To assess and explain finely drivers' a priori acceptance of highly automated cars, this study used the Theory of Planned Behaviour (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, the current study sought to extend upon previous research to assess if intentions to use highly automated cars in the future differed according to country (i.e., Australia, France, & Sweden). These three countries were selected to enable comparisons of a priori acceptance between countries of differing levels of exposure to highly automated cars. Participants (N = 1563; 62.1 % male) were recruited in Australia (n = 558), France (n = 625), and Sweden (n = 380) to complete a 20 min online questionnaire. The findings differed according to country of residence. Individuals residing in France reported significantly greater intentions to use highly automated cars when they become publicly available compared to individuals residing in Australia and in Sweden. Of the TPB constructs entered at step 1 in the hierarchical regression, attitudes, subjective norms, and perceived behavioural control (capability and controllability) were significant predictors of intentions to use highly automated cars for participants residing in Australia and France. For participants residing in Sweden, only attitudes and PBC-capability were significant predictors of intentions. Of the UTAUT constructs entered at step 2, performance expectancy and effort expectancy were significant predictors of intentions for participants residing in France and only performance expectancy a significant predictor of intentions for participants residing in both Australia and Sweden. Age and gender did not add to the prediction of intentions when entered at step 3. However, pre-existing knowledge was a significant negative predictor of intentions when entered at step 3 for participants residing in Australia. Overall, the findings found some support for applying the TPB and UTAUT to assess intentions to use highly automated cars in different countries. The findings also highlight differences in a priori acceptance across countries and the factors which predict such acceptance.
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http://dx.doi.org/10.1016/j.aap.2020.105441 | DOI Listing |
NPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFGenomics Proteomics Bioinformatics
January 2025
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Research Unit of Hematologic Malignancies Genomics and Translational Research of Chinese Academy of Medical Sciences, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) techniques hold great value in evaluating the heterogeneity and spatial characteristics of hematopoietic cells within tissues. These two techniques are highly complementary, with scRNA-seq offering single-cell resolution and ST retaining spatial information. However, there is an urgent demand for well-organized and user-friendly toolkits capable of handling single-cell and spatial information.
View Article and Find Full Text PDFViruses
January 2025
Microbiology Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Aims: The screening and diagnosis of dengue virus infection play a crucial role in controlling the epidemic of dengue fever, highlighting the urgent need for a highly sensitive, simple, and rapid laboratory testing method. This study aims to assess the clinical performance of MAGLUMI Denv NS1 in detecting dengue virus NS1 antigen.
Methods: A retrospective study was conducted to assess the sensitivity and specificity of MAGLUMI Denv NS1 using residual samples.
Pharmaceuticals (Basel)
January 2025
Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine, Nuclear Chemistry (INM-5), Wilhelm-Johnen-Str., 52428 Jülich, Germany.
The radiotracer [F]JK-PSMA-7, a prostate cancer imaging agent for positron emission tomography (PET), was previously synthesized by indirect radiofluorination using an F-labeled active ester as a prosthetic group, which had to be isolated and purified before it could be linked to the pharmacologically active Lys-urea-Glu motif. Although this procedure could be automated on two-reactor modules like the GE TRACERLab FX2N (FXN) to afford the tracer in modest radiochemical yields (RCY) of 18-25%, it is unsuitable for cassette-based systems with a single reactor. To simplify implementation on an automated synthesis module, the radiosynthesis of [F]JK-PSMA-7 was devised as a one-pot, two-step reaction.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Academic Respiratory Medicine, Centre for Cardiovascular and Metabolic Research, Hull York Medical School, Cottingham HU16 5JQ, UK.
Coughing is a symptom of many respiratory diseases. An increased amount of coughs may signal an (upcoming) health issue, while a decreasing amount of coughs may indicate an improved health status. The presence of a cough can be identified by a cough classifier.
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