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Electrochemical sensor based on PVP coated cobalt ferrite/graphite/PANI nanocomposite for the detection of hydrazine
In this study, we developed a multi-layered electrode as an efficient nanocomposite electrochemical sensor for detecting carcinogenic hydrazine in water. Nano-cobalt ferrite (CoFe2O4) was prepared using poly (vinylpyrrolidone) (PVP), mixed with an optimum quantity of graphite and pasted on a stainless-steel current collector. The nanocomposite was further hybridised by electrodepositing with polyaniline (PANI). The obtained composite was characterized using XRD, FTIR, SEM, and electrochemical techniques. XRD analysis shows the successful formation of composite from individual precursors. According to SEM, wrinkled and layered morphology for graphite and aggregate clusters for cobalt with spike or tubular structure for polyaniline were observed. When subjected to amperometry current, the prepared electrode showed different peaks for different concentrations of hydrazine, such as 1 ?M to 100 ?M. Cyclic voltammetry studies showed an increase in oxidation and reduction peaks. These studies will lead to a new platform for their potential applications in detecting toxic materials in real samples such as water, plastic bottle, water etc., 2023 The Author(s). Published by IOP Publishing Ltd. -
A Revitalising Approach towards Aging: Unveiling the Potential Use of Probiotics for Wellness in Elderly Populations
Probiotics have emerged as a potential alternative for treating various diseases affecting general population. Mounting data suggests that probiotics can be beneficial for older individuals, who often have weakened immune systems and are more susceptible to illnesses. Dysbiosis commonly occurs in elderly individuals, which is implicated as a major reason for various diseases. The effectiveness of probiotics is influenced by the specific strain and the dosage administered. Extensive studies have shown how probiotics affect prevalent issues, such as functional bowel diseases and other gastrointestinal disorders. Probiotics exert their effects by synthesizing different microbial peptides, such as bacteriocins, antibiotics, lipopolysaccharides, short-chain fatty acids, butyric acid, propionic acid and other specific secretory metabolites. The common probiotics that are found to benefit the health of elderly populations include Lactobacillus, Bifidobacterium lactis, Bacillus subtilis, Bifidobacterium longum and Bifidobacterium breve Further research is necessary to delve into the mechanism of action for both existing and novel probiotic strains for use in combating or aiding in diseases. Genetically, modified probiotics can be potentially used in the future to deliver immunity-restoring genes and as oral mode of vaccination in humans. Fecal microbiota transplantation has been gaining interest, used to restore gut conditions, and has also been linked to alleviating neurodegenerative diseases. The focus of this review was to present the available evidence on the immunomodulatory effects of probiotics in the elderly population; aiming to gain a better understanding of their mechanism of action and to assess the progress made in utilizing probiotics as therapeutic interventions. 2023 JHSMR. Hosted by Prince of Songkla University. All rights reserved. -
Process Optimization Using Value Stream Mapping in PCB Manufacturing
PCB Manufacturing process is a complex process and has several processes and sub-processes. Adopting a lean manufacturing system will help to increase the efficiency of the system. This study aims to optimize the process for PCB manufacturing using value stream mapping. Observation method has been used to collect the cycle time of different processes from a PCB manufacturing plant in India. Pareto charts, why-why analysis and Ishikawa diagrams have been used to do the analysis and optimize the process and create a value stream mapping for the entire process. Standard Operating Procedures have been framed and solutions to increase the efficiency has been proposed. 2022 IEEE. -
Primary mirror active control system simulation of Prototype Segmented Mirror Telescope
The upcoming large astronomical telescopes are trending towards the Segmented Mirror Telescope (SMT) technology, initially developed at the W M Keck Observatory in Hawaii, where two largest SMTs in the world are in use. SMT uses large number of smaller hexagonal mirror segments aligned and positioned by the use of three position/force actuators and six intersegment edge sensors. This positioning needs to be done within nanometer range to make them act like a monolithic primary mirror in the presence of different disturbances like wind, vibration & thermal effects. The primary mirror active control system of SMT does this important task at two levels. First at a global scale, by measuring edge sensor information continuously and commanding actuators to correct for any departure from the reference surface. And second at local actuator level, where all the actuators maintain their position to the reference control inputs. The paper describes our novel approach of primary mirror active control simulation of Prototype Segmented Mirror Telescope (PSMT) under design and development at Indian Institute of Astrophysics (IIA), Bangalore. The PSMT is a 1.5m segmented mirror telescope with seven hexagonal segments, 24 inductive edge sensors, and 21 soft actuators. The state space model of the soft actuator with Multiple-Input Multiple-Output (MIMO) capability is developed to incorporate dynamic wind disturbances. Further, a segment model was developed using three such actuators which accept actuator position commands from the global controller and telescope control system and yields tip-tilt-piston (TTP) of a single segment. A dynamic wind disturbance model is developed and used to disturb the mirror in a more realistic way. A feed forward PID controller is implemented, and gains are appropriately tuned to get the good wind rejection. In the last phase, a global controller is implemented based on SVD algorithm to command all the actuators of seven segments combined to act as a single monolithic mirror telescope. In this paper, we present the progress of PSMT active control system simulation along with the simulation results. 2017 IEEE. -
Design and Simulation of 6.2m Wide-Field Telescope for Spectroscopic Survey
The upcoming large astronomical telescopes are trending towards the Segmented Primary Mirror due to technological advancements & manufacturing feasibility. We have designed a wide-field optical IR spectroscopic survey telescope that can deliver spectra of several millions of astronomical sources. The baseline design of this telescope is a 6.2 m segmented primary mirror with hexagonal mirror segments of 1.44m size, intersegment Edge sensors, and soft positioning actuators. The telescope is designed to provide a 2.5deg FOV achieved through a system of wide field corrector lenses with a design residual ~0.2". Also, it delivers an f/3.61 beam suitable for directly feeding optical fibres. A mechanical concept of the telescope is designed with a truss-based mirror cell to support the segmented primary mirror and keep the deformation to a minimum. As the primary mirror is segmented, the deformation due to different disturbances like wind, vibration and thermal effects must be corrected to a nanometer accuracy to make it act like a monolithic primary mirror. This is achieved through an active control system using three actuators and six inter-segment edge sensors. A simulation tool, codeSMT, is built based on the state-space model of a soft actuator with Multiple-Input Multiple-Output (MIMO) capability to incorporate dynamic wind disturbance from the IAO Hanle site and vibration effects. A detailed error multiplier analysis is performed numerically using this tool and is in good agreement with analytical calculations. A parameter sensitivity analysis is performed to fine-tune the primary mirror control system variables. This paper presents the Optical, Mechanical and Active Control system design approach of a 6.2m wide-field telescope currently under conceptual design. 2024 SPIE. -
Taxonomic studies in the genus Haplanthodes (Acanthaceae)
The endemic Indian genus Haplanthodes (Acanthaceae) is revised. Four species, viz. H. neilgherryensis, H. plumosa, H. tentaculata and H. verticillata and a new variety, H. neilgherryensis var. toranganensis are recognized. Lectotype is designated for Haplanthodes, Haplanthus plumosus and H. verticillaris. The nomenclature of the Linnaean name Ruellia tentaculata is also discussed. Micromorphology of seed using light microscope (LM) and scanning electron microscope (SEM) is observed for the first time, and two types, reticulate and micro papillate, have been recognized based on surface sculpturing pattern. The genus differs from the related genera Andrographis and Haplanthus by distinctly two grooved seeds with hygroscopic hairs. Pollen grains of the genus are oblate or prolate spheroidal, distinctly triangular, trizonocolporate with reticulate exine ornamentation. Copyright 2021 Magnolia Press -
Exploring Ethical Considerations: Privacy and Accountability in Conversational Agents like ChatGPT
In recent years, advances in artificial intelligence (AI) and machine learning have transformed the landscape of scientific study. Out of all of these, chatbot technology has come a long way in the last few years, especially since ChatGPT became a well-known artificial intelligence language model. This comprehensive review investigates ChatGPT's background, applications, primary challenges, and possible future advancements. We first look at its history, progress, and fundamental technology before delving into its many applications in customer service, health care, and education. We also discuss potential countermeasures and highlight the major challenges that ChatGPT faces, including data biases, moral dilemmas, and security threats. Finally, we go over our plans for ChatGPT's future, outlining areas that need further research and development, improved human-AI communication, closing the digital gap, and ChatGPT integration with other technologies. This study offers useful information for scholars, developers, and stakeholders interested in the rapidly evolving subject of artificial intelligence-powered conversational bots. This study looks at the ways that ChatGPT has changed scientific research in several domains, such as data processing, developing hypotheses, collaboration, and public outreach. In addition, the paper examines potential limitations and ethical quandaries associated with the use of ChatGPT in research, highlighting the importance of striking a balance between human expertise and AI-assisted innovation. The paper addresses multiple ethical issues with the state of computers today and how ChatGPT can cause people to oppose this notion. This study also has a number of ChatGPT biases and restrictions. It is noteworthy that in a very short period, ChatGPT has garnered significant interest from academics, research, and enterprises, notwithstanding several challenges and ethical issues. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Remote Diabetic Retinopathy Screening with IoT and Machine Learning on Edge Devices
This study presents a novel method of screening for diabetic retinopathy using edge devices the Internet of Things and machine learning. The developed remote screening system ensures broad accessibility as well as affordability by overcoming geographical barriers. While edge computing maximizes real-time analysis, the integration of sophisticated machine learning algorithms improves diagnostic accuracy. The investigation of socio-technical subtleties is guided by the interpretivist philosophy. The outcomes show a strong architecture, effective models, as well as revolutionary effects on accessibility. A critical assessment finds the good points and continuous improvements. Suggestions place a strong emphasis on scaling issues and the ongoing improvement of machine learning models. In order to secure data management and keep up with changing healthcare needs, future research suggests combining blockchain technology with sophisticated imaging modalities. This study advances early detection, enhances accessibility to healthcare, and advances remote screening technologies. 2023 IEEE. -
On an anti-torqued vector field on riemannian manifolds
A torqued vector field ? is a torse-forming vector field on a Riemannian manifold that is orthogonal to the dual vector field of the 1-form in the definition of torse-forming vector field. In this paper, we introduce an anti-torqued vector field which is opposite to torqued vector field in the sense it is parallel to the dual vector field to the 1-form in the definition of torse-forming vector fields. It is interesting to note that anti-torqued vector fields do not reduce to concircular vector fields nor to Killing vector fields and thus, give a unique class among the classes of special vector fields on Riemannian manifolds. These vector fields do not exist on compact and simply connected Riemannian manifolds. We use anti-torqued vector fields to find two characterizations of Euclidean spaces. Furthermore, a characterization of an Einstein manifold is obtained using the combination of a torqued vector field and FischerMarsden equation. We also find a condition under which the scalar curvature of a compact Riemannian manifold admitting an anti-torqued vector field is strictly negative. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Content-Restricted Boltzmann Machines for Diet Recommendation
Nowadays, society is leading towards an unhealthy and inactive and lifestyle. Recent studies show the rapid growth of people suffering from diseases caused due to unhealthy lifestyles and diet. Considering this, recognizing the right type and amount of food to eat with a suitable exercise set is essential to obtain good health. The proposed work develops a framework to recommend the proper diet plans for thyroid patients, and medical experts validate results. The experiments results illustrate that the proposed Content-Restricted Boltzmann Machines (Content-RBM) produces more relevant recommendations with content-based information. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
How Offensive is offensive? A Closer Look at Controversial Advertisements
We live in a world inundated with messages that seek to promote products varied and eclectic in their feel and purpose. Capitalism has rooted itself in many societies; corporate enterprises enthusiastically advertise their products around the world. Over the years we have had countless advertisements bombard us through our TV sets, newspapers, billboards and now through our smartphones. While attention-grabbing, these advertisements are unfortunately often considered questionable. Rising competition among advertisers for consumer attention has led to the production of advertisements that are increasingly risquand frequently downright offensive. There have been growing concerns about the increasingly low standards of advertisements. Be it excessive sexual content, discrimination on grounds of gender, or propagating regressive philosophies, advertisements seek attention for the wrong reasons. While some advertisements were once downright discriminative towards the female population, things seem to have gradually gotten better over the past few years. However, that is not to say that stereotyping and sexism have been wholly eradicated from advertising; these issues are still prevalent today. Though some consumers watch advertisements through a critical lense and critique unethical advertisements, many offensive and discriminative advertisements have still become widely known and popular among viewers. The present paper seeks to explore the idea of offensiveness in advertisements through an analysis of advertising content on the basis of gender discrimination and stereotypical portrayals of gender. Further, a focused group discussion adds audience perspective to the issue as well. Straddled by Uses and Gratification Theory, Social Responsibility Theory, and Self-Construal Theory, this study attempts to explore the concept of the offensiveness of controversial advertisements and to determine the reasons why an advertisement is deemed offensive. It is never too late to question How Offensive is offensive? 2021 Journal of International Womens Studies. -
Industry Internet of Things (IIoT) Adoption Pressures in SME OEMs
Small and Medium Original Equipment Manufacturers (SME OEMs) face challenges in IIoT adoption due to a lack of technical expertise, additional costs, and preferences of the end-users and significant institutional pressures. This research investigates the influence of Environmental Attitude on the Adoption Intention of Industry Internet of Things (IIoT) technologies among Small and Medium Enterprises and Original Equipment Manufacturers (SME-OEMs). This research analyses the effects of End-user Pull and Institutional Pressure in this relationship. A survey of 263 SME OEMs from 11 industrial sectors across 67 cities was conducted using purposive sampling. Structural Equation Modeling (SEM) was used to analyze data, assessing direct and indirect effects. Results show a significant positive relationship between Environmental Attitude and IIoT Adoption Intention. Mediation analysis reveals significant indirect effects through End-user Pull and Institutional Pressure, with complete mediation as the direct effect becomes insignificant. Findings highlight the crucial role of environmental attitude in shaping IIoT adoption intentions among SMEs. A positive environmental attitude drives SMEs to explore IIoT benefits. End-user Pull and Institutional Pressure are key mediators in this process. These insights are valuable for industry stakeholders, policymakers, and SMEs aiming to promote IIoT adoption. Fostering a positive environmental attitude and leveraging End-user Pull and Institutional Pressure can facilitate IIoT adoption. Policymakers can create initiatives to raise environmental awareness and encourage sustainable practices through IIoT. Industry players can form strategic partnerships to support SME OEMs in IIoT adoption. 2024 IEEE. -
Enhancing Small and Medium OEMs' Adoption of IIoT Technologies
Small and Medium Original Equipment Manufacturers (SME OEMs) face challenges of high initial costs, lack of skilled workforce, data security concerns, and limited infrastructure for IIoT implementation. This research explores the crucial factors influencing the successful integration of Industry Internet of Things (IIoT) technologies into products and processes of SME OEMs. The study investigates the impact of IIOT Manufacturers' operational and business support, training effectiveness, and awareness of benefits on SME OEMs' adoption intention of IIoT solutions. A survey was conducted among 263 firms operating in 103 different equipment manufacturing operations across 67 cities, representing 11 industry sectors. The participants were SME OEMs, and data were collected to assess the influence of various factors on their willingness to adopt IIoT technologies. The study revealed significant insights into adopting IIoT solutions among SME OEMs. Training provided by IIoT manufacturers was found to have the most substantial impact on the adoption intention. Moreover, awareness of benefits and business and operational support had an equal and notable influence on the adoption intention of SME OEMs. These findings underline the importance of effective training programs and comprehensive support from IIoT manufacturers in facilitating successful IIoT integration. The study's outcomes emphasize the value of fostering strategic partnerships between Small and Medium Original Equipment Manufacturers and Industry IoT Manufacturers. Such collaborations can be pivotal in enhancing IIoT adoption rates among SME OEMs, enabling them to stay competitive in the fast-paced market. 2024 IEEE. -
Brinkman-Bard convection in a box with temperature modulation
A bounded porous box saturated with Newtonian fluid and subjected to a sinusoidal temperature gradient has various practical applications, such as solar energy storage, groundwater remediation, food processing, and chemical reactors. We address the generalization of the classical Rayleigh-Bard convection problem in a horizontal fluid layer in an infinitely large domain heated from below to a finite three-dimensional box. We also look into a more intricate form of the modulated Rayleigh-Bard problem in which the temperature at the bottom boundary varies sinusoidally. The Rayleigh number quantifies the non-sinusoidal part of the temperature gradient, while the amplitude and frequency of modulation describe the sinusoidal one. The critical Rayleigh number is determined using linear and nonlinear stability analyses; for the latter, the energy method is used. There is a possibility of subcritical instabilities, as evidenced by the energy stability estimates being lower than the linear ones. Furthermore, eigenvalues are obtained as a function of aspect ratios, modulation amplitude, and frequency for varying Darcy numbers. Modulation amplitude more significantly triggers a change in flow patterns at the onset of convection compared to the effect of other parameters. Considering water-saturated porous media made up of different materials, we report the critical temperature difference between lower and upper surfaces required for the onset of convection. In addition, a comparison between such a temperature difference obtained from linear theory and the energy method is also provided in the same manner. It is observed that subharmonic instability occurs for all considered porous media packed densely or sparsely. 2024 Author(s). -
Homosexuality as a Dominant Narrative in Class
[No abstract available] -
Gender justice and women empowerment: Legal measures in India
Educating the girl child, creating job opportunities, putting women in decision making roles, and making pro-women laws protecting them from oppression were some of the many steps that were designed for women's empowerment. But many years down the line the quest for a just society that values women and accords them the necessary dignity and respect is still on. A paternalistic approach with the assumption that women were victims of the social divide was adopted to rid women of their troubles. Being vulnerable they required protection; and so a number of measures were required and adopted to empower her. The authors argue that the flaw in the law is in its paternalistic approach, which does not accord autonomy of self-governance or self-direction. The autonomy needs to be redefined as a relative idea where a just and compassionate society nurtures its members and creates social conditions that strengthens autonomous decisions, instead of impeding them, for the realization of their full potential. It can neither be a masculine versus feminine argument nor be attained in isolation. 2016 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
Is it morally justified to create disabled designer babies?
This research paper explores the questionwhether it is morally permissible for an auditory impaired parent to create an auditory impaired offspring? It makes an epistemological inquiry into the experiences of persons with auditory impairments to make an informed decision on the question at stake. There is a general attitudinal bias against the disability. On the contrary, arguments have been raised that a parent with auditory impairment may have a moral right and a liberty to have a specially designed deaf baby. It is argued that a deaf parents desire to have a deaf child, stems from their need to relate linguistically and culturally with the child. It is also in the best interest of the child and the parent. Such arguments seem grossly misguided and are often countered with arguments of open future, and the costs of disability. This research paper seeks to inquire into the epistemic challenges in examining the validity and the soundness of these arguments. It engages into the arguments and counter arguments with respect to whether auditory impairment is a disadvantageous condition to find that deafness does involve an element of harm though it is not only and only harm. It argues against the proposition that laws permitting abortion in case of foetal anomaly are eugenic. It uses Kantian theory to delve into the moral permissibility of the use of genetic engineering for the creation of impairment and enhancement. In the light of moral, ethical and jurisprudential considerations it finds that it is morally impermissible to use genetic interventions to create impairments or enhancements, as it strikes at the humanity in the designer babies and uses them as a means for the satisfaction of desires. 2021, The Author(s), under exclusive licence to O.P. Jindal Global University (JGU). -
Jurisprudential basis of the right to clean and healthy environment
Examining the basis of the right to a clean and healthy environment helps in an increased understanding of the nature of the right which in turn will further the job of devising effective strategies and policies to meet the interests of the environment and make the right a reality. This paper examines four strategies: Firstly protect environment rights by declaring it to be a right. This would protect it from mutilation at the hands of political processes, and thus would be a safer option, but its dimensions have not yet been crystallised. Secondly, it can be protected by making it part and parcel of human rights. Thirdly, the Interest Theory suggests that the interest of the environment must be protected for its own sake by creating such an interest. Fourthly, the notion of Intergenerational Responsibility which establishes that the present generation has an obligation/duty to preserve and protect the environment for a correlative similar right which the future generation enjoys. The article also examines the conflict between environment protection and developmental needs of humanity. Indian courts have referred to traditional Indian philosophy of 'Dharma' and have tried to adopt a balancing approach by integrating environment values with developmental values. Any theory that does not resolve the above conflict would clearly be insufficient. 2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
Reflection of Public Policy on Environment
International Journal of Research in Social Sciences Vol.3, Issue 1, pp.184-196. ISSN No. 2249-2496 -
Deep Learning Decision Support Model for Police Investigation
A police investigation is an exciting task with many complicated processes that may or may not succeed. However, it is the sole duty of a police officer to understand the crime scene, reconstruct the event and predict the criminal with accuracy. There are various methods for interrogations, predictions, and confirmation after identifying a person as a criminal or upon concluding their actions as a criminal act. However, we can see massive growth in crime rates every day. This massive growth rate makes conventional prediction or analysis very strenuous. In such times we can use or take the help of deep learning and machine learning methods for crime analysis and suspect prediction by identifying the data points in a set. This prediction methodology is known as intelligence analysis which simulates the dataset to draw a connection or pattern collectively from millions of data points to identify the instigator and linkman. This chapter will summarize the uses of deep learning and artificial intelligence in a decision support model for police investigation. 2024 selection and editorial matter, S. Vijayalakshmi, P. Durgadevi, Lija Jacob, Balamurugan Balusamy, and Parma Nand; individual chapters, the contributors.