Results 91 to 100 of about 544,884 (249)

Short‐ and Long‐Term Outcomes of Subtotal Gastrectomy for Remnant Gastric Cancer: A Multicenter Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This multicenter study compared subtotal versus completion gastrectomy for remnant gastric cancer. Subtotal gastrectomy was associated with shorter operative time and significantly less postoperative weight loss, with no difference in long‐term survival, suggesting it as a feasible surgical option without compromising oncologic outcomes.
Kensuke Kudou   +9 more
wiley   +1 more source

Cross-cultural Adaptation of the Instrument Readiness for Hospital Discharge Scale - Adult Form [PDF]

open access: yes, 2018
Objective: to perform the cross-cultural adaptation of the Readiness for Hospital Discharge Scale - (RHDS) Adult Form for use in Brazil. Method: a methodological study was conducted in 2015, in Brazil’s federal capital, following the eight stages ...
Carvalho Vila, Vanessa da Silva   +2 more
core   +1 more source

Photoepicutaneous tests: a series of 37 Brazilian patients

open access: yesAnais Brasileiros de Dermatologia, 2020
Maria Antonieta Rios Scherrer   +1 more
openaire   +4 more sources

A Study of the Brazilian Test

open access: yesEngineering Transactions, 1996
The first part of the present paper is devoted to the analysis of the standard Brazilian test, based on the theory of elasticity. Some literature data on the differences between the tensile strength Sr in the usual sense and the approximate strength Srb are quoted for some types of French rocks.
openaire   +1 more source

Differential Prognostic Impact of Prior Cholecystectomy Between Proximal and Distal Colorectal Cancer: A 12‐Year Retrospective Cohort Study of 3487 Consecutive Patients

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this retrospective cohort of 3487 patients with CRC, history of CCY was associated with significantly worse prognosis in patients with proximal CRC but not in those with distal CRC. This differential prognostic impact showed a statistically significant interaction between tumor location and history of CCY and remained robust after PSM.
Masashi Tsunematsu   +9 more
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki   +3 more
wiley   +1 more source

Equity Market Timing: Testing Using Brazilian IPOs

open access: yesRevista Brasileira de Finanças, 2010
This paper analyzes whether the behavior related to the equity market timing affected the recent IPO wave of Brazilian firms and exerted an impact on companies'capital structure. Using data from january 2004 to december 2007 the paper classifies the months in the sample in hot or cold according the number of IPOs that took place in each month.
José Luiz Rossi Jr, Marcelo Marotta
openaire   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza   +2 more
wiley   +1 more source

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