117 results match your criteria: "(Affiliated to Visvesvaraya Technological University[Affiliation]"

Newly synthesized 1-bromo-2-(4-bromophenylsulfonate)-4,4-dimethyl-1-cyclohexenyl-6-one (CHD) as a potential anticorrosive agent in an acidic medium at an elevated temperature range of 305-335 K. This synthesized compound confirmed by spectral characterizations and it acts as a coating on mild steel surfaces in 1 M Hydrochloric acid (HCl) solution through electrochemical reactions. The synthesis of the compound has been discussed, and the Infrared (IR) and Nucleic Magnetic Resonance (NMR) spectral analysis confirmed the derivative.

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Carbon quantum dots (CQDs) are a versatile class of carbon-based nanomaterial frameworks that have previously been used as a diagnostic device, in sensing for environmental applications, in bioimaging, and for drug delivery systems. Their versatility stems from their ability to be chemically tailored functionalization to optimize properties for specific applications. In this study, we have synthesized lactic acid-derived nitrogen doped carbon quantum dots (LAdN-CQDs) and examined their ability to intervene in the conversion of soluble, monomeric hen egg-white lysozyme (HEWL) into mature fibrils.

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Machine learning based intrusion detection framework for detecting security attacks in internet of things.

Sci Rep

December 2024

Department of Information Systems, College of Computer and Information Science, King Saud University, 11543, Riyadh, Saudi Arabia.

Article Synopsis
  • The Internet of Things (IoT) is a network of interconnected devices that communicate and share data, raising security concerns that require advanced protection methods like deep learning Intrusion Detection Systems (IDS).
  • Traditional deep learning IDS often struggle with accurate attack classification and long computational times, prompting the development of a new approach using the Self-Attention Progressive Generative Adversarial Network (SAPGAN) to enhance security in IoT networks.
  • The proposed framework involves data gathering, pre-processing to handle missing values, feature selection through a modified War Strategy Optimization Algorithm, and categorizing intruders as either Anomaly or Normal, demonstrating improved accuracy and efficiency over standard models.
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Y-box-binding protein 1 (YBX1) is a multifunctional oncoprotein with its nuclear localization contributing to chemo-resistance in breast cancer. Through its interactions with various proteins and lncRNAs, YBX1 promotes cancer cell migration, invasion, and metastasis. Despite its significant role in cancer progression, studies on YBX1's protein-protein interactions (PPIs) remain limited.

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A non-Newtonian liquid motion across a stretchable surface is relevant to various industrial applications, including extruding plastic sheets and stretching plastic films. In connection with this, the impact of endothermic and exothermic chemical reactions on the flow of rate-type liquid via an oscillatory stretching sheet in the presence of permeable media with the Maxwell liquid model is elucidated in the present study. Scientists and engineers may enhance the efficiency of chemical reactions or heat transmission by optimising system flow and investigating the effect of reactions on flow dynamics.

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Article Synopsis
  • Reducing contaminants in wastewater is crucial for improving water quality in both industrialized and developing nations, leading to a focus on algae-based microbial reactors for treatment.
  • Algae-based membrane bioreactors (MBRs) merge the benefits of traditional MBRs with algae, but prior studies have overlooked the details of their performance and the specific types of wastewater being treated.
  • The study aims to evaluate the effectiveness of algae in treating wastewater, compare it to other techniques, and analyze the technical challenges faced when implementing algae-based systems for removing emerging contaminants.
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Starch-based bio-membrane for water purification, biomedical waste, and environmental remediation.

Int J Biol Macromol

December 2024

Gomal Center of Biochemistry and Biotechnology, Gomal University, D.I.Khan 29050, Pakistan. Electronic address:

This review article explores the utilization of starch-based materials as smart materials for the removal of dyes and heavy metals from wastewater, highlighting their cost-effectiveness, biodegradability, and biocompatibility. It addresses the critical need for clean water, emphasizing the contamination caused by industrial activities, such as printing, textile, cosmetic, and leather tanning industries. Starch and its derivatives demonstrate significant potential in water purification technology, effectively removing toxicants through hydrogen bonding, electrostatic interactions, and complexation.

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Exploring the therapeutic potential of Pongamia pinnata plant extract against skin cancer: In-silico and in-vitro study.

J Ethnopharmacol

January 2025

Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud Bin Abdulaziz University for Health Sciences, P.O. Box, 9515, Jeddah, 21423, Saudi Arabia; Department of Biomedical Research, King Abdullah International Medical Research Center, P.O. Box 9515, Jeddah, 21423, Saudi Arabia.

Ethnopharmacological Relevance: Pongamia pinnata Linn belonging to the Fabaceae family, holds significance as a crucial remedy in herbal medicine.

Aim Of The Study: The present study aims to determine the anticancer and antioxidant properties of the plant extract.

Material And Methods: The methodology includes extraction of the leaf sample by soxhlet method followed by the phytochemical analysis of leaf extract.

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With growing interest in natural compounds as alternative mosquito repellents, assessing the toxicity and structure of potential repellent naturals like thymol (monoterpene phenol) and geraniol (monoterpene alcohol) is vital for understanding their stability and human impact. This study aimed to determine the structural, toxicity, and binding profiles of thymol and geraniol using computational predictions, xTB metadynamics, quantum mechanics, and principal component analysis. Toxicity studies using Protox-II, T.

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Coronavirus has long been considered a global epidemic. It caused the deaths of nearly 7.01 million individuals and caused an economic downturn.

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Poly(3,4-ethylenedioxythiophene) (PEDOT) and PEDOT-functionalized carbon nanoparticles (f-CNPs) were synthesized by in situ chemical oxidative polymerization and pyrolysis methods. f-CNP-PEDOT nanocomposites were prepared by varying the concentration of PEDOT from 1 to 20% by weight (i.e.

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A comprehensive examination of Aedes aegypti's proteome to detect key proteins that can be targeted with small molecules can disrupt blood feeding and disease transmission. However, research currently only focuses on finding repellent-like compounds, limiting studies on identifying unexplored proteins in its proteome. High-throughput analysis generates vast amounts of data, raising concerns about accessibility and usability.

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Alzheimer's disease (AD) poses a significant global health challenge, necessitating the exploration of novel therapeutic strategies. Fyn Tyrosine Kinase has emerged as a key player in AD pathogenesis, making it an attractive target for drug development. This study focuses on investigating the potential of Papaveroline as a drug candidate for AD by targeting Fyn Tyrosine Kinase.

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Industrial dye degradation involves several processes by which dyes are broken down, ideally into innocuous products. Methylene blue (MB) is one of the most commonly employed dyes in the textile industry and is released into water in routine industry processes. These discharges lead to creating a nocuous nature for humans and animals.

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Article Synopsis
  • A study has been conducted to identify new drug targets to combat a highly lethal pathogen causing tuberculosis, focusing on essential proteins like biotin synthase and alpha-(1->6)-mannopyranosyltransferase A involved in specific biosynthesis pathways.
  • Researchers used bioinformatics tools to model proteins without native structures and explored interactions with natural compounds derived from selected mushrooms.
  • Out of 15 identified bioactive compounds, four were chosen for further analysis, with Benz[e]azulene showing promising binding affinity to a specific target, indicating the potential of mushroom extracts in developing new TB treatments.
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Graphene-based nanomaterials (graphene, graphene oxide, reduced graphene oxide, graphene quantum dots, graphene-based nanocomposites, etc.) are emerging as an extremely important class of nanomaterials primarily because of their unique and advantageous physical, chemical, biological, and optoelectronic aspects. These features have resulted in uses across diverse areas of scientific research.

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Existing security issues like keys, pins, and passwords employed presently in almost all the fields that have certain limitations like passwords and pins can be easily forgotten; keys can be lost. To overcome such security issues, new biometric features have shown outstanding improvements in authentication systems as a result of significant developments in biological digital signal processing. Currently, the multimodal authentications have gained huge attention in biometric systems which can be either behavioural or physiological.

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One of the technological fields that is developing the fastest is quantum computing in biology. One of the main problems is protein folding, which calls for precise, effective algorithms with fast computing times. Mapping the least energy conformation state of proteins with disordered areas requires enormous computing resources.

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The soluble-to-toxic transformation of intrinsically disordered amyloidogenic proteins such as amyloid beta (Aβ), α-synuclein, mutant Huntingtin Protein (mHTT) and islet amyloid polypeptide (IAPP) among others are associated with disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD) and Type 2 Diabetes (T2D), respectively. The dissolution of mature fibrils and toxic amyloidogenic intermediates, including oligomers, continues to be the pinnacle in the treatment of neurodegenerative disorders. Yet, methods to effectively and quantitatively report on the interconversion between amyloid monomers, oligomers and mature fibrils fall short.

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Liver cancer is the sixth most common cancer and the fourth leading cause of death worldwide. Hepatocellular carcinoma (HCC) comprises 75-80% of liver cancer cases. Therapeutic strategies for HCC are available and have been shown to prolong survival but not treat HCC.

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This study presents an in-depth investigation into the wear characteristics of ultrahigh-molecular-weight polyethylene (UHMWPE) composites reinforced with microsized MoS and nanosized graphite particles. The objective is to enhance the wear resistance of the UHMWPE by examining the effects of various parameters and optimizing the wear performance. To achieve this goal, wet wear tests were conducted under controlled conditions, and the results were compared between composites with micro MoS and nano graphite reinforcements.

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The soluble-to-toxic transformation of intrinsically disordered amyloidogenic proteins such as amyloid beta (Aβ), α-synuclein, mutant Huntingtin Protein (mHTT) and islet amyloid polypeptide (IAPP) among others is associated with disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD) and Type 2 Diabetes (T2D), respectively. The dissolution of mature fibrils and toxic amyloidogenic intermediates including oligomers continues to be the pinnacle in the treatment of neurodegenerative disorders. Yet, methods to effectively, and quantitatively, report on the interconversion between amyloid monomers, oligomers and mature fibrils fall short.

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Relations between ordinary energy and energy of a self-loop graph.

Heliyon

March 2024

Department of Computer and Information Sciences, Northumbria University, Newcastle NE1 8ST, UK.

Let be a graph on vertices with vertex set and let with . Denote by , the graph obtained from by adding a self-loop at each of the vertices in . In this note, we first give an upper bound and a lower bound for the energy of () in terms of ordinary energy (), order () and number of self-loops ().

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Context: Amyloid fibrils are self-assembled fibrous protein aggregates that are associated with several presently incurable diseases such as Alzheimer's. disease that is characterized by the accumulation of amyloid fibrils in the brain, which leads to the formation of plaques and the death of brain cells. Disaggregation of amyloid fibrils is considered a promising approach to cure Alzheimer's disease.

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In this work, pebbles of higher specific heat than the conventional absorber materials like aluminium or copper are proposed as a absorber in the solar flat plate collector. The proposed collector are integrated into the building design and constructed with masonry. Tests were conducted by varying the operating parameters which influence its performance, like the flow rate of the heat-absorbing medium, and the tilt of the collector using both coated and uncoated pebbles.

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