Results 51 to 60 of about 214,966 (272)

Modeling consumer acceptance of new energy vehicles in Guangdong Province, China: An empirical study

Energy Exploration & Exploitation
This study examines the behavioral intention to adopt new energy vehicles (NEVs) in China through an integrated framework that combines the technology acceptance model, the theory of planned behavior, and contextual policy support. Drawing on survey data
Shun Lv
doaj   +1 more source

Optimising the Optic Fibre Deployment in Small Rural Communities: The Case of Mexico

Axioms, 2023
Over the years, connection or access to the Internet has shown a positive impact on users in their everyday activities, such as entertainment, online education, online business, and productivity increments in their communities.
Luis A. Moncayo-Martínez, Ante Salcedo
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter study

Frontiers in Oncology
PurposeThis study evaluates the efficacy of radiomics-based machine learning methodologies in differentiating solitary fibrous tumor (SFT) from angiomatous meningioma (AM).Materials and methodsA retrospective analysis was conducted on 171 pathologically ...
Mengjie Li, Shengli Fu, Jingjing Du, Xiaoyu Han, Chongfeng Duan, Yande Ren, Yaqian Qiao, Yueshan Tang   +7 more
doaj   +1 more source

Relationship between search volume for digital transformation and stock returns: an empirical study in Vietnam [PDF]

RAUSP Management Journal
PurposeThis study aims to examine the relationship between digital transformation search volume and stock returns in the Vietnamese stock market.Design/methodology/approachThe authors collected weekly data from Google Trends and vn.investing.com ...
Tien Phat Pham, Duc Ngoc Nguyen, Tri Ba Tran   +2 more
doaj   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source

NP-completeness and degree restricted spanning trees

, 1992
In this paper several results are proved: (1) Deciding whether a given planar graph G with maximum degree 3 has a spanning tree T, where deg(x, T) = 1 or 3 for each node x, is NP-Complete. (2) For each proper subset S of the positive integers Z+ with 1 ϵ
Douglas, Robert James
core   +1 more source

Developing an interpretable machine learning model for easily detecting insulin resistance among breast cancer survivors: a cross-sectional study

BMC Medical Informatics and Decision Making
Objective To develop and validate a classification model for insulin resistance in female individuals who have survived breast cancer using easily obtainable clinical and demographic features. Methods Data were obtained from the U.S.
Mengxia Fu, Zhiming Peng, Xue Yu, Dapeng Lv, Min Wu   +4 more
doaj   +1 more source

Development of a natural language processing algorithm to detect chronic cough in electronic health records

BMC Pulmonary Medicine, 2022
Background Chronic cough (CC) is difficult to identify in electronic health records (EHRs) due to the lack of specific diagnostic codes. We developed a natural language processing (NLP) model to identify cough in free-text provider notes in EHRs from ...
Vishal Bali, Jessica Weaver, Vladimir Turzhitsky, Jonathan Schelfhout, Misti L. Paudel, Erin Hulbert, Jesse Peterson-Brandt, Anne-Marie Guerra Currie, Dylan Bakka   +8 more
doaj   +1 more source