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A comparison of recommendation algorithms based on use of linked data and cloud
Recommendation generation is a critical need in today's time. With the advent of big data and the increasing number of users, generation of most suitable recommendation is essential. There are many issues already associated with recommendations such as data acquisition, scalability, etc.. Moreover, the users today look to get best recommendations at the minimum effort on their side. Thus it becomes difficult to manage such huge amount of information, extract the needed data and present it to the user with least user involvemen t. In this research, we surveyed some recommendation algorithms and analyze their applications on an open cloud server which uses linked data to generate automated recommendations. 2018 Authors. -
Cutting across the Durand: Water dispute between Pakistan and Afghanistan on river Kabul
All nations firmly believe in the absolute sovereignty over the waters flow in their areas and that only riparian states have any legal right, apart from an agreement, to use the water from the shared river. To address some of their water concerns, the co-riparian states compete to have more quantity of waters. Significantly, no water agreement exists between upper riparian Afghanistan and lower riparian Pakistan, despite sharing nine big and small rivers. The simmering water dispute between them on the River Kabul is rarely noted mainly because it is overshadowed by their political tensions, differences, and the dispute over the Durand Line. Using an analytical framework, this article examines three aspects of the River Kabul water dispute: its context, identifying the challenges that hinder a formalized bilateral agreement from being implemented, and its future. 2020 Policy Studies Organization -
Efficient management of feed resources using data mining techniques /
Feed is the largest input in any livestock enterprise and the rapid increase in feed prices and shortage of feed resources has been one of the major constraints for farmers, livestock industries, planners and the policy makers. This calls for prudent management of available resources and application of computing techniques can be one of the possible potential approaches. India is endowed with a wide range of feed resources varying widely in their composition and utility for different livestock species. Clustering of feed resource into different groups based on the composition can help in better feed management. To evaluate and to suggest a best technique for clustering feed resources, we have evaluated three clustering techniques viz. K-means, spectral k-means and auto spectral on two different data sets containing 236 and 106 feed resources with major constituents like crude protein, crude fiber ash, fat etc., . -
Are Women Employees in Engineering Institutions Suffer from the Stress: An Investigation Approach
Workplace stress could be detrimental to both the employer and its employees. The greatest ways to keep distress at bay in the workplace are via competent management and well-organized processes. Supervisors must recognize signs of staff distress and be prepared to provide assistance. Whenever an individual is confronted with job expectations and pressures exceeding their skillset and expertise, they experience stress connected to their employment. Workplace stress is common and could exacerbate stress when workers don't perceive they have the backing of management or coworkers in dealing with the challenges they face. The term 'stressed' is frequently used as a justification for ineffective management and inadequate supervision, even though it is typically caused by a misunderstanding of the difference between pressure and challenge. Stress and other forms of adversity are at an all-time high, both in the job and in personal life. Employee stress could be further exacerbated by things like job uncertainty, excessive hours, frequent changes, workload, and unattainable targets. The purpose of this article is to understand the variables that contribute to high-stress levels amongst female faculty members in engineering institutions strain in the job atmosphere. One's ability to manage stressful work situations, the amount of social help and assistance one receives, and the coping mechanisms one employs all play significant roles in how much stress one endures on the job. This research was done because it was necessary and important. In addition, women play a larger role in society than males do. This study suggests that women experience much high levels of stress than men do employment reasons, repercussions, roles and obligations of women faculty in engineering education, and possible remedies are all explored in this paper. 2023 IEEE. -
Unmanned Artificial Intelligence-Based Financial Volatility Prediction in International Stock Market
This study investigates the capacity of autonomous artificial intelligence to predict the volatility of the worldwide stock market and proposes an innovative approach utilizing cutting-edge AI algorithms. A comprehensive literature review examines the evolution of financial prediction systems and the transformative effects of artificial intelligence in improving predictive capabilities. The AI system under consideration employs machine learning techniques more effectively than traditional methods for collecting and predicting financial volatility. The strategy heavily relies on automated data capture, preprocessing, and model training. A recall of 76%, an accuracy rate of 94%, a precision of 81%, an area under the curve of 0.87, and a sharp ratio of 1.25 comprise the model's impressive specifications. This research illuminates the prospective financial applications of artificial intelligence and provides a way to navigate the intricacies of international stock markets. 2024 IEEE. -
Adaptive Grasshopper Optimization Algorithm for Multi-Objective Dynamic Optimal Power Flow in Renewable Energy Integrated Microgrid
Global warming has prompted several governments to adopt more sustainable policies in all areas. Incorporating renewable energy sources (RES) and adopting electric vehicles (EVs) are examples of such practises. Today's electrical distribution networks (EDNs) are becoming more reliable microgrids (MG) that can operate grid-connected or self-healing. As a result, the fluctuating nature of RES and EVs has raised numerous technical and economic concerns. This research proposes a novel multi-objective dynamic optimum power flow (OPF) addressing total load dispatch cost minimization and network security margin maximisation for various load profiles. A composite load model is proposed considering residential, industrial, commercial, EVs, agricultural loads. The proposed optimization issue is tackled using an adaptive grasshopper optimization algorithm (AGOA), a metaheuristic grasshopper optimization technique with adaptive control parameter (AGOA). A modified IEEE 33-bus benchmark test system with PV units and reactive power compensation devices is used for simulation over 24-hour horizon. The suggested AGOA's computing efficiency is compared for two scenarios. By combining good exploration and exploitation features with adaptive regulating variables, the AGOA outperformed in terms of global optima. Also, the techno-economics of MG operation and control are improved significantly. In scenario 1, the network is configured in a radial topology, with average operational costs, distribution losses, voltage variation, and transmission loadability of 1117.72 $/h, 82.4803 kW, 0.0058 p.u., and 0.7910 p.u., respectively, over a 24-hour period. In scenario 2, the network is run as a meshed network, with network performance of 1113.36 $/h, 43.15 kW, 0.0019 p.u., and 0.8524 p.u., respectively. This suggests that switching from radial to meshed configuration can result in lower losses, a better voltage profile, and increased loadability, as well as the applicability of the suggested methodology for managing uncertainty in modern EDNs. 2022. All Rights Reserved. -
Improved Bald Eagle Search for Optimal Allocation of D-STATCOM in Modern Electrical Distribution Networks with Emerging Loads
Currently, modern electrical distribution networks (EDNs) are experiencing high demand with emerging electric vehicle loads and are being planned for specific load requirements such as agricultural loads. In this connection, characterization and optimization of their performance become essential in planning studies. In this paper, optimal reactive power compensation using a distribution-static synchronous compensator (D-STATCOM) is proposed with the aim of loss reduction, voltage profile improvement and voltage stability enhancement different types of loads including agricultural and electric vehicle loads. A recent efficient meta-heuristic approach, improved bald eagle search (IBES), is implemented for solving the proposed optimization problem considering different operational and planning constraints. The simulation results are performed on IEEE 33-bus for different types of load modelling. The computational efficiency of IBES is compared with basic BES and other literature works. From the results, IBES has shown superior computational characteristics than all compared works. On the other hand, the optimal location and size of D-STATCOM caused significant loss reduction, voltage profile improvement and voltage stability enhancement for kinds of loads as experiencing in the modern EDNs 2022,International Journal of Intelligent Engineering and Systems.All Rights Reserved -
Enhancing stochastic optimization: investigating fixed points of chaotic maps for global optimization
Chaotic maps, despite their deterministic nature, can introduce controlled randomness into optimization algorithms. This chaotic map behaviour helps overcome the lack of mathematical validation in traditional stochastic methods. The chaotic optimization algorithm (COA) uses chaotic maps that help it achieve faster convergence and escape local optima. The effective use of these maps to find the global optimum would be possible only with a complete understanding of them, especially their fixed points. In chaotic maps, fixed points repeat indefinitely, disrupting the map's characteristic unpredictability. While using chaotic maps for global optimization, it is crucial to avoid starting the search at fixed points and implement corrective measures if they arise in between the sequence. This paper outlines strategies for addressing fixed points and provides a numerical evaluation (using Newton's method) of the fixed points for 20 widely used chaotic maps. By appropriately handling fixed points, researchers and practitioners across diverse fields can avoid costly failures, improve accuracy, and enhance the reliability of their systems. 2024 Institute of Advanced Engineering and Science. All rights reserved. -
A Qualitative Study to Understand the Nature of Abuse Experienced by Persons with Severe Mental Illness
Persons with Severe Mental Illness (PwSMI) living in the community are considered high-risk groups for victimization. However, the nature of violence experienced by PwSMI is not well understood in India, which limits the effectiveness of clinical interventions to prevent revictimization. The Key Informant Interviews (KIIs) and Focused Group Discussion guides were developed, content validated, and pilot tested. A total of 27 KIIs and 5 focus groups were conducted with 14 PwSMIs, 19 experts, and 18 caregivers. Thematic analysis was done using Braun and Clarke's six stages of thematic analysis. The saturation of themes was determined using the Comparative Method for Themes Saturation (CoMeTS). Some of the themes and subthemes that emerged were (1) Physical Abuse (physical restraining, hitting, spitting), (2) Psychological Abuse (living in a controlling environment, criticized, neglected, scapegoated, symptomization of emotions and behavior),(3) Sexual Abuse (sexual assault, reproductive coercion, sexual exploitation), (4) Social Abuse (teased or labeled, social deprivation, abandonment, discrimination, and exclusion), and (5) Trauma in formal care (Coercive treatment practices, seclusion, negative attitude of staff, surreptitious prescribing of medicines, patronizing behavior). Abuse experienced by PwSMI has significant treatment and health care costs and an increased burden on families and society, so comprehensive psychosocial care and support are needed to prevent revictimization. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023. -
Profiles of Victimized Outpatients with Severe Mental Illness in India
Persons with severe mental illness (PwSMI) are at risk of being victimized due to persistent cognitive, emotional, and behavioral symptoms, which can become potential threats for effective reintegration into the community. A total of 217 PwSMI, receiving outpatient psychiatric treatment from a tertiary hospital, were screened for abuse, and if they were identified as abuse, then information about contextual factors contributing to abuse, sociodemographic, family, and clinical and legal profiles was created. Overall, 150 PwSMI were victimized, of which 56% were females, 50.7% were married, 20.7% were educated up to middle school, and 31.4% were homemaker. The most common form of diagnosis was schizophrenia (43.3%), with a mean duration of illness of 14 years. All the victimized PwSMI were subjected to emotional abuse. PwSMI were more likely to be victimized by multiple family members due to poor knowledge and understanding about illness (24%). The majority of the PwSMI had disclosed abuse (62.7%) to nonformal sources (33.3%) with no documentation in the clinical file (82.7%). PwSMI experience ongoing abuse and are more likely to be re-victimized, which increases the need for regular screening and culturally sensitive and comprehensive community-coordinated care and support. 2023 Indian Journal of Community Medicine. -
Narrative Therapy with Dalit Female Survivors of Violence
Narrative therapy is an evidence-based therapeutic intervention that can help address trauma experienced by women who have experienced violence. Narrative therapists open up new perspectives for their clients by examining moments of strength, vitality, and autonomy, which are often hidden in stories about oppression, suffering, and marginalization. Dalit women who participated in the research revealed how the stories opened up new possibilities for constructing unique narratives. A multiple case study design was used to elicit the responses of female survivors with severe mental illness to physical, sexual, and psychological abuse perpetrated by Dalit and higher caste men. 2024 Mary Ann Liebert Inc.. All rights reserved. -
A study on emotional intelligence and work life balance of employees in the information technology industry in Bangalore, India /
Emotional Intelligence is a set of qualities and competencies that captures a broad collection of individual skills and dispositions, usually referred to as soft skills or inter and intra-personal skills, that are outside the traditional areas of specific knowledge, general intelligence, and technical or professional skills. Emotions are an intrinsic part of our biological makeup, and every morning they march into the office with us and influence our behavior. Emotional intelligence consists of five factors: Knowing one's emotions, managing emotions, motivating oneself, recognizing emotions in others, and handling relationships Goleman (1995). Researchers today are interested in finding the effects of emotional intelligence on employees and thereby, organizations, and analyzing the various other facets of EQ. Emotional intelligence improves individual and organizational performance. -
Evolutionized industry with the Internet of Things
Technological development has led us to various paths. Though each technological change has evolved in its own space and time, it resulted in amenities and a pragmatic approach to problem-solving. One such technology is the "Internet of Things" - IoT which was coined in the year 1999 by a computer scientist called Kevin Ashton. Despite its start in the late 90s, it has come a long way to achieve the status of 10 Billion active IoT devices by the end of 2021, with the IoT solutions costing an estimated economic value of 4-11 trillion by 2025. 2023, IGI Global. -
The Role of Financial Analytics in Decision-Making for Better Firm Performance
The need to make informed decisions has become a matter of survival for every organisation in the current unprecedented and dynamic business environment. The exponential growth in technology along with the internet has brought in enormous volume and variety of data access to all organisations irrespective of their industry. Organisations should consider their resources and industry environment to build their analytics capabilities, as it involves a tremendous investment. In this context, it is essential to understand the role of financial analytics in decision-making for better firm performance. Hence, this chapter proposes to throw light on the evolution of big data analytics, theoretical linkages, dimensions and benefits of using financial analytics, technological support for financial analytics along with use cases, and Strengths, Weaknesses, Opportunities, and Challenges (SWOC) analysis. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Revolutionizing Healthcare with IoT: Connecting the Dots for Better Patient Outcomes
Healthcare enhances ones physical and emotional well-being via the detection, treatment, and eventual cure of disease, illness, injuries, and other debilitating conditions. The importance of information systems has increased everywhere, particularly in the healthcare sector. Information technology has long benefitted the health business, from electronic health records to cloud-based platforms. Information systems are becoming increasingly important in advancing healthcare and healthcare administration. The pandemic brought virtual space and services to all sectors of the economy, especially healthcare, which was predominantly supported through face-to-face services earlier, but due to the requirement of social distancing, hospitals started offering services in virtual mode. Also, evolution in the information system and the Internet has paved the way for the Healthcare Internet of Things (HIoT). The Healthcare Internet of Things (HIoT) is the interconnection of intelligent objects or devices that enables the development of new healthcare services and applications. HIoT can take many forms, namely medical devices, public health services, innovative technology, medication refills, and remote monitoring. This healthcare data is a new treasure for healthcare stakeholders to improve patients health and experiences while creating revenue opportunities and improving healthcare operations. Thus, HIoT is redefining healthcare by ensuring better care, improved treatment outcomes, and reduced patient costs, as well as better processes and workflows, improved performance, and patient experience for healthcare providers. HIoT devices can also be useful for asset management tasks like controlling inventory at the pharmacy, checking refrigerator temperatures, and controlling humidity and temperature in the environment. Having said the advantages, one cannot deny the challenges it has brought to safety, security, privacy, and scalability aspects. Hence, this chapter will explore the evolution of IoT in healthcare, its elements, applications, and challenges. 2024 selection and editorial matter, Alex Khang. -
Promotional strategies used by electronic dance music festicals (Sunburn and VH1 supersonic) on social networking sites /
This study deals with promotional strategies used by Electronic Dance Music (EDM) festivals like Sunburn and Supernova on social networking sites. This study also tries to learn branding techniques used by these Electronic Dance Music’s. The interest Indian youth have on music festivals has increased and is still increasing mainly due to social networking sites especially in the past few years. Promotions used by these events are trending and are the most successful promotional strategies implemented till date. -
Neuropsychological functions and optimism levels in stroke patients: A cross-sectional study
Neuropsychological abnormalities, as well as behavioural and psychological characteristics, are being examined in patients in order to determine the prevalence of cognitive impairment and other neurovascular riskfactors, including prior strokes. The green light has been given by the institution's human ethics committee for this investigation. In order to conduct the study, the researchers used experimental clinical research techniques. Seventy-five stroke patients ranging in age from 20-70 were the focus of this study. All patients in the hospital had daily clinical examinations and were able to identify the underlying causes of their strokes. The NIMHANS Neuropsychological Battery was administered to all patients between one and six months after the onset of their stroke symptoms. 2023, IGI Global. All rights reserved. -
An Investigation of the Effects of Chronic Stress on Attention in Parents of Children with Neurodevelopmental Disorders
Prolonged exposure to stress can cause impairments in various brain functions including cognition. Attention is one such important cognitive function that is required for our daily life and work-related activities. Chronic stress can have an impact on attention networks such as alerting, executive control, and orienting. The effects of naturalistic, persistent psychosocial stress on several attention networks were explored in this study. Parents of children with neurodevelopmental disorders (NDD) and parents of children with typical development (TD) were given an attention network test (ANT). Overall the stressed group (M= 564.623, SD= 75.484) was found to have a quicker reaction time in all the target and cue conditions whencompared to the non-stressed group (M= 588.874, SD= 101.575). Both groups had similar accuracy in all the conditions. When comparing the three attention network scores, no significantdifference was found in either group. However, in the stressed group, there was a significant beneficial relationship between the alerting and orienting networks (p=.006) and a high negative correlation between the alerting and executive control networks (p=.028). No significant correlation was found between the attention networks in the non-stressed group. Copyright2024 by authors, all rights reserved. -
First Aid Kit to Solve Mental Health Crisis in India: Mental Health First Aid to the Rescue
India has a large population with the prevalence of many mental health concerns but faces a shortage of mental health professionals. This paper deals with this mental health crisis in India and how Mental Health First Aid and developing a first aid kit for mental health would help to address the issue. Mental health and mental illness in India additionally face stigma and backlash from the society. Due to this, very few people with mental ailments come forward to seek professional help. While we are aware of and trained in first aid for physical health, the concept of first aid for mental health is in its infancy. Hence, a review of literature was done to find the benefits of Mental Health First Aid and how it could benefit in solving the crisis in India. Creating a Mental Health First Aid Kit on a similar basis to its physical counterpart can also come in handy while administering mental health first aid. Results show that an individual trained inmental health first aid might act as a bridge between people with mental ailments and mental health professionals and assist in providing timely help. The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2023. -
Tissue-Specific Profile and Activity Patterns of Glycosyl Hydrolases from Trichosanthes Anguina (Snake Gourd)
Plant glycosyl hydrolases (GH) and their function have been extensively studied using biochemical and molecular genetic approaches. GHs are involved in metabolism of various glycoconjugates specifically by the hydrolysis of glycosidic bonds and also in N-glycan processing. Several GHs have been extensively characterized from various plant sources and their diverse functional roles in cell wall polysaccharide metabolism, glycan biosynthesis and remodulation, signaling, symbiosis, secondary metabolism, etc. have been studied. However, information on tissue specific distribution of these enzymes, which is crucial for further understanding their physiological roles in plants is highly limited. In these lines, the present study was aimed at qualitative analysis of selected GHs from different tissues of a model plant, Snake Gourd (Trichosanthes anguina). The qualitative analysis of GHs such as ?-mannosidase, ?-hexosaminidase, ?-galactosidase, ?-glucosidase, ?-glucuronidase, ?-glucosidase, ?-galactosidase, ?-mannosidase and ?-fucosidase from seeds, sprouts, roots, stem, leaves, flowers and fruits of the Snake Gourd plant was carried out. Activities of different GHs varied in a tissue specific manner. The ?-mannosidase activity was maximum in ripened fruits whereas ?-hexosaminidase showed highest activity in roots. Interestingly, flowers had maximum activities of ?-glucuronidase and ?-fucosidase. The correlation analysis suggested significant correlations between various GHs which altered in tissue specific manner. (2023) Association of Carbohydrate Chemists and Technologists.