bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Model Problem Based Learning Terhadap Hasil Belajar Matematika Materi Penyajian Data
Authors: Hildayanti Afwa Fadlila , Permana Irvan , Handayani Rukmini
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh model Problem Based Learning terhadap hasil belajar matematika materi penyajian data. Pendekatan metode yang digunakan adalah eksperimen quasi dengan dua group di Sekolah Dasar Negeri di Cileungsi. Subjek penelitian ini adalah peserta didik kelas lima yang terdiri dari 52 peserta didik dengan menggunakan teknik sampling jenuh. Penelitian ini dilakukan pada semester genap. Hasil penelitian ini menunjukan bahwa terdapat pengaruh penggunaan model problem-based learning terhadap hasil belajar matematika materi penyajian data. Hal ini terlihat dari nilai N-Gain pada kelompok kelas eksperimen sebesar 80, sedangkan untuk kelompok kelas kontrol mendapatkan nilai N-Gain sebesar 63. Ketuntasan hasil belajar yang diperoleh kelompok kelas eskperimen sebesar 92,5 persen sedangkan pada kelas kontrol sebesar 84 persen. Serta hasil pengujian hipotesis bahwa H0 ditolak dan Ha diterima, karena thitung (3,82624) lebih besar dari t-tabel (2,00856). Dengan ini dapat disimpulkan bahwa penelitian memiliki pengaruh yang lebih baik dan signifikan.
Example Non-Example Method: Students' Learning Outcomes Improvement Regarding Adding and Subtracting Two Fractions with Different Denouncors in Mathematics Subjects
Authors: Mardiani Eulis
Published: August 2024

This research departed from the phenomenon that occurs in the classroom, namely the low understanding and learning outcomes of students in mathematics learning about adding and subtracting two fractions with different denominators using the example non example learning model. Therefore, a teacher needs to consider learning strategies so that they can improve student learning outcomes. This research aims (1) to find out that the example non example learning model can improve students' learning outcomes regarding addition and subtraction of two fractions with different denominators in sixth grader of elementary school. (2) to describe the process of improving student learning outcomes regarding addition and subtraction of two fractions with different denominators before and after using the example non example learning model in sixth grader of elementary school. (3) to measure the magnitude of the increase in students' learning outcomes regarding addition and subtraction of two fractions with different denominators after using the example non example learning model in sixth grader of elementary school. The results of this research show that using the example non-example learning model can be a fun learning variation for students so that it is proven to improve students’ learning outcomes. Before using the example non example learning model, student learning outcomes only reached an average score of 64.10, then there was an increase after using the example non example learning model to 73.08 in cycle 1 and 81.28 in second cycle. From the description above, the researcher concludes that the use of the example non example learning model which is adapted to the learning material can create a pleasant learning situation resulting in an increase in student learning outcomes. Therefore, researchers suggests that the use of the example non-example learning model be socialized and used as an alternative in mathematics learning in schools.
The Role Of Civil Society In Sustainable Agrarian Policy Advocacy
Authors: Pasamai Syamsuddin , Salle Salle
Published: August 2024

Agrarian problems in Indonesia are still complex and have not been resolved completely. Inequality of land tenure, agrarian conflicts, environmental degradation, and land conversion are some examples of problems that continue to occur. In the midst of this situation, the role of civil society becomes important in fighting for sustainable agrarian policies. This research aims to analyze the role of civil society in agrarian policy advocacy in Indonesia. This research adopts a qualitative research method. Data collection is done through literature study. After the data is collected, the analysis is carried out in three stages, namely reducing data, presenting data, and drawing conclusions. The results show that the role of civil society in sustainable agrarian policy advocacy is very important in ensuring social justice, environmental protection, and strengthening the rights of farmers or indigenous peoples related to land. Civil society, through non-governmental organizations (NGOs) and activist networks, acts as a watchdog and critic of agrarian policies issued by the government. In addition, civil society also plays a role in providing education and understanding to local communities about their rights related to land, as well as mobilizing public support to strengthen their demands for equitable agrarian policies.
Exploring Financial Knowledge and Consumer Confidence in Disability Insurance Decisions
Authors: Nkouaga Florent
Published: August 2024

This study examines the factors that affect the uptake of disability income insurance in the United States, specifically focusing on consumer confidence, financial knowledge, and human capital.

Background: Disability income insurance is essential for maintaining financial stability as it provides income for individuals who are unable to work due to health issues. Despite its importance, the adoption of disability income insurance remains low, particularly among certain racial and demographic groups.

Methods: Logistic regression analysis was conducted using data from the 2022 Survey of Consumer Finance to assess the relationships between consumer confidence, financial knowledge, human capital, and various sociodemographic factors. Controls for age, employment status, marital status, and race were included.

Results: The analysis revealed significant racial disparities in insurance uptake. Asian participants exhibited the highest level of reluctance, while financial knowledge was found to positively correlate with insurance acquisition among Black individuals. Generational differences were also observed, with older White and Latino individuals demonstrating a lower inclination towards obtaining insurance.

Conclusion: The findings underscore the importance of culturally sensitive financial education and policies tailored to diverse communities. Improving consumer confidence and financial literacy is crucial for increasing the uptake of disability income insurance, which can enhance economic resilience and well-being across various demographic groups in the United States.
Advancing Localization Accuracy- Fusion of Multiple Positioning Technologies for Robust and Adaptive Solutions
Authors: Nur Siti
Published: August 2024

Accurate localization is crucial for numerous applications, spanning from navigation systems to indoor positioning and asset tracking. However, achieving precise localization remains challenging, especially in environments where traditional positioning technologies face limitations. To address this challenge, this paper proposes a novel approach: the fusion of multiple positioning technologies. By integrating data from GPS, Wi-Fi, Bluetooth, RFID, and other sensors, our framework aims to enhance localization accuracy, robustness, and adaptability across diverse environments. We present a comprehensive fusion algorithm that combines geometric, probabilistic, and machine learning techniques, while incorporating context-awareness mechanisms for adaptive localization. Through simulations and real-world experiments, we demonstrate the effectiveness of our fusion framework in improving localization accuracy and resilience to environmental factors. This research contributes to advancing the state-of-the-art in localization technologies and opens avenues for innovative applications in transportation, healthcare, retail, and beyond.
Study of powders for sintering SiC in the presence of a liquid phase
Authors: Gonçalves Danilo Abílio Corrêa , Sénéchal Naiara Vieira Le , Cardoso Bruno Figueira de Abreu Ferreira , Fortini Jeremias Ismael Nunes , Oliveira Márcio Jardim de , Campos José Brant de , Monteiro Sergio Neves
Published: August 2024

In this study, nanometric powders of silicon carbide (SiC), micrometric alumina (Al₂O₃) and yttria (Y₂O₃), with specific characteristics provided by the manufacturers, were used to investigate the compaction behavior and the resulting properties after sintering. The SiC used has a purity of over 99% and a particle size distribution with a d50 of 40 nm, while Al₂O₃ and Y₂O₃ have purities of 99.8% and 99.995%, respectively. The morphological evaluation of the powders was carried out using scanning electron microscopy (SEM), while the apparent density analysis was conducted using gas pycnometry. SiC mixtures with 1% and 5% Al₂O₃ and Y₂O₃ were prepared and subjected to uniaxial compaction tests to determine densification behavior under different pressures. The results of this study are relevant to the development of ceramic materials with optimized properties for a wide range of industrial applications. The addition of small amounts of oxides to SiC does not compromise its compaction properties, maintaining the effectiveness of the sintering process and resulting in materials with high density and improved mechanical properties.
Symbols in the field: a semiotic analysis of the football shields of bolívar city, colombia
Authors: Bastidas Caro Santiago , García Maribel
Published: August 2024

Football is more than a sport; it is a cultural language that transcends borders. In this document, we explore the semiotics behind the shields of soccer teams in Ciudad Bolívar, Through the analysis of symbols, colors and shapes, we unravel the deep meaning behind these emblems. From local history to global influences, we examine how the shields reflect the identity, values and aspirations of each team and its community. This study offers a unique view of the rich cultural tapestry of soccer in Ciudad Bolívar, providing a deeper understanding of its role in social and cultural life
Trending Algorithm on Twitter through 2023
Authors: H. Hassan Saif Al-Deen , Al-Furiji Hasan , Kareem Rashid Mohammed , Abed Hussein Zahraa , Ambudkar Bhavna
Published: August 2024

Introduction: by doing so, Twitter's trending algorithm sets the benchmark for what online discussion and information flow look like. It must be clearly understood by the researchers and the users as to how it developed and impacted.Objective: this paper discusses the Twitter trending algorithm discussion until 2023, highlighting its aspects and ethical considerations.Method: to demonstrate trend identification, we adopted a cross-sectional approach that involved data mining of trends defined by the Twitter platform from January 2020 to October 2023, applying machine learning techniques. In total, 1,984,544 unique trends were identified in the two cities over the 1584 days of Twitter API research.Results: this research identified that there are many changes in the current trending algorithm regarding Twitter, and current real-time content and users’ participation are the major concerns. The assessed model, known as TrendDetector, predicts the trend of commercials to be 80 %, while the non-commercial trend is assessed to be 60 %. Trend selection was guided by the traffic of tweets, the number of users, and the extent of new content.Conclusions: user-generated activities, content, and spread, as well as the structure and design of the platform, are thus an intricate mix in the case of the trending algorithm on Twitter. It enhances the timely acquisition of information while being associated with preconditions of bias and manipulation. Future research must look at aspects such as the algorithm's transparency and the ethicality of the trends it selects
Enhancing industrial decision-making through Multi-Criteria Decision-Making approaches and ML-Integrated Frameworks
Authors: Mellouli Hala , Meddaoui Anwar , Zaki Abdelhamid
Published: August 2024

Decision-making in current industrial contexts has shifted from intuition to a data-driven approach, requiring prompt processing of huge datasets. However, conventional Multi-Criteria Decision Making (MCDM) methodologies fall short of navigating the intricacy of large datasets. This paper introduces an innovative decision-support system integrating multi-criteria methods with machine learning techniques such as artificial neural networks. The proposed six-step framework aims to optimize operational decisions by analyzing real-time performance data. The research contributes to the advancement of decision-making methodologies in the industrial field, offering dynamic responsiveness and improved recommendations compared to traditional MCDM methods. While results are promising, future work should focus on robustness testing particularly in terms of its dependence on real-time data, to ensure sustained efficacy and mitigate potential biases in recommendations over time.
Predictive analytics on artificial intelligence in supply chain optimization
Authors: Shlash Mohammad Anber Abraheem , Khanfar Iyad A.A , Al Oraini Badrea , Vasudevan Asokan , Suleiman Ibrahim Mohammad , Fei Zhou
Published: August 2024

AI-powered predictive analytics is among the most important ways of optimizing supply chains. This paper on AI-powered predictive analytics will address improving the competitiveness and effectiveness of supply chain operations. Nevertheless, current methods are not always scalable or adaptable to complex supply networks and changing market environments. Therefore, this paper posits that Supply Chain Optimization using Artificial Intelligence (SCO-AI) systems can help with these concerns. SCO-AI employs real-time data analysis and advanced machine learning algorithms which results to reduced response time, enhanced logistics route optimization, improved demand planning as well as real-time inventory control. Thus, the idea herein suggested fits smoothly into existing supply chain frameworks for data-driven decisions that make companies remain agile in ever-changing market dynamics. SCO-AI implementation has seen significant improvements in inventory turnover rate, rates of on-time delivery as well as overall supply chain costs. In this period of high business turbulence, such kind of research builds up the robustness of a given supply chain while at the same time minimizing operational risks by means of simulations and case studies
Enhanced Brain Tumor Segmentation and Size Estimation in MRI Samples using Hybrid Optimization
Authors: Agrawal Ayesha , Maan Vinod
Published: August 2024

The area of medical imaging specialization, specifically in the context of brain tumor segmentation, has long been challenged by the inherent complexity and variability of brain structures. Traditional segmentation methods often struggle to accurately differentiate between the diverse types of tissues within the brain, such as white matter, grey matter, and cerebrospinal fluid, leading to suboptimal results in tumor identification and delineation. These limitations necessitate the development of more advanced and precise segmentation techniques to enhance diagnostic accuracy and treatment planning. In response to these challenges, the proposed study introduces a novel segmentation approach that combines the Grey Wolf Optimization approach and the Cuckoo Search approach within a Fuzzy C-Means (FCM) framework. The integration of GWO and CS is designed to leverage their respective strengths in optimizing the segmentation of brain tissues. This hybrid approach was rigorously tested across multiple Magnetic Resonance Imaging (MRI) datasets, demonstrating significant enhancements over existing segmentation methods. The study observed a 4,9 % improvement in accuracy, 3,5 % increase in precision, 4,5 % higher recall, 3,2 % less delay, and 2,5 % better specificity in tumor segmentation. The implications of these advancements are profound. By achieving higher precision and accuracy in brain tumor segmentation, the proposed method can substantially aid in early diagnosis and accurate staging of brain tumors, eventually leading to more effective treatment planning and improved patient outcomes. Furthermore, the integration of GWO and CS within the FCM process sets a new benchmark in medical imaging, paving the way for future investigation in the field of study
Research on Multimodal College English Teaching Model Based on Genetic Algorithm
Authors: Shlash Mohammad Anber Abraheem , Alshebel Mai , Al Oraini Badrea , Vasudevan Asokan , Shelash Mohammad Suleiman Ibrahim , Jiang Huiying , Al Sarayreh Aktham
Published: August 2024

Analyzing College English texts is essential for quantitatively evaluating their grammar, phrases, and words to enhance their use in writing, conversation, and other contexts. The precise and clear use of College English words, phrases, and sentences is essential to knowledge-based and foundational learning systems. Text data analytics run into problems with data amount, data diversity, data integration and interoperability. It is challenging to accomplish human-computer interaction in spoken College English communication and to assist students with corrections using the conventional methodology of teaching College English. Therefore, this paper proposed the Genetic Algorithm-based intelligent English course optimization system (GA-IECOS) to handle the scheduling above issue of college English classes and optimize college English teaching courses. The results demonstrate that the conventional BP neural network's local scheduling optimization issue may be resolved using the multidirectional mutation genetic BP neural network method. Subsequently, a mix of formative and summative assessments will be used to establish a couple of groups to evaluate the effectiveness using a control population and a trial group of a GA-IECOS for English language classes using a multidirectional mutation genetic algorithm and an optimization neural network. The results demonstrate that the GA-IECOS algorithm is more effective in the classroom and may greatly improve students' English performance
Adaptation and Validation of a Self-Assessment Work Performance Scale for Nursing Staff
Authors: Morales-García Wilter C. , Sairitupa-Sanchez Liset Z. , Mardel Morales-García Mardel Morales-García
Published: August 2024

Introduction: work performance in nursing is crucial for the effectiveness of health services and the quality of patient care. Factors affecting this performance include work motivation, organizational culture, institutional support, and working conditions. The need for accurate tools to measure work performance in specific contexts, such as nursing in Peru, is imperative, especially given the increased demands and pressures brought about by the COVID-19 pandemic. Objective: this study aims to adapt and validate a Short Version of the Self-Assessment Work Performance Scale for Peruvian nursing staff, ensuring its relevance and psychometric accuracy in this specific context. Method: an instrumental design was used with convenience sampling, selecting 409 Peruvian nurses (M=20,22, SD=2,6). The scale, composed of 10 items, was adapted to Spanish and evaluated through confirmatory factor analysis. Reliability measures such as Cronbach's alpha and McDonald's omega were employed, along with invariance analysis to ensure the scale's consistency across sexes. Results: the factor structure confirmed the construct validity of the scale with a good fit in the unifactorial models (χ² = 139,820, df = 35, p < ,001, CFI = 0,94, TLI = 0,93, RMSEA = 0,07, SRMR = 0,03). Reliability was high, with Cronbach's alpha and McDonald's omega of 0,92 for the general model. The scale demonstrated full measurement invariance across sexes, reinforcing its applicability in gender-divided populations. Conclusions: the scale is a valid and reliable tool for assessing work performance in nursing staff in Peru. Its ability to adequately reflect the specific conditions and challenges of this professional group ensures its utility in the continuous improvement of health service quality and effective management of nursing staff in diverse and demanding contexts
Education for Sustainability: A Data-Driven Methodological Proposal for the Strengthening of Environmental Attitudes in University Students and Their Involvement in Policies and Decision-Making
Authors: Ñañez-Silva Miriam Viviana , Lucas-Valdez Guido Rubén , Larico-Quispe Bertha Nancy , Peñafiel-García Yuri
Published: August 2024

Introduction: in the context of global environmental challenges, university education emerges as a fundamental pillar to cultivate proactive attitudes towards sustainability. This research not only seeks to influence individual perceptions, but also the ability of these students to contribute significantly to policies and decision-making processes related to the environment.Objective: implement a methodological proposal that uses educational events, artistic events and social responsibility projects to strengthen attitudes towards environmental sustainability in university students.Method: a quantitative approach and a pre-experimental design were used, applying pre-test and post-test to students from five majors at a public university. The intervention was based on four thematic axes: classification and selection of solid waste, rational use of water, efficient use of electrical energy and university safety.Results: the results revealed positive changes in student attitudes, with significant increases in solid waste classification (from 28 % to 72 %), university safety (from 32 % to 75 %), rational use of water (from 34 % % to 76 %) and energy efficiency (from 43 % to 82 %). In addition, a strengthening of continuous environmental knowledge was observed by 46 %, representing an increase of 81 %.Conclusions: these findings suggest that universities can play a crucial role in promoting environmental educational policies that train professionals committed to nature and future generations, thus contributing to the construction of a paradigm that integrates ethics and socio-environmental responsibility
Worldwide genetic variability of the rs1861868 SNP in the FTO gene associated with obesity
Authors: Flores Sergio V. , Roco-Videla Ángel , Herrera-Soto Joel Antonio , Caviedes-Olmos Marcela , Montaña Román M.
Published: August 2024

Introduction: genetic predisposition to obesity is linked to an imbalance between food intake and energy expenditure, regulated by the nervous and endocrine systems. The FTO gene variants significantly impact obesity susceptibility in different populations. The objective of the research was to analyze the genetic variability of the SNP rs1861868 in the FTO gene and its association with obesity in various populations.Method: genotype data from 1000 Genomes and allele frequencies from ALFRED were analyzed. Moran's I assessed spatial autocorrelation, Hardy-Weinberg equilibrium was tested using VCFtools, and ANOVA compared risk allele frequencies across continents.Results: Moran's I indicated no significant spatial autocorrelation globally, but higher concentrations of the risk allele were observed in Europe. ANOVA showed significant differences in risk allele frequencies among continents, with Europe having the highest frequency. Hardy-Weinberg equilibrium was observed within macro populations but not globally.Conclusions: regional variations significantly impact the distribution of the rs1861868 (T) risk allele. Evolutionary, historical, and demographic are candidate factors that shaped the genetic landscape of the FTO gene related to obesity
Analysis of the application and impact on fundamental rights of the principle of full reparation in Ecuador
Authors: Silva Andrade Guido Javier , Viteri Naranjo Beatriz Del Carmen , Cuji León Stalin Daniel , Maji Gusqui Erick Daniel
Published: August 2024

The article examines the application of the principle of comprehensive reparation in the Ecuadorian Constitution and its impact on the protection and effectiveness of fundamental rights. This analysis is conducted through a bibliographic review, exploring academic literature, legal texts, jurisprudence, and human rights documents, combined with an examination of the Constitution, laws, regulations, government policies, and reports from international organizations. The analysis employs both legal and content analysis methodologies. The result is a study of the legal and jurisprudential framework related to comprehensive reparation, reviewing its implementation in specific cases and its impact on social justice and equity in the country. Additionally, it identifies the challenges and opportunities presented by this approach to strengthen the human rights system in Ecuador.
Impact of decree 707 on citizen security in Ecuador: a legal and constitutional analysis on gun ownership and carrying
Authors: Machado Maliza Mesias Elías , Nicole Alejandra Torres Uquillas , Iglesias Quintana Janneth Ximena
Published: August 2024

Ecuador faces a critical situation with increasing homicides and loss of state authority. Therefore, the article examines the authorization of gun ownership and carrying in Ecuador under Decree 707 issued by President Guillermo Lasso in April 2023, in response to rising insecurity due to organized crime, drug trafficking, and prison crises. This measure has sparked intense debate regarding its appropriateness, constitutionality, and effectiveness in enhancing citizen security. It has divided opinions and raised doubts about its impact on security and human rights. The study employs a legal-correlational approach, using analytical-synthetic and historical-logical methods to dissect and analyze the variables of gun ownership and carrying and their impact on security. The primary finding indicates that government's role is crucial in correctly implementing the provisions of the legislation. Therefore, challenges and opportunities need to be closely monitored.
Summary procedure and presumption of innocence: implications in the Ecuadorian judicial system through a SWOT analysis
Authors: Guambo Llerena Miguel Angel , Gavilanes Capelo Dolores Berthila , Guambo Gavilanes Gabriela Michel
Published: August 2024

The text addresses the expedited procedure in the Ecuadorian judicial system, focusing on its implications for the presumption of innocence and other fundamental rights of the accused. It emphasizes that, while the expedited procedure streamlines the judicial process and reduces the workload of the courts, it also poses significant risks. These include potential violations of the right against self-incrimination, rushed decisions by the accused due to pressures or lack of resources for a full defense, and public perception of transparency shortcomings in agreements. The importance of the presumption of innocence, enshrined in the Ecuadorian Constitution and international treaties, is discussed to ensure a fair process that respects the rights of all involved. Reforms are suggested to balance judicial system efficiency with the protection of individual rights, highlighting the need for continuous training for judicial operators and rigorous oversight of agreements under the expedited procedure.
Factors and effects of the increase in sicariato in Santo Domingo canton: a socio-legal and political analysis
Authors: Calva Vega Yolanda Guissell , Zapata Valencia Deivid Anderson , Cañizares Galarza Fredy Pablo , Montece Giler Salomón Alejandro
Published: August 2024

In Santo Domingo, Ecuador, the alarming increase in sicariato crimes during 2022-2023 has been documented by local judges and prosecutors. This research aimed to analyze the factors and effects of the sicariato rise in Santo Domingo Canton from a socio-legal and political perspective. The goal was to develop effective policies integrating punitive and preventive measures to address underlying socio-economic and cultural factors. Surveys and interviews with judges and prosecutors from the region were used as information gathering methods. Key findings highlight socio-economic inequality, the presence of criminal organizations, and institutional weakness as contributing factors to the issue. Both judges and prosecutors agree on the inadequacy of current criminal policies to effectively mitigate sicariato, emphasizing the urgent need for legal reforms and a comprehensive strategy that includes institutional strengthening and preventive programs.
Access to justice and infrastructure challenges in courts and courts for disabled people in Riobamba
Authors: Piray Rodríguez Paúl Orlando , Narváez Inca Gisella Carolina
Published: August 2024

The research focuses on exploring the doctrinal and jurisprudential criteria that could constitute violations of the right to access justice for people with disabilities in Ecuador. It emphasizes the importance of addressing significant barriers they face when trying to access courts and judicial bodies, particularly those related to architectural obstacles that hinder their full exercise of legal rights. Methods such as observation and surveys were employed, using the Iadov method to assess the satisfaction level of disabled individuals interacting with justice institutions. The results indicated that the dissatisfaction index was -0,792 among females and -0,875 among males. These findings underscore the need for targeted actions and measures aimed at identifying and overcoming these challenges to foster an inclusive judicial system that ensures equal access to justice for all, aligning with Ecuador's constitutional principles of rights and social justice.
An Overview of Information Systems in Auditing: Insights from Bibliometric Research
Authors: Vandapuye Sophia , Jabraoui Siham
Published: August 2024

Academic research on information systems in auditing has witnessed significant growth in the past two decades. This expansive field necessitates clear reference points for effective analysis. To aid researchers in navigating this domain, this bibliometric study identifies prominent trends and influential keywords, offering a comprehensive overview of existing literature. Methodologically, 309 documents from Web of Science and Scopus databases (2004–2024) were selected and analyzed. The bibliometric analysis pinpointed five emerging topics related to distinct technologies: Big Data Analytics, Blockchain, Computer-Assisted Audit Tools, Decision Aid Systems, and Audit Clouds
Satisfaction in university students: a study of library services
Authors: Pérez Sandoval Abraham Gerardo , Avalos Díaz Aransazú , Juárez Solís Sandra , Sandoval Caraveo María del Carmen
Published: August 2024

The university library is a fundamental element in the mission of Higher Education Institutions since it provides a space to obtain information that serves as a basis for scientific knowledge. The objective of this research was to measure the satisfaction of students in the areas of Engineering and Technological Development with library services in a public university in southeastern Mexico. The method was quantitative, descriptive and correlational, with a non-experimental cross-sectional design. The population was 5,278 students and through simple random sampling with 95 % confidence and 5 % error, a sample of 360 students was obtained. The instrument reported a reliability through Cronbach's Alpha of α=0,896. The exploratory factor analysis showed a KMO of ,907, Barlett's test of sphericity gave significant values (X2= 2356,439, gl= 171, p≤ ,000) explaining a total variance of 55,517 % which demonstrates a valid and reliable instrument to measure student satisfaction with library services, the data evidenced a sustainable factor model to measure the construct in four dimensions: accessibility, services, human resources and functionality. The results reported that 25,8 % of the students were dissatisfied, indicating the highest degree of dissatisfaction in the availability of computers and Internet access. This research provides data to be considered for the continuous improvement of library services and contributes with methodological aspects that can be extrapolated to other contexts
Fort-Trust: Safeguarding online transaction by machine learning
Authors: Subramanian Suresh
Published: August 2024

In the digital age, the safety of online transactions has become an important situation for both customers and groups. The increasing sophistication of cyber-attacks necessitates the development of robust and sensible protection mechanisms. "Citadel-believe: Safeguarding online Transactions through device gaining knowledge of" proposes a complete solution leveraging machine studying techniques to decorate the safety of online financial transactions. This method aims to stumble on and mitigate fraudulent activities in real time, presenting a further layer of safety past conventional techniques. e-commerce has completely changed the way people shop, it has also made people more susceptible to online transaction fraud. This problem is addressed by the innovative framework Fort-Trust, which uses the XGBoost algorithm for fraud detection. Fort-Trust incorporates feature correlation analysis to solve a prevalent problem in this field: imbalanced datasets. This strategy aims to maximize detection accuracy while minimizing false positives. The high precision rate that XGBoost delivers, according to the results, is essential for lowering financial losses and increasing user confidence. All things considered, Fort-Trust strengthens the security and dependability of online transactions by providing a strong and useful solution for real-world fraud detection
The Impact of Brand Awareness on Higher Education Institution Revenues: A Case Study of Vietnamese Universities
Authors: Minh Duc Phan , Mai Chinh Vu
Published: August 2024

This paper examines the impacts of brand awareness on the revenue generation of higher education institutions in Vietnam. It highlights the importance of brand awareness in shaping the reputation and perception of educational institutions and influencing students' decisions. The study focuses on the top 5 universities in Vietnam with the highest revenue and employs a mixed-method approach to analyze financial records and brand awareness implementation activities. The findings reveal that brand awareness significantly influences students' choices regarding admission and attracts high-quality students. The study emphasizes the need for universities to effectively convey valuable information to students and enhance their knowledge and familiarity with the brand. It also highlights the importance of well-organized websites, social media engagement, and admission events in enhancing brand awareness and revenue generation. The research provides insights and recommendations for higher education institutions in Vietnam and globally to enhance their brand awareness efforts and improve financial sustainability.
Microscopic polyangiitis, an onset with diffuse alveolar hemorrhage
Authors: Magallanes Bajaña Angelo Andy , Loaiza Correa Karen Patricia , Cabezas Euvin Alex Daniel , Zambrano Gilces Isis Micaela , Navas Vargas Evelyn Patricia , Cortés Morales Mayra Carolina
Published: August 2024

Introduction: antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a group of complex chronic diseases that cause morbidity, systemic organ damage, therapeutic overload, and risk of relapse. Microscopic polyangiitis (MPA) primarily affects small vessels in the lungs and kidneys, characterized by inflammation that can lead to necrosis of blood vessels, presence of ANCA in the bloodstream, and absence of necrotizing inflammation of the parenchyma in histopathology.
Methods: we present the case of a 58-year-old female patient with hemoptysis, fever, and dyspnea.
Results: laboratory tests show anemia, leukocytosis, positive p-ANCA, hematuria, and proteinuria. The CT scan reveals areas of increased attenuation with a ground-glass pattern and centrilobular nodular opacities occupying the middle lobe and both lower lobes. The patient also tested positive for MPO-ANCA, leading to the diagnosis of ANCA-positive vasculitis, specifically microscopic polyangiitis with pulmonary and renal involvement, pneumonia, and renal insufficiency. She received appropriate medical treatment, resulting in adequate resolution.
Conclusions: microscopic polyangiitis requires interdisciplinary management, which, along with radiological findings, contributes to the early diagnosis and timely treatment of the pathology
Clinical case of viability in root canal treatment in an elderly patient with dental attrition
Authors: Espinoza German , Ibarra Ramírez María Belén , Urrego Cueva Gladys Viviana , Reyes Espinoza Libia Karina
Published: August 2024

In root canal treatment, attention to atrial canals is crucial for the restructuring of dental health, especially in elderly patients with dental attrition. Atrial canals, characterized by low internal luminosity due to secondary dentin deposition, pose a challenge for the endodontist. This study reviews the literature on the preparation of these canals, focusing on foraminal permeability and glide path through biomechanical preparation. Instrumentation procedures and the importance of achieving patency or glide path, attained with appropriate instruments before canal preparation, are highlighted. A detailed evaluation and the use of TCHC computed tomography are essential for correctly diagnosing anatomical limitations in the root canal system. The application of internal anatomy and pathophysiology knowledge is vital to achieve favorable outcomes in endodontic treatments
Toxoplasmosis in jungle dog (speothos venaticus): case study
Authors: Villamarín Barragán Darwin Rafael , González Salas Raúl , Vidal del Río Mildre Mercedes , Labrada Ching Jaine
Published: August 2024

This clinical case describes a bush dog (Speothos venaticus), a vulnerable species in Ecuador. The objective was to document a case of toxoplasmosis in a captive specimen at the Yanacocha Animal Rescue Center in the Amazon region of Ecuador. A 2-year-old, 6,7 kg specimen was brought to the VitalPet specialty clinic in Ambato with symptoms of ataxia, lethargy, and anorexia of 24 hours’ duration. Clinical examinations and blood tests, including complete blood count, comprehensive blood chemistry, hemoparasite tests, and immunoglobulin analysis for toxoplasmosis, were performed. Results showed neutrophilic leukocytosis, a hematocrit of 50 %, and slight hyperglycemia. Infections by Ehrlichia, Anaplasma, Lyme, and Dirofilaria were ruled out. Clinical signs and high IgG and IgM antibody titers indicated that the patient was affected by toxoplasmosis
Redefining Education in the Age of Covid-19: Exploring the Potential for E-learning Products
Authors: Sri Tulasi T , Inayath Ahamed S B
Published: August 2024

The COVID-19 pandemic ushered in profound changes in education, compelling institutions to navigate e-learning as a critical lifeline. This study aimed to investigate the perceptions and needs of students, the perspectives and requirements of faculty members, and the preparedness and outlook of educational institution management regarding e-learning adoption. A multifaceted exploration was conducted, focusing on undergraduate students, faculty members, and e-learning platform employees in Hyderabad city, India. Purposive sampling was used to select 395 students, 70 faculty members, and 50 employees. Data were collected through online questionnaires based on a Likert scale and analyzed using the SEM model, t-test, ANOVA, and regression analysis with SPSS-26. The research provided a comprehensive understanding of e-learning's potential during the COVID-19 pandemic. It addressed stakeholders' needs and concerns, offering insights into how e-learning could empower learners, enhance teaching, and create resilient educational systems. This study provides marketers with insights into the transformative potential of e-learning products amidst global educational shifts catalyzed by the COVID-19 pandemic, guiding them in developing tailored solutions that meet the evolving needs of students, faculty, and educational institutions
Empati Sebagai Prediktor Terhadap Forgiveness Pada Mahasiswa Di Kota Makassar
Authors: Putri Salsabila Eka , Zubair Arie Gunawan Hazairin , Minarni Minarni
Published: August 2024

Penelitian ini bertujuan untuk mengetahui kemampuan empati sebagai prediktor terhadap forgiveness pada mahasiswa di Kota Makassar. Penelitian ini melibatkan 874 mahasiswa di Kota Makassar. Pengumpulan data menggunakan dua skala yakni forgiveness yang mengacu pada aspek-aspek forgiveness oleh McCullough, Root dan Cohen (2006) dan skala empati berdasarkan aspek-aspek empati oleh Baron-Cohen dan Wheelwright (2004). Analisis data dilakukan menggunakan teknik analisis regresi sederhana. Berdasarkan uji reliabilitas, skala forgiveness memperoleh hasil sebesar 0,721 dan skala empati memperoleh hasil sebesar 0,758 sehingga dapat disimpulkan bahwa kedua skala dinyatakan reliabel. Hasil analisis memberikan kesimpulan bahwa empati dapat menjadi prediktor terhadap forgiveness pada mahasiswa di Kota Makassar dengan nilai signifikansi 0,000 < 0,05 serta nilai kontribusi sebesar 0,76.
Pengaruh Crowding Terhadap Tingkat Stres Masyarakat Kota Yang Tinggal di Daerah Padat Penduduk Di Kelurahan Suangga Kota Makassar
Authors: Musfirah Musfirah , Taibe Patmawaty , Purwasetiawatik Titin Florentina
Published: August 2024

Penelitian ini bertujuan untuk mengetahui pengaruh crowding dengan tingkat stres masyarakat kota yang tinggal di daerah padat penduduk di Kelurahan Suangga Kota Makassar. Adapun sampel pada penelitian ini adalah masyarakat Kelurahan Suangga Kota Makassar, berusia 18-40 tahun sebanyak 418 responden, menggunakan teknik purposive sampling. Analisis data dilakukan menggunakan teknik analisis regresi sederhana. Hasil penelitian menunjukkan bahwa kontribusi crowding terhadap tingkat stres sebesar 85.9% dengan arah pengaruh positif, jadi semakin tinggi crowding maka semakin tinggi tingkat stres.
Self-Control Dan Emotion Regulation Sebagai Prediktor Terhadap Decision Making Trader
Authors: Mala Christiane Sefanya , Bellani Elvita , Zubair Arie Gunawan Hazairin , Purwasetiawatik Titin Florentina
Published: August 2024

Penelitian ini memiliki tujuan untuk dapat mengetahui Self-Control dan Emotion Regulation dapat menjadi prediktor terhadap Decision Making pada Trader di Kota Makassar. Penelitian ini dilakukan pada 505 Trader di Kota Makassar. Decision Making pada penelitian ini mengacu pada teori Mincemoyer dan Perkins (2003) Self-Control mengacu pada teori Tangeny, Baumeister dan Boone (2004). Sedangkan Emotion Regulation ditinjau dari teori Gross dan John (2003). Alat ukur yang dgunakan pada penelitian ini adalah Self-Control Scale yang diadaptasi oleh Asryanto (2021), Emotion Regulation Questionnare (ERQ) yang diadaptasi oleh Friniar (2022) serta Decision Making Scale by Mincemoyer dan Perkins (2003) yang diadaptasi dan di modifikasi. Analisis penelitian ini menggunakan metode regresi linear berganda. Hasil yang diperoleh menunjukkan bahwa Self-Control dan Emotion Regulation baik secara simultan dan parsial mampu untuk menjadi prediktor terhadap Decision Making Trader di Kota Makassar dengan nilai signifikansi (p< 0.05) dengan besar konribusi Self-Control terhadap Decision Making 24.4%, Emotion Regulation terhadap Decision Making 12.9% dan kontribusi Self-Control dan Emotion Regulation secara bersama-sama sebesar 28.9%.
Tipe Kepribadian HEXACO Sebagai Prediktor Terhadap Adaptabilitas Karir Mahasiswa Di Kota Makassar
Authors: Rahayu Devya , Musawwir Musawwir , Zubair Arie Gunawan Hazairin
Published: August 2024

Tujuan penelitian ini untuk mengetahui Tipe kepribadian HEXACO sebagai prediktor terhadap adaptabilitas karir mahasiswa di kota Makassar. Pebelitian ini melibatkan 693 mahasiswa di kota Makassar. Pengumpulan data dilakukan dengan menggunakan skala adaptabilitas karir berdasarkan dari teori Savickas dan Porfeli (2012) dan skala tipe kepribadian HEXACO yang didasarkan dari tipologi menurut Ashton & Lee (2007). Analisis data menggunakan teknik analisis regresi berganda. Hasil analisis memperoleh beberapa kesimpulan, yaitu: 1) Tipe kepribadian Honesty-Humility, Emotionality, Extraversion, Agreeableaness, Consciousness dapat menjadi prediktor terhadap concern dengan nilai signifikansi p<0,05, berbeda dengan tipe kepribadian Opennes to Experience yang tidak dapat menjadi prediktor dengan niai signifikansi p>0,05. 2) Tipe kepribadian Honesty-humility, extraversion, agreeableaness, consciousness, opennes to experience dapat menjadi prediktor terhadap control dengan nilai signifikansi sebesar p<0,05, berbeda dengan tipe kepribadian emotionality yang tidak dapat menjadi prediktor dengan nilai signifikansi p>0,05. 3) Tipe kepribadian Honesty-humility, emotionality, extraversion, agreeableasness dan consciousness dapat menjadi prediktor terhadap curiosity dengan nilai signifikansi sebesar p<0,05, berbeda dengan tipe kepribadian opennes to experience yang tidak dapat menjadi prediktor terhadap curiosity dengan signifikansi p>0,05. 4) Tipe kepribadian honesty-humility, emotionality, extraversion, agreeableaness, dan consciousness dapat menjadi prediktor terhadap confidence dengan nilai signifikansi sebesar p<0,05, berbeda dengan tipe kepribadian opennes to experience yang tidak dapat menjadi prediktor terhadap confidence dengan nilai signifikansi p>0,05.
Pengaruh Workplace Well-Being Terhadap Intensi Turnover Pada Karyawan Generasi-Z Di Kota Makassar
Authors: Farahtilah Aisyah , Taibe Patmawaty , Minarni Minarni
Published: August 2024

Penelitian ini bertujuan untuk melihat apakah terdapat pengaruh workplace wellbeing terhadap intensi turnover pada karyawan generasi Z di kota Makassar. Sampel pada penelitian ini berjumlah 419 responden yang merupakan karyawan generasi Z di kota Makassar yang diambil dengan menggunakan teknik purposive sampling. Penelitian ini menggunakan teknik analisis regresi sederhana. Hasil penelitian yang diperolah menunjukkan bahwa terdapat pengaruh workplace wellbeing terhadap intensi turnover pada karyawan generasi Z di kota Makassar dengan perolehan nilai Rsquare 0.299, artinya kontribusi pengaruh workplace wellbeing terhadap intensi turnover sebesar 29.9% (Sig. 0.000) dengan koefisien pengaruh arah negatif. Diartikan bahwa semakin tinggi workplace wellbeing maka akan semakin rendah intensi turnover pada karyawan generasi Z di Kota Makassar, begitupun sebaliknya.
Gambaran Empati Pada Remaja Dengan Orang Tua Bercerai
Authors: Michiko Yama Uci , Purwasetiawatik Titin Florentina , Musawwir Musawwir
Published: August 2024

Penelitian ini bertujuan untuk mengetahui bagaimana gambaran empati pada remaja dengan orang tua bercerai di Kota Makassar. Adapun sampel pada penelitian ini adalah remaja di Kota Makassar, berusia 12-25 tahun sebanyak 401 responden, menggunakan teknik purposive sampling. Pendekatan penelitian yang digunakan adalah menggunakan metode kuantitatif. Analisis data yang digunakan pada penelitian ini adalah analisis deskriptif dengan bantuan aplikasi IBM SPSS 20. Hasil penelitian ini menunjukan bahwa empati remaja di Kota Makssar berada dalam 47 responden (11.7%) dengan empati yang sangat rendah, 60 responden (15%) yang memiliki tingkat empati yang rendah, 151 responden (37.7%) yang memiliki tingkat empati sedang, 136 responden (33.9%) yang memiliki tingkat empati yang tinggi, dan untuk tingkat empati sangat tinggi sebanyak 7 responden (1.7%).
Celebrity Worship Dan Perilaku Konsumtif: Studi Pada Penggemar JKT48
Authors: Rumbi Willy , Purwasetiawatik Titin Florentina , Thalib Tarmizi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh celebrity worship terhadap perilaku konsumtif pada penggemar JKT48. Adapun teknik pengambilan sampel menggunakan nonprobability samping dengan metode teknik purposive sampling. Penelitian ini terdiri dari 543 responden penggemar JKT48 berusia 18-40 tahun. Analisis penelitian ini menggunakan metode liner sederhana. Hasil penelitian menunjukan bahwa celebrity worship berpengaruh terhadap perilaku konsumtif dengan besaran pengaruh sebesar 21.3% dengan nilai signifikasi 0.000 (p<0.05) dengan arah pengaruh positif, artinya semakin tinggi celebrity worship maka semakin tinggi perilaku konsumtif.