Brain activation and heart rate variability as markers of autonomic function under stress by Annika Huber, Julian Koenig, Bastian Bruns, Martin Bendszus, Hans-Christoph Friederich, Joe J. Simon

“…Since the neural dynamics underlying brain–heart interactions remain poorly understood, this study investigated brain activation and heart rate variability (HRV) during stress and relaxation. Functional magnetic resonance imaging (fMRI) and peripheral heart rate assessment were used to assess brain–heart coupling during breathing-induced relaxation, psychosocial stress and stress recovery in 32 healthy participants. …”
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Effects of adjustable and control parameters on performance characteristics of multi-controlled variable displacement pump by Duy-Dat Nguyen, Dinh-Vu Dang, Minh-Kha Nguyen, Van-Hai Trinh

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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…As a result, few fully functional variable-rate spraying systems have been developed based on this parameter.MethodsThis study presents a variable-rate spraying method that integrates global navigation satellite system (GNSS) positioning with wind-excited audio-conducted estimation of canopy leaf area density. …”
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Experimental Study on Optimal Refrigerant Charge of Multi-functional Air-conditioning Hot Water Heater by Wang Haifeng, Zhang Shoubing, Yuan Huihui, Sun Yajuan, Li Yuduo, Dong Shanshan

“…A new type of double-flow accumulator was developed, which can automatically adjust the amount of circulating refrigerant on the system of multi-functional air-conditioning/hot-water heater so that the system was more stable and efficient under multi-working modes. …”
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Regional Variability in Growth and Leaf Functional Traits of <i>Mitragyna speciosa</i> in Thailand by Suthaporn Chongdi, Suwimon Uthairatsamee, Chatchai Ngernsaengsaruay, Tushar Andriyas, Nisa Leksungnoen

“…This study examined the leaf functional traits associated with kratom’s growth in the southern (native habitat), central, and northeastern regions of Thailand. …”
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Complexity Reduction in the Use of Evolutionary Algorithms to Function Optimization: A Variable Reduction Strategy by Guohua Wu, Witold Pedrycz, Haifeng Li, Dishan Qiu, Manhao Ma, Jin Liu

“…We propose a knowledge-based variable reduction strategy (VRS) that can be integrated into EAs to solve unconstrained and first-order derivative optimization functions more efficiently. …”
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Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

“…SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. …”
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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. …”
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ResPoNet: A Residual Neural Network for Efficient Valuation of Large Variable Annuity Portfolios by Heng Xiong, Jie Xu, Rogemar Mamon, Yixing Zhao

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Application of the Complex Variable Function Method to SH-Wave Scattering Around a Circular Nanoinclusion by Hongmei Wu

“…This paper focuses on analyzing SH-wave scattering around a circular nanoinclusion using the complex variable function method. The surface elasticity theory is employed in the analysis to account for the interface effect at the nanoscale. …”
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A Novel High-Efficiency Variable Parameter Double Integration ZNN Model for Time-Varying Sylvester Equations by Zhe Peng, Yun Huang, Hongzhi Xu

“…In this paper, a High-Efficiency Variable Parameter Double Integration Zeroing Neural Network (HEVPDIZNN) model combining variable parameter function and double integration is proposed to solve the time-varying Sylvester matrix equations, using the decreasing function with a large initial value as the variable parameter. …”
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Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing approach. by Pradeep Kumar, Sur Singh Rawat, Kakoli Banerjee, Ayodeji Olalekan Salau, Gyanendra Kumar, Niraj Singhal

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On Productiveness and Complexity in Computable Analysis Through Rice-Style Theorems for Real Functions by Jingnan Xie, Harry B. Hunt, Richard E. Stearns

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A Sparse Variable Step-Size Least-Mean-Square Algorithm for Impulsive Noise in a Code-Division Multiple Access System by Mohammad Salman, Ahmed A. F. Youssef, Fahmi Elsayed, Mostafa Rashdan

“…The proposed algorithm makes use of an arctan constraint in the cost function of the algorithm. This constraint enforces a zero attraction of the filter coefficients based on the relative value of each filter coefficient among all entries. …”
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Estimated Glomerular Filtration Rate Variability and Incident Heart Failure in Adults With Type 2 Diabetes by Arnaud D. Kaze, MD, MPH, Chiadi E. Ndumele, MD, PhD, Bernard G. Jaar, MD, MHS, Prasanna Santhanam, MBBS, MD, Beeletsega T. Yeneneh, MD, MS, Farouk Mookadam, MD, Roderick Tung, MD, Gregg C. Fonarow, MD, Deidra C. Crews, MD, ScM, Justin B. Echouffo-Tcheugui, MD, PhD

“…Background: Variability in kidney function, as measured by estimated glomerular filtration rate (eGFR), has been proposed as a novel risk factor for adverse cardiovascular outcomes. …”
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An Efficient Line Search Algorithm for Large Scale Optimization by Abbas Al-Bayati, Ivan Latif

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High-efficient RPL routing for analyzing mobility of nodes by Huibin XU

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Evaluating functional traits of urban green spaces in mitigating land surface temperature in megacities by Manjari Upreti, Amit Kumar

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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…Compared with discrete-variable quantum key distribution (DVQKD) protocol that has been widely used in power system, the continuous-variable quantum key distribution (CVQKD), which uses continuous variables to perform QKD protocol, has such advantages as simple equipment, high detection efficiency and good compatibility, and has attracted wide attentions. …”
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Cross-subject affective analysis based on dynamic brain functional networks by Lifeng You, Tianyu Zhong, Erheng He, Xuejie Liu, Qinghua Zhong

“…However, due to inter-subject variability and non-smoothness of EEG signals, the generalization performance of models across subjects remains a challenge.MethodsIn this study, we proposed a novel approach that combines time-frequency analysis and brain functional networks to construct dynamic brain functional networks using sliding time windows. …”
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