Estimation of the age human bloodstains is great importance in forensic practices, but it a challenging task because lack well-accepted, reliable, and established method. Here, attenuated total reflection (ATR)-Fourier transform infrared (FTIR) technique combined with advanced chemometric methods was utilized to determine indoor outdoor up 107 days. The bloodstain storage conditions mimicked crime scene scenarios as closely possible. Two partial least squares regression models-indoor models...

The application of a central bank digital currency (CBDC) is promising substantial alteration to the payment system and provision safe, efficient, inclusive financial system. However, determinants individuals' behavioural intentions (BIs) toward using this technology are still unclear. Based on integration acceptance model innovation diffusion theory, study develops theoretical framework, which was validated through questionnaire survey undertaken with 344 CBDC users from 10 pilot areas in...

Abstract On B2C shopping websites, effective visual designs can bring about consumers' positive emotional experience. From this perspective, article developed a research model to explore the impact of human image as element on online emotions and subsequent attitudes towards websites. This study conducted an eye-tracking experiment collect both eye movement data questionnaire test model. Questionnaire analysis showed that product pictures combined with induced among participants, thus...

Abstract Effective forecasting of energy consumption structure is vital for China to reach its “dual carbon” objective. However, little attention has been paid existing studies on the holistic nature and internal properties structure. Therefore, this paper incorporates theory compositional data into study structure, which not only takes account specificity features but also digs deeper relative information. Meanwhile, based minimization squares Aitchison distance in data, a combined model...

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Accurately predicting the trajectory of carbon emissions is vital for achieving a sustainable shift toward green and low-carbon future. Hence, this paper created novel model to examine driver analysis integrated prediction Chinese emission, large carbon-emitting country. The logarithmic mean divisia index (LMDI) approach initially served decompose drivers emissions, analyzing annual staged contributions these factors. Given non-stationarity non-linear characteristics in data sequence...

Racism at the individual and societal levels has been identified as a cause of disparity in healthcare outcomes United States but reducing slow. This study disentangles relative effects two types racism on inpatient service delivery hospital mortality: technology bias implicit bias. Drawing clinical data from intensive care unit (ICU) patients with sepsis, we use propensity score matching to balance groups White nonwhite run causal mediation analysis test our model, which links patient race...

The development of artificial intelligence technology makes the intelligent decision-making enterprise finance possible. Combined with traditional financial decision support system, this paper summarizes and introduces structure function Financial Decision Support System its subsystems under in detail.

Environmental psychology is an interdisciplinary field that focuses on the interplay between individuals and their surroundings. Chinese researchers conducted extensive research produced a wealth of academic achievements, especially application environmental psychology, such as protection minority towns villages prevention solution air pollution. To reveal current situation researches in China, 388 related papers from China National Knowledge Infrastructure (CNKI) were analyzed by...

Objective: To investigate the mental health status of college students different specialties during outbreak coronavirus disease 2019 (COVID-19) so as to provide basis for students' assessment and psychological crisis intervention Methods: The survey conducted among a university in Xi'an was composed common questionnaires like Self-rating Anxiety Scale (SAS) Self-Depression Rating (SDS), understanding COVID-19 differences were compared by ANOVA LSD-test Results: A total 456 collected online,...

Abstract Based on a large sample of survey data collected from 12 Chinese provinces, municipalities directly under the central government and autonomous regions in western China, this article discusses subjective well-being residents all ethnic groups regions, along two dimensions economic development social integration. The results show that overall Western China is good, percentage people who indicated they often feel happy generally higher than those unhappy. minority status such as Huis...

Prior studies have explored the link between ESG ratings and firms' financial performance, but few focused on its interplay with investor sentiment. This study examines how sentiment moderates relationship performance. We use a fixed‐effect regression model applied to panel data from Chinese listed firms 2011 2020. find strong evidence that can reinforce impact of further investigate relationships dimensions ESG—environmental (E), social (S), governance (G)—performance, respectively....

Abstract Objective This study established a theoretical model to analyze the factors influencing patients’ intention use new Hospital Information System (HIS) and provide suggestions for hospital administrator: A case of Examination Reservation System(HERS). Background The successful application HIS could not only optimize examination process, but also improve overall utilization rate equipment, it patient satisfaction. But key is how successfully help transition. Method target population...

Benign exit has become the main theme of transformation in China's peer-to-peer (P2P) lending industry. To protect interests investors benign process, this paper proposes a social co-governance pattern using tripartite evolutionary game model to capture behavior strategies P2P platforms, investors, and financial regulators. The results demonstrate that there are four stable for model, among which positive disposal participation policy regulators is optimal strategy process. also show initial...

Abstract In this paper, we develop an intelligent approach to detect default risk of FinTech lending platforms. Using China's peer‐to‐peer (P2P) market as empirical application, assemble a unique dataset matched and non‐default We apply state‐of‐art techniques extract sentiment topic features from several stakeholders' social media data, which are used supportive soft information. Our exhibits better predictive abilities than those with hard information only, where the value dynamic is...