Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…LSTM effectively captured short-term patterns but struggled with long-term dependencies, while GRU, though computationally efficient, exhibited higher error rates. …”
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Incidence, prevalence, and burden of type 2 diabetes in China: Trend and projection from 1990 to 2050 by Haojie Zhang, Qingyi Jia, Peige Song, Yongze Li, Lihua Jiang, Xianghui Fu, Sheyu Li, Jinjiao Li

“…Background:. The epidemiological pattern and disease burden of type 2 diabetes have been shifting in China over the past decades. …”
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Global, regional, and national burden of maternal disorders, 1990–2021: a systematic analysis from the global burden of disease study 2021 by Jie Huang, Yuanyuan Man, Zan Shi, Xiaojie Fu, Wenhao Shi, Xiaoling Liang

“…The Global Burden of Disease Study (GBD), recognized as the most comprehensive epidemiological surveillance system, provides critical evidence for optimizing maternal health policies through systematic quantification of disease burden patterns. This multinational study employs GBD 2021 data to conduct a spatiotemporal analysis of maternal disorder burden across 21 GBD regions and 204 countries and territories from 1990 to 2021, utilizing standardized metrics including DALYs, prevalence rates, and mortality incidence. …”
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Evaluating Gestational Weight Gain and Its Maternal and Fetal Outcomes at Tertiary Care Hospital, Abbottabad by Wajeeha Yahya, Rabia Hammad, Halima Sadia, Takasur Bibi, Naila Khan, Mamoona Kouser, Ejaz Ahmed

“…This study aimed to determine the frequency and variety of GWG patterns among pregnant women residing in Abbottabad, along with their assessment of associations between these patterns and unfavorable maternal (cesarean delivery) and fetal (LBW) outcomes. …”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…Additionally, the U-Net-ASPP_Cent and U-Net-ASPP_Diag configurations provided IoU gains of 1.18% and 1.96%, respectively, while also reducing false positive rates. These results highlight the effectiveness of incorporating region-specific dilation strategies, enhancing the model’s ability to detect diverse and challenging fault patterns in complex thermal imagery. …”
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Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients by Jing Shi, Shi Han, Yating Zhang, Xiaohua Lu, Yunxia Gan, Narenqimuge Tong, Lu Ma, Hang Zhuan, Ying Dai, Yaqi Ji, Guoming Li, Dan Chen, Lu Yang

“…Influenza-positive patients had higher rates of S. pneumoniae and H. influenzae infections, while influenza-negative patients had higher rates of Human parainfluenza viruses and Human rhinoviruses. …”
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Ischemic heart disease burden attributable to inadequate omega-3 fatty acid intake in Chinese adults, 1990–2021: an Age-Period-Cohort analysis of the Global Burden of Disease study... by Lin Luo, Lin Luo

“…Although both death rates and DALY rates have decreased, population aging continues to drive an increase in the absolute disease burden. …”
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Antimicrobial Resistance of Salmonella enterica Serovars Typhi and Paratyphi Isolates from a General Hospital in Karawaci, Tangerang, Indonesia: A Five-Year Review by Nata Pratama Hardjo Lugito, Cucunawangsih

“…It is a prevalent disease in Indonesia, but data on the antimicrobial resistance pattern is limited. This study aim was to provide data on the antimicrobial resistance pattern of S. …”
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Electrical Capacitance Probe Characterization in Vertical Annular Two-Phase Flow by Grazia Monni, Mario De Salve, Bruno Panella, Carlo Randaccio

“…The ECP is used to investigate a vertical air/water flow, characterized by void fraction higher than 95%, with mass flow rates ranging from 0.094 to 0.15 kg/s for air and from 0.002 to 0.021 kg/s for water, corresponding to an annular flow pattern. …”
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Construction and Validation of an Oxidative Phosphorylation Signature in High-Grade Glioma and Potential Inhibitors Screening by Hanwen Lu, Wenpeng Zhao, Bingchang Zhang, Yuanyuan Xie, Jiawei He, Huiying Yang, Zhanxiang Wang

“…Glioma is a devastating type of brain tumor with high morbidity and mortality rates. Despite current treatment options, the prognosis for glioma patients remains poor. …”
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Managing Soil Biota-Mediated Decomposition and Nutrient Mineralization in Sustainable Agroecosystems by Joann K. Whalen

“…Methods are proposed to determine the rates of decomposition and nutrient release from organic residues. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…Our findings reveal a consistent exponential pattern in the energy eigenbasis decomposition contributions of approximate states across different ansatzes, optimization objectives, and quantum systems, characterized by remarkably small decay rates, i.e., high effective temperatures. …”
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GNSS VELOCITY AND STRAIN FIELD IN THE NORTHERN SUMATRA 15 YEARS AFTER THE 2004 M9.2 SUMATRA ANDAMAN EARTHQUAKE by S. M. Alif, O. Anggara, M. F. Jihad, R. S. Perdana

“…To do this, a comparison was made of velocities and strain rates over two periods. The velocities of 5.5 to 40.5 mm/yr and the strain rate up to 47.2 μstrain/yr were obtained from the recently acquired GNSS data. …”
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Design of a High-Gain, Slotted Ultra-Wideband Antenna with T-shaped slots for Millimeter-Wave Applications by hassan falih

“…The results show a steady end-fire radiation pattern with a gain of more than 9.5 dBi across the whole frequency range. …”
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First Molecular Characterization and Antibiogram of Bacteria Isolated From Dairy Farm Wastewater in Bangladesh by Md. Shamsul Islam, Md. Arif-Uz-Zaman Polash, Md. Hakimul Haque

“…Antibiogram analysis revealed significant resistance patterns: P. aeruginosa exhibited the highest resistance to penicillin (85.71%) and amoxicillin (76.19%), while demonstrating greater sensitivity to ciprofloxacin and cotrimoxazole. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…It also proposes the Solar FaultNet‐a novel deep learning‐based approach that significantly improves fault detection performance in solar PV systems and integrates the model with state‐of‐the‐art ML techniques like CNN and LSTM to capture inherent complex patterns and interdependencies of fault data. Besides, the proposed model outperforms conventional machine‐learning algorithms and state‐of‐the‐art deep‐ learning models for better performance by yielding higher accuracy, precision, recall, F1‐score, and low error rate on various fault types such as PV array faults, inverter faults, grid synchronization faults, and environmental faults. …”
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Association of Paternal Diabetes With Hemorrhagic Stroke in Bangladeshi Women: The MAGPIE Study by Md. Abdullah Yusuf, Redoy Ranjan, Dipannita Adhikary, Adneen Moureen, Maliha Hakim

“…We utilized univariate analysis to identify risk patterns in the data sets, whereas a multivariate logistic regression (LR) analysis identified the independent predictors of HS in women. …”
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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…In clinical settings, where whole-slide images of histological lymph nodes are involved, it is crucial to identify and detect breast cancer metastases. Patient survival rates increase significantly with early detection. …”
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