Fixation of Olecranon Fractures Using a Hybrid Intramedullary Screw and Tension Band Construct by Kaitlin Rush, John Fisher, Neil Jain, Caleb Gottlich, Cyrus Caroom

“…Olecranon fractures are common injuries that require surgical intervention for optimal outcomes. Various fixation methods have been described in the literature, including the use of intramedullary proximal ulna screws in combination with tension band augmentation. …”
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Effect of different regional anaesthesia techniques on postoperative analgesia following percutaneous nephrolithotomy: A systematic review and network meta-analysis by Kun Long, Chengfu Zhou, Jingqiu Liang, Xixi Tang, Zhijian Li, Qi Chen

“…Background and Aims: The optimal analgesia for percutaneous nephrolithotomy (PCNL) remains uncertain. …”
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Integrating petrophysical characterization and reservoir evaluation of the Kafr ELSheikh formation in Sapphire field, Nile Delta, Egypt by Naiem Souilam Sobih, Ahmed Ahmed El Nagar, Ali Elsayed Abbas, Samir Shehab

“…Abstract This study aims to integrate petrophysical characterization and reservoir evaluation for optimizing field development. The focus is on the Kafr Elsheikh formation, using iso-parametric maps to analyze key reservoir parameters such as effective porosity, shale content, net-pay thickness, permeability, hydrocarbon saturation, and water saturation across lateral sections. …”
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Cardiovascular Reactivity and its Association with the Risk of Cardiovascular Morbidity by Milagros Lisset León Regal, Mikhail Benet Rodríguez, Cynthia Olivia Morales Pérez, Rosmari Álvarez Hernández, Yudith Brito Pérez de Corcho, José Omar de Armas García

“…There is an association between non-optimal systolic blood pressure, increasing age, and high risk of cardiovascular morbidity in cardiovascular hyperreactive people. …”
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Machine learning techniques for independent gait recovery prediction in acute anterior circulation ischemic stroke by Jiangping Ma, Yuanjie Xie

“…Predictive models were developed using the Random Survival Forest (RSF) and COX regression methods. The optimal model was identified based on C-index values. …”
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Ecological Protection Technology of Spraying Vegetation Concrete on Carbonaceous Rock Slope Experimental Research and Application by Zhenchao Chang, Junhui Luo, Qiongzhen Tang, Ling Zeng, Hongri Zhang, Youjun Li, Gexiao Yang, Liming Zhang

“…Therefore, the field test of vegetation concrete was carried out to obtain the optimal dosage of vegetation concrete greening additive. …”
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Determination of diagnostic reference level (DRL) on computed tomography (CT) non contrast examination by Mulyati Sri, Rasyid Rasyid, Daryati Siti, Latifah Leny

“…The DRL was related to efforts to optimize radiation protection must be monitored periodically on CTDI Vol and DLP for lowest possible dose and optimum image quality results. …”
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USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…Choosing the most perspective components of this system will help speed up evaluating the optimal breeding strategy for improving abiotic stress tolerance in economically valuable plants. …”
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The Impact of Innovative City Pilot Policy on Urban Land Green Use Efficiency: A Quasi-Natural Experiment from China by Hengzhou Xu, Zhongyue Li, Luyu Guo, Yingfei Liu

“…Additionally, the NICPP contributes to improved comprehensive output benefits during land use activities and reduced pollutant emissions by optimizing industrial structures and enhancing technological innovation capacity, thereby promoting ULGUE. …”
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Using micro:bit for building distributed sensor networks in robotic systems by Roman Duban, Yurii Yurko

“…Future research should focus on real-world testing of compatibility with other devices and optimizing wireless communication. Paper Type. This is a technical note with both experimental and theoretical elements, explor-ing the issues of integrating micro:bit into distributed systems. …”
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In Vivo Evaluation of 1-O-(4-(2-Fluoroethyl-Carbamoyloxymethyl)-2-Nitrophenyl)-O-β-D-Glucopyronuronate: A Positron Emission Tomographic Tracer for Imaging β-Glucuronidase Activity... by Iněs F. Antunes, Hidde J. Haisma, Philip H. Elsinga, Aren van Waarde, Antoon T.M. Willemsen, Rudi A. Dierckx, Erik F.J. de Vries

“…To investigate the role of β-GUS in pathologies and to optimize β-GUS-based prodrug therapies, we recently developed a positron emission tomographic (PET) tracer, 1-O-(4-(2-fluoroethyl-carbamoyloxymethyl)-2-nitrophenyl)-O-β-D>-glucopyronuronate ([ 18 F]FEAnGA), which proved to be selectively cleaved by β-GUS. …”
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Improving Predictions of High‐Latitude Coronal Mass Ejections Throughout the Heliosphere by C. Scolini, E. Chané, J. Pomoell, L. Rodriguez, S. Poedts

“…Abstract Predictions of the impact of coronal mass ejections (CMEs) in the heliosphere mostly rely on cone CME models, whose performances are optimized for locations in the ecliptic plane and at 1 AU (e.g., at Earth). …”
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Mudharabah, musyarakah, financing risk, and performance of Islamic banks: Empirical evidence from Indonesia by Radhita Asfarina Annizar, Eddy Junarsin

“…Understanding the dual effects of mudharabah and musyarakah can help to implement strategies that optimize investment portfolios, enhance profitability, and minimize risk. …”
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A review on WO3 photocatalysis used for wastewater treatment and pesticide degradation by Yerkanat N. Kanafin, Alshyn Abduvalov, Marat Kaikanov, Stavros G. Poulopoulos, Timur Sh. Atabaev

“…Moreover, enhancement methods aimed at optimizing the photocatalytic activity of WO3 under visible light for pollutant degradation have been discussed. …”
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Conceptual and Simulated Semi-Automatic Urban Waste Management System using Global Systems for Mobile Communication and Customer Reliability Indices by L. Ogunwolu, A.D. Omiyale, O.O.E. Ajibola

“…The system is tested on a simulated 30-node housing estate and two dump sites with vehicles routed to optimize distance covered and volume of waste collected. …”
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Nomogram-Based Prediction of the Risk of Diabetic Retinopathy: A Retrospective Study by Ruohui Mo, Rong Shi, Yuhong Hu, Fan Hu

“…By operating R software, firstly, the least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection by running cyclic coordinate descent with 10 times K cross-validation. …”
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HIGH-EFFICIENCY INFRARED RECEIVER by A. K. Esman, V. I. Kostenko, N. I. Mukhurov, G. L. Zykov, V. A. Potachits

“…The purpose of this work is to improve the main parameters and characteristics that determine the practical relevance of the receivers of mid-infrared electromagnetic radiation at the operating room temperature by modifying the electrodes configuration of the diode and optimizing the distance between them. Proposed original design solution of the integrated receiver of mid-infrared radiation on the basis of the low-barrier Schottky diodes with beam leads allows to effectively adjust its main parameters and characteristics. …”
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A novel lidocaine-chitosan-barium titanate microemulsion gel for prolonged local anesthesia: An in vitro study by Qiao Xiaoru, Li Ling

“…Dynamic light scattering was utilized to analyze the particle size of the prepared microemulsions. The optimized microemulsion was transformed into a microemulsion gel to extend the duration of the microemulsion when administered to specific areas. …”
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Sustainable Leaching of Cu, Ni, and Au from Waste Printed Circuit Boards Using Choline Chloride-Based Deep Eutectic Solvents by Sara Saffaj, Diego Mantovani, Georgios Kolliopoulos

“…Among the different solvents tested, the one consisting of choline chloride (ChCl), acetic acid (AA), and I₂ emerged as the optimal solvent, leading to the selective extraction of 99% of Cu, 92% of Ni, and 90% of Au from the PCB powder.…”
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Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms by Mingjin Liu, Ruijie Gao, Wei Fu

“…The comparison of the training results is based on the comprehensive consideration of training time, validation set accuracy, TPR evaluation indicators, and interpretability of the results; it verifies the advantages of the machine learning model in screening the key influencing factors that cause the overdue performance of credit customers. According to the optimized credit risk control strategy, corresponding strategy suggestions are provided for the credit risk control of S company. …”
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