Effect of one prophylactic dose of Azithromycin on Bifidobacterium infantis colonization in infants from the Mumta Trial.

Objectives: The effects of antibiotics on the microbiome remain incompletely understood. Azithromycin (AZ) has been shown to improve child survival and infant growth outcomes. This study aimed to assess the impact of AZ on B.

Impact of 3D Endovision System on Learning Process of Laparoscopic Transabdominal Preperitoneal Repair of Groin Hernia.

Laparo-endoscopic hernia surgery is recommended by various international bodies. However, its uptake by general surgeon is low. We aim to assess the impact of Three Dimensional (3D) endovision system in learning laparoscopic transabdominal preperitoneal (TAPP) repair of groin hernia and transferability of skills acquired from 3D to the Two Dimensional (2D) environment.

Cough-hypersensitivity Syndrome-A New Paradigm in the Evaluation of Chronic Refractory Cough and Its Novel Therapeutic Horizons-A Review.

Chronic cough is defined as a persistent cough, lasting beyond 8 weeks, poses a global health challenge, impacting a substantial portion of the world's population. In the United States, it stands as a prominent cause for numerous visits to primary care and pulmonology clinics, imposing a significant healthcare burden and utilizing valuable resources. While chronic cough can be indicative of serious underlying lung conditions, once serious pulmonary diseases are excluded, the leading culprits are often identified as gastroesophageal reflux, upper airway cough syndrome, and eosinophilic airway inflammation.

Robust fault detection and classification in power transmission lines via ensemble machine learning models.

Transmission lines are vital for delivering electricity over long distances, yet they face reliability challenges due to faults that can disrupt power supply and pose safety risks. This research introduces a novel approach for fault detection and classification by analyzing voltage and current patterns across transmission line phases. Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms-including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks-are evaluated.

The Causal Effects of Lifestyle Factors on Osteoarthritis: A Two-sample Mendelian Randomisation Study.

Background: Modern sedentary lifestyles are prevalent among individuals with osteoarthritis. However, direct evidence linking such behaviours as causative factors of osteoarthritis remain limited due to the presence of confounding variables.

Objective: This study aims to determine the extent to which lifestyle factors have causal effects on osteoarthritis through a two-sample Mendelian randomisation (MR) study.