Usability Aspects Research Articles

Unraveling the Impacts of Whatsapp Messaging on Interpersonal Communication Dynamics: A Study of University Students

This quantitative study investigates the influence of WhatsApp usage on interpersonal communication skills and interpersonal relationships among university students. Utilizing a self-administered questionnaire, 202 valid responses were collected to explore the correlation between WhatsApp use and these two variables. Our findings indicate a significant association between the frequency of WhatsApp usage and interpersonal communication skills and interpersonal relationships among the participating university students. This research contributes valuable insights into the contemporary dynamics of communication technology and its impact on the social fabric within educational settings. This can empower students to navigate the digital communication landscape with awareness and skill. Future research should adopt an interdisciplinary approach to study the cultural and psychological aspects of WhatsApp usage.

Assessment and Optimizing Task Performance through Artificial Intelligence Systems in Hangzhou Ruinan Information Technology Co., Ltd

This research study employs a quantitative-descriptive approach to evaluate and enhance task performance through the utilization of Artificial Intelligence (AI) systems at Hangzhou Ruinan Information Technology Co., Ltd., a key player in the technology hub of Hangzhou City, China. The study comprises four main parts: examining AI system characteristics and provisioning, assessing actual task performance, investigating factors influencing system effectiveness, and identifying challenges impacting performance. Participants include management, IT professionals, and employees working with AI systems, providing valuable insights into system implementation and operation. Data analysis, utilizing weighted mean and verbal description techniques, offers both quantitative and qualitative perspectives on AI's role in optimizing task performance. Findings reveal strong scalability, efficient overall performance, and positive impacts on workflow processes and resource utilization. Security measures, especially in data protection, and usability aspects require attention for further enhancement. The study underscores the importance of reliable data, seamless user adoption, enhanced expertise, and consistent system performance in optimizing task performance through AI within the organization. Conclusions emphasize the need to strengthen security measures, enhance usability, and address areas for improvement. The study underscores the value of AI in achieving the organization's goal of enhancing task performance and productivity. Recommendations include initiatives to enhance data quality, streamline user acceptance, invest in employee skill development, and improve scalability and performance. These recommendations aim to guide Hangzhou Ruinan Information Technology Co., Ltd. in refining its AI systems to drive efficiency and excellence in its operations.

Penerapan Aplikasi E-Cuti Berbasis Web Dengan Extreme Programming (Studi Kasus: Pengadilan Agama Jakarta Barat)

ABSTRACT
 The West Jakarta Religious Court is one of the divisions of the Supreme Court of the Republic of Indonesia, now the leave process at the West Jakarta Religious Court is conventional or in the sense of the word manual. From the results of my observations at the West Jakarta Religious Court, employees need to take a leave application form at the personnel division. After that, the employee needs to fill out a form and ask for a signature from the Head of Sub-Division of each division to obtain leave permission. Then from the Head of the Sub-Division continued by asking for the signature of the Head of the West Jakarta Religious Court. After obtaining signatures from the West Jakarta Religious Court, the form is continued back to the Head of Personnel Sub-Section to recap data and reduce the employee's remaining leave. Based on this problem, a solution is proposed to overcome this problem, namely by creating a Web-based employee E-Leave application at the West Jakarta Religious Court, using the PHP programming language and MySQL database, as well as a software development method using Extreme Programming. Testing on the E-Leave application used ISO 25010 with two aspects of testing, namely the functionality usability aspect and obtaining 100% results and the operability aspect obtaining 85.24% results.
 Keyword: West Jakarta PA Leave, Extreme Programming, Web, ISO 25010

Integrating analytical statistical models, sequential pattern mining, and fuzzy set theory for advanced mobile app reliability assessment

The study presents a new method for evaluating the reliability of mobile applications using the Corcoran model. This model includes several aspects of reliability, including performance, reliability, availability, scalability, security, usability, and testability. The Corcoran model can be applied to evaluate mobile applications by analysing key reliability metrics. Using the model significantly improves the reliability assessment of applications compared to traditional methods, which are primarily focused on desktop and server configurations. The aim of the study is to offer a more optimised approach to evaluating the reliability of mobile applications. The paper examines the problems faced by mobile app developers. This study represents a new application of the Corcoran model in evaluating the reliability of mobile applications. This model is characterised by an emphasis on the use of quantitative statistics and the ability to provide an accurate estimate of the probability of failure without any inaccuracies, which distinguishes this model from other software reliability models. The paper suggests using a combination of analytical statistical models, data extraction methods such as sequential pattern analysis, and fuzzy set theory to implement the Corcoran model. The application of the methodology is demonstrated by studying software error reports and conducting a comprehensive statistical analysis of them. To improve the results of future research, the paper suggests making more extensive use of the Corcoran model in various mobile applications and environments. It is recommended to change the model to take into account the constantly changing characteristics of mobile applications and their increasing complexity. In addition, it is advisable to conduct additional research to improve the data mining methods used in the model and explore the possibility of integrating artificial intelligence for more advanced software reliability analysis. Applying the Corcoran model to the mobile app development process to evaluate reliability can significantly improve the quality of applications, leading to increased customer satisfaction and trust in mobile apps. This model can serve as a guide for developers and companies to evaluate and improve their applications, driving innovation and continuous improvement in the competitive mobile app sector.

MYUMRAH: A DIGITAL UMRAH MOBILE GUIDE APPLICATION

Umrah, a sacred ritual in Islam, holds significant religious importance as believers seek to fulfill their faith. This article presents the development of the MyUmrah application, designed to assist pilgrims in their Umrah journey both before and during the performance of the ritual. This application encompasses various functions tailored to meet the needs of Umrah pilgrims. The development of MyUmrah follows an iterative application development process, beginning with the collection of data to establish requirements followed by design and development of the prototype that aligns with the identified requirements. To gain insights into the newly developed app, a prototype evaluation is conducted using dichotomous techniques, providing a comprehensive understanding of its functionality and effectiveness. The feedback received during the evaluation phase have been overwhelmingly positive, spanning various aspects of usefulness, usage, and design. This indicates a high level of acceptance and satisfaction among Umrah pilgrims. Users have reported positive experiences, affirming the application's effectiveness in facilitating a smooth Umrah experience. MyUmrah application proves to be beneficial, offering valuable assistance to pilgrims throughout their sacred journey.

The honey bee gut microbiota: a review under the perspective of bees threatened by agrochemicals

Although it is very well known that bees play a key role in the stability of several ecosystems globally, anthropogenic activities causing environmental degradation, such as the use of agrochemicals, can ultimately lead to the extinction of native species, with severe ecological consequences. The advances in high throughput sequencing technologies and bioinformatics tools in the last decades have contributed to the understanding of the importance of the microbiome for the health of different animal species. However, there is a paucity of information on the effects of the exposition to agrochemicals on the microbial composition of honeybees and how this can compromise their health. In this systematic review article, we discuss the composition and biological function of native honeybee gut microbiota and how it can be possibly affected by agrochemicals, including antibiotics. We performed a systematic literature review focusing on the effect of agrochemical use on the gut microbiota of honey bees. A bibliographical survey was conducted from 1950 to 2023 in all available databases. We used the keywords “honey bees”, “microbiome” and “agrochemicals”. A total of 95 papers addressing this topic were selected, carefully checked and grouped into three categories: 1) The bee microbiome and its importance; 2) Functional roles of the bee gut microbiome; and 3) The problem of the anthropic actions that threaten the gut microbiome of bees. The present report can serve future studies addressing the complex ecological aspects of antimicrobial usage in agriculture and livestock in the scope of honeybee preservation.

Metformin as an adjuvant option for systemic treatment of breast cancer

The modification of the used and development of new treatment regimens significantly improved the overall, recurrence-free survival and quality of life of patients with malignant oncological diseases. Recently, drugs used in non-oncological pathology have been introduced into cancer treatment regimens. This phenomenon is associated with a better understanding of the biology of tumor cells and the mutations that can change this biology. Metformin is actively researched in terms of the treatment of various oncological diseases. For the most part, the modification of the neoadjuvant treatment regimen for local or locally advanced stages of breast cancer results in a less traumatic variant of surgical procedure, thereby increasing recurrence-free survival. The aim is to systematize the data on the possibilities of the antitumor metformin usage for neoadjuvant treatment of breast cancer and to study the results of clinical and morphological effectiveness of the treatment by reviewing the literature. A search of PubMed from February 2023 showed 258 results on the antitumor effects of metformin, of which only 159 were published in the last 5 years. On this subject only four clinical studies were carried out, and only one of them pertained to the implementation of metformin in the systemic treatment of breast cancer. For this review, 55 sources of general and specialized information on anticancer effects of metformin were analyzed. It should be noted that approximately 60% of the study results were published more than 5 years ago and primarily focused on the biological, not clinical aspects of metformin usage. Only one study regarding the implementation of metformin for systemic treatment of breast cancer was carried out by Ukrainian scientists. Currently, there are 2 main hypotheses regarding the antitumor effect of metformin. First one is driven by its impact on the metabolic function of cells and energy deficit. Second - the method of regulating the proliferation of tumor cells involves the PIK3 branch of the regulatory cascade of biological reactions in cancer cells. In addition, metformin reduces the development of resistance in breast cancer cells, thus allowing active chemotherapy agents to act in synergism. However, further studies on the effect of metformin used alone or in combination with standard chemotherapy regimens require a more adequate definition of proto-oncogenic mutations and somatic mutation load. However, it should be considered that more aggressive therapy of oncological diseases can be a nosocomial selector of more aggressive clones of the pool of tumor cells. The main questions are whether metformin can be a targeted drug for the treatment of tumor, whether it is appropriate to use it at the time when the manifestation of evolution disturbances of tumor cell is minimal and homogeneity is maximal.

Implementation of COVID-19 Preventive Healthy Lifestyle (PHL) among Administration Staff and its association with Health Consciousness and Occupational Factors: A Cross Sectional Study in Faculty Medicine Universitas Indonesia

Background: The COVID-19 pandemic has altered the pattern of human life toward a new life order,particularly in the office setting. Appeals, prohibitions, even large-scale social restrictions were implemented in order to decrease the cases. To cope with the rapid spread of the outbreak, citizens have to increase health consciousness and reduce their social interactions. The health consciousness require health protocols implementation. Ensuring high levels of compliance and several modifiable occupational risk factors in the office setting has been a challenge to manage the pandemic effectively.
 Methods: The research method used in this study is empirical research, by taking a problem-based approach to a behavioral approach namely health consciousness supported by primary data sourced from data sources. The data were obtained in October to November 2021.
 Results: When taken as a whole, the implementation of health protocols as part of the effort to prevent the spread of COVID-19 was relatively good; it's just that certain obstacles must be evaluated. The highest health consciousness scores were personal responsibility and health motivation. While the lowest of it were the psychological/inner state aspect and the health information and seeking usage. There was a positive correlation between the dimensions of health consciousness and several items of COVID-19 PHL (r > 0.3). The ease of applying COVID-19 PHL was significantly better for shift workers compared to non-shift workers, namely to severalitems of PHL. Based on the work pattern groups (WFH < 20 hours, WFH 20-40 hours and WFH > 40 hours, alternate to Work From Office (WFO)), there were no significance difference in the ease of implementation COVID-19 Preventive Healthy Lifestyle.
 Conclusion: Our results suggest that to effectively manage the pandemic, we should ensure that health consciousness is well-maintained, especially aspects of health information and seeking usage and psychological/inner state. 
 Keywords: health consciousness, COVID-19 Preventive Healthy Lifestyle (PHL) at the workplace, shift work, work patterns during pandemic

University Teachers’ Agency in Relation to Technology Use in Teaching: A Quantitative Investigation

This study investigates Danish university teachers’ agency in using digital technologies in teaching. Furthermore, it explores how teachers’ conduct and experienced constraints are connected to different dimensions of teachers’ agency.
 The paper is based on survey responses from 344 teachers about their agentic will and power to influence aspects of technology usage in teaching. Using an exploratory factor analysis, we identify three distinct factors and their relations: 1) wanting to control digital data and having the power to do so is distinct from 2) teachers’ power and will to control the technologies adopted and 3) how technologies are applied in teaching. Furthermore, all factors correlate with the teachers’ conduct (extent to which technology facilitates education interactions), while there are factor-specific patterns to the constraints (e.g., time, experience).
 The results provide a basis for revisiting teachers’ role in university decision-making. We include a discussion on the entangledness of agency across institutional levels.

E-Komik Bahasa Indonesia berbasis Android dengan Pendekatan Konstruktivisme untuk Siswa Sekolah Menengah Pertama

The limitations of learning media in the teaching and learning process make it difficult and difficult to create learning media and have difficulty choosing media that suits the learning conditions experienced at SMPN 5 Kendari. This research aims to develop e-comic learning media with a constructivist learning approach for students of SMP Negeri 5 Kendari class VII semester 1. Apart from that, this research also uses the SPRINT method in making e-comics with stages namely understand, diverge, decide, prototype, and at the validate stage using ISO 25010 testing on the aspects of functional suitability, performance efficiency, usability, maintainability and portability. The result of this research is an application as an e-comic based learning media for middle school students in class VII semester 1. In addition, there are test results in the form of ISO 25010 testing from media experts which are declared very feasible with a percentage of 95.26%. Then a small group trial test was also carried out which got 93.33% and a large group CBA test of 91.86%. After testing this group, the percentage of students' completeness in understanding learning outcomes using e-comics was 78.68%. Therefore, it can be concluded that e-comics developed using the SPRINT model and constructivist approach are able to increase the effectiveness of Indonesian language learning at SMP Negeri 5 Kendari class VII.

Impact of financial incentives for infection prevention and management on antibiotic use: A Korea National Health Insurance cohort study

BackgroundThe Korean government implemented financial incentives to enhance infection prevention and management within general hospital settings. This study aimed to evaluate the impact of infection control compensation on antibiotic usage using a controlled interrupted time series analysis. MethodsThe main unit of analysis was 270,901 inpatient episodes extracted from the Korean National Health Insurance Service Cohort Database from 2013 to 2019. The 96-month period was examined before and after the intervention, which was set to September 1, 2017, by applying a 1-year lag time after the incentive was introduced. Segmented regression was used to estimate the effects of interventions in a controlled interrupted time series. Hospitals that received nationwide financial incentives for infection prevention and management were included in the analysis. The study’s primary outcome was the use of antibiotics based on the WHO Access, Watch, and Reserve (AWaRe) classification of antibiotics, and the secondary outcome was the number of days of antibiotic use as days of therapy (DOTs) per patient day (PD). ResultsThe probability of overall antibiotic use decreased between incentivized and unincentivized hospitals (odds ratio [OR], 0.922; 95% confidence interval [CI], 0.859–1.000). The difference in level change in the use of third-generation cephalosporins (OR,0.894; 95% CI, 0.817–0.977) and carbapenem (OR,0.790; 95% CI, 0.630–0.992) was significantly reduced between incentivized and unincentivized hospitals. The difference in slope change on DOTs/PD of glycopeptides was − 0.005 DOT/PDs, and that of carbapenem was − 0.003 between incentivized and unincentivized hospitals. ConclusionWe observed that incentives for infection prevention and management have had a positive impact on some aspects of antibiotic usage. A partial decrease was observed in antibiotic use, accompanied by a modest reduction in DOTs/PD, particularly for antibiotics aimed at addressing multidrug-resistant pathogens. Further investigation is necessary to establish evidence for extending these incentives.

Using insights on potential users’ behavior and transport requirements to inform the development of a more sustainable vehicle concept as part of a mobility transition

Current mobility systems put a burden on people and the environment, e.g., through greenhouse gas emissions, and depletion of natural resources. Therefore, a mobility transition including changes in legislation, infrastructure, and behavior as well as socio-technical innovations is required. Against this backdrop, the inter- and transdisciplinary project presented in this article aims at developing a new vehicle for individual everyday travel. Target characteristics of the vehicle are: resource-efficient, low in harmful substances in its components, and low on greenhouse gas emissions while driving. To inform the vehicle’s development, n = 730 citizens of a medium-sized university city and its surrounding areas in central Germany took part in a survey on their mobility behavior, intention to switch to the new vehicle, their preferences for possible product features, payment models, and road use. Regression analyses revealed that socioeconomic factors (income, children in the household), individual travel characteristics (travel distance, motorization of vehicle), and psychological factors (innovativeness, weather resistance, travel habit strength, attitudes towards cars and bicycles) explained significant portions of the observed variance in participants’ intention to switch from current travel modes to the new vehicle. Furthermore, our results suggest that the new vehicle may be particularly attractive to potential users if it combines advantageous characteristics of bicycles and cars. Compared to sustainability-relevant aspects of vehicle usage, participants ascribed less importance to aspects of vehicle production and disposal. These learnings provide valuable insights for actors in industry, politics, design, and research striving to promote socio-technical innovations for a transition towards more sustainable mobility.

A longitudinal study of the association between depression, anxiety and stress symptoms of university students in Serbia with excessive social media use before and during COVID-19 pandemic.

Besides the well known good side of social media, it cannot be denied some of its negative effects. This two-phase study aimed to find out whether the usage of social media during the COVID-19 pandemic showed some significant association with depression and anxiety symptoms, and levels of stress. The study was based on the survey of 1,476 randomly selected students at the initial phase (December 2019 to February 2020), and 1,400 students of the same cohort at the follow up phase (December 2021-February 2022). The collected data included socio-demographics, social media usage aspects, and the ones concerning levels of depression, stress and anxiety symptoms. Standardized questionnaires - the Bergen Social Media Addiction Scale (BSMAS) was applied to measure the levels of social media addiction, and the Depression Anxiety Stress Scale (DASS 42) was administered to evaluate the symptoms of depression, anxiety and stress. The comparison of responses regarding the six components of online social media addiction, which constitute the BSMAS, between the two phases of the study showed significant difference (p < 0.01) in favor of the follow up phase in the raised scores of all but one component. The probable severe or extremely severe symptoms of depression, anxiety, and stress were notably enhanced during the peak of pandemic, and all three of them were positively correlated with all 6 BSMAS components (p < 0.01). The results also indicate that students, who consumed alcohol beverages and psychoactive substances more frequently in the pandemic, exhibited more noticeable symptoms of depression (p < 0.01, for both associations). Higher levels of anxiety symptoms in students were found to be associated with longer sleep during the night (p < 0.01), increased alcoholic beverages consumption (p < 0.01). Stress levels had the strongest correlations with consuming alcoholic beverages during the pandemic (r = 0.16, p < 0.01). The comparison between two phases of this follow-up study revealed significant changes in the Internet usage characteristics, which may have had an essential influence on the investigated symptoms of depression, anxiety, and stress. However, other factors that may have influenced student's mental health during the COVID-19 pandemic should also be considered.

Light, activity, and sleep: Design and usability evaluations of a web-based course supporting changes to routines and the home

While research indicates that indoor lighting, exposure to daylight, physical activity, and sleep interact to influence functioning, mood, and daily rhythm, strategies are needed to support behavioral changes among older adults who often spend more time at home after retirement. The objective was to design a web-based course to encourage behavior change related to light, activity, and sleep. Grounded in the information-motivation-behavioral skills model, the course aims to promote well-being and improve lighting and darkness conditions at home. The technology acceptance model was used as a framework for evaluating usability aspects of the course. Data were collected through video observations, interviews, and questionnaires. Three experts on pedagogy, design for older adults, and/or interaction design were invited to independently assess usability of the course content in a full-scale model of an apartment. Six adults (age 70 &amp;ndash; 79) participated in a similar usability evaluation in a second round in the apartment. A two-step usability evaluation by experts in the first round and target users in the second proved valuable. Findings enabled refinement of the course content and significantly reduced the number of identified usability issues in the second round. All six participants in the second round rated the overall user-friendliness as 6 out of 7. Changes to the content after the second round included, e.g., clarifying the different types of text links and considering issues with online enrolment in the course. The web-based course, supplemented with physical meetings, can benefit late-life learners because of the relevant easy-to-use content.

DEVELOPMENT OF CAREER INFORMATION MEDIA FOR HIGH SCHOOL STUDENTS IN JAKARTA

The goal will be achieved in the study. This is about developing career information media for public high school students in Jakarta. Research conducted uses approach research and development. Type study This is used based on an objective study, i.e., it produces a product form for planning media careers for state high school students in Jakarta who meet criteria for acceptability. The results of this research, namely the average calculation of all percentage scores obtained from the design validation stage, which involved assessments from material experts, media experts, guidance and counselling teachers, and students, found that the average score reached 93%. This value is included in the very good criteria, so no revision is needed. Therefore, it can be concluded that the roadmap media product has met the acceptability criteria, which cover the aspects of usability, feasibility, appropriateness, and accuracy very well, so it does not need to be revised.

Using student personas when developing digital mathematics learning resources to improve teacher training

In this study, we discuss how the use of student personas can support pre-service teachers developing digital mathematics learning resources and improve mathematics teacher training programs. The use of modern technologies in schools requires that pre-service teachers prepare for new challenges, including the development of digital learning resources. To be able to develop such resources during teacher training, pre-service mathematics teachers without direct contact with students need insights into particular characteristics of mathematics students. We argue that personas, a tool and approach adopted from user experience research, can provide such insights. For this purpose, we interviewed four pre-service mathematics teachers who were developing digital learning resources in the span of a semester. We analyzed the data using grounded qualitative content analysis approaches and identified the following key aspects of personas usage for mathematics teacher training: (A) personas can act as an information tool, (B) personas can act as a planning and feedback tool, (C) the use of personas can trigger reflection processes for pre-service teachers, and (D) sustained work with personas may increase its impact. Our results indicate that personas can offer pre-service teachers support when developing digital learning resources and contribute to their professional development.

Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review.

The global health pandemic has affected the increasing older adult population, especially those with mental illnesses. It is necessary to prevent cases of cognitive impairment in adults early on, and this requires the support of information and communication technologies for evaluating and training cognitive functions. This can be achieved through computer applications designed for cognitive assessment. In this review, we aimed to assess the state of the art of the current platforms and digital test applications for cognitive evaluation, with a focus on older adults. A systematic literature search was conducted on 3 databases (Web of Science, PubMed, and Scopus) to retrieve recent articles on the applications of digital tests for cognitive assessment and analyze them based on the methodology used. Four research questions were considered. Through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, following the application of inclusion and exclusion criteria, a total of 20 articles were finally reviewed. Some gaps and trends were identified regarding the types of digital applications and technologies used, the evaluated effects on cognitive domains, and the psychometric parameters and personal characteristics considered for validation. Computerized tests (similar to paper-and-pencil tests) and test batteries (on computers, tablets, or web platforms) were the predominant types of assessments. Initial studies with simulators, virtual environments, and daily-life activity games were also conducted. Diverse validation methods and psychometric properties were observed; however, there was a lack of evaluations that involved specific populations with diverse education levels, cultures, and degrees of technology acceptance. In addition, these evaluations should consider emotional and usability aspects.

Early Formalization of AI-tools Usage in Software Engineering in Europe: Study of 2023

This scientific article presents the results of a study focused on the current practices and future prospects of AI-tools usage, specifically large language models (LLMs), in software development (SD) processes within European IT companies. The Pan-European study covers 35 SD teams from all regions of Europe and consists of three sections: the first section explores the current adoption of AI-tools in software production, the second section addresses common challenges in LLMs implementation, and the third section provides a forecast of the tech future in AI-tools development for SD. The study reveals that AI-tools, particularly LLMs, have gained popularity and approbation in European IT companies for tasks related to software design and construction, coding, and software documentation. However, their usage for business and system analysis remains limited. Nevertheless, challenges such as resource constraints and organizational resistance are evident. The article also highlights the potential of AI-tools in the software development process, such as automating routine operations, speeding up work processes, and enhancing software product excellence. Moreover, the research examines the transformation of IT paradigms driven by AI-tools, leading to changes in the skill sets of software developers. Although the impact of LLMs on the software development industry is perceived as modest, experts anticipate significant changes in the next 10 years, including AI-tools integration into advanced IDEs, software project management systems, and product management tools. Ethical concerns about data ownership, information security and legal aspects of AI-tools usage are also discussed, with experts emphasizing the need for legal formalization and regulation in the AI domain. Overall, the study highlights the growing importance and potential of AI-tools in software development, as well as the need for careful consideration of challenges and ethical implications to fully leverage their benefits.

THE ROLE OF TECHNOLOGY IN IMPROVING TRANSPORT SAFETY: VEHICLE AND INFRASTRUCTURE SAFETY SYSTEMS

The growing number of traffic accidents and road deaths make traffic safety one of the most urgent problems of our time. Technological advancements in road transport and road infrastructure create a powerful potential for mitigating the risk of road accidents and ultimately saving lives. This study aims to analyse and evaluate the impact of technology on improving transportation safety with a focus on vehicle and infrastructure safety systems. The object of research is technologies aimed at preventing road accidents and reducing their consequences, while the subject of research is the role of these technologies in traffic safety. To achieve the goal, we used the following methods in this study. An analysis of domestic and foreign scientific sources was carried out, which made it possible to assess the state of modern research in the field of transport safety and identify the most significant aspects of the technologies usage to reduce the risk of road accidents. Active participation in scientific discussions and exchange of views with leading scientists in this field allowed us to gain additional insights and evaluate the current state of research in transport safety. The study encompassed several tasks, including analysing and assessing modern car safety technologies. The research analysed the impact of existing car safety technologies on traffic accident statistics, outlining their advantages and disadvantages. Additionally, the article explored the role of infrastructure, including intelligent traffic management and communication technologies, in enhancing overall traffic safety. We identified challenges, such as privacy and cyber security, related to the application of technology in transport security and outlined prospects for further development of this industry. The article highlights the importance of using technology to improve traffic safety. The findings allow us to determine that the development of car safety systems and infrastructure has the potential to reduce road accidents substantially. The recommendations from the study emphasise the need for further research in cyber security and standardisation of technologies to ensure their secure integration on roads. This approach to the technology implementation can help diminish the risk of road accidents and preserve human lives. Keywords: technologies, transport safety, transport technologies, cars, transport infrastructure.

Nurse Practitioner Regulatory Assessment: Transitioning From an Onsite to a Virtual Format.

The Nurse Practitioner Onsite Peer Review is an integral part of the British Columbia College of Nurses and Midwives Quality Assurance program. Traditionally an in-person assessment, Nurse Practitioner Onsite Peer Review involves a critical review of documentation by an experienced nurse practitioner assessor against regulatory standards and entry-level competencies. The onset of the COVID-19 pandemic and resulting environmental limitations required the college to rethink its approach to onsite reviews, resulting in the quality assurance program embarking on a pilot project to explore the feasibility of conducting reviews virtually. As there are many factors that can affect the transition of an onsite assessment to one that is virtual, it was important to consider the technical, workflow, and usability aspects in developing this new method of performance assessment. Therefore, including usability testing and a human factors approach to exploring this emerging method was vital to ensuring its success. In this article, we discuss our experience, including benefits, technical and administrative considerations, barriers, challenges, and lessons learned.