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IOT based intelligent traffic management system /
Patent Number: 202131062286, Applicant: Bikas Mondal.
As the population grows and there are more cars on the roads, a large number of people may visit a site. It may be difficult for those who work there to keep track of everyone who comes in. Cloud-based interconnection between vehicles will benefit traffic cops by allowing them to monitor traffic and flow patterns without having to get out and do anything. Customers with valid driver's licences can only use a vehicle with an automatic ignition that is solely based on biometrics. -
Photonic crystal based piston type micro pressure sensor /
Patent Number: 201741047023, Applicant: Dr. Preeta Sharan.
A pressure sensor comprising, A two piston shaped slab structure placed invertedly, this two piston are ket such that there is physical gap between them. Further the micro pressure is applied from top and bottom end. -
A novel moems sensor design simulation and analysis with MEEP /
International Journal Of Engineering Technology Science And Research, Vol.2, Issue 8, pp.319-325, ISSN No: 2394-3386. -
Online Health Information Behavior: A study based on PLS-SEM
In this digital era, internet provides a speedy, economical and convenient platform for seeking information on health. Moreover, the presence of audio visual resources for health and option to get expert opinion directly makes online health information seeking behaviour more adaptable among the health consumers. The major purpose of this study is to investigate the relationship between online health information seeking behaviour and the consequences of post-search. For doing the analysis, Smart PLS2 is used to execute structural equation modelling technique to understand the relationship between variables under study. The results of the study recommend that one's intention to search health information online is a significant predictor of post-search behavior in terms of altering health condition, visiting physician or sharing the same information with others. The present study gives a strong indication to the health care practitioners to understand the mechanism of desires and intentions of a healthcare consumer towards online health information seeking behavior. 2021 IEEE. -
Cooperation affects NGO staff performance patterns
In order to optimise employee productivity and overall profitability, non-profits must invest heavily in their human resources. Contrarily, the focus of this study will be on the value of cooperation and the strategies the non-governmental organisation (NGO) should use to improve the performance of the bank as a whole. Once the data have been collected using quantitative and qualitative techniques, SPSS descriptive statistics will be utilised to maintain the findings and support the research hypothesis. According to the study, qualities like trust, camaraderie, job happiness, and benefits directly impact employees productivity at the bank. The degree of teamwork among co-workers directly affects how productive an employee is. Using the statistical program SPSS, managers and staff of NGOs were surveyed; the results revealed a favourable correlation between employee performance and NGO cooperation. When employees cooperate at work, their productivity increases, and the efficacy of the organisations they work for rises. Good news for charitable organisations. Because of this, the collaborative NGO outperforms the non-collaborative NGO in terms of productivity. It was found that better communication results in greater cooperation amongst NGOs. Copyright 2023 Inderscience Enterprises Ltd. -
Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour
The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individuals choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals. 2024 IOS Press BV. All rights reserved. -
Climate anxiety, wellbeing and pro-environmental action: correlates of negative emotional responses to climate change in 32 countries
This study explored the correlates of climate anxiety in a diverse range of national contexts. We analysed cross-sectional data gathered in 32 countries (N = 12,246). Our results show that climate anxiety is positively related to rate of exposure to information about climate change impacts, the amount of attention people pay to climate change information, and perceived descriptive norms about emotional responding to climate change. Climate anxiety was also positively linked to pro-environmental behaviours and negatively linked to mental wellbeing. Notably, climate anxiety had a significant inverse association with mental wellbeing in 31 out of 32 countries. In contrast, it had a significant association with pro-environmental behaviour in 24 countries, and with environmental activism in 12 countries. Our findings highlight contextual boundaries to engagement in environmental action as an antidote to climate anxiety, and the broad international significance of considering negative climate-related emotions as a plausible threat to wellbeing. 2022 The Authors -
Addressing challenges and opportunities in enhancing water quality for irrigation
The rapidly changing quality of irrigation water is a pressing issue that needs to be addressed in order to understand and predict the long-term effects on soils and crops in a world that is facing increasing water stress. The use of irrigation in agriculture is becoming increasingly reliant on sources of water that are poorly understood and largely unmonitored. This trend has led to a decline in water and soil quality in many areas. While soil salinization and reduced crop productivity have traditionally been the main concerns when it comes to the quality of irrigation water, there is now evidence that geogenic contaminants, such as trace elements and an increase in the use of wastewater, are also affecting irrigation water quality. The ability to measure extremely small concentrations of biologically-active organic contaminants, including plasticizers, pharmaceuticals, personal care products, and steroid hormones, in various irrigation water sources allows us to evaluate their uptake and occurrence in crops. However, it does not address questions related to food safety or the potential health effects on humans. Additionally, natural and synthetic nanoparticles are now known to be present in many water sources, which may alter plant growth and impact food standards. 2023 Author(s). -
Recycling carbon tax for inclusive green growth: A CGE analysis of India
In this decade, India has been pursuing a low carbon inclusive growth strategy. However, carbon tax, the most direct price instrument to reduce carbon emissions, has not found favour with policymakers because of its supposed detrimental effects on economic growth and income distribution. In the Indian context, the literature indicates that though carbon tax is extremely effective in abating carbon emissions, it simultaneously leads to reductions in GDP. There is, thus, an undesirable trade-off between economic growth and climate change mitigation. However, in trying to overcome this trade-off through a double-dividend from carbon tax, these studies have not really explored all possible options. Whether the carbon tax will yield a double-dividend or not, will depend upon how the carbon tax revenue is recycled. The present paper fills this gap in the literature on recycling carbon tax for inclusive green growth by exploring the consequences of using carbon tax revenue for investment to build capacity in all sectors or exclusively in the clean energy sectors and to execute transfers to households to improve the distribution of income. This analysis has been done with a recursively dynamic India-specific CGE model having a disaggregated energy sectors and an endogenous income distribution module. 2020 Elsevier Ltd -
Solutions for time-fractional coupled nonlinear Schringer equations arising in optical solitons
In this work, an efficient novel technique, namely, the q-homotopy analysis transform method (q-HATM) is applied to obtain analytical solutions for a system of time-fractional coupled nonlinear Schringer (TF-CNLS) equations with the time-fractional derivative taken in the Caputo sense. This system of equations incorporate nonlocality behaviors which cannot be modeled under the framework of classical calculus. With numerous important applications in nonlinear optics, it describes interactions between waves of different frequencies or the same frequency but belonging to different polarizations. We first establish existence and uniqueness of solutions for the considered time-fractional problem via a fixed point argument. To demonstrate the effectiveness and efficiency of the q?HATM, two cases each of two time-fractional problems are considered. One important feature of the q?HATM is that it provides reliable algorithms which can be used to generate easily computable solutions for the considered problems in the form of rapidly convergent series. Numerical simulation are provided to capture the behavior of the state variables for distinct values of the fractional order parameter. The results demonstrate that the general response expression obtained by the q?HATM contains the fractional order parameter which can be varied to obtain other responses. Particularly, as this parameter approaches unity, the responses obtained for the considered fractional equations approaches that of the corresponding classical equations. 2021 The Physical Society of the Republic of China (Taiwan) -
Rendering support for the empowerment of rural women to overcome life impediments
The socio-cultural and economic landscape of rural India is not totally conducive for women. Surveys and reports in this regard would suggest the continuous existence of gender-based discrimination and its negative effects on the status and livelihood of rural women. Recognizing this situation, the Centre for Social Action (CSA) has pioneered its efforts to sensitize and involve youth (especially students) in the mitigation of rural issues and has been supporting women in select villages by promoting Self Help Groups (SHGs). These SHGs, in turn, organize capacitybuilding and empowerment programmes for the women to enhance their livelihood and socio-economic well-being. The present study is designed to understand the impact of CSA's intervention on the status and livelihood of women in the select project sites. Towards this end, we collected data from a sample of 150 women beneficiaries of CSA's initiative using a structured interview schedule. The study used a mixedmethod design. The study's outcome indicates a positive correlation between women's participation in CSA initiatives and their status and livelihood improvements. The results are encouraging that they would help one formulate effective models similar to this one for the empowerment of women. 2024 Nova Science Publishers, Inc. -
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Analyzing the therapeutic significance of Strelitzia reginae Banks: Exploring its physico-chemical properties, elemental makeup, and antimicrobial activity
Plants constituting biologically active molecules with curative value have overtime showed advantage as subject of researches. Strelitzia reginae (Bird of Paradise) is a member of the Strelitziaceae family. Several South African tribes used plant parts to treat the venereal diseases and inflamed glands. The study aimed to investigate therapeutic potential of leaf and root extracts of S. reginae by assessing the physico-chemical properties, elemental analysis. Elemental analysis was carried out by Atomic Absorption Spectrometry (AAS) method, quantitative phytochemical analysis was carried out using, Gas Chromatography and Mass Spectrometry (GC-MS) analysis. The leaf and root of S. reginae were extracted using soxhlet technique of extraction and was further concentrated with a rotary evaporator. Standard protocols assessed the plants elemental compounds, physico-chemical properties, qualitative and quantitative phytochemicals, GC-MS analysis, antioxidant activity using DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging assay, phosphomolybdate assay, ferric reducing power assay (FRAP), metal chelating assay, and antimicrobial potential by well diffusion test. The results of AAS exhibited that the leaf and root contain more calcium and less of cadmium content. Preliminary phytoconstituents showed the presence of medicinally important alkaloids, anthraquinones, tannins, carbohydrates, flavonoids, saponins, phenols, proteins, and amino acids. The quantitative phytochemical analysis revealed that the leaf has higher total phenolic, flavonoid, chlorophyll, carbohydrates, protein, and proline contents than root. GC-MS analysis verifies the existence of bioactive components like squalene, hexatriacontane, phytol, hexacosane, heptacosane, and octacosane. DPPH, phosphomolybdate assay, FRAP and metal chelating antioxidant analysis revealed excellent activity in leaf and in root sample. As various South African tribes employed plant parts to treat sexual diseases and swollen glands, the antimicrobial property was investigated for the first time using a well-diffusion approach, and both plant parts revealed significant antibacterial and antifungal efficacy against recognized strains. The current study showed S. reginaes therapeutic potential and asked for more pharmacological and biological research to boost the importance of the worlds unevaluated herbal plants. 2024, Indian journals. All rights reserved. -
Assessing oral acute toxicity and histopathological effects of Strelitzia reginae Aiton leaf extracts in Zebrafish (Danio rerio Hamilton)
Strelitzia reginae, commonly known as the Bird of Paradise, is a decorative shrub endemic to southern Africa. This study marks the first comprehensive investigation into the safety of S. reginae leaf extract through oral acute toxicity assessments and histopathological examinations in Zebrafish (Danio rerio). The interest in this research arises from the historical use of S. reginae components by various indigenous South African societies to treat conditions like swollen glands and sexual problems. GC-MS analysis was used along with traditional methods to look at the phytochemical parts of S. reginae. The results showed the presence of several substances, such as eicosane, hexacosane, 1-octadecene, and neophytadiene. Notably, the analysis also identified certain chemicals with potential cytotoxic properties, such as octacosane and bis (2-ethylhexyl) phthalate. Drawing upon the biological similarities between Zebrafish and humans, who share a majority of their genes, this study represents the first attempt to evaluate the toxicity and histopathology of S. reginae using D. rerio as the test model, aligning with the OECD recommendations outlined in Article 203. The oral acute toxicity tests were done using ethanolic leaf powdered extracts of S. reginae. Higher concentrations (1200 mg/L) were toxic, but lower doses were less harmful to D. rerio. As observed in the histopathology examination, exposure to higher concentrations of S. reginae extract induced severe histological abnormalities in the Zebrafish's gills, liver, kidneys, intestines, and brain. This work contributes greatly to our understanding of S. reginae's safety profile and its potential therapeutic applications for enhancing well-being. 2024 Horizon e-Publishing Group. All rights reserved. -
Carbon Dioxide Neutralization across the Global Supply Chain
The increased impacts of climatic changes and global warming has led many organizations to adopt green initiatives in several areas of their business processes. Many multinational companies are moving towards reduction of carbon emission across its various operations. Carbon neutrality is the process where steps are taken to achieve net zero carbon dioxide emissions. This article proposes measures to achieve carbon neutrality across the supply chain globally. As part of its sustainability initiative, organizations have decided to reduce carbon consumption across their plants. This calls for estimation of carbon dioxide emissions and reducing the carbon footprint in the entire supply chain process. It also involves gauging Green House CO2 emissions during the transportation process for all TMC regions and Transportation models used by various companies. The main calculations include total CO2 emissions, CO2 Emissions per Ton. Of Goods Transported, CO2 Emissions per Transport Km. These calculations are done based on factors such as Full Truck Load, Less Truck Load, Sea mode of transportation and Air mode of transportation. An analysis is performed on the resulting calculation figures for different modes of transportation such as road, air and sea. The analysis shows that there is an increase in overall CO2e for Air mode of transportation. The least increase in overall Co2 is Sea mode of transportation. Through this analysis, it helps the company to take better decisions regarding the mode of transportation that they need to adopt to achieve carbon neutrality. The Electrochemical Society -
REVIEW OF CENSORING SCHEMES: CONCEPTS, DIFFERENT TYPES, MODEL DESCRIPTION, APPLICATIONS AND FUTURE SCOPE
Survival analysis is one of the key techniques utilized in the domains of reliability engineering, statistics, and medical domains. It focuses on the period between the initialization of an experiment and a subsequent incident. Censoring is one of the key aspects of survival analysis, and the techniques created in this domain are designed to manage various censoring schemes with ease, ensuring accurate and insightful time-to-event data analysis. The statistical efficiency of parameter estimates is improved by accurately incorporating censoring information by making use of the available data. This paper reviews the concepts, model descriptions, and applications of conventional and hybrid censoring schemes. The introduction of new censoring schemes from conventional censoring schemes has evolved by rectifying the drawbacks of the previous schemes, which are explained in detail in this study. The evolution of hybrid censoring schemes through the combination of various conventional censoring schemes, the data structures, concepts, methodology, and existing literature works of hybrid censoring schemes are reviewed in this work. 2024, Gnedenko Forum. All rights reserved. -
Examining the Relationship between Academic Expectations and Suicidal Ideation among College Students in India Using the Interpersonal Theory of Suicide
Objective: As the second most populous country in the world, India accounts for over 20% of the global suicide deaths. Notably, young adults make up 38% of those who die by suicide in India. Yet, the literature on factors associated with suicide within this age group in India is limited. The Interpersonal Theory of Suicide (IPTS) posits thwarted belongingness and perceived burdensomeness as constructs that heighten the risk for suicide. Testing mechanisms that may mediate the relationship between common stressors for young adults in India, such as academic expectations, and suicidal ideation are important to better understand factors contributing to suicide risk within this country. Method: Indian college students (N = 432, M age = 19.41, 73.1% male) completed questionnaires on academic expectations, thwarted belongingness, perceived burdensomeness, collectivism, and suicidal ideation. Results: Current suicidal ideation was endorsed at a rate of 38%. Academic expectancy from the self, perceived burdensomeness, and thwarted belongingness was significantly associated with suicidal ideation. The only significantly mediated pathway was academic expectancy from others to suicidal ideation through perceived burdensomeness. Collectivism was not a significant moderator in the model. Discussion: The sample endorsed high rates of suicidal ideation, highlighting the need for culturally appropriate interventions. Thwarted belongingness, perceived burdensomeness, and academic expectations from oneself may be relevant treatment targets for reducing suicidal ideation among college students in India.HIGHLIGHTS Over one-third of Indian university students endorsed suicidal ideation. Suicidal ideation related to ones own more than others academic expectations. Results offer support for the Interpersonal Theory of Suicide within this context. 2022 International Academy for Suicide Research. -
Artificial intelligence for blockchain and cybersecurity powered IoT applications
The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper-proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity. 2025, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouard, Abhishek Kumar, Vandana Sharma and Keshav Kaushik. All rights reserved. -
Credit card fraud detection using ANN
Fraud on its own was and is devastating a lot of businesses, be them small or large. Particularly in the field of finance where we can see constant attacks on both individuals and enterprises alike. As such, credit cards are the most targeted as they are linked to both personal information and accounts. It is also evident to say that credit card fraud detection research is very much needed to deter and mitigate the impact of fraud on the financial field in general. It is important to identify frauds before it is too late so that the stolen credit card cannot be used for fraudulent transactions. To effectively detect these fraud transactions, we use a data consisting of fraudulent and non-fraudulent transactions to create a model that classifies these transactions with a high accuracy based on a machine learning technique. We used Artificial Neural Network with Logistic Regression to measure and in order to achieve high accuracy, we refined the parameters using the algorithms Back-propagation which has proved to have a high accuracy rate giving the model the ability to distinguish a fraudulent transaction from a normal one. BEIESP. -
Corporate social responsibility assurance, board characteristics and social performance disclosure. Evidence of listed firms in India
The study examines board characteristics, corporate social responsibility (CSR) assurance and social performance disclosure of listed firms before and after mandatory CSR reporting in India. We used the Indian stock market as the testing grounds and applied panel regression and difference-in-differences to analyse 960 firm-year observations between 2010 and 2021. The first findings show that independent board directors and total board size are insignificant in CSR assurance engagement in a mandatory CSR policy period. However, CEO duality is less than likely causing CSR assurance engagement. The second findings show that CSR assurance engagement more than likely causes an increase in social performance disclosure before mandatory CSR policy implementation and increases social performance after policy implementation. The third findings show that the interactive effect of board characteristics (independent directors, total board size and CEO duality) and CSR assurance engagement causes an increase in social performance disclosure. The study sought clarity on the impact of CSR assurance and mandatory CSR reporting on information asymmetry problems to stakeholders. The study also contributes new knowledge on the influence of the interactive effect of board characteristics and CSR assurance on the social performance disclosure of listed firms in India. 2022 John Wiley & Sons Ltd.