Results 231 to 240 of about 67,939 (291)

Multimodal MRI and multiomics reveal high‐risk neurophenotype in brain‐gut circuits as therapeutic target for Crohn's disease

Interdisciplinary Medicine, EarlyView.
Through a translational framework combining prospective dual‐center clinical cohorts with dextran sulfate sodium‐induced colitis models, this work integrated advanced neuroimaging, multi‐omics and neuromodulation interventions to redefine the high‐risk neurophenotype as a sustained pathogenic driver rather than a mere phenomenon, proposing brain‐gut ...
Xuehua Li, Ruonan Zhang, Xiaodi Shen, Shaochun Lin, Chuhuai Wang, Weikai Zheng, Weimiao Kong, Zihao Lin, Rongchang Li, Caiguang Liu, Xin Cao, Li Huang, Weitao He, Jinjiang Lin, Haijie Wang, Zhoulei Li, Marietta Iacucci, Subrata Ghosh, Zhenpeng Peng, Canhui Sun, Minhu Chen, Guang Yang, Yejun Wang, Ren Mao, Shi‐Ting Feng   +24 more
wiley   +1 more source

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations. [PDF]

J Int Med Res
Ridwan AM, Mohi Uddin KM.
europepmc   +1 more source

The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China

International Studies of Economics, EarlyView.
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley   +1 more source

Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. [PDF]

World J Radiol
Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM.   +7 more
europepmc   +1 more source

The Role of Admission Probabilities in the Deferred Acceptance Mechanism: An Experimental Study

International Studies of Economics, EarlyView.
ABSTRACT Although students theoretically need not consider admission probabilities under strategy‐proof mechanisms in school choice problems, our study reveals a significant correlation between students' applications and their beliefs about admission probabilities in the deferred acceptance mechanism.
Shuxian Hong, Yi Yang
wiley   +1 more source

Application of machine learning to blood-based biomarkers of Alzheimer's disease in Down syndrome. [PDF]

Alzheimers Dement (Amst)
Luckett PH, Petersen M, O'Bryant S, Mapstone M, Christian BT, Handen B, Head E, Ances BM, Alzheimer's Biomarker Consortium‐Down Syndrome.   +8 more
europepmc   +1 more source

Diurnal Air–Surface Temperature Dynamics in Hong Kong: An Analysis Across Land Use and Climate Zones

International Journal of Climatology, EarlyView.
Daytime and nighttime air temperature (Ta) from automatic weather stations and land surface temperature (Ts) derived from ASTER and Landsat 8–9 are used to examine the relationship between Ta and Ts. The spatial and statistical characteristics of Ta − Ts dynamics are further analysed across land use (LU) and local climate zones (LCZ).
Ibrahim Ademola Adeniran, Majid Nazeer, Man Sing Wong, Jinxin Yang, Pak‐Wai Chan   +4 more
wiley   +1 more source

Reliable and efficient solar radiation estimation with the insights of XAI. [PDF]

Sci Rep
Nallakaruppan MK, Johnson J, Mapari S, Dasgupta A, Udgir S, Narmatha C.   +5 more
europepmc   +1 more source

Decadal Changes of UV Aerosol Optical Depth in Hobart, Australia Measured With a Brewer MKIII: Relationship to Bushfire Events and Climate Indices

International Journal of Climatology, EarlyView.
Monthly average aerosol optical depth at 320 nm obtained with a Brewer MKIII spectrophotometer for Hobart, Australia (42.8806° S, 147.3250° E) over a 21‐year period. There is a linear trend of 15.4% per decade. There are 9 months when the average aerosol optical depth exceeds twice the monthly standard deviation.
Manuel Nuñez, Antonio Serrano, Peter Love, Nels Larson   +3 more
wiley   +1 more source

Decoding heart failure subtypes with neural networks via differential explanation analysis. [PDF]

Brief Bioinform
Ruz Jurado M, Rodriguez Morales D, Genetzakis E, Ardakani FB, Zanders L, Fischer A, Buettner F, Schulz MH, Dimmeler S, John D.   +9 more
europepmc   +1 more source