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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Title not available by Flinth, Axel, de Gournay, Frédéric, Weiss, Pierre

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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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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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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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An asymptotic solution for the SIS epidemic model, taking into account migration and diffusion by Rassadin, Aleksandr Eduardovich

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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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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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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 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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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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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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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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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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Analysis of PM_2.5 Pollution Transport Characteristics and Potential Sources in Four Chinese Megacities During 2022: Seasonal Variations by Kun Mao, Yuan Yao, Kun Wang, Chen Liu, Guangmin Tang, Shumin Feng, Yue Shen, Anhua Ju, Hao Zhou, Zhiyu Li

“…The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) was applied to analyze the seasonal spatial variations, transport pathways, and potential sources of PM_2.5 concentrations across China’s four megacities: Beijing, Shanghai, Xi’an, and Chengdu. …”
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The Ritz Method for Boundary Problems with Essential Conditions as Constraints by Vojin Jovanovic, Sergiy Koshkin

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A Comparison of Vibroacoustic Response of Isotropic Plate with Attached Discrete Patches and Point Masses Having Different Thickness Variation with Different Taper Ratios by Bipin Kumar, Vinayak Ranjan, Mohammad Sikandar Azam, Piyush Pratap Singh, Pawan Mishra, K. Priya Ajit, Praveen Kumar

“…Finite element method is used to find the vibration characteristics while Rayleigh integral is used to predict the sound radiation characteristics. …”
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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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Using PLUS-InVEST-OPGD model to explore spatiotemporal variation of ecosystem carbon storage and its drivers in Jinsha river basin, China by Lichang Huang, Xue Ding, Jinliang Wang, Shuangyun Peng

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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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