A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…However, existing systems struggle with recognizing such subtle movements due to complex postural variations and environmental noise. This paper presents a novel multi-modal framework that integrates RGB and depth data to extract high-resolution spatial-temporal and anatomical features for accurate HMIR. …”
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A VSG Power Decoupling Control with Integrated Voltage Compensation Schemes by Longhai Wei, Bo Yang, Shuai Lu

“…These methods are less effective under varying operating points. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…Our methods are motivated by and applied to a glioblastoma multiforme (GBM) dataset from The Cancer Genome Atlas to predict patient survival times integrating gene expression, copy number and methylation data. …”
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An integrated strain-level analytic pipeline utilizing longitudinal metagenomic data by Boyan Zhou, Chan Wang, Gregory Putzel, Jiyuan Hu, Menghan Liu, Fen Wu, Yu Chen, Alejandro Pironti, Huilin Li

“…ABSTRACT With the development of sequencing technology and analytic tools, studying within-species variations enhances the understanding of microbial biological processes. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

“…In this study, we integrate geographic methods with high-dimensional tensor theory and develop a comprehensive framework for traffic anomaly diagnosis. …”
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Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

“…Our research utilized an enhanced combination of machine learning models, including random forest, gradient boosting, XGBoost, extra trees, and advanced ensemble methods like stacking regressors. These models have been meticulously optimized to address the unique dynamics and demographic variations across Maryland, enhancing our capability to capture localized crime trends with high precision. …”
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International competencies of nurses with advanced practice in anesthesia nursing: An integrative review by Kathrin Julia Pann, Verena-Katrin Buchner, Roland Eßl-Maurer, Tobias Bacher, Manela Glarcher, Andre Ewers

“…Eight qualitative, ten quantitative, and one mixed methods study, as well as seven scientific reports could be identified. …”
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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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Coupling study on ecological resilience and urban-rural integrated development in China by Yue Wang, Mengfei Song, Siyan Zhu, Zhihui Jiang, Zhen Zhang

“…This research utilizes an integrated coupling coordination framework to examine the relationship among ecological resilience and rural-urban dynamics in 31 Chinese provinces from 2011 to 2022. …”
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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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Integrating Remote Sensing and AI for precision Monitoring of Soil and Vegetation Contamination by M. Spiralski, A. Miszczak, G. Siebielec, Ż. Piasecka, R. Trojnacki, P. Kwaśnik, J. Kotlarz, K. A. Kubiak-Siwinska, M. Kacprzak, S. Marciniak, K. A. Rotchimmel, K. P. Beben, J. Szymanski

“…Addressing the needs of end-users, the research focuses on the development of reliable methods to assess environmental contaminants that impact soil quality. …”
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Integrated Vascular Analysis System of Olive Cultivation: Savia Olivar Project by Antonio Aguirre-Arcos, Irene Ortiz-Bernad, Juana Nieto Carricondo, Antonio M. Lallena, Marino Pedro Reyes-Martín, Álvaro Ávila-Pérez, Emilia Fernández-Ondoño

“…Olive trees are widely cultivated crops, especially in Mediterranean countries, which requires new practices to maintain productivity, optimize resource use and improve the quality of the environment. Integrated production seeks to achieve these objectives, but this requires rapid and effective methods to plan crop nutrition. …”
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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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An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data by Matteo Bozzano, Francesco Varni, Monica De Martino, Alfonso Quarati, Nicoletta Tambroni, Bianca Federici

“…This method enables us to identify the river centerline, its width, and its slope variations. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…These signals can be obscured by noise or exhibit complex, non-stationary behavior, making them difficult to detect and analyze using conventional Fourier-based methods. Moreover, standard regression-based approaches for interpreting induction logging data may fail to capture intricate signal variations, limiting their effectiveness in real-time decision-making. …”
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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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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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GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection by Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao

“…To overcome this limitation, we propose a novel framework, Global-Local Low-Rank Integration for Hyperspectral Anomaly Detection (GLLR-HAD), which synergistically integrates global and local low-rank modeling to effectively extract both global semantic representations and local fine-grained features from HSI data. …”
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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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