Altitudinal patterns of bacterial communities across soil layers in the alpine meadows of the Qinghai-Tibet Plateau by Zhiyuan Chen, Yeteng Xu, Xinyue Wang, Tong Ma, Yang Liu, Xiang Qin, Wei Zhang, Tuo Chen, Guangxiu Liu, Binglin Zhang

“…Microorganisms in the soils of alpine meadows on the Qinghai-Tibet Plateau are pivotal in sustaining ecosystem functionality and stability. The community structure and functional composition of these microbes exhibit pronounced altitudinal variations; however, specific distribution patterns across different soil layers remain inadequately elucidated within alpine meadow ecosystems. …”
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Trajectory Based Prioritized Double Experience Buffer for Sample-Efficient Policy Optimization by Shengxiang Li, Ou Li, Guangyi Liu, Siyuan Ding, Yijie Bai

“…However, policy gradient methods commonly involve function approximation and work in an on-policy fashion, which leads to high variance and low sample efficiency. …”
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Effect Invitro Activation on the Spermiograms of ligozoospermic Patients by Yahya k. Al–Sultani, Mohsin k. Al-Murshdi

“… Objective: The objective of this study was to improve certain sperm function parameters in vitro of oligozoospermic patients and other mild male factors using sperm activation techniques such as swim-up and density gradient. …”
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Three-Dimensional Reconstruction of Zebra Crossings in Vehicle-Mounted LiDAR Point Clouds by Zhenfeng Zhao, Shu Gan, Bo Xiao, Xinpeng Wang, Chong Liu

“…Finally, a matching template is selected, and an energy function composed of the average intensity of the point cloud within the template, the intensity information entropy, and the intensity gradient at the template boundary is constructed. …”
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Ultrasound-triggered drug release and cytotoxicity of microbubbles with diverse drug attributes by Chi-Fen Chuang, Chia-Wei Lin, Chih-Kuang Yeh

“…This study investigates Camptothecin-loaded MBs (CPT-MBs) and Doxorubicin-loaded MBs (DOX-MBs), focusing on how properties such as hydrophilicity, hydrophobicity, and charged functional groups affect their interaction with the lipid surfaces of MBs, thereby influencing the fundamental characteristics and acoustic properties of the drug-loaded MBs. …”
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Impact of discharge regulation on zooplankton communities regarding indicator species and their thresholds in the cascade weirs of the Yeongsan River by Hyo Gyeom Kim, Chaehong Lim, Taesung Kim, Jeong-Hui Kim, Hyun-Woo Kim

“…Discharge regulation in rivers with cascade weirs profoundly alters natural flow dynamics, impacting habitat characteristics and leading to the homogenization of community structure and function. Identifying indicator species and their ecological thresholds is crucial for effectively monitoring and assessing the ecological conditions of regulated river systems. …”
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A Gravity Data Denoising Method Based on Multi-Scale Attention Mechanism and Physical Constraints Using U-Net by Bing Liu, Houpu Li, Shaofeng Bian, Chaoliang Zhang, Bing Ji, Yujie Zhang

“…Gravity and gravity gradient data serve as fundamental inputs for geophysical resource exploration and geological structure analysis. …”
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Spatiotemporal change of green watershed development level of the Yangtze River Economic Belt from the perspective of human-water relationship by FANG Tingting, WANG Lei, DUAN Xuejun, ZOU Hui, WANG Yazhu

“…Additionally, it identified shortcoming areas in green watershed development based on the main functional zones. [Results] (1) From 2010 to 2020, the overall green watershed development improved. …”
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Cationic substitution, dynamical stability, thermal stability, electronic and thermoelectric properties in 2D dialkali metal monoxides via DFT and ML approach by S. Chellaiya, Thomas Rueshwin, R. D. Eithiraj

“…Specifically, for electronic property assessment, generalized gradient approximation (GGA) and hybrid exchange-correlation functionals were utilized. …”
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Waterbirds as ecosystem flagships of Eurasian inland saline waters: Dual control indicators of trophic structure by Emil Boros, Zsolt Végvári, Anita Kiss, Péter Dobosy, Zarina Inelova, Yelena Zaparina, Andrey Gavrilov, Lajos Vörös

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Modified the CG-Algorithm for Unconstrained Non-Linear Optimization by Using Oren’s Update by Abbas Al-Bayati, Abdulghafor Al-Rozbayani

“…The new proposed algorithm is based on the inexact line searches and it is examined by using different non-linear test functions with various dimensions.…”
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The Extended CG Method for Non-Quadratic Models by Abbas Al-Bayati, Basim Hassan, Sawsan Ismael

“…This paper investigates an interleaved algorithm which combines between the extended conjugate gradient with the hybrid method of Touati-Storey. This combined algorithm is based on the exact line search to solve a number of non-linear test functions with different dimensions. …”
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Perfil altitudinal de la temperatura media del aire en Colombia by Eslava Jesus

“…The defined equations show that temperature is not a unique function of altitudinal changes, but it also depends on specific physical conditions for each region or subregion.…”
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Research on the optimization of mechanical properties of triply periodic minimal surfaces in composite materials prepared with the assistance of acoustic fields by Shuai Guo, Xianliang Sheng, Anfu Guo, Wenlu Yang, Xiaolin Zhao, Shang Sui, Jiaqiang Li, Yufan Zhao, Meng Wang, Xin Lin

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

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Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

“…This work presents a comprehensive evaluation of four feed-forward artificial neural network (ANN) architectures—radial basis function (RBF), Bayesian regularized (BR), scaled conjugate gradient (SCG), and Levenberg–Marquardt (LM)—to predict UCS from three readily measured variables: water content, interconnected porosity, and real density. …”
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Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…The model utilises the Swish activation function, which combines smoothness and nonlinearity to enhance learning efficiency and gradient flow, which are critical in complex diagnostic tasks. …”
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Approximate Solutions of Variational Inequalities and the Ekeland Principle by Raffaele Chiappinelli, David E. Edmunds

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A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study by Romen Samuel Wabina, Panu Looareesuwan, Suphachoke Sonsilphong, Htun Teza, Wanchana Ponthongmak, Gareth McKay, John Attia, Anuchate Pattanateepapon, Anupol Panitchote, Ammarin Thakkinstian

“…We proposed and evaluated three uncertainty-aware functions (i.e., uncertainty sampling (US), probability of improvement (PI), and expected improvement (EI)) integrated with linear regression (LinearReg), decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost) using three large datasets: chronic kidney disease (CKD, n = 31,043), hypertension cohort from Ramathibodi Hospital (HT-RAMA, n = 140,047) and Khon Kaen University Hospital (HT-KKU, n = 108,942) with high missing rates. …”
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