Analysis and Research on Associated Elements Nb, Zr, Ga and Sc in Sedimentary Rare Earth Ores by Shujun LIU, Lu XU, Daxing GONG, Jianchun YI, Chaohui ZHAO

“…A preliminary exploration of their distribution patterns during selective leaching processes was also conducted. …”
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Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

“…The framework systematically reduced observation periods and increased censoring rates while measuring performance through multiple metrics following Bayesian hyperparameter optimization. (3) Results: Model performance showed greater sensitivity to increased censoring rates than to reduced observation periods. …”
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Socioeconomic and locational disparities in primary education completion in Burkina Faso by Lazarus Obed Livingstone Banda

“…Design/methodology/approach – Using a quantitative, non-experimental approach, the study analyzes nationally representative secondary data using hierarchical linear modeling, binary logistic regression and propensity score matching (PSM) to assess correlational patterns in completion rates. Findings – The results indicate significant regional and urban-rural disparities in completion rates, with urban students showing markedly higher odds of completing primary education than their rural peers. …”
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Patient Adherence for Oral Combination Therapies in Diabetes Management: A Scoping Review by Maryam Zarrinkamar, Mojgan Geran, Mohammad Geran

“…Dual therapy regimens demonstrated adherence rates ranging from 49% to 80.8%, while FDC therapies showed adherence rates ranging from 60.3% to 98.9%. …”
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The major risk factor of stroke across Indonesia; a nationwide geospatial analysis of universal health coverage program by Andi Alfian Zainuddin, Rais Reskiawan A. Kadir, Hedi Kuswanto, Jumraini Tammasse, Nurul Qalby, Andi Afdal Abdullah, Ari Andini Junaidi, Al Asyary

“…Methods The data were collected from the Social Health Insurance Administration Body, which manages Indonesia’s universal health coverage, between 2017 and 2022. Crude incidence rates for the diseases were calculated and spatial distribution patterns were analyzed using Global and local Moran analysis. …”
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Electrical Activity of the Gastrointestinal Tract in Critically Ill Patients by E. V. Alekseeva, T. S. Popova, P. S. Salnikov, G. A. Baranov, I. N. Pachechnik

“…With an increase in the total severity of the condition and in the magnitude of IF regardless of the disease profile, there were unilateral GIT EA changes, their moderate and rather high correlation with APACHE II, SAPS II, SOFA, LOD scores, IF stage — with 28-day survival rates. The use of glutamine provided an increase in 28-day survival rates in patients with an APACHE II score of > 15 scores and type 2 GIT EA. …”
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Exposure-Sensitivity-Adaptability (ESA) framework based evaluation and characteristics analysis of urban disasters vulnerability in China by Rui Zhang, Anli Jiang, Linlin Jiang

“…Analysis reveals distinct spatial patterns: eastern cities show 35% lower vulnerability scores compared to central and western regions, forming a clear vulnerability gradient. …”
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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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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…Based on features, the sorted-out data gets evaluated through a GRU-LSTM (Gated Recurrent Unit - Long Short-Term Memory) network to identify the state of the infant as usual and suggestive of hypoglycemia—blood glucose below 70 mg/dL, pale complexion, profuse perspiration. …”
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Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
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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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