Exploring patterns of heart rate variability in major depressive disorder: A short-term study in Jaipur, Rajasthan by Sunidhi sharma, Sudhanshu Kacker, Neha Saboo

“…Methods: This observational study was conducted at RUHS College of Medical Sciences and Associated Hospitals, Jaipur, from July 2022 to January 2023, on a major depressive disorder population of either sex in the age group of 20-40 years. Cognitive functions were assessed using a questionnaire, and AD instruments recorded heart rate variability variables (time & frequency domain) using a digital physiograph (MLT004/ST). …”
Get full text

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. …”
Get full text

Model-Based Control Allocation During State Transitions of a Variable Recruitment Fluidic Artificial Muscle Bundle by Jeong Yong Kim, Matthew Bryant

“…FAMs can be bundled together in parallel to exhibit variable recruitment functionality, which is an activation strategy inspired by how motor units (MUs) in skeletal muscle are recruited. …”
Get full text

Intelligent trajectory tracking algorithm for autonomous robots under membrane computing by YAO Jiangyun, WU Fangyuan

“…Finally, based on the multi-step parallel membrane structure, a feasible autonomous robot trajectory path was found, and a sliding mode variable structure function was used to design the control rate. …”
Get full text

Genetics of Physiological Variation Within and Between Larval Wild-Type AB and Backcrossed NHGRI-1 Zebrafish (<i>Danio rerio</i>) by Gil Martinez-Bautista, Moira Ryann Cartee, Dyuksha Kunder, Crystelle Lee, Karol Tang, Neha Nagarajan, Pamela Padilla, Warren Burggren

“…To explore the role of genetics in physiological variation, we assessed variation of cardiac function (heart rate, stroke volume, and cardiac output), oxygen consumption, yolk conversion efficiency, and cost of development in embryonic and larval AB wild-type and NHGRI-1 zebrafish (low heterozygosity line backcrossed from AB wild-type) exposed to different temperature and oxygen regimes. …”
Get full text

An Operational Matrix Technique Based on Chebyshev Polynomials for Solving Mixed Volterra-Fredholm Delay Integro-Differential Equations of Variable-Order by Kamal R. Raslan, Khalid K. Ali, Emad M. H. Mohamed, Jihad A. Younis, Mohamed A. Abd El salam

Get full text

Investigating fluctuation varieties in the propagation of the perturbed KdV equation with time-dependent perturbation coefficient by Marwan Alquran

“…By assigning various functional forms such as periodic, polynomial, and decaying exponential, to the proposed time-dependent coefficient, novel solitary wave patterns of types like-breather, regular(singular)-bell shaped, and periodic solutions are emerged with fluctuations. …”
Get full text

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.…”
Get full text

Method for solving mixed boundary value problems for parabolic type equations by using modifications Lagrange-Sturm-Liouville operators by Alexandr Trynin

Get full text

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

Get full text

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

Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

“…In this method, the Variable Frequency Control Technique (VFCT) is introduced in half-bridge DWCS with S-S and LCC-S compensations. …”
Get full text

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.…”
Get full text

NIRSpredict: a platform for predicting plant traits from near infra-red spectroscopy by Axel Vaillant, Grégory Beurier, Denis Cornet, Lauriane Rouan, Denis Vile, Cyrille Violle, François Vasseur

“…Summary Near-infrared spectroscopy (NIRS) has become a popular tool for investigating phenotypic variability in plants. We developed the Shiny NIRSpredict application to get predictions of 81 Arabidopsis thaliana phenotypic traits, including classical functional traits as well as a large variety of commonly measured chemical compounds, based from near-infrared spectroscopy values based on deep learning. …”
Get full text

A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
Get full text