Results 111 to 120 of about 52,836 (231)

Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns

Agribusiness, EarlyView.
ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley   +1 more source

Preoperative Computed Tomography Colonography‐Angiography for Vascular Mapping to Guide and Standardize D3 Lymphadenectomy in Right‐Sided and Transverse Colon Cancer

Annals of Gastroenterological Surgery, EarlyView.
This study utilized high‐resolution CT colonography‐angiography to systematically classify vascular branching patterns in 591 patients. We defined four reproducible anatomical patterns each for right hemicolectomy and transverse colectomy, demonstrating that an independent‐origin middle colic artery consistently predicts shorter dissection distances ...
Takeharu Kato, Yukihide Kanemitsu, Mototaka Miyake, Gen Tomizawa, Kohei Takura, Hiroshi Nagata, Yasuyuki Takamizawa, Konosuke Moritani, Shunsuke Tsukamoto   +8 more
wiley   +1 more source

Preoperative Radar Localisation of Impalpable Breast and Axillary Lesions: Initial Experience in an Australian Tertiary Centre. [PDF]

J Med Imaging Radiat Oncol
Carpenter G, Simoni C, Lu L, Eskander J, Liu T, Yuill J, Nightingale S, Nguyen M, Paiva J.   +8 more
europepmc   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

An Innovative Approach for Breast Conservation in a Patient With Multicentric Upper Inner and Central Quadrant Breast Tumors. [PDF]

Cureus
Kundu S, Saha S, Dahiya D, Laroiya I.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Schizophrenic Consciousness in the Light of the Phenomenological Epoché: A Foundational Map for Psychiatry. [PDF]

Brain Sci
Stanghellini G.
europepmc   +1 more source

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

Advanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer, Bassam Alrifaee, Ehsan Hashemi   +2 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source