Results 201 to 210 of about 75,781 (313)

Short‐Term Outcomes and Cost Drivers of Emergency Surgery for Acute Abdominal Disease in Super‐Elderly Patients: A Study in the Japanese Tertiary Care Hospital

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This retrospective study analyzed patients aged ≥ 85 years undergoing emergency abdominal surgery, focusing on short‐term outcomes and inpatient cost structure under the Japanese DPC system. Although major complications occurred in 19.4% of patients, more than 70% were discharged home.
Yuta Kobayashi   +8 more
wiley   +1 more source

Relationship Between Hospital Volume and Outcomes of Minimally Invasive Esophagectomy for Esophageal Cancer: Analysis of the National Clinical Database in Japan

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
According to multivariable analysis conducted using a hierarchical logistic regression model, using VHH as the reference group, the odds ratios for mortality by hospital volume category were as follows: VLH, 2.70 (p < 0.0001); LH, 1.72 (p = 0.052); MH, 1.70 (p = 0.034); and HH, 1.43 (p = 0.173).
Soji Ozawa   +8 more
wiley   +1 more source

China's Renminbi Currency Logistics Network: A Brief Introduction

open access: yes
Currency logistics is becoming a field of increasing interest and importance both in government and academic circles. In this paper, a basic description of China's nationwide logistics network for the Renminbi is discussed and analyzed.
Smith, Reginald
core  

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
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

Home - About - Disclaimer - Privacy