Article
Multidisciplinary Sciences
Golden Gao, Raynell Lang, Robert J. Oxoby, Mehdi Mourali, Hasan Sheikh, Madison M. Fullerton, Theresa Tang, Braden J. Manns, Deborah A. Marshall, Jia Hu, Jamie L. Benham
Summary: This study examines the factors associated with downloading of COVID-19 contact tracing apps in Canada and finds that factors such as gender, income, education level, and political views are positively associated with app download. Participants who trust health-related information sources are more likely to download the apps, while those who trust internet searches, family and friends, or Facebook are less likely to download. The most common reasons for not downloading are concerns about data security and perceived lack of benefit from the apps.
Article
Biology
Amrita Srivathsan, Leshon Lee, Kazutaka Katoh, Emily Hartop, Sujatha Narayanan Kutty, Johnathan Wong, Darren Yeo, Rudolf Meier
Summary: This study introduces a cost-effective and simple DNA barcoding method that can be used in various settings. The research provides amplicon coverage recommendations based on multiple runs of the latest generation of MinION flow cells, and introduces a novel software to address bioinformatics challenges related to MinION reads. Additionally, the study suggests that MinION barcodes are highly similar to Sanger and Illumina barcodes, and that MinION technology has improved rapidly since 2018.
Article
Environmental Sciences
Erik Kusch, Richard Davy
Summary: Advances in climate science have made widely used observation data obsolete, prompting the development of a workflow to integrate improved data into biological analyses. The ERA5 product family offers high-resolution climate variables and can be downscaled using Kriging. KrigR provides a user-friendly tool for obtaining tailored climate data at high resolutions.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Shanghong Zhang, Gaofeng Cui, Weidong Wang
Summary: The paper investigates the joint data downloading scheduling and multi-dimensional resource management problem for satellite cluster networks with relay satellites. It decomposes the problem into a series of mixed-integer programming problems and proposes an online joint data downloading and resource management scheme.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Kristina Mlinac-Jerkovic, Katarina Ilic, Milorad Zjalic, Dario Mandic, Zeljko Debeljak, Marta Balog, Vladimir Damjanovic, Nikolina Macek Hrvat, Nikola Habek, Svjetlana Kalanj-Bognar, Ronald L. Schnaar, Marija Heffer
Summary: Lipid rafts, cellular membrane microdomains enriched with various components, serve as important signalosomes. This study utilized different detergent methods to isolate lipid rafts in mouse brain, revealing a unique distribution of gangliosides and proteins in these microdomains. The findings offer insights into the complex interactions between glycosphingolipids and membrane proteins within lipid rafts.
JOURNAL OF NEUROCHEMISTRY
(2021)
Article
Economics
Gabriel J. Power, Dmitry Vedenov
Summary: This paper examines the optimal conditions for Texas hedges and finds that they occur in multi-commodity hedging when the objective is to minimize downside risk. Additionally, Texas hedges arise following periods of strong price momentum.
Article
Computer Science, Information Systems
Yan Zhang, Lei Zhang, Dingkai Ni, Kim-Kwang Raymond Choo, Burong Kang
Summary: This paper proposes a secure, robust and flexible cooperative downloading scheme based on reputation based selection mechanism and ordered signatures, aiming to address the challenge of selecting reliable proxy vehicles in fast driving situations, and achieving a balance between flexible data downloading and strong security.
Article
History & Philosophy Of Science
Igor Sedlar
Summary: The study introduces a general representation of unary hyperintensional modalities and explores various hyperintensional modal logics based on this representation. It concludes that existing approaches to hyperintensionality correspond to special cases of the general framework. Completeness results for the hyperintensional modal logics are established.
Article
Computer Science, Information Systems
Xiaodan Bi, Lian Zhao
Summary: This article proposes a collaborative caching strategy for reinforcement learning (RL)-based content downloading, which reduces the response time and burden at base stations by clustering vehicles and predicting content popularity. The RL algorithm, deep Q network (DQN), is utilized to minimize the weighted cost of downloading delay and failure cost.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Information Science & Library Science
Zequan Xiong, Xia Peng, Li Yang, Wen Lou, Star X. Zhao
Summary: Downloads are considered as a supplementary metric to citations in measuring the impact of scientific research. However, the motivations behind downloading specific publications have not been fully explored. To address this gap, a expanded Technology Acceptance Model (TAM) was proposed to investigate the motivations for downloading academic literature. The study found that the usefulness and relevance of the literature were the primary factors driving users to download specific publications. Downloads can be an effective metric to supplement citation metrics in evaluating the impact of academic literature.
LIBRARY & INFORMATION SCIENCE RESEARCH
(2023)
Article
Multidisciplinary Sciences
Harshit Parmar, Fred Davis, Eric Walden
Summary: This article explores and understands the neurodynamics of the decision-making process for mobile application downloading. The development of the model begins in an unorthodox fashion, identifying patterns of brain activation regions across participants at different time instances of the decision-making process. Previous studies' knowledge of region-wise activation is used to assemble the entire process model like a cognitive jigsaw puzzle. It is found that there is indeed a consistent set of dynamic activation patterns that are consistent across individuals and applications. This pattern is different for decisions resulting in adoption compared to decisions resulting in no adoption.
Article
Chemistry, Analytical
Hongrok Choi, Sangheon Pack
Summary: In this paper, a cooperative downloading scheme based on deep reinforcement learning is proposed to fully utilize satellite downloading capabilities by utilizing inter-satellite communication links. The proposed scheme can enhance the average utilization of contact time by up to 17.8% compared with independent downloading and randomly offloading schemes.
Article
Computer Science, Hardware & Architecture
Kaibin Huang, Hai Wu, Zhiyan Liu, Xiaojuan Qi
Summary: The sixth-generation (6G) mobile networks will incorporate machine learning and artificial intelligence (AI) algorithms at the network edge. This article proposes a novel technology called in-situ model downloading, which allows for transparent and real-time replacement of on-device AI models by downloading from an AI library in the network. The framework includes techniques for dynamically compressing downloaded models to support adaptive model downloading, as well as a virtualized 6G network architecture with a three-tier AI library.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Psychology, Biological
Patrick G. T. Healey, Christine Howes, Ruth Kempson, Gregory J. Mills, Matthew Purver, Eleni Gregoromichelaki, Arash Eshghi, Julian Hough
Summary: Social robots are seen as depictions of social agents rather than real ones due to their limited social competences. However, humans also have limited social competences. The authors argue that social interaction involves the depiction of social roles, which originate from and are defined by their function in accounting for social competence failures.
BEHAVIORAL AND BRAIN SCIENCES
(2023)
Editorial Material
Rheumatology
Martin Krusche
Summary: The COVID-19 pandemic has accelerated the adoption of telemedicine, but it has also raised concerns about assessment accuracy, medical-relationship building, and potential inequalities among patient groups.
NATURE REVIEWS RHEUMATOLOGY
(2022)
