Ability Of Individuals Research Articles

Age-related breakdown in networks of inter-muscular coordination.

Assessing inter-muscular coordination in older adults is crucial, as it directly impacts an individual's ability for independent functioning, injury prevention, and active engagement in daily activities. However, the precise mechanisms by which distinct muscle fiber types synchronize their activity across muscles to generate coordinated movements in older adults remain unknown. Our objective is to investigate how distinct muscle groups dynamically synchronize with each other in young and older adults during exercise. Thirty-five young adults and nine older adults performed one bodyweight squat set until exhaustion. Simultaneous surface electromyography (sEMG) recordings were taken from the left and right vastus lateralis, and left and right erector spinae. To quantify inter-muscular coordination, we first obtained ten time series of sEMG band power for each muscle, representing the dynamics of different muscle fiber types. Next, we calculated the bivariate equal-time Pearson's cross-correlation for each pair of sEMG band power time series across all leg and back muscles. The main results show (i) an overall reduction in the degree of inter-muscular coordination, and (ii) increased stratification of the inter-muscular network in older adults compared to young adults. These findings suggest that as individuals age, the global inter-muscular network becomes less flexible and adaptable, hindering its ability to reorganize effectively in response to fatigue or other stimuli. This network approach opens new avenues for developing novel network-based markers to characterize multilevel inter-muscular interactions, which can help target functional deficits and potentially reduce the risk of falls and neuro-muscular injuries in older adults.

The Social Intervention Function of Chinese Pop Music Performance and Its Macro Sociological Analysis

Pop music is a product of human consciousness and widely exists in all known human cultures. Music is not a necessity for human survival, why is it so important to humans? For a long time, social connections have been considered an important function of music and a major factor influencing the evolution of human musicality. The recent hypothesis of music social connection provides a framework for understanding the biological and cultural evolution of music. It suggests that music can coordinate emotions, behaviors, and ideological perspectives among individuals, strengthen intimate relationships between individuals, and thus enhance social cohesion. Pro social behavior is a manifestation of human social connections, which refers to the beneficial behavior of individuals towards others, groups, and society, such as helping behavior. Although studies have shown that listening to prosocial songs and their associated prosocial emotions can promote individual prosocial behavior, it remains unclear whether the music itself and its corresponding emotional experiences are sufficient to influence prosocial behavior after excluding the influence of lyrics. In addition, although some studies suggest that prosocial behavior is related to factors such as individual psychological theory ability and cognitive ability, the mediating effect of music on prosocial behavior through psychological theory ability and cognitive ability has not been verified. Therefore, based on the classic two-dimensional emotional model, this study systematically examines whether music and its induced emotional experiences affect individual prosocial behavior decisions, and further explores the mediating role of psychological theory and cognitive ability.

Development and validation of Intertemporal Decision-Making Ability Scale for early adolescents

ABSTRACT Objective Intertemporal decision-making ability refers to the ability of individuals to weigh costs and benefits at different time points and make choices, which is crucial for adolescents to resist temptation, improve self-control, and prospection. However, there are rarely studies that have been conducted to directly measure the intertemporal decision-making ability of adolescents. Method In this study, adolescents aged 9 to 15 years old were include to finish the measurement, and the intertemporal decision-making ability scale was developed based on three neural networks of intertemporal decision-making. After conducting the exploratory factor analysis, the final scale had 14 items in three dimensions. Results The results showed that the intertemporal decision-making ability scale for early adolescents contains three dimensions, namely, cognitive control, reward valuation, and prospection, with a total of 14 items. Conclusion The intertemporal decisionmaking ability scale developed in this study can effectively assess the intertemporal decisionmaking ability for early adolescents..

Bridging the gap: challenges and opportunities of assistive technology loan library systems for individuals with intellectual disabilities in the United States

Purpose In an increasingly technology-driven world, this study explores the accessibility of assistive technology for individuals with intellectual disabilities through assistive technology loan libraries. Assistive technology refers to devices or systems that enhance the ability of individuals with and without disabilities to function and undertake activities of daily living. Materials and methods The study, grounded in the Social Determinants of Health framework, employed multiple methods including both qualitative (interviews) and quantitative (questionnaire) methods, involving 19 participants comprising assistive technology professionals and users. Results Key findings from the study underscore the pivotal role of assistive technology loan libraries, which lend various assistive devices to individuals, enabling them to try these technologies before making a long-term commitment. However, challenges, such as a restricted variety of devices and extended waiting periods for access were highlighted. The research points to a need for improved training for both staff at the loan libraries and the users of the technology. It also suggests that policy enhancements are required to better align with rapid technological advancements and address the uneven regional distribution of these technologies. Conclusions Participants in the study highlighted the importance of expanding the range of assistive devices available in these libraries and improving the efficiency of the service they provide. The study advocates for targeted efforts to enhance the effectiveness and accessibility of assistive technology loan libraries, highlighting their critical role in empowering individuals with intellectual disabilities.

Solving power system economic emission dispatch problem under complex constraints via dimension differential learn butterfly optimization algorithm with FDC-based

The economic emission dispatch (EED) aims to minimize the fuel and pollutant emission costs of generator units under various complex constraints. Optimizing the EED problem is of crucial importance for alleviating the current energy and environmental pressures. In this work, nearly all known complex constraints in the EED problem, including the valve-point effect, transmission line power loss, prohibited operating zones, and ramp-rate limits, are taken into account, and an enhanced version of butterfly optimization algorithm (FDCDLBOA) is proposed to solve it. First, a new adaptive fragrance is employed to optimize the instability caused by target differences and improve the convergence performance. Second, the proposed dimension differential learning strategy evolves the position of individuals with the help of superior dimensional information in the population, and this extensive learning exchange can balance global and local search, maintain diversity, and get rid of local optima. Third, the Fitness-Distance-Constraint (FDC) guide selection method is employed for the first time to handle the complex constraints of EED problems, enhancing the ability of individuals to bypass the infeasible search areas. After evaluating the proposed FDCDLBOA on CEC 2022 test suite, it is applied to solve 8 EED cases, encompassing small-, medium- and large-scale systems. Notably, the 280-generator case is the first large-scale test to exceed 200 generators. Compared with 9 representative algorithms, FDCDLBOA performs outstandingly in terms of robustness, improvement index (IF), mean constraint violation (MV), feasibility rate (FR) and Quade multiple comparison, among which IF, MV, FR, and Quade are all employed for evaluating the EED problem for the first time. The presented results confirm that the proposed method effectively enhances the robustness of high-quality solutions and the ability to handle complex constraints, demonstrating strong competitiveness and potential in solving the EED problem.

The guidance of neutral human populations maintains cooperation in the prisoner's dilemma game

In game theory, the emergence and maintenance of cooperative behavior within a group is a significant topic in evolutionary game theory and complex network theory. However, the limitations of a single mechanism in traditional networks restrict a thorough analysis of the sustenance and development of cooperative behavior, given the challenges posed by the diversity of social groups. To address this issue, this paper combines reinforcement learning game strategies with traditional prisoner's dilemma strategies based on two-layer coupled network to investigate the transmission of cooperative behavior among individuals in games. In our research, we study the evolutionary pattern and phase transitions using the Monte Carlo method. We use the prisoner's dilemma game as a mathematical model, establishing two subpopulations in each layer, with mutually payoff-neutral players between different subpopulations. This configuration results in intriguing spatiotemporal dynamics and patterns, leading to the spontaneous emergence of a cyclic dominance, where defectors from one group become prey for cooperators in another group, and vice versa. By simulating game evolution, we explore individual strategy changes and the impact of individual abilities on cooperative behavior in reinforcement learning. Extensive validations indicate that, in social dilemmas, adjusting the abilities of groups through effective guidance can sustain cooperative behavior. This guidance enables us to comprehend the stability of cooperation under adverse conditions. Simultaneously, the coexistence of two subpopulations greatly amplifies the complexity of evolutionary dynamics, causing a increase in cooperation rate.

The Intermediary Role of Electronic Word of Mouth in the Relationship Between Digital Marketing Techniques and Purchasing Behaviour to Enhance Decent Work and Economic Growth: A Survey of Students at the University of Mosul

Purpose: An analysis of the digital marketing techniques literature shows growing of these techniques among students at the University of Mosul. In order to achieve this goal, the study model was designed initially to address changes and competitive challenges. Therefore, this research aims to study the effect of using digital marketing techniques on purchasing behavior through the mediating role of electronic word of mouth (e-WOM) to support the achievement of the Sustainable Development Goals. Design/methodology/approach: The descriptive analytical approach was adopted to test the proposed model of technique whose validity was verified using survey data from (350) individuals. This study used (Amos 24) which is a structural equation modeling (SEM) software and a statistical technique to assess factor relationships. Results: The results of the study variables and their dimensions indicate that there is a significant impact relationship between digital marketing techniques and purchasing behavior. There is also a significant impact relationship between digital marketing techniques and e-WOM. There is also a significant impact relationship between e-WOM and purchasing behavior. There is a significant impact of digital marketing techniques on purchasing behavior through the mediating role of e-WOM. This indicates the ability of the study sample individuals to diagnose and know the concepts adopted by the study and attempt to diagnose them through the field aspect. Originality/Value: The identified factors play a major role in individuals' intentions towards using digital marketing techniques in purchasing behavior through the mediating role of e-WOM. The results of this study contribute to helping individuals build their needs and desires with high quality and distinct specifications.

The Impact of Religious Psychological Counseling on Enhancing Decision-Making Ability Among High School Students

The study is set out to determine the efficacy of psycho-religious counseling in enhancing decision-making abilities among high school girls in Amman, Jordan. In the study, a semi-experimental design was adopted that included a sample size of 100 female students taught at Princess Basma Comprehensive Secondary School for girls in Amman, Jordan. These students were divided into a group that was supposed to be exposed to psycho-religious counseling and another that was not exposed to it. The decision-making ability was assessed with a specially designed scale for this purpose, its correctness was checked, and the reliability was tested. This was an intervention for a religious counseling program with 15 sessions, 45 minutes each, conducted over a month and a half. The results were greatly significant to enhance decision-making skills among female students in the experimental group compared with the control group, with statistical analysis giving evidence as to the effectiveness of the program. The results of the study proved that psycho-religious counseling considerably improves an individual's decision-making ability and enhances the psychological and mental health of the students. Many recommendations have been put forward for opening similar counseling programs at other educational stages and including the development of decision-making ability through religious and psychological counseling.

MDES and Movie Watching: Examining Thought Patterns During Movie Watching Task

Multi dimensional experience sampling (MDES) occurs when questions are asked to participants while they are completing a certain task, and to assess and examine various facets and thought processes of participant’s experience while encountering that particular activity (Wallace et al., 2024). For instance, examining a participant's emotional state. This sampling method was applied to a movie watching study completed over the duration of May to August 2024. The study included 15 participants, who each observed a total of 15 film clips, in person in the lab located in Kingston, Ontario. The clips each ranged from one to three minutes, and comprised of various film genres. Participants would then complete an MDES questionnaire after observing each film clip. Once the data was obtained, a Principal Component Analysis (PCA) was completed. It was discovered that four components of thought were found including intrusive distraction, sensory engagement, episodic knowledge, and narrative comprehension of the clips. Episodic knowledge highlights the participant’s attention fixating on past events and their emotions and focuses less on current deliberate thoughts, and narrative comprehension concentrates on the participant’s problem-solving skills to understand the content occurring in the clips. Whereas, participant’s sensory engagement features their focus to sounds and images in the clips, and intrusive distraction aids in displaying that their focus is poor while viewing the clips, but their intrusive thoughts are high. Using the data it can be assumed that various thought processes can occur while an individual observes movies. It also aided in identifying any factors that could help or hinder participants' ability to focus on the movie clip task. The data can be beneficial in furthering our understanding of an individual's attentional abilities when viewing various genres and pieces of media. Works Cited Wallace, R. S., Mckeown, B., Goodall-Halliwell, I., Chitiz, L., Forest, P., Karapanagiotidis, T., Mulholland, B., Turnbull, A. G., Vanderwal, T., Hardikar, S., Alam, T. G., Bernhardt, B., Wang, H.-T., Strawson, W., Milham, M., Xu, T., Margulies, D., Poerio, G. L., Jefferies, E., … Smallwood, J. (2024). Mapping Patterns of Thought onto Brain Activity during Movie-Watching, 1–38. https://doi.org/10.1101/2024.01.31.578244

A Critical Study of Behavioural Factors Affecting Mutual Funds Investors with Special Reference to Pune District

The recently developed field of behavioural finance makes an effort to comprehend and clarify how investors are largely affected by emotions and perceptive errors in their decision-making process while investing. Psychological work suggests that investors do not behave in such a way in many scenarios. The capacity and ability of individuals to resolve complicated issues is limited, especially decision on financial investment. Behavioural factors play a pivotal role in determining the investment decisions. The study attempts to probe the mutual funds investment decision-making process of investors of Pune district so as to frame a model regarding investment decision-making

Understanding mobile health literacy among the working-age population: A cross-sectional study in Thailand

Mobile health (mHealth) literacy refers to the ability of individuals to seek, find, understand, and evaluate health information accessed via mobile devices. In Thailand, an assessment of mobile health literacy among the working-age population (25-59 years old) across the country is still needed to gain a better understanding of the current landscape of this concept as well as to create strategies for improvement. As a result, this study aimed 1) to assess mHealth literacy among the Thai working-age population, 2) to investigate differences in mHealth literacy among the Thai working-age population classified by demographic variables, and 3) to identify the predictive factors affecting mHealth literacy among the Thai working-age population. Cross-sectional survey research was conducted in this study with samples consisting of 600 working-age individuals derived from six regions across the country. Respondents were randomly selected using a multi-stage sampling method. Data were collected by a self-administered questionnaire. Mean, SD, t-test, One-Way ANOVA, and multiple regression analysis [MRA] were used for data analysis at a .05 level of significance. The results found that 1) the samples showed a high level of mHealth literacy (Mean = 4.32, SD = 0.58) 2), differences in mHealth literacy level were classified by gender, age, income, education, and region, and 3) perceived behavioral control, attitudes, and subjective norms were factors significantly affecting mHealth literacy. These findings can be used to plan and develop strategies for improving mHealth literacy among the Thai working-age population more effectively.

Investigating Noun and Verb Naming in Behavioral Variant of Frontotemporal Dementia and Non-Patients Persian-Speaking

Introduction: Due to the prevalence of cognitive disorders, such as the behavioral variant of frontotemporal dementia (bvFTD) and the consequences that these disorders follow, early diagnosis and awareness of the deficiencies of these people in the cognitive and language areas is essential. Given that language is dependent on culture, examining the linguistic characteristics of such patients in different languages can provide valuable findings. Therefore, this study compares noun and verb naming abilities in individuals with bvFTD and non-patients Persian-speaking. Materials and Methods: In this cross-sectional study, 3 cognitive tests, including frontal assessment battery (FAB), Montreal cognitive assessment, and mini-mental state examination (MMSE), along with 2 noun naming and verb naming tests were performed on 15 patients with bvFTD and 30 homogeneous non-patient individuals. Results: The bvFTD group had significantly different scores for both noun and verb naming compared to the non-patient group (P<0.05). Meanwhile, the bvFTD group was more impaired in naming verbs than nouns, with the largest difference between groups in the verb naming task. Conclusion: the results showed that bvFTD patients have poorer noun and verb naming abilities than non-patients. In particular, in verb naming, they showed more deficits than nouns. One possible explanation is that the processing of verbs is more complicated than nouns and involves a more complex neural system and cognitive processes than noun processing. Another possibility is that verbs rely more heavily on frontal and temporal regions of the brain, which are typically affected by bvFTD.

The relationship between students' computational estimation skills and mathematical self-efficiency

The factors related to estimating skills are twofold: cognitive and affective perspectives. Perception of self-efficacy in mathematics, one of the affective factors, is essential for the individual's capacity, abilities, and self-belief in mathematics for the mathematics course. The present study examined the relationship between students' computational estimation skills and mathematical self-efficacy perceptions. For this purpose, two sets of instruments were used as data collection tools: a computational estimation skills task and a mathematical self-efficacy perceptions scale. A correlational design was used in this study, and a total of 83 eighth-grade students participated in the research. As a result, it was concluded that there was a moderately positive and statistically significant relationship between computational estimation skills and mathematical self-efficacy perceptions. Students experience more stress when making estimations compared to mathematical computations whose results are specific. In addition, students mostly need to correct their estimations in questions related to computations with fractions, and they mostly use the rounding strategy when making estimations. These results are further discussed in relation to the perspective of supporting children’s abilities for estimations at the primary school.

Evaluation of Knowledge, Attitude, and Practice of Community Pharmacists in Managing Chronic Diseases in Lahore, Pakistan

Background: The rising number of chronic illnesses such as asthma, diabetes, osteoarthritis, hypertension, and chronic kidney disease (CKD) presents a major danger to the worldwide health community. The ability of individuals to successfully manage their medical problems with the help of healthcare professionals is essential to the effective control of chronic illnesses. Objective: The current study focuses to evaluate the knowledge of community pharmacist’s regarding chronic disease management, their attitude, and their practice to control chronic diseases. Methods: A cross-sectional survey-based study was conducted using random sampling method in Lahore, Pakistan. The samples collected for this study was 110. However, the final sample size was 93, the remaining forms were discarded. Data was collected by visiting community pharmacies in Lahore. The filled questionnaires were analyzed by using Statistical Package for Social Sciences program software (SPSS Inc., version 21.0, IBM corp., Armonk NY, USA). P-value of less than 0.05 were considered as statistically significant values. Results: The results, with a p value of 0.001, indicate a significant difference in adequacy of knowledge between the male and female groups. Majority of the participants have bachelor’s education and are unmarried. The p-value of 0.871 for level of education shows insignificant association between the higher education and better practice scores. The most important finding in this study is significant relationship between technology proficiency and adequacy of knowledge with p-value of 0.005. This shows that those who are more proficient in the technology are significantly more likely to have adequate knowledge. Conclusion: This study concludes that the majority of community pharmacists had adequate knowledge regarding chronic disease management. But showed neutral attitude and fair practice towards the control of chronic diseases. In order to optimize the management of chronic diseases, community pharmacists need to exhibit best practices and a positive attitude.

Exploring the potent enhancement effects of plyometric training on vertical jumping and sprinting ability in sports individuals.

This meta-analysis examines the impact of different combinations of plyometric training (complexity, training volume, and rest intervals) on immediate vertical jump and sprint performance in athletes. A systematic search was conducted in four databases, and Cochrane guidelines were used to evaluate the quality of included studies. Review Manager 5.4 software was employed to analyze outcome measures. Nineteen randomized controlled trials involving 293 participants were included. Single plyometric training-induced post-activation potentiation (PAP) had a slight positive effect on vertical jump performance [SMD = -0.24, 95% CI (-0.38, -0.1), P = 0.0009]. Optimal results were observed with rest intervals of 0.3-4min (SMD = 0.30, P = 0.0008). Sprint performance showed slight improvement [SMD = 0.27, 95% CI (0.03, 0.52), P = 0.03]. Complex plyometric training had a moderate effect on vertical jump performance [SMD = 0.58, 95% CI (-0.86, -0.23), P = 0.002], with the best outcomes seen with rest intervals exceeding 8min (SMD = 0.77). Sprint performance also improved significantly [SMD = 0.8, 95% CI (0.01, 1.59), P = 0.05]. Single-session plyometric training did not significantly enhance vertical jump performance [SMD = -0.19, 95% CI (-0.41, -0.02), P = 0.07], but had a notable effect on sprint performance [SMD = 0.8, 95% CI (0.01, 1.59), P = 0.05], particularly with rest intervals exceeding 8min (SMD = 0.77). Multiple-session plyometric training improved vertical jump (SMD = 0.43, 95% CI [0.01, 1.59), P = 0.00001 < 0.05], with optimal effects observed at rest intervals of 5-7min (SMD = 0.64). Sprint performance also improved [SMD = 0.46, 95% CI (0.01, 0.81), P = 0.01 < 0.05]. Plyometric training as an activation method has significant enhancing effects, depending on training complexity, volume, and rest intervals.

Evaluation of Psychometric Proprieties of Mann Assessment of Swallowing Ability (MASA) in Italian Language: A Cross-Sectional Study.

The aim of this cross-sectional study was to translate, culturally adapt, and evaluate the psychometric properties of the Italian version of the Mann Assessment of Swallowing Ability (MASA) in post-stroke individuals. The original MASA scale was translated and culturally adapted from English to Italian following the international guidelines. The internal consistency and test-retest reliability of the MASA-IT were assessed, and its concurrent validity was examined through Pearson correlation coefficients with the Italian versions of two established gold standard scales for dysphagia assessment: the Dysphagia Outcome Severity Scale (DOSS) and the De Pippo Test-Three Oz Water Swallow. The MASA-IT was administered to 78 participants. The items demonstrated excellent internal consistency, with Cronbach's alpha ranging between 0.86 and 0.89. The interclass correlation coefficient was 0.98 for inter-rater reliability and 0.99 for intra-rater reliability, indicating high reproducibility. Regarding concurrent validity, the MASA-IT showed a strong direct correlation with the DOSS scale (r = 0.949, p = 0.01) and an inverse correlation with the De Pippo Test (r = -0.783, p = 0.01), confirming its good concurrent validity. The Italian version of the Mann Assessment of Swallowing Ability (MASA-IT) is a reliable and valid tool for assessing swallowing ability in post-stroke patients. Its strong psychometric properties make it well suited for clinical use in Italy.

Large language models, politics, and the functionalization of language

AbstractThis paper critically examines the political implications of Large Language Models (LLMs), focusing on the individual and collective ability to engage in political practices. The advent of AI-based chatbots powered by LLMs has sparked debates on their democratic implications. These debates typically focus on how LLMS spread misinformation and thus hinder the evaluative skills of people essential for informed decision-making and deliberation. This paper suggests that beyond the spread of misinformation, the political significance of LLMs extends to the core of political subjectivity and action. It explores how LLMs contribute to political de-skilling by influencing the capacities of critical engagement and collective action. Put differently, we explore how LLMs shape political subjectivity. We draw from Arendt’s distinction between speech and language and Foucault’s work on counter-conduct to articulate in what sense LLMs give rise to political de-skilling, and hence pose a threat to political subjectivity. The paper concludes by considering how to reconcile the impact of LLMs on political agency without succumbing to technological determinism, and by pointing to how the practice of parrhesia enables one to form one’s political subjectivity in relation to LLMs.

HMM for discovering decision-making dynamics using reinforcement learning experiments.

Major depressive disorder (MDD), a leading cause of years of life lived with disability, presents challenges in diagnosis and treatment due to its complex and heterogeneous nature. Emerging evidence indicates that reward processing abnormalities may serve as a behavioral marker for MDD. To measure reward processing, patients perform computer-based behavioral tasks that involve making choices or responding to stimulants that are associated with different outcomes, such as gains or losses in the laboratory. Reinforcement learning (RL) models are fitted to extract parameters that measure various aspects of reward processing (e.g. reward sensitivity) to characterize how patients make decisions in behavioral tasks. Recent findings suggest the inadequacy of characterizing reward learning solely based on a single RL model; instead, there may be a switching of decision-making processes between multiple strategies. An important scientific question is how the dynamics of strategies in decision-making affect the reward learning ability of individuals with MDD. Motivated by the probabilistic reward task within the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study, we propose a novel RL-HMM (hidden Markov model) framework for analyzing reward-based decision-making. Our model accommodates decision-making strategy switching between two distinct approaches under an HMM: subjects making decisions based on the RL model or opting for random choices. We account for continuous RL state space and allow time-varying transition probabilities in the HMM. We introduce a computationally efficient Expectation-maximization (EM) algorithm for parameter estimation and use a nonparametric bootstrap for inference. Extensive simulation studies validate the finite-sample performance of our method. We apply our approach to the EMBARC study to show that MDD patients are less engaged in RL compared to the healthy controls, and engagement is associated with brain activities in the negative affect circuitry during an emotional conflict task.

Training of spatial cognitive abilities reduces symptoms of visually induced motion sickness.

This study aims to explore the effectiveness of enhancing individual spatial cognitive abilities in alleviating the negative symptoms of visually induced motion sickness (VIMS). Additionally, it seeks to develop innovative intervention methods to improve spatial cognition and identify new treatment approaches for VIMS. The study investigated the impact of innovative interventions on spatial cognitive abilities and their modulation of VIMS susceptibility. A total of 43 participants were recruited (23 in the experimental group and 20 in the control group). The experimental group underwent six sessions of spatial cognitive ability training, while the control group engaged in activities unrelated to spatial cognition. The analysis revealed that the spatial cognitive ability scores of the experimental group significantly improved after the intervention. Furthermore, the experimental group exhibited significant differences in nausea, oculomotor, disorientation, and total SSQ scores before and after the intervention, indicating that the intervention effectively mitigated VIMS symptoms. This study developed a virtual reality training method that effectively enhances individual spatial cognitive abilities and significantly alleviates VIMS symptoms, providing a novel and effective approach for VIMS intervention and treatment.

Dysregulation of lncRNA TFAP2A-AS1 is involved in the pathogenesis of pulpitis by the regulation of microRNA-32-5p.

This study was designed to evaluate TFAP2A-AS1 expression in the dental pulp of teeth with or without pulpitis and to determine the function of TFAP2A-AS1 in pulp cells. GSE92681 was analyzed to filter out differentially expressed lncRNAs. Pulp samples from teeth with pulpitis and healthy teeth (control) were examined using real-time (RT) quantitative polymerase chain reaction (qPCR). Human dental pulp stem cells (hDPSCs) were cultured in a specific medium for osteogenic induction, or treated with lipopolysaccharide (LPS) to simulate inflammation. The viability and apoptosis of human DPSCs (hDPSCs) were determined by XTT assay and apoptosis detection kit. Inflammation was induced by LPS and assessed by measuring the expression and release of inflammatory cytokines after TFAP2A-AS1 knockdown. Osteogenic differentiation of hDPSCs was investigated by determining expression levels of osteogenic markers and alkaline phosphatase (ALP) activity after TFAP2A-AS1 overexpression. The downstream microRNA (miRNA) was predicted. Dual-luciferase reporter was used to confirm the binding between miR-32-5p and TFAP2A-AS1. The expression of TFAP2A-AS1 was evaluated in inflamed pulp using RT-qPCR. TFAP2A-AS1 had a discriminatory ability for healthy individuals and patients with pulpitis. The expression of TFAP2A-AS1 decreased upon the osteogenic differentiation of hDPSCs, and increased upon the LPS induction. TFAP2A-AS1 can reverse the osteogenic differentiation of hDPSCs, as evidenced by decreased levels of dentine sialophosphoprotein, dentin matrix protein-1, and ALP activity. TFAP2A-AS1 knockdown can promote cell proliferation of hDPSCs and relieve LPS-induced inflammation, as evidenced by decreased levels of TNF-α, IL-1β, and IL-6. miR-32-5p was identified as a downstream miRNA of TFAP2A-AS1. This study demonstrated the expression and potential function of TFAP2A-AS1 in the human dental pulp. TFAP2A-AS1 can inhibit odontogenic differentiation but promote inflammation in pulp cells.