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Crowdsourcing is an emerging web-enabled method to gain external expertise and ideas on tasks or projects. Mass contributions from the crowd are the key to the success and effectiveness of crowdsourcing. University students are important potential users and promising sources of contributions in the crowdsourcing context. However, little is known about the factors that shape university students' intention to participate in this new web frontier. Thus, the current study investigates the determinants of university students' contribution intention on crowdsourcing platforms. Based on the value-based adoption model (VAM) and crowdsourcing characteristics, this study develops a model to understand the determinants of university students' intention to contribute ideas and solutions on crowdsourcing platforms. Data collected from 135 university students in Taiwan were tested against the research model using the partial least squares (PLS) method. The results indicate that perceived value and perceived behavioral control are key determinants of university students' contribution intention on crowdsourcing platforms, and that reputation, perceived enjoyment, task autonomy, and trust are significant factors affecting perceived value. This study contributes to extend the knowledge regarding how to better promote crowdsourcing contributions, as well as how to foster and encourage university students to participate in crowdsourcing activities.

While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent decades, no AI anxiety scale (AIAS) has been developed. Given the limited utility of existing self-report instruments in measuring AIA, the aim of this paper is to develop a standardized tool to measure this phenomenon. Specifically, this paper introduces and defines the construct of AIA, develops a generic AIAS, and discusses the theoretical and practical applications of the instrument. The procedures used to conceptualize the survey, create the measurement items, collect data, and validate the multi-item scale are described. By analyzing data obtained from a sample of 301 respondents, the reliability, criterion-related validity, content validity, discriminant validity, convergent validity, and nomological validity of the constructs and relationships are fully examined. Overall, this empirically validated instrument advances scholarly knowledge regarding AIA and its associated behaviors.

X‐ray imaging serves a critical role across diverse sectors, including medical diagnostics, industrial surveillance, security, and space exploration. This study delves into the unique properties of a novel polar crystal, [FMPPA]ZnBr4 (FMPPA = protonated 3‐fluoro‐4‐(4‐methyl‐1‐piperazinyl)aniline), characterized by a 0D metal halide structure. This crystal features [ZnBr4]2− tetrahedra and A‐site organic amine ion [FMPPA]2+ rings. With a high photoluminescence quantum yield (≈70%) and minimal self‐absorption, [FMPPA]ZnBr4 demonstrates exceptional scintillation performance under X‐ray excitation, producing 29300 ± 600 photons MeV−1 and achieving a low detection limit of 0.352 µGyair s−1, surpassing conventional 3D perovskite nanocrystals. Beyond superior performance, this scintillator meets the demand for efficient X‐ray imaging light emitters. Moreover, it consistently achieves ≈12.5 lp mm−1 high‐resolution X‐ray imaging. Additionally, [FMPPA]ZnBr4 exhibits a nonlinear optical response, surpassing the benchmark KH2PO4 by 1.8 times. This investigation introduces a new structure framework, paving the way for the development of integrated optoelectronic materials with both nonlinear and linear optical properties. [ABSTRACT FROM AUTHOR]

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students' BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students' behavioral intention to use BSGs. These findings enhanced our understanding of students' BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

The psychological effects of information technology (IT) use have been widely reported and assessed in the literature. However, although concerns are growing regarding the potential physiological impacts of IT use on the health of IT users, assessment of this issue is currently hampered by the lack of an appropriate information-system (IS) physiological scale. Given the limited utility of existing self-report instruments, the main purpose of this study is to develop an instrument to measure perceived physiological vulnerability to IT use (PPVITU). This study introduces and defines a PPVITU construct, validates this construct and its basic dimensions empirically, develops a generic PPVITU instrument with appropriate psychometric properties, and examines the theoretical and practical applications of this instrument. After analyzing data provided by 308 IT-user respondents, this study proposes a 4-factor, 17-item PPVITU instrument. The authors expect that this empirically validated instrument will be useful to researchers working to develop and test theories of educational technology use as well as to educators working to better understand student perceptions of physiological vulnerability to IT and educational-technology use.

Background and purpose: Lung adenocarcinoma is a subtype of non-small cell lung cancer. Although much progress has been made in the diagnosis and treatment of lung adenocarcinoma, the clinical prognosis and overall survival of advanced lung adenocarcinoma are still poor. In recent years, a number of studies have shown that miRNA can play a role in a variety of cancers, and play an important role in cell proliferation, metastasis, inflammation and other biological processes. This study aimed to explore the effect of miR-625-5p on the proliferation and invasion ability of lung adenocarcinoma cells and its molecular mechanism, so as to provide a new idea for the diagnosis and treatment of lung cancer. Methods: GEO database was used to search for differentially expressed miRNA in lung adenocarcinoma. Real-time fluorescence quantitative polymerase chain reaction (RTFQ-PCR) was used to detect the expression of miR-625-5p in various lung adenocarcinoma cell lines. The effects of miR-625-5p on the proliferation and invasion of lung adenocarcinoma cells were investigated by EdU cell proliferation assay and transwell invasion assay. Key genes of miR-625-5p targeted binding were predicted by bioinformatics. Western blot experiment validated the expression of protein kinase cAMP-activated catalytic subunit alpha (PRKACA) in lung adenocarcinoma cells. The targeted relationship between miR-625-5p and PRKACA was analyzed by double luciferase assay and Western blot. Western blot assay was used to detect the expression of PRKACA after co-transfection of si-PRKACA and si-miR-625-5p in each group. The effect of miR-625-5p on the proliferation and invasion ability of lung adenocarcinoma cells by targeting PRKACA was observed by EdU cell proliferation assay and transwell invasion assay. Results: The expression of miR-625-5p was up-regulated in lung adenocarcinoma tissues (P

With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing paid m-learning app success. The proposed model describes the interrelationships among seven paid m-learning app success variables: system quality, information quality, perceived enjoyment, perceived fee, user satisfaction, intention to reuse, and learning effectiveness. Data collected from 160 paid m-learning app users were tested against the research model using structural equation modeling (SEM). The empirical findings provide evidence that learning effectiveness is affected by user satisfaction and intention to reuse, which, in turn, are determined by system quality, information quality, perceived enjoyment, and perceived fee. The findings of this study provide several important theoretical and practical implications for the development, implementation, and promotion of paid m-learning apps.

This study investigates the individual difference antecedents of students' behavioural intention to use VR-based learning systems, especially from an integrated perspective of Big Five personality traits and perceived physiological vulnerability to IT use (PPVITU). Data collected from 149 respondents are tested against the research model using the partial least squares structural equation method (PLS-SEM). The results indicate that extraversion and neuroticism positively affect perceived usefulness, conscientiousness negatively influences usefulness, and agreeableness and neuroticism have positive effects on perceived enjoyment. Furthermore, this study finds that musculoskeletal discomfort: neck and shoulder back pain (one PPVITU component) positively influences perceived ease of use. The findings of this study provide several important theoretical and practical implications for promoting VR-based learning system use behaviour. [ABSTRACT FROM AUTHOR]

Despite the extraordinary X‐ray scintillation performance of three‐dimensional (3D) lead perovskite nanocrystals (PNCs), the serious biotoxicity of Pb2+ and luminescent instability in water remain insurmountable obstacles for their applications in medical imaging. To address these drawbacks, herein, the study demonstrates one new lead‐free zero‐dimensional (0D) hybrid cuprous halide of single‐crystalline [BzTPP]2Cu2I4 (BzTPP = Benzyltriphenylphosphonium) as a satisfactory X‐ray scintillator. [BzTPP]2Cu2I4 displays broadband yellowish‐green light emission with a high photoluminescent quantum yield (PLQY) of 44.2% and large Stokes shift of 167 nm upon UV light excitation. High PLQY and negligible self‐absorption enable [BzTPP]2Cu2I4 to display impressive scintillation performance excited by X‐ray with a light yield of 27 706 photons MeV‐1 and low detection limit of 0.352 µGy s−1, surpassing typical 3D PNCs. More importantly, [BzTPP]2Cu2I4 represents extraordinary structural and luminescent stability in water for at least one month. The excellent and stable radioluminescence performance as well as solution growth method ensure a [BzTPP]2Cu2I4‐based screen for fine‐resolution X‐ray imaging with potential in radiography and inspection. This work highlights the multiple merits of low‐toxicity and cost, high light yield, and long‐term water‐stability of 0D hybrid cuprous halides as highly desirable X‐ray scintillators. [ABSTRACT FROM AUTHOR]

Herein, we report two hybrid zero‐dimensional (0D) lead‐free metal oxide halides of [PPip]Sb2Cl6O (1) ([PPip]=1‐(2‐Pyridyl)piperazine) and [PmPip]Sb2Cl6O (2) ([PmPip]=1‐(2‐Pyrimidyl)piperazine). Compounds 1 and 2 are able to exhibit narrow blue light emissions excited by UV light with photo‐luminescence quantum yields (PLQYs) of 25.49 % and 24.71 %, respectively. Through systematical characterizations, these blue light emissions can be attributed to the radiative transition in conjugated organic cations. Benefiting from the highly efficient intrinsic blue emissions, compound 2 can be used as blue fluorophor to fabricate liquid crystal display. This work provides a new to assembly blue emitter through by virtue of the optical active organic cations in hybrid materials. [ABSTRACT FROM AUTHOR]