Large amount of data are exchanged and the internet is turning into twenty-first century Silk Road for data. Machine learning (ML) is the new area for the applications. The artificial intelligence (AI) is the field providing machines with intelligence. In the last decades, more developments have been made in the field of ML and deep learning. The technology and other advanced algorithms are implemented into more computational constrained devices. The online English test system based on ML breaks the shackles of (...) the traditional paper English test and improves the efficiency of the English test. At the same time, it also maintains the fairness of English test and improves the marking speed. In order to realize an online English test system based on ML and facilitate the assessment of students’ college English courses, this paper mainly adopts relevant research and design on the main functional modules, key technologies, and functional realization of the online English test. The brand-new powerful teaching software and the online examination system can help schools to conduct more systematic and scientific management. The conclusion shows that as brand-new and powerful teaching software, the online examination system can help schools to conduct more systematic and scientific management. (shrink)

In order to study the intelligent collection system of moving object trajectory data under cloud computing, information useful to passengers and taxi drivers is collected from massive trajectory data. This paper uses cloud computing technology, through clustering algorithm and density-based DBSCAN algorithm combined with Map Reduce programming model and design trajectory clustering algorithm. The results show that based on the 8-day data of 15,000 taxis in Shenzhen, the characteristic time period is determined. The passenger hot spot area is obtained by (...) clustering the passenger load points in each time period, which verifies the feasibility of the passenger load point recommendation application based on trajectory clustering. Therefore, in the absence of holidays, the number of passenger hotspots tends to be stable. It is reliable to perform cluster analysis. The recommended application has been demonstrated through experiments, and the implementation results show the rationality of the recommended application design and the feasibility of practice. (shrink)

This research looks at how mindfulness can contribute to business ethics education in MBA programmes. Mediation analysis was used to measure the influence of mindfulness on the participants’ performance in business ethics related courses and to quantify the influence of emotional intelligence which is a mediating variable. The effectiveness of mindfulness was evaluated using a Randomised Controlled Trial on participants of Executive MBA programmes. Half the participants were assigned to the intervention group and the other half placed on the waiting (...) list for the next programme and used as the control group. Statistical analysis revealed that the increase in performance in business ethics related courses through mindfulness as also direct increase through emotional intelligence were significant. 40% of the enhancement of performance came through emotional intelligence while the remaining 60% came directly from mindfulness. (shrink)

This research looks at how yoga can contribute to business ethics education in MBA programmes. The effectiveness of yoga practice in breathwork, movement, and meditation was evaluated using a Randomised Controlled Trial on participants of Executive MBA programmes. Half the participants (n = 125) were assigned to the intervention group and the other half placed on the waiting list for the next programme and used as the control group. Mediation analysis was used for statistical analysis to measure the influence of (...) yoga on the participants’ performance in business ethics related courses and to quantify the influence of mindfulness which is a mediating variable. Statistical analysis revealed that the increase in performance in business ethics related courses through mindfulness and as a direct increase through yoga were significant. Two thirds of the enhancement of performance came through mindfulness while the remaining one third came directly from yoga practice. (shrink)

Historiography in the context of Indic philosophy and mythology.

Similarity is one of the most important relations humans perceive, arguably subserving category learning and categorization, generalization and discrimination, judgment and decision making, and other cognitive functions. Researchers have proposed a wide range of representations and metrics that could be at play in similarity judgment, yet have not comprehensively compared the power of these representations and metrics for predicting similarity within and across different semantic categories. We performed such a comparison by pairing nine prominent vector semantic representations with seven established (...) similarity metrics that could operate on these representations, as well as supervised methods for dimensional weighting in the similarity function. This approach yields a factorial model structure with 126 distinct representation‐metric pairs, which we tested on a novel dataset of similarity judgments between pairs of cohyponymic words in eight categories. We found that cosine similarity and Pearson correlation were the overall best performing unweighted similarity functions, and that word vectors derived from free association norms often outperformed word vectors derived from text (including those specialized for similarity). Importantly, models that used human similarity judgments to learn category‐specific weights on dimensions yielded substantially better predictions than all unweighted approaches across all types of similarity functions and representations, although dimension weights did not generalize well across semantic categories, suggesting strong category context effects in similarity judgment. We discuss implications of these results for cognitive modeling and natural language processing, as well as for theories of the representations and metrics involved in similarity. (shrink)

ABSTRACTHigh-level judgement and decision-making tasks display dynamic bidirectional relationships in which salient cues determine how responses are evaluated by decision-makers, and these responses in turn determine the cues that are considered. In this paper, we propose Kosko's bidirectional associative memory network, a minimal two-layer recurrent neural network, as a mathematically tractable toy model with which the properties of existing bidirectional models, and the behavioural implications of these properties, can be studied. We first derive results regarding the dynamics of the BAM (...) network, and then show how these results can be used to provide an analytically sound explanation for a number of important findings, including coherence shifts in judgement and choice, anchoring effects, and reference point effects. (shrink)

Conventional medical training offers little help to students to resolve the ethical dilemmas they face as healthcare professionals. Public awareness of the ethical behavior of medical practitioners has been growing. Aim of this study was to assess knowledge of, practice in and attitudes of healthcare ethics among medical, dental and physiotherapy postgraduate students. A cross-sectional analysis based on a questionnaire was performed at a hospital and dental institution of the medical college. The present study included 60 postgraduate students. The questionnaire (...) on health care ethics is a 44-point self-administered standardized questionnaire that poses ethical dilemmas in 5 vignettes with closed-ended questions to test awareness, attitude and experience in the area of healthcare ethics. In the first half of the questionnaire, knowledge and attitude were assessed using 5 case scenarios representing ethical dilemmas and the participants answered the questions using the 5 point likert scale. The second half assessed the practice of Ethics in research and clinical practice. The expected time to fill each questionnaire was about 10–15 min. 62 questionnaires were distributed. 60 completed questionnaires were returned. The response rate was 96%. The mean age of the postgraduates was 26.23 ± 2.33. Among the participants 28 were male and 32 female. 20 completed questionnaires from each, medical, dental and physiotherapy postgraduate students were collected. The multiple group comparison showed that the difference in the knowledge scores were statistically significant between dental and physiotherapy and between medical and physiotherapy but no significant difference between medical and dental. Study suggests that abstract knowledge cannot be converted into practical knowledge automatically. There is a major lack of knowledge of the ethics of health care among graduate students. The postgraduate curriculum must include a good mix of both theoretical concepts and practical application of multidisciplinary healthcare ethics ethical principles and guidelines. (shrink)

"This book... is the English translation of the Hindi book Tattvārthasūtra with Upādhyāya (now Ailācārya) Srutasāgarji, as the principal commentator and edited by Dr Sudeep Jain in Hindi"--P. 3.