bluuebunny/crossref_metadata_2025 huggingface dataset:
Barefoot Walking (Earthing) Craze and Policy Support Among Community-Dwelling Older Adults in South Korea: A Grounded Theory Analysis
Authors: Lee So-Yoon , Bing Won-Chul
Published: November 2024

Barefoot walking is currently a craze in South Korean communities. In particular, the elderly are participating in barefoot walking (earthing) to improve their physical and mental health due to their increasing desire for a healthy life. The purpose of this study was to analyze causes, processes, and consequences of the barefoot walking craze among the elderly in Korean society. The research method used was the grounded theory method. Thirty-five elderly people participating in barefoot walking were selected as participants. Data were analyzed according to open coding, axial coding, and selective coding proposed by Strauss and Corbin. First, an open coding phase yielded 61 concepts, 18 subcategories, and 7 categories through continuous questioning and comparative analysis. Second, in the axial coding stage, causal, contextual, and mediating conditions, action/interaction strategies, and consequences were presented, centering on the phenomenon. Causal conditions and contextual conditions contributing to the phenomenon of barefoot walking were identified as “motivation to participate” and “barefoot walking environment”, respectively. “Participating in barefoot walking” was identified as a phenomenon in the axial coding paradigm. The intervening condition was analyzed as “information about barefoot walking”. The action/interaction strategy was analyzed as “spreading the value of barefoot walking”. In the axial coding paradigm, consequences that emerged through the action/interaction strategy were “restoring physical and mental health” and “community spread and nuisance”. Third, in the selective coding stage, “barefoot walking as a daily routine” was derived as the core category, and the narrative outline was presented. To create a sustainable barefoot walking environment in Korea, it is necessary to have a healthy civic consciousness that coexists and harmonizes with nature.
Exploring Barriers to the Effective Implementation of Integrated Waste Management Plans in Developing Economies: Lessons Learned from South African Municipalities
Authors: Mukwevho Phathutshedzo , Radzuma Prince , Roos Claudine
Published: November 2024

Solid waste management poses a significant challenge globally, especially in developing economies, where increasing waste generation and ineffective management measures are common. Municipalities, responsible for managing waste, often struggle to provide efficient services. To address this, local governments implement policy tools like the Integrated Waste Management Plans (IWMPs), which aim to improve waste management. Despite the existence of such policies, waste pollution continues to rise in countries like South Africa. The purpose of this study is to explore the barriers to the effective implementation of IWMPs, focusing on the Makhado Local Municipality (MLM) in South Africa. Using a qualitative approach, interviews, document reviews, and observations were conducted with stakeholders, targeting 23 participants, of which 15 contributed. Our findings highlight several key barriers, including lack of monitoring, political interference, corruption, insufficient budgeting, poor infrastructure maintenance, lack of skilled personnel, and inadequate community education. These challenges hinder the successful implementation of IWMPs in the MLM. Our study further identified several opportunities at the MLM and general strengths and threats using a SWOT (strengths, weaknesses, opportunities, threats) analysis.
Multi-Vehicle Cooperative Decision-Making in Merging Area Based on Deep Multi-Agent Reinforcement Learning
Authors: Gan Quan , Li Bin , Xiong Zhengang , Li Zhenhua , Liu Yanyue
Published: November 2024

In recent years, reinforcement learning (RL) methods have shown powerful learning capabilities in single-vehicle autonomous driving. However, few studies have focused on multi-vehicle cooperative driving based on RL, particularly in the dynamically changing traffic environments of highway ramp merge zones. In this paper, a multi-agent deep reinforcement learning (MARL) framework for multi-vehicle cooperative decision-making is proposed based on actor–critic, which categorizes vehicles into two groups according to their origins in the merging area. At the same time, the complexity of the network is reduced and the training process of the model is accelerated by utilizing mechanisms such as partial parameter sharing and experience playback. Additionally, a combination of global and individual rewards is adopted to promote cooperation in connected autonomous vehicles (CAVs) and balance individual and group interests. The training performance of the model is compared under three traffic densities, and our method is also compared with state-of-the-art benchmark methods. The simulation results show that the proposed MARL framework can have stronger policy learning capability and stability under various traffic flow conditions. Moreover, it can also effectively improve the speed of vehicles in the merging zone and reduce traffic conflicts.
Evaluation of Pectoral Nerve Blocks Type II (PEC II) for Augmentation Mammoplasty: Prospective, Randomized, and Double-Blind Study
Authors: Castello Branco de Sousa Paulo Cesar , Alves Bersot Carlos Darcy , Pereira Lucas Ferreira Gomes , Pereira José Eduardo Guimarães , Lima Neville Mariana Fontes , Cunha Ferraro Leonardo Henrique , Falcão Luiz Fernando dos Reis
Published: November 2024

Objective: to study the effectiveness of type II pectoral nerve block (PEC II) for breast augmentation with submuscular implants by assessing opioid consumption and pain scale in the immediate postoperative period, from the post-anesthesia care unit (PACU) to 24 h postoperatively. Methods: A prospective, controlled, randomized, and double-blind study. Thirty-four patients were analyzed during the perioperative period and in the PACU, with one group receiving bilateral PEC II combined with general anesthesia and the control group receiving only general anesthesia. Results: There was no difference between the groups regarding demographic data, surgical and anesthetic times, or intraoperative opioid use. Opioid consumption in the control group was consistently higher at all the time intervals studied, with an average morphine consumption 38.7% greater. The largest variation in morphine consumption occurred at the fourth and sixth hours postoperatively. The greatest difference in postoperative pain was 36% higher in the control group compared to the intervention group. Conclusions: patients who underwent general anesthesia combined with PEC II had lower opioid consumption and a lower postoperative pain score without associated complications, confirming the effectiveness of the procedure.
Bridging the Digital Divide in Mexico: A Critical Analysis of Telecommunications Infrastructure and Predictive Models for Policy Innovation
Authors: Del-Valle-Soto Carolina , Briseño Ramon A. , López-Pimentel Juan-Carlos , Velázquez Ramiro , Valdivia Leonardo J. , Varela-Aldás José
Published: November 2024

This work presents an in-depth evaluation of the telecommunications landscape in Mexico from 2015 to 2023. The study’s primary focus is on the disparities in broadband access, telecommunications infrastructure, and digital inclusion across various regions, particularly between urban and rural areas. By employing predictive models and correlation analysis, the paper identifies key factors influencing technology adoption and service bundling in households. A significant contribution of this research lies in its identification of strong correlations between broadband access, GDP growth, and the penetration of multiple telecommunication services such as fixed telephony, broadband internet, and television. The predictive models developed offer crucial insights into the regional inequalities of digital access, revealing patterns that policymakers can use to prioritize infrastructure investments. The findings underscore the essential role of public policy innovation in promoting digital inclusion, particularly in underdeveloped regions, and provide a robust analytical framework for understanding how advanced telecommunications services contribute to socio-economic development. Through this analytical approach, the study demonstrates the critical relationship between telecommunications infrastructure and regional economic performance, offering data-driven recommendations to bridge the digital divide and enhance connectivity in underserved areas. The results offer significant value for future research and policy initiatives aimed at fostering equitable access to Information and communication technologies, promoting economic growth, and ensuring broader societal inclusion in the digital age.
Splenectomy Before Recipient Hepatectomy for Inflow Modulation Using a Very Small Modified Right Hemiliver Graft: A Case Report
Authors: Sinha Piyush Kumar , Bharathy Kishore GS
Published: November 2024

Portal inflow modulation has become standard practice in many transplant centers performing living donor liver transplantation. This is believed to counteract the deleterious effects of excess portal flow into a small-for-size graft. A splenectomy negates the contribution of the splenic vein flow completely and thereby substantially reduces portal inflow. Although it has been adopted as a standard strategy by many Japanese centers for inflow modulation, especially while using left hemiliver grafts, there is justifiable apprehension about its usage due to potential increases in morbidity. Described here is a splenectomy performed while using a modified right hemiliver graft with a graft to recipient weight ratio of 0.49. The challenges in decision making and reasons regarding how such a small graft might have worked without manifestations of small-for-size/flow syndrome are discussed.
Educational Recommendations for Medical Students Regarding Assessment and Management of Patients of Undifferentiated Criticality
Authors: Hyde Andrew S. , Brown Carlos E.
Published: November 2024

Classical medical education teaches history and physical skills using scenarios wherein the criticality of a patient is predefined. This educational approach creates a gap in medical knowledge for students, who do not regularly define or establish patient criticality, and this gap is realized when it comes to the triage and management of critical patients. The purpose of this paper is to define an approach to patient assessment and management that is accessible to medical students regardless of criticality. This approach is algorithmic and defined by the use of three steps: (1) a primary survey, during which a general impression of the patient is formed, ABCDEs are assessed, and a criticality assessment is made; (2) a secondary survey, during which vitals, history, and exam data are all collected to form a working diagnosis; and (3) plan and treatment, during which supportive diagnostics, such as labs, imaging, and testing, are performed in the service of patient stabilization and intervention, consults/referrals are ordered/placed, and a final disposition is established. This model is intended to complement existing medical education and further expand it to encompass both critical and noncritical patients.
The Efficacy of Active Warming in Prehospital Trauma Care: A Systematic Review and Meta-Analysis
Authors: Johnstone Lauren , Ahmed Zubair
Published: November 2024

Background/Objectives: Hypothermia can affect multiple organ systems and reduce patient comfort and is an independent predictor of mortality in trauma patients. Early prevention and management prehospitally is critical and can be approached by “warming” patients using active and/or passive measures. Therefore, this systematic review aimed to determine the efficacy of prehospital active warming (AW) in trauma patients. Methods: MEDLINE, Embase, Web of Science and CENTRAL were searched up to June 2024 for studies meeting our inclusion and exclusion criteria. Six studies were identified: four randomised controlled trials (RCTs), a non-randomised trial and an observational study. A risk-of-bias assessment was conducted using either the Cochrane Risk of Bias 2 tool or the ROBINS-I tool. Results: For the primary outcome of end core body temperature (CBT), our meta-analysis calculated a statistically significant mean difference of 0.62 °C ([95%CI: 0.17, 1.07], p = 0.007), favouring AW. For the secondary outcomes of end heart rate and end systolic blood pressure, the mean differences favoured the AW and control groups, respectively, but were not statistically significant (p = 0.45 and p = 0.64). Two of the four RCTs had an overall moderate to high risk of bias, whilst the two observational studies had a high risk of bias. Conclusions: Overall, our results suggest that AW may be effective at managing CBT, but our results are limited by a small sample size, a serious/high overall risk of bias and variable study characteristics. Larger, high-quality studies are needed to inform clinical practice and guidelines.
Mpox Resurgence: A Multifaceted Analysis for Global Preparedness
Authors: Mohamed Abdoul-Latif Fatouma , Ainane Ayoub , Mohamed Houda , Merito Ali Ali , Houmed Aboubaker Ibrahim , Jutur Pannaga Pavan , Ainane Tarik
Published: November 2024

This study provides an in-depth analysis of mpox, encompassing its history, characteristics, epidemiology, diagnostics, treatment options, and the ongoing evolution of the virus and its transmission dynamics. Mpox, though once successfully eradicated, has re-emerged with new modes of transmission and a broader host range. Genomic analyses have revealed the virus’s adaptability, posing challenges for diagnostics and vaccine efficacy. The epidemiology has shifted from sporadic zoonotic transmission in rural Africa to a significant presence in urban areas, particularly impacting high-risk populations. Advancements in diagnostics and therapeutics offer hope, but challenges persist. This work underscores the critical need for enhanced surveillance, vaccination strategies, and continued research to bolster global health systems and preparedness for future outbreaks.
Impact of In-Cab Alerts on Connected Truck Speed Reductions in Indiana
Authors: Desai Jairaj , Saldivar-Carranza Enrique D. , Sakhare Rahul Suryakant , Mathew Jijo K. , Bullock Darcy M.
Published: November 2024

Connected vehicle data have the potential to warn motorists of impending slowdowns and congestion in real time. Multiple data providers have recently begun providing in-cab alerts to commercial vehicle drivers. This study reports on one such deployment of in-cab alerts on 44 corridors in Indiana from April–June 2024. Approximately 20,000 alerts were analyzed, with 92% being Congestion alerts and 8% being Dangerous Slowdown alerts. Observations showed that 15% of trucks lowered their speeds by at least 5 mph 30 s after receiving a Congestion alert, while 21% of trucks reduced their speeds by at least 5 mph 30 s after receiving a Dangerous Slowdown alert. The analysis also showed that a majority of Congestion alerted trucks encountered slow-speed traffic about 3 min after receiving an alert, while a majority of Dangerous Slowdown alerted drivers had traveled through the zone of slow speeds 2 min after receiving the alert. Although these results are encouraging, the study also found that 8.1% of Congestion alerts and 8.3% of Dangerous Slowdown alerts were received by trucks when they were operating at speeds of less than or equal to 45 mph, indicating they were already in congested conditions. The study reports that 43% of trucks that received Dangerous Slowdown alerts never reduced their speed below 45 mph. The paper concludes that it is important to converge on a shared vision for these performance measures so that public agencies, in-cab alert providers, and trucking companies can agilely improve these systems and increase driver confidence in the alerts.
A Hybrid Data-Driven Method for Main Circuit Gound Faults Diagnosis in Electrical Traction Drive Systems
Authors: Hou Xinyao , Liu Juntong , Zhang Jinxin , Ni Qiang
Published: November 2024

A main circuit ground fault (MCGF) is a typical system fault in an electrical traction drive system (ETDS). When two or more MCGFs occur, it will cause serious accidents. Therefore, it is particularly important to detect and handle MCGFs in a timely manner. To improve the efficiency of train operation and ensure driving safety, this paper proposes a hybrid data-driven MCGF diagnosis method. First, the voltage signals related to the fault are selected according to the mechanism analysis of the MCGF, and then the initial feature variables are constructed according to these voltage signals. Secondly, the initial feature variables of different types of MCGF are analyzed in the time and frequency domains by wavelet transform, and four feature indicators are calculated. Finally, the fault feature indicators are trained by random forest to obtain a model for subsequent fault diagnosis. After comparative experiments using various machine learning methods, it was found that the RF used in the proposed method has a better diagnostic effect, and the correct isolation rate exceeds 99%.
Unravelling Antimicrobial Resistance in Mycoplasma hyopneumoniae: Genetic Mechanisms and Future Directions
Authors: Jafari Jozani Raziallah , Khallawi Mauida F. Hasoon Al , Trott Darren , Petrovski Kiro , Low Wai Yee , Hemmatzadeh Farhid
Published: November 2024

Antimicrobial resistance (AMR) in Mycoplasma hyopneumoniae, the causative agent of Enzootic Pneumonia in swine, poses a significant challenge to the swine industry. This review focuses on the genetic foundations of AMR in M. hyopneumoniae, highlighting the complexity of resistance mechanisms, including mutations, horizontal gene transfer, and adaptive evolutionary processes. Techniques such as Whole Genome Sequencing (WGS) and multiple-locus variable number tandem repeats analysis (MLVA) have provided insights into the genetic diversity and resistance mechanisms of M. hyopneumoniae. The study underscores the role of selective pressures from antimicrobial use in driving genomic variations that enhance resistance. Additionally, bioinformatic tools utilizing machine learning algorithms, such as CARD and PATRIC, can predict resistance traits, with PATRIC predicting 7 to 12 AMR genes and CARD predicting 0 to 3 AMR genes in 24 whole genome sequences available on NCBI. The review advocates for a multidisciplinary approach integrating genomic, phenotypic, and bioinformatics data to combat AMR effectively. It also elaborates on the need for refining genotyping methods, enhancing resistance prediction accuracy, and developing standardized antimicrobial susceptibility testing procedures specific to M. hyopneumoniae as a fastidious microorganism. By leveraging contemporary genomic technologies and bioinformatics resources, the scientific community can better manage AMR in M. hyopneumoniae, ultimately safeguarding animal health and agricultural productivity. This comprehensive understanding of AMR mechanisms will be beneficial in the adaptation of more effective treatment and management strategies for Enzootic Pneumonia in swine.
Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review
Authors: Bagri Ikram , Tahiry Karim , Hraiba Aziz , Touil Achraf , Mousrij Ahmed
Published: November 2024

Many industrial processes, from manufacturing to food processing, incorporate rotating elements as principal components in their production chain. Failure of these components often leads to costly downtime and potential safety risks, further emphasizing the importance of monitoring their health state. Vibration signal analysis is now a common approach for this purpose, as it provides useful information related to the dynamic behavior of machines. This research aimed to conduct a comprehensive examination of the current methodologies employed in the stages of vibration signal analysis, which encompass preprocessing, processing, and post-processing phases, ultimately leading to the application of Artificial Intelligence-based diagnostics and prognostics. An extensive search was conducted in various databases, including ScienceDirect, IEEE, MDPI, Springer, and Google Scholar, from 2020 to early 2024 following the PRISMA guidelines. Articles that aligned with at least one of the targeted topics cited above and provided unique methods and explicit results qualified for retention, while those that were redundant or did not meet the established inclusion criteria were excluded. Subsequently, 270 articles were selected from an initial pool of 338. The review results highlighted several deficiencies in the preprocessing step and the experimental validation, with implementation rates of 15.41% and 10.15%, respectively, in the selected prototype studies. Examination of the processing phase revealed that time scale decomposition methods have become essential for accurate analysis of vibration signals, as they facilitate the extraction of complex information that remains obscured in the original, undecomposed signals. Combining such methods with time–frequency analysis methods was shown to be an ideal combination for information extraction. In the context of fault detection, support vector machines (SVMs), convolutional neural networks (CNNs), Long Short-Term Memory (LSTM) networks, k-nearest neighbors (KNN), and random forests have been identified as the five most frequently employed algorithms. Meanwhile, transformer-based models are emerging as a promising venue for the prediction of RUL values, along with data transformation. Given the conclusions drawn, future researchers are urged to investigate the interpretability and integration of the diagnosis and prognosis models developed with the aim of applying them in real-time industrial contexts. Furthermore, there is a need for experimental studies to disclose the preprocessing details for datasets and the operational conditions of the machinery, thereby improving the data reproducibility. Another area that warrants further investigation is differentiation of the various types of fault information present in vibration signals obtained from bearings, as the defect information from the overall system is embedded within these signals.
Water Quality Analysis of a 300 Mvar Large-Scale Dual Internal Water Cooling Synchronous Condenser External Cooling System and Exploration of Optimal Water Treatment Agent Dosage at Different Temperatures
Authors: Gu Xiantao , Xu Yunqing , Wu Yuquan , Yang Lin , Zhang Junjie , Chen Xiaochun , Zhou Zhongkang , Fan Peipei , Gao Yuxiang , Ji Qiaozhen , Wu Yan , Dong Haosheng , Ma Xiaowei , Liu Zhikui , Guo Xingwang
Published: November 2024

The external cooling water system of a 300 Mvar dual internal water cooling synchronous condenser at a certain ultra-high voltage converter station continued to exhibit significant scaling and corrosion, even with regular addition of scale and corrosion inhibitors. To solve this problem, the external cooling water of the synchronous condenser was sampled and tested periodically, with the main test items including conductivity, pH value, turbidity, hardness, alkalinity, and other water quality parameters directly related to corrosion and scaling. The trends of these parameters over time were also analyzed. The results showed that as the operation time increased, the cooling water became concentrated during multiple circulation cycles, and the various dissolved or suspended substances underwent a certain degree of enrichment. However, the addition of scale and corrosion inhibitors did not dynamically adjust according to the changes in water quality, and there was always an excessive dosage. Thus, using the external cooling water as the experimental sample, static scale inhibition tests and rotating coupon corrosion tests were conducted to evaluate the scale and corrosion inhibition performance of the commercial AS-582 scale and corrosion inhibitor used at this ultra-high voltage converter station under different conditions. Considering the more obvious corrosive tendency of this water sample, the focus was on testing its corrosion inhibition performance. When the dosage was 600 ppm, the scale inhibition effect was optimal, with an inhibition rate of 92.15%. The corrosion inhibition effect of this scale and the corrosion inhibitor were significantly related to water temperature. At 25 °C, when the dosage was 500 ppm, the corrosion inhibition effect was optimal, with an inhibition rate of 86.79%. However, when the temperature increased to 40 °C, the corrosion inhibition effect under each dosage was significantly worse, unable to meet the requirements, and the use of other corrosion inhibitors in combination was necessary. This work will provide a reference for the scientific use of scale and corrosion inhibitors.
An Enhanced State-Space Modeling for Detecting Abnormal Aging in VRLA Batteries
Authors: Velasco-Arellano Humberto , Visairo-Cruz Nancy , Núñez-Gutiérrez Ciro Alberto , Segundo-Ramírez Juan
Published: November 2024

The knowledge of battery aging is an indicator that allows controlling the performance of large battery banks. State of Health (SOH) is typically the metric used, encompassing all possible mechanisms in a percentage indicator, with the Coulomb Counting as the most common method. Hence, an in-depth study of aging based on known models provides proper information for correctly managing batteries. This article proposes an aging-sensitive 3-RC-array-equivalent electrical circuit model to characterize the behavior of batteries throughout their useful life, identifying parametric changes as complementary information to the state of health. This model was validated based on experimental tests with 2 V and 6 Ah VRLA batteries aged according to the manufacturer’s recommended use. The results reveal a proportionality through capacity degradation. Then, a control group of batteries was subjected to overcharge and over-discharge conditions. The information given by Coulomb Counting SOH and the proposed method were evaluated. The proposed method provides additional information to the SOH, enhancing the distinguishing capability between typical aging performance and misused aging performance, resulting in a useful tool capable of identifying the aging associated with parametric changes in a time-invariant system where aging is treated as an imminent multiplicative fault.
Decentralization Policies and Rural Socio-Economic Growth in Senegal: An Exploration of Their Contributions to Development and Transformation
Authors: Faye Bonoua , Diéne Jeanne Colette , Du Guoming , Liang Chang’an , Kouadio Yao Dinard , Mbaye Edmée , Li Yuheng
Published: November 2024

Since proclaiming independence in 1960, Senegal has faced economic and demographic imbalances across its regions. To address these disparities, the government launched decentralization policies in three major phases, aiming to stimulate socio-economic growth at the local level. This study examines the impact of these policies on urban–rural development using socio-economic data between 2000 and 2020, and a multiple linear regression model in the entirety of Senegal. The findings reveal significant correlations between rural population growth, access to electricity, fertilizer availability, and per capita cultivated land, all positively associated with agricultural productivity. Additionally, rapid urbanization (47.3%) and weak land tenure (88.6%) adversely affect ecological systems and contribute to the proliferation of slums. A notable lack of health facilities per capita highlights a severe gap in healthcare accessibility. The study suggests increasing agricultural income, creating jobs, and promoting policies that support rural collective entrepreneurship as critical steps. It also recommends adopting a “one ecological zone, one economic activity” strategy to reduce economic disparities and encourage sustainable development in rural Senegal.
Treating the perimenopause in the UK Armed Forces: a mixed-methods review exploring the confidence of GPs
Authors: Willman Antony Sean , King Kate
Published: November 2024

Background

Access to high quality perimenopause (PMP) care for UK Armed Forces (UKAF) personnel is crucial, given the increasing proportion of women aged 40–55 in the service. However, owing to the lack of exposure of GPs to the PMP in defence primary health care (DPHC), there are concerns about the confidence in PMP management, particularly in prescribing hormone replacement therapy (HRT).

Aim

To assess the confidence of GPs working in DPHC in the management of the PMP.

Design & setting

This study employed a mixed-methods approach and included all GPs (uniformed and civilian) working in DPHC.

Method

A cross-sectional survey gathered quantitative data on demographics, views on PMP care, and self-rated confidence levels in managing the PMP among defence GPs (DGPs). Semi-structured interviews of purposefully sampled responders were thematically analysed to explore these issues further.

Results

There were 164 responses from 542 DGPs (response rate 30.3%). The majority of responders expressed confidence in managing the PMP but reported lower confidence levels in prescribing HRT for younger women and initiating testosterone. Factors influencing confidence included recent PMP continuing professional development (CPD), GP sex, and exposure to PMP cases. Semi-structured interviews provided deeper insights into GP characteristics, CPD, and awareness of the PMP. Women’s health hubs providing PMP care and experiential education were strongly supported.

Conclusion

The study identified gaps in confidence among DGPs, particularly in certain aspects of PMP management, similar to those found in NHS GPs. CPD and case exposure were important predictors of confidence, with strong support for regional women’s health hubs to optimise PMP care. Further research is warranted to explore strategies for bridging confidence gaps and improving PMP care delivery within the UKAF context.
Analysing the Impact of Gamification Techniques on Enhancing Learner Engagement, Motivation, and Knowledge Retention: A Structural Equation Modelling Approach
Authors: Smirani Lassaad , Yamani Hanaa
Published: November 2024

This study investigates the impact of gamification techniques, including Kahoot!, Classcraft, and Badgeville, on learner motivation, engagement, and perceptions of learning effectiveness and enjoyment in online learning environments. Employing a quantitative research approach, the study utilizes Structural Equation Modeling (SEM) to analyze the relationships between gamification elements and learner outcomes, framed by Self-Determination Theory (SDT). Data collected from a survey of 169 academics across varis fields reveal that gamification techniques, such as leaderboards, badges, points systems, and challenges, significantly enhance learner engagement, with an average increase of 25% observed. Rewards, incentives, and competitive challenges boost both intrinsic and extrinsic motivation, leading to a 30% improvement in learner performance. Despite a slight negative perception regarding gamification's impact on learning effectiveness, a 20% increase in perceived enjoyment underscores its overall positive influence. Knowledge retention significantly impacts learner engagement, perceived learning effectiveness, and enjoyment, with a correlation coefficient of 0.65 between retention rates and engagement levels. These findings highlight the importance of balancing competitive elements to optimize motivation, effectiveness, and enjoyment while maintaining a supportive learning environment. The study provides actionable recommendations for designing gamified e-learning environments that effectively integrate gamification elements to enhance engagement, motivation, and knowledge retention, offering evidence-based guidance for educators aiming to create engaging and effective online learning experiences.
Development of Self-Evaluation Instruments Website-Based Teacher Professional Education Study Program At Lembaga Pendidikan Tenaga Kependidikan (LPTK) Institut Agama Islam Negeri Pontianak
Authors: Rustam Rustam , Dulhadi Dulhadi  , Cici Herawati
Published: November 2024

The development of a website-based questionnaire can retrieve, store and analyze statistical information on the results of self-evaluation of study program. The development of a website-based questionnaire begins with developing an evaluation instrument and developing a template on the website that will be used as a medium to absorb information from respondents. Based on these problems, research questions were formulated: How to develop a website-based survey instrument in IAIN Pontianak's PPG study program?; How to validate a website-based survey instrument in IAIN Pontianak's PPG study program; How are educators' perceptions of study program services in IAIN Pontianak's PPG study program; How are students' perceptions of learning services in IAIN Pontianak's PPG study program? This study used the research and development method. The selection of the method was based on the need to develop a survey instrument using the LimeSurvey application. The respondents consisted of lecturers teaching courses in the study program and students of PPG study program. The results showed that, the components of the LimeSurvey application include the log in page, the survey list page, the survey component editing page, the respondent form page and the survey results statistics page. The developed service instrument received a score of 0.78 ≥ 0.75 with a reliability of 0.922 ≥ 0.05 and the learning service instrument received a score of 0.84 ≥ 0.75 with a reliability of 0.962 ≥ 0.05. Both instruments are declared valid and reliable so that they are suitable for use. The lecturers' perception of the vision and mission of the study program gave an average score of 3.72 on a scale of 4.00 and the study program service management gave a score of 3.62 on a scale of 4.00 so that the vision and mission are relevant and the study program service management is excellent. In the small-scale trial, the score was 3.72 on a scale of 4.00 and in the large-scale trial, the score was 3.56 on a scale of 4.00 so that the learning services in the IAIN Pontianak PPG Study Program were acceptable.
The The Meaning of Riyadhoh Matang Puluh for Students in Salaf Islamic Boarding School
Authors: Jani Khoerani  , Suryanto Suryanto
Published: November 2024

Riyadhoh matang puluh is a tradition practiced by students in salaf Islamic boarding schools. The implementation of riyadhoh matang puluh is crucial as an act of inner effort in the process of acquiring knowledge at islamic boarding school. This study aims to understand the practice of riyadhoh matang puluh and explore the meaning of the experience for students at salaf Islamic boarding schools. The participants in this study were two students who had undergone riyadhoh matang puluh. A qualitative method with a phenomenological approach was used. Data collection was conducted through semi-structured interviews. The results of this study indicate that the meaning of riyadhoh matang puluh for the participants is a spiritual exercise to control desires and purify oneself from elements that can taint the soul through activities such as reading the Qur'an and fasting for 41 days. Riyadhoh matang puluh positively impacts self-regulation, and self-control, and enhances religiosity.
The Dark Side of Knowledge Sharing and Knowledge Hiding
Authors: Podile Dr.Venkateswararao , Mullapudi Sai Saran , Udbhav Naidu Vadranam , Kumar Jha Shobhit , Kalyani Musunuri
Published: November 2024

Knowledge sharing can be an advantage to organizational success as it propels innovation, collaboration, and growth. However, knowledge hiding-a phenomenon when individuals hide or distort information intentionally-leads a very critical challenge for organizations. The paper discusses the dual dynamics of knowledge sharing and knowledge hiding within organizations. It examines the reasons for each practice, their influence on organizational culture and effectiveness, and how organizations can intervene to foster an even more open and knowledge-sharing environment. Intervention to counter and curtail this dark side of knowledge hiding may contribute to bettering the competitive advantage of organizations while stimulating a more sustainable and collaborative workplace culture.
The Influence of ESG Endeavors on Organizational and Financial Performance: Mediating Effects of Internal Market Orientation and the Moderating Role of Job Crafting
Authors: Chen Kao-Shan
Published: November 2024

The purpose of this paper is to explore the impact of ESG on organizational and financial performance, and use internal market-oriented culture as an intermediary factor to explore its mediating effect, and finally use job crafting as an adjustment factor to explore its moderating effect. The research results show that ESG has a positive impact on organizational and financial performance, and internal market-oriented culture also has a positive impact on organizational and financial performance. At the same time, internal market-oriented culture (IMOC) has a mediating effect on ESG, organizational and financial performance, while job crafting has a moderating effect on internal market-oriented culture, organizational and financial performance.
Approach Proposal for Energy-Efficient Retrofit of Historic Buildings with Comparative Analysis of EU Research Projects
Authors: Kumtepe Elvan , Ayçam İdil
Published: November 2024

Within the framework of the building section, the existing building stock is a research area with a high potential for energy savings, as it is a crucial energy consumption source. Studies are being carried out on many existing building stocks to prevent and reduce the increasing energy consumption and negative situations due to climate change and global warming. It is seen that parameters such as energy efficiency are considered as a whole with conservation in intervention methods, especially in European countries, since only conservation is insufficient for historical buildings, which are one of the primary sources of important existing building stock. Preserving cultural identity values and energy efficiency are the primary intervention criteria. By considering these two intervention criteria in balance and as a whole, the permanence and sustainability of the buildings for future generations is ensured. In this regard, comprehensive, large-scale, and multinational projects supported by the European Union (EU), especially in European countries, are carried out. In line with the conclusions drawn from the detailed and systematic analysis, comparison, and evaluation of the projects, the study proposed an approach and intervention model for future studies. The determined projects were examined in detail regarding purpose, scope, target, strategy, content, and project outcome outputs. Systematic inferences were made through the analysis in line with the data obtained. Comparisons and evaluations were made on approach information, objectives, analysis methods, technology and software used, active-passive and renewable energy systems, monitoring and tracking systems, and project output data obtained at the project's end to make the intervention's effects sustainable. As a result, a comprehensive approach model for energy-efficient retrofitting intervention approaches has been proposed in line with the conclusions obtained from the analysis, comparison, and evaluations of energy-efficient retrofitting of historic buildings. Thus, the approach model obtained with the study will guide the creation of intervention models for the studies to be carried out on energy-efficient retrofits in historical buildings.
revista Era Nova na Paraíba
Authors: Abrantes Alômia , Burity Luiz Mário Dantas
Published: November 2024

A revista Era Nova circulou quinzenalmente no estado da Paraíba entre 1921 e 1926. Impressa em papel couché, colorida, repleta de fotografias e ilustrações de inspiração art nouveau, tratava-se de um periódico modernista. Na esteira de Rafael Cardoso (2022), entendemos os modernismos como movimentos intelectuais que se empenharam em construir uma agenda cultural e política para os tempos modernos. A sobrevivência do magazine, no entanto, dependeu desde a sua origem do subsídio estatal, o que foi produto de uma filiação e de uma colaboração permanente dos editores e redatores com o poderpúblico. Nesses termos, pensamos as peculiaridades do projeto cultural disseminado pela revista, que teria constituído, assim, uma espécie de modernismo de Estado.
Strategi Pengembangan Pariwisata Muslim Friendly di Kota Pasuruan
Authors: Gunawan Rachmat Bryando , Supriadi Bambang , Risfandini Andini
Published: November 2024

Fenomena perjalanan wisatawan Muslim meningkat secara signifikan, dengan data menunjukkan bahwa jumlah kunjungan wisatawan Muslim internasional mencapai 140 juta pada tahun 2023. Hal ini menunjukkan adanya pemulihan di sektor pariwisata pasca-pandemi. Dengan meningkatnya kesadaran akan kebutuhan fasilitas yang sesuai dengan prinsip Islam, banyak negara berusaha menyesuaikan layanan mereka untuk menarik wisatawan Muslim. Kota Pasuruan, sebagai salah satu destinasi potensial, berupaya mengembangkan pariwisata ramah Muslim untuk meningkatkan kunjungan wisatawan. Tujuan Penelitian adalah mengidentifikasi faktor internal dan eksternal yang mempengaruhi pariwisata ramah Muslim di Kota Pasuruan, merancang grand dan alternatif strategi pengembangan pariwisata ramah muslim, dan menentukan urutan prioritas dari grand strategy untuk pengembangan pariwisata ramah Muslim di Kota Pasuruan. Metode Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus. Data dikumpulkan melalui wawancara, observasi, dan analisis dokumen terkait pengembangan pariwisata di Kota Pasuruan. Analisis SWOT digunakan untuk mengidentifikasi faktor-faktor yang mendukung dan menghambat pengembangan pariwisata ramah Muslim. Temuan dari penelitian ini adalah Faktor Internal: Keberadaan potensi budaya, sejarah, dan sumber daya alam yang mendukung, namun terdapat tantangan seperti infrastruktur yang belum memadai. Faktor Eksternal: Dukungan pemerintah dan tren global yang menguntungkan pariwisata Muslim. Namun, isu keamanan dan toleransi masyarakat menjadi hambatan. Strategi: Diperlukannya branding Kota Pasuruan sebagai destinasi ramah Muslim, penyediaan fasilitas ibadah, dan promosi kuliner halal. Implikasi Penelitian ini memberikan panduan bagi pemerintah dan pemangku kepentingan dalam menyusun kebijakan pengembangan pariwisata yang lebih inklusif dan berkelanjutan, meningkatkan kesadaran masyarakat lokal tentang pentingnya pariwisata ramah Muslim untuk mendukung pertumbuhan ekonomi dan keberagaman.
Basic principles of investigation and appointment of measures to improve road safety in places / areas of concentration of traffic accidents on motor roads
Authors:   State Enterprise «National Institute of Infrastructure Development» (SE «NIDI»), Kyiv, Ukraine, Pyna Oleksandr , Belenchuk Olha ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine, Yefymenko Roman ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine
Published: November 2024

Introduction. The increase in accidents on highways leads to the emergence of places and areas of concentration of traffic accidents, which, in turn, require a detailed examination to identify possible causes of accidents, determine ways to eliminate the problem and ensure the safety of all road users. Problem statement. Traffic accidents in places / areas of their concentration are characterized by great severity of consequences, especially involving vulnerable road users, which requires a detailed analysis of each such place / area and the implementation of measures that will improve road safety. Purpose. Ensuring the safety of highways in places / areas of concentration of traffic accidents, reducing the severity of their consequences and ensuring comfortable conditions for road users.
Interchange systems. Interchanges. Used terminology
Authors:   State Enterprise «National Institute of Infrastructure Development» (SE «NIDI»), Kyiv, Ukraine, Tereshchenko Tetyana
Published: November 2024

Summary Introduction. In the introduction to the paper, the common questions concerning the assurance of the terminological congruence of national standards’ provisions, when being harmonized, with provisions of regional or international standards were outlined and also important sources of appropriate regional information in the sector of the transport infrastructure were identified. Problem statement. The issue of the paper concerns terminological matter in the domain of definitions for the interchange systems on motor roads peculiarly those constituting international traffic arteries and for elements of such systems. Purpose. The paper is aimed on the analysis of scientific sources and provisions of the EU regulatory acts to state the problems and develop the propositions concerning initial points for the enlargement of the structure of terminology relating the interchange systems on motor roads constituting international traffic arteries.
Alternative de-icing materials for prevention and elimination of winter slipperiness conditions on roads
Authors:   State Enterprise «National Institute of Infrastructure Development» (SE «NIDI»), Kyiv, Ukraine, Kharytonova Authors Nataliia , Yaroshchuk Olesia ,   State Enterprise «National Institute for Development Іnfrastructure» (SE «NIDI»), Kyiv, Ukraine
Published: November 2024

Introduction. The winter season is the most challenging for road maintenance and traffic management. Key factors affecting vehicle movement during winter include the presence of ice and snow-ice buildup, leading to a sharp decline int tyre grip, increased rolling resistance, and deteriorating surface evenness. Problem Statement. Addressing the prevention and elimination of ice on roads is a priority in all countries that experience negative temperatures annually. In our country, the salt from the “Artemsil” plant was traditionally used to combat winter slipperiness. However, the plant was destroyed at the beginning of the war, necessitating the search for alternative de-icing materials for roads and streets. Objective. To study the possibility of using alternative de-icing materials (industrial waste, local materials, etc.) for combating winter slipperiness on roads during the martial law period.
Modelos de democracia e a experiência latino-americana
Authors: Fernandes de Oliveira Marcelo
Published: November 2024

The objective of this article is to demonstrate the impossibilitity of using the classic models of democracy proposed by the theoretical currentes of transitology and consolidation for the analysis of contemporary democracy in Latin America. Next, we point out the construction and institutional design of the likely new democratic forms in the region that have been consolidated in the wake of the emergence of new charismatic leaders. We also seek to demonstrate how these new experiences, often called “neopopulist” in the literature, are contributing to the construction of new democratic practices that seem to be more adequate to the exercise of power in the social and economic conditions of vulnerability of the majority of the Latin American population, but departs considerably from the classical concept and practices of Democracy in the western world. Finally, we present a series of questions about the future of the democratic regime in Latin America in the light of ongoing experiences.