Results 81 to 90 of about 2,840,523 (248)

Crop insurance and irrigation behavior: The conditional role of pumping costs

open access: yesAmerican Journal of Agricultural Economics, EarlyView.
Abstract Excessive water use for irrigation can accelerate the depletion of water resources, undermining agriculture's resilience to weather‐related shocks. Understanding how farmers make water use decisions is essential for developing effective water management policies.
Sungmin Cheu, Molly Sears
wiley   +1 more source

Redescription of the Triassic cynodont Cistecynodon parvus and reassessment of its phylogeny

open access: yesThe Anatomical Record, EarlyView.
Abstract Cynodontia is an important subclade of Therapsida that first occurred in the late Permian. It includes extinct subclades which are the non‐mammaliaform cynodonts and Mammaliaformes, with the latter ultimately giving rise to crown mammals. The systematics of non‐mammaliaform cynodonts has been extensively studied and is relatively well‐resolved,
Erin S. Lund   +4 more
wiley   +1 more source

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source

Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2020-2021 [PDF]

open access: yes, 2020
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2020 - 05/2021.
Associated Students of the University of Puget Sound (ASUPS)
core  

Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence

open access: yesBioengineering
In recent years, deep learning has shown promise in automating heart-sound classification. Although this approach is fast, non-invasive, and cost-effective, its diagnostic accuracy still mainly depends on the clinician’s expertise, making it particularly
Sami Alrabie, Ahmed Barnawi
doaj   +1 more source

Current practice and guideline adherence in renal dose adjustment for patients with chronic kidney disease: A systematic review and meta‐analysis

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims To quantify prescribing adherence to renal dosing recommendations in adults with chronic kidney disease (CKD; Stage 3 and above) and to evaluate the clinical consequences of non‐adherence. Methods This systematic review and meta‐analysis was conducted in accordance with PRISMA 2020 guidelines and registered in PROSPERO (CRD42025620883).
Hager ElGeed   +7 more
wiley   +1 more source

Segmentation of heart sound signals and denoising of magnetic resonance images using wavelets

open access: yes, 2011
71 p.Wavelet is one of the most fascinating developments in mathematics and signal processing. Daubechies developed the first continuous compactly supported wavelets leading to the development of wavelets to signal and image processing.
Seramani Sankar.
core  

Does Effective Heart Sound Segmentation Necessarily Require Deep Learning?

open access: yes
International audienceAre complex Deep Learning (DL) models necessary for effective heart sound segmentation? This paper demonstrates that an effective denoising approach combined with a standard lowcost probabilistic Markov-based segmentation method ...
Karfoul, Ahmad   +5 more
core   +1 more source

A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods

open access: yesIEEE Access
Cardiovascular diseases (CVDs) are a prevalent cause of mortality worldwide, and the traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart sound auscultations.
Motaz Faroq A. Ben Hamza   +1 more
doaj   +1 more source

Deciphering Nazi Racial Sorting: The Challenges of Attempting a Big Data Approach

open access: yesBerichte zur Wissenschaftsgeschichte, EarlyView.
In 2019 I started analyzing a large set of “race cards” preserved in the German Federal Archives (Bundesarchiv). These cards document anthropometric measurements performed by SS experts during WWII in the territories occupied by the Nazi regime. Applying a big data approach, my goal was to use those cards to study the inner dynamics of the racial ...
Amir Teicher
wiley   +1 more source

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