Comparing Clearances of Polymethylmethacrylate and Polysulfone Dialyzer Membranes for Postdilution Hemodiafiltration in Patients With Kidney Failure: Protocol for a Systematic Revi... by Cahyani Gita Ambarsari, Astrid Kristina Kardani, Agustina Wulandari, Nadhifah Nadhifah

“…This information could help clinicians determine which membrane to use in HDF. …”
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Sex differences in anaerobic performance in CrossFit® athletes: a comparison of three different all-out tests by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Domínguez, Javier Benítez-Porres

“…Methods A cross-sectional study was conducted over 2 weeks. …”
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Sensory Modality in Students Enrolled in a Specialized Training Program for Security Forces and Its Impact on Karate Performance Indicators by Ivan Uher, Ján Pivovarník, Mária Majherová

“…<b>Objectives:</b> The present study examined the sensory preferences adopted by students over three years of training in a specialized training program for security forces (STPSF). It determines their impact on karate performance metrics. …”
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Optimizing breast cancer ultrasound diagnosis: a comparative study of AI model performance and image resolution by Yunqing Yin, Junkui Fang, Wei Zhang, Xinying Shen

“…ObjectivesTo determine the optimal combination of artificial intelligence (AI) models and ultrasound (US) image resolutions for breast cancer diagnosis and evaluate whether this combination surpasses the diagnostic accuracy of senior radiologists.Materials and methodsWe systematically compared lightweight (MobileNet, Xception) and dense neural networks (ResNet50, DenseNet121) using three image resolutions (224 × 224, 320 × 320, 448 × 448 pixels). …”
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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…Therefore, there is an urgent need for effective methodologies to determine consolidation parameters within a shorter timeframe. …”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…Sentiment Analysis or opinion mining is NLP's method to computationally identify and categorize user opinions expressed in textual data.  …”
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Delivery of Timely Adjuvant Radiation Among Veterans With Head and Neck Cancer by Jasmine Gulati, Anuja Shah, Veranca Shah, Thomas Haupt, Amanda Walsh, Jessica H. Maxwell

“…Abstract Objective The objective of this study was to determine the rate at which veterans with head and neck squamous cell carcinoma (HNSCC) received care adhering to National Comprehensive Care Network (NCCN) guidelines for postoperative radiation and to identify factors associated with non‐adherence. …”
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Mirasol PRT system inactivation efficacy evaluated in platelet concentrates by bacteria-contamination model by Jocić Miodrag, Trkuljić Miroljub, Jovičić Dragana, Borovčanin Nemanja, Todorović Milena, Balint Bela

“…Methods. According to the ABO blood groups, PC units (n = 216) were pooled into 54 pools (PC-Ps). …”
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Segmentation for mammography classification utilizing deep convolutional neural network by Dip Kumar Saha, Tuhin Hossain, Mejdl Safran, Sultan Alfarhood, M. F. Mridha, Dunren Che

“…Consequently, many deep learning (DL)-based computer-aided diagnosis (CAD) approaches for BC classification have been developed. Methods Recently, the transformer model has emerged as a method for overcoming the constraints of convolutional neural networks (CNN). …”
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Body image dissatisfaction, depression, and anxiety in adolescents with celiac disease by Buket Daldaban Sarıca, Esra Demirci, Derya Altay, Duran Arslan

“…Therefore, periodic follow-up should be performed to determine body image satisfaction in adolescents with celiac disease and to recognize mood-related symptoms. …”
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An Analytical Approximation of the Stress Function for Conical Flywheels by Miguel Garcia, Onofre Orozco-López, Jesús Uribe-Chavira, Andrés Blanco-Ortega

“…The results confirmed that the proposed analytical approach provides a reliable and efficient alternative to numerical methods in the design and optimization of conical flywheels, offering practical value for early-stage engineering analysis and reducing reliance on time-intensive simulations.…”
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Three-Dimensional Phenotyping Pipeline of Potted Plants Based on Neural Radiation Fields and Path Segmentation by Xinghui Zhu, Zhongrui Huang, Bin Li

“…Although phenotypic analysis using two dimensional(2D) digital images is simple and efficient, leaf occlusion reduces the available phenotype information. …”
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Suppression of additive periodic low-frequency interference on eddy current defectograms by Leonid Y. Bystrov, Artemy N. Gladkov, Egor V. Kuzmin

“…Eddy current flaw detection is one of the popular methods of non-destructive rail testing. The data (defectograms) obtained from eddy current flaw detectors during rail testing are produced in large volume and therefore need in efficient automatic analysis. …”
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Evaluation of Different Anthropometric Indicators for Screening for Nonalcoholic Fatty Liver Disease in Elderly Individuals by Yan Zhang, Bo Li, Nan Liu, Peixi Wang, Jinghua He

“…LAP is closely related to the occurrence of NAFLD and could be an efficient screening and treatment tool for NAFLD in the elderly people. …”
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Effects of Some Feed Suplements Types to the Growth of Javaen Barb/Brek Fish (Puntius orphoides) Second Filial as Domestication Product by Priyo Susatyo, Sugiharto Sugiharto, Hana Hana, Titi Chasanah

“…The research used experimental methods. The method was a completely randomized design (CRD) of 4 treatments and 3 replicationsof: A = 100% pellet; B = 70% soybean sprout and 30% pellet; C = 70% <em>Ipomoea aquatica </em>leaf and 30% pellet; D = 35% soybean sprouts, 35% <em>I. aquatica </em>leaf and 30% pellet. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…However, traditional assessment methods are time-consuming and impractical, necessitating advanced predictive models. …”
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«Lighting price» of cucumber yield in the winter-spring turnover of greenhouses by A. V. Kurepin, A. F. Pershin, V. N. Shevkunov

“…Among the main factors that determine the productivity of vegetable yields in protected ground, the main one is light. …”
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Dendritic Gold Nanoparticles Loaded on 3D Graphene-like Surface and Layer-by-Layer Assembly for Enhanced Glucose Biosensing by Zifeng Zhu, Yiming Zhao, Yongming Ruan, Xuexiang Weng, Gesmi Milcovich

“…Furthermore, the GOD/chit⁺/PEDOT/AuDNs/EPLE also showed good accuracy of glucose determination in human serum samples. Conclusions: These findings highlight the potential of the GOD/chit⁺/PEDOT/AuDNs/EPLE composite electrode in the development of efficient enzymatic biofuel cells for glucose sensing and energy harvesting applications.…”
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An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…The Zebra Optimization Algorithm (ZOA) is a newly proposed biology-based metaheuristic method drawn from zebras in nature, designed to tackle optimization problems. …”
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Semi-supervised anomaly detection from Chlorella vulgaris cultivations using hyperspectral imaging by Salli Pääkkönen, Ilkka Pölönen, Pauliina Salmi

“…More evolved anomaly detection methods are needed to ensure efficient quality control of microalgae cultivations. …”
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