associate Professor
John Milton and Sex in Paradise
Thomas Luxon, Professor of English
The Power of Language
John A. Rassias, William R. Kenan Professor of French and Italian, Emeritus
The Dead Sea Scrolls in Their Geographic and Religious Contexts
Susan Ackerman '80, Preston H. Kelsey Professor of Religion, Professor of Women's and Gender Studies, Professor of Jewish Studies
A Literary Look at Love in 18th-Century France


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Review: The Hypnotist by M.J. Rose
I find it tough to review thrillers because, frankly, there often isn't much beyond an enticing, exciting plot to review. Thrillers tell fast-moving stories in which the hero/heroine is caught up in events that throw his or her life out of control. The trick for the thriller writer is to make the protagonist interesting and compelling enough to follow through the story–without hampering the action. Character development is often less crucial to the story than setting and plot development. I should probably say what I'm about to say more than once so I'm not misunderstood: This isn't a criticism of thrillers. I enjoy thrillers just as I enjoy traditional mysteries and the occasional sex-soaked erotic novel. A novel doesn't have to be a National Book Award winner to be a good read.
When I was offered the opportunity to review The Hypnotist, M.J. Rose's genre-blend of a thriller, I accepted it immediately. Rose honed her writing skills through a long line of popular erotic thrillers before publishing The Reincarnationist–a Dan Brown-style thriller with plenty of historical content–in 2007. I should note here that I only got ten pages into the DaVinci Code before throwing it against the wall. The plot, I hear, is brilliant, but I couldn't get past the amateurish prose. (Didn't see the film, either.) There's nothing amateurish about Rose's prose, and one of its most compelling qualities is its thorough character development.
The Hypnotist opens with a flashback–always a risky proposition, but one that works here–of a young Lucian Glass discovering that his girlfriend, Solange Jacobs, has been brutally attacked in her father's art gallery during a robbery. Twenty years later, in the novel's present action, Glass is forced to relive the trauma of Solange's death when the Matisse painting that was stolen in the robbery shows up–in tatters–at New York's Metropolitan Museum of Art. While Glass's emotional journey is at the heart of The Hypnotist, the plot is driven by the mystery surrounding an ancient Chrystelephantine sculpture of Hypnos, the Greek god of sleep. Hypnos is not only a valuable piece of art and culture, but may be one of the keys to a coveted set of Memory Tools–objects which ostensibly give a person access to their past lives. The custody battle between the museum, which claims ownership of the sculpture, and the Iranian government turns deadly when the Iranians decide that their best chance to acquire it is by terrorist means. Perhaps I've made the plot sound simple. It is not. Rose also covers an enormous amount of territory here–including the past-life regressions of both Lucian and a young girl named Veronica. Their stories are critical to the novel's violent, extensive denouement.
Rose is masterful at character creation, and the extensive cast of characters in The Hypnotist is one of the novel's greatest strengths. Unlike many lesser thriller authors, Rose creates characters whose personalities are able to drive a novel's action forward. In The Hypnotist, I was particularly drawn to Ali Samimi, an Iranian heavily involved in the not-so-legal plot to acquire Hypnos; he strains at and then slowly destroys the bonds securing him to his Iranian bosses. Samimi is one of those characters who looks much like an ancillary character, but creates decisive movement in the story. I wanted more of this man whose primary goal in life is "to find a way to stay in America." Samimi's every action is precisely aimed at that goal, resulting in some satisfyingly surprising plot developments. Somewhat less compelling is Emeline, who becomes Lucian Glass's love interest. Glass is intensely attracted to her, but he's not sure if it's because of who she is, or who she might be–the reincarnation of Solange. So many of Emeline's mannerisms and actions are like Solange's that her very existence plunges Glass into a constant state of emotional chaos. For reasons that become obvious near the end of the novel, Rose keeps much of Emeline's character hidden from the reader, but that didn't keep me from wanting to know more about her early in the novel.
From the ancient Middle East to the Metropolitan Museum of Art to Vienna and Los Angeles, Rose rarely lets the action rest. The story makes enormous jumps in the time it takes to turn a page. Distractible readers might find the many threads tough to follow, and with some four hundred pages to work with, Rose is able to take her time weaving those threads together. I confess that even I was initially a tad overwhelmed by The Hypnotist's sprawling plot. The story of how Hypnos arrived at the Metropolitan Museum of Art is a complicated one, and the history of the search for the Memory Tools is similarly complex. But the histories–though fabricated–are thorough. Rose has done her homework. My guess is that most readers who pick up such a hefty book will be not only ready for The Hypnotist's complexity, but will be grateful for it. There are plenty of plot surprises here. Some are even flat-out jaw-dropping, and delightfully over-the-top.
One of the staples of a high-profile thriller like The Hypnotist is a guarantee of beautiful people in beautiful places. What could be more glamorous than precious art, or the mysterious reincarnation of a lovely young woman? Lucian Glass is handsome, the child, Veronica, is bright and charming, the old men are authentically craggy. Much of the action takes place in the august Metropolitan Museum of Art, in the plush confines of the Iranians' "opulent" New York mission, or in the elegant rooms of a gargoyle-trimmed mansion. Even the dusty cavern where Hypnos begins its centuries-long journey has an exotic patina.
The Hypnotist is the third novel in The Reincarnationist series. It's often difficult to immerse oneself in a new series novel when one hasn't read previous installments in the series, but The Hypnotist–after a few slender reminders that the major players are Dr. Malachai Samuels of the Phoenix Foundation, which attempts to explore past-life regression through its hypnosis work with children, F.B.I agent Lucian Glass of the Art Crime Team, and the list of ancient Memory Tools that everyone seems to want–functions well as a standalone thriller.
Not to be sexist, but I think it's fair to say that the internationally-themed thriller business is dominated by men. It's refreshing to see Rose's work get the publishing exposure it deserves. Above, I referred to The Hypnotist as a genre-blend thriller. But maybe that's not a fair description. Perhaps The Hypnotist shouldn't be described as any sort of thriller…perhaps it's just a good book.
You can visit M.J. Rose at her website, or check out The Hypnotist here.
One thought on "Review: The Hypnotist by M.J. Rose"
hypnocuro says:
This was one of the books, that maybe last year I would have loved. This year though, I've read so many grat books that I loved, this one was just average.master hypnotist


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2018 Distinguished Investigators
The Academy for Radiology & Biomedical Imaging Research is pleased to announce that 42 researchers have been selected to receive the Academy's 2018 Distinguished Investigator Award. This prestigious honor recognizes individuals for their accomplishments in the field of medical imaging. Please join us in congratulating the following individuals:
Academy Full List of Distinguished Investigators
LINK TO 2018 AWARD CEREMONY PHOTOS
Sam Achilefu, PhD, Washington University, St. Louis
Dr. Achilefu is renowned for his pioneering work on near infrared fluorescent (NIR) molecular imaging of cancer and other diseases in small animals and human patients. He was the first investigator to demonstrate the use of peptide-based cancer-targeted NIR molecular probes for whole-body imaging of cancer in mice. He also discovered a new molecule that synergistically interacts and reports the functional status of tumors. Dr. Achilefu also conceived and developed a novel wearable gogglebased imaging system for guiding surgical removal of tumors by instantly displaying fluorescent light from cancer cells in the wearable eyepiece. Recently, he discovered a novel theranostic approach that uses radiopharmaceuticals to image cancer and stimulate photosensitizers for cancer therapy.
Tammie Benzinger, MD, PhD, Washington University, St. Louis
Dr. Benzinger's research career has been related to advanced imaging. Her work on amyloid structure remains one of the most highly cited manuscripts in the field. During radiology residency she shifted focus to advanced MRI which resulted in her publication in Neurolmage in 2011 which demonstrated that advanced MR diffusion analyses could distinguish demyelination from axonal injury. Her 2013 publication in PNAS, demonstrated regional pathological trajectories for amyloid accumulation, brain atrophy, and hypometabolism in autosomal dominant Alzheimer disease, which is extended with longitudinal data, currently in press at Lancet Neurology.
Gregory Chang, MD, New York University
Dr. Chang has been the sole principal investigator of three NIH grants (two R01, one K23) totaling nearly $6 million. His research focuses on the clinical translation of advanced, quantitative magnetic resonance imaging (MRI) and image processing methods (7T, micro-MRI, topological and finite element analyses) to permit earlier diagnosis and treatment of musculoskeletal disease. Three recent publications in Radiology provide evidence for the clinical value and cost-effectiveness of these advanced methods with regards to improving clinicians' ability to accurately diagnose and manage osteoporosis, which affects 10 million Americans.
Christine Chung, MD, University of California, San Diego
Dr. Christine Chung's research activities are primarily focused on the noninvasive characterization of musculoskeletal tissue with MR imaging, establishing MR biomarkers for tissue structure and function. Her research has resulted in the development and implementation of MR pulse sequences that offer contrast mechanisms that optimize morphologic and quantitative evaluation of musculoskeletal tissues. She has a career publication record of 189 peer reviewed works, with landmark publications for her MR biomarkers research in specialty journals such as the Journal of Magnetic Resonance Imaging and Radiology.
Jeremy Dahl, PhD, Stanford University
Dr. Dahl has contributed important scientific and technical developments in the field of ultrasound imaging. He is most notable for his co-development of coherence beamforming to improve image quality in difficult-to-image patients. He has contributed important analyses of noise sources in ultrasound imaging; specifically, elucidating the roles of aberration and reverberation on image quality, which was awarded the 2011 Outstanding Paper Award by the IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society. He is also a key contributor to the clinical translation of shear wave technology through the development of parallel tracking.
Edgar De Yoe, PhD, MS, Medical College of Wisconsin
Dr. DeYoe has been a leader and major contributor to the field of brain imaging and visual neuroscience beginning with his seminal 1985 Nature paper revealing a new level of functional organization in visual cortex that subsequently led to a major revision in our understanding of brain connectivity. He extended this early work in monkeys to humans through pioneering efforts to develop and apply functional magnetic resonance imaging (fMRI) to the study of the neurophysiological basis of vision. He then adapted this approach to the study of visual spatial attention which for the first time made it possible to objectively and quantitatively study wholly mental phenomena in humans. Extending and refining this approach over the ensuing years led to the creation of computerized computational models that permit the detailed prediction of brain activity patterns evoked by sensory stimulation and the concomitant, ever-present, effects of volitionally controlled attention. Moreover, this seminal academic research resulted in the spin-off of imaging algorithms and software that have been translated into clinical applications for guiding brain surgery and diagnosing brain related vision pathologies via products offered by Prism Clinical Imaging, Inc.
Manus Donahue, PhD, Vanderbilt University Medical Center
Dr. Donahue is a leader in the development and applications of advanced MRI imaging methods for deriving quantitative physiological information about brain function, including non-invasive measurements of brain blood flow, oxygenation, cerebrovascular reserve metabolism and neural activity. He has developed translational applications of imaging biomarkers in several clinical disorders, including vascular diseases, sickle cell disease, stroke and Alzheimer's disease. More recently he has also pioneered the development of MRI studies of lymphatic disorders using quantitative measurements of lymph flow and sodium imaging. His techniques have been adopted in several clinical applications as standard-of-care methods in the USA and internationally.
Tim Duong, PhD, Stonybrook University School of Medicine
Dr. Duong's translational research programs focus on the development and application of novel MRI methods in animals and humans to improve health. Dr. Duong has contributed to the better understanding the spatial specificity and signal sources of fMRI methods to map brain function, novel imaging methods to detect retinal diseases in the early stages, prior to the onset of clinical symptoms, and longitudinally monitor disease progression and treatment responses, and novel imaging methods to detect stroke early, distinguish salvageable versus non-salvageable tissue, longitudinally monitor ischemic progression and treatment responses. His research has the potential to improve treatment outcomes and quality of life.
Raul Estépar, PhD, MSc, Brigham and Women's Hospital
Dr. San Jose Estepar academic career has revolved around the development of computational imaging techniques for a wide range of applications. He started his career developing technologies for the reconstruction of 3D ultrasound from freehand approaches that enable image-guided applications like ones that are routinely performed in our AMIGO suite. After working in the field of diffusion tensor imaging and imaged-guided laparoscopic and endoscopic interventions, he has established an imaging program for the phenotyping of chronic obstructive pulmonary disease (COPD). His laboratory is part of multiple large studies of COPD, and he has developed novel biomarkers. In particular, he has pioneered the use of non-contrast CT images for phenotyping pulmonary vascular disease (PVD). More recently, he has focused on the harmonization of CT scans for multicenter studies. These techniques may unleash the use of imaging as a surrogate end-point in clinical and pharmaceutical trials.
Sanjiv Gambhir, MD, PhD, Stanford University
Most recently over the last 10 years, Dr. Gambhir and his lab has been developing novel nanotechnologies as well as strategies for early cancer detection that are based on numerous technologies including Raman optical and photoacoustic molecular imaging. They have also started to integrate mathematical modeling into studying cancer biology so as to inform the needed experiments and use the experiments to improve the models. These approaches are also being translated for clinical applications of early cancer detection and hold significant promise for future cost-effective management of cancer patients.
Thomas Grabowski, MD, University of Washington
Dr. Grabowski's research has focused on functional and structural imaging investigations of memory and language in clinical populations. His work has contributed to the understanding of the neural basis of lexical retrieval, including the seminal discovery that the retrieval of words for concrete entities engages different sectors of the left extrasylvian temporal lobe. He applies advanced fMRI and diffusion MRI approaches to identify preclinical biomarkers of neurodegenerative disease including Alzheimer's, Parkinson's, and latent disease detection. His group has contributed to advances in analyzing time-varying functional connectivity, which has emerged as an important fMRI approach to cortical systems.
Eric Hoffman, PhD, University of Iowa
Dr. Hoffman's early work established volumetric, quantitative computed tomography (QCT) for the assessment of normal lung structure-to-function relationships and promoted translation of methodologies to the sub-phenotyping of obstructive lung disease. Hoffman has directed Radiology Centers for many NIH-sponsored COPD and Asthma-related multi-center studies, standardizing imaging and image analysis protocols. Quantitative characterizations of the lung have identified numerous important genetic and environmental-based links to COPD. Dynamic CT to assess parenchymal perfusion has demonstrated that emphysema susceptibility may relate to the inability to maintain perfusion in the presence of inflammation. Dual-energy CT has demonstrated a restoration of perfusion with sildenafil.
Moonsoo Jin, MS, Scd, Weill Cornell University
Dr. Moonsoo's earlier work has focused on developing biomolecules for therapy and imaging applications. This was demonstrated by engineering of high affinity variants of native proteins, which was found to be a potent antagonist to T cell adherence to and subsequent migration through endothelial cells. His recent work has focused on applying molecular engineering to program T cells for cancer therapy. This was achieved by introducing chimeric antigen receptors or other cell signaling pathways to T cells. I developed SSTR2 as an imaging reporter for T cells for specific and sensitive imaging of adoptively transferred T cells.
Joel Karp, PhD, University of Pennsylvania
Dr. Karp's research spans the range from basic laboratory research to development of innovative PET systems that have continually advanced imaging performance over the last 35 years. This work has resulted in development of key concepts now commonly incorporated into commercial systems for human and animal imaging. Most notably, Dr. Karp has been a leader in research to develop concepts for fully 3D PET systems, technology for time-of-flight (TOF) imaging, and development of methods to quantify the clinical impact of TOF imaging and image generation methods.
Daniel Kim, PhD, MS, Northwestern University
Dr. Kim is a biomedical engineer with a broad background in cardiovascular MRI. Building upon active collaboration with cardiology and radiology colleagues, he seeks to break new grounds in cardiovascular MRI by developing innovative pulse sequences to address unmet needs in cardiovascular medicine. Dr. Kim's research spans a continuum and follows a natural progression from pulse sequence development to validation to clinical translation. The three key publications which highlight his work include arrhythmia-insensitive-rapid (AIR) cardiac T1 mapping for assessment of diffuse myocardial fibrosis in patients with atrial fibrillation, wideband cardiac T1 mapping for assessment of myocardial fibrosis in patients with an implantable defibrillator, and rapid real-time cine MRI with compressed sensing for assessment of cardiac function in patients with arrhythmia.
Sungheon Kim, PhD, New York University
Development of quantitative MRI methods for assessment of tumor treatment response is the main focus of Dr. Kim's research. He and his group have shown that diffusion MRI can be used to predict treatment response and to measure tissue microscopic cellular properties using its diffusion-time dependency. Their previous work also demonstrated the importance of considering tumor cellular properties, such as transcytolemmal water exchange, when measuring the vascular property of tumor. In breast cancer, Dr. Kim and his group have shown that the MRI-measured vascular and cellular properties can be used to quantify the effect of female hormones on the fibro glandular tissue and development of cancer.
Paul Kinahan, PhD, MA(Sc), University of Washington
Dr. Kinahan's research has focused on the development and use of positron emission tomography (PET) and x-ray Computer Tomography (CT). He was part of the group that developed the first PET/CT scanner prototype. He developed the first methods for CT-based attenuation correction of PET data. Related projects were the development of accelerated image reconstruction methods adopted by industry. Other contributions were the development of attenuation compensation methods for data confounded by high-z materials, such as bone or implants or from respiratory motion. A related area has been implementing PET/CT into clinical trials requiring quantitative imaging.
Patrick LaRiviere, PhD, University of Chicago
Dr. La Riviere is a research-oriented biomedical physicist with a background in inverse problems and a strong interest in emerging imaging modalities. He has developed novel approaches to sinogram restoration and spectral CT data processing that have influenced clinical practice. In X-ray fluorescence tomography, he has pioneered new imaging geometries for this emerging imaging modality that could allow for its deployment in preclinical imaging.
Weili Lin, PhD, MS, University of North Carolina, Chapel Hill
Longitudinally imaging healthy children starting from birth, Lin lab has uncovered brain functional and structural development in early infancy. A primitive and incomplete default mode network (DMN) is present in 2-week-olds, followed by a rapid maturation in year 1. By two-years-old, DMN becomes similar to that observed in adults. His team further investigated temporal development of language development and reported that language lateralization starts at 2-year-old. Finally, a novel approach to reveal brain oxygen metabolism using MRI was developed by Dr. Lin, which has been demonstrated effective in the management of acute stroke patients.
Yvonne Lui, PhD, New York University
Dr. Lui is a neuroimaging expert leading a federally-funded, translational research team at the forefront of discovering the biological underpinnings of traumatic brain injury using MRI. Her contribution comprises some of the seminal works in the field: to understand tissue microstructure, metabolism, and functional alterations after concussion. Yvonne also seeks to better understand the complex relationships between brain structure and function which lie at the core of human experience. Recent works describe tissue microstructure and working memory and offer a novel casting of an advanced fMRI model of brain causal architecture as a special form of a recurrent neural network.
Vincent Magnotta, PhD, MS, University of Iowa
Dr. Magnotta has made significant contributions to the study of psychiatric and neurological disorders using MRI. His work has included the development of novel tools for the analysis of brain morphology and used extensively to study a number of disorders. Recently his work has focused on the development of T1rho imaging to study metabolic changes related to brain function. He has shown that functional T1rho is independent of the blood flow response and responds faster than blood flow changes. Finally, he has shown that the coupling of blood flow and metabolism is altered in panic and bipolar disorder.
David Mankoff, MD, PhD, University of Pennsylvania
Dr. Mankoff's research spans the range of basic, translational, and clinical research, emphasizing translational cancer imaging research. He has had essentially continuous NIH funding as PI since his appointment as a junior faculty member at the University of Washington in 1996, including current NIH/NCI R01 and an R33 Cancer Moonshot grants. Dr. Mankoff has many areas of focus and research leadership, and representative key publications, include developing new molecular imaging methods, translating new approaches to early human trials, and directing multi-center clinical trials of novel imaging methods.
Graeme Mason, PhD, Yale University
Dr. Mason is a leader in the kinetic analysis of MRS and MRSI measurements with 13C isotopic labeling and applications to psychiatric disorders. Through development of quantitative hypothesis driven metabolic models, he has major contributions to the use of 13C MRS/MRSI to uniquely image cell specific oxidative metabolism (glutamatergic neurons, GABAergic neurons, and astroglia), and rates of glutamate /GABA neurotransmitter cycling. His metabolic models are used in13C MRS studies of patients and preclinical models worldwide. He has personally applied them to make important findings on metabolic factors in alcohol abuse and neuropsychiatric disorders.
Feroze Mohamed, PhD, MS, Thomas Jefferson University
During the last two decades Dr. Mohamed have been working on developing quantitative functional neuroimaging biomarkers to study the brain and the spinal cord (SC). Specifically, in the last several years he has been researching developing diffusion imaging methods to study the SC in children. His lab has been testing new methods to accurately measure the diffusion parameters in the SCI using novel pulse sequences such as inner-FOV DTI, to improve its reliability and repeatability. Dr. Mohamed continues furthering this work in developing neuroimaging biomarkers for accurate detection and quantification of SC diseases.
Kathryn Morton, MD, University of Utah
Dr. Kathryn Morton, a Professor of Radiology at the University of Utah Department of Radiology and Imaging Sciences has a 30 plus year history of significant contributions to the field of molecular imaging research. Her current research and NIH funding focus on the molecular imaging of pulmonary and neurologic consequences of sepsis in a rat model.
Rajesh Narendran, MD, MBBS, University of Pittsburgh Medical Center
Dr. Narendran's early work demonstrated greater vulnerability for dopamine D2/3 agonist as compared to D2/3 antagonist binding, to endogenous competition by the agonist dopamine. This finding continuously guides the field's quest for the development of agonist PET radiotracers as superior tools to study neurochemical transmission in the living brain. First to demonstrate in vivo [11 C]PHNO has relatively high D3 receptor specific binding compared to the other D2/3 radiotracers. This finding led to use of [11 C]PHNO to measure D3 receptors in neuropsychiatric disorders. His work with [11C]FLB 457- amphetamine paved the way to measure prefrontal cortical dopamine in health and disease.
Mizuki Nishino, MD, MPH, Brigham and Women's Hospital
Supported by NIH grants as PI since 2011, Dr. Nishino contributed to define the role of imaging as a marker for precision oncology, focusing on lung cancer and immunotherapy. She defined the impact of revised RECIST guidelines in lung cancer treated with targeted therapy and characterized tumor volume dynamics to guide treatment decisions. She applied her expertise in cancer immunotherapy and led the efforts to establish the current strategy of immune-related response evaluations in oncology. She also contributed to radiographic profiling of toxicities due to novel cancer therapy and pioneered the investigations of drug-related pneumonitis in immunotherapy.
Ramasamy Paulmurugan, PhD, MsC, Stanford University
Dr. Paulmurugan has developed a novel split-reporter complementation system to study protein-protein interactions and protein-folding in vivo, which is currently been used by several laboratories for screening drugs that modulate protein function, including anticancer drugs targeting mutant-p53 by his lab. His lab developed a dual-therapeutic gene therapy system (HSV1-Thymidine-kinase-Nitroreductase) that is five times stronger in killing cancer cells in vivo when treating with prodrugs while providing opportunity to image therapeutic response by clinically relevant PET. His lab developed Ultrasound-Microbubble mediated delivery of clinically approved PLGA-Nanoparticles for oncogenic microRNAs for improving chemotherapy, and currently extending this approach to treat dogs with spontaneous HCC.
Ashish Raj, PhD, University of California, San Francisco
Using neuroimaging and mathematical modeling, Dr. Raj and his team has uncovered network spread rules that recapitulate diverse neuropathological processes, especially Neuron 2012 paper that proposed a novel "Network-Diffusion" model of the progression of Alzheimer's and dementia. This work was awarded a prestigious EUREKA R01 award. The clinical significance is that it can predict future dementia patterns of a patient based on baseline scans: as demonstrated in Cell Reports. Recently he showed that connectome-driven propagation of Alzheimer disease is far more important than regional gene expression, a proxy for innate cell-autonomous factors.
David Schuster, MD, Emory University
Dr. Schuster's research focuses on translational development of radioligands for molecular imaging. His research concentrates on amino acid metabolism in oncologic imaging. He played a central role in translating the synthetic amino acid transport PET radiotracer FACBC (fluciclovine) into humans, becoming the 12th FDA-approved radiotracer. Highlights include an NIH R01on imaging of recurrent prostate cancer with FACBC and publication of numerous peer reviewed papers.
Seth Smith, PhD, Vanderbilt University Medical Center
Dr. Smith has pioneered the development and translational applications of advanced imaging biomarkers for the detection and assessment of disorders of the brain, spinal cord and peripheral nerves. He has pioneered the application of quantitative magnetization transfer (qMT), diffusion imaging and chemical exchange saturation transfer (GEST) imaging of the cord and optic nerve. His contributions include the first use of qMT in the brain applied to patients at high field, the first implementation of CEST in the spinal cord in vivo in subjects with multiple sclerosis, and the first applications of quantitative multi-shot diffusion tensor imaging (DTI) to assess the optic nerve.
Xiangyang Tang, PhD, Emory University
Dr. Tang is an expert in multi-detector, cone beam, and phase contrast CT. His significant contributions include; Three-dimensional weighted cone beam filtered back projection algorithm for image reconstruction in volumetric CT–Helical scanning; Characterization of imaging performance in differential phase contrast CT compared with conventional CT–NPS(k); Optimization data acquisition in axial CT under framework of sampling on lattice for suppression of aliasing artifacts with algorithmic detector interlacing.
Drew Torigian, MD, MA, University of Pennsylvania
Dr. Torigian helped create a general automatic anatomy recognition software system that works on multiple organs body-wide and on multiple cross-sectional imaging modalities, which will facilitate practicable automated radiology image analysis. He described, for the first time, the metabolic effects of chronic tobacco use in all major organs of the whole body based on quantitative FDG-PET/CT. He was also the first to report the feasibility of quantifying pulmonary air trapping on lung MDCT via an optical flow method.
Zhude Tu, PhD, MS, Washington University, St. Louis
Dr. Tu is an innovator in using PET to investigate abnormalities in different biological processes. His current research focuses on the development of PET radiopharmaceuticals for neurological disorders. Key contributions include PET radiopharmaceuticals which target four biomarkers: vesicular acetylcholine transporter (VAChT); FVAT can quantify the loss of cholinergic neurons in patients with early stage cognitive dysfunction; a clinical trial is underway in PD and PSP patients; Sphingosine-1-phosphate receptor 1 (SlPl), a therapeutic target in MS and other inflammatory diseases such as atherosclerosis, neointimal hyperplasia, carotid injury; this tracer represents an innovative methodology for imaging inflammation; phosphodiesterase, a specific C-11 labeled promise agent was fully characterized for their suitability to assess the PDEl0A expression in the brain. Dopamine receptor 3 (D3), D3 specific agents measure neurobiological changes in social stress and drug abuse. The new SlPl and PDEl0A radiopharmaceuticals will be ready to transfer into clinical use next year. The VAChT and D3 imaging biomarker had transferred from the bench to clinic bed. In addition, he also had transferred an F-18 labeled fatty acid radiotracer for cardiovascular imaging, and an F-18 labeled sigma-2 receptor radiotracer for cancer imaging into clinical investigations.
Harry Van Brocklin, PhD, MS, University of California, San Francisco
Throughout Dr. Van Brocklin's career he has developed new radiochemical synthetic methods to prepare PET and SPECT radiotracers, for preclinical evaluation and translation for human research and clinical development. Dr. Van Brocklin's creative approach has applied an enzymatic method to label amino acid-based molecules with fluorine-18. Antibody-based agents targeting UPaR receptors led to imaging and radiotherapeutic molecules and an understanding of the UPaR expression in several tumor types, he developed a new fluorine-18 labeled phosphonamidite targeting PSMA that has now completed successful phase 1 human trials at UCSF.
Suresh Vedantham, MD, Washington University, St. Louis
Dr. Vedantham's career is devoted to defining the optimal utilization of innovative, image-guided therapies for patients with deep vein thrombosis (DVT) in studies with high scientific rigor and broad collaborative scope. Early on, he pioneered contemporary endovascular strategies for prevention and treatment of post-thrombotic syndrome, a disabling late complication of DVT. He subsequently served as National Principal Investigator of two pivotal, NIH-sponsored, multicenter randomized clinical trials (ATTRACT and C-TRACT). Evidence from the completed, landmark ATTRACT Trial now enables physicians to target catheter-based therapy to acute DVT patients who are most likely to benefit, reducing morbidity and costs.
Lawrence Wald, PhD, MA, Massachusetts General Hospital, Harvard Medical School
Dr. Wald has made major contributions to a MRI methodology. He introduced highly parallel detection for MRI, including the first >32ch arrays a strategy now widely used. His method for Simultaneous MutliSlice EPI speeds up clinical scanning and is in use by the major vendors. His work on new systems such as the "Connectome" scanner has expanded the capability of diffusion MRI. He is currently developing the first human Magnetic Particle Imaging (MPI) scanner as part of a Brain Initiative grant.
Xiaoming Yang, MD, PhD, MS, University of Washington
Dr. Yang's research has focused on interventional radiofrequency (RF) technologies to treat cancers. He has confirmed that RF can enhance gene- and chemo-therapies for several cancers. He has also developed molecular imaging techniques for guiding advanced stem cell and therapies.
Jiangyang Zhang, MD, PhD, New York University School of Medicine
Dr. Zhang has discovered a novel imaging method to highlight neuronal layers in the mouse brain. The method is sensitive to the microstructural organization within these layers, which leads to unique diffusion time dependent signal changes. Dr. Zhang also leads a team of researchers to apply similar methods to sensitively detect subtle brain tissue damages after neonatal hypoxia ischemia.
Zhuoli Zhang, MD, PhD, MS, Northwestern University
Dr. Zhang research focuses on cellular MRI, novel image-guided cancer immunotherapy, and image-guided combination cancer immunotherapy. He has made significant contributions to these field with recent studies: using clinical MR scanners to depict single therapeutic cells; developing MRI-guided selective transcatheter intrahepatic arterial (IHA) delivery techniques in a rodent HCC models; optimizing in vivo MRI approaches for tracking the therapeutic immune cells (dendritic cell vaccines); developing MRI techniques for NK cell tracking and IHA delivery methods for NK adoptive transfer immunotherapy (ATI); developing a novel image-guided interventional combination HCC immunotherapy using the target compound and NK-ATJ; and developing a novel image-guided combination PDAC therapy using local IRE and DC-based immunotherapy.
Xiaohong Zhou, PhD, University of Illinois at Chicago


Good beer deserves to stay cold. Whether you are enjoying a beer by the creek in the hotter-than-hot Texas sun or you've retreated to the comfort of the good ol' AC, our Tumblers are there to keep your beer at that perfect drinking temperature for up to 24 hours. Now we'd like to see if you can keep from drinking it that long!


Actually been back in Tucson nearly a month now. Candy had gotten a bladder infection, and the folks needed a house sitter, so I decided to head to the desert a few weeks early, and I am glad to report Candy's infection is gone, and all six of the critters I was responsible for are alive and well.
Now, that I have very briefly summed up my whereabouts about the past 3 weeks. I am currently staying at my favorite Casino here in Tucson. Which is always a welcomed change of pace, after spending the last 7 1/2 months in the forest.
Coyotes seen on Candys morning hikes. Of course they only come out when the good cameras at home.
Honorable mention Flash the desert tortoise was one of the six critters I was responsible while I was house sitting, and definitely the lowest maintenance. He's about as laid back as one can get!
The only road runners we saw last winter were either too far to get a good look or showing us their tail as they ran from us.
My favorite Casino stay as well. Glad Candy is all better!
You are living the dream, my friend. Thanks for sharing.
Hi! Im new to the van dwelling (2-wks) but have only stayed at different Wal-marts here and there. Im in Indiana right now but was looking for an idea or a place to go warmer. Whats the desert like? Do you just park anywhere? Is there a network of others at the same place? I have finances to go where-ever & a great vehicle but no sense of direction. Any advise?
I heard of a place called "Slab City in Niland" as well as "Salvation Mountain". Looks rough on the internet but probably ok. Have you ever been there? What other sites are there to see this time of year where its warm? PS, Ive never been outside of Indiana. Just retired.
Yep the desert is basically wide open theres millions of spots to go park and stay awhile. Southwestern Az and Southern California is probably the most popular during the winter months.
Been to Slab City and salvation mountain you should be able to type it in the search box at the top of the screen have a boat load a pics overall I felt safe there was a lot of good people.
I was leaning more toward Florida but when I checked the Wal-mart lists they dont like over-nighters. Then again Im in a van, not an RV. Maybe you dont ask but rather just park. I dont know. I would hate for security to wake me up. The up north Wal-marts dont care but I guess in tourists towns they do care.
My guess is Florida is more strict and a a lot less welcoming then out west, but never been there so I really don't know. Be interesting to know what you find out. Good luck!
Are you still at the Casino? I live about a mile from there. As a matter of fact I went there to get gas and pulled back out when I saw the price. Went to the Circle K instead.
Happy Candy is doing well.
Yep still here should be here on and off all winter. I had the same thoughts of filling up at the Casino but was almost 30 cents higher so I held off as well.
Hey! Remember me? The 'other' cat lady. Kathy! This looks like a peaceful and beautiful place to live in. I bet it's quiet at night. You're lookin' good kido. I'll keep track of you now that I can do this. Take care and lock your doors at night! I don't want the boogie man to get ya!


Gaining and maintaining stakeholder buy-in is crucial for the success of any process improvement project.
Simulation strengthens business cases by enabling ideas and proposals to be communicated through a visual, collaborative and evidence-based approach.
Why is simulation a uniquely powerful for building business cases?
Whether you have an idea that could save your organization millions of dollars, or you're trying to win new business for your product or service, convincing decision makers that the project will be a worthwhile investment can be a challenge.
Great opportunities can be easily passed by because the full potential of a project is lost in long proposal documents or static presentations.
Simulation is far more effective at generating desire for change. You can easily show stakeholders faults or problems in your current process. For example, where large queues are building-up, or where a series of activities are regularly grinding to a halt due to a lack of stock.
The simulation can then be used to showcase exactly how your solution will overcome these issues, backed up by comprehensive dashboards of the results – helping to strengthen your proposal.
FUJIFILM Imaging Colorants Project Manager, Eric Kurtz, utilized KPI and ROI results from SIMUL8 to build stakeholder buy-in for improvement options.
"The evidence provided through using simulation enabled us to make a strategic, long-term capital plan, as well as product offering decisions. Our project has been quickly approved and the design and engineering work is already in process."
What are the benefits of using SIMUL8 for business cases?
Simulation provides your stakeholders with a true representation of the problem that your business case will solve.
This offers great benefits in being able to avoid bias or political difficulties that can be part of working in any large organization.
Each step of the process can be walked through and a single, true agreement can be reached on how the process is working to support the current state.
Through the independent insight gathered by the simulation results, any stalemate can be broken and everyone will have a shared, consensual view of where the process needs to be improved.
Focusing on a simulation and being able to clearly demonstrate the background, justification and potential benefits of a business case really helps to drive things forward and dispel any concerns.
Simulation is visual and animated, so it allows you to clearly demonstrate the benefits of your business case to stakeholders and decision-makers.
It's also interactive, enabling your stakeholders to run the simulation for themselves and try different scenarios. As they become more involved, this builds enthusiasm and further increases the chances of project buy-in.
By improving stakeholder involvement, simulation can speed up the evolution of thinking and a project can change direction to focus on what your organization or client really needs to know, rather than what they thought they wanted to know at the start of the project!
Simulation is so effective at communicating business cases that many companies, such as manufacturers and pharmaceutical suppliers, also use the software as a sales tool to showcase the benefits of their products to clients.
It's rare for any process improvement project to only have one clear solution to an issue. Using simulation, you can leave no stone unturned.
Simulation can help you identify the most effective course of action for business cases by comparing solutions in terms of objective criteria, such as increased throughput or the cost-effectiveness of implementation.
Another benefit of simulation for creating business cases is that it is more cost-effective to test potential solutions, eliminating any need for down-time or costly live trials.
The speed at which solutions can be tested using simulation is also a big advantage. In a matter of seconds the performance of a system can be assessed over a week, a year, or even ten years.
Throughout these tests, the software is capable of simulating random elements such as seasonal variation or fluctuating sales demand – ensuring your business case has considered every possibility.
Utilize a wealth of results and take variability into account to strengthen business cases.
With simulation software, you can test the same system again and again with different inputs, ensuring that any changes to processes have been thoroughly tested.
Working in this way, it becomes very easy to identify the characteristics of a process and to gain an insight into exactly which results and KPIs are the most significant to the overall performance of the system.
For example, for a manufacturing plant – how would you assess which factor has the biggest influence on your output? Is it the staff availability per day, the stock levels of you key components or the equipment breakdowns that prevent you from achieving the required output levels?
Other tools, such as spreadsheets, can effectively model a static scenario but what happens if you need to determine the potential impact of random occurrences throughout your system, like the effect of a machine breaking down on an assembly line, or staff absence in a hospital? Only simulation can take these factors into consideration to really strengthen your business case.


There is no problem. This is the way government "regulation" works, especially in U.S.
If you fundamentally object to this South Australian proposal -- then you automatically object to the U.S. FDA, FCC, SEC, FAA, DOT, DOA, FTC, etc.


The European Securities and Markets Authority (ESMA) has toughened its stance on cryptocurrency derivative contracts.
In an announcement Tuesday, the EU markets watchdog said it has agreed to temporarily adjust the leverage limit for cryptocurrency-related "contracts for difference" (CFD) products to 2:1 – a move that will require retail investors to initially pay at least 50 percent of the total CFD value.
With a CFD, one party agrees to pay the other party if the value of the underlying asset changes.
The policy comes after the agency started a public consultation process in January, arguing at the time that the volatility of cryptocurrencies as an underlying asset for CFDs poses serious concerns for retail investor protection.
With initial leverage then standing at 5:1 – meaning investors could pay just 20 percent of the total CFD value initially – the agency had mulled either a lower leverage limit (2:1 or 1:1) or even banning distribution, marketing or sales of these products altogether.
In today's announcement, the ESMA indicated that cryptocurrencies still remain an area of concern, and may consider tougher measures in the future in order to protect investors.
The new measure come at a time when the cryptocurrency market is seeing growing interest from retail investors, and brokers and dealers have responded to this demand with new products.
For instance, just this Monday, Swiss bank and securities dealer Dukascopy announced it is now offering bitcoin/US dollar CFDs through its retail client accounts, with future plans to offer purchase and sales of the underlying cryptocurrency assets.


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Chamber: Top issue facing business leaders is workforce
The workforce is a top priority for business leaders, according to Chamber of Commerce President and CEO Chad Warmington — and it's top of mind for lawmakers heading into the 2023 legislative session.
(Photo by Janice Francis-Smith)
OKLAHOMA CITY — The workforce is a top priority for business leaders, according to the state chamber — and it's a top priority for Oklahoma lawmakers heading into the 2023 legislative session.
The state chamber held its Public Affairs Forum 2022 Tuesday at the Oklahoma City Convention Center. Speakers included Oklahoma House Speaker Charles McCall, R-Atoka; Senate President Pro Tempore Greg Tritt, R-Oklahoma City; House Minority Leader Cindy Munson, Oklahoma City; and Senate Minority Leader Kay Floyd, D-Oklahoma City.
The state chamber conducts a survey of business leaders in Oklahoma each year, and the latest survey revealed what state leaders should be doing to help businesses, according to Chad Warmington, president and CEO of the state chamber.
Also Read : Fed's Collins expresses hope that inflation can be tamed without hitting jobs
"More than 60% of respondents said the number one issue facing their business, the biggest threat to their business being able and competitive in Oklahoma, was the workforce," Warmington said.
"Oklahoma has the talent, the employers and the conditions … a state that companies are moving to because of our workforce conditions," Warmington said.
McCall said the unemployment rate remains low, but businesses are still struggling to find qualified, skilled workers. During the 2023 session, lawmakers will focus on "strategic investments" in workforce needs and tax reform.
Oklahoma has the fourth-lowest corporate income tax in the nation, but still ranks 23rd in overall tax policy, McCall said.
McCall said the Legislature will make targeted investments in health care, education and economic development projects next year, and will help businesses that are already growing here in the state.
Also Read : It's Good For Business When Socioeconomically Disadvantaged Workers Are Given A Fair Shot
"It's easier for the state to support existing industry than to attract new ones," McCall said.
Some social policies and political "culture wars" are negatively affecting the workforce, Munson said. Hardline political positions, such as Oklahoma's near-total ban on abortion, hurt the state's ability to attract businesses, Monson said.
"As we grow our economy in Oklahoma, we must be ready to welcome a diverse workforce," Munson said. "If we want CEOs to bring their businesses and their employees to our state, we must demonstrate an ability to embrace and celebrate all people."
Floyd said the education system produces the nation's future workforce, but teachers are leaving the profession in droves. The 2021-22 school year saw a record number of emergency certifications to fill vacant teacher positions — 3,914 — Floyd said.
"It's a workforce issue; we need to understand why we're losing so many teachers," Floyd said.
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Monson said a former Teacher of the Year quit "not because of the pay but because of the lack of respect for her profession," noting that many of the statements at the state capitol building during the last session "targeted them. Back "
"The pandemic has highlighted one of the biggest barriers for our employees to enter and stay in the workforce, and that is access to affordable child care," Monson said.
Nearly 65% of Oklahomans live in a "child care desert" without enough providers to meet the needs of the local workforce, Floyd said. Of the 77 counties in Oklahoma, 34 are considered "child care deserts," and the issue affects rural and urban counties alike.
Child care has been shown to provide a $1.7 billion impact on the state's economy, Floyd said.
Floyd said criminal justice reform could also benefit the workforce system.
"When these people get out of prison, they join the workforce," Floyd said. "We're losing a portion of our workforce by not facilitating the transition from prison."
Tags: Government House, Labor shortage, Oklahoma State House, unemployment
Lowell General holds annual basket raffle for Sun Santa
hongik university's students see the smart-life future for online degree show 2022


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Home Attractions Comedy Sharing 'Relatable' Humor: Comedian Steve Trevino coming to Stand Up Live
Sharing 'Relatable' Humor: Comedian Steve Trevino coming to Stand Up Live
Photo courtesy Steve Trevino
By Christina Fuoco-Karasinski | February 16, 2021
Steve Trevino's parents often held barbecues at their house during which the men cooked outside, and the women retreated indoors to chat.
He remembered both groups coming together inside and "laughing their butts off."
"I looked at the TV and there was a guy there telling jokes," Trevino says. "It was Richard Pryor. I didn't know I could do that for a job. I said, 'That's what I'm going to do.'"
And he did.
Known as "America's Favorite Husband," Trevino will perform at Stand Up Live in Phoenix from Thursday, February 18, to Saturday, February 20. He's living his dream.
"As a kid, back in the day, in between movies on HBO, they would tell you the next three things that are coming," he recalls. "Sometimes, the third one would be 'Def Comedy Jam,' an hour-long comedy special. I would stay up until 1 a.m. sometimes. I wanted to watch that stand-up special and thought, 'One of those days, maybe it'll be me.'"
He's one of the country's fastest-rising comics. Trevino has been viewed over 175 million times as of 2020, selling out shows coast to coast, amassing nearly 1 million social media followers, and headlining specials for Amazon, Netflix and Showtime.
He opened the 2001 "Three Amigos Comedy Tour" with Carlos Mencia, Pablo Francisco and Freddy Soto. By 2006, he began headlining.
His first Showtime special, "Grandpa Joe's Son," staked out a spot in the Nielsen Top 20. In 2014, he funded, produced and shot his Netflix hit "Relatable."
To promote the special, he uploaded a clip entitled "When Your Wife Comes Home from Shopping," which generated 56 million views on Facebook alone and paved the way for clips like "When You Ask Your Wife If She Wants McDonald's" and "When Going to Vegas with Your Wife Goes Wrong."
Trevino finds laughs in all aspects of the "shutdowns" — panic shopping, being home with his wife and best friend Renae. He even finds humor in 2019, their worst year, when Renae had a miscarriage at five months pregnant. In 2020, they gave birth to their baby girl during the pandemic.
"With each of my comedy specials I've gotten more personal," Trevino says. "I wanted to be able to talk about the miscarriage because I felt like it was something a lot of couples have gone through, but no one's talking about it. To me, some of the best comedy comes from great pain, so it was important for me to find an honest and funny way to share that journey with my audience."
Trevino also raises money for Helicopters for Heroes, an organization benefiting veterans. Also, in 2020, he and Renae unveiled a joint weekly podcast entitled Steve Trevino & Captain Evil: The Podcast, which now has over 1 million views/streams. Truly a family affair, the special also features a short stand-up from their 5-year-old son, Garrett.
"I talk about life," he says about his comedic topics. "I talk about what I'm going through with my wife, trying to raise a 5-year-old, having a 2-month-old, the quarantine — you know, everything.
"Everything I do onstage is about everyday life. I named one of my specials 'Relatable' because that's what my comedy is. I'm a storyteller. This is what I'm going through now with my frustrations with my wife and marriage. Hopefully, it translates."
Amazon recently picked up his fourth comedy special, "My Life in Quarantine," which he released for a limited time through his website late last year.
"That's very exciting, because we did it without waiting for any streaming service. We wanted to get it out straight to the fans," he says.
"We were able to get it on Amazon, but now it's on Netflix. At the end of the day, it's a commercial. They can watch me and see if they want to see me when I'm in their city on tour."
Steve Trevino
When: Various times Thursday, Feb. 18, to Saturday, Feb. 20
Where: Stand Up Live, 50 W. Jefferson Street, Phoenix
Info: 480-719-6100, standuplive.com
cdziawura
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Season 5 episode 2 of Black-ish followed in the footsteps of its previous counterparts in delivering humorous but meaningful commentary on phenomenon faced by the black community in the USA today. This episode, in particular, revolved around Dre's claim that "black people don't snitch."; and while stated humorously, this statement does hold some heavy truths. Taking in count that fact that the police force we have today in the USA evolved from slave patrols from the 1600s, and the historical context of police brutalizing and the controlling black bodies, to this day, the lack of trust in police felt by the black community is inevitable and justifiable. Furthermore, since the police force was created for white people to control black people, it explains white people's ease with dialling 911 at minor inconveniences, and more darkly, the culture of weaponizing the police against black people which makes black people scared to call the police even at times of need. And as the episode goes on, it shows that this generationally institutionalized racism helps fuel the truthfulness of the statement "black people don't snitch"; and it isn't because black people are inherently "non-snitch-ers", but because they don't have the privilege, unlike their white counterparts, to call the police as they feel.
With that, the episode moves on to comment on the importance of families, especially black and brown ones and about the importance of having conversations about topics that are usually deemed uncomfortable or personal with their growing adolescents as they navigate this world. Specific to the central commentary of the episode, Dre is forced to have a conversation about race, specific to calling 911 on black people, with his son, Jack. This conversation may feel all too familiar to black parents and their kids since "put your hands up", "do as they say", and other usually traumatizing sayings have become survival techniques in the oppressive climate we live in. The uncomfortableness that Dre felt as he exposed his son to the fact that Jack will be judged and treated unfairly by the cops is a harsh reality that, sadly, must be faced at some point to survive in this racist society. But the knowledge Dre gives Jack by informing him about the fatal consequences of calling the police on black people is one all of us, especially non-black people should be internalizing; especially in the current height of racially bias 911 calls being made.
Along with Jack, Rainbow has a conversation with her daughters, Zoey and Diana, about another aspect of adult life that adolescences are discovering, which may be uncomfortable to talk about i.e. relationships. At the beginning of the episode, Diana is asked out on her first date but by the end of the episode, that does not work out since the boy, Wyatt, cancels on her. In the beginning, Diana was shutting out her mother in anything Wyatt related, as teenagers do, but by the end, she learns to talk to her mother about relationships; and even evolves to accept that it is okay for relationships to not work out sometimes.


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ICA - Institute of Contemporary Arts
+44 02079303647 FAX +44 02073060122
Roberto Cuoghi
Zoe Franklin
Marcella Beccaria
ICA - Institute of Contemporary Arts, London
Suillakku. In this project, Italian artist Roberto Cuoghi undertook an imaginative journey back to Mesopotamia in the seventh century BC, when the Assyrian empire was falling into ruin and the city of Ninevah (the site of which is in modern-day Iraq) was ransacked by its enemies. Inspired by Assyrian lamentations to their gods, this intense aural landscape gives the visitor the impression of being surrounded by hundreds of people at a time of great suffering.
The ICA is proud to present Šuillakku, the first British exhibition by the young Italian artist Roberto Cuoghi. The main element in the exhibition is an eponymous sound installation, to make which the artist undertook an imaginative journey back to Mesopotamia in the seventh century BC, at the time of the ancient Assyrians. This was the point at which the Assyrian empire was under attack from its enemies, and Cuoghi's piece takes the form of an appeal by the citizens of Nineveh to their gods, shortly after the city's fall.
To create Šuillakku the artist spent two years immersed in the language, rituals and superstitions of the Assyrians. The sound track he subsequently composed draws on this intensive historical research as well as his own imagination, and includes a myriad of musical instruments, voices and other sounds. All of the vocal parts were recorded by Cuoghi himself, who also made many of the instruments which can be heard (and some of which are being made available to visitors as part of the ICA's education programme).
During his researches the artist frequently came across the god Pazuzu, a winged being with a dog's face and a scorpion's tail (and which was, incidentally, used as a model for the demon in the film The Exorcist). Pazuzu was one of the most powerful of Assyrian demons, and its image was often placed at entrances and gateways to drive away lesser spirits. The other element in the exhibition is a giant statue of this demon, mounted above the entrance to the ICA – completing Cuoghi's exploration of superstition and fear.
Roberto Cuoghi: Šuillakku has been curated by Marcella Beccaria and organised by Castello di Rivoli Museum of Contemporary Art, Rivoli-Turin.
Artist's talk
On Thursday 20 November, at 7pm, Roberto Cuoghi will talk about his work – and Šuillakku – in conversation with Francesco Manacorda (Curator, Barbican Art Gallery, London). Admission free, but booking advisable (call +44 20 7930 3647).
The exhibition is accompanied by an in-depth catalogue on the work of Roberto Cuoghi, published by Skira, Milan. This publication includes an essay by the curator, biographical and bibliographical appendices and images of many of the artist's previous works. The catalogue is available from the ICA Bookshop and via the ICA website.
To accompany the exhibition Roberto Cuoghi has produced a special silkscreen and giclee print featuring an image of Pazuzu. For details please contact Vicky Steer (T: +44 20 7766 1425 / E: vicky.steer@ica.org.uk).
Education programme
The exhibition is accompanied by an education and learning programme especially geared towards schools, colleges and families. Visitors will be able to gain hands-on-experience of some of the unique instruments fabricated by Cuoghi, including hand-made flutes, sistrums, trumpets and drums. Cuoghi has also selected a range of films for families and young people, which will be screened every day for free during the October half term holidays. For details see website.
Zoë Franklin, Press Officer
E: zoe.franklin@ica.org.uk
The Institute of Contemporary Arts is a registered charity in England, No: 263848
The Mall - London
Radical Disco
dal 7/12/2015 al 9/1/2016


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Q: html select import options My code:

<select name="Opt1">
 <option value="volvo">Volvo</option>
 <option value="saab">Saab</option>
 <option value="mercedes">Mercedes</option>
 <option value="audi">Audi</option>
</select>

<select name="Opt2">
  <!--- same options "Opt1" -->
</select>

How do I repeat it? without rewriting it, my select will have more than 100 options and I need to repeat select at least 50 times.
Is it possible to create a hidden div and each select I call that div?

A: I think you can if you are allowed to use JavaScript/jQuery.
Here is an example.. You can add multiple ..

  var result = ['Volvo', 'Saab', 'Mercedes', 'Audi'];
  var options = "";

  for(let i=0; i< result.length; i++){
    options+= "<option value='"+result[i].toLowerCase()+"'>"+result[i]+"</option>";
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West Coast Eagles face allegations of racism over 'yellow peril' jumper spruik
By Brendan Foster
Updated April 19, 2016 — 4.10pm first published at 3.36pm
The West Coast Eagles have inadvertently opened themselves up to allegations of racism after promoting their retro jumper from the weekend on social media with the term "the yellow peril is back".
The Eagles donned a predominantly yellow guernsey for Friday night's win over Richmond, paying homage to the club's 30th anniversary and first-up 1987 victory against the Tigers.
The term 'yellow peril' was a derogatory and xenophobic phrase used in the mid-1940s
But although the jumper appears to have been given the thumbs-up, two of the club's attempts to spruik it on Facebook haven't been so popularly received - referencing "yellow peril", including "we learned you loved the yellow peril".
"Yellow peril" was a derogative and xenophobic phrase used in the mid-1940s to describe Asians who were perceived as a "danger to the Western World".
West Coast stars in the anniversary jumper for its round four win over Richmond. Credit:AFL
It was also used to describe the Chinese population that flocked to Australia during the Gold Rush period of the late 1890s
The Wikipedia entry for the racist interpretation of "yellow peril" is the first result when the phrase is typed into Google.
There are more than 20 comments on the Eagles' Facebook posts reacting negatively to the use of the words "yellow peril"
Spokesperson for the Ethnic Communities Council of WA Suresh Rajan said he was angered and disappointed West Coast was using the term.
Some of the feedback on the Eagles' Facebook page over its use of the term 'yellow peril'.
"It clearly is racist," he told WAtoday.
"It refers to a stereotypical past where it was thought Asians were coming to Australia to take away our gold. I'm absolutely mortified."
Mr Rajan said he previously held West Coast in high regard for dealing with the race issues confronting Eagles' big man Nic Naitanui.
Ironically, Naitanui is an AFL Multicultural Ambassador.
"As an organisation I always felt they dealt well with racism issues and I even work with the club with some of the issues surrounding Nic Naitanui," he said.
"I don't have an issue with the colour yellow, but the wording of yellow peril is unacceptable."
Mr Rajan is calling on West Coast to stop using the phrase.
"Maybe they could use the yellow juggernaut, or something," he said.
A number of social media users hit back at claims the term was racist. One urged people not "take the phrase out of context and then get all uppity about it."
Another posted "I'm actually part Asian and it doesn't offend me in the slightest. Your ridiculous bleating about phrases used 100 years aho which no longer carry the same meaning does, however, offend me."
The launch of the Eagles' yellow peril campaign comes only days after Prime Minister Malcolm Turnbull was in China with AFL bigwigs to look at spreading the game into the the Chinese market.
There are even plans for Port Adelaide to play a game in China next year.
West Coast has been alerted to the potential for offence in its Facebook posts.
Brendan Foster
Brendan Foster is a Freo local with a love for the Eagles, a cheeky pint and a good yarn.


October 5, 2007. Planning Support Systems: Exploring the Role of Information Technology in Local Government Planning, presented at the Annual Meeting of the Colorado Chapter of the American Planning Association. Colorado Springs, Colorado.
August 9, 2007. Planning Support Systems: Exploring the Role of Information Technology in Local Government Planning, presented at the Annual Meeting of the Western Planner Association. Dickinson, North Dakota.
March 20, 2007. Planning Support Systems in Support of Community Consultation. At the conference Impact Assessment: A Process Not a Product. Environmental Institute of Australia and New Zealand South East Queensland Division. Brisbane, Australia.
March 15, 2007. Planning Support Systems in Southeast Queensland. University of the Sunshine Coast. Sippy Downs. Qld., Australia.
March 14, 2007. Planning Support System Applications: Overview and Australian Examples, presented at Central Queensland University. Bundaberg, Qld., Australia.
March 13, 2007. Improving Planning Outcomes and Doing the Job More Efficiently for Local Council, presented at Environmental Systems Research Institute (ESRI). Brisbane, Australia.
March 11, 2007. Evaluating Rural Economic Opportunity. Hunchy. Qld., Australia.
April 26, 2006. Planning Support Systems and Spatial Scenario Planning: Evaluating & Visualizing Alternative Land Use Scenarios. University of the Sunshine Coast. Sippy Downs. Qld., Australia.
April 20, 2006. GIS and Planning Support Systems for Economic Diversification on Rural Land. Hunchy. Qld., Australia.
October 28, 2005. Lessons Learned in Wyoming: Using Geospatial Technology for Rural and Small Town Planning. The Community Planning Collaborative Summit. Orlando, Florida.
October 17, 2005. Plan-IT Wyoming: Building Geospatial Technology Capacity for Rural Land Use Planning and Economic Development. Geographic Information Systems for Local Government Conference. State College, Pennsylvania.
July 29,2005. Planning Support System Applications for Small Town Business Park Site Design. The Environmental Systems Research Institute (ESRI) International User Conference in San Diego, California.
August 11, 2004. Presentation of initial work on the Cheyenne, Sheridan and Worland projects in the Presentation of User Projects in the CommunityViz™ User Meeting at the ESRI International User Conference. San Diego, California.
December 11, 2003. The Albany County Pilot Project. Tools for Community Design and Decision Making Conference (TCDDM V). San Francisco, California.
November 12, 2003. The Albany County pilot project was presented at the University of Wyoming Cooperative Extension EPIC Conference in Laramie, Wyoming.
October 28, 2003 University of Wyoming work with the Policy Simulator module of Community Viz™ was presented alongside the Albany County pilot project at the Environmental Systems Research Institute (ESRI) Southwest Users Group Conference (SWUG) in Jackson, Wyoming.
October 2, 2003 The Albany County pilot project was presented at the GIS in the Rockies Conference in Denver, Colorado.
September 11, 2003. The Albany County pilot project was presented at Wyoming Planning Association (WYOPASS) Fall Conference in Cheyenne, Wyoming.
July 10, 2003 Final work on the Albany County pilot project was presented at the Environmental Systems Research Institute (ESRI) International User Conference in San Diego, California.
March 4, 2003. Preliminary work on the Albany County pilot project was included as part of University of Wyoming Department of Agricultural & Applied Economics poster session at the National Association of State Universities and Land-Grant Colleges (NASULGC) conference in Washington, DC.


text:
Click to Take the FREE NLP Crash-Course
Gentle Introduction to Transduction in Machine Learning
By Jason Brownlee on September 18, 2017 in Deep Learning for Natural Language Processing
Transduction or transductive learning are terms you may come across in applied machine learning.
The term is being used with some applications of recurrent neural networks on sequence prediction problems, like some problems in the domain of natural language processing.
In this post, you will discover what transduction is in machine learning.
After reading this post, you will know:
The definition of transduction generally and in some specific fields of study.
What transductive learning is in machine learning.
What transduction means when talking about sequence prediction problems.
Kick-start your project with my new book Deep Learning for Natural Language Processing, including step-by-step tutorials and the Python source code files for all examples.
This tutorial is divided into 4 parts; they are:
What Is Transduction?
Transductive Learning
Transduction in Linguistics
Transduction in Sequence Prediction
Let's start with some basic dictionary definitions.
To transduce means to convert something into another form.
transduce: to convert (something, such as energy or a message) into another form essentially sense organs transduce physical energy into a nervous signal
— Merriam-Webster Dictionary (online), 2017
It is a popular term from the field of electronics and signal processing, where a "transducer" is a general name for components or modules converting sounds to energy or vise-versa.
All signal processing begins with an input transducer. The input transducer takes the input signal and converts it to an electrical signal. In signal-processing applications, the transducer can take many forms. A common example of an input transducer is a microphone.
— Digital Signal Processing Demystified, 1997
In biology, specifically genetics, transduction refers to the process of a microorganism transferring genetic material to another microorganism.
transduction: the action or process of transducing; especially : the transfer of genetic material from one microorganism to another by a viral agent (such as a bacteriophage)
So, generally, we can see that transduction is about converting a signal into another form.
The signal processing description is the most salient where sound waves are turned into electrical energy for some use within a system. Each sound would be represented by some electrical signature, at some chosen level of sampling.
Example of Signal Processing Transducer
Transduction or transductive learning is used in the field of statistical learning theory to refer to predicting specific examples given specific examples from a domain.
It is contrasted with other types of learning, such as inductive learning and deductive learning.
Induction, deriving the function from the given data. Deduction, deriving the values of the given function for points of interest. Transduction, deriving the values of the unknown function for points of interest from the given data.
— Page 169, The Nature of Statistical Learning Theory, 1995
Relationship between Induction, Deduction and Transduction
Taken from The Nature of Statistical Learning Theory.
It is an interesting framing of supervised learning where the classical problem of "approximating a mapping function from data and using it to make a prediction" is seen as more difficult than is required. Instead, specific predictions are made directly from the real samples from the domain. No function approximation is required.
The model of estimating the value of a function at a given point of interest describes a new concept of inference: moving from the particular to the particular. We call this type of inference transductive inference. Note that this concept of inference appears when one would like to get the best result from a restricted amount of information.
A classical example of a transductive algorithm is the k-Nearest Neighbors algorithm that does not model the training data, but instead uses it directly each time a prediction is required.
Transduction is naturally related to a set of algorithms known as instance-based, or case-based learning. Perhaps, the most well-known algorithm in this class is k-nearest neighbour algorithm.
— Learning by Transduction, 1998
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Classically, transduction has been used when talking about natural language, such as in the field of linguistics.
For example, there is the notion of a "transduction grammar" that refers to a set of rules for transforming examples of one language into another.
A transduction grammar describes a structurally correlated pair of languages. It generates sentence pairs, rather than sentences. The language-1 sentence is (intended to be) a translation of the language-2 sentence.
— Page 460, Handbook of Natural Language Processing, 2000.
There is also the concept of a "finite-state transducer" (FST) from the theory of computation that is invoked when talking about translation tasks for mapping one set of symbols to another. Importantly, each input produces one output.
A finite state transducer consists of a number of states. When transitioning between states an input symbol is consumed and an output symbol is emitted.
— Page 294, Statistical Machine Translation, 2010.
This use of transduction when talking about theory and classical machine translation color the usage of the term when talking about modern sequence prediction with recurrent neural networks on natural language processing tasks.
In his textbook on neural networks for language processing, Yoav Goldberg defines a transducer as a specific network model for NLP tasks.
A transducer is narrowly defined as a model that outputs one time step for each input time step provided. This maps to the linguistic usage, specifically with finite-state transducers.
Another option is to treat the RNN as a transducer, producing an output for each input it reads in.
— Page 168, Neural Network Methods in Natural Language Processing, 2017.
He proposes this type of model for sequence tagging as well as language modeling. He goes on to indicate that conditioned-generation, such as with the Encoder-Decoder architecture, may be considered a special case of the RNN transducer.
This last point is surprising given that the Decoder in the Encoder-Decoder model architecture permits a varied number of outputs for a given input sequence, breaking "one output per input" in the definition.
Transducer RNN Training Graph.
Taken from "Neural Network Methods in Natural Language Processing."
More generally, transduction is used in NLP sequence prediction tasks, specifically translation. The definitions seem more relaxed than the strict one-output-per-input of Goldberg and the FST.
For example, Ed Grefenstette, et al. describe transduction as mapping an input string to an output string.
Many natural language processing (NLP) tasks can be viewed as transduction problems, that is learning to convert one string into another. Machine translation is a prototypical example of transduction and recent results indicate that Deep RNNs have the ability to encode long source strings and produce coherent translations
— Learning to Transduce with Unbounded Memory, 2015.
They go on to provide a list of some specific NLP tasks that help to make this broad definition concrete.
String transduction is central to many applications in NLP, from name transliteration and spelling correction, to inflectional morphology and machine translation
Alex Graves also uses transduction as a synonym for transformation and usefully also provides a list of example NLP tasks that meet the definition.
Many machine learning tasks can be expressed as the transformation—or transduction—of input sequences into output sequences: speech recognition, machine translation, protein secondary structure prediction and text-to-speech to name but a few.
— Sequence Transduction with Recurrent Neural Networks, 2012.
To summarize, we can restate a list of transductive natural language processing tasks as follows:
Transliteration, producing words in a target form given examples in a source form.
Spelling Correction, producing correct word spelling given incorrect word spelling.
Inflectional Morphology, producing new sequences given source sequences and context.
Machine Translation, producing sequences of words in a target language given examples in a source language.
Speech Recognition, producing sequences of text given sequences of audio.
Protein Secondary Structure Prediction, predicting 3D structure given input sequences of amino acids (not NLP).
Text-to-Speech, or speech synthesis, producing audio given text sequences.
Finally, in addition to the notion of transduction referring to broad classes of NLP problems and RNN sequence prediction models, some new methods are explicitly being named as such. Navdeep Jaitly, et al. refer to their new RNN sequence-to-sequence prediction method as a "Neural Transducer", which technically RNNs for sequence-to-sequence prediction would also be.
we present a Neural Transducer, a more general class of sequence-to-sequence learning models. Neural Transducer can produce chunks of outputs (possibly of zero length) as blocks of inputs arrive – thus satisfying the condition of being "online". The model generates outputs for each block by using a transducer RNN that implements a sequence-to-sequence model.
— A Neural Transducer, 2016
This section provides more resources on the topic if you are looking go deeper.
Merriam-Webster Dictionary definition of transduce
Digital Signal Processing Demystified, 1997
Transduction in Genetics on Wikipedia
The Nature of Statistical Learning Theory, 1995
Learning by Transduction, 1998
Transduction (machine learning) on Wikipedia
Handbook of Natural Language Processing, 2000.
Finite-state transducer on Wikipedia
Statistical Machine Translation, 2010.
Sequence Prediction
Neural Network Methods in Natural Language Processing, 2017.
Learning to Transduce with Unbounded Memory, 2015.
Sequence Transduction with Recurrent Neural Networks, 2012.
A Neural Transducer, 2016
In this post, you discovered transduction in applied machine learning.
Ask your questions in the comments below and I will do my best to answer.
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10 Responses to Gentle Introduction to Transduction in Machine Learning
JLE September 18, 2017 at 6:57 pm #
I have a set of points on the x,y plane and I find they correspond to a sine wave with a certain period, phase and amplitude: Induction.
I have a sine wave with a certain period, phase and amplitude and I'm interested to know the values of y for certain values of x: Deduction.
I have a set of points on the x,y plane and I'm interested to know the values of y for certain values of x: Interpolation.
Is there anything in transduction that can't be called interpolation?
In the signal processing sense (and natural language processing), transduction is best thought of as a transform.
In the statistical machine learning sense, it is a type of just-in-time instance based prediction. Interpolation sounds fair.
Laiqi Wang September 22, 2017 at 11:29 am #
good , explain very well
laith baniata September 25, 2017 at 2:30 am #
I would like to know the way to do seq2seq implementation in KERAS pyhton Can you provide me some resources for that or some books or examples
See this tutorial:
https://machinelearningmastery.com/encoder-decoder-long-short-term-memory-networks/
Rodrigo March 14, 2019 at 8:14 am #
Nice summary, thank you.
I've noticed that many transduction explanations make the point that it is about avoiding to learn a function, and instead making predictions directly for test cases. I get the idea but I find it a bit imprecise.
Take, for example, k-means. Given a set of training cases and k-means, there *is* a function mapping each test case to its cluster, namely the function defined by using those training examples with k-means. In other words, k-means itself is a function.
So it seems to me what is really meant by "not learning a function" is actually "not performing much a priori processing, and not representing a function in a compact, abstract form, and instead representing it in terms of training examples."
This reminds me of the misnomer "non-parametric probabilistic models", which are actually parametric but have an unbound rather than fixed number of parameters, typically expressed in terms of training data as well.
Yes, I completely agree.
David Manheim August 26, 2019 at 8:22 pm #
You're probably looking for "Abduction," which already means what this post says "transduction" means
Can you elaborate please David?
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Professor of Political & Social Theory, School of Politics, Philosophy, Language and Communication Studies
Research Group Member, Policy & Politics
Member, Political, Social and International Studies
Research Group Member, Cultural Politics, Communications & Media
Alan Finlayson
Professor Alan Finlayson's research combines contributions to the development of democratic political and cultural theory with the theoretical and historical analysis and interpretation of the ideologies that shape British political culture, political economy and 'governmentality'. As part of this work he has developed particular expertise in the theoretical and practical study of political rhetoric, a field which - in the form of Rhetorical Political Analysis - he has done much to establish within British Political Studies. In this context he oversees the website British Political Speech.
Prof. Finlayson is currently PI on the AHRC funded research project Political Ideology, Rhetoric and Aesthetics in the Twenty-First Century: The Case of the 'Alt-Right'. This is a three-year research project examining how new technologies are transfoming the ways in which political ideas are formed and circulated and how this affects our relationship with our political beliefs and with their argumentative expression.
Alan is an associate Editor of the journal Contemporary Political Theory; Chair of the Editorial Board of Renewal: A Journal of Social Democracy; co-editor of the Palgrave book series Rhetoric, Politics and Society; co-founder and Treasurer of the Rhetoric and Politics Group of the UK Political Studies Association and a member of the International Task Force of the Rhetoric Society of America. He has contributed political commentary and analysis for print, broadcast and online media including The Guardian, Open Democracy and The London Review of Books.
2012 - Present: Professor of Political and Social Theory, UEA
2000 - 2011: Lecturer, Senior Lecturer and Reader, Department of Politics and International
Relations, Swansea University
1992 - 1999: Teaching Fellow and Lecturer, School of Politics, The Queen's University of Belfast
Honorary Appointments:
2003: Visiting Professor, Department of Speech Communication, University of Southern
2008: Visiting Lecturer, Centre for Theoretical Studies, Essex University
2008: Visiting and Guest lecturer , University of Jyväskylä, POLITU Doctoral Course:
Rhetoric of Governments, Parliaments and Movements
2011: Visiting Fellow, Institute of Advanced Study, University of Warwick