bluuebunny/crossref_metadata_2025 huggingface dataset:
Aerodynamic Investigation of Fixed - Pitch Aircraft Propeller
Authors: Kaygan Erdogan , Dogan Dogukan , Alpagut Ozan Mahir
Published: November 2024

An investigation of fixed - pitch propeller aerodynamics is described in this paper. The impetus for the work was to identify the proposed propeller’s efficiency, thrust coefficient, power coefficient, and pressure contours. All computational analyses were performed using Computational Fluid Dynamics (CFD) software called Cradle scFLOW. During the simulation process, velocity was set to 60 knots (30.87 m/s) and the initial RPM (Revolution per Minute) was kept constant at 3100 to specify efficiency. Subsequently, the RPM value was varied to achieve thrust force. According to results, a thrust value of 1700N was achieved and propeller efficiency was found 0.79. Thrust value was then compared with the data obtained from experimental studies and the notable match was achieved. An increase in advance ratio was found to raise propeller efficiency at some point, and then reduction was observed in terms of efficiency due to thrust reduction. After these investigations, the obtained thrust force was compared with experimental data. The CFD results indicated a good agreement with the experimental results.
Effectiveness of Different Packaging Materials on Storage Ability of Lime (Citrus aurantiifolia Swingle)
Authors: Reddy P. Manoj , Kumar Alok , Piloo Ng. , Joykumar Ng. , Singh N. Gopimohon , Sharma Malay Marut
Published: November 2024

The present study was undertaken at the Department of Horticulture, College of Agriculture, Iroisemba, Central Agricultural University, Imphal during 2021–2022 with the objectives to study the effectiveness of different packaging materials on shelf life of lime and their impact on quality of fruit during storage. Acid lime is one of the important commercial cultivar in India. The genus is significant economically because many of its species are grown for their fruit, which is consumed raw or pressed to extract juice that is then preserved to make pickles and marmalades. Experimental design was followed in Randomised Block Design (RBD) constituting eight treatments combinations as follows: T1: Low density polyethylene (LDPE) bags without ventilation, T2: Low density polyethylene (LDPE) bags with 1% ventilation, T3: Low density polyethylene (LDPE) bags with 3% ventilation, T4: Low density polyethylene (LDPE) bags with 5% ventilation, T5: Tray overwrapping with cling film, T6: Vacuum packging, T7: Plastic punnet, T8: No Packaging (control). Physiological loss in weight (%), decay percentage (%), specific gravity (g cm-3), TSS (ºBrix), titrable acidity (%), TSS acid ratio, ascorbic acid (mg 100 ml-1) and sensory quality of the fruits were recorded at fixed interval of time period. From the obtained result, it can be concluded that vacuum packaging was found to be best treatment for extending shelf life of lime up to 36–38 days maintaining a low physiological loss in weight, good sensory, minimum spoilage and other physio-chemical characters at the same time under ambient condition of storage.
Enseñanza híbrida como estrategia en educación media superior en el centro de estudio de bachillerato 5/12 Gregorio Torres Quintero
Authors: Valenzuela Montaño Ana Lucia , Montaño Cota Ángela , Valenzuela Montaño Mara Guadalupe
Published: November 2024

El tema de la enseñanza híbrida como estrategia en la educación media superior, específicamente en el Centro de Estudios de Bachillerato 5/12 Gregorio Torres Quintero, abordó un aspecto crucial y controversial del proceso enseñanza-aprendizaje: la planeación didáctica. Esta investigación se realizó desde una doble perspectiva, enfocándose en las prácticas llevadas a cabo en el centro educativo conocido como "El Pedagógico".
El propósito principal de esta investigación cuantitativa, descriptiva y no experimental fue evaluar el impacto de la modalidad híbrida y determinar las dificultades que enfrentan tanto alumnos como profesores en el ámbito académico. Para conocer los argumentos de ambos grupos, se evaluó el impacto de la modalidad híbrida en el Centro de Estudios de Bachillerato Gregorio Torres Quintero, ubicado en la ciudad de Navojoa, Sonora. La metodología incluyó la aplicación de un cuestionario de Google Forms a 24 docentes y 320 alumnos para identificar las dificultades encontradas.
Al concluir la investigación, se logró identificar el impacto de la modalidad híbrida en la enseñanza y el aprendizaje desde las perspectivas de docentes y alumnos.
Data Explosion, Circular Solution: How Refurbished Drives Can Bridge the Storage Supply Gap
Authors: Kenny Richard , Hands Jonmichael
Published: November 2024

The rapid proliferation of digital data and the corresponding expansion of the global storage market present a significant opportunity for the adoption of circular economy practices. With a vast amount of data being generated, demand for data storage far exceeds current manufacturing capacities, and circular markets offering second-use storage devices have the potential to fill this critical gap. However, widespread adoption of reuse models for storage media, such as hard disk drives (HDDs) and solid-state drives (SSDs), faces significant challenges, including technical issues like the lack of quality standardization and the implementation of modern media sanitization specifications. This study quantifies the economic potential of storage media reuse through a detailed market analysis from 2020 to 2028, demonstrating the viability of reuse and identifying key metrics that influence device suitability and bolster confidence in the secondary market.
Classification of Cavendish Banana Quality using Convolutional Neural Network
Authors: Suryani Ajeng Ayu , Athiyah Ummi , Nur Yohani Setiya Rafika , Warto
Published: November 2024

Indonesia's agricultural production is divided into two main categories: vegetables and fruits. The vegetable category includes shallots, garlic, chilies, mushrooms, spinach, cabbage, and potatoes. One of the fruit commodities from the fruit horticulture subsector is bananas, which are divided into several types, including ambon, plantains, Cavendish, pipit, and horn bananas. One of the bananas that has a good selling value in Indonesia is the Cavendish banana, but the selling value of the Cavendish banana is determined by the quality of the banana fruit. A classification process is necessary to find out the quality of bananas. We perform classification using one of the deep learning algorithms, namely Convolutional Neural Network. The experiment uses 1047 images, divided into 65% training data, 15% validation data, and 20% testing data by using epochs 20 times with 16 batch sizes, the accurate results obtained are 99%. The results indicate the effectiveness of the confusion matrix in identifying training data and detecting images. It can be concluded that using more training data leads to higher accuracy, as fewer image reading errors occur when fewer images are processed. This classification is expected to be able to classify bananas with good quality like the real condition.
K-Means Clustering in Relevance Grouping of Undergraduate Informatics Jobs: Case Study at the Informatics Engineering Department, Universitas Muhammadiyah Malang, Malang, Indonesia
Authors: Hariyanto Dikky Cahyo , Harini Sri , Chamidy Totok
Published: November 2024

Higher education is one of the levels of study expected to produce graduates competent in the field of knowledge taken. The large number of graduates from tertiary institutions with many job opportunities causes many graduates to work in ways that do not match their majors, so there is a need to evaluate the level of success of graduates learning achievements in tertiary institutions. This research aims to analyze data on the relevance of the work of undergraduate graduates in Informatics Engineering to what they have learned by the learning outcomes in the Informatics Engineering study program at the University of Muhammadiyah Malang using K-Means clustering. Using data from questionnaires measuring graduate learning outcomes and measuring job suitability for 137 respondents who had been tested for validity, reliability, and multicollinearity, the results of this research showed that the data was formed into three clusters with the analysis that 29.92% of UMM Informatics Engineering graduates were able to meet graduate learning outcomes and obtain jobs that are relevant to what they studied, 49.63% of other graduates also got jobs that were relevant to their major even though they lacked mastery of specific skills as measured by graduate learning outcomes, and 20.45% of other graduates got jobs that were less relevant to the field of Informatics engineering.
Comparison of the Accuracy Between Naive Bayes Classifier and Support Vector Machine Algorithms for Sentiment Analysis in Mobile JKN Application Reviews
Authors: Septiani Erni , Akhriza Tubagus M. , Husni Mochamad
Published: November 2024

The Mobile JKN (National Health Insurance) application is a form of BPJS Health's commitment to implementing health insurance programs since 2014. The large number of reviews of the Mobile JKN application on the Google Play Store requires sentiment analysis with an algorithm that produces the best accuracy. This research compares the accuracy obtained from the Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) algorithms. This algorithm is implemented directly in sentiment analysis and combined with the Synthetic Minority Over-Sampling Technique (SMOTE) technique to overcome data imbalance. The data in this research was obtained from reviews of the Mobile JKN application on the Google Play Store using the data scraping method. We use data scraping and labeling processes before performing sentiment analysis. The sentiment analysis process includes text preprocessing and processing (modeling) by dividing the data into 30%, 40%, and 50% test data, with the rest becoming training data. The results of this research showed that the algorithm with the best accuracy was the NBC algorithm using the SMOTE technique with 50% test data and the SVM algorithm without the SMOTE technique with 50% test data. Both give the same accurate results, namely 0.90 or 90%. Experiments show that the amount of test data and the application of SMOTE affect the accuracy of the two compared algorithms.
Analysis of Academic Information System Using Information System Success Model and System Quality Model Case Study of Institut Teknologi Nasional Malang
Authors: Setyowati Kurnia Dwi , Chamidy Totok , Faisal Muhammad
Published: November 2024

Advancements in information technology are progressing rapidly, providing numerous conveniences across various domains, ranging from personal needs to general activities. Academic Information System (SIAKAD) facilitates academic information management in educational institutions. The utilization of website-based SIAKAD is gaining popularity due to its ability to streamline access to information and minimize administrative errors. This Research aims to identify key factors contributing to the success of website-based SIAKAD at the National Institute of Technology Malang. Additionally, the Research seeks to assess the level of success of SIAKAD and evaluate the key factors that influence its success. This Research employed the Information System Success Model (ISSM) method and the System Quality Model (SQM). This study follows a seven-step workflow, from problem identification to conclusion, assessing SIAKAD ITN Malang's success using ISSM and SQM models. A survey of 100 respondents evaluated system quality, functionality, and user satisfaction. Related research highlights the importance of system quality in achieving positive user outcomes and overall success. Based on the research results, all hypotheses are accepted, indicating that Information Quality (IQ), System Quality (SQ), and Service Quality (SeQ) significantly influence Intention to Use (IU), User Satisfaction (US), and Net Benefit (NB) in the Use of SIAKAD at the National Institute of Technology Malang.
Cryptocurrency as a Medium of Rupiah Exchange: Perspective Sharia Islamic Law and Jurisprudential Analysis
Authors: Asyiqin Istianah Zainal , Akbar M. Fabian , Beltrán Genovés Manuel
Published: November 2024

The rapid advancement of the digital age has driven significant developments in payment systems, influencing financial decisions and fostering economic activity. This study explores the use of cryptocurrencies as digital currencies in financial transactions, particularly in the context of investments, while assessing their compatibility with Islamic law. Employing a normative legal approach and a descriptive-analytical method, the research examines legal principles and facts concerning cryptocurrency regulation in Indonesia. The findings reveal that, despite the potential benefits of cryptocurrencies, their usage remains contentious from both regulatory and Islamic law perspectives. In Islamic law, cryptocurrency transactions are classified as haram lighairihi due to elements of uncertainty (gharar) and speculative risks, making them non-compliant with Sharia principles. As a solution, this study proposes a framework for integrating cryptocurrency exchanges with Rupiah transactions in accordance with Sharia economic principles. This integration aims to mitigate risks while maintaining the flexibility of digital transactions, ensuring they align with both regulatory standards and Islamic legal frameworks.
Change Management in Implementing the SAMR Model as a Learning Transformation Tool for Teachers at MA Darunnajah
Authors: Sholeh Muh Ibnu , Ab Rahman Siti Fatinnah Binti , Sokip Sokip , Syafi’i Asrop
Published: November 2024

This research to analyze how the SAMR model can be applied to improve the quality of learning at MA Darunnajah. This study used qualitative research methods. The research location MA Darunnajah. Data obtained through observation, in-depth interviews with teachers, students and school staff, analysis of curriculum documents. Checking the validity of the data uses triangulation, source triangulation, data triangulation and technical triangulation. The collected data was analyzed using qualitative analysis methods which generally consist of the process of transcription, coding, grouping essence research results that have the same meaning, and presenting the data. The research results show that change management plays a crucial role implementing the SAMR Model learning transformation tool for teachers at MA Darunnajah. Effective communication between school management and teachers well psychological support has proven effective building understanding change and helping teachers overcome resistance. However the research highlights need for increased training, with teachers suggesting additional training on the SAMR Model and educational technology. potential solution involves providing additional counseling resources to overcome resistance to change. These findings indicate the need for more effective change management, ongoing training, and adequate psychological support to successfully integrate the SAMR Model in teaching that has a positive impact on the quality of education at MA Darunnajah.
Efficiency and Cost Management in Solid Waste: the Impact of Public Consortia in Northern Minas Gerais
Authors: Oliveira Marina Ferreira Lapa de , Sá Elisangela Martins de , Carrasco Edgar Vladimiro Mantilla
Published: November 2024

Objective: This study aims to investigate the relationship between solid waste management indicators and the participation in public consortia in the northern region of Minas Gerais, seeking to identify characteristics of both consortium and non-consortium municipalities in terms of efficiency and cost management.
 
Theoretical Framework: Key concepts and theories on municipal solid waste management, public consortia, and economies of scale are presented, providing a solid foundation for understanding the research context.
Method: The study employs a documentary and statistical approach, analyzing data from municipalities in northern Minas Gerais. Data collection was conducted through platforms like the National Solid Waste Management Information System (SINIR) and the Spatial Data Infrastructure IDE-SISEMA, covering indicators such as collected mass, management and collection costs, and socioeconomic data.
 
Results and Discussion: The results showed that consortium municipalities had lower per capita management costs and less cost variability, while Montes Claros, a non-consortium municipality, stood out with better indicators than the regional average. The discussion contextualizes these results with the theoretical framework, highlighting the efficiency of consortia in reducing costs and improving management. Discrepancies and study limitations are also considered.
 
Research Implications: The study provides insights into how the results can influence practices in solid waste management, impacting public policies and municipal consortium strategies.
 
Originality/Value: This study is pioneering in analyzing this specific relationship in the region, demonstrating the effectiveness of public consortia and guiding municipal managers in decision-making regarding consortia and waste management.
Spatial Analysis of Green Infrastructure in the Microregion of Anápolis-GO: Implications for Urban Planning
Authors: Silva Ricardo Carvalho , Amaral Alliny das Graças , Peixoto Josana de Castro
Published: November 2024

Objective: This study aims to analyze the Green Area Index (GAI), the Vegetation Cover Index (VCI), and the Vegetation Cover Percentage (VCP) in the urban areas of 20 cities in the microregion of Anápolis, Goiás, focusing on green infrastructure and its implications for urban planning.
 
Theoretical Framework: The research is based on the importance of green infrastructure as an essential tool for enhancing ecosystem variability, reducing environmental pollution, and controlling urban heat islands, especially in expanding urban areas.
 
Method: The study was conducted in two stages: first, images from the WPM/CBERS-4A and Google Earth Pro satellites were analyzed to quantify the GAI; in the second stage, the Normalized Difference Vegetation Index (NDVI) was used to calculate the area with vegetation cover.
 
Results and Discussion: The city of Anápolis had the largest urban vegetation area, while the municipalities of Taquaral, Damolândia, and São Francisco de Goiás had the highest GAI and VCI. São Francisco de Goiás recorded the highest VCP (35.06%), followed by Damolândia (29,27%) and Araçu (28.29%).
 
Research Implications: The study highlighted the need for public afforestation policies to improve the socio-environmental conditions of the analyzed cities.
 
Originality/Value: This research contributes to the literature by providing robust data on the distribution of vegetation in medium-sized urban areas and its importance for sustainable urban planning.
Financial Impact of Adopting Circular Economy Practices in Waste Management at a University Hospital in Curitiba
Authors: Motin Josiane Choré Ferreira , Silva Christian Luiz da , Meza Maria Lucia Figueiredo Gomes , Lima Lidia , Barel Pâmella Simões , Casagrande Junior Eloy Fassi
Published: November 2024

Objective: To investigate the financial impact of CE practices on HCW management at CHC-UFPR, from 2017 to 2022.
 
Theoretical Framework: Concepts and theories on CE and MSW, sustainable practices in the hospital area are addressed, in order to allow an understanding of the financial, environmental and social implications of these practices in the management of MSW.
 
Method: A descriptive case study with a qualitative and quantitative approach. Secondary data from the PGRSS, from 2017 to 2022, versions 2018 and 2022. Survey of the quantification of RSS generated, cost, and the annual recycling rate.
 
Results and Discussion: From 2017 to 2022, the generation of HSW at CHC-UFPR increased from 570,074.69 kg to 731,627.51 kg, influenced by the COVID-19 pandemic. Group D, managed at approximately R$0.78 per kilo in 2022, would have seen its costs increase by 21.65% without the segregation of recyclables. Recycling grew from 62.16 tons (2017) to 87.32 tons (2022), maintaining a recycling rate above 10%, reaching 17.20% in 2019. In 2021, the total cost of waste management was the highest, reflecting the increase in waste during the pandemic.
 
Research Implications: Contributes to the understanding of the financial and environmental benefits of adopting sustainable practices in the management of HSW in the hospital environment. 
 
Originality/Value:The study can contribute to sustainability practices, especially recycling, in the hospital environment.
Evaluation of the Performance of a Polishing Pond With Baffles in Domestic Wastewater Treatment: Effects of Hydraulic Retention Times
Authors: Silva Rafaela Dias , Campos Marcelo , Santos Fábio José Roca dos , França Amanda Silveira de , Santos Cíntia da Silva , Pompeu Rodrigo de Moraes , Roche Kennedy Francis , Oliveira Keila Roberta Ferreira de , Guarnieri Mileidy , Silva Ludmila Yamashita da , Cáceres Álefe de Oliveira , Ide Carlos Nobuyoshi
Published: November 2024

Objective: The objective of this study is to evaluate the performance of a shallow polishing pond, with a depth of 0.40 m and baffles, in treating domestic wastewater from a UASB reactor, operating under three different hydraulic retention times (HRT): 10, 5, and 3 days.
 
Theoretical Framework: The research is based on theories and models of wastewater treatment using stabilization ponds, which are influenced by operational and climatic factors, with an emphasis on polishing ponds for pollutant removal.
 
Method: The pond was developed on a pilot scale, and pollutant removal efficiency was evaluated based on different HRTs. Parameters such as E. coli, total nitrogen, and ammoniacal nitrogen removal, as well as phosphorus removal, were analyzed.
 
Results and Discussion: The best results were observed at 10 and 5-day retention times, with E. coli removal rates of 99.99% and 99.97%, respectively. Total nitrogen removal was most efficient at 5 days HRT (73.5%), and ammoniacal nitrogen showed removal rates of 73.6% at 10 days HRT and 82.8% at 5 days. Phosphorus removal was consistent, with an average of 43.44%.
 
Research Implications: This study provides valuable insights for the optimized operation of polishing ponds, suggesting that HRTs (Hydraulic Retention Times) between 5 and 10 days maximize system efficiency.
 
Originality/Value: The research contributes by demonstrating the operational efficiency of shallow ponds with baffles, highlighting the removal of pathogens and nutrients in domestic wastewater.
Proposal for a Flow Orientor in a Concentric Type Exchanger
Authors: Castillo Juan José Piña , Jiménez Jesús Cirilo Trujillo , Bernal Renato González
Published: November 2024

Objective: This study aims to improve the efficiency of concentric-type downhole heat exchangers (DHE) for applications in heating and electricity generation from geothermal sources. Specifically, it seeks to optimize the geothermal fluid's outlet temperature to approximately 125 °C through modifications in flow direction to enhance pressure differential and achieve stable performance.
 
Theoretical Framework: Concentric-type DHEs, based on a design of pipes arranged within geothermal wells, facilitate water circulation and heat exchange. However, in some cases, natural circulation is insufficient, limiting pressure differential and efficiency in fluid lift.
 
Method: Numerical simulations and detailed calculations were conducted to evaluate and adjust the flow direction in the DHE. These simulations analyzed the thermal and pressure behavior of the system, optimizing operating conditions to reach the desired outlet temperature.
 
Results and Discussion: Simulation results indicate that modifying the flow direction within the DHE system improves heat transfer efficiency, consistently reaching the target temperature. The increase in pressure differential enables more efficient and stable operation under real conditions.
 
Research Implications: The findings of this study are applicable to similar geothermal systems, and the proposed improvements can be implemented in both current and future DHE installations, contributing to renewable energy generation and heating in sustainable contexts.
 
Originality/Value: This work presents an innovative technical solution by modifying the flow direction in DHE systems, contributing to the advancement of more efficient and sustainable geothermal technologies for energy applications.
Conflict and Environmental Peace: Tensions and Relations Over Water Governance in the Colombian Catatumbo Region
Authors: Borda Andrés Inampués , Gómez Andrés Felipe Rivera , Lozano Aida Milena Cabrera , Romero Juan Pablo , Hernández-Umaña Bernardo Alfredo
Published: November 2024

Objective: Government efforts and initiatives aimed at mitigating socio-environmental conflicts in the Catatumbo region of Colombia have not generated positive results, facing new cycles of armed violence and ongoing social crises that impact local ecosystems. In response, this qualitative research explored the perceptions of environmental leaders and local communities regarding peacebuilding and territorial transformation around water.
 
Method: Using the constant comparative method based on grounded theory, the actions and work of social organisations focused on moving from an extractive economic model to development based on water governance were identified.
 
Results: The findings reveal the potential of leaders, whose cultural identity is reflected in ancestral wisdom, to transform conflicts by recognising nature as an integral part of the community and the territory.
 
Implications of the research: Decision-makers, research centres and academics are urged to strongly support these water-focused land-use planning initiatives, which are aligned with a quintuple helix model for sustainable development that integrates environmental peace.
 
Originality/value: Among the innovations of this study is a theoretical proposal based on the voices of social and environmental leaders, who offer answers and projects that challenge the anthropocentric and utilitarian approach of other development plans. In addition, a regional ontology is proposed that conceives the territory as a social entity capable of strengthening governance from a biocentric perspective that respects natural rights.
Thermoeconomic Evaluation of the Triple Pressure-Swing Distillation Process
Authors: Marcelino Thamires Ohana Araújo de Carvalho , Farias Neto Gilvan Wanderley de , Ramos Wagner Brandão , Brito Romildo Pereira
Published: November 2024

Objective: Investigate distillation as a separation process based on the difference in volatility of components, focusing on the separation of azeotropic mixtures using Pressure-Swing Distillation (PSD). The study was applied to the ternary mixture water-acetonitrile-isopropanol (Water-ACN-IPA).
 
Theoretical Framework: Based on previous studies that demonstrated the feasibility of PSD for separating this mixture using three columns operating at different pressures. However, challenges related to high energy consumption persist due to system irreversibilities.
 
Method: Hydraulic analysis of the columns is proposed, including the implementation of variable diameter and thermal integration as optimization strategies.
 
Results and Discussion: Results show a 47.5% reduction in the total annual cost (TAC), demonstrating greater economic efficiency and process viability.
 
Research Implications: The study contributes to improving energy efficiency in azeotropic separation processes using PSD, providing practical solutions to minimize costs and environmental impacts.
 
Originality/Value: This work introduces technical innovations in azeotropic distillation using PSD, offering an economically optimized and viable approach for the chemical, petrochemical, and pharmaceutical industries.
Formación interdisciplinaria en lectura y escritura para la docencia universitaria
Authors: Arciniegas Lagos Esperanza , Arenas Hernández Karina Alejandra , Mora Cortés Luis Emilio
Published: November 2024

Este libro presenta parte de los resultados del proyecto de investigación Caracterización del Diplomado La lectura y la escritura en el aula universitaria como una estrategia de formación docente en la Universidad del Valle. El Diplomado, que se desarrolla en dos niveles, fue creado en el 2013 como parte del Programa de Formación Docente de la Vicerrectoría Académica, dirigido por la Dirección de Autoevaluación y Calidad Académica (DACA).

El texto está compuesto por ocho capítulos en los que se recogen los elementos institucionales y conceptuales del programa y de la investigación, entre ellos: los aspectos de la reforma curricular que justifican un programa de lectura y escritura dirigido a los docentes universitarios de todas las áreas de formación y los aspectos teóricos centrados en la lectura, la escritura y la formación docente en la universidad. Se destacan los elementos fundamentales de la investigación que permitieron sistematizar el desarrollo del Diplomado y sus resultados en cuatro cohortes, desde 2013-2 hasta 2016. Además, se presenta la caracterización de los programas de curso implementados, las estrategias didácticas usadas, el carácter interdisciplinario del programa, las percepciones de los docentes universitarios y las características de las propuestas construidas y desarrolladas por los docentes que cursaron el Diplomado.

En síntesis, el libro muestra la experiencia de implementación de un programa de formación para docentes universitarios orientado a asumir la lectura y la escritura en las disciplinas como una forma de transformar las prácticas en el aula y los procesos de formación en la búsqueda de la excelencia académica.
Hygrothermal Effect on Glass Fiber Reinforced Plastic (GFRP) Under Seawater Immersion
Authors: Sutjiadi Adrian
Published: November 2024

Glass Fiber Reinforced Plastic (GFRP) is extensively used for corrugated roofing sheets and gutters in Indonesia, especially in corrosive environments, due to its superior corrosion resistancecompared to steel. Despite its widespread application in coastal areas, limited studies have examined the durability of GFRP when exposed to seawater and heat. This research investigates the influence of hygrothermal conditions on the physical and mechanical properties of GFRP. Samples were immersed in seawater at temperatures of 30°C, 40°C, and 60°C for 3 and 6 months. Results show that hygrothermal exposure leads to degradation in physical but notmechanical properties. Physical properties were evaluated using mass gain measurements, hardness testing, and Scanning Electron Microscopy (SEM), while mechanical properties were assessed via tensile testing.The result shown all specimen have increased mass up to 3,8% and decrease in hardnessup to 56%. SEM also shown several dark spot which indicatevoid. SEM analysis revealed the presence of dark spots, indicating void formation. These findings underscore the vulnerability of GFRP to hygrothermal conditions, raising concerns about its long-term durability in coastal applications.
Readiness of undergraduate medical students to health research and factors influencing it in a medical college – A cross-sectional study
Authors: Monisha V. , Rajini S. , Premnath D.
Published: November 2024

Objectives:

Developing, maintaining, and sustaining undergraduate medical students’ research involvement will enable future healthcare practitioners to practice more appropriate evidence-based clinical medicine. This study aim to assess the readiness for health research and factors promoting it among Undergraduate medical students.

Materials and Methods:

A descriptive cross-sectional study was conducted among undergraduate medical students in Puducherry over 3 months (August–October 2023). Systematic random sampling was applied to recruit 360 study participants. A validated pre-tested semi-structured self-administered questionnaire was used to gather data on sociodemographic, readiness, participation, attitude, perceived motivational factors, and barriers toward health research. Data were entered in MS EXCEL 2019 and analyzed using the Statistical Package for the Social Sciences v16.0. The quantitative variables were represented in mean and qualitative variables in proportion. Chi-square test and logistic regression analysis were applied to identify the factors influencing readiness to health research among undergraduate Bachelor of Medicine and Bachelor of Surgery students.

Results:

A total of 360 participants with a mean age of 20.7 ± 0.64 were recruited, demonstrating a nearly equal gender distribution (male 48.3% and female 51.7%). Approximately 76.4% scored ≥60% in their recent university examinations, and 86.7% resided in hostels. While 11.4% reported prior participation in health research, 32.5% expressed readiness to participate, influenced by factors such as the competency-based medical education (CBME) approach and academic performance (P = 0.043). Major barriers identified included lack of funding (88.8%), lack of time (80.3%), and mentorship (52.9%). Logistic regression analysis revealed that higher examination grades significantly increased readiness to research (aOR: 1.936, P = 0.027) and also participation for health research (aOR: 3.366, P = 0.029), while non-CBME participants showed lower odds of participation (aOR: 0.321, P = 0.006).

Conclusion:

Medical institutes should implement structured mentorship programs, require research courses as part of the curriculum, and provide sufficient funding for student-led projects. Addressing these strategies within the institutes could foster a research-oriented culture, thus ultimately improve quality patient care and broader medical knowledge.
Complete contrast staining of hepatocellular carcinoma during drug-eluting bead chemoembolization predicts a favorable response
Authors: Alharbi Sultan R.
Published: November 2024

Objective:

The objective of this study was to evaluate complete contrast staining (CCS) of HCC during drug-eluting bead transarterial chemoembolization (DEBTACE) first session for response prediction.

Methods:

Forty-one patients with solitary HCC who underwent DEBTACE were retrospectively enrolled and divided into two groups based on contrast staining of HCC using two-dimensional (2D) fluoroscopy during the first session of DEBTACE. Both groups underwent one or two sessions of DEBTACE to achieve a complete response. Responses were evaluated using the modified Response Evaluation Criteria in Solid Tumors. A comparison of the complete response between the CCS and non-CCS groups was performed, and the prediction value was studied.

Results:

CCS in 2D fluoroscopy during the first session of drug-eluting bead chemoembolization was observed in 22 (53.7%) patients. Well-defined HCC and super-selective chemoembolization were significantly associated with CCS. Complete response was observed in 54.54%, 90%, and 95.45% of CCS patient groups after the first session, second session, and cumulative sessions of TACE, respectively. Complete responses were 10.52%, 29.41%, and 36.84% in the non-CCS group after the first, second, and cumulative sessions of TACE, respectively.

Conclusion:

CCS of HCC using 2D fluoroscopy during DEBTACE is a predictor of a favorable response after two sessions of treatment.
The Chemistry of Atmospheric Aerosols: At the Nexus Between Climate, Energy, and Air Quality
Authors: Mohr Claudia , Gysel-Beer Martin
Published: November 2024

Atmospheric aerosols can be emitted directly as particles or formed in the atmosphere from phase transitions of gaseous compounds with low enough vapor pressure. During their lifecycle in the atmosphere, aerosols undergo multiphase changes, altering chemical composition, reactivity, physical and optical properties, ultimately influencing how they impact climate, human health and ecosystems. The understanding of the chemical processes in the atmosphere is crucial to assess these effects. Here we provide a brief overview on relevant aerosol chemical processes and measurement techniques with no claim to completeness and describe the Swiss contribution to the European infrastructure ACTRIS for long-term monitoring and its relevance for the research field.
تأثير نموذج الخدمة العامة الحديثة (NPS) على الكفاءة التنظيمية: دراسة ميدانية على الشركة السعودية للخدمات الأرضية
Authors: الشهري أفنان محمد , القرشي سوزان محمد
Published: November 2024

هدفت هذه الدراسة الى معرفة أثر الخدمة العامة الحديثة بأبعاده (جودة الخدمات، سهولة الوصول، الموثوقية) على الكفاءة التنظيمية بأبعادها (تحقيق الأهداف، توفير التكاليف) على الشركة السعودية للخدمات الأرضية، واعتمدت الدراسة على المنهج المسحي (الوصفي الارتباطي)، وتكوَّن مجتمع الدراسة من جميع موظفي الشركة السعودية للخدمات الأرضية (القادة والموظفين الإداريين وممثلي خدمات الركاب)، والبالغ عددهم (3885) موظفاً وموظفة، ونظرا لكُبر مجتمع الدراسة؛ اعتمدت الباحثة على أسلوب العينة العشوائية البسيطة، التي أظهرت بأن عدد العينة المطلوبة هي (350) مفردة من مجتمع الدراسة، وتم الاعتماد على الاستبانة كأداة لجمع البيانات. أظهرت نتائج الدراسة بأن واقع تطبيق الخدمة العامة الحديثة في الشركة السعودية للخدمات الأرضية مرتفع، بمتوسط حسابي بلغ (3.66 من 5.00) ووزنٍ نسبي مقداره (73.2%)، كما أن واقع الكفاءة التنظيمية في الشركة السعودية للخدمات الأرضية متوسط، بمتوسط حسابي بلغ (3.22 من 5.00) ووزنٍ نسبي مقداره (64.4%)، أيضا يوجد أثر لنموذج الخدمة العامة الحديثة على الكفاءة التنظيمية في الشركة السعودية للخدمات الأرضية، بمعامل ارتباط قدره (0.666)، ولا توجد علاقة ذات دلالة إحصائية بين استجابات أفراد العينة حول متغيري الدراسة تبعًا للمتغيرات الشخصية والوظيفية المتمثلة في: الجنس، العمر، سنوات الخبرة، المؤهل العلمي والحالة الاجتماعية. كما جاءت أهم التوصيات بضرورة متابعة العمل بفاعلية على تكامل ممارسات أبعاد الخدمة العامة الحديثة؛ لاستمرار تحقيق النجاحات والتحسين المستمر في الشركة ورفع الكفاءة؛ كونها واجهة الوطن.
Generative AI-Powered Inverse Design for Tailored Narrowband Molecular Emitters
Authors: Zhou Hao , Pan Mianzhi , Tan Tianhao , Ouyang Yawen , Jin Qian , Chu Yougang , Ma Wei-Ying , Zhang Jianbing , Duan Lian , Wang Dong
Published: November 2024

In organic displays, developing molecules that produce a broad color gamut with exceptional color purity is of critical importance. AI-assisted molecular screening can expedite the design process of emission molecules. However, the efficiency of current methodologies is constrained by their limited candidate pools and poor hit rates. Here we present MEMOS, a cutting-edge molecular generation framework that, through Markov molecular sampling techniques, facilitates the targeted inverse design of molecules across a nearly boundless chemical space, tailored to emit the narrow spectral bands associated with desired colors. Notably, by employing a self-improving iterative process, MEMOS achieves an impressive hit rate of up to 80%. Our method showcases the pioneering capability to rapidly navigate through millions of molecular possibilities, efficiently pinpointing thousands of high-potential candidates within a 24-hour period. This breakthrough accelerates the design of novel organic luminescent materials, setting the stage for the advancement of the next generation of high-quality organic displays.
Assessing the sustainability of urban spaces based on city strategy analysis
Authors: Venhryn Daria
Published: November 2024

The level of urbanization worldwide rises. The increase in urban population stimulates economic growth, improvements in healthcare and education systems, and the creation of new jobs. However, the concentration of urban population leads to air and water pollution, the depletion of arable land, and other challenges. These issues hinder the achievement of sustainable development in countries. To regulate and control this issue, government authorities worldwide are developing and implementing strategies and development plans for cities to steer the urbanization process towards the desired sustainable development indicators. To gauge the success of these strategies, a set of indicators has been developed to show the resilience of urban development. The list of indicators varies significantly in global practices as they are tailored to specific city needs.

This paper presents a list of indicators that are consistently applied across six strategies for the development of Ukrainian cities (Kharkiv, Kyiv, Lviv, Odesa, Dnipro, Vinnytsia). The indicators are grouped into three categories: economic, social, and environmental. For each indicator in these categories, a standardized unit of measurement was established, and additional indicators that may not be directly comparable but are included in international urban sustainability indicator lists were also incorporated. This set of indicators is not comprehensive and can be adjusted – either expanded or reduced – as needed to align with the city's short-term and long-term sustainable development plans. Through comparative analysis, measures are justified regarding the use of indicators to assess the sustainability of city development.

This study demonstrates the necessity of aligning the indicator selection process based on benchmark indicators derived from advanced global experiences, taking into account successful practices. Future research will strive to combine these indicators to establish a universal approach for calculating a city's sustainable development index. Such an index would provide a valuable tool for policymakers, urban planners, and stakeholders to monitor progress, identify areas needing improvement, and implement targeted interventions. By fostering a holistic and integrated approach to urban development, cities can achieve sustainability goals, enhance the quality of life for their residents, and contribute to global efforts in promoting sustainable urbanization.
Chortkiv district resettlement system and features of transformation in the conditions of administrative and territorial reform
Authors: Salii Mykhailo
Published: November 2024

The article examines the features of the transformation of the Chortkiv inter-district resettlement system into a newly formed district resettlement system, which was formed on the site of six former districts of the southern part of Ternopil Oblast as a result of the administrative-territorial reform. A detailed analysis of the formation of territorial communities of the newly formed Chortkiv district, which arose on the basis of former districts, was carried out. The composition of each community was considered by the number of united councils, the number and type of settlements included in them, the number of cities and villages, as well as the area, population and density of the population, and a comparison was made according to all the indicated indicators between Chortkiv district and in comparison with other communities of Ternopil region. The share of the rural and urban population in each of the communities of the district was analyzed, and the communities where the urban population is the majority and where it is the other way around were determined. By means of cartographic display and comparison of communication routes, the supporting frame of the settlement of Chortkiv district and its place in the general supporting frame of the region were highlighted, and the main cores of population attraction were determined by comparing the places where communication routes intersect and the most densely populated cities and communities. The profitability of transport accessibility between the administrative centers of the district communities was established, the level of transport accessibility between neighboring communities of the district was determined by determining the topographical distances between their administrative centers, as well as the profitability of transport accessibility to the city of Chortkiv from the centers of all communities, and the most and least favorably located settlements were determined.
UM ESTUDO COMPARATIVO DE CARACTERÍSTICAS DE SOLUÇÕES PARA SISTEMAS DE EXECUÇÃO DE MANUFATURA (MÊS): UMA ABORDAGEM DE CLIENTES À DESENVOLVEDORES
Authors: Tonet Jader Henrique , Vieira Agnelo Denis , Cleto Marcelo Gechele
Published: November 2024

Objetivo: O objetivo deste trabalho é realizar uma análise comparativa entre os principais desenvolvedores de sistemas MES e suas soluções, com base nas características importantes para o contexto da indústria 4.0.
 
Referencial Teórico: A evolução dos Sistemas de Execução de Manufatura (Manufacturing Execution Systems - MES) com a introdução dos conceitos da Indústria 4.0 e digitalização nas organizações trouxe novas possibilidades de atuação desses sistemas. Conectando os diferentes níveis e sistemas da organização, os sistemas MES têm um papel importante na transição para fábricas digitais.
 
Método: É aplicada uma metodologia qualitativa de análise triangular de informações para coleta de dados sobre as soluções.
 
Resultados e Discussão: Com base nas características atuais dos sistemas MES foram definidos critérios para construção de uma matriz comparativa. Como resultado, a matriz obtida mostrou a relevância da conectividade dos sistemas MES com sistemas de planejamento, Enterprise Resource Planning (ERP) e identificou diferentes níveis de personalização e de modularidade entre os sistemas avaliados.
 
Implicações da Pesquisa: Esse trabalho traz uma visão geral de desenvolvedores e soluções existentes para sistemas MES apresentando suas principais características possibilitando estudos futuros nas formas de implementação dessas soluções nas indústrias.
 
Originalidade/Valor: Este trabalho contribui com a literatura disponibilizando uma matriz comparativa de soluções de MES existentes.
Research on the Integrated Teaching Design of Junior High School English Units Based on the Key Competencies of English Subjects
Authors: Dong Jinyu , Zhu Jiaqi
Published: November 2024

The overall teaching design for the junior middle school English unit aims to maximize the use of teaching resources by using the unit as the central theme, integrating it throughout all sections and related activities. This approach continually reinforces students’ understanding and retention of individual lesson content while fostering their core literacy and skills. It promotes a comprehensive development of students’ listening, speaking, reading, and writing skills, allowing them to engage repeatedly with the language materials until they internalize them as part of their language proficiency.
A Study on Filter-Based Adversarial Image Classification Models
Authors: Zhao Zhongcheng
Published: November 2024

In view of the fact that adversarial examples can lead to high-confidence erroneous outputs of deep neural networks, this study aims to improve the safety of deep neural networks by distinguishing adversarial examples. A classification model based on filter residual network structure is used to accurately classify adversarial examples. The filter-based classification model includes residual network feature extraction and classification modules, which are iteratively optimized by an adversarial training strategy. Three mainstream adversarial attack methods are improved, and adversarial samples are generated on the Mini-ImageNet dataset. Subsequently, these samples are used to attack the EfficientNet and the filter-based classification model respectively, and the attack effects are compared. Experimental results show that the filter-based classification model has high classification accuracy when dealing with Mini-ImageNet adversarial examples. Adversarial training can effectively enhance the robustness of deep neural network models.