THE COMPLEXITY OF SKELETAL TRANSVERSE DIMENSION: FROM DIAGNOSIS, MANAGEMENT, AND TREATMENT STRATEGIES TO THE APPLICATION OF COLLABORATIVE CROSS (CC) MOUSE MODEL

The Complexity of Skeletal Transverse Dimension: From Diagnosis, Management, and Treatment Strategies to the Application of Collaborative Cross (CC) Mouse Model

This study investigates the significance of skeletal transverse dimension (STD) in orthodontic therapy and its impact on occlusal relationships.The primary goal is to enhance understanding and promote the integration of transverse skeletal diagnostics into routine orthodontic assessments.To achieve this aim, the study employs a comprehensive approa

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The Italian Society of Rheumatology clinical practice guidelines for the management of polymyalgia rheumatica

Objective: to provide evidence-based up-to-date recommendations for the management of patients with a definite diagnosis of polymyalgia rheumatica (PMR).Methods: A systematic literature review was performed to find the existing clinical practice guidelines (CPGs) on PMR and the framework of the Guidelines International Network Adaptation Working Gr

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Truck Drivers And Risk Of STDs Including HIV

Research Question: Whether long distance truck drivers are at a higher risk of contracting and transmitting STDs including HIV? Objectives: i) To study the degree of knowledge of HIV and AIDS among long- distance truck drivers.ii) Assess their sexual behaviour including condom use.iii) Explore their prevailing social influences and substance abuse

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Specific Combination of Salvianolic Acids As Core Active Ingredients of Danhong Injection for Treatment of Arterial Thrombosis and Its Derived Dry Gangrene

Although single-targeting anti-platelet agents are used extensively in clinics, their limitations in resistance and bleeding have started a trend of combination therapy.Danhong injection (DHI) is a widely prescribed injection medicine for cardiovascular and cerebrovascular diseases in China.However, its precise clinical efficacy and functional comp

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An Ensemble Deep Neural Network-Based Method for Person Identification Using Electrocardiogram Signals Acquired on Different Days

Electrocardiogram (ECG) signals are a measure minute electrical signals generated during the cardiac cycle, a biometric signal that occurs during vital human activity.ECG signals are susceptible to various types of noise depending on the data acquisition conditions, with factors such as sensor placement and the physiological and mental states of th

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