Results of a brief online group application of the unified protocol for the prevention of emotional disorders in university students: a pilot study with multiple baseline experimental design / Resultados de una aplicación grupal breve en línea del protocolo unificado para la prevención de trastornos emocionales en estudiantes universitarios: un estudio piloto con diseño experimental de línea base múltiple

Los trastornos emocionales (TEs) son los trastornos más comunes entre la población joven. El desarrollo de programas preventivos de los TEs es fundamental para evitar su posible aparición. Los programas de prevención transdiagnósticos podrían presentar una ventaja sobre los existentes para mejorar las estrategias de regulación emocional. Así, el objetivo de este estudio ha sido determinar la viabilidad y eficacia preliminar de un programa breve basado en el Protocolo Unificado (PU). El proyecto consistió en un estudio piloto utilizando un diseño experimental de línea base múltiple. Nueve estudiantes universitarios recibieron un programa de 5 sesiones basado en el PU en formato grupal online. Se encontraron diferencias significativas después de la intervención en la regulación de las emociones, el apoyo social percibido y la evitación, con tamaños del efecto moderados-grandes (r de Cohen = .49 - .59). Estas mejoras mostraron aumentos en los seguimientos al mes y a los 3 meses. Esos resultados están en línea con los que muestran que los programas preventivos transdiagnósticos breves podrían ser útiles para la prevención de los TEs en población universitaria.(AU)

Emotional disorders (EDs) are the most common disorders among the young population. The development of preventive programs for EDs is essential to avoid their possible appearance. Transdiagnostic prevention programs could present an advantage over existing ones to im-prove emotional regulation strategies. Thus, the objective of this study has been to determine the preliminary feasibility and effectiveness of a brief program based on the Unified Protocol (UP). The project consisted of a pilot study using a multiple baseline experimental design. Nine university students received a 5-session program based on the UP in online-group format. Significant differences were found after the intervention for emo-tion regulation, perceived social support and avoidance, with moderate-large effect sizes (Cohen's r= .49-.59). These improvements showed in-creases at 1-month and 3-month follow-ups. Those results are in line with those showing that brief transdiagnostic preventive programs could be use-ful for the prevention of EDs in the university population.(AU)

Social media uses amongst adolescents: motives, minority stress and eudaimonic well-being / Uso de redes sociales en adolescentes: motivación, estrés de minorías y bienestar eudaimónico

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In gen-eral, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives:This study ex-amines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M= 16.19; SD= 1.08), analysing the Scale of Motives for Using Social Net-working Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results:The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online;and that females have higher levels of well-being. Discus-sion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Dif-ferentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In general, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives: This study examines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M = 16.19; SD = 1.08), analysing the Scale of Motives for Using Social Networking Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results: The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online; and that females have higher levels of well-being. Discussion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Differentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Efficient and accountable anti-leakage attribute-based encryption scheme for cloud storage.

To ensure secure and flexible data sharing in cloud storage, attribute-based encryption (ABE) is introduced to meet the requirements of fine-grained access control and secure one-to-many data sharing. However, the computational burden imposed by attribute encryption renders it unsuitable for resource-constrained environments such as the Internet of Things (IoT) and edge computing. Furthermore, the issue of accountability for illegal keys is crucial, as authorized users may actively disclose or sell authorization keys for personal gain, and keys may also passively leak due to management negligence or hacking incidents. Additionally, since all authorization keys are generated by the attribute authorization center, there is a potential risk of unauthorized key forgery. In response to these challenges, this paper proposes an efficient and accountable leakage-resistant scheme based on attribute encryption. The scheme adopts more secure online/offline encryption mechanisms and cloud server-assisted decryption to alleviate the computational burden on resource-constrained devices. For illegal keys, the scheme supports accountability for both users and the authorization center, allowing the revocation of decryption privileges for malicious users. In the case of passively leaked keys, timely key updates and revocation of decryption capabilities for leaked keys are implemented. Finally, the paper provides selective security and accountability proofs for the scheme under standard models. Efficiency analysis and experimental results demonstrate that the proposed scheme enhances encryption/decryption efficiency, and the storage overhead for accountability is also extremely low.

Impact of COVID-19 pandemic on online medical education - An online survey of students' perspective.

Introduction: The year 2020 brings in a paradigm shift in medical education with the emergence of the COVID-19 pandemic. Since the government of India initiated the first countrywide lockdown, educational institutions, including medical colleges, have adopted online mode for undergraduate teaching. Medical education is virtually incomplete without appropriate practical exposure. This study was conducted to understand the opinion of the medical students towards online classes as an impact of this pandemic on medical education. Materials and Methods: A descriptive online survey was conducted using a google form among medical undergraduate students from across India. Snowball sampling was used to recruit study participants. The responses were analyzed using numbers and percentages. Continuous variables were expressed as the mean and standard deviation of the mean. Results: The mean age of the 1426 respondents was 20.46 years. The majority of the responses were from Karnataka (412), followed by Odisha (167). While fairly a good number of respondents agreed that online classes provided a conducive environment and independence in learning, a large proportion disagreed or remained neutral in terms of its usefulness. This could be attributed to several reasons, which may be categorized into three important groups: the technical competence of the students, the provision of an enabling environment and the ability of the teachers. Conclusion: Students had varying opinions on online classes, but most emphasized the need for redoing the lessons taught online.

A public health view and comparison between online and on-campus learning to evaluate sleep and mental health among undergraduate students.

Background: The COVID-19 pandemic changed people's lives. The majority had to adapt to working online including students. The shift to online learning caused serious sleep and mental health issues among students. This study aimed to examine the variations between the prevalence of sleep and mental health problems among undergraduate students during the periods of online learning and on-campus learning. Method: An online survey was distributed to medical students in Saudi Arabia. Results: A total of 110 participated in the study (age = 21 ± 1.4 years). The on-campus anxiety (8.2 ± 6.3) was significantly higher than online anxiety (5.5 ± 5.1). On-campus daytime sleepiness (8.5 ± 4) was significantly higher when compared to online daytime sleepiness (6.7 ± 4.6). Although not significant, the on-campus stress (7.7 ± 5.7) and insomnia (12 ± 7.3) were higher than online stress (6.9 ± 5.5) and insomnia (11.5 ± 6). The online depression (6.6 ± 5.7) was higher than the mean on-campus depression (5.8 ± 5.4). A significant strong positive correlation was found between on-campus anxiety and on-campus stress. A significant moderate positive correlation was detected between on-campus anxiety and on-campus daytime sleepiness. A weak but significant correlation was found between on-campus anxiety and on-campus insomnia. On-campus anxiety was significantly predicted by the following model, which included on-campus stress, insomnia, and daytime sleepiness (P < .001). Conclusion: Medical students reported lower anxiety, daytime sleepiness, stress, and insomnia during their online learning compared to on-campus learning. Only depression was higher during online learning compared to on-campus learning.

Evaluation of an online "Train the Trainers" course for family physicians in Pakistan: Expectations vs reality.

Aim: Pakistan is in dire need of trained family physicians to enhance the quality of primary health care. To build capacity, there is a need to train the trainers on a large scale through a feasible and accessible program. Therefore, for the first time, a three-month online course was designed and piloted, in collaboration with national and international family medicine faculty. The aim of this study was to determine the gap between the pre-course expectations and the post-program perceptions of the participants for* a unique family medicine "Train the Trainers" course. Methods: A longitudinal-observational study was conducted at a private college of Karachi after approval from the Institutional Review Board. The expectations and perceptions of all (31) participants were recorded through a pre- and post-course questionnaire. Data were analyzed through descriptive and analytical statistics on SPSS-26. The responses to the open-ended questions were analyzed by content analytical approach. Results: Out of 20 quantitative items on the questionnaire, four were associated with a positive gap between the expectations and perceptions. One item showed a negative gap, while the rest did not show any significant difference. The majority of the participants expressed that they expected to see an improvement in their teaching skills because of the online course. Conclusion: The online course was successful in meeting the participants' expectations. The course delivery can be revisited to further improve its quality according to the participant's feedback, including an opportunity to ask questions and incorporating some face-to-face sessions.

Gaming Disorder: The role of a gamers flow profile.

Digital games are widely popular and integral to contemporary entertainment. Nevertheless, a proportion of users present with disordered/excessive gaming behaviours, provisionally classified as Internet Gaming Disorder (IGD). Previous literature suggests examining the contribution of an individual's profile of immersive engagement with their gaming activity, known as online flow, for disordered gaming behaviours. Therefore, the main goals of this study were (1) to categorise gamers into distinct profiles based on their online flow experiences and (2) to investigate the differences in disordered gaming among these different flow profiles. A sample of 565 gamers (12-68 years, Mage = 29.3 years) was assessed twice over six months with the Online Flow Questionnaire (OFQ), the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), and the Gaming Disorder Test (GDT). Latent profile analysis (LPA) identified five distinct profiles encompassing 'High-Flow with High Loss of Control' (HF-HLOC; 14.0 %), 'Low Flow with Low Enjoyment' (LF-LE; 11.9 %), 'Average Flow with Low Enjoyment' (AF-LE; 17.5 %), 'Low Flow with High Enjoyment' (LF-HE; 20.2 %), and 'High Loss of Sense of Time with Low Loss of Control' groups (HLOT-LLOC; 36.5 %). As hypothesised, individuals across varying profiles evidenced differences in their concurrent and longitudinal disordered gaming behaviours. Overall, findings suggest that 'loss of sense of time' may be the most pivotal factor in differentiating flow states and profiles during gaming, advocating its consideration in disordered gaming assessment and treatment.

JointTracker: Real-time inertial kinematic chain tracking with joint position estimation.

In-field human motion capture (HMC) is drawing increasing attention due to the multitude of application areas. Plenty of research is currently invested in camera-based (markerless) HMC, with the advantage of no infrastructure being required on the body, and additional context information being available from the surroundings. However, the inherent drawbacks of camera-based approaches are the limited field of view and occlusions. In contrast, inertial HMC (IHMC) does not suffer from occlusions, thus being a promising approach for capturing human motion outside the laboratory. However, one major challenge of such methods is the necessity of spatial registration. Typically, during a predefined calibration sequence, the orientation and location of each inertial sensor are registered with respect to the underlying skeleton model. This work contributes to calibration-free IHMC, as it proposes a recursive estimator for the simultaneous online estimation of all sensor poses and joint positions of a kinematic chain model like the human skeleton. The full derivation from an optimization objective is provided. The approach can directly be applied to a synchronized data stream from a body-mounted inertial sensor network. Successful evaluations are demonstrated on noisy simulated data from a three-link chain, real lower-body walking data from 25 young, healthy persons, and walking data captured from a humanoid robot. The estimated and derived quantities, global and relative sensor orientations, joint positions, and segment lengths can be exploited for human motion analysis and anthropometric measurements, as well as in the context of hybrid markerless visual-inertial HMC.

Positive affect and self-care mediate the relationship between trait emotional intelligence and academic engagement in Lebanese undergraduates: Lessons learned from an online setting.

This study examined the impact of positive psychology variables, namely trait emotional intelligence (EI), positive affect and self-care, on academic engagement (AE) in an online learning environment during COVID-19. The study involved 717 undergraduates in Lebanon and utilised structural equation modelling for data analysis. The results demonstrated that positive affect and self-care mediated the relationship between trait EI and AE. In women, both self-care and positive affect were mediators, whereas in men, positive affect was the only mediator. For students who received a mix of synchronous and asynchronous lessons, both self-care and positive affect mediated the relationship between trait EI and AE. However, for those who received only synchronous lessons, positive affect was the sole mediator. Furthermore, AE significantly predicted academic performance (AP) in both models. These findings suggest the importance of interventions that enhance trait EI, positive emotions and self-care to improve AE and ultimately AP in online learning.

Phosphate limitation enhances malic acid production on nitrogen-rich molasses with Ustilago trichophora.

BACKGROUND: An important step in replacing petrochemical products with sustainable, cost-effective alternatives is the use of feedstocks other than, e.g., pure glucose in the fermentative production of platform chemicals. Ustilaginaceae offer the advantages of a wide substrate spectrum and naturally produce a versatile range of value-added compounds under nitrogen limitation. A promising candidate is the dicarboxylic acid malic acid, which may be applied as an acidulant in the food industry, a chelating agent in pharmaceuticals, or in biobased polymer production. However, fermentable residue streams from the food and agricultural industry with high nitrogen content, e.g., sugar beet molasses, are unsuited for processes with Ustilaginaceae, as they result in low product yields due to high biomass and low product formation. RESULTS: This study uncovers challenges in evaluating complex feedstock applicability for microbial production processes, highlighting the role of secondary substrate limitations, internal storage molecules, and incomplete assimilation of these substrates. A microliter-scale screening method with online monitoring of microbial respiration was developed using malic acid production with Ustilago trichophora on molasses as an application example. Investigation into nitrogen, phosphate, sulphate, and magnesium limitations on a defined minimal medium demonstrated successful malic acid production under nitrogen and phosphate limitation. Furthermore, a reduction of nitrogen and phosphate in the elemental composition of U. trichophora was revealed under the respective secondary substrate limitation. These adaptive changes in combination with the intricate metabolic response hinder mathematical prediction of product formation and make the presented screening methodology for complex feedstocks imperative. In the next step, the screening was transferred to a molasses-based complex medium. It was determined that the organism assimilated only 25% and 50% of the elemental nitrogen and phosphorus present in molasses, respectively. Due to the overall low content of bioavailable phosphorus in molasses, the replacement of the state-of-the-art nitrogen limitation was shown to increase malic acid production by 65%. CONCLUSION: The identification of phosphate as a superior secondary substrate limitation for enhanced malic acid production opens up new opportunities for the effective utilization of molasses as a more sustainable and cost-effective substrate than, e.g., pure glucose for biobased platform chemical production.

Machine learning judged neutral facial expressions as key factors for a "good therapist" within the first five minutes: An experiment to simulate online video counselling.

Objective: Machine learning models were employed to discern patients' impressions from the therapists' facial expressions during a virtual online video counselling session. Methods: Eight therapists simulated an online video counselling session for the same patient. The facial emotions of the therapists were extracted from the session videos; we then utilized a random forest model to determine the therapist's impression as perceived by the patients. Results: The therapists' neutral facial expressions were important controlling factors for patients' impressions. A predictive model with three neutral facial features achieved an accuracy of 83% in identifying patients' impressions. Conclusions: Neutral facial expressions may contribute to patient impressions in an online video counselling environment with spatiotemporal disconnection. Innovation: Expression recognition techniques were applied innovatively to an online counselling setting where therapists' expressions are limited. Our findings have the potential to enhance psychiatric clinical practice using Information and Communication Technology.

Hybrid drug dealing: Merging on- and offline spheres when dealing drugs via social media.

BACKGROUND: Research exploring online mediated drug dealing has gained momentum in recent years. Much existing research is characterized by a primary focus on the "online" aspects of drug sales facilitated by social media, resulting in a divide between "on"- and "offline" drug dealing. We wish to bridge this gap, by focusing on the hybridity of dealing drugs via social media and by arguing for a more holistic understanding of contemporary drug dealing. METHODS: This article is based on in-depth digitally facilitated oral interviews with 25 individuals with experience of dealing drugs via social media platforms and encrypted messaging apps and on observational data from different apps and platforms. RESULTS: We found that many sellers start by dealing offline and gradually drift into sales using social media technology. While the internet offers drug sellers new opportunities to expand their business, many sellers are not technological exclusionists but rather adopt a multichannel approach where they sell both via social media and occasionally or regularly also through in-person and technologically analogue means. Additionally, many sellers do not draw clear cut distinctions between whether they use social media, SMS or encrypted apps, but rather see their "drug sales phone" as one medium for all sales related communication. Findings also show that local offline power dynamics continue to influence sellers' ability to build and expand their online business, and that offline as well as online networks play a crucial role in sellers' hiring of helpers and in their bulk drug sourcing. CONCLUSION: We discuss how our findings have analytical, conceptual, and methodological implications for the development of a more nuanced and holistic approach in the study of drug sales involving online technologies.

Are you a cop?: Identifying suspicion in online chat operations with online groomers.

BACKGROUND: The increase in online enticement has led to law enforcement agencies engaging in more proactive policing through undercover chat sting operations. OBJECTIVE: We aimed to identify the topics and communication strategies triggering suspicion in chats between law enforcement officers and offenders and why those topics do not result in suspicion in victim-offender conversations. METHODS: We conducted a thematic analysis identifying: (1) how LEOs trigger suspicion, (2) how offenders communicate suspicion, (3) how LEOs attempt recovery from suspicion, and (4) how these triggers were present but did not trigger suspicion in victim-offender chats. We examined 20 LEO-offender chats and 20 victim-offender chats from US ICAC task forces. RESULTS: We identified four themes that triggered suspicion: risk assessment by the LEO's persona, LEO avoidance measures, details related to the offense and evidence, and proof of identity of chat participants. Offender responses to triggers revealed three themes: discomfort navigating boundaries and uncertainty, risk identification, and risk mitigation. Themes for the LEO's responses to suspicion included: risk assessment for chatters, issues with technology, appeasement, and negative emotional reactions. Finally, juxtaposing triggers onto minor-offender chats yielded four themes: explicit boundary setting, victim risk assessment, deep relationship forming and disclosures, and technology issues. CONCLUSION: This study has implications for law enforcement agencies seeking to reduce suspicion and risk assessment by offenders during internet sting operations.

Implementing multiblock techniques in a full-scale plant scenario: On-line prediction of quality parameters in a continuous process for different acrylonitrile butadiene styrene (ABS) products.

BACKGROUND: The study explores the challenges of handling multiblock data of different natures (process and NIR sensors) for on-line quality prediction in a full-scale plant scenario, namely a plant operating in continuous on an industrial scale and producing different grade Acrylonitrile Butadiene Styrene (ABS) products. This environment is an ideal scenario to evaluate the use of multiblock data analysis methods, which can enhance data interpretation, visualization, and predictive performances. In particular, a novel multiblock extension of Locally Weighted PLS has been proposed by the authors, namely Locally Weighted Multiblock Partial Least Squares (LW-MB-PLS). Response-Oriented Sequential Alternation (ROSA) has also been employed to evaluate the diverse block relevance for the prediction of two quality parameters associated with the polymer. Data are split in blocks both according to sensor type and different plant sections, and different models have been built by incremental addition of data blocks to evaluate if early estimation of product quality is feasible. RESULTS: ROSA method showed promising predictive performance for both quality parameters, highlighting the most influential plant sections through the selection of data blocks. The results suggested that both early and late-stage sensors play crucial roles in predicting product quality. A reasonable estimation of quality parameters before production completion has been achieved. On the other hand, the proposed LW-MB-PLS, while comparable in predictive performances, allowed reducing systematic prediction errors for specific products. SIGNIFICANCE: This study contributes valuable insights for continuous production processes, aiding plant operators and paving the way for advancements in online quality prediction and control. Furthermore, it is implemented as a locally weighted extension of MB-PLS.

A novel mathematical template for developing fDOM probe fluorescence signal correction models for freshwaters.

The reliable application of field deployable fluorescent dissolved organic matter (fDOM) probes is hindered by several influencing factors which need to be compensated. This manuscript describes the corrections of temperature, pH, turbidity and inner filter effect on fluorescence signal of a commercial fDOM probe (fDOMs). For this, Australian waters with wide ranging qualities were selected, e.g. dissolved organic carbon (DOC) ranging from ∼1 to ∼30 mg/L, specific UV absorbance at 254 nm from ∼1 to ∼6 L/m/mg and turbidity from ∼1 to ∼ 350 FNU. Laboratory-based model calibration experiments (MCEs) were performed. A model template was developed and used for the development of the correction models. For each factor, data generated through MCEs were used to determine model coefficient (α) values by fitting the generated model to the experimental data. Four discrete factor models were generated by determination of a factor-specific α value. The α values derived for each water of the MCEs subset were consistent for each factor model. This indicated generic nature of the four α values across wide-ranging water qualities. High correlation between fDOMs and DOC were achieved after applying the four-factor compensation models to new data (r, 0.96, p < 0.05). Also, average biases (and %) between DOC predicted through fDOMs and actual DOC were decreased by applying the four-factor compensation model (from 3.54 (60.9%) to 1.28 (16.7%) mg/L DOC). These correction models were incorporated into a Microsoft EXCEL-based software termed EXOf-Correct for ready-to-use applications.

Who is seeking information about traumatic brain injury? Characterizing online course participants.

Accessible, up-to-date information on traumatic brain injury (TBI) can be challenging to find and is needed to address TBI knowledge gaps and improve outcomes for people who experience a TBI. The Understanding TBI Massive Open Online Course (TBI MOOC) was developed to increase TBI knowledge across a diverse global audience. We sought to characterize the TBI MOOC participant cohort, to understand the reach of the course among this target audience. Examining the characteristics of TBI MOOC enrollees showed that participants came from a wide range of demographic backgrounds, had a variety of TBI experiences and had multiple reasons for enrolling in the MOOC. The majority of course participants shared some characteristics with other groups of health information seekers. Four distinct demographic profiles were identified among TBI MOOC participants (education seekers, TBI-aware participants, TBI care providers and retirees) using a novel approach combining chi-squared tests and network modularity. Participants assigned to the TBI-aware and retiree profiles were most likely to complete all modules of the MOOC, and the TBI-aware profile was more highly represented in more recent iterations of the MOOC. Together, these data indicate that the TBI MOOC provided information to a wide range of people, and particularly engaged participants with personal or family experience of TBI. However, engagement with this course was minimal among some hard-to-reach populations, including men and people with low levels of education, indicating that additional strategies are needed to ensure equity in health promotion.

Hybrid care potential of teledermatology: The importance of linking digital and physical practice and acceptance of online services: A cross-sectional study.

Background and Aims: Telemedicine, with Teledermatology, has become a central component of modern medicine. Its importance, especially during the COVID-19 pandemic, underlines its potential to optimize access for dermatological needs. The study aims to assess the potential of teledermatology, understand the importance of linking digital and physical practices, and analyze the adoption of online services based on participants' demographic and experiential factors. Methods: This cross-sectional survey was conducted among users of the telemedicine platform from July 2022 to March 2023. The platform ("OnlineDoctor") allows users to contact dermatologists for remote dermatological consultations. The survey included questions about the participants' dermatological concerns, their reasons for using teledermatology, their satisfaction with the recommendations and their willingness to continue using telemedicine in the future. Data was collected via the RedCap online platform. Descriptive statistics and regression analyses were carried out. Results: Overall, 1141 people participated in the study (mean age 44.0 years [SD 14.6], 61.4% women). Results showed that 52.7% of participants with skin conditions had not consulted a dermatologist in the previous year. Shorter waiting times and the lack of face-to-face appointments were the main reasons for using the online platform. In total, 77.6% (n = 885) of participants indicated they would use teledermatology as their first choice if they had an upcoming skin condition. Age, gender, and satisfaction with previous consultations impacted the use of teledermatology as the first choice for future skin conditions. Conclusion: Teledermatology is characterized by various benefits, including reduced waiting times and improved accessibility to treatment. Nevertheless, the study underscores the importance of a hybrid care approach with direct interaction with the physician. Teledermatology can be transformative in meeting dermatologic needs, mainly when traditional face-to-face consultation is limited. A deep understanding of user preferences and widespread adoption of digital services can pave the way for the successful adoption of teledermatology platforms, improving healthcare accessibility and efficiency.

An efficient, reliable and valid assessment for affective states during online learning.

The current study aims to develop an efficient, reliable and valid assessment, the affective states for online learning scale (ASOLS), for measuring learners' affective states during online learning using a sample of 173 young learners. The assessment consists of 15 items which assess five affective states, including concentration, motivation, perseverance, engagement, and self-initiative. To improve efficiency, five items (one for each affective state) are randomly selected and presented every 30 min during online learning. In addition, 14 among the participants were further invited to perform on-site online learning, and their affective states were validated by observations conducted by two psychologists. The ASOLS was found to be reliable and valid, with high internal consistency reliabilities and good construct, convergent and criterion validity. Confirmatory factor analyses showed that the hypothesized five-factor structure demonstrated a satisfactory fit to the data. Moreover, engagement was found to be positively associated with learning performance. Our findings suggest that the ASOLS provides a useful tool for teachers to identify students in upper primary and junior secondary schools with deficits in affective states and offer appropriate remedy or support. It can also be used to evaluate the effectiveness of interventions aimed at enhancing students' affective states during online learning.