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Categories: Anthropology: Cultures, Mathematics: Modeling

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Mathematical research brings new understanding of crowd formation and behavior.

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A new study finds that high school students identify more with math if they see their math teacher treating everyone in the class equitably, especially in racially diverse schools. While the relationship between teacher equity and math identity was evident across races, there was an interesting exception. Black students, in general, had strong math identities, regardless of their teacher's actions.  Learning about the factors that affect student math identity is important because a student's attitude towards the subject influences the courses that they take as well as their future career selections. This study suggests that teachers may have a larger role to play in helping students develop a positive math identity than previously recognized.

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An international team of researchers analyzed the genomes of 180 indigenous Africans from a dozen ethnically, culturally, linguistically, and geographically diverse populations. The results shed light on the origin of modern humans, historical migrations, linguistic evolution, and local adaptation, and lay the groundwork for more people to benefit from precision medicine.

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A large Bronze Age debris deposit in Mycenae, Greece provides important data for understanding the history of animal resources at the site, according to a new study.

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Large-scale genomic analysis documents the migrations of Ice Age hunter-gatherers over a period of 30,000 years -- they took shelter in Western Europe but died out on the Italian peninsula.

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A new study reports on genomic data from a 23,000-year-old individual who lived in what was probably the warmest place of Europe at the peak of the last Ice Age. The oldest human genome recovered from the southern tip of Spain adds an important piece of the puzzle to the genetic history of Europe.

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Researchers test cognitive abilities of the language model GPT-3.

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Researchers have discovered what they believe is the earliest use of steel in Europe -- on Iberian stone pillars from the Final Bronze Age.

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A new machine learning model can predict traffic activity in different zones of cities. To do so, a researcher used data from a main car-sharing company in Italy as a proxy for overall city traffic. Understanding how different urban zones interact can help avoid traffic jams, for example, and enable targeted responses of policy makers -- such as local expansion of public transportation.

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Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.

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High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges. Now, these tasks can be carried out using MoBIE, which stands for Multimodal Big Image Data Exploration, a new user-friendly, freely available tool. This means that researchers such as biologists, who rely on high-resolution microscopy techniques, can incorporate multiple data sets to study the processes of life at the very smallest scales.

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Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.

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Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers. Digital markers refer to variables generated from data captured through recording devices in the real-world setting. These data could be processed to measure driving behavior, performance and tempo-spatial pattern in exceptional detail.

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Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

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A new study explores 'balancing selection' by analyzing thousands of modern human genomes alongside ancient hominin groups, such as Neanderthal and Denisovan genomes. The research has 'implications for understanding human diversity, the origin of diseases, and biological trade-offs that may have shaped our evolution,' says evolutionary biologists.

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Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a research team that conducted a study to directly examine the phenomenon.

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Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.

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Researchers used computational modeling to uncover mutations in the human genome that likely influenced the evolution of human cognition. This groundbreaking research in human genomics could lead to a better understanding of human health and the discovery of novel treatments for complex brain disorders. The study is to be published in Science Advances.

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A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.

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When patients receive care after cardiac arrest, doctors can now -- by entering patient data in a web-based app -- find out how thousands of similar patients have fared. Researchers have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors' work.