Participative pricing demonstrates the basic idea of allowing customer participation in price-setting process. Nottingham Playhouse, IBIS Singapore, Metropolitan Museum of Art, Wiener Deewan, Girl Talk, 8k, Zest consulting, Radiohead band and many more have successfully implemented pay-what-you-want, the most innovative form of participative pricing. Based on the degree of participation, PWYW is the highest form that allows buyers to select any price they want to pay for a product/service, including zero. The present study examines how customers lower their motivation to (...) pay more for products offered under PWYW by morally disengaging themselves from reciprocity concerns. It focuses on one mechanism of moral disengagement—displacement of responsibility and tests the proposed hypotheses in PWYW context. 284 responses were gathered using structured questionnaires at a reputed public university. Data were analysed using partial least-squares structural equation modelling. Findings indicate that customers’ moral disengagement via displacement of responsibility towards reciprocity concerns is negatively associated with willingness-to-pay more. Results corroborate the attenuating role of perceived control on the negative association between displacement of responsibility towards reciprocity concerns and WTPM. However, relaxation from monetary commitments does not have a significant moderating effect on the negative relationship between moral disengagement and WTPM. This study is possibly the first to empirically investigate the interplay among individuals’ cognitive mechanisms, moral disengagement from reciprocity concerns and socio-demographic variables under participative pricing. Findings empirically substantiate the theory of moral disengagement, moral self-regulation and social cognitive theory. Practitioners should actively engage customers’ moral self-regulation process and provide more sense of perceived control while designing participative pricing offerings. (shrink)

Purpose This study aims to address the existing knowledge gap by investigating teachers’ adoption of ChatGPT for educational purposes. The study specifically focuses on identifying the factors that motivate and inhibit teachers in adoption of ChatGPT in higher education institutions (HEIs). Design/methodology/approach This research has used interpretative phenomenological analysis – a qualitative approach. Through in-depth interviews among the teachers, data was collected to identify the motivating and inhibiting factors that impacted teachers’ willingness to adopt ChatGPT. The data was collected from (...) 48 teachers working across HEIs of Uttarakhand region in India. Findings The analysis revealed seven themes under motivating factors that encourage teachers to adopt ChatGPT for their educational purposes. These include time factor, tool for competitive edge, learning enhancement tool for students, research facilitator, benefits in educational settings, troubleshooter and easy to use. On the other hand, inhibiting factors comprise five themes, which include technical difficulties, limited features for educational and research purposes, tool for handicapping innovation and creativity, lack of personal touch and ethical considerations. Practical implications The findings will be valuable for HEIs in establishing policies that promote the appropriate and effective use of ChatGPT. Moreover, the study provides recommendations to ChatGPT solution providers for improving ChatGPT services for effective adoption of ChatGPT among teachers and implementation at HEIs. Further, it contributes to the body of literature by filling a knowledge gap about teacher adoption of ChatGPT in the HEIs. Through qualitative research, the study has pinpointed specific motivating and inhibiting factors that affect teacher adoption of ChatGPT. Originality/value Unlike previous studies that primarily explored the potential advantages and drawbacks of ChatGPT in education, this research study delves deeper into the topic. It makes a substantial contribution to our understanding of ChatGPT adoption among teachers by identifying distinct factors that either motivate or inhibit teachers from adopting ChatGPT for job related purposes. The study provides novel insights that were previously mislaid, thereby introducing a fresh perspective to the existing literature. (shrink)

Introduction: Electroconvulsive therapy is a commonly used brain stimulation treatment for treatment-resistant or severe depression. This study was planned to find the effects of ECT on brain connectivity by conducting a systematic review and coordinate-based meta-analysis of the studies performing resting state fMRI in patients with depression receiving ECT.Methods: We systematically searched the databases published up to July 31, 2020, for studies in patients having depression that compared resting-state functional connectivity before and after a course of pulse wave ECT. Meta-analysis (...) was performed using the activation likelihood estimation method after extracting details about coordinates, voxel size, and method for correction of multiple comparisons corresponding to the significant clusters and the respective rsFC analysis measure with its method of extraction.Results: Among 41 articles selected for full-text review, 31 articles were included in the systematic review. Among them, 13 articles were included in the meta-analysis, and a total of 73 foci of 21 experiments were examined using activation likelihood estimation in 10 sets. Using the cluster-level interference method, one voxel-wise analysis with the measure of amplitude of low frequency fluctuations and one seed-voxel analysis with the right hippocampus showed a significant reduction in the left cingulate gyrus and a significant increase in the right hippocampus with the right parahippocampal gyrus, respectively. Another analysis with the studies implementing network-wise resting state functional connectivity showed a significant increase in bilateral posterior cingulate cortex. There was considerable variability as well as a few key deficits in the preprocessing and analysis of the neuroimages and the reporting of results in the included studies. Due to lesser studies, we could not do further analysis to address the neuroimaging variability and subject-related differences.Conclusion: The brain regions noted in this meta-analysis are reasonably specific and distinguished, and they had significant changes in resting state functional connectivity after a course of ECT for depression. More studies with better neuroimaging standards should be conducted in the future to confirm these results in different subgroups of depression and with varied aspects of ECT. (shrink)

The classification of unvoiced stops in consonant–vowel syllables, segmented from continuous speech, is investigated by features related to speech production. As burst and vocalic transitions contribute to identification of stops in the CV context, features are computed from both regions. Although formants are the truly discriminating articulatory features, their estimation from the speech signal is a challenge especially in unvoiced regions like the release burst of stops. This may be compensated partially by sub-band energy-based features. In this work, formant features (...) from the vocalic region are combined with features from the burst region comprising sub-band energies, as well as features from a formant tracking method developed for unvoiced regions. The overall combination of features at the classifier level obtains an accuracy of 84.4%, which is significantly better than that obtained with solely sub-band features on unvoiced stops in CV syllables of TIMIT. (shrink)

Summary Background Self-binding directives instruct clinicians to overrule treatment refusal during future severe episodes of illness. These directives are promoted as having potential to increase autonomy for individuals with severe episodic mental illness. Although lived experience is central to their creation, service users’ views on self-binding directives have not been investigated substantially. This study aimed to explore whether reasons for endorsement, ambivalence, or rejection given by service users with bipolar disorder can address concerns regarding self-binding directives, decision-making capacity, and human (...) rights. Methods This study used qualitative data from an internet-based survey distributed to the mailing list of the UK charity Bipolar UK, which contained multiple closed and open questions on advance decision-making in bipolar disorder. Quantitative analysis of a closed question about self-binding directives had already demonstrated endorsement amongst a very high proportion of participants with bipolar disorder who completed the survey. We conducted thematic analysis of responses from those participants who answered a subsequent open question about reasons for their view. Research was co-produced within a multi-disciplinary team, with clinical, legal, and ethical expertise, and lived experience of bipolar disorder. Ideas and methodologies associated with all these areas of expertise were used in the analysis of these reasons and to gain insight into the thoughts of individuals with bipolar disorder about self-binding directives and associated issues. Findings Between Oct 23 and Dec 5, 2017, 932 individuals with a self-reported clinical diagnosis of bipolar disorder completed the internet survey, with 565 (154 men; 400 women; 11 transgender or other) providing free text answers to the open question. A large majority of respondents endorsed self-binding directives, nearly all describing a determinate shift to types of distorted thinking and decision-making when unwell as their key justification. Responses indicating ambivalence were dominated by logistical concerns about the drafting and implementation of self-binding directives, while those who rejected self-binding directives also cited logistical concerns, validity of their thinking when unwell, and potential contravention of human rights. Interpretation This study is, to our knowledge, the first large study of reasons why mental health service users might endorse or reject the use of self-binding directives. The findings provide empirical support for introducing self-binding directives into mental health advance decision-making practice and policy and may help to address enduring ethical concerns surrounding possible implementation of the directive while a person retains decision-making capacity. The opinions expressed here in responses given by multiple service users with bipolar disorder challenge a prominent view within international disability rights debates that involuntary treatment and recognition of impaired mental capacity constitute inherent human rights violations. Funding The Wellcome Trust . (shrink)

The stability of the power grid is concernment due to the high demand and supply to smart cities, homes, factories, and so on. Different machine learning and deep learning models can be used to tackle the problem of stability prediction for the energy grid. This study elaborates on the necessity of IoT technology to make energy grid networks smart. Different prediction models, namely, logistic regression, naïve Bayes, decision tree, support vector machine, random forest, XGBoost, k-nearest neighbor, and optimized artificial neural (...) network, have been applied on openly available smart energy grid datasets to predict their stability. The present article uses metrics such as accuracy, precision, recall, f1-score, and ROC curve to compare different predictive models. Data augmentation and feature scaling have been applied to the dataset to get better results. The augmented dataset provides better results as compared with the normal dataset. This study concludes that the deep learning predictive model ANN optimized with Adam optimizer provides better results than other predictive models. The ANN model provides 97.27% accuracy, 96.79% precision, 95.67% recall, and 96.22% F1 score. (shrink)

Exposure of the banking system to the Global Financial Crisis attracted attention to the study of riskiness and spillover. This paper studies the pattern of systemic risk and size effect in the Indian banking sector. Based on market capitalization, three public sector banks and three from the private sector were taken. Data are taken from the year 2007 to 2020. The analysis is done through quantile- CoVaR and TENET measure. State variables like Indian market volatility and global risk measures negatively (...) influence the Indian banks’ returns. Liquidity risk is a crucial aspect of private banks. Public banks experience public confidence even in the distress period. Large banks like HDFC and SBI bank offer the highest degree of systemic risk contribution. The role of private banks in transmitting systemic risk has been intensifying since 2015. Small-sized banks like PNB and BOB have become significant receivers and transmitters of risk. (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 generation of isometric force at the hand can be mediated by activating a few motor modules. Stroke induces alterations in motor modules underlying steady-state isometric force generation in the human upper extremity. However, how the altered motor modules impact task performance remains unclear as stroke survivors develop and converge to the three-dimensional target force. Thus, we tested whether stroke-specific motor modules would be activated from the onset of force generation and also examined how alterations in motor modules would induce (...) changes in force representation. During 3D isometric force development, electromyographic signals were recorded from eight major elbow and shoulder muscles in the paretic arm of 10 chronic hemispheric stroke survivors and both arms of six age-matched control participants. A non-negative matrix factorization algorithm identified motor modules in four different time windows: three “exploratory” force ramping phases and the stable force match phase. Motor module similarity and between-force coupling were examined by calculating the scalar product and Pearson correlation across the phases. To investigate the association between the end-point force representation and the activation of the motor modules, principal component analysis and multivariate multiple linear regression analyses were applied. In addition, the force components regressed on the activation profiles of motor modules were utilized to model the feasible force direction. Both stroke and control groups developed exploratory isometric forces with a non-linear relationship between EMG and force. During the force matching, only the stroke group showed abnormal between-force coupling in medial-lateral and backward-forward and medial-lateral and downward-upward directions. In each group, the same motor modules, including the abnormal deltoid module in stroke survivors, were expressed from the beginning of force development instead of emerging during the force exploration. The PCA and the multivariate multiple linear regression analyses showed that alterations in motor modules were associated with abnormal between-force coupling and limited feasible force direction after stroke. Overall, these results suggest that alterations in intermuscular coordination contribute to the abnormal end-point force control under isometric conditions in the UE after stroke. (shrink)

ABSTRACT -/- Ayurveda is science of living being with an aim to live healthy life and curing of ailments. Arogyata (healthy life) is root to achieve the purushartha chatushtaya which are dharma(religious rituals), artha, kama and moksha. Kama in society is taken in sexual lust but Vatsayan has described kama as the enjoyment of appropriate objects by the five senses of hear- ing, feeling, seeing, tasting, and smelling, assisted by the mind together with the soul. The ingre- dient in this (...) is a peculiar contact between the organ of sense and its object, and the consciousness of pleasure which arises from that contact is called Kama. A well organised, controlled form of kama comes under brahmacharya. Acharya Charaka has specified brahmacharya among three subpillars which assists in healthy living being. Brahmacharya leads to conservation of shukra dhatu which is essence of ahara. This shukra dhatu is responsible for bala, virya, yash, dhairya, preeti. Development of these qualities assists higher faculty buddhi or pragya not to indulge in pragyaparadh leading to correct decisionary power and patience. Healthy state of mind is achieved with this brahmacharya. Through this paper a review over various parameters of brah- macharya have been discussed and concluded. -/- Keywords: Kama, dhairya, pragyaparadh, health, shukra dhatu. (shrink)