Integrating Wi-Fi, Li-Fi, and BPL Technologies for a Secure Indoor Communication System.

In today's digital age, there is an increasing demand for integrated wireless and wired technologies; however, there is a difficulty in achieving secure and reliable communications within buildings and facilities. This paper presents a proposal for maintaining the infrastructure while expanding it to implement communication technologies with high transmission and reception speeds and high levels of data confidentiality to enhance the operational efficiency of organizations. Three main technologies have emerged as promising solutions for this purpose: Wi-Fi, Li-Fi, and BPL.

Using Virtual Reality Pablo Gaming in the Post-Operative Rehabilitation of Breast Cancer Patients: Randomized Controlled Trial.

Surgical treatment of breast cancer may lead to physical and psychological side effects. Exercises, especially those aided by virtual reality (VR), can improve both physical and psychological dysfunctions. To explore the effects of exercises using VR through Pablo games Technology on the function, grip strength, wrist ROM, fatigue, pain, activities of daily living (ADLs), and anxiety among post-operative breast cancer females.

Evaluation of Hair Growth Promoting Activity of Standardized Soybean Extract on Testosterone-Induced Alopecia.

Millions of men and women suffer from alopecia, especially androgenic alopecia (AGA), which is considered the most common form of hair loss. The available treatments for hair loss include multiple approaches, with the most popular being synthetic drugs including minoxidil and finasteride, in addition to natural products. However, synthetic drugs have shown many undesirable side effects, on the contrary, the specifications of the commonly used natural drugs have not been reported in most of the previous studies, despite the high market preference for them.

Color Fundus Photography and Deep Learning Applications in Alzheimer Disease.

Objective: To report the development and performance of 2 distinct deep learning models trained exclusively on retinal color fundus photographs to classify Alzheimer disease (AD).

Patients And Methods: Two independent datasets (UK Biobank and our tertiary academic institution) of good-quality retinal photographs derived from patients with AD and controls were used to build 2 deep learning models, between April 1, 2021, and January 30, 2024. ADVAS is a U-Net-based architecture that uses retinal vessel segmentation.