Japanese language and literature

Results 121 to 130 of about 414,639 (252)

Emergency Cholecystectomy in Patients Classified as High Risk According to the Tokyo Guidelines 2018: A Real‐World Analysis

Annals of Gastroenterological Surgery, EarlyView.
Emergency cholecystectomy was evaluated in patients with acute cholecystitis classified as non‐recommended for surgery by the Tokyo Guidelines 2018. Major postoperative complications, rather than mortality, better reflected operative risk. Physiological instability, particularly ASA‐PS ≥ 3 and shock status, identified high‐risk patients, suggesting ...
Satoshi Mii +9 more
wiley +1 more source

Risks and Benefits of Feeding Enterostomy Creation During Minimally Invasive Esophagectomy: A Propensity‐Weighted Analysis Using the Japanese National Clinical Database

Annals of Gastroenterological Surgery, EarlyView.
Feeding enterostomy during MIE was evaluated in 19 054 patients from the Japanese NCD using propensity weighting. Enterostomy was associated with higher reoperation and respiratory complications, but lower delayed gastric emptying and deep vein thrombosis, with no significant difference in overall bowel obstruction.
Eisuke Booka +7 more
wiley +1 more source

Pancreatic Atrophy: A Narrative Review and Surgical Interpretation

Annals of Gastroenterological Surgery, EarlyView.
Pancreatic parenchymal atrophy pattern and intraoperative margin assessment guide surgical strategy. ABSTRACT Despite recent advances in multimodal management, pancreatic ductal adenocarcinoma remains a fatal malignancy. Early detection of indirect findings of pancreatic ductal adenocarcinoma is essential to improve treatment outcomes, drawing ...
Rika Fujino +4 more
wiley +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa +2 more
wiley +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
wiley +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley +1 more source

Catalysis AI Agent Guides Discovering the Universal Design Principle of Cu‐Based Single‐Atom Alloy Catalysts for CO2 Electroreduction

Angewandte Chemie, EarlyView.
Artificial intelligence (AI) enables the systematic analysis and comparative evaluation of experimental and theoretical data, optimizes the catalytic reaction research workflow, and accelerates the discovery of high‐performance electrocatalysts. ABSTRACT Copper (Cu)‐based single‐atom alloys (SAAs) represent a promising strategy for optimizing the ...
Xuning Wang +5 more
wiley +2 more sources

Using photovoice to understand community perceptions of firearm risks and protective factors among Asian Americans

American Journal of Community Psychology, EarlyView.
Abstract This study used photovoice methodology to explore Asian Americans' perspectives on the root causes and protective factors of firearm violence in their communities. Photovoice provided a participatory platform for community members to document lived experiences and identify priorities for change.
Tsu‐Yin Wu +4 more
wiley +1 more source

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