SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

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Technology features of decellularization of human liver fragments as tissue-specific fine-grained matrix for cell-engineering liver construction by E. A. Nemets, L. A. Kirsanova, Ju. B. Basok, M. Ju. Schagidulin, E. A. Volkova, S. T. Metelsky, V. I. Sevastianov

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Multi-layer feature fusion and attention-enhanced YOLOv9 for rapid field detection of greenhouse blueberry maturity at long and short distances by Ziwei Pan, Lei Xu, Wanjin Zhao, Cong Fan, Xihao Zhang, Weihui Chen, Yonglin Shen, Nengcheng Chen

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MARKETING SUBSTANTIATION, ORGANIZATIONAL AND ECONOMIC CHARACTERISTICS OF SMALL BUSINESS IN THE PROVISION OF HOTEL SERVICES by S. Pambuk, I. Ustenko, M. Mardar

“…The main purpose of the research is to develop a methodological approach to marketing substantiation, organizational and economic characteristics and management of a small business to provide hotel services on the example of a hostel. …”
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Miniinvasive paracentetic drain surgical interventions under ultrasonic control concerning liquid formations of abdominal cavity by G.I. Ohrimenko, N.G. Golovko, V.A. Grushka, Y.I. Gaidarzhi

“…Actuality of problem is conditioned by that indications to the use of paracentetic drain surgical interventions, most optimal methods of preoperative diagnostic, features of postoperative treatment of patients remain not enough studied. Research aim. To study the results of diagnostics and treatment of patients with liquid formations of abdominal cavity that were exposed to miniinvasive surgical interventions under ultrasonic control and, on the basis of it, to work out an optimal curative diagnostic algorithm. …”
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Spectral Analysis of Cough Sounds in Patients with Chronic Bronchitis by Andrey V. Budnevsky, Sergey N. Avdeev, Evgeniy S. Ovsyannikov, Anastasia V. Belyakova

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An analysis of cyclonic dominant patterns on cold period precipitation in the mid-western of Iran by Rastegar Mohammadi, mohammad saligheh, Mohammad Hossein Naserzadeh, Mehri Akbari

“…Extratropical cyclones, characterized by their frequency, duration, and intensity, serve as the primary drivers of mid- and high-latitude precipitation across the Mediterranean during the winter and autumn months. For this research, climatic variables obtained from the ECMWF network, featuring a temporal resolution of 6 hours and a spatial resolution of 0.25° × 0.25°, spanning from 1979 to 2016, were utilized. …”
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The Short-Term Impacts of the 2017 Portuguese Wildfires on Human Health and Visibility: A Case Study by Diogo Lopes, Isilda Cunha Menezes, Johnny Reis, Sílvia Coelho, Miguel Almeida, Domingos Xavier Viegas, Carlos Borrego, Ana Isabel Miranda

“…This study aims to gain a better understanding of the effects of EWEs’ smoke on air quality, its short-term impacts on human health, and how it reduces visibility by applying a modelling system to the Portuguese EWEs of October 2017. The Weather Research and Forecasting Model was combined with a semi-empirical fire spread algorithm (WRF-SFIRE) to simulate particulate matter smoke dispersion and assess its impacts based on up-to-date numerical approaches. …”
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Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…IntroductionSpecies distribution models can predict the spatial distribution of vector-borne diseases by forming associations between known vector distribution and environmental variables. …”
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Dimensional Accuracy Evaluation of Single-Layer Prints in Direct Ink Writing Based on Machine Vision by Yongqiang Tu, Haoran Zhang, Hu Chen, Baohua Bao, Canmi Fang, Hao Wu, Xinkai Chen, Alaa Hassan, Hakim Boudaoud

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Preservation of the lost: The case of heritage in urban design of the “Ekaterinburg City” by Yulia V. Udalova

“…The research problem is the search for architectural, artistic and non-spatial methods that allow the integration of tangible and intangible heritage into the newly created urban fabric. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

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ZPTM: Zigzag Path Tracking Method for Agricultural Vehicles Using Point Cloud Representation by Shuang Yang, Engen Zhang, Yufei Liu, Juan Du, Xiang Yin

“…Automatic navigation, as one of the modern technologies in farming automation, enables unmanned driving and operation of agricultural vehicles. In this research, the ZPTM (Zigzag Path Tracking Method) was proposed to reduce the complexity of path planning by using a point cloud consisting of a series of anchor points with spatial information, which are obtained from orthophotos taken by UAVs (Unmanned Aerial Vehicles) to represent the curved path in the zigzag. …”
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A Deep Pedestrian Tracking SSD-Based Model in the Sudden Emergency or Violent Environment by Zhihong Li, Yang Dong, Yanjie Wen, Han Xu, Jiahao Wu

“…There are still many deficiencies in the research of multiobject trajectory prediction, which mostly employ object detection and data association. …”
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Low-Rank Regularized Correlation Filter for Hyperspectral Video Object Tracking by Na-Na Li, Heng-Chao Li, Jian-Li Wang, Xiong-Fei Geng, Jie Pan

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Multi-Agent Mapping and Tracking-Based Electrical Vehicles with Unknown Environment Exploration by Chafaa Hamrouni, Aarif Alutaybi, Ghofrane Ouerfelli

“…This research presents an intelligent, environment-aware navigation framework for smart electric vehicles (EVs), focusing on multi-agent mapping, real-time obstacle recognition, and adaptive route optimization. …”
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Occlusion-Robust Multi-Target Tracking and Segmentation Framework with Mask Enhancement by Hao Sheng, Defa Zhang, Dazhi Yang, Da Yang, Xi Liu, Wei Ke

“…Multi-object tracking stands as one of the most prominent domains in Computer Vision and has significant research value and practical importance. However, due to the complexity of scenarios in the real world, especially in crowded environments with frequent target occlusion, existing MOT frameworks often struggle to achieve precise tracking results. …”
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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

“…A novel algorithm is implemented that uses Vectocardiography (VCG) signals in the forward problem of MCG. …”
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Three-Dimensional Time-Series Monitoring of Maize Canopy Structure Using Rail-Driven Plant Phenotyping Platform in Field by Hanyu Ma, Weiliang Wen, Wenbo Gou, Yuqiang Liang, Minggang Zhang, Jiangchuan Fan, Shenghao Gu, Dongsheng Zhang, Xinyu Guo

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