Results 171 to 180 of about 6,857,309 (337)

Holistic Analysis for Mismatch Losses in Photovoltaic Modules: Assessing the Impact of Inhomogeneity from Operational Conditions and Degradation Mechanisms on Power and Yield

open access: yesProgress in Photovoltaics: Research and Applications, EarlyView.
In this publication, we present a comprehensive investigation into mismatch losses in PV modules, focusing on the interplay between operational conditions and degradation mechanisms and their collective impact on power generation considering various module designs, including full‐cell, half‐cell, string‐shingled, and matrix‐shingled configurations ...
Ammar Tummalieh   +4 more
wiley   +1 more source

Is There Any Association Between Periodontitis and Prostatic Alterations? A Systematic Review

open access: yesThe Prostate, EarlyView.
ABSTRACT Background The prostate plays a crucial role in male reproduction but is susceptible to diseases such as prostate cancer. Periodontitis, as an inflammatory disease, has the potential to modulate systemic conditions. This systematic review aimed to evaluate the association between periodontitis and prostatic alterations.
Beatriz Rodrigues Risuenho Peinado   +11 more
wiley   +1 more source

A Pharmacometric Workflow for Resolving Model Instability in Model Use‐Reuse Settings

open access: yesCPT: Pharmacometrics &Systems Pharmacology, EarlyView.
ABSTRACT The development of fit‐for‐purpose pharmacokinetic‐pharmacodynamic (PKPD) models based on clinical and pre‐clinical data is a critically important process in model informed drug development. This process is often hampered by modeling stability issues that are often multifactorial in nature and difficult to overcome, leading to protracted model
Stephen B. Duffull   +5 more
wiley   +1 more source

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey   +3 more
wiley   +1 more source

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