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Geisel study offers new insights into how Medicare fraud has spread across U.S. regions in recent years

A study by Dartmouth's Geisel School of Medicine found that Medicare fraud in home healthcare billing spread rapidly across U.S. regions between 2002 and 2009, driven by characteristics such as shared patients, high expenditures, and rapid growth in the number of home health agencies. The researchers developed a novel network analysis ...

SourceThe Geisel School of Medicine at Dartmouth·JournalSocial Science & Medicine·TypeData/statistical analysis·DateJun 8, 2023

What made the brightest cosmic explosion of all time so exceptional?

Astrophysicists explain the Brightest of All Time (BOAT) cosmic explosion, revealing a narrow jet embedded within a wider gas outflow. The GRB's uniqueness was due to mixing between stellar material and the jet, masking characteristic signatures.

SourceUniversity of Bath·JournalScience Advances·TypeData/statistical analysis·DateJun 7, 2023

Order in chaos: Atmosphere’s Antarctic oscillation has natural cycle

Scientists at Rice University found a natural 150-day cycle in the north-south oscillation of atmospheric pressure patterns, influencing hemispheric-scale precipitation and ocean surface wind stress. This discovery challenges conventional wisdom about atmospheric organization and has implications for climate modeling.

SourceRice University·JournalAGU Advances·TypeData/statistical analysis·DateJun 6, 2023

Little-known microbes could help predict climate tipping points

Researchers at Duke University have identified a climate feedback loop that could accelerate climate change. Monitoring mixotrophs, tiny organisms with dual metabolism modes, may allow us to anticipate the tipping point before it gets there. However, nutrient pollution poses a challenge to detecting early warning signals.

SourceDuke University·JournalFunctional Ecology·TypeComputational simulation/modeling·DateJun 1, 2023
Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Cell phone data from winter snowstorm shows Dallas is resilient

Researchers at SMU measured Dallas's resilience using anonymous cell phone data before, during, and after the February 2021 North American winter storm. The study found that Dallas recovered almost immediately after the winter storm ended, indicating a great degree of resilience among its residents.

SourceSouthern Methodist University·JournalRoyal Society Open Science·TypeComputational simulation/modeling·DateMay 23, 2023

Texas A&M team studying effects of crypto mining on Texas power grid

A Texas A&M team is studying the impact of cryptocurrency mining on the state's power grid, revealing a potential for demand flexibility during times of peak energy usage. The research suggests that when the grid is stressed due to heatwaves or other factors, cryptocurrency miners can shut down, providing a buffer against strain.

SourceTexas A&M University·JournalAdvances in Applied Energy·DateMay 22, 2023

How the military could speed helicopter operations on the battlefield

Researchers developed a mathematical model that accounts for variables such as helicopter resources and operational range to optimize air movement tasks. The model can perform planning functions in under an hour, saving commanders three to five hours compared to traditional methods.

SourceNorth Carolina State University·JournalJournal of Defense Analytics and Logistics·TypeComputational simulation/modeling·DateMay 22, 2023
AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

Extracting the best flavor from coffee

A study published in Physics of Fluids reveals that uneven extraction in coffee brewing can result in weaker espresso and affect its taste. The researchers found that a positive feedback loop between flow and extraction leads to more bitter flavors, making it essential to understand the origin of uneven extraction.

SourceAmerican Institute of Physics·JournalPhysics of Fluids·DateMay 9, 2023

Mathematical model based on psychology predicts who will buy trendy products

A new study developed a mathematical innovation model grounded in psychology to predict adoption trends for new products. The model divides people into four categories: innovator, early adopter, majority, and laggard, and suggests that each group looks for specific properties of adoption trends to inform their purchasing decisions.

SourceFlorida Atlantic University·JournalPhysica A Statistical Mechanics and its Applications·TypeComputational simulation/modeling·DateMay 8, 2023

Solving computationally complex problems with probabilistic computing

Researchers demonstrate probabilistic computing's capabilities by simulating networks of stochastic nanodevices to solve specific NP problems. The simulations agree with theoretical solutions, indicating the potential for scaling up this approach.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Photonics for Energy·DateApr 28, 2023

Mixing theory, observation to envision warmer world

Researchers combine theory and observation to understand damselfly responses to warming temperatures, discovering a more realistic predator-prey simulation model. This work provides groundwork for understanding how other species will adapt to a warmer world, particularly species like mosquitoes.

SourceMichigan State University·JournalProceedings of the Royal Society B Biological Sciences·DateApr 25, 2023
Celestron NexStar 8SE Computerized Telescope

Celestron NexStar 8SE Computerized Telescope combines portable Schmidt-Cassegrain optics with GoTo pointing for outreach nights and field campaigns.

Want to make better materials? Read between the lines. Or the “grain boundaries,” as they’re known in materials science.

A team of scientists created a mathematical model that accurately describes microstructures by integrating data from highly magnified images taken during experiments. The findings provide insight into how microstructures change at high temperatures and have implications for the development of new materials.

SourceLehigh University·Journalnpj Computational Materials·TypeComputational simulation/modeling·DateApr 21, 2023

The Mathematics of Cell Boundary 'Ruggedness'

The study, led by Professor Takashi Miura of Kyushu University, has discovered that interdigitated cell boundaries have a mathematically scaling pattern with self-similarity. The team used the Edwards-Wilkinson model to simulate and understand the molecular mechanism responsible for these dynamics.

SourceKyushu University·JournaliScience·TypeExperimental study·DateApr 21, 2023

Want better kimchi? Make it like the ancients did

Researchers found that traditional handmade clay jars, called onggi, ferment kimchi faster and produce more beneficial bacteria due to their unique porous structure. The study highlights the connection between the earthenware's material properties and the fermentation process, providing new insights into ancient technology.

SourceGeorgia Institute of Technology·JournalJournal of The Royal Society Interface·TypeExperimental study·DateApr 12, 2023

Prestigious EU support to save species

The Norwegian University of Science and Technology has been awarded a €2.5 million grant from the European Research Council to investigate how species can survive in a changing environment. The project aims to develop rules for preventing species extinction and studying adaptation to environmental changes.

SourceNorwegian University of Science and Technology·DateMar 30, 2023

To uncover new fluid flow laws, researchers turn to drinking straws

A team of researchers has discovered new laws governing fluid flow through experiments on drinking straws, defying previously known resistance laws. The findings have promise for improving fluid handling in medical and engineering applications.

SourceNew York University·JournalJournal of Fluid Mechanics·TypeExperimental study·DateMar 23, 2023
Fluke 87V Industrial Digital Multimeter

Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.

Simplified calculations reproduce complex plasma flows

A new mathematical model predicts turbulence and heat transport in fusion plasmas with high accuracy, approximately 1,500 times faster than conventional large-scale nonlinear calculations. This breakthrough accelerates fusion research and expands the range of applicability.

SourceNational Institutes of Natural Sciences·JournalScientific Reports·TypeComputational simulation/modeling·DateMar 23, 2023

Hitchhiker plants inspire improved techniques for reattaching tendon to bone

Researchers developed a new approach to suturing based on the mechanics and spacing of a hitchhiker plant's attachment system, promising to balance forces across sutures and reduce failure rates in surgical procedures. The findings were published in Proceedings of the Royal Society A.

SourceWashington University in St. Louis·JournalProceedings of the Royal Society A Mathematical Physical and Engineering Sciences·DateMar 14, 2023
Sony Alpha a7 IV (Body Only)

Sony Alpha a7 IV (Body Only) delivers reliable low-light performance and rugged build for astrophotography, lab documentation, and field expeditions.

What if California didn’t close down during the pandemic?

Researchers developed an economic-epidemiological model to assess the impact of no closures. The study found that California's unemployment rate would have been lower, but deaths and hospitalizations from COVID-19 would have increased significantly, exacerbating current inequities.

SourceCalifornia Academy of Sciences·JournalFrontiers in Physics·TypeComputational simulation/modeling·DateMar 9, 2023

New models accurately simulate the behavior of sea ice

Researchers have developed a new sea ice model that can analyze the size and thickness of individual ice floes and their motion in greater detail. This allows for more precise predictions about their behavior, especially in areas where climate change has led to an increase in loose sea ice.

SourceOtto-von-Guericke-Universität Magdeburg·DateMar 9, 2023

News you can use—to better predict food crisis outbreaks

A new machine learning model developed by NYU researchers can predict food crises up to 12 months in advance by analyzing news articles and their frequency. The model shows a high correlation between news coverage and on-the-ground occurrences of risk factors, indicating its potential as an early-warning system.

SourceNew York University·JournalScience Advances·TypeComputational simulation/modeling·DateMar 3, 2023
Meta Quest 3 512GB

Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.

Tumour cells’ response to chemotherapy is driven by randomness

Tumour cells exhibit an innate randomness in their ability to respond to chemotherapy, which can lead to resistance. Researchers identified a marker for resistance and propose combining chemotherapy with drugs targeting this 'noise' to improve treatment outcomes.

SourceGarvan Institute of Medical Research·JournalScience Advances·TypeExperimental study·DateMar 3, 2023

Stick to your lane: Hidden order in chaotic crowds

Researchers at the University of Bath developed a new theory that unifies conflicting viewpoints on lane formation, predicting curved and straight lanes in crowded spaces. The study reveals a new class of structures in daily life that may go unnoticed.

SourceUniversity of Bath·JournalScience·TypeComputational simulation/modeling·DateMar 2, 2023

‘Swarmalators’ better envision synchronized microbots

Researchers at Cornell University developed a new model called swarmalators, which can simulate swarming behaviors and synchronized timing in microrobots. The model mimics diverse emergent phenomena, such as aggregation, dispersion, and vortices, and can be used for precision medicine and drone applications.

SourceCornell University·JournalNature Communications·DateMar 1, 2023

New mathematical model shows promising results for prostate cancer treatment

A new mathematical model has been developed to optimize treatment for prostate cancer, showing promising results in eliminating cancer cells. The model explores different therapeutic strategies, including single drugs and drug combinations, and suggests that alternating therapies could significantly improve cancer treatment.

SourceUniversity of Portsmouth·JournalMathematical Biosciences·TypeComputational simulation/modeling·DateMar 1, 2023

Targeting wealth managers would cripple Russia's oligarchs

A new study by Dartmouth College researchers finds that sanctions on wealth managers would be more effective than asset seizure in crippling Russia's oligarchs. The research uses network science to map the connections between wealthy individuals and their financial experts, revealing a vulnerable network that can be disrupted with targ...

SourceDartmouth College·JournalPNAS Nexus·TypeData/statistical analysis·DateFeb 28, 2023
SAMSUNG T9 Portable SSD 2TB

SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.

Researchers’ model for TV ad scheduling reaps revenue increase for networks

A team of researchers from Rensselaer Polytechnic Institute has developed a system to optimize TV ad scheduling, resulting in a 3-5% revenue increase for networks. The model combines mathematical programming and machine learning to assign ads to specific breaks and positions.

SourceRensselaer Polytechnic Institute·JournalOperations Research·TypeComputational simulation/modeling·DateFeb 28, 2023

Physicists create new model of ringing black holes

Researchers have developed a new model of black hole collisions that reveals nonlinear effects in gravitational waves, allowing for more accurate modeling of the behavior. This breakthrough has significant implications for understanding black hole collisions observed by LIGO and testing Einstein's general theory of relativity.

SourceCalifornia Institute of Technology·JournalPhysical Review Letters·DateFeb 21, 2023

Using sewage to forecast COVID-19 infections

A new mathematical model uses wastewater samples to predict COVID-19 cases five days in advance, detecting SARS-CoV-2 RNA with high sensitivity. The approach could help authorities tailor infection control policies when clinical surveillance is lacking.

SourceHokkaido University·JournalEnvironment International·TypeData/statistical analysis·DateFeb 20, 2023
Aranet4 Home CO2 Monitor

Aranet4 Home CO2 Monitor tracks ventilation quality in labs, classrooms, and conference rooms with long battery life and clear e-ink readouts.

Understanding Japan’s earthquakes: New insight into the relationship between slow slip events and the build-up and release of tectonic strain

Researchers investigated the relationship between slow slip events and tectonic strain in Japan's Bungo Channel, Tokai, and Boso-Oki regions. They found that not all accumulated strain is released during SSEs, but rather builds up in shallower areas before a megathrust earthquake can occur.

SourceKobe University·JournalScientific Reports·TypeData/statistical analysis·DateFeb 10, 2023

MU researcher studies childhood obesity prevention programs in rural schools

A recent study by Crystal Lim found that obesity prevention programs combining nutrition and exercise components over an extended period had the most success in changing students' daily behaviors. Successful programs also included evidence-based strategies like goal setting, problem solving, and self-regulation techniques.

SourceUniversity of Missouri-Columbia·JournalJBI Evidence Synthesis·TypeLiterature review·DateFeb 9, 2023

Algorithms for hiring: Bias in, bias out

Researchers tested three common techniques to make algorithms fairer and found that one approach didn't reduce social norm bias at all. They proposed a new technique: a formula to directly measure social norm bias in an algorithm so it can be corrected. This bias can persist even after overt discrimination is removed.

SourceUniversity of Texas at Austin·JournalData Mining and Knowledge Discovery·TypeData/statistical analysis·DateFeb 8, 2023
GoPro HERO13 Black

GoPro HERO13 Black records stabilized 5.3K video for instrument deployments, field notes, and outreach, even in harsh weather and underwater conditions.

Researchers take a step toward novel quantum simulators

Scientists at Stanford University and SLAC National Accelerator Laboratory have made progress toward building a novel quantum simulator. The device can simulate interactions between two quantum objects, paving the way to study complex systems and answer fundamental questions in physics.

SourceDOE/SLAC National Accelerator Laboratory·JournalNature Physics·TypeExperimental study·DateJan 31, 2023

New mathematical model shows how the body regulates potassium

A new mathematical model simulates how the body regulates potassium levels, shedding light on the relationship between kidneys and muscles. The study suggests that muscle-kidney cross-talk signal hypothesis is essential in maintaining healthy potassium homeostasis.

SourceUniversity of Waterloo·JournalPLOS Computational Biology·DateJan 30, 2023

COVID calculations lead to unexpected solution to long-standing problem in theoretical computer science

A UAB researcher discovered a new definition of Petri nets that reconciles two longstanding mathematical approaches, allowing for the reconciliation of geometric and algebraic semantics. This breakthrough has been used in epidemiological modeling, including COVID-19 research.

SourceUniversitat Autonoma de Barcelona·JournalJournal of the ACM·TypeComputational simulation/modeling·DateJan 27, 2023
GQ GMC-500Plus Geiger Counter

GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.

Aston University creates world first computational reconstruction of a virus in its biological entirety

Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.

SourceAston University·JournalFaraday Discussions·TypeComputational simulation/modeling·DateJan 20, 2023

Sequential antibiotic therapy in the laboratory and in patients

Laboratory experiments show rapid antibiotic switches can prevent resistance, with collateral-sensitive drug pairs suitable for therapy. However, environmental conditions in patients differ from labs, and natural degradation affects treatment.

SourceMax-Planck-Gesellschaft·JournalJournal of The Royal Society Interface·TypeComputational simulation/modeling·DateJan 18, 2023

A new “digital twin” of laser-directed energy deposition repair technology

A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.

SourceTokyo University of Science·JournalJournal of Thermal Spray Technology·TypeComputational simulation/modeling·DateJan 12, 2023

São Paulo to host advanced school in epidemic preparedness

The São Paulo School of Advanced Science on Epidemic Preparedness will bring together researchers from various fields to discuss core tracks such as mathematical modeling, genomics, epidemiological surveillance, and public health policies. Participants will engage in simulated situation rooms and hands-on experience with leading faculty.

SourceFundação de Amparo à Pesquisa do Estado de São Paulo·DateJan 11, 2023
Sky-Watcher EQ6-R Pro Equatorial Mount

Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.

Rensselaer researchers work to avoid future FTX debacles

Researchers at Rensselaer Polytechnic Institute developed a model to predict cryptocurrency scams using Benford's Law and found that scam addresses deviated from the law. They also advocated for robust blockchain interoperability to provide stability in decentralized systems.

SourceRensselaer Polytechnic Institute·TypeData/statistical analysis·DateJan 10, 2023

Mathematical model predicts long-term effectiveness of COVID-19 vaccine booster doses in different patient populations

A mathematical model predicts the long-term effectiveness of COVID-19 vaccine booster doses in various patient populations, including those with healthy immune systems and cancer patients. The model suggests that robust antibody-based responses can be achieved through booster doses, but may wane quickly in immunosuppressed individuals.

SourceMassachusetts General Hospital·JournalProceedings of the National Academy of Sciences·TypeComputational simulation/modeling·DateJan 9, 2023

Researchers propose a more effective method to predict floods

A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...

SourceXi'an Jiaotong-Liverpool University·JournalJournal of Hydrology·TypeComputational simulation/modeling·DateJan 9, 2023

A CNIC study shows that cells possess 2 mechanisms to allow them to respond to different force ranges

The CNIC study reveals two distinct mechanisms by which cells detect and respond to forces of varying strength, one mediated by caveolae and the other by newly discovered dolines. This finding has significant implications for understanding pathological processes such as atherosclerosis and neurodegenerative diseases.

SourceCentro Nacional de Investigaciones Cardiovasculares Carlos III (F.S.P.)·JournalNature Cell Biology·TypeExperimental study·DateJan 2, 2023

A mathematical model shows a global trend towards mutualism between species

A new mathematical model has found a clear trend towards mutualism in ecological interactions, with most relationships eventually leading to a mutually beneficial partnership. The researchers used adaptive dynamics and classical models of population dynamics to study the transitions between different ecological relationships.

SourceUniversidad Carlos III de Madrid·JournalPhysical Review·TypeComputational simulation/modeling·DateDec 21, 2022
Kestrel 3000 Pocket Weather Meter

Kestrel 3000 Pocket Weather Meter measures wind, temperature, and humidity in real time for site assessments, aviation checks, and safety briefings.

Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics

Researchers from Brown and MIT developed a new framework that uses machine learning and sequential sampling to predict rare disasters like earthquakes and pandemics with less data. The framework, called DeepOnet, has been shown to outperform traditional modeling efforts in predicting scenarios, probabilities and timelines of rare events.

SourceBrown University·JournalNature Computational Science·TypeComputational simulation/modeling·DateDec 19, 2022

Finding simplicity within complexity

A University of Houston researcher has developed a method to describe complex systems using the least number of variables possible, reducing complexity from millions to just one. This advancement speeds up science with efficiency and ability to understand and predict natural system behavior.

SourceUniversity of Houston·JournalNature Machine Intelligence·DateDec 8, 2022

Math approach may make drug discovery more effective, efficient

Researchers at the University of Texas at Dallas have developed a computer-based platform for drug discovery using topological data analysis. The approach allows for virtual screening of thousands of compound candidates, narrowing them down to the most promising ones for laboratory and clinical testing.

SourceUniversity of Texas at Dallas·TypeComputational simulation/modeling·DateNov 28, 2022

Powerful new tool to advance genomics, disease research

UVA researchers developed a new tool to analyze genetic data, reducing noise and bias in cancer diagnosis. The tool uses mathematical modeling to identify patterns in chromatin, helping scientists detect tiny numbers of disease cells.

SourceUniversity of Virginia Health System·DateNov 22, 2022

SUTD researchers developed phase-change key for new hardware security

Researchers at Singapore University of Technology and Design (SUTD) have developed a novel phase-change key for new hardware security. The device, known as the physical unclonable function (PUF), is scalable, energy-efficient, and secure against AI attacks compared to traditional silicon PUFs.

SourceSingapore University of Technology and Design·JournalAdvanced Science·DateNov 17, 2022
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)

Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.

New study suggests evolutionary forces are behind collective discrimination

A new study published in Collective Intelligence journal suggests that evolutionary forces may be fueling collective tendencies to discriminate. The research recommends fostering environments where desired behavior emerges naturally through evolutionary dynamics rather than regulating against undesired outcomes.

SourceMIT Sloan School of Management·JournalCollective Intelligence·TypeComputational simulation/modeling·DateNov 10, 2022

A skewed model for imbalanced health data

Researchers at KAUST develop a novel multivariate skew-elliptical link model to address the challenges of highly imbalanced health data. The new model provides a better fit to COVID-19 datasets and offers flexibility over existing models.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalBiometrics·DateNov 8, 2022

How cells find the right partners

Researchers found that the Eya protein regulates cell contact behavior, allowing for self-organization of epithelial cells with nurse cells. This mechanism enables complex development processes, including egg chamber formation and sperm cell development, in Drosophila.

SourceUniversity of Freiburg·JournalNature Communications·DateNov 2, 2022