Article
Biochemical Research Methods
Meidan Zhao, Pengqian Wang, Kai Zhang
Summary: This article presents an innovative attempt to predict the potential benefits of acupuncture treatment for COVID-19 by analyzing and constructing networks of acupuncture targets and COVID-19.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Health Care Sciences & Services
Bhavani Shankara Bagepally, Usa Chaikledkaew, Nathorn Chaiyakunapruk, John Attia, Ammarin Thakkinstian
Summary: This study provides a step-by-step process to prepare cost-utility analysis (CUA) data for meta-analysis. The results show how to obtain incremental net benefit (INB) and variance data in different scenarios.
BMC HEALTH SERVICES RESEARCH
(2022)
Article
Chemistry, Multidisciplinary
Seunghyun Lee, Jiho Lee, Jae-Min Lee, Hong-Woo Chun, Janghyeok Yoon
Summary: Social issues are topics that occur and gain increasing attention in various areas of society. This study proposes a new approach to detect social issues from web-based data through network analysis, including monitoring keyword co-occurrence networks, identifying the time period of issue occurrence using network structure entropy and a community detection algorithm, and determining the priority of social issue candidates based on the centrality index of keywords.
APPLIED SCIENCES-BASEL
(2023)
Letter
Computer Science, Interdisciplinary Applications
Ming Li, Qian Gao, Tianfei Yu
Summary: The study evaluated the h(fa)-index, which takes into account the relative contribution of each author, using data from senior hospital physicians. The authors used Cohen's kappa statistic to assess the agreement between the h-index and the h(fa)-index. The results of the two metrics were found to be disputed, suggesting the need for the use of an appropriate statistical approach, such as the weighted Cohen's kappa statistic, in this study.
Article
Biodiversity Conservation
Lilian Marchand, Bastien Castagneyrol, Juan J. Jimenez, Jose M. Rey Benayas, Marie-Lise Benot, Carolina Martinez-Ruiz, Josu G. Alday, Renaud Jaunatre, Thierry Dutoit, Elise Buisson, Michel Mench, Didier Alard, Emmanuel Corcket, Francisco Comin
Summary: The success of ecological restoration actions may be overestimated due to the heterogeneity of collected data, according to research. It is suggested to differentiate between actions aiming to increase or decrease ecosystem attributes, and to use a new index AR to assess restoration success.
ECOLOGICAL INDICATORS
(2021)
Review
Computer Science, Information Systems
Olivier Debauche, Jean-Philippe Trani, Said Mahmoudi, Pierre Manneback, Jerome Bindelle, Sidi Ahmed Mahmoudi, Adriano Guttadauria, Frederic Lebeau
Summary: This article reviews the technological pathways in agriculture digitalization and literature on the Internet of Things, providing insights on technological choices and sustainability of research projects.
INTERNET OF THINGS
(2021)
Article
Psychology, Multidisciplinary
Juri Allik, Anu Realo, Robert R. McCrae
Summary: Culture-and-personality studies were once important in social science and have recently been revived as personality-and-culture studies. This article discusses conceptual issues and methodological challenges related to understanding the relationship between culture and personality. It also reviews research on how culture shapes personality traits and considers alternative explanations. The article concludes by proposing testable hypotheses based on Five-Factor Theory and the assumption that observed cross-cultural differences in personality traits are valid.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Reda Boukezzoula, Didier Coquin
Summary: This paper reexamines interval-valued fuzzy regression and proposes a new unified framework to address type-1 and type-2 fuzzy regression models. The paper discusses philosophical and methodological reflections about interval-valued fuzzy regression and introduces gradual intervals and thick gradual intervals to handle regression models. The proposed approach extends conventional interval regression methodologies to interval-valued fuzzy regression methods and maintains the rigor of computations in fuzzy regression models.
APPLIED SOFT COMPUTING
(2021)
Editorial Material
Health Care Sciences & Services
Stelios Kympouropoulos
Summary: The current Evidence-Based-Medicine (EBM) approach heavily relies on data from Randomized Clinical Trials (RCTs) and epidemiological observational studies. However, the emergence of Real-World-Data (RWD) derived from e-technology has introduced a new aspect to EBM. RWD includes data collected outside traditional studies, such as e-health records, claims data, patient-generated information, and registries. The European Health Data Space (EHDS) initiative aims to create a secure platform for exchanging health data within the European Union, and the combination of RWD within EHDS serves as a valuable resource for research initiatives, generating Real-World Evidence (RWE) to expand medical knowledge.
BMC MEDICAL RESEARCH METHODOLOGY
(2023)
Article
Mathematics, Interdisciplinary Applications
Cecilia Castro, Victor Leiva, Maria do Carmo Lourenco-Gomes, Ana Paula Amorim
Summary: This study addresses the complexities of data through advanced analytical methods and highlights the subtle interplay between time and variables. It emphasizes the importance of individual variability and analytical rigor in handling complex datasets.
FRACTAL AND FRACTIONAL
(2023)
Review
Biology
Gregory A. Bryant
Summary: The study of human vocal communication has been mostly focused on WEIRD societies, but there is a growing need for cross-cultural investigations to understand how universals and cultural variations interact in vocal production and perception. However, conducting cross-cultural voice research poses methodological challenges, especially in populations that are not commonly studied in Western societies, such as rural and small-scale communities.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Behavioral Sciences
Marjorie Perlman Lorch
Summary: Weisenburg and colleagues conducted research starting in 1927 to develop standardized tests to investigate language and intellectual impairments in individuals with and without aphasia. Their innovative approach included the concept of a matched control group for more representative and valid research results.
Review
Radiology, Nuclear Medicine & Medical Imaging
C. Bezzi, P. Mapelli, L. Presotto, I Neri, P. Scifo, A. Savi, V Bettinardi, S. Partelli, L. Gianolli, M. Falconi, M. Picchio
Summary: Radiomics in the context of PanNETs focuses on methods, technical approaches, and clinical applications. Studies have shown potential in tumor grade prediction, differential diagnosis, and assessment of tumor behavior, but further validation and optimization are needed for clinical application.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2021)
Article
Chemistry, Multidisciplinary
Antonio Pita, Francisco J. Rodriguez, Juan M. Navarro
Summary: This paper evaluates the performance of several data clustering techniques for analyzing different behavior patterns of sound pressure level. Experiments using noise data from multiple cities compare and test different clustering algorithms, and the results indicate that Hierarchical Agglomeration Clustering and K-means are more appropriate for fitting acoustic sound pressure level data.
APPLIED SCIENCES-BASEL
(2022)
Article
Public, Environmental & Occupational Health
Elton H. Lobo, Anne Frolich, Lene J. Rasmussen, Patricia M. Livingston, John Grundy, Mohamed Abdelrazek, Finn Kensing
Summary: The rise in stroke cases has burdened the healthcare system, leading to majority of care occurring in community with caregivers playing a crucial role. Health technologies are investigated to support caregivers poststroke, but face challenges due to user-centric needs. Integrating user-centric systems in stroke caregiving shows potential for long-term acceptance and better care.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Statistics & Probability
Domenico De Stefano, Susanna Zaccarin
JOURNAL OF APPLIED STATISTICS
(2016)
Article
Computer Science, Interdisciplinary Applications
Vittorio Fuccella, Domenico De Stefano, Maria Prosperina Vitale, Susanna Zaccarin
Editorial Material
Operations Research & Management Science
Maria Rosaria D'Esposito, Michel Tenenhaus
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
(2008)
Article
Social Sciences, Interdisciplinary
Viviana Amati, Silvia Meggiolaro, Giulia Rivellini, Susanna Zaccarin
SOCIAL INDICATORS RESEARCH
(2017)
Article
Social Sciences, Interdisciplinary
Viviana Amati, Giulia Rivellini, Susanna Zaccarin
SOCIAL INDICATORS RESEARCH
(2015)
Article
Anthropology
Maria Rosaria D'Esposito, Domenico De Stefano, Giancarlo Ragozini
Article
Environmental Studies
Ivana Bassi, Susanna Zaccarin, Domenico De Stefano
Article
Anthropology
Domenico De Stefano, Vittorio Fuccella, Maria Prosperina Vitale, Susanna Zaccarin
Article
Economics
Domenico De Stefano, Susanna Zaccarin
INDUSTRY AND INNOVATION
(2013)
Proceedings Paper
Computer Science, Information Systems
Maria Rosaria D'Esposito, Francesco Palumbo, Giancarlo Ragozini
CLASSIFICATION AND MULTIVARIATE ANALYSIS FOR COMPLEX DATA STRUCTURES
(2011)
Article
Computer Science, Interdisciplinary Applications
Giulia Rivellini, Ester Rizzi, Susanna Zaccarin
