INFORMATION SUPPORT FOR CROWDFUNDING AND INVESTING PROJECTS by Julia Malieieva, Olga Malyeyeva, Anatolii Demchenko, Lidiia Piddubna

“…The following tasks are solved: research of functional possibilities of existing crowdfunding platforms; development and configuration of expansion modules for the selected framework; development of the interface of the financial manager of the project with real estate. …”
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Battery Management System: Threat Modeling, Vulnerability Analysis, and Cybersecurity Strategy by Shravan Murlidharan, Varsha Ravulakole, Jyothi Karnati, Hafiz Malik

“…Unauthorized access or tampering with the BMS can disrupt its fault response mechanisms, jeopardizing system performance and associated resources. Key cybersecurity strategies include intrusion detection systems (IDS), crypto-based authentication, secure firmware updates, and hardware-based security mechanisms such as trusted platform modules (TPMs). …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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Proximate values and elemental analysis in wheat and soybean using inductively coupled plasma mass spectrometry by G. Kowmudi, V. Rashmi, K. Anoop, N. Krishnaveni, S. Naveen

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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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Analysis of China’s High-Speed Railway Network Using Complex Network Theory and Graph Convolutional Networks by Zhenguo Xu, Jun Li, Irene Moulitsas, Fangqu Niu

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Credit Rationing Equilibrium Achievement in the Conditions of Digitalization by O. V. Lunyakov

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National occupational safety and health systems: Exploring the underlying networks for future sustainable development by Gaia Vitrano, Guido J.L. Micheli

“…As a result, a range of fundamental functions and recurring bodies, covering – to different extents – the previously identified functions, constitute the framework, which are the most transversal functions for the selected countries. …”
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Patterns and physical principles of traditional houses in Kashan by Farzad Farnad, Hadiseh Kamran Kasmaei, Mehdi Khakzand, Gholamhossein Memarian

“…The case study consists of eight houses that were randomly selected from the collection of houses of the Kashan Cultural Heritage Organization. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…This is evidenced by small changes in the loss function at the end of training. The segmentation performed by the model turned out to be close to manual marking, which indicated the high quality of the proposed solution. …”
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Combining Transcriptome Analysis and Comparative Genomics to Identify Key Components of the Lignin Biosynthesis Gene Network in <i>Sorghum bicolor</i> by Hao Niu, Yanbo Wang, Ruizhen Liu, Xiaoqiang Cheng, Yao Wang, Yubin Wang, Xin Lv, Fangfang Fan, Lan Ju, Jianqiang Chu, Haisheng Yan, Hongru Wang, Hetan Chang, Yancong Zhang, Yongfu Tao, Junai Ping

“…Sequence analysis revealed a significant reduction in genetic diversity across lignin biosynthesis genes in cultivated sorghum compared to wild sorghum. Moreover, selection signals during domestication were identified in 30 lignin biosynthesis genes, 22 of which were differentially expressed, further supporting the functional relevance of these differentially expressed genes in lignin biosynthesis. …”
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The prognostic and therapeutic significance of polyunsaturated fatty acid‐derived oxylipins in ST‐segment elevation myocardial infarction by Zhiyong Du, Yingyuan Lu, Ying Ma, Yunxiao Yang, Wei Luo, Sheng Liu, Ming Zhang, Yong Wang, Lei Li, Chun Li, Wei Wang, Hai Gao

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Deep learning approach for automated hMPV classification by Sivarama Prasad Tera, Ravikumar Chinthaginjala, Irum Shahzadi, Priya Natha, Safia Obaidur Rab

“…Despite its clinical relevance, hMPV poses diagnostic challenges due to its symptom similarity with other respiratory illnesses, such as influenza and respiratory syncytial virus (RSV), and the lack of specialized detection systems. Traditional diagnostic methods are often inadequate for providing rapid and accurate results, particularly in low-resource settings. …”
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Reconstructing Gap-Free Daily Remote Sensing Reflectance in the Marginal Seas Using the DINEOF Method by Shuyan Lang, Yuxuan Jiang, Shengqiang Wang, Yongjun Jia, Yi Zhang

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Cross-Layer Security for 5G/6G Network Slices: An SDN, NFV, and AI-Based Hybrid Framework by Zeina Allaw, Ola Zein, Abdel-Mehsen Ahmad

“…This study proposes a Hybrid Security Framework Using Cross-Layer Integration, combining Software-Defined Networking (SDN), Network Function Virtualization (NFV), and AI-driven anomaly detection to strengthen network defenses. …”
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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

“…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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Integrated Transcriptomic and Physiological Analysis Reveals the Drought Adaptation Strategies of <i>Sapindus delavayi</i>, an Important Tree for Industrial Use in the Dry–Hot Vall... by Xinyu He, Meng Xie, Lan Wang, Liangjun Yu, Fengjuan Li, Hong Ma

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Probiotic Characterization, Safety and Whole Genome Association Analysis of Lacticaseibacillus rhamnosus Z23 by Yuxing HE, Gaowa BAI, Jinghe YU, Wei LIU, Xiaofeng YANG, Mingchao LIU, Wuyundalai

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Isolation and Functional Analysis of the <i>DhMYB2</i> and <i>DhbHLH1</i> Promoters from <i>Phalaenopsis</i>-Type <i>Dendrobium</i> Involved in Stress Responses and Tissue-Specific... by Yachen Wang, Chonghui Li, Wenjuan Zhu, Yamei Li, Xiqiang Song, Junmei Yin

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Research for Energy Consumption of Water-loop Heat Pump System Based on Circulating-water Energy Gap under Nonstandard Conditions by Yu Qidong, Zhu Neng

“…In order to study the energy consumption law of water-loop heat pump system under nonstandard conditions, the circulating water was selected as the research foundation and on the basis of the circulating water energy equations, the system energy consumption equations were built by using a linear transfer function method. …”
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