Barriers to Research Faced by High-Income Versus Low- and Middle-Income Country Otolaryngologists and Otolaryngology Residents.

Objective: This study aims to compare research productivity and barriers to research between high-income countries (HICs) and low- and middle-income countries (LMICs) otolaryngologists.

Study Design: Cross-sectional survey.

Setting: International survey.

Etiological and histomorphological studies on early chick mortality in broiler chicken in Kashmir, India.

Background: Early chick mortality (ECM) is one of the most important problems of the poultry industry that causes severe economic losses to the farmers. The chick mortality varies in different geographical locations and its etiological factor also varies.

Aim: The aim of the present work was to isolate and identify various etiological agents responsible for causing ECM in broilers, and study the overall occurrence and pathology of various disease conditions responsible for causing ECM in broilers.

Persistent Post-dural Puncture Headaches One Year After Lumbar Puncture: A Case Report.

Post-dural puncture headaches usually occur when the cerebrospinal fluid (CSF) leaks due to trauma to the dura mater. This often results in spontaneous intracranial hypotension characterized by orthostatic headaches, neck stiffness, and nausea. In this case report, we discuss a 20-year-old male patient who developed symptoms of intracranial hypotension one year following a lumbar puncture.

Biomimetic Plant-Root-Inspired Robotic Sensor System.

There are many examples in nature in which the ability to detect is combined with decision-making, such as the basic survival instinct of plants and animals to search for food. We can technically translate this innate function via the use of robotics with integrated sensors and artificial intelligence. However, the integration of sensing capabilities into robotics has traditionally been neglected due to the significant associated technical challenges.

Transforming Cancer Classification: The Role of Advanced Gene Selection.

Accurate classification in cancer research is vital for devising effective treatment strategies. Precise cancer classification depends significantly on selecting the most informative genes from high-dimensional datasets, a task made complex by the extensive data involved. This study introduces the Two-stage MI-PSA Gene Selection algorithm, a novel approach designed to enhance cancer classification accuracy through robust gene selection methods.