Results 141 to 150 of about 3,662,073 (265)

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

open access: yesComputer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

A revised classification system of the marronoid clade of spiders (Araneae), based on dense sampling phylogenomics and comparative morphology

open access: yesCladistics, EarlyView.
Abstract The marronoid clade is a globally distributed, ecologically diverse group of spiders. It is an important faunal component in both natural and synanthropic environments, and even found in aquatic and extreme habitats such as desert salt flats. The systematics of the marronoid clade has been notoriously unstable due to the widespread character ...
Jonas O. Wolff   +10 more
wiley   +1 more source

Weight Regain After Incretin Treatment: The Lean Mass Deficit Hypothesis and a Role for Testosterone Combination Therapy in Men

open access: yesDiabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Background Glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs), dual glucose‐dependent insulinotropic polypeptide (GIP)/GLP‐1RA and triple (GIP)/GLP‐1RA/glucagon agonists achieve placebo‐subtracted weight loss of 15% to 22%. Their long‐term value depends on how well the weight loss is maintained and on the composition of weight loss, not only
Michael Zitzmann   +3 more
wiley   +1 more source

Gender Tokenism in Corporate Boardrooms in Europe

open access: yesGender, Work &Organization, EarlyView.
ABSTRACT We examine the tension between the diversity spillover and tokenism hypotheses using a novel and extensive dataset of nearly 6 million private corporations across 29 European countries from 1986 to 2020. The diversity spillover hypothesis suggests that appointing women to supervisory roles facilitates greater female representation in executive
Hubert Drążkowski, Joanna Tyrowicz
wiley   +1 more source

Similar Semantic Category Distributions but Distinct Noun Choices in Nonacademic Second Language Writing of Graduate Students With Different Disciplinary Backgrounds: A Natural Language Processing‐Based Analysis

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT The disciplinary background of second language (L2) writers can shape their writing style, including their lexical choices. This study examines lexical differences in nonacademic argumentative essays on the same topic by L2‐English graduate students with humanities‐related or science‐related majors.
Haerim Hwang, Hyunwoo Kim
wiley   +1 more source

Environmental Incidents and Sustainability Pricing Provisions

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract We investigate whether lenders use sustainability pricing provisions (SPPs) to manage borrower environmental risk. Using unexpected negative environmental incidents as shocks to environmental risk, we find that lenders are 10 percentage points less likely to include SPPs in loans to environmentally risky borrowers.
HUYEN NGUYEN, SOCHIMA UZONWANNE
wiley   +1 more source

Application of Noise2Inverse and adaptation (Noise2Phase) to single‐mask x‐ray phase contrast micro‐computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract X‐ray phase contrast imaging (XPCI), when implemented in micro‐computed tomography (micro‐CT) mode, offers high‐contrast 3D imaging of weakly‐attenuating material samples. In the so‐called single‐mask edge illumination approach, a mask with periodically spaced transmitting apertures is used to split the x‐ray beam into narrow beamlets; when ...
Khushal Shah   +8 more
wiley   +1 more source

Explainable Intelligent Framework for Reliable Drilling Rate Prediction and Feature Selection in Complex Sedimentary Formations

open access: yesJournal of Petroleum Geology, EarlyView.
ABSTRACT Accurate prediction of the drilling rate of penetration (ROP) is crucial to optimizing drilling performance, wellbore stability, enhancing operational efficiency, and reducing the overall cost of hydrocarbon exploration. This study focused on evaluating and comparing different machine learning models for ROP prediction and identifying the most
Mohammad Islam Miah   +2 more
wiley   +1 more source

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