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)

Purpose Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform. Design/methodology/approach The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling. Findings The authors found eight emotions, (...) with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs. Practical implications The authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs. Originality/value This study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling. (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)

The mind maps symbols and the extra-symbolic relationships amongst them to specific meanings. When symbols of various levels are placed in a hierarchical ordering, one may look at such ordered classes as distinct worlds where one class represents objects and the other represents the objects’ corresponding meanings. However, such an explanation can only be partial because the number of potential levels in such an ordering is infinite and, therefore, it engenders problems of recursion and infinite regress. There are also logical (...) problems in the form of paradoxes that emanate from the consideration of sets of sets. Given that most prior studies only consider symbols that are classical objects in associative relationships, we argue that there is a need to also consider objects with shifting boundaries and quantum objects. We believe that objects belonging to each of these three classes—that is classical objects, objects with shifting boundaries, and quantum objects—play a role in the workings of the mind. (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.

The problem of generating generally capable agents is an important frontier in artificial intelligence (AI) research. Such agents may demonstrate open-ended, versatile, and diverse modes of expression, similar to humans. We interpret the work of Heintz & Scott-Phillips as a minimal sufficient set of socio-cognitive biases for the emergence of generally expressive AI, separate yet complementary to existing algorithms.

Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.

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)

Since time immemorial, Lord Jagannātha has been regarded as the principal deity of Odisha. The land of Odisha (former Kaliṅga) was a meeting place of the Hindus, Buddhists and Jainas. The Buddhists, Jainas, Vaiṣṇavas, the worshippers of Gaṇpati and others came to Purī and found the presence of their own lord in Jagannātha. However, of all religious creeds, Buddhism played an important role in the socio-cultural history of Odisha. During the period of emperor Aśoka, the Śabaras (a tribal people) of (...) Odisha were converted to Buddhism. Buddhist pillars were built in Purī, and Buddhist symbols were carved into it. Later on, the Śabaras started worshipping the Triratna as the three principal deities of the Jagannātha temple. In course of time, the three deities of the temple, viz. Jagannātha, Baḷabhadra and Subhadrā, have been accepted by the people of Odisha as the symbols of Buddha, Dharma and Sangha, respectively. As stated by Donaldson (Iconography of the Buddhist sculpture of Orissa, Abhinav Publications, Buldana, 2001), the eighteenth century Buddhist works such as “Jñānasidhi” and “Prajñodaya-Viniścaya-Siddhi,” the Buddha was named as Lord Jagannātha. By the twelfth century A.D., there had already developed a new culture in Odisha with Jagannātha as the center and the Lord came to be conceived as Ādi Buddha and Buddha as the ninth incarnation of Viṣṇu-Jagannātha. The place of Purī has been regarded as a place of Tāntric worship and Jagannātha as the Lord of the Tāntric cult. The Gundichā temple (where the Lord resided for 10 days during the Car festival) has been regarded as a Buddha Vihāra. The Buddhist principle of nonviolence and universal brotherhood found its best expression in the Jagannātha cult. (shrink)

Open peer commentary on the article “A Cybernetic Computational Model for Learning and Skill Acquisition” by Bernard Scott & Abhinav Bansal. Upshot: The target paper acknowledges some early computer modelling that I did in the years 1966–1968 when working with Pask at System Research Ltd in Richmond. In the commentary, I revisit the roots of this kind of modelling and follow the trajectory from then to today’s growing understanding of the dynamics of cognitive systems.

Open peer commentary on the article “A Cybernetic Computational Model for Learning and Skill Acquisition” by Bernard Scott & Abhinav Bansal. Upshot: The paper is an admirable example of first-order cybernetics. It does not appear to be developed as part of the constructivist paradigm and of second-order cybernetics. It neglects research as the context that generates problems of observation.

Open peer commentary on the article “A Cybernetic Computational Model for Learning and Skill Acquisition” by Bernard Scott & Abhinav Bansal. Upshot: Scott and Bansal’s assessment of the limitations of their work relies on a concept of simulation that I find problematic. It assumes that the ultimate goal of a model is a replication of the phenomena it applies, whereas a limited model produces only simulations. I argue that this position leads to unfortunate epistemological results, and it ends up (...) assigning an unduly exclusive role to the study of the biochemical substrate of cognition. (shrink)

Open peer commentary on the article “A Cybernetic Computational Model for Learning and Skill Acquisition” by Bernard Scott & Abhinav Bansal. Upshot: The Computational Theory of Mind suffers from an inherent weakness owing to its difficulty in taking semantics and embodiment properly into account. It is suggested that these difficulties could be alleviated if it were recognized that the fact that the model presented here employs a computer as a tool, to highlight certain key features of its dynamics, does (...) not necessarily involve assuming that the underlying processes that are modelled are themselves strictly computational in nature. (shrink)