User Skills Research Articles

Analisis Tingkat Kepuasan Pengguna Aplikasi Pengelolan Persediaan BMD di SMK Negeri 17 Jakarta Menggunakan Metode Service Quality

This study aims to analyze user satisfaction with the inventory management application for Regional-Owned Assets (BMD) at SMK Negeri 17 Jakarta using the SERVQUAL method. The application was implemented to enhance asset management efficiency, but challenges such as data inaccuracies and limited user skills hinder its effectiveness. The SERVQUAL method evaluates five service quality dimensions: tangibles, reliability, responsiveness, assurance, and empathy, by measuring the gap between user expectations and perceptions. The findings reveal that all service quality dimensions have negative GAP values, particularly in reliability and tangibles, indicating that the application has not fully met user expectations. Therefore, improvements in system reliability, application design, and technical training are essential to optimize the use of the application for effective asset management in the school.

Empowering Medical Students to Address Patient-Initiated Mistreatment at the Transition to Residency: An Education Quality Improvement Study.

Mistreatment from patients is prevalent and has far-reaching negative consequences. To develop a practice-based curriculum on patient-initiated mistreatment and examine participant perceptions before and after the curriculum. Single medical school in the United States. 306 senior medical students from classes 2022 and 2023. A single patient-initiated mistreatment session delivered during specialty-specific residency preparation courses (RPCs) featuring a literature discussion, a response framework, and patient-actor skills practice. Between February 2022 and October 2023, 22 sessions occurred. Electronic surveys were delivered before, following, and approximately eight months after each session. A total of 257 (84.0%) and 174 (56.9%) participants completed pre- and post-session surveys, respectively. Significant increases in mean scores were noted for confidence in recognizing mistreatment (pre-session 4.25, post-session 4.68; p < 0.001) and comfort in addressing mistreatment personally (pre-session 2.86, post-session 4.30; p < 0.001) and as a bystander (pre-session 2.98, post-session 4.27; p < 0.001). In the follow-up survey, participants noted that the session was useful in preparing them for residency. A novel patient-initiated mistreatment curriculum empowered students, resulting in enhanced confidence in responding and sustained skill usage. Medical schools may consider including this training for all graduating students.

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer

Job recommendation aims to provide potential talents with suitable job descriptions (JDs) consistent with their career trajectory, which plays an essential role in proactive talent recruitment. In real-world management scenarios, the available JD-user records always consist of JDs, user profiles, and click data, in which the user profiles are typically summarized as the user's skill distribution for privacy reasons. Although existing sophisticated recommendation methods can be directly employed, effective recommendation still has challenges considering the information deficit of JD itself and the natural heterogeneous gap between JD and user profile. To address these challenges, we proposed a novel skill-aware recommendation model based on the designed semantic-enhanced Transformer to parse JDs and complete personalized job recommendation. Specifically, we first model the relative items of each JD and then adopt an encoder with the local-global attention mechanism to better mine the intra-job and inter-job dependencies from JD tuples. Moreover, we adopt a two-stage learning strategy for skill-aware recommendation, in which we utilize the skill distribution to guide JD representation learning in the recall stage, and then combine the user profiles for final prediction in the ranking stage. Consequently, we can embed rich contextual semantic representations for learning JDs, while skill-aware recommendation provides effective JD-user joint representation for click-through rate (CTR) prediction. To validate the superior performance of our method for job recommendation, we present a thorough empirical analysis of large-scale real-world and public datasets to demonstrate its effectiveness and interpretability.

Hubungan Kecanduan Game Online dengan Keterampilan Sosial Siswa

This research is motivated by the low social skills of students caused by online game addiction. Ideally, the lower the addiction to online games in students who use online games, the higher the social skills. However, it can still be found that students experience online game addiction, which affects their social skills in interacting with others. This study aims to determine the relationship between online game addiction and the social skills of students who use online games. This research uses quantitative methods with correlational research types. The sample in this study was 65 students selected using purposive sampling technique. The data were processed using descriptive analysis techniques and Pearson product moment correlation analysis. The results showed that students' online game addiction was in the high category with a percentage (38.5%), the social skills of online game users were in the low category with a percentage (35.4%) and there was a significant and negative relationship between online game addiction and social skills in online game users with a correlation value of r count of -0.348 with a significance level of &lt;0.04 at a weak level of relationship.

Translation of Earthliness: An Exploration of Translation Dislocation of Folk Language in Chin P'ing Mei in Late Ming Dynasty within the Framework of Aesthetic Reception

As the first full-lenght satiric novel, Jin Ping Mei (Chin P'ing Mei), written by Lanling Xiaoxiao Sheng at the end of the Ming Dynasty, elaborates the social and worldly affairs comprehensively through vivid language and skillful usage of literary devices. Due to the richness of the folk language for the language forms, and the differences and great colloquial and regional characteristics to the Western readers in the geographical and time facets, for the purpose of reception in the target culture, the translator gives adjustment or modification to folk languages forms like dialect, slang, idiom, and proverbs, etc., which engenders certain translation dislocation to some extent. Through qualitative and comparative analyses, this paper aims to offer a preliminary exploration of the basic paradigm, causes, and construction process of the translation dislocation of the folk language in those two English translation versions of Jin Ping Mei from the four dimensions of readers' expectation horizons, aesthetic distance, integration of horizons, and the construction of respond-inviting structures under the perspective of aesthetic reception theory, so as to provide an avenue for English readers to delve into the peculiar translation dislocation of the folk language in the translation of Chinese classical works.

Children with Auditory Brainstem Implants: Language Proficiency and Reading Comprehension Process

Introduction: Auditory performance and language proficiency in young children who utilize auditory brainstem implants (ABIs) throughout the first 3 years of life are difficult to predict. ABI users have challenges as a result of delays in language proficiency and the acquisition of reading comprehension, even if ABI technology offers auditory experiences that enhance spoken language development. The aim of this study was to evaluate about the impact of language proficiency on reading comprehension skills in children with ABI. Method: In this study, 20 children with ABI were evaluated for their reading comprehension abilities and language proficiency using an Informal Reading Inventory, Test of Early Language Development-Third Edition (TELD-3), Categories of Auditory Performance-II (CAP-II), and Speech Intelligibility Rating (SIR). Three distinct aspects of reading comprehension were assessed and analyzed to provide a composite score for reading comprehension abilities. TELD-3, which measures receptive and expressive language proficiency, was presented through spoken language. Results: Studies have shown that there was a relationship between language proficiency and reading comprehension in children with ABI. In the present study, it was determined that the total scores of reading comprehension skills of the children who had poor language proficiency and enrolled in the school for the deaf were also low. The children use short, basic sentences, often repeat words and phrases, and have a restricted vocabulary. In addition, the children had difficulty reading characters and detailed paragraphs and could not remember events in a logical order. Conclusion: Children with ABI may potentially have complicated reading comprehension abilities due to lack of access to all the speech formants needed to develop spoken language. In addition, variables affecting the reading levels of children with ABI include factors such as age at implantation, duration of implant use, presence of additional disability, communication model, and access to auditory rehabilitation. The reading comprehension skills of ABI users were evaluated in this study for the first time in the literature and may constitute a starting point for the examination of variables affecting reading comprehension in this area.

Relevansi Refleksi Teologi bagi Penguatan Literasi Pendidikan Keagamaan Katolik di Era 5.0

In this digital era, humans are very dependent on technology, especially gadgets that are very popular among various groups. The digital era has provided many conveniences. This article uses a library research method by utilizing articles, journals, books, and internet access as sources. This study aims to use the application to make it easier for users to use applications that can help users to design various types of material online from greeting cards, posters, brochures, infographics to presentation media. application is not complicated because it has provided various sizes to templates for the designs that users want, and can be adapted to the purpose of making designs. The conclusions obtained in this research are that the application is one of the media that can support the learning process visually and train visual literacy skills for users in this digital era.

Pemanfaatan Aplikasi Canva Sebagai Media Pembelajaran Untuk Meningkatkan Hasil Belajar Peserta Didik Dalam Pak Dan Bp Pada Topik Sepuluh Perintah Allah Sebagai Pedoman Hidup di Kelas IV di SD Swasta Santo Nicholas

In this digital era, humans are very dependent on technology, especially gadgets that are very popular among various groups. The digital era has provided many conveniences. This article uses a library research method by utilizing articles, journals, books, and internet access as sources. This study aims to use the Canva application to make it easier for users to use applications that can help users to design various types of material online from greeting cards, posters, brochures, infographics to presentation media. Canva is not complicated because it has provided various sizes to templates for the designs that users want, and can be adapted to the purpose of making designs. The conclusions obtained in this research are that the Canva application is one of the media that can support the learning process visually and train visual literacy skills for users in this digital era.

What is known about suicide prevention gatekeeper training and directions for future research.

Suicide prevention training that teaches skills to support a person experiencing thoughts of suicide and create community support networks, often termed, "gatekeeper" training (GKT), has been a longstanding pillar of international, national, and local suicide prevention efforts. GKT aims to improve knowledge, attitudes, and self-efficacy in identifying individuals at risk for suicide, hopefully enhancing one's willingness and ability to intervene with a person experiencing a crisis. However, little is known about GKT's effectiveness in creating the essential behavior change (e.g., increase in intervening behaviors) it sets out to accomplish. This paper explores the history and theoretical background of GKT, reviews the current state of research on GKT, and provides framing and recommendations for next steps to advance research and practice around GKT. Through positioning GKT appropriately within the field of suicide prevention, we argue that the field of suicide prevention needs more rigorous research around GKT that includes long-term follow-up data on usage of skills learned during training, data on outcomes of those who have received an intervention from a trained gatekeeper, and the integration of implementation science to further our understanding of which trainings are appropriate for which helpers.

The Adoption and Impact of Climate-Smart Water Management Technologies in Smallholder Farming Systems of Sub-Saharan Africa: A Systematic Literature Review

Agriculture plays a significant role in global water consumption, accounting for approximately 70% of the world’s freshwater usage. This makes this sector a critical factor in the depletion of water resources. Accordingly, this paper explores potential mitigatory impacts of climate-smart water management (CSWM) technologies in sub-Saharan Africa. About 70% of the population in sub-Saharan Africa is dependent on agriculture for sustaining their livelihoods. This is despite the low agricultural output in smallholder farming systems (SFS) due to water scarcity. This has spurred several attempts to promote the adoption of climate-smart agriculture (CSA) to raise agricultural outputs and improve smallholder farmers’ livelihoods. However, there has not been a comprehensive analysis of data categorised by various aspects of climate-smart water management technologies. In this systematic literature review, climate-smart water management technologies in sub-Saharan Africa’s agricultural sector were identified and analysed to determine strategies that could enhance their adoption and impact. To this end, academic articles reporting on the adoption of climate-smart water management technologies in databases were reviewed. Four significant literature databases were used. These were limited to Springer Link, ScienceDirect, MDPI, Wiley Online, and Google Scholar. The findings demonstrate that rainwater harvesting and micro-irrigation are the primary climate-smart water management technologies used by smallholder farmers. The literature review shows that adoption of CSWM practices is constrained by inadequate technological infrastructure, financial implications, unsuitable policies, and low user skills, particularly. It is therefore recommended that government agricultural departments and relevant advocates of CSA should incentivise and subsidise smallholder farmers to encourage CSWM technology adoption. This can be achieved through the implementation of suitable policies directed at technological infrastructure development, financial support for adoption, and technical skills training.

E-commerce applications: A study of customers’ behavioral intentions and behaviors of using these applications towards online shopping

This study uses the UTAUT2 (Unified theory of acceptance and use of technology) model as well as adding other factors such as Platform Usability, User Autonomy to determine the behavioral intention and behavior of online shoppers using e-commerce applications (ECAs) in Vietnam. Using the analysis results from structural equation modeling, it was shown that Social Influence, Use Proficiency, Hedonic Motivation, User Skill, Effort Expectancy positively affect Behavioral Intention. At the same time, Behavioral Intention is negatively affected by Performance Expectancy. Behavioral Intention and Facilitating Conditions are two factors that positively affect Use Behavior. Besides, User Autonomy negatively affects Use Behavior. The research results are an important basis for ECAs providers, managers and stakeholders to apply in assessing the behavioral intentions and behaviors of online shopping customers using ECAs in Vietnam to promote the use of ECAs in online shopping.

Development of a Cost-Effective and High-Fidelity Gel Model for Peripheral Ultrasound-Guided Intravenous Access Training.

Introduction Simulation tools are crucial in medical educationbut current commercial models for ultrasound-guided intravenous (IV) access lack complexity and can be prohibitively expensive. This article proposes a cost-effective gel model system that replicates realistic vein and artery interactions, addressing the limitations of traditional models. An advanced gelatin model was constructed that incorporates intricate vein and artery configurations and enhances medical training by providing a more authentic experience. Patient testing will further validate its efficacy, promising improved accessibility for skill refinement in resource-constrained environments. Methods In a controlled study at theKirk Kerkorian School of Medicine at the University of Nevada, Las Vegas, 12 medical students with limited ultrasound experience participated in a workshop using novel and Blue Phantom™ models for ultrasound-guided IV catheter placement. The advanced gelatin model, created with Ziplock™ Tupperware®, ultrasonography gel-filled balloons, and gelatin, proved more effective, as assessed by participants' post-training comfort levels. The comparison of participants' pre- and post-training comfort levels with the models was the primary study objective. Participants were asked to complete a confidence survey based on a five-point Likert scale, and after using both models, this survey was re-administered to assess the participant's level of comfort after model use. The statistical analysis comparison of post-training survey data to the pre-training survey data was accomplished using SPSS version 29 (IBM Corp, Armonk, NY), where a paired t-test was set at a significance threshold of p <0.05. Results Analysis of data from both commercially made and advanced ultrasound-guided IV models using a paired t-test revealed a significant advantage for the advanced model. Participants, despite limited ultrasound experience, reported feeling over 4 points higher in skill confidence (p = 0.004) with the advanced model. Its popularity stems from diverse vasculature modeling, proving effective for both experienced practitioners and inexperienced individuals, maintaining value as user skill levels increase. Conclusion This study proposes an advanced model for ultrasound-guided peripheral IV access training, demonstrating a statistically significant increase in confidence levels. Despite limitations such as small sample size and single-site participation, the advanced model's adaptability and cost-effectiveness make it a strong contender for replacing current commercial models, potentially enhancing proficiency and confidence while reducing costs.

Critical Success Factors for the Widespread Adoption of Virtual Alternative Dispute Resolution (VADR) in the Construction Industry: A Structural Equation Modeling Analysis

This study explores the increasing adoption of virtual alternative dispute resolution (VADR) in the construction industry, enhancing efficiency and accessibility in dispute resolution. VADR is crucial for streamlining processes and reducing participation barriers. The study aims to investigate the critical success factors (CSFs) influencing the adoption of VADR in the construction sector. Given the rising importance of VADR technologies, understanding the key factors driving their acceptance is crucial. The background highlights the growing reliance on innovative technologies to boost operational efficiency and decision-making processes. The data for the study were collected using a cross-sectional design with online structured survey questionnaire (N = 97) from diversified construction industries. Using Smart PLS 4, structural equation modeling (SEM) was employed to test the validity, reliability, and proposed hypotheses of the study. The results showed that cost factors had the greatest impact on VADR acceptance, followed by user competence and training, procedural adaptability, and technological infrastructure. Logistical assistance and legal frameworks also had a considerable favorable impact. However, stakeholder buy-in had no significant influence on VADR implementation. The implications indicate that economic feasibility, logistical readiness, flexible procedures, supportive legal contexts, and user skills are significant factors for successful VADR integration. Governments and organizations should deploy VADR technologies to encourage innovation and operational improvement in the construction industry.

A Reconfigurable Proangiogenic Hydrogel Patch Enabling Minimally Invasive Drug Delivery.

Hydrogel is widely used for the sustained delivery of bioactive molecules that can treat various injuries, diseases, and tissue defects. However, inserting hydrogel implants without disrupting their functionality and microstructure often requires a large incision, leading to potential complications, such as infection, scarring, and pain. The gel implant is often manually rolled and inserted through a catheter for a minimally invasive delivery. However, success heavily depends on the user's skills, which can inadvertently damage the implant. To address this issue, we developed a reconfigurable hydrogel patch that can self-fold into a small tube and unfold spontaneously after implantation through a catheter. The hydrogel path was assembled by layering a drug-releasing poly(ethylene glycol) diacrylate (PEGDA) hydrogel sheet onto a PEGDA and polyethylenimine (PEI) hydrogel sheet, which rapidly swells and degrades homogeneously at controlled rates. The dynamics of the self-folding and unfolding process could be controlled by differences in the expansion ratio and elastic modulus between the two gel layers according to a mathematical model that closely matched experimental results. The unfolding process triggered a sustained release of the protein cargo. Specifically, the reconfigurable gel loaded with angiopoietin 1 significantly enhanced neovascularization, nearly doubling the vascular density compared to the control group following implantation through a tube with 15% smaller diameter than the original shape of the gel patch. This gel biopatch will be broadly useful for the minimally invasive delivery of a wide array of therapeutic molecules, potentially enhancing therapeutic outcomes.

Internationally qualified nurses' perspectives on transitioning specialty skills within Australia: A content analysis.

To explore internationally qualified nurses' perceptions regarding the facilitators and barriers to specialty skill transfer in Australia. The study utilised a descriptive research design with a cross-sectional survey. Data were collected from July to September 2022. A self-designed survey was distributed through social media, snowballing and nursing professional organisations. The survey included six open-ended questions which were analysed using thematic content analysis. Sixty-three participants completed the open-ended questions in the survey. The findings identified a range of facilitators (support, previous experience, self-agency) and barriers (systems barriers, bias/discrimination, being undervalued, lack of trust) to skill transition. Recognising and addressing facilitators and barriers, coupled with creating customised pathways for specialty skill integration, are essential for optimising the utilisation of specialised skills in internationally qualified nurses. This study aims to explore the barriers and facilitators involved in maximising skill utilisation among internationally qualified nurses in Australia. Identifying these barriers and facilitators is essential for improving patient care, as it will guide the development of strategies for safe nursing service delivery and the optimisation of skill usage. These findings hold significant implications for policymakers, healthcare organisations and nurses, providing valuable insights into how to address these obstacles and capitalise on the factors that make skill transfer smoother and more effective. Sixty-three internationally qualified nurses shared their experiences and opinions.

Analysis of Educational Technology Approaches in Supporting Health Services at College Clinics

Educational technology is a growing area of interest, including healthcare management in higher education. This study aims to evaluate the role of educational technology in improving health service management in college clinics, with a focus on the Universitas Negeri Manado Clinic. The research method used was a qualitative approach with data collection techniques including in-depth interviews, direct observation, and documentation. Data were analyzed using the triangulation method to identify key themes and in-depth interpretation of the influence of educational technology on health services. The results showed that the implementation of educational technology in college clinics can improve the efficiency and effectiveness of health services. Information technologies such as electronic medical record management systems and e-learning platforms have helped to improve the process of planning, implementing and evaluating health services. However, there are challenges in terms of system integration and additional training needs for staff. This study found that while educational technology provides significant benefits, its successful implementation is highly dependent on infrastructure readiness and user skills. Suggestions for improvement include increasing technology training for staff, updating hardware and software, and strengthening evaluation procedures to ensure that technology can be optimally used to improve the quality of health services.

Kruskal Wallis and mRMR Feature Selection based Online Signature Verification System using Multiple SVM and KNN

Signature verification is a very important research area. Signature has been widely accepted as a person authentication method for centuries. It is mostly used in financial transactions, document authentication and agreements. It is more susceptible to being forged than any other biometrics. Online signature verification is used in real-time applications like e-commerce, online resource access, online financial transactions, physical access into a restricted area and many more. In order to achieve high efficiency in online signature verification systems, feature extraction and feature selection play a significant role. A suitable signature verification system is needed to prevent forgery and accept the genuine signer. We have extracted 30 global features from all 40 signers for verification. Here, k fold cross-validation technique is used to enhance the model's performance on unseen data. User-specific feature selection and ranking are done using Kruskal Wallis and Minimum Redundancy Maximum Relevance (mRMR) algorithm to hunt which performs better in our case. Kruskal-Wallis method tests if two or more classes have an equal median and gives the value of P based on which discriminative features are selected, whereas the mRMR algorithm ranks the whole feature set according to its importance. It evaluates the relevance of a feature and penalizes redundancy. Finally, multiple SVM and KNN classifiers are trained and tested with various selected features using Kruskal Wallis and mRMR to determine which combination performs best for the online signature verification system. Our model is trained, validated and tested on the SVC 2004 Task 1 database, which consists of skill forgery signatures. Here, one to one verification is done using each user's genuine and skill forgery signatures, which is the hardest to detect. Best average testing accuracy achieved in our case is 90.25% using Weighted KNN and Kruskal Wallis selected 15 features.

Identifying enablers for the successful deployment of prescriptive analytics – a multiple case study

Purpose Although it is commonly agreed that prescriptive analytics can benefit organizations by enabling better decision-making, the deployment of prescriptive analytics tools can be challenging. Previous studies have primarily focused on methodological issues rather than the organizational deployment of analytics. However, successful deployment is key to achieving the intended benefits of prescriptive analytics tools. Therefore, this study aims to identify the enablers of successful deployment of prescriptive analytics. Design/methodology/approach The authors examine the enablers for the successful deployment of prescriptive analytics through five organizational case studies. To provide a comprehensive view of the deployment process, each case includes interviews with users, managers and top management. Findings The findings suggest the key enablers for successful analytics deployment are strong leadership and management support, sufficient resources, user participation in development and a common dialogue between users, managers and top management. However, contrary to the existing literature, the authors found little evidence of external pressures to develop and deploy analytics. Importantly, the success of deployment in each case was related to the similarity with which different actors within the organization viewed the deployment process. Furthermore, end users tended to highlight user participation, skills and training, whereas managers and top management placed greater emphasis on the importance of organizational changes. Originality/value The results will help practitioners ensure that key enablers are in place to increase the likelihood of the successful deployment of prescriptive analytics.

Digital Literacy, Skills, and Security: Impact on Digital Leadership in Higher Education

This research examines the influence of digital literacy and social media usage skills on digital leadership in higher education and the moderating role of digital security and antivirus software. This research uses the path analysis method with Smart PLS 4.0 software. They were conducted from January to February 2024, involving 100 management program students using the saturated sampling method. The research results show that digital literacy and social media usage skills positively and significantly affect digital leadership. Digital security also has a positive impact on digital leadership. However, the hypothesis regarding antivirus and security systems as moderating variables was rejected, indicating that they did not increase the influence of digital security or social media skills on digital leadership. This research contributes to developing university curricula and leadership programs by integrating aspects of digital security. The model successfully identified significant influences on digital leadership with high reliability and validity. The rejection of some moderation hypotheses suggests that further research is needed to understand the dynamics between these variables, paving the way for refining the model and exploring other influencing factors.

Supporting Inclusivity Through an Automatic Transcription Application to Improve Hearing Skills for the Deaf

Inclusivity is the principle that underlies a just and equal society for all individuals, including students or pupils who have hearing disabilities such as the deaf. In an effort to realize inclusivity, technological developments have opened the door to solutions that can improve the quality of life for deaf users. One of the main challenges faced by deaf users is difficulty in understanding and communicating with the outside world through hearing. This article discusses how automatic transcription applications can serve as powerful tools in supporting inclusiveness by improving the listening skills of deaf users. An automatic transcription application is software that is capable of converting spoken conversations into text in real-time. This has the potential to enable deaf users to access previously difficult-to-reach information. The use of automatic transcription applications can provide significant benefits for deaf users. Firstly, it allows pupils and students to follow conversations and presentations better, improving their listening skills. Second, users can participate more actively in various social and educational activities, feeling more confident in interacting with friends, colleagues and instructors. Apart from that, the use of this application can also help in the development of their spoken language, because students can view the transcribed text while listening to the conversation. However, there are several challenges that need to be overcome in implementing this automatic transcription application. These include accuracy of transcription, availability of appropriate hardware and software, and community understanding of the needs and rights of deaf users. Therefore, collaboration between technology developers, the deaf community, and other interested parties is important in ensuring that automated transcription applications can be used effectively to increase inclusivity for deaf users.