Contribution Of Research Research Articles

Climate Research Contributions in Occupational Safety

Objective: This work aimed to identify the additional contributions of the Climate Survey to the Safety area of some companies. Theoretical reference: As a theoretical framework, different questionnaire models were used to research the perceptions of the workforce. Method: A case study was used as a method, whose data collection instrument was a climate questionnaire, constructed from bibliographic research in the ISI Web of Science and Scopus databases, applied to a universe of 455 workers of an offshore organization. Results and Conclusion: Despite being strongly linked to the company culture, the Climate Survey revealed factors underlying risk behaviors, the scope and systemic nature of failures, proving to be an effective diagnostic tool for safety management. Search Implications: This study found that cost reduction policies and focus on financial results tend to reduce organizational investments, leading many companies to adopt reactive management models. And by restricting safety actions to the occurrence of accidents, they ignore unrecorded risks, their scope, latent causes and their systemic nature. Originality/value: This case study is original and assumes an inestimable value due to its scope.

Global landscape of liquid biopsy research: Regional contributions and disparities

ObjectiveLiquid biopsy has revolutionized cancer research, diagnosis, and personalized treatment. This study aimed to explore regional contributions and disparities in this rapidly advancing field. MethodThe Scopus database was utilized for data retrieval in June 2024. A total of 2761 documents, including 1605 articles and 1156 reviews, were analyzed. These documents received 70,837 citations with h-index of 105. ResultsEurope was the most prolific region, contributing 1645 documents with 53,728 citations and an h-index of 94. Asia followed with 607 documents, receiving 17,116 citations and an h-index of 62. The Middle East, South America, and Africa had significantly fewer publications, with 44, 41, and 5 documents respectively. The Middle East's publications earned 840 citations and an h-index of 15, South America's documents garnered 725 citations and an h-index of 16, and Africa's modest contribution accumulated 61 citations and an h-index of 3. ConclusionDespite the remarkable growth and applications of liquid biopsy, significant regional disparities in research contributions and impacts are evident. Addressing these disparities is crucial for ensuring more equitable advancements and access to liquid biopsy technologies worldwide.

A Review on Synthetic Thiazole Derivatives as an Antimalarial Agent.

Thiazole is a widely studied core structure in heterocyclic chemistry and has proven to be a valuable scaffold in medicinal chemistry. The presence of thiazole in both naturally occurring and synthetic pharmacologically active compounds demonstrates the adaptability of these derivatives. The current study attempted to review and compile the contributions of numerous researchers over the last 20 years to the medicinal importance of these scaffolds, with a primary focus on antimalarial activity. The review is based on an extensive search of PubMed, Google Scholar, Elsevier, and other renowned journal sites for a thorough literature survey involving various research and review articles. A comprehensive review of the antimalarial activity of the thiazole scaffold revealed potential therapeutic targets in Plasmodium species. Furthermore, the correlation of structure-activity-relationship (SAR) studies from various articles suggests that the thiazole ring has therapeutic potential. This article intends to point researchers in the right direction for developing potential thiazole-based compounds as antimalarial agents in the future.

The Effect of SHRM on Firm Performance Mediated by Operating Strategy and Entrepreneurial Orientation

SHRM is the result of management's inclination toward strategic organization when all business functions try to link their work methods and practices with corporate strategy in order to achieve optimal organizational performance. This study aims at the effects of SHRM on Firm Performance mediated by operation strategy and entrepreneurial orientation. The study approach was carried out by collecting data through questionnaires through surveys. The respondents in this research were employees of UMKM in the fields of handicraft, totaling 60 respondents. The data analysis technique uses Partial Least Square (PLS). The results of this study indicate that SHRM has a positive and significant effect on firm performance, entrepreneurial orientation, and firm performance through operation strategy, operation strategy has a positive effect on firm performance, SHRM has a negative and insignificant on firm performance, entrepreneurial orientation. The result of this study have a theoretical contribution for future research and a practical contribution for business people, especially UMKM in order to improve their operational performance orientation has a negative and insignificant effect on firm performance, and SHRM has a negative and insignificant of firm performance through entrepreneurial orientation.

Raising the Academic Authority of Clinical Experience: The Department of Internal Medicine at Keijo Imperial University and Its Periodical Imsangnaegwahak.

This paper examines the periodical Clinical Internal Medicine published by the Department of Internal Medicine at Keijo Imperial University in colonial Korea. Previous studies on medical research at Keijo Imperial University have primarily focused on preclinical departments such as anatomy, hygiene, pharmacology, and microbiology which produced knowledge that supported Japan's imperialistic expansion. This approach has overlooked the research contributions of clinical departments, often viewing the roles of preclinical and clinical departments through a dichotomy between research versus clinician training. However, Clinical Internal Medicine demonstrates that the Department of Internal Medicine at Keijo Imperial University was actively engaged in research. By analyzing the purpose and content of Clinical Internal Medicine, this paper reveals that its publication was an effort by the Department of Internal Medicine to address the demand for practical knowledge among clinicians practicing outside the university. At the same time, it reflects a commitment to enhancing the academic value of clinical experience and critiques the blind pursuit of experimental medicine in the Japanese medical community in the 1920s and 1930s. The case of the Department of Internal Medicine at Keijo Imperial University illustrates the transformation of clinical experience into "worthy" academic knowledge in colonial Korea. Based on these findings, this paper provides insights into the role of clinical departments at Keijo Imperial University in research and post-graduation education.

Hubungan Tingkat Dukungan Keluarga, Pengetahuan Keluarga dan Peran Kader Terhadap Kunjungan Balita Ke Posyandu Tahun 2023

Indonesia still faces nutritional problems, one of which is undernutrition. Undernutrition is a nutritional issue that can affect toddlers. Toddlers, defined as children aged 0–59 months, need close monitoring of their growth and development since they are in the "Golden Age" phase. Toddlers experiencing undernutrition can be identified by their thin body condition, indicated by a weight-for-length or height score falling between -2 to -3 standard deviations, and/or an upper arm circumference of 11.5–12.5 cm in children aged 6–59 months. Research Objective: To determine the relationship between family knowledge, family support, and the role of health cadres in toddler visits to the integrated health post (Posyandu) at Harapan Raya Health Center. Research Contribution: While this study does not generate new theories, it is expected to contribute ideas within the field of public health. Additionally, it aims to provide researchers with insights and experience, broadening their knowledge, and serving as useful information for future studies.

Influence Sophistication Technology Information, Support Management Peak and Ability Personal Techniques on Effectiveness System Information Accountancy

The aim of this research is to examine the influence of information technology sophistication, top management support and personal technical capabilities on the effectiveness of accounting information systems. This research was conducted at the Denpasar City Regional Apparatus Organization (OPD), the number of samples used was 40 respondents using a non-probability sampling method using a purposive sampling technique. The collected data was then analyzed using Partial Least Square (PLS). The research results show that the sophistication of information technology, top management support and personal technical abilities have a positive effect on the effectiveness of the accounting information system. The implications of this research include two things, theoretical implications and practical implications. The theoretical implications of this research relate to the development of theories regarding the variables of information technology sophistication, top management support and personal technical abilities that support the Technology Acceptance Model (TAM) theory. The practical implications of this research relate to the contribution of research in Denpasar City Regional Apparatus Organizations (OPD) as material for consideration in improving the effectiveness of accounting information systems.

MARKET SEGMENTATION ANALYSIS AND POSITIONING TO INCREASE PRODUCT COMPETITIVENESS IN THE GLOBAL MARKET

This study aims to find out how to increase product competitiveness in the global market through the analysis of market segmentation and positioning. The study employs a qualitative approach, utilizing a systematic literature review (SLR) design. The data is analyzed through identification, classification, conclusion drawing, and verification. The research contribution lies in its focus on enhancing the competitiveness of products in a highly competitive global environment by analyzing market segments and positioning strategies. This study provides valuable insights and practical guidelines for businesses seeking to optimize their market presence and differentiate their products in an ever-evolving era of globalization. In addition, the study explores the impact of cultural and local adaptation on the success of positioning strategies in diverse markets.

Price and Non‐Price Factors in Development of Rice Cultivation: Case Studies From Southern India and Mekong‐Delta Vietnam

ABSTRACTThe high rice prices of 2023 have highlighted the need for increasing rice productivity. But improving productivity, especially in low‐performing rice‐producing regions, should also improve incomes for the numerous smallholder cultivators. This article examines what we can learn from the experience of high‐performing rice‐growing regions, which have both high rice yields and incomes. We focus on two best‐performing villages from Kerala, southern India and Mekong Delta, Vietnam. Using a detailed case study approach combining farm budget analysis, counterfactual simulations using agricultural household models, and qualitative insights, our analysis shows the contribution of price support, irrigation, and agricultural research in these two regions to the current situation. While price support was the prominent factor in Keralaʼs village, irrigation and extending the cropping intensity was important for farm incomes in the Mekong Delta village. This comparative analysis demonstrates the need for an ongoing evaluation of price and non‐price factors and supplementing farm incomes through specific interventions for developing low‐performing rice‐producing regions.

Developing effective optimized machine learning approaches for settlement prediction of shallow foundation

The precise assessment of shallow foundation settlement on cohesionless soils is a challenging geotechnical issue, primarily due to the significant uncertainties related to the factors influencing the settlement. This study aims to create an advanced hybrid machine learning methodology for accurately estimating shallow foundations' settlement (Sm). The initial contribution of the current research is developing and validating a robust hybrid optimization methodology based on an artificial electric field and single candidate optimizer (AEFSCO). This approach is thoroughly tested using various benchmark functions. AEFSCO will also be used to optimize three useful machine learning methods: long short-term memory (LSTM), support vector regression (SVR), and multilayer perceptron neural network (MLPNN) by adjusting their hyperparameters for predicting the settlement of shallow foundations. A database consisting of 189 individual case histories, conducted through various investigations, was used for training and testing the models. The database includes five input parameters and one output. These factors encompassed both the geometric characteristics of the foundation and the properties of the sandy soil. The results demonstrate that employing effective optimization strategies to adjust the ML models’ hyperparameters can significantly improve the accuracy of predicted results. The AEFSCO has increased the coefficient of determination (R2) value of the MLPNN model by 9.3 %, the SVR model by 8 %, and the LSTM model by 22 %. Also, the LSTM-AEFSCO model is more accurate than the SVR-AEFSCO and MLPNN-AEFSCO models. This is shown by the fact that R2 went from 0.9494 to 0.9290 to 0.9903, which is an increase of 4.5 % and 6 %.

A multidimensional scale for assessing sport fan well-being: an examination in the context of professional baseball

ABSTRACT Purpose The purposes of this research are to (1) introduce a four-dimensional (hedonic, eudainomic, social, and physical) conceptualization of fan well-being in spectator sport and (2) present evidence for the reliability and validity of the multidimensional scale of fan well-being. Methodology Data were collected from professional baseball spectators in Japan. Through an exploratory factor analysis and a confirmatory factor analysis, we assessed the factor structure of sport fan well-being, operationalized by a final set of 18 items. Findings Study 1 supports the four-factor structure of the scale, including a new dimension of physical fan well-being. In Study 2, the findings provide evidence for the construct validity of the measurement model and suggest that the four well-being dimensions are positively associated with previously validated scales (flourishing and life satisfaction) and can be integrated into a second-order latent construct. Practical implications Given the conceptual distinction between physical fan well-being and the other three dimensions, sport teams should provide fans with (1) cheering activities that are easy to understand and follow and (2) healthy food choices that allow fans to control body weight and prevent obesity. Research contribution This study extends previous research by integrating a new dimension of physical fan well-being, allowing for a more comprehensive analysis of context-specific well-being in spectator sport.

OPTIMIZATION OF MANAGEMENT DECISIONS IN TAX RELATIONS: NEW TECHNOLOGIES AND STANDARDS IN ACCOUNTING PROCESSES

The article addresses the critical role of accounting information in the context of tax relations, particularly in the dynamic business environment influenced by globalization. It emphasizes the necessity for structured data organization and information flow to enhance managerial decision-making processes. A significant focus is placed on the quality of accounting data, which is foundational for effective tax reporting and compliance. The study reviews existing literature, highlighting the contributions of Ukrainian researchers who stress the importance of relevant and high-quality accounting information for decision-making. The paper aims to explore the evolving approaches to accounting data formation, driven by globalization and the challenges it presents in tax interactions. It discusses the implications of adopting International Financial Reporting Standards (IFRS), which have been developed to ensure transparency, comparability, and high-quality financial reporting across borders. The article notes that while IFRS adoption is mandatory for many entities in Europe, discrepancies in implementation exist among member states, leading to varied disclosure requirements. Furthermore, the introduction of the Standard Audit File for Tax (SAF-T) is examined as a modern solution for enhancing data exchange between businesses and tax authorities. This XML format enables tax officials to access comprehensive accounting information, facilitating tax audits and compliance checks. The integration of SAF-T with IFRS reporting is posited to improve data quality and operational efficiency while addressing the increasing demand for reliable accounting information. In conclusion, the article argues that the implementation of IFRS and SAF-T can significantly enhance financial transparency and comparability, thereby reducing risks and costs associated with investment evaluations in the global market. However, it also acknowledges potential challenges in managing accounting practices and the need for advanced measures to accurately reflect a company's financial status and performance. This comprehensive analysis underscores the importance of high-quality accounting data in navigating the complexities of modern tax relations

Strategic location model for oil spill response vessels (OSRVs) considering oil transportation and weather uncertainties

In the event of oil spills in offshore oil and gas projects, containment and dispersion equipment must be sent to the affected areas within a critical time by vessels known as oil spill response vessels (OSRVs). Here, we developed an optimization tool, integrated with an oil spill trajectory simulation model, both in deterministic and stochastic alternatives, to support decision-making during the strategic planning of OSRV operations. The tool was constructed in Python using GNOME for oil spill simulations and the GUROBI to solve the optimization model. The tool was applied to a case study in Brazil and afforded relevant recommendations. In terms of research contributions, we proved the viability of the integration between oil spill simulation and mathematical modeling for OSRV strategic operation planning, we explored the stochasticity of the problem with an innovative strategy and we demonstrated flexibility and easy applicability of the framework on real operations.

EEG-Based Lie Detection Using Autoencoder Deep Learning with Muse II Brain Sensing

Detecting deception has significant implications in fields like law enforcement and security. This research aims to develop an effective lie detection system using Electroencephalography (EEG), which measures the brain's electrical activity to capture neural patterns associated with deceptive behavior. Using the Muse II headband, we obtained EEG data across 5 channels from 34 participants aged 16-25, comprising 32 males and 2 females, with backgrounds as high school students, undergraduates, and employees. EEG data collection took place in a suitable environment, characterized by a comfortable and interference-free setting optimized for interviews. The research contribution is the creation of a lie detection dataset and the development of an autoencoder model for feature extraction and a deep neural network for classification. Data preparation involved several pre-processing steps: converting microvolts to volts, filtering with a band-pass filter (3-30Hz), STFT transformation with a 256 data window and 128 overlap, data normalization using z-score, and generating spectrograms from power density spectra below 60Hz. Feature extraction was performed using an autoencoder, followed by classification with a deep neural network. Methods included testing three autoencoder models with varying latent space sizes and two types of classifiers: three new deep neural network models, including LSTM, and six models using pre-trained ResNet50 and EfficientNetV2-S, some with attention layers. Data was split into 75% for training, 10% for validation, and 15% for testing. Results showed that the best model, using autoencoder with latent space size of 64x10x51 and classifier using the pre-trained EfficientNetV2-S, achieved 97% accuracy on the training set, 72% on the validation set, and 71% on the testing set. Testing data resulted in an F1-score of 0.73, accuracy of 0.71, precision of 0.68, and recall of 0.78. The novelty of this research includes the use of a cost-effective EEG reader with minimal electrodes, exploration of single and 3-dimensional autoencoders, and both non-pretrained classifiers (LSTM, 2D convolution, and fully connected layers) and pretrained models incorporating attention layers.

Reflexive participant collaboration: researching ‘with’ adult migrant learners of English

ABSTRACT This article explores a method of collecting in-situ data created by adult migrants attending English language classes to investigate the interindividual variance of vulnerability within this population. The study encourages reflexivity to evaluate and redress the power relationships present both in the research process and the daily lives of the migrants, whilst also building trust between the researcher and participants. I argue that weekly text message data, generated by participants and arranged as graphs for online interviews, empowers participants to take ownership of their research contribution and encourages deeper reflections to share the stories behind the messages.

Bolstering family therapy: Assimilating EMDR into ABFT in youth residential treatment.

The psychotherapy field has a long history of integration to improve treatment effectiveness. One type, assimilative integration, offers innovative opportunities to family therapy to incorporate the clinical and research contributions of different approaches. This paper contributes to the literature on integration by exploring how Eye Movement Desensitization and Reprocessing (EMDR) can be assimilated into Attachment-Based Family Therapy (ABFT) for youth in residential psychiatric treatment. ABFT seeks to improve attachment security to parental figures by asking adolescents and young adults to discuss attachment ruptures. This process, specially designed for patients with internalizing disorders, can provoke anxiety, particularly for a patient population that commonly has a history of trauma and adverse life experiences. EMDR is a first-line therapy for post-traumatic stress disorder and has the potential to be effective in treating various other mental health conditions. When patient emotional withdrawal or dysregulation due to breaches in trust between child and parent emerges in ABFT, EMDR may help desensitize associated memories and bolster the family therapy process. The authors provide an overview of both models, and a detailed case study as an example. The paper concludes with a discussion on implications, integration efforts, and limitations.

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey

Neural symbolic knowledge graph (KG) reasoning offers a promising approach that combines the expressive power of symbolic reasoning with the learning capabilities inherent in neural networks. This survey provides a comprehensive overview of advancements, techniques, and challenges in the field of neural symbolic KG reasoning. The survey introduces the fundamental concepts of KGs and symbolic logic, followed by an exploration of three significant KG reasoning tasks: knowledge graph completion, complex query answering, and logical rule learning. For each task, we thoroughly discuss three distinct categories of methods: pure symbolic methods, pure neural approaches, and the integration of neural networks and symbolic reasoning methods known as neural-symbolic. We carefully analyze and compare the strengths and limitations of each category of methods to provide a comprehensive understanding. By synthesizing recent research contributions and identifying open research directions, this survey aims to equip researchers and practitioners with a comprehensive understanding of the state-of-the-art in neural symbolic KG reasoning, fostering future advancements in this interdisciplinary domain.

A Bibliometric Analysis of Material Selection Using MCDM Methods: Trends and Insights

The selection of appropriate materials is a critical decision-making process in engineering, impacting both performance and sustainability. Multi-Criteria Decision-Making (MCDM) methods have become increasingly popular for navigating the complex trade-offs involved in material selection. This study presents a comprehensive bibliometric analysis of research on material selection using MCDM methods, covering publications from 2010 to 2024. Using tools like VOSviewer 1.6.20, this analysis identifies key trends, influential authors, prominent institutions, and geographic distribution of research contributions. The findings reveal a significant growth in publications, particularly after 2010, reflecting the expanding recognition of MCDM’s importance in material selection processes. Notable contributors, including key researchers and leading institutions, have shaped the field through high-impact studies. The geographic analysis highlights a strong concentration of research in regions such as Asia and Europe, underscoring their leadership in advancing MCDM methodologies. This paper provides valuable insights into the evolution of material selection research using MCDM, offering a foundation for future studies and applications in engineering and beyond.

The Respiratory Compensation Point: Mechanisms and Relation to the Maximal Metabolic Steady State.

At a point during the latter third of an incremental exercise protocol, ventilation begins to exceed the rate of clearance of carbon dioxide (CO2) at the lungs ( CO2). The onset of this hyperventilation, which is confirmed by a fall from a period of stability in end-tidal and arterial CO2 tensions (PCO2), is referred to as the respiratory compensation point (RCP). The mechanisms that contribute to the RCP remain debated as does its surrogacy for the maximal metabolic steady state of constant-power exercise (i.e., the highest work rate associated with maintenance of physiological steady state). The objective of this current opinion is to summarize the original research contributions that support and refute the hypotheses that: (i) the RCP represents a rapid, peripheral chemoreceptor-mediated reflex response engaged when the metabolic rate at which the buffering systems can no longer constrain the rise in hydrogen ions ([H+]) associated with rising lactate concentration and metabolic CO2 production is surpassed; and (ii) the metabolic rate at which this occurs is equivalent to the maximal metabolic steady state of constant power exercise. In doing so, we will shed light on potential mechanisms contributing to the RCP, attempt to reconcile disparate findings, make a case for its adoption for exercise intensity stratification and propose strategies for the use of RCP in aerobic exercise prescription.

Three decades of nurses’ talent retention: a bibliometric analysis

Purpose Nurse turnover is perceived to be a major challenge for health-care administrators. The turnover is because of various factors like poor working conditions, low salaries, poor work–life balance and international opportunities. The purpose of conducting a bibliometric analysis on “Nurses’ Talent Retention” is to comprehensively analyze the trends, patterns and research contributions related to this area. By synthesizing and analyzing the existing literature, this study aims to identify key areas for nurse retention, thereby providing a foundation for further research, practical interventions and policy implications. Design/methodology/approach This research investigates talent retention practices in nursing from 1989 to 2023 by analyzing 427 documents from 213 sources sourced through Elsevier Scopus. Using the PRISMA framework, the study uses bibliometric analysis using the R studio’s biblometrix package. Key findings reveal a growing scholarly interest with an annual growth rate of 11.46%, an average document age of 7.93 years and an average citation rate of 43.26. Notably, international collaboration represents 17.56% of co-authorships, indicating the global relevance of the research. The study addresses three main research questions, including factors contributing to nurse retention in the Indian context, and implications for nurse well-being and turnover rates across different health-care contexts and countries. Findings The bibliometric analysis of nurse retention highlights several key findings. Magnet hospitals, accredited by the ANCC, demonstrate superior work environments, staffing levels and nurse outcomes, emphasizing the significance of nursing leadership and professionalism. The factors such as resilience, influenced by perceived competence, collaboration and coping strategies, highlight the importance of addressing psychological well-being in retention efforts. Transformational leadership and supportive work environments are associated with increased intentions for nurses to remain in their roles, suggesting the need for organizational practices fostering positive workplace cultures. Diversity management initiatives promoting inclusivity correlate with positive organizational outcomes, indicating the potential for diverse and inclusive workplaces to enhance nurse retention. Practical implications These findings provide substantial implications for health-care organizations and policymakers. Investing in nursing leadership and nurturing supportive work environments can enhance nurse satisfaction and retention. Implementing diversity management in recruitment practices can create inclusive workplaces, positively impacting nurse retention and organizational outcomes. Mandating staffing ratios may also improve nurse retention and patient care quality. Understanding the economic and organizational costs associated with nurse turnover emphasizes the need for effective retention strategies and healthy work environments. Originality/value This study contributes to the understanding of nurse retention dynamics by synthesizing findings from the literature. By highlighting the importance of nursing leadership, resilience and diversity management, it provides valuable insights for future research and practice in the field. The study also emphasizes the economic and organizational costs of nurse turnover, enhancing the urgency of implementing effective retention strategies.