Results 101 to 110 of about 1,831,408 (276)
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source
The Relevance of Apology to Reparations for Historical Injustice
ABSTRACT This article explains the centrality of apology to an adequate account of reparations. I look in depth at what goes on in apology. As I have previously argued, apology is an expressive action through which we seek to mark adequately the significance of our own wrongdoing. I claim that apology so understood is not merely ornamental.
Christopher Bennett
wiley +1 more source
This study proposes a risk assessment method for ethane tank leakage based on Fault Tree Analysis (FTA) and the Fuzzy Bayesian Network (FBN). It aims to diagnose and probabilistically evaluate system risks in scenarios where leakage data are imprecise ...
Min Pang +3 more
doaj +1 more source
ABSTRACT Objective As artificial intelligence (AI) tools gain traction in healthcare, their role in periodontal diagnostics remains largely unexplored. This study evaluated the diagnostic accuracy of ChatGPT‐4 in applying the 2017 Classification of Periodontal and Peri‐Implant Diseases and Conditions compared to US dental school faculty, with the goal ...
Ellie Y. Ji +10 more
wiley +1 more source
ABSTRACT Glaciokarst landscapes pose distinctive challenges for cosmogenic dating because meltwater and runoff can be rapidly rerouted into ponors and conduit networks, weakening glacier–river coupling and promoting local sediment storage. We reconstruct glacier retreat and postglacial stabilization on the Snežnik Plateau (SW Slovenia) using in situ ...
Onur Altınay +6 more
wiley +1 more source
Vibration-based continuous monitoring system for fault diagnosis of automobile hydraulic brake system is presented in this study. This study uses a machine learning approach for the fault diagnosis study. A hydraulic brake system test rig was fabricated.
Alamelu Manghai T. M , Jegadeeshwaran R
doaj +1 more source
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha +5 more
wiley +1 more source
Roll-on/Roll-off passenger vessels transporting electric vehicles (Ro-Ro EVs) face unique fire hazards, challenging traditional fire risk management strategies.
Xiaodan Jiang +4 more
doaj +1 more source
Accuracy of Key Sonographic Markers for Juxta‐Articular Fractures
Objectives To systematically evaluate sonographic features of long bone juxta‐articular fractures and identify key diagnostic predictors using machine learning‐based feature selection. Methods This prospective single‐center diagnostic accuracy study enrolled 121 patients with clinically suspected juxta‐articular fractures.
Xiaofang Fu +11 more
wiley +1 more source
Patient‐derived xenograft (PDX) tumor models initiated in avian chorioallantoic membranes (CAM) are under investigation to evaluate the effectiveness of therapeutic options with the objective of personalizing treatments. CAM PDXs paired with ultra‐high frequency ultrasound (UHFUS) imaging could potentially constitute prospective high throughput assays ...
Sara Mar +5 more
wiley +1 more source

