Physically secure and fog-enabled lightweight authentication scheme for WBAN.

Wireless Body Area Networks (WBANs) are vital for healthcare, fitness monitoring, and remote patient care by means of combining sensors and wearable technologies for data collection and transmission. However, ensuring secure communication in WBANs remains a critical challenge and is generally insecure against the manipulation of data, breaches of privacy, and unauthorized access. Current authentication methods are vulnerable to security risks and have a significant computational burden.

An efficient signature aggregation scheme with antenna hardware implementation for VANETs.

Vehicular ad-hoc networks (VANETs) plays a major role in enhancing road safety and traffic management. However, they suffer from security and scalability issues due to dynamic network conditions. Conventional signature aggregation schemes have high computational and communication cost limiting real-time efficiency.

Stacked hybrid model for load forecasting: integrating transformers, ANN, and fuzzy logic.

Modern energy management systems must include load forecasting in order for utilities to plan and optimize electricity distribution, lower operating costs, and improve grid stability. With the addition of renewable energy sources and the advancement of smart grid technology, energy systems have become increasingly complex, making accurate forecasting increasingly challenging. Conventional techniques, including regression models and ARIMA, frequently perform less well because they are unable to capture the complex multivariate relationships and temporal dependencies present in energy data.

Propositional Inference for IoT Based Dosage Calibration System Using Private Patient-Specific Prescription against Fatal Dosages.

IoT-based insulin pumps are used to deliver precise quantities of insulin to diabetic patients to regulate blood glucose levels. Generally, these levels correspond to the dietary patterns observed at time intervals that vary between patients. However, any misrepresentation in insulin levels may lead to fatal consequences.

Influence of tumor size in the progression of venous tumor thrombus in renal cell carcinoma: A 7-year single-center experience.

Objective: The objective of the study is to describe the perioperative outcomes, disease-specific, and overall survival status in patients diagnosed with renal cell carcinoma with inferior vena cava (IVC) tumor thrombus.

Patients And Methods: We did a retrospective analysis of all patients who underwent radical nephrectomy along with IVC thrombectomy from the year 2013 to 2020. Mayo's classification was used to stratify the level of IVC thrombus.

A Prospective Study on the Efficacy of Cognitive Targeted Transrectal Ultrasound Prostate Biopsy in Diagnosing Clinically Significant Prostate Cancer.

Purpose: We present our study, done to identify the diagnostic yield of cognitive targeted biopsy using mpMRI data, to diagnose clinically significant prostate cancers, in a cohort of biopsy and treatment naive men.

Materials And Methods: This is a prospective, single institutional study, done from September 2018 to March 2020 in 75 biopsy naive men. The patients with 3, 4 and 5 PIRADS scores underwent mpMRI cognitive target biopsy (mpMRI CTB) followed by standard biopsy (SB) in the same setting by two different urologists.

Prospective analysis of laparoscopic versus open radical nephrectomy for renal tumours more than 7 cm.

Aims: To analyse the feasibility of laparoscopic radical nephrectomy (LRN) for renal tumours >7 cm and to compare the operative and oncologic outcomes with open radical nephrectomy (ORN).

Settings And Design: This was a prospective, observational, comparative study.

Subjects And Methods: The study was conducted at a tertiary care super-speciality hospital.