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Categories: Chemistry: Biochemistry, Mathematics: Modeling
Published Microneedle-based drug delivery technique for plants
(via sciencedaily.com) The agriculture industry is under pressure to adopt sustainable and precise agricultural practices that enable more efficient use of resources due to worsening environmental conditions resulting from climate change, an ever-expanding human population, limited resources, and a shortage of arable land. As a result, developing delivery systems that efficiently distribute micronutrients, pesticides, and antibiotics in crops is crucial to ensuring high productivity and high-quality produce while minimising resource waste. However, current and standard practices for agrochemical application in plants are inefficient. These practices cause significant detrimental environmental side effects, such as water and soil contamination, biodiversity loss and degraded ecosystems; and public health concerns, such as respiratory problems, chemical exposure and food contamination.
Published Fats help tag medical implants as friend or foe
(via sciencedaily.com) Bioengineers found that lipid deposition on the surfaces of medical implants can play a mediating role between the body and implants, knowledge that could help scientists develop biomaterials or coatings for implants that could reduce malfunction rates.
Published Attracting stem cells and facilitating bone regeneration by adhesive protein
(via sciencedaily.com) Scientists have developed an osteogenic barrier coating material that maximizes the effect of guided bone regeneration (GBR) for implant placements.
Published Scientists transform algae into unique functional perovskites with tunable properties
(via sciencedaily.com) Scientists have transformed single-cell algae into functional perovskite materials. The team has converted mineral shells of algae into lead halide perovskites with tunable physical properties. The new perovskites have unique nano-architectures unachievable by conventional synthetic production. The method can be applied to the mass production of perovskites with tunable structural and electro-optical properties from single-celled organisms.
Published Scientists demonstrate time reflection of electromagnetic waves in a groundbreaking experiment
(via sciencedaily.com) Original source Scientists have hypothesized for over six decades the possibility of observing a form of wave reflections known as temporal, or time, reflections. Researchers detail a breakthrough experiment in which they were able to observe time reflections of electromagnetic signals in a tailored metamaterial.
Published New AI model transforms understanding of metal-organic frameworks
(via sciencedaily.com) Original source Researchers have developed a new AI model that significantly improves the understanding of Metal-Organic Frameworks (MOFs), promising materials for hydrogen storage and other applications.
Published What if California didn't close down during the pandemic?
(via sciencedaily.com) Using a novel economic-epidemiological model, researchers examine the health and economic impacts that could have occurred if California took a 'business-as-usual' approach to the COVID-19 pandemic.
Published News you can use -- to better predict food crisis outbreaks
(via sciencedaily.com) A team of researchers has developed a machine learning model that draws from the contents of news articles to effectively predict locations that face risks of food insecurity. The model, which could be used to help prioritize the allocation of emergency food assistance across vulnerable regions, marks an improvement over existing measurements.
Published Stick to your lane: Hidden order in chaotic crowds
(via sciencedaily.com) Mathematical research brings new understanding of crowd formation and behavior.
Published Think you're good at math? Study shows it may be because you had equitable math teachers
(via sciencedaily.com) 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.
Published Artificial Intelligence from a psychologist's point of view
(via sciencedaily.com) Researchers test cognitive abilities of the language model GPT-3.
Published How to predict city traffic
(via sciencedaily.com) 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.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control
(via sciencedaily.com) 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.
Published MoBIE enables modern microscopy with massive data sets
(via sciencedaily.com) 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.
Published Theory can sort order from chaos in complex quantum systems
(via sciencedaily.com) 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.
Published Digital markers near-perfect for predicting dementia in older drivers
(via sciencedaily.com) 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.
Published Research team creates statistical model to predict COVID-19 resistance
(via sciencedaily.com) 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.
Published Beyond memorization: Text generators may plagiarize beyond 'copy and paste'
(via sciencedaily.com) 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.
Published AI analyzes cell movement under the microscope
(via sciencedaily.com) 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.
Published Computational modeling sheds light on human cognition and the origins of brain disorders
(via sciencedaily.com) 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.