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Enzymatic Oxidants, Antioxidants, and Inflammatory Bowel Disease
R. Steven Esworthy
Posted: 21 December 2024
Enhancing Automotive Intrusion Detection Systems with CHERI-Based Memory Protection
Chathuranga Sampath Kalutharage,
Saket Mohan,
Xiaodong Liu,
Christos Chrysoulas
Posted: 21 December 2024
Time-Series Analysis and Forecasting of Air Pollution Mortality Rates in Central Asian Cities
Aldaiar Ramis uulu,
Zhenishbek Orozakhunov
Air pollution poses a significant health risk worldwide, with mortality rates from ambient particulate matter pollution increasing in many regions. This study focuses on forecasting air pollution-related mortality rates in two Central Asian cities, Bishkek (Kyrgyzstan) and Almaty (Kazakhstan). Utilizing time-series models, specifically Long Short-Term Memory (LSTM) networks and Prophet, the research aims to provide accurate predictions that can inform public health policies and interventions. The proposed methodology integrates advanced data preprocessing techniques, robust model architectures, and hyperparameter tuning to achieve an accuracy exceeding 85%. The findings reveal that time-series forecasting can effectively model the trend and seasonality of mortality rates, offering actionable insights for policymakers.
Air pollution poses a significant health risk worldwide, with mortality rates from ambient particulate matter pollution increasing in many regions. This study focuses on forecasting air pollution-related mortality rates in two Central Asian cities, Bishkek (Kyrgyzstan) and Almaty (Kazakhstan). Utilizing time-series models, specifically Long Short-Term Memory (LSTM) networks and Prophet, the research aims to provide accurate predictions that can inform public health policies and interventions. The proposed methodology integrates advanced data preprocessing techniques, robust model architectures, and hyperparameter tuning to achieve an accuracy exceeding 85%. The findings reveal that time-series forecasting can effectively model the trend and seasonality of mortality rates, offering actionable insights for policymakers.
Posted: 21 December 2024
Sustained Nitric Oxide Release Using Hybrid Magnetic Nanoparticles for Targeted Therapy: An Investigation via Electron Paramagnetic Resonance (EPR)
Rawan Hadra,
Ronit Lavi,
Yifat Harel,
Esthy Levy,
Jean Paul Lellouche,
Svetlana Gelperina,
Rachel Persky
Posted: 21 December 2024
Dysbiosis-NK Cell Crosstalk in Pancreatic Cancer: Toward a Unified Biomarker Signature for Improved Clinical Outcomes
Sara Fanijavadi,
Lars Henrik Jensen
Posted: 21 December 2024
A Window to New Insights on Progression Independent of Relapse Activity in Multiple Sclerosis: Role of Therapies and Current Perspective
Tommaso Guerra,
Pietro Iaffaldano
Posted: 20 December 2024
Central Serous Chorioretinopathy in Endometriosis Treatment with Progestogen: A Metabolic Understanding
Francesco Chiara,
Sarah Allegra,
Maura Caudana,
Jacopo Mula,
Davide Turco,
Simona Liuzzi,
Maria Paola Puccinelli,
Giulio Mengozzi,
Silvia De Francia
Posted: 20 December 2024
Functional and Structural Changes in the Inner Ear and Cochlear Hair Cell Loss Induced by Hypergravity
Jin Sil Choi,
Kyu-Sung Kim,
Hyun Ji Kim
Posted: 20 December 2024
Diagnostic In Vivo Assay of Glucose on the Real Brain Cells and Fluids by Using with Modified Carbon Nanotube Micro Probe
Kyung Lee,
Yeseul Oh,
Seo Jun Lee,
Ye Jun Oh,
Keum Sook Kim,
Do Gyeong Kim,
Suw Young Ly
Background/Objective; In-vivo diabetes detection of glucose were sought using square-wave anodic stripping voltammetry (SW), with bismuth-immobilized carbon nanotube paste electrode (BCE). Methods:The optimum analytical results indicated sensitive peak signals on the BCE. The raw voltammogram was approached within the 1mgL-1-14mgL-1 and 10ugL-1-140 ugL-1, detection limits with preconcentration times of 100 and 200 sec. Results:The relative standard deviation was 0.02 % (n=15) of 10.0 mgL-1 under optimum conditions. The analytical detection limit (S/N) was attained at 8 ugL-1. The handmade microsensor was directly used in vivo on the living fish brain and human urine. Conclusion: The method was applied at real time in vivo, without requiring any pretreatment and other ionic electrolyte solutions. It can be used for medicinal and other materials requiring biological-fluid detection in real time. This study was designed to be suitable for real-time unmanned remote diagnosis and therapeutic drug injection into the body, micro-needle long-term administration, wearable artificial skin tattoo sensor, and real-time control. In addition, the glasses monitor was designed to be suitable for multitasking and multi-user control.
Background/Objective; In-vivo diabetes detection of glucose were sought using square-wave anodic stripping voltammetry (SW), with bismuth-immobilized carbon nanotube paste electrode (BCE). Methods:The optimum analytical results indicated sensitive peak signals on the BCE. The raw voltammogram was approached within the 1mgL-1-14mgL-1 and 10ugL-1-140 ugL-1, detection limits with preconcentration times of 100 and 200 sec. Results:The relative standard deviation was 0.02 % (n=15) of 10.0 mgL-1 under optimum conditions. The analytical detection limit (S/N) was attained at 8 ugL-1. The handmade microsensor was directly used in vivo on the living fish brain and human urine. Conclusion: The method was applied at real time in vivo, without requiring any pretreatment and other ionic electrolyte solutions. It can be used for medicinal and other materials requiring biological-fluid detection in real time. This study was designed to be suitable for real-time unmanned remote diagnosis and therapeutic drug injection into the body, micro-needle long-term administration, wearable artificial skin tattoo sensor, and real-time control. In addition, the glasses monitor was designed to be suitable for multitasking and multi-user control.
Posted: 20 December 2024
Formation of Mitochondrial Dysfunction of Nerve Cells in Cerebral Ischemia and Possibilities of Pharmacological Correction
Igor Belenichev,
Olena Popazova,
Nina Bukhtiyarova,
Victor Ryzhenko,
Sergii V. Pavlov,
Elina Suprun,
Valentyn Oksenych,
Oleksandr Kamyshnyi
Posted: 20 December 2024
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