Bridging the gap between technology and nursing education: Assessing student perspectives on Blackboard integration by Petelyne P. Pangket, Evalynn M. Rondilla, Jerold C. Alcantara, Dolores I. Cabansag, Hamdan Mohammad Albaqawi, Sarah Nawasreh, Lea L. Dando, Jonalee M. Valdez, Jane Rachelle D. Baroquillo, Laila Lafi Alharbi, Latifa Awad Alshammari

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Enhancing Maritime Data Integration for Platform Services With Sequence-to-Sequence Models and Statistical Refinement by Hyoseong Hwang, Richard Wong, Ducsun Lim, Jonggu Kang, Inwhee Joe

“…Experimental results demonstrate that the sequence-to-sequence model with statistical refinement outperformed single-step and discriminative methods in handling class imbalance and variations when mapping ship DSLs to a unified platform data model. …”
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Title not available by Flinth, Axel, de Gournay, Frédéric, Weiss, Pierre

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Reliability of ultrasound assessment of the rectus femoris muscle thickness: intra-rater, inter-rater, and inter-day analysis accounting for age and sex by Martin Bjørn Stausholm, Katielle Rodrigues da Silva, Pedro Augusto Inácio, Alberto Souza de Sá Filho, Pedro Sardinha Leonardo Lopes-Martins, Jan Magnus Bjordal, Patrícia Sardinha Leonardo, Rodrigo Alvaro B. Lopes-Martins

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Automated Anomaly Detection in Blast Furnace Shaft Static Pressure Using Adversarial Autoencoders and Mode Decomposition by Xiaodong Sun, Jie Zhu, Bing Tang, Zhaohui Jiang

“…This article proposes a new unsupervised anomaly detection framework that combines adversarial autoencoder with variational mode decomposition (VMD). Firstly, using VMD combined with sample entropy calculation and clustering algorithm, the trend, period, and other components of multidimensional signals are extracted, and then these components are integrated into an improved adversarial training autoencoder to detect global and local anomalies. …”
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Multimodal Trajectory Prediction for Diverse Vehicle Types in Autonomous Driving with Heterogeneous Data and Physical Constraints by Maoning Ge, Kento Ohtani, Ming Ding, Yingjie Niu, Yuxiao Zhang, Kazuya Takeda

“…These results indicate that integrating multiple data sources, physical models, and probabilistic methods significantly improves trajectory prediction accuracy and reliability for autonomous driving. …”
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An Improved Galerkin Framework for Solving Unsteady High-Reynolds Navier–Stokes Equations by Jinlin Tang, Qiang Ma

“…This paper proposes an improved Galerkin framework that synergistically integrates a Variational Multiscale Stabilization (VMS) method with an adaptive mesh refinement (AMR) strategy to overcome these dual challenges. …”
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Bearing Fault Diagnosis Based on IPOA-VMD and SSA-HKELM by Baoxian Chang, Xing Zhao, Dawei Guo, Siyu Zhao, Jiyou Fei, Hua Li, Xiaodong Liu

“…This study presents a novel fault diagnosis approach for rolling bearings that integrates the Improved Pelican Optimization Algorithm (IPOA) for optimizing Variational Mode Decomposition (VMD) and the Sparrow Search Algorithm (SSA) for optimizing the Hybrid Kernel Extreme Learning Machine (HKELM). …”
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Spectral solutions for QS with distribution laws in the form of probabilistic mixtures by Veniamin N. Tarasov, Nadezhda F. Bakhareva

“…To derive a solution for the average waiting time in a queue, the classical method of spectral solution of the Lindley integral equation is used based on the Laplace transform of the distribution laws that form the considered QS. …”
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A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets by Eonyong Han, Hwijun Kwon, Inuk Jung

“…Abstract Background Rapid advancements in high-throughput sequencing technologies allow for detailed and accurate measurement of omics features within their biological context. The integration of different omics types creates heterogeneous datasets, presenting challenges in analysis due to variations in measurement units, sample numbers, and features. …”
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Exploitation of static and dynamic methods for the analysis of the mechanical nanoproperties of polymethylmetacrylate by indentation by Benaissa Soufiane, Habibi Samir, Semsoum Djameleddine, Merzouk Hassen, Mezough Abdelnour, Boutabout B�nali, Montagne Alex

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Evaluating the efficacy of protein quantification methods on membrane proteins by Jana Löptien, Sidney Vesting, Susanne Dobler, Shabnam Mohammadi

“…Despite their wide applicability, the mechanisms of action imply that these methods may not be ideal for large transmembrane proteins due to the proteins’ integration in the plasma membrane. …”
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The Ritz Method for Boundary Problems with Essential Conditions as Constraints by Vojin Jovanovic, Sergiy Koshkin

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Understanding lithiation induced volume variations and its impact on porous cobaltite (LiCo2O4) for Li-ion battery cathodes by L. Maake, B. Shibiri, P.E. Ngoepe, R.S. Ledwaba

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A Mixed-Integer Convex Optimization Framework for Cost-Effective Conductor Selection in Radial Distribution Networks While Considering Load and Renewable Variations by Oscar Danilo Montoya, Oscar David Florez-Cediel, Luis Fernando Grisales-Noreña, Walter Gil-González, Diego Armando Giral-Ramírez

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Spatiotemporal Variations in Human Activity Intensity Along the Qinghai–Tibet Railway and Analysis of Its Decoupling Process from Ecological Environment Quality Changes by Fengli Zou, Qingwu Hu, Lei Liao, Yuqi Liu, Haidong Li, Xujie Zhang

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Exploring the efficacy and safety of Yu-Ping-Feng powder with variation against allergic rhinitis: a randomized, double-blind, placebo-controlled trial by Zhi-Xiu Lin, Tin Muk Ho, Yan-Fang Xian, Kam Leung Chan, Qing-Qing Xu, Cho Wing Lo, Justin Che Yuen Wu, Kam Lun Hon, Sin Bond Leung, Chon Pin Chia, Chi Him Sum, Tak Yee Chow, Pui Kuan Cheong, Jessica Yuet Ling Ching, Hongwei Zhang, Ka Chun Leung, Wai Ling Lin

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Metabolomic and Transcriptomic Analyses Reveal the Factors Underlying Mature Fruit Pericarp Color Variations in the ‘Xinli No. 7’ Pear (<i>Pyrus sinkiangensis</i>) by Yi Wang, Can Lu, Pan Yan, Shijie An, Ling Ma, Qiangqing Zheng, Yonghui Deng, Qiling Chen

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Quantitative Analysis of Vertical and Temporal Variations in the Chlorophyll Content of Winter Wheat Leaves via Proximal Multispectral Remote Sensing and Deep Transfer Learning by Changsai Zhang, Yuan Yi, Shuxia Zhang, Pei Li

“…Furthermore, the proposed method exhibits superior estimation accuracy compared to empirical statistical method and traditional machine learning method. …”
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Optimal Dispatch of Multi-Coupling Systems Considering Molten Salt Thermal Energy Storage Retrofit and Cost Allocation Under Rapid Load Variations by Niancheng Zhou, Zhenyu Xu, Yuan Chi, Yao Zou, Fei Xu, Xuhui Dai

“…To better reflect the coordinated operational capability of thermal power units with molten salt thermal storage retrofit (TPUMSTSR) in multi-coupling system (MCS) scheduling, this study proposes a multi-stage optimization-based dispatch method for MCSs. First, rapid load variation (RLV) technology and thermal storage retrofitting are combined to establish a thermal power unit operation model incorporating molten salt thermal storage (MSTS) retrofits under RLVs. …”
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