bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of students’ attitudes towards blended learning
Authors: Yesmakhanova Zharkynay , Nurlan Yerepbayev , Boranbayeva Aktolkyn , Medeu Alimbayev , Rysbayeva Galiya , Omarov Nurlybek
Published: January 2025

Educational environments created by combining traditional learning environments and technology have grown, especially in recent years and have become an indispensable part of education. Therefore, with this research we aimed to evaluate students’ attitudes towards blended learning. To gather university students’ opinions on the effectiveness of blended learning, a descriptive survey method was used. Two hundred and eighty-seven students enrolled for information technologies courses in the spring semester of the 2022–2023 academic year in the computer engineering department at various universities in Kazakhstan participated in the research. Research data were collected using the blended learning attitude scale developed by the researchers. This scale was used to gain information from students participating in the research. The scale was used twice, with an interval of 5 weeks, before and after the information technologies course was presented in the blended learning environment. University students’ attitudes towards blended learning were partially positive before the presentation of information technology education in the blended learning environment, and after the presentation a positive increase was observed. The attitudes of students with experience in the blended learning environment were found to be higher than those of students without experience.
Evaluation of primary school teachers’ attitudes towards gifted children and their education
Authors: Uzunboylu Huseyin , Akcamete Gönül , Sarp Nilgün , Demirok Mukaddes
Published: January 2025

Upon reviewing the literature, one discovers that teachers’ perceptions, attitudes, and educational needs regarding gifted children have an impact on their academic, talent, and social-emotional development throughout their schooling. With this research we aimed to evaluate primary school teachers’ attitudes towards gifted children and their education. We used the attitude scale towards gifted children and their education, which was tested for validity and reliability. Of the approximately 800 teachers working in primary schools in the Adapazar district of the Sakarya province in Türkiye, 365 teachers were surveyed using the data collection tool. The data obtained from the survey were analysed, tabulated, and interpreted using appropriate statistical data analysis. The statistical analysis revealed that teachers’ attitudes towards gifted children were positive. In this article we discuss the results of the statistical analysis.
Preanalytical factors affecting the plasma and serum levels of circulating microRNAs
Authors: Sotnikova E. A. , Kiseleva A. V. , Meshkov A. N.
Published: January 2025

Circulating microribonucleic acids (microRNAs) are promising biomarkers of various diseases, but their clinical laboratory use requires highly sensitive, reproducible, reliable and sustainable methods for their accurate plasma and serum quantification. The preanalytical phase of studies conducted using biospecimens consists of their collection, processing, storage and transportation. Preanalytical conditions remain the main distorting factors in microRNA studies, and standardization of these conditions, carried out in biobanks, can improve the reproducibility of results and their comparison. The review aim is to consider the main contemporary original studies on preanalytical factors, which are an important source of variability in studies on circulating microRNAs at the stages from blood collection to plasma or serum production.
Biosample collection in a biobank to solve problems of personalized medicine
Authors: Kopylova O. V. , Ershova A. I. , Meshkov A. N. , Pokrovskaya M. S. , Efimova I. A. , Limonova A. S. , Blokhina A. V. , Serebryanskaya Z. Z. , Smetnev S. A. , Mikhailina V. I. , Myasnikov R. P. , Kiseleva A. V. , Garbuzova E. V. , Metelskaya V. A. , Borisova A. L. , Drapkina O. M.
Published: January 2025

Aim. To present an approach to collection of biosamples of patients with rare and scientifically interesting clinical situations for solving the problems of personalized medicine, as well as to analyze related 8-year experience.

Material and methods. The approach and a collection of biosamples of blood and its derivatives is developed at the National Medical Research Center for Therapy and Preventive Medicine within the project "Interesting Cases at the National Medical Research Center for Therapy and Preventive Medicine". The collection of biomaterial from project patients was carried out on a planned basis with the inpatient department, as well as upon referral from outpatient doctors. All included patients signed informed consent. Each biosample is accompanied by an extensive annotation, including socio-demographic, clinical, genetic and other types of data. The article presents the project results as of August 12, 2024.

Results. An expert group developed 15 disease groups and related inclusion criteria. At the time of analysis, 4525 inpatients and outpatients were included in the project. Positive changes in the number of people included annually is noted. Genetic testing was performed on >2500 patients. The proposed approach allows solving a wide range of clinical and research problems in personalized medicine as follows: timely diagnosis or clarification; formation of patient cohorts to study the genetic aspects of diseases; identification of new genetic variants of hereditary diseases; development of genetic diagnostic panels; study of rare diseases; reduction of sample creation time in case of novel scientific ideas.

Conclusion. The proposed approach to the collection and preservation of biosamples and related clinical, socio-demographic, genetic and other types of data in patients with rare clinical cases of scientific interest is important and effective for solving practical and research problems of personalized medicine. The algorithm is well developed, standardized and easily implemented within the clinics, regardless of their size. Preanalytical phase standardization creates the prerequisites for multicenter national and international cooperation.
A New Evaluation Model for Traumatic Severe Pneumothorax Based on Interpretable Machine Learning
Authors: Lv Yinzhen , Weng Jiayi , Li Jing , Chen Wei , Huang He , Zhao Yuzhuo
Published: January 2025

Traumatic pneumothorax is a complex condition that is challenging to diagnose, particularly in hospitals, underdeveloped areas, and during mass casualty events. This study aimed to evaluate the potential of machine learning (ML) for diagnosing and assessing traumatic pneumothorax. We extracted 33 vital signs and blood gas parameters from the MIMIC-IV database, selecting 12 clinically significant features as inputs to four ML algorithms: extreme gradient boosting (XGBoost), artificial neural network (ANN), support vector machine (SVM), and k-nearest neighbors (KNN). Five-fold cross-validation was used to train and test the models, with external validation performed on the EICU database. Model performance was evaluated using AUROC, recall, and accuracy, with SHAP interpretability employed to understand feature importance. In total, 3871 participants from the MIMIC-IV database and 22,022 participants from the EICU database were analyzed. Hemoglobin, Oxygenation Index, and pH were found to be key indicators of severe traumatic pneumothorax. XGBoost exhibited the best performance, achieving an AUROC of 0.979 (95% CI: [0.966, 0.989]) on the MIMIC-IV dataset and 0.806 (95% CI: [0.740, 0.864]) on the EICU dataset. The results suggest that ML, particularly XGBoost, is faster and more convenient than traditional imaging methods, making it well-suited for emergency or mass casualty situations. ML algorithms show promise for initial diagnosis of traumatic pneumothorax, with XGBoost demonstrating strong interpretability and robust external validation.
Intelligent Scheduling of Automotive Stamping Workshops Based on an Enhanced Genetic Algorithm
Authors: Li Zhiyuan , Wu Desheng , He Cheng , Gan XiaoFeng , Chen Peichun
Published: January 2025

With the rapid development of the automotive manufacturing industry, enhancing production efficiency and flexibility in stamping workshops has become crucial for maintaining competitiveness. This paper presents an intelligent scheduling method based on an enhanced genetic algorithm to address the scheduling challenges in automotive stamping workshops. By incorporating the magic square selection method for initializing the population and an improved roulette wheel selection operation, this approach significantly enhances the search efficiency and solution quality of the genetic algorithm. During the algorithm’s implementation, innovative crossover methods and decoding mechanisms were designed to better accommodate the production characteristics and constraint conditions of stamping workshops. The proposed method was validated using production data from an automotive factory. The scheduling results demonstrate that the enhanced genetic algorithm effectively addresses over 95% of the scheduling issues encountered in intelligent scheduling of automotive stamping workshops. The algorithm markedly improves workshop production efficiency, reduces production cycles, and enhances the stability and feasibility of production plans. This study provides a robust technical solution for intelligent production management in automotive stamping workshops, offering substantial theoretical significance and practical application value.
Advanced Decision-Making Strategies and Technologies for Manufacturing: Case Studies, and Future Research Directions
Authors: Lefranc Gaston , Peña Cabrera Mario , Osorio Comparan Roman , López-Juárez Ismael
Published: January 2025

This article presents a review exploring decision-making strategies and technologies in the manufacturing sector, examining both traditional and emerging approaches. The article critically analyses the current landscape of decision-making in the manufacturing sector, highlighting innovative technologies and practical applications through case studies and the challenges associated with their implementation. By investigating the intersection of technological advances and strategic decisionmaking, the study provides insights for improving industrial competitiveness and identifies critical areas for future research and development.
Uji Kesesuaian Pengukuran Berat Badan antara Metode Lorenz dan Metode Modifikasi PAWPER-XL MAC dengan Tempat Tidur Bertimbangan Khusus
Authors: Pamugar Bramantyo , Suwarman Suwarman , Rismawan Budiana
Published: January 2025

Berat badan aktual sangat penting di Intensive Care Unit (ICU). Baku standar penilaian berat badan aktual adalah timbangan khusus, namun timbangan ini tidak banyak tersedia di ICU. Alternatif lain untuk estimasi berat badan aktual dapat menggunakan metode antropometrik. Penelitian ini merupakan uji kesesuaian antara estimasi berat badan aktual menggunakan metode Lorenz dan modifikasi PAWPER-XL MAC dengan berat badan aktual menggunakan timbangan khusus baku standar. Penelitian ini adalah analitik observasional dengan potong lintang pada 83 pasien ICU rumah sakit Hasan Sadikin Bandung antara Agustus hingga November 2023. Uji kesesuaian menggunakan: uji t, P10, P20, mean percentage error (MPE), dan limit of agreement (LOA). Pasien metode Lorenz dan modifikasi PAWPER-XL MAC dengan rerata perawatan 2,00±1,704 dan rerata balans kumulatif 126,99±1483,62, didapatkan nilai p adalah 0,646 dan 0,717 secara berurutan, nilai P10 adalah 84,3% dan 71,1% secara berurutan, nilai P20 adalah 98,8% dan 95,2% secara berurutan, nilai MPE adalah 0,361 dan 0,463 secara berurutan, nilai LOA adalah -14,75 s/d 15,53 dan -18,12 s/d 19,04 secara berurutan. Semua berada dalam rentang yang direkomendasikan. Pengukuran estimasi berat badan aktual metode Lorenz dan modifikasi PAWPER-XL MAC sesuai dengan pengukuran berat badan aktual dengan tempat tidur bertimbangan khusus pada pasien-pasien ICU.
Perbandingan Antara Kombinasi Ibuprofen dan Parasetamol dengan Ketorolak dan Parasetamol Intravena Terhadap Derajat Nyeri dan Rasio Neutrofil Limfosit Pasca-Functional Endoscopic Sinus Surgery
Authors: Rahim Muh. Rezah , Musba A. M. Takdir , Palinrungi Ari Santri , Ahmad Muh. Ramli , Muhadi Ratnawati , Rum Muhammad
Published: January 2025

Functional endoscopic sinus surgery (FESS) adalah metode gold-standard pada manajemen rinosinusitis kronik. Prosedur ini tetap menimbulkan rasa nyeri pascaoperasi, walaupun tindakan bersifat minimal invasif. Parasetamol yang dikombinasikan dengan obat anti-inflamasi non-steroid (OAINS) dapat digunakan untuk analgesik pascaoperasi. Hal lain yang perlu diperhatikan sebagai faktor prognostik adalah nilai rasio neutrofil limfosit (RNL). Penelitian ini mengamati penggunaan analgesia multimodal pada nyeri pascaoperasi serta apakah terdapat hubungan dengan RNL yang dilakukan di RSUlP Wahidin Suldirohulsodo dan rumah sakit jejaring antara bulan Agustus 2023 hingga Februari 2024. Desain penelitian adalah uji acak tersamar ganda yang membandingkan kelompok P1 (pemberian kombinasi parasetamol dan ibuprofen intravena [IV]) dengan kelompok P2 (kombinasi parasetamol dan ketorolak IV) pascaoperasi FESS. RNL dihitung perioperatif, jam ke-6 dan ke-24 pascaoperasi. Penilaian derajat nyeri dilakukan pada 6 jam, 12 jam, 24 jam dan 48 jam pascaoperasi. Total didapatkan 40 pasien yang dibagi ke dua kelompok. Tidak ditemukan perbedaan bermakna pada derajat nyeri antar kelompok (p>0,05) dan juga RNL (p>0,05). Kombinasi parasetamol baik dengan ibuprofen maupun ketorolak dapat menjadi pilihan sebagai multimodal analgesia pascaoperasi.
Enhancing corrosion resistance of Nd-Fe-B magnets with amorphization Ni-P coatings
Authors: Xu Jiahui , Cai Yuxin , Gao Xiao , Zou Yaru , Xie Xuefeng , Long Jiaxin , Yang Munan , Yang Bin
Published: January 2025

Nd-Fe-B permanent magnets, due to the unique phase structure, demand exceptional corrosion resistance. Electrodeposited nickel-phosphorus (Ni-P) coatings are recognized for their superior anti-corrosion performance, but the performance of electrodeposited Ni-P coatings with different crystallinity varies considerably from process to process. In this study, we propose a strategy to grow Ni-P coatings that exhibit varying crystallographic orientations and degrees of crystallinity. Meanwhile, the differences in structure, morphology, corrosion resistance, and mechanical properties between crystalline and amorphous Ni-P coatings were systematically investigated. The results show that the crystalline Ni-P alloy coating predominantly forms on the Ni(111) crystal plane, with poor surface topographic flatness. In contrast, the amorphous Ni-P coating demonstrates better surface topographic flatness. The crystalline Ni-P alloy coating exhibits a corrosion potential of −0.63 V, a corrosion current density of 5.6 × 10−7 A cm−2, and a hardness of 583HV. In comparison, the completely amorphous Ni-P alloy coating shows an improved corrosion potential of −0.38 V, an exceedingly low corrosion current density of 9.5 × 10−10 A cm−2, and an increased hardness of 622HV.
Adaptive surrogate-assisted sampling pool reduction strategy for low failure probability estimation
Authors: Zhang Hong , Song Lukai , Li Xueqin , Choy Yatsze , Liu Hongxin , Tao Fei
Published: January 2025

To improve the efficiency and accuracy of rare event reliability analysis of complex structures, an advanced adaptive Kriging-based candidate sample reduction strategy (AK-CSR) method is proposed by integrating candidate sample reduction strategy and advanced adaptive Kriging method. Through the improved first-order reliability method and the updated Kriging model, the accurate most probable failure point can be obtained with the update of Kriging. By domain constraint and distance constraint functions, the CSR strategy can ceaselessly find desired samples to update the Kriging model. The proposed method is verified by three numerical examples and two engineering examples. The analysis results demonstrate that AK-CSR method can be used to perform the rare event reliability analysis of complex structures and improves the computational efficiency while maintaining a good accuracy. Moreover, this study offers a useful insight for the reliability-based design optimization of complex structures, and enriches the field of structural reliability theory as well.
Development of a high-level design of an analytical software complex for an enterprise that provides end-to-end planning
Authors: Seredenko Natalya
Published: January 2025

Currently, many companies engaged in the production of medium-term turnover goods, are faced with the need to create a high-level design of a software complex that allows them to support a full cycle of sales planning, production, logistics and marketing campaigns. This is due to the economic development of the enterprise and the integration of independent software systems/modules that allow for the implementation of limited business processes without connection with related functions and business processes of the enterprise. Thus, enterprises find themselves in a situation where various departments have implemented a disparate set of information systems and software modules within which local accounting and analytics of various operations are carried out, while the software and analytical complex as a whole does not provide a complete, connected and cyclical planning process. This paper presents a model of requirements for functions, information objects and data flows, providing end-to-end planning, as well as an approach to identify missing objects of the existing information complex of the enterprise. An analytical network consisting of missing elements has been developed, taking into account the dependencies and interrelationships of information objects and software modules, which makes it possible to form a priority vector of the relative importance of software components. This vector represents a set of priorities for improvements to the enterprise software package and allows you to more effectively allocate the resources of the development team for the software implementation of missing functions, information objects and integration data flows between software modules.
Demystifying the digital transformation of the real estate brokerage industry in China: A case study of Lianjia (Beike)
Authors: Wang Fengchen , Stoianova Olga , Barajas Angel
Published: January 2025

The rapid digital transformation of the real estate brokerage industry in China has revolutionized traditional business models, with Lianjia (Beike) at the forefront of this shift. This study explores Lianjia’s journey from a conventional brokerage firm to a leading digital platform, analyzing the strategic digitalization of housing data through the creation of the Housing Dictionary, the development of the agent cooperation network (ACN), and the implementation of a management information systems (MIS) based Offline-to-Online (O2O) business model. Through a qualitative case study methodology, this research highlights how Lianjia’s innovative use of technology has enhanced operational efficiency, customer satisfaction and competitive advantage. The findings provide valuable insights into the potential of digital platforms to drive continuous innovation and transformation in the real estate industry. This study also discusses the broader implications for the digital economy and offers recommendations for businesses aiming to undergo similar transformations.
Classes of homothetic convex sets
Authors: Soltan Valeriu
Published: January 2025

This is a survey of known results and still open problems on characteristic properties of classes of homothetic convex sets in the n-dimensional Euclidean space. These properties are formulated in terms of orthogonal projections, plane sections, homothety classes, Choquet simplices, and homothetic tilings and partitions.
Accessible operators on ultraproducts of Banach spaces
Authors: Cabello Sánchez Félix
Published: January 2025

We address a question by Henry Towsner about the possibility of representing linear operators between ultraproducts of Banach spaces by means of ultraproducts of nonlinear maps.We provide a bridge between these “accessible” operators and the theory of twisted sums through the so-called quasilinear maps. Thus, for many pairs of Banach spaces X and Y , there is an “accessible” operator XU → YU that is not the ultraproduct of a family of operators X → Y if and only if there is a short exact sequence of quasi-Banach spaces and operators 0 → Y → Z → X → 0 that does not split. We then adapt classical work by Ribe and Kalton–Peck to exhibit pretty concrete examples of accessible functionals and endomorphisms for the sequence spaces lp
The paper is organized so that the main ideas are accessible to readers working on ultraproducts and requires only a rustic knowledge of Banach space theory.
Penciptaan Karya Seni Lukis Surealisme pada Media Kayu dengan Ide Penciptaan Ikan Asin
Authors: Adharani Dhimas Bagas , Ratnawati Ike , Rini Denik Ristya
Published: January 2025

Seni lukis surealisme sangat menarik untuk dipelajari karena secara prinsip terdiri atas keganjilan dan distorsi bentuk. seni lukis surealisme penting untuk dilakukan karena mampu mengembangkan kreativitas, imajinasi, serta kepekaan dalam mengolah dan memadukan objek yang tidak memiliki keterkaitan menjadi harmoni yang indah. Tidak adanya batasan bagi seniman dalam memilih bahan atau teknik untuk berkarya seni mendorong penulis untuk bereksperimen menggunakan media yang anti mainstream yaitu limbah dari industri figura kayu. Selain media, teknik yang digunakan dalam berkarya juga dapat menghasilkan ciri khas tertentu. Pada penelitian ini, penulis memilih teknik drawing untuk berkarya karena dapat menghasilkan karya dengan karakter yang sulit dicapai jika menggunakan teknik lain. Tujuan penciptaan ini untuk memaparkan eksplorasi ide, teknik, dan media penciptaan karya seni seni lukis surealisme. Desain penciptaan dan visualisasi karya. Metode penelitian ini menggunakan metode penciptaan I Made Bandem yang terdiri dari lima tahapan yaitu persiapan, elaborasi, sintesis, realisasi, dan penyelesaian. Hasil penelitian ini berupa 6 karya yang dibuat dengan eksperimen penggunaan teknik drawing pada media limbah industri figura kayu berjudul “Wak Asin#1”; “Wak Asin#2”; “Mamudar#1”; “Mamudar#2”; “Moksa#1”; dan “Moksa#2”. Berkonsep karya seris dengan tema bentuk ikan asin yang unik dan artistik dihiasi ragam hias dalam karya seni lukis surealisme.
Kesalahan Terjemahan Komik 难哄 [Nán hōng] oleh Mahasiswa Pendidikan Bahasa Mandarin Angkatan 2021 pada Matakuliah Terjemahan Mandarin-Indonesia
Authors: Pramesti Erika Zetta , Kurniawan Deddy , Mardasari Octi Rjeky
Published: January 2025

Terjemahan adalah proses pengalihan teks dari bahasa sumber (BSu) ke bahasa sasaran (BSa) yang dapat mengandung kesalahan, baik pada aspek bentuk maupun makna. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis kesalahan terjemahan yang dilakukan oleh mahasiswa dalam kelas terjemahan serta mengetahui faktor-faktor yang menyebabkan terjadinya kesalahan tersebut. Data dikumpulkan menggunakan instrumen berupa tabel analisis dan lembar angket. Analisis data dilakukan berdasarkan teori bentuk versi Catford dan teori makna versi Simatupang. Hasil analisis menunjukkan bahwa mahasiswa perlu meningkatkan pemahaman mereka tentang linguistik, padanan kata yang tepat, dan konteks budaya dalam penerjemahan. Terkait dengan faktor-faktor penyebab kesalahan terjemahan, ditemukan bahwa mahasiswa masih mengalami kesulitan dalam menerjemahkan secara akurat. Kesulitan ini disebabkan oleh faktor internal, seperti keterbatasan kosakata dan pemahaman budaya, serta faktor eksternal, seperti manajemen waktu yang kurang optimal dan kesulitan dalam mengidentifikasi makna kompleks. Untuk mengatasi masalah tersebut, mahasiswa berusaha memperluas kosakata, meningkatkan pemahaman budaya, dan mengembangkan keterampilan manajemen waktu. Meskipun demikian, kesulitan dalam mengidentifikasi makna kompleks masih tetap menjadi tantangan.
Perfiles de susceptibilidad antimicrobiana de bacterias aisladas de infecciones hospitalarias y de la comunidad (2023). Red de vigilancia laboratorial de resistencia a los antimicrobianos, Paraguay
Authors: Melgarejo-Touchet Nancy L. , Martínez Mora Mario F , M Brítez Cristina , Busignani Sofía , Dunjo Pamela , E. León María , Weiler Natalie , Orrego Verónica , Rojas Liliana
Published: January 2025

La resistencia a los antimicrobianos (RAM) es una grave amenaza global que compromete la eficacia de los tratamientos contra infecciones, siendo fundamental su detección temprana y el monitoreo continuo de mecanismos emergentes de resistencia. El objetivo de este trabajo fue evaluar la susceptibilidad antimicrobiana de bacterias de importancia clínica aisladas de infecciones nosocomiales y ambulatorias en Paraguay durante el año 2023. Fueron analizados en la Sección Antimicrobianos del Dpto. Bacteriología y Micología del Laboratorio Central de Salud Pública, datos de aislamientos de laboratorios de bacteriología que conforman la Red Nacional de Vigilancia Laboratorial de la RAM en Paraguay, remitidos en formato WHONET. Los resultados revelaron una alta resistencia a los antimicrobianos en aislados de infecciones bacterianas, tanto hospitalarias como comunitarias. Se evidenció un perfil de resistencia alarmante a carbapenémicos (imipenem y meropenem) en Acinetobacter baumannii (83,3% y 78,5%), Pseudomonas aeruginosa (35,1% y 31,2%) y K. pneumoniae (37,4% y 37,9%). En Staphylococcus aureus de origen comunitario y hospitalario, la resistencia a la meticilina fue de 41,8 % y 49,5 respectivamente. La alta resistencia a antimicrobianos encontrada exige un fortalecimiento inmediato de la vigilancia epidemiológica, la implementación de rigurosas medidas de control de infecciones en el ámbito hospitalario y la optimización del uso de antimicrobianos. Un enfoque multisectorial es esencial para abordar de manera global y efectiva esta problemática de salud pública.
Percepción de prácticas de gestión directiva en escuelas interculturales
Authors: Álvarez San Martín Roberto , Salazar Briones Ernesto Alberto , Poblete Díaz Viviana Andrea
Published: January 2025

Considerando que la gestión directiva es uno de los pilares centrales de la calidad educativa, esta investigación tuvo por objetivo analizar la percepción que directivos y docentes de escuelas interculturales del sur de Chile, tienen sobre las prácticas de gestión directiva. Se utilizó una metodología cuantitativa, de corte descriptivo, y una muestra censal de directivos y docentes de tres escuelas rurales que implementan el Programa de Educación Intercultural Bilingüe; para la recolección de los datos se utilizó un cuestionario tipo Likert. Los resultados evidencian que, a pesar de contar con una percepción favorable, hay diferencias perceptivas entre directivos y docentes, y entre escuelas, lo cual devela algunas paradojas que conducen a afirmar que, en los proyectos educativos institucionales, a pesar de definirse como interculturales, predomina una visión monocultural y asimilacionista, descontextualizada del entorno sociocultural. Se concluye que existen algunas falencias en cuanto a competencias de gestión directiva para la conducción de un proyecto educativo que busca desarrollar en el alumnado las competencias básicas para transitar entre culturas.
Experiencia del Proyecto Creación de la Oficina de Trasferencia Tecnológica: Innova Lab - UAA®, en el marco del proceso de Planificación Estratégica
Authors: Flores-Alatorre José Francisco , Garcerá Murillo Mario Alejandro , Caballero García Cristina R , Riveros Quintana Ricardo , González de Aguirre Wilma F. , Dinatale Ayala María Cristina
Published: January 2025

Este documento detalla el proceso técnico para la creación de una Oficina de Transferencia Tecnológica (OTRI) en la Universidad Autónoma de Asunción (UAA), en el marco del programa PROCIENCIA del Consejo Nacional de Ciencia y Tecnología del Paraguay (CONACYT), y con el apoyo de expertos extranjeros de la Uniempresarial de Bogotá, Colombia. Su objetivo es describir el proceso técnico implementado para el establecimiento de la OTRI, en el contexto de la planificación estratégica. El proyecto se desarrolló a partir de un proceso de planificación estratégica, siguiendo la metodología de Castro Martínez y García Aracil (2021), que combina un análisis cualitativo interno mediante el FODA y un análisis cuantitativo interno a través de estudios de mercado. La metodología de trabajo fue bajo el enfoque socio-crítico, bajo la metodología de investigación - acción. Integrando herramientas cualitativas (FODA) de 12 investigadores de la universidad para el análisis interno, y cuantitativas con datos de correspondiente al estudio de mercado de 38 empresas participantes. Los principales resultados generados del proceso de investigación acción son: El resultado de los análisis de los componentes generó el establecimiento de 4 programas para la gestión de la transferencia y resultados de investigación: 1. Hub de innovación y emprendimiento para el desarrollo de proyectos de desarrollo de innovación empresarial y social; 2. Programa de Desarrollo e Innovación de Pyme - Empresas; 3. Programa de aceleración para el desarrollo de proyectos de innovación y de nuevas empresas de base tecnológica e innovación; 4. Programa de fortalecimiento de la trasferencia tecnológica. Se concluye: Aunque la UAA enfrenta desafíos, las oportunidades incluyen la disponibilidad de financiamiento y la cooperación internacional. La OTRI se proyecta como un mediador clave entre la academia y la industria, con el potencial de convertirse en un parque tecnológico que impulse la creación de industrias basadas en conocimiento y tecnología.
Climate Change Vulnerability and Food Insecurity: Empirical Evidence for Countries in Latin America and the Caribbean
Authors: Salazar Lina , González Mario , Alvarez Luis
Published: January 2025

Agri-food systems face unprecedented challenges in feeding a growing population while preserving natural resources in the presence of climate change. Climate change is a global phenomenon but its impacts on food systems are highly heterogenous. Aspects such as economic, social, geographical and environmental factors might increase or reduce a regions vulnerability. This study uses panel data analysis to explore the channels through which climate change vulnerability affects food security in Latin America and the Caribbean (LAC), including subregional analysis. The results confirm that climate change vulnerability is closely linked to food security and its dimensions, namely: availability, access, use and stability. These findings provide important insights for LAC countries to take action on improving food systems resilience to climate change.
NVIDIA Based Smart Attendance System in Industries and Education Systems
Authors: Sekhar Velappagari , Venu Reddy Kumar B. , Rajeev P. R. , Seenivasan M.
Published: January 2025

These days’ attendance and monitoring manually is extremely difficult for the supervisor in working sectors especially coal mining industries. Manual entry of the attendance in logbooks may increase the chance for error in attendance and it may also through burn the time, by employing a clever, automated attendance management solution to address this issue. By using this approach, it will be simple to resolve the issue of proxies and employee being counted as present even when they are not. In this approach, the live video stream will be used to record attendance. The facial landmarks algorithm is used to extract the picture frames from the clip. Face detection and recognition are the primary implementation processes, which involve matching the detected (recorded) face with the faces that have already been stored in open CV and the employee database. This strategy will be an effective way of managing employee attendance. Our work was implemented on an NVIDIA board, and this method will make use of the benefits of Python libraries like Open CV. Its memory is supported by the MySQL database management system. The MySQL database will store the recorded attendance for later use or for archival purposes. This system is capable enough to be integrated with any applications to increase automation and user friendliness thanks to its fasted rand more accurate performance when employing the facial and mark algorithm. The attendance records of employee will be more accurate and reliable thanks to this intelligent and automated technology, which will also give the data security.
Probing Defects by Positron Annihilation Lifetime Spectroscopy in Electrochemically Synthesized ZNO Nanocomposites: A Comparative Study
Authors: Lakshmi G. Chaitanya
Published: January 2025

The present article gives a detailed comparative description of the dopant and particle size dependant changes in the structural arrangement of intrinsic defects present in electrochemically synthesized ZnO:M or ZnO:MO nanocomposites. X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) have been carried out to find the shapes and sizes of the nanocrystalline ZnO composites. Presence of defects in detail is carried out using positron annihilation spectroscopy, which reveals the presence of zinc vacancy. The studies reveal that small particles which are spherical in nature around a critical size (~23 nm) are in receipt of better positive surface charge due to the higher occupancy of the doubly charged oxygen vacancy as compared to the larger nanostructures whereas singly charged oxygen vacancy predominates. This change in electronic structure has been acting as an initiator yet another interesting phenomenon, described as positron confinement inside nanocrystals. To conclude, based on all the above mentioned techniques, a model of the structural arrangement of the intrinsic defects in the present samples has been reconciled.
Production and Performance Evaluation of Biofuel Obtained from Artocarpus heterophyllus Waste
Authors: Shashikala A. R. , Sridhar B. S.
Published: January 2025

Biofuel production from agricultural and fruit wastes is one of the major solutions towards the generation of renewable energy and the management of waste. Production of low-cost second generation Biofuel from lignocellulosic fruit wastes of Artocarpus heterophyllus was carried out by saccharification and fermentation process. Baker’s yeast was used for fermentation as it gives a high yield of bioethanol. Reducing sugars in the pretreated sample at different acid concentrations was found using the DNSA Method. The process optimization was carried out by varying fermentation temperatures to obtain a high bioethanol yield. The produced bioethanol was extracted by distillation process. The bioethanol obtained was tested for its efficiency in a four-stroke single-cylinder petrol engine Test Rig. The bioethanol was blended with petrol in different proportions. The results obtained indicate the addition of bioethanol to petrol can reduce harmful combustion gases thereby contributing to decreasing pollution. It also improves brake thermal efficiencies and reduces the consumption of fuel. The fuel combustion properties and Calorific Value of the petrol bioethanol blend were also determined.
Detection of Silver Metal Ion by Fluorescence Quenching Studies on Chlorobenzene-Substituted 1,3,4-Oxadiazole Derivatives
Authors: Chandrashekara  , Jyothi T. P. , Khan Misbhauddin , Seleen A. Anthony , Naik Lohit , Yao Yin , Kapelyushin Yury , Mbohwa Charles , Pasha U. Mahaboob
Published: January 2025

Detection of silver nanoparticles by the fluorescence quenching of a chlorobenzene-substituted 1,3,4-oxadiazole derivative, specifically 2-(5-bromonaphtho[2,1-b]furan-2-yl)-5-(2-chlorophenyl)-1,3,4-oxadiazole (2Brx) was investigated by spectroscopic techniques. The fluorescence spectra and fluorescence lifetime of the 2Brx molecule were measured in Dimethyl Sulfoxide (DMSO) by varying concentrations of silver nanoparticles to observe the quenching effect. Key parameters such as Stern-Volmer constants, quenching rate constants, the probability of quenching per encounter and the activation energy of quenching were determined. Time-resolved fluorescence measurements revealed that quenching predominantly occurs through collisional interactions between 2Brx and the silver nanoparticles, with an influence static component. The values of the probability of encounter and the activation energy indicate that the quenching reaction is not exclusively governed by material diffusion. Stern-Volmer plots obtained from steady-state and time-resolved methods demonstrate linear behaviour for the 2Brx and silver nanoparticle systems. The overall results suggest that 2Brx may be effectively used for silver metal ion detections.
QSPR Techniques Using Different Variants of the Nirmala Index
Authors: Sharma Girish , Bhuvaneshwari K. P. , Deekshitha L. N.
Published: January 2025

A subfield of graph theory called chemical graph theory ties mathematics to chemistry and biology. By visualizing each chemical as a graph, it has been possible to determine the structural stability and physical characteristics of distinct compounds. A topological index is referred to as a molecular descriptor in this manner. The goal of this work is to generalize a recently developed degree-based topological index for a common family of graphs and use it to identify the various physical parameters of some alkanes using a linear regression model. We find a strong correlation between the topological index and a compound's physical attribute using elementary statistics.
Numerical Study of Nanomaterial Flow with Joule Effect, Coefficient of Rate of Chemical Reaction along with Viscous Dissipation and Heat Source
Authors: Dinesh P. A. , Sumithra R. , Roopa K. R. , Yadav Sweeti , Shrigowri H. R. , Gowthami M. V. , Jyothsna R. , Shivakumar N. S. , Aparna R.
Published: January 2025

This research, investigate the flow of nanomaterials with heat radiation, viscous dissipation, Joule effect. The paper also investigates the rate of chemical reactions, which reveals how the concentration of nanoparticles in the nanofluid varies over time and space. A physical representation guided us to a nonlinear paired partial differential equation, which was then reduced to an ordinary differential equation using the similarity approach for different presumptions on the real situation. The computational effort is carried out by compressing the Runge-Kutta-Felberg method with the Newton-Raphson iterative strategy to solve non-linear linked ordinary differential equations by changing the boundary value issue to an initial value problem by selecting a guess value. Later, computations for numerous non-dimensional factors relevant in the investigation of fluid flow, such as temperature, are anticipated. It has been noted that the reaction rate parameter had a major impact on the concentration profiles, and that when the reaction rate parameter rises, the boundary layer’s concentration thickness increases.
Green Synthesis, Characterization, and Assessment of the Antimicrobial Activity of Metal-Free Carbon Dots Derived from Moringa oleifera Leaves
Authors: Malini M. R. , Kottam Nagaraju , Smrithi S. P. , Devendra Bharath K. , Srinivas R. Prasanna , Surendra A. S. , Prasannakumar S. G. , Harshitha P. , Chandana A.
Published: January 2025

Carbon dots are fluorescent carbon nanomaterials that are less than 10 nm in size and they have gained considerable gaining importance due to their stability in chemicals, very good water solubility nature, cost effective and fluorescence properties. In this research, the extraction of carbon dots (C-dots) from the Moringa, and their potential to wield as a potent mineralized antibacterial agent, are under rigorous scrutiny. A single hydrothermal crucible was harnessed to smelt the CDs. Additionally, analytical tools like UV-visible spectrophotometry, fluorescence spectroscopy, and Fourier Transform Infrared Spectroscopy (FT-IR) were used to analyze the produced C-dots. By using the minimum inhibitory concentration and agar diffusion techniques, the antibacterial activity of the as-synthesised carbon dots was examined against Bacillus sp., Escherichia coli, Pseudomonas sp., and Klebsiella. Results suggest that the synthesised carbon dots have maximum antibacterial activity against Pseudomonas sp. These results reveal that Moringa leaves are a potential source of carbon dots with antimicrobial efficiency.
Radiation Effect on Heat and Mass Transfer of Casson Fluid owing to a Stretching Cylinder – A Numerical Approach
Authors: Sushma S. , Uma M. , Neeraja G. , Dinesh P. A. , Kalavathi G. K.
Published: January 2025

A numerical study has been done to recognize the effects of non-Newtonian fluid outside a stretching absorbent cylinder with respect to radiation and suction or blowing. To model non-Newtonian fluid flow behavior Casson fluid is deliberated. To solve the leading differential equations similarity transformation is applied and finally the resultant equations are resolved mathematically with the assistance of shooting method. This work is contributed to know the effects of some of the factors such as Casson, radiation, suction/injection, Prandtl and Reynolds numbers for velocity, temperature and concentration profiles. The study is extended to know the effects of skin friction coefficient and temperature gradient and concentration gradient at the surface.
Application of Machine Learning and Deep Learning Models in the Supervision of Apiculture
Authors: Raghavendra C. G. , Adithya H. H. , Lekhashree H. J. , Anaghaa R. , Guha H.
Published: January 2025

Honey bees are well known for crop pollination and honey production which in turn plays a vital role in global agriculture. They face various threats from parasites, ants, hive beetles, pesticides, pollutants, toxins, and also hive robberies which could finally lead to the collapse of colonies. These major problems have led to the worldwide decline of honey bees. Thus, determining colony strength has gained importance in sustainable beekeeping. Machine Learning (ML) techniques provide various solutions for these problems by accurately monitoring and detecting the hive status. This paper reviews such techniques which help in monitoring and detection of other features. This helps the beekeepers to drive control over effective honey extraction and increase productivity.
Extraction, Isolation and Purification of Kaempferol from Cassia fistula L. Flowers
Authors: Arland Shivanjali Esther , Kumar Jyotsna
Published: January 2025

Cassia fistula L., (CFL) (Fabaceae) commonly called the Golden Shower Plant has an abundance of phytopharmaceuticals. It has been used as the oldest natural sweetener. Due to its eminent ethno-medicinal values since ages, it has been used in Ayurveda, Chinese and Unani medicine for innumerable diseases and illnesses like cold, congestion, sore throat, jaundice, wound healing, typhoid, constipation, cancer, etc. Kaempferol (KP) is one such active metabolite present in CFL flowers that displays prominent bioavailability. In recent times, life-threatening diseases have escalated worldwide, which has shifted the focus from synthetic medicines to herbal medicines. In the present work, for the first time, the extraction of KP (a flavonoid, 3, 5, 7-trihydroxy-2-(4-hydroxyphenyl)-4H-1-benzopyran-4-one) from CFL flowers was done using methanol as solvent. High-Performance Liquid Chromatography (HPLC) was employed further for the isolation and purification of KP from CFL flowers. Spectral analysis such as Fourier Transformer Infrared Spectroscopy (FTIR), Liquid Chromatography-Mass Spectrometry (LC-MS), and Nuclear Magnetic Resonance (NMR) was conducted for the structural determination of isolated KP. Through Thin Layer Chromatography (TLC) fingerprinting, only 15% purity of KP was achieved, whereas by using HPLC this enrichment reached approximately 85-90%. By performing different spectral characterisations, isolated and purified KP was substantiated as the spectroscopic data obtained agreed well with the literature. Extraction, isolation, and purification of KP from CFL flowers offer a green alternative to explore the therapeutic utility of this important phytoestrogen for the development of several design and real-world applications in pharmaceutical material science for various biological activities.
Preparation, Characterization and Electromagnetic Shielding Properties of Nickel-Doped Fe3O4/Epoxy Composites
Authors: Anu K. S. , Vishnumurthy K. A. , Natarajan K.
Published: January 2025

In this proposed work, we synthesized Ni doped Fe3O4 (Ni0.5Fe2.5O4) by simple co-precipitation method. The crystal structure and phase transition in the crystal lattice had been examined by FTIR and Raman spectroscopic technique. The doping of Ni into the iron oxide was characterized by X-ray diffraction (XRD) and energy dispersive X-ray analysis (EDAX). The optical properties of the nanoparticles were also studied by the UV-Visible spectroscopy. These Ni doped Fe3O4 particles were incorporated into the epoxy matrix in different weight percentage (5wt%, 10wt% and 15wt%). The morphological analysis was performed by Scanning Electron Microscopy (SEM) and the electromagnetic shielding properties of the composites was measured using Vector Network Analyzer (VNA) in X-band (8-12GHz) and the study revealed that the electromagnetic shielding property increases with the increase in the filler loading. The 15wt% of the filler/epoxy composite had showed highest Electromagnetic Interference (EMI) Shielding Effectiveness (SE) value of -24.46dB at around 10GHz. Hence, Ni doped Fe3O4 have become an efficient EMI shielding material with excellent optical properties.
The Assessment of Health-Related Quality of Life and Knowledge, Attitudes and Practices of Type 2 Diabetics After Participating in Health Education Programme: A Study in The Local of Vietnam
Authors: Nghiep Le Ke
Published: January 2025

Introduction: The proper awareness and education programme improves patient’s knowledge, while changing attitude, leading good practices and improving health-related quality of life. This study purposes evaluated the health education programme results for type 2 diabetes on the health-related quality of life, knowledge, attitude, and practices.
Method: 85 type 2 diabetes diagnosed over six months and aged 35-65 were included the study. Vietnamese Diabetes Quality of Life and Knowledge, Attitude, and Practices questionnaires were used to assess the health-related quality of life and knowledge, attitude, and practices of type 2 diabetes. The education tool was a brochure containing the information diabetes. Descriptive statistics were used for the quantitative data. Qualitative data displayed in numbers and percentages. The changes of the programme results tested by Pair Sample T-test.
Results: 85 patients had an average age of 57.14 ± 6.413 years. All participants had little type 2 diabetic knowledge 37.882 ± 12.639 points. Meanwhile, the patient' s attitude toward disease was average 65.971 ± 19.488 points. However, the patient’s practices were low 52.120 ± 14.150 points. Moreover, their health-related quality of life was low 51.216 ± 19.125 points, however, it improved significantly after 6 months -34.518. Also, there has been significant improvement of the knowledge (6,212), attitude (9.494) and practices (4.771).
Conclusion: The health-related quality of life of type 2 diabetes lowed level, but it changed significantly after participating programme. The patient' s knowledge lowed, the attitude toward disease moderated and the self-care practice lowed, but these problems changed markedly after attending education.