Beyond Global Metrics: The U-Smile Method for Explainable, Interpretable, and Transparent Variable Selection in Risk Prediction Models by Katarzyna B. Kubiak, Agata Konieczna, Anna Tyranska-Fobke, Barbara Więckowska

“…Variable selection (VS) is a critical step in developing predictive binary classification (BC) models. …”
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Analysis of Bulk Queueing Model with Load Balancing and Vacation by Subramani Palani Niranjan, Suthanthiraraj Devi Latha, Sorin Vlase, Maria Luminita Scutaru

“…Cloud computing using power BI can be analyzed based on server load balancing. The function that determines the probability of the queue size at any given time is derived for the specified queueing model using the supplementary variable technique with the remaining time as the supplementary variable. …”
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Gene function revealed at the moment of stochastic gene silencing by Shreyan Gupta, James J. Cai

“…In this study, we introduce the single-cell Stochastic Gene Silencing (scSGS) method, which leverages the natural variability in single-cell gene expression to decipher gene function. …”
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Risk factors for diabetic autonomic cardiovascular neuropathy in children and adolescents with type 1 diabetes mellitus by Maria Rustemovna Shaidullina, Farida Vadutovna Valeeva, Eduard Zakirzyanovich Yakupov

“…A diagnostic algorithm for DACN in children and adolescents with type 1 diabetes mellitus based on orthostatic HRV variability assessment shows high sensitivity and efficiency.…”
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Acute effects of resistance exercise intensity and repetition at a predetermined volume on inhibitory control: a randomized controlled trial by Ying-Chu Chen, Yan-Ho Lo, Chen-Sin Hung, Yi-Ting Cheng, Ruei-Hong Li, Feng-Tzu Chen, Yu-Kai Chang, Yu-Kai Chang

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Microbiological dimensions and functions in constructed wetlands: A review by Anju Rani, Mansi Chauhan, Pradeep Kumar Sharma, Mansi Kumari, Debasis Mitra, Samiksha Joshi

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Integration of Routine Parameters of Glycemic Variability in a Simple Screening Method for Partial Remission in Children with Type 1 Diabetes by Nina Nielens, Olivier Pollé, Annie Robert, Philippe A. Lysy

“…With a threshold of 4.5, this alternative formula predicted partial remission with a sensitivity and a specificity of 72.3% and 92%, respectively, and yielded strong correlation with IDAA1C levels and BETA-2 score, which is a correlate of β-cell function after islet transplantation. We propose GTAA1C, based on routine and objective markers of glycemic variability, as a valid alternative for definition of partial remission in type 1 diabetes.…”
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How Can We Manage Repairing a Broken Finite Vibrating String? Solutions to the Problem I by Vladimir L. Borsch

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A Novel Variable-Step Algorithm for DC-Side Voltage Stability Control Strategy in UPQC to Improve Power Quality by Kai Song, Ningning Li, Cong Li, Zihui Lian, Hongxu Li, Jiawen Sun, Shulin Jiang, Boyan Huang

“…Simulation results demonstrate that the proposed arctangent function-based variable step-size algorithm (VAV-LADRC) strategy effectively improves the UPQC system’s performance in mitigating voltage sags, swells, and harmonics under dynamic load changes, enhancing the stability of the DC-side voltage. …”
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Analysis and implementation of variable frequency controlled dynamic wireless charging system with half-bridge multi-leg converter topology by Aganti Mahesh, Bharatiraja Chokkalingam, Sanjeevikumar padmanaban, C. Santhakumar

“…Each leg of the inverter functions independently for a transmitter coil, effectively reducing overall system costs. …”
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Developing an ISO11783-compliant prescription map for variable rate spraying in vineyards based on 3D canopy reconstruction by Björn Poss, Nikos Tsoulias, Galibjon M. Sharipov, Andreas Heiß, Dimitrios S. Paraforos

“…This correlation's linear regression was used to calculate dose rates, leading to the successful development of a grid-based prescription map in ISO-XML format, compatible with ISOBUS Task Controller functionality. The resulting map enables variable dose rates per meter of the leaf wall, allowing independent adjustments for the left and right sides of the sprayer simultaneously.…”
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The impacts of different eyes, individual differences, and different time points in healthy rats on the variability of visual electrophysiological examination indicators by Hong Chen, Yu Cheng, Ke Diao, YiFan Wang, Jing An, Haijiang Zhang, RongRong Li, Dan Zhang, SuMian Cheng, Minglian Zhang, LiFei Wang

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Optimal tacrolimus levels for reducing CKD risk and the impact of intrapatient variability on CKD and ESRD development following liver transplantation by Soon Kyu Lee, Ho Joong Choi, Young Kyoung You, Pil Soo Sung, Seung Kew Yoon, Jeong Won Jang, Jong Young Choi

“…The tacrolimus doses and levels were recorded every 3 months, and the IPV was calculated using the coefficient of variability. The cumulative incidence rates of CKD and ESRD were calculated based on baseline kidney function at the time of LT. …”
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Comparative study of nosZI and nosZII clade isolates: insights into their responses to environmental variables and soil fertilization types by Haoran Li, Qishi Luo, Lichao Sun, Huicui Xu, Xiaodong Hao, Kai Zhu, Ming Li, Bao Li, Wei Jiao, Jibiao Geng, Zhiqun Chen, Lihua Huang, Zongwei Xia

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Variable Dose-Constraints Method Based on Multiplicative Dynamical Systems for High-Precision Intensity-Modulated Radiation Therapy Planning by Omar M. Abou Al-Ola, Takeshi Kojima, Ryosei Nakada, Norihisa Obata, Kohei Hayashi, Tetsuya Yoshinaga

“…In our previous work, we proposed a dynamical systems-based approach in which dose constraints, along with beam coefficients, are treated as state variables and dynamically evolve within a continuous-time system. …”
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A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy by Hubin Liu, Na Liu, Yuhui Yuan, Cihai Zhang, Longlian Zhao, Junhui Li

“…The method had two objective functions: (1) maximizing the sum of ratios of interclass variance to intraclass variance, (2) minimizing the sum of correlation coefficients between the selected variables. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Abstract This study aims to improve both the evaluation accuracy and the real-time feedback capability in monitoring athletes’ physical function changes during volleyball training. Firstly, based on the framework of the generalized regression neural network, a variable-structure generalized regression neural network (VSGRNN) is proposed and developed. …”
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A new method to solve multi-objective linear fractional programming problem in fuzzy stochastic environment by Ajeet Kumar, Babita Mishra

“…In this problem, the fuzzy random variables coefficient is involved as the parameters of the objective function as well as system constraints. …”
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