bluuebunny/crossref_metadata_2025 huggingface dataset:
Public Sector Financial Reforms and Performance of Government Entities in Nigeria
Authors: Oluwagbade Oluyinka Isaiah , Jimba Kareem Isiaka , Dauda Folorunsho Quadri , Boluwaji Olayinka Dominion , Abe Temitope Adedayo
Published: October 2024

A few scholars have remarked that public agencies in Nigeria are typified by corrupt activities, as well as a slew of other issues. Surprisingly, despite the fact that all succeeding Nigerian politicians and bureaucrats also acknowledge that corruption is a barrier to national growth, the bulk of them assume office as doctors but exit as patients. As a result, Nigerian Government has introduced various economic reforms to boost the performance of government entities in the country. Therefore, this study examined the effects of public sector financial reforms on performance of government entities in Nigeria. Specifically, this study examined the effects of anti-graft reforms, information technology based reforms and financial planning reforms on performance of government entities in Nigeria, The study employed survey research design to collect data from 306 personnel across 188 Ministries, Departments and Agencies (MDA) in Nigeria. Ordered logistic regression and ordinary least square (OLS) regression were employed for data analysis. The study found that anti-graft reforms (Anti-Graft agencies), information technology based reforms (IPPIS and GIFMIS), and financial planning reforms (Budgetary control) significantly enhanced the financial performance of government entities in Nigeria. Likewise, the study revealed that anti- graft reforms (Anti-Graft agencies), information technology based reforms (IPPIS), financial planning reforms (Budgetary procedure) and financial reporting reforms (IPSAS) had significant positive effects on non- financial performance of government entities in Nigeria. Overall results revealed that anti-graft reforms (Anti-Graft agencies, anti-graft legal framework), information technology based reforms (IPPIS and GIFMIS), and financial planning reforms (Budgetary procedure) significantly boosted the financial performance of government entities in Nigeria. The study concluded that public sector financial reforms boosted the performance of government entities in Nigeria, and recommended that the Nigerian government strengthen the agencies implementing public sector financial reforms to boost the performance of government entities better.
Risk and Benefit Analysis of China’s Foreign Direct Investment in the Energy Sector: Case Study of the Belt and Road Initiative
Authors: Kovalova Erika , Vartiak Lukas
Published: October 2024

Since 2011, China has been the world's largest energy consumer. The industrial sector uses two-thirds of the energy consumed in China. The main reason for investment in energy is that China is a net importer of energy, especially oil. The impact of Chinese foreign investments and the energy sector, which is the largest of the individual sectors, are the main subjects of the analysis of the presented paper. In the paper, we used the WoS viewer program to perform a bibliometric analysis of authors, countries, and keywords that deal with FDI. Subsequently, we used various scientific methods, such as the method of observation, method analysis, synthesis, comparison, exploration and explanation, to analyse Chinese investments that flow into multiple sectors worldwide, but especially into the countries participating in the Belt and Road Initiative and into the energy sector from 2013 to the present. As part of the Belt and Road Initiative, China invests in various projects in the form of "loans" and, in many cases, creates debt traps that allow China to seize the assets of participating countries. In this paper, we focused on the energy sector and its development so far within the given initiative, and we also defined what the initiative should focus on within renewable resources. China's energy investments include oil, hydropower, alternative energy, natural gas, and coal. The sharp drop in Chinese investment after 2019 was caused by the COVID-19 pandemic. To conclude, although energy has remained China's primary sector for investment within the BRI regions, Chinese capital has gradually diversified into sectors such as transportation, real estate, technology and innovation, and tourism.
The Effects of Taxes on Income Distribution Justice
Authors: Koc Ozgur Emre , Sarac Taha Bahadir , Koc Neslihan , Cicek Ugur
Published: October 2024

One of the most important economic problems that countries have faced from the past to the present is income inequality. Income distribution is an important indicator that allows us to understand the social and political structures of societies by revealing how the income gap between the rich and the poor in a country changes. Thus, income redistribution or income justice is one of the important goals of fiscal policy. Taxes are also important intervention tools that economic management has in achieving this goal. In this context, this study aims to examine the relationships between different types of taxes and income distribution in the Turkish economy during the period from 2002 to 2022 by using markov regime switching analysis method. The analysis results indicate that, during the period covered by the study, indirect taxes have a positive effect on income distribution, while taxes based on declaration have a detrimental effect on income distribution.
Financial Performance Analysis of Energy Companies Using Multi-Criteria Decision-Making Techniques: An Application in the BIST Electricity, Gas and Water Sector
Authors: Kahramani Koc Azize , Tazegul Alper , Durmus Savas
Published: October 2024

Energy plays a vital role in the macroeconomic development of countries. The increase in energy consumption and the increase in the number of energy companies are among the basic dynamics of country development and growth. Enhancing the financial performance of companies operating in the energy sector strengthens the competitive power of countries at both national and international levels. In this context, this study aims to determine the financial performance rankings of companies operating in the energy sector in Turkey over a 10-year period, identifying the most successful and least successful periods over the years. Using data from energy sector companies listed on Borsa Istanbul (BIST) between 2013 and 2022, after determining the research criteria, the weights of these criteria were calculated using the Entropy method. Subsequently, considering the criteria weights, the performance rankings of energy companies were determined year by year using the MAIRCA method. According to the results of the Entropy analysis, when the importance level is evaluated, the most significant criterion in 2013 was the Liquidity Ratio (LR), in 2014, 2017, 2018, and 2019 it was the Gross Profit Growth (GPG) criterion, in 2015 it was the Current Ratio (CR) criterion, in 2016 and 2022 it was the Net Profit Growth (NPG) criterion, and in 2020 it was the Net Profit Growth (NPG) criterion. Finally, in 2021, the most important criterion was determined to be EBITDA Growth (EBG). Furthermore, based on the MAIRCA analysis, the reasons behind the most successful and least successful years of the companies were explained using financial and activity reports, as well as special situation disclosure notifications obtained from the Public Disclosure Platform (PDP).
UTILIZATION OF INSTAGRAM AS INFORMATION MEDIA IN SUPPORTING THE ACTIVITIES OF IBNU AQIL ISLAMIC BOARDING SCHOOL MEDAN
Authors: Ja'far  , Walisyah Tengku
Published: October 2024

This study investigates the use of Instagram by the Ibnu Aqil Islamic Boarding School in Medan (Pondok Pesantren Tahfiz Ibnu Aqil Medan). Data was collected through interviews, observations, and documentation. Interviews were conducted with the school's head, admin/media team, guardians of students, and students. Observations were made of the school's use of Instagram on the @ponpesibnuaqil account. Documentation included screenshots of posts and literature related to the study. The results showed that the Instagram account, with 2,062 followers, effectively disseminates information about the school's latest programs, activities, and information. The content includes documentation of activities, student achievements, announcements, and creative videos. The admin and media team, including students and educators, manage the content creation process. Instagram not only improves communication and interaction with the public or followers but also promotes Islamic boarding schools, builds personal branding, and collaborates with other institutions. In conclusion, Instagram's use as an information media by the school is effective in supporting various activities and achieving informative goals.
DISTRICT HEAD'S LEADERSHIP STYLE ENHANCES CIVIL SERVANTS' MOTIVATION FOR ACHIEVING GOOD GOVERNANCE IN NORTH SORONG
Authors: Reinhart R.P. Andilolo  , Watunglawar Balthasar , Hafel Muhlis
Published: October 2024

The leadership role at the district level plays a crucial part in promoting good governance, particularly in Sorong Utara District, part of Sorong City in Southwest Papua Province. This study focuses on transformational leadership and its impact on fostering motivation among civil servants within a supportive work environment. Using a descriptive-analytical method, the research aims to explore how leadership practices such as empathy, strategy development, guidance, integrity, and transparency influence civil servant motivation in achieving good governance. Findings reveal several challenges for leadership, particularly in upholding discipline, professionalism, and showing empathy towards employees' rights. Effective leadership strategies are required for developing guidance, enhancing integrity, and maintaining transparency, all of which are critical for boosting civil servant motivation. The study highlights that leaders who provide motivation, promote career development, and enable better public service delivery have a significant influence on staff performance. The research also establishes a positive link between civil servant motivation and improved performance. Motivational interventions that focus on optimizing the relationship between employees and their work environment can enhance both productivity and well-being. Ultimately, leaders who prioritize integrity, fairness, and the public interest over personal agendas can inspire staff to achieve organizational goals and help realize good governance.
Character design in games. Analysis and research of the theory of character design
Authors:   L.N. Gumilyov Eurasian National University, Dzhanakhmetov Orynbassar , Toksanbayeva Aisha ,   L.N. Gumilyov Eurasian National University
Published: October 2024

In the contemporary gaming market, characters play a pivotal role in the success of games, particularly in app stores. When players browse for games within a specific genre, their initial attention is often drawn to the game's characters. Positioned alongside the game's title, characters serve as visual symbols and are displayed in conjunction with key information such as ratings and download numbers. The appearance of a game’s character allows users to quickly assess the genre, visual style, and the preferences of the target audience. While technological advancements are crucial for game development, a comprehensive analysis of character design from an artistic and aesthetic perspective is essential for achieving market success. This article employs analytical methods to explore the design and artistic characteristics of game characters, with the goal of gaining deeper insights into the creative processes of game developers. It also seeks to ensure that characters are perceived in alignment with the core concept of the game. Additionally, by examining current trends in the gaming industry, the analysis offers insights into developing effective character design concepts that resonate with players and enhance a game's appeal. Furthermore, a review of trends in the modern gaming industry allows for conclusions about the role of characters and their impact on the success of the game. The visual and functional elements of characters should harmoniously align with the game’s theme and atmosphere, enhancing players' emotional connection and ensuring long-term engagement.
Cybersecurity in Banking and Finance : Navigating the Digital Threat Landscape
Authors: Poli Reddy Reddem
Published: October 2024

This comprehensive article explores the critical landscape of cybersecurity in the banking and finance sector, addressing the unique challenges financial institutions face in an increasingly digital world. It delves into the Cybersecurity Trilemma of high-value targets, complex IT infrastructure, and stringent regulatory compliance, highlighting the sector's vulnerability to sophisticated cyber threats. The article outlines key security measures, including data encryption, access control, data loss prevention, regular security audits, and incident response planning, supported by current industry statistics. It navigates the complex regulatory environment, discussing major compliance requirements such as GDPR, HIPAA, PCI DSS, GLBA, and CCPA. Finally, the article presents a framework for building resilient cybersecurity, emphasizing risk assessment, security awareness training, threat intelligence, continuous improvement, and regulatory collaboration. It provides financial institutions with a roadmap to safeguard their assets and maintain customer trust in the face of evolving cyber threats.
Data-Driven Personalization : Revolutionizing User Experience
Authors: Rohit Sharma
Published: October 2024

Data-driven personalization has emerged as a transformative approach in digital user experience design, leveraging advanced analytics and machine learning to tailor content and interfaces to individual users. This article explores five key aspects of data-driven personalization: user behavior analysis, segmentation and targeting, machine learning algorithms, real-time adaptation, and privacy and ethical considerations. It examines the significant impact of personalization on business outcomes, including increased revenue and customer engagement, while also addressing implementation challenges, such as technological complexity and privacy concerns. The article provides insights into the methodologies, processes, and best practices for effective personalization, supported by industry statistics and case studies, offering a comprehensive overview of how organizations can harness this powerful approach to create more engaging, relevant, and effective digital experiences.
Personalization at Scale: Big Data Technologies in Digital Content Delivery and Their Effect on Viewer Experience
Authors: Ramalingeshwar Sirigade
Published: October 2024

This article examines the transformative impact of big data technologies on the digital content delivery industry, focusing on their application in enhancing customer experience through video streaming services. Through a comprehensive case study of a leading provider, we investigate the implementation of Hadoop and AWS Big Data product suites to optimize content delivery, personalize user recommendations, and enable dynamic ad insertion. Our findings demonstrate significant improvements in service reliability, viewer engagement, and advertising effectiveness. The article reveals how Big Data analytics facilitate real-time content optimization and personalized user experiences, increasing viewer retention and satisfaction. Furthermore, we explore the challenges and limitations encountered during implementation, providing insights into the practical applications of Big Data in the evolving landscape of digital media consumption. This article contributes to the growing body of literature on Big Data applications in media and entertainment, offering valuable insights for practitioners and researchers in digital content delivery.
Overcoming Product Catalog Challenges in Telecom : A Technical Perspective
Authors: Anirudha Shekhar Karandikar
Published: October 2024

This comprehensive article explores the intricate challenges telecom providers face in managing complex product catalogs across multiple customer touchpoints. With the global telecom market projected to reach $2.47 trillion by 2028, efficient catalog management is crucial for maintaining competitiveness and customer satisfaction. The article delves into the multifaceted complexities of telecom product catalogs, including regional pricing variations, dynamic promotional offers, and the need for real-time synchronization across platforms. It outlines key challenges such as catalog complexity, slow data retrieval, frequent updates, third-party integration latencies, high traffic spikes, and campaign management inconsistencies. The article then presents innovative technical solutions and best practices, including the adoption of industry-leading catalog solutions, leveraging ElasticSearch for faster data retrieval, implementing differential processing for updates, preprocessing third-party integrations, utilizing dynamic UI templates, employing advanced campaign management tools, and implementing inventory prefetching. These solutions aim to enhance operational efficiency, improve customer experiences, and accelerate time-to-market in the rapidly evolving telecom industry.
How teacher leadership develops and its effects on information communication technology enabled reforms in Singapore schools
Authors:   , Hong Helen
Published: October 2024

In this study, I examine how teacher leadership is the metaphorical elephant in the room in the field of educational leadership that can no longer be ignored. This provides the background and purpose of my study and the leadership perspective which guides this research. Traditional notions of leadership have evolved to meet the needs of the new millennium, and similar shifts are observed in educational leadership. The definition of school leadership needs to be expanded beyond the sole leader on the top, to encompass a larger pool of leadership resources among teachers, in order to tap into the wealth of their expertise and experiences to bring about concerted educational improvement and reform. The challenges of the Digital Age in the 21st Century, often described to be a highly volatile, uncertain, complex and ambiguous (VUCA) world, where no one has all the answers, clearly requires a distributed form of leadership. As teacher leadership is a “very political, subtle, diplomatic process” (Lambert, 2000), affected by the context in which it operates, is practised and demonstrated (Wilkinson, Olin, Lund & Stjernström, 2013), it is best studied and understood from within the contexts they unfold. This study examines this phenomenon of teacher leadership, how it is practised, developed and its influence, within the context of Information Communication Technology (ICT) enabled reforms in Singapore schools using a multi-perspective case study methodology. At the same time, this study contributes to the literature by acknowledging the unique characteristics of the Singapore education system; the respect for (a) seniority, recognition of experience; and (b) hierarchy, a recognition of positional authority through the well-established career tracks for education officers. The key findings are made up of five themes pertaining to teacher leadership practice, development and influence. They are: (1) In teacher leadership in ICT enabled reforms, power, distance, and experience matter when relevant and current. (2) Teacher leadership in ICT enabled reforms is a negotiated practice. (3) Teacher leadership in ICT enabled reforms is being ready and taking action when opportunity arises. (4) In teacher leadership in ICT enabled reforms, time plays an important role. (5) The influence of teacher leadership in ICT enabled reforms corresponds with the circles of control, influence and reach. Based on the findings to the study, the Context Sensitive Indigenous Teacher Leadership Model (CSITL) is derived and explicated teacher leadership as the interplay of the four key factors: personal power, professional practice, professional culture and organisational support. The thesis concludes with reflections on the use of the CSITL model and recommendations for future research.
An acoustic study of segmentals and suprasegmentals of English in Beijing, Shanghai and Guangzhou
Authors:   , Yang Rong
Published: October 2024

English in China has attracted much research and scholarship in the past few decades, but there is a general paucity of acoustic-phonetic descriptions of English in China. The present study adopts a region-based acoustic approach to thoroughly investigate phonetic features of English spoken by university students from Beijing, Shanghai, and Guangzhou, which are arguably the most economically progressive cities in China. Specifically, it aims to describe segmental (vowels and consonants) and suprasegmental (rhythm) features of Beijing English, Shanghai English, and Guangzhou English, and conduct a cross-variety comparison among the three varieties. In addition, the study seeks to determine how sociolinguistic factors such as linguistic background, academic level, and disciplinary major affect the English pronunciation of speakers from Beijing, Shanghai, and Guangzhou. This study enlisted the participation of 45 female university students from Beijing, Shanghai, and Guangzhou with varying academic levels and disciplinary majors. They were recorded while reading short passages and sentence sets from the test materials. Their speech data was primarily analysed acoustically, with perceptual analysis to complement the acoustic analysis. Overall, the findings indicate that Beijing English, Shanghai English, and Guangzhou English had both shared features and distinct characteristics. There was a significant difference in the first formant (F1) values of vowels between Beijing English and Guangzhou English; however, no significant differences were found in the second formant (F2) values between the three varieties. There were also significant differences in vowel duration between Beijing English and Shanghai English, and between Shanghai English and Guangzhou English. Speakers from all three cities did not distinguishing certain vowel contrasts to varying degrees. Regarding consonants, aspiration was maintained between voiceless and phonologically voiced stops for speakers from all three cities. Shanghai English had perceptually more rhotic words than Beijing English and Guangzhou English, showing significant differences in F3 values and significant differences in the distances between F2 and F3. In terms of consonantal features, speakers from all three varieties exhibited vowel epenthesis, the substitution of /θ/ and /ð/, and various vocalisations of dark /l/. Rhythmically, the nPVI values were not significantly different between the three varieties. The linguistic background of the speakers had the most impact on all three varieties of English. Vowel quality and duration were more influenced by sociolinguistic factors, while rhythmic patterning was the least affected. The findings of this study have helped to advance the understanding of the pronunciation features and the development of English in China, thereby contributing to the linguistic feature pool of Chinese English (CE) as a whole and the positioning of CE in the World Englishes framework.
The Relationship between Access to Safe Water and Sanitation and Women’s Health in the Self-produced Settlements
Authors: Dominguez Angela
Published: October 2024

Access to safe water and sanitation in self-produced settlements is a significant societal problem. Yet, there is a notable gap in understanding and evaluating the impact on women’s health, and how this intersects with public space. In Sub-Saharan Africa, nearly half of the urban population lives in self-produced settlements. These are complex environments that are continuously growing and are home to almost two-thirds of the population in cities such as Nairobi. Mathare, one of the largest self-produced settlements in Nairobi, exhibits notably poor health outcomes, with women experiencing diarrhoea at twice the average rate of Nairobi. In such a precarious context, the health of its inhabitants requires a specific approach. This paper devises a multidimensional framework for analysing and evaluating the key spatial and socioeconomic factors affecting women’s health in these self-produced settlements. It connects women’s health and well-being to broader structural disadvantages, such as insecure tenure, poor housing conditions, low monthly income and a lack of access to basic services. This case study emphasizes the critical importance of access to safe water and sanitation. Women's daily routines often revolve around water, exposing them to heightened risks of waterborne diseases such as diarrhoea or typhoid fever. Moreover, many women can only access water and sanitation in public spaces in Mathare, where they are particularly vulnerable to violence. This research also concludes how these risks perpetuate a cycle of poverty and vulnerability among women in these communities and emphasises the critical importance of implementing multidisciplinary policies and tailored approaches to enhance the health and well-being of women living in self-produced settlements.
Vietnamese Scene Text Detection Methodbased on Deep Learning
Authors: Thi Thanh Tan Nguyen , Huynh Van Huy , Ngo Quoc Tao
Published: October 2024

This paper proposes an efficient method for detecting Vietnamese text in outdoor scene images. Essentially, the text detection method presented here is based on the idea of utilizing deep learning network architectures to learn various geometric properties in order to reconstruct polygonal representations of text regions. The effectiveness of the method has been evaluated on four real-world outdoor scene image datasets, including the ICDAR 2015, Total-Text, VinText, and VnSceneText datasets. Experimental results show that the proposed method can detect text of various shapes and sizes with high and consistent accuracy. Specifically, the method achieved Precision, Recall, and Hmean scores of 87.53%, 86.94%, and 87.23%, respectively, on the test datasets, 84.32%, 88.17%, and 86.20% on a different dataset, 85.63%, 87.94%, and 86.77% on yet another dataset, and 85.14%, 87.23%, and 86.17% on the last dataset. The experimental results indicate that this approach is feasible for detecting Vietnamese text in outdoor scene images.
A Meta-Heuristic Approach for Enhancing Performance of Associative Classification
Authors: Nguyen Quoc Huy , Tran Anh Tuan , Nguyen Thi Ngoc-Thanh , Do Nhu Tai
Published: October 2024

Associative Classification is an interesting approach in data mining to create more accurate and easilyinterpretable predictive systems. This approach is often built on both association rule mining and classification techniques, to find a set of rules called association rules for classification (CAR) of label attributes. There are many kinds of associative classification such as CPAR, CBA, CMAR but the accuracy is still low on large datasets, and the running time is not reasonable as well. This paper proposes a heuristic approach to significantly enhance the performance of Associative Classification algorithms in running time, reducing the rule set, and accuracy on large data. Experimental results show that heuristic searching the optimal data set makes the associative classification more useful on big data, and reasonable in practice.
Empirical Study of Ovarian Tumors Detection and Classification in Ultrasound Images
Authors: Hung Le
Published: October 2024

Ovarian cancer is one of the leading causesof death in women. Ultrasound images often provide initialfindings and diagnosis before further tests are performed.Despite some progress in medical image analysis, the detectionand recognition of ovarian cancers remains still quite limited.Most existing works focused on detecting or classifying twotumor categories, namely benign and malignant lesions. Thispaper presents an initial comprehensive study of ovariantumor detection, and at the same time classifies eight classesof ovarian tumors in ultrasound images using deep-learningmodels. Due to the lack of training data, we implemented adata augmentation process and examined the improvementof performance with and without data augmentation. Experimentscarried out on the OTU-2D set of MMOTU dataset withYOLOv5, YOLOv7, and YOLOv7 variants show promisingdetection and classification results.
Method for Mining High-utility Patterns in Transaction Stream Data based on Linked List Structure
Authors: Tran Minh-Thai , Tran Anh-Duy , Pham Duc-Thanh , Le Minh-Nguyen
Published: October 2024

Mining valuable patterns in data streams presentsa significant challenge in the field of data mining. Thistask is crucial as it allows for the identification of highlyprofitable item sets within transaction databases. However, asnew transactions are continually added, new valuable patternsemerge, thus changing the usefulness of previously analyzeddata. It is essential to promptly update information regardingthese changes to enable effective business decision-making.Consequently, existing mining methods applied to transactionflow datasets require considerable time to identify newpatterns and update information related to new transactions.This article focuses on the research and proposal of a newtransaction stream data mining method called High-UtilityStream Linked-List Mining. The method utilizes a linkedlist structure known as the High-Utility Stream Linked List(HUSLL) to store information about patterns in the database.Mining and updating transaction information are directlyperformed on the HUSLL structure. Experimental resultsdemonstrate that this novel mining method exhibits moreefficient execution times compared to previous solutions.
Mellifluous Viewport Bitrate Adaptation for 360° Videos Streaming over HTTP/2
Authors: Nguyen Duc Thien , Tran Trieu Hai , Nguyen Viet Hung
Published: October 2024

Virtual reality provides an immersive experiencefor users. There has recently been much research on adaptivemethods of playing 360° video over HTTP/2 to exciteusers. This paper analyzes users’ behaviors and perceptionswhen watching 360° online videos. We also provide somemeasurements and evaluation of the main features of 360°video streaming. Experiments show that our method improvesbitrate by up to 45.8% and buffer size counter-up to 25.0%compared to referenced methods.
Will Event Volunteers’ Role Ambiguity Affect Performance? Role of Social Exchange Qualities and Gender
Authors: Kellershohn Julie , Jeon Hyeongjin , Oh Hyunghwa (Rick) , Choi Juwon
Published: October 2024

This study investigates how role ambiguity affects the performance of event volunteers, particularly in charity sport events. 

The research explores the roles of social exchange qualities, such as team-member exchange (TMX) and leader-member exchange (LMX), in mitigating the negative effects of role ambiguity on job performance.

Data were collected from volunteers at charity sport events in the U.S. between 2019 and 2021.

Key findings include:

Role ambiguity negatively impacts volunteer job performance.

High-quality interactions with team members (TMX) and leaders (LMX) help reduce role ambiguity, thereby improving job performance.

Gender moderates the relationship between role ambiguity and job performance, with male volunteers being more affected by role ambiguity than female volunteers.

The study suggests that enhancing social exchanges among volunteers and providing clear role definitions can improve volunteer performance.

Practical recommendations include using social media for team building and providing clear communication and feedback to volunteers.

The research highlights the importance of addressing role ambiguity to support volunteer effectiveness and satisfaction.
EZİNE-ÇAMLICA ŞELALESİ’NİN TURİZM POTANSİYELİNE YÖNELİK PAYDAŞ GÖRÜŞLERİNİN ANALİZİ
Authors: Gavas Gülsu , Saatcı Savsa Gencay
Published: October 2024

Bu araştırma ile Çanakkale’de turizm faaliyetlerine büyük katkısı olan paydaşların Ezine-Çamlıca Şelalesi’nin turizm potansiyeline bakış açılarını belirlemek ve ilgili kurum ile kuruluşların bu destinasyonun turizm potansiyelinin geliştirilmesine yönelik sağlayacakları katkıları tespit etmek amaçlanmıştır. Görüşme tekniği kullanılarak Çamlıca Şelalesi’nin mevcut durumu, bölgenin turizm konusunda nasıl geliştirilebileceğinin tespit edilmesi amaçlanmıştır. Çalışmanın amacı kapsamında 01.07.2024-15.08.2024 tarihleri arasında 45 katılımcı ile derinlemesine mülakatlar yapılmıştır. Katılımcıların bölgenin gelişimine yönelik sunmuş oldukları öneriler bölgenin turizm gelişimi için izlenecek yolun belirlenmesine yardımcı olacaktır. Araştırmadan elde edilen bulgular doğrultusunda; bölgenin şu an için sadece yerel halk tarafından biliniyor olması, il merkezine bir saatlik uzaklıkta olup altyapı ve üstyapı bakımından yeterli derecede gelişmemiş olması turizm potansiyeli açısından engel oluşturmaktadır.
Analyzing And Assessing the Translation of Quranic Terms based on the Tridimensional Exegetic Analysis Model, salah as a Case Study
Authors: Omar Ajbar
Published: October 2024

The study investigates the hypothesis that there are certain conceptual gaps between the source and target concepts and proposes a translation strategy to avoid that distortion of the intended meanings. It starts from the premise that producing a high-quality translation of Quranic concepts could be attained if the distinctive features of source and target concepts are delimited based on an onomasiological terminological approach and a tri-dimensional textual approach. The objective is to assess an equivalent of a Qur’anic term based on its conceptual match or mismatch with the source concept and to propose improved versions that meet the needs of readers of Quranic translations irrespective of their cultural backgrounds. Thus, after attaining the conceptual delimitation of the Quranic concept of salah, an analysis is conducted to check whether its features are well conveyed in the equivalent “prayer”. Salah is delimited in the Quran (intratextuality), Sunnah (intertextuality), and the historical sociocultural contexts (contextuality).
Language-in-Education Planning for Foreign Languages in Morocco: Analyzing the Historical and Structural Impacts of History, Social Class, Ideology, and Power Dynamics
Authors: Jamaati Zakaria , Trimasse Naima , El Ghazi Mohamed
Published: October 2024

The present paper analyzes language-in-education planning for foreign languages within the Moroccan educational system. These policies have been adopted and/or implemented as part of three successive educational reforms that the state has undergone in the last 25 years (e.g., the National Charter 1999, the Emergency Program 2008, and the Strategic Vision 2015). Despite the state’s advocacy for varying foreign language instruction, these policies have been marked by a consolidation of French instruction as a primary foreign language and a shift to using it as a medium of instruction for science and technology subjects in middle and secondary education as part of language alternation pedagogy. The study adopts Tollefson’s (1991) Historical-Structural Approach as a conceptual framework to analyze how the constructs of history, class structures, ideology, and power dynamics have influenced language-in-education planning to perpetuate the social, economic, and political privileges of a francophone-oriented elite. The latter have employed their economic and political power to influence the indecisive aspect of the language-in-education policies—both covertly and overtly—to increase socioeconomic inequalities and injustices, including linguistic disparities between the elite and lower social classes. This dominant position of French within the educational system has also been motivated by external influences, manifested in the heavy political and economic relationship with France, the former colonizer.
Factors That Influence Adherence to Breast Tumor Patients at Surgical Clinic in The Bhayangkara Brimob Hospital
Authors: Anastasya Sri Ratu , Futriani Elfira Sri
Published: October 2024

ABSTRACT The impact of pre-operative anxiety is that pre-operative anxiety can cause physical and psychological changes which ultimately activate the sympathetic autonomic nerves, thereby increasing heart rate, blood pressure, respiratory frequency, and generally reducing energy levels in the patient, and ultimately can be detrimental to the patient. itself because it will have an impact on the implementation of operations. To determine the relationship between therapeutic communication and the level of anxiety of primigravida mothers in facing SC delivery at Bhayangkara Brimob Hospital in 2023. The research approach used in this research is cross-sectional. The population in this study was 30 women pre-SC surgery. The sample in this study was 30 people. The sampling technique is total sampling. Researchers used the Chi Square test. The research results showed that the majority's anxiety level was moderate anxiety level at 46.7%. The majority of therapeutic communication is good therapeutic communication as much as 63.3%. From the statistical test results, it was found that P value = 0.002, meaning P value < α (0.05). There is a relationship between therapeutic communication and the level of anxiety of primigravida mothers in facing SC delivery at Bhayangkara Brimob Hospital in 2023. Suggestions for hospitals to create educational classes for pregnant women before delivery regarding the birth process Keywords: Communication, Anxiety, Sectio Caesarea
Analisis Kandungan Gizi Protein, Zat Besi dan Uji Daya Terima Pada Nugget yang Berbahan Dasar Hati Ayam dan Tepung Daun Kelor
Authors: Ramadhani Sri Indah
Published: October 2024

ABSTRACT Moringa leaves that are dried and made into flour can increase the value of the nutritional content in them. To analyze the acceptability and protein and iron content of nuggets made from chicken liver and Moringa leaf flour. This type of research is experimental data analysis using the Kruskal Wallis test with the Mann-Whitney further test. The power test results show that the most preferred formula is F4 with the results of the Kruskal Wallis test yielding a P value> 0.05. The results of the analysis of protein levels in the F4 sample were 12.57% while for Iron in F4 it was 5.87 mg. Based on the organoleptic test results of chicken liver nuggets and Moringa leaves, it showed that the sample of chicken liver nuggets and Moringa leaves that had the highest organoleptic test value was F4. Results Based on the analysis of protein and iron content in chicken liver nuggets and Moringa leaves in 100gr samples, the highest protein and iron content was in sample F4 with 12.57gr protein and 5.87gr iron. Keywords: Nugget, Acceptance, Protein, Iron  ABSTRAK Daun kelor yang dikeringkan dan dijadikan tepung dapat meningkatkan nilai kandungan zat gizi di dalamnya. Untuk menganalisis daya terima serta kandungan protein dan zat besi pada nugget yang berbahan dasar hati ayam dan tepung daun kelor. Jenis penelitian ini adalah eksperimental Analisis data yang digunakan uji Kruskal Wallis dengan uji lanjut Mann- Whitney. Hasil uji daya terima menunjukkan bahwa formula yang paling disukai yaitu F4 dengan hasil uji Kruskal Wallis menghasilkan nilai P>0.05. Hasil analisis kadar protein pada sampel F4 sebanyak 12,57% sedangkan untuk Zat Besi pada F4 sebanyak 5,87 mg. Berdasarkan hasil uji organoleptic nugget hati ayam dan daun kelor, menunjukkan bahwa sampel nugget hati ayam dan daun kelor yang memiliki nilai uji organoleptic yang tertinggi adalah F4. Berdasarkan hasil analisis kandungan protein dan zat besi pada nugget hati ayam dan daun kelor dalam 100gr sampel yang paling tinggi kandungan protein dan zat besi pada sampel F4 dengan protein 12,57gr dan zat besi 5,87gr. Kata Kunci: Nugget, Daya Terima, Protein, Zat Besi
Efektivitas Media Visual Leaflet Mnemonic SAMBAS dalam Meningkatkan Pengetahuan dan Keterampilan dalam Melakukan Pertolongan Pertama pada Kecelakaan Lalu Lintas
Authors: Hatmalyakin Debby , Hidayat Uti Rusdian , Akbar Ali , Alfikrie Fauzan , Arisandi Defa , Nurpratiwi Nurpratiwi , Amaludin Mimi
Published: October 2024

ABSTRACT Traffic injuries are one of the main causes of disability and death for children in the world. This high death rate is caused by the low knowledge and skills of first aid workers in providing first aid in accident cases. Therefore, a learning process is needed to improve knowledge and skills using the visual media of the SAMBAS mnemonic leaflet. To determine the effectiveness of the mnemonic SAMBAS leaflet visual media in increasing knowledge and skills in providing first aid in traffic accidents. Quasy Experimental used one group pretest posttest. The sampling technique is non-probability sampling with a quota sampling method with a total of 30 respondents. Statistical analysis used the Wilcoxon test. Based on the research results, the p value = 0.000 shows that there is a change in knowledge after being given the intervention and the p value = 0.000 also explains that there is a change in skills after being given the intervention. The SAMBAS mnemonic leaflet media can increase knowledge and skills in providing first aid in traffic accident cases. Keywords: Leaflet, Mnemonic SAMBAS, Knowledge, Skills  ABSTRAK Cedera lalu lintas menjadi salah satu penyebab utama kecacatan dan kematian anak-anak di dunia. Tingginya angka kematian ini disebabkan oleh rendahnya pengetahuan dan keterampilan penolong pertama dalam memberikan pertolongan pertama pada kasus kecelakaan. Oleh karena itu diperlukan proses pembelajaran untuk meningkatkan pengetahuan dan keterampilan dengan menggunakan media visual leaflet mnemonic SAMBAS. Mengetahui efektivitas media visual leaflet mnemonic sambas dalam meningkatkan pengetahuan dan keterampilan dalam melakukan pertolongan pertama pada kecelakaan lalu lintas. Quasy Experimental menggunakan one group pretest posttest. Adapun teknik sampling yaitu non probability sampling dengan metode kuota sampling dengan jumlah responden 30 orang. Analisis statistik menggunakan uji wilcoxon. Berdasarkan hasil penelitian didapatkan nilai p=0,000 yang menunjukkan terdapat perubahan pengetahuan setelah diberikan intervensi dan nilai p=0,000 juga menjelaskan bahwa terdapat perubahan keterampilan setelah diberikan intervensi. Media leaflet mnemonic SAMBAS dapat meningkatkan pengetahuan dan keterampilan dalam melakukan pertolongan pertama pada kasus kecelakaan lalu lintas. Kata Kunci: Leaflet, Mnemonic SAMBAS, Pengetahuan, Keterampilan
Studi Fenomenologi : Pengalaman Wanita yang Menjalani Kemoterapi atau Radiasi
Authors: Dewi Tri Kesuma , Supardi Supardi , Immawati Immawati , Nurhayati Sri
Published: October 2024

ABSTRACT Cancer is a disease that increases every year, statistics show that women experience breast cancer the most. This research aims to find out what is experienced by patients undergoing cancer treatment, whether chemotherapy or radiation. This research is qualitative research using a phenomenological study method with 4 participants and 2 participants triangulation. Data analysis was carried out using the colaizi method. The results of this study found 3 major themes, namely the patient's experience in dealing with symptoms and the efforts made to treat the symptoms they felt, the patient's experience when undergoing chemotherapy and radiotherapy, the experience of patients and families in dealing with the chemo and radiotherapy process. Chemotherapy and radiation have side effects both physically and psychologically so that they can reduce the patient's quality of life so that patients who will face cancer treatment, both chemotherapy and radiation, must receive good assistance, namely by providing information and psychological assistance. Keyword: Chemotherapy, Radiotherapy  ABSTRAK Kanker adalah penyakit yang meningkat setiap tahunnya, statistic menunjukkan bahwa wanita paling banyak mengalami kanker payudara. Penelitian ini bertujuan untuk menemukan apa saja yang dialami oleh pasien yang menjalani pengobatan kanker baik itu kemoterapi atau radiasi. Penelitian ini adalah penelitian kualitatif dengan metode studi fenomenologi dengan jumlah partisipan 4 dan triangulasi 2 partisipan. Analisa data dilakukan dengan menggunakan metode colaizi. Hasil penelitian ini menemukan 3 tema besar yaitu Pengalaman pasien dalam menghadapi gejala dan usaha yang dilakukan untuk mengobati gejala yang dirasakan, Pengalaman pasien saat menjalani kemo dan radioterapi, Pengalaman pasien dan keluarga dalam mengahadapi proses kemo dan radioterapi. Kemoterapi dan radiasi memiliki efek samping baik secara fisik maupun psikologis sehingga dapat menurunkan kualitas hidup pasien sehingga pasien yang akan menghadapi pengobatan kanker baik itu kemoterapi dan radiasi harus mendapatkan pendampingan baik yaitu dengan pemberian informasi dan penampingan psikologis Kata Kunci: Kemoterapi, Radioterapi
Bibliometric Analysis of Risk Factors Contributing to Maternal Mortality: Trends and Research Directions
Authors: Ariati Haji , Noor Meitria Syahdatina , Sanyoto Didik Dwi , Al Audhah Nelly , Musafaah Musafaah
Published: October 2024

ABSTRACT Maternal mortality remains a significant global health challenge, with high maternal mortality rates in many parts of the world being a key indicator of disparities in maternal health care. While great efforts have been made to reduce these mortality rates, the various contributing risk factors remain a major focus of efforts. This study aimed to conduct a bibliometric analysis of the scientific literature addressing risk factors contributing to maternal mortality over the period 2017 to 2024. In this study, data was obtained from 50 relevant articles retrieved from Google Scholar using Publish or Perish software. The articles were filtered based on relevance and analyzed in depth. The data collected included information on publication year, country of origin, publisher, number of citations, and article type. To generate a comprehensive bibliometric map, VOSviewer was used with the parameters of occurrence of at least 4 and 19 terms, as well as network visualization, overlay, and density. The analysis showed that research on maternal mortality has consistently focused on various risk factors and aspects of maternal health, with a significant emphasis on factors related to pregnancy complications, postnatal care, and socioeconomic health conditions. Developed countries such as the United States are often the primary location of research, indicating a high concentration of studies in these countries. In addition, the research highlighted consistent attention to the importance of adequate health care and specific health issues faced by pregnant women. The analysis also revealed that key themes in the current literature include the management of postpartum hemorrhage, postpartum infections, and the influence of socio-economic factors on maternal health. This study provides valuable insights into current research directions and trends in maternal health and underscores the importance of continuing to identify and mitigate risk factors that contribute to maternal mortality. The findings are expected to guide the development of more effective interventions and health policy strategies that can reduce maternal mortality globally and improve maternal health outcomes worldwide. Keywords: Maternal Mortality, Risk Factors, Bibliometric Analysis, Healthcare Interventions, Research Trends
Analyzing Internet-based resources for import substitution of foreign library software
Authors:   Russian National Public Library for Science and Technology, Smirnov Yury V.
Published: October 2024

The author analyzes the Internet-resources for import substitution, i.e. the Register of Russian Software, Register of Eurasian Software, Russoft, and Russian Software Compatibility Catalog. The author applies the following criteria: authority, relevancy, information exhaustiveness, options of database search, subject search, and matching to foreign software. The findings of the study are also presented in the table. The author concludes that, to acquire complete information of any products, all the above mentioned resources have to be equally used. The paper is prepared under the Government Order to RNPLS&T for 2024 No. 720000F.99.1.BN60AA03000, theme No. 1021062311369-1-1.2.1;5.8.2;5.8.3.