Diagnosis and treatment of patients with gastroesophageal reflux disease – a systematic review of cost-effectiveness and economic burden by Petra Maresova, Lukas Rezny, Jan Hruska, Blanka Klimova, Lee L Swanstrom, Kamil Kuca

“…Abstract Background This study aims to review the existing knowledge on the cost-effectiveness and item costs related to the diagnosis and treatment of gastroesophageal reflux disease (GERD) patients at different stages. Methods The study adhered to the PRISMA guidelines. …”
Get full text

Explainable artificial intelligence for energy efficiency in experimental refrigeration Systems: Advanced cutting-edge sunflower optimization by Mehmet Das, Oguzhan Pektezel, Cebrail Barut, Gungor Yildirim, Bilal Alatas

“…The RbA-SFO algorithm results were compared with standard rule extraction methods and classification methods. The RbA-SFO achieved superior performance compared to other standard methods by achieving 83 % accuracy for R290 gas, 79.73 % accuracy for R134A gas, 83.54 % accuracy for R1234yf gas, and 87.34 % accuracy for R404A gas. …”
Get full text

Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Critical relevance statement This work may guide future radiomic research, paving the way for the development of more effective and reliable radiomic models; not only for advancing prostate cancer diagnostic strategies, but also for informing broader applications of radiomics in different medical contexts. Key Points Radiomics is a growing field that can still be optimized. …”
Get full text

Optimization of the defense forces personnel under mobilization conditions: The role of occupational selection as a personnel allocator by V. V. Kalnysh, A. V. Shvets

“… The purpose was to improve the conceptual model for optimization of occupational selection system in the defense forces during martial law. …”
Get full text

Optimizing IoT Intrusion Detection—A Graph Neural Network Approach with Attribute-Based Graph Construction by Tien Ngo, Jiao Yin, Yong-Feng Ge, Hua Wang

Get full text

Optimizing rainfall-triggered landslide thresholds for daily landslide hazard warning in the Three Gorges Reservoir area by B. Peng, X. Wu

“…The key findings of this study are as follows. (1) The optimal rainfall threshold models and calculation methods vary across different subregions, underscoring the necessity for tailored approaches. (2) The CNN-3D model substantially improves the accuracy of landslide susceptibility predictions. (3) The daily landslide hazard warnings were validated using anticipated rainfall data from 19 July 2020, thereby demonstrating the reliability of both the landslide hazard warning results and the rainfall threshold model. …”
Get full text

Kinematics of the Milky Way from the Statistical Analysis of the Gaia Data Release 3 by Petr Zavada, Karel Píška

“…Using the proposed statistical methods, we obtained the local velocity of the Sun <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced separators="" open="(" close=")"><msub><mi>U</mi><mo>⊙</mo></msub><mo>,</mo><msub><mi>V</mi><mo>⊙</mo></msub><mo>,</mo><msub><mi>W</mi><mo>⊙</mo></msub></mfenced><mo>=</mo><mrow><mo>(</mo><mn>9.58</mn><mo>,</mo><mn>16.25</mn><mo>,</mo><mn>7.33</mn><mo>)</mo></mrow><mo>±</mo><msub><mrow><mo>(</mo><mn>0.05</mn><mo>,</mo><mn>0.04</mn><mo>,</mo><mn>0.02</mn><mo>)</mo></mrow><mrow><mi>s</mi><mi>t</mi><mi>a</mi><mi>t</mi></mrow></msub><mo>±</mo><msub><mrow><mo>(</mo><mn>0.7</mn><mo>,</mo><mn>0.9</mn><mo>,</mo><mn>0.1</mn><mo>)</mo></mrow><mrow><mi>s</mi><mi>y</mi><mi>s</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula> km/s and the rotation velocity of the galaxy at different radii. …”
Get full text

A fuzzy irregular cellular automata-based method for the vertex colouring problem by Mostafa Kashani, Saeid Gorgin, Seyed Vahab Shojaedini

“…To evaluate the proposed method, various computer simulations have been conducted on a variety of graphs. …”
Get full text

UTILIZING QUANTUM-ENHANCED DYNAMIC CLUSTERING FOR OPTIMIZED PATH SELECTION IN WBANS FEATURING OPTICAL BIOSENSORS TECHNOLOGY by Poonam Sharma, Kamaljit Singh Saini, Prabhjot Kaur

“…This paper proposed a quantum enhanced Dynamic Cluster-based Optimized Path Selection (DCOPS) approach using Bio-Sensor technology that utilizes two different optimization algorithms for dynamic clustering and path selection. …”
Get full text

Optimizing transient gas network control for challenging real-world instances using MIP-based heuristics by Hennings, Felix, Hoppmann-Baum, Kai, Zittel, Janina

Get full text

Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

Get full text

Optimization of antioxidant extraction from agro-industrial wastes using ultrasound &amp; response surface methodology by Dunja Malenica, Marko Kass, Rajeev Bhat

“…In UAE, response surface methodology (RSM) was adopted to optimize extraction time (5–30 min), amplitude (20–50 %), and drying methods. …”
Get full text

Optimization of extraction process and antioxidant activity of total flavonoids from Aloe vera stir-fry products by ZENG Lingqin, GUO Jiangtao, LIU Jie, CHEN Zhengyuan, XU Jiahong

“…<b>Methods:</b> Single factor test and response surface method were used to optimize the extraction process, The content of total flavonoids in <i>Aloe vera</i> raw and fried products from different areas was determined by UV spectrophotometry,The antioxidant activity was studied by DPPH·, ABTS⁺·, ·OH and FRAP methods, the correlation between total flavonoids yield and antioxidant activity was analyzed by Pearson correlation. …”
Get full text

Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…Finally, response surface methodology (RSM) and Kriging methods are employed for the parameter optimization design of the reactor, yielding the optimal structural parameters under different optimization strategies. …”
Get full text

Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…The average response times in three different testing methods were 139.8 ms, 151 ms, and 140.6 ms, respectively. …”
Get full text

A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution by Jingming Hu, Chong Wang

“…Extensive experiments on a real-world road network show that our proposed method significantly outperforms four representative methods. …”
Get full text

Research on the Method of Determining the Optimum Microtexture Parameters of Ballend Mill by YANG Shu-cai, MA Xu-qing, ZHANG Yu-hua, LIU Wei-wei, HE Chun-sheng

“…In order to study the influence of microtexture on the cutting performance of ballend milling, and to complete the optimization of micro texture parameters, the frictionreducing and wearresistant mechanism of microtexture ballend milling was studied based on the theory of adhesive friction The experimental method was used to verify the correlation The finite element software DEFORM3D was used to simulate the milling of different texture parameters, and the reasonable range of tool microtexture parameters was obtained According to the range of parameters obtained from the simulation, an orthogonal test was designed to optimize the optimal texture parameters of the ballend cutter to be D=50μm、H=25μm、L1=130μm、L2=110μm…”
Get full text

Experimental Study and Optimization of Shredding Speed to Improve the Efficiency of Small-Sized Disc Shredder for Plant Residues by Vitaliy V. Krasovskiy, Yuriy B. Gerber

“…There have been found dependencies for different branch diameters that made it possible to optimize the operating parameters of the shredder. …”
Get full text

A Decentralized Framework for Radio-interferometric Image Reconstruction by S. Wang, S. Mignot, S. Prunet, L. Di Mascolo, M. Spinelli, A. Ferrari

Get full text

SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization by Aytuğ Onan

“…To address these challenges, researchers have been exploring automated methods for enhancing training and testing datasets. …”
Get full text