Results 171 to 180 of about 614,926 (248)

Survival Results by the Prospectively Determined Clinical Staging for Locally Advanced Gastric Cancer: A Follow‐Up Study of JCOG1302A

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Prospectively determined clinical T and N categories clearly stratified long‐term survival in locally advanced gastric cancer. Patients with cT3N+, cT4aN0, cT4aN+, and cT4b disease showed unfavorable prognosis despite standard treatment. These findings may help optimize patient selection for perioperative treatment strategies.
Tsutomu Hayashi   +19 more
wiley   +1 more source

Clinical Implementation and Perioperative Outcomes of Robot‐Assisted Pelvic Exenteration for Primary Rectal Cancer: A Multicenter Japanese Experience

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Robot‐assisted pelvic exenteration (RPE) was performed with acceptable perioperative outcomes in selected patients with primary rectal cancer. It may serve as a complementary approach at institutions with sufficient experience in PE, whereas open surgery remains essential for extensive or technically demanding disease.
Shoma Yamamoto   +3 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto   +5 more
wiley   +1 more source

Judicial assessment of testimonial reliability after EMDR therapy: a case-series analysis. [PDF]

open access: yesFront Psychol
Pacchioni F   +5 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

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