bluuebunny/crossref_metadata_2025 huggingface dataset:
A Case of Huge Metastatic Diaphragmatic Leiomyoma with Right Atrial Thrombosis
Authors: Kang Sang Hyun
Published: May 2024

A benign metastasizing leiomyoma is a very rare presentation. It is mainly found in female who have a surgical history of uterine leiomyoma. We present a rare case of a huge diaphragmatic metastasizing leiomyoma with right atrial thrombosis. A 47-year-old female visited the cardiothoracic surgery outpatient department because of recurring neck swelling and pain. Contrast-enhanced computed tomography of the neck revealed acute thrombus in the right brachiocephalic vein and acute thrombophlebitis in the superior vena cava, left brachiocephalic vein, and internal jugular vein. Incidental right pleural effusion and large hepatic mass were detected. Low-molecular-weight heparin was used to improve thrombosis before surgery, and a chest tube was inserted to improve right pleural effusion. A large subphrenic tumor originating from the right diaphragm was removed and no liver invasiveness was detected. After surgery she treated using anticoagulant and thrombosis was decreased.
Sudski sporovi oko vakufa carskog kzlarage Mustafe / Judicial Disputes About the Waqf of the Imperial Kızlar Aga Mustafa
Authors: Gadžo Kasumović Azra
Published: May 2024

This paper deals with the establishment of the waqf and the judicial procedures between 1598 and 1652 which disputed the endowment of the Kızlar Aga Mustafa. Numerous judicial processes brought to light the disputes between the administrator of the foundation (mütevelli) and the Sipahi. The Sipahi had difficulties in accepting the change of status, from “Sipahi in the village of Gornja Kloka”, on the area where the kasaba of Novo Jajce was based, into the status of a “Sipahi in the kasaba”. Interchangeable variations in the use of the term “Sipahi in the village” into “Sipahi in the kasaba”, which can occasionally be noticed in the official documents, indicate that gradually a new status of two local Sipahis was being established, whereby they lost a part of their income on which they became accustomed in the preceding period. It could be said that the mentioned conflict, to a certain degree, reflected the clash of interests, from one side between the timar organization as the primary bearer of conquering military operations, in which Sipahis and soldiers from nonurban areas took part, and on the other between the newly established institution of waqf as the bearer of the new urban development of the privileged town area. Namely, the waqf of the Kızlar Aga, beside having significant capital from the beginning, was also given the right to collect the tenth from the waqf estates by the state authorities, and it later received the tenth which was introduced again after the clearing of certain endowed land lots which were, at the time of endowment, not cleared. In that way the waqf was given a significant part of income such as those which were previously given to the Sipahi as the income which held the timar system in power.
Selman Selmanagić i tradicija Bauhausa: koncept “arhitekture izvan četiri zida” / Selman Selmanagić and the Bauhaus Tradition: the Concept of “Outside of Four Walls Architecture”
Authors: Abadžić Hodžić Aida
Published: May 2024

Selman Selmanagić is the only architect and designer from Bosnia and Herzegovina who had a direct contact with the European artistic avant-garde through his education on the most important school of European artistic avant-garde, Bauhaus, where he graduated in 1932. His most important contribution on the preservation of the Bauhaus tradition after the Second World War was marked by his pedagogical work and projects in which he, in an ideologically rigid framework of the erstwhile German Democratic Republic, attempted to keep the basic principles of this school through an emphasized orientation toward the social, political and cultural needs of users and through defining and understanding architecture and design much more broadly than the (mere) issues of form and function.
Arheološka istraživanja srednjovjekovnih nekropola u Kopošićima kod Ilijaša i Divičanima kod Jajca, te popis stećaka na području Hadžića / Archaeological Research of Medieval Graveyards in Kopošići Near Ilijaš and Divičani Near Jajce, with a Survey of Medieval Tombstones on the Area of Hadžići
Authors: Bujak Edin
Published: May 2024

This paper presents preliminary results of archaeological excavations conducted in 2015 on medieval sites with stećak tombstones in Kopošići near Ilijaš and Potkriž in the village of Divičani near Jajce. Also, during the same year a survey of medieval tombstones on the area of the Hadžići municipality was undertaken, encompassing Tarčin, Pazarić and Hadžići, thus complementing the earlier information about the numerical state and allocation of this medieval sepulchral heritage on the said area.
Prvi spomeni Višegrada i Kuknja u srednjem vijeku / The First Mentions of Višegrad and Kukanj in the Middle Ages
Authors: Kurtović Esad
Published: May 2024

The author analyzes the way that the first mention of Višegrad and Kukanj in historical sources has been presented. He notices discrepancies in lexicographical works which have been caused by a distinct lack of verification of claims made in historiographic literature. On the examples of Višegrad and Kukanj he brings to light a new material basis for future lexicographic elaborations. As the main reason for this situation he identifies the absence of modern approaches to the history of Višegrad and Kukanj in the Middle Ages.
The IAI Robot Control System in Researching Phone Speaker Production Lines
Authors: Phuong Thanh Nguyen Thi
Published: May 2024

This article presents research on the IAI Robot control system in a phone speaker production line being operated in Vietnam. In assembly and handling technology, electric actuators are used for linear, rotary, or clamping movements. Single-axis IAI robots become flexible when paired together. IAI robots (Intelligent Actuators) meet significantly high requirements in terms of payload, speed, and travel length. The IAI Robot's control program is programmed on Keyence PLC and uses expansion modules to ensure the IAI Robot's stable operation, high accuracy, and fast processing speed. The results of research, construction, and direct experiments at the factory show that the system operates stably with high accuracy.
IT Consumerization – A Systematic Mapping Study
Authors: Petrović Marijana
Published: May 2024

The use of personal, consumer IT artifacts for business purposes, complementary to or instead of official IT infrastructure is called IT consumerization. Its impact on IT management is significant, and a prerequisite for its successful management is understanding the difficulties and potential that this phenomenon carries. They are highlighted in the paper through a systematic mapping study of current information collected from scientific and professional sources, and are also the basis for further research - a systematic literature review.
The Efficiency Analysis of Agricultural Production in the European Union
Authors: Ivošević Željana , Radovanov Boris , Marcikić Horvat Aleksandra
Published: May 2024

In this paper authors examine relative technical efficiency of agricultural production in the European Union using Data Envelopment Analysis (DEA). Output oriented DEA model with variable return to scale has been applied. Four input variables were used in the model: labour, pesticides, fertilizers and used land. Production has been used as the only output variable. Results of this analysis indicate that the efficiency score values lie between 9% and 100%, with the average efficiency score of 52%. Slovenia, Estonia, Germany and Malta are characterized with the highest efficiency scores, while Cyprus, Finland and Ireland have the lowest efficiency score values. Policymakers can utilize this paper's findings to determine what elements enhance or diminish agriculture's efficiency.
Sport-Oriented Corporate Responsibility
Authors: Gősi Zsuzsanna , Ákos Zsembery Norbert
Published: May 2024

Corporate social responsibility is becoming increasingly important in the way companies communicate and operate. One way of doing this through sport-focused actions. In the case of large companies operating in Hungary, we examined the issue through document analysis. For each company, w compared the actions oriented towards own employes, recreational sports and competitive sports. The results show that organizations can make use of the positive benefits of sport. In their operations, sport is present both in the business sponsorship area and in the area of charity.
The Analysis of the Break Even Point in Selected Companies in Crisis Circumstances
Authors: Cvijanović Suzana , Starčević Vitomir
Published: May 2024

The research is based on the break-even analysis. The sample consists of three selected companies in the Republic of Srpska, whose financial reports are publicly published on the website of the Banja Luka Stock Exchange. The analysis covers the period from 2018 to 2022. The aim is to examine how companies operated and covered fixed costs during a period characterized by increased levels of uncertainty, risk, and challenges. Therefore, it is necessary to determine the break-even point (BEP-break-even point) for each year individually in each of the three companies, to determine the financial performance of the company in the crisis period. The obtained results indicate that the companies performed positively in the entire analyzed period, but worse financial performance is observed in the period 2020-2024. year in all three companies.
The Impact of Digitalization on Sustainable Food Supply Chain Management
Authors: Leković Ksenija , Nuševa Daniela , Vučenović Sonja , Marić Radenko , Marić Dražen , Vukmirović Goran
Published: May 2024

The food supply chain includes all activities from the transformation of inputs to the creation of the final product and its consumption, that is, all activities from the farm to the retail shelf. With the increase in complexity, actors in food supply chains face greater risks in the market so they must follow the latest trends and changes in the food market, and react quickly to challenges. In addition to economic, food supply chain management faces sustainability challenges as well. Instead of focusing only on their own growth and expansion, actors in food supply chains must consider how their business affect the environment and the interests of their communities. On the other side, consumers demand realtime updated information on food they consume and they want to know if the food they are consuming is environmentally and socially sustainable or not. For this reason food product traceability, safety and sustainability issues have become a crucial concern to food retailers and everyone else in the food supply chain. The aim of this paper is to point out digitalization as a solution to those issues. Particularly blockchain as an emerging transformative technology for supply chain management. Secondary data and methods of induction, deduction, synthesis ana analysis were used for the purpose of writing this paper.
Media Mix Budget Allocation
Authors: Djokic Nenad , Milicevic Nikola , Djokic Ines
Published: May 2024

An important topic within marketing communications management is related to media mix budget allocation. In addition to traditional approaches, the new circumstances in which there is the use of digital marketing and the availability of a significantly greater volume of data yielded new possibilities in approaching the topic. Furthermore, one should not neglect the privacy regulations affecting future data availability. In all those considerations, the emphasis on different media effectiveness and its measurement is crucial. In this paper, the authors present different approaches to media mix budget allocation. The secondary research is performed by analyzing scientific papers related to the topic.
Process Innovation as a Result of CRM Mechanisms
Authors: Leković Bojan , Bobera Dušan , Matić Milenko
Published: May 2024

This paper aims to examine the impact of different cooperation mechanisms with customers on the development of process innovation in companies. in ??AP Vojvodina in the Republic of Serbia. Customer collaboration mechanisms include information sharing with customers, joint problem solving with customers, and technology used in customer relationships. In the software package for statistical data analysis Smart PLS 4, a statistical analysis of the data obtained by conducting a questionnaire in companies in AP Vojvodina was performed. The sample includes 31 companies, and its owners or general managers were responsible for filling it out. The results showed that joint problem solving with customers and the application of technology in relations with them significantly and positively affects the development of process innovations. In addition, information sharing with customers also has a positive impact on process innovation, but it is not statistically significant.
Rezension
Authors: Langner Michael
Published: May 2024

Rezension
Andreas Hettiger (2018): Sprachenpolitik an deutschen Hochschulen. Grundlagen und Perspektiven. Baltmannsweiler: Schneider Verlag Hohengehren.
Ansiedad y depresión en celiaquía e intolerancia al gluten
Authors: García Huertas Melissa Aracely
Published: May 2024

PROBLEMA: la celiaquía y la intolerancia al gluten son patologías relacionadas al consumo de gluten que pueden predisponer ansiedad y depresión. OBJETIVO: determinar el nivel de ansiedad y depresión en personas con patologías relacionadas al consumo de gluten. MÉTODO: estudio cuantitativo descriptivo, de corte transversal y método analítico, realizado a 90 personas de 18 años en adelante con patología de celiaquía o sensibilidad al gluten no celíaca, a través del inventario de ansiedad de Beck (BAI), el inventario de depresión de Beck-II (BDI-II) y preguntas sociodemográficas. RESULTADOS: en cuanto a niveles de ansiedad, 30 personas presentaron ansiedad leve (33.3%), 24 ansiedad moderada (26.7%), 21 ansiedad mínima (23.3%) y 15 ansiedad severa (16.7%). En niveles de depresión, 42 personas presentaron depresión mínima (46.7%), 18 depresión moderada (20%), 18 depresión leve (20%) y 12 depresión severa (13.3%). Con respecto al tiempo de diagnóstico, los mayores niveles de ansiedad y depresión significativos (moderada y severa) se encontraron en el rango de 0 a 2 años. CONCLUSIÓN: la depresión y la ansiedad son multicausales; sin embargo, la celiaquía y la sensibilidad al gluten no celíaca son condiciones gastrointestinales que alteran el eje cerebro-intestino-microbiota de manera recíproca y necesitan visibilizarse para un abordaje integral y multidisciplinario.
从全球百余城市低碳发展水平异同看中国城市低碳发展之道
Authors: Qiu Shiyong , Lin Jiaying , Liu Daizong , Jiang Hongqiang , Cao Dong , Wang Yuan , Zhang Hongyu , Li Bo , Liang Chen
Published: May 2024

Conducting the evaluation of low-carbon development of global cities has important guiding significance for the low-carbon city development in China. However, there are no widely accepted and applied low-carbon city indicator frameworks currently. Existing studies either focus on Chinese cities only, or apply to around 10 large world cities, failing to consider the applicability and comparability of a large number of world cities (i.e. more than 100). Therefore, this report is aimed to fill in the above knowledge gaps by developing a low carbon city indicator framework, conducting case studies and putting forward policy recommendations for different types of cities in China. The low carbon city indicator framework can: 1) reflect the low carbon development status of cities; 2) fit for both international and Chinese cities regarding data availability and comparability; 3) applicable to a large number of cities, i.e. more than 100 cities in the world.
时尚服装品牌范围三减碳：基于有限样本的中国经验
Authors: Zhang Mofan , An Zhou , Cao Zijing , Zhang Wenquan
Published: May 2024

服装品牌企业推动范围三（价值链）碳减排对于纺织服装行业减排意义重大。中国作为全球纺织供应链的主要生产国，同时也是众多国际服装品牌的重要市场。因此，服装品牌企业在中国开展范围三碳减排至关重要。 服装品牌企业范围三碳减排所涉及的供应链企业以中小型企业为主，数量众多，分布区域不同，基础设施条件各异。因此，服装品牌企业以及纺织服装行业开展范围三碳减排具有一定挑战。 本文基于文献研究和对十一家在应对气候变化领域开展积极行动的国内外服装品牌企业的访谈，以及行业专家基于样本供应链企业经验的分析，梳理总结出服装品牌企业在中国开展气候行动的基本路径。 本文介绍了服装品牌企业在中国采取气候行动并实现碳减排目标的方式和经验，包括设定科学的碳减排目标、识别价值链各阶段的减排机会、设计行动路线图、信息披露和具体的价值链上下游碳减排措施，并对其中的挑战和启示进行了探讨。
Peran Tenaga Pendidik dalam Implementasi Program Sekolah Ramah Anak di SMP Negeri 33 Surabaya
Authors: Desty Helena Adinda , Muljanah Elmi , Windasari Windasari
Published: May 2024

Penelitian ini mengkaji peran tenaga pendidik dalam implementasi program sekolah ramah anak di SMP Negeri 33 Surabaya. Tujuan utama adalah untuk mengeksplorasi strategi yang diterapkan oleh guru dalam menciptakan lingkungan belajar yang aman, inklusif, dan mendukung perkembangan holistik peserta didik. Dengan menggunakan metode kualitatif deskriptif, penelitian ini mengumpulkan data melalui observasi, wawancara, dan studi dokumentasi. Hasil penelitian mengungkapkan bahwa tenaga pendidik di SMP Negeri 33 Surabaya memainkan peran penting dalam (1) mengintegrasikan metode Kompetensi Sosial Emosional (KSE) ke dalam kurikulum dan kegiatan ekstrakurikuler, (2) melibatkan peserta didik dalam pengambilan keputusan terkait program sekolah, dan (3) mengembangkan karakter peserta didik berdasarkan nilai-nilai Pancasila. Selain itu, guru juga berperan dalam mengidentifikasi dan mengatasi hambatan dalam penerapan program sekolah ramah anak, seperti memastikan lingkungan sekolah yang kondusif, mengidentifikasi dan menangani kasus kekerasan, serta menemukan dan mendukung kebutuhan khusus peserta didik. Penelitian ini juga mengeksplorasi strategi penerapan sukses program sekolah ramah anak di SMP Negeri 33 Surabaya, yang meliputi pelatihan dan pengembangan profesional tenaga pendidik, monitoring dan evaluasi program, serta evaluasi efektivitas program. Temuan penelitian ini memberikan wawasan berharga tentang peran krusial tenaga pendidik dalam menciptakan lingkungan belajar yang ramah anak dan mendukung perkembangan peserta didik secara menyeluruh.
Ambidextrous Leadership On Innovation Performance : The Mediating Role of Employee Creativity At PT Pertamina Patra Niaga Jatimbalinus
Authors: Yudha Pratama Tegar , Kistyanto Anang
Published: May 2024

Research Aims: This study aims to test and analyze the effect of ambidextrous leadership on innovation performance with employee creativity as an intervening variable. 
Design/methodology/approach: This research uses a quantitative approach involving 48 employees at PT Pertamina Patra Niaga Jatimbalinus Retail Function SBM Lamongan Gresik. The sampling technique used a saturated sample of 48 respondents. The statistical analysis used in this research is SEM PLS with the help of SmartPLS 3.2.9 software.
Research Findings: The findings of this study indicate that ambidextrous leadership has no significant effect on innovation performance. Ambidextrous leadership has a significant positive effect on employee creativity. Employee creativity has a significant positive effect on innovation performance. Employee creativity in this study can mediate the influence of ambidextrous leadership and innovation performance.
Theoretical Contribution/Originality: This research provides new insights into ambidextrous leadership on innovation performance through employee creativity.
Keywords: Ambidextrous leadership, innovation performance, employee creativity
Analysis of Load Imbalance in Tarakan Distribution Transformer of PT PLN (Persero) Sukarami Customer Service Unit
Authors:   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Azis Abdul , Rizal Muhammad ,   Student of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Emidiana Emidiana ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Pebrianti Irine Kartika ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Al Amin M. Saleh ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Nurdiana Nita ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Perawati Perawati ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia, Irwansi Yudi ,   Lecturer of Electrical Engineering Study Program, Faculty of Engineering, Universitas PGRI Palembang, Indonesia
Published: May 2024

Load imbalance in an electric power distribution system always occurs and the cause of this imbalance is unbalanced single-phase loads on low voltage network customers. As a result of this load imbalance, a current arises in the neutral of the transformer, which can cause power losses. The aim of the research is to analyse the load imbalance of the Distribution Transformer PC0044, PC0074, PC0088, PC0129, PC1319 on the Tarakan Feeder of PT PLN (Persero) Sukarami Customer Service Unit. The results of the research show that the highest peak load percentage occurs on the PC1319 Distribution Transformer, namely 93.0874%, and based on PLN ED Decree No. 0017.E/DIR/2014, transformer loading. The largest percentage of load imbalance occurs in the PC0044 Distribution Transformer, namely 38.0952%, and based on PLN ED Decree No. 0017.E/DIR/2014, the current imbalance between phases is included in the bad category because the load imbalance is ≥ 25%. The largest percentage of power losses due to neutral current in the transformer neutral conductor occurs in the PC0044 Distribution Transformer, namely 2.6737%, and based on PLN ED Decree No. 0017.E/DIR/2014, the neutral current TR is included in the good category because the power losses due to the neutral current in the transformer neutral conductor are <10%. The largest percentage of power losses due to neutral current flowing to the ground occurs in the PC0044 Distribution Transformer, namely 5.0784%.
Ad Optimization Via Machine Learning: A Focus on Upper Confidence Bound and Thompson Sampling Algorithms
Authors: Ananya Kaul  , Priyam Aneja  , Sarthak Tomar  , Dr Abdul Rahman
Published: May 2024

The objective of this project is to improve the effectiveness and efficiency of advertising on various platforms by utilizing advanced algorithms, namely the Upper Confidence Bound and Thompson Sampling Algorithm. The project aims to find a balance between exploring new advertising strategies and exploiting proven high-performing approaches. By implementing these bandit algorithms, the project aims to dynamically optimize ad placements, formats, and targeting to maximize user engagement and ad revenue. The methodology involves an iterative process of data collection, analysis, and adaptation. The initial phases include defining project objectives, understanding the target audience, and reviewing the current ad strategy. The Upper Confidence Bound algorithm enables intelligent decision-making by assigning confidence bounds to different ad strategies, allowing for efficient exploration and exploitation. On the other hand, the Thompson Sampling algorithm, rooted in Bayesian principles, dynamically adapts based on observed outcomes, striking a balance between exploration and exploitation through probabilistic reasoning. In summary, this Ads Optimization Project utilizes the power of the Upper Confidence Bound and Thompson Sampling algorithms to create a data-driven, adaptive, and user-centric approach to advertising. The ultimate goal is to achieve optimal user engagement and ad revenue.
A new generalization of Tzitzeica curves in arbitrary dimension
Authors: Crasmareanu Mircea
Published: May 2024

We generalize the notion of a Tzitzeica curve r in the nth dimension by using
the constant ratio of the αth power of the Wronskians W(r′) of the derivative curve r′
and the βth power of the Wronskian W(r) of the original curve. In this context, the powers α and β may be seen as control parameters whose interplay determine special classes
of (α, β)-Tzitzeica curves. Our paper is intended to be example–oriented and, therefore,
several intriguing, new families of generalized Tzitzeica curves in the nth dimension, such
as the power and exponential curves, are introduced and discussed in detail. In particular, for n = 2, we show how the (α, β)-Tzitzeica curves are related to the second order
homogeneous linear Schr¨odinger equation.
International Dynamics of UNSCR 1325: A Feminist Critique of Women’s Inclusion in the Democratic Republic of Congo.
Authors: Terna-Ayua Lilian Elochukwu Illuminata
Published: May 2024

Women, when empowered can contribute to the peace, economy, and development of a nation, and since the United Nations Security Council Resolution (UNSCR 1325) was adopted, which aims to promote the gender perspective in conflict contexts and eliminate disparities connected to sexually gender-based violence, its practical impact has encountered a variety of difficulties. Thus, this study seeks to examine the international dynamics hindering women’s inclusion in peace processes in the DRC despite the institution of UNSCR 1325 and the deployment of UN peacekeepers in the country. The study adopts a qualitative analysis and quantitative data from the UN, and other sources to show evidence of women’s marginalization in the DRC. The rationale for using the DRC is due to the recurring instability in the region and to assess the effectiveness of the resolution. This study concludes that the complex construction of the resolution has been a hindering factor for a successful implementation, as well as the lack of women’s inclusion in peacekeeping and negotiation in the conflict process. This research recommends that the National Action Plans should be implemented with the full participation of the women at the grassroots level in the theatre of war, and the need for effective collaboration amongst stakeholders in ensuring peace and stability in the region. The applicability of the feminist theory illustrates how international dynamics coalesce to marginalize DRC women from peacekeeping and peace negotiations, which have affected the possibility of inclusive, effective, and sustainable peace in the DRC.
The Influence of Self-Efficacy and Motivation to Learn to the Self-Regulation of Senior High School Students
Authors: Igbuhay Joshua D. , Samantha Albacite , Asoque Eric D. , Condeza Kenneth B. , Delos Santos Jobilyn L. , Gonzaga Queendell Jilian M. , Magsanay Ruby Jane A. , Mangilid Cindy C. , Mariano Rhea A. , Omisol Jhade B. , Sareno Ellicene Jane P. , Sigue Abigail S. , Tudom Jeffrey Mart P. , Bacayan Joemelyn O. , Clamares Krystal Joy M. , Pelandas Anna Marie O.
Published: May 2024

This study explored the influence of self-efficacy and motivation to learn on the self-regulation of senior high school students at Lorenzo S. Sarmiento Sr. National High School. The main objective was to determine the levels of self-efficacy, motivation to learn, and self-regulation, examining the significant relationships between self-efficacy and self-regulation, and motivation to learn and self-regulation. Additionally, the study aimed to identify which domains of self-efficacy and motivation to learn might significantly influence self-regulation. A quantitative-correlational design was employed, involving 274 respondents from senior high school students in Lorenzo S. Sarmiento Sr. National High School. The statistical tools utilized included mean, Pearson r, and multiple regression analysis. The results indicated a high level of self-efficacy among senior high school students in terms of effort, talent, and context. Similarly, there was a high level of motivation to learn in terms of goal orientation, self-determination, and social engagement. Furthermore, the study revealed a high level of self-regulation in evaluating information, triggering change, and implementing plans. The findings also established a high correlation and significant relationship between self-efficacy and self-regulation, as well as motivation to learn and self-regulation, leading to the rejection of the null hypothesis. All domains of self-efficacy and motivation to learn significantly influenced self-regulation as perceived by senior high school students. Consequently, teachers might consider adapting strategies that enhance students’ self-efficacy and develop motivation to learn to nurture students’ ability to self-regulate. Implementing such methods aligned with the study findings would help students foster a positive atmosphere and enable active engagement in self-regulated learning for academic excellence.
The Impact of Strategic leadership and Committee practices, Ethics Training, and Whistleblowing on Fraud Prevention in Churches
Authors: Senoga Wasswa Asaph
Published: May 2024

Purpose – The purpose of this paper is to examine the impact of strategic leadership and committee practices, ethics training, whistleblowing, and their effects on the Fraud prevention of Churches. Design/methodology/approach – Data were collected from 12 surveys conducted in the church of Uganda dioceses in central Uganda. Regression analysis was conducted to examine the relationships between the impact of Strategic leadership and Committee practices, ethics training, whistleblowing, and fraud prevention. Findings – The findings revealed that strategic leadership and committee practices, ethics training, and whistleblowing significantly contribute to positive fraud prevention for Church finances. Practical implications – In order for Churches to prevent fraud, serious emphasis on strategic leadership, ethics training, and whistleblowing is vital. Originality/value – According to the author’s understanding, this is one of the first empirical studies to assess the impact of strategic leadership and committee practices, ethics training, and whistleblowing on fraud prevention in the Church of Uganda.
CRIME DE ESTELIONATO NA CONTEMPORANEIDADE FRENTE À TECNOLOGIA VIRTUAL
Authors: Aparecida SIlva Marques Thalya
Published: May 2024

A Lei 14.155/21 acaba de entrar em vigor, que introduz emendas ao Código Penal com relação aos crimes de pirataria informática, roubo por estelionato eletrônica, estelionato por estelionato eletrônica, entre outras questões relevantes. A mudança mais importante é a alteração do Artigo 154-A do Código Penal, que criminaliza a invasão de um dispositivo informático com o objetivo de obter, manipular ou destruir dados. Na mesma linha, sob o título "estelionato eletrônica", a nova lei criminaliza a estelionato qualificada pelo uso de meios eletrônicos "se a estelionato for cometida com o uso de informações fornecidas pela vítima ou por terceiros enganados por redes sociais, contatos telefônicos ou pelo envio de e-mails fraudulentos, ou por qualquer outro meio fraudulento semelhante" (art. 171, §2º-A, do Código Penal). Essa mudança na lei é importante pois mostra como a lei esta em consonância com o contexto contemporâneo, onde o avanço da tecnologia virtual tem desencadeado uma série de desafios e oportunidades, especialmente no campo jurídico, onde os crimes cibernéticos, como o estelionato, ganham destaque. Este estudo se propõe a analisar a relação entre o crime de estelionato e a tecnologia digital, investigando de que forma essa última influencia no aumento dessas práticas ilícitas. O objetivo geral é compreender os mecanismos pelos quais a tecnologia virtual potencializa a ocorrência de casos de estelionato.
Teacher Training Program on Secondary Mathematics and Science Teachers’ Attitude and Confidence of Teaching
Authors: Sibomana Aimable , Mukagihana Josiane , Ndiritu Joseph
Published: May 2024

When teachers are confident in their ability to teach Mathematics and Science, it can inspire students to have confidence in their own abilities. Students are more likely to engage with and enjoy these subjects when they see their teacher's interest and belief in the material. This study aiming at exploring teachers' confidence of teaching Mathematics and science as result of Continuous Professional Development (CPD) by the African Institute for Mathematical Science (AIMS Rwanda) through its Teacher Training Program (AIMS-TTP). It employed an ex-post facto research design targeting 351 secondary school teachers. The findings revealed a positive and significant relationship (p<0.05) between AIMS-TTP interventions and teachers’ confidence to teach Mathematics and science. Besides, linear regression model indicated that the dependent variable Teachers’ Confidence to teach Mathematics and science was regressed on predicting variables of improved capacity to plan, adapting teaching to the level of learners, ICT integrated in teaching and learning; learning from peers; addressing cross-cutting issues; effective implementation of the competence-based curriculum (CBC); and the application of bloom’s taxonomy. The independent variables significantly predict teachers’ confidence of teaching Mathematics and science, F (7,326) =183.843, p<0.001, which indicates that the factors under study have a significant impact on teachers’ confidence of teaching Mathematics and science. Moreover, the findings (Adjusted R2 =0.822, F (8, 342) = 197.055, p= 0.000 p<0.05) indicated that 82.2 % of the variance in improved teachers’ attitude in teaching Mathematics and science evidences a significant influence on the total variance. Our research suggests that policy makers should consider developing and endorsing training on innovative teaching and learning methods to boost teachers’ confidence and attitude when it comes to instructing Mathematics and science at basic levels. Trainings should also be extended to Technical Secondary School (TSS) STEM teachers.
 
 
Received: 11 March 2024 | Revised: 30 April 2024 | Accepted: 20 May 2024
 
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement
The data supporting the findings are not accessible to the public because of confidentiality. However, anonymized data can be obtained from the author upon reasonable request.
El peso de las circunstancias en la desigualdad de oportunidades en México: una estimación sobre un conjunto amplio basado en aprendizaje automático
Authors: Torrealba Rodríguez Oscar
Published: May 2024

En esta investigación se calcula el peso de una amplia variedad de circunstancias sobre la desigualdad de oportunidades ex ante, tanto al nivel nacional como regional. Mediante el uso de árboles de inferencia condicional, se realiza la identificación de tipos de individuos determinados por dichas circunstancias, y posteriormente a través de la descomposición de valores de Shapley se estiman los pesos de cada una de ellas. Los resultados confirman la riqueza del hogar de origen como la circunstancia con mayor peso (55%); sin embargo, destaca la importancia encontrada en variables como el tono de piel (10%), así como la participación de una variable no considerada hasta el momento, la posición en el trabajo del principal sostén económico (3%). Se destaca también que al nivel regional hay grandes diferencias en la importancia de cada circunstancia, más allá de la riqueza del hogar de origen o el máximo logro educativo de los padres.
Anticipating Trends and Innovations for A Sustainable Automotive Industrial Revolution
Authors: Krasini S  , H. Jayamangala
Published: May 2024

Graph classification aims to predict the label associated with a graph and is an important graph analytic task with widespread applications. Recently, graph neural networks (GNNs) have achieved state-of-the-art results on purely supervised graph classification by virtue of the powerful representation ability of neural networks. However, almost all of them ignore the fact that graph classification usually lacks reasonably sufficient labelled data in practical scenarios due to the inherent labelling difficulty caused by the high complexity of graph data. The existing semi-supervised GNNs typically focus on the task of node classification and are incapable of dealing with graph classification. To tackle the challenging but practically useful scenario, we propose a novel and general semi-supervised GNN framework for graph classification, which takes full advantage of a slight amount of labelled graphs and abundant unlabelled graph data. In our framework, we train two GNNs as complementary views for collaboratively learning high-quality classifiers using both labelled and unlabelled graphs. To further exploit the view itself, we constantly select pseudo-labelled graph examples with high confidence from its own view for enlarging the labelled graph dataset and enhancing predictions on graphs. Furthermore, the proposed framework is investigated on two specific implementation regimes with a few labelled graphs and the extremely few labelled graphs, respectively. Extensive experimental results demonstrate the effectiveness of our proposed semi-supervised GNN framework for graph classification on several benchmark datasets
Adaptive Critic Design for Event-Triggered Tracking Control in Discrete-Time on Linear Systems with Observers
Authors: Mohamed Faizal. M  , Dr. Krithika D. R.
Published: May 2024

This research pioneers an innovative methodology for the bespoke manufacturing of SquidSkin safety products, meticulously tailored to the distinct requisites of diverse industries encompassing medical, military, and defense sectors. The triple DES algorithm is a three instance of DES on same plain text in blocks of 64 bits and converts them to cipher text using keys of 168 bits. The triple DES encryption process creates cipher text, which is an unreadable, effectively indecipherable conversion of plaintext data, the version of information that humans can read and understand. The output of the encryption process, the triple DES cipher text, cannot be read until a secret triple DES key is used to decrypt it. The delineation of industry- specific manufacturing parameters mandates a nuanced approach to material composition and production processes, culminating in a paradigmatic advancement in safety product customization. Integral to this methodology is a rigorous analysis of industry-specific requirements, guiding the selection of optimal material compositions. This selection is underpinned by a meticulously designed material testing phase, ensuring adherence to exacting industry standards and performance benchmarks. Augmenting this paradigm is an imperative emphasis on fortifying the security framework underpinning the handling of proprietary manufacturing data. The proposal introduces an advanced cryptographic architecture, featuring encryption and decryption protocols. Approach assures heightened efficiency, unwavering reliability, and the preservation of proprietary information across varied industry sectors.
PHISHWIPER: Real Time Scam Website Detection and Blocking using Predictive Attention Model
Authors: M. K. Siva Prakash  , A. Poongodi
Published: May 2024

A data breach is a security event, where sensitive data is accessed without any permission from a website or an organization. An information breach will be considered as the purposeful or accidental gathering of secure or personal data from an organization. A breach can be an accession of a data without any permission, these kinds of regulations should be provided with safe and secured framework but this is not happening in many corporations. So, by analyzing the previous attempts (successful or unsuccessful attacks), the proposed model can be trained to adapt to new scenarios and predict the next breach. Further, this research work has designed a model by using machine learning to defend a website from security breaches. The primary aim of this research work is to create a machine learning model, which trains in Real-time and monitors the website or a system and trains from the state-of-art attacks. The proposed model has created a web application, which takes the data from multiple sources such as Amazon, Flipkart, Snapdeal, and Shop clues, which shows the data that is safe to obtain from the website.
Criminal Identification Web App Utilizes Facial Recognition to Identify and Track Criminals
Authors: V. Shrey Jain  , A. Poongodi
Published: May 2024

Criminal record generally contains all the information both personal and criminal with the photograph of the person. In order to recognize Criminal, identification of some sort is required, designated by eyewitnesses. In most cases the resolution or/and quality of the recorded image sections is unsatisfactory and is difficult to recognize the face. Recognition can be achieved in various different ways like DNA, eyes, finger print, etc. One of the ways is face identification. Since facial recognition technology is powered by artificial intelligence, it can provide excellent results in identifying criminals. Even considering that most people, when committing an illicit activity, try to hide their identity: hiding their faces or covering their faces with scarves, masks, etc. In such cases, AI uses deep learning methods to identify the individual. In this project, proposed a CrimeNet an automatic criminal identification system for Police Department to enhance and upgrade the criminal classification into a more effective and efficient approach using Convolutional neural network algorithms.
One-Stop Flair Slot Booking Platform for All Needs
Authors: Aarthi. R  , Priya. R
Published: May 2024

Pick Your Slot (PYS) is a versatile booking and scheduling web-based application that caters to a single platform for all your needs. PYS offers services ranging from sports such as football, cricket and badminton, personal grooming services like salons, fitness facilities such as gyms, entertainment options like a dance studio, rage room, and car wash services. The platform, built using React.js and React Native for web and mobile respectively, utilizes a SQL database backend supported by Java. It is an open-source application accessible to both customers and vendors. The app facilitates slot booking according to customers’ flexible time, PYS not only accommodates flexible scheduling but also utilizes geolocation API to detect customer locations. This feature enables the app to suggest nearby services tailored to the customer's requirements, leveraging real-time availability updates and offering on-demand services. Real-time availability in our app ensures instant slot booking, adapting to users' dynamic schedules for hassle-free planning. Users can quickly secure appointments, saving time and reducing frustration. Security is paramount, with authentication mechanisms for both vendors and customers. With its blend of intuitive design and advanced functionality, PYS offers a comprehensive solution for booking needs, making it a reliable choice for users seeking convenience and peace of mind. In a world where time is precious, our app offers swift slot bookings, recognizing the impatience of modern life. With just a few taps, users can secure their slots, bypassing unnecessary delays in the nearest location. Designed for speed and convenience, we ensure no one waits longer than necessary.
Data Secure De-Duplication in Cloud Environment
Authors: L. Kavitha  , Sumalatha. V
Published: May 2024

In the current area of information explosion, users’ demand for data storage is increasing, and data on the cloud has become the first choice of users and enterprises. Cloud storage facilitates users to backup and share data, effectively reducing users’ storage expenses. As the duplicate data of different users are stored multiple times, leading to a sudden decrease in storage utilization of cloud servers. Data stored in plaintext form can directly remove duplicate data, while cloud servers are semi-trusted and usually need to store data after encryption to protect user privacy. In this paper, we focus on how to achieve secure re-duplication and recover data in ciphertext for different users, and determine whether the indexes of public key searchable encryption and the matching relationship of trapdoor are equal in cipher text to achieve secure de-duplication. For the duplicate file, the data user’s re-encryption key about the file is appended to the ciphertext chain table of the stored copy. The cloud server uses the re-encryption key to generate the specified transformed ciphertext, and the data user decrypts the transformed ciphertext by its private key to recover the file. The proposed scheme is secure and efficient through security analysis and experimental simulation analysis.
Solar Operated Grass Cutter
Authors: Dr. M. S. Mhaske  , Bharat Ranpise  , Pratic Avhad  , Swapnil Shinde
Published: May 2024

Automated Solar Grass Cutter is a fully automated grass cutting robotic mover powered by solar energy with solar penal that also avoids obstacles and is capable of fully automated grass cutting without the need of any human interaction. The system uses 10V batteries to power the mover movement motors as well as the grass cutter motor. We also use a solar panel to charge the battery so that there is no need of charging it externally. The grass cutter motors are interfaced to an 8051 micro-controller that controls the working of all the motors. It is also interfaced to an ultrasonic sensor for object detection. The micro-controller moves the mover motors in forward direction in case no obstacle is detected. On obstacle detection the ultrasonic sensor monitors it and the micro-controller thus stops the grass cuter motor to avoid any damage to the object/human/animal whatever it is. Micro-controller then turns the robotic as long as it gets clear of the object and then moves the grass cutter in forward direction again
Diabetes Prediction using Machine Learning
Authors: Aryan Sodhi  , Dnyaneshwari Chaugule  , Divya Patankar  , Dr, Bhausaheb Shinde  , Prof. Palak Desai
Published: May 2024

This study explores the application of machine learning for diabetes prediction. Leveraging a dataset of relevant features such as glucose levels, BMI, and family history, various algorithms are employed to develop predictive models. The goal is to enhance early detection and management of diabetes, contributing to more effective healthcare interventions. Results indicate promising accuracy and potential for real-world implementation in preventive healthcare systems. This presents an approach for predicting diabetes using machine learning techniques. With the increasing prevalence of diabetes worldwide, early detection and effective management are crucial for mitigating its impact on public health. Leveraging machine learning algorithms, such as decision trees, support vector machines, and neural networks, this research aims to develop predictive models based on various patient attributes and medical history data. The dataset used for model training and evaluation comprises demographic information, clinical measurements, and lifestyle factors collected from diabetic patients. Through extensive experimentation and evaluation, the performance of different machine learning algorithms is compared in terms of accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). The results demonstrate the efficacy of the proposed approach in accurately predicting diabetes risk, thereby offering valuable insights for preventive healthcare strategies and personalized treatment plans
Urban Mining Index
Authors: Rosen Anja
Published: May 2024

Das Bauwesen ist national wie international die Branche mit dem höchsten Ressourcenverbrauch und Abfallaufkommen. Aufgrund der zunehmenden Ressourcenverknappung und Umweltbelastung ist es geboten, Baustoffe in möglichst geschlossenen, mit der Umwelt verträglichen (konsistenten) Kreisläufen zu führen.

Diesen Ansatz verfolgt das Urban Mining Design, indem das anthropogene Rohstofflager als "urbane Mine" gestaltet und bewirtschaftet wird. Hierfür muss die Kreislaufkonsistenz von Bauwerken als Entwurfsparameter begriffen werden.

In diesem Buch wird eine Systematik vorgestellt, mit der die Kreislaufkonsistenz von Baukonstruktionen und Gebäuden in der Neubauplanung gemessen und bewertet werden kann: der Urban Mining Index. Hierfür wurden Parameter definiert, die die Materialität und die Konstruktion, aber auch die Wirtschaftlichkeit des selektiven Rückbaus abbilden, der Voraussetzung für die Rückgewinnung sortenreiner Wertstoffe ist.

Die zirkulären Baustoffe beziffern mit ihrem Anteil an der Masse aller im Lebenszyklus des Bauwerks verbauten Materialien das Gesamtergebnis: den Urban Mining Indicator.