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Revealing the complex magnetization reversal mechanism with topological data analysis

A team of researchers from Tokyo University of Science developed a super-hierarchical and explanatory analysis method for magnetic reversal processes, enabling the detection of subtle microscopic changes. The new algorithm can predict stable/metastable states in advance and improve the reliability of spintronics devices.

SourceTokyo University of Science·JournalScience and Technology of Advanced Materials Methods·TypeComputational simulation/modeling·DateDec 12, 2022

Satellites capture massive drainage of proglacial lake in remote Patagonia

Researchers from Hokkaido University used satellite images to observe the sudden drainage of proglacial lake Lago Greve in Chilean Patagonia, resulting in a 18-meter drop in water level and a loss of 3.7 cubic kilometers of water. The study suggests that the cause was the collapse of a sediment bump at the lake's outlet, highlighting t...

SourceHokkaido University·JournalCommunications Earth & Environment·TypeImaging analysis·DateOct 3, 2022

Sixty-third supplement to the AOS check-list of North American birds publishes today in ornithology

The Sixty-third Supplement to the Check-list of North American Birds updates bird classifications, including meadowlark species splits, hummingbird recognitions, kite separations, and the addition of a giant-petrel. New subspecies are also recognized for some bird species, reflecting advances in genetic analysis.

SourceAmerican Ornithological Society Publications Office·JournalOrnithology·TypeNews article·DateAug 3, 2022

Let machines do the work: Automating semiconductor research with machine learning

Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.

SourceTokyo University of Science·JournalScience and Technology of Advanced Materials Methods·TypeExperimental study·DateJun 16, 2022

Classification of 16 adult sleep patterns based on large-scale sleep analysis

Researchers developed an algorithm to classify 16 distinct adult sleep patterns based on arm acceleration data from 100,000 UK Biobank participants. These patterns can be used to diagnose insomnia and develop personalized treatment methods, offering new insights into human sleep behavior.

SourceJapan Science and Technology Agency·JournalProceedings of the National Academy of Sciences·TypeData/statistical analysis·DateMar 31, 2022

Study shows discrepancy in 'hookup culture' sexual activity on dates

A recent study from the University of Kansas found that college students' self-reported attitudes towards sex on dates do not match their actual behavior. When men initiated dates, sex was more restricted than when women asked for a date. In contrast, female-initiated dates saw genital contact occurring on 63% of occasions, while tradi...

SourceUniversity of Kansas·JournalSexuality & Culture·TypeData/statistical analysis·DateFeb 3, 2022

The Estée Lauder Companies publishes methodology to drive sustainable cosmetics innovation & strengthen environmental, social and governance commitments

The Estée Lauder Companies has released its Green Score methodology to assess and measure the sustainability of ingredients and formulas based on green chemistry principles. The approach uses a quantitative tool to evaluate human health, ecosystem health, and environmental impact across its product portfolio.

SourceThe Estee Lauder Companies R&D·JournalGreen Chemistry·TypeData/statistical analysis·DateDec 8, 2021

News on fine cocoa flavor

Scientists at TUM and LSB developed a new methodology to quantify the flavor profile of cocoa samples. The method provides quantitative data on 66 taste-decisive substances using a single mass spectrometric platform, allowing analysis of 200 samples per week.

SourceTechnical University of Munich (TUM)·JournalJournal of Agricultural and Food Chemistry·DateSep 17, 2021

Do heart medications affect COVID-19 outcomes?

Researchers analyzed all relevant COVID-19 studies to determine if cardiovascular drugs affect disease severity, hospitalizations, and deaths. The study found that patients with COVID-19 should continue taking their prescribed cardiovascular medications.

SourceWiley·JournalBritish Journal of Clinical Pharmacology·DateJul 6, 2021

Student teams use O.R. and analytics to help GM introduce new autonomous vehicles to fleet

In the INFORMS O.R. & Analytics Student Team Competition, student teams from around the world used operations research (OR) and analytics to optimize autonomous vehicle delivery processes for General Motors. The winning team from Korea Advanced Institute of Science and Technology minimized total costs while satisfying all constraints.

Student teams compete to create equity portfolios with analytics and operations research

The Hebrew University of Jerusalem team won the second annual O.R. & Analytics Student Team Competition by successfully applying analytics and operations research to create a high-performing equity portfolio. The competition challenges students to develop solutions to real-world problems, providing valuable experience that sets them ap...

SAGE Ocean announces its first ever concept grant winners

The SAGE Ocean Concept Grant Program has awarded over $100,000 in funding to support the development of new tools that enable social scientists to work with big data. The winners include Quanteda Studio, MiniVAN, and Digital DNA Toolbox, which aim to make text analytics and network analysis more accessible to non-specialist researchers.

SourceSAGE·DateMar 29, 2018

Student team competition provides real-world experience for O.R. and analytics students

Eight student teams from around the world competed in the inaugural INFORMS O.R. and Analytics Student Team Competition, tasked with solving a challenging problem using an O.R. and analytics approach. The finalists were selected based on their use of the full analytics process, from framing the problem to quantitative analysis.

Relationships hold key to spiritual care

Researchers found that relationships are a crucial factor in spirituality, with 87% of patients considering spirituality important in their lives. The study recommends focusing on presence, journeying together, and engaging in reciprocal sharing to improve spiritual care.

SourceSAGE Publications UK·JournalPalliative Medicine·DateJul 23, 2010

First-Of-A-Kind Study By University Of Georgia Ecologist Estimates Role Of Natural Forces On Insect Populations

A University of Georgia ecologist has estimated the relative importance of predation and plant quality on insect populations using time-series analysis. The study found that top-down forces regulate winter moth populations, while bottom-up forces dominate green oak leaf roller moth populations.

SourceUniversity of Georgia·JournalProceedings of the National Academy of Sciences·DateAug 13, 1997