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Asynchronous video interviews (AVIs) are a form of one‐way, technology‐mediated selection interview that can help streamline and increase flexibility in the hiring process and are used to hire millions of applicants per year. Although applicant reactions to AVIs in general tend to be more negative than with traditional interview modalities, AVIs can differ widely in how they are designed. For instance, applicants can be provided with more or less preparation time, response length, rerecording options, or rely on different question formats. This study examines how AVI design features impact applicant reactions, as well as the moderating role played by applicant age and gender. Data from 27,809 real job applicant's AVI experiences were collected in 11 countries (69.3% English‐speaking) from 33 companies and relating to 72 types of positions. Data were fitted with linear mixed‐effects models to account for nesting. Results showed that allowing more preparation time and offering the opportunity to rerecord responses were related to more favorable reactions, while including more questions was related to more negative reactions. Applicants above the age of 31 reacted especially negatively to AVIs with more questions while those below the age of 30 preferred being allocated longer maximum response lengths. Women reacted more positively to increased preparation time. These findings might help both AVI vendors and hiring organizations design AVIs that facilitate a positive applicant experience. Our research also expands knowledge on applicant reactions to interviews, highlights crucial differences from traditional formats, and calls for integrating applicant characteristics into current theoretical frameworks on applicant reactions to AVIs. [ABSTRACT FROM AUTHOR]

A major problem in employee selection coalesces around convincing decision‐makers (e.g., hiring managers) to use analytically derived models. Existing recommendations in the literature largely focus on convincing executives to adopt analytical models and then exert their top‐down influence on lower‐level hiring decisions. In contrast to these solutions, we explore end user modifiability (i.e., allowing decision‐makers to modify a statistical model before use) as a bottom‐up approach for increasing hiring managers' implementation of analytical recommendations. From a utility standpoint, we consider how incorporating end user modifiability into hiring decisions will result in a less statistically valid, but potentially more valuable, organizational selection process. We explore these ideas in two studies. In Study 1, we experimentally test whether model modification increases decision‐maker reliance on a statistical model, as well as how much decision‐makers need to modify a model in order to use it. In Study 2, we examine the extent that modifiability introduces implicit biases that might adversely affect marginalized groups. Results suggest that modifiability can increase decision‐makers' perceived usefulness of a model and, importantly, that only a small amount of modifiability is needed to elicit this effect. Further, end user modifications were statistically insignificant predictors of hiring rates across race‐based subgroups, though supplementary analyses suggest important cautionary nuance. Given that analytical models are rarely perfectly or wholly implemented, end user modifiability may offer a viable solution for organizations seeking to increase the implementation of algorithmic guidance in selection decisions, even if it deviates modestly from a statistical optimality. [ABSTRACT FROM AUTHOR]

In recent years, there has been rapid digitalization in agriculture, with India seeing a significant rise in agricultural technology (agtech) start‐ups. Many of these start‐ups promise to address the climate crisis by promoting the economic and ecological sustainability of agriculture through market‐driven business models. Using institutional ethnography and counteraccounting at an Indian agtech start‐up, this article illuminates social, economic, and ecological relationships that are obscured by one firm's accounting practices. It shows how, despite tech‐entrepreneurs intending to help farmers, violence remains built into the design and effects of rapidly scaled‐up (“blitzscaled”) sustainability programs. The article proposes violent sustainability as a concept to highlight the unintended harm caused to potential beneficiaries due to structural violence underlying tech‐entrepreneurialism and inherent design flaws in blitzscaled sustainability programs. In doing so, it challenges the normalization and monetization of recurrent failures prevalent in tech‐entrepreneurial ventures. [ABSTRACT FROM AUTHOR]

With the rise of digital technologies, a political‐economic configuration recognised as “platform capitalism” has raised concerns over monopolistic tendencies, lack of accountability, expanded rentiership, workers’ precarity, and more. Existing analyses, however, show a distinctly urban bias—centring on housing, transportation, retail, and gig labour—and have yet to engage with the agrarian dimensions of this phenomenon despite considerable potential impacts on the future of farming. Here we begin the process of theorising agrarian platform capitalism, offering a typology of platforms in the agri‐food sector, and bringing together critiques of platform capitalism with the distinctive features of agrarian political economy. Our analysis identifies four prominent characteristics of agrarian platform capitalism which largely corroborate existing critiques albeit with some distinctive contours. As in other sectors, platforms intensify rentiership regarding both real estate and digital assets. Agricultural platforms also display a familiar tendency to thrive in spaces of regulatory retreat and are in some cases even endorsed by regulatory agencies, highlighting the potential for public–private platformisation. Some agricultural platform companies deploy populist rhetoric beyond established tropes of consumer welfare, latching onto farmers’ deep frustrations with the highly concentrated agribusiness sector. Efforts to reign in agrarian platform power may be further constrained by legitimising discourses of hunger relief and sustainability. [ABSTRACT FROM AUTHOR]

Soybean is a rapidly growing agricultural crop, fueled by the rising global demand for animal feed, plant‐based proteins and essential nutrients for human consumption. Soybeans contain a wide range of essential nutrients that are vital for health and may play a significant role in disease prevention. Their nutritious composition has led to a diverse range of soy‐based foods and derivatives available on the market. A substantial amount of soybeans is allocated to the animal feed sector, human consumption, nutraceuticals and other industrial applications. Soybean has superior protein quality and digestibility compared to other legumes. It also contains abundant amounts of isoflavones, phytosterols and minerals that augment its nutritional value as a constituent of the human diet. Many different by‐products are produced during the processing of soy. Due to a lack of sustainable food manufacturing practices, a sustainable amount of these by‐products is discarded as waste, posing environmental challenges. Developing an effective waste management system for soybean by‐products can help address public health concerns and provide a cost‐efficient way to repurpose valuable components of soy, such as soy meal, okara and soy whey. Such valorization can mitigate the environmental impact of waste and contribute to malnutrition. This study aims to evaluate the sustainable use of soy by‐products to help preserve biodiversity and reduce food insecurity. This article thoroughly examines the fundamental components of soybean use in the fields of health and soybean by‐product processing. It provides a summary of cost‐efficient, feasible and ideal processing technologies. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Aims: To assess test–retest reliability of both food photography and food diary methods and validity of these data against known values derived from food labels. Methods: Test–retest reliability analyses of food diary and food photography were compared using single foodstuffs using intra‐class correlation coefficients, coefficients of variation, and limits of agreement. For food diaries, 24‐h test–retest reliability was also examined. Validity was assessed against weighed analyses. As part of habitual intake, a single foodstuff (randomly allocated from 14 common foods) was consumed by 26 participants over 24‐h. On two occasions (14 days apart), single‐blind dietary analyses allowed estimation of foodstuff‐specific energy and macronutrient content and 24‐h intakes. Results: For food diaries, test–retest reliability was acceptable (weight, energy, carbohydrate, protein, and fat: all intra‐class correlation coefficients: >0.990, coefficient of variation percentage: <0.1%, limits of agreements: <0.1 to <0.1, p > 0.05, and effect size: <0.01). For food photography, test–retest reliability was acceptable for weight, energy, carbohydrate, and protein (all intra‐class correlation coefficients: >0.898, coefficient of variation percentage: 3.6%–6.2%, limits of agreements: 1.1 to – 44.9, and effect size: 0.01–0.12). Food photography validity was worse than food diaries for all variables (percentage difference: 8.8%–15.3%, coefficient of variation percentage: 7.5%–13.8%, all p ≤ 0.05, and effect size: 0.001–0.11). Conclusions: Greater reliability and validity occurred in food diaries versus food photography. These findings suggest that using food photography may lead to an underestimation of energy and macronutrient content, which may have implications for dietary interventions and nutritional strategies. [ABSTRACT FROM AUTHOR]

Children with autism spectrum disorder (ASD) experience challenges with social skills when interacting with peers, which can affect their ability to form friendships and participate in inclusive settings. This study evaluated text messaging prompts and prompt fading delivered by a smart watch to increase social initiations of three adolescent students with ASD and their peers without ASD. We used a single‐case, multiple probe across participants design to assess participants' level of and type of independent and prompted appropriate social initiations without and with the intervention. Textual prompts substantially increased each participant's social initiations compared to baseline. Two participants remained reliant on textual prompts to make initiations, whereas the third was less reliant on prompts and continued to make independent initiations after prompts were completely faded. Participants' social skills gains maintained up to 3 weeks following intervention and participants and parents reported agreement with the goals, procedures, and outcomes of the strategy. [ABSTRACT FROM AUTHOR]

Although numerous empirical studies have scrutinized the impact of technological innovation, renewable energy, and natural resources on carbon emissions (CCO2), there is a lack of empirical knowledge of consumption‐based CCO2 emissions. This study examines the impacts of technological innovation, renewable energy, and natural resources factors on CCO2 emissions in China. In addition, the present work considers the role of the banking sector in environmental neutrality in China from 1990 to 2019. For this purpose, the sophisticated approach of "bootstrap autoregressive distributed lag (BARDL)" is applied to explore the association of the selected indicators on CCO2. The outcomes indicate that (i) economic growth and natural resources negatively impact environmental neutrality; (ii) environment‐related technologies and renewable energy are crucial to promoting environmental neutrality; and (iii) banking sector in China has a positive association with CCO2 emissions. The findings of this work recommend using effective measures to mitigate ecological pollution by using green energy sources and strengthening the banking sector by offering environment‐friendly investment loans. Likewise, strategies should be designed that reinforce sustainable development. [ABSTRACT FROM AUTHOR]

Background: Mobile health (mHealth) technology use may reduce alcohol use and related negative consequences; however, little is known about its efficacy without prompting from researchers or pay‐per‐use. This exploratory analysis assessed relationships between mHealth technology use frequency and alcohol‐use outcomes. Methods: Young adults who drink heavily (N = 97, Mage = 23, 51% male, 64% non‐Hispanic White, Mdrinks/week = 21) had the option to use three mHealth technologies (breathalyzer device/app, blood alcohol content estimator app, drink counting via text message) while drinking for 2 weeks. Relationships between alcohol‐related outcomes and any, multiple, and specific mHealth technology use across study days and drinking days were evaluated via bivariate correlations and multiple regressions. Results: Participants used one or more mHealth technologies on approximately 68% of drinking days (33% of field days), with multiple technologies used on 34% of drinking days. Bivariate correlations revealed that a higher percentage of study days with any mHealth technology use was related to higher mean weekly drinks. However, a higher percentage of drinking days with any mHealth technology use was related to lower mean weekly drinks, percent of heavy and high‐intensity drinking days, and negative consequences. There were several significant, inverse correlations between alcohol variables and using the mHealth technologies that provided personalized feedback. Multiple regression analyses (holding sex and baseline alcohol variables constant) indicated that a higher percentage of drinking days with any mHealth technology use was related to lower mean weekly drinks and lower percentage of heavy drinking days. Conclusions: Using mHealth technologies to moderate drinking without direct prompting from the research team or per‐use incentives was related to less overall alcohol use and heavy drinking. This indicates potential real‐world engagement with mHealth apps to assist with in‐the‐moment drinking. Normalizing mHealth technology use during drinking could help curb the public health crisis around harmful alcohol use in young adult populations. [ABSTRACT FROM AUTHOR]

Aim: In response to the growing popularity of mobile devices among older adults in Japan, this study aimed to establish a reliable and valid measure of mobile device proficiency by developing a Japanese version of the Mobile Device Proficiency Questionnaire (MDPQ‐J) for the Japanese population. Methods: To evaluate the reliability and validity of the MDPQ‐J, we administered the questionnaire to 100 young or middle‐aged participants (37.78 ± 13.90 years, 57.00% women), and 62 older participants (75.90 ± 6.01 years; 59.68% women). Results: The MDPQ‐J showed a high degree of internal consistency (Cronbach's α = 0.98). Moreover, MDPQ‐J scores in older participants tended to be lower than those in young or middle‐aged participants. In terms of validity, the MDPQ‐J score of older participants was significantly associated with age (ρ = −0.31), the amount of time using a mobile device per day (ρ = 0.64), and the system usability scale (ρ = 0.39). Additionally, the MDPQ‐J scores were significantly positively associated with the importance (ρ = 0.37), performance (ρ = 0.57), and satisfaction (ρ = 0.29) associated with daily mobile device use in older participants. Conclusions: The high reliability and validity of the MDPQ‐J in the Japanese population highlight its utility in adapting mobile devices for older adults, which is crucial in an increasingly digital society. Further research should explore the mediating role of mobile device proficiency in various health‐related outcomes. Geriatr Gerontol Int 2024; 24: 1223–1232. [ABSTRACT FROM AUTHOR]

Contemporary technoscience is rife with hype—inflated claims that rapidly propagate in favor of the next "new thing." While scholars often strive to debunk and dispel hype, Tanzanian technologists working in health care face a different challenge: navigating hype. As these technologists embark on new projects in machine learning and other forms of AI, contending with hype becomes crucial. These actors operate on the margins of global technoscientific worlds, aiming to create novel African futures that promote technological sovereignty. To do so, they must grapple with hype and its political economy. For anthropologists, merely transforming these technologists' experiences into an ethnographic object won't teach us much; a much more illuminating task is to examine how their work can provoke us to refine and transform our own knowledge practices. This is especially important because their innovations can seem both inspiring and dispiriting, both entrenched in and opposed to the troublesome technological global order. [ABSTRACT FROM AUTHOR]

An introduction to articles in the issue is presented on topics including the notion of information poverty to information behavior, modeling the information-seeking behavior of social scientists, and a nonlinear model of information-seeking behavior.

Background: Implementation issues often impede the realisation of the potential benefits of technology in disability care organisations for people with disabilities. Therefore, we conducted a longitudinal study to gain insights into the barriers and facilitators to implementation. Methods: From 2019 to 2022, data were collected using questionnaires and interviews during 28 implementation projects in 26 disability care organisations. Results: Barriers and facilitators were identified using 9 themes and 26 subthemes. The main themes identified were finances, disability care organisations, internal collaborations, external collaborations, technology, care staff, project teams, people with disabilities, and context. Most factors mentioned as barriers in one organisation were mentioned as facilitators in others. This suggests that barriers can be resolved to improve implementation. Conclusion: A large number of barriers and facilitators spanning the organisation suggests that the implementation of technology should be considered an organisational reform. Acting upon them is crucial for the successful implementation of technology. [ABSTRACT FROM AUTHOR]

Aims: There are marked inequities in clinical outcomes and rates of diabetes technology use among youth with type 1 diabetes (T1D). The quantitative data from our mixed methods cohort study identified significant improvements in glycaemia and quality of life in participants. We aimed to use qualitative methods to provide further insight into our quantitative findings in the setting of underlying health disparities. Methods: Fifteen publicly insured, insulin pump‐naïve non‐Hispanic Black youth aged 6–21 years with T1D and baseline haemoglobin A1c (HbA1c) ≥86 mmol/mol (10%) and their parents participated in a mixed methods cohort study. Semi‐structured interviews were conducted separately with parents and youth after completion of 6 months of HCL use. Three topic areas were explored: (1) Experience using HCL, (2) barriers to HCL and (3) facilitators to accessing HCL. Semantic content analysis and consensus coding involving two team members were used to generate themes. Thematic saturation was achieved. Results: Youth (Medianage 14.9 years, 67% female) and parents (92% female) were interviewed. Youth and their parents reported that access to HCL provides a new outlook on living with T1D, although managing T1D is still hard. They felt that diabetes technology is most helpful for those struggling with management. Participants experienced barriers to access including misconceptions of HCL systems, clinician bias and systemic racism. They suggested these barriers can be overcome by offering diabetes technology education for all people with T1D, increasing awareness of HCL in the community and providing resources to overcome barriers created by social determinants of health. Conclusions: The voices of historically minoritised youth with suboptimal T1D control and their parents provide important, previously unreported experiences and perspectives on barriers and facilitators to using HCL that will shape interventions to improve equity in access to diabetes technology. [ABSTRACT FROM AUTHOR]

Background: Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health. Methods: In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty‐wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward. Results: Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty. Conclusions: Precision emergency medicine leverages new technology and data‐driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community. [ABSTRACT FROM AUTHOR]

I investigate the impact of automation on political behavior in postindustrial societies, particularly focusing on political disengagement. I argue that structural changes in the labor market lead to political alienation due to increased economic insecurities, diminished resources from lower wages, and greater economic polarization. Using hierarchical logistic modeling with varying intercepts by country, I present evidence from survey data across several advanced democracies. I find that workers exposed to technological change are less likely to feel close to a political party, participate in elections, and take part in protests. The impact of automation on political engagement is smaller among wealthier citizens and in highly unionized environments. The political message from these interaction effects speaks to the reinforcing forces between economic inequality and automation and the role of collective organization. My findings have important implications for understanding the links between structural change in labor markets and politics, especially since disengaged workers are the reservoir for radical right parties. [ABSTRACT FROM AUTHOR]

This article consistently elaborates the extra‐contextual nature of metaphysical knowledge. Metaphysicsis seen as a semantic construction of culture that produces a certain type of thinking, memory, and identification: that is, subjectivity, and sociality as an ethical and axiological model of interaction with the world and the Other. The paper argues that metaphysics is a kind of orientation in space and that culture is a semiotic way of world orientation, or collection of spaces into an intelligible structure, a specific characteristic of human existence in the universe. Indeed, metaphysics through the space of culture allows one to experience the universe empirically as unity, to assume the presence of meaning. Based on the analysis, the paper summarizes the definition of the phenomenon of culture as a specifically human way of mastering space and controlling time, consciousness as a topology of reflective practices, and virtual reality technology as a space of pure metaphysics. [ABSTRACT FROM AUTHOR]

Radiotherapy is an effective treatment method for cervical cancer and is typically administered as external beam radiotherapy followed by intracavitary brachytherapy. In Japan, center shielding is used in external beam radiotherapy to shorten treatment time and reduce the doses delivered to the rectum or bladder. However, it has several challenges, such as uncertainties in calculating the cumulative dose. Recently, external beam radiotherapy has been increasingly performed with intensity‐modulated radiotherapy, which reduces doses to the rectum or bladder without center shielding. In highly conformal radiotherapy, uncertainties in treatment delivery, such as inter‐fractional anatomical structure movements, affect treatment outcomes; therefore, image‐guided radiotherapy is essential for appropriate and safe performance. Regarding intracavitary brachytherapy, the use of magnetic resonance imaging‐based image‐guided adaptive brachytherapy is becoming increasingly widespread because it allows dose escalation to the tumor and accurately evaluates the dose delivered to the surrounding normal organs. According to current evidence, a minimal dose of D90% of the high‐risk clinical target volume is significantly relevant to local control. Further improvements in target coverage have been achieved with combined interstitial and intracavity brachytherapy for massive tumors with extensive parametrical involvement. Introducing artificial intelligence will enable faster and more accurate generation of brachytherapy plans. Charged‐particle therapies have biological and dosimetric advantages, and current evidence has proven their effectiveness and safety in cervical cancer treatment. Recently, radiotherapy‐related technologies have advanced dramatically. This review provides an overview of technological innovations and future perspectives in radiotherapy for cervical cancer. [ABSTRACT FROM AUTHOR]

Technology remains enmeshed in our daily lives and given its continuing presence in clinical practice and rapid technological proliferation; it becomes relevant for nurses to examine techno‐onto‐epistemology in relation to the discipline of nursing. This is critical considering the intersection of technology and nursing remains an area of ongoing discussion revealing a need for further philosophical reflection. To this end, this paper sought to examine the philosophy of technology from the engineering and humanities perspectives to contribute to the discussion regarding its intersection with the onto‐epistemology of nursing. Although technology seems to be constantly present in nursing practice, two opposing perspectives reflecting a love‐hate relationship is highlighted: technological optimism (promotes technology) and technological romanticism (dissuades technology). Based on Mitcham's interpretation of 'mutual relationship' and 'being‐with', a potential way to break away from the binary perspectives is to view the intersection of/relationship between technology and nursing as being on a continuum rather than entirely monolithic entities. Caring is presented as multidimensional reflecting actions and attitudes. Arguably, some caring actions may intersect with the engineering perspective to suggest that technology can support nurses in their roles, that is, by imitating some of what nurses do, but not to replace them. From the humanities perspective, technology is presented as a way of being with humans exercising control over what technology has to offer. Put together, it is clearly time to break away from the love‐hate relationship between nursing and technology. Although this emphasises a great need to build the technological competency of nurses, there is an even greater call for nurses to reflect on and voice the epistemological, ontological, axiological, and ethical issues that the application of technology raises for the discipline. [ABSTRACT FROM AUTHOR]

Purpose: To explore actions taken by health care professionals during a procedure with a child with autism spectrum disorder Design and Method: Critical incident technique was used, which is a technique with a qualitative descriptive retrospective design, to capture situations experienced by health care professionals during a procedure in an anaesthesia or radiology department. Health care professionals from anaesthesia and radiology departments (n = 20) were interviewed about situations affecting the procedure. Results: The findings revealed a broad range of actions (n = 205) taken by the health care professionals during a procedure with a child with autism spectrum disorder. The analysis resulted in two main areas: Finding a way to facilitate a procedure in a high technology environment and Creating a trustful relationship with a child with autism spectrum disorder. The most common action in the first area, was to adjust routines. In the second area the most common action was to take one step at a time and not force or rush the child during the procedure. Practice Implications: The health care professionals used a broad range of different actions to facilitate a procedure in the high technology environment for a child with ASD, which indicates the need for a flexible approach. The actions taken included both adjustments to the environment and enhancing interactions with the child. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study is to investigate whether conductive hearing loss (CHL) can be differentiated from sensorineural hearing loss in children ages 3–18 using a diotic and antiphasic digits‐in‐noise (DIN) tablet‐based test using existing adult cut‐off criteria. Methods: A blinded multi‐institutional prospective cohort of 64 children aged 3–18 scheduled for an audiometric soundbooth evaluation with a pediatric audiologist and a same‐day otolaryngologist examination were recruited for the study. Following a conventional audiogram, the subjects underwent diotic (same‐phased stimuli) and antiphasic (out‐of‐phase stimuli) DIN testing on a HearX Samsung Galaxy tablet with over‐the‐ear headphones, for a total of 128 measurements. DIN test results were compared with soundbooth audiometry using known adult "cut off criteria." Results: A logistic regression analysis adjusted for demographics (age, sex) and race was performed to compare CHL determination from DIN testing to CHL determination with soundbooth audiometry. The results showed 50% agreement with a p‐value of.753. The determinations based on combined DIN testing agreed with each other 33% of the time and had a p‐value of.373. Otologic pathology and age were not predictive of outcome. Conclusion: This preliminary analysis of DIN testing indicated that DIN and audiometric testing completed in a soundbooth were not significantly predictive of one another in the population of children aged 3–18 when using the adult cut‐off criteria for CHL differentiation. Given these findings, further testing is required in children to determine pediatric specific cut‐off values. [ABSTRACT FROM AUTHOR]

Privacy protection has become a central issue in information science, with the General Data Protection Regulation (GDPR) significantly impacting information ecosystems. Research gaps persist in understanding the causal relationship between GDPR implementation and websites' proactive changes, such as adopting privacy compliance technologies. This study aims to examine the influence of GDPR implementation on websites' information ecosystems and identify boundary conditions that may affect this relationship. Utilizing domain‐level data from a professional platform tracking website technologies before and after GDPR implementation, which encompasses a comprehensive longitudinal dataset of over 1.2 million websites, our results indicate that GDPR implementation has increased the decision, breadth, depth, and intensity of adopting related technologies. The variance in these adoptions is significantly shaped by the differing levels of institutional impacts experienced by trailblazing versus laggard industries. Our study contributes to the literature by revealing the importance of policy factors in fostering a healthier information ecosystem. We demonstrate the complex nature of the relationship between policy factors and technology adoption, highlighting the need for researchers to consider institutional context and industry‐specific characteristics. We further discuss valuable insights for relevant stakeholders. [ABSTRACT FROM AUTHOR]

This article explores the application of actor‐network theory (ANT) to the nursing profession, proposing a novel perspective in understanding nursing in the context of modern digital healthcare. Traditional grand nursing theories, while foundational, often fail to encapsulate the dynamic and complex nature of nursing, particularly in an era of rapid technological advancements and shifting societal dynamics. ANT, with its emphasis on the relationships between human and nonhuman actors, offers a framework to understand nursing beyond traditional paradigms. This article makes two key arguments: first, that nursing can be viewed as a highly organised social assemblage, where both human (nurses, patients and policymakers) and nonhuman actors (technologies, medical equipment, institutional policies) play a crucial role, and second, that ANT can be used to enhance existing nursing theory to better understand the role of technology in nursing practice. The article considers how ANT can provide a more holistic and adaptable model for describing the nursing profession, particularly in an era where technology plays an integral role in healthcare delivery. It discusses the implications of viewing nursing through ANT, highlighting the need for nursing education and practice to adapt to the interconnected and technologically advanced nature of modern healthcare. The article also acknowledges the limitations of ANT, particularly its potential oversimplification of the complex ethical dimensions inherent in nursing and its focus on observable phenomena. [ABSTRACT FROM AUTHOR]

One marker of expertise in sport is athletes' ability to anticipate future events. In the 4 × 100 m relay, these anticipation skills are an essential asset for initiating their run at the right time. However, no study has focused on describing the underlying perceptual‐motor processes involved. Virtual reality provides powerful tools to describe and understand these processes, overcoming the drastic constraints encountered in the real world. Nineteen athletes from the French national teams were immersed in a digital replica of the Stade de France and confronted with digital twins of potential partners based on motion capture. Their task was to initiate their run exactly when their virtual partner passed over a go‐mark placed on the ground. The timing of different body motor events and visual behavior were measured and analyzed. Results showed that the execution of this highly constrained task is the result of a significant reduction in the variability of motor events preceding the start. These findings reveal the implementation of a perceptual‐motor dialog until the initiation of the run. This study is a first step toward understanding the mechanisms underlying anticipation skills in the 4 × 100 m relay; it constitutes a preliminary step to the deployment of VR training protocols. Highlights: Virtual reality constitutes a powerful tool for characterizing and optimizing the anticipation skills of high‐level athletes. It allows not only to control and manipulate the context in which the training is carried out but also to precisely characterize the behavior produced.This study reveals that the anticipatory behavior of high‐level 4 × 100 m relay athletes is based on a close dialog between perception and action. The precise initiation of the race reflects the athlete's ability to regulate his preparatory movement on the basis of the information available about his partner.The analysis of the perceptual‐motor behavior produced by athletes not only reveals great anticipation capacities but also significant inter‐individual differences. This result justifies the design and implementation of personalized training protocols. [ABSTRACT FROM AUTHOR]

Exploring what modulates people's trust in evidence of hiring discrimination is crucial to the deployment of corrective policies. Here, we explore one powerful source of variation in such judgments: moral commitment to gender equality (MCGE), that is, perceptions of the issue as a moral imperative and as identity‐defining. Across seven experiments (N = 3579), we examined folk evaluations of scientific reports of hiring discrimination in academia. Participants who were more morally committed to gender equality were more likely to trust rigorous, experimental evidence of gender discrimination against women. This association between moral commitment and research evaluations was not reducible to prior beliefs, and largely explained a sex difference in people's evaluations on the issue. On a darker note, however, MCGE was associated with increased chances of fallaciously inferring discrimination against women from contradictory evidence. Overall, our results suggest that moral convictions amplify people's myside bias, bringing about both benefits and costs in the public consumption of science. [ABSTRACT FROM AUTHOR]

Introduction: Individuals with acquired brain injury (ABI) experience high rates of poor functional outcomes such as inability to complete activities of daily living (ADL). Occupational therapy needs to be customised to the individual's function, goals, and environment to facilitate improvement in ADLs after ABI. Virtual reality (VR) is a novel treatment approach that aims to improve skills within an individualised environment. This study aimed to review the current literature for the use of VR platforms that incorporate ADLs to improve functional outcomes after ABI. Methods: This review followed the six‐stage framework by Arksey & O'Malley (2005). Electronic databases were searched for peer‐reviewed journal articles based on inclusion and exclusion criteria. Results: One thousand and six hundred eighty articles were screened, including 413 full text articles and 13 articles were included for review. Among the 13 articles, six were RCTs and the rest were pre‐post intervention studies. Studies largely used non‐immersive VR platforms, which incorporated ADLs such as grocery shopping, aiming to improve functional outcomes. Consumer and community consultation: Consumer and community were not involved in executing this study. Conclusion: This review suggests mixed results if VR is effective at treating upper limb, cognition, and ADL function after ABI. Using their clinical reasoning, occupational therapists can determine the suitability of VR for ADL rehabilitation for specific patient populations and settings. Plain Language Summary Individuals who sustain an acquired brain injury can have difficulty performing their daily activities such as, making a meal or getting dressed, because of limited function (e.g., physical and cognitive problems). To help improve their ability to complete daily activities, occupational therapy needs to be customised to the individual's function, goals, and environment. Virtual reality is a new rehabilitation approach that allows individuals to improve their function in an individualised environment. In this study, we reviewed the current studies that have used virtual reality platforms that incorporate daily activities to improve function after acquired brain injury. We searched databases and screened the titles and abstracts of 1,680 studies. Then, 413 full‐text studies were screened, and 13 studies were included. Studies mostly used non‐immersive platforms to practise daily activities such as, grocery shopping, aiming to improve function after acquired brain injury. This review suggests mixed results if virtual reality can effectively treat function after acquired brain injury. [ABSTRACT FROM AUTHOR]

Diabetic foot ulcers (DFUs) are a growing public health problem, paralleling the increasing incidence of diabetes. While prevention is most effective treatment for DFUs, challenge remains on selecting the optimal treatment in cases with DFUs. Health sciences have greatly benefited from the integration of artificial intelligence (AI) applications across various fields. Regarding amputations in DFUs, both literature and clinical practice have mainly focused on strategies to prevent amputation and identify avoidable risk factor. However, there are very limited data on assistive parameters/tools that can be used to determine the level of amputation. This study investigated how well ChatGPT, with its lately released version 4o, matches the amputation level selection of an experienced team in this field. For this purpose, clinical photographs from patients who underwent amputations due to diabetic foot ulcers between May 2023 and May 2024 were submitted to the ChatGPT‐4o program. The AI was tasked with recommending an appropriate amputation level based on these clinical photographs. Data from a total of 60 patients were analysed, with a median age of 64.5 years (range: 41–91). According to the Wagner Classification, 32 patients (53.3%) had grade 4 ulcers, 16 patients (26.6%) had grade 5 ulcers, 10 patients (16.6%) had grade 3 ulcers and 2 patients (3.3%) had grade 2 ulcers. A one‐to‐one correspondence between the AI tool's recommended amputation level and the level actually performed was observed in 50 out of 60 cases (83.3%). In the remaining 10 cases, discrepancies were noted, with the AI consistently recommending a more proximal level of amputation than what was performed. The inter‐rater agreement analysis between the actual surgeries and the AI tool's recommendations yielded a Cohen's kappa coefficient of 0.808 (SD: 0.055, 95% CI: 0.701–0.916), indicating substantial agreement. Relying solely on clinical photographs, ChatGPT‐4.0 demonstrates decisions that are largely consistent with those of an experienced team in determining the optimal level of amputation for DFUs, with the exception of hindfoot amputations. [ABSTRACT FROM AUTHOR]

The global economic landscape has recently undergone significant changes, marked by the rise of neo‐protectionist policies and the emergence of a new techno‐economic paradigm driven by smart automation technologies such as artificial intelligence and robots. Advanced nations have increasingly used neo‐protectionism and smart automation technologies to address their structural problems. These policies will inevitably trigger changes in global supply chains and trade networks. This could undermine the competitive advantages of catch‐up nations, and an economic growth strategy centred on foreign direct investments. While these changes in the global economy may have negative impacts on the economic progress of some catch‐up countries, they may open new windows of opportunity for others. This article examines the challenges and opportunities for catch‐up nations in an era of neo‐protectionism and smart automation technologies. [ABSTRACT FROM AUTHOR]

ABSTRACT Objective Design and methods Results Conclusion The present study aims to investigate the relationship between cyberbullying/victimization and technology addiction among Turkish adolescents.A descriptive cross‐sectional study was conducted with 572 adolescents between the ages of 14 and 18. The study employed the Bullying and Cyber Bullying Scale for Adolescents (BCS‐A) to evaluate cyber victimization (BCS‐A VCSs) and cyberbullying (BCS‐A BCSs) subdimensions, in conjunction with the Technology Addiction Scale (TAS).Among adolescents, 38.5% exhibited a moderate level of technology addiction. The results revealed positive and weak correlations between TAS scores and BCS‐A VCSs (p < 0.001), as well as between BCS‐A VCSs and BCS‐A BCSs scores at a moderate level (p < 0.001). The study revealed that exposure to inappropriate content, encountering humiliating expressions on social media, sending inappropriate messages or videos to friends, and facing threats were significant predictors of BCS‐A VCS scores. Furthermore, the transmission of inappropriate messages or videos, the encounter of cyberbullying victims, the exclusion of friends from online platforms, the experience of distress caused by humiliating expressions, and the sharing of private content were identified as significant predictors of the total BCS‐A BCSs score.The study demonstrated a correlation between elevated technology addiction and involvement in cyberbullying or victimization among adolescents. Moreover, the study identified significant predictors of cyberbullying and cyber victimization. It is recommended that health professionals develop intervention programs for safe technology use and the prevention of cyberbullying and victimization. These programs should aim to raise societal awareness, particularly among parents and teachers. [ABSTRACT FROM AUTHOR]

Background Objectives The disruptive forces of the COVID‐19 pandemic offer an example of how cutting‐edge innovations such as telehealth became established in society. Simultaneous to the rise of telehealth, artificial intelligence (AI) has advanced rapidly and with the potential to further disrupt services across the spectrum of technology and healthcare delivery. Deemed as the next frontier in the mental health field, AI technology has introduced cutting‐edge innovations within human‐centred fields across disciplines (Espejo [Academic Psychiatry, 47, 437 and 2023]). This paper calls into question the transformative potential of AI in a field, such as psychotherapy and professional counselling, which is significantly based on human relations. As professional counsellors, it is imperative that AI does not dehumanise effective services based on empathy and positive regard.This article reviews the current landscape of AI and counselling research and offers two main messages: (1) what new or revised ethical standards are needed for clinical practice to prevent negative consequences of improper use when integrating AI and (2) the practical implications for effective multicultural counselling when integrating AI into psychotherapy and counselling services. [ABSTRACT FROM AUTHOR]

Critical social science research on conservation practice has long articulated the tactics that emerge out of a history of carcerality, environmental racism, colonialism, and violence against oppressed peoples. Despite these critiques, there has been little change in how conservation is conceptualised and implemented, resulting in the continuation of violence, racism, and injustice. Abolition ecologies offer a framework to see the world through a carceral lens and imagine an abolitionist future for conservation. Using Kenya as a case study, we outline the three ways that carcerality is apparent in and integral to contemporary conservation practices: legal/juridical, technoscience, and privatisation. Illuminating the carcerality of conservation practices, we posit, allows scholars and practitioners to begin to imagine and work towards a more just and liberatory conservation movement, one that minimises the perpetuation and reproduction of white supremacy, violence, and environmental injustice. [ABSTRACT FROM AUTHOR]

Background: Artificial intelligence (AI) has emerged as a tool to potentially increase the efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims to provide an overview of applications of AI in cardiac surgery. Methods: A systematic literature search on AI applications in cardiac surgery from inception to February 2024 was conducted. Articles were then filtered based on the inclusion and exclusion criteria and the risk of bias was assessed. Key findings were then summarized. Results: A total of 81 studies were found that reported on AI applications in cardiac surgery. There is a rapid rise in studies since 2020. The most popular machine learning technique was random forest (n = 48), followed by support vector machine (n = 33), logistic regression (n = 32), and eXtreme Gradient Boosting (n = 31). Most of the studies were on adult patients, conducted in China, and involved procedures such as valvular surgery (24.7%), heart transplant (9.4%), coronary revascularization (11.8%), congenital heart disease surgery (3.5%), and aortic dissection repair (2.4%). Regarding evaluation outcomes, 35 studies examined the performance, 26 studies examined clinician outcomes, and 20 studies examined patient outcomes. Conclusion: AI was mainly used to predict complications following cardiac surgeries and improve clinicians' decision‐making by providing better preoperative risk assessment, stratification, and prognostication. While the application of AI in cardiac surgery has greatly progressed in the last decade, further studies need to be conducted to verify accuracy and ensure safety before use in clinical practice. [ABSTRACT FROM AUTHOR]

Researchers and practitioners are increasingly using machine‐generated synthetic data as a tool for advancing health science and practice, by expanding access to health data while—potentially—mitigating privacy and related ethical concerns around data sharing. While using synthetic data in this way holds promise, we argue that it also raises significant ethical, legal, and policy concerns, including persistent privacy and security problems, accuracy and reliability issues, worries about fairness and bias, and new regulatory challenges. The virtue of synthetic data is often understood to be its detachment from the data subjects whose measurement data is used to generate it. However, we argue that addressing the ethical issues synthetic data raises might require bringing data subjects back into the picture, finding ways that researchers and data subjects can be more meaningfully engaged in the construction and evaluation of datasets and in the creation of institutional safeguards that promote responsible use. [ABSTRACT FROM AUTHOR]

Objective: Technology‐assisted child sexual abuse (TA‐CSA) is defined as any type of sexual abuse with an online element occurring under the age of 18. The literature suggests that victims often experience difficulty in finding support that adequately addresses the online elements of TA‐CSA. Research also suggests that practitioners are unsure about how to best approach TA‐CSA during initial assessments. Design: This modified Delphi study with healthcare professionals and researchers as experts was conducted to understand best practice principles on how to approach the topic of TA‐CSA when a young person presents to clinical services. Methods: An online, two round modified Delphi study was completed. Round 1 consisited of statements generated from existing published TA‐CSA literature. One hundred and twelve participants were invited to complete Round 1. Twenty‐four participants responded to Round 1, and of those responders, 15 completed Round 2. All healthcare professionals (10) and eight researchers were located in the United Kingdom. The remaining researchers were based in North and South America, Australia and Europe. Results: Participants agreed that there is a need to provide practitioners with guidance on how to approach TA‐CSA and that asking general questions about online life can help ease into the topic of TA‐CSA. Additionally, a clear multi‐agency approach and adequate training can provide practitioners confidence in their ability in managing risk and disclosure of TA‐CSA. Conclusions: This study provides important initial findings in approaching TA‐CSA within an initial assessment. However, future research is necessary in understanding the transferability of these findings to clinical settings. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) could be at the heart of a fourth revolution by significantly changing professional identity, relationships between individuals and resource management. To help public administration practitioners and researchers cope with changes anticipated by AI, this research note maps existing conceptual approaches on the opportunities and challenges of AI in public administration and proposes a conceptual framework and initiatives that can inform and support effective, public interest‐oriented technology policymaking. This research note outlines a potential research agenda, with multi‐level opportunities and challenges, to accelerate this critical work. [ABSTRACT FROM AUTHOR]

This article explains the broader stakes of contemporary British gambling reform debates, via an analysis of the White Paper High Stakes: Gambling Reform for the Digital Age (2023). I lay out the context to the White Paper, and I summarise its main proposals, focusing especially on efforts to reduce the harms caused by gambling. I also offer a critical analysis of one particularly significant and contentious proposed reform: mandated affordability checks for online gambling, when losses reach certain thresholds. I suggest that these checks reflect and deepen a shared regulatory, industry, and academic faith in online gambling technologies to resolve social responsibility problems, with wider implications for consumer surveillance and public health. [ABSTRACT FROM AUTHOR]

This essay offers a Kierkegaardian analysis of and response to the harmful effects of destabilization that can be caused by engaging with certain technological media. It argues that the intellectual technological ethic that is at work in social media platforms reflects two types of despair discussed in Søren Kierkegaard's Sickness Unto Death. It advises using a Kierkegaard‐inspired Socratic rhetorical strategy of communication that ironically employs technology for depicting this despair and awakening individuals to its presence in their lives. Moreover, this essay suggests that the edifying themes of "misery" and "guilt" can be communicated indirectly and thereby offer one intervention that could possibly help the current technological age move from the immediate aesthetic sphere of existence to the religious sphere. Considering the important role of upbuilding in Kierkegaard's oeuvre, the final portion explores how even someone who does not identify with a religious tradition or community may encounter what Kierkegaard terms the paradox of the eternal in time in ways that foster the development of authentic selfhood. [ABSTRACT FROM AUTHOR]

Since assessing aerobic capacity is key to enhancing swimming performance, a simple and widely applicable technology should be developed. Therefore, we aimed to noninvasively visualize real‐time changes in sweat lactate (sLA) levels during swimming and investigate the relationship between lactate thresholds in sweat (sLT) and blood (bLT). This prospective study included 24 university swimmers (age: 20.7 s ± 1.8 years, 58% male) who underwent exercise tests at incremental speeds with or without breaks in a swimming flume to measure heart rate (HR), bLT, and sLT based on sLA levels using a waterproof wearable lactate sensor attached to the dorsal upper arm on two different days. The correlation coefficient and Bland–Altman methods were used to verify the similarities of the sLT with bLT and personal performance. In all tests, dynamic changes in sLA levels were continuously measured and projected onto the wearable device without delay, artifacts, or contamination. Following an initial minimal current response, with increasing speed the sLA levels increased substantially, coinciding with a continuous rise in HR. The speed at sLT strongly correlated with that at bLT (p < 0.01 and r = 0.824). The Bland–Altman plot showed a strong agreement (mean difference: 0.08 ± 0.1 m/s). This prospective study achieved real‐time sLA monitoring during swimming, even with vigorous movement. The sLT closely approximated bLT; both were subsequently validated for their relevance to performance. Highlights: A new technique using a wearable device can measure sweat lactate (sLA) levels during swimming without artifacts or contamination.Lactate threshold assessed using sLA dynamics is consistent with that calculated from blood samples.The current novel measurement method is expected to promote a personalized training regimen and simultaneous multi‐person measurements. [ABSTRACT FROM AUTHOR]

Objective: This study was conducted as a randomized controlled trial to evaluate the technology‐based parent school program. Design: The study was conducted in the well‐child care outpatient clinic of a hospital in Turkey. Data were collected between October 31, 2022 and February 17, 2023. The parent school was prepared based on Meleis' transition theory. Sample: Forty‐eight parents participated in the study. Parents in the intervention group participated in a 10‐week parent school program (five website modules, five online interactive group trainings, and counseling). Measures: Data were collected before the program, after the program, and 1 month after the program. Results: There were increases in the mean scores of the "Parent Skill Assessment Form" and "Skills Assessment Form for the Toddler Development" items in the intervention group compared to the control group. The difference between the groups in the mean scores of the Self‐Efficacy for Parenting Task Index Toddler Scale (1–3 years) was not statistically significant. However, the difference between the times was statistically significant. Conclusion: It was concluded that the technology‐based parent school training program could guide parents with children aged 1–3 years on child‐rearing. Trial registration: It was registered at ClinicalTrials.gov in May 2022 (NCT05370989). [ABSTRACT FROM AUTHOR]

Aim: To identify current key areas for nursing research in Switzerland, we revised the Swiss Research Agenda for Nursing (SRAN) initially published in 2008. Background: By developing a research agenda, nursing researchers internationally prioritize and cluster relevant topics within the research community. The process should be collaborative and systematic to provide credible information for decisionmakers in health care research, policy, and practice. Sources of Evidence: After a participative, systematic, and critical evaluation within and outside of the Swiss Association for Nursing Science, the updated SRAN 2019–2029 defines four research priorities (new models of care, nursing care interventions, work and care environment, and quality of care and patient safety) and four transversal themes (organization of research, research methodologies, research in health care policy and public health perspectives). Conclusion: Adding to other national nursing research agendas, the categories are organized in a framework of key research priorities and transversal themes. They relate to the importance of global and local foci of research as well as challenges in health care services and policy systems. The agenda is an important prerequisite for enhancing the influence of nursing research in Switzerland and provides guidance for the next decade. Implications for Nursing Practice: The revised agenda ensures that research projects target key knowledge gaps and the discipline's core questions in respective countries. Implications for Health Policy: Nursing research should inform and influence health policy on all institutional and political levels. Therefore, the integration of public health perspectives in research is one of the most important new aspects of SRAN 2019–2029. [ABSTRACT FROM AUTHOR]

Summary: This paper examines the significant challenges that the agri‐food industry faces if it is to secure the skilled workforce needed to meet the requirement to massively expand food production across the globe. It highlights the significant role that specialist universities and higher education universities play in identifying, nurturing and equipping people with the knowledge and skills required by industry. It also highlights the complex practical and intellectual challenges the food industry faces in meeting the future food needs of the planet's inhabitants. It argues for the need for better story‐telling and collaboration across universities and industry to inspire more people to see this sector as a destination. [ABSTRACT FROM AUTHOR]

This article investigates teachers' lived experiences of an online professional development (OPD) course in Denmark – that is, Teknosofikum – through a hermeneutic phenomenological perspective, and it relies on the interpretive analysis of 15 semi‐structured interviews. The article's contribution focuses on the theme of 'time' and highlights it as a multifaceted construct that plays a relevant role in learning. By relying on the ideas of temporal structuring and multiple temporalities, the article shows that OPD courses and HE teachers' engagement nest themselves into pre‐existing and complex nexus of commitments and duties, each of which has its own temporality and rhythm, along with longer‐term aspirations for pedagogical development. As time emerged as a relevant aspect characterizing OPD course design and HE teachers' experiences, the article provides simple recommendations for 'time‐aware' OPD courses. [ABSTRACT FROM AUTHOR]

The article offers a comprehensive update on recent advancements in diabetes research and treatments. Topics discussed include the influence of walking speed on the risk of developing type 2 diabetes, emerging evidence linking type 2 diabetes to Alzheimer's disease, and the innovative use of xenotransplantation involving pig organs to address the shortage of human kidneys for transplantation.

The article examines the detrimental effects of current publishing practices in medical research. It highlights the rise of predatory journals, which exploit the pay-to-publish model and undermine the quality and integrity of scientific literature. It critiques the commercialization of scientific publishing, which prioritizes profit over rigorous peer review and quality control, leading to a proliferation of low-quality and potentially misleading research.

At present, there is no standard practice for temporary connection of component installation. How to make temporary connections to components more efficient and accurate is the key to the construction of cast‐in‐place connection parts in concrete prefabricated buildings. In order to improve the assembly technology of concrete structures, this paper combines three‐dimensional intelligent image analysis technology for simulation, analyzes and compares several common electronic image stabilization algorithms, discusses the video image stabilization technology based on gray projection method in detail, and gives experimental results. Moreover, this paper analyzes and compares common moving target tracking algorithms, such as feature‐based tracking, region matching‐based tracking, dynamic contour‐based tracking, and 3D model‐based tracking. In addition, this paper studies the target tracking algorithm based on the Camshift algorithm, and constructs the assembly model of the intelligent concrete structure with the support of the algorithm. Through experimental verification, it is known that the performance distribution of the concrete structure assembly model based on 3D intelligent image analysis in experimental evaluation is between [81, 89], the experimental study shows that the concrete structure assembly model based on 3D intelligent image analysis can effectively improve the assembly effect of concrete structure. [ABSTRACT FROM AUTHOR]

Background and Aims: The metaverse has enormous potential in health care, continuously developing and offering innovative solutions by combining artificial intelligence (AI), augmented reality (AR)/virtual reality (VR), Internet of Medical Devices, and quantum computing technologies. In addition to using virtual platforms to help and boost medical education, familiarity with this platform is necessary to strengthen medical skills and communication with patients in medical sciences in the future. Methods: We conducted a comprehensive search using keywords and their MeSH synonyms, including "metaverse," "medical education," and "health care," across PubMed, Scopus, and Web of Science. After screening the results, relevant articles were selected to inform the writing of this manuscript. Results: The metaverse is shaping the future of medical sciences, offering new opportunities for health education, advocacy training, and patient outcome improvement. The combination of real and virtual worlds may advance international relations, facilitate data sharing, increase medical care speed, and reduce infectious diseases. The metaverse, despite its benefits, has some limitations. Only 37% of 15−24‐year‐olds have internet access, and AR/VR glasses are expensive and may cause eye discomfort. It is also a potential risk for medical students, who may need help understanding the limitations of simulations and develop unrealistic expectations. Considering the metaverse as a supplement to clinical practice, not a replacement for supervised training, is crucial. Ethical concerns, data security, privacy, and lack of instructions for education are also issues. However, providing information about the metaverse can increase health care workers' attribution to use it for patient examinations, students' education, and tests. Conclusion: This paper explores the impact of the metaverse on medical science education and underscores the need to integrate the metaverse into all areas of medical sciences as a supplement to existing evidence. [ABSTRACT FROM AUTHOR]

The article discusses an implementation plan to leverage technology and artificial intelligence (AI) to enhance health and economic outcomes in rural America. Topics discussed include the impact of rural-urban health disparities on access to care, the financial challenges facing rural hospitals and their closures, and the potential of AI-driven telehealth solutions to improve healthcare delivery in these communities.

Skull anatomy is a difficult region for anatomy students to learn and understand but is necessary for a variety of health professional students. To improve learning, a 3D‐printed human skull was developed, produced, and distributed to a course of 83 dental students for use as a take‐home study tool over the 10‐week anatomy course. The 70% scale human skull derived from CT data had a fully articulating mandible, simulated temporomandibular joint, and accurate cranial structures. At the course end, students completed a perception survey and responses were compared with those who made a grade of A, B, or C in the course. Students overall reported using the model less than 3 h per week, but those who scored an A in the course reported using the model more frequently than those who scored a B or C. Free responses revealed that students used the model in a variety of ways, but found that the model was quick and easily accessible to check understanding while studying at home in the absence of direct observation by faculty. Overall, this study provides evidence on the feasibility of large‐scale 3D printing and the benefits of the use of a 3D‐printed model as a take‐home study aid. [ABSTRACT FROM AUTHOR]