Article
Multidisciplinary Sciences
Monalisa Goswami, Rene Lachmann, Robert Kretschmer, Rainer Heintzmann
Summary: This paper presents a simple technique to upgrade a scanning microscope to an image scanning microscope, which improves both resolution and signal to noise ratio. By using a camera-based detector and signals from Arduino Due, the system achieves scanning drive and camera synchronization.
Article
Biology
Aurelio Cortese, Asuka Yamamoto, Maryam Hashemzadeh, Pradyumna Sepulveda, Mitsuo Kawato, Benedetto De Martino
Summary: The human brain excels at constructing and using abstractions based on the valuation of sensory features, with high-value abstract representations guiding behavior and leading to better choices and higher confidence. The brain area computing value signals prioritizes latent task elements during abstraction, predicting a causal role for valuation. Neural reinforcement tagging in the sensory cortex evokes abstraction-based decisions, providing a novel interpretation of value as a key factor in forging abstract representations.
Article
Physics, Applied
Prasad Sarangapani, James Charles, Tillmann Kubis
Summary: In this study, the band tails of various TMD monolayer and multilayer systems on different dielectric substrates are predicted using density-functional theory. It is found that the band tails critically depend on the layer thickness, temperature, doping concentration, and chosen dielectric substrate.
PHYSICAL REVIEW APPLIED
(2022)
Article
Computer Science, Artificial Intelligence
Pengcheng Liu, Linfu Sun
Summary: This study addresses the issue of declining service quality in service stations by sharing and allocating repairperson resources across multi-service value chains in a third-party cloud platform environment. The findings demonstrate that the selection model considering multi-service value chains collaboration promotes the utilization of service resources, and the many-objective evolutionary algorithm EAARV performs well in solving the resources selection problem.
APPLIED SOFT COMPUTING
(2022)
Article
Medical Laboratory Technology
Lee F. Schroeder, David M. Manthei, David F. Keren
Summary: This study provides a retrospective reference interval analysis and risk prediction for monoclonal gammopathy. The results indicate significant differences between FLC ratio reference intervals and the international standard diagnostic range, suggesting the need for independent re-evaluation of reference intervals and an update of international guidelines.
CLINICAL BIOCHEMISTRY
(2023)
Article
Multidisciplinary Sciences
Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sunghoe Chang, Jong Chul Ye
Summary: By using a deep learning approach, this study presents an unsupervised super-resolution technique that addresses the problem of anisotropic spatial resolution in volumetric fluorescence microscopy. The technique enhances axial resolution, restores suppressed visual details, and removes imaging artifacts.
NATURE COMMUNICATIONS
(2022)
Article
Public, Environmental & Occupational Health
Kara Morgan, Zachary A. Collier, Elisabeth Gilmore, Ketra Schmitt
Summary: Emerging risks are characterized by a lack of data, rapidly changing information, and the absence of existing predictive models. Effective decision-making for these risks requires scoping the decision context and shared responsibility between analysts and decision-makers in rapidly evolving situations. Simplified analytical approaches may be more suitable for emerging risks, providing increased transparency, ease of explanation, and the ability to conduct new analyses quickly. Continued dialogue and discussion among decision and risk analysis communities can enhance the credibility and usefulness of models for emerging risks.
Review
Psychology, Multidisciplinary
Spencer C. Kohn, Ewart J. de Visser, Eva Wiese, Yi-Ching Lee, Tyler H. Shaw
Summary: This comprehensive review examines methods used to capture Trust in Automation (TiA) including self-report, behavioral, and physiological indicators within the context of an existing trust model. The article provides researchers with a reference guide listing available TiA measurement methods and the model-derived constructs they capture, such as judgments of trustworthiness, trust attitudes, and trusting behaviors. Recommendations for improving the current state of TiA measurement are also provided.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Experimental
Steven J. Carlson, Linda J. Levine, Heather C. Lench, Elinor Flynn, Kaitlin M. H. Winks, Britanny E. Winckler
Summary: Why do people rely on inaccurate forecasts about future emotion to make decisions? Research shows that people may forecast certain features of their emotional experience better than others, and they tend to rely on more accurate forecasts for decision-making. Four studies examined the features of emotion that people reported forecasting when making decisions about their careers, education, politics, and health. The findings suggest that people rely more on the forecast emotional intensity than frequency or duration when making important decisions, and their forecasts of emotional intensity are more accurate. Anticipating the future can lead to better decisions, highlighting the importance and adaptive value of affective forecasts.
MOTIVATION AND EMOTION
(2023)
Article
Geosciences, Multidisciplinary
Ehsan Taheri, Chen Wang, Elmira Zahmat Doost
Summary: This study investigates emergency decision-making behaviors in uncertain time limits and life loss scenarios. The results show that prior experience influences the estimation and consumption of time for comparing rescue options in future disasters. In addition, the study reveals a risk shift, where risk-averse individuals without time limits exhibit risk-taking behaviors when time constraints are introduced. It is also found that as time pressure increases, subjects are more likely to use heuristics and adopt specific decision strategies. The findings suggest that emergency managers should be aware of the anchoring effect of prior experience and the potential risks associated with seeking to save more people.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Multidisciplinary Sciences
Yue Li, Jie Hu, Christian C. Ruff, Xiaolin Zhou
Summary: In the study of distributive justice, researchers have traditionally focused on inequality aversion and ignored other motives that may influence behavior. This study provides evidence that distribution decisions are guided by three distinct motives - inequality aversion, harm aversion, and rank reversal aversion. These motives are encoded by separate neural systems and compete for representation in the brain, but are integrated in the striatum for translating motives into behavior.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Thermodynamics
Wei Gao, Yunfei Yan, Kaiming Shen, Lujing Huang, Ting Zhao, Bo Gao
Summary: The research shows that the cavity combustor with guide vanes has better combustion characteristics and higher temperature in the high-temperature zone compared to the traditional cavity combustor. It also has better preheating and ignition effects under different guide vane geometries.
Article
Multidisciplinary Sciences
Ruth Pogacar, Neil Brigden, Emily Plant, Frank R. Kardes, James Kellaris
Summary: Inaction inertia is the tendency to forego an opportunity after missing a significantly better opportunity. This research shows that inaction inertia is rooted in reference dependence and motivated by avoidance of loss. It further demonstrates that consumers treat the missed discount as a reference point, causing them to focus on critical thoughts of the current deal and construe subsequent deals as losses.
Review
Nutrition & Dietetics
Mark Messina, Alison Duncan, Virginia Messina, Heidi Lynch, Jessica Kiel, John W. Erdman
Summary: Soy is a widely debated topic in nutrition, and the contradictory research published over the past 30 years makes it difficult for health practitioners to advise clients and patients on soyfoods. This review aims to provide concise literature summaries and perspectives on various soy-related topics, serving as a tool for health professionals in discussing soyfoods with their clients and patients.
FRONTIERS IN NUTRITION
(2022)
Article
Biochemical Research Methods
Maxime Tarabichi, Adriana Salcedo, Amit G. Deshwar, Maire Ni Leathlobhair, Jeff Wintersinger, David C. Wedge, Peter Van Loo, Quaid D. Morris, Paul C. Boutros
Summary: The Perspective reviews computational methods for subclonal reconstruction in cancer evolution studies, outlining complex approaches and best practices for analysis. It provides insight into clonality and mutational processes, identifying underlying assumptions and uncertainties in each step. This guide serves as a pragmatic resource for the growing user community of subclonal reconstruction methods.
