Prediction of anaerobic capacity from lactate kinetics during constant supramaximal test by روح الله نیکویی, مجید نظری, حمید معرفرتی

“…Purpose: The aim of present study was to investigate the prediction of anaerobic capacity from lactate kinetic during supramaximal exercise. …”
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Extraction of phenolic compounds from Pfaffia glomerata leaves and evaluation of composition, antioxidant and antibacterial properties by LARISSA MILLENA GIROTTO, SUELEN P.R. HERRIG, MARIA GRACIELA I.F. NUNES, OTAVIO A. SAKAI, BEATRIZ C.B. BARROS

“…Abstract This work aimed to evaluate the extraction conditions of total phenolic compounds (TPC) from Pfaffia glomerata leaves (PGLs) and characterize the extract obtained in the best conditions. …”
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Investigation of spiritual ıntelligence levels of active football players by Oğuzhan Yüksel, Sief Addeen Ra’ed Alkafaween, Orhan Demir, Aygül Oruç, Nergiz Erdem, Kakha Shamatava, Piyami Çakto, Ayla Karakullukçu

“… The aim of this study is to examine the spiritual intelligence levels of active soccer players according to various variables. …”
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Leveraging Artificial Intelligence in Public Health: A Comparative Evaluation of Machine-Learning Algorithms in Predicting COVID-19 Mortality by Eric B. Weiser

“…Objective: This study aimed to evaluate and compare the predictive performance of four ML algorithms – K-Nearest Neighbors (KNN), Random Forest, Extreme Gradient Boosting (XGBoost), and Decision Tree – in estimating daily new COVID-19 deaths. …”
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Associations of Hospital and Patient Characteristics with Fluid Resuscitation Volumes in Patients with Severe Sepsis: Post Hoc Analyses of Data from a Multicentre Randomised Clinic... by Peter Buhl Hjortrup, Nicolai Haase, Jørn Wetterslev, Anders Perner

“…<h4>Conclusions</h4>Hospital characteristics adjusted for patient baseline values were associated with differences in fluid resuscitation volumes given in the first 3 days of severe sepsis. …”
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MRI-based anatomical characterisation of lower-limb muscles in older women. by Erica Montefiori, Barbara M Kalkman, William H Henson, Margaret A Paggiosi, Eugene V McCloskey, Claudia Mazzà

“…However, a clear characterisation of these features, highly relevant for older individuals, is still lacking. This study hence aimed at characterising muscle volume, length, and physiological cross-sectional area (PCSA) and their variability, between body sides and between individuals, in a group of post-menopausal women. …”
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Development of sustained-release floating tablets of diltiazem hydrochloride by Hung Pham Van, Tung Nguyen Thanh, Nhat Hoang Thi Anh, Hieu Bui Trung, Uyen Dinh Thi Thu, Duyen Nguyen Thi Thanh

“…Dissolution results met United States Pharmacopeia standards, showing values of 26.99±0.97% at 6 hours, 50.31±0.40% at 12 hours, and 91.46±1.92% at 30 hours. …”
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An Interpretable Machine Learning Framework for Analyzing the Interaction Between Cardiorespiratory Diseases and Meteo-Pollutant Sensor Data by Vito Telesca, Maríca Rondinone

“…The model’s predictive accuracy was evaluated by comparing simulated values with observed historical data, thereby identifying the most influential environmental variables and critical exposure thresholds. …”
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Development of native and introduced tree species under two water regimes in Acaraú, Ceará by José Dionis Matos Araujo, João Alencar de Sousa, Alisson Moura Santos, Diva Correia, Antonio Marcos Esmeraldo Bezerra

“…ABSTRACT The aim of this study was to evaluate development in the following tree species: Acacia mangium Willd, Anadenanthera colubrina var. cebil (Griseb.) …”
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Experimental Investigation of Wall Confluent Jets on Transparent Large-Space Building Envelopes: Part 1—Application in Heating Greenhouses by Gasper Choonya, Alan Kabanshi, Bahram Moshfegh

“…Transparent envelopes allow natural light but challenge temperature regulation due to their low thermal mass and high U-values, which enable significant heat transfer between indoor and outdoor environments. …”
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Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes by M. A. Moradkhani, S. H. Hosseini, Mengjie Song, A. Abbaszadeh

“…Among them, the most accurate results were presented by the GPR approach with AARE and $$R^{2}$$ R 2 values of 4.10%, 99.23% respectively, in the testing step. …”
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High Serum Squamous Cell Carcinoma Antigen Level Associated with Remission of Mild/Moderate Dysplasia of the Esophagus: A Nested Case–Control Study by Hui Su, Kuiliang Liu, Yanjie Zhao, Feng Shi, Yuchen Li, Jiangping Wu, Qingkun Song

“…A predictive model for the outcome of dysplasia was comprised of the variables of SCCA, age, sex, education level, and baseline dysplasia grade. …”
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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…The results were interpreted using the Shapley additive explanations model to explore the potential relationship between the characterized factors and the target variables. In this paper, by analyzing the model interpretation and optimization results, the optimal values of each parameter are obtained to satisfy the optimization requirements. …”
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Developing a simple artificial intelligence fuzzy-based model for estimating saturated hydraulic conductivity of soil by Mohammad Naderianfar

“…During the training phase, the fuzzy model with four input variables (percentage of clay, silt, sand, and bulk density) had the highest correlation (r = 0.92), and considering other evaluation parameters (R2 = 0.84, MBE = 0.28 cm/hr, and RMSE = 1.64 cm/hr), it showed a good fit with the measured values. …”
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Exploring Life Satisfaction as a Bridge Between Taqwa and Psychological Well-Being in Muslim Adolescents by Dina Haya Sufya, Nurul Ain Hidayah Abas

“…Life satisfaction is a crucial component of psychological well-being, and its role as a mediator between religious practices, such as taqwa, and overall mental health in Muslim adolescents is an emerging area of interest. The research aims to bridge the gap in understanding how religious values, particularly the love and fear of Allah, influence life satisfaction and psychological well-being. …”
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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

“…Input variables included drilling time, caliper, weight on bit, flow rate, and rheological properties. …”
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The effect of coronary stent policies on the risk of percutaneous coronary intervention among acute coronary syndrome patients in Shanghai: Real-world evidence. by Zhenyi Shao, Dongzhe Lu, Yue Wang, Di Xue

“…<h4>Objective</h4>This study aimed to analyze the effect of coronary stent policies implemented in Shanghai on the risk of percutaneous coronary intervention (PCI) in acute coronary syndrome (ACS) inpatients based on real-world data.…”
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Differences in backcourt forehand clear stroke between novice players and experienced badminton players: based on body segment acceleration data by Hui Huang, Zhenxiang Guo, Minchen Zhao, Meng Liu, Jin Dai

“…Each participant performed 5 backcourt forehand clear strokes, and acceleration data were collected at 100 Hz. The mean values from the 5 repetitions were used for statistical analysis to ensure reliability and reduce variability. …”
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Advanced computational approaches for predicting sunflower yield: Insights from ANN, ANFIS, and GEP in normal and salinity stress environments. by Sanaz Khalifani, Reza Darvishzadeh, Majid Montaseri, Sarvin Zaman Zad Ghavidel, Hamid Hatami Maleki, Mojtaba Kordrostami

“…Prediction of crop yield is essential for decision-makers to ensure food security and provides valuable information to farmers about factors affecting high yields. This research aimed to predict sunflower grain yield under normal and salinity stress conditions using three modeling techniques: artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS), and gene expression programming (GEP). …”
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Influence of physical loading on behavioral reactions of rats in cerebral hypoperfusion by V. V. Сhrishtop, T. A. Rumyantseva, V. G. Nikonorova, I. V. Fateev

“…A number of clinical studies demonstrate that individual characteristics such as stress tolerance and cognitive ability can be considered not only as diagnostic variables but also as risk factors for severe cerebral hypoperfusion. …”
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