Effect of Forest Species Canopy on the Accumulation of Toxic Metals in the Soil Within and Around Macedonia Airport, Northern Greece by Ioannis Mousios, Marianthi Tsakaldimi, Evangelia Gkini, Theocharis Chatzistathis, Petros Ganatsas

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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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Small-World Propensity Reveals the Frequency Specificity of Resting State Networks by Riccardo Iandolo, Marianna Semprini, Stefano Buccelli, Federico Barban, Mingqi Zhao, Jessica Samogin, Gaia Bonassi, Laura Avanzino, Dante Mantini, Michela Chiappalone

“…<italic>Goal:</italic> Functional connectivity (FC) is an important indicator of the brain&#x0027;s state in different conditions, such as rest&#x002F;task or health&#x002F;pathology. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

“…The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining environments. …”
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MARKEDNESS OF THEME IN EVERYTHING, EVERYTHING MOVIE DIALOG by Nurhayati Br Tarigan, Tengku Silvana Sinar, Yulianus Harefa, Muhammad Yusuf

“…The theory that is used in this research is Systemic Functional Linguistics (SFL) proposed by Halliday (1994), regarded with textual function that observes clause as a message and analyzes it from the thematic structure in the term of Theme-Rheme. …”
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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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Features of Bearing on Underwater Object Using Phase Information of a Differential Stereo Sensor by V. A. Shirokov, A. I. Bazhenova, V. N. Milich

“…Taking into account the factor of smoothness and continuity of the object's trajectory makes it possible to qualitatively correct the selection of the maximum of the cross-correlation function of the stereo sensor signals. …”
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A multi-parameters assessment method and prediction model for ground vibration under the high-speed railway bridge by Wenya Yuan, Baoxin Jia, Zhiyang Zhou, Jing Zhang, Puzhen An

“…Besides, an application example of environment vibration prediction was given, and the site selection distance threshold away from the high-speed railways of different types of environmental vibration function areas were determined. …”
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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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Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains by Yuze Shan, Xi Lu, Shizhuo Wang, Hao Cong, Qi Wang, Jiahui Yu, Yiting Xiao, Nan Jiang, Lifei Chen, Yunwei Zhou

“…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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Analysis of microsatellite and single nucleotide polymorphism within transcriptomic database in Cymbidium ensi folium by Li Xiaobai, Xiang Lin, Luo Jie, Qin Dehui, Sun Chongbo

“…Owing to the lack of its genomic resource, the development and application of molecular marker is still limited. …”
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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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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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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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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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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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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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