Results 101 to 110 of about 237,519 (286)

Shape and Semantics Modelling. La ricerca dell'IMATI -CNR per la rappresentazione, l'analisi e la documentazione di modelli digitali 3D e le sue applicazioni ai Beni Culturali

open access: yesArcheomatica, 2016
The Shape and Semantics Modelling Group of CNR-IMATI (an Institute of the Italian National Research Council) is active on several research topics related to shape modelling and retrieval.
Bianca Falcidieno
doaj   +2 more sources

Creating Shared Value as an Antecedent of Value Co‐Creation: B2B Relationships in the Agri‐Food Sector

open access: yesAgribusiness, EarlyView.
ABSTRACT This study analyzes the effects of value co‐creation and creation of shared value in agricultural input marketing. This study used a sample of 178 agricultural companies in Costa Rica. The data were analyzed using partial least squares structural equation modeling (PLS‐SEM) with SMART PLS software. Our findings reveal the significant influence
Luis Ricardo Solís‐Rivera   +1 more
wiley   +1 more source

An Information-Theoretic Proof of a Hypercontractive Inequality

open access: yesEntropy
The famous hypercontractive estimate discovered independently by Gross, Bonami and Beckner has had a great impact on combinatorics and theoretical computer science since it was first used in this setting in a seminal paper by Kahn, Kalai and Linial.
Ehud Friedgut
doaj   +1 more source

Artificial Intelligence‐Guided Total Mesorectal Excision: Development of a Deep Learning Model to Identify the Pelvic Fascial Plane Anatomy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
AI‐based segmentation of fascial planes during total mesorectal excision. Ground truth and predicted boundaries are compared for mesorectal fascia (blue), parietal pelvic fascia (red), and the holy plane (white). ABSTRACT Aim Total mesorectal excision entails dissection of the “holy plane” without damaging the mesorectal and parietal pelvic fasciae. We
Yuta Suzuki   +6 more
wiley   +1 more source

Dynamical Analysis of a Caputo Fractional-Order Modified Brusselator Model: Stability, Chaos, and 0-1 Test

open access: yesAxioms
Differential equations have demonstrated significant practical effectiveness across diverse fields, including physics, chemistry, biological engineering, computer science, electrical power systems, and security cryptography.
Messaoud Berkal   +1 more
doaj   +1 more source

Conversion Therapy for cT4b and M1 Esophageal Squamous Cell Carcinoma: A Comprehensive Systematic Review

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Interpolation Once Binary Search over a Sorted List

open access: yesMathematics
Searching over a sorted list is a classical problem in computer science. Binary Search takes at most log2⁡n+1 tries to find an item in a sorted list of size n.
Jun-Lin Lin
doaj   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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