APSIM NG Model Simulation of Soil N₂O Emission from the Dry-Crop Wheat Field and Its Parameter Sensitivity Analysis by Yanyan Li, Yao Yao, Mengyin Du, Lixia Dong, Jianyu Yuan, Guang Li

“…Process-based crop growth models, as an important analytical tool in agricultural production, face the problem of calibrating many parameters during the application process, and sensitivity analysis (SA) can quantify the effects of the model input parameters on the model output and provide an important basis for parameter calibration. …”
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Modifying reaction time tasks parameters in the automated IntelliCage identifies heightened impulsivity and impaired attention in the 3xTg-AD model of Alzheimer’s disease by Jessica M. Judd, Wendy Winslow, Ian McDonough, Faizan Mistry, Ramon Velazquez, Ramon Velazquez, Ramon Velazquez

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Machine learning for detection of diffusion abnormalities-related respiratory changes among normal, overweight, and obese individuals based on BMI and pulmonary ventilation paramet... by Xin-Yue Song, Xin-Peng Xie, Wen-Jing Xu, Yu-Jia Cao, Bin-Miao Liang

“…Notably, the RF algorithm emerged as the most effective diagnostic tool for distinguishing between DN and DA, achieving an area under the curve (AUC) of 0.983, considerably outpacing other algorithms like BAYES, SVM, AdaBoost, and KNN (P < 0.01). …”
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Interpretability in deep learning for finance: A case study for the Heston model by Damiano Brigo, Xiaoshan Huang, Andrea Pallavicini, Haitz Sáez de Ocáriz Borde

“…Deep learning is a powerful tool whose applications in quantitative finance are growing every day. …”
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Application of machine learning to growth model in fisheries by Semra Benzer, Recep Benzer, Ali Gül

“…Machine learning (ML) techniques have recently gained attention as a powerful tool for enhancing predictive accuracy in biological studies. …”
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Weather-Driven Cycling: Developing a Predictive Model for Urban Bicycle Usage Based on Five Key Weather Factors by Nahid Falah, Nadia Falah, Jaime Solis-Guzman

“…The statistical analyses reveal strong correlations between weather parameters and cycling activity, highlighting each factor’s unique influence. …”
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Influencing factors and variation laws of ventilation and heat dissipation characteristics of Φ15 m shield tunnel by Yimin Xia, Yongchao Zhou, Yazhou Zhang, Xuemeng Xiao, Zixiong Zhou

“…Furthermore, the study establish empirical correlations between key influencing factors and velocity/temperature distributions based on simulation data, providing a valuable tool for assessing ventilation performance and optimizing design parameters in shield tunnel engineering applications.…”
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An In Situ Characterisation Method for 3-D Electrospun Foams by Kyriakos Almpanidis, Chloe J. Howard, Vlad Stolojan

“…It can be used as a fundamental step for an intelligent artificial intelligence tool that predicts optimal foam formation.…”
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Exploring Equilibrium Points in a Long-term Glucose-insulin Model for Type I Diabetes: MPC Application in Automated Insulin Delivery Systems Using Functional Insulin Therapy Tools by Amor Hamata, Salim Aissi

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Scientific basis for design low-speed synchronous permanent magnet generators for wind power plants by A. A. Tatevosyan

“…At the same time, the methodology for optimizing the parameters of WPP is understood as a tool for the scientific basis of design, which takes into account quality indicators and optimality criteria, energy and technical characteristics, as well as design stages with the results of preliminary and verification calculations. …”
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Cost of “Ideal Minimum Integrated Care” for Type 2 Diabetes and Hypertension Patients in Cambodia Context: Provider Perspective by Sokunthea Yem, Srean Chhim, Edwin Wouters, Josefien Van Olmen, Por Ir, Grace Marie Ku

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An evaluation model and its application of low-pressure abrasive air jet slitting hard rock by Jianping WEI, Yubo CAI, Tiegang ZHANG, Yi XUE, Songtao JI, Changjiang CHEN, Huidong ZHANG, Yong LIU

“…Low-pressure abrasive air jet technology is one of the most promising methods for addressing the issues of low efficiency and significant tool wear in hard-rock drilling, owing to its strong rock-breaking capability and low energy consumption. …”
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Optimal exercise temporal parameters of Traditional Chinese Exercises for cognitive function of older adults with mild cognitive impairment: a systematic review and dose–response m... by Qingpan Wen, Qin Luo, Yangjun Liu, Lu Li, Marcin Białas, Dominika Wilczyńska

“…Data from the selected studies were extracted, and the risk of bias was assessed using the RoB2 tool. The quality of the included studies was evaluated using the PEDro scale. …”
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Morphokinetic Analyses of Fishing Cat–Domestic Cat Interspecies Somatic Cell Nuclear Transfer Embryos Through A Time-Lapse System by Hai-Jun Liu, Serena Jocelyn Wai Yin Oh, Nicole Liling Tay, Christina Yingyan Lim, Chia-Da Hsu, Delia Hwee Hoon Chua, Winnie Koon Lay Teo, Yuin-Han Loh, Soon Chye Ng

“…A time-lapse imaging system is potentially a powerful tool for selecting early embryos with developmental potential for transfer, and hence, for improving feline iSCNT efficiency.…”
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Greenness of extraction procedures involving biochar-based sorbents for organic compounds by Francesca Merlo, Andrea Speltini, Antonella Profumo

“…At this purpose, two metric tools specific for the sample preparation, as AGREEprep and Sample Preparation Metric of Sustainability (SPMS), have been selected to give comprehensive evaluations about greenness, considering multiple criteria but with different weights and intervals in the parameters. …”
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Elucidating the Effects of Material Flow from Deposition Offset on AFSD Repair of AA7050 by Victor A. Rojas, Ismael Y. Hidalgo, Khaled Matalgah, Trevor J. Fleck, Luke N. Brewer, Gregory W. Kubacki, J. Brian Jordon, Paul G. Allison

“…In this work, the effects of tool bias as a processing parameter on an additive friction stir deposition repair of AA7050-T7451 plates were investigated. …”
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Sustainable Agriculture Through Compost Tea: Production, Application, and Impact on Horticultural Crops by Emanuela Campana, Michele Ciriello, Matteo Lentini, Youssef Rouphael, Stefania De Pascale

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Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction t... by Kaitlin Swinnerton, Nathanael R. Fillmore, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach, Westyn Branch-Elliman

“…The aim of this study was to develop and prospectively validate a tool to predict absolute risk of severe COVID-19 incorporating dynamic parameters at the patient and population levels that could be used to inform clinical care. …”
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Data-driven strategies for digital native market segmentation using clustering by Md Ashraf Uddin, Md. Alamin Talukder, Md. Redwan Ahmed, Ansam Khraisat, Ammar Alazab, Md. Manowarul Islam, Sunil Aryal, Ferdaus Anam Jibon

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A STUDY OF IMMUNOGENIC AND PROTECTIVE PROPERTIES OF THE HEAT-STABLE LETHAL TOXIN OF YERSINIA PSEUDOTUBERCULOSIS AND ITS EFFECTS UPON HEMATOLOGICAL AND BLOOD CYTOKINE PARAMETERS OF... by A. V. Tsybulsky, N. F. Timchenko, E. Ya. Kostetsky, N. S. Vorobieva

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