bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining the relationship between business intelligence adoption and marketing effectiveness: The mediating role of customer satisfaction
Authors: Alwaely Suad Abdalkareem , Abusalma Abdallah , Alwreikat Ahmad A.M. , Al-Shakri Kadri S. , Ahmad Ahmad Y. A. Bani , Alkhawaldeh Bashar Younis
Published: April 2024

This study investigates the relationship between business intelligence adoption (Business Intelligence (BI), Data Analysis and Reporting (DAR), Business Process Integration (BPI), and Continuous Improvement and Innovation (CII)) and marketing effectiveness in the Jordanian telecom industry. It specifically examines the mediating role of customer satisfaction in this relationship. A survey design method using the cross-sectional survey was utilized during the research process, involving quantification. The data was collected from 285 employees across the Jordanian telecom sector via electronic response forms. As the analysis's method, the partial least squares structural equation modeling (PLS-SEM) was utilized. The results, which showed BI, DAR and CII to have a positive direct effect on marketing effectiveness, whilst BPI displayed a negative direct impact, were compelling. But clear signs of positive influence on CS by the four dimensions of BI (BI, DAR, BPI, and CII) have also been observed, and this result has been proved to be a mediator between them and business effectiveness. The above study is a source of invaluable learning for the managers of telecom companies in Jordan is a tool that managers in the Jordanian telecom industry will greatly benefit from in the sense that it brings out all the importance of integrating BI, DAR, BPI, and CII practices that emphasize high quality customer service. By properly utilizing these assets and up-to-the-market, companies can improve the effectiveness of marketing and the whole organizational efficiency. The study enhances the existing theory of the interrelationships between the adoption of business intelligence, customer satisfaction, and marketing power which can be viewed from both resource-based view (RBV) theory and expectation-based theory (EDT). It affirms an idea that the RBV was rooted in that when organizational assets are valuable, firms have a competitive advantage and better performance. Also, an EDT states that customer satisfaction increases if the expectations of customers are met. Innovation - The essay is innovative and takes an original angle to explore the multifaceted interconnectivity among business intelligence adoption, customer satisfaction, and marketing effectiveness in the framework of the Jordanian telecom industry. It highlights the steps to customer satisfaction problem solutions and the caution comes with process integration efforts, hence, helping to arrive at a full comprehension of the aspirations for organizational performance in the field.
The effect of cloud computing on accounting information quality: Empirical study in Saudia Arabia
Authors: Musa Asaad Mubarak Hussien
Published: April 2024

This study aimed to investigate the effect of cloud computing (CC) and company size on accounting information quality. Data were collected using an online questionnaire which followed the Technology Acceptance Model (TAM). The research sample consisted of 178 respondents from accountants and audit offices in the Emirate of Riyadh. The study adopted a Smart PLS in hypothesis testing. The study's results indicated just a positive relationship between perceived benefit and quality of accounting Information. In addition, there was a clear influence of company size on the relationship between CC and accounting information quality.
Review on Mimusops elengi Linn: Phytochemical properties and Pharmacological Action as Medicinal plant and its importance
Authors: Dnyanesh Gharpankar Pradnya , V. Kadam Prasad , S. Kamble Nutan
Published: April 2024

Herbal medicine is becoming more popular in both developing and developed countries due to its natural origins and lack of side effects. Medicinal plants are a valuable and inexpensive source of unique phytochemicals, which are frequently used in the development of drugs to treat a variety of diseases. The goal of the current review is to highlight the numerous ethnobotanical and traditional uses as well as the latest pharmacological and phytochemical investigations on Mimusops elengi, also known as Spanish cherry and Bakul and a member of the Sapotaceae family. It is a huge ornamental evergreen tree that is grown in gardens in India primarily for the benefit of its fragrant blossoms. The bark, fruit, and seeds of Mimusops elengi have been used in traditional Indian medicine (ayurveda) and other folk medicine systems for their astringent, tonic, and febrifuge effects. Chemical analyses have revealed that the following substances are found in bark: tannin, some caoutchoue, wax, starch, and ash; flowering plants have volatile oils; and seeds contain fixed fatty oils. Preclinical research has revealed that Mimusops elengi or some of its phytochemicals have analgesic, antibiotic, antihyperlipidemic, anti-inflammatory, antimicrobial, antioxidant, antipyretic, cytotoxic, and antimicrobial properties.
Word Spectral Visualization Base on Fruchterman-Reingold Optimized ForceAtlas2
Authors: Rui Huang,
Published: April 2024

This article presents a visualization technique employing the BERT model similarity lexicon and delves into the method of picking and enhancing layout algorithms when generating similar term lexicon exhibitions. In a bid to achieve superior visualization outcomes, two distinct layout algorithms, namely ForceAtlas2 and Fruchterman-Reingold, are utilized to leverage their individual merits and augment visualization quality. The similar term lexicon's visual depiction is accomplished using the ForceAtlas2 and Fruchterman-Reingold layout algorithms, with the amalgamation of ForceAtlas2's initial layout and Fruchterman-Reingold's fine-tuning resulting in a presentation map of the similar term lexicon with a superior visualization impact. This tool equips us with an efficient method to profoundly interpret the semantic relationships of textual data. Through this method, we can perceive the connections and associations among words more explicitly, aiding in unveiling the concealed information and meanings in the text data. Further research can further refine the visualization and broaden the application domain to cater to the escalating demands. This method is anticipated to play a vital role in text-connected tasks, offering a potent tool for extracting knowledge and information from textual data
Optimization of Balanced Distribution of Online and Offline Biochemistry Teaching Resources Utilizing Machine Learning Algorithms and Big Data
Authors: Min Li,
Published: April 2024

Utilizing machine learning algorithms, the current conventional optimization methods for balanced allocation of teaching resources are enhanced. These methods primarily focus on predicting the current network resource load capacity without calculating the adaptation factor, often leading to suboptimal allocation outcomes. To address this issue, we propose a balanced allocation optimization approach for online and offline biochemistry education resources, taking into account the importance degree and big data. This approach calculates the probabilistic importance of teaching resources and the user delay in distinct modes to identify the optimal balanced allocation of teaching resources. Our experimental results comfirm that this approach achieves a higher resource utilization rate and a more desirable allocation effect compared to previous methods.
Investigation the Incentive Mechanism of Prefabricated Building from Numerical Simulation of Evolutionary Game
Authors: Jianlin Mao, Jingnan Zhang , Siyue Kuang Qianhong Diao,
Published: April 2024

The prefabricated building is significance to promote high-quality transformation of construction industry on the building. However, the development of prefabricated market on building are restricted due to unsound management system and inadequate policy implementation. This paper investigates the dynamic strategy choices among the government, construction units and component companies in promoting the prefabricated buildings from the perspective of government incentives, by introducing the evolutionary game theory. The dynamic evolution paths of both players under different factors are investigated through MATLAB numerical simulation. Correspondingly, the incentive mechanism of prefabricated building is discussed based on the obtained numerical simulation results. Finally, the scientific and reasonable formulation of incentive policies for the prefabricated buildings are provided based on the theoretical analysis and numerical simulation results.
Research on the design of teaching aid resource system based on unsupervised representation learning
Authors: Haobo Mao
Published: April 2024

In the absence of manual annotation information, using only the topology information of the graph to achieve unsupervised graph alignment has always been one of the important challenges faced by graph data mining, especially in the large-scale graph alignment task, the discovery of initial seed nodes and the low computational efficiency have always been a problem. This paper proposes a large-scale unsupervised graph-aligned physical education teaching resource system framework based on topological representation learning, which is highly scalable and adaptable. Firstly, representative subgraphs are selected from the graph to be matched as seed node candidate sets, and the local topology information is used to calculate to obtain highly reliable seed node matching results; then, the obtained seed nodes are used to integrate the graph to be matched, and an efficient unsupervised representation learning algorithm is proposed to map the fusion graph to a unified vector space; finally the obtained node vectors are used to achieve the alignment of large-scale graphs. The proposed technique shows the shortest time when dealing with large-scale graph alignment tasks, and at the same time reaches the highest level of accuracy of alignment results, in addition, the performance of the physical education auxiliary resource system algorithm has the least impact on the difference of graph structure.
An Algorithm for Solving Three-dimensional Assignment Problem
Authors: Zhitao Xiao
Published: April 2024

This article presents a algorithm for solving Three-dimensional assignment problem. Firstly, decompose the three-dimensional cubic matrix corresponding to the three-dimensional assignment problem into multiple two-dimensional planar matrices, and obtain that the assignment problems corresponding to these two-dimensional planar matrices have the same feasible solution as the original three-dimensional assignment problem. Then, the leading principal submatrix algorithm is used to solve each two-dimensional assignment problem. The characteristic of the leading principal submatrix algorithm is that each operation only needs to consider the local (leading principal submatrix) of the assignment matrix of the two-dimensional assignment matrix, without considering the entire assignment matrix. Starting from the first-order leading principal submatrix of the assignment matrix, Through the same solution transformation, the row minimum element of the leading principal submatrix of each order of the assignment matrix is found step by step, and the optimal solution of the two-dimensional assignment problems are obtained. Finally, by comparing the optimal solutions of these two-dimensional assignment problems, the optimal solutions of the original three-dimensional assignment problems are obtained. This algorithm can find the optimal solution for three-dimensional assignment problems in a patterned manner, facilitating computer programming and handling assignment problems with a large number of people and tasks.
Multi-robot Source Navigation Method Based on Coordination Graph Monte Carlo Tree Search
Authors: Yong Xu
Published: April 2024

To address the dynamic cooperative multi-robot sequential decision problem, we propose a multi-robot source navigation method based on coordination graph Monte Carlo tree search. The Monte Carlo tree search online planning is designed with the algorithm system's structure in mind. We combine the upper confidence bound strategy with the coordination graph, which represents multi-robot cooperative communication, and solve the coordination graph using the max-sum algorithm to select joint actions. This paper proposes a time series prediction model for optimizing multi-robot movement trends using historical data, which is then used to solve the exploration and exploitation problem in Monte Carlo tree search. The experimental analysis and comparison show that our proposed method outperforms the comparison algorithms in terms of source search steps, task execution time, and source search success rate, as well as robustness and efficiency for multi-robot source search.
Research on Dynamic Gesture Recognition and Control System based on Machine Vision
Authors: Yong Xu
Published: April 2024

Hand gesture recognition and control is a new type of human-computer interaction that can provide a more convenient and efficient operation mode by utilizing non-contact gesture recognition technology. This paper presents a lightweight dynamic gesture recognition method for intelligent office presentation control. First, we introduce the concept of hand gesture recognition and go over key gesture recognition technologies like classification. The structure, process, and evaluation index of the gesture recognition algorithm are described in detail using a convolutional neural network model. During the experiment's algorithm verification phase, we test and analyze the algorithm using the Python language, compilation environment, and data set. In the control experiment, we evaluated the system's ability to control the office application's start, play, next, previous, and exit functions. We achieve 96.3% accuracy on the test set. Experimental results show that the system can recognize a wide range of hand gestures and accurately control the presentation.
A Long-and Short-term Hot User Identification Method Based on Local Outlier Density
Authors: Xiaowu Zhang, Siyu Jin, Xinyi Liu Tian Tian, Zesan Liu, Tiansheng Gao,
Published: April 2024

Power systems have many users; however, there are relatively few users focused on high-quality power supplies (namely, hot users), such as external query users, electricity theft, and information fraud from billions of users. Starting from power load data, this paper postulates that abnormal electricity load users are essential components of hot users. According to the characteristics of regional power loads, this paper first builds a cross-judgment method for abnormal loads to improve the identification accuracy, including spatial and temporal abnormal load detection methods. As the spatial method, the abnormal load detection based on the local outlier factor (LOF) algorithm detects different users from similar users using several constructed dimensional features. As the temporal method, dynamic abnormal load detection based on the short-term sequential (SS) algorithm is designed to improve the LOF missing alarm rate and computing efficiency with multi-dimensional features. This also accomplished abnormal load detection from historical dimensions. A long- and short-term hot user detection method is designed based on the outlier density in response to the insufficient support of single-point abnormal loads to judge hot users. Finally, experiments on the user load data in a certain region within a year test the abnormal detection method for long- and short-term hot user detection based on local outlier density (LOD). The experimental results indicate that this method can detect abnormal loads and search hot users. The long- and short-term hot user detection method based on the LOD can meet practical needs when only using user load data and has good generalization abilities.
Research on Motion Capture System of Motor Skill Based on Computer Vision Technology
Authors: Yunkun Cui Qingfeng Shi,
Published: April 2024

Compared with the existing motion capture system, the inertial conduction based motion capture method proposed in this project can effectively overcome the shortcomings of the current motion capture, such as limited communication distance, low accuracy of data acquisition, low visualization degree of model display software, narrow application range, etc., and improve the practical application value of the method. A method of motion capture and motion control based on wireless network is proposed. Since most of the skeleton of the human body is rigid, the complete expression of the human movement is realized through the study of 17 important joints, and all the movement information of the athlete can be obtained by placing sensors on the corresponding nodes. Through wireless network transmission technology, the player's action information is transmitted to the 3D modeling software to achieve real-time control of the action. When measuring each sensor, strapdown inertial navigation technology is used to improve the accuracy of acquisition. The 3D modeling software is based on a professional motion capture software, and through the forward and inverse kinematics of its motion, the 3D modeling is highly consistent with the wearable device.
Application of Finite Element Algorithms for Formula Racing Steering Wheels
Authors: Xia Liu Xinqiao Ding,
Published: April 2024

The steering wheel of a Formula Student car has an important influence on the driving and handling stability of the car. The steering wheel of the racing car must have good mechanical and stable performance, taking into account lightweight and economic performance. Due to the small riding space of the car, the size of the steering wheel is not required to be too large. In this case, it is very difficult to meet its harsh stress state and control its vibration and noise. Based on the general requirements of the competition rules of the Formula Student racing competition, this paper constructs the geometric model of the steering wheel of the racing car by using the computer 3D design software CATIA. ANSYS software was used to conduct finite element analysis of the mechanical properties of the metal skeleton of the steering disc. Magnesium alloy, a light material with excellent mechanical properties, was selected, and combined with the actual working conditions of the steering disc, especially the force under extreme conditions, the computer simulation results showed that the force distribution and displacement of the steering disc met the design requirements. Considering that the noise and vibration of the steering wheel will have a great impact on the racer, the modal analysis of the steering wheel is carried out by using ANSYS software, and the analysis results show that there is no resonance or instability.
Optimizing Breast Cancer Diagnosis with Advanced Deep Learning Techniques in Medical Imaging
Authors: Veera V Rama Rao M
Published: April 2024

This research explores the integration of deep learning techniques into medical imaging for early breast cancer detection. Focused on enhancing current methodologies, the study develops a specialized deep learning model using a diverse dataset of medical images. The primary objectives include evaluating the model's performance, identifying strengths and limitations, and addressing ethical considerations inherent in deploying such technology in healthcare. The findings offer significant implications for advancing early breast cancer detection, potentially revolutionizing diagnostic practices and improving patient outcomes. The study contributes to bridging existing gaps in the literature, providing novel insights into the potential of deep learning in the context of medical imaging. By examining the model's efficacy, ethical considerations, and its broader impact on healthcare, this research lays the foundation for further innovations in the critical intersection of artificial intelligence and early cancer diagnostics.
Three Persons Satisfactory Roommates Problem with Ties, Ties and Incomplete List
Authors: N. Logapriya
Published: April 2024

Solving the Satisfactory Roommates Problem (SFRP) involves determining a satisfactory match between any two roommates. Every member of the set of even cardinality ranks the other members in order of preference in the SFRP. The division of the set into roommate pairs according to each person's satisfactory level is known as satisfactory matching. The satisfactory roommates' problem (SFRP) is generalized to a new level where preference lists with ties, ties, and incomplete lists are present. There are 3n individuals in this Three person Satisfactory Roommates Problem (TPSRP), and each individual has preference lists for their two companions. Less than with ties is preferred by certain people. We use the TPSR algorithm to identify suitable matching, which is based on preference value and helps determine satisfactory matching of roommates problem with ties (TPSRT), ties and incomplete list (TPSRTI). A new, complex algorithm for finding perfect triples in rooms is presented in this study.
Intelligent Power Management of Electric vehicle with onboard PV by ANN-based Model Predictive Control
Authors: G. Divya
Published: April 2024

This paper presents a novel configuration of Hybrid Electric Vehicle (HEV) with fuel cell as primary source and an on-board Photovoltaic (PV) array as secondary source. It incorporates an advanced Model Predictive Control (MPC) system that utilizes Artificial Neural Network (ANN) technology to control induction motor of electric vehicle. The system has three main parts: a fuel cell, an electrolyzer, and a PV array. Each part has a different job in supplying power to the vehicle. The PV array functions to supplement the fuel cell by providing power when ample irradiation is available. When the car isn't being used, the extra power from the solar panels goes to the electrolyzer. There, it turns into chemical energy, making hydrogen. This hydrogen is stored in the onboard hydrogen tank for future use. To fulfil the voltage needs of both the motor and energy sources, a quadratic bidirectional buck-boost converter (QBBC) is utilized. This converter efficiently manages the voltage output while ensuring compatibility with various energy sources. The system undergoes comprehensive analysis under different irradiance and speed conditions to evaluate its performance and efficiency. To make the solar power system more efficient and cost-effective, a Maximum Power Point Tracking (MPPT) algorithm is used. This algorithm helps get the maximum power from the PV system. An improved incremental conductance algorithm is used for this, making sure it accurately finds the best power point. The control strategy incorporates both outer voltage and inner current control, to effectively control the DC output voltage of the QBBC. The vehicle's drive system employs an indirect vector-controlled induction motor. To regulate the motor's speed effectively, an advanced ANN-MPC system is used, providing precise control and high efficiency. This paper introduces a novel approach for predictive torque control of AC machines, eliminating the need for weighting factors. An ANN estimator is used to accurately expect the motor speed, which improves the overall performance of the control system. By using MATLAB/SIMULINK to test how well the proposed Electric Vehicle (EV) setup works and make sure it's effective in real-life situations. Through this comprehensive approach, the paper contributes to advancing the development of efficient and intelligent electric vehicle systems..
Smart Helmet with A Head-Mounted Display, Solar Panel, and Natural Language Processing
Authors: Ratnesh Kumar Dubey
Published: April 2024

In order to combat this problem, people don't usually wear helmets when riding a bike. However, in addition to serving as a safety device, helmets can also be used for much more. This will benefit the rider in many ways, including making the most of their time while riding, arriving at their destination efficiently, and riding safely by being aware of the most likely road conditions. The design of the smart helmet presented in this paper aims to achieve the aforementioned characteristics. It will do so by employing an Arduino UNO and HC-05 Bluetooth Module for a direct helmet-to-mobile connection, as well as speech inputs and speech outputs for more convenient communication with the helmet through Natural Language Processing (NLP) and a Heads-Up Display (HUD) for more detailed display output to the rider without diverting their attention from the traffic scene.
Decreasing the Return Temperature in District Heating Networks Thanks to a Switch to Alternative Substation Architectures
Authors: Chardon Gaétan , Patureau Rémi , Gavan Valentin
Published: April 2024

District heating networks (DHN) are key systems for managing heating and reducing carbon emissions at a large scale. Therefore, increasing their efficiency is a key to reduce climate change. DHNs with centralized production are supplying hot water to building substations (interface between the DHN and the buildings) for domestic hot water (DHW) production and space heating (SH) using heat exchangers. Colder water is returned to the centralized district heating system by the return pipe. One of the crucial factors to improve the efficiency of DHNs is to decrease the return temperature in the network to keep the same amount of energy transferred to the buildings while reducing the thermal losses and the flow rate, leading to more savings. In this paper, we model and simulate two of the most common DHN substation architectures used in a typical third-generation DHN to identify their flaws and propose new district heating substation architectures that can increase the DHN efficiency. The main result from our study is the consistent reduction in the average return temperature across all scenarios when implementing our proposed architectures. The reduction ranged between 3.7 °C and 10.2 °C. We also found that the lower the heating temperature, the greater the reduction. This is particularly beneficial as buildings are increasingly equipped with low-temperature heating systems, especially new constructions. Moreover, these architectures showed optimal efficiency with new buildings that have a high water heating demand compared to heating demand. This is due to the higher impact of cold water preheating.
Spatial Agent-Based Modelling and Simulation to Evaluate on Public Policies for Energy Transition
Authors: Weinberger Georg , Ladino Cano Simón , Bulbul Rizwan , Mauthner Franz , Korn Florian , Ninaus Joachim , Hecher Maria Anna , Scholz Johannes
Published: April 2024

The manuscript describes the development of a spatial Agent-based Simulation to model the effect of public policies on private houseowner’s decisions concerning their heating system. The methodology utilized comprises of an empirical survey to determine the (location-based) behaviour and motivation of homeowners. In addition, spatial data on the houses can be used to implement renovation and thermal refurbishment in the simulation. In addition, the system is able to model and simulation the effect of public policies on the actions of homeowners. Hence, based on their decisions the system can estimate the carbon footprint of the houses over the simulation period. Hence, decision makers can select the best policy (e.g. funding, motivation) to reduce the carbon footprint of communities.
Tracing Lebanon's Educational Journey: Historical Dynamics, Contemporary Challenges, and Strategies for Resilience
Authors: Khoury Megan Edmond
Published: April 2024

This article offers an examination of Lebanon's historical trajectory, exploring its profound influence on the country's education sector. Beginning with an overview of Lebanon's ancient roots and the impact of foreign occupations, including the Ottoman Empire and the French Mandate post-World War I, the study delves into the enduring effects of domestic conflicts and international influences. Specifically, it scrutinizes the legacy of sectarian divisions stemming from the devastating Civil War, which has left indelible marks on Lebanon's governmental structure. Despite successive efforts, the Lebanese National Curriculum has remained stagnant since 1997, exacerbating proficiency gaps and educational challenges. Recent economic crises and geopolitical turmoil have further strained the education system, as evidenced by alarming proficiency deficits and governmental neglect in educational contingency planning. Recognizing the interconnectedness of primary and higher education, the study advocates for a holistic approach to address Lebanon's education crisis. Urgent action from the Lebanese government, particularly the Ministry of Education and Higher Education, is essential to revitalize the education system. By harmonizing policy decisions, effectively allocating resources, and implementing transparent accountability mechanisms, Lebanon can navigate its current educational challenges and pave the way for a resilient and promising future.
El chile tabiche: memoria, reencuentro y acción comunitaria en Santo Domingo Tomaltepec, Oaxaca, México
Authors: Sclavo Daniela , Pérez Volkow Lucía , Hernández Martínez Emilio
Published: April 2024

Chile tabiche, a cultivariety (variety defined by a cultural context) of the species Capsicum annuum var. annuum L., was consumed in the community of Santo Domingo Tomaltepec in the Central Valleys of Oaxaca until approximately 70 years ago; however, it fell into disuse in recent decades. Through the story of the loss and reencounter of chile tabiche in this community, we reflect on the role of memory in re-establishing networks of use, knowledge, and value. This work is carried out within the context of Cocina Colaboratorio, a project that seeks to strengthen food sovereignty in three communities in Mexico, including Santo Domingo Tomaltepec. In a transdisciplinary way, the collective uses the kitchen table as a metaphor for horizontal exchange, collaboration, and community action. This research ran from the summer of 2021 to the summer of 2022 and materialized through semi-structured conversations and activities designed from art and participatory action research. According to older women in the community, chile tabiche was grown in nearby fields and was an essential ingredient in daily life and celebrations. Our research found that this chili pepper is still produced and consumed in the Sierra Sur of Oaxaca. Thus, we planned a series of events with the community for a reencounter and to be able to share it with women who already knew it and younger generations who had not tried it. This study seeks to highlight the nuances of loss and value, not as something definitive but as a network that can be rewoven in different ways. This contributes to critical discussions on the heritage boom by presenting an example in which memory can be a tool for action and where flavors, practices, and narratives can be reformulated and re-appropriated to reclaim identities.
Contribuições da pesquisa-ação colaborativa para a formação docente continuada e o ensino de língua inglesa: foco no feedback corretivo oral
Authors: Pessôa Aline
Published: April 2024

Este artigo apresenta uma pesquisa que emerge a partir da constatação, presente em diversos estudos, de que o feedback corretivo oral é frequentemente empregado de modo reducionista por professores de língua inglesa. Diante desse cenário, a pesquisa aqui discutida visou proporcionar formação docente continuada a uma professora de língua inglesa, mediando a construção de conceitos científicos sobre feedback corretivo oral, articulando-os a seus conceitos cotidianos no contexto específico de sua atuação docente. Para tanto, o estudo explora a pesquisa-ação colaborativa, estreitamente relacionada aos princípios socioculturais da colaboração e da mediação. Os dados foram gerados por meio de uma entrevista semiestruturada, observação de seis aulas, uma sessão autocóspica e duas conversas denominadas diálogos colaborativos. Os resultados evidenciaram, inicialmente, que a professora participante, fundamentada em seus conceitos cotidianos, interpretava feedback corretivo oral como uma atividade que interrompia a comunicação, causava desconforto no aprendiz e não contribuía para o processo de aprendizagem da língua. Por essa razão, a professora limitava-se a usar movimentos reformuladores, especialmente o recast sutilmente fornecido. A natureza colaborativa da pesquisa-ação, ao articular teoria e ação, proporcionando reflexão, favoreceu à participante da pesquisa a construção de conceitos científicos e a reconstrução de seus conceitos espontâneos. A internalização dos novos conceitos é manifestada nas novas práticas pedagógicas da professora, demonstrando ampliação da quantidade e da variedade de feedback corretivo oferecidos, além da inclusão de movimentos elicitativos. Os resultados deste estudo ressaltam a relevância da implementação de oportunidades, como as propiciadas por uma pesquisa-ação colaborativa, como meio de apoiar e promover formação docente continuada.
Impact Of AI In Education Through A Teachers Perceptive
Authors: S Sangheethaa , Korath Arun
Published: April 2024

Personalized learning is an instructional strategy that tailors the learning experience to each student's specific needs. Customized lesson plans and evaluations can be generated by using artificial intelligence (AI) to examine student data such as grades, test scores, and interests. The research on personalized learning with AI is promising, since it has the potential to improve student accomplishment, increase student engagement, and provide cost-effective solutions. Personalized learning is likely to become more common in educational institutions as AI technology progresses. This paper discusses about the methods, issues and challenges of using AI in classroom environment and how the teachers should be ready to face such a classroom.
Revisiting The Relationship Between Psychological Contract And Job Satisfaction: The Moderating Role Of Organisational Commitment Behaviour And Team Building
Authors: Das Dr. Debi Prasad
Published: April 2024

This paper examines the relationship between psychological contract (PSC) and job satisfaction (JST) with the moderating effect of organisational commitment (OCB) and team building (TBD) on this relationship. A structured survey questionnaire technique was applied for data collection and 377 responses were received from faculties working in privately owned HEIs located in Noida and Gurugram. The results revealed that PSC has a positive impact on JST. However, the effects of organisational commitment and team building were found significant. Accordingly, this paper contributes to PSC literature by demonstrating the relationship between PSC and JST in a developing world context. From a practical viewpoint, firms need to consider PSC from a holistic perspective by embracing and incorporating key sustainability aspects into various privately owned higher education institutes. Organisational commitments were found to have a significant positive correlation with job satisfaction. From the regression model it was found that the fulfillment of academic staffs’ psychological contract contributed to the development of increased organizational commitment which in turn contributed to increased academic staffs’ job satisfaction level. This research investigated further the application of psychological contract in Indian higher education context and bridges the literature gap on analyzing the effects of Indian psychological contract on job satisfaction through organizational commitment and team building.
Women’s vulnerability to STIs and HIV transmission: high risk sexual behaviour in Denpasar City
Authors: Dewi Desak Made Sintha Kurnia , Wulandari Luh Putu Lila , Karmaya I Nyoman Mangku
Published: April 2024

Department of Health of Bali Province reported an increase of reported HIV cases among pregnant women. A sero-survey among pregnant women in 2010 has found 1% of pregnant women are HIV positive. This fact might indicate the possibility of women’s vulnerability to HIV in Bali, mainly due to the high risk behavior of their sexual partner. There has been limited study exploring this vulnerability, and how this vulnerability might affect their risk in contracting HIV. This study aimed at exploring women’s vulnerability to HIV by looking at the individual, households and their community high risk behaviors which might consequently affect the women risk to HIV transmission. Qualitative study was employed by using indepth semi structured interview with 21 informants. The informants were chosen to ensure the variations of the risk behaviors as such might reveal different risk which might affect women. The informants consisted of men, women, HIV counselor and health providers in three different health services in Denpasar. Data was analysed using thematic analysis. To improve data validity, member checking and peer debriefing techniques were used. The study found that there has been variation in the factors which affects women’s vulnerability within individual, household, and community levels. These included the multisexual partners of women and or their sexual partners, buying sex, drug injecting behaviours of their partners and inconsistent condom use which due mainly to the low bargaining position of women in condom negotiation.
Low proportion of contact among people attending early detection for pulmonary tuberculosis in South Denpasar I Public Health Centre year 2012
Authors: Agung Anak Agung Gede , Sawitri Anak Agung Sagung , Wirawan Dewa Nyoman
Published: April 2024

Family members with positive BTA tuberculosis (TB) are vulnerable to be infected due to regular contact. However, awareness of early detection is still low, resulting in low rates of TB suspect identification and low detection of new cases in the public health centre. The study aims to measure the proportion of contacts in the house for people attending early detection for pulmonary tuberculosis, and to analyse the influence of perception of contacts to the behavior of early detection. This cross-sectional analytic study include 110 respondents taken from all family members of BTA pulmonary TB cases as recorded in TB register at South Denpasar I Public Health Center between 2010 and 2011. There were 49 samples who have ever underwent early detection and 61 samples have not. Data collected were analysed using univariate, bivariate (chi square) and multivariate with cox regression. The proportion of contact in the house who underwent early detection is still low (22.55%). The perception of vulnerability and threat were found to be associated with the early detection behavior. Cox regression analysis however showed none of those variables associated with the early detection of pulmonary tuberculosis. The study concluded that only small proportion of people who had contact with TB patient in a house was underwent early detection. The perception of vulnerability and threat influence the early detection behavior of pulmonary tuberculosis in South Denpasar I Public Health Center. The awareness campaign to increase early detection of pulmonary tuberculosis needs to be improved through enhancing the knowledge regarding the spread of TB and its symptoms.
Risk factors of maternal mortality due to complications in pregnancy, delivery and postpartum in Bima Regency 2011–2012
Authors: Juharni Sri , Widarsa I Ketut Tangking , Wirawan Dewa Nyoman
Published: April 2024

The maternal mortality rate (MMR) in West Nusa Tenggara Province in 2010 is about 350/100,000 live births. This figure is higher than national and other provincial figures.  Bima that constitutes a regency of West Nusa Tenggara Province has high maternal mortality cases for period of 2011-2012, namely 20 cases. The Ministry of Health classified 3 factors that affect maternal mortality, namely: medical, non-medical and health service factors.  The study was aimed at finding out the risk factors that affect maternal mortality. This study is a case control study with the total samples of 20 cases and 60 controls. The data were collected through interviews by using the questionnaires. The collected data were then cross-checked with the registers existing at midwives, health record cards of pregnant women and verbal autopsy documents. The univariate, bivariate and multivariate analyses were done. Bivariate analysis was using chi square test and multivariate analysis was using logistic regression. The study revealed that factors which increase the maternal mortality rate are the level of Hb<10 gr% (OR=15.19; 95%CI: 3.25–70.97), delayed decision-making (OR=9.28; 95%CI: 2.15–84.80) and delayed medical treatment at referral facilities (OR=13.16; 95%CI: 2.28–104.86). As conclusion, the most contributing factor to maternal mortality is the level of Hb<10 gr%.  The efforts to reduce mortality rate should be conducted including increasing Hb level of pregnant women, improving basic obstetric emergency handlings at community health centres for midwives/medical doctors and to improve better referral systems.
Women’s Perception, Familial and Mass Media Influence upon Ratus Vaginal Douche Usage in Bali, 2013
Authors: Widyastuti  , Zuryani Nazrina , Karmaya I Nyoman Mangku
Published: April 2024

Background and purpose: The ratus vaginal douching technique is a treatment by evaporation in the genital area, that compound is called “ratus”. There are a number of controversies surrounding the ratus technique, especially regarding the benefits and detrimental aspects. This study applies a behaviour model Green (2007) with a focus on three factors: the determinant, supporting and stimulant. This study was aimed to understand the relationship perception, socio economic, familial, and mass media upon ratus vaginal douching usage.

Methods: This study used a quantitative approach with an analytic observational cross-sectional design. Study used random sampling of 63 samples that taken from 3 different Spas.

Results: The respondents were 44 (69.8%) who performed the ratus vaginal douching and 19 (30.2%) who had not performed. Results indicated that the variables of perception, knowledge, familial, and the mass media showed a significant correlation with the value of (p<0.05). The result of multivariate analysis came from mass media that had the greatest influence with OR=8.47 (95%CI: 1.21-59.42).

Conclusion: Mass media had the greatest influence on the use of the ratus vaginal douching in Bali Province.
Relationship between Knowledge and Attitudes with Contraceptive Use among Women of Childbearing Age at the Comoro Health Centre, Dili, Timor Leste
Authors: Gonçalves Marilia Juvi , Suariyani Ni Luh Putu , Suryadhi Nyoman Tigeh
Published: April 2024

Background and purpose: Timor-Leste's population growth rate increased by 2.4%. Data in 2013 showed the contraceptive use among women of childbearing is only 37.3%. This study aims to determine the relationship between knowledge and attitudes with contraceptive use.

Methods: A cross-sectional was conducted with 83 female respondents. The dependent variable was contraceptive use. Knowledge concerning contraceptive use and attitudes were the independent variables. Data were collected through a self-administered questionnaire, however, for illiterate respondents, researcher assisted with questionnaire completion. Data analysis was conducted in stages: univariate and bivariate (chi-squared test).

Results: The majority of respondents 41 (49.4%) aged 25-34 years, 37 (44.6%) respondents obtained high school education, 62 (74.7%) were housewives, good knowledge regarding family planning (39.8%) had positive attitude (45,8%). Results indicate that there was a significant relationship between maternal knowledge (p=0.006) and attitude (p=0.017) with contraceptives use among women of childbearing age.

Conclusion: Level of knowledge and attitude are correlated to contraceptive use among women at Comoro Health Centre, Dili District, Timor Leste.
Policy for Drug Users in Indonesia: A Critical Policy Analysis of Jail Punishment and an Alternate Rehabilitation Policy
Authors: Sutarsa I Nyoman
Published: April 2024

Given the fact that drug use is a complex problem, public intervention to change and address its determinants are crucial.  Social and economic capitals should be channelled via several options, ranging from ‘pro to the poor’ policy, micro economic enterprise, diversion from informal economy, community engagement, social health insurance for poor people, economic development strategy for community and national level and employment initiatives or providing wider access for job opportunity. National public health policy strategies regarding drug user treatment are also necessary to facilitate future interventions.
The Difference of Patient Satisfaction Between ISO and Non ISO Health Centers in Denpasar
Authors: Candrawati A.A.A.A. , Suarjana I Ketut , Wirawan Dewa Nyoman
Published: April 2024

Background and purpose: ISO has been implemented to improve quality of care and patient satisfaction in four health centers in Denpasar. An assessment of the quality of services has been conducted, but there has been no assessment of patient satisfaction. This study determined differences of patient satisfaction between ISO and non- ISO centers and related factors.
Methods: The study design was cross-sectional sample survey of 298 respondents; 149 attending ISO clinics and 149 non-ISO clinics. Data were collected using self-administered questionnaires and analyzed with chi square test and logistic regression methods as well as quadrant analysis.
Results: Satisfaction was significantly higher (p=0.001) among ISO health centers (98.66%) compared to non-ISO (87.25%). Satisfaction levels were significantly higher (p=0.001) among ISO health centers specifically for sub item reliability (97.99% vs 81.21%), responsiveness (97.32% vs 82.52%), assurance (98.66% vs 84.56%), empathy (97.32% vs 77.18%) and physical appearance (97.32% vs 83.8%). Multivariate analysis indicated that factors associated with patients satisfaction were ISO status (adjusted OR=16.56; 95%CI: 3.87-70.95) and health insurance membership (adjusted OR=3.76; 95%CI: 1.38-10.23). Quadrant analysis indicated that sub item politeness, carelessness and untidiness were priority area for improvement among ISO health centers.
Conclusion: Patient satisfaction was significantly higher among ISO health centers. Study findings indicated that sub-items politeness, apparent carelessness and untidiness still to be improved among ISO health centers.
Relationship between Nurse Knowledge, Attitude, Workloads with Medical Record Completion at the Emergency Unit, Sanglah Hospital, Denpasar
Authors: Mastini Putri , Suryadhi Nyoman Tigeh , Suryani Alit
Published: April 2024

Backgrounds and purpose: Accuracy and comprehensive maintenance of patient records is an integral part of nursing staff duties. Incomplete documentation could reduce the quality of care and service at the hospital. This study seeks to explore the relationship between nursing staff knowledge, attitude and workloads with accuracy of medical record maintenance at the Emergency Unit in Sanglah Hospital.
Methods: Study was cross sectional with a sample of 76 nurses at Emergency Unit Sanglah Hospital. Nurses were interviewed on their knowledge, attitude and workloads. Data on accuracy and completion of medical record was obtained through direct observation.
Results: Accuracy and completion of documentation had a significant relationship with knowledge and nurse attitude (p<0,05). Multivariate analysis indicated that nurse knowledge had a significant relationship in completing medical records with adjusted OR=3.7 (95%CI: 1.2- 11.5). This finding indicated that nurses with a higher knowledge on the maintaining medical records was 3.7 times more likely to complete the required documentation compared to nurses with lower knowledge.
Conclusion: Accuracy and completion of patient documentation by nurses was significantly associated with their knowledge.