Transverse abdominis plane block under different guidance in laparoscopic cholecystectomy: anatomy and technique, systematic review and double meta-analysis by S.M. Chooklin, S.S. Chuklin, R.V. Barylyak

“…The risk of bias was assessed using the Cochrane Risk of Bias tool (RoB-2), and statistical analysis was performed using IBM SPSS Statistics 30.0 software. …”
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Dermal bioaccessibility and health risk assessment associated with mining production of metals (Pb-Zn-Ag) and critical raw materials (Sb-W) in the Iberian Peninsula by Inmaculada Ferri-Moreno, Iker Martínez-del-Pozo, Pablo Huertas, Pablo Higueras, José Ignacio Barquero-Peralbo, José María Esbrí, Mari Luz García-Lorenzo

“…This validates the soil-skin approach as an efficient and cost-effective tool for health risk assessment.…”
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Enhanced thermal performance in solar receiver duct with louver-punched V-type winglets: Numerical and experimental study by Maturose Suchatawat, Somchai Sripattanapipat, Pitak Promthaisong, Sompol Skullong, Pongjet Promvonge

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A High-Throughput and Robust Relative Potency Assay Measuring Human Cytomegalovirus Infection in Epithelial Cells for Vaccine Development by Nicole M. Smiddy, Nisarg Patel, Matthew C. Troutman, Kristine M. Kearns, Zachary P. Davis, Christopher S. Adams, Carl Hofmann, Donald J. Warakomski, Harrison Davis, Daniel Spatafore, Adam Kristopeit, Pete DePhillips, John W. Loughney

“…The IRVE assay was correlated to historical, lower throughput HCMV potency assays, including plaque and Infectivity of Early Gene Expression (IEE), validating its application as a potency screening tool. <b>Conclusions:</b> The IRVE assay has been successfully implemented to support HCMV vaccine development over several years of clinical development.…”
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A High Resolution Melting Analysis (HRM) PCR assay for the detection and identification of Old World Leishmania species. by Yusr Saadi-Ben Aoun, Hejer Souguir, Hamed Chouaieb, Mongia Kraiem, Insaf Bel Hadj Ali, Ahmed S Chakroun, Florian Noguier, Akila Fathallah-Mili, David Piquemal, Ikram Guizani

“…<h4>Conclusions</h4>The HRM PCR assay is a valuable tool for the detection and identification of Old World Leishmania species. …”
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Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

“…On the basis of a set of data from 750 swallows and therefore 6750 manometric parameters, the artificial intelligence models DecisionTreeClassifier, RandomForestClassifier and CatBoostClassifier have been trained to provide a manometric diagnosis. …”
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Soluble Neuropilin-1 as a Marker for Distinguishing Bacterial and Viral Sepsis in Critically Ill Patients—A Prospective, Multicenter, Observational Study by Fabian Perschinka, Georg Franz Lehner, Timo Mayerhöfer, Frank Hartig, Birgit Zassler, Johannes Bösch, Dietmar Fries, Romuald Bellmann, Michael Joannidis

“…Furthermore, the AUC values for discrimination ranged from acceptable to good, depending on the day of the ICU stay. sNRP-1 may serve as a potential tool to differentiate between bacterial and viral pathogens in sepsis.…”
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Comparative analysis of the ten Tusscher and Tomek human ventricular cell models at cellular, tissue, and organ levels: Implications for post‐infarct ventricular tachycardia simula... by Ruiqing Dong, Zhenyin Fu, Chuxin Zhang, Yumeng Liu, Yiming Wang, Nan Zhang, Zefeng Wang, Jun Hou, Ling Xia, Yongquan Wu, Shijie Zhou, Dongdong Deng

“…Abstract Computational modeling is a tool for exploring both normal electrical propagation in healthy hearts and cardiac arrhythmias in patients. …”
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Beneficial plants-Trichoderma interactions on host tolerance to abiotic stresses: a meta-analysis by Lorena Brito Pimentel Rodrigues dos Santos, Naiane Oliveira-Santos, Diogo Pereira Silva de Novais, Valter Cruz-Magalhães, Leandro Lopes Loguercio

“…Overall, this study reinforces the potential of Trichoderma spp. as a tool for managing abiotic stress in agriculture, in the context of environmental and climatic changes.…”
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Predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients through logistic regression: a model incorporating clinical charac... by Jimin Hao, Man Liu, Zhigang Zhou, Chunling Zhao, Liping Dai, Songyun Ouyang

“…This study presents a predictive model integrating clinical parameters, computed tomography (CT) characteristics, and serum tumor markers to forecast EGFR mutation status in NSCLC patients. …”
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Assessment of the prognostic value of CA125 for miscarriage risk in patients with threatened abortion: A systematic review and meta-analysis. by Yurong Cao, Weiwei Li, Linna Ma

“…While these results support CA125's potential as a complementary tool to ultrasound, further studies are required to establish standardized cut-off values for clinical implementation.…”
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Parametric Analysis Towards the Design of Micro-Scale Wind Turbines: A Machine Learning Approach by Raneem Mansour, Seifelden Osama, Hazem Ahmed, Mohamed Nasser, Norhan Mahmoud, Amira Elkodama, Amr Ismaiel

“…Extensive simulations are made on a 45 cm diameter rotor while performing parametric analysis using the QBlade wind turbine simulation tool. Different design parameters and wind conditions were changed one at a time, and data were collected to be further analyzed and used to train the ML models. …”
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Right ventricular dysfunction improves prediction of atrial fibrillation in hypertrophic cardiomyopathy: a cardiac magnetic resonance study by Shengxu Li, Xuanye Bi, Quanxu An, Yuhang Li, Chenyao Li, Deliang Shen

“…These findings underscore RV functional assessment as a critical tool in AF risk stratification for HCM patients.…”
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Recurrence prediction in chronic subdural hematomas: a risk stratification score based on 118 consecutive patients by Francesco M.C. Lioi, Jon Ramm-Pettersen, Andrea Fratini, Gabriele Dentato, Giovanni Facchinetti, Niccolo Colella, Luigi Rosito, Elena Furno, Camilla Riva, Andrea G. Ruggeri, Luca D'Angelo, Antonio Santoro, Alessandro Frati

“…The proposed grading system provides an effective preoperative tool for assessing CSDH recurrence risk, with a progressive increase in the recurrency rate between the three groups. …”
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Eating habits and certain anthropometric characteristics among individuals with type 2 diabetes mellitus in Banja Luka (Bosnia and Herzegovina) by Маја Šibarević, Jelena Malinović Pančić, Tamara Dojčinović, Rajko Roljić, Elvira Hadžiahmetović Jurida

“… Introduction: The analysis of healthy eating parameters in comparison with the anthropometric characteristics of individuals with type 2 diabetes mellitus can serve as a useful tool to prove that changes in glucose metabolism are related to dietary habits. …”
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Design and development of a PPE-assisted removal device for enhanced infection control in healthcare settings by Zhen Wan, Weikang Zhao, Jing Han, Yong Liu, Xiaodong Zhang, Wanjie Yang, Pengfei Shi

“…The findings support the adoption of PPE-assisted removal devices in healthcare settings as a critical tool for enhancing infection control and protecting healthcare workers. …”
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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…Individual tree segmentation (ITS) from terrestrial laser scanning (TLS) point clouds is foundational for deriving detailed forest structural parameters, crucial for precision forestry, biomass calculation, and carbon accounting. …”
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Las nuevas tecnologías en el proceso de enseñanza y aprendizaje. ¿Qué piensan los futuros maestros? / New technologies in the teaching and learning process. What do future teach... by Magdalena López Pérez

“…For that reason, within this framework, we are going to define the parameters that the process of learning and teaching with the information and communication technologies (ICT) offers as a cognitive tool with collaborative and interdisciplinary character. …”
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Approximation of the Profile of Gas Turbine Engine Blades by M. E. Soloviev, Y. N. Shuleva, S. L. Baldaev, L. Kh. Baldaev

“…This made it possible to provide high accuracy of approximation and construction of a continuous mapping for the parameters of the blade profile approximation. A Python application was created for automated processing of source profiles. …”
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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

“…With real‐time in situ monitoring and the cascaded soil property prediction model, the method framework can accurately simulate and predict wetland soil moisture and salinity patterns, providing a valuable tool for monitoring and managing these vulnerable ecosystems and better understanding of wetland responses to environmental changes and supports evidence‐based conservation.…”
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