Bionic Intelligent Interaction Helmet: A Multifunctional-Design Anxiety-Alleviation Device Controlled by STM32

Sensors, Год журнала: 2025, Номер 25(10), С. 3100 - 3100

Опубликована: Май 14, 2025

Due to accelerated urbanization, modern urban residents are facing increasing life pressures. Many citizens experiencing situational aversion in daily commuting, and the deterioration traffic environment has led psychological distress of varying degrees among dwellers. Cyclists, who account for about 7% commuters, lack a sense belonging space experience significant deficiencies corresponding infrastructure, which causes more people face barriers choosing cycling as mode transportation. To address aforementioned issues, this study proposes bionic intelligent interaction helmet (BIIH) designed validated based on principles bionics, undergone morphological design structural validation. Constructed around STM32-embedded development board, BIIH is an integrated smart engineered perceive environmental conditions enable both human-machine interactions environment-machine interactions. The system incorporates array sophisticated electronic components, including temperature humidity sensors; ultrasonic ambient light voice recognition modules; cooling fans; LED indicators; OLED displays. Additionally, device equipped with mobile power supply, enhancing its portability ensuring operational efficacy under dynamic conditions. Compared conventional helmets analogous purposes, offers four distinct advantages. Firstly, it enhances wearer's perception, thereby improving safety during operation. Secondly, real-time function that optimizes while mitigating stress. Thirdly, through principles, exhibits increased specific stiffness, integrity. Finally, device's storage capabilities render portable, autonomous, adaptable, facilitating iterative improvements fostering self-sustained development. Collectively, these features establish methodological technical foundation exploring novel research scenarios prospective applications.

Язык: Английский

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Consumer fear and responses in proximity to war

Journal of Business Research, Год журнала: 2025, Номер 197, С. 115458 - 115458

Опубликована: Май 19, 2025

Язык: Английский

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Is language proficiency linked to intercultural communicative competence?

Language Culture and Curriculum, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Май 22, 2025

Язык: Английский

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Impact of COVID-19 Confinement on Mental Health in Youth and Vulnerable Populations: An Extensive Narrative Review

Sustainability, Год журнала: 2023, Номер 15(4), С. 3087 - 3087

Опубликована: Фев. 8, 2023

The objective of this narrative review is to analyze the impact COVID-19 on mental health particularly vulnerable groups. This information will allow a better understanding determining factors that influence appearance and/or maintenance mood disorders. To achieve main study, critical was carried out in which primary sources such as scientific articles, secondary databases, and other appropriate reference indexes were considered. results indicated there an increase diagnosis disorders use medication associated with these disorders, mainly during period reclusion declared worldwide March 2020. In addition, risk loneliness, lack resilience, adequate coping strategies negatively impacted future consequences may be reflected over many years thereafter, it important all data obtained from point forward considered by professionals general population. can starting for looking directly at most populations considering both resources available them possible aftermath traumatic everyone’s lives.

Язык: Английский

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A deep learning and clustering‐based topic consistency modeling framework for matching health information supply and demand

Journal of the Association for Information Science and Technology, Год журнала: 2023, Номер 75(2), С. 152 - 166

Опубликована: Ноя. 1, 2023

Abstract Improving health literacy through information dissemination is one of the most economical and effective mechanisms for improving population health. This process needs to fully accommodate thematic suitability supply demand reduce impact overload supply–demand mismatch on enthusiasm acquisition. We propose a topic modeling analysis framework that integrates deep learning methods clustering techniques model supply‐side demand‐side topics quantify alignment demand. To validate effectiveness framework, we have conducted an empirical dataset with 90,418 pieces textual data from two prominent social networking platforms. The results show in general has not yet met demand, been considerable extent, especially disease‐related topics, there clear inconsistency between sides same topics. Public policy‐making departments content producers can adjust their selection strategies according distribution identified thereby public dissemination.

Язык: Английский

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Understanding the impact of government social media on citizens’ unverified information avoidance behavior during health crises: the health belief model

Online Information Review, Год журнала: 2024, Номер unknown

Опубликована: Сен. 4, 2024

Purpose Unverified information avoidance behavior refers to the conscious effort made by individuals avoid consuming that has not been verified credible sources. This is essential in preventing spread of misinformation can hinder effective public health responses. While previous studies have examined general, there a lack research specifically focusing on unverified during crises. study aims fill this gap exploring factors lead social media users’ crises, providing novel insights into determinants protective behavior. Design/methodology/approach We based our model belief and validated it using data collected from 424 who use media. The proposed was tested partial least squares structural equation modeling (PLS-SEM) approach. Findings Our results indicate individuals’ government participation (following accounts joining groups) affects their beliefs (perceived severity benefits avoidance), which turn trigger Originality/value contributes current literature crisis management implications these findings for policymakers, platforms theory are further discussed.

Язык: Английский

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Infodemic: Challenges and solutions in topic discovery and data process

Archives of Public Health, Год журнала: 2023, Номер 81(1)

Опубликована: Сен. 7, 2023

The Coronavirus Disease 2019 (COVID-19) pandemic was a huge shock to society, and the ensuing information problems had impact on society at same time. urgent need understand Infodemic, i.e., importance of spread false related epidemic, has been highlighted. However, while there is growing interest in this phenomenon, studies topic discovery, data collection, preparation phases analysis process have lacking. Since epidemic unprecedented not ended day, we aimed examine existing Infodemic-related literature from January December 2022. We systematically searched ScienceDirect IEEE Xplore databases with some search limitations. From selected titles, abstracts keywords, limitations sections. conducted an extensive structured by filtering sorting out available information. A total 47 papers up meeting requirements review. Researchers all these literatures encountered different challenges, most which were focused collection step, few challenges phase almost none discovery section. mainly divided into points how collect quickly, get required samples, filter data, what do if set too small, pick right classifier deal drift diversity. In addition, researchers proposed partial solutions also possible solutions. This review found that Infodemic rapidly research area attracts disciplines. number field increased significantly recent years, countries, including United States, India, China. are easy, each step faces challenges. While emerging field, still many be addressed. These findings highlight for more articles address issues fill gaps.

Язык: Английский

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Understanding SNS use reduction from the perspective of the cognitive-affective model

Internet Research, Год журнала: 2024, Номер unknown

Опубликована: Окт. 26, 2024

Purpose This investigation delves into the elements influencing social networking sites (SNS) use reduction behavior through lens of cognitive-affective (CA) model to understand driving forces behind decline in SNS use. Design/methodology/approach Following CA model, this research introduces a theoretical framework that integrates emotions regret and guilt along with principles cognitive dissonance theory. The proposed was subjected empirical validation, utilizing 453 responses gathered from Instagram users. Findings results suggest have favorable impact on users’ intention decrease their usage, exerting an indirect positive influence these emotions. Additionally, further examination unveils fear moderates connection between addiction components. Research limitations/implications Additional affective may intricate relation intention. Originality/value contributes existing body knowledge information system lifecycle by examining shifts user behavior, notably transition excessive adoption strategies. Furthermore, it sheds light role elucidating reduce perspective model. study advances our current understanding how negative consequences arising usage plays as moderating factor underlying internal factors related reducing usage.

Язык: Английский

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Engaging with underserved communities during times of crises: A computational analysis of social media interactions with government information about COVID-19 economic relief programs

Telematics and Informatics, Год журнала: 2024, Номер 95, С. 102209 - 102209

Опубликована: Ноя. 1, 2024

Язык: Английский

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The nexus between teacher trainees’ digital literacy and online learning motivation

AAOU Journal/AAOU journal, Год журнала: 2024, Номер unknown

Опубликована: Дек. 27, 2024

Purpose This study examined the relationship between levels of digital literacy and online learning motivation (OLM) teacher trainees across various factors. Design/methodology/approach investigation utilized a quantitative research approach. The sample was selected through purposive method consisted 485 from School Education at Bangladesh Open University (BOU). Participants' OLM were assessed using validated five-point Likert scale questionnaires, consisting 17 items for six OLM. collection data conducted via cross-sectional survey. Descriptive analysis, Cronbach’s alpha, exploratory factor t -test ANOVA employed purpose analysis. Findings findings demonstrated that possessed sufficient concerning specified variables. Furthermore, there significant correlation BOU can evaluate all these to make rational decision regarding development its education programs. Originality/value has yielded insights into demographic characteristics, computer internet skills, virtual skills trainees, thereby enhancing existing body knowledge in this field.

Язык: Английский

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