Conjunctive encoding of exploratory intentions and spatial information in the hippocampus.

The hippocampus creates a cognitive map of the external environment by encoding spatial and self-motion-related information. However, it is unclear whether hippocampal neurons could also incorporate internal cognitive states reflecting an animal's exploratory intention, which is not driven by rewards or unexpected sensory stimuli. In this study, a subgroup of CA1 neurons was found to encode both spatial information and animals' investigatory intentions in male mice. These neurons became active before the initiation of exploration behaviors at specific locations and were nearly silent when the same fields were traversed without exploration. Interestingly, this neuronal activity could not be explained by object features, rewards, or mismatches in environmental cues. Inhibition of the lateral entorhinal cortex decreased the activity of these cells during exploration. Our findings demonstrate that hippocampal neurons may bridge external and internal signals, indicating a potential connection between spatial representation and intentional states in the construction of internal navigation systems.

Temporary disability pension recipients: Contextual stress factors and their effect on return-to-work-intention.

BACKGROUND AND PURPOSE: In the last decades, Germany has experienced a vast increase in the number of individuals applying for or receiving disability benefit. Only a small proportion of them intends to return to work. The present study aims to identify and describe the percentage of temporary disability pensioners, who have the intention to return to working life. METHODS: The final sample consisted of 496 insured individuals who were receiving temporary disability pension from the Regional German Pension Insurance (DRV) at that time. Participation was voluntary and anonymous. The following self-report instruments were administered: a. Evaluation of Contextual Factors; b. German Symptom Validation Test (BEVA); c. German Patient Health Questionnaire (PHQ-9); d. Readiness for Return-to-Work German Scale (RRTW). RESULTS: The results revealed that approximately 6% of participants were at the stage of "preparation", 31.9% at the stage of "contemplation", and more than half of the participants were at the stage of "pre-contemplation" according to the RRTW. Comparing the groups of "pre-contemplation" (Group 1) and "contemplation+preparation" (Group 2+3), no statistically significant differences were found, except for age. CONCLUSIONS: In conclusion, further research is required to identify possible factors which could predict the stage of RRTW. New interventions are needed that can raise the motivation for and success in the return to work of disability pensioners.

Antecedents and outcomes of cyberbullying among Chinese university students: verification of a behavioral pathway model.

Introduction: Cyberbullying is a commonly-seen and hotly-debated social topic around the globe. This negative behavior is the source of many disastrous events, and so leading government bodies, organizations, schools and social communities attach great importance to addressing this topic. However, there is still much work to do in order to be clear about the causes of cyberbullying. Methods: The previous research cases were mostly viewed from the victims' perspectives; however, there is no comprehensive understanding of the perpetrators' viewpoints. Therefore, based on Social Cognitive Theory (SCT) and analysis of discussion in the literature, the following six variables were chosen as the focus of this study: overconfidence, excessive moral sense, cyberbullying, perceived value, happiness, and continued cyberbullying intention. This study established a research model of continued cyberbullying intention, which was verified by Structural Equation Modeling. In order to achieve the aims of the study, Chinese university students with an average age of 20.29 (SD = 1.43) were recruited as participants, from whom 1,048 valid questionnaires were collected. Results: The research results are as follows: 1. Overconfidence and excessive moral sense positively predicted cyberbullying behaviors; 2. Overconfidence positively predicted excessive moral sense; 3. Cyberbullying positively predicted perceived value and sense of happiness; and 4. Perceived value and sense of happiness positively predicted continued cyberbullying intentions. Conclusion: Students' biased self-perception significantly predicts their cyberbullying behaviors and continued cyberbullying intention. What is more, it is interesting to learn that perpetrators will continue to exhibit cyberbullying behaviors when they believe that what they do (cyberbullying) is valuable or allows them to experience positive feelings; this requires our attention.

How Promising Are "Ultraprocessed" Front-of-Package Labels? A Formative Study with US Adults.

High levels of food processing can have detrimental health effects independent of nutrient content. Experts and advocates have proposed adding information about food processing status to front-of-package labeling schemes, which currently exclusively focus on nutrient content. How consumers would perceive "ultraprocessed" labels has not yet been examined. To address this gap, we conducted a within-subjects online experiment with a convenience sample of 600 US adults. Participants viewed a product under three labeling conditions (control, "ultraprocessed" label, and "ultraprocessed" plus "high in sugar" label) in random order for a single product. The "ultraprocessed" label led participants to report thinking more about the risks of eating the product and discouraging them from wanting to buy the product more than the control, despite not grabbing more attention than the control. The "ultraprocessed" plus "high in sugar" labels grabbed more attention, led participants to think more about the risks of eating the product, and discouraged them from wanting to buy the product more than the "ultraprocessed" label alone. "Ultraprocessed" labels may constitute promising messages that could work in tandem with nutrient labels, and further research should examine how they would influence consumers' actual intentions and behaviors.

P300 intention recognition based on phase lag index (PLI)-rich-club brain functional network.

Brain-computer interface (BCI) technology based on P300 signals has a broad application prospect in the assessment and diagnosis of clinical diseases and game control. The paper of selecting key electrodes to realize a wearable intention recognition system has become a hotspot for scholars at home and abroad. In this paper, based on the rich-club phenomenon that exists in the process of intention generation, a phase lag index (PLI)-rich-club-based intention recognition method for P300 is proposed. The rich-club structure is a network consisting of electrodes that are highly connected with other electrodes in the process of P300 generation. To construct the rich-club network, this paper uses PLI to construct the brain functional network, calculates rich-club coefficients of the network in the range of k degrees, initially identifies rich-club nodes based on the feature of node degree, and then performs a descending order of betweenness centrality and identifies the nodes with larger betweenness centrality as the specific rich-club nodes, extracts the non-linear features and frequency domain features of Rich-club nodes, and finally uses support vector machine for classification. The experimental results show that the range of rich-club coefficients is smaller with intent compared to that without intent. Validation was performed on the BCI Competition III dataset by reducing the number of channels to 17 and 16 for subject A and subject B, with recognition quasi-departure rates of 96.93% and 94.93%, respectively, and on the BCI Competition II dataset by reducing the number of channels to 17 for subjects, with a recognition accuracy of 95.50%.

Neurocomputational mechanisms involved in adaptation to fluctuating intentions of others.

Humans frequently interact with agents whose intentions can fluctuate between competition and cooperation over time. It is unclear how the brain adapts to fluctuating intentions of others when the nature of the interactions (to cooperate or compete) is not explicitly and truthfully signaled. Here, we use model-based fMRI and a task in which participants thought they were playing with another player. In fact, they played with an algorithm that alternated without signaling between cooperative and competitive strategies. We show that a neurocomputational mechanism with arbitration between competitive and cooperative experts outperforms other learning models in predicting choice behavior. At the brain level, the fMRI results show that the ventral striatum and ventromedial prefrontal cortex track the difference of reliability between these experts. When attributing competitive intentions, we find increased coupling between these regions and a network that distinguishes prediction errors related to competition and cooperation. These findings provide a neurocomputational account of how the brain arbitrates dynamically between cooperative and competitive intentions when making adaptive social decisions.

Towards a Human-Centric Digital Twin for Human-Machine Collaboration: A Review on Enabling Technologies and Methods.

With the intent to further increase production efficiency while making human the centre of the processes, human-centric manufacturing focuses on concepts such as digital twins and human-machine collaboration. This paper presents enabling technologies and methods to facilitate the creation of human-centric applications powered by digital twins, also from the perspective of Industry 5.0. It analyses and reviews the state of relevant information resources about digital twins for human-machine applications with an emphasis on the human perspective, but also on their collaborated relationship and the possibilities of their applications. Finally, it presents the results of the review and expected future works of research in this area.

Effectiveness and intention to use a COVID-19 self-management app for epidemiological investigation: a web-based survey study.

Introduction: Numerous COVID-19-related apps were widely used during the COVID-19 pandemic. Among them, those supporting epidemiological investigations were particularly useful. This study explored the effectiveness of apps that support epidemiological investigations, factors influencing users' intention to use them, and ways to encourage their use. Methods: We developed and evaluated the KODARI app to demonstrate its importance in epidemiological investigations. After adapting a questionnaire based on an existing evaluation framework for COVID-19-related apps, we collected data from 276 participants through an online survey conducted between April 28 and May 25, 2023. We conducted two independent sample t-tests to determine the differences between each variable according to demographic characteristics and a multiple regression analysis to identify factors affecting intention to use. Results: Users were generally satisfied with the KODARI. We observed differences in sex, age, marital status, occupational characteristics, and experience with epidemiological investigation. Females rated the app's information accuracy higher than males. Males had a higher intention to use than females. Participants aged under 35 years rated information accuracy and transparency highly, whereas single participants rated information accuracy higher than married participants. Occupational groups with frequent interactions with others evaluated their self-determination regarding the application. The app's self-determination was highly valued among participants with experience in epidemiological investigations. By investigating the factors affecting the intention to use the app, we confirmed that effectiveness, self-determination, and usability significantly affected the intention to use. Discussion: This study demonstrated the effectiveness of app supporting epidemiological investigations, identified meaningful factors that influence intention to use, and confirmed the applicability of our new framework by considering the specificity of infectious disease situations such as COVID-19. This study provides a new basis for future epidemiological studies.

Multilevel analysis of COVID-19 vaccination intention: the moderating role of economic and cultural country characteristics.

BACKGROUND: Predictors of COVID-19 (coronavirus) vaccination have been extensively researched; however, the contextual factors contributing to understanding vaccination intention remain largely unexplored. The present study aimed to investigate the moderating role of economic development (Gross domestic product - GDP per capita), economic inequality (Gini index), the perceived corruption index and Hofstede's measurements of cultural values-index of individualism/collectivism and power distance index-in the relationship between determinants of satisfaction with the healthcare system, trust in political institutions, conspiracy beliefs and COVID-19 vaccination intention. METHODS: A multilevel modelling approach was employed on a sample of approximately 51 000 individuals nested within 26 countries. Data were drawn from the European Social Survey Round 10. The model examined the effect of individual- and country-level predictors and their interaction on vaccination intention. RESULTS: Satisfaction with the healthcare system had a stronger positive effect on intention to get vaccinated in countries with lower perceived corruption and more individualistic countries. Trust in political institutions had a stronger positive effect on vaccination intention in countries with higher economic development and lower perceived corruption, while a negative effect of conspiracy beliefs on vaccination intention was stronger in countries with lower economic development, higher perceived corruption and a more collectivistic cultural orientation. CONCLUSION: Our findings highlight the importance of considering individual and contextual factors when addressing vaccination intention.

How work stress influence turnover intention among Chinese local undergraduate university teachers: the mediating effect of job burnout and the moderating effect of self-efficacy.

Background: Turnover intention is one of the common disturbances that affect the career development and management of university teachers. With an aim to solve this thorny issue, the study examined the associations between turnover intention and work stress among local undergraduate university teachers in China. Methods: A questionnaire survey was carried out on 7,565 local university teachers. Initially, confirmatory factor analysis was employed to validate the reliability and validity of the scale. Subsequently, descriptive statistics and correlation analyses were conducted. Following this, a latent moderated structural equation (LMS) was used to explore the relationship among work stress, job burnout, self-efficacy, and turnover intention. Moreover, the bias-corrected Bootstrap method was applied to further examine the mediating effects, moderating effects, and moderated mediating effects in the model. Results: The hypothesized moderated mediation model was verified significant. Work stress directly and positively predicted job burnout and turnover intention, with job burnout serving a partial mediating role between work stress and turnover intention. Additionally, self-efficacy negatively moderated the direct impact of work stress on job burnout, as well as the mediating effect of job burnout. As the self-efficacy of university teachers increased, the direct effect of work stress on job burnout and the mediating effect of job burnout decreased. Conclusion: This study expanded the research on the antecedent variables of university teachers' turnover intention and revealed the individual contingency mechanism by which work stress affected turnover intention: the negative moderating effect of self-efficacy. Work stress induced university teachers' turnover intention, and this phenomenon was more obvious for faculties with low self-efficacy. Administrators of local undergraduate universities need to rationalize the allocation of teachers' job responsibilities and pay attention to the negative consequences of work stress in order to reduce turnover intentions. Particular attention should be paid to enhance teachers' self-efficacy. The findings of this study can provide in-depth recommendations for university faculty management and policy making, which can help shape a working atmosphere more conducive to teaching and research, thus enhancing the overall quality and competitiveness of faculty members within universities.

Effect of emotional factors on purchase intention in live streaming marketing of agricultural products: A moderated mediation model.

Emotional factors play a crucial role in streaming live marketing of agricultural products. Some literature explored several emotional factors' impact on consumers' purchase intention. Nonetheless, the interaction and integration effects of these factors have received less attention. Based on Consumer Engagement Theory, SOR model and TAM model, the paper constructs a moderated mediation model of the interactivity/presence, trust/resonance and purchase intention under rural sentiment. A quantitative study based on 365 valid samples is conducted to validate this model. The results indicate that interactivity and presence positively impact on consumers' purchase intention, trust and resonance play a mediating role between interactivity/presence and purchase intention separately. Contrary to our expectations, rural sentiment negatively moderates the relationship between interactivity and resonance. Differences of regression results between urban and rural group indicate that the cultural backgrounds of consumers have an impact on their emotional responses in live streaming of agricultural products. The results illustrate the mechanism of emotional factors in consumers' purchase decisions. Overall, this paper reveals the potential of emotional factors and the development of effective marketing strategies to improve agricultural products sales.

Factors influencing the intention to purchase health insurance: a study of Indian tobacco and alcohol consumers.

Introduction: This study empirically investigates the attitude of tobacco and alcohol consumers towards health insurance purchase in India. The study aims to determine the factors which plays a significant role in determining the purchase intention of health insurance among tobacco and alcohol consumers. Methods: We propose an extended theory of planned behavior (TPB) model comprising factors like attitude, subjective norms, perceived behavior control, perceived usefulness, perceived product risk, and intention to purchase. We collected responses from 420 tobacco and alcohol consumers through a Google Form link shared via different social media platforms. SPSS has been used to perform exploratory factor analysis, whereas AMOS has been used to validate the constructs, confirm the relationships among the variables, and analyze the data. Results: The analysis outcomes demonstrate that subjective norms, perceived product risk, and perceived behavioral control are the factors that have a positive and significant effect on health insurance purchase intention among consumers. Discussion: This research offers valuable insights to the insurance sector, government officials, policymakers, and academicians. Insurance companies may consider the criteria analysed when creating policies to promote the expansion of the health insurance sector.

The road to refractory graft-versus-host disease is paved with good intentions.

Refractory acute graft-versus-host disease (GVHD) occurs when the immune injury exceeds the capacity of injured tissues to regenerate and repair. While glucocorticoids have been used for decades to treat GVHD, Arnhold, Chang, and colleagues in this issue of the JCI question whether this approach can in fact be counterproductive. Using in vivo experimental models of GVHD and in vitro intestinal organoids, the study authors show that glucocorticoid exposure directly impeded small intestinal epithelial proliferation and survival, thus preventing the resolution of injury. These findings suggest that future treatment approaches for acute GVHD should include measures to reduce immune reactivity as well as interventions to actively promote tissue resilience.

Evaluating COVID-19 vaccine acceptance among parents in Saudi Arabia: a systematic review examining attitudes, hesitancy, and intentions.

Introduction: The COVID-19 pandemic, affecting adults and children equally, has caused significant disruption to countries worldwide, including Saudi Arabia. In Saudi Arabia, the fast preventative measures and mass vaccine enrollment were vital to contain the devastating impact of the pandemic. However, vaccine hesitancy, especially among parents toward vaccinating their children, was a significant obstacle to vaccine uptake. Methods: This systematic review followed PRISMA guidelines to assess parental willingness to vaccinate their children against COVID-19, determine the key determinants influencing such intention and attitudes, and underline the significant concerns and misconceptions regarding the vaccine among parents. The Joanne Briggs Institute (JBI) checklist for prevalence studies was used to assess included studies for risk of bias. Results: Twenty-three studies were included in this systematic review, representing a total of 20,926 participants, with over 66% of them were female. Over 37% of the participants were willing to vaccinate their children against COVID-19. Parents' age, gender, level of education, and income were the main determinants of their intention to vaccinate their children. The parents' main concerns were the potential vaccine side effects, safety, and efficacy. Major misconceptions about the COVID-19 vaccine included it being dangerous to children and that children are at lower risk of severe infection; hence, vaccines were not needed. Discussion: This seminal review provides insights to public health policymakers, which should be considered and taken together in light of other studies addressing parental vaccine hesitancy.

The Impact of Involvement in Whole Health System for Veterans or Participating in It for Oneself on Job Attitudes in VA Employees.

OBJECTIVE: The aim of the study is to examine how involvement in the Whole Health System of care, clinically and personally (through employee-focused activities), would affect employee satisfaction, engagement, burnout, and turnover intent in the Veterans Health Administration. METHODS: Multivariate logistic regression analysis of cross-sectional survey from Veterans Health Administration employees was used to determine the influence of Whole Health System involvement and Employee Whole Health participation on job attitudes. RESULTS: Whole Health System involvement was associated higher job satisfaction, higher levels of engagement, lower burnout, and lower turnover intent. A similar pattern of results was identified when looking specifically at Employee Whole Health participation and associated job attitudes. CONCLUSIONS: Employees who are either directly involved in delivering Whole Health services to veterans or who have participated in Whole Health programming for their own benefit may experience a meaningful positive impact on their well-being and how they experience the workplace.

A Focus on Leadership Communication and Feeling Valued to Prevent Burnout and Turnover Among Healthcare Professionals.

OBJECTIVE: The purpose of this study was to examine the relative importance of leadership communication in predicting burnout and intention to stay among faculty and staff while controlling for other factors such as satisfaction with compensation and work-home flexibility. METHODS: This study involved a secondary analysis of data derived from an organizational engagement survey that included 2336 faculty members (75% response rate) and 17,664 staff members (72% response rate). RESULTS: Effective leadership communication was a stronger predictor of burnout and intent to stay than satisfaction with compensation and work-home flexibility. Feeling valued by the organization mediated the relationship between leadership communication and the outcome variables. CONCLUSIONS: Leadership communication provides a low-cost solution to burnout and staff shortages and is primarily effective because it conveys to both faculty and staff that they are valued by the organization.

Perceived usefulness of medical teachers towards online learning using technology acceptance model.

Objective: To determine medical teachers' acceptance of and attitude towards online learning, and to gather their recommendations about how it can be incorporated in the educational system. METHODS: The mixed method study was conducted at Gujranwala Medical College, Gujranwala, Pakistan, from August 2021 to January 2022, and comprised medical teachers involved in online teaching during the coronavirus disease-2019 pandemic. Quantitative data was gathered using an online questionnaire based on the technology acceptance model. The qualitative component was explored through 2 focussed group discussions. Data was analysed using SPSS 25. RESULTS: Of the 50 teachers, 31(62%) were males and 19(38%) were females. The overall mean age was 42.9±7.9 years, and the mean teaching experience was 10.9±7.9 years. Mean perceived usefulness score was 3.2±0.9 and the mean perceived ease of use score was 3.6±0.6. The mean scores were 3.3±0.9 for intention to use and 3.5±0.7 for attitude towards computer use. There was a strong positive correlation of perceived usefulness with intention to use and attitude towards computer use (p<0.05), while perceived ease of use and intention to use had a strong correlation with attitude towards computer use (p<0.05). There were total 12 participants in focussed group discussions; 2(16.7%) females and 10(83.3%) males with mean age 44.34±5.23 years. A total of 4 major themes were identified. Conclusion: Majority of medical teachers strongly agreed with the acceptance of e-learning, and agreed with its perceived usefulness and perceived ease of use for online learning.

Influence of autistic traits and communication role on eye contact behavior during face-to-face interaction.

Eye contact is a central component in face-to-face interactions. It is important in structuring communicative exchanges and offers critical insights into others' interests and intentions. To better understand eye contact in face-to-face interactions, we applied a novel, non-intrusive deep-learning-based dual-camera system and investigated associations between eye contact and autistic traits as well as self-reported eye contact discomfort during a referential communication task, where participants and the experimenter had to guess, in turn, a word known by the other individual. Corroborating previous research, we found that participants' eye gaze and mutual eye contact were inversely related to autistic traits. In addition, our findings revealed different behaviors depending on the role in the dyad: listening and guessing were associated with increased eye contact compared with describing words. In the listening and guessing condition, only a subgroup who reported eye contact discomfort had a lower amount of eye gaze and eye contact. When describing words, higher autistic traits were associated with reduced eye gaze and eye contact. Our data indicate that eye contact is inversely associated with autistic traits when describing words, and that eye gaze is modulated by the communicative role in a conversation.

Exploring the factors influencing public intention for spectator sports consumption based on grounded theory.

Spectator sports consumption serves as a vital component in the development of the sports industry. However, numerous challenges exist in fostering public engagement in this domain. Therefore, in order to explore the factors that influence public participation in spectator sport consumption, this study analyzes the intention to participate in spectator sports consumption from the perspective of consumers. On this basis, Semi-structured interviews were conducted with a sample of 25 members of the public, and three levels of coding were analyzed using the qualitative research method of procedural rooting theory and establish a model on the influence of public intention to participate in spectator sports consumption, and on this basis, we reveal the influence of crucial elements. The results of the study indicate that: Firstly, personal and psychological factors are significant internal drivers, while external drivers cover product and contextual factors. Secondly, the key to filling the attitudinal and behavioral gaps is the depth of perception individually, which is of great importance in increasing public participation. Thirdly, external contextual factors impacting consumer support primarily consist of external incentives, social influences, and urban contextual variables, which also serve a moderating role in the integration model. The results suggest that guiding the public to actively participate in spectator sport consumption should be based on an understanding of individual perceptions, emotions as well as attitudes. This paper develops a model examining public motivation to engage in spectator sports locally in China, pinpoints the primary influencing factors and mechanisms, and presents novel concepts for the sustainable growth of the sports sector.

Changes in intention to use an interprofessional approach to decision-making following training: a cluster before-and-after study.

BACKGROUND: Health professionals in home care work in interprofessional teams. Yet most training in decision support assumes a one-on-one relationship with patients. We assessed the impact of an in-person training session in interprofessional shared decision-making (IP-SDM) on home care professionals' intention to adopt this approach. METHODS: We conducted a secondary analysis of a cluster stepped-wedge trial using a before-and-after study design. We collected data among home care professionals from November 2016 to February 2018 in 9 health and social services centers in Quebec, Canada. The intervention was an in-person IP-SDM training session. Intention to engage in IP-SDM pre- and post-session (dependent variable) was compared using a continuing professional development evaluation scale (CPD-Reaction) informed by the Godin's Integrated Behavioral Model for health professionals. We also assessed socio-demographic and psychosocial variables (beliefs about capabilities, beliefs about consequences, social influence and moral norm). We performed bivariate and multivariate analysis to identify factors influencing post-intervention intention. We used the STROBE reporting guidelines for observational studies to report our results. RESULTS: Of 134 respondents who provided complete pairs of questionnaires (pre- and post-), most were female (90.9%), mean age was 42 (± 9.3) years and 66.9% were social workers. Mean intention scores decreased from 5.84 (± 1.19) to 5.54 (± 1.35) (Mean difference = -0.30 ± 1.16; p = 0.02). Factors associated with higher intention post-intervention were social influence (ß = 0.34, p = 0.01) and belief about capabilities (ß = 0.49, p < 0.01). CONCLUSION: After in-person IP-SDM training, healthcare professionals' intention to engage in IP-SDM decreased. However, the scope of this decrease is probably not clinically significant. Due to their association with intention, beliefs about capabilities, which translate into having a sense of self-competency in the new clinical behavior, and social influences, which translate into what important others think one should be doing, could be targets for future research aiming to implement IP-SDM in home care settings.