Technical Issues Research Articles

Measuring the operational performance of an artificial intelligence-based blood tube-labeling robot, NESLI.

Laboratory testing, crucial for medical diagnosis, has 3 phases: preanalytical, analytical, and postanalytical. This study set out to demonstrate whether automating tube labeling through artificial intelligence (AI) support enhances efficiency, reduces errors, and improves outpatient phlebotomy services. The NESLI tube-labeling robot (Labenko Informatics), which uses AI models for tube selection and handling, was used for the experiments. The study evaluated the NESLI robot's operational performance, including labelling time, technical problems, tube handling success, and critical stock alerts. The robot's label readability was also tested on various laboratory devices. This research will contribute to the field's understanding of the potential impact of automated tube-labeling systems on laboratory processes in the preanalytical phase. NESLI demonstrated high performance in labeling processes, achieving a success rate of 99.2% in labeling parameters and a success rate of 100% in other areas. For nonlabeling parameters, the average labeling time per tube was measured at 8.96 seconds, with a 100% success rate in tube handling and critical stock warnings. Technical issues were promptly resolved, affirming the NESLI robot's effectiveness and reliability in automating the tube-labeling processes. Robotic systems using AI, such as NESLI, have the potential to increase process efficiency and reduce errors in the preanalytical phase of laboratory testing. Integration of such systems into comprehensive information systems is crucial for optimizing phlebotomy services and ensuring timely and accurate diagnostics.

Fixing disconnects: Exploring the emergence of principled adaptations in a competency-based curriculum.

Competency-based medical education (CBME) promises to improve medical education through curricular reforms to support learner development. This intention may be at risk in the case of a Canadian approach to CBME called Competence by Design (CBD), since there have been negative impacts on residents. According to Joseph Schwab, teachers, learners and milieu must be included in the process of curriculum-making to prevent misalignments between intended values and practice. This study considered what can be learned from the process of designing, enacting and adapting CBD to better support learners. This qualitative study explored the making of CBD through the perspectives of implementation leads (N = 18) at national, institutional and programme levels. A sociomaterial orientation to agency in curriculum-making guided the inductive approach to interviewing and analysis in phase one. A deductive analysis in phase two applied Schwab's theory to further understand sources of misalignments and the purpose of adaptive responses. Misalignments occurred when the needs of teachers, learners and milieu were initially underestimated in the process of curriculum-making, disconnecting assessment practices from experiences of teaching, learning and entrustment. While technical and structural issues posed significant constraints on agency, some implementation leads were able to make changes to the curriculum or context to fix the disconnects. We identified six purposes for principled adaptations to align with CBME values of responsive teaching, individualised learning and meaningful entrustment. Collectively, the adaptations we characterise demonstrate constructive alignment, a foundational principle of CBME in which assessment and teaching work together to support learning. This study proposes a model for making context-shaped, values-based adaptations to CBME to achieve its promise.

Development of a Smart Home Modification Program: A Delphi Survey of Multidisciplinary Health Care Experts.

There is a critical gap between the potential of smart home technologies to enhance the lives of people with physical disabilities (PwPD) and their limited use because of complex interfaces, high costs, technical issues, and insufficient institutional support. To bridge this gap and ensure that PwPD can fully benefit from smart home advancements to improve their daily living and quality of life by developing a smart home modification program. A Delphi survey involving three rounds was conducted with experts in disability and smart home technologies. Online survey. Thirty multidisciplinary health care experts. Experts rated the level of relevance in smart home modification with each survey. Consensus was set at ≥75%, content validity (CVR) was ≥.33, and convergence was ≤.5. The first Delphi result selected 26 items, and the second included 59 items after adjusting for values that fell below a CVR of .33. In the third Delphi survey, 59 items were selected. The final Delphi study had an average CVR of .96 and a coefficient of variation of .10. The last survey's consensus point was .92, indicating a high level of agreement among participants. On the basis of expert consensus, the study provides a validated framework for smart home modifications to aid PwPD. Plain-Language Summary: This research highlights the role of smart home adaptations to promote responsible, independent living for people with physical disabilities. There is a critical gap between the potential of smart home technologies to improve the lives of people with physical disabilities and their limited use because of complex interfaces, high costs, technical issues, and insufficient institutional support. The study authors developed a smart home modification program with the goal of closing this gap and to ensure that people with physical disabilities can fully benefit from smart home advancements to improve their daily living and quality of life. Based on expert ratings, the study findings provide a validated framework that occupational therapists can use to recommend smart home modifications to help people with physical disabilities. The framework can also be used by occupational therapists to identify people who may need more extensive environmental modifications and interventions.

Nursing insights on the effectiveness of automated pupillometry in two distinct pediatric intensive care units

PurposeAutomated pupillometry (AP) facilitates objective pupillary assessment. In this study, we aimed at assessing nursing perspective about the utility of AP in neurocritically ill children to understand acceptance and usage barriers to guide development of a standardized use protocol. MethodsWe conducted a web-based, cross-sectional, anonymous, Google™ survey of nurses at two independent pediatric ICUs which have been using AP over last four years. The survey included questions related to user-friendliness, barriers, acceptance, frequency of use, and method of documenting AP findings. ResultsA total of 31 nurses responded to the survey. A total of 25 nurses (80.6%) used the automated pupillometer and 19 (61.3%) nurses preferred to use the automated pupillometer on critically ill intubated patients. Respondents rated the pupillometer a median [IQR] frequency of use of 7/10 [4–9] and a mean user-friendliness of 8/10 [7–10]. Barriers to pupillometer use included pupillometer unavailability, technical issues, lack of perceived clinical significance, and infection control. ConclusionNurses have widely adopted the use of automated pupillometer in the PICU especially for critically ill intubated patients and rate it favorably for user-friendliness. Barriers against its use include limited resources, infection concerns, technical issues, and a lack of perceived clinical significance and training. Implementation of standardized PICU protocol for AP usage in critically ill children, may enhance the acceptance, increase usage and aid in objective assessments. Practice implicationsThese findings can be used to create a standardized protocol on implementing automated pupillometry in the PICU for critically ill children.

A Numerical Study of Reinforcement Structure in Shaft Construction Using Vertical Shaft Sinking Machine (VSM)

Using the Vertical Shaft Sinking Machine (VSM) for shaft construction is an emerging modern technology, which is also currently one of the most advanced techniques in the field of shaft sinking. Current research on VSM technology primarily focuses on mechanical and technical issues, neglecting the impact of the construction on the surrounding soil and the structure itself. This oversight leaves structural design lacking a reliable foundation. Additionally, there is insufficient information on the role of reinforcement design during construction in soft soils. These engineering challenges have hindered the widespread implementation of this new technology. Therefore, a series of numerical models were used to analyse the mechanical behaviour of shaft and soil during or after the sinking process, with the aim of addressing these gaps by investigating the influence of shafts constructed using VSM technology, and providing a scientific basis for reinforcement design in soft soil. The case study shows that increasing the soil-cement strength does not have a significant effect on the overall deformation of the soil surrounding the shaft, but leads to a notable reduction in the plastic zone volume, subsequently enhancing the overall stability of the neighbouring soil. The ring bottom beam design effectively reduces convergence deformation by about 50%, while also improving the horizontal internal force distribution near the cutting edge. However, this approach significantly escalates local vertical bending moments, necessitating thorough consideration in the design stage.

Unlocking responsive flexibility within local energy communities in the presence of grid-scale batteries

The transition towards a decentralized, decarbonized, and distributed energy infrastructure necessitates techno-economic initiatives to empower local energy communities (LECs) to achieve self-reliance and evolve into self-sustained electricity networks. It is crucial to underscore the significance of network resilience, especially in the context of local power generation, battery storage, and the radial topology of low-voltage (LV) networks. While contemporary LV networks have made significant attempts to integrate distributed energy resources (DERs), the notable deficiency lies in their lack of network redundancy, posing a substantial challenge in the occurrence of high-impact, low-probability (HILP) events. Therefore, to enhance LV network resilience and leverage its capability to withstand unexpected disruptions, the network operator needs to unlock the potential contributions of end-users within the active distribution networks (ADNs). In this paper, a comprehensive model is developed based on multi-temporal optimal power flow (MTOPF) for unbalanced LV networks addressing the technical issues in islanded microgrid operational planning. The contributions of the grid-scale batteries in forming islanded microgrids and the flexibility that can be provided by the end-users in the LEC have been considered in this paper. To demonstrate the performance of the proposed model, the simulation studies have been carried out on a part of medium and low voltage networks, consisting of network reconfiguration and load transferring capability to reduce the service interruptions during HILP events. The energy-not-served (ENS) is chosen as one of the key performance indicators (KPIs) in this study. With the unlocking flexibility potentials and contribution of the DERs, including grid-scale energy storage (GES) units and Photovoltaic (PV) panels, the ENS has been reduced from 700.8 kWh to 447.5 kWh by activating the local resources, proper switching action, and contribution of the flexible loads, for one of the severe HILP events, i.e., the main grid outage. In this case, the full load curtailment index is reduced from 180 to 106 client hours.

Extended Reality in Revolutionizing Neurological Disease: A New Era for Chronic Condition Treatment.

Extended reality (XR), which includes virtual reality (VR), augmented reality (AR), and mixed reality (MR), provides promising advancements in managing chronic neurological disorders such as Parkinson's disease (PD), multiple sclerosis (MS), Alzheimer's disease, and stroke. This review examines the impact of XR technologies on neurological care, highlighting their ability to create immersive, interactive environments that enhance rehabilitation through tailored motor and cognitive exercises. XR supports neuroplasticity by providing engaging, contextually relevant exercises and real-time feedback, offering innovative alternatives to traditional methods. The technical issues, clinical validation, and accessibility must be addressed despite the potential benefits. Future developments should focus on refining XR applications, integrating them with complementary technologies, and establishing robust policies to guide their effective and ethical use. XR is poised to revolutionize neurological rehabilitation, promising improved patient outcomes and transforming medical training.

PFOA-contaminated soil remediation: a comprehensive review.

Soil and groundwater contamination has been raised as a concern due to the capability of posing a risk to human health and ecology, especially in facing highly toxic and emerging pollutants. Because of the prevalent usage of perfluorooctanoic acid (PFOA), in industrial and production processes, and subsequently the extent of sites contaminated with these pollutants, cleaning up PFOA polluted sites is paramount. This research provides a review of remediation approaches that have been used, and nine remediation techniques were reviewed under physical, chemical, and biological approaches categorization. As the pollutant specifications, environmental implications, and adverse ecological effects of remediation procedures should be considered in the analysis and evaluation of remediation approaches, unlike previous research that considered a couple of PFAS pollutants and generally dealt with technical issues, in this study, the benefits, drawbacks, and possible environmental and ecological adverse effects of PFOA-contaminated site remediation also were discussed. In the end, in addition to providing sufficient and applicable understanding by comprehensively considering all aspects and field-scale challenges and obstacles, knowledge gaps have been found and discussed.

An 8-Week Virtual Exercise Training Program for Pediatric Solid Organ Transplant Recipients.

Musculoskeletal strength can be impaired in pediatric solid organ transplant recipients. Exercise training programs can be beneficial but in-person delivery can be challenging; virtual exercise programs can alleviate some of these challenges. This feasibility study aimed to deliver an 8-week virtual exercise program in pediatric solid organ transplant recipients. Program delivery occurred 3 times per week for 30minutes. An exercise stress test was completed prior to program start. The Bruininks-Oseretsky Test of Motor Proficiency strength subtest and self-report surveys were used to assess musculoskeletal strength, quality of life, fatigue, and physical activity. Contact was maintained through a text messaging platform. Z scores were calculated using standardized normative data. Medians (interquartile range) are reported for all other data. Eleven participants completed the program (2 liver, 5 kidney, 4 heart; 58% females; median age = 11.5 [10.3-13.8]y). Six participants attended ≥60% of classes, 5 participants attended <50% of classes. After 8weeks, strength scores improved (Z score, Pre: -1.0 [-1.65 to -0.60] to Post: -0.2 [-1.30 to 0.40]; P = .007) with no change in other outcome measures. The virtual exercise program was delivered without technical issues and received positive participant feedback. Engagement and costs need to be considered.

Young People Talk About Digital Support for Mental Health: An Online Survey of 15-30-Year Olds in New Zealand.

Mental distress is on the rise for young people, and there are high levels of unmet need for support. Increasingly, young people are engaging with online mechanisms of support to avoid cost and wait times; however, online support does have its limitations. We surveyed young people, 15-30 years of age, in Aotearoa New Zealand to explore their views of digital support for mental health. The aim of this study was to find out from young people what they thought about various types of online support and perceived benefits and drawbacks. A cross-sectional online survey promoted through social media advertising was used. Participants included anyone aged 15-30 years living in Aotearoa New Zealand. The survey ran for 10 weeks between February and May 2022. It included demographic questions and asked about (i) use of digital support for mental health; (ii) what digital support is best used for; (iii) best ways of publicising mental health supports to young people; and (iv) where they would choose to get information about mental health support. Questions were a mix of forced choice and free text. Participants could opt to take part in a follow-up interview. Surveys were completed by 1471 participants; two respondents participated in an interview. A total of 641 participants had used digital support before (44%). The most used forms of digital support were websites (n = 324) and watching videos (n = 260), although these were not necessarily rated as the most helpful. Alternatives that people most wanted to try were podcasts and phone or video consultations with a counsellor or therapist. Drawbacks of digital support included privacy concerns, technical issues, lack of quality and motivation requirements. Benefits included ease of access, anonymity and a non-threatening starting point. Digital support has a place in mental health care, but strong sentiment was expressed in favour of real-life support. It may also be worth investing in more innovative types of digital support such as online performing arts and podcasts. A group of young people were recruited as co-researchers, had input into survey design, data analysis and interpretation and are co-authors (list of co-authors). Survey respondents also included young people with lived experience who are members of the general public.

Trend analysis and regulatory strategies for traditional Chinese medicine formula granules

With the advent of the &quot;post-pilot era&quot; of traditional Chinese medicine formula granules, there are still a series of policy, technical, and industrial issues that need to be addressed in their production, regulation, and application practices. This article systematically reviews the development history and relevant policy evolution of traditional Chinese medicine formula granules, and summarizes the current industrial status in terms of quality standards, medical insurance payments, and market landscape. Based on a comparative analysis and positioning discussion between traditional Chinese medicine formula granules and traditional herbal decoctions, it is believed that the following practical issues still exist in this field:(1)A reasonable competitive evolution mechanism has not yet been formed, making it difficult to &quot;improve quality and efficiency&quot; of products;(2)The number of national standards is limited, and local standards operate independently;(3)Production processes are relatively constrained;(4)There is a contradiction between fixed equivalents and fluctuations in raw materials;(5)Market positioning needs to be clarified, and medication scenarios are limited. Furthermore, based on the perspective of shaping a healthy ecosystem for the traditional Chinese medicine industry and promoting rational clinical use of traditional Chinese medicine, the following suggestions are put forward:(1)Guide the formation of a product-based competitive landscape for traditional Chinese medicine formula granules;(2)Promote the establishment of a comprehensive regulatory system for the entire production process of traditional Chinese medicine formula granules;(3)Conduct systematic research on the relationship between the equivalents and intake of formula granules;(4)Break through existing application scenarios and reasonably expand the application forms of formula granules.

Patient-centered clinical decision support challenges and opportunities identified from workflow execution models.

To use workflow execution models to highlight new considerations for patient-centered clinical decision support policies (PC CDS), processes, procedures, technology, and expertise required to support new workflows. To generate and refine models, we used (1) targeted literature reviews; (2) key informant interviews with 6 external PC CDS experts; (3) model refinement based on authors' experience; and (4) validation of the models by a 26-member steering committee. We identified 7 major issues that provide significant challenges and opportunities for healthcare systems, researchers, administrators, and health IT and app developers. Overcoming these challenges presents opportunities for new or modified policies, processes, procedures, technology, and expertise to: (1) Ensure patient-generated health data (PGHD), including patient-reported outcomes (PROs), are documented, reviewed, and managed by appropriately trained clinicians, between visits and after regular working hours. (2) Educate patients to use connected medical devices and handle technical issues. (3) Facilitate collection and incorporation of PGHD, PROs, patient preferences, and social determinants of health into existing electronic health records. (4) Troubleshoot erroneous data received from devices. (5) Develop dashboards to display longitudinal patient-reported data. (6) Provide reimbursement to support new models of care. (7) Support patient engagement with remote devices. Several new policies, processes, technologies, and expertise are required to ensure safe and effective implementation and use of PC CDS. As we gain more experience implementing and working with PC CDS, we should be able to begin realizing the long-term positive impact on patient health that the patient-centered movement in healthcare promises.

Applications and issues of artificial intelligence in the financial sector

This paper investigates the application of artificial intelligence in the financial sector, analyzing the existing technical, ethical, and legal issues, and proposing corresponding solutions. The research background highlights the widespread use of AI technology in the financial industry and the efficiency and cost benefits it brings. The research focuses on challenges related to data quality, feature engineering, model complexity, real-time capability, computational resources, and data privacy protection. The research method includes literature review and case analysis, revealing the applications of AI technology in stock prediction, risk management, trading strategy optimization, and customer service. The results indicate that effective data cleaning, automated feature engineering, model simplification and regularization techniques, the use of interpretability tools like LIME and SHAP, and the introduction of fairness evaluation standards can significantly enhance AI model performance and transparency. The conclusion points out that these measures can not only solve the current technical and ethical issues of AI in the financial sector but also promote the widespread application and standardization of AI technology in other fields.

음주운전방지장치 부착 조건부면허 도입에 따른 정책적 및 기술적 고려사항에 관한 연구

Last year, there were 214 deaths from drunk driving traffic accidents in Korea, this rate is very high for 7.8% of all traffic accident deaths. Looking at the average drunk driving recidivism rate over the past five years, 44.5% of drunk drivers were repeat offenders. Despite the strengthening of drunk driving enforcement and punishments, drunk driving problems are still serious in Korea. In order to eradicate habitual drunk driving, an amendment to the Road Traffic Act about the legislation of alcohol ignition interlock device was passed last year in Korea, and it will be introduced in October of this year. In order to operate this system following the legalization of alcohol ignition interlock device effectively, the Road Traffic Act enforcement decree and enforcement rules must be established, and an operation manual must be also developed in accordance with Korean circumstances. To this end, this study was performed to identify policy issues and technical problems resulting from the introduction of alcohol ignition interlock device and to minimize them before operating this system targeting drunk driving repeat offenders. Policy issues were included the double punishment, privacy invasion due to excessive log data collection, operating costs, prior education programs and alcohol dependence of drunk drivers. Technical issues were also reviewed by considering National Police Agency standards, installation and operation management organizations and/or institutes, ignition prevention by proxy, log data management, system security, override function, and blood alcohol concentration display method. Finally, the limitations of this study and the implications of future researches were discussed. This study might be helpful to reduce alcohol related to traffic accidents effectively using an alcohol interlock system in Korea if policy makers can review these considerations closely.

Investigating digitization and digital preservation strategies for theses and dissertations: a case study of Quaid-I-Azam university, Pakistan

Purpose The purpose of this study is to outline the process, procedures and techniques used for digitization and digital preservation of theses and dissertations (TDs) collection at the Central Library of Quaid-I-Azam University, Pakistan. Design/methodology/approach Since the phenomenon under investigation is exploratory in nature, a case study qualitative paradigm was used to conduct this study. Findings The findings of the study offer a brief overview of the cost-effective solution that leveraged in-house expertise for the digital preservation of TDs. This led to the establishment of a knowledge repository hosting a substantial collection of approximately 25,857 electronic theses and dissertations, accessible online since August 2023. This project digitally preserved approximately 9,387 TDs on CDs/DVDs, and scanned about 15,000 print TDs, comprising around 1,399,244 pages. The cost incurred per page, including labor and rent of a photocopy machine, was just Rs 0.548 making it a cost-effective technique. The total cost incurred for this process was just 0.768m Pakistani rupees (equivalent to $2,509.55). The findings revealed key challenges, including administrative, financial, technical and copyright issues, that impede the effective execution of the project. Research limitations/implications This case study is limited to one Pakistani public sector university library. This case study holds significance in terms of practical insights and implications for academic institutions and library administrators in other developing countries like Pakistan, which have similar economic, social and technical circumstances. Originality/value To the best of the authors’ knowledge, this is the first-ever study conducted to elucidate the cost-effective strategy adopted for digitally preserved TDs without additional financial and human resources while creating a knowledge repository.

How can ChatGPT assist hospitality and tourism education?

ABSTRACT Artificial intelligence (AI) poses new challenges and opportunities for hospitality and tourism (H&T) education. This study explores how ChatGPT, a chatbot powered by a generative pre-trained transformer model, can affect H&T curriculum design and delivery. Using secondary data from academic articles, news reports, and official documents, the paper applies curriculum theory and stakeholder theory to examine the competencies, expectations, and interests of H&T students, educators, and industry practitioners regarding ChatGPT. This study reveals that ChatGPT can enhance learning outcomes and experiences, improve educational equity and efficiency, and raise ethical, technical, and pedagogical issues for H&T education. This research note also offers insights and recommendations for H&T educators to integrate ChatGPT into their teaching practices and prepare students for research work and careers that incorporate generative AI. Moreover, the study contributes to the literature on H&T education by examining the role and impact of ChatGPT as an innovative and emerging technology.

Training Service Users in the Use of Telehealth: Scoping Review.

The use of telehealth has rapidly increased, yet some populations may be disproportionally excluded from accessing and using this modality of care. Training service users in telehealth may increase accessibility for certain groups. The extent and nature of these training activities have not been explored. The objective of this scoping review is to identify and describe activities for training service users in the use of telehealth. Five databases (MEDLINE [via PubMed], Embase, CINAHL, PsycINFO, and Web of Science) were searched in June 2023. Studies that described activities to train service users in the use of synchronous telehealth consultations were eligible for inclusion. Studies that focused on health care professional education were excluded. Papers were limited to those published in the English language. The review followed the Joanna Briggs Institute guidelines for scoping reviews and was reported in line with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. Titles and abstracts were screened by 1 reviewer (EG). Full texts were screened by 2 reviewers (EG and JH or SC). Data extraction was guided by the research question. The search identified 8087 unique publications. In total, 13 studies met the inclusion criteria. Telehealth training was commonly described as once-off preparatory phone calls to service users before a telehealth visit, facilitated primarily by student volunteers, and accompanied by written instructions. The training content included guidance on how to download and install software, troubleshoot technical issues, and adjust device settings. Older adults were the most common target population for the training. All but 1 of the studies were conducted during the COVID-19 pandemic. Overall, training was feasible and well-received by service users, and studies mostly reported increased rates of video visits following training. There was limited and mixed evidence that training improved participants' competency with telehealth. The review mapped the literature on training activities for service users in telehealth. The common features of telehealth training for service users included once-off preparatory phone calls on the technical elements of telehealth, targeted at older adults. Key issues for consideration include the need for co-designed training and improving the broader digital skills of service users. There is a need for further studies to evaluate the outcomes of telehealth training activities in geographically diverse areas.

Integration of Technology in Chemistry Education at University Level

Technology integration in chemistry education at the university level is increasingly recognized as a transformative approach to enhance teaching methodologies and improve student learning outcomes. This abstract provides a concise overview of the impact, challenges, and future directions of technology integration based on recent studies and empirical evidence. This study aims to explore the effectiveness of integrating technology, such as virtual laboratories, simulation software, and multimedia resources, in enhancing student engagement and learning in university-level chemistry education. A mixed-methods approach was employed, including surveys and interviews with students and faculty members from multiple universities. Quantitative data from pre- and post-assessments were analyzed to assess learning outcomes, while qualitative insights were gathered to explore perceptions, challenges, and recommendations related to technology integration. Findings indicate that technology-enhanced tools significantly enhance student understanding of chemistry concepts and improve problem-solving skills. Students and faculty members perceive technology as beneficial for creating interactive and dynamic learning environments. However, challenges such as technical issues and faculty resistance require institutional support and professional development initiatives to overcome. The integration of technology in chemistry education holds promise for transforming traditional teaching practices and preparing students for careers in scientific research and industry. Future research should focus on exploring emerging technologies and innovative pedagogical strategies to further optimize technology integration in higher education.

Online Medical Consultation Service-Oriented Recommendations: Systematic Review.

Online health communities have given rise to a new e-service known as online medical consultations (OMCs), enabling remote interactions between physicians and patients. To address challenges, such as patient information overload and uneven distribution of physician visits, online health communities should develop OMC-oriented recommenders. We aimed to comprehensively investigate what paradigms lead to the success of OMC-oriented recommendations. A literature search was conducted through e-databases, including PubMed, ACM Digital Library, Springer, and ScienceDirect, from January 2011 to December 2023. This review included all papers directly and indirectly related to the topic of health care-related recommendations for online services. The search identified 611 articles, of which 26 (4.3%) met the inclusion criteria. Despite the growing academic interest in OMC recommendations, there remains a lack of consensus among researchers on the definition of e-service-oriented recommenders. The discussion highlighted 3 key factors influencing recommender success: features, algorithms, and metrics. It advocated for moving beyond traditional e-commerce-oriented recommenders to establish an innovative theoretical framework for e-service-oriented recommenders and addresses critical technical issues regarding 2-sided personalized recommendations. This review underscores the essence of e-services, particularly in knowledge- and labor-intensive domains such as OMCs, where patients seek interpretable recommendations due to their lack of domain knowledge and physicians must balance their energy levels to avoid overworking. Our study's findings shed light on the importance of customizing e-service-oriented personalized recommendations to meet the distinct expectations of 2-sided users considering their cognitive abilities, decision-making perspectives, and preferences. To achieve this, a paradigm shift is essential to develop unique attributes and explore distinct content tailored for both parties involved.

Transforming Education in Coastal Indonesia: A Survey of Digital Literacy and Competence Among Educators

This research explores the digital literacy and competence of educators in coastal areas of Indonesia, focusing on technology access, usage patterns, and challenges in integrating digital tools into teaching practices. Utilizing a quantitative survey method, data was collected from 235 educators teaching in coastal area schools. The study found a generally positive trend in technology access, with reliable availability of computers, laptops, and internet connection supporting educators' professional tasks. However, gaps in access to up-to-date software highlight the need for improved resources and support to ensure equitable technology use. Educators demonstrated a strong trend towards integrating digital tools in lesson planning and communication with students. Despite this, the uneven adoption of these tools suggests a need for broader and more equitable technology integration. Significant challenges include difficulties in keeping up with technological advancements and managing technical issues, emphasizing the need for comprehensive professional development and targeted training on advanced digital tools and troubleshooting. While the study provides valuable insights, it is limited by its small sample size and geographic focus, potentially not fully representing the diverse experiences of educators across Indonesia. Future research should expand the sample size and geographic range to offer a more comprehensive understanding of technology integration challenges and to support more effective recommendations for enhancing technology use in education.