Anti-Dyslipidemic Potential of Sulfated Glycosaminoglycan from Rock Oyster Saccostrea cucullata: An in vivo study.

The rock oyster, Saccostrea cucullata, native to the Indo-Pacific region, is renowned for its nutritional and therapeutic benefits. A sulfated glycosaminoglycan (SCP-2) with β-(1→3)-GlcNSp and α-(1→4)-GlcAp as recurring units isolated from S. cucullata.

Investigating Emotional Intelligence: A Cross-Sectional Study of Pune's Postgraduate Medical Scholars.

Introduction Emotional intelligence (EI), which encompasses the ability to perceive, understand, and manage emotions, is crucial for effective human interaction. In healthcare, especially in medicine, compassion and empathy are prioritized qualities associated with enhanced patient outcomes, increased patient compliance, and overall improved healthcare experiences. This study focused on postgraduate medical students to assess their EI levels and identify influencing factors.

Assessment of Self-Medication Practices and Knowledge Among Medical Students in Chengalpattu District: A Cross-Sectional Study.

Introduction: The practice of self-medication is wherein individuals initiate the use of medications without consulting a healthcare professional. College life is a period marked by academic, social, and personal changes. Due to their greater freedom and the pressure of academic success, students face various health issues.

Clinical Profile and Outcomes of Pediatric Snakebite Envenomation: A Three-Year Retrospective Study From a Rural Tertiary Care Center in South India.

Background Snakebite envenomation remains a significant public health challenge in tropical countries, particularly affecting the pediatric population. Children are especially vulnerable because of their smaller body mass, outdoor activities, and delayed presentation to healthcare facilities. This study aimed to analyze the clinical profile, demographic patterns, and envenomation characteristics of snakebites in children aged 1-16 years presenting to a tertiary care center.

Sensorless vector-controlled induction motor drives: Boosting performance with Adaptive Neuro-Fuzzy Inference System integrated augmented Model Reference Adaptive System.

The Model Reference Adaptive System (MRAS) is effective for speed control in sensorless Induction Motor (IM) drives, particularly at zero and very low speeds. This study enhances MRAS's resilience and dynamic performance by integrating an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller into sensorless vector-controlled IM drives. The research addresses challenges related to parameter uncertainties, load variations, and external disturbances through the combination of MRAS and ANFIS.