RiverBedDynamics v1.0: a Landlab component for computing two-dimensional sediment transport and river bed evolution by A. D. Monsalve, S. R. Anderson, N. M. Gasparini, E. M. Yager

“…Furthermore, application of our LEM to a synthetic watershed illustrates how spatially variable rainfall intensity leads to varying discharge patterns, which in turn drive changes in bed elevation and grain size distribution across the domain. …”
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Prevalence and determinants of apparent treatment-resistant hypertension among patients in South African primary care: a single-centre observational study by Kellicia Courtney Govender, Mergan Naidoo

“…Accordingly, we aimed to evaluate the prevalence, clinical and biochemical profiles, and therapeutic patterns associated with TRH among hypertensives in primary care. …”
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Feasiblity Study on the Longitudinal Section of the Fetal Esophagus by Prenatal Ultrasound between 21 and 23 Gestational Weeks by Xiulan Chen, Yongsheng Zhu, Ning Zhou, Li Ma, Mingfen Xu, Siyao Zhong

“…Results: Longitudinal esophageal sections were visualized in 94.0% (n = 205/218) of patients. The visualization rates between fetuses in different positions were statistically significant (p < 0.05). …”
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Building a dynamic web calculator for individualized conditional survival estimation in brainstem ependymoma by Hua Huang, Regina Chizi Tunje, Jiajie Xia, Zhihao Yang

“…CS analysis was performed to assess changes in survival probability over time. Annual hazard rates were calculated to identify high-risk periods. …”
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SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…The model achieved detection rates of 99.19% for insider threats, 98.23% for privilege escalation, and 99.27% for data breaches while reducing false positives by over 40% compared to existing approaches. …”
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Gas Exchange and Productivity in Temperate and Droughty Years of Four Eastern, Elite Loblolly Pine Genotypes Grown in the Western Gulf Region by Michael A. Blazier, Michael C. Tyree, Mary Anne Sword Sayer, Dipesh KC, Wilson G. Hood, Bradley S. Osbon

“…Advances in loblolly pine breeding have led to the development of clonally propagated genotypes with higher potential growth rates and better form than more commonly planted half-sib genotypes. …”
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Impact of Climate Variability on Coffee Production in Kambuga Sub-County Kanungu District. by Tumutegyerize, Vicent

“…The findings showed that climatic factors that have affected coffee production in Kambuga sub-county, Kanungu district include; Temperature, Rainfall Patterns, Pests and Diseases, Rainfall, Humidity, and Climate Extremes. …”
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Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season by Clair Barnes, Piyush Jain, Theodore R Keeping, Nathan Gillett, Jonathan Boucher, Philippe Gachon, Dorothy Heinrich, Megan Kirchmeier-Young, Yan Boulanger

“…Blocking circulation patterns are likewise associated with increased DSR, with the strongest responses in May and September. …”
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Radiological features of gait phenotypes in patients with idiopathic normal pressure hydrocephalus by Silvia Nicolosi, Silvia Nicolosi, Massimiliano Todisco, Massimiliano Todisco, Matteo Paoletti, Eduardo Caverzasi, Eduardo Caverzasi, Francesco Tarantino, Elena Ballante, Francesca Valentino, Roberta Zangaglia, Silvia Figini, Silvia Figini, Giuseppe Cosentino, Giuseppe Cosentino, Claudio Pacchetti, Anna Pichiecchio, Anna Pichiecchio

“…IntroductionAccording to the higher-level gait disorder (HLGD) pattern, patients with idiopathic normal pressure hydrocephalus (iNPH) can be divided into two motor phenotypes; a disequilibrium (wide-based gait) subtype and a parkinsonian (locomotor) subtype. …”
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Understanding the demographic and socioeconomic determinants of morbidity in Eastern Uganda: a retrospective analysis of the Iganga-Mayuge health and demographic surveillance data by Dan Kajungu, Henry Owoko Odero, Agnes Kiragga, Steve Bicko Cygu, Betty Nabukeera, Lindsey English, Shakira Babirye, Collins Gyezaho, Maureen Ng'etich, Michael Ochola, David Amadi, Grace Banturaki, Damazo Twebaze Kadengye

“…Noteworthy demographic variations, particularly gender and age, significantly impact disease distribution, revealing higher diagnosis rates among females. Additionally, socioeconomic factors, including education and wealth status, contribute to discernible differences in disease burden.Conclusion This research provides crucial insights into the implications of demographic and socioeconomic factors on disease burden in Uganda. …”
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Comparative Sensitivity Analyses of Energy Consumption in Response to Average Speed Between Electric Vehicles and Conventional Vehicles: Case Study in Beijing, China by Xue Lei, Hongyu Lu, Pengfei Fan, Rui Liu, Songsong Li, Yizheng Wu, Guohua Song

“…This discrepancy is primarily attributed to differences in energy consumption rates rather than variations in driving behavior, as reflected in VSP distributions.…”
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Public health surveillance of tropical diseases in Madagascar: a scoping review of population burden, intervention strategies, and health system responses by Mamy Jayne Nelly Rajaofera, Wei Liu, Sylvana Tomboanona, Alphonsine Mboty Reziky, Dai Kuang, Qianfeng Xia

“…Results Madagascar shows divergent disease patterns compared to regional averages. Malaria represents the biggest concern, with cases up 132% and deaths up 278% by 2023, now exceeding regional rates. …”
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Syndromic Testing in the Pandemic Era and Beyond: Rapid Detection for Respiratory Infections in Istanbul by Mustafa Onel, Hayriye Kırkoyun Uysal, Arat Hulikyan, Yasemin Ayse Ucar, Gizem Yapar, Aytaj Allahverdiyeva, Serra Zeynep Akkoyunlu, Eray Yurtseven, Mehmet Demirci, Sevim Mese, Ali Agacfidan

“…In light of our findings showing high rates of SARS-CoV-2 and RV/EV detection, along with diverse patterns of coinfection in clinical samples, such comprehensive testing not only assists in rapid diagnosis but also informs public health strategies by reflecting the evolving landscape of respiratory infections in the pandemic and post-pandemic era.…”
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Clinical characteristics of obsessive-compulsive disorder comorbid with obsessive -compulsive personality disorder: subtype implications by Ayse Dondu, Levent Sevincok

“…The severity of current OC symptoms was assessed using the Yale–Brown Obsessive Compulsive Scale (Y-BOCS), while depressive symptoms were measured with the Hamilton Depression Rating Scale (HDRS). Anxiety symptoms were also evaluated using the Hamilton Anxiety Rating Scale (HARS).ResultsAmong 148 OCD patients, 58.8% met the diagnostic criteria for OCPD. …”
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Helicopter hoist operations in German mid-range mountains retrospective analysis of incidence, medical characteristics, and mission tactics by Sebastian Heinrich, Christoph Wielant, Frank Lerch, Mirko Friedrich, Jörg Braun, Florian Reifferscheid, Hans-Jörg Busch, for the Scientific Working Group of German Air Rescue

“…The contributing air rescue bases' operational tactics and the underlying medical characteristics, such as injury patterns and the provided medical care, are also reported. …”
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Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…The experimental results demonstrate the framework&#x2019;s operational capability and effectiveness for SCADA network security, achieving 99.29% accuracy, 94.8% recall and 4.1% false positive rates.…”
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DiffuseGaitNet: Improving Parkinson&#x2019;s Disease Gait Severity Assessment With a Diffusion Model Framework by Arshak Rezvani, Nasrin Ravansalar, Mohammad Ali Akhaee, Andrew J. Greenshaw, Russell Greiner, Maryam S. Mirian, Muhammad Yousefnezhad, Martin J. McKeown

“…Assessing the severity of gait impairment in Parkinson&#x2019;s disease (PD) using the Movement Disorder Society&#x2019;s Unified Parkinson&#x2019;s Disease Rating Scale (MDS-UPDRS) is typically performed by clinical experts, but this process is time-consuming, subjective, and costly. …”
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Whole-Genome Sequence-Based Diversity of <i>Mycobacterium tuberculosis</i> Strains Isolated from a Central Western Region of Mexico by Andrea Monserrat Negrete-Paz, Gerardo Vázquez-Marrufo, Adrián Rodríguez-Carlos, Bruno Rivas-Santiago, Ma. Soledad Vázquez-Garcidueñas

“…Tuberculosis remains a significant health issue in Mexico, which has one of the highest incidence rates in the Americas. This study aimed to analyze the circulating sublineages, spoligotypes, drug resistance, and transmission patterns of <i>Mycobacterium tuberculosis</i> in Mexico’s Central Western region using whole-genome sequencing. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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