bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing a Model for Public Monitoring of Public Policies with a Crowdsourcing Approach in the Domain of Public Services
Authors: Keramatinia Zeinolabedin , Daneshfard Karamollah , Mohammadi Marzieh , Pilevari Nazanin
Published: February 2025

The primary aim of this article is to design a model for public monitoring of public policies using a crowdsourcing approach in the domain of public services. The research method employed is mixed (qualitative-quantitative). To conduct the study, in addition to document analysis, thematic analysis using MAXQDA12 software was applied to identify factors influencing the socialization of secondary school students. The statistical population includes all experts in the field of public policymaking, as well as managers and specialists in the domain of public services. A total of 16 interviews were conducted until theoretical saturation was achieved. Each semi-structured interview lasted between 45 and 75 minutes and was conducted with experts in 2023. The interviews were analyzed in terms of basic, organizing, and overarching themes. To assess data normality and sample size adequacy, the Kolmogorov-Smirnov test was utilized, and structural equation modeling was employed to design the model. Based on the semi-structured interviews, three dimensions (macro-level monitoring [external], internal monitoring [organizational], and international monitoring), 11 components (organizing themes), and 53 indicators (overarching themes) were extracted. The results of the Kolmogorov-Smirnov test revealed that the sample size was adequate, and the data were not normally distributed. Furthermore, the final model's findings indicated the effect of macro-level (external) monitoring with a coefficient of 0.758, compared to internal (organizational) monitoring with a coefficient of 0.703 and international monitoring with a coefficient of 0.701. Finally, to validate the model, five factors—philosophy and objectives, theoretical foundations, operational principles, and implementation mechanisms—were used, demonstrating that the model is sufficiently valid.
Advancing Situation Awareness Systems:Evaluating Decision-Making Methods with UAV Applications
Authors: Dehghan Motahareh , Khosravian Erfan
Published: February 2025

Situation awareness (SA) refers to the perception of environmental elements within a specific volume of time and space, understanding their meaning, and projecting their near future status. This model has three levels: perception of the current situation, comprehension of the current situation, and projection of future status. SA is a term used to describe an individual’s level of awareness and understanding of "what is happening". Therefore, SA serves as the first step in decision-making, providing an understanding of "what is happening" and "what is likely to happen". In practice, safe decision-making depends on the continuous extraction of technical and environmental information, integrating knowledge, and forming a coherent mental picture to guide perception and predict future events. The use of this concept is essential for several reasons. First, situation awareness systems improve the accuracy of decisions by providing up-to-date and comprehensive information about the environment. These systems, by delivering precise data and analyses, reduce human errors and ensure that decision-makers consider all relevant factors and data, leading to more accurate decisions. Moreover, situation awareness increases decision-making speed. These systems quickly identify environmental changes and process large volumes of data in a short time, providing decision-makers with relevant information rapidly, which leads to timely and swift decisions.
Structural Modeling of Higher Education Based on Sustainable Development Components Using a Mixed Method (Case Study: South Pars Region)
Authors: Jahanbakhsh Mansour , Hosseinpour Abdul Karim , Hadi Peikani Mehraban
Published: February 2025

The aim of this study is to structurally model higher education based on sustainable development components using a mixed-method approach. This applied research employs a mixed-method (qualitative-quantitative) design. The statistical population includes 12 specialists and academic experts in the field of sustainable development in general, and sustainable development in higher education in particular. In the qualitative section, their opinions were used to identify and code the categories. For the modeling process, the statistical population consisted of faculty members, postgraduate students from the Persian Gulf University, and specialists from the South Pars Special Economic Zone, including experts in environmental sciences, economics, social sciences, and faculty members and postgraduate students from Persian Gulf University. The sample size was calculated using Cochran’s formula for unknown populations, resulting in a sample size of 384 individuals, with a random accessible sampling method. To identify the factors, interviews were conducted, and through open, selective, and axial coding, categories and concepts were extracted. The results of this phase yielded 451 open codes, 24 axial codes, and 8 selective codes. Subsequently, in the next phase, the Delphi technique was used to filter the central, causal, contextual, intervening, strategic, and outcome conditions through three rounds of screening. Ultimately, consensus was reached on 135 open codes. For the modeling process, structural equation modeling and partial least squares (PLS) software were used. The results of the study revealed that the structural modeling of higher education based on sustainable development components, using the mixed method, includes 2 causal conditions and 8 subcriteria, 1 contextual condition and 3 subcriteria, 1 intervening factor and 2 subcriteria, 2 strategies and 5 subcriteria, and finally, 2 major outcomes with 5 subcriteria. These outcomes, ranked by priority, are the development of sustainable projects and businesses (with a factor loading of 0.633) and the management of natural resources and the environment (with a factor loading of 0.524). Consequently, it can be concluded that focusing on sustainable development in the region enhances business development and the conservation and management of natural resources.
Identification and Explanation of the Dimensions, Components, and Indicators of Human Resource Governance Based on National Culture in the Public Sector of Kerman City
Authors: Karimi Afshar Samaneh , Sharafi Shahin , Ranjbar Mokhtar , Salajeghe Sanjar , Nikpour Amin
Published: February 2025

The aim of this research is to identify the dimensions, components, and indicators of human resource governance based on national culture in the public sector of Kerman city. The research method, in terms of its goal, is fundamental-applied, and in terms of execution, it is qualitative, descriptive, and thematic analysis. The statistical population of this study, based on the saturation principle, included 30 university professors, experts, and human resource managers from the executive agencies in the public sector of Kerman city. They were selected using purposeful and snowball sampling methods, based on the inclusion criteria for the study. The data collection tool was semi-structured interviews. The data were analyzed using MAXQDA2020 software and the six-phase thematic analysis approach by Braun and Clarke (2006). To evaluate the validity and rigor of the data, four criteria—acceptability, reliability, transferability, and confirmability—proposed by Lincoln and Guba were applied. Based on the semi-structured interviews, seven dimensions (talent management, human resource development, employee well-being and welfare, integrated human resource policies, human resource roles and responsibilities, human resource risk management, and national culture [Iranian-Islamic]) were identified, along with 22 components (organizing themes) and 78 indicators (basic themes). The results of this research can serve as a practical guide for human resource managers in this area. Furthermore, the contribution of this study to knowledge and its practical application can be found in its focus on the conditions for implementing human resource governance at the national level with an institutional perspective.
How Organizational Climate Influences Innovation: A Qualitative Inquiry into the Commerce Sector
Authors: Mosafer Leila , Bakhshayesh Saba , Dilmaghani Saeeid , Falsafi Fard Mona
Published: February 2025

Methodology: A qualitative research design was employed, using semi-structured interviews with 21 professionals in Tehran’s commerce sector. Purposeful sampling ensured the inclusion of participants with direct experience in organizational innovation. Interviews continued until theoretical saturation was reached, capturing diverse perspectives. Thematic analysis was conducted using NVivo software, identifying key themes and subthemes that explain the influence of organizational climate on innovation. The study identified four main themes: leadership and management practices, work environment and resources, employee engagement and collaboration, and organizational support for innovation. Visionary leadership, effective communication, and resource allocation emerged as critical enablers of innovation. Employee engagement strategies, such as team dynamics and recognition mechanisms, also played a pivotal role. Barriers to innovation included insufficient resources and resistance to change. The findings align with previous studies, emphasizing the importance of a supportive and collaborative climate in fostering innovation. The study highlights the multifaceted role of organizational climate in shaping innovation within the commerce sector. Leadership styles, resource management, and employee engagement are critical drivers of innovation. Organizations should prioritize creating a positive climate by investing in leadership development, enhancing resource accessibility, and fostering a culture of collaboration and recognition. These strategies can enable organizations to remain competitive in rapidly changing markets.
Activation of Artificial Intelligence Technology Capacities in Expanding Economic Strategies and National Macroeconomic Policies with a Piloting Approach
Authors: Aria Parsa Macan , Dalvi Isfahan Mohammad Reza
Published: February 2025

The present study aimed to activate the technological capacities of artificial intelligence in expanding economic strategies and national macroeconomic policies. This research, conducted with a piloting approach to improve the research process through identifying weaknesses, refining tools and methods, and preventing issues that may arise on a larger scale, is applied in terms of its purpose and qualitative in nature, using a data-driven and exploratory approach. It was carried out in two phases. In the first phase, the participants were experts from the industrial and academic sectors (managers of knowledge-based companies in the field of information technology and university professors with a Ph.D. in economics and technology). These participants were selected using purposive sampling based on the principle of theoretical saturation, and 18 individuals were chosen as the sample. The data collection tool was semi-structured and in-depth interviews with participants. Initially, the data obtained from the interviews were implemented based on the systematic approach of Strauss and Corbin, and analyzed in three stages: open coding, axial coding, and selective coding. The validity and analyses conducted were confirmed by the interviewees. In the second phase, the results of the analysis (from phase one) were formulated into a questionnaire and distributed in three rounds using the Delphi method among 42 managers (from startups, organizations, and governmental institutions). In the first round of Delphi, the questionnaire was distributed among 15 experts, and after calculating the Kendall's concordance coefficient of 0.564, 25 components were eliminated. In the second and third rounds of Delphi, the questionnaire was distributed among 15 and 12 individuals, respectively. Since the significance level for all components was less than 5%, no components were eliminated in the second and third rounds, and the Kendall's concordance coefficient was calculated as 0.600 and 0.788, respectively, indicating strong consensus among the members. Finally, the research model was developed with 6 main categories and 55 subcategories.
Designing a Model for the Impact of Viral Marketing in Social Networks Using Adaptive Neuro-Fuzzy Inference Systems
Authors: Ghanbari Afshin , Shirazi Hossein , Adibi Mohammad Amin
Published: February 2025

The aim of this study is to design a model for the impact of viral marketing in social networks using the Adaptive Neuro-Fuzzy Inference System (ANFIS). This research utilizes the Adaptive Neuro-Fuzzy Inference System due to its ability to implement human knowledge through concepts like timestamps and fuzzy rules, its nonlinear nature, adaptability, and superior accuracy compared to other methods in conditions with limited data. These features are among the most significant advantages of ANFIS systems. The MATLAB software was employed in the ANFIS framework to modify inputs and outputs. This research followed the steps of input fuzzification, fuzzy rule base development, fuzzy inference engine construction, aggregation phase, and defuzzification when employing the Adaptive Neuro-Fuzzy Inference System. Value-based marketing relies on the principle that individuals who have used a product or service and had a positive experience share this experience with others, encouraging them to use the product or service as well. Viral marketing is, in a way, a form of partnership where an individual shares their experience with another person who needs the product or service. Due to its broad reach, low cost, high speed, and simplicity, companies can implement controlled viral marketing campaigns through principled and regulatory-compliant marketing efforts, thereby contributing to the growth of the company. This is because, within a short period, many people become familiar with the company and its brand name.
Validation of Loan Applicants Using Environmental, Social, and Governance Indicators
Authors: Aghaei Vahid , Seiedkhani Reza , Mohammadipour Rahmatollah , Faiz Elahi Sadegh , Moradpour Mojtaba
Published: February 2025

This study examines the impact of Environmental, Social, and Governance (ESG) indicators on the selection and ranking performance of corporate banking clients. Given the increasing importance of sustainability in financial systems, this research seeks to investigate the effects of ESG indicators on reducing credit risk and improving financial performance. The data utilized includes information from clients of selected banks in emerging markets and has been analyzed using advanced econometric methods. The results indicate that ESG indicators play a significant role in reducing financing costs and enhancing investor confidence. Furthermore, banks that are leaders in implementing ESG criteria have achieved more sustainable performance through better risk management. Finally, it is suggested that standardized policy and reporting frameworks be designed in developing countries to facilitate the implementation of ESG criteria.
Designing a Comprehensive Model for Health Tourism with a Commercial Orientation
Authors: Chatrouz Azadeh , Azad Naser , Naami Abdallah
Published: February 2025

Tourism has become a method of conducting business worldwide, and health tourism, driven by individuals' need for medical treatment, can also contribute to commercialization efforts. This dissertation aims to design a comprehensive model for health tourism with a commercial orientation. The research employs a mixed-methods approach (qualitative-quantitative). In the qualitative phase, grounded theory was utilized with MAXQDA14 software to identify the indicators related to health tourism with a commercial orientation. Participants in the qualitative phase included informed experts with notable insights and publications in the research domain. Based on the theoretical saturation criterion, 16 participants were purposefully selected. In the quantitative phase, a developmental-applied method was employed. The statistical population for the quantitative phase comprised all healthcare professionals and specialist physicians in six selected public and private hospitals. The total statistical population consisted of 1,406 individuals (based on hospital websites). Cochran's formula was applied to determine the sample size for the quantitative phase, resulting in 306 individuals selected through stratified random sampling. The findings culminated in a paradigmatic model comprising six variables: foundational and constitutive factors, phenomenon, developmental factors, strategic factors, limiting factors, and outcomes. In the quantitative phase, among the components, organizational factors exhibited the highest impact (coefficient = 0.889), while healthcare costs had the least impact (coefficient = 0.718). Ultimately, the final model demonstrated that developmental factors had the greatest influence on strategies (coefficient = 0.918), followed by the main phenomenon's impact on strategies (coefficient = 0.917), foundational factors on the phenomenon (coefficient = 0.914), intervening factors on strategies (coefficient = 0.888), and strategies on outcomes (coefficient = 0.619).
Development of the Self-Management Model Of Employees in Iraqi Sports Organizations
Authors: Saadoon Shengarh Samer , Moshkelgosha Elham , Shaker Jabr Al-Jareeb Habib , khodaparast Mahboobeh
Published: February 2025

The aim of this study is to develop a model of self-management for employees in sports organizations in Iraq. Self-management refers to an individual's ability to independently plan, direct, and monitor their behaviors and activities. This skill helping individuals achieve their goals and perform better. This research is applied in terms of purpose, descriptive-survey in terms of data collection, and qualitative in terms of research typology. Data analysis was performed using thematic analysis strategy. The statistical population of this study consisted of experts from the Ministry of Youth and Sports of Iraq, heads of some sports federations, and university professors in Iraq. The study used purposive sampling, and 16 members of the population were selected using a snowball sampling technique. The results from the analysis of the interviews indicated that the codes extracted from 16 interviews amounted to 315 meaningful sentences, from which 90 primary codes and 43 sub-codes were derived. The final themes extracted were categorized into seven main themes, including self-awareness, self-expression, self-care, self-control, self-development, self-confidence, and self-motivation. This model can serve as an effective strategy for increasing organizational resilience, improving team performance, and achieving long-term goals. Focusing on these components and developing them in employees will pave the way for sustainability and success in sports organizations.
A Qualitative Model of the Indicators and Components of Internal Marketing, Organizational Intelligence, and Organizational Innovation in the Tax Administration of Iran
Authors: Sadat Taheri Esmat , Fattahi Majid , Aghajani Hassanali
Published: February 2025

Today, marketing has become a fundamental and essential element for the success of both profit and non-profit organizations. Given the continuously changing environment and the increasing number of uncontrollable external factors and threats in the market, mere gradual improvement is no longer sufficient. All organizations and companies need to move toward creativity and innovation to ensure their survival and active presence in the market. On the other hand, the aim of organizational intelligence is to accelerate the decoding and transfer of organizational knowledge, identify opportunities, and solve business problems more quickly than in the past. This study aims to propose a qualitative model of the indicators and components of internal marketing, organizational intelligence, and organizational innovation in the Tax Administration of Iran. The research is applied in purpose and uses a thematic analysis method. The sampling method was snowball sampling, and the main data collection method was conducting in-depth interviews with 15 experts, managers, and specialists in the fields of marketing and tax administration until theoretical saturation was reached. The thematic analysis process, following the approach provided by Braun and Clarke (2006), was conducted in six stages. Initially, 213 primary codes were obtained, and after removing duplicate codes, 35 selective codes were extracted. By aggregating the selective codes into broader semantic domains, six main and sub-themes were identified and named. The data were analyzed using MAXQDA software, both separately and in general. In the findings, two sub-themes and 13 basic themes were identified for internal marketing, two sub-themes and 10 basic themes for organizational innovation, and two sub-themes and 11 basic themes for organizational intelligence.
Talent Management: Strategies for Attracting and Retaining Generation Z
Authors: Rahdarpour Javad , Zolfaghari Ahmad , Dahmarde Mahdiyeh , Ostovar Mostafa
Published: February 2025

The present study aimed to examine Talent Management: Strategies for Attracting and Retaining Generation Z. Considering that the objective of this research was to identify and prioritize strategies for attracting and retaining Generation Z using operations research methods, the study is classified as applied research in terms of purpose. Additionally, this research is descriptive and non-experimental regarding data collection methods. Since the study utilized operations research approaches, the population under investigation comprised experts and senior specialists in the relevant field. For data collection, the opinions of 10 experts with substantial work experience, including human resource management in knowledge-based companies, were utilized. A purposive sampling method combined with a snowball technique was employed to identify these individuals. Information collection methods in this research were divided into two categories: library and field studies. In this study, interviews were conducted to identify components, during which experts were asked about strategies for attracting and retaining Generation Z, leading to the identification of relevant factors. Subsequently, the prioritization of these factors was examined using fuzzy AHP. The results revealed that the criterion of utilizing technology and social media ranked first in priority, followed by the criteria of work-life balance, creating a positive employer image, learning and development opportunities, and perceived organizational support, which ranked second to fifth, respectively.
A Novel Structure to Enhance Second Harmonic Generation in Plasmonic Waveguide
Authors: Sarani Mahmoud , Khajeh zadeh Alimorad , Jafari Shabazzadeh Mehdi
Published: February 2025

The graphene plasmonic nano-cavity grating is a novel plasmonic structure that has been proven to significantly boost nonlinear optical second-harmonic production. In this article, we discuss how this structure works (SHG). In the suggested structure, metal niobate is positioned such that it is sandwiched between two distinct metals and a thin sheet of grating-patterned graphene. The combination of two distinct metals in a conductor has the potential to greatly amplify the nonlinear state of the conductor, which will lead to an increase in the specific heat capacity of the conductor. Graphene gratings connect the pump beam to two SPP waves that may cancel each other out, which results in the formation of a stationary SPP wave in the region between the gratings due to the mutual interference that occurs. The distance in between the two gratings will have its distance between them fine-tuned in order to improve the formation of second harmonics. It will be shown that field sweetening in proposed waveguides may result in significant improvements in SHG by optimizing the pure mathematics of the desired structure and using different metals. These two factors are meant to be done in conjunction with one another.
Software Failure Prediction Based on Game Theory and Convolutional Neural Network Optimized by Cat Hunting Optimization (CHO) Algorithm
Authors: Ghaedi Azam , Khatibi Bardsiri Amid , Jafari Shahbazzadeh Mehdi
Published: February 2025

Predicting the failure of software projects in the stages of software production reduces the losses of software companies. Deep learning methods are an efficient tool for software failure prediction. Imbalance of data sets, intelligent feature selection, and accurate deep learning techniques are among the challenges of deep learning methods for accurate software failure prediction. This manuscript presents an improved game theory method based on the Generative adversarial (GAN) network to predict software failure and success. In the second stage, the cat-hunting algorithm is used to select features and reduce the dimensions of the samples. The dimensionally reduced samples are converted into RGB color images in the third step. RGB images are used for convolutional neural network(CNN) training. The advantage of the proposed method is to intelligently select the feature, reduce the input of the CNN neural network, and simultaneously balance the training samples with game theory to increase the accuracy of the prediction model. In this manuscript, the NASA dataset is used to predict the failure of software projects. The accuracy of the proposed method (GCV) in predicting the failure of software projects is equal to 96.69%. The GCV method is more accurate in predicting the failure of software projects than the LSTM and VGG16 methods. The proposed method is more accurate in feature selection than Chi, IG, and ReF WOA, HHO, and JSO algorithms methods.
Design and Validation of a Professional Development Model for Senior Managers at the University of Applied Science and Technology for Sustainable Development
Authors: Poorghasemi Poorya , Parsa Moein Koroush , Afkaneh Soghra
Published: February 2025

The present study aimed to design and validate a professional development model for senior managers at the University of Applied Science and Technology to promote sustainable development. The research employed a qualitative method, specifically meta-synthesis and the Delphi technique. The statistical population included scientific documents and organizational and academic experts. For the systematic literature review, a non-random purposive sampling method was used to select theoretical foundations and prior research (27-item checklist based on the PRISMA model). Similarly, non-random purposive sampling was employed for selecting experts. Data collection for the systematic review involved studying books, journals, online resources, and databases. After selecting the sources, data extraction and translation of relevant texts were conducted. Additionally, semi-structured interviews were used in the expert interview section. In the systematic review section, data collection tools were documentary studies aligned with the research approach of systematically reviewing the literature. Semi-structured interviews were also employed in this part of the study. To assess validity, the term "credibility" was applied. Furthermore, the validity of the questionnaire was established using face validity, content validity, and construct validity. Reliability was calculated and confirmed using Cronbach's alpha and composite reliability coefficients. Data analysis was performed using theoretical coding based on thematic analysis with MAXQDA software. The results indicated that the dimensions of professional development for senior managers at the University of Applied Science and Technology include cognitive development (self-awareness, knowledge acquisition, research competence, and understanding organizational learning processes), behavioral-judgmental development (value development, attitude development, and interest development), managerial-leadership development (organizational management skills, environmental adaptability, functional development, and guidance capabilities), and spiritual-ethical development (leadership ethics, ethical behavior development, and normative development).
ASSESSMENT OF IL-2, IL-10, TNF AND SELENIUM LEVELS IN SICKLE CELL ANAEMIA INDIVIDUALS IN THEIR STEADY STATE ATTENDING NAUTH, NNEWI IN SOUTHEASTERN NIGERIA.
Authors: Nnaemeka Wuraola Serah , Olisekodiaka Madu Japhet , Onuegbu Anaelechi Jude , Aneke Chinawaeze John , Omolara Shobanke Ayobami , Obi Ejeatuluchukwu-alo
Published: February 2025

Background: Sickle-cell anemia (SCA) results from a point mutation, in which an adenine nucleobase in the sixth codon of the globin gene is replaced by a thymine (GAG GTG). The immune-inflammatory system is a complex network of cells and humoral elements that includes many cytokines. Cytokines are peptides used by cells for intercellular communication and for controlling the inner environment of the cells in which they operate. They are produced by cell types that have important roles in the immune response, inflammation, haemopoiesis, healing and systemic response to injury.
Aim: The aim of this study was to assess serum levels of IL-2, IL-10 &TNF in sickle cell disease anemia subjects placed on selenium supplements in their steady state.
Methods: This is a cross- sectional study. A total of fifty aged matched participants were recruited for this study. 50 SCA subjects with sickle cell anemia (SS) were placed on selenium supplements 200mcg for 90 days.IL-2,1L-10& and TNF were measured using enzyme linked immunosorbent assay (ELISA) method.
Results: The result showed that the mean serum level of IL-2, (119.0621.68), significantly reduced while IL-10 and TNF (119.5919.20 and 16.232.83) significantly increased. Significance at (p0.05) after administration of selenium supplements while compared with the baseline values (125.0642.68, 116.4517.30 and 15.963.32) respectively.
Conclusion: SCA is a well-studied monogenetic disease with an established chronic inflammatory component. IL2 is a pro-inflammatory cytokine while both IL 10 and TNF are both anti-inflammatory cytokines. The intake of selenium supplement helped in suppressing the proinflammatory mediator while the protypical anti-inflammatory cytokine stepped their activities.
Contestation and Reactualization of Religious Organizations in Indonesia Post 2024 Election
Authors: Permana Asep Amar
Published: February 2025

Masyarakat multi-kelompok pasti akan mengalami kontestasi dan reaktualisasi kelompok. Asal muasal kontestasi ini dapat ditelusuri kembali pada kesamaan kepentingan, perbedaan sudut pandang, dan keyakinan agama. Halnya dimasyarakat, Islam sendiri khususnya Indonesia memiliki beberapa kelompok organisasi keagamaan salah satunya ada Muhammadiyyah yang didirikan pada tahun 1912 dan Persatuan Islam (PERSIS) pada tahun 1923. Sebagaimana yang diketahui, bahwa ormas Muhammadiyah dan Persis keduanya tidak terlalu memiliki banyak perbedaan, sehingga kedua ormas tersebut dapat dibilang mirip. Tentunya ada beberapa upaya atau strategi yang dilakukan kedua ormas tersebut pasca pemilu 2024. Dengan demikian tujuan penulisan ini adalah untuk mengetahui bagaimana kontestasi dan reaktualisasi ormas keagamaan (Muhammadiyah dan PERSIS) pasca pemilu 2024 khususnya pilpres. Adapun metode penelitian yang dilakukan dalam penulisan ini adalah kualitatif. Hasil penelitian pun menyatakan bahwa kontestasi dan reaktualisasi ormas keagamaan pasca pemilu 2024 adalah strategi atau upaya yang dilakukan ormas guna mencapai agenda sosial dan guna mengamalkan nilainilai sebagaimana visi dan misi yang sesuai dengan ormasnya. Muhammadiyah dan PERSIS berupaya penuh dalam menanggapi keadaan pasca pemilu 2024. Meskipun PERSIS tidak sebanyak Muhammadiyah, tapi ormas tersebut juga aktif dalam berkontestasi dan mereaktualisasi pasca pemilu 2024.
Kata Kunci: Kontestasi dan Reaktualisasi, Ormas Keagamaan
Harmony of Interfaith Communication Based on Economics: Literature Review of Hindu-Muslim Collaboration in Lingsar Village, Lombok
Authors: Maesaroh
Published: February 2025

Penelitian ini mengkaji peran komunikasi lintas agama dalam membangun harmoni ekonomi antara komunitas Hindu dan Muslim di Desa Lingsar, Lombok. Desa ini menjadi contoh nyata kolaborasi dua kelompok agama yang berbeda melalui interaksi di sektor pariwisata, perdagangan, dan kerajinan lokal. Tujuan penelitian adalah menganalisis bagaimana komunikasi lintas agama mendorong sinergi ekonomi yang saling menguntungkan serta memperkuat kohesi sosial. Pendekatan studi pustaka digunakan untuk mengeksplorasi literatur terkait komunikasi lintas agama dan kolaborasi ekonomi. Hasil penelitian menunjukkan bahwa komunikasi yang terbuka dan saling menghormati di Desa Lingsar mampu menciptakan kolaborasi ekonomi yang memperkuat hubungan antaragama. Aktivitas ekonomi bersama, seperti pengelolaan Taman Lingsar, tidak hanya meningkatkan kesejahteraan ekonomi lokal, tetapi juga menjadi sarana mempererat toleransi dan inklusivitas sosial. Kolaborasi ini membuktikan bahwa keberagaman agama tidak menjadi penghalang, melainkan kekuatan yang mendukung pembangunan ekonomi dan sosial. Penelitian ini menyimpulkan bahwa komunikasi lintas agama berbasis ekonomi dapat menjadi model yang efektif dalam menciptakan harmoni sosial di masyarakat majemuk. Dengan modal sosial yang terbentuk melalui kolaborasi ekonomi, masyarakat dapat membangun toleransi yang lebih kuat dan kesejahteraan yang berkelanjutan.
Kata Kunci: komunikasi lintas agama, harmoni ekonomi, kolaborasi Hindu-Muslim, Taman Lingsar, Lombok.
HUBUNGAN ANTARA DUKUNGAN SOSIAL DENGAN KEBAHAGIAAN PADA MAHASISWA DALAM FORUM KOMUNIKASI PELAJAR MAHASISWA SUMATERA SELATAN (FKPMSS) DI SUMATERA BARAT
Authors: Muhammad Izha Afdwikki  , DEVI LUSIRIA
Published: February 2025

This research aims to identify the relationship between social support and happiness in migrant students who are members of the South Sumatra Student Communication Forum (FKPMSS) in West Sumatra. The research uses a quantitative approach with a correlational design. Data was collected through questionnaires from 68 students who were research samples, using simple random sampling techniques. Data analysis was carried out using the correlations test to measure the strength of the relationship between the two variables. The research results show that there is a significant relationship between social support and happiness, where the relationship between the two variables is positive with moderate relationship strength (r = 0.593; p = 0.000). This shows that although the relationship between social support and happiness is not completely strong, other factors may be more dominant in influencing the happiness of overseas students.
Economía circular aplicada a los residuos eléctricos y electrónicos como alternativa socioambiental y estrategia productiva en el cantón Pedro Carbo
Authors: Peñafiel Lino Juan Alberto , Salvatierra Piloz Darwin Marcos
Published: February 2025

El uso de recursos naturales, el desafío de leyes y sostenibilidad ambiental, así como la gestión de residuos, recibe una atención de gran importancia. El objetivo de esta investigación fue analizar la economía circular como una estrategia en el manejo de residuos eléctricos y electrónicos desechados en el cantón Pedro Carbo. El estudio fue descriptivo no experimental. Como técnica se aplicó una encuesta adaptada de una investigación realizada por Oblitas, Sangay, Rojas y Castro en el año 2019 para conocer cómo se lleva el tratamiento de los residuos eléctricos y electrónicos. El estudio se realizó en dos fases: En la primera se revisó bibliografía, se analizó fichas técnicas de los equipos, se realizó investigación de campo a las instituciones objeto de estudio para determinar la aplicación de normativas de responsabilidad extendida y conocimiento del acuerdo ministerial 190 relacionado a la gestión de los Residuos de Aparatos Eléctricos y Electrónicos (RAEE). Como segunda fase se tabuló los resultados, se analizaron y se concluyó con el propósito de identificar la percepción de la oferta de computadoras y equipos remanufacturados. Los objetos de análisis: 5 entidades públicas, 5 privadas, 7 Cyber, 3 talleres técnicos y 3 almacenes de venta de productos tecnológicos, mismos que serán utilizadas como muestra. Se empleó un diseño estadístico para la comparación entre los generadores usando la prueba ANOVA para determinar si los resultados son significativos. Como resultado, se determinó la relación entre el nivel socioeconómico y la aceptación de la computadora y se encontró una correlación significativa entre las variables. Como conclusión se tiene que, la economía circular es una alternativa adecuada a la gestión de residuos eléctricos y electrónicos, observado opiniones positivas sobre estos productos en función de las necesidades informáticas de los usuarios.
Diagnóstico ambiental por descargas de aguas residuales en el río del cantón Jipijapa
Authors: Oscar David Villacreses Pincay , García Rodríguez Reynier
Published: February 2025

La presente investigación: Diagnóstico ambiental por descargas de aguas residuales en el río del cantón Jipijapa, tiene como objetivo caracterizar un diagnóstico ambiental en las descargas de aguas residuales en el río del cantón Jipijapa, se emplearon métodos de nivel teórico, histórico-lógico, análisis-síntesis y de nivel empírico mediante observación científica para constatar el estado actual del río Jipijapa a través de una línea base descriptiva y encuestas aplicadas a los moradores del área de estudio. Se enfatizó en cuestionarios sobre causas de la contaminación, consecuencias de las descargas de aguas residuales y participación ciudadana como estrategia. A nivel matemático-estadístico, se realizaron cálculos porcentuales, promedios y la prueba chi-cuadrado al 95% de significancia, empleando los softwares Microsoft Excel y SPSS Statistics V26. Se discutió en torno a los resultados obtenidos, donde los encuestados demostraron conocimiento sobre los problemas ocasionados por descargas de aguas residuales y las falencias de las redes de alcantarillado. En conclusión, se identificaron los problemas asociados a la deficiencia de las redes de alcantarillado y su impacto en el río del cantón Jipijapa.
The Quantum Code of Singularity: AI, Life Sciences, and the Future of Human Immortality
Authors: Pasupuleti Murali Krishna
Published: February 2025

Abstract
The Quantum Code of Singularity explores the transformative fusion of AI, quantum biology, and life sciences, unveiling groundbreaking advancements that could redefine human longevity and consciousness. This chapter delves into quantum computing’s role in genetic sequencing, AI-driven regenerative medicine, and the emergence of digital immortality through neural uploading. By examining bio-digital convergence, transhumanism, and post-biological intelligence, it investigates how AI-driven cognitive augmentation, molecular simulations, and quantum neurobiology are pushing the boundaries of human evolution beyond mortality. The ethical and philosophical implications of AI-controlled life extension, consciousness replication, and digital afterlife are also explored, raising critical questions about identity, autonomy, and the future of human existence. As quantum singularity accelerates, this chapter provides a compelling vision of a future where AI and quantum intelligence reshape life, consciousness, and the pursuit of immortality.

Keywords
AI, quantum singularity, life sciences, human longevity, transhumanism, bio-digital convergence, regenerative medicine, neural uploading, digital immortality, quantum computing, consciousness replication, molecular simulations, AI-driven intelligence, post-biological evolution, quantum neurobiology
PENGARUH INFLUENCER, BRAND IMAGE TERHADAP KEPUTUSAN PEMBELIAN THE ORIGINOTE MELALUI MINAT BELI(STUDI KASUS MAHASISWA FEB ANGKATAN 2021 UNIVERSITAS BHAYANGKARA JAKARTA RAYA)
Authors: Habibah Siti , Nursal M.Fadhli , Sumantyo Franciscus Dwikotjo Sri
Published: February 2025

Penelitian ini bertujuan menganalisis bagaimana influencer, brand image  mempengaruhi keputusan pembelian the originote melalui minat beli. Hasil pra-survei menunjukkan bahwa minat beli dan tingkat kepuasan mahasiswa terhadap produk the originote tergolong rendah, yang menunjukkan pentingnya meningkatkan keakuratan informasi influencer dan meningkatkan brand image untuk memulihkan keputusan pembeliain terhadap the originote. Penelitian ini menggunakan metode kuantitatif dengan mengumpulkan data melalui kuesioner yang dibagikan kepada 201 mahasiswa FEB di Universitas Bhayangkara Jakarta Raya yang telah memakai the originote. Data tersebut kemudian dianalisis dengan regresi untuk melihat bagaimana variabel influencer dan brand image mempengaruhi variabel keputusan pembelian, dengan minat beli sebagai variabel yang menghubungkan keduanya. Temuan penelitian menunjukkan bahwa influencer dan brand image berpengaruh positif dan signifikan terhadap keputusan pembelian, baik langsung maupun melalui minat beli. Ini menunjukkan bahwa dengan keakuratan sebuah informasi influencer dan memperbaiki brand image, The Originote dapat meningkatkan minat beli, yang kemudian akan memperkuat keputusan pembelian konsumen terhadap produk the originote. Oleh karena itu, The Originote disarankan untuk terus meningkatkan, menjaga, dan memiliki keakuratan pada influencer serta brand image guna mempertahankan minat beli dan keputusan pembelian.
Perception of the Community about the Role of Local Government in Sustainable Development Goals: A Structural Equation Modeling Approach for Khyber Pakhtunkhwa, Pakistan
Authors: Salim Tahir , Khan Alam , Ul Haq Ihtisham
Published: February 2025

The Sustainable Development Goals (SDGs) provide a comprehensive framework for fostering sustainable development by 2030. In alignment with this global agenda, the Government of Pakistan has implemented various policies and initiatives to localize the SDGs, emphasizing grassroots-level development. This study investigates community perceptions regarding the role of local governments (LGs) in achieving the SDGs, focusing on key areas such as poverty alleviation, education, healthcare, water and sanitation, employment and decent work, and environmental sustainability. A survey was conducted across eight Khyber Pakhtunkhwa, Pakistan districts, gathering data from 400 respondents using a five-point Likert scale. Structural Equation Modeling (SEM) techniques were employed to analyze the data and identify the primary factors influencing public perceptions of LG performance in achieving the SDGs. The research explored economic, social, environmental, and governance dimensions, examining how these factors interact to shape community opinions. Findings reveal a positive correlation between LG initiatives and progress in poverty reduction, education, environmental sustainability, and water and sanitation services. However, the study also highlights negative community perceptions regarding LG's performance in healthcare delivery and employment opportunities, particularly in terms of providing quality healthcare services and decent work. Based on these insights, the study offers targeted policy recommendations to enhance LG's effectiveness in achieving the SDGs. These include increased investment in health infrastructure, the expansion of employment programs, measures to strengthen public trust in local governance, and greater community engagement in decision-making processes.
Analisis Kreativitas Siswa dalam Pembelajaran Seni Rupa Anyaman Kain Flanel
Authors: Ridho Muhammad Ainur , Oktavia Devi , Prameisthi Denna Aji , Astuti Devina Dwi
Published: February 2025

This research was conducted at SD Negeri 3 Karangampel on grade V students. This research was conducted with the aim of knowing the creativity of grade V students at SD Negeri 3 Karangampel in learning fine arts through weaving activities using flannel fabric. This study used a narrative qualitative research approach. Data collection in this study applies triangulation techniques, which combine three different approaches to ensure the accuracy and validity of information, namely observation, interviews, and documentation. The subjects in this study were all grade V students of SD Negeri 3 Karangampel totaling 8 students. The results of this study prove that most students at SD Negeri 3 Karangampel have illustrated extraordinary creativity in learning fine arts through flannel weaving artwork. However, a small number of students still need additional encouragement to bring out their creativity in weaving art using flannel, this is motivated by some students who still feel afraid to try new things.
Pemanfaatan Layanan Koleksi Tandon: Studi Kasus Perpustakaan Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan
Authors: Harahap Nurhasanah , Sayekti Retno , Fathurrahman Muslih
Published: February 2025

This thesis discusses the utilization of reservoir collection services at the Syekh Ali Hasan Ahmad Addary Padangsidimpuan State Islamic University Library. The aim to be achieved from this research is to find out how the reservoir collection service is utilized in the library of the Syekh Ali Hasan Ahmad Addary Padangsidimpuan State Islamic University. This research uses descriptive methods with a qualitative approach. By using data collection techniques, namely through observation, interviews and documentation. The informants in this research were librarians at the Syekh Ali Hasan Ahmad Addary Padangsidimpuan State Islamic University library. The results of this research show that the use of reserve collections (tandon) in the library of the Syekh Ali Hasan Ahmad Addary Padangsidimpuan State Islamic University. Reserve collection is a service for the use of textbooks which can be used as a reserve if the collection of textbooks provided in the circulation room has been borrowed by users. Reserve collections can only be photocopied. Its use cannot be loaned, it can only be read on the spot.
Pemanfaatan Koleksi Grey Literature Di Perpustakaan Politeknik Wilmar Bisnis Indonesia (WBI) Skripsi
Authors: Daulay Ardiani , Batubara Abdul Karim , Yusniah Yusniah
Published: February 2025

This research discusses the utilization of grey literature collection at Wilmar Bisnis Indonesia (WBI) Polytechnic Library. This study aims to determine the use of grey literature collections in the Wilmar Bisnis Indonesia Politechnic (WBI) library and to determine the obstacles experienced by users in utilizing grey literature collections in the P-WBI library. This Type of research is descriptive with a qualitative approach. Data collection techniques in this study used observation, interviews an documentation. While the data analysis techniques in this study are data reduction, data presentation and conclusions. This research was conducted at the Wilmar Bisnis Indonesia Polytechnic library. The result of this study show that the use of grey literature collections in the library is well utulized by users in their daily activities to find reference materials to fulfill college assignments or student final projects. The obstacles experienced by users in utilizing grey literature collections are unstable conditions of information accessibility, completeness of collections and disorganization of documents or collections