General semi-implicit midpoint approximation for fixed point of almost contraction mapping and applications by Doaa Filali, Mohammad Akram, M. Dilshad, Ahmed A. Khidir

“…Also, we prove the stability of the suggested iterative scheme. Finally, suggested method and our main results are applied to examine a general variational inequality and a nonlinear integral equation.…”
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An Optimal Nonlinear Type-2 Fuzzy FOPID Control Design Based on Integral Performance Criteria Using FSM by M. Al-Momani Mohammad, Amneh Al-Mbaideen, Abdullah I. Al-Odienat, Khaled Mohammad Alawasa, Saba F. Al-Gharaibeh

“…A fractional-order fuzzy proportional integral derivative (PID) controller is a controller that combines the benefits of fractional calculus and fuzzy logic with the conventional PID controller. …”
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Characteristics of spatial detection capability for seismic response and data compensation method in underground mines by Changbin WANG, Anye CAO, Guangyao SI, Bing WANG, Xu YANG, Ning ZHANG, Yang YUE

“…Therefore, this study introduces the Probability-based Magnitude of Completeness (PMC) method in an underground coal mine. PMC method assesses the seismic wave picking capabilities of geophones, explores the spatial characteristics of seismic event detection probability within the seismic network, and proposes a detection probability-based seismic compensation method. …”
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Influence of Modal Decomposition Algorithms on Nonlinear Time Series Machine Learning Prediction Models in Engineering: A Case Study of Subway Tunnel Settlement by Qingmeng Shen, Yuming Wu, Limin Wan, Qian Chen, Yue Li, Zichao Liao, Wenbo Wang, Feng Li, Tao Li, Jiajun Shu

“…The settlement values of subway tunnels during the construction period exhibit significant nonlinear and spatial–temporal variation characteristics. To overcome the problems of historical data interference and spatiotemporal characteristics in tunnel settlement prediction models, this paper proposes a tunnel settlement prediction method based on data decomposition, reconstruction, and optimization. …”
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Predicting the impact of graphene oxide and its shapes on the thermal efficiency of Polyalphaolefin-40 using a mathematical model for wind turbine gearboxes by Aamina Ahsan, Amir Zanj, Ahsan Zafar, Najam Iqbal, Adeena Fatima, Wajid Khan, Muhammad Zain Yousaf, Baseem Khan, Josep M. Guerrero

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Feasibility of implementing family-integrated newborn care for hospitalised preterm and low birthweight infants in newborn care units of Ethiopia: a mixed-methods design by Hege Langli Ersdal, Araya Abrha Medhanyie, Damen Haile Mariam, Siren Rettedal, Znabu Hadush Kahsay

“…Objective To evaluate the feasibility of implementing family-integrated newborn care (FINC) for hospitalised preterm and low birthweight infants in Ethiopia. …”
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Temporal and spatial variations in the effect-based ecotoxicological assessment of streams by Delia Hof, Thomas Bing, Sebastian Heß, Jens Mayer, Jörg Oehlmann, Matthias Oetken

“…Abstract Background Water bodies are affected by chemical contamination, including micropollutants, which is not fully captured by conventional chemical monitoring methods. The inclusion of integrative, effect-based in vivo and in vitro methods in standardized assessment procedures offers the possibility of bridging discrepancies between chemical and biological assessments and has already been proposed in several studies. …”
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Frozen semen quality of Pasundan bulls with different individual variations by Abdullah Baharun, Pirda Parida Permadani Pertiwi, Annisa Rahmi, Natashya Chandra Rachmadanti, Ristika Handarini, Hikmayani Iskandar, Daud Samsudewa, Tulus Maulana, Syahruddin Said, Imam Darussalam, Nurcholis Nurcholis, Raden Iis Arifiantini

“…The quality of frozen semen is essential for the success of artificial insemination (AI), as individual variations in parameters such as sperm motility, viability, and membrane integrity greatly influence reproductive outcomes. …”
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The Solution of the Stationary Aeroelasticity Problem for a Separation Channel with Deformable Sinusoidal Walls by Demianenko M., Volf M., Pavlenko V., Liaposhchenko O., Pavlenko I.

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Evaluation of a robust PID dead-time compensation controller based on the evolutionary computation method by Arun Ramaveerapathiran, R. Muniraj, T. Jarin, S.R. Boselin Prabhu, M. Willjuice Iruthayarajan

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Free vibration of beams using stochastic finite element method considering three-dimensional randomness of material properties by Diem Dang Nguyen, Hien Duy Ta

“…The random material fields are discretized into random variables using the weighted integral method combined with the perturbation technique to obtain a first-order approximation of the eigenvalues of free vibration. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
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Single Underwater Image Restoration Using Variational Framework Guided by Imaging Model With Noise by Chenggang Dai, Mingxing Lin

“…To address these corruptions, a novel method is proposed to reconstruct high-quality underwater images, which is designed by integrating imaging model with noise and variational framework. …”
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Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

“…This method innovatively integrates double variational autoencoders and multi-information fusion techniques. …”
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Ocean Surface Wind Field Retrieval Simultaneously Using SAR Backscatter and Doppler Shift Measurements by Yulei Xu, Kangyu Zhang, Liwei Jing, Biao Zhang, Shengren Fan, He Fang

“…Sea surface wind retrieval methods using synthetic aperture radar (SAR) are generally classified into two categories: the direct inversion method and the variational analysis method (VAM). …”
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Effects of an integrated social-art intervention on cognitive and psychosocial outcomes among older adults with mild cognitive impairment in nursing homes: a mixed methods study by Chenshan Huang, Yuanjiao Yan, Wilson Wai San Tam, Wenqian Sun, Yu Ye, Nafang Wang, Yanhong Shi, Ziping Zhu, Danting Chen, Lin Chen, Junyu Zhao, Rong Lin, Hong Li

“…This study aimed to evaluate the effects of such an intervention on cognitive and psychosocial outcomes in older adults with MCI. Methods An explanatory sequential mixed-methods study was conducted, comprising a cluster randomized controlled trial (RCT) and a descriptive qualitative study. …”
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An innovative coverage optimization method for smart information monitoring in agricultural IoT using the multi-strategy Pelican optimization algorithm by Wei Chen, Qike Cao, Bingyu Cao, Bo Jin

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Numerical Study of Surrounding Rock Damage in Deep-Buried Tunnels for Building-Integrated Underground Structures by Penglin Zhang, Chong Zhang, Weitao Chen, Chunhui He, Yang Liu, Zhaofei Chu

“…Understanding the distribution characteristics of rock damage zones under these conditions is crucial for the design and safety of building-integrated underground structures. This study investigates the relationship between surrounding rock damage and in situ stress conditions through numerical simulation methods. …”
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Integrating Backscattered Electron Imaging and Multi-Feature-Weighted Clustering for Quantification of Hydrated C₃S Microstructure by Xin Wang, Yongjun Luo

“…Therefore, this study proposes a weighted K-means clustering method that integrates intensity gradients, texture variations, and spatial coordinates for the quantitative analysis of hydrated C₃S microstructure. …”
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