bluuebunny/crossref_metadata_2025_split huggingface dataset:
Representasi Moderasi Beragama dalam Konten Youtube Log In Season 2 Episode 30 Berjudul 6 Pemuka Agama Jadi Satu di Lebaran (Analisis Semiotika Charles Sanders Peirce)
Authors: Zulfan Willy , Nasution Hasan Bakti , Ismahani Siti 
Published: November 2024

<p>Keragaman adalah sebuah keniscayaan bagi suatu negeri, terkhusus Indonesia yang kaya akan kanekaragaman suku, budaya, bahasa dan agama yang tidak mungkin dihilangkan, sehingga sikap yang moderat diperlukan sebagai strategi menjaga dan merawat ke Indonesiaan. Ide dasar moderasi adalah mencari persamaan bukan mempertajam perbedaan. Representasi moderasi beragama dalam konten youtube log in season 2 episode 30 ini menggunakan metode kualitatif dan analisis semiotik sebagai pendekatannya. Semiotika Charles Sanders Peirce yang digunakan oleh penulis adalah model triangle meaning yang terdiri atas: Sign, Object, dan Interpretant. Penulis akan memilih potongan adegan konten youtube log in season 2 episode 30 yang merepresentasikan moderasi beragama dengan menggunakan analisis model triangle meaning. Representasi moderasi beragama dalam konten youtube log in season 2 episode 30 bisa kita lihat berdasarkan indikator moderasi beragama yang empat itu yakni: 1) Toleransi, yang diinterpretasikan dengan kegiatan do’a bersama para pemuka agama dengan kepercayaan masing-masing. 2)Komitmen kebangsaan, diinterpretasikan dengan ucapan Habib Ja’far bahwa kita punya perjanjian yang adil dan agung yang harus kita pegang teguh yaitu Pancasila. 3)Anti Kekerasan, diinterpretasikan dengan perkataan Pendeta Bryan dan Romo Antonius, bahwa semua agama selalu mengajarkan kasih dan cinta, maka dengan kasih dan cinta itu kekerasan akan hilang dan kita akan menjadi saudara. 4)Akomodatif terhadap budaya lokal, diinterpretasikan dengan perkataan Js Kristan, bahwa dia adalah seorang pengikut Konghucu indonesia yang begitu sangat terakulturasi dengan budaya lokal indonesia.</p>
The Role of Financial Development and Capital Formation in Promoting Renewable Energy in Bangladesh
Authors: Rahat Jui Jannat , Kumar Saha Sanjoy 
Published: November 2024

Bangladesh, rich in various resources, stands at a pivotal point where the sustainable use of renewable energy can be significantly increased. This study focuses on analyzing the impact of financial development (FD), foreign direct investment (FDI), economic growth, carbon dioxide emissions, and capital formation on renewable energy consumption in Bangladesh. Using time series data from 1991 to 2020 and employing the ARDL bounds testing approach to cointegration, the study provides a comprehensive analysis of these factors. The results reveal a long-term positive relationship between financial development and capital formation with renewable energy consumption, while FDI and economic growth do not significantly influence renewable energy use in the long run. Conversely, carbon dioxide emissions negatively impact renewable energy consumption in both the short and long term. The short-term analysis further indicates a negative relationship between capital formation, FDI, and renewable energy consumption, but financial development shows a positive and significant impact. These findings emphasize the need to enhance our understanding of the role of capital formation and financial development in promoting renewable energy, not just in Bangladesh but also in other developing and developed nations. To curb environmental damage and increase the use of renewable energy, eliminating fossil fuel subsidies and introducing a carbon tax on non-renewable energy use is crucial. Furthermore, Bangladeshi policymakers should advocate for green financing and allocate more funds to clean renewable energy projects, laying the groundwork for a robust renewable energy economy.

Received: 3 August 2024 / Accepted: 11 November 2024 / Published: 20 November 2024
A Quantitative Analysis of Risk Evaluation in Supply Chains: The Impact of Standardization and Technology Integration on Transport Logistics
Authors: Yamoah Lord Emmanuel , Mensah Ronald Osei , Nyamekye Bright , Kwadwo Peter Kyere 
Published: November 2024

Given that supply chain risk management is critical to the effectiveness, and resilience, of operating transportation logistics, the purpose of this study, essentially, is to examine the effect of standardizing risk evaluation on transportation logistics. Through a quantitative research approach, data is sourced, by surveys, from supply chain professionals, logistics directors, and corporate executives. The study shows that scenario analysis, quantitative risk assessment, qualitative risk assessment, supply chain mapping, and root cause analysis, as well as supply chain diversification, significantly, impact transport logistics performance. However, real-time monitoring, and tracking, are not, strongly, linked to changes in transport logistics performance. By implication, managers need to, first, equip their subordinates with the requisite resources to assist in technology integration; bearing in mind that such resources, aimed at transforming transport logistics performance, will, ultimately, allow these workers to appreciate both the usefulness of any considered technology and the ease of implementing such technology.

Received: 16 August 2024 / Accepted: 13 November 2024 / Published: 20 November 2024
Assessing the Level of Construction Mechanization in Kenya: A Survey of Highrise Building Projects in Nairobi
Authors: Ndolo Dennis Mumo , Diang’a Stephen , Gwaya Oswald 
Published: November 2024

This paper examines the construction mechanization level in high-rise building projects in Kenya. It focuses on Site Preparation and Earthworks (SPE), Scaffolding and Formwork (SF), Concreting (C), Walling (W), Plastering and Flooring (PF), Tiling and Painting (TP), and Building Services (BS). Mechanization, defined as the replacement of manual labour with machines, is analyzed through a quantitative survey involving 125 accredited construction site supervisors with the unit of analysis being the construction project. The findings reveal that SPE tasks predominantly utilize Hand Tools (43%) and Automated Hand Tools (41%), with Machines accounting for only 16%. Comparatively, SF tasks show slightly lower mechanization levels, primarily relying on Hand Tools (50%) and Automated Hand Tools (41%). Concreting is the most mechanized work category with most of the tasks primarily executed using Automated Hand Tools (67%) and Machine/Workstation (26%). Walling tasks mainly rely on Hand Tools (54%) and Automated Hand Tools (33%). PF, TP, and BS tasks predominantly rely on Hand Tools (70%, 77%, and 68% respectively). Consequently, more than half (53%) of the activities in the building construction sector in Kenya are carried out using Hand Tools. This is then followed by Automated Hand Tools with an approximate usage of 31%. Completely Manual methods and Machines (workstations) are used almost similarly at 9% and 7% respectively. None of the activities in construction are Completely Automated (robotized). The mechanization levels for the various work categories are as follows; SPE=52%, SF=47%, C=64%, W=48%, PF=41%, TP=38%, and BS=39%. The overall mechanization level for the construction industry of Kenya was found to be 47%, indicating a substantial reliance on manual methods. Despite the advantages of mechanization, such as improved efficiency and safety, its application in Kenyan construction remains limited. The study highlights the need for increased mechanization to enhance productivity and safety in construction practices
Quantum Interpretation for Measurements in Physics
Authors: Gudrun Kalmbach H.E. 
Published: November 2024

The postulate in the Copenhagen interpretation is for quantum measures that in experiments from a set of operators only a subset of commuting operators can be measured simultaneously, the rest remains undetermined. As example the Stern-Gerlach measure shows for spin a 90 degree change and measures for instance spin up and down of the outcome particles only in the z-direction. The spacial xy-coordinates remain undetermined.Using octonion coordinates [1,2] for the quantum range this view can be applied to all octonion base GF triples which use the three noncommuting Pauli matrices. The coordinates are enumerated by indices 0,1,2,…,7. Entanglements of different GF are possible. Two examples are the spin-lepton cases 123 (for xyz) and 145 (1 for electrical EM charge, 4 for magnetism, 5 for leptonic mass) either in the gyromagnetic relation (EM) or the helicty (neutral leptons).A in the second case the Copenhagen interpretation is extended to a quantum interpretation for measurements of the GF. The systems and energies involved can be different. The neutrino N oscillations show that also the Heisenberg uncertainties HU play a role. Spin is aligned with the space coordinate 1 and the momentum p = mv on 6. The HU means that 1,6 cannot be measured sharp. Hence the leptonic kg measure 5 changes for p along the world line of N stochasticaly, observed as oscillation. The kg GF is 257 and has 6 possible values for leptons. The weights of the three GF coordinates are mostly positive real or complex numbers. There are seven octonion GF 123, 145, 167 (for electromagnetic interaction EMI), 246 (for heat, acoustics), 257, 347 (for rotational energy), 356 (for a nucleon inner dynamics). Beside these are for the strong interaction SI three more GF 126 as rgb-graviton , 345 for its dual Dg and 037 for a newly postulated color charge force cc.The new cc force has a different symmetry than the Pauli quaternions.The six complex cross ratios invariant under the Moebius transformations of the Riemannian sphere are discussed in relation to quantum measures.
Settlement Pattern Features in Mountainous Countries (on the Example of the Republic of Armenia)
Authors: Ghambaryan Gohar G. , Potosyan Aksel H. , Mkhitaryan Vardan G. , Potosyan Vahan A. , Ayriyants Anzhela A. 
Published: November 2024

Despite the current variety in settlement patterns, mountainous countries share certain similarities in features, characteristics, trends, and issues related to settlement patterns. This article discusses the geographical peculiarities of settlement patterns in mountainous countries using the Republic of Armenia (RA) as an example. It then differentiates the types of settlement pattern territorial units in the RA, considering several principles of geographical organization, such as altitudinal zonation, the impact areas of settlement system centers, and border positions.
The analysis of settlement pattern features in mountainous countries, along with the identification of characteristics and typological zoning of settlement patterns, provides a necessary scientific basis for developing and implementing regional policies to regulate settlement patterns.
Large data density peak clustering based on sparse auto-encoder and data space meshing via evidence probability distribution
Authors: Lu Fang 
Published: November 2024

The development of big data analysis technology has brought new development opportunities to the production and management of various industries. Through the mining and analysis of various data in the operation process of enterprises by big data technology, the internal associated data of the enterprises and even the entire industry can be obtained. As a common method for large-scale data statistical analysis, clustering technology can effectively mine the relationship within massive heterogeneous multidimensional data, complete unlabeled data classification, and provide data support for various model analysis of big data. Common big data density clustering methods are time-consuming and easy to cause errors in data density allocation, which affects the accuracy of data clustering. Therefore we propose a novel large data density peak clustering based on sparse auto-encoder and data space meshing via evidence probability distribution. Firstly, the sparse auto-encoder in deep learning is used to achieve feature extraction and dimensionality reduction for input high-dimensional data matrix through training. Secondly, the data space is meshed to reduce the calculation of the distance between the sample data points. When calculating the local density, not only the density value of the grid itself, but also the density value of the nearest neighbors are considered, which reduces the influence of the subjective selection truncation distance on the clustering results and improves the clustering accuracy. The grid density threshold is set to ensure the stability of the clustering results. Using the K-nearest neighbor information of the sample points, the transfer probability distribution strategy and evidence probability distribution strategy are proposed to optimize the distribution of the remaining sample points, so as to avoid the joint error of distribution. The experimental results show that the proposed algorithm has higher clustering accuracy and better clustering performance than other advanced clustering algorithms on artificial and real data sets.
Selecting Balls From Urns With Partial Replacement Rules
Authors: Burden Julian , Chakraborty Chandramauli , Fang Qizhou , Lin Lisa , Malibari Nasser , Matoush Sammi , Milbank Isaiah , Parekh Zahan , Prado Martín , Ren Rachael , Rong Qizhao , Sánchez Garza Maximiliano , Sun Eli , Treviño Enrique , Yamada Daisuke 
Published: November 2024

Consider an urn with an initial state of R red balls and W white balls. Draw a ball from the urn, uniformly at random, and note its color. If the ball is white, do not replace it; if the ball is red, do replace it. Define this sampling rule to be "Preferential". We study the random variable X denoting the number of white balls drawn under the Preferential sampling rule for a sample size n. It is known that the expected number of X is bounded below by 3nW/(4N), and bounded above by nW/N. In this paper we improve the lower bound, give a heuristic for the best possible lower bound, and we explore some properties of a generalization of this sampling rule, we call "Super-Preferential", where the probability of retaining a white ball is w and the probability of retaining a red ball is r.
Desain Kebijakan Daerah Pemilihan Dewan Perwakilan Rakyat Republik Indonesia pada Pemilu Tahun 2024
Authors: Sutianah Sutianah , Yuliawati Fitriyani , Muchariman Randi 
Published: November 2024

This study aims to analyze how the policy design of the Determination of Electoral Areas of the House of Representatives of the Republic of Indonesia with the Policy Design Theory initiated by Anne Larasson and Helen Ingram. This study seeks to analyze how the Regional Policy Design of the House of Representatives of the Republic of Indonesia in the 2024 Election affects democracy in Indonesia. The research method used in this study is qualitative research that is descriptive and interpretive to explain how the policy-making system of the Electoral Region of the House of Representatives of the Republic of Indonesia affects democracy by using a critical approach. The findings of this study are that the policy design of the constituency of the House of Representatives of the Republic of Indonesia in the 2024 election is a design that contains Social Construction. This can be seen from a series of processes contained in the policy-making system said by Helen Ingram and Anne Larasson which consists of the context of society that occurred before the 2024 general election, the dynamics of framing carried out by the group through the events that occurred, the context of the problem influenced by political forces and institutional culture, and finally the dynamics of design influenced by the calculation of opportunities and risks. From a series of processes that occurred, it was obtained that the design of the constituency policy of the House of Representatives itself was a design that damaged democracy.
Modeling Employee Productivity in Malaysia by Priorities Work Life Balance
Authors: Hoo Wong Chee , Anne Grace , Wolor Christian Wiradendi , Wang Annie , Prompanyo Manoch , Shaznie Aminath 
Published: November 2024

Purpose: The main purpose of this study is to investigate the factors that influence employees productivity in Malaysia

Theoretical Framework: The study builds upon existing research and theories on elements that contribute to the performance of employees in all industries. Human Relation Theory and Organizational Adaptation Theory was used in this study due to its relevance and applicability by the human resources departments in all sectors and industries to make sure productivity of employees are achieved.

Design/Methodology/Approach: This study utilizes a quantitative research method and collects data through the distribution of questionnaires. The research design involves gathering data from working adult in Malaysia. A total of 322 responses was collected and analyze via a purposive sampling method.

Findings: In summary, the results of the hypothesis on the most factors that contributes to the productivity of employees reveal that three out of the five is accepted. The accepted independent variable is work from home, work satisfaction and work life balance. Unfortunately, the independent variable work stress and technical perspective been rejected as it does not have significant influence on employee’s productivity.

Research, Practical, and Social Implications: The findings of this study have implications for both research and practice. Understanding the factors that influence employee performance even more deeper during pandemic in Malaysia can assist organizations in creating or come out with ideas and steps to make sure their workers continue to carry out given tasks successfully

Originality/Value: This research adds value by examining the factors that influence employee’s productivity in Malaysia. The study focusses on elements that contribute to the employee behaviors in doing their given task and this has also filled the gap in the current literature in the context of Malaysia.
A Bibliometric Analysis of Audit Delays: Implications for Financial Transparency and Sustainable Development Goals
Authors: Nuraisiah Rohaelis , Ismail Tubagus , Hanifah Imam Abu , Indriana Ina 
Published: November 2024

Objective: This study aims to provide a comprehensive bibliometric analysis of global research on audit delays, with a focus on identifying trends and factors that influence audit timeliness. The study seeks to assess the implications of these delays on financial reporting efficiency and institutional transparency, aligning with the goals of the United Nations' Sustainable Development Goals (SDGs), particularly SDG 16: Peace, Justice, and Strong Institutions.

Theoretical Framework: The research is grounded in the literature on audit timeliness and its impact on corporate governance, financial transparency, and accountability. The study also incorporates sustainability frameworks, particularly SDG 16, which emphasizes the need for transparent and accountable institutions to foster trust and contribute to sustainable development.

Method: This study utilizes a bibliometric analysis to explore global trends in audit delay research from 2020 to 2023. Data were collected using Google Scholar and analyzed using VOSviewer software to map co-authorship, citation networks, and keyword co-occurrence. A total of 999 relevant publications were identified and analyzed.

Results and Discussion: The analysis identified five key clusters of research related to audit delays: company characteristics, auditor tenure, regulatory frameworks, technological advancements, and industry-specific challenges. The findings highlight that larger companies, higher profitability, and complex audit processes often lead to delays. Regulatory requirements such as the Sarbanes-Oxley Act and local regulations in Indonesia were shown to lengthen audit times. Technological innovations such as AI and blockchain have the potential to reduce delays but face uneven adoption. Addressing these delays is crucial for achieving SDG 16 by improving transparency and strengthening institutional governance.

Research Implications: The study underscores the need for tailored solutions to mitigate audit delays in different regions and industries. It calls for increased adoption of technological innovations, improved regulatory frameworks, and context-specific approaches to enhance audit timeliness and institutional accountability, contributing to the broader goals of SDG 16.
Originality/Value: This research provides a novel bibliometric analysis of audit delay literature, highlighting the intersection of financial reporting timeliness with sustainability goals. It offers valuable insights into how addressing audit delays can support the creation of transparent and accountable institutions, which is crucial for achieving SDG 16.
Exploring Gender Roles Through Video Games Literature: Fostering Critical Thinking in Education
Authors: Mansour Ashraf Waleed , Shdouh Ala 
Published: November 2024

Objectives: This study aims to examine the potential of video games as educational tools to challenge and deconstruct traditional gender roles, particularly in conservative societies where gender norms are rigidly enforced.

Theoretical Framework: Grounded in gender studies and critical media analysis, the research explores how video games both reinforce and subvert societal gender stereotypes, offering an innovative avenue for fostering critical thinking and achieving gender equality (SDG 5).

Method: The study employs qualitative content analysis of selected video games, alongside a review of pedagogical practices in gender studies. It further considers cultural contexts to address the resistance to integrating video games into educational frameworks.

Results and Discussion: Findings reveal that while many video games perpetuate stereotypical portrayals—men as strong heroes and women as passive victims—there exists significant potential to use video games to critically engage students with these representations. The analysis highlights how indirect engagement with such media can provoke reflection and discussions about societal gender norms.

Research Implications: The study underscores the need for integrating video games into educational curricula as tools for addressing sensitive cultural topics, providing educators with strategies to navigate resistance while leveraging the medium's unique capacity for critical engagement.

Originality/Value: By addressing the underexplored intersection of video games, education, and gender studies, this research contributes to the discourse on innovative pedagogical tools for advancing gender equality in conservative cultural settings.