Articles tagged with Decision Making
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A team of UT Austin statisticians have developed a new method to model how the brain learns language over time, with potential applications in clinical practice and other areas of neuroscience research. They found that good learners process audio information faster than bad learners when deciding on tonal differences.
The study highlights three key themes in transitional care research: delineating function versus form of interventions, evaluating implementation processes, and engaging stakeholders. These findings aim to improve decision-making and patient-centered outcomes, despite challenges in comparing results between studies.
A study by Nicolette Sullivan and Scott Huettel found that the brain processes taste information first, followed by health information, leading to unhealthy snack choices. Slowing down the decision-making process can help individuals make healthier options.
Researchers develop a novel technique to identify specific neural pathways involved in high-order executive functions, including working memory and decision-making. The study reveals that these functions are controlled by different neural pathways linking specific brain areas.
A study by Martin-Luther-Universität Halle-Wittenberg found that relationship quality is associated with the subjective feeling of power, rather than a balanced distribution of positional power. Couples where both partners reported high personal power were more satisfied with their relationships.
A study in Zambia illustrates the challenges of measuring biodiversity and prioritizing land use, highlighting the need for consensus among conservation biologists. Different approaches to measuring biodiversity resulted in almost completely different land-use recommendations, emphasizing the importance of consistent methods.
A triple-system neural model of maladaptive consumption presents a new understanding of compulsive seeking and consumption behaviors. The model identifies three brain regions that may drive maladaptive behaviors: the impulsive system, reflective system, and interoceptive-awareness system.
A new computational framework simulates the dissemination of Type 2 diabetes guidelines, highlighting the impact of sociocultural context and complex social interactions. The Culturally Infused Agent Based Model (CI-ABM) improves analysis and prediction of guideline-dissemination behaviors.
New research suggests the UK's pandemic planning was limited by an outdated modelling structure, highlighting the need for a more holistic approach to decision-making. Professor Ashraf Labib proposes a hybrid model combining resilience triangle and bowtie modelling with five guiding principles to enhance public policy decisions.
Researchers aim to improve search results by accounting for users' systematic biases, which can lead to misleading information and poor decision-making. The project seeks to build bias-aware prediction models and promote informed, unbiased decision-making through proactively capturing bias-related search problems.
A new study explores how Haitian women's beliefs and values influence their decision making about pregnancy and birth after a C-section. Key findings highlight the importance of family, friends, and providers, as well as cultural background and fear of pain, in shaping birth plans.
A study of 2837 people with RA found that patients with low empowerment had worse pain, function, and quality of life over time. Remote management technologies, such as patient self-assessment and outcome measures, showed fair agreement with clinical decisions.
Researchers used machine learning to test and improve long-stagnant theories of human decision-making by analyzing a large dataset of risky choices. The study found that deep neural networks could mimic human decisions with high accuracy, revealing underlying psychological properties of established behavioral theories.
Researchers found that experiencing rudeness amplifies the anchoring bias, leading people to fixate on one piece of information despite inconsistent feedback. Perspective-taking and information elaboration can counteract this effect, suggesting a need to rethink workplace behavior.
A West Virginia University study found that college students' initial status of self-control is partly dependent on their willingness to try new things and their maternal attachment. Students who are less interested in trying new things and have a secure attachment to their mothers tend to maintain stable control throughout the year. C...
A new study by University of Michigan researchers highlights common barriers to improving equitable access to transportation, including data collection and information on needs. Practitioners cited need for better communication between disciplines and structures in place to advocate for equity-minded funding allocations.
Research reveals people with hyperphantasia have a stronger connection between the visual network and the prefrontal cortices, linked to decision-making and attention. This contrasts with aphantasics, who have lower ability to recognize faces and perform autobiographical memory tasks
The study reveals that researchers' subjective decisions can lead to variations in climate reconstruction outcomes. The experiment showed notable differences in amplitude and sensitivity among multiple reconstructions using the same raw data. To improve reliability, teams are advised to create ensemble reconstructions.
A new study led by CABI reveals that women play a crucial role in contract farming and the food value chain, but face significant barriers to participation. The research highlights the need for gender-inclusive approaches to promote equality and shared decision-making amongst men and women.
The OFIDIA2 project has developed an innovative wildfire monitoring and prevention platform for the regions of Puglia and Epirus. The system provides real-time fire danger forecasting, weather forecasts, and a dedicated control room for firefighting decisions.
Digital twin technology has the potential to revolutionize healthcare and aerospace by enabling predictive and precision medicine, and enhancing decision-making. However, current digital twins face challenges in scaling, requiring significant investment to overcome technical barriers and improve model accuracy.
A new survey suggests that Leave voters in Cornwall wanted to regain control over the UK due to concerns about EU influence, while immigration was a key factor for many. However, the issue of immigration was not a significant concern in Cornwall itself, with only six people citing it as an issue.
Experts recommend a mandatory UK register of doctors' financial and non-pecuniary interests. The proposed register aims to increase transparency for patients and reduce potential conflicts of interest, following concerns raised by the Cumberlege review.
A new study found that nearly a quarter of international students make their decision to stay or go before arriving in Canada, while the majority wait until after experiencing life here. Students cited family ties, employment opportunities, and feelings of isolation as key factors shaping their decisions.
Researchers argue that companies must provide explanations for algorithmic decision-making processes, as this is an ethical obligation apart from performance impact. They propose that companies can achieve transparency while maintaining trade secrets by hiring data interpreters or implementing explainable AI.
A US study suggests that delaying the second dose of COVID-19 vaccines for people under 65 could result in lower mortality rates, with estimates suggesting a 20% reduction in deaths. The strategy is optimal when vaccine efficacy from one dose is 80% or higher and vaccination rates are low.
A team of Carnegie Mellon University researchers has developed a new extension called Skeema, which helps users group their browser tabs into tasks and organize, prioritize, and switch between them. This tool addresses the issue of tab overload and improves online productivity by merging tab management and task management in a browser.
A recent study published in the Journal of Law and Society suggests that children are more prone to pleading guilty even when innocent due to their brain development and information processing abilities. The researchers argue that this can lead to inaccurate convictions and recommend tailored protection for young defendants.
A study by University of Cambridge researchers found that credit officers are less likely to approve loan applications at midday, resulting in missed opportunities for customers and financial losses for the bank. The study suggests that regular breaks during working hours can improve performance and productivity.
A study found that consumers with high need for cognition prefer content-based recommendations, while those with low need for cognition prefer collaborative filtering. The type of product also plays a role, with experience products being more appealing to consumers with high need for cognition.
Researchers at Max Planck Institute for Human Development discovered that the brain rapidly shifts from a rhythmic to a 'noisy' state when task demands increase. This shift enables flexible information processing, allowing individuals to adapt to changing environments and make better decisions.
KICT has developed an effective structural monitoring technique to monitor massive infrastructures, such as long-span bridges. The method uses multi-fidelity data fusion to combine point and distributed strain sensors for accurate responses over whole infrastructures.
Researchers at University of Maryland School of Medicine found that primary care practitioners significantly overestimated the likelihood of conditions such as cardiac ischemia and breast cancer. The study highlights the need for better decision-making tools to help doctors estimate risk based on laboratory findings.
Research from University of Gothenburg shows Brexit may change EU cooperation structure, with neighboring countries and similar ideologies taking precedence. After the referendum, member states with similar economic and political systems have stronger partnerships.
A new approach to solving multiagent decision making problems using agent-by-agent optimization leads to reduced computational complexity, performing at par with standard rollout algorithms. The result is a dramatic reduction in computation cost with linear growth in computation with the number of agents.
Employees perceive prosocially motivated supervisors as fairer and are more likely to give them the benefit of the doubt, even when they make mistakes. Research from the University of Notre Dame found that supervisor motives impact fairness judgments and that focusing on prosocial motives can buffer the negative effects of low justice ...
A new study finds that climate change is a major consideration for people deciding whether or not to have children, with many citing concerns over resource depletion and population growth. The research identifies three themes: overconsumption, overpopulation, and an uncertain future, which can evoke feelings of guilt and moral obligation.
Researchers at Penn State found that providing explanations for online symptom checker recommendations can increase user confidence and trust in the diagnosis. The study showed that users were more likely to trust the symptoms checker when they received clear explanations of how the system generated its probable diagnoses and suggestions.
A new synthetic framework, TB-ResNet, combines discrete choice models and deep neural networks to improve individual decision-making analysis in travel behavior research. The framework has been proven to be highly predictive, interpretable, and robust.
Portland State University has been awarded the Karen Hunter Memorial Award for its innovative open access textbook publishing initiative, PDXOpen. The award recognizes the university's efforts to reduce student costs and improve learning outcomes through openly licensed textbooks.
A recent study by University of Georgia researchers found that people are more likely to rely on algorithms for decision-making, even when faced with complex challenges. As the task becomes harder, people prefer algorithm-generated suggestions over human advice or 'wisdom of the crowd', according to the study.
In a study published by Ohio State University, men are more likely to be designated as the most knowledgeable about household finances, especially in wealthy households. The study found that among households in the top 1% of net worth, husbands were designated as the most knowledgeable in 90% of the households.
Researchers found that fruit flies use decision-making, learning and memory to escape heat, a process that challenges traditional thinking on self-driving cars. The study's findings suggest that simple navigation can contain complex behavior, paving the way for future work in this area.
Two studies from Indiana University and Regenstrief Institute found discrepancies between recorded POLST orders and current treatment preferences among nursing home residents. Regular review and update of these documents are crucial to ensure they reflect changing situations and patient wishes.
A new study published in Marketing Science reveals that customized seller recommendations are more powerful than discounting in increasing conversion rates. The research also found that auction-based pricing mechanisms improve the efficiency of retargeting campaigns, especially when consumers have high search intensity for specific pro...
A new study by William Bazley found that using the color red to represent financial data affects individuals' risk preferences, expectations of future stock returns, and trading decisions. The effects are not present in people who are colorblind, and they're muted in China, where red represents prosperity.
A new study found that subsistence consumers' effective participation in markets requires knowledge and skills, leading to increased wellbeing and entrepreneurship. Brief programs can aid the development of marketplace literacy and generate substantive outcomes.
Southwest Research Institute is developing an AI-based integrated corridor management decision support system for the Tennessee Department of Transportation. The system uses machine learning algorithms to optimize traffic flow and improve collaboration among transportation agencies.
Researchers at PNNL are developing explainable AI expertise to tackle national security challenges. They use techniques like feature importance to understand why AI systems make certain decisions, ensuring trust in predictions made with slim and incomplete data.
Psychologist Darya Zabelina is researching how attention and executive functions relate to creative thinking. She aims to develop training protocols to improve creativity in military personnel, who face unpredictable situations.
Researchers at UOC are developing a system to analyze and digitize agricultural data, using machine learning and intelligent algorithms to personalize customer targeting and improve sales processes. The project aims to give small enterprises more competitive tools, with potential impact on other sectors.
Researchers found that marketplace literacy education improved psychological wellbeing, consumer confidence, and entrepreneurial behavior among 1,000 people in 34 remote villages. Those with limited access to marketplaces benefited most from the education.
In snowy plover species, females often abandon their broods to mate with new partners, a behavior that may be beneficial for parental reproductive success. The study found that females desert their broods primarily due to poor environmental conditions or when chicks have a good chance of survival without them.
A recent study found that biases arise from unconscious tendencies towards certain decisions, affecting wellbeing. The research used mathematical models and neural recordings in primates to understand how biases are formed, revealing two types of bias: slow and fast, which can be difficult to eradicate.
Researchers found that objective and subjective memory can function independently and involve different parts of the brain. People tend to make decisions based on how they feel about a memory rather than its accuracy.
A new study examines the application of a risk assessment tool in child welfare decision-making and finds drastically different approaches between two states. The 'Goldilocks problem' highlights the challenges of standardizing a complex process, where too much rigidity can lead to inaccurate outcomes.
A study led by Universitat Oberta de Catalunya finds that lockdowns reduce cognitive capacity, leading to poorer choices and decreased altruism. The shock from restrictions impairs decision-making, causing people to prioritize short-term benefits over long-term consequences.
A University of Queensland and Nature Conservancy study reveals that women's voices are critically lacking in conservation, with gender discrimination being systemic and consistent. The research found positive impacts when women were involved in conservation, but existing gender roles and dynamics limit their participation.
A UTA civil engineering assistant professor is developing a multi-level dynamic model to measure the resilience level of transportation infrastructure networks in natural disasters. The project will create a decision-support tool and quantitative models to enhance the resilience of critical infrastructure before disasters occur.
Research finds that people's reason for swiping right is primarily based on attractiveness and the race of a potential partner. Decisions are often made quickly, with only personality, approach style, or long-term goals mattering slightly.