Results 171 to 180 of about 77,058 (245)

A Preliminary Assessment of Noise‐Related Impacts From the Urban‐Invasive Johnstone's Whistling Frog (Eleutherodactylus johnstonei) 城市入侵物种约翰斯通鸣蛙 (Eleutherodactylus johnstonei) 引起的噪声影响初步评估 Una evaluación preliminar de los impactos relacionados con el ruido de la rana silbadora de Johnstone (Eleutherodactylus johnstonei), especie urbana invasora

Integrative Conservation, EarlyView.
The Johnstone's whistling frog is an invasive species whose loud night‐time calls may affect human health and well‐being. Our study in Cali, Colombia, combined fieldwork and online surveys to assess its urban occupancy, density, and potential health impacts.
Rubén Darío Palacio, Sumana Goli
wiley   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source

Deep learning‐driven methods for fluorescence imaging denoising

Interdisciplinary Medicine, EarlyView.
This review evaluates data‐driven deep learning denoising methods that overcome conventional limitations through effective feature extraction and nonlinear modeling. Focusing on fluorescence imaging acquisition under photon‐limited conditions, we delineate cutting‐edge architectures, including supervised learning, unsupervised learning, zero‐shot ...
Xinyu Lu, Zixu Zhan, Bin Tan, Ruiwen Wang, Shuyue Wang, Diming Zhang, Bobo Cai, Zhijing Zhu   +7 more
wiley   +1 more source

Optimizing Suicide Risk Prediction in Korea: A Comparison of Model Performance Using Resampling Methods and Machine Learning Algorithms. [PDF]

Psychiatry Investig
Lim E, Kim BJ, Cha B, Lee SJ, Choi JW, Kang N, Park S, Seo SH, Lee D.   +8 more
europepmc   +1 more source

Land Use Policy and Racial Segregation

International Studies of Economics, EarlyView.
ABSTRACT Land use policies, though seemingly race‐neutral, can inadvertently contribute to racial segregation. Our study focuses on examining the impact of minimum lot size regulations on the likelihood of ethnic minorities integrating into a community, which reveals compelling evidence suggesting that black households exhibit a preference for smaller ...
Ling Huang
wiley   +1 more source

Resampling methods for class imbalance in clinical prediction models: A scoping review protocol. [PDF]

PLoS One
Abdelhay O, Shatnawi A, Najadat H, Altamimi T.   +3 more
europepmc   +1 more source

From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks

Journal of Applied Econometrics, EarlyView.
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe, Mikael Frenette, Karin Klieber   +2 more
wiley   +1 more source

Establishment of Reference Interval for CA72‐4 in Healthy Adults in Shenzhen, China

Journal of Clinical Laboratory Analysis, EarlyView.
We established a reference interval (RI) for serum CA72‐4 in healthy adults in Shenzhen, China, based on data from 2614 individuals. Using CLSI EP28‐A3c guidelines, we determined an upper reference limit of 8.5 U/mL, which significantly reduced false‐positive results compared to the manufacturer's cutoff.
Mengting An, Zhiling Xu, Yanan Zhang, Junjie Wan   +3 more
wiley   +1 more source

AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques. [PDF]

Glob Epidemiol
Modali VA, Pavanya M, Arjunan RV, Cenitta D, Sampathila N, Kamath R, Chadaga K.   +6 more
europepmc   +1 more source

Experimental Validation of an Immune Cell Infiltration Signature in Psoriasis: Translating Computational Modeling to In Vivo Efficacy

Journal of Clinical Laboratory Analysis, EarlyView.
We calculated the infiltration profiles of 28 immune cells within psoriatic immune microenvironment through single‐sample gene set enrichment analysis (ssGSEA) algorithm based on the eleven psoriasis related microarray datasets. Five immune‐related genes CXCL8, CXCL9, CCL18, RGS1, and SAMSN1 are associated with psoriasis, and establish a predictive ...
Tingjin Zheng, Rong Xu, Jianming Zhang, Xiujuan Wen, Hao Huang, Hongfeng Tang, Zhishan Zhang, Chong Zeng   +7 more
wiley   +1 more source