Results 181 to 190 of about 4,939,690 (294)

Surface Variable-Based Machine Learning for Scalable Arsenic Prediction in Undersampled Areas. [PDF]

Geohealth
Azad S, Stahl MO, Erickson M, DeYoung BA, Connolly C, Chillrud L, Schilling K, Navas-Acien A, Basu A, Mailloux B, Bostick BC, Chillrud SN.   +11 more
europepmc   +1 more source

Prognostic Utility of the Preoperative Cachexia Index in Patients Undergoing Emergency Laparotomy

Annals of Gastroenterological Surgery, EarlyView.
The preoperative cachexia index, incorporating muscle mass, nutritional status, and inflammation, predicts in‐hospital and one‐year mortality in patients undergoing emergency laparotomy. This simple index may aid in risk stratification and perioperative decision‐making in high‐risk surgical patients. ABSTRACT Aim Emergency laparotomy is associated with
Naoko Fukushima, Takahiro Masuda, Kazuto Tsuboi, Masami Yuda, Keita Takahashi, Fumiaki Yano, Ken Eto   +6 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

A comprehensive dataset of riverine levee overtopping events for advancing risk assessment. [PDF]

Sci Data
Flynn S, Vahedifard F, Schaaf D.
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Deep learning-based temporal change detection of broadleaved weed infestation in rice fields using UAV multispectral imagery. [PDF]

Front Plant Sci
Rosle R, Che'Ya NN, Rahmat F, Sulaiman NS, Zakaria NI, Berahim Z, Omar MH, Ismail MR.   +7 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

IoT based soil moisture measurement and type prediction using advanced regression and machine learning models. [PDF]

Sci Rep
Sazzad MM, Ahmed T, Kibria G, Khan I.
europepmc   +1 more source

Underestimation of boreal forest soil carbon stocks related to soil classification and drainage1

, 2016
Lise Dalsgaard, H. Lange, L. Strand, I. Callesen, S. Borgen, J. Liski, R. Astrup   +6 more
semanticscholar   +1 more source

Worm‐Inspired Soft Robots With Modular Outfit‐Changing for Intelligent Multienvironment Adaptation

Advanced Intelligent Systems, EarlyView.
This study proposes a worm‐inspired soft robot capable of locomotion across multiple environments through a modular “outfit‐changing” strategy. The robot integrates pneumatically actuated peristaltic segments with interchangeable external modules, enabling efficient motion on ground surfaces, within pipelines, through granular media, and underwater ...
Xiaomin Liu, Heng Wei, Zhengxin Guo, Zheng Liu, Yi Jin, Yunwei Zhao, Changyong Chase Cao   +6 more
wiley   +1 more source