Multi-Sensor Satellite Analysis for Landslide Characterization: A Case of Study from Baipaza, Tajikistan by Francesco Poggi, Olga Nardini, Simone Fiaschi, Roberto Montalti, Emanuele Intrieri, Federico Raspini

“…The employment of these two techniques enables the acquisition of insights into the distinctive characteristics and dynamics of the landslide, including the displacement rates up to 246 mm/year in the horizontal component; the precise mapping of landslide boundaries and the identification of distinct sectors with varying deformation patterns; and an estimation of the volume involved within the landslide, which is approximately of 1 billion m³.…”
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Characterizing Holocene sediments for assessing coastal-deltaic subsidence: the role of cone penetration tests and geomechanics by Carla Buffardi, Philip S. J. Minderhoud, Philip S. J. Minderhoud, Philip S. J. Minderhoud, Alessandro Mandolini, Daniela Ruberti

“…These variable characteristics underlie, and in part explain, the spatial patterns in observed subsidence rates. The increased geomechanical insights advance our understanding of the spatio-temporal consolidation of the Holocene sedimentary sequence and its various depositional facies beyond standard lithological geotechnical characterization. …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…We introduce Temporal Structural Graph Anomaly Detection (<sc>T-StructGAD</sc>), an unsupervised framework that leverages Graph Convolutional Gated Recurrent Units (<monospace>GConvGRU</monospace>s) and Long Short-Term Memory networks (<monospace>LSTM</monospace>s) to jointly model both structural and temporal dynamics in graph node embeddings. …”
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Adverse childhood experiences and fertility intention among college students in China: moderated mediation effects of resilience and attachment by Jin Zhang, Wenxiao Chen, Wenqi Weng, Mei Li, Yunying Zhu, Xiaohua Xiao, Ruotong Zhang, Dongdong Jiang, Sisi Li, Jinghao Ma, Weina Xu, Peige Song, Qian Yang

“…Abstract Background The declining fertility rates and aging are becoming major demographic and public health challenges. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…In this paper, we present ENGRU (Enhanced Gated Recurrent Units), a novel deep learning-based approach for formal verification. …”
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Relationship of psychoalgological status and results of neurosurgical treatment of patients with discogenic radiculopathy by V. I. Leonov, I. O. Kritskaya, D. V. Svistov, E. V. Litvinenko, T. V. Sergeeva, V. V. Flud, M. N. Kravtsov, S. D. Mirzametov, N. P. Alexeyeva, A. Yu. Shcherbuk, Yu. A. Shcherbuk

“…According to the long-term results of neurosurgical treatment, patients were divided into three groups: 1 – with a good result; 2 – patients with a number of preserved complaints, who rated the result of the operation as satisfactory; 3 – unsatisfactory outcome. …”
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Maternal and Clinical Outcomes of Placenta Accreta Spectrum: Insights from a Retrospective Study in Bahrain by Kareeza Selby Chacko, Reem Satam AlSubeaei, Soumya Sunil Nair, Nusrat Khalil Kazi, Rafiea Jeddy

“…Placenta accreta spectrum (PAS) refers to a group of abnormal placental attachments in which the placenta adheres too deeply to the uterine wall, with varying degrees of invasion classified as accreta, increta, or percreta. Increased rates of uterine surgeries, advanced maternal age, and cesarean deliveries have all contributed to an increase in the incidence of PAS. …”
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Microbial responses to antibiotics cryptically shift the direction of disease outcomes by Isabela Velasquez, Kyra Ricci, Eve Milusich, Bryon F. Tuthill, Karin Sauer, Obed Hernández-Gómez, Jessica Hua

“…Abstract Diseases are emerging at unprecedented rates, prompting global efforts to understand factors shaping disease outcomes. …”
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Integration of FEM-based permeation analysis and AI-based predictive models for improved chemical grout permeation assessment in heterogeneous soils by Khin Nyein Chan Kyaw, Kuo Chieh Chao, Shinya Inazumi

“…Results showed that even with 5.5 % low-permeability content, average fill rates of 94.5 % (FEM) and 96 % (AI) were achieved, with worst-case scenarios dropping to approximately 81 % and 83 %, respectively. …”
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Oral cancer in Libya and development of regional oral cancer registries: A review by E. BenNasir, M. El Mistiri, R. McGowan, R.V. Katz

“…The aims of this paper are three-fold: (1) to summarize the current epidemiological data on oral cancer in Libya as reported in the published literature and as compared to other national oral cancer rates in the region; (2) to present both the history of the early development, and future goals, of population-based oral cancer tumor registries in Libya as they partner with the more established regional and international population-based cancer tumor registries; and, (3) to offer recommendations that will likely be required in the near future if these nascent, population-based Libyan oral cancer registries are to establish themselves as on-going registries for describing the oral cancer disease patterns and risk factors in Libya as well as for prevention and treatment. …”
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Data-driven nutritional assessment of urban food landscapes: insights from Boston, London, and Dubai by Michele Tufano, Fábio Duarte, Martina Mazzarello, Javad Eshtiyagh, Carlo Ratti, Guido Camps

“…The analysis revealed significant patterns between urban food landscapes, socioeconomic features, and obesity rates. …”
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Improved Performance for Dye-Sensitized Solar Cells Using a Compact TiO2 Layer Grown by Sputtering by Hung-Chih Chang, Ming-Jenq Twu, Chun-Yao Hsu, Ray-Quen Hsu, Chin-Guo Kuo

“…The results show that when the Ar/O2/N2 flow rates are 36 : 18 : 9, the photo-induced decomposition of methylene blue and photo-induced hydrophilicity are enhanced. …”
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A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems by Andrii Liashenko, Larysa Globa

“…Conventional methods – like clustering, statistical thresholds, and classical time series analysis – often fail to account for the spatial-temporal dependencies inherent in these systems, leading to high false positive rates or missed complex anomalies. In this paper, we propose a novel anomaly detection approach that combines Temporal Graph Neural Networks (TGNN) with Autoencoders. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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Symptom Trajectories and Clinical Subtypes in Post–COVID-19 Condition: Systematic Review and Clustering Analysis by Mingzhi Hu, Tian Song, Zhaoyuan Gong, Qianzi Che, Jing Guo, Lin Chen, Haili Zhang, Huizhen Li, Ning Liang, Guozhen Zhao, Yanping Wang, Nannan Shi, Bin Liu

“…Asia and Europe documented the most comprehensive symptom profiles, with Asia reporting lower early dyspnea rates (29%, 95% CI 18%‐40%) and Europe exhibiting more complex multisystem involvement during long-term follow-up. …”
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Health Service Utilization among Syrian Refugees with Chronic Health Conditions in Jordan. by Shannon Doocy, Emily Lyles, Laila Akhu-Zaheya, Arwa Oweis, Nada Al Ward, Ann Burton

“…Individuals with non-communicable diseases (NCDs) in the central region of Jordan and with arthritis had the lowest rates of care-seeking when compared to other regions and conditions. …”
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Groundwater Flooding of Superficial Gravels in an Urbanized Catchment by Jonathan D. Paul, Aneena Ajmi, Doris Bolaji‐Dada, Samuel Bordessoule

“…These manifestations of urbanization drive observed patterns of groundwater emergence, together with aquifer thickness, rather than changes in river stage or surface elevation alone. …”
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Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study by Shireen Jawed, Sundus Tariq, Zehra Jamil, Rabiya Ali, Rehana Rehman

“…Year I MBBS had superior acquaintance on healthy eating routines (p-value = 0.001), lifestyle patterns (p-value = 0.002), and stress handling practices (p-value < 0.001) as compared to senior class. …”
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Revolutionizing breast cancer immunotherapy by integrating AI and nanotechnology approaches: review of current applications and future directions by Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, Azeddine Ibrahimi

“…Selecting appropriate patients and monitoring patient treatments are crucial to ensure higher response rates with low adverse events. Various biomarkers were proposed to predict immunotherapy response, including tumor mutation burden, immune cell, and tumor microenvironment expression. …”
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What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study by Iván Chérrez-Ojeda, Emanuel Vanegas, Erick Calero, Karin Plaza, Jose A. Cano, Juan Carlos Calderon, Jorge Valdano, Jorge Oswaldo Gutierrez, Jose Guevara

“…The purpose of this study is to assess the frequency of use of information and communication technologies and patterns of preference among Ecuadorian patients with diabetes. …”
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