Dynamics of a Nonlinear Energy Harvesting System in Time-Delayed Feedback Control under Stochastic Excitations by Shuling Zhang, Ying Zhang, Zhongkui Sun, Xiaxia Duan

“…An equivalent decoupling system can be obtained by using a variable transformation. Based on the standard stochastic averaging method, the Fokker–Plank–Kolmogorov equation and the stationary probability density functions of the amplitude, displacement, and velocity of the harvester are obtained, respectively. …”
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Steps to Avoid Falls in the Elderly – a TECHnology Enhanced Intervention (SAFE-TECH) study: randomized controlled trial protocol for a community-based, multi-component fall prevent... by Wei Xuan Lai, Vanessa Koh, Jing Wen Goh, Kok Yang Tan, Kai Zhe Tan, Sai G. S. Pai, William R. Taylor, Abhijit Visaria, Navrag B. Singh, Angelique W. M. Chan, David B. Matchar

“…In previous research, exercise interventions have been effective in improving functional outcomes and reducing falls for a broad group of older adults. …”
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The Role of the Gut Microbiome in Exercise-Induced Inflammation and Recovery: A Narrative Review by Stanisław Dudek, Weronika Koziak, Aleksandra Bętkowska, Agata Kornacka, Kamila Szostak, Rafał Tomaka, Michalina Makieła, Wojciech Dudek, Anna Byra

“…While moderate exercise enhances immune function and microbial diversity, excessive training can lead to gut dysbiosis, increased intestinal permeability, and chronic inflammation. …”
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Three Decades of Land Cover Dynamics in a Boreal Coastal Basin: A Multisensor Spectral Index and Machine Learning Approach Using Landsat Data and GB-SAR Data by Jinsong Zhang, Bochi Zou, Yifei Yuan, Asad Khan, Muhammad Bilawal Junaid, Qaiser Abbas, Rana Muhammad Zulqarnain, Nazih Y. Rebouh, Olga D. Kucher, Hassan Alzahrani

“…Boreal coastal habitats, with their complex hydrological, ecological, and geological functions, play a pivotal role in regulating regional climate, supporting biodiversity, and sustaining local communities. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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PileBetaGR: An R-based integrative tool for predicting the geometric reliability index of piles using load-displacement curves by Xing Zheng Wu

“…The application compiles a series of functions for analyzing load-displacement data: (i) a power law regression is used to fit each load-displacement curve, yielding a set of regression parameters for the site; (ii) a normal copula model is established to fit the joint distribution of these regression variables, allowing a geometric reliability index to be computed; (iii) the critical environmental contour is determined based on the joint probability density function and the limit state function. …”
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Optimizing the Construction Supply Chain Network Considering the Flow of Materials, Equipment, Manpower, Drawings and Technical Documents by Seyed Saeid Helli, Hadi Mokhtari, Saeed Dehnavi

“…All indices, parameters, decision variables, objective functions and constraints have been introduced and presented in the proposed model. …”
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Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest by Tássia Fraga Belloli, Diniz Carvalho de Arruda, Laurindo Antonio Guasselli, Christhian Santana Cunha, Carina Cristiane Korb

“…Models and sensor performance and spectral variable importance were compared. In our results, NL sample data RF models proved more accurate. …”
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Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

“…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive D... by Duc Nam Nguyen, Thanh-Phong Dao, Ngoc Le Chau, Van Anh Dang

“…The optimization problem considers three design variables and two objective functions. An efficient hybrid optimization approach of central composite design (CDD), finite element method (FEM), Kigring metamodel, and multiobjective genetic algorithm (MOGA) is developed. …”
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Inverse problem of life cycle assessment (LCA): its application in designing for environment (DfE) by Rybaczewska-Błażejowska Magdalena, Masternak-Janus Aneta, Gierulski Wacław

“…The dependencies between input and output signals were defined by nonlinear functions of several variables. Next, linearization was used and coefficient aki was calculated. …”
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Finding the optimal probe state for multiparameter quantum metrology using conic programming by Masahito Hayashi, Yingkai Ouyang

“…The algorithm involves a conic program, which minimizes a linear objective function subject to conic constraints on a operator-valued variable. …”
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An Analytical Solution for Natural Frequencies of Elastically Supported Stepped Beams with Rigid Segments by Ferid Kostekci

“…After deriving the transverse displacement functions by means of using the separation-of-variables technique, the frequency equation was found by setting the determinant of the coefficient matrix to zero. …”
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Extreme combination of wind effects and analysis of wind load characteristics for low-rise buildings by Haiwei Guan, Yuji Tian, Yuliang Qi, Weihu Chen

“…Based on transcendental probability theory, the probability density functions of two non-Gaussian scalar sums of wind effects are derived from the relationship between the probability density of the sum of random variables and the joint probability density function of sub-random variables by Hermite polynomial transformation. …”
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Immunological Avalanches in Renal Immune Diseases by Davide Viggiano, Pietro Iulianiello, Antonio Mancini, Candida Iacuzzo, Luca Apicella, Renata Angela Di Pietro, Sarah Hamzeh, Giovanna Cacciola, Eugenio Lippiello, Andrea Gigliotti, Carmine Secondulfo, Giancarlo Bilancio, Giuseppe Gigliotti

“…Two distinct dynamic patterns emerged: large oscillations in eGFR, proteinuria, or biological age predicted declining function, while small oscillations indicated stability. …”
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Development and validation of a novel prediction model for osteoporosis: from serotonin to fat-soluble vitamins by Jinpeng Wang, Lianfeng Shan, Jing Hang, Hongyang Li, Yan Meng, Wenhai Cao, Chunjian Gu, Jinna Dai, Lin Tao

“…Stepwise discriminant analysis was performed to identify efficient predictors for osteoporosis. The prediction model was developed based on Bayes and Fisher’s discriminant functions, and validated via leave-one-out cross-validation. …”
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Early Predictive Value of the Glucose‐to‐Lymphocyte Ratio for the Occurrence of Stroke‐Associated Pneumonia by Fuqiang Zhou, Liju Ma, Min Li, Haijiang Li, Heying Yang, Ye Xu, Kuankuan Dang, Fengchen Gao, Haimei Sun

“…The GLR was converted into a categorical variable for trend testing, and compared the predictive efficiency of GLR through the receiver operating characteristic (ROC) curve and Bonferroni correction analysis. …”
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Modeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithms by Nurcan Öztürk

“…In conclusion, it is shown that Jaya and TLBO algorithms can be used in the optimization of the regression function coefficients in modelling some air pollutants interactions and the best-fit equation for each parameter is obtained from the quadratic function.…”
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Comparative Analysis of Fully Guided and Free-Hand Orthognathic Surgery: Advancements, Precision, and Clinical Outcomes by Sophia Tsokkou, Ioannis Konstantinidis, Antonios Keramas, Georgios Kiosis, Kanellos Skourtsidis, Danai Alexiou, Georgia-Nektaria Keskesiadou, Sofia Karachrysafi, Theodora Papamitsou, Ioannis Chatzistefanou

“…Key parameters analyzed include surgical precision, operative efficiency, complication rates, and functional/aesthetic results. …”
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Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

“…First, it is assumed that the required structure–property equation has a definite form and depends on several adjusted numerical parameters and two changeable functions of one variable. In this step, from some set of functions, the pair of functions that provide the best model is selected. …”
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