246 results match your criteria: "PSG College of Technology[Affiliation]"

Fifth-generation (5G) sensor networks are critical enablers of Industry 4.0, facilitating real-time monitoring and control of industrial processes. However, significant challenges to their deployment in industrial settings remain, such as a lack of support for interoperability and manageability with existing industrial applications and the specialized technical expertise required for the management of private 5G sensor networks.

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  • The paper addresses the challenges of designing controllers for Multi-Input Multi-Output (MIMO) industrial processes, emphasizing the need for advanced control strategies due to dynamic interactions and changes.
  • It proposes an Iterative Learning Controller with dead-time compensation, utilizing a new hybrid optimization algorithm for both simulation and real-time testing on the Quadruple Tank System.
  • The results indicate significant improvements in system stability and performance, with the proposed controller reducing overshoot and settling time by nearly 30% faster in Single-Input Single-Output (SISO) contexts and over 14% faster in MIMO settings, supported by predictive modeling using Machine Learning techniques.
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  • A study developed a flexible biopolymer-based antimicrobial wound dressing using chitosan-agarose (CS-AG) and chamomile flower extract (CH), aimed at improving wound healing and combating bacterial infections.
  • The CS-AG bioscaffold exhibits strong physical properties such as high tensile strength and enhanced thermal stability, verified by various scientific methods.
  • The bioscaffold not only demonstrates effective antibacterial activity against harmful bacteria but also supports cell viability, making it a promising option for drug release systems and tissue engineering applications.
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  • Platooning of vehicles enhances roadway efficiency and reduces gas consumption, making it a key strategy for sustainable autonomous driving.
  • The integration of 5G and Multi-access Edge Computing (MEC) improves communication and computational capabilities in platooning, transitioning from earlier DSRC-based methods.
  • The proposed Cascaded Multi-Agent Deep Deterministic Policy Gradient (CMADDPG) framework optimizes performance by effectively managing latency-sensitive tasks and ensures reliable message delivery, demonstrating robust results in experimental evaluations.
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  • Lung cancer is the leading cause of cancer deaths globally, and traditional medicinal herbs are being researched for their anticancer properties, offering potential new treatments.
  • The study utilized network pharmacology and omics approaches to identify 33 bioactive compounds from the herbal plant, revealing 676 potential targets that intersect with lung cancer-related genetic markers.
  • Key compounds like 6-alpha-diol showed strong interaction with important cancer genes, suggesting their potential as effective treatments for lung cancer and providing insights into the mechanisms behind their anticancer effects.
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The emergence of drug resistant Mycobacterium tuberculosis strains increases the burden on the treatment of tuberculosis. In this study, through in-silico transcriptome analysis of drug-treated M. tuberculosis samples, novel drug targets for the treatment of drug resistance in tuberculosis were identified.

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Network pharmacology: an efficient but underutilized approach in oral, head and neck cancer therapy-a review.

Front Pharmacol

July 2024

Department of Oral and Maxillofacial Surgery, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.

The application of network pharmacology (NP) has advanced our understanding of the complex molecular mechanisms underlying diseases, including neck, head, and oral cancers, as well as thyroid carcinoma. This review aimed to explore the therapeutic potential of natural network pharmacology using compounds and traditional Chinese medicines for combating these malignancies. NP serves as a pivotal tool that provides a comprehensive view of the interactions among compounds, genes, and diseases, thereby contributing to the advancement of disease treatment and management.

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Objective And Rationale: This study aimed to develop a highly sensitive and selective single-stranded DNA (ssDNA) aptamer targeting cardiac troponin I (cTnI), a crucial biomarker for acute myocardial infarction (AMI). The objective was to fabricate a novel aptamer electrochemical sensor using a composite material of cobalt-nickel metal-organic framework (CoNi-MOF) on screen-printed carbon electrodes (SPCE), leveraging the composite's large surface area and excellent electrical conductivity alongside the aptamer's high affinity for cTnI.

Methods: The aptamer electrochemical sensor was fabricated using the CoNi-MOF composite on SPCE and characterized its properties.

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  • Prostate cancer is the second most common cancer in men, and this study focuses on identifying miRNA biomarkers that influence gene expression related to the disease.
  • The research involved analyzing data from prostate cancer patients and controls to identify differentially expressed miRNAs, concluding that hsa-mir-133b and hsa-mir-17-5p are significantly linked to prostate cancer prognosis.
  • Moreover, the study reveals a connection between the HAS2 gene and the epidermal growth factor receptor (EGFR) through a protein-protein interaction network, emphasizing the need for further validation of these findings.
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Cardiovascular diseases, particularly coronary artery disease, pose big challenges to human life. Deployment of the stent is a preferable treatment for the above-mentioned disease. However, stents are usually made up of shape memory alloy called Nitinol.

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  • Breast milk is crucial for infant nutrition but can be contaminated by environmental chemicals from the mother's exposure, raising health concerns for infants.
  • Machine learning models, especially support vector machines (SVM), can predict which chemicals are likely to transfer from maternal plasma to breast milk by analyzing a large dataset of known milk-to-plasma concentration (M/P) ratios.
  • While the SVM classifier demonstrated strong predictive accuracy (77.33%) on internal data, regression models for M/P ratios faced challenges, indicating the complexity of predicting chemical transfer and the potential utility of computational toxicology in understanding such environmental impacts.
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  • The research successfully synthesized three new thiazolidinone-carvone-O-alkyl hybrids using a two-step chemical process, followed by structural analysis with NMR and HRMS.
  • The synthesized compounds showed promising antiproliferative activity against various human cancer cell lines, with some having effects comparable to the chemotherapy drug Doxorubicin.
  • Docking studies indicated strong binding of the compounds to critical cancer proteins like p21 and Bcl2, suggesting their potential as novel therapeutic agents in cancer treatment.
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Pioneering superior efficiency in Methylene blue and Rhodamine b dye degradation under solar light irradiation using CeO/CoO/g-CN ternary photocatalysts.

Spectrochim Acta A Mol Biomol Spectrosc

May 2024

Advanced Nanomaterials and Energy Research Laboratory, Department of Energy Science and Technology, Periyar University, Salem 636011, Tamil Nadu, India. Electronic address:

In this research work, we have successfully synthesized the CeO/CoO/g-CN ternary nanocomposite for hydrothermal method for photocatalytic applications. The synthesized nanocomposites were characterized using X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, Field emission scanning electron microscopy (FE-SEM), Transmission electron microscopy TEM, Photoluminescent spectra (PL), X-ray photoelectron spectroscopy (XPS), Brunauer- Emmett-Teller (BET) and Ultraviolet diffuse reflectance spectroscopy (UV-DRS) technique. As per the optical spectroscopic investigations CeO/CoO/g-CN ternary nanocomposite exhibited the high optical absorption range and its band gap is reduced from 2.

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  • The study explores the presence of various types of abstract differential and integrodifferential equations linked to Sobolev equations using impulses and a non-local constraint.
  • It applies semigroup theory, particularly constant formulas, to derive analytical results for these equations.
  • The research also examines outcomes through the Banach fixed point method using fuzzy numbers, detailing different scenarios to clarify the concepts involved.
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Novel MoS-decorated CuO hybrid nanoparticles for enhanced non-enzymatic electrochemical cholesterol detection.

Nanotechnology

February 2024

Department of Electronics and Communication Engineering, PSG College of Technology, Peelamedu, Coimbatore, Tamil Nadu, 641004, India.

Precise identification of cholesterol levels is crucial for the early diagnosis of cardiovascular risk factors. This paper presents a novel approach for cholesterol detection that circumvents the reliance on enzymatic processes. Leveraging the unique properties of advanced materials and electrochemical principles, our non-enzymatic approach demonstrates enhanced sensitivity, specificity, and limit of detection in cholesterol analysis.

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Microscopic urinary particle detection by different YOLOv5 models with evolutionary genetic algorithm based hyperparameter optimization.

Comput Biol Med

February 2024

Department of Biomedical Engineering, PSG College of Technology, Coimbatore, 641004, India. Electronic address:

Article Synopsis
  • The study addresses the challenges of traditional manual urinalysis for kidney disease by introducing an advanced deep learning model using the YOLOv5 architecture, which improves speed and reduces data requirements compared to conventional methods.
  • The model detects six types of urine particles using a dataset of 5,376 microscopic images and employs a genetic algorithm to optimize hyperparameters, resulting in varying performances across the detected categories.
  • Among the YOLOv5 variants tested, YOLOv5l and YOLOv5x delivered the best overall performance, with mean average precision (mAP) values of 85.8% and 85.4%, respectively, while mycete detection achieved the highest mAP of 97
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Dengue virus (DENV) non-structural protein 1 (NS1) is a versatile quasi-protein essential for the multiplication of the virus. This study applied high-throughput virtual screening (HTVS) and molecular dynamics (MD) simulation to detect the potential marine natural compounds against the NS1 of DENV. The structure of the NS1 protein was retrieved from Protein Data Bank with (PDB ID: 4O6B).

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Ethnopharmacological Relevance: Multi-Drug Resistance (MDR), mediated by P-glycoprotein (P-gp) is one of the barriers to successful chemotherapy in colon cancer patients. Annona muricata L. (A.

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Fabrication and characterization of fish gelatin-based magnetic nanocomposite for biomedical applications.

World J Microbiol Biotechnol

December 2023

Department of Biotechnology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India.

Article Synopsis
  • The study focuses on synthesizing fish gelatin-based magnetic nanocomposite (GMNC) using varying concentrations of gelatin, exploring their structural, functional, magnetic properties, and biocompatibility.
  • The GMNC displayed a reduction in crystallite size and produced well-dispersed magnetite nanoparticles with superparamagnetic behavior, particularly at the lowest gelatin concentration.
  • The GMNC demonstrated high biocompatibility and a sustained drug release profile for the chemotherapy drug 5'Fluorouracil, suggesting its potential for advanced drug delivery applications.
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The investigation focuses on determining the effects of canola oil-based cutting fluid with three different volume percentages of boric acid additives over the machining forces and surface roughness while turning hardened AISI 1018 mild steel. Experiments were carried out under Taguchi's design of the experiment concept. The minimum quantity lubrication (MQL) technique was followed to minimize the cutting fluid consumption.

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Probiotics play a critical role in supporting a healthy gut microbiome, which significantly impacts overall health and well-being. While there has been an increase in the availability of probiotic foods in recent years, there may still be limited options and accessibility in certain regions. This study focused on formulating a traditional Indian sweet called laddu enriched with millet and Lactobacillus acidophilus.

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This paper reports the microstructural characteristics and mechanical properties of yttria-stabilized zirconia prepared via fused deposition modelling and slip casting. X-Ray Diffraction peaks indicated that yttria-stabilized zirconia crystallized in tetragonal structure for both slip casted(SC) and fused deposition modelled(FDM) samples. Further, scanning electron microscopy of slip casted sample showcased closely packed structure with fine grains and an average grain size of ∼65 nm whilst fused deposition modelled samples showcased non-homogeneous pores with ∼20 nm grain size.

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A series of new pyrazolopyranopyrimidine derivatives () were synthesized from 5-amino-2,4-dihydro-3-methyl-4-phenylpyrano-[2,3-c]pyrazole-5-carbonitrile by multicomponent reactions (MCR) involving malononitrile, benzaldehyde, and pyrazolone under refluxing ethanol in the presence of piperidine. Compound was then converted to 2-acetylpyrazolopyranopyrimidine ( through a reaction with acetic anhydride. The deprotection of using ammonium hydroxide in ethanol, leads to .

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  • Small-scale industries (SSI) face challenges with workers often being temporary and lacking proper training, leading to unnoticed work hazards like musculoskeletal disorders due to inadequate workplace setups.
  • The study aims to introduce a holistic methodology to identify and reduce awkward postural risks in SSIs, using a case study in the South Indian Pump industry as an example.
  • Results from the ergonomic evaluations show that the new approach significantly improved working conditions by reducing key risk assessment scores without requiring substantial investment.
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  • Microfiber pollution from textiles, particularly from domestic laundry, is a growing concern that researchers are actively studying.
  • Various methods for measuring microfiber release yield inconsistent results, with significant variability in the quantities reported.
  • This study specifically examines microfiber release from knitted polyester fabrics using both counting and weight-based methods, revealing that weight-based estimations indicate a much higher release of microfibers compared to counting methods, suggesting the need for further research to refine these quantification techniques.
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