Croatia’s Economic Integration in EU’s Regional Supply Chains: Panel Data Quantile Regression by Davor Mance, Dora Šekimić, Borna Debelić

“…This study examines Croatia’s integration into EU RVCs and its economic impact. <i>Methods</i>: Using panel data from the UNCTAD–Eora database (2000–2019), this study applies panel data quantile regression (PDQR) to analyse Croatia’s trade relationships with EU Member States. …”
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Reliability of an Integrated Ultrasound and Stereophotogrammetric System for Lower Limb Anatomical Characterisation by Frederick Greatrex, Erica Montefiori, Thomas Grupp, Josef Kozak, Claudia Mazzà

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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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The rising burden of diabetes and state-wise variations in India: insights from the Global Burden of Disease Study 1990–2021 and projections to 2031 by Shubham Chauhan, Mahalaqua Nazli Khatib, Suhas Ballal, Pooja Bansal, Kiran Bhopte, Abhay M. Gaidhane, Balvir S. Tomar, Ayash Ashraf, M. Ravi Kumar, Ashish Singh Chauhan, Muhammed Shabil, Diptismita Jena, Ganesh Bushi, Prakasini Satapathy, Lara Jain, Vaibhav Jaiswal, Manvi Pant

“…BackgroundDiabetes is a major public health concern in India, contributing significantly to morbidity and mortality. With variations in disease burden across states, a detailed understanding of trends in incidence, prevalence, and Disability Adjusted Life Years (DALYs) is essential for targeted interventions.MethodsThis study utilized Global Burden of Disease (GBD) data from 1990 to 2021 to examine trends in diabetes across Indian states. …”
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Addressing process-induced porosity variations in multiscale composite materials analysis using aggregated projection clustering and Halton sequence RVE sampling by Hamidreza Dehghani, Henri Perrin, Elias Belouettar-Mathis, Borek Patzák, Salim Belouettar

“…In such cases, porosity significantly decreases as we approach the consolidation surfaces, leading to substantial variations in material behavior in those areas. To address this, we propose an unsupervised machine learning approach integrated with micro-computed tomography (μCT) image processing and Asymptotic Homogenization (AH) for accurate and robust consideration of real microstructure as the basis for an upscaling process. …”
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Multi-objective mathematical programs to minimize the makespan, the patients' flow time, and doctors' workloads variation using dispatching rules and genetic algorithm by Jerbi Badreddine, Kanoun Salma, Kamoun Hichem

“…The problem considers a parallel machine scheduling model that integrates simultaneously the following most known objectives in healthcare systems: minimization of the makespan, the patients' total flow times, and the doctors' workloads variations. …”
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Integration of unpaired single cell omics data by deep transfer graph convolutional network. by Yulong Kan, Yunjing Qi, Zhongxiao Zhang, Xikeng Liang, Weihao Wang, Shuilin Jin

“…Here, we present a robust deep transfer model based graph convolutional network, scTGCN, which achieves versatile performance in preserving biological variation, while achieving integration hundreds of thousands cells in minutes with low memory consumption. …”
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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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ADTnorm: robust integration of single-cell protein measurement across CITE-seq datasets by Ye Zheng, Daniel P. Caron, Ju Yeong Kim, Seong-Hwan Jun, Yuan Tian, Florian Mair, Kenneth D. Stuart, Peter A. Sims, Raphael Gottardo

“…Here, we present ADTnorm, a normalization and integration method designed explicitly for ADT abundance. …”
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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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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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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

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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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Forecasting phase-field variable in brittle fracture problems by autoregressive integrated moving average technique by Cuong T. Nguyen, Long H. Le, Minh N. Dinh, Ngoc M. La

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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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Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation by Yue Wan, Jialu Wu, Tingjun Hou, Chang-Yu Hsieh, Xiaowei Jia

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Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…This paper employs a distributed fiber optic sensing system to collect pipeline leakage signals and processes these signals using the traditional variational mode decomposition (VMD) algorithm. While traditional VMD methods require manual parameter setting, which can lead to suboptimal decomposition results if parameters are incorrectly chosen, our proposed method introduces an improved particle swarm optimization algorithm to automatically determine the optimal parameters. …”
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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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