Article
Ergonomics
Asif Mahmud, Vikash V. Gayah, Rajesh Paleti
Summary: This study introduces a novel approach to address the issue of crash misclassification and incorporates it into two commonly used crash frequency prediction models. The proposed models demonstrate their capability to estimate true parameters and provide more reliable results compared to models that ignore misclassification errors.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Multidisciplinary Sciences
Timm Schoening, Jennifer M. Durden, Claas Faber, Janine Felden, Karl Heger, Henk-Jan T. Hoving, Rainer Kiko, Kevin Koeser, Christopher Kraemmer, Tom Kwasnitschka, Klas Ove Moeller, David Nakath, Andrea Nass, Tim W. Nattkemper, Autun Purser, Martin Zurowietz
Summary: Due to the lack of universally adopted data standards, the heterogeneity of underwater image data makes comparison and analysis challenging. To enable sustainable image analysis and processing, standardized formats and procedures are needed along with solutions for data reuse in long-term repositories.
Article
Microbiology
Stephanie D. Jurburg, Francois Buscot, Antonis Chatzinotas, Narendrakumar M. Chaudhari, Adam T. Clark, Magda Garbowski, Matthias Grenie, Erik F. Y. Hom, Canan Karakoc, Susanne Marr, Steffen Neumann, Mika Tarkka, Nicole M. van Dam, Alexander Weinhold, Anna Heintz-Buschart
Summary: This article examines the impact of technical biases and noise introduced during sample preparation and data collection on the estimation of molecular diversity. It also explores how novel methods from community ecology can improve the interpretation and integration of multivariate molecular data.
Article
Computer Science, Artificial Intelligence
Graham Cormode, Tejas Kulkarni, Divesh Srivastava
Summary: Concerns about aggregating sensitive user data without compromising privacy have led to the acceptance of differential privacy. By designing mechanisms that adhere to a set of ideal properties, such as minimizing a cost function through linear programming, various combinations of properties can be satisfied. Certain optimal mechanisms, including the truncated geometric mechanism and a novel mechanism introduced in the study, were found to prevent undesirable behaviors while releasing data associated with a group of individuals.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Editorial Material
Geography
Rachel S. Franklin, Elizabeth C. Delmelle, Clio Andris, Tao Cheng, Somayeh Dodge, Janet Franklin, Alison Heppenstall, Mei-Po Kwan, WenWen Li, Sara McLafferty, Jennifer A. Miller, Darla K. Munroe, Trisalyn Nelson, Ozge Oner, Denise Pumain, Kathleen Stewart, Daoqin Tong, Elizabeth A. Wentz
Summary: Geographical analysis has the potential and power to enhance our understanding of the importance of space and place. It can advance research on key aspects such as accessibility, urban change, and spatial interaction and behavior, leading to innovative and novel approaches for addressing local and global challenges.
GEOGRAPHICAL ANALYSIS
(2023)
Editorial Material
Cell Biology
Qin Ma, Dong Xu
Summary: Deep learning has great potential in single-cell data analysis, but there are still many challenges and possible new developments to be explored. In this commentary, the progress, limitations, best practices, and outlook of adapting deep learning methods for analyzing single-cell data are considered.
NATURE REVIEWS MOLECULAR CELL BIOLOGY
(2022)
Article
Business, Finance
Jonathan B. Cohn, Zack Liu, Malcolm I. Wardlaw
Summary: This paper assesses various econometric approaches to dealing with count-based outcome variables and other outcomes with similar distributions, which are increasingly common in corporate finance applications. The study demonstrates that the conventional practice of estimating linear regressions of the logarithm of 1 plus the outcome produces estimates that lack natural interpretation and may have incorrect expected direction. In contrast, a simple fixed-effects Poisson model yields consistent and relatively efficient estimates under more general conditions than commonly assumed. The paper also shows through replication of existing research that economic conclusions can be highly sensitive to the chosen regression model.
JOURNAL OF FINANCIAL ECONOMICS
(2022)
Article
Computer Science, Theory & Methods
Matteo Francia, Enrico Gallinucci, Matteo Golfarelli, Anna Giulia Leoni, Stefano Rizzi, Nicola Santolini
Summary: The paper introduces a metadata handling framework called MOSES to address the challenges of metadata handling in big data platforms. MOSES is a technology-agnostic, extensible, and customizable framework that provides a wide range of functionalities and has been tested in a real case study.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Review
Mathematics
Maria Victoria Ibanez, Marina Martinez-Garcia, Amelia Simo
Summary: This paper reviews the important methods of spatiotemporal count data modeling and monitors their performance through analyzing COVID-19 data. The focus is on classical approaches and Bayesian perspectives, with a showcase of their application in a COVID-19 case study.
Article
Chemistry, Analytical
Petter Stefansson, Fredrik Karlsson, Magnus Persson, Carl Magnus Olsson
Summary: This paper proposes a method for generating synthetic data through a simulator developed in the Unity game engine, capable of producing synthetic PIR motion sensor data. Experimental results show that the simulator's output is comparable to real-world PIR sensor output. Additionally, the simulator is used to study the impact of motion location in a room on PIR sensor output.
Article
Medicine, General & Internal
Mohamed A. Yassin, Ashraf T. Soliman, Saloua M. Hmissi, Mohammad A. J. Abdulla, Maya Itani, Ans A. Alamami, Mahmood B. Aldapt, Aasir M. Suliman, Ezzeddin A. Ibrahim, Mouhand F. H. Mohamed, Waail Rozi, Shehab F. Mohamed, Prem Chandra, Abdulqadir J. Nashwan
Summary: This study investigates the prevalence and spectrum of neutropenia in Arab blood donors living in Qatar, and finds a significantly high prevalence of neutropenia in Arab adult females, possibly related to genetic constitution and iron deficiency.
Editorial Material
Biochemistry & Molecular Biology
Vincent Chan, Pier Federico Gherardini, Matthew F. Krummel, Gabriela K. Fragiadakis
Summary: Complex datasets offer opportunities for discoveries beyond their original scope, but effective data sharing and management practices are crucial to realize their full potential. Introducing the concept of a "data sharing trust" can help maximize the value of large datasets.
Editorial Material
Biochemistry & Molecular Biology
Robert J. Schmitz, Alexandre P. Marand, Xuan Zhang, Rebecca A. Mosher, Franziska Turck, Xuemei Chen, Michael J. Axtell, Xuehua Zhong, Siobhan M. Brady, Molly Megraw, Blake C. Meyers
Summary: Epigenomics study is crucial for understanding plant genomes, but conducting epigenomic and single-cell genomic assays in plants poses challenges. Therefore, rigorous evaluation of data quality is necessary before downstream analyses and interpretation.
Article
Green & Sustainable Science & Technology
Huitao Lv, Haojie Li, N. N. Sze, Ziqian Zhang, Gang Ren, Yingheng Zhang
Summary: This study investigates the factors affecting cycle counts at the road segment level based on a survey dataset in London. The results show that cycling facilities, public transit, minor roads, network continuity, and connectivity have a positive effect on both private and rental cycle counts. Furthermore, parking facilities also significantly impact cycle counts for both types of cyclists.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Computer Science, Artificial Intelligence
Kristof Coussement, Dries F. Benoit
Summary: This paper outlines the importance of interpretable data science in decision making, introduces the concept of an interpretable decision support system, and discusses its characteristics such as performance, scalability, comprehensibility, justifiability, and actionability. Moreover, the paper emphasizes the significance of data science decisions in the input, processing, and output stages when designing iDSS.
DECISION SUPPORT SYSTEMS
(2021)
Editorial Material
Multidisciplinary Sciences
Jeremy M. Berg, Needhi Bhalla, Philip E. Bourne, Martin Chalfie, David G. Drubin, James S. Fraser, Carol W. Greider, Michael Hendricks, Chonnettia Jones, Robert Kiley, Susan King, Marc W. Kirschner, Harlan M. Krumholz, Ruth Lehmann, Maria Leptin, Bernd Pulverer, Brooke Rosenzweig, John E. Spiro, Michael Stebbins, Carly Strasser, Sowmya Swaminathan, Paul Turner, Ronald D. Vale, K. VijayRaghavan, Cynthia Wolberger
Article
Multidisciplinary Sciences
Carly Strasser, Eesha Khare
Editorial Material
Biology
Stephanie E. Hampton, Carly A. Strasser, Joshua J. Tewksbury
Editorial Material
Ecology
Stephanie E. Hampton, Joshua J. Tewksbury, Carly A. Strasser
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2012)
Article
Ecology
Stephanie E. Hampton, Carly A. Strasser, Joshua J. Tewksbury, Wendy K. Gram, Amber E. Budden, Archer L. Batcheller, Clifford S. Duke, John H. Porter
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2013)
Article
Marine & Freshwater Biology
Philippe St-Onge, Jean-Marie Sevigny, Carly Strasser, Rejean Tremblay
Article
Multidisciplinary Sciences
John Ernest Kratz, Carly Strasser
Article
Ecology
Carly A. Strasser, Michael G. Neubert, Hal Caswell, Christine M. Hunter
THEORETICAL ECOLOGY
(2012)
Article
Biochemistry & Molecular Biology
Joel Hartter, Sadie J. Ryan, Catrina A. MacKenzie, John N. Parker, Carly A. Strasser
Article
Biochemical Research Methods
Carly Strasser, Kate Hertweck, Josh Greenberg, Dario Taraborelli, Elizabeth Vu
Summary: Scientific research relies on open source software, and investing in scientific OSS requires focus on scholarly credit, labor, maintenance, governance, and community-building.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Steven M. Alexander, Kristal Jones, Nathan J. Bennett, Amber Budden, Michael Cox, Merce Crosas, Edward T. Game, Janis Geary, R. Dean Hardy, Jay T. Johnson, Sebastian Karcher, Nicole Motzer, Jeremy Pittman, Heather Randell, Julie A. Silva, Patricia Pinto Da Silva, Carly Strasser, Colleen Strawhacker, Andrew Stuhl, Nic Weber
NATURE SUSTAINABILITY
(2020)
Article
Computer Science, Artificial Intelligence
Joan Starr, Eleni Castro, Merce Crosas, Michel Dumontier, Robert R. Downs, Ruth Duerr, Laurel L. Haak, Melissa Haendel, Ivan Herman, Simon Hodson, Joe Hourcle, John Ernest Kratz, Jennifer Lin, Lars Holm Nielsen, Amy Nurnberger, Stefan Proell, Andreas Rauber, Simone Sacchi, Arthur Smith, Mike Taylor, Tim Clark
PEERJ COMPUTER SCIENCE
(2015)
