Analysis of Sediment Variation in Important Tributaries of the Yellow River in the Sandy and Coarse Sediment Area Based on Detrital Zircons and Hydrological Observations by Ting BAI, Niannian FAN, Yuanjian WANG, Ruihua NIE, Xingnian LIU

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Integration and Verification of Miniature Fluid Film Pressure Sensors in Hydrodynamic Linear Guides by Burhan Ibrar, Volker Wittstock, Joachim Regel, Martin Dix

“…Therefore, different pressure sensor’s integration methods were tested in a stationary Plexiglas rail to measure fluid film pressure inside the lubrication gap. …”
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Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study by Fabrice Ferré, Stéphanie Allassonnière, Clément Chadebec, Vincent Minville

“… BackgroundArtificial patient technology could transform health care by accelerating diagnosis, treatment, and mapping clinical pathways. Deep learning methods for generating artificial data in health care include data augmentation by variational autoencoders (VAE) technology. …”
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Case Report: Compound heterozygous variants in BHLHA9 cause complex syndactyly with oligodactyly, renal artery variation, and facial scar by Weidong Wei, Weidong Wei, Xiaosha Wang, Xiaosha Wang, Tao Zhang, Tao Zhang, Yongxing Zhong, Yongxing Zhong, Jintang Zhang, Jintang Zhang, Hua Yuan, Hua Yuan, Xiaoliang Shi, Xiaoliang Shi, Yao He, Yao He, Haitao Pan, Haitao Pan, Zhen Yang, Yuejuan Wang

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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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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transform... by Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li

“…MethodsWe developed population-wide depression incidence forecasting models and compared the performance of ARIMA and VARIMA-based methods to TFT-based methods. …”
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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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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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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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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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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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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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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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Some Reliability Issues of the Corrugated I-Beam Girder by Damian SOKOŁOWSKI, Marcin Marek KAMIŃSKI

“…The perturbation-based results are compared with these coming from the Monte-Carlo simulation and with an analytical solution obtained via symbolic integration carried out in MAPLE also. The indices of reliability are determined for the maximum deflections of the beam as the function of an input coefficient of variation of the web’s thickness whose meaning is the extent of a corrosion process.…”
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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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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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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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The biological function and prognostic significance of ferroptosis-related genes in clear cell renal cell carcinoma by Huizhen Ye, Xiwen Wu, Gehao Liang

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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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Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors by Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen

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