Religion of the Rabaris of the Rajasthan, India; a study.

In this paper a new technique of dual image watermarking is proposed for protection of ownership rights which utilizes salient properties of homomorphic transform (HT), discrete wavelet transform (DWT), singular value decomposition (SVD) and Arnold transform (AT). In embedding algorithm host image is splitted into reflectance and illumination components using HT, DWT is further applied to the reflectance component resulting in frequency subbands (HL and LH) which are transformed by SVD. Two image watermarks are selected for embedding process whereas security (...) of proposed algorithm is strengthen by performing scrambling of second watermark through AT. Both watermarks are transformed with DWT and SVD. Singular values (SVs) of both transformed watermark are embedded into SVs of host image. Simulation results clearly signifies for high robustness and imperceptibility of proposed algorithm as it is examined under various attacks. Superiority of proposed technique is illustrated by comparing it with other reported methods. (shrink)

Text document classification and clustering is an important learning task which fits to both data mining and machine learning areas. The learning task throws several challenges when it is required to process high dimensional text documents. Word distribution in text documents plays a very key role in learning process. Research related to high dimensional text document classification and clustering is usually limited to application of traditional distance functions and most of the research contributions in the existing literature did not consider (...) the word distribution in documents. In this research, we propose a novel similarity function for feature pattern clustering and high dimensional text classification. The similarity function proposed is used to carry supervised learning based dimensionality reduction. The important feature of this work is that the word distribution before and after dimensionality reduction is the same. Experiment results prove the proposed approach achieves dimensionality reduction, retains the word distribution and obtained better classification accuracies compared to other measures. (shrink)

Organizational operations have been modified by using the rise of digital innovation, which has increased consumer interaction, accelerated efficiency, and stimulated overall growth. But obstacles like converting organizational adoption charges and a quickly evolving era would possibly make it more difficult to generalize effects across of different sectors and ancient intervals. To overcome these constraints, a thorough examination of the impact of digital innovation on organizational growth is carried out in this study. This study investigates the connection among Digital infrastructure (...) (DI), Digital Innovation practices (DIP), Adoption of advanced digital technologies (ADT), Leadership support (LS), Organizational growth (OG), and Employee digital capabilities (EDS) utilizing Structural Equation Modeling (SEM) and CFA test. SEM is used to evaluate the causal pathways between constructs and the connections between latent variables and their indicators. CFA is a method used to validate the dimension model by examining the relationships between observed indicators and their underlying constructs. A systematic questionnaire with a Likert scale rating was used to collect data from 600 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that DI, LS, and ADT are positively connected to the DTP, and OG, between digital innovations on organizational growth. (β = 0.58,0.54,0.60 and 0.62,p < 0.05), providing well support for hypotheses 1, 2, 4, and 5. The SEM and CFA confirm the robustness of these relationships. The findings underscore the critical role of digital infrastructure and leadership in driving effective digital practices and fostering growth. (shrink)

With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. Other (...) known issues include vocabulary sizes per class, data source, method of creation, and baseline for the human performance level. This paper focuses on the application of personalized mental health interventions using Natural Language Processing (NLP) and attention-based in-depth entropy active learning. The objective of this research is to increase the trainable instances using a semantic clustering mechanism. For this purpose, we propose a method based on synonym expansion by semantic vectors. Semantic vectors based on semantic information derived from the context in which it appears are clustered. The resulting similarity metrics help to select the subset of unlabeled text by using semantic information. The proposed method separates unlabeled text and includes it in the next active learning mechanism cycle. Our method updates model training by using the new training points. The cycle continues until it reaches an optimal solution, and it converts all the unlabeled text into the training set. Our in-depth experimental results show that the synonym expansion semantic vectors help enhance training accuracy while not harming the results. The bidirectional Long Short-Term Memory (LSTM) architecture with an attention mechanism achieved 0.85 Receiver Operating Characteristic (ROC curve) on the blind test set. The learned embedding is then used to visualize the activated word's contribution to each symptom and find the psychiatrist's qualitative agreement. Our method improves the detection rate of depression symptoms from online forum text using the unlabeled forum texts. (shrink)

Education is presently required to create inclusive, supportive, and validating environments for education and experiences, while educational organizations continue to maintain students from many different kinds of cultural and socially diverse backgrounds. This research investigates how students engage and collaborate with diverse cultures and social environments to identify the key features influencing their social relationships and learning outcomes. To determine the possibilities and difficulties that students experience in a varied educational environment and make suggestions for the enhancements and assessment techniques (...) for fostering a multicultural and diverse classroom. In this research, the details gathered from 350 students, and utilize 15 questionnaires related to cultural and social diversity in education that were developed, based on five variables, such as students attitudes towards diversity (SATD), impact on the learning environment (ILE), cultural awareness (CA), perception of cultural and social diversity (PCSD), and social interactions (SI). The Wilcoxon-Mann-Whitney test and inferential statistics analysis methods are evaluated through the SPSS software. From both analyses, the variable PCSD performance is higher than other four variables in the field of student perception of social and cultural diversity in education. (shrink)

... Achievement motivation in Gita 99-125 characteristics of achievement- oriented individual 100-103 its significance for Indian management 108-109 Aquinas ...

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)

COVID-19 forced lockdown in India, leading to the loss of job, crisis of food, and other financial catastrophes that led to the exodus migration of internal migrant workers, operating in the private sector, back to their homes. Unavailability of transport facilities led to an inflicted need to walk back to homes barefooted without lack of any other crucial resources on the way. The woeful state of internal migrant workers walking back, with all their stuff on their back, holding their children, (...) was trending on social media worldwide. Their problem continued even after reaching home, including misbehavior of villagers, indifferent mannerism of family members toward them, inability to fulfill family responsibility, and financial crisis, which led to stress, fear, and trauma for these internal migrant workers. The present paper aimed to assess the idiosyncratic stressors of internal migrant workers throughout the pandemic era and their responses toward those problems, which helped them cope with it. In-depth semistructured telephonic interviews were conducted with 25 internal migrant workers who were working in different cities in India before lockdown. The analyses revealed that multiple stressors include financial crisis, unavailability of food, inability to continue education, inability to pay house rent, lack of support from neighbors and family, and other psychological stressors that affected them. However, they also tried multiple strategies to deal with the problems, including a cognitive appraisal of the problem and making oneself psychologically competent to deal with the situation. Social support of family and friends played a vital role in enhancing hardiness and increasing the level of happiness at scarce times. At the same time, some of them could not deal with stressors and opted for psychiatric help to manage the physical symptoms of stress. (shrink)

. Software testing is a very important phase in the development of software. Testing includes the generation of test cases which, if done manually, is time consuming. To automate this process and generate optimal test cases, several meta-heuristic techniques have been developed. These approaches include genetic algorithm, cuckoo search, tabu search, intelligent water drop, etc. This paper presents an effective approach for test data generation using the cuckoo search and tabu search algorithms. It combines the cuckoo algorithm's strength of converging (...) to the solution in minimal time along with the tabu mechanism of backtracking from local optima by Lévy flight. The experimental results show that the algorithm is effective in generating test cases optimally and its performance is better than various earlier proposed approaches. (shrink)

Gluten ataxia is a rare immune-mediated neurological disorder caused by the ingestion of gluten. The diagnosis is not straightforward as antibodies are present in only up to 38% of patients, but often at lower titers. The symptoms of ataxia may be mild at the onset but lead to permanent damage if remain untreated. It is characterized by damage to the cerebellum however, the pathophysiology of the disease is not clearly understood. The present study investigated the neurochemical profile of vermis and (...) right cerebellum and structural changes in various brain regions of patients with gluten ataxia and compared it with healthy controls. Volumetric 3-D T1 and T1-weighted magnetic resonance imaging in the three planes of the whole brain and single-voxel 1H- magnetic resonance spectroscopy of the vermis and right cerebellum were acquired on 3 T human MR scanner. The metabolite concentrations were estimated using LC Model while brain volumes were estimated using the online tool volBrain pipeline and CERES and corrected for partial volumes. The levels of neuro-metabolites were found to be significantly lower in vermis, while N-acetyl aspartate + N-acetyl aspartate glutamate and glycerophosphocholine + phosphocholine was lower in cerebellum regions in the patients with gluten ataxia compared to healthy controls. A significant reduction in the white matter of ; reduction in the volumes of cerebellum lobe and thalamus while lateral ventricles were increased in the patients with gluten ataxia compared to healthy controls. The reduced neuronal metabolites along with structural changes in the brain suggested neuronal degeneration in the patients with gluten ataxia. Our preliminary findings may be useful in understanding the gluten-induced cerebral damage and indicated that MRI and MRS may serve as a non-invasive useful tool in the early diagnosis, thereby enabling better management of these patients. (shrink)

The archaeological record is very limited and its analysis has been contentious. Hence, molecular biologists have shifted their attention to molecular dating techniques. Recently on April 2013, the prestigious Cell Press Journal Current Biology published an article (Fu et al. 2013) entitled “A Revised Timescale for Human Evolution Based on Ancient Mitochondrial Genomes”. This paper has twenty authors and they are researchers from the world’s top institutes like Max Planck Institute, Harvard, etc. Respected authors of this paper have emphatically accepted (...) that the fossil record is inadequate and unreliable. These statements clearly substantiate that now biologists are agreeing that fossil records do not provide any significant evidence at all for conventional evolution theory. Despite the well-recorded fact of the continual grand propaganda of Darwinism based on fossil evidence for more than 150 years, in recent times biologists are surprisingly coming up with such statements, based on their confidence that evolution can be explained purely by the genealogical/genomic record provided by modern molecular biology. Still many respected journals (for example the article in Nature, Retallack, 2013) continue to publish articles on fossil evidence to support Darwinian evolution. These incoherently diverse claims prove that Darwinists are struggling with unscientific ideological approaches to explain biodiversity. Darwinian evolutionary theory is not only the basis of modern biology, but also acts as the guiding principle of science and intellectual reasoning for modern civilization. Hence, a scientific understanding of the breakdown of the Darwinian theory of objective evolution is very important for overcoming the traditional scientific temper of mechanistic intellectualism that characterizes this ideology. In my article “21st Century Biology Refutes Darwinian Abiology” (published in two parts in November and December 2012 issues of The Harmonizer: www.mahaprabhu.net/satsanga/harmonizer) it was noted that several recent findings challenge the credibility that random mutations and natural selection can provide a valid basis for justifying the naturalistic evolution of species. The present article summarizes the problems associated with the fossil record and dating techniques, and its implication on the neo-Darwinian mechanistic misconception of biological life as mere molecular chemistry or abiology. An alternative approach based on the Vedāntic view for explaining biodiversity in the light of 21st century biology is also discussed in the end of the article. (shrink)

In this thirteenth book of scilogs – one may find topics on Neutrosophy, Plithogeny, Physics, Mathematics, Philosophy – email messages to research colleagues, or replies, notes, comments, remarks about authors, articles, or books, spontaneous ideas, and so on. It presents new types of soft sets and new types of topologies. -/- Exchanging ideas with Mohammad Abobala, Ishfaq Ahmad, Ibrahim M. Almanjahie, Fatimah Alshahrani, Nizar Altounji, Muhammad Aslam, Said Broumi, Victor Christianto, R. Diksh, Feng Liu, Frank Julian Gelli, Erick Gonzalez Caballero, (...) Riad Hamido, Yaser Al-Hasan, Ahmed Hatip, Yasin Karmouta, Nivetha Martin, Preda Mihăilescu, V. Lakshmana Gomathi Nayagam, Ze Carlos Tiago de Oliveira, Alexey Platonov, Andrei Pogany, Shakti Prasad, Ranulfo Paiva Barbosa (Sobrinho), Dmitri Rabounski, Ackbar Rezaei, Constantin Sandu, A. Saraswathi, Usman Shahzad, Gocho V. Sharlanov, Stefan Spaarmann, Michael Voskoglou, Vinay Kumar Yadav, Tomasz Witczak, William H. Woodall, Mircea Zărnescu, Mohamed Bisher Zeina (in order of reference in the book). (shrink)

Concept of God according to Nyaya and Viśiṣṭādvaita philosophy; a study.

When the teachers’ training practicum was paralyzed during the COVID-19 pandemic, preservice teachers in Malaysia were required to adapt to the online practicum. This qualitative case study was conducted with 20 preservice teachers to investigate their online teaching practicum experiences. The study drew on the Engagement Theory and Disaster Management Cycle framework to further suggest teaching approaches that might be effective during a tragic situation. Data were collected from interviews and video observations, and analyzed thematically. The findings contribute to the (...) understanding of how preservice teachers learn to modify their teaching practices during the challenging context. A number of themes related to positive experience were identified: higher confidence level, improved interaction, engagement in active learning, and adapting to online syllabus. On the other hand, the negative experience revolves around the problem with Internet connection. It is hoped that the findings of this study will encourage preservice teachers to consider hybrid approaches and online teaching in the future. (shrink)

Many physicians are involved in relationships that create tension between a physician's duty to work in her patients’ best interest at all times and her financial arrangement with a third party, most often a pharmaceutical manufacturer, whose primary goal is maximizing sales or profit. Despite the prevalence of this threat, in the United States and globally, the most common reaction to conflicts of interest in medicine is timid acceptance. There are few calls for conflicts of interest to be banned, and, (...) to our knowledge, no one calls for conflicted practitioners to be reprimanded. Contrast our attitudes in medicine with public attitudes toward financial conflicts among government employees. When enforcement of rules against conflict of interest slackens in the public sector, news organizations investigate and publish their criticism. Yet even when doctors are quoted in the media promoting specific drugs, their personal financial ties to the drug maker are rarely mentioned. Policies for governmental employees are strict, condemnation is strong, and criminal statutes exist (allowing for corruption charges). Yet the evidence that conflict is problematic is, if anything, stronger in medicine than in the public sector. Policies against conflicts of interest in medicine should be at least as strong as those already existing in the public sector. (shrink)

The statistical properties of a single quantum object and an ensemble of independent such objects are considered in detail for two-level systems. Computer simulations of dynamic zero-point quantum fluctuations for a single quantum object are reported and compared with analytic solutions for the ensemble case.

Description: Knowledge, Truth and Realism is a collection of essays written by Pranab Kumar Sen over a period of ten years (from 1989 to 1998). The essays deal mainly with issues in Philosophy of Language and Theory of Knowledge from the standpoint of analytical philosophy. They bring forth Sen's realist philosophical position and his attempt to weave together specific questions concerning meaning, reference, truth, knowledge and objectivity in this realistic framework. By responding to and by making use of the (...) ideas of Philosophers like, Gottlob Frege, Ludwig Wittgenstein, W.V. Quine, Donald Davidson, Peter Strawson, H.P. Grice, Michael Dummett, John McDowell, Sen develops his distinctive theory of meaning and understanding along with his theory of knowledge/knowing. In doing so he also addresses the larger issue regarding the nature of philosophical analysis. The essays are a testimony to the painstaking and lifelong engagement of the Philosopher with some of the central and contemporary debates in analytical philosophy. (shrink)

In the realm of computational intelligence, the age-old adage, "not everything is black and white," has never been more pertinent. Through the lens of fuzzy logic and neutrosophic systems, Applications of Fuzzy Theory in Applied Sciences and Computer Applications, unravels the complex tapestry of uncertainty, imprecision, and subjectivity in real-world scenarios. This book stands as a testament to the power of fuzzy systems in bridging the gap between theoretical concepts and their pragmatic applications. Chapter one introduces readers to the ever-evolving (...) realm of biometrics, specifically focusing on face recognition. The complexities of human features demand a system that can navigate the nuances, and fuzzy pattern recognition presents a promising solution. Diving deeper into the world of health and demography in Chapter two, the authors explore the potential of fuzzy inference systems in mortality studies. By incorporating a degree of uncertainty, these systems offer a more holistic view of mortality trends and predictions. From biometrics and health, we shift our focus to the mathematical underpinnings of neutrosophic logic in chapter three. Here, the application of neutrosophy over digraphs is meticulously dissected, offering readers an intricate understanding of this unique conjunction. The subsequent chapters delve into various other fields, from reliability analysis and higher education to fisheries and supply chain management, demonstrating the pervasive influence of fuzzy and neutrosophic systems in diverse domains. Chapter t2welve concludes this enlightening journey with a life-altering application - the utilization of fuzzy logic in the detection and classification of brain tumors. Through this chapter, the profound impact of fuzzy systems on healthcare and diagnostics is underscored. This promises a transformative journey, ensuring that by the end, readers will look at uncertainty not as a challenge, but as an opportunity to explore, innovate, and excel. Whether you're a seasoned researcher, a professional seeking innovative solutions, or a curious student, this book has insights to offer to everyone. Welcome to a world where the lines are blurred, but the visions are clear. (shrink)