An All-in-One mHealth Application: #Beats – Your health mate

Màster en Gestió de Continguts Digitals, Facultat d'Informació i Mitjans Audiovisuals, Universitat de Barcelona i UPF, curs 2019-2020. Tutor: Dr. Cristóbal Urbano. UBBy exploring the current situation of the mHealth market in Spain, and the feasibility of the open-source framework, this article looks forward to developing an all-in-one mHealth application with the concept of Mini Programs/ Instant App. It can integrate the healthcare resources and provide users with more experience of instant services without a complicated installation process. It also strengthens the protection of personal information and privacy. In the meanwhile, by applying the methodology of Rapid Prototyping, a user interface of this app, Beats, will be presented to visualize the above concepts. It may be a revolution for medical providers, doctor-patient relationships, public health care systems, and even the entire healthcare system

Drivers of Attitudes toward Online Purchase Intention Among Residents of Taiyuan in China

Purpose: This study aims to investigate the influencing factors of consumers’ attitudes towards online shopping and purchase intention in Taiyuan, Shanxi Province. The conceptual framework proposes the causal relationship between trust, subjective norm, perceived risk, perceived behavioral control, attitudes, and purchase intention. Research design, data, and methodology: The researchers used a quantitative method (n=500) to send questionnaires to consumers about the online shopping experience in Taiyuan, Shanxi Province. A nonprobability sampling includes judgment sampling, quota sampling, and convenient sampling. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were used for data analysis, including model fitting, reliability, and validity tests. Results: The results show that trust significantly affects online shopping attitude. Furthermore, perceived risk, perceived behavior control, and attitude have significant effects on purchase intention. The influence of subjective norms on shopping intention is not significant. Attitude has the greatest impact on shopping intention. Conclusion: It is suggested that the managers of online shopping platforms should maintain consumers’ good attitudes toward online shopping, improve the level of trust mechanism, and control risks. the research results will help strategic managers and marketers of online shopping platforms gain better experience and enlightenment in attracting consumers to enhance the development of the online shopping market

Affecting Factors Affecting Non-Residents’ Attitude towards Online Purchase Intention in Taiyuan China

Purpose: This study examines affecting factors of non-residents’ attitudes toward online purchase intention in Taiyuan, Shanxi Province, China. Six variables were used to construct a conceptual framework: trust, subjective norms, perceived risk, perceived behavioral control, attitudes, and purchase intention. Research design, data, and methodology: The researcher applied a quantitative method (n=500) to distribute questionnaires to consumers about online purchase intention. A non-probabilistic sampling includes judgmental sampling, quota sampling, and convenience sampling. The index approved the construct validity of item-objective congruence (IOC). Cronbach's Alpha coefficient values verified each construct in the pilot test of 42 respondents. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were employed, including model fitting, reliability, and validity tests. Results: The results show that trust has a significant impact on online shopping attitude; subjective norm, perceived risk, perceived behavior control, and attitude all have significant effects on purchase intention. Attitude has the most significant effect on online purchase intention. Conclusion: The five hypotheses have been proven to meet the research objectives. Therefore, it is suggested that the managers of online shopping platforms should investigate consumers' attitudes toward online shopping, improve the trust mechanism, and manage risks to enhance higher purchase intention

Granular Partition and Concept Lattice Division Based on Quotient Space

In this paper, we investigate the relationship between the concept lattice and quotient space by granularity. A new framework of knowledge representation - granular quotient space - is constructed and it demonstrates that concept lattice classing is linked to quotient space. The covering of the formal context is firstly given based on this granule, then the granular concept lattice model and its construction are discussed on the sub-context which is formed by the granular classification set. We analyze knowledge reduction and give the description of granular entropy techniques, including some novel formulas. Lastly, a concept lattice constructing algorithm is proposed based on multi-granular feature selection in quotient space. Examples and experiments show that the algorithm can obtain a minimal reduct and is much more efficient than classical incremental concept formation methods

The Trapping and Characterization of a Single Hydrogen Molecule in a Continuously Tunable Nanocavity

Using inelastic electron tunneling spectroscopy with the scanning tunneling microscope (STM-IETS) and density functional theory calculations (DFT), we investigated properties of a single H2 molecule trapped in nanocavities with controlled shape and separation between the STM tip and the Au (110) surface. The STM tip not only serves for the purpose of characterization, but also is directly involved in modification of chemical environment of molecule. The bond length of H2 expands in the atop cavity, with a tendency of dissociation when the gap closes, whereas it remains unchanged in the trough cavity. The availability of two substantially different cavities in the same setup allows understanding of H2 adsorption on noble metal surfaces and sets a path for manipulating a single chemical bond by design.Comment: 11 pages, 4 figure

Coherent manipulation of spin wave vector for polarization of photons in an atomic ensemble

We experimentally demonstrate the manipulation of two-orthogonal components of a spin wave in an atomic ensemble. Based on Raman two-photon transition and Larmor spin precession induced by magnetic field pulses, the coherent rotations between the two components of the spin wave is controllably achieved. Successively, the two manipulated spin-wave components are mapped into two orthogonal polarized optical emissions, respectively. By measuring Ramsey fringes of the retrieved optical signals, the \pi/2-pulse fidelity of ~96% is obtained. The presented manipulation scheme can be used to build an arbitrary rotation for qubit operations in quantum information processing based on atomic ensembles

Do We Blame it on the Machine? Task Outcome and Agency Attribution in Human-Technology Collaboration

With the growing functionality and capability of technology in human-technology interaction, humans are no longer the only autonomous entity. Automated machines increasingly play the role of agentic teammates, and through this process, human agency and machine agency are constructed and negotiated. Previous research on “Computers are Social Actors (CASA)” and self-serving bias suggest that humans might attribute more technology agency and less human agency when the interaction outcome is undesirable, and vice versa. We conducted an experiment to test this proposition by manipulating task outcome of a game co-played by a user and a smartphone app, and found partially contradictory results. Further, user characteristics, sociability in particular, moderated the effect of task outcome on agency attribution, and affected user experience and behavioral intention. Such findings suggest a complex mechanism of agency attribution in human-technology collaboration, which has important implications for emerging socio-ethical and socio-technical concerns surrounding intelligent technology