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1121
A study on the timing of small-bowel capsule endoscopy and its impact on the detection rate of bleeding sources
Published 2025-06-01“…Abstract Background Small-bowel capsule endoscopy (SBCE) is an essential diagnostic tool for obscure gastrointestinal bleeding, particularly for identifying bleeding sources in the small intestine. The timing of SBCE is thought to affect its diagnostic yield; however, the optimal timing remains unknown. …”
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1122
Improvement of physics-based and data-driven model simulations based on multi-source soil moisture datasets
Published 2025-08-01“…New hydrological insights for the region: The results show that the incorporation of soil moisture significantly improves the ability of both DHSVM and Informer models to simulate extreme flows, compared to traditional methods relying solely on outlet streamflow and rainfall. …”
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1123
Clinical Utility of Emergency Capsule Endoscopy for Diagnosing the Source and Nature of Ongoing Overt Obscure Gastrointestinal Bleeding
Published 2019-01-01“…In patients with ongoing overt obscure gastrointestinal bleeding (OGIB), prompt detection of the bleeding source is crucial to treatment success. However, there is no consensus on the optimal timing of diagnostic capsule endoscopy (CE). …”
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1124
Dietary Intake of Protein by Food Source and Incident Hypertension Among Diverse US Adults: The MESA Study
Published 2025-05-01“…Background Dietary guidelines recommend adequate protein intake from diverse sources for optimal blood pressure; however, its role in hypertension risk remains unclear. …”
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1125
Identification of High-Photosynthetic-Efficiency Wheat Varieties Based on Multi-Source Remote Sensing from UAVs
Published 2024-10-01“…Traditional identification methods necessitate laborious on-site observation and measurement, consuming time and effort. …”
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1126
Construction and application of a drought classification model for tea plantations based on multi-source remote sensing
Published 2025-12-01“…While unmanned aerial vehicle (UAV) remote sensing offers efficient alternatives, existing studies predominantly rely on single-sensor data (e.g., multispectral (MS) or thermal infrared (TIR)), overlooking the potential of multi-source fusion—especially for tea plantations. To address this gap, we propose RSDCM (Remote Sensing-based Drought Classification Model), an improved Genetic Algorithm-Backpropagation (GA-BP) combined with MS + TIR framework that optimizes initial weights and thresholds via GA's global search (hidden layer=1, neurons in the hidden layers=5, 50 generations, population size=5, NonUnifMutation operators) to escape local minima and accelerate convergence. …”
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1128
IDENTIFYING THE HR EXPECTATIONS – PILLAR FOR OPTIMIZING THE LEADERSHIP STYLE
Published 2025-05-01“…From this perspective, in order to identify the expectations in terms of preferred leadership styles and their impact on team motivation and productivity, along with documentation from open data sources, a case study conducted in a private organization in Romania was applied as a research method. …”
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1129
Optimization of gelatin nanofabrication as a potential biocompatible nanocarrier
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1130
Optimized agricultural site selection based on geographic similarity
Published 2025-03-01“…In this study, we proposed an optimal agricultural site selection method based on the third law of geography and geographic similarity, and took the vegetable moss growing area in Hongshan District, Wuhan, China, as an example. …”
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1131
Optimal coordination of zero carbon building energy systems
Published 2024-02-01“…Optimal scheduling of renewable energy sources and building energy systems serves as a pivotal strategy for achieving zero carbon emission. …”
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1132
Prediction of stock market using sentiment analysis and ensemble learning
Published 2025-06-01“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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1133
Optimization of DC Energy Storage in Tokamak Poloidal Coils
Published 2024-10-01“…This paper presents innovative strategies to optimize the DC storage in poloidal power supply systems. …”
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1134
Optimizing Medical IoT Disaster Management with Data Compression
Published 2024-02-01“…To tackle this issue, we introduce "Beyond Orion," a novel lossless compression method designed to optimize data compression in IoT systems. …”
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1135
OPTIMIZATION OF FINANCING PUBLIC HIGHER EDUCATION INSTITUTIONS IN UKRAINE
Published 2017-09-01“…The paper considers the ways to optimize financing public higher education institutions of Ukraine. …”
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1136
Adaptive predator prey algorithm for many objective optimization
Published 2025-04-01“…Engineers and researchers can use MaOMPA as an effective reliable tool to address complex optimization scenarios in engineering design. The MaOMPA source code is available at https://github.com/kanak02/MaOMPA .…”
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1137
Biological Characteristics of Five Wood-Rot Fungi in Sand-buried Sections of Salix Psammophila
Published 2022-02-01“…[Objective] The influence of culture conditions (carbon source, nitrogen source, and pH value) on the growth of wood-rot fungi was analyzed in order to provide a theoretical basis for prolonging the service period of Salix psammophila sand barriers. …”
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Determination of Haloacetic Acids in Bottled and Tap Water Sources by Dispersive Liquid-Liquid Microextraction and GC-MS Analysis
Published 2014-01-01“…The method was applied to real samples in bottled water and tap water sources. …”
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1140
A Novel Integrated Strategy for Discovering Absorbable Anticoagulant Bioactive Peptides: A Case Study on Leech Protein Hydrolysates
Published 2025-07-01“…A novel anticoagulant evaluation model was first established with the Critic-G1 weighting method. And we optimized the enzymatically hydrolyzed extracts with high activity using Box–Behnken response surface methodology. …”
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