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Research and analysis methods

Changes in tobacco sales before, during, and after the COVID-19 pandemic in Japan: An interrupted time series analysis

Kanae Kondo, Ichizo Morita, Shigemitsu Sakuma, Isao Ohsawa

Identifying key factors in building fires: A novel approach fusing K-shell entropy gravity

Yongping Yu, Ning Wang, Shibo Cui, Enhui Zhao

Clinical performance of the BioFire Blood Culture Identification 2 panel for microorganism species identification and resistance gene detection in blood culture-positive specimens

Haruki Naruse, Noriyuki Watanabe, [ ... ], Yasuhiro Ebihara

The application of large language models in bariatric surgery: A scoping review

Ningjing Guo, Xuyan Li, [ ... ], Jie Zheng

Single-cell profiling of kinase substrate phosphorylation by single-molecule imaging

Takuya Hidaka, Ryotaro Motoya, [ ... ], Yuichi Taniguchi

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models

Fawaz Khaled Alarfaj

RNA metagenomic profiling of mosquito viromes associated with Vector-Borne diseases in Quebec, Canada

Ines Levade, Benjamin Delisle, Éric Fournier, Christian Therrien

Topological data analysis for predicting disease outbreaks in humanitarian settings: A machine learning approach

Job Agba Opue, Uchechukwu Emena Okorie, Victor Ede Itita

From cheap entertainment to expensive pleasure: Cinema-going habits and motivations of young people in Türkiye

Nermin Küçüksönmez, Abdullah Koçak, Nuh Akçakaya

Feasibility study of prospective gated tomosynthesis using a wide-angle carbon nanotube enabled, stationary digital chest tomosynthesis scanner: In-vivo evaluation in a porcine subject

Alex Billingsley, Christina Inscoe, [ ... ], Yueh Z. Lee

Neutrophil extracellular traps in the animal model of adenine-induced chronic kidney disease

Alexandra Gaál Kovalčíková, Gabriela Forraiová, [ ... ], Peter Celec

Youth’s mental health journeys through the COVID-19 pandemic using arts-based methods in virtual environments

Roberta L. Woodgate, Lisa Mary-Quigley, [ ... ], Andrew R. Hatala

Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases

Jesus E. Juarez Casillas, Maryam Nezafat, [ ... ], Nicholas G. Nickols

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