Articles tagged with Data Points
A section of northwestern Harris County is sinking rapidly due to groundwater withdrawal and subsidence. Researchers analyzed GPS data over a decade, finding that some areas sink up to 5.5 cm/year.
A University of Utah computer scientist has devised a new method to simplify and speed up data mining, allowing for the analysis of high-dimensional data. The new approach can handle larger datasets than previous methods, making it useful for various applications in natural and social sciences.
A new study has identified a key role for adrenal glucocorticoids in resetting the internal body clock, a finding that could lead to new treatments for jet lag. The research also highlights the importance of timing and location in regulating circadian rhythms.
Tropical Storm 23S has formed over the Southern Indian Ocean with maximum sustained winds of 39 mph. The storm is expected to strengthen and intensify over the weekend before being affected by a mid-latitude trough, potentially weakening it.
Two university students work with CSIRO to bring tiny FLECK Nano sensors indoors, tracking temperature and power use of small objects. The goal is to create a pervasive computing system for everyday office items, monitoring environmental conditions and wireless data transmission.
Researchers developed an innovative technique, Intelligent Outlier Detection Algorithm (IODA), to detect errors in sensitive technological systems. The algorithm can identify faulty readings or problems associated with failing sensors and isolate bad data.
A study found that nearly 80 high-risk cardiovascular devices received FDA approval based on data from a single study, highlighting the need for high-quality research. The review of 123 summaries of safety and effectiveness data revealed discrepancies between enrolled and analyzed patients, which may introduce bias.
Investors tend to view stocks with shorter up-and-down movements as less risky, a phenomenon known as the 'run-length effect'. This bias is influenced by education level and trading experience, leading to systematic biases in risk perceptions that can impact market prices.
The TDRS project has received approval to proceed with the implementation phase of its mission, enabling NASA to build more spacecraft needed to support missions. The next milestone is a critical design review scheduled for January 2010, which will examine detailed aspects of the TDRS spacecraft and system.
The Wellcome Trust validated the Faculty of 1000's assessment model through a study analyzing over 900 publications. The scores from both models showed high agreement, highlighting the value of post-publication peer review. However, the study also emphasized that merit cannot be judged solely by citation scores.
A meta-analysis of surveys suggests that altering or making up data is more frequent than previously estimated, particularly in medical research. Up to 14% of respondents knew someone who had fabricated or falsified data, and up to 72% knew someone who had committed other questionable practices.
A GIS-driven digital map pinpointed malaria outbreak hotspots in Madhya Pradesh, leading to a 5% reduction in cases. The system enabled timely preventive action and dynamic data updating, highlighting the effectiveness of electronic monitoring and mapping in malaria management.
A NASA experiment has successfully 'hindcasted' the path of Cyclone Nargis, which killed over 135,000 people in 2008. The new data integration and mathematical modeling approach uses satellite imagery and atmospheric profiles to provide multi-day advance warnings for cyclones in the Indian Ocean.
Researchers modeled West Antarctic ice sheet's past movements and found it collapsed and regrew multiple times due to ocean warming. The study uses deep sea oxygen isotope ratios to deduce Antarctic temperature changes and suggests the ice sheet may collapse if ocean temperatures warm sufficiently.
Researchers developed a technique to extract body shape components from 3D data, classifying trunk shapes into five types. The study aims to improve clothing fit, comfort, and safety, with potential implications for body image disorders and ergonomics.
Research shows Irish children's average weight has increased by 24 kilos since 1948, with growth rates accelerating in the 1970s. The study, published in Journal of Epidemiology and Community Health, suggests current economic downturn may exacerbate obesity trends.
The CarTel project uses a network of mobile sensors to monitor traffic conditions and provide drivers with real-time information on congestion and potential engine problems. By analyzing data from multiple vehicles, the system can identify historical and current traffic patterns, enabling more efficient routing and reducing commute times.
Researchers at Florida Atlantic University have developed a Probabilistic Voting-based Filtering Scheme to protect WSNs against fabricated reports with false votes and false validation votes. This scheme can detect compromised sensors in real-time, minimizing false alarms and wasteful response efforts.
A US study found numerous errors in the testing process at family medicine clinics, with adverse consequences more common for minority patients. The research highlights the need for office-by-office improvements to mitigate these errors and reduce harm.
A team of Dartmouth researchers is launching the Dartmouth Internet Security Testbed (DIST) to examine live network activity and develop methods for detecting malicious activity. The project will provide valuable insights into securing wireless networks, improving network security technology and practices for all internet users.
Researchers demonstrated the vulnerability of Skyhook's WiFi Positioning System (WPS) to location spoofing attacks, exploiting forged MAC addresses and jamming access point signals to create an illusion of a different physical location.
A recent study found that state Medicaid statistics significantly underreported prenatal syphilis screening rates, with only half of eligible women having evidence recorded. The study suggests that analyses relying solely on Medicaid data may not provide an accurate picture of screening rates nationwide.
Researchers at NIST have developed a novel technique for measuring surface roughness, which could lead to more accurate models of deformation and lower tooling costs. The new method uses data from a scanning laser confocal microscope and challenges the traditional linear relationship between surface roughness and material deformation.
The Swiss Experiment brings together experts to tackle climate change, natural hazards, and sustainable resource use with innovative data collection and analysis. The project aims to improve models predicting floods, avalanches, and landslides, while documenting environmental degradation and change.
A lack of reliable national statistics on births, deaths, and causes of death hinders global health development. The authors of a recent study found that only a few developing countries have improved their civil registration systems in the past 50 years.
A new class of computational methods, called LoCoH (local convex hull) methods, has been developed to construct distributions of where monitored organisms are most likely to be found in space and time. These methods have proven especially useful in evaluating the spatial needs of threatened species and designing parks to conserve them.
A new probability model designed by Stanford University geophysicists weaves together data from Global Positioning System (GPS) and the geological record to estimate fault movement rates. This time-dependent model reconciles the discrepancy between GPS-paleoseismology data, providing a more accurate picture of slip rates.
The National Institute of Standards and Technology (NIST) is developing advanced sensor processing algorithms to help robot forklifts verify the location and orientation of pallets laden with goods. The experimental system utilizes two onboard LADAR devices to negotiate obstacles and hone in on warehouse pallets.
A new mathematical method provides a better way to analyze noise by visualizing areas with no sound. Researchers credit this approach for its ability to tease out specific sounds from complex white noise.
A research team, led by Yoshitomi Okura, is returning to Mount McKinley for the fifth time to collect data on the mountain's extreme winds. The team is equipped with two anemometers, a standard and ultrasonic device, to measure wind speed and sensor accuracy.
A new software developed by Ohio State University's Noel Cressie and his colleagues can fill in missing data on satellite images with remarkable speed and accuracy. The software uses statistical techniques, including Bayesian analysis, to weight available data and calculate missing values at different image resolutions.
The new version of GenMAPP 2.0 incorporates various features to organize and analyze gene expression data on biological pathways, including a flexible format accepting multiple gene ID systems and species-specific databases. This update complements hierarchical clustering methods and enables convenient display of data on web sites.
The simulation reveals how tsunamis strike coastlines with devastating force, deforming sea water and affecting the earth's surface. The Cornell Multigrid Coupled Tsunami model, or COMCOT, calculates sea surface elevation based on earthquake data and topography.
The National Institute of Standards and Technology (NIST) has released a new collection of critically evaluated phase diagrams, improving search capabilities and reducing design errors. The ACerS-NIST collaboration saves research time and money by providing reliable data.
Researchers have confirmed that atmospheric carbon dioxide levels were between 10-200 times higher 1.4 billion years ago than they are today. The discovery provides a geological context for CO2 evolution and climate change.
According to Lawrence R. Rabiner, voice control will become as accurate and efficient as keyboard or mouse input, allowing for a new era of human-machine interaction. Devices will be network accessible and controllable from anywhere, blurring the lines between work life and home life.
A new method, KL clustering, has been identified as more effective than hierarchical clustering in separating gene expression data into dense clusters. The approach uses a novel measure of similarity to create well-separated clusters, offering insights into gene-gene interactions and biological processes.
ColorBrewer is a free web-based tool that enables users to select from various color schemes for their maps. The tool offers sequential, diverging, and qualitative schemes, allowing users to test and refine their choices. Additionally, ColorBrewer provides detailed color specifications for printing, projection, or web display.
A Scripps Institution of Oceanography study reveals a significant warming trend in the Southern Ocean over the last 50 years, with temperatures rising nearly double the global average. The research suggests that this region may be responding more rapidly to climate change than previously thought.
Penn State meteorologists have combined weather data from airports, weather stations and sensors to create a more detailed picture of weather conditions in the state. The project aims to provide real-time displays of observations and user-specific products for various industries, including agribusiness and the power industry.
A study of nearly 10,000 participants aged 51-62 found that problem drinkers were 33% more likely to report limitations in work or home functions. Heavy drinking was also associated with increased disability incidence, especially among those without a prior problem drinking history.
The TRANSMAP system combines land and marine data to provide real-time information on road conditions and weather forecasts. It allows users to view current and historic data from multiple sensors, as well as overlay maps from the state's Geographic Information System.
Researchers at Dartmouth/VA reveal that operative mortality for major surgery varies significantly by procedure and patient age. Elderly patients face two- to four-fold higher mortality risks than younger patients, highlighting the need for more realistic estimates in decision-making.
Researchers analyzed data from electronic tags on Atlantic bluefin tuna, revealing significant insights into their migrations, diving patterns, and environmental preferences. The study found that Atlantic bluefin tuna often travel throughout the North Atlantic, with some individuals migrating between two distinct breeding populations.