bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Virtual Reality Technology in English Teaching: Research on the Relationship between Learning Motivation and Learning Effectiveness
Authors: Di Wu
Published: April 2024

Virtual reality technology is an important direction of simulation technology, is a collection of simulation technology and computer graphics, human-computer interface technology, multimedia technology, sensing technology, network technology, and other technologies. It is a challenging cross-technology frontier discipline and research field. Virtual Reality (VR) technology mainly includes simulated environment, perception, natural skills and sensing devices. The simulated environment is a computer-generated, real-time dynamic three-dimensional stereo realistic image. This paper explores the transformative potential of virtual reality (VR) technology in English language teaching, focusing on the dynamic interplay between learning motivation and effectiveness. Through immersive VR environments, educators can cultivate increased engagement and foster language acquisition. A comprehensive literature review demonstrates the widespread adoption of VR technology in various fields and highlights its positive impact on learning outcomes. The proposed methodology advocates the seamless integration of VR technology with innovative pedagogical approaches to optimize English language instruction. By analyzing the relationship between learning motivation and effectiveness, this study sheds light on the nuanced dynamics of VR-enhanced learning in English language education.
Research on Road Geological Hazard Risk Assessment Model Based on Computational Deep Learning Algorithm Integrated With GIS
Authors: Zhichao Xu
Published: April 2024

This paper studies the geological disaster emergency command and management system based on geographic information system. This system is for the province, city, county land resources and other aspects of the comprehensive application, the realization of real-time information display, meteorological early warning, group measurement and mass prevention, monitoring and early warning, major disaster management, prevention plan, quick report processing, emergency investigation, emergency disposal, emergency consultation and other functions. Through the GSM network, the monitoring data is sent to the monitoring center through the mobile phone, and then the monitoring center processes, stores, displays and alarms the monitoring data. Finally, B/S structure is used to build a remote Web data service publishing platform, so that it can carry out real-time monitoring at any place, and improve the speed, efficiency and intuition of high-speed slope disaster. It is proved that the method has the advantages of stable operation, accurate data, fast transmission speed and high monitoring accuracy through the practical application of a highway project foundation pit slope monitoring.
Construction of a Computer-Aided Dual-Parameter Landslide Prediction Method
Authors: Weiping Lu
Published: April 2024

This study focuses on the typical geological region of granitic weathered soil in the hilly areas of southern China, integrating computer-assisted statistical methods and intelligent computing techniques to analyze geological disaster data and hourly precipitation data from 2016 to 2022. The research indicates that in the study area, geological disasters triggered by precipitation generally occur within 48 hours following the precipitation event. For 90% of the events, the average rainfall intensity is concentrated between 1.2 to 27.7 mm/h, with 72% having an average rainfall intensity of less than 10 mm/h, and only 13% exceeding 20 mm/h. The influence of prior precipitation mainly depends on the cumulative effect of effective rainfall over the previous 11 days. Based on these findings, this paper constructs a meteorological risk prediction model for geological disasters using two parameters: the average rainfall intensity (I) and the duration of rainfall (D). After comparing the prediction results with 62 test samples from 2022, it is noted that the method's TS score is superior to other prediction methods, significantly reducing the false alarm and missed alarm rates for meteorological forecasts in the granitic weathered soil geological region. Moreover, the computer implementation of this model demonstrates its efficiency and reliability in handling large-scale geological data, providing strong computational support for geological disaster risk assessment.
Mooring Safety Analysis of Cable Breaking Accident of a Very Large Ore Carrier under Extreme Windy Weather Based on Numerical Simulation
Authors: Xueyuan Zhu, 3Jie Zhang, Junpo Liu Qinglong Hao,
Published: April 2024

Mooring forces and their uniformity are important indexes used to ensure the safety of mooring systems. In this study, a process analysis for ship cable breaking accidents is conducted through numerical simulation based on OPTIMOOR to analyze the mooring conditions of a 300,000-ton very large ore carrier (VLOC) cable breaking accident under extreme windy weather. Numerical simulation of the cable force of the vessel mooring accident is performed by using the proposed method, which basically restores the cable breaking accident under the windy weather. On the basis of the accident analysis of the VLOC and the comparative test under the assumption, a reasonable conclusion is obtained by discussing mooring safety under two modes, namely, ‘preadjusting the cable’ and ‘not adjusting the cable’. The numerical simulation research methods and conclusions presented in this paper can provide reliable reference for ship engineering and Marine investigation.
Research on Ventilation Simulation Technology for Large Section Gas Tunnel Construction
Authors: Liang Suo
Published: April 2024

In order to solve the problem of gas overrun during the construction of large section gas tunnel, this paper takes the Baima Tunnel as the engineering background and uses fluent numerical simulation software to study the gas transport law of the tunnel under different ventilation methods. The results indicate that when the tunnel is excavated for 1200m, the forced ventilation method cannot effectively solve the problem of gas overrun on the heading face. After adopting the gallery ventilation method, the gas concentration on the heading face decreases to less than 1%, which effectively solved the problem of gas overrun on the heading face and provided assistance for the safe construction of the project..
A Systematic Study on the Application of Computer Big Data Analysis to Improve the Accuracy of Referee Decision in Sports Events
Authors: JunGuo Xin Liu,
Published: April 2024

Due to the complex working environment, long communication distance and high reliability requirements of referees in weightlifting events, this project uses TI's MSP430F5299 as its core processing chip. RS485 for long-distance communication. This system realizes a variety of judgments, arbitration supervision, system function setting, LED large screen display, PC data real-time transmission and other functions. Then, Fourier pyramid filtering method is used to extract human skeleton information, and SVM is used to classify human behavior to complete the construction of human behavior recognition model. The findings from the study indicate that the architectural approach detailed within this manuscript yields a higher degree of precision in identification, thereby offering judges an enhanced instrument for assessment.
Research on Physical Fitness Prediction Model of Athletes Based on Computer Deep Learning
Authors: Yunkun Cui
Published: April 2024

This project intends to study the sports monitoring system based on Android platform in combination with the current wide application of mobile terminal devices and the needs of athletes' daily sports monitoring. This project uses the currently popular head-mounted wireless headset as the main data acquisition terminal, and transmits and decodes data through the head-mounted cable and through the voice interface on the Android platform. Finally, these data are converted into the athletes' action data, and then the mobile terminal software evaluates the athletes' training effect. Simulation results show that the system improves the accuracy of sports training. Therefore, a low-cost athlete physical monitoring system is proposed in this paper, and its realization process is analyzed in detail.
Design of Rural E-commerce Logistics Information Management System Based on Spring Boot
Authors: Lichen Qiao Mei E Xie,
Published: April 2024

With the improvement of science and technology, the Internet has more and more affected people's daily life. People can stay at home and learn the latest information, movies, animations, music, etc. through the Internet. They can also buy goods, learn knowledge, and even find jobs through the Internet. It can be seen that the development of the Internet has brought great convenience to people's lives, and many industries have been born. As an emerging Internet industry, e-commerce has provided a large number of job opportunities for the market. Merchants can promote through e-commerce platforms, and customers can purchase goods through the platform. To ensure the normal and orderly flow of this business activity, efficient logistics systems are indispensable. With the rise of the concept of smart logistics, it not only requires employees to have professional theoretical knowledge and management service knowledge, but also professional technical knowledge such as electronic information technology. Designing an efficient logistics information management system requires cultivating smart logistics talents. E-commerce logistics, through information management systems, can not only achieve intelligent management and control of the logistics process, improve logistics efficiency and reduce logistics costs, but also enhance the automation and intelligence level of logistics, promoting the development of the logistics industry towards a more intelligent, efficient, and sustainable direction.
Research on the Teaching Resource Construction System of Computer VR Online Interactive Experiment Platform for Mechanical Engineering Graphics
Authors: Chenyu Li Jun Sun,
Published: April 2024

The introduction of three-dimensional design experiment teaching in engineering drawing teaching. The experimental platform of "network engineering drawing" is established, and the corresponding multimedia teaching software is developed using WebVR, ASP, database and other technologies. The 3D modeling method of the reducer is established by using UGNX and optimized accordingly. In order to solve the problem that UGNX mode introduces packet loss in the simulation system, the model and data are reconstructed separately. Using VisualStudio2019 as the development platform, the 3D modeling of the reducer is realized. The establishment of the engineering graphics design virtual simulation system helps enterprises to simulate operations before actual production and processing. It greatly improves production efficiency and reduces production costs.
Neural Networks in Neuroimaging: A Critical Analysis of Deep Learning Techniques for Brain Tumor Prediction
Authors: S. Muthuraj,
Published: April 2024

With the escalating incidence of brain tumors, early and accurate detection holds paramount importance for facilitating timely medical interventions and enhancing patient outcomes. Deep learning models have proven to be formidable tools for analyzing intricate medical data, particularly in the context of medical imaging. This review encompasses a meticulous examination of various deep learning architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and hybrid models, as they are employed across diverse medical imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET). The paper delves into the distinctive challenges inherent in brain tumor prediction, acknowledging factors such as inherent tumor variability and the necessity for models that are interpretable and applicable within clinical settings. Additionally, the review explores the fusion of multimodal data and the integration of transfer learning and domain adaptation techniques to enhance model generalization across diverse datasets. A critical evaluation of the strengths and limitations of current methodologies is provided, offering insights into potential avenues for future research. Moreover, this paper provides an extensive overview of deep learning methodologies applied to the prediction of brain tumors, exploring recent advancements and confronting challenges in this pivotal domain of medical research
Multivariate Approach for Texture Segmentation using Probabilistic Statistical Model
Authors: K. Naveen Kumar,
Published: April 2024

The analysis of the regions of the image is of the prerogatives in the fields of medical and global systems meant for location identification. This analysis is strongly associated with partitions of regions of interest such as segmentation. For an effective strategy of analyzing the regions of interest, texture of the image plays a major concern. The texture is generally characterized using signal processing methods namely Discrete Cosine Transformation coefficients and their specific insights leading to feature vector selection. Further, to identify regions, a statistical model needs to be identified for the feature matrix vector and thus make use of Gaussian mixture model with extensions. The Expectation Maximization approach is used, and performance is assessed by experimenting with random images from the Brodatz data store domain. Performance measurements for texture segmentation that can be attributed are Global Cons. Error (GC), Prob. Rand. Index (PR) and Variation of data (VA). These are determined alongside the confusion matrix. To assess the improvement, a comparison was made with other existing models and showed better. The algorithms will be exceptionally helpful for clinical analysis and in radio navigation map systems.
Obstructive Sleep Apnea Syndrome Identification Using CNN-LSTM Hybrid Model
Authors: Prasanna Kulkarni
Published: April 2024

Obstructive Sleep Apnea (OSA) is a common sleep problem. It causes breathing issues during sleep. This disturbs oxygen intake and sleep patterns. Detecting OSA early and accurately is important for treatment. In our study, we look into using advanced deep learning for OSA detection. We focus on Long Short-Term Memory (LSTM) networks, Convolutional Neural Networks (CNN), and a new combined method. We also check the impact of different functions and methods on OSA detection accuracy. Our tests reveal some interesting facts. The Nadam optimizer gives the best OSA detection at 95.22% accuracy. The combined CNN and LSTM method achieves 95.38% accuracy. Using LSTM with the sigmoid function, we get a 93.80% accuracy. These results stress the importance of choosing suitable models and methods for OSA detection. Our study helps improve diagnostic tools for OSA. These findings can aid in early and improved treatment of OSA, giving people a better quality of life and health.
Organization-Wide Continuous Learning (OWCL): Personalized AI Chatbots for Effective Post-Training Knowledge Retention
Authors: Manoj Kumar Manmathan
Published: April 2024

This research paper proposes the Organization-wide Continuous Learning (OWCL) system, employing AI chatbots to enhance post-training follow-up activities for employee knowledge retention. Integrating various functionalities (for continuous learning) and leveraging very large language models (vLLM), OWCL provides personalized learning through spaced repetition of topics, adaptive learning, gamification, etc. Here, we discuss a prototype built on the Gemini API, which demonstrated impressive accuracy (over 94%) in core functionalities like question generation and answer evaluation, showcasing the potential of vLLM to revolutionize post-training activities viz recall, revision, and application. With an overall accuracy of 85%, OWCL presents a balanced and practical approach, harnessing cutting-edge technologies while remaining accessible, resource-efficient, and reasonably fast, ensuring both cost-effectiveness and swift implementation.
The Effect of Electromagnetic Waves of the Terahertz Range on the Frequency of Molecular Oxygen (129.0 Ghz) On the Processes of Lipid Peroxidation in Experimental Animals Under Chronic Stress
Authors: Et.al Victoria Zaborova
Published: April 2024

The aim of this scientific research is to study the effect of electromagnetic waves of the terahertz range on the frequency of molecular oxygen (129.0 GHz) on the processes of lipid peroxidation in experimental animals under chronic stress.
Overtraining is a psychological and/or physiological condition that manifests itself as impairment in athletic performance. This condition may be based on prolonged competitive stress and stressful psychological factors that can lead to the activation of lipid peroxidation processes (LPO). Moreover, the activation of the processes of lipoperoxidation is the main pathogenetic link of many socially significant diseases, especially cardiovascular disease. These circumstances require the development of modern and relevant methods of prevention and treatment of post-stress disorders. In the last ten years, a new method has been used to assess the effect of stress on the pro-oxidant activity of blood plasma and the concentration of antioxidants by exposure to electromagnetic radiation. In this paper electromagnetic waves of terahertz range, at frequencies of active cellular metabolites, were used to correct the processes of lipoperoxidation (LPO) changes at chronic stress. The innovative device "Оrbit" was used to emit Terahertz (THz) radiation at frequencies of molecular oxygen 129,0 GHz in fractional mode. From the marked activation of lipid peroxidation processes and inhibition of antioxidant activity of blood, it is possible to observe a partial normalization, in the conditions of long-term immobilization or through cold water swimming of animals (rats), by using THz waves 5 days for 15 minutes; moreover, if the same procedure was applied for 30 minutes, a complete normalization of lipid peroxidation and antioxidant levels in the blood of stressed animals occurred. The study shows the high efficiency and expediency of using the device for terahertz therapy "Orbit" in the correction of altered processes of lipid peroxidation and it encourages future application for humans.
DOI: https://doi.org/10.52783/pst.289
Dimensioning Method for PVT Collectors as Heat Source of Heat Pumps for Residential Buildings
Authors: Timilsina Krishna , Chhugani Bharat , Modi Harshvadan , Pärisch Peter
Published: April 2024

Photovoltaic-thermal (PVT) collectors are an emerging technology that is increasingly being used as a heat source for heat pump systems in residential buildings. However, a suitable standard methodology for sizing the PVT collectors for these systems is still not available. This paper initially provides a framework for the sizing of a PVT-heat pump system for small houses according to the German guideline VDI 4645. The dimensioning method of VDI 4645 and the sizing method for PVT collectors are incorporated in a web-based tool that is aimed to assist planners (or homeowners) during the preliminary planning of a heat pump system in single and multi-family houses. The methodology also covers the planning of systems with backup/additional heaters (e.g. gas boiler and heating rod), e.g. for buildings with limited roof areas for PVT installations. Different heat pump operation modes, i.e. monovalent, bivalent-alternative, or bivalent-parallel are also considered. A model of the IEA SHC Task44 SFH100, an existing single-family house with radiators, has been chosen as an example case to demonstrate the methodology. For the evaluation of the performance of the designed system, yearly simulations of the system are done in TRNSYS. The results show that the developed methodology provides plausible sizes for the example case. However, further development and validation are necessary to provide flexibility in system dimensioning.
Decisões tradutórias no romance Die undankbare Fremde de de Irena Brežná
Authors: Mathias Dionei
Published: April 2024

Este artigo tem por objetivo discutir a representação ficcional de concepções tradutórias no romance Die undankbare Fremde de Irena Brežná. Publicado em 2012 e escrito em alemão, o romance de Brežná apresenta uma protagonista imigrante que trabalha como intérprete, na Suíça. Desse modo, o artigo está dividido em duas partes: a primeira apresenta uma discussão teórica que recupera alguns instrumentos analíticos centrais para a proposta deste artigo, a segunda volta sua atenção para a análise da protagonista. Entre expectativas externas e posicionamentos individuais, ela apresenta um conceito diferenciado de tradução, caracterizado pelo princípio de agência.
Aspectos axiológicos e(m) vivências na escola: representações verbo-visuais dialogizadas por alunos do 9º ano do interior da Bahia
Authors: De Castro Modl Fernanda , Pessoa Caires Pereira Maria do Alívio , Bicalho Ribeiro Pollyanne
Published: April 2024

Este artigo visa analisar modos de valorar o estar na escola em enunciados produzidos por alunos do 9º ano do ensino fundamental de uma escola municipal do interior baiano. Interessa-nos, especialmente, compreender como os sujeitos semiotizam, em seus enunciados, o que consideram o evento mais marcante de suas experiências ao longo dos anos finais do ensino fundamental.  Como referencial teórico, partimos de pressupostos da Análise Dialógica do Discurso, particularmente, operamos com a dimensão axiológica para compreendermos as avaliações empreendidas pelos alunos, bem como dimensionarmos a escola como território sociossimbólico a partir de discussões advindas da Geografia Cultural. A análise dos dados registra que, ao acessar os dizeres discentes sobre si e suas experiências na escola, bem como compreender os significados que eles atribuíram a essa travessia, o contexto escolar é (re)(des)coberto, suscitando e mobilizando distintos centros de valor, para tensionar uma realidade que é semiotizada em horizontes apreciativos de experiências.
Van İli’nde Astragalus L. Cinsine Ait Bazı Endemik Taksonların Taksonomik Özellikleri ve Dağılışları
Authors: Genli Gülistan , Kaya Tekbudak İlhan , Mükemre Muzaffer
Published: April 2024

Türkiye’de yayılış gösteren Astragalus cinsine ait taksonların çoğu benzer morfolojik özellikler gösterdiği için, bazı taksonların tür ve tür altı seviyesine kadar teşhis edilmesinde zorluk çekilmektedir. Yurdumuz florası ile ilgili ilk önemli yayın olan “Flora of Turkey and the East Aegean Islands” yazımı tamamlandıktan sonraki yıllarda toplanan çok sayıda materyal teşhis edilirken karşılaşılan sorunlar sonucu bazı cinslerdeki problemler dikkat çekmiştir. Bu cinslerin başında benzer morfolojik özellikler gösteren Astragalus yer almaktadır (Davis, 1975). Astragalus cinsine ait taksonlar morfolojik olarak birbirine benzediği için yanlış teşhis edilmektedir. Bundan dolayı bu çalışmada, Van İlin’nde toplanan 14 endemik taksonun morfolojik bazı özellikleri incelenerek karşılaştırıldı. Ayrıca morfolojik karakterler esas alınarak 14 endemik türün teşhis anahtarı oluşturulmuş ve taksonların morfolojik özellikleri verilmiştir.
Hamur (Ağrı) Yöresinde Yetişen Alıç (Crataeugus spp.) Türlerinin Tespiti ve Ümitvar Genotiplerin Seçimi
Authors: Tuğrul Yasemin , Gülsoy Ersin
Published: April 2024

Bu çalışma 2020 ve 2021 yılları arasında Ağrı ilinin Hamur ilçesinde yürütülmüştür. Bu çalışmada yörede doğal olarak yetişen alıç (Crataegus spp.) popülasyonu içerisinden bitki ve meyve özellikleri bakımından üstün özelliklere sahip alıç genotiplerinin seçilmesi amaçlanmıştır. Çalışma kapsamında 54 genotipten meyve örneği alınmış, genotiplerin tür teşhisi yapılarak morfolojik ve pomolojik özellikleri incelenmiştir. Çalışma bölgesinde Crataegus monogyna var. lasiocarpa (Lange) K.I.Chr. (2 genotip) Crataegus pentagyna Waldst. & Kit. ex Willd., (22 genotip) Crataegus azarolus (13 genotip) ,Crataegus azarolus var. azarolus (4 genotip) ve Crataegus orientalis subsp. szovitsii (Pojark.) K.I.Chr (13 genotip) olmak üzere toplam 5 alıç türü tespit edilmiştir. İki yıl süreyle incelenen genotipler içerisinde yapılan tartılı derecelendirme sonucunda 11 genotip ümitvar olarak seçilmiştir. Seçilen genotiplerde meyve ağırlığı 2.03-2.59 g, meyve eni 12.19 - 17.15 mm, meyve boyu 11.45 - 15.12 mm, meyve eti kalınlığı 3.53-4.98 mm, meyve eti oranı % 68.26 - 79.64, çekirdek ağırlığı 0.46 - 0.67 g, çekirdek sayısı 3 - 4 adet/meyve, suda çözünebilir kuru madde (SÇKM) %11.00 - 17.25, pH 3.70 - 4.02 ve titre edilebilir asitlik %1.01 - 2.39 arasında tespit edilmiştir. Araştırma sonuçları, bölgede farklı türlere ait üstün nitelikli zengin bir alıç popülasyonunun bulunduğunu göstermektedir.
A Study On Employee Retention And Its Impact On Organizational Performance: Motivation Plays A Moderator Role With Reference To Private Sector Banks In Hyderabad
Authors: Manthena Sri Ranga Lakshmi , Ravi Dr Jaladi
Published: April 2024

Employee’s plays very important role in organization for their achievements and success or failure of its performance. In current scenario retaining talented employees in organization is the main task for organizations for their growth and sustainability. Purpose of the Study: The main purpose of this study is to find that motivation impact on employees to retain in the organization and its impact on organizational performance. Design/methodology/approach: The study was developed a qualitative research survey and collected the information from private sector banks employees the respondents concluded up with only 246 sample after clarifying samples, multi regression analysis is to find the impact on the employee retention and organizational performance and for it analyse. Findings: The evidence discovered that motivation plays significant role in employee retention and it have high impact on employee to retain in organization and increase its performance. And there is a positive relation between motivation and employee retention. But it concerned only to low level employees and middle level and top-level employees are limited to this study. Practical implications: This study should help the organizations to retain employees through motivational strategies to increase their performance. Originality of the study: Foremost the study discovered that the employee retention is the major challenge faced by organizations and it is difficult to retain talented employees in organization to increase their performance, secondly it started working on motivating employees in various aspects to retain them and check its impact on performance and to retain them, the result is slightly change in behaviour of employees and retaining in the organization and increasing the performance, finally it proving that motivation plays very vital role in retaining the employees in organization and there is a positive relation between them.
Charting Sustainable Paths: The Influence Of Sustainable Leadership And Green Innovation On Sustainable Performance In Higher Education Institutions
Authors: Gao Dr. Hu , Tsai Dr. Kuan-chun
Published: April 2024

This study aims to investigate the contribution of sustainable leadership and green innovation towards the enhancement of sustainability in Higher Education Institutions (HEIs) in Shaanxi, China, through the lens of the Resource-Based View (RBV) theory. The study employed a structural equation modelling (SEM) approach to examine the relationships among the variables simultaneously. Online questionnaires were collected from 505 faculty members across ten universities in Shaanxi, China. The SEM analysis revealed that sustainable leadership plays a significant role in boosting HEIs' sustainable performance, both directly and indirectly by fostering green innovation. The results also showed a synergistic effect of sustainable leadership and green innovation in promoting sustainability within HEIs. This study provides valuable theoretical contributions to the RBV theory and practical implications for HEI administrators and educators. The findings suggest that cultivating sustainable leadership skills and encouraging innovative green practices can lead to improved institutional sustainability outcomes.
Benefits Under The Social Security Code, 2020 To The Workers Of Medium-Scale Enterprises
Authors: Tamang Suresh , Das Dr. Pradip Kumar
Published: April 2024

The implementation of the Social Security Code of 2020 represents a substantial advancement in the direction of furnishing all workers, including those engaged in Medium Scale Enterprises (MSEs), with comprehensive welfare provisions. This article examines the advantages bestowed by the Social Security Code, 2020, with a particular focus on its application to the personnel of Medium Scale Enterprises. By conducting a thorough analysis of the provisions outlined in the code, this study aims to elucidate the tangible advantages conferred upon personnel employed in this particular sector of the economy. By conducting an analysis of statutory programmes including maternity benefits, health insurance, provident funds, and pensions, this paper underscores the profound capacity of the Social Security Code to enhance the socioeconomic stability of employees in Medium Scale Enterprises. Moreover, an assessment is conducted to determine how these advantages affect the competitiveness, productivity, and general well-being of Medium Scale Enterprises in the current economic environment. It highlights the significance of inclusive policy measures for sustainable and equitable development by elucidating the intricate nuances of the Social Security Code, 2020. It facilitates a deeper understanding of the dynamic regulatory structure that controls social security in India.
Relationship between staff characteristics, motivation and financial incentive upon performance of maternal and child health workers in public health centres, Gianyar District
Authors: Beratha Oka , Wirakusuma Ida Bagus , Sudibya I Gede Adnyana
Published: April 2024

Maternal and child health (MCH) program plays a vital role in improving mother and child health. The success of such a program depends on the quality of service obtained from health care providers. The MCH program coverage in Gianyar District is still below the national target. This study aims to determine the relationship between staff characteristics, motivation and financial incentive upon the performance of MCH workers in public health care centres. The study design was cross-sectional with sample of 70 people. Samples were selected using a systematic random sampling. The independent variables were age, duration of employment, education, training, motivation and financial incentive while the dependent variable was the official performance. Data was collected using interview and observation. Data were analysed using univariate, bivariate (chi-square) and multivariate (logistic regression) analysis. The majority of respondents 41 (58.6%) were lower age, shorter tenure 39 (55.7%), college-educated 57 (81.4%), 36 (51.4%) had received training, 42 (60.0%) of participants demonstrated low motivation, 47 (60.7%) were influenced by amount of financial incentives and high performance staff is only 40 (57.1%). From the bivariate analysis, there was a significant association between training [OR=2.88; 95%CI: 1.08-7.67], motivation [OR=6.77; 95%CI: 2.15-21.29] and financial incentives [OR=4.09; 95%CI: 1.30-12.85] and staff performance. From the multivariate analysis, only training [OR=6.11; 95%CI: 1.61-23.23], motivation [OR=7.48; 95%CI: 1.81-30.93] and financial incentives [OR=5.09; 95%CI: 1.12-23.21) were found to have significant association. Based on study findings, there is a need to increase incentive and further staff training to increase staff motivation to improve the overall performance output.
Antenatal care behavior as a risk factor of nutritional anemia among pregnant women at South Denpasar II Public Health Centre, 2012
Authors: Hendrayani Made Dwi , Sawitri Anak Agung Sagung , Karmaya I Nyoman Mangku
Published: April 2024

The South Denpasar II Public Health Centre has the highest reported nutritional anemia among pregnant women (57,4%) in the year 2011-2012. Nutritional anemia increased the risk of maternal and perinatal mortality, prematurity and low birth weight. This case control study aimed to identify the relationship between antenatal care (ANC) behaviour and nutritional anemia. The study involved 69 cases and 69 controls which taken from pregnant women records April to August 2012 by using a quota sampling. Cases were those with Hb Sahli levels <11 gr/dl, whereas those with Hb Sahli levels ≥11 were used as controls. Demographic characteristics, gestational age, parity, IUD use and ANC patterns were obtained by structured interviews and observations. ANC patterns which was evaluated from frequency and time of ANC and Fe tablets consumption were categorised as sufficient and insufficient. Data were analysed using univariate, bivariate (crude OR) and logistic regression for adjusted OR. Most women were aged 20-35 and had a low level of education, with gestational age >1st trimester, a parity of 1-3, and time window between births <2 years. Gestational age >1st trimester had 5.17 greater risk of nutritional anemia (95%CI: 1.66-16.06). Insufficient ANC behaviour increased risk of nutritional anemia as many as 23.29 (95%CI: 7.49-72.33) and 9.85 for insufficient Fe tablets consumption (95%CI: 3.27-29.68). Most of these women consumed less than <30 Fe tablets in the last month. Age, time between births, parity, family income, level of education, nutritional status and history of IUD use were proven not as risk factors. An early approach to newly couples, sekaa teruna teruni and senior high school students is needed to be targeted in regard to information of ANC. A more intensive surveillance is also needed to monitor Fe tablets consumption.
Tantangan dalam upaya penemuan anak usia di bawah usia lima tahun dengan gizi buruk
Authors: Wirawan Dewa Nyoman
Published: April 2024

Satu-satunya jalan keluar untuk mengatasi tantangan ini adalah mencari secara aktif dari rumah ke rumah dan difokuskan pada rumah tangga miskin yang datanya saat ini telah tersedia di seluruh Indonesia dalam data base Program Perlindungan Sosial 2011. Dengan duduk bersama, kesulitan pendanaan dalam memberikan insentif kepada kader untuk menjalankan tugas kunjungan dari rumah ke rumah pasti bisa dicarikan jalan keluarnya.
Iron Folate Consumption, Energy and Iron Adequacy Level Associated with Prevalence of Anaemia among Pregnant Women in Jember
Authors: Setyaningsih Wahyu , Ani Luh Seri , Utami Ni Wayan Arya
Published: April 2024

Background and purpose: Anaemia among pregnant women is still being a public health problem in Indonesia. This study aimed to determine association between iron folate consumption, energy and iron adequacy level with prevalence of anaemia among pregnant women.
Methods: This was a cross-sectional study conducted in eight community health centers in Jember, East Java with 128 pregnant women selected using stratified random sampling from pregnant women’s cohort in each primary health center. Data were collected from interviews using semi quantitative food frequency questionnaire, chronic energy deficiency status by measuring the middle upper arm circumference (MUAC), and data of haemoglobin levels with Easy Touch GCHb (Bioptic Technology Inc., China). Data were analysed bivariate by chi-square and multivariate by logistic regression.
Results: This study found that the prevalence of anaemia among pregnant women in Jember was 60.16% (95%CI: 51.76-68.56). Multivariate analysis resulted that variables which significantly reduce risk of anaemia among pregnant women were: household income (adjusted OR=0.09; 95%CI: 0.03-0.51), iron folate consumption (adjusted OR=0.16; 95%CI: 0.04-0.69), adequacy of energy (adjusted OR=0.06; 95%CI: 0.01-0.33), and iron adequacy level (adjusted OR=0.11; 95%CI: 0.01-0.90).
Conclusion: Household income, intake food with high energy and iron, and also iron folate consumption significantly reduced the risk of anaemia among pregnant women.
Household Smoke Exposure as Risk Factor of Low Birth Weight among Infants in Gianyar
Authors: Lestari Kadek Susiana Dwi , Putra I Wayan Gede Artawan Eka , Karmaya I Nyoman Mangku
Published: April 2024

Background and purpose: The Bali Provincial Health Department reported that in 2013, 24 per 1000 live births were underweight, with the regency of Gianyar ranked 4th the highest (31 per 1000 births). Data from Riskesdas 2010 indicated that 31.0% of individuals 15 years and over smoked, 68.1% of them reported smoking in the household. This study aimed to investigate the relationship between household smoke exposure, pregnant women and low birth weight (LBW) in Gianyar.
Methods: This study was a case control where low birth weight as a case and birth with normal weight as a control. Study sample was 116, consisting of 58 cases and 58 controls. Dependent variables were low birth weight, independent variables were smoke exposure. Data was obtained by interviewing the mothers, and secondary data was collected from community health centre records. Data was analysed using bivariate and multivariate analysis.
Results: Bivariate analysis indicated that OR of 6.370 (95%CI: 2.836- 14.309) for exposure to husbands smoke and an OR of household smoke exposure was 6.577 (95%CI: 2.894-14.948). Multivariate analysis indicated that adjusted OR of exposure to husbands smoke was 7.479 (95%CI: 2.058-27.175), adjusted OR exposure to household smoke was 9.002 (95%CI: 9.002-33.286), and adjusted OR combined exposure to smoke from both husband and household members was 9.333 (95%CI: 3.417-26.201).
Conclusion: Household smoke exposure significantly increased risk of low birth weight among infants in the regency of Gianyar.
Evaluation of Work Performance Two Types of Community Tuberculosis Workers in Gianyar Regency
Authors: Suputra Anak Agung Gede , Putra I Wayan Gede Artawan Eka , Ani Luh Seri
Published: April 2024

Background and purpose: One of the strategies adopted to improve coverage of TB patients (BTA+) in Gianyar Regency is to involve the pakraman (desa adat) TB cadres and the regular (PPTI) TB cadres with four tasks in order to help health care workers to trace and find tuberculosis suspect patients. The purpose of this study was to evaluate work performance between two types of community TB cadres in Gianyar Regency.
Methods: This study was an observational research using secondary data of cadres work reports and interview to study participants to understand cadres characteristics and health workers supervision. Numbers of participants were all village TB cadres namely 29 pakraman and 88 regular TB cadres located in Gianyar Regency. Data collection was carried out using questionnaires and observation sheets. Univariate, bivariate and multivariate analysis was conducted.
Results: The result shown that work performance of pakraman TB cadres was statistically better than regular TB cadres (adjusted RP=6.1; 95%CI: 3.3-11.2). Better work performance of pakraman TB cadres was found in all four tasks of cadres namely helping education (adjusted RP=7.8; 95%CI: 4.2-14.2), finding tuberculosis suspects (adjusted RP=7.4; 95%CI: 1.7-33.1), tracing of defaulters TB suspects (adjusted RP=17.1; 95%CI: 1.8-166.4) and tracing loss of follow up TB patients (adjusted RP=3.8x108; 95%CI: (1.6-8.9)x108).
Conclusion: Work performance of pakraman TB cadres was better than regular TB cadres in all four tasks.
Mengembalikan Kondisi Bali Menjadi Bebas Rabies
Authors: Wirawan Dewa Nyoman
Published: April 2024

Upaya-upaya yang bisa ditempuh untuk kembali pada kondisi Bali sebelum tahun 2008 yaitu bebas rabies, antara lain seperti berikut. 1) Melakukan vaksinasi rutin setiap tahun pada sekurangkurangnya 70% dari populasi anjing. Hal ini juga akan meningkatkan citra Bali di manca negara sehingga turis tidak merasa khawatir untuk datang ke Bali. 2) Karena vaksinasi anjing harus dilakukan setiap tahun, maka agar pelaksanaannya bisa berkelanjutan dan bisa mencapai cakupan 70%, perlu dibentuk Tim Rabies Tingkat Desa. 3) Tim Rabies Tingkat Desa perlu dilatih dalam hal: a) keterampilan pendekatan kepada masyarakat, b) pemetaan jumlah anjing di masing-masing desa, c) teknik menangkap anjing yang sulit ditangkap, d) pemberian tanda yang baik pada anjing sesudah diberikan vaksinasi, e) teknik surveilans, f) sistem pencatatan dan pelaporan serta g) cara-cara pertolongan pertama yang benar bila ada anggota masyarakat yang digigit anjing. 4) Sebelum dilakukan pada semua desa, diperlukan pelatihan di 3-4 desa sebagai percontohan. Kelemahan dan kekurangan dalam percontohan kemudian disempurnakan sebelum diterapkan pada jumlah desa yang lebih banyak. 5) Pelatihan hendaknya dilaksanakan oleh pelatih profesional yang telah berpengalaman dalam bidang pemberdayaan masyarakat, pelatihan partisipatif dan penanggulangan rabies. 6) Penanggulangan rabies di masing-masing desa hendaknya dirancang dalam penyusunan Rencana Pembangunan Jangka Menengah Desa (RPJM Desa) dan Rencana Kerja Pemerintah Desa (RKP Desa) dan insentif untuk Tim Rabies Tingkat Desa dianggarkan dalam Anggaran Pendapatan dan Belanja Desa (APB Desa) yang dananya bersumber dari Alokasi Dana Desa (ADD). 7) Tata laksana penanggulangan rabies pada manusia (pengadaan VAR, keberlanjutan rabies center, pelatihan-pelatihan kepada petugas kesehatan serta kegiatan lainnya) yang telah dilaksanakan selama ini hendaknya tetap dipertahankan atau disempurnakan.
Duration of Exclusive Breastfeeding, Housing and Environmental Conditions as Risk Factors of Pneumonia among Under–Five Children at Public Health Center II South Denpasar
Authors: Yudiastuti Ni Kadek Ethi , Sawitri Anak Agung Sagung , Wirawan Dewa Nyoman
Published: April 2024

Background and purpose: In 2012, the South Denpasar II Public Health Center (PHC) had the 2nd highest percentage of reported cases of pneumonia (15.9%). This study aims to determine duration of exclusive breastfeeding, housing and environment conditions as risk factors of pneumonia among under-five children.
Methods: The study design was a case control. The cases were 60 under-five children with pneumonia and recorded in the PHC register between 1 January 2014 to 31 March 2015. Controls were 60 healthy under-five children visiting the PHC during study. Interviews with parents were conducted using questionnaires, and observation carried out using specific guidelines. Measurements of house physical environment variables were conducted using hygrometer, lux meter and roll meter. Data were analyzed using Stata SE 12.1.
Results: Characteristics of mothers were comparable in terms of age, education, and income; while the children were comparable in terms of age and gender. Risk factors found to increase pneumonia were duration of exclusive breastfeeding <2 months with OR=5.24 (95%CI: 1.96-14.01), no Hib and pneumococcal immunization with OR=3.68 (95%CI: 1.11-12.17), access to natural lighting with OR=2.72 (95%CI: 1.05-7.00) and house density with OR=3.11 (95%CI: 1.18-8.19). Frequency of acute respiratory tract infection (ARTI) >1 time in 6 months with OR=10.14 (95%CI: 3.67-28.02) were also found to be risk factors.
Conclusion: Duration of exclusive breastfeeding, lack of natural lighting and house density were risk factors for pneumonia among under-five children.
Predisposing, Supporting and Driving Factors for Utilization of Adolescent Care Health Services in South Kuta
Authors: Winangsih Rini , Kurniati Desak Putu Yuli , Duarsa Dyah Pradnyaparamita
Published: April 2024

Background and purpose: Targetted adolescent health services (PKPR) at the South Kuta Health Center have been offered since 2007. However, these are rarely accessed (less than 5 visits per month) whereas adolescent health incidents/concerns such as abortion, HIV/AIDS and drug use are reported to increase. This study aimed to determine the predisposition, supporting and reinforcing factors of PKPR utilization.
Methods: The study was qualitative and conducted among 27 students in four sessions of focus group discussions, as well as indepth interviews with four key informants. Data collected consisted of knowledge, attitudes and views of participants on PKPR facilities. Thematic analysis was conducted to identify predisposition, supporting and reinforcing PKPR utilization factors.
Results: The study participants intimated that their knowledge about PKPR was low, although they recognised the benefits of such service. They also acknowledged that the quality of facilities/infrastructure were poor, the IEC materials were interesting but the deliverance was unclear and the attitude of providers was unfriendly. Funds, inappropriate clinic hours and labor provided were minimal. Schools, health centers and the government health office strongly supported PKPR activities and the role of peer counselors. School health programs also encouraged students to take advantage of PKPR.
Conclusion: Local schools, health centers and the government health office were supportive of PKPR activities, however the student’s knowledge about PKPR was low because coverage of PKPR was very limited.
Difference in Satisfaction Levels of National Health Insurance Patients at Four Types of First Level Health Facilities
Authors: Widiastuti Ni Made , Nopiyani Ni Made Sri , Karmaya I Nyoman Mangku
Published: April 2024

Backgrounds and purpose: The road map of the National Health Insurance Scheme (JKN) aims to ensure that 75% of patients are satisfied with the quality of health facilities. This study was designed to determine differences in patients’ satisfaction in general, as well as at each individual first-level health facility (FKTP) and based on dimensions of quality.
Methods: Study was a cross-sectional sample survey with the respondents of 148 JKN patients selected consecutively from 4 types of FKTP. A total of 4 health centers, 3 government clinics, 4 private clinics and 4 general practitioners randomly selected from 11 health centers, 7 government clinics, 13 private clinics and 70 general practitioners in the city of Denpasar. Data were collected through interviews over March-April 2015 in each health facility using questionnaires by trained interviewers. Data were analyzed by univariate, bivariate and multivariate.
Results: A total of 69,59% of JKN patients said that they were satisfied with the quality of FKTP services. This figure was lower than the target of JKN i.e. 75%. The highest satisfaction (90,00%) was in the general practitioners while lowest was in the private clinics (47,46%). Based on the dimensions of quality, JKN patients’ satisfaction in the four FKTPs was significantly different (p=0,008) in physical and empathic dimensions (p=0,013). In the multivariate analysis, variables found related to the satisfaction of the respondents were the FKTP of general practitioners (adjusted PR=1,91; 95%CI: 1,05-3,47) and health centers (adjusted PR=1,76; 95%CI: 1,04-2,97).
Conclusion: In general, the patients’ satisfaction rate was still lower than the target of JKN and when viewed per care facilities, the highest satisfaction was found in FKTP of general practitioners and health centers.