An Enhanced TimesNet-SARIMA Model for Predicting Outbound Subway Passenger Flow with Decomposition Techniques by Tianzhuo Zuo, Shaohu Tang, Liang Zhang, Hailin Kang, Hongkang Song, Pengyu Li

“…This research introduces a hybrid forecasting approach that combines an enhanced TimesNet model, Seasonal Autoregressive Integrated Moving Average (SARIMA), and Variational Mode Decomposition (VMD) to improve passenger flow prediction. …”
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Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

“…This study investigates the effectiveness of integrating augmented reality (AR) and concept mapping method in English vocabulary learning and proposes a design thinking-based development framework for learning systems. …”
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Finite Element Analysis of Interactions between two cracks in FGM notched Plate under Mechanical Loading by Aboubakar Seddik Bouchikhi, Abdelkader Lousdad, Khalfi Yassine, Nasser Eddine Bouida, Sadek Gouasmi, Abdelkader Megueni

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Pour un amorcement des pratiques numériques en classe de langue, entre réflexions théoriques et variations actionnelles by Sarah Azizi, Zineb Borhani

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A hybrid model for short-term offshore wind power prediction combining Kepler optimization algorithm with variational mode decomposition and stochastic configuration networks by Bingbing Yu, Yonggang Wang, Jun Wang, Yuanchu Ma, Wenpeng Li, Weigang Zheng

“…To enhance the stability and accuracy of wind power forecasting, a hybrid model integrating Kepler optimization algorithm (KOA), variational mode decomposition (VMD), and stochastic configuration network (SCN) is proposed. …”
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Challenges and solutions for integrating artificial intelligence into transportation engineering education by NANTOI, Vadim, NANTOI, Daria, CEBAN, Dumitru

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Integrating quantitative knowledge into a qualitative gene regulatory network. by Jérémie Bourdon, Damien Eveillard, Anne Siegel

“…Nonetheless, it is not capable of taking into account available quantitative information such as time-series protein concentration variations. The present work proposes a probabilistic modeling framework that integrates both kinds of information. …”
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Integrated analysis of exosome-related genes and their role in psoriasis pathogenesis by Zhen Wang, Fang Luo

“…ObjectiveThis study aimed to analyze gene expression data from psoriasis and control samples, focusing on identifying exosome and cell senescence genes, integrating datasets, and validating batch effect removal using principal component analysis (PCA).MethodsWe analyzed gene expression profiles from Gene Expression Omnibus (GEO) to identify significant differences between healthy and diseased tissues. …”
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MODELING OF BUSINESS PROCESSES FOR MANAGING INTEGRATIVE DIGITAL DEVELOPMENT OF ENTERPRISES by Оlena V. Vynogradova, Svitlana V. Lehominova, Aliona Yu. Goloborodko, Tetiana I. Nosova

“…It has been proven that the development of information and communication services enterprises is of strategic importance for the complementary growth of all sectors of the Ukrainian economy and serves as a platform for boosting and advancing proactive business segments overall. The fundamental methods for modeling business process flows using mathematical and analytical tools, specifically a system of differential equations with defined initial conditions, have been substantiated, enabling the integral assessment of enterprise business process modeling. …”
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Detection and tracking of carbon biomes via integrated machine learning by S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger

“…<p>In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO<span class="inline-formula">₂</span> fluxes. …”
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Temperature sensor with adjustable frequency band integrated with antenna and perception by Xiangxiang Zhang, Yulong Hou, Rui Feng, Huanting Shi, Junqi Pang, Qiulin Tan

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Regional and temporal variations in COVID-19 cases and deaths in Ethiopia: Lessons learned from the COVID-19 enhanced surveillance and response. by Gizaw Teka, Adane Woldeab, Nebiyu Dereje, Frehywot Eshetu, Lehageru Gizachew, Zelalem Tazu, Leuel Lisanwork, Eyasu Tigabu, Ayele Gebeyehu, Adamu Tayachew, Mengistu Biru, Tsegaye Berkessa, Abrham Keraleme, Fentahun Bikale, Wolde Shure, Admikew Agune, Bizuwork Haile, Beza Addis, Muluken Moges, Melaku Gonta, Aster Hailemariam, Laura Binkley, Saira Nawaz, Shu-Hua Wang, Zelalem Mekuria, Ayalew Aklilu, Jemal Aliy, Sileshi Lulseged, Abiy Girmay, Abok Patrick, Berhanu Amare, Hulemenaw Delelegn, Sharon Daves, Getnet Yimer, Ebba Abate, Mesfin Wossen, Zenebe Melaku, Wondwossen Gebreyes, Desmond E Williams, Aschalew Abayneh

“…These lessons should be critically considered during the integration of the COVID-19 surveillance system into the routine surveillance system.…”
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Integrating phylodynamics and epidemiology to estimate transmission diversity in viral epidemics. by Gkikas Magiorkinis, Vana Sypsa, Emmanouil Magiorkinis, Dimitrios Paraskevis, Antigoni Katsoulidou, Robert Belshaw, Christophe Fraser, Oliver George Pybus, Angelos Hatzakis

“…Here we describe a novel method that combines epidemiological and population genetic approaches to estimate the variation in transmissibility of rapidly-evolving viral epidemics. …”
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Photoacoustic Imaging with a Finite-Size Circular Integrating Detector by Shan Gao, Xili Jing, Mengyu Fang, Jingru Zhao, Tianrun Zhang

“…However, in circular integrating detection systems, the PSF exhibits spatial variations. …”
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Integrated Thermomechanical Analysis of Tires and Brakes for Vehicle Dynamics and Safety by Andrea Stefanelli, Marco Aprea, Fabio Carbone, Fabio Romagnuolo, Pietro Caresia, Raffaele Suero

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Linear Quadratic Gaussian Integral Control for Secondary Voltage Regulation by Elio Chiodo, Pasquale Di Palma, Maurizio Fantauzzi, Davide Lauria, Fabio Mottola, Domenico Villacci

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Assessing species interactions using integrated predator-prey models by Paquet, Matthieu, Barraquand, Frédéric

“…We further confirm that adding random temporal variation to multispecies density-dependent link functions does not alter these results. …”
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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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Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

“…The results indicated that both the Sentinel-2 (V-R2 of 0.68–0.71, CVRMSE of 17.73–18.65%) and SIF data (V-R2 of 0.59–0.73, CVRMSE of 17.05–21.40%) individually yielded relatively accurate estimates of the forage nitrogen. The integrated model constructed using both spectral data types explained 69–74% of the variation in forage nitrogen content, with a CVRMSE ranging from 16.89 to 17.85%, which indicates that the synergy between Sentinel-2 and SIF data can slightly enhance the model’s estimation capability of forage nitrogen content. …”
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PTCTV-KMC: Infrared Small Target Detection Using Joint Partial Tensor Correlated Total Variation and K-Means Clustering by Zixu Huang, Erwei Zhao, Wei Zheng, Yan Wen, Xiaodong Peng, Wenlong Niu, Zhen Yang

“…To address this issue, we propose a joint partial tensor correlated total variation and <italic>k</italic>-means clustering (PTCTV-KMC) method that integrates local and global features. …”
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