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Neera Burra 《Resonance》2017,22(9):823-828
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Mobile payment technology continues to spread across the globe, but its diffusion has not been uniform. Its low usage in developing economies is of particular concern to policymakers since this technology has the potential to enable financial inclusion. In this study, in order to develop policy interventions for greater usage, we comparatively analyze factors impacting actual usage and future use intention. India, with its uneven trajectory of mobile payments, gives us an appropriate field to investigate citizens’ usage behaviour. Considering users’ perceptions of both positive and negative attributes of the technology, we develop research models under the umbrella of the valence framework. We utilize technology affordances and constraints theory (TACT) to refine the research models through an understanding of various innovative uses. To test the valence-TACT models, we collect survey responses of 551 citizens across four Indian cities. The results from the models show how certain factors, such as convenience, reflection, and security, have different impacts on actual usage and future use intention, respectively. These findings have implications for critical issues like security, risk, and digital literacy, and can help in the design of policy recommendations for enhancing the use of mobile payments, thereby impacting financial inclusion for all. The valence-TACT model provides a theoretical contribution to mobile payment and innovation literature and also offers several policy insights. 相似文献
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Colleges and universities offer classes that meet for different lengths of time and different numbers of days per week, such as classes that meet 2 days and those that meet 3 days. Traditionally triweekly classes that met for a shorter duration were more common than classes that met biweekly for a longer duration. Biweekly classes are becoming more popular with time. However, there is some concern that classes that meet more often are better suited for student learning than others. This paper, using data from a small liberal arts college, finds that after controlling for the starting time of the class meeting and course fixed effects as well as faculty and student fixed effects, student learning across 2 and 3 days classes is essentially the same. 相似文献
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Ramesh C. Kamboj Neera Raghav Ashwani Mittal Shiwani Khurana Rachna Sadana Hari Singh 《Indian journal of clinical biochemistry : IJCB》2003,18(2):39-47
The cysteine proteinases like cathepsins B, L and H are main hydrolytic enzymes present in lysosomes and play an important
role in intracellular protein degradation. Tuberculosis and leprosy, both are tissue- destructive diseases. Main drugs used
in chemotherapy of these diseases may inhibit the main lysosomal cysteine proteinases i.e. cathepsins B, L and H released
during tissue destruction and thus prevent the further destruction of tissue by these enzymes. So the aim of this study is
to see the effect of antituberculous and antileprotic drugs on these proteolytic enzymes. The effect of commonly used antituberculous
and antileprotic drugs was screened on the activities of purified brain lysosomal cysteine proteinases namely cathepsins B
[EC 3.4.22.1], L [EC 3.4.22.15] and H [EC 3.4.22.16]. Among the antileprotic drugs, only clofazimine inhibited the enzymic
activities whereas dapsone had no effect whatsoever. In antituberculous drugs, rifampicin was the most inhibitory while isoniazid
had little inhibitory potency. Streptomycin and pyrazinamide did not effect the activities at all. As regards the mechanism
of inhibition, clofazimine and isoniazid inhibited the enzymes in a non-competitive manner with K values of 0.25 mM and 5.0
mM for cathepsin B, 0.071 mM and 0.833 mM for cathepsin L and 1.513 mM and 0.885 mM for cathepsin H, While rifampicin could
effect in a competitive manner with Ki values of 0.03 mM, 0.125 mM and 0.027 mM for cathepsin B, L and H respectively. 相似文献
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Social media rumors are improvised and expressive forms of public opinion that especially arise under uncertain sociopolitical situations. This study utilizes early rumor studies as theoretical framework for textual analysis of Twitter public opinion. A content and semantic network analysis of Twitter messages spread during Korean saber rattling in 2013 was conducted for understanding public opinion in an uncertain context. The results show that, while non-rumor narratives focus on policy-level responses to the threat situation in a similar manner to institutionalized opinion polling, rumors are less concerned with official responses, instead reflective of hegemonic tensions between anti-leftwing political sentiments and the counteractive accounts. Some rumors reveal the public's coping with fears in the form of humor, guesswork, or wishes. Online rumor analysis helps understand how the society's collective memories interact with the current situational uncertainty in shaping public opinions and sentiments. 相似文献
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