Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications.

The increasing reliance on global navigation satellite systems for diverse applications necessitates the development of efficient satellite selection methods to optimize positioning accuracy and system performance. In particular, low-cost global navigation satellite systems receivers face challenges in managing data from multiple visible satellites, often resulting in suboptimal performance due to high geometric dilution of precision values. Effective satellite selection is crucial for improving the accuracy and reliability of positioning solutions in these systems.

Zebra Bodies in the Kidney: Is it a Pathognomonic Finding of Fabry Disease?

Zebra bodies are intralysosomal lamellar inclusion bodies. It is accepted as a specific feature of Fabry disease. However, it has been reported in many hereditary and acquired conditions.

Photothermal conversion and geochemical characterization of sulfur-rich lignite for non-conventional energy applications.

Lignite has emerged as a critical material in contemporary energy portfolios, particularly in electricity generation. However, this work explores lignite's potential beyond conventional uses, exploring on its energy conversion applications. In a pioneering move, lignite samples have been directly utilized as materials for photothermal conversion applications, along with a description of their geochemical features, such as sulfur compositions, forms, and microscopic characteristics.

Compact circularly polarized dual band antenna with modified patch for ISM and V2X communication systems.

This paper introduces a novel design and development of a compact circularly polarized antenna operating at two distinct frequency bands, 2.5 GHz and 6 GHz. The innovation lies in using a modified circular patch and a uniquely designed feeding element, which optimize circular polarization performance while maintaining a low-profile form factor.

Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments.

This investigation presents the development and characterization of an advanced piezoelectric perovskite-based biosensing platform optimized for formalin detection in aqueous media through the implementation of Locally Weighted Linear Regression (LWLR) machine learning algorithms. The sensor architecture operates within the terahertz spectral region and incorporates an advanced nanomaterial composite system comprising black phosphorus, gold nanostructures, graphene, and barium titanate to maximize detection sensitivity and operational performance metrics. The engineered platform integrates a circular graphene metasurfaces configuration with a gold-based H-resonator assembly and concentrically arranged circular ring resonators.

Secure channel estimation model for cognitive radio network physical layer security using two-level shared key authentication.

Physical Layer Security (PLS) in Cognitive Radio Networks (CRN) improves the confidentiality, availability, and integrity of the external communication between the devices/ users. The security models for sensing and beamforming reduce the impact of adversaries such as eavesdroppers in the signal processing layer. To such an extent, this article introduces a Secure Channel Estimation Model (SCEM) using Channel State Information (CSI) and Deep Learning (DL) to improve the PLS.

Graphene metamaterial solar absorber using Al-TiN-Fe for efficient solar thermal energy conversion and optimization using machine learning.

The contributed absorber design in graphene addition with the displacement of three materials for resonator design in Aluminum (Al), the middle substrate position with Titanium nitride (TiN), and the ground layer deposition by Iron (Fe) respectively. For the absorption validation highlight, the best four absorption wavelengths (µm) of 0.29, 0.

Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy.

Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes.

Machine learning optimized efficient graphene-based ultra-broadband solar absorber for solar thermal applications.

We designed an ultra-broadband graphene absorber structure with the applied resonator design based on the Al-AlSb-Cr structure, and a thin effective layer of graphene is inserted. To develop the role of the graphene in solar absorbers, the current structure investigates above 98% for 1500 nm bandwidth and 2800 nm (overall bandwidth) for 93.68%.

A versatile conformal circularly polarized quad-element antenna for X-band applications.

This article presents a flexible four-element antenna for X-band applications. The proposed antenna covers the spectrum ranging from 10.6 to 11.

Geochemical and mineralogical assessment of environmentally sensitive elements in Neyveli lignite deposits, Cauvery Basin, India.

This research work presents an examination of the concentrations and modes of occurrence of environmentally sensitive elements within lignite deposits, located in Neyveli, within the Cauvery Basin of India. Coal is one of the most complex geologically formed materials, consisting of organic and inorganic matter. The inorganic mineral matter including the crystalline minerals, non-crystalline mineraloids, and elements with non-mineral associations.

The Clinicopathological Correlation and Outcome of Glomerulonephritis With Crescent: A Single-Center Study.

Background: There is a lack of standardized treatments for patients with less than 50% crescents observed in their renal biopsies. This study aimed to analyze the crescent percentage, clinicopathological characteristics, and renal prognosis of glomerulonephritis (GN) cases with at least one crescentic lesion.

Materials And Methods: This retrospective cohort study was conducted at the Indira Gandhi Institute of Medical Sciences, Patna, from January 2016 to December 2020.

Genitourinary Fistula: epidemiology, changing trends in etiology and management: A tertiary care institute's perspective.

Introduction: Urogenital fistula is a physically, socially and psychologically devastating condition for the patient. In developed countries, these fistulae are typically related to gynecological surgery, pelvic pathology like malignancy or post radiation therapy. In contrast, classical teaching is that urogenital fistulae in the developing countries like India are usually associated with prolonged labor and obstetric complications.

Clinical Profile and Outcomes of Nephrotic Syndrome With Acute Kidney Injury in Adults: A Prospective Cohort Study.

Background: Nephrotic syndrome (NS) is characterized by various clinicopathological conditions like proteinuria, hypoalbuminemia, and anasarca. Patients with NS are prone to experience associated problems like acute kidney injury (AKI). The present study aimed to investigate the clinical profile and outcomes of NS with AKI in adults.

Characterization of lignite deposits of Barmer Basin, Rajasthan: insights from mineralogical and elemental analysis.

The geochemistry of fly ash produced from the combustion of coal at thermal power plants presents a significant challenge for disposal and environmental impact due to its complex mineralogical and elemental composition. The objective of this study was to investigate the mineralogical and elemental distribution of thirty lignite samples from the Barmer Basin using advanced techniques such as X-ray diffraction (XRD), X-ray fluorescence spectrometry (XRF) and inductively coupled plasma mass spectrometry (ICP-MS). XRD analysis revealed the presence of minerals such as haematite (FeO), nepheline, anhydrite, magnesite, andalusite, spinel and anatase.

RETRACTED ARTICLE: Securing health care data through blockchain enabled collaborative machine learning.

Transferring of data in machine learning from one party to another party is one of the issues that has been in existence since the development of technology. Health care data collection using machine learning techniques can lead to privacy issues which cause disturbances among the parties and reduces the possibility to work with either of the parties. Since centralized way of information transfer between two parties can be limited and risky as they are connected using machine learning, this factor motivated us to use the decentralized way where there is no connection but model transfer between both parties will be in process through a federated way.

An Ultra-Compact 28 GHz Arc-Shaped Millimeter-Wave Antenna for 5G Application.

The 5th generation (5G) network was planned to provide a fast, stable, and future-proof mobile communication network to existing society. This research presents a highly compact arc shape structure antenna resonating at 28 GHz for prospective millimeter-wave purposes in the 5G frequency spectrum. The circular monopole antenna is designed with a radius of 1.

Outcome of COVID-19 in Kidney Transplant Patients from Eastern India: A Single Center Study.

Introduction: COVID-19 in kidney transplant recipients (KTR) had been associated with high incidence of acute kidney injury and higher mortality. Management of these patients is still evolving.

Methods: A retrospective observational study was done that included all KTR aged ≥18 years and ≤65 years who had COVID-19 diagnosis via RTPCR test between 1 June 2020 and 30 May 2021.

Understanding the hydrochemical functioning of glacierized catchments of the Upper Indus Basin in Ladakh, Indian Himalayas.

Recent studies have endorsed that surface water chemical composition in the Himalayas is impacted by climate change-induced accelerated melting of glaciers. Chemical weathering dynamics in the Ladakh region is poorly understood, due to unavailability of in situ dataset. The aim of the present study is to investigate how the two distinct catchments (Lato and Stok) drive the meltwater chemistry of the Indus River and its tributary, in the Western Himalayas.