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result(s) for
"Allen, Dave"
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Dave Pelz's golf without fear : how to play the 10 most feared shots in golf with confidence
The renowned instructor behind elite pros such as Phil Mickelson and Vijay Singh shows golfers how to conquer the 10 shots they fear the most with confidence.
Dead Shrimp Blues: A Global Assessment of Extinction Risk in Freshwater Shrimps (Crustacea: Decapoda: Caridea)
by
Alvarez, Fernando
,
Anker, Arthur
,
Carrizo, Savrina F.
in
Agricultural pollution
,
Animals
,
Atyidae
2015
We present the first global assessment of extinction risk for a major group of freshwater invertebrates, caridean shrimps. The risk of extinction for all 763 species was assessed using the IUCN Red List criteria that include geographic ranges, habitats, ecology and past and present threats. The Indo-Malayan region holds over half of global species diversity, with a peak in Indo-China and southern China. Shrimps primarily inhabit flowing water; however, a significant subterranean component is present, which is more threatened than the surface fauna. Two species are extinct with a further 10 possibly extinct, and almost one third of species are either threatened or Near Threatened (NT). Threats to freshwater shrimps include agricultural and urban pollution impact over two-thirds of threatened and NT species. Invasive species and climate change have the greatest overall impact of all threats (based on combined timing, scope and severity of threats).
Journal Article
Computational application of internationally harmonized defined approaches to skin sensitization: DASS App
by
Reinke, Emily
,
Maldonado, Heather
,
Allen, Dave
in
Algorithms
,
Animal Testing Alternatives - methods
,
Animals
2024
Background
Chemically induced skin sensitization, or allergic contact dermatitis, is a common occupational and public health issue. Regulatory authorities require an assessment of potential to cause skin sensitization for many chemical products. Defined approaches for skin sensitization (DASS) identify potential chemical skin sensitizers by integrating data from multiple non-animal tests based on human cells, molecular targets, and computational model predictions using standardized data interpretation procedures. While several DASS are internationally accepted by regulatory agencies, the data interpretation procedures vary in logical complexity, and manual application can be time-consuming or prone to error.
Results
We developed the DASS App, an open-source web application, to facilitate user application of three regulatory testing strategies for skin sensitization assessment: the Two-out-of-Three (2o3), the Integrated Testing Strategy (ITS), and the Key Event 3/1 Sequential Testing Strategy (KE 3/1 STS) without the need for software downloads or computational expertise. The application supports upload and analysis of user-provided data, includes steps to identify inconsistencies and formatting issues, and provides predictions in a downloadable format.
Conclusion
This open-access web-based implementation of internationally harmonized regulatory guidelines for an important public health endpoint is designed to support broad user uptake and consistent, reproducible application. The DASS App is freely accessible via
https://ntp.niehs.nih.gov/go/952311
and all scripts are available on GitHub (
https://github.com/NIEHS/DASS
).
Journal Article
Wonder Woman. Vol. 5, Heart of the Amazon
\"New danger and enemies are closer than she knows. Can the Lasso of Truth bring light to the dark for Wonder Woman? Coming off the highly anticipated Wonder Woman and Justice League movies and with the success of DC Super Hero Girls, the Amazon Warrior's profile is higher than ever\"-- Provided by publisher.
Get Off Your Knees
2009
Growing up, John Robinson never considered himself an inspiration toothers. He was born a congenital amputee and stands three foot eight asan adult. Although he has no extension of his arms or legs, he has notbeen limited in his career or in his personal life. After graduating fromSyracuse University's S.I. Newhouse School of Public Communications, hewent on to work for NBC affiliates in upstate New York and today is thedirector of corporate support for WMHT, the public broadcasting televisionstation in Albany.Robinson's success did not come easily. From learning how to dresshimself after going away to college, to making new friends and feelingaccepted, he struggled to come to terms with his disability and make a lifeon his own. Although his journey may not be considered \"normal,\" he doesnot see this as an obstacle, but as an opportunity to succeed and to understandthe meaning of responsibility.Robinson writes in an honest, personal voice, showing that a disabilitydoes not have to get in the way of an education, a career, a family, or oneof his favorite hobbies, golf. Get Off Your Knees is a touching story and, asRobinson says, is for \"anyone who feels they need inspiration, whether it bean individual with a mental or physical disability, parents of children withdisabilities, or someone looking to overcome an obstacle in life.\"
Batman and the Outsiders
by
Barr, Mike W., writer
,
Wolfman, Marv, writer
,
Aparo, Jim, artist
in
COMICS & GRAPHIC NOVELS - Superheroes.
2017
\"In these tales from the 1980s, Batman splits off from the Justice League of America to form his own super-team known as the Outsiders. Including established heroes Black Lightning and Metamorpho as well as dynamic new heroes Katana, Geo-Force, and Halo, the team fought for justice on an international stage. Combining superhero action with espionage, the Outsiders brought their own brand of justice to Geo-Force's nation of Markovia, Katana's homeland of Japan, and across the globe.\"-- Provided by publisher.
Epidemic Forecasting is Messier Than Weather Forecasting: The Role of Human Behavior and Internet Data Streams in Epidemic Forecast
by
Priedhorsky, Reid
,
Fairchild, Geoffrey
,
Hyman, James
in
BASIC BIOLOGICAL SCIENCES
,
Behavior
,
Big Data for Infectious Disease Surveillance and Modeling
2016
Mathematical models, such as those that forecast the spread of epidemics or predict the weather, must overcome the challenges of integrating incomplete and inaccurate data in computer simulations, estimating the probability of multiple possible scenarios, incorporating changes in human behavior and/or the pathogen, and environmental factors. In the past 3 decades, the weather forecasting community has made significant advances in data collection, assimilating heterogeneous data steams into models and communicating the uncertainty of their predictions to the general public. Epidemic modelers are struggling with these same issues in forecasting the spread of emerging diseases, such as Zika virus infection and Ebola virus disease. While weather models rely on physical systems, data from satellites, and weather stations, epidemic models rely on human interactions, multiple data sources such as clinical surveillance and Internet data, and environmental or biological factors that can change the pathogen dynamics. We describe some of similarities and differences between these 2 fields and how the epidemic modeling community is rising to the challenges posed by forecasting to help anticipate and guide the mitigation of epidemics. We conclude that some of the fundamental differences between these 2 fields, such as human behavior, make disease forecasting more challenging than weather forecasting.
Journal Article
Batman, the Dark Knight detective
\"In these stories that immediately followed BATMAN: YEAR ONE, the Caped Crusader learns what kind of compromises he must make to be the hero that Gotham City truly needs. As he battles against the deadly Reaper, the city's first vigilante hero, Batman must work with the man who murdered his parents and a cadre of mob bosses to protect Gotham City.\"-- Provided by publisher.
CATMoS: Collaborative Acute Toxicity Modeling Suite
by
Sheils, Timothy
,
Clark, Alex M.
,
Wilson, Dan
in
Acute toxicity
,
Animals
,
Artificial intelligence
2021
Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management. However, it is cost- and time-prohibitive to evaluate all new and existing chemicals using traditional rodent acute toxicity tests.
models built using existing data facilitate rapid acute toxicity predictions without using animals.
The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organized an international collaboration to develop
models for predicting acute oral toxicity based on five different end points: Lethal Dose 50 (
value, U.S. Environmental Protection Agency hazard (four) categories, Globally Harmonized System for Classification and Labeling hazard (five) categories, very toxic chemicals [
(
)], and nontoxic chemicals (
).
An acute oral toxicity data inventory for 11,992 chemicals was compiled, split into training and evaluation sets, and made available to 35 participating international research groups that submitted a total of 139 predictive models. Predictions that fell within the applicability domains of the submitted models were evaluated using external validation sets. These were then combined into consensus models to leverage strengths of individual approaches.
The resulting consensus predictions, which leverage the collective strengths of each individual model, form the Collaborative Acute Toxicity Modeling Suite (CATMoS). CATMoS demonstrated high performance in terms of accuracy and robustness when compared with
results.
CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for
rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemicals have been made available via the National Toxicology Program's Integrated Chemical Environment tools and data sets (ice.ntp.niehs.nih.gov). The models are also implemented in a free, standalone, open-source tool, OPERA, which allows predictions of new and untested chemicals to be made. https://doi.org/10.1289/EHP8495.
Journal Article