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Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells
Intrusion detection system is used to monitor the system and network activities to identify anomalies and attacks so that integrity, availability, and confidentiality can be preserved. Here an intrusion detection system based on Artificial Immune System is proposed based on Natural Killer (NK) cells with immunological memory. NK cells are created and each NK cells detection radius is determined using the negative selection algorithm and is trained to detect various attacks. Effective cells with high fairness values are proliferated and distributed to the network using clonal selection algorithm. In this paper, two types of NK cell are used-a Heavyweight NK cell (HWNK) and a number of Lightweight NK cells (LWNK). The incoming data is vectorized and Major Histocompatibility Complex Class I (MHC1) is created. Then based on this MHC1, any of the receptors i.e. Activating Receptor or Inhibiting Receptor is activated. If it is the signature of an attack, Activating Receptor is activated. Activating receptor activation results in either cytokine release or apoptosis. Here cytokine release means an alarm is generated informing the administrator and apoptosis stands for dropping of the packet. If Inhibiting Receptor is activated, it's a normal packet there is no action taken. The technique proposed yields high accuracy, better detection rate and quick response time. 2020 River Publishers. All Rights Reserved. -
A generic cyber immune framework for anomaly detection using artificial immune systems
Intrusion detection systems play a significant role in computer security. Artificial immune systems are the prime contender in developing an anomaly-based intrusion detection system due to their simplicity. The fundamental goal of this paper is to create a generic framework for an artificial immune system which is fast and accurate in detecting anomalies using artificial immune system concepts. Natural killer cells in the immune system and their quick response to foreign pathogens inspired the adaptation of those cells into an artificial immune system based framework. A natural killer cell-based framework is proposed to improve the accuracy and speed of anomaly detection. The structure of the proposed framework includes major histocompatibility complex class 1 representation, affinity calculation, cell generation, and cell proliferation. This framework addresses the overlapping and hole problem while creating natural killer cells to increase the system's performance. The negative selection algorithm and the positive selection algorithm generate the cells that enhance the anomaly detection technique and give high precision. The parameter response time introduced in this paper is crucial for an intrusion system to be used in real-time. 2022 Elsevier B.V. -
Representation of Cancer in the Digital Space
[No abstract available] -
Platt number of total graphs
The degree of an edge uv is defined as the number of edges incident on vertices u and v other than itself. The Platt number of a graph is the sum of degrees of all its edges. In this paper, the concept of degree of an edge is analysed in social networks. The Platt number is investigated in certain classes of graphs and their total graphs. Also related bounds are proposed on connected graphs. An algorithm developed to determine the Platt number of any connected graph is presented. 2018 Academic Publications. -
GASP. XV. A MUSE view of extreme ram-pressure stripping along the line of sight: Physical properties of the jellyfish galaxy JO201
We present a study of the physical properties of JO201, a unique disc galaxy with extended tails undergoing extreme ram-pressure stripping (RPS) as it moves through the massive cluster Abell 85 at supersonic speeds mostly along the line of sight. JO201 was observed with multi-unit spectroscopic explorer as part of the GASP programme. In a previous paper (GASP II) we studied the stellar and gas kinematics. In this paper we present emission-line ratios, gas-phase metallicities, and ages of the stellar populations across the galaxy disc and tails. We find that while the emission at the core of the galaxy is dominated by an active galactic nucleus (AGN), the disc is composed of star-forming knots surrounded by excited diffuse gas. The collection of star-forming knots presents a metallicity gradient steadily decreasing from the centre of the galaxy outwards, and the ages of the stars across the galaxy show that the tails formed ? 109 yr ago. This result is consistent with an estimate of the stripping time-scale (?1 Gyr), obtained from a toy orbital model. Overall, our results independently and consistently support a scenario in which a recent or ongoing event of intense RPS acting from the outer disc inwards, causes removal and compression of gas, thus altering the AGN and star formation activity within and around the galaxy. 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. -
Prevalence and Predictors of Restless Leg Syndrome in Adolescents and Young Adults of Bengaluru City, India: A Cross-Sectional Study
INTRODUCTION: Restless leg syndrome (RLS) is a sensorimotor disease characterized by an urge to move the legs, often caused by uncomfortable and unpleasant sensations in the legs. It affects the quality of sleep which in turn affects scholastic performance in children and predisposes them to cardiovascular diseases in the long run. Hence, the primary aim of this study was to assess the prevalence and predictors of RLS, poor sleep quality, and excessive daytime sleepiness (EDS). METHODS: This was a cross-sectional observational study conducted between September 2017 and March 2020 in Bengaluru, India, including all consenting PreUniversity College, Degree College, and Higher Secondary school students. After parental consent and assent (if applicable) was obtained, a semi-structured standardized pilot-tested questionnaire consisting of the RLS diagnostic criteria, Pittsburgh Sleep Quality Index (PSQI), Epworth sleepiness scale, and questions on sleep hygiene was administered. The prevalence was expressed as proportions and 95% confidence intervals (95% CI). Regression analysis was done to determine the predictors. RESULTS: The overall prevalence (95% CI; frequency) of students with RLS, poor sleep quality, and EDS in our study population was 8.36% (7.54, 9.24; n = 1,544/4,211), 36.67% (35.21, 38.14; n = 1,544/4,211), and 39.87% (38.39, 41.37; n = 1,679/4,211), respectively. PSQI and Epworth score were the significant predictors of RLS. Age, Epworth score, knowledge score, and the number of unacceptable sleep habits were the significant predictors of sleep quality. Female gender, PSQI, RLS, knowledge score, and the number of unacceptable sleep habits were the significant predictors of EDS. CONCLUSIONS: The prevalence of RLS, those with poor sleep quality and EDS among adolescents and young adults was higher when compared to the historical data of general population in the same city. 2022 S. Karger AG, Basel. -
Improved File Security System Using Multiple Image Steganography
Steganography is the process of hiding a secret message within an ordinary message extracting it at its destination. Image steganography is one of the most common and secure forms of steganography available today. Traditional steganography techniques use a single cover image to embed the secret data which has few security shortcomings. Therefore, batch steganography has been adopted which stores data on multiple images. In this paper, a novel approach is proposed for slicing the secret data and storing it on multiple cover images. In addition, retrieval of this secret data from the cover images on the destination side has also been discussed. The data slicing ensures secure transmission of the vital data making it merely impossible for the intruder to decrypt the data without the encrypting details. 2019 IEEE. -
Framework for proactive visualization of text based narrative using NLP
Language is an essential mode, not only for human communicationbut also for thinking. A story is conveyed or a report of an incident is being told, humans perceive the conveyed information in the form of visual insights. The increasing advancements in the field of artificial intelligence can help with the same in machines. This paper reflects on the internalization of stories from a cognitive perspective and outlines a scalable framework for supporting the visualization of narrative text data. This paper leverages natural language processing (NLP), probabilistic modelling of discourse knowledge, information extraction of narrative components (who, where, when, what) and the narrative visualization. The graphics knowledge base storage structure has been redesigned to obviate the necessity of having a larger database for all graphics entity. With the developed framework, any user can input unrestricted natural language for the dynamic generation of animated scenes. This provides users with direct visual output in response to their natural language input. This tool can potentially impact the way humans interact with computers and expand a completely new way of understanding conversations. 2020 IJSTR. -
Parametric investigation on the tool wear while performing face milling on inconel 718 using round insert
Machining of Inconel 718 has become a material of great purpose in the machining industry. Since Inconel is considered to be a super alloy which possess high material property such as high thermal fatigue, high strength and high resistance to corrosion it is thus considered to be a material which is hard to machine. This paper gives an overview on the tool wear that takes place while machining. Machining was carried out in a CNC milling machine with the help of a tungsten carbide circular insert. The cutting parameters taken into consideration were cutting speed, feed rate and depth of cut. Tool wear was analysed with the help of tool makers microscope. Statistical analysis was done on the MINITAB 18 software by using regression analysis. The regression analysis was carried out by using Response Surface Methodology (RSM) the mathematical model for each individual response has been developed from regression equations considering analysis of cutting parameters as independent variables which was found to be significantly accurate. BEIESP. -
Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection
INTRODUCTION: Diabetic retinopathy (DR) is one of the consequences of diabetes which if untreated may lead to loss of vision. Generally, for DR detection, retinal images are obtained using a traditional fundus camera. A recent trend in the acquisition of eye fundus images is the usage of smartphones to acquire images. OBJECTIVES: This paper focuses on the study of existing works which incorporated smartphones for obtaining fundus images and various devices available in the market. Also, the common datasets used for carrying out DR detection using smartphone-based fundus images as well as the classification models used for the diagnosis of DR are explored. METHODS: A search of information was carried out on articles based on DR detection from fundus images published in the state-of-the-art literatures. RESULTS: Majority of the works uses SBFI devices like 20D lens, EyeExaminer etc. to obtain fundus image. The common databases used for the study are EyePACS, Messidor, etc. and the classification models mostly rely on deep learning frameworks. CONCLUSION: The use of smartphones for capturing fundus images for DR detection are explored. Smartphone devices, datasets used for the study and currently available classification models for SBFI based DR detection are discussed in detail. This paper portrays various approaches currently being employed in SBFI based DR detection. 2023 A. Benjamin et al. -
The neuropsychology of leadership
In today's rapidly evolving workplace, understanding leadership and management from cognitive, affective, and social neuroscience perspectives contributes greatly to organizational success. This proposed chapter will delve into the specific relevance of the neuropsychology of leadership, highlighting executive control, decision-making, problem-solving, inhibitory control, emotional regulation, and stress management as crucial components of effective leadership. The chapter will also highlight the importance of cognitive profiling, mental health assessments, neuroplasticity, cognitive enhancement, and neurofeedback in the context of leadership and management. This proposed chapter aims to provide a comprehensive overview of the interplay between neuropsychology and leadership, emphasizing its potential to enhance individual and collective success in the modern workplace. 2024 by IGI Global. All rights reserved. -
Metal organic frameworks in biomedicine: Innovations in drug delivery
Metal-organic frameworks (MOFs) have emerged as a class of versatile materials, finding extensive applications in drug delivery because of their unique properties and flexible design. This comprehensive review aims to give a broad perspective on the recent advancements in the area of drug delivery applications using MOFs. The fundamental characteristics of MOFs, highlighting their exceptional porosity, high surface area, and tuneable framework structures, enable MOFs to serve as ideal drug carriers, allowing efficient drug loading and controlled release. The review delves into the various ligands and metal ions employed for drug encapsulation. These include physical encapsulation, covalent bonding, and host-guest interactions, each offering distinct advantages for diverse types of drugs and therapeutic applications. The importance of tailoring MOF properties to optimize drug loading capacity, stability, and release kinetics has been emphasized. Additionally, the explorations involve delving into the mechanisms of drug release from MOFs, with factors such as pH, temperature, and external stimuli that can be harnessed to trigger controlled drug release. The utilization of MOFs in combination therapies, such as co-delivery of multiple drugs or integrating imaging agents, has also been examined. Numerous examples of MOFs used for drug delivery, encompassing both in-vitro and in-vivo studies, covering a wide range of therapeutic areas, including cancer treatment, antimicrobial therapy, and targeted drug delivery, are included. Additionally, the review addresses the challenges and future perspectives in the development of MOFs for drug delivery. Strategies to improve MOF stability, biocompatibility, and scalability are discussed, along with the understanding of MOF-drug interaction and potential toxicity concerns. With their tuneable properties, high loading capacities, and controlled release capabilities, MOFs hold exceptional capabilities that promise to enhance the efficacy of therapeutic interventions. Continued research and development in this area can pave way for the translation of MOFs into clinical applications in the near future. 2024 The Author(s) -
Role of Memoirs in Reducing the Stigma of Mental Illness in India
How reading about mental illness in the form of memoirs encourages us to reimagine our understanding and get past the popular stigmatised depictions of mental illness in India is explored in this article. This information can come to the aid of medical enthusiasts, psychologists, psychoanalysts, and even educators in considering the subjective dimensions of the experience of mental illness apart from the results of scientifi c inquiry and reducing the stigma of mental illness in India. 2023 Economic and Political Weekly. All rights reserved. -
Economic Analysis, Environmental Impact, Future Prospects and Mechanistic Understandings of Nanosensors and Nanocatalysis
It is crucial to understand the economic importance of sensors and catalysis. Economy always plays a major role in the field of nanotechnology. The ever-growing industrial revolution raises many concerns to understand the phenomena and to develop inexpensive devices for sensing applications. However, manufacturing such devices have caused a severe impact on environment. Thus, it is a requirement to understand the mechanistic aspects and also future prospects of nanosensors and catalysis to achieve sustainable technologies for the future. 2023 selection and editorial matter, Anitha Varghese and Gurumurthy Hegde; individual chapters, the contributors. -
Laccase mediated electrosynthesis of heliotropin on mango-kernel derived carbon nanosphere composite: A sustainable approach
Facile fabrication of enzyme immobilized carbon nanospheres (CNS) based catalysts with high electrical conductivity and catalytic efficiency are of decisive importance for their electrocatalysis. A novel, green and highly efficient synthesis route for the development of an electrode surface with enhanced electrical conductivity and better catalytic activity for the electrochemical synthesis of heliotropin. The obtained biowaste (mango seed kernels) was pyrolyzed and subjected to acid treatment to form functionalized CNS (f-CNS). The functionalized carbon fiber paper (CFP) electrode was employed as a template for laccase immobilization which was further treated with free laccase resulting in the formation of Lac-fCNS/CFP electrode. The developed electrode exhibited excellent electrooxidation of piperonyl alcohol in the presence of 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO), which served as the mediator. A high yield (78%) of heliotropin was achieved during the electrooxidation at 0.78 V via bulk electrolysis. The obtained product (heliotropin aka piperonal) was confirmed via 1H NMR and 13C NMR. Additionally, computational molecular docking analysis of f-CNS:laccase composite showed strong binding affinity (?6.2 kcal/mol) with TEMPO in comparison with free laccase (?5.1 kcal/mol). The excellent selectivity and efficiency of the developed electrocatalyst aim to surpass all other reported laccase-TEMPO mediated based electrocatalytic oxidation reactions. 2022 Vietnam National University, Hanoi -
A novel laccase-based biocatalyst for selective electro-oxidation of 2-thiophene methanol
An effective biocatalyst was fabricated for TEMPO-mediated electrooxidation of 2-thiophene methanol. Laccase obtained from Trametes versicolor was covalently immobilized onto electrochemically polymerized ortho-amino benzoic acid (PABA) layer on carbon fiber paper (CFP) electrode. The composite material was characterized by Fourier transformed infrared (FTIR) spectroscopy, X-ray photoelectron spectroscopy (XPS), Optical profilometry (OP), and scanning electron microscopy (SEM). Electrochemical parameters were studied using cyclic voltammetry (CV). Moreover, the developed biocatalyst (Lac-PABA/CFP) was used for selective conversion of 2-thiophene methanol to 2-thiophene carboxaldehyde using 2,2,6,6-Tetramethyl-1-piperidinyloxy, free radical (TEMPO) as a mediator. The formation of the product was confirmed via FTIR, GCMS, 1HNMR and 13CNMR. The enzyme activity of free and immobilized laccase was studied using 2, 2?-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) substrate at optimal conditions. Computational In silico analysis also suggested the presence of active sites (T2/T3 trimeric sites-copper ions) in laccase (PDB id: 1KYA's) interacting amino acid residues with the TEMPO and 2-thiophene methanol. Additionally, molecular dynamics simulations revealed that 2-thiophene methanol as compared to TEMPO is more stable (better RMSD, RMSF) in interacting with laccase specifically having strong interaction residues at Asp206, Glu242, Gly262, Gln293, and Glu302. Furthermore, the proposed strategy was confirmed by assessing the various interactions using computational tools. This work would be highly beneficial to develop an electrocatalyst for effective synthesis of 2-thiophene carboxaldehyde, a common intermediate in pharmaceutical, agrochemical, dye, fertilizer and chemical industries. 2021 -
Waste elimination to porous carbonaceous materials for the application of electrochemical sensors: Recent developments
World is expected to face a big disaster from waste materials generated as a result of the ever-growing industrialization. Recent developments in the area of biomass-derived materials and valuable products has attracted many into its diverse applications. Biomass-derived porous carbonaceous materials are highly recommended for the development of electrochemical sensors due to their unique features like cost-effectiveness, distinctive structure, sustainability, and regenerative nature. The electrochemical and catalytic activity of the sensor differ based on their surface morphology specifically surface area, pore-volume, and pore size. Various techniques like activation, doping, and dispersion of metal nanoparticles are efficient in enhancing the performance of sensors. Some of the essential or seminal developments in the area of biomass-derived carbonaceous materials for detecting diverse target analytes like pharmaceutical drugs, metal ions, biomolecules, food additives, pollutants, and flavonoids are reviewed. 2020 Elsevier Ltd -
A sustainable non-enzymatic approach for determination of cholesterol using piper nigrum derived porous carbon/?-Fe2O3 composite electrode
Activated porous carbon (APC) obtained from Piper nigrum along with ?-Fe2O3 have been used to modify carbon paste electrode (CPE) for the highly sensitive and selective electrochemical determination of cholesterol. The enhanced synergistic properties observed between the biomass-derived APC and ?-Fe2O3 uplifts the electrocatalytic activity of the modified electrode (APC-Fe2O3/CPE). The prepared ?-Fe2O3 nanoparticles were characterised by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Dynamic light scattering (DLS), zeta potential measurements and Thermogravimetric analysis (TGA). High resolution transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD) and electrochemical techniques were used to study the physico-chemical properties of the modified electrodes. Experimental conditions such as effect of pH, scan rate and concentration of cholesterol were optimized. Wide linear dynamic range between 25 nM and 300 nM, low limit of detection (LOD) and limit of quantification (LOQ) of 8 nM and 26 nM respectively make the method very effective and sensitive. Cholesterol in human blood serum samples was non-enzymatically determined using the developed method. 2021 The Electrochemical Society. -
?-cyclodextrin functionalized graphitic carbon nitride as a promising electrocatalyst for the selective oxidation of Tetrahydrofurfuryl alcohol
Selective electrochemical conversion of Tetrahydrofurfuryl alcohol (THFA) was facilitated employing ??cyclodextrin (??CD) functionalized graphitic carbon nitride (GCN) based nanocomposite. The GCN bulk were obtained by subjecting melamine to pyrolysis and further the material was exfoliated to improve its optoelectronic properties. Non-covalent attachment of ??CD over GCN via ultrasonication creates reactive surface sites on the electrode (??CD/GCN/CFP) facilitating a better host-guest interaction. The cyclic voltammetry and chronoamperometry techniques were employed to investigate the reaction mechanism (qualitative) and kinetics (quantitative) respectively of 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO) mediated electrochemical oxidation of THFA. Further, on subjecting the reaction mixture to bulk electrolysis, the desired product was isolated with yield of 78%. The enhanced efficacy, stability and repeatability of the developed heterogenous catalyst aims to surpass all other conventional synthesis of Tetrahydrofurfural (THFF). 2022 Elsevier Ltd -
Conducting Polymers: A Versatile Material for Biomedical Applications
Conducting polymers (CPs) are organic polymers with metallic conductivity or semiconducting properties which have drawn considerable attention globally. They are versatile materials because of their excellent environmental stability, electrical conductivity, economic importance as well as optical and electronic properties. CPs are interesting because they can be functionalized in several ways and the chemical properties are fine-tuned by incorporating new functionalities, making them more suitable in biomedical and other applications. They act as appropriate mediums of biomolecules and can be employed to improve the speed, stability, and sensitivity of various biomedical devices. They can transit between conducting and semiconducting states and have the ability to change mechanical properties by regulated doping, chemical modifications, etc. In this paper, we review the potential biomedical uses of conducting polymers such as smart textiles, bioactuators, hydrogels, and the use of CPs in neural prosthetic devices. 2022 Wiley-VCH GmbH.