Average BER of RIS-Assisted NOMA System With Quantized Phase Error Under Nakagami-m Fading See

This paper investigates the average bit error rate (BER) of a reconfigurable intelligent surface (RIS)-assisted downlink non-orthogonal multiple access (NOMA) system under Nakagami-m fading. The base station communicates binary phase-shift keying (BPSK) data with the near and far users through an RIS unit enabled with discrete phase shifter elements. The total number of RIS elements is divided into two parts, each supporting an individual user. We use generalized-K and mixture gamma-based app...

Predicting The Role of RNA Binding Proteins Interaction with The mRNAs Transcribed from 15q11.2 BP1-BP2 Microdeletion Region See

The Burnside-Butler susceptibility area, a microdeletion region in 15q11.2 BP1-BP2, is linked to neurodegenerative disorders. The four conserved, non-imprinted protein-coding genes in this region are TUBGCP5, CYFIP1, NIPA1, and NIPA2. This study aims to investigate the interaction of RNA-binding proteins (RBPs) with the mRNAs of four genes in the microdeletion area and their probable function to better understand the pathogenic effects when deleted. In-silico study was done by intersecting th...

Single Nucleotide Polymorphism- A Genetic Mutation Influencing the Structural Configuration and Function of Long Noncoding RNAs See

Background: Recent studies have reported that long noncoding RNAs (lncRNAs) are inevitable for the functioning of cellular transcriptome. They are classified as the regulatory noncoding RNAs spanning throughout the genome. They take part most of the cellular functions through interacting with RNA Binding Proteins (RBPs). As the Genome wide association studies (GWAS) report suggested, most of the single nucleotide polymorphisms (SNPs) reside within the noncoding region of the genome, from wher...

A Discipline-Specific Academic Performance Appraisal of Higher Education Institutions in India See

In the modern world, nations are working hard to create a knowledge-based economy in which the most valuable resources are knowledge, skills, technology, and education, all of which are crucial for improving the quality of human capital formation. Higher education institutions are in a hurry to establish their credentials in numerical games. Numerous rating and accreditation authorities, both domestically and internationally, are in place to evaluate their academic performance. Nevertheless, ...

What Determines University-Industry Collaboration? Evidence from R&D Intensive Firms in India See

The rapid advancements in wireless communication result in demand for low-latency and energy-efficient services. Mobile Edge Computing (MEC) offers a promising solution by providing computational resources closer to end users, thus enhancing user experience and reducing the energy consumption of mobile devices. This paper uses a novel simulation environment to deploy and evaluate the Edge-Intelligent Service Placement Algorithm (EISPA). The parameter setting used in implementation demonstrate...

Performance Evaluation of GSSMM and EISPA in Mobile Edge Computing Environment See

The rapid advancements in wireless communication result in demand for low-latency and energy-efficient services. Mobile Edge Computing (MEC) offers a promising solution by providing computational resources closer to end users, thus enhancing user experience and reducing the energy consumption of mobile devices. This paper uses a novel simulation environment to deploy and evaluate the Edge-Intelligent Service Placement Algorithm (EISPA). The parameter setting used in implementation demonstrate...

Performance Analysis of Multipath TCP Congestion Control Algorithms See

In modern high-speed networks, providing reliable and high-quality Internet services is essential. However, maintaining consistent network performance in dynamic environments with varying scenarios presents significant challenges. To address these, Multipath TCP (Transmission Control Protocol) offers a viable solution by aggregating multiple network paths, resulting in improved bandwidth utilization, higher throughput, and reduced delay. This approach overcomes the limitations of traditional ...

Differential Expression of m6A RNA Modifiers in Gliomas See

Glioblastoma is an aggressive brain tumour with poor prognosis. Recent findings suggest that RNA modifiers could be a determinant of oncogenicity and resistance phenotype. N6-methyladenosine RNA methylation is a dynamic modification enriched in the 3’UTR and determines the RNA fate. Studies have suggested that downregulating writers and erasers of m6A modifiers decreases oncogenicity. The present study will highlight m6A modifiers role in glioma. A total of 29 samples included in the study co...

Integrative Genomics for Advancing Therapies in Renal Cell Carcinoma and Adamantinomatous Craniopharyngioma See

My research focuses on deciphering the parameters involved in Protein-DNA interaction through various scientific endeavors. Initially, the studies aimed at analyzing DNA sequences and identifying potential drug targets for cancer and pathogens, leading to the development of two computational tools - Onco-Regulon, and Pathogen Specific DNA Drug Finder. Subsequently, the research shifted towards exploring the energetic aspects of DNA, highlighting the role of Solvation Energy, Stacking Energy, ...

Cross-Fiber Networking Between Self-Sorted Pyrene and Ferrocene Functionalized GQuadruplex Nanofibers: Gels with Enhanced Mechanical Strength and Self-Healing See

Cells, as intricate supramolecular systems, integrate multiple bio-supramolecules to execute complex biological functions that surpass the capabilities of individual molecules. Despite significant advances in understanding the assembly of individual (supra)molecules, the interplay between distinct (supra)molecular systems in mixtures remains poorly understood. This study demonstrates that pyrene (Py) and ferrocene (Fc) conjugated G-quadruplex fibers undergo selfsorting in mixtures, driven by ...

Enhancing Slaughterhouse Wastewater Treatment Using Natural Biochar: A Cost-Effective and Sustainable Alternative to Activated Charcoal See

Slaughterhouse Waste water (SWW) features a high degree of organic matter which makes it a significant source of environmental pollution. It has high pathogen content and heavy weight metal speciation pollution potential. Our goal is to determine the water quality in Slaughterhouse Waste water (SWW), then assess the amount of pollutants removed using pure natural biochar adsorbent. Biochar was made from four different natural materials including cow dung, cauliflower and pumpkin pulp and seed...

Development of a Hybrid Air Pollutant Adsorbent Using Graphene Oxide, Metal-Organic Frameworks (Fe-BTC), and Agro-Industrial Waste for Enhanced Removal of Air Pollutants See

Air pollution refers to the presence of harmful substances in the air we breathe, and it has become one of the leading global environmental threats to human health, causing serious damage to the environment. Conventional adsorbents are limited by low adsorption capacity, high cost, and non-renewability. The objective of this research is to a new type of hybrid adsorbent consisting of advanced materials like GO and FeBTC functionalized with lower commoditized agro-industrial waste materials in...

Comprehensive Modeling and Design of Low Cost Piezoelectric Based Ultrasound Wireless Power Transfer for Submersible Sensors See

This paper proposes a low-cost ultrasound (US) based wireless power transfer (WPT) link for powering lowpower electronics devices used in underwater conditions. The proposed US-WPT link comprises a pair of low-cost ultrasonic transducers, one as a transmitter (Tx) and the other one as a receiver (Rx), and a low-cost full bridge rectifier circuit using Schottky diodes. The paper extensively discussed the modeling of the ultrasound devices, focusing on the energy harvesting perspective and also...

Deep Learning Based Enhanced Approximate Message Passing for mmWave Massive MIMO Channel Estimation See

This paper presents a new approach to channel estimation in millimeter-wave beamspace massive MIMO systems. The proposed method is an approximate message passing algorithm that utilizes a flexible discriminative denoiser. The denoiser consists of two parts: a noise level map identifier and a convolutional neural network. By learning the channel structure and estimating the noise characteristics, the denoiser enhances the performance of the message passing algorithm. Simulation results demonst...

Full-Wave Coupling Impact on DoA Computation See

This work reports a new technique to include the impact of electromagnetic coupling in computation of the direction of arrival by the linear or rectangular array. Realistic modeling of the transmitter and receiving array have been considered to compute the angles of arrival of a far-field signal. The proposed approach is based on Maxwell’s equations with numerical implementation using the Method of Moment (MoM) technique. Unlike the steering vector based alternate signal estimation algorithms...

SecFit: Secured Hardware Prototype for IoT-based Healthcare Applications See

In this paper, a prototype is developed for securing healthcare gadgets involved in handling sensitive medical data. The plain vanilla Fitbit architecture is chosen as a use case, and hardware security modules are developed for it with the motivation of securing the Fitbit architecture. The purpose of securing a Fitbit architecture is to address the rising concern about its vulnerabilities to side-channel attacks. The hardware security modules developed for the plain vanilla Fitbit architectu...

Design of InGaP//GaAs Thin-film Tandem Solar Cell Architecture for Challenging Environments See

The power conversion efficiency of the single junction solar cell is approaching the theoretical limits, which leads to the development of tandem cells. Among various solar cell materials, compound semiconductors such as GaAs and InGaP are the large band gap materials preferred for multijunction solar cells. Besides the broad-spectrum absorption, GaAs and InGaP possess hightemperature stability, radiation resistance, longer minority carrier lifetime, and higher electron mobilities compared to...

Interval Estimation of Common Scale Parameter of Two Weibull Populations with Unknown and Different Shapes See

The present paper addresses the problem of interval estimation of common scale parameter for two Weibull populations when shape parameters are unknown. The asymptotic confidence intervals, the parametric bootstrap intervals, namely, the bootstrap-p and bootstrap-t are derived. The highest posterior density intervals using the Markov chain Monte Carlo procedure have been derived. Numerical simulation is performed to see the performance of these proposed methods. A real-life example is consider...

Cocos Nucifera's Husk Smoke as A Hypoxia Inducer and Developmental Limiter in Drosophila Melanogaster See

Smoke that includes Particulate matter (PM), Carbon monoxide (CO), Sulfur dioxide (SO2), and nitrogen dioxide (NO2), have a substantial negative impact on human health. PM, which can vary from tiny dust to coarse particles, enters the respiratory system and reduces the amount of oxygen taken in by the lungs, leading to hypoxia. Transcription factors called HIFs stimulate genes that help the cells to adjust to hypoxia. Despite its evolutionary separation from mammals, Drosophila melanogaster r...