In sports education, psychological strength is considered as an integral component in the performance of any athlete. One of the effective ways to improve many psychological attributes involves training. The sample consisted of 450 athletes divided into an experimental group (EG) (n = 225) that received eight-week imagination training and a control group (CG) (n = 225) that continued with conventional training. Data was examined using the latest version of SPSS 17.0, using descriptive statistics, paired t-tests, and Analysis of covariance (...) (ANCOVA) to control for pre-existing differences. Psychological strength, mental resilience, focus and concentration, confidence, and stress management are important in athletic performance. It is proposed as a method of enhancing these psychological attributes in sports education. There were differences in significance in the EG in psychological strength, focus and concentration, confidence, and stress management compared with the CG. Paired t-tests in these variables reflect p< 0.05. ANCOVA supported the efficiency of imagination training. Imagination training significantly develops psychological strength and other related attributes in athletes. In all the variables studied, the EG performed better compared to the CG, which provided evidence that imagination training is indeed a helpful tool in enhancing psychological strength and performance in sports education. (shrink)

Technological evaluations have significantly enhanced college students’ fine arts competence development by providing advanced tools and platforms that foster creativity, improve technical skills, and enable innovative artistic expression. In this study 500 college students were mentioned as participators. The variables Technological Tools, Technical Proficiency, Advanced Technologies, Creativity and Innovation, Online Platforms, Skill Development, and Collaborative Competencies are built to evaluate various aspects of technological and creative capabilities in educational and professional settings. Fine arts competitions like the (Artificial Intelligence) AI art (...) contest, digital choreography competition, and speech AI innovation challenge are held for the students to improve their skill development. The questionnaires are taken to measure the student's technological skills development based on before and after competitions. The SPSS software version 28 is used to statistically analyze the data with multiple regression analysis and pearson correlation analysis. The results showed that the integration of technological tools and platforms significantly improved college student's technical proficiency, creativity, and collaborative skills in fine arts. Students exhibited notable enhancements in skill development and engagement with advanced technologies post-competition. Technology significantly enhances fine arts education by improving students' artistic skills and collaboration. Embracing digital tools offers valuable opportunities to enrich curricula and foster innovation. (shrink)

Imagination as the key to the creative process is one of the key components of design education that affects students' problem-solving skills and innovation. The purpose of this research is to determine the impact of creative imagination on the academic performance of students enrolled in design courses. It intends to obtain a measure of the way creative imagination affects or influences students’ performance as well as their achievements. However, there is a lack of understanding regarding the correlation between creativity and (...) performance among university students. The study collected data on creative imagination and academic performance through a survey of 350 participants drawn from five universities. Self-administered questionnaires were distributed to 350 participants, of which 320 were 176 males and 144 females. The research included quantitative techniques such as linear regression, correlation analysis, and structural equation modeling-partial least squares (SEM-PLS). Further, the result of the analysis showed that imagination level has the most significant impact on academic outcomes in design programs with a strong positive effect (β=0.35, p-value = 0.04). Higher creative imagination scores had a positive correlation with grades and students' involvement. This underscores the importance of forecasting to enhance students’ performance and engagement in design programs. The strategies used in education should be utilized to supplement creativity to raise the performance and satisfaction of students. (shrink)

This article presents a novel control approach, hybrid neuro-fuzzy, for the load frequency control of a four-area interconnected power system. The advantage of this controller is that it can handle nonlinearities, and at the same time, it is faster than other existing controllers. The effectiveness of the proposed controller in increasing the damping of local and inter-area modes of oscillation is demonstrated in a four-area interconnected power system. Areas 1 and 2 consist of a thermal reheat power plant, whereas Areas (...) 3 and 4 consist of a hydropower plant. Performance evaluation is carried out by using fuzzy, artificial neural network, adaptive neuro-fuzzy inference system, and conventional proportional and integral control approaches. Four different models with different controllers are developed and simulated, and performance evaluations are carried out with said controllers. The result shows that the intelligent HNF controller has improved dynamic response and is at the same time faster than ANN, fuzzy, and conventional PI controllers. (shrink)

The vital data about the electrical activities of the brain are carried by the electroencephalography signals. The recordings of the electrical activity of brain neurons in a rhythmic and spontaneous manner from the scalp surface are measured by EEG. One of the most important aspects in the field of neuroscience and neural engineering is EEG signal analysis, as it aids significantly in dealing with the commercial applications as well. To uncover the highly useful information for neural classification activities, EEG studies (...) incorporated with machine learning provide good results. In this study, a Fusion Hybrid Model with Singular Value Decomposition Based Estimation of Robust Parameters is proposed for efficient feature extraction of the biosignals and to understand the essential information it has for analyzing the brain functionality. The essential features in terms of parameter components are extracted using the developed hybrid model, and a specialized hybrid swarm technique called Hybrid Differential Particle Artificial Bee algorithm is proposed for feature selection. To make the EEG more practical and to be used in a plethora of applications, the robust classification of these signals is necessary thereby relying less on the trained professionals. Therefore, the classification is done initially using the proposed Zero Inflated Poisson Mixture Regression Model and then it is also classified with a deep learning methodology, and the results are compared with other standard machine learning techniques. This proposed flow of methodology is validated on a few standard Biosignal datasets, and finally, a good classification accuracy of 98.79% is obtained for epileptic dataset and 98.35% is obtained for schizophrenia dataset. (shrink)

Lab VIEW is frameworks designing programming for applications that require test, estimation, and control with fast access to equipment and information experiences. Lab VIEW By National Instruments is very good graphical programming tool for Engineers. Lab VIEW can be interface may peripheral devices for getting data from surrounding, different type of sensors and other hardware. In this Paper we are showing interfacing of PLC to Lab VIEW software for our application.

Objectives During the COVID-19 pandemic, healthcare resources including staff were diverted from paediatric services to support COVID-positive adult patients. Hospital visiting restrictions and reductions in face-to-face paediatric care were also enforced. We investigated the impact of service changes during the first wave of the pandemic on children and young people (CYP), to inform recommendations for maintaining their care during future pandemics. Design A multi-centre service evaluation was performed through a survey of consultant paediatricians working within the North Thames Paediatric Network, (...) a group of paediatric services in London. We investigated six areas: redeployment, visiting restrictions, patient safety, vulnerable children, virtual care and ethical issues. Results Survey responses were received from 47 paediatricians across six National Health Service Trusts. Children's right to health was largely believed to be compromised by the prioritisation of adults during the pandemic (81%; n = 33). Sub-optimal paediatric care due to redeployment (61%; n = 28) and the impact of visiting restrictions on CYP's mental health (79%; n = 37) were reported. Decreased hospital attendances of CYP were associated with parental fear of COVID-19 infection-risks (96%; n = 45) and government ‘stay at home’ advice (89%; n = 42). Reductions in face-to-face care were noted to have disadvantaged those with complex needs, disabilities and safeguarding concerns. Conclusion Consultant paediatricians perceived that paediatric care was compromised during the first wave of the pandemic, resulting in harm to children. This harm must be minimised in subsequent pandemics. Recommendations for future practice which were developed from our findings are provided, including maintaining face-to-face care for vulnerable children. (shrink)

The paper presents the outlines of an ontology of plans and guidelines, which is then used as the basis for a framework for implementing guideline-based systems for the management of workflow in health care organizations. The framework has a number of special features, above all in that it enables us to represent in formal terms assignments of work-items both to individuals and to teams and to tailor guideline to specific contexts of application in health care organizations. It is designed also (...) to enable implementations to do justice to the fact that the processes carried out in health care organizations may deviate in different ways from the norms set forth in corresponding guideline definitions. This means that implementations built in conformity with the framework will be marked by a type of flexibility that might make them more likely to be accepted by healthcare professionals than are standard guideline-based management systems. (shrink)

Ecology, Culture And Philosophy Is An Important Collection Of Essays That Illustrate The Continuing Validity And Relevance Of The System Of Metaphysics Developed By Basanta Kumar Mallik, One Of The Great 20Th Century Indian Thinkers. One Of The Contributors Unravels Issues In Ecology, And Discusses How Radically New Ways Of Thinking Can Offer A Way Out Of The Crisis Of The Modern Industrial System Which Threatens The Survival Of The Human Species. Another Study Attempts To See The Conjection Of (...) Musical Development And Cultural Values In Relation To Both Tradition And Modern Human Experience. Yet Another Essay Examines The Domain Of Philosophical Enquiry And Develops A New Perspective On The Relationship Between Ideas And Patterns Of Thought. Central Of Mallik S Thinking Were Problems Of Peace And Human Survival. This Collection Focuses On The New Weltanschauung Of Mallik And Makes His Philosophical Work Accessible To The General Reader By Providing Explications Of Key Concepts. Drawing On Mallik S Wider Vision Of A More Humane Future, The Contributors Consider Fresh And More Harmonious Ways Of Thinking About How We Can Relate To Our Environment, And How We Can Creatively Overcome The Threats To Cultural Values. The Result Is A Volume Which Makes Us See Our Current Crisis Against A Horizon Of Possibilities Ensuring Human Survival If New Ways Of Thinking Can Be Come Prevalent. (shrink)

Purpose Digital transformation leverages digital technologies to change current processes and introduce new processes in any organisation’s business model, customer/user experience and operational processes. Artificial intelligence plays a significant role in achieving DT. As DT is touching each sphere of humanity, AI led DT is raising many fundamental questions. These questions raise concerns for the systems deployed, how they should behave, what risks they carry, the monitoring and evaluation control we have in hand, etc. These issues call for the need (...) to integrate ethics in AI led DT. The purpose of this study is to develop an “AI led ethical digital transformation framework”. Design/methodology/approach Based on the literature survey, various existing business ethics decision-making models were synthesised. The authors mapped essential characteristics such as intensity and the individual, organisational and opportunity factors of ethics models with the proposed AI led ethical DT. The DT framework is evaluated using a thematic analysis of 23 expert interviews with relevant AI ethics personas from industry and society. The qualitative data of the interviews and opinion data has been analysed using MAXQDA software. Findings The authors have explored how AI can drive the ethical DT framework and have identified the core constituents of developing an AI led ethical DT framework. Backed by established ethical theories, the paper presents how DT pillars are related and sequenced to ethical factors. This research provides the potential to examine theoretically sequenced ethical factors with practical DT pillars. Originality/value The study establishes deduced and induced ethical value codes based on thematic analysis to develop guidelines for the pursuit of ethical DT. The authors identify four unique induced themes, namely, corporate social responsibility, perceived value, standard benchmarking and learning willingness. The comprehensive findings of this research, supported by a robust theoretical background, have substantial implications for academic research and corporate applicability. The proposed AI led ethical DT framework is unique and can be used for integrated social, technological and economic ethical research. (shrink)

Neuroimaging is critical in the diagnosis and treatment of brain cancers; however, the first detection of tumors is a challenge. Detection techniques like image segmentation are heavily reliant on the segmented image’s resolution. Magnetic resonance imaging tumor segmentation has emerged as a new study area in the medical imaging field. This spongy and delicate mass of tissue is the brain. Stable conditions allow for patterns to enter and interact with each other. To put it simply, a tumor is a mass (...) of tissue that has grown unchecked by the natural mechanisms that keep it under control. When cells divide uncontrollably, they create a cancerous tumor. Brain tumors can be detected and segmented using a variety of methods. A new method for detecting brain tumors using MRI images is presented in this research. An innovative Woelfel filter is used for enhancement, and morphological segmentation approaches combined with anisotropic diffusion are used for segmentation. Segmentation of brain tumors can be accomplished using thresholding and morphological techniques, which are both effective. The tumor will be located and identified using morphological image processing. Image denoising refers to the process of removing artefacts such as noise and aliasing from digital images. Here MATLAB programming language is utilised as it incorporates all the toolboxes required for the application involved in the work. (shrink)

Event segmentation theory posits that people segment continuous experience into discrete events and that event boundaries occur when there are large transient increases in prediction error. Here, we set out to test this theory in the context of story listening, by using a deep learning language model (GPT‐2) to compute the predicted probability distribution of the next word, at each point in the story. For three stories, we used the probability distributions generated by GPT‐2 to compute the time series of (...) prediction error. We also asked participants to listen to these stories while marking event boundaries. We used regression models to relate the GPT‐2 measures to the human segmentation data. We found that event boundaries are associated with transient increases in Bayesian surprise but not with a simpler measure of prediction error (surprisal) that tracks, for each word in the story, how strongly that word was predicted at the previous time point. These results support the hypothesis that prediction error serves as a control mechanism governing event segmentation and point to important differences between operational definitions of prediction error. (shrink)

Recent research highlights the relationship between perceived brand ethicality (PBE), consumer purchase intention, and the consumer–brand relationship. Existing empirical studies offer mixed findings on whether these three relate positively, negatively, or not at all. Moreover, their relationships have not been the primary focus of existing meta-analytic reviews. Therefore, we conducted a meta-analysis to provide an empirical consensus to this debate by studying the magnitude of the association between PBE and consumer responses (purchase intention, brand trust, and brand loyalty). Moreover, we (...) examined the moderating effects of self-accountability and brand experience to expand our understanding of this relationship. After a thorough literature review from major databases and cross-referencing of the relevant articles, we selected 31 peer-reviewed articles for this meta-analysis. The results reveal that consumer response to PBE positively influences attitude formation towards the brand and purchase intentions. Additionally, moderation analyses reveal the crucial roles of self-accountability and brand experience in influencing the effects of PBE on consumer–brand relationships and purchase intention. Crucial theoretical and practical implications are discussed regarding these relationships, followed by limitations and future research directions. (shrink)

The paper presents the outlines of an ontology of plans and guidelines, which is then used as the basis for a framework for implementing guideline-based systems for the management of workflow in health care organizations. The framework has a number of special features, above all in that it enables us to represent in formal terms assignments of work-items both to individuals and to teams and to tailor guideline to specific contexts of application in health care organizations. It is designed also (...) to enable implementations to do justice to the fact that the processes carried out in health care organizations may deviate in different ways from the norms set forth in corresponding guideline definitions. This means that implementations built in conformity with the framework will be marked by a type of flexibility that might make them more likely to be accepted by healthcare professionals than are standard guideline-based management systems. (shrink)

Human opacity is the intrinsic quality of unknowabil- ity of human beings with respect to machines. The descriptive rela- tionship between humans and machines, which captures how much information one can gather about the other, can be explicated using an opacity-transparency relationship. This relationship allows us to describe and normatively evaluate a spectrum of opacity where humans and machines may be either opaque or transparent. In this paper, we argue that the advent of Affective Computing (AC) has begun to shift (...) the ideal position of humans on this spectrum towards greater transparency, while much of this technology is shifting towards opacity. We explore the implications of this shift with regard to the affective information of humans and how the threat to human opacity by AC systems has various adverse repercussions, such as infringement of one’s autonomy, deception, manipulation, and increased anxiety. There are also distributive consequences that expose vulnerable groups to unjustified burdens and reduce them to mere profiles. We further provide an assessment of current AC technology, which follows the descriptive relationship between humans and machines from the lens of opacity and transparency. Finally, we foresee and address three possible objections to our claims. These are the beneficence of AC systems, their relation to privacy, and their restrictive capacity to capture human affects. Through these arguments, the paper aims to bring attention to the ontological relationship between humans and machines from the perspective of opacity and transparency while emphasizing on the gravity of the ethical concerns raised by their threat to human opacity. (shrink)

Background and rationaleWhen deception is used, a conflict ensues between the need to use it to answer a research question scientifically whilst protecting the participants’ autonomy simultaneously...

Our research wants to show the emergence of the Act affects the status of the child laborers through economic, socio-cultural and psychosocial factors. Progress is noted in spite of the issues that still must be addressed to protect children.The new Child Labor Act can address most of the problems of children. The Act is successful in halting the children from coming to the urban areas.The new Child Labor Act is a way to prohibit the engagement of children and to make (...) the necessary provisions for their health, safety and facilities. The Act tries to make the parents aware that their children should go to school up to grade 10, to make the factory owner aware not to employ children, to make the local government aware of the need to stop the migration of children from rural villages to towns. (shrink)

Prior work shows that the possibility of action to an object facilitates attentional deployment. We sought to investigate the neural mechanisms underlying this modulation of attention by examining ERPs to target objects that were either congruently or incongruently gripped for their use in the presence of a congruently or incongruently gripped distractor. Participants responded to the presence or absence of a target object matching a preceding action word with a distractor object presented in the opposite location. Participants were faster in (...) responding to congruently gripped targets compared to incongruently gripped targets. There was a reduced N2pc potential when the target was congruently gripped, and the distractor was incongruently gripped compared to the conditions where targets were incongruently gripped or when the distractor, as well as target, was congruently gripped. The N2pc results indicate that target selection is easier when action information is congruent with an object’s use. (shrink)

Design and Development of software controlled stand-alone instruments have been identified as the most vital component of national and international programs on earthquake hazard and risk management. For in depth investigation and studies, the development of precise instruments designed around computer is emerging very fast. Interfacing of personal computer with seismic instrument is an important design task. A design technique based on minimum hardware has been worked out around the parallel printer interface of computer. Hardware and Software for this purpose (...) has been designed to make the instrument interact with computer through parallel port interface. Incorporation of software for seismic signal analysis has been considered the extremely powerful tool to view and analyze seismic data collected by seismic instruments. In this paper efforts have been made to describe the various design aspects for interfacing of Seismic Data Recorder and Analyser to computer through parallel printer port and computation steps incorporated in the software tool for seismic data analysis. (shrink)

This article featuring India constitutes one of five articles in a collection of essays on local capacity-building in research ethics by graduates from the University of Toronto’s Joint Centre for Bioethics MHSc in Bioethics, International Stream program funded by the Fogarty International Center for Advanced Study in the Health Sciences. Research ethics is a growing area of work and interest in India. Ethics review remains the weakest component in the mechanism of good clinical practice, and there is a severe dearth (...) of professionals trained in ethics who can provide leadership. Although the Indian Good Clinical Practice Guidelines, the Indian Medical Council Act, and the Drugs and Cosmetics Act require that the Indian Council of Medical Research’s ethical guidelines be followed as a mandatory requirement for physicians who conduct research, there is a pervasive lack of awareness of basic requirements guiding the ethical conduct of research. There is a great need to strengthen India’s research ethics capacity and regulatory framework for research. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Pains And Gains Of Rural Health Practice:Lessons Books Never TaughtSridevi Seetharam, Bindu Balasubramaniam, G. S. Kumar, and M. R. SeetharamHow The Journey BeganIn the early 1980s, as fresh graduates from Mysore Medical College in southern India, we were brimming with a zeal to "cure the sick" and "change the world." We had an ideal of evidence-based, rational, ethical and equitable health care and set out to serve rural (...) and under-served communities which included displaced forest-based tribes. In the initial years, with the naivety of the inexperienced, we believed that by correcting the dehydration of the doe-eyed six-year-old Mare and giving her a free course of antibiotics, we had made health care accessible to her. Much to our dismay, within a month, Mare was back in the outpatient clinic, with diarrhea all over again and looking thinner than ever. We realized that it was a losing battle to keep her healthy as long as she continued to drink water from the same contaminated stream, live in unhygienic surroundings, and eat only the paltry meals that her family could barely afford. We gradually began to connect these living examples to what our preventive medicine text books had stressed all along—there are many social determinants of health which, if left unaddressed, do not permit realization of the vision of health for all.Such instances continually pulled us out of the hospital building and into the villages and tribal hamlets. We discovered that our textbook of Preventive and Social Medicine (Park, 1986) (P&SM as we used to call it), was our most valuable possession. [End Page 106] We devoured the descriptions of national health programs, sanitation procedures, water treatment protocols, and maintenance of cold chain for vaccines with a completely new perspective. We discovered the Manual of Basic Techniques for a Health Laboratory, (World Health Organization, 1980) detailing how to set up a laboratory with low cost, reliable and simple methods. We learned to drive a jeep to haul supplies and patients. To step up the level of clinical care, some of us pursued post-graduate programs and equipped ourselves to provide more specialized care too. It has been over two decades since we embarked on this journey. We have encountered a variety of perplexing dilemmas with no clear solutions. We have sometimes been compelled to adopt health practices that were not really evidence-based, seemingly irrational, inequitable and even downright unethical. This narration describes only a few of our thousands of cases, and hopefully conveys our periods of self-doubt, despair and hope, as well as, the challenges we face to reconcile with the difficult choices we are forced to make every day.Unforeseen Challenges in Saving Mothers and ChildrenHigh maternal and child mortality rates have been one of the most disturbing aspects of the health care scenario in rural India. To ensure immunization of all children, health workers with vaccine carriers go from village to village and hamlet to hamlet to reach those infants that would have missed visits to the immunization clinics. Our grass-root workers facilitate these visits by identifying households with such children. Occasionally, they encounter families who spirit away the infant into the adjoining woods as soon as the health worker is seen approaching, and blandly proclaim that the child is not at home. Despite reassurance and counseling about the safety and necessity of the vaccine, their apprehensions and misconceptions are insurmountable. What is the extent of the responsibility of the health worker? Is it ethical to hunt down the child and force the administration of the vaccine in view of the public health gains, besides the child's welfare?A few months ago, a pre-term neonate was admitted to our hospital, but worsened and needed referral to a higher centre in the city. The family refused to go despite repeated persuasion and detailed explanation about the technical limitations of care at our centre. From the family's perspective, the variety of social, cultural, and monetary challenges they would face in the city were themselves limitations for care. We were compelled to retain the baby and continue giving the best care we could.Two... (shrink)

Irregularity may occur on the earth’s surface in the form of mountains due to the imperfection of the earth’s crust. To explore the influence of horizontally polarized shear waves on mountains, we considered the fluid-saturated porous medium over an orthotropic semi-infinite medium with rigid and soft mountain surfaces for wave propagation. The mountain surface is defined mathematically as a periodic function of the time domain. The physical interpretation of materials’ structure has been explained in rectangular Cartesian coordinate system originated at (...) the contact interface of layer and half-space. The displacement of the mountains has been derived by solving energy equations analytically. The influence of rigid and soft mountain surfaces on the phase velocity of shear waves has been demonstrated graphically. (shrink)

Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality. The ability of deep neural networks to learn a sensible representation of words is one of the major reasons for this improvement. Despite machine translation using deep neural architecture is showing state-of-the-art results in translating European languages, we cannot directly apply these algorithms in Indian languages mainly because of two reasons: unavailability of the good corpus and (...) Indian languages are morphologically rich. In this paper, we propose a neural machine translation (NMT) system for four language pairs: English–Malayalam, English–Hindi, English–Tamil, and English–Punjabi. We also collected sentences from different sources and cleaned them to make four parallel corpora for each of the language pairs, and then used them to model the translation system. The encoder network in the NMT architecture was designed with long short-term memory (LSTM) networks and bi-directional recurrent neural networks (Bi-RNN). Evaluation of the obtained models was performed both automatically and manually. For automatic evaluation, the bilingual evaluation understudy (BLEU) score was used, and for manual evaluation, three metrics such as adequacy, fluency, and overall ranking were used. Analysis of the results showed the presence of lengthy sentences in English–Malayalam, and the English–Hindi corpus affected the translation. Attention mechanism was employed with a view to addressing the problem of translating lengthy sentences (sentences contain more than 50 words), and the system was able to perceive long-term contexts in the sentences. (shrink)