Unusual Presentation of Nasal Myiasis in Immunocompetent Young Individual: Case Report.

Background: Nasal myiasis, an infestation by fly larvae, is a rare condition typically associated with immunocompromised individuals, poor hygiene, and low socioeconomic status. It is commonly seen in tropical regions and is often linked to chronic sinonasal diseases or underlying health conditions. However, cases in healthy individuals without predisposing factors are uncommon, making this case novel and worthy of documentation.

Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season.

Rice is a vital staple crop globally, and accurate estimation of rice area was crucial for effective agricultural management and food security. Synthetic Aperture Radar (SAR) data has emerged as a valuable remote sensing tool for rice area estimation due to its ability to penetrate cloud cover and capture backscattered signals from rice fields. The backscatter signature of rice showed a minimum dB value at agronomic flooding indicating the Start of Season (SoS).

An optimal peer selection for peer-to-peer video content distribution using fuzzy linear programming approach.

The problem of peer selection in peer-to-peer (P2P) video content distribution network is significant to solve since it affects the performance and efficiency of the network widely. In this article, a novel framework is introduced that uses fuzzy linear programming (FLP) to address the inherent uncertainties in peer selection. The primary motivation for the use of FLP lies in its capability to handle the imprecision and vagueness that are characteristic of dynamic P2P environments.

Challenges in Implementing the Competency-Based Medical Education Curriculum in Pharmacology: Impact of Shortened Duration and Reduced Teaching Hours.

Background The Competency-Based Medical Education (CBME) curriculum was introduced by the Medical Council of India in 2019 to enhance the quality of Indian medical graduates (IMGs). Its goal is to produce IMGs who possess the knowledge, skills, attitudes, and values needed to serve as competent community physicians while remaining globally relevant. The curriculum incorporates new elements and refined assessment methods.

Optimizing multimodal scene recognition through relevant feature selection approach for scene classification.

Scene classification plays a vital role in various computer vision applications, but building deep learning models from scratch is a very time-intensive process. Transfer learning is an excellent classification method using the predefined model. In our proposed work, we introduce a novel method of multimodal feature extraction and a feature selection technique to improve the efficiency of transfer learning in scene classification.