How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

“…We find that a system’s growth rate during the first 2 h of development predicts its final size with a Pearson correlation coefficient of 0.65. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Based on evaluation metrics, the AdaBoost model was identified as the best-performing model, achieving an accuracy of 97.45%, an F1 score of 97.7%, and the Receiver Operating Characteristics Area Under the Curve (ROC-AUC) with a higher true positive rate and a lower false positive rate. The study recommends integrating a machine learning model into healthcare systems to detect STIs early, improve medical care, reduce disease progression, and remove stigmatisation barriers. …”
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Unequal trends in coronary heart disease mortality by socioeconomic circumstances, England 1982-2006: an analytical study. by Madhavi Bajekal, Shaun Scholes, Martin O'Flaherty, Rosalind Raine, Paul Norman, Simon Capewell

“…However, this concealed contrasting patterns in underlying age-specific rates. From 2000, mortality rates levelled off in the youngest groups but accelerated in middle aged and older groups. …”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

“…We then used the state obesity rates from the Behavioral Risk Factor Surveillance System (BRFSS) to assess the correlation between state obesity rates and dietary images on Twitter. …”
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Sexual behaviors and associated factors among first-year undergraduates at overseas Chinese-oriented universities in China by Zulin Chen, Zulin Chen, Yikun Zheng, Lihan Lin, Lihan Lin, Yongjun Chen, Yunting Zheng, Hongmiao Chen, Hongmiao Chen

“…The rate was significantly higher among students from Hong Kong, Macau, and Taiwan compared to those from Mainland China and abroad (p < 0.05), which was corroborated by the logistic regression (OR = 3.737, 95% CI: 2.846–4.908). …”
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Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania by Karin Wiedenmayer, Samuel Mungai, Romuald Mbwasi, Calvin Andeve Omolo, Eva Ombaka, Rajabu Mohamedi Kingo

“…Resistance data were quantitatively analysed, with particular attention given to penicillinase-sensitive penicillins and their resistance rates among gram-negative and Gram-positive bacteria.Results Analysis revealed that single penicillins, particularly amoxicillin, dominated prescriptions, accounting for 25% to 60% of hospitals and 13% to 29% of primary health centres. …”
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High‐speed main protection for multiterminal LCC‐MMC‐UHVDC based on initial wave process comparison by Yan Li, Jun Li, Guiyuan Li, Runbin Cao, Xinjie Zeng, Ning Tong

“…By utilizing the theoretically calculated rate‐of‐change waveform for the backward current traveling wave in an external fault scenario as a reference, a main protection relay grounded in initial wave process comparison is proposed. …”
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Time-series visual representations for sleep stages classification. by Rebeca Padovani Ederli, Didier A Vega-Oliveros, Aurea Soriano-Vargas, Anderson Rocha, Zanoni Dias

“…To address this, we evaluated visual representations of time series data collected from accelerometer and heart rate sensors in smartwatches. Techniques such as Gramian Angular Field, Recurrence Plots, Markov Transition Field, and spectrograms were implemented. …”
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Modeling Cut Rose Yield Over an 18‐Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting by E. A. deNijs, A. Tietema, R. Bol, E. E. vanLoon

“…As the crop matured, asymptote parameter estimates increased, while growth rate parameter estimates decreased, reflecting a stabilization of growth patterns. …”
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Clinical Spectrum of Pediatric Traumatic Brain Injury—A Prospective Observational Study by Shiji Chalipat, Sandeep Kumar, Sudhir Malwade, Vishwanath Kulkarni, Jeevana Bollineni

“…The mean duration of hospital stay was 5.29 ± 6.6 days. Overall mortality rate was 2%, good outcome was noted in 88 (92.6%) and poor outcome in seven children (7.3%). …”
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Asymmetric cell division of ALDH1-positive cancer stem cells generates glycolytic metabolically diverse cell populations by Shoma Tamori, Chika Matsuda, Takahiro Kasai, Shigeo Ohno, Kazunori Sasaki, Kazunori Akimoto

“…Here, we revealed that PKCλ-dependent asymmetric division of ALDH1-positive cancer stem cells (CSCs) led to an uneven distribution of glycolytic capacity, which is crucial for understanding metabolic heterogeneity within a tumor. The rate-limiting enzyme PFKP and the metabolic probe CDG in glycolysis codistributed with the ALDH1A3 protein during the post-cell division phase, highlighting a mechanism for acquiring metabolic diversity. …”
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A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting by Zihan Liu, Zijia Zhang, Weizhe Zhang

“…We evaluate the proposed framework on eight public datasets (electricity, exchange rate, weather, traffic, illness, ETTh1/2, and ETTm1/2) covering diverse domains and scales. …”
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Bayesian spatio-temporal conditional autoregressive localized modeling techniques for socioeconomic factors and stunting in Indonesia by Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono, Dian Handayani, Nurwan Nurwan

“…Assuming a Poisson likelihood for stunting counts, the optimal model was estimated using Markov Chain Monte Carlo methods and included two covariates, namely the poverty rate and the incidence of low birth weight, with up to five spatial clusters. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…An AUC of 98.2%, an F1-score of 96.8%, and a false positive rate of only 0.02% underline the model’s generalizability, accuracy, and resilience. …”
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Saccadic intrusions in amyotrophic lateral sclerosis (ALS) by Wolfgang Becker, Martin Gorges, Dorothée Lulé, Elmar Pinkhardt, Albert Christian Ludolph, Jan Kassubek

“…Yet, there were clear correlations with parameters such as eye blink rate or errors in a delayed saccade task that suggest an impairment of inhibitory mechanisms, in keeping with the notion of a frontal dysfunction in ALS. …”
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Measuring and Analyzing the Spatiotemporal Evolution of Agricultural Green Total Factor Productivity on the Tibetan Plateau (2002–2021) by Mengmeng Zhang, Jianyu Xiao, Chengqun Yu

“…The main findings are as follows: (1) AGTFP in Tibet rose overall from 0.949 in 2002 to 1.068 in 2021, with a compound annual growth rate of 0.78%, yet remained below the national average; (2) significant regional heterogeneity emerged, with three typical evolution patterns identified: continual improvement (Nagqu, Qamdo), stable fluctuation (Lhasa, Xigazê), and risk of decline (Lhoka, Nyingchi, Ngari); (3) gains in pure technical efficiency were the primary driver of AGTFP growth, while insufficient scale efficiency was a key constraint; (4) AGTFP exhibited a “convergence–divergence–reconvergence” dynamic, with interregional disparities widening but structural patterns stabilizing; and (5) interregional inequality was the main source of overall disparity—its importance grew over the study period, with the largest gap observed between agrarian and pastoral zones. …”
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The emerging threat of multidrug-resistant mecA gene-positive coagulase-negative Staphylococci by Samira Fattah Hamid, Aza Bahadeen Taha, Shler Qasim Hussien

“…The clinical isolation rate of these bacteria has increased in parallel with a rising prevalence of antibiotic resistance. …”
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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…Breast cancer has the highest mortality rate. Therefore, histologic imaging evaluations must detect breast cancer early. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…With the SGCC dataset, the method achieved an AUC (area under the curve) of 96.7%, a mAP@100 (mean average precision at 100) of 95.7%, and an FPR (false positive rate) of 8.1%. With the CER dataset, the method achieved an AUC of 96.7%, a mAP@100 of 97.3%, and an FPR of 5.2%. …”
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High nutrient loads amplify carbon cycling across California and New York coastal wetlands but with ambiguous effects on marsh integrity and sustainability. by Elizabeth Burke Watson, Farzana I Rahman, Andrea Woolfolk, Robert Meyer, Nicole Maher, Cathleen Wigand, Andrew B Gray

“…While high nutrient exposure marshes had high rates of decomposition and soil respiration rates, high nutrient exposure was also associated with increased belowground production, and reduced levels of sulfides, which should lead to greater marsh sustainability. …”
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