Regional, demographic, and temporal trends in myeloid leukemia mortality in the United States (1999-2022): a comprehensive analysis using CDC WONDER by Jenna Lehn, Hannah Fleming, Taylor Billion, Mohsin Mirza

“…This study investigates ML mortality patterns in the U.S. from 1999 to 2022, focusing on geographic and demographic disparities using age-adjusted mortality rates (AAMR) and average annual percent change (AAPC). …”
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“Ticking Bomb”: The Impact of Climate Change on the Incidence of Lyme Disease by Igor Dumic, Edson Severnini

“…Increases in daily average temperatures, a manifestation of climate change, might have contributed to an increase in tick abundance via higher rates of tick survival. Additionally, these environmental changes might have contributed to better host availability, which is necessary for tick feeding and life cycle completion. …”
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Cardiotoxicity in Pediatric Cancer Survivorship: Retrospective Cohort Study by Masab Mansoor, Andrew Ibrahim

“… Abstract BackgroundImproved survival rates in pediatric cancer have shifted focus to long-term effects of treatment, with cardiovascular complications emerging as a leading cause of morbidity and mortality. …”
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Projection of the Relationship between Climate Change Groundwater Resources Based on the MODFLOW Model by Fatemeh Boomeh, Mohammad Hosein Mokhtari, Ali Talebi, Massoud Goodarzi

“…In this scenario, groundwater levels are expected to drop by about 30 cm per year in the long term, largely due to changes in precipitation patterns and aquifer recharge rates.…”
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Mathematical modeling and estimation of physicochemical characteristics of pneumonia treatment drugs through a novel approach K-Banhatti topological descriptors by Abdul Rauf Khan, Ifra Naeem, Fairouz Tchier, Fikadu Tesgera Tolasa, Shahid Hussain

“…IntroductionPneumonia is the primary cause of mortality in preterm infants in developing nations; yet, early detection and treatment can significantly reduce mortality rates. Pharmaceutical researchers are diligently striving to identify avariety of drugs that might effectively cure pneumonia.MethodWe are motivated to examine the quantitative structureproperty relationships (QSPR) of anti-pneumonia pharmaceuticals. …”
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The Territorial Distribution of Incidence with Urogenital Chlamydia, Gonorrhea, and their Associated Complications in the Russian Federation by A. A. Abramov

“…The geographical distribution remained stable, with areas characterized by consistently low and high incidence rates. A correlation was found between the incidence of urogenital chlamydia, gonorrhea, and their complications. …”
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Exploring Connections Between Living Situations and Antipsychotic Prescribing Practices for People With Intellectual Disabilities by Eion Plenn, Calista Long, Samantha Acri, Cheryl Richardson

“…The investigation examined participants' living situations and assessed antipsychotic prescription rates, antipsychotic class, the presence of a corresponding mental health diagnoses, and polypharmacy. …”
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Solid-state analog of gravitational redshift: Transport signatures of massless Dirac fermions in tilted Dirac cone heterostructures by Marziyeh Karmand, Mohsen Amini, Morteza Soltani, Ebrahim Ghanbari-Adivi, Seyed Akbar Jafari

“…Smooth variations of the tilt reduces impedance mismatch of the electron waves, thereby giving rise to very high transmission rates. This concept can be used in combination with a sigmoid-shaped tilt texture for a gigantic redshift or blueshift engineering of the transmitted waves, depending on whether the sigmoid is downswing or upswing.…”
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Comparação entre as manifestações epilepticas ocorridas na Sindrome de Lennox-Gastaut, com e sem Sindrome de West pregressa Comparison of epileptic manifestations in Lennox-Gastaut... by José Geraldo Speciali, Michel Pierre Lison

“…The direct observation was possible due to high frequency rates of the seizures. Different clinical patterns were observed in patients who had and who had not previous history of West syndrome. …”
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Ensemble Learning Approaches for Multi-Class Intrusion Detection Systems for the Internet of Vehicles (IoV): A Comprehensive Survey by Manal Alharthi, Faiza Medjek, Djamel Djenouri

“…These methods aggregate multiple learners to improve detection rates, reduce false positives, and ensure more resilient intrusion detection models that can evolve alongside emerging attack patterns.…”
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Clinical features and outcomes of COVID-19 patients admitted at a tertiary hospital in Cebu City, Philippines by Mark Gavin Coronel Dinsay, Maria Teresa Acosta Cañete, Bryan Albert Tan Lim

“…The most common complications on admission were ARDS (10.9%), AKI (10.1%), shock (6.6%), and cardiac arrest (6.3%). Mortality rates were highest in critical cases (82.8%). Severe and critical COVID-19 cases were predominant on final disposition, rising to 62.5% of the study population from 32.1% on admission. …”
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Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management by L.O.F. Ben Dalla, T. D. Medeni, I. T. Medeni, M. Ulubay

“…By implementing K-means clustering in Weka, the system categorizes patients and identifies patterns to reduce risks and costs for healthcare analytics. …”
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An increasing public health problem: Suspected rabies exposures by Ahmet Onder Porsuk, Cigdem Cerit

“…Conclusions: The case rates seen in children indicate the need for special studies for children. …”
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Mutualism and Dispersal Heterogeneity Shape Stability, Biodiversity, and Structure of Theoretical Plant–Pollinator Meta-Networks by Chinenye Assumpta Onyeagoziri, Henintsoa Onivola Minoarivelo, Cang Hui

“…Consequently, the role of different dispersal rates (between local networks and across species) in stability and network structures is not well understood. …”
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Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru by Aldo S. Moya-Álvarez, Daniel Martínez-Castro, José L. Flores, Yamina Silva

“…Categorical forecast verification of the occurrence of rainfall as a binary variable showed detection rates higher than 85%. According to this criterion, the best performing configuration was the combination of Betts–Miller–Janjic and Morrison. …”
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Trends in Myocardial Infarction risk by HIV status in two U.S. healthcare systems. by Alexandra N Lea, Asya Lyass, Leo B Hurley, Rachel Q Ehrbar, Taylor F Mahoney, Leila H Borowsky, Wei He, Jorge Plutzky, Virginia A Triant, Michael J Silverberg

“…Results showed an increased MI risk persisted among people with HIV in recent years relative to people without HIV, even as CVD rates are decreasing in the general population. In light of known HIV-specific CVD risk factors, continued surveillance for MIs is merited.…”
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Development and validation of a questionnaire for assessing pathomorphoisis and pathoplasty of stereotypes in autism spectrum disorders and schizophrenia in childhood by L. Zh. Attaeva, I. V. Makarov

“…Identification of specific patterns of atypical behavior in these disorders can improve the specificity of diagnoses and monitor response to treatment. …”
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A Comprehensive Study of Deep Learning Approaches for Predicting Reciprocal Traffic Dynamics and Climate Variability by Abrar Ali, Wadhah R. Baiee

“…In addition, the significant impact of extreme weather events on traffic flow was found; for instance, heavy precipitation events can lead to a 30% decrease in speed and increased accident rates up to 20%. Climate variability integrated into traffic models increases the prediction of long-term traffic trends by 12%, justifying the significance of the influence of climate factors in traffic management systems …”
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Pediatric urinary tract infection and prevalence of antibiotics resistance – A retrospective study in the Qassim region by Yasir S. Alkhalifah, Hassan El Khatib

“…In contrast, both pathogens demonstrated lower resistance rates to cefepime, piperacillin-tazobactam, and meropenem. …”
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MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…In this study, we present a Metabolic-Informed Neural Network (MINN) that utilizes multi-omics data to predict metabolic fluxes in Escherichia coli, under different growth rates and gene knockouts. We test its performances against pure ML and parsimonious Flux Balance Analysis (pFBA), demonstrating its efficacy in improving prediction performances. …”
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