Collection Process Research Articles

간호대학 교수의 이직의도 극복 경험

Objectives This study is to understand the experience of nursing professors overcoming turnover intention and to clarify the meaning and structure of the experience. Specifically, it is to derive a general structure by grasping from their perspective how nursing professors overcome the turnover situation. Methods This study is a qualitative study applying Giorgi(2009)'s phenomenological research method. The study participants are professors of nursing department who have worked as full-time professors for more than 5 years, and a total of 5 people understood the purpose of this study and voluntarily agreed to participate. Data collection was collected through individual in-depth interviews and observations from March 1, 2024 to May 18, 2024. The number of interviews for each participant was 2-4, and interviews were conducted at a place the participant wanted, and the time required for one interview was about 1 hour. Purposeful sampling was performed to select participants. The collected data went through a cyclical repetitive process of data collection and analysis based on the phenomenological research method developed by Giorgi(2009). Results The general structure of the experience of nursing professors overcoming the intention to turnover derived from the results of this study was ‘extreme situation that is difficult to endure’, ‘confirm reality’, ‘promoting stability’, ‘growth’, and ‘construction of place’, and a total of 5 upper themes, 8 lower themes, and 40 semantic units were derived. Conclusions Their experience was a series of processes in which they began to consider turnover through physical and psychological difficulties, confusion, and conflict while starting a nursing professor, but they identified their reality and promoted stability to build a position as their growth took place. Problems related to turnover of nursing professors are not limited to individual professors' problems, but it is necessary to carefully recognize experiences and difficulties at various levels. However, since coping with turnover is carried out on a personal level, it is desirable to seek systematic and concrete solutions at the formal level. This study walks the overall understanding of nursing professors who have overcome turnover by looking at the nursing professor's experience of overcoming turnover intention and provides evidence to understand the experience of nursing professors who have overcome turnover intention from a phenomenological point of view based on this result. It aims to contribute to improving the quality of nursing education for nursing students by allowing nursing professors to focus on nursing education without changing jobs.

Effects of Innovative Technologies on Gender Disparity and the Future of Work

The Fourth Industrial Revolution (4IR) has prompted organizations to embrace digital transformation, demanding that employees possess ICT technical skills to boost productivity. In developing countries, a lack of ICT education exacerbates high youth unemployment, particularly among gender-disadvantaged individuals who struggle to secure jobs requiring digital literacy. This study investigates the factors contributing to the gender disparity of youth unemployment in South Africa. The study adopted the Technology Acceptance Theory to guide the study. The quantitative method was used for the data collection process using Google Forms to draft a questionnaire that was distributed to respondents online. The study results show the importance of ICT technical education to improve youth employment prospects and recommend that policymakers implement ICT skills development initiatives to mitigate youth unemployment.

Towards a Prosperous Indonesia: Building the Local Economy Through Food Estates in Sukodono, Gresik

Indonesia has a food estate program which is a program initiated to make Indonesia developed. Food estate program under the auspices of the government which aims to increase national food security. One of the food estate programs is established in Sukodono Village, because it has the potential to develop the local economy of the community. The aim of this qualitative research is to find out how the food estate program in Sukodono Village is run and how it impacts the community. This research uses a literature study approach which focuses on the data collection process through interviews, observation, documentation and literature study. The research results show that the Sukodono Village food estate program has made progress, but also has problems. Problems with the government, human resources (HR) which are still not fully supported, and problems with the distribution of agricultural products. The condition of other food estates is considered progress due to synchronization with the village green house program to improve economic welfare

Modified rat pup cerebrospinal fluid collection method

BackgroundCerebrospinal fluid (CSF) reflects biochemical changes in the brain due to its direct contact with brain interstitial fluid, making it a valuable tool for diagnosing and monitoring disease progression and therapeutic effectiveness in clinical practice. However, collecting CSF in animal studies, particularly from small animals like rat pups or mice, poses significant challenges. New methodAfter attempting various reported protocols, we encountered difficulties in consistently obtaining sufficient CSF from rat pups (P7-P42). Consequently, we modified these methods and developed a protocol with controllable and precise parameters for each step, enhancing reproducibility across different researchers. ResultsThe newly developed method enables rapid, single-operator, and reproducible CSF extraction while ensuring high-quality (the absorbance of the “quality control solution” at 415 nm < 0.05 AU, an indicator of oxyhemoglobin contamination for the collected CSF samples) and high-yield samples (33 ± 2.128 μL for P7 pups, 34.10 ± 2.747 μL for P8 pups, 36.67 ± 3.997 μL for P9 pups, 36.90 ± 1.946 μL for P10 pups, 35.11 ± 3.285 μL for P10 hypoxic-ischemic brain damage (HIBD) pups and 51.70 ± 5.256 μL for P42 pups, respectively). Comparison with existing methodsUnlike existing methods of CSF extraction in rat pups, our protocol has reproducible capillary pipette pulling parameters, controllable CSF quality indexes, and can be operated by a single person with high yield in a short time. ConclusionsThis paper provides a step-by-step comparison and discussion of the CSF collection process, establishing a method that enables a single operator to collect CSF rapidly, consistently, sufficiently, and with controlled quality.

Devastating effects of gender inequality on female students in South African higher education

Gender inequality is a concept of much relevance and is continuously gaining momentum. The diversification of different genders is pivotal to be able to address the effects of gender inequality. Globally, gender inequality has attracted a lot of interest and has huge effects on the social, academic and psychological. Although there is a nurturing environment for gender inequality, it is important to neutralize the playing fields for all genders to avoid negative effects on the victims of this phenomenon. The aim of this paper is to investigate the effects of gender inequality on South Africa’s higher education Students. It further seeks to challenge the perception contributing to gender inequality. Gender inequality is a universal problem affecting students throughout institutions of higher learning. The study used the qualitative research approach with exploratory research design adopted for the paper. The paper explored the effects of gender inequality on students from higher education institutions in South Africa. A sample of 15 students from institutions of higher learning who have been exposed to gender inequality was chosen for data collection process. A semi-structured face to face interviews was used during the data collection process with purposive sampling used to select participants to the study. The study used thematic content analysis to analyze data. The study applied feminist theoretical framework to understand the effects of gender inequality.

Student Potential in Developing Beach Recreational Sports Events to Improve Local Tourism

The purpose of this study was to determine the level of student capacity in organizing recreational sports events based on the results of the pre-test and post-test scores. This study used a survey method with a quantitative descriptive research design. Data analysis used a percentage technique based on norm-referenced assessments. The subjects in this study were 30 students of Recreational Business Management. The data collection process used a structured questionnaire. Based on the pre-test and post-test data, the results showed that the Sig. (2-tailed) value was 0.0000.05, so it can be concluded that there is a significant difference between the results of the Pre-Test and Post-Test. This is reinforced by the fact that before carrying out recreational sports activities, the Post-Test results showed a percentage of 41% (Moderate). After carrying out recreational sports activities, the percentage increased to 70% (High).

Transformasi Media dan Budaya Baru : Ketidakpatuhan Lalu Lintas Pengendara terhadap Penerapan ETLE (E-Tilang) di Kota Bengkulu

Abstract: This article describes the research findings behind the implementation of ETLE in motorists’ understanding and the causes of motorists' non-compliance with the implementation of CCTV-based ETLE (Electronic Traffic Law Enforcement) in Bengkulu City. The qualitative method uses non-participant observation techniques, interviews, triangulation and secondary data in the data collection process. Informants were determined by purposive sampling. The research data were analyzed using Robert K. Merton's functional structural theory. The results showed that the application of ETLE in the understanding of motorists in Bengkulu city is that this system is less effective. They argue that ETLE tends to be a form of excessive surveillance that is inappropriate in law enforcement. Motorists are also concerned about potential technical errors in the system that could result in unfairness or confusion in the administrative process. Meanwhile, the causes of motorist non-compliance with ETLE (Electronic Traffic Law Enforcement) in Bengkulu City are the low understanding of motorists towards ETLE and the culture of neglect of motorists in ignoring this ETLE system. The importance of awareness and knowledge of the use of CCTV-based ETLE (Electronic Traffic Law Enforcement) for motorists is the main focus of this topic. In addition, policymakers and law enforcement officials can take strategic steps to increase the use of CCTV-based ETLE.

Quality of life and post-traumatic stress disorder among elderly earthquake survivors: a focus on the February earthquake in Turkey.

On 6 February, 2023, Turkey experienced a disaster resulting from two major earthquakes. The elderly population stands out as one of the most vulnerable and least adaptable. This study aims to identify the quality of life (QOL) and post-traumatic stress disorder (PTSD) symptoms among elderly earthquake survivors in Turkey. This research was conducted between 1 October, 2023 and 15 December, 2023 as a cross-sectional design. During the data collection process, survey questions prepared by the researchers (29 questions) and the Elderly Quality of Life Scale (OPQOL-Bref) and the Impact of Events Scale (IES-R) were used. Three hundred and eighty-four elderly people participated in the study. PTSD was more common in those diagnosed with chronic diseases after the earthquake, in those who had a drug-free period after the earthquake, in those who smoked and quit smoking, and in those who started psychiatric medication after the earthquake. Post-traumatic stress was seen more frequently in those with low QOL scores and in those who had a longer period of not using medication after the earthquake. It was observed that QOL was better in married people, high school graduates, those with average income levels, those who did not have chronic diseases before and after the earthquake, those who did not have a drug-free period after the earthquake, those who were physically active, and those who did not use psychiatric medication after the earthquake. Chronic disease diagnosis post-earthquake, drug-free periods, smoking habits, and psychiatric medication usage were identified as influential factors in PTSD occurrence. Additionally, the study shed light on the profound effect of earthquake-related experiences, such as house damage, injuries, deaths in first-degree relatives, displacement, and changes in living conditions, on PTSD prevalence.

Infrared optoelectronics in twisted black phosphorus

Electrons and holes, fundamental charge carriers in semiconductors, dominate optical transitions and detection processes. Twisted van der Waals (vdW) heterostructures offer an effective approach to manipulate radiation, separation, and collection processes of electron-hole pairs by creating an atomically sharp interface. Here, we demonstrate that twisted interfaces in vdW layered black phosphorus (BP), an infrared semiconductor with highly anisotropic crystalline structure and properties, can significantly alter both recombination and separation processes of electron-hole pairs. On the one hand, the twisted interface breaks the symmetry of optical transition states resulting in infrared light emission of originally symmetry-forbidden optical states along the zigzag direction. On the other hand, spontaneous electronic polarization/bulk photovoltaic effect is generated at the twisted interface enabling effective separation of electron-hole pairs without external voltage bias. This is supported by first-principles calculations and repeated experiments at various twisted angles from 0 to 90°. Importantly, these phenomena can be observed in twisted heterostructures with thickness beyond two-dimensional. Our results suggest that the engineering of vdW twisted interfaces is an effective strategy for manipulating the optoelectronic properties of materials and constructing functional devices.

Life Cycle Assessment of Resource-Oriented Sanitation Based on Vacuum Toilet and Vacuum Kitchen Waste Shredder: A Case Study in Rural Southeastern China

The resource value of feces and kitchen waste has not been fully emphasized and utilized in rural sanitation management in China. In this paper, we propose a new ecological sanitation model with the core technology of “vacuum toilet and vacuum kitchen waste shredder—vacuum collection—resource treatment”, i.e., the modern home–farm cycle sanitation (MHFCS) system. We compared the environmental performance of the MHFCS system with that of a typical end-pipe treatment sanitation (EPTS) system (Johkasou—small onsite wastewater treatment system) in rural China using a life cycle assessment (LCA) approach. The results showed that the main source of environmental impacts of the MHFCS system was the collection and treatment process of domestic organic liquid wastes; the greenhouse gas emissions were 64.543 kg CO2eq·PE−1·year−1, and the MHFCS system indirectly gained a fertilizer substitution benefit of 65.960 kg CO2eq·PE−1·year−1 through nutrient element recycling. The MHFCS system has significant advantages in terms of net GHG emissions. Sensitivity analyses showed that resource consumption of vacuum facilities was a key factor for the MHFCS system. This system offers the potential to break down the barriers of the EPTS system in order to meet environmental sustainability and market demands for systemic diversity.

Polarization and hate speech based on fuzzy logic and transformers: the case of the 2023 Spanish general elections

ABSTRACT Affective polarization in the digital debate of the Spanish presidential election campaign (2023), following the sudden call of the Spanish president on July 23, was measured. Using transformers, topics were detected, and sentiment analysis techniques were applied in the political debate during the elections to measure the emotional valence of the debate. The topics that dominate most of the debate are Candidates (n1 = 17170) and Opposition (n3 = 15327). These topics also show the highest typical polarization deviances. Based on affective polarization, a polarization measure (JDJ) grounded in the fuzzy sets was applied. The topic activism has the highest polarization value, while the topic of voting has the lowest. This analysis highlights a dichotomy that defines the Spanish political reality: the positive image of conventional political participation in the face of the rejection of collective action processes.

The Relationship between the Technical Capabilities of Revenue Management and Firm Performance

The study investigates the relationship between revenue management technical capabilities and firm performance, focusing on the hotel industry. It formulates hypotheses regarding the impact of market segmentation, demand forecasting, capacity allocation, and information technology on firm and marketing performance. The research employs a questionnaire-based data collection process to gather information from hotel managers, and the study's scales are adapted and validated to ensure reliability. The findings reveal significant relationships between market segmentation and financial performance, providing insights for hotels to optimize their operations and enhance their competitive edge. However, the study acknowledges limitations such as sample size constraints and the cross-sectional nature of the data, Proposing future research directions to overcome these limitations and investigate other factors affecting financial and marketing performance in the hotel sector.

Communication Analysis in Bullying Prevention in Islamic Boarding Schools in Pasuruan Regency

This study aims to analyze the communication between students and administrators of Annur Assalafy Islamic Boarding School in an effort to prevent bullying. This study uses a descriptive qualitative approach with a phenomenological method and relies on interviews and documentation as data collection techniques. Data analysis was carried out through the process of collecting, reducing, presenting data, and drawing conclusions. The results of the study showed that there was one-way and two-way communication, with interactions such as ngaji, jagongan, and mayoran reflecting horizontal and two-way communication. Vertical communication between administrators and students and horizontal communication between students complement each other in creating a safe and supportive Islamic boarding school environment. This communication is effective in reducing bullying cases and strengthening solidarity between students. Personality factors were found to be the main cause of bullying.

Machine Learning for Upper Limb Flexion Movement Classification

Introduction: This paper introduces the development and validation of a Machine Learning (ML) program aimed at discerning smooth and jittery arm movements during flexion/extension exercises. Objective: The study compares the efficacy of three classification algorithms—K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Logistic Regression—in differentiating flexion/extension movements with and without added weight. Method: Using a quasi-experimental design, participants voluntarily performed the exercise under two conditions: with and without a 5-kilogram dumbbell. Meticulous frame-by-frame extraction of movement parameters informed the data collection process. Results: Biomechanical analysis identified key features (minAngle, coefTrajectory, maxJerk, avgAcceleration, and frames) relevant for algorithm training. Post-normalization, KNN, Logistic Regression, and SVM demonstrated robust validation performance through metrics and confusion matrices. Detection of a userdependent data leak prompted a user-specific validation approach. Conclusion: This research amalgamates biomechanics and ML, yielding insights into algorithmic performance for detecting weighted exercises. Robust validation is crucial for ensuring the generalizability of classification models in real-world scenarios.

The characteristics of high-risk HPV-negative cervical cancer: a systematic review and meta-analysis.

In order to comprehensive understanding of the characteristics of high-risk HPV-negative cervical cancer and aiming to provide certain evidence in the diagnosis and treatment of this kind of disease, the clinical and pathological characteristics of high-risk HPV-negative (hr-HPV-negative) cervical cancer was evaluated through systematic review and meta-analysis. We employed a systematic search strategy incorporating both MeSH terms and free words across multiple databases including PubMed, Embase, Cochrane Library, Web of Science, CNKI and Wanfang. The strategy was specifically designed to identify articles investigating risk factors or clinical characteristics of hr-HPV-negative cervical cancer. Our database search spanned from their inception until October 2023. The literature selection and data collection processes were guided by predetermined inclusion and exclusion criteria. Each included research was independently evaluated by two reviewers using the Newcastle-Ottawa Scale (NOS) and a meta-analysis was conducted utilizing RevMan5.4. In total, nine studies published between 2013 and 2020 were included. The risk of lymph node metastasis was notably higher in hr-HPV-negative cervical cancer patients compared to hr-HPV-positive counterparts [RR=1.99, 95%CI (1.46-2.72), P<0.0001]. It was found that clinical staging of Ib2 or higher grade was significantly increased in hr-HPV-negative cervical cancer patients, as reported by seven studies [RR=1.42, 95%CI (1.15-1.77), P=0.0001]. Non-squamous carcinoma incidence, reported in seven studies, was significantly higher in hr-HPV-negative patients [RR=2.56, 95%CI (1.63-4.01), P=0.001]. Adenocarcinoma incidence was also significantly higher in hr-HPV-negative cervical cancer patients [RR=2.36, 95%CI (1.44-3.89), P=0.005]. Cervical cancer patients not infected by hr-HPV exhibited increased rates of lymph node metastasis, adenocarcinoma, and non-squamous carcinoma. And they were often diagnosed at more advanced stages. These variables suggest that hr-HPV-negative cervical cancer patients presented with a more severe health status at the time of their initial cancer diagnosis.

Reshaping Knowledge Flow: The Impact of Ecollaboration Platforms in It-Project Knowledge Transfer

This research embarks on an in-depth exploration of the transformative dynamics initiated by eCollaboration platforms in the field of IT project management, with a particular focus on knowledge transfer processes. The study delves into the intricacies of knowledge transfer, encompassing both its intra-project dynamics and its transfer from projects to project-based organisations (PBOs). The overall aim is to unravel the impact of eCollaboration platforms on this complex process and to provide insights into the evolving landscape of knowledge management in the context of IT projects. Methodologically, the study adopts a qualitative content analysis approach. Recognising the paradigmatic aspects that might limit insights for proponents of the quantitative paradigm, the chosen approach facilitates an in-depth exploration of the multifaceted nature of knowledge transfer within IT project management. The study involves a cohort of eleven project managers in Austria, with meticulous interviews conducted and recorded to ensure a comprehensive data collection process. The subsequent data analysis involves a systematic evaluation of the accumulated information derived from these expert interviews. This comprehensive analysis integrates both quantitative and qualitative components, providing a nuanced understanding of how eCollaboration platforms influence knowledge transfer within the complex landscape of IT projects. The research findings provide valuable insights into the evolving dynamics of knowledge transfer in the context of IT project management. By examining the impact of eCollaboration platforms on this process, the study contributes to a deeper understanding of the challenges and opportunities that arise in the area of knowledge management in IT projects. These findings have practical implications for project managers and organisations seeking to optimise knowledge transfer processes within their projects and project-based organisations. Ultimately, this research serves as a timely exploration of the transformative potential of eCollaboration platforms to reshape the flow of knowledge within IT project management. It paves the way for improved collaboration and knowledge sharing in the digital age and offers a critical perspective on the evolving landscape of IT project management practices.

The implementation of augmented reality to develop early childhood students’ gross motoric skill: a systematic review

The development of technology has revolutionized the world of education. Augmented Reality (AR) is one of the media that is starting to be developed for the learning process. AR has become a potential tool to improve the learning process among children. This study aims to systematically review previous research related to the application of AR to develop students' gross motor skills in early childhood education. The data collection process was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method which was adapted in this study. Identification results from five databases (SCOPUS, Pubmed, OpenAlex, Google Scholar, and Crossref) obtained 2807 publication documents. Bibliometric analysis was conducted on 1938 eligible articles, and 10 articles were selected as a literature review. The results of the bibliometric analysis showed less significant results on AR research in developing early childhood motor skills. However, overall AR research in early childhood education has experienced significant development. More attention and focus is needed regarding the development of early childhood motor skills research through the integration of AR technology. Thus, AR research in early childhood education is not limited to cognitive, but also focuses on motor skills as well.

The VECM implementation for measuring the impact of monetary variables on Indonesia Property Prices Index

The basic human need for housing makes property investment safer than other sectors because demand tends to be stable despite changing economic conditions. The decision to invest is influenced by various aspects, including economic variables, including GDP, property credit growth, non-performing loans (NPLs), interest rates, exchange rates, and money supply, which are then examined for their influence on the Residential Property Price Index (RPPI) in Indonesia through this research using a Vector Error Correction Model (VECM) with quarterly data from 2003 to 2022. The findings show that GDP, interest rates, and money supply have a significant long-term impact on the RPPI. In the short-term, GDP and property credit growth have a negative impact on RPPI, while NPL and exchange rate do not. Causality tests indicate a bidirectional relationship between NPL and GDP with RPPI, with probability values exceeding 0.05. This study provides valuable insights into the monetary factors affecting residential property prices and suggestions for future research. AcknowledgmentThe authors gratefully acknowledge Ahmad Dahlan University for the support and facilities provided in conducting this research. They also greatly appreciate the academic resources that supported the data collection process and careful analysis of our findings. Besides, the authors express their gratitude to Bank Indonesia and Badan Pusat Statistik for their invaluable contribution to the data used in this research.

Multimodal Fusion Anomaly Detection Model for Agricultural Wireless Sensors

ABSTRACTAgricultural Internet of Things has become one of the most important data sources of agricultural big data. However, the wireless sensors equipped with agricultural Internet of Things is affected by many factors, and anomalous data inevitably exists during the data collection process. The existence of anomalous data leads to the deterioration of the agricultural data quality, which hinders the efficient development of agricultural data analysis. In order to detect anomalous data accurately for agricultural wireless sensors, in this article, we propose an anomaly detection model that combines multimodal fusion and error reconstruction. The model first adds Gaussian noise to the input sequence and converts it into standard time series and image data. Subsequently, it is processed by different modal encoders and fuses the image and sequence modal data using Temporal Cross‐modal Attention module to enhance the perception of anomalous modal information. Finally, the fused data is reconstructed, and anomalous data are identified by the image and sequence decoders. Comparison experiments with several baselines prove the validity of the model proposed in this article, ablation experiments prove the necessity of the key modules in the model, and multiple sets of experiments are also designed to discuss the effects of hyperparameters.

WORKERS JOB SATISFACTION IN TEXTILE FACTORY: BIBLIOMETRIC ANALYSIS

Textile industry represents one of the most competitive industries. Consequently, the management tend to create pressures to their workers to pace with the high productivity level. This constant pressure given to the workers may possibly affect their job satisfaction. Hence, this study focuses on the bibliometric analysis in mapping the trend, conceptual structure, and characteristic of job satisfaction of textile factory workers. The data collection process results in 147 papers out of the total of 241 extracted papers. According to the bibliometric analysis, research in this field is mainly led by the USA and France. The co-occurrence analysis shows Four major theme: Study on job satisfaction, worker’s health assessment, cultural influence on textile factory workers, and review on absenteeism. The results indicate that workers were more concerned about the security of their current position rather than overall employment security, and this factor affected their job satisfaction and well-being.