bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PROFIT SHARING PADA TABUNGAN MUDHARABAH UNTUK MENINGKATKAN MINAT NASABAH DI KSPPS NURI JATIM SOKOBANAH 1 SAMPANG
Authors: Haridah  , Imam Muslim M. , Sulaiman Sulaiman
Published: November 2024

Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) NURI Jatim Sokobanah 1 Sampang mempunyai beberapa produk baik pembiayaan maupun simpanan. Salah satu produk tabungan KSPPS adalah tabungan mudharabah. Anggota menyimpan dananya di KSPPS NURI dan mempercayakan sepenuhnya dana simpanannya tersebut untuk dikelola oleh KSPPS NURI dengan harapan mendapat bagi hasil. Pendapatan yang diperoleh KSPPS NURI dalam melempar dana tabungan mudharabah akan dibagi hasilnya sesuai dengan kesepakatan nisbah antara pihak anggota dan KSPPS NURI, yaitu 30% untuk nasabah dan 70% untuk koperasi. Penelitian ini bertujuan untuk mengetahui tentang sistem bagi hasil dalam tabungan (simpanan mudharabah) yang dilakukan oleh KSPPS NURI Jatim Sokobanah 1 Sampang. Adapun penelitian ini merupakan penelitian kualitatif yang digambarkan dengan kata- kata atau kalimat-kalimat yang dipisahkan menurut kategori untuk memperoleh kesimpulan. Pengumpulan data menggunakan wawancara dengan marketing funding KSPPS NURI Jatim Sokobanah 1 Sampang. Metode observasi dengan mengamati langsung kegiatan pembiayaan di lapangan.
UGT NUSANTARA BASMI PRAKTEK RENTENIR
Authors: Asy’ari Qaiyim , A. Fawaid Trisman , Bardi Shofi
Published: November 2024

Penelitian ini bertujuan untuk mengetahui strategi UGT Nusantara (BMT Sidogiri) Capem Pagendingan dalam mengatasi praktek rentenir di Pasar Pagendingan dan Pasar Larangan. Praktek rentenir sudah lama terjadi pada  pedagang di Pasar Pagendingan dan Pasar Larangan, karena jumlah pedagang di kedua pasar tersebut sekitar 70 orang, meskipun sedikit tapi rata-rata nasabah disana menabung diatas 100 rb setiap hari. Atas dasar hal ini diperlukannya strategi yang tepat untuk mengatasi persoalan tersebut. Jenis penelitian yang digunakan adalah kualitatif deskriptif dengan unit analisis strategi preventif dan strategi kuratif untuk mengatasi praktek rentenir dengan menggunakan metode studi kasus. Jenis data dalam penelitian ini menggunakan data primer yang bersumber dari wawancara semi terstruktur, observasi terus terang dan samar-samar, serta dokumentasi. Hasil penelitian ini membuktikan bahwa UGT Nusantara berperan dalam mengatasi praktek rentenir dengan strategi preventif dan strategi kuratif. Strategi preventif meliputi: sosialisai, variasi produk simpanan yang beragam, layanan jemput bola, memaksimalkan pembiayaan, margin rendah, dan bonus. Adapun strategi kuratif adalah pembiayaan take over. Dari strategi tersebut menyebabkan 70 orang yang memperoleh pembiayaan, sebanyak 85 persen tidak lagi meminjam ke rentenir.
БЛОГІНГ ЯК ФОРМА ПРОФЕСІЙНОЇ ЖУРНАЛІСТСЬКОЇ КОМУНІКАЦІЇ ДЛЯ ПРОСУВАННЯ ТА МОНЕТИЗАЦІЇ КОНТЕНТУ ТА ТОВАРІВ
Authors: Міщенко Вячеслав
Published: November 2024

Нині вже є низка блогерів, на яких рівняються і за якими стежать мільйони глядачів. У цій статті ми перерахували вже так чи інакше описані дослідниками медіа та практиками медіасфери моделі монетизації, уточнили деякі моменти цих моделей, спробували проаналізувати складності використання перерахованих методів монетизації. Як бачимо, перехід до альтернативної комерції найлегше дався електронним медіа. Однак і «традиційні» медіа заради прибутку попрямували до сфер, далеких від журналістики. Дане дослідження зосереджено на унікальному розподілі доходу від платної аудиторії між зацікавленими сторонами, оскільки ця функція робить платні запитання та відповіді успішними та допомагає забезпечити сталість платформи соціальних медіа. Це дослідження спирається на теорію сигналів, щоб визначити рушійні сили продажів платної аудиторії. В статті були застосовані методи аналогії, методи порівняння, методи систематизації, метод дедукції та абстрагування. Новизна дослідження полягає у визначенні блогів та блогінгу як особливого напрямку журналістської діяльності, у встановленні поняття монетизації контенту, особливостей монетизації інформаційного контенту у відомих інтернет-медіа, у виявленні видів інтегрованої реклами та особливостях монетизації.
Inclusión financiera en las personas de comunidades rurales para mejorar sus condiciones de vida
Authors:   Universidad de Guadalajara/Jalisco/México, Esparza Gallegos Montserrat , Herrera Días de León Luis Lenin ,   Universidad Autónoma de Aguascalientes-Aguascalientes-México, Colmenares Flórez Ricardo Alonso ,   Fundación Universitaria CEIPA/Medellín/Colombia
Published: November 2024

Este artículo de investigación tiene como objetivo proponer una serie de estrategias que permitan fortalecer la educación financiera de las personas de las comunidades rurales. La metodología aplicada a esta investigación vierte en sentido mixto, ya que es tanto cualitativa, utilizando el diseño fenomenológico por medio de la recolección de documentos y la aplicación de encuestas, como cuantitativa, con alcance descriptivo mediante la obtención de datos numéricos y estadísticos adquiridos de la aplicación de encuestas. Los resultados obtenidos indican que los niveles de educación influyen en la correcta o incorrecta toma de decisiones financieras. En resumidas cuentas, la educación financiera juega un rol muy importante al dar la pauta para saber obtener y administrar los recursos por medio de servicios que ofrecen las instituciones financieras, ya sea en ventanilla o por medio de las tecnologías que existen en la actualidad.
Choosing friends in an uncertain world: information reduces relationship stability in a Bayesian learning model of cooperative partnership
Authors: Padget Rebecca , Fawcett Tim , De Moor Delphine , Darden Safi
Published: November 2024

Social animals often form differentiated social relationships with conspecifics. Developing closer partnerships with some than others can facilitate cooperative interactions in which individuals share resources or risk. When choosing a partner, individuals face a decision: a known partner might be sub-optimal if better options are available, but switching partners can be risky if others' behaviour is uncertain. This decision likely depends on how much information individuals have about the behaviour of others in the group compared to their current partner. To investigate the effect of information on cooperative partnership, we developed a Bayesian learning model to identify when individuals should switch partner given the cooperativeness of their partner and knowledge of the population. We then extended this to simulate a population of individuals interacting and switching partners, according to the Bayesian learning model. We found that when individuals had some information about the population, they switched more often than when they did not but that once individuals had a non-zero amount of information, there was little effect of increasing information further. This suggests that populations in which individuals have (or can store) no information about others might have more stable partnerships than populations in which individuals have knowledge of others' behaviour. Our model therefore demonstrates that individuals having more information can lead to social instability that might negatively effect the maintenance of cooperation through reciprocity.
Gut microbiome composition and function – including transposase gene abundance - varies with age, but not senescence, in a wild vertebrate
Authors: Lee Chuen , Worsley Sarah , Davies Charli , Silan Ece , Burke Terry , Komdeur Jan , Hildebrand Falk , Dugdale Hannah , Richardson David
Published: November 2024

Studies on wild animals, mostly undertaken using 16S metabarcoding, have yielded ambigous evidence regarding changes in the gut microbiome (GM) with age and senescence. Furthermore, variation in GM function has rarely been studied in such wild populations, despite GM metabolic characteristics potentially being associated with host senescent declines. Here, we used seven years of longitudinal sampling and shotgun metagenomic sequencing to investigate taxonomic and functional changes in the GM of Seychelles warblers (Acrocephalus sechellensis) with age and senescence. Our results suggest that taxonomic GM species richness declines with age and in the terminal year, with this terminal decline occurring consistently across all ages. Taxonomic and functional GM composition also shifted with host age. However, all the changes we identified occurred linearly with adult age, with little evidence of accelerated change in late life or during their terminal year. Therefore, the results suggest changes that changes in the GM with age are not linked to senescence. Interestingly, we found an increase in the abundance of a group of transposase genes with age, which may accumulate passively or due to increased transposition induced as a result of stressors that arise with age. These findings reveal taxonomic and functional GM changes with age in a wild vertebrate and provide a blueprint for future wild functional GM studies linked to age and senescence.
Életre kelt történelem a Gödöllői Királyi Kastélyban és más múzeumokban
Authors: Dutka Tímea
Published: November 2024

A tanulmány a kosztümös tárlatvezetések gyakorlatát elemzi, mint az „életre kelt történelem” egyik formáját, különös tekintettel a Gödöllői Királyi Kastélyra. A kutatásom célja az élő történelem gyakorlati megvalósításának és annak előnyeinek, kihívásainak feltárása, valamint javaslatok kidolgozása a kastély programjának továbbfejlesztésére. Az élő történelem fogalmát több szempontból vizsgálom, beleértve annak oktatási, szórakoztató és kulturális hagyományokhoz való kapcsolódását. A tanulmány kiemeli az élő történelem formáinak sokféleségét és a különböző megközelítések jelentőségét a múlt életre keltésében. A Gödöllői Királyi Kastély és a Nemzeti Múzeum programjainak elemzése révén bemutatom, hogy a kosztümös tárlatvezetések és az élő történelmi előadások hogyan képesek gazdagítani a látogatói élményt, emellett összehasonlítom őket más hagyományőrző tevékenységekkel. Az élményséták marketingstratégiájának és a közösségi média használatának vizsgálatával rávilágítok a program népszerűsítésének kihívásaira és lehetőségeire, kiemelve az online jelenlét fontosságát. A kosztümös tárlatvezetések a Gödöllői Királyi Kastélyban életre keltik a történelmet, ezáltal mélyítik el a látogatók történelmi ismereteit és növelik az érdeklődést a helyi kultúra iránt. Az élő történelem gyakorlata elősegíti a kulturális örökség megőrzését, emellett gazdagítja a turisztikai kínálatot, ami hozzájárul a helyi gazdaság fejlődéséhez.
Evaluation of responses to energy price changes in the light of primary research among Hungarian enterprises
Authors: Baranyi Aranka , Bélyácz Iván , Széles Zsuzsanna , Csernák József
Published: November 2024

For a business to survive, it is increasingly important to be resilient to shocks caused by the economy, the market and inflation, in addition to financial conditions. Our research was conducted in the second half of 2022, when 184 large and medium-sized enterprises were questioned online. The survey, and the purpose of our study, was to examine how businesses were responding to the rise in energy prices. The pandemic itself has posed challenges for both Hungarian and international businesses, but the emerging energy price shocks have added new challenges. The survey data were processed using SPSS statistical software package. Following the assessment of descriptive statistics, factor analysis was used to examine whether businesses responded differently or in the same way to questions about their operations. After data cleaning, three factors were identified, on the basis of which the enterprises were classified using cluster analysis, and it was then possible to characterise the enterprises at the group level. The factor analysis showed that firms follow a preference order in their short and long term decisions. The majority of the firms in the sample were sensitive to the increase in energy prices, with different responses.
Actividades físicas adaptadas- motricidad gruesa: experiencia de inclusión para casos con Síndrome de Down
Authors: Ibarra Murillo Andrea Nathalie , Hernández Gilse Ligia Elena , Maqueira Caraballo Giceya de la Caridad
Published: November 2024

Introducción. Fomentar la mejora de la motricidad gruesa en los estudiantes que presentan Síndrome Down, resulta fundamental para su inclusión a la clase de Educación Física y para su desarrollo integral. Objetivo. Diseñar actividades físicas adaptadas dirigidas al perfeccionamiento de la motricidad gruesa e inclusión dentro de la clase de Educación Física de estudiantes con Síndrome de Down. Metodología.  Se siguió un enfoque mixto, de tipo preexperimental; apoyada en métodos teóricos y empíricos, unidos a técnicas como la observación, la entrevista y la batería de evaluación de movimientos Movement. Todo el proceso contempló tres etapas: diagnóstico, diseño, aplicación - validación. La muestra fue no probabilista de tipo intensional con énfasis en un caso que presenta Síndrome de Down, ubicado en la Unidad Educativa Peekaboo de la ciudad de Guayaquil. Resultados. Los resultados obtenidos evidenciaron las limitaciones que presenta en la motricidad gruesa la estudiante con Síndrome de Down, así como la carencia de actividades físicas adaptadas que posibiliten la inclusión dentro de la clase de Educación Física; derivado de esto se diseñaron 8 actividades físicas adaptadas, las cuales fueron validadas inicialmente mediante criterios de especialistas y posterior a esto fueron aplicadas durante 8 semanas reconociéndose su pertinencia y factibilidad. Conclusiones. Se concluye señalando que las actividades físicas adaptadas propuestas resultan favorables para el perfeccionamiento de la motricidad gruesa en los estudiantes con Síndrome de Down, contribuyendo al proceso de inclusión y a su desarrollo integral. Área de estudio general: Educación. Área de estudio específica: Educación Física Inclusiva. Tipo de estudio: artículo original.
Sistem Kendali Tekanan Udara Sekunder Pada Force Draft Fan (FDF) Pembangkit Listrik Tenaga Uap
Authors: Mutiara Fitri Hanifah , Wardoyo Siswo
Published: November 2024

Penelitian ini bertujuan untuk menilai efektivitas penggunaan Pressure  Transmitter pada Force Draft Fan di Pembangkit Listrik Tenaga Uap. Evaluasi dilakukan melalui serangkaian pengujian untuk mengukur tekanan udara dan menganalisis respons posisi Inlet damper dalam pengaturan aliran udara. Data dikumpulkan melalui studi literatur, observasi langsung di lapangan, serta wawancara dengan praktisi terkait. Hasil pengukuran menunjukkan adanya variasi tekanan yang signifikan dengan beberapa kesalahan pengukuran yang perlu dievaluasi lebih lanjut. Meskipun demikian, sistem masih berfungsi dalam batas yang dapat diterima. Penelitian ini diharapkan dapat memberikan wawasan lebih mendalam mengenai pengendalian tekanan pada Force Draft Fan guna meningkatkan efisiensi dan stabilitas operasi di Pembangkit Listrik Tenaga Uap.
Promising cell systems for targeted delivery of nano- and microcarriers loaded with drugs or biomolecules (review)
Authors: Miroshnichenko L. A. , Polyakova T. Yu. , Khlusov I. A. , Avdeeva E. Yu. , Luzhanin V. G. , Khlusova M. Yu. , Belousov M. V.
Published: November 2024

Introduction. Cellular systems for targeted delivery of drug and biological molecules (drug delivery systems, DDSs) are currently considered as a promising solution to the problems of nano- and micro-sized drug carriers.

Text. The review briefly examines fundamental and applied issues in the development of cellular DDSs, the morphofunctional diversity of which theoretically makes it possible to solve the problems of pharmacotherapy of various diseases. Sources are presented summarizing clinical protocols for the use of cellular DDSs, which are, however, limited to antitumor and anti-inflammatory therapy. The advantages, as well as particular and general disadvantages of using certain cells (blood cells, immunocytes, stem cells) as promising platforms for translation into clinical practice of delivery vehicles for various drugs (antibiotics, cytostatics, monoclonal antibodies, enzymes, etc.) loaded into nano- and micro-sized DDSs.

Conclusion. Despite the obvious and impressive successes of fundamental and applied research in this area, a difficult path lies ahead in optimizing the processes of targeted delivery and controlled release of drug and biological molecules using cellular DDSs.
Implementation Of Technology Towards The Merdeka Curricullum Doing Diagnostic Assessment For Student with Autism Spectrum Disorder In Preschool Level
Authors: Suryadi Yeanny , Yus Anita , Milfayetti Sri
Published: November 2024

This research aims to developing an effective and applicable diagnostic assessment instrument that has been prepared based on the requirements of competency standards for graduates at the preschool institute. The instrument functions is to separate mild and moderate levels of the autism spectrum, for students with learning disabilities resembling autism spectrum symptoms in early childhood. This research used R and D methode from Borg and Gall with result is this application product containing a 23-item questionnaires that has been validated by material, language and media experts. Subject of this research is teachers of preschool institutions, and the objek is the instrument of diagnostic assessment wich researcher build. The practicality test results of this instrument have a percentage level of 92.52% in the 'very practical' category, with a validity test level of 84%, on the Likert scale showing the instrument is 'very feasible'.
Comparison Of Machine Learning Algorithms On Stunting Detection For 'Centing' Mobile Application To Prevent Stunting
Authors: Sabilillah Ferris Tita , Sari Christy Atika , Abiyyi Ryandhika Bintang , Susanto Ajib
Published: November 2024

Stunting is a growth disorder caused by chronic undernutrition, with long-term impacts on child health and development. In Indonesia, the prevalence of stunting reached 31.8% in children under five years old in 2018, indicating an urgent need for effective interventions. In an effort to address this issue, we developed a mobile application called Centing (Cegah Stunting) that utilizes machine learning for early detection and prevention of stunting. In this study, we compare the performance of four machine learning algorithms Logistic Regression, Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel, Convolutional Neural Network (CNN), and Multilayer Perceptron (MLP) in detecting children's nutritional status based on a dataset from Kaggle with 121 thousand data and four main features: age, gender, height, and nutritional status. The experimental results show that SVM with RBF kernel and CNN achieved the highest accuracy of 98%, while Logistic Regression and MLP achieved 76% and 97% accuracy respectively. SVM with RBF kernel was chosen as the best model due to its high accuracy and efficiency in computation time. These findings suggest that the Centing application, with the implementation of SVM RBF, has significant potential in early detection and prevention of stunting, and makes an important contribution to improving child health in Indonesia.
Performance Comparison of KNN and CNN in Classifying Balinese Gangsa Instrument Tones
Authors: Yusadara I Gede Putra Mas , Dewi Ni Made Rai Masita , Budaya I Gede Bintang Arya
Published: November 2024

Balinese traditional music, particularly the Gamelan Gangsa, represents a unique aspect of Indonesia’s cultural heritage. Despite its cultural significance, the study and teaching of this instrument face challenges, particularly in tone standardization and the availability of effective learning tools. This research addresses these challenges by exploring the application of Artificial Intelligence (AI) technologies specifically K-Nearest Neighbors (KNN) and Convolutional Neural Networks (CNN) in the identification and classification of Gamelan Gangsa tones. The study involved the creation of a dataset comprising audio recordings of the instrument, followed by the development and evaluation of KNN and CNN models. The results indicate that KNN, with an accuracy of 90%, outperformed CNN, which achieved an accuracy of 85%. The findings suggest that KNN is particularly effective in distinguishing subtle tonal differences, making it a valuable tool for supporting traditional music education. This research not only contributes to the technical understanding of Gamelan Gangsa’s acoustic characteristics but also underscores the potential of AI in cultural preservation. The development of AI-based tone identification systems can facilitate the teaching and learning of traditional music, ensuring its transmission to future generations. The study serves as a foundation for further exploration into the integration of AI technologies with cultural heritage, demonstrating how modern innovations can enhance the appreciation and understanding of traditional arts.
Designing an Used Goods Donation System to Reduce Waste Accumulation Using the WASPAS Method
Authors: Wayahdi M. Rhifky , Ruziq Fahmi
Published: November 2024

This research aims to build a website application-based selection system for recipients of used goods donations using the WASPAS method. This system is designed to assist in the efficient and fair distribution of used goods to recipients in need. The WASPAS method is applied to calculate the preference value (Qi) for each alternative donation recipient based on predetermined criteria. The analysis results show that "Alternative-01" is the best alternative with the highest Qi value (1.866), while "Alternative-02" has the lowest Qi value (1.713). The significant difference in Qi values ​​between these two alternatives indicates a clear difference in preferences. The weight (w) given to each criterion plays an important role in forming the preference value (Qi). Therefore, careful consideration needs to be taken in determining the weight of each criterion to ensure that the final decision is in line with expectations. The WASPAS method has proven to be effective in the selection system for recipients of used goods donations. The advantage of this method lies in its ability to handle multi-criteria problems and uncertain data. By applying the WASPAS method, the decision-making process can be carried out more quickly, accurately and objectively. Although the WASPAS method provides a strong basis for decision making, it is also necessary to consider other relevant factors, both quantitative and qualitative. This will ensure that the final decision taken is the best decision and in accordance with the research objectives.
Optimization of Backpropagation Method with PSO to Improve Prediction of Land Area and Rice Productivity
Authors: Zer P.P.P.A.N.W.Fikrul Ilmi R.H. , Tambunan Fazli Nugraha
Published: November 2024

This research aims to optimize the Backpropagation method using Particle Swarm Optimization (PSO) optimization to improve the accuracy of prediction of harvest area and rice productivity. The results show that the best architecture for prediction of harvest area is 3-15-1, with a Mean Squared Error (MSE) value of 0.0049980 for standard Backpropagation, and 0.00092376 after being optimized with PSO. Meanwhile, for rice productivity prediction, the best architecture is also 3-15-1, with an MSE value of 0.0049998 for standard Backpropagation, and 0.000435762 after using PSO. PSO optimization significantly reduces the MSE value, which indicates that this method is more accurate than standard Backpropagation. Predictions from 2024 to 2026 show more consistent results with some provinces experiencing an increase or decrease in harvested area and rice productivity that is different from the standard Backpropagation method. Based on the prediction accuracy that reaches 100% and the lower MSE value, it can be concluded that Backpropagation with PSO optimization is a superior method. The results of this study are useful for government, farmers, researchers, and policy makers in more effective agricultural planning and better risk management
Implementation of the Agglomerative Hierarchical Clustering Method in Ordering Hijab Products
Authors: Ardyanti Tiwy , Furqan Mhd.
Published: November 2024

The ever-evolving internet technology has an impact on various sectors, including the hijab business, where the demand for hijab products is increasing through online transactions. This research was conducted at the Kinan Hijab Store in Kota Pinang, North Sumatra, with the aim of optimizing the management of hijab product stock. The problem faced is the imbalance in the stock of hijab products, where some hijab products have excess stock that are less in demand while popular hijab products often experience a shortage of stock. To solve this problem, the Agglomerative Hierarchical Clustering method is used to group hijab products based on sales data, product type, and price. This study uses hijab sales data from May to July 2024. After the clustering process, hijab products are grouped into two categories: "Popular" and "Less Desirable". The "Popular" category includes 190 products, while the "Less Desirable" category includes 983 products. Product stock in the "Popular" category will be increased by 50% of the average sales, while stock in the "Less Desirable" category will be reduced by 25%. the effectiveness of the Agglomerative Hierarchical Clustering (AHC) method in stock planning and management by showing that it improved the inventory allocation based on customer demand patterns. The clustering method categorized hijabs into two main groups: "Popular" and "Less Preferred", based on key sales metrics such as quantity sold, price, and total sales. The implementation of the stock plan is carried out based on the sales pattern of each hijab category. Overall, the application of this method not only helps stores in understanding customer purchasing patterns but also optimizes product availability, which can ultimately increase customer satisfaction.
Forward Selection as a Feature Selection Method in the SVM Kernel for Student Graduation Data
Authors: Nurdin Hafis , Carolina Irmawati , Andharsaputri Resti Lia , Wuryanto Anus , Ridwansyah Ridwansyah
Published: November 2024

In the era of information technology development, accurate graduation predictions are important to improve the quality of higher education in Indonesia. This research evaluates the effectiveness of Support Vector Machine (SVM) with various kernels, including Radial Basis Function (RBF), linear, and polynomial, as well as the application of FS as an optimization method. The dataset used consists of student graduation data which includes nine independent attributes and one label. This research aims to increase the accuracy of student graduation predictions using the SVM method which is optimized through Forward Selection (FS). The SVM method is applied using 10-fold cross validation to predict on-time graduation. The results show that the combination of SVM and FS improves prediction accuracy significantly. The SVM model with an RBF kernel optimized with FS achieved the highest accuracy of 87.06% and recall of 53.68%, showing increased sensitivity in identifying student graduation cases compared to SVM without FS. Although there is a trade-off between precision and recall, the model optimized with FS shows better performance overall. This research contributes to the development of a more efficient graduation prediction method, which can help universities in planning strategies to improve academic quality. Further studies are recommended to overcome weaknesses in the recall value by using other optimization methods or combinations of other optimization algorithms
E-Homestay Application Based on Decision Support System for Optimizing Tourism
Authors: Febriansyah Febriansyah , Muntari Siti
Published: November 2024

Pagar Alam City, a growing tourist destination, has seen a steady increase in visitors each year, driving greater demand for accommodations, especially homestays. Homestays are often favored by tourists due to their affordability compared to hotels. However, many tourists face challenges in selecting a suitable homestay that meets their preferences and needs. To address this issue, this study proposes the development of a web-based Decision Support System (DSS) integrated into the e-homestay platform. The system utilizes the Simple Additive Weighting (SAW) method, chosen for its capability to assess multiple alternatives based on specific weighted criteria, including price, facilities, location, distance, and guest ratings. This approach is designed to assist tourists in identifying the optimal homestay that aligns with their preferences and budget, thereby enhancing their overall travel experience in Pagar Alam City. Moreover, the platform has the potential to promote local economic growth by supporting digital marketing of homestays, while also contributing to sustainable tourism development and management.
Feminist Multimodal Analysis of the Dancing Scenes of Barbie 2023: Recontextualization as the 1960s and Female Self-Directed Individualism
Authors: Lau Hok Yin
Published: November 2024

This paper conducts a feminist multimodal analysis of the dancing scene of Barbie, a movie released in 2023, within the framework of Critical Discourse Analysis, to explore effective feminist discourses recontextualized as in the 1960s with Barbie introduced to the world alongside second-wave feminism (SWF) as a critical context contributing to feminist discourses. This paper examines the audio aspect, the song Dance the Night, and the visuals i.e., relations between characters and viewers, and interaction among characters in dancing. With van Leeuwen’s Visual Representation of Social Actors, this paper leverages grounded theory to initiate inductive content coding for the multimodality. The findings are multifold. Visually, viewing Barbies with more close shots from the frontal angles at the eye level from signifies equality, focus and empowerment in self-directedness. Interaction among characters incorporates inclusiveness by Barbies’ diversity in races, body figures and conditions, etc., and their internal exclusive dancing with their own autonomous agency exercised. Kens mostly function as facilitators of Barbies’ centralization and uniqueness symbolizing SWF’s universal womanhood. The 1960s witnessed females’ anxiety against traditional norms. In the audio aspect, therefore, the lyrical discourse reinforces female independence by emphasizing “dancing the anxiety away” and “taking risks to be her own self”.
Generative AI: Student Perception on ChatGPT Prompt Feedback in Post-Secondary Online Education
Authors: Anthony Janet , Fisch-Ferguson Jennifer
Published: November 2024

This study investigates the role of AI, particularly Chatbot feedback, in student performance and writing. Using constructivist learning theory, it examines both the benefits and challenges of AI in online coursework. Data from student experiences reveal generally positive attitudes toward AI but raise concerns about generic feedback hindering critical thinking. Key implications include the importance of integrating AI thoughtfully into pedagogy, providing professional development for educators, and designing curricula that balance AI use with fostering independent thinking. These insights are crucial for educators and policymakers considering AI's role in education.
Chemical Composition of Ripen Fruits of Solanum kieseritzkii C. A. Mey., Distributed in Azerbaijan
Authors: Novruzov E. , Gusieva A. , Imanli H.
Published: November 2024

The article presents the results of the study of the chemical composition of ripe fruits of Solanum kieseritzkii C. A. Mey. growing in Azerbaijan. As a result of the research, the content of dry substances (18.4-21.3%), total sugars (3.8-4.5%), organic acids (0.91-1.19%), pectin substances (0.61-0.78%), fatty oil (2.8-3.6%), ascorbic acid (312.1 mg%), carotenoids (38.7-43.6 mg%), flavonoids (504.3-596.3 mg%), catechins (202-212 mg%) were determined. Using the paper chromatography method, the fruits of Solanum kieseritzkiiwere found to contain glucose, fructose, sucrose, citric, succinic and malic acids, α-, β-, γ-carotenes, zeaxanthin, xanthin, lycopene, ritin, quercetin, catechin and epicatechin. From the dry pulp after obtaining the juice, 23% of fatty oil was isolated, containing 217 mg/100 g of carotenoids and 185 mg/100 g of tocopherols. The results of the study allow us to recommend fatty oil from the waste of fruits of Solanum kieseritzkiifor obtaining functional products.
Numerical Study of Complex Heat Transfer and Aerodynamics in a Tube Furnace with a Flat Fuel Combustion Mode
Authors: Abdullin A.
Published: November 2024

The object of the study is a tubular furnace for steam reforming of natural gas. The channel walls are formed by a refractory lining and a tubular screen with a known temperature. The chamber volume is filled with a selectively radiating, absorbing and weakly scattering medium of gaseous fuel combustion products. The research method is based on the numerical solution of a system of two-dimensional integro-differential equations of radiative gas dynamics, closed by a two-parameter model of turbulent convection. It is shown that when burners are located on the side walls of the radiation chamber, a significant restructuring of the heat flux distribution occurs. A decrease in the chamber width is accompanied by an increase in both radiant and convective heat fluxes to the tubular screen.
Critical Indicators of Oxidative Stability of Confectionery Products
Authors: Guseva T. , Soldatova S.
Published: November 2024

The article presents the results of accelerated tests of pastry biscuits with a mass fraction of fat of 17%, stored at two temperatures: +40°C and +50 °C, with a monthly assessment of indicators. The aim of the experiment was to establish critical organoleptic and physico-chemical parameters that allow an objective assessment of the processes of oxidative spoilage in confectionery products. Along with the standard indicators established by GOST R 70412 (1), the acid number and organoleptic characteristics were additionally determined according to the developed methodology using a point scale.
Prevalence of Autoimmune Thyroiditis Among Children with Type 1 Diabetes
Authors: Dzhunushalieva N. , Sulaimanov Sh. , Uvaidillaeva F.
Published: November 2024

A single-stage cross-sectional study was conducted on the basis of the National Center for Maternal Health in the Kyrgyz Republic, children aged 0 to 18 years were examined. To study the prevalence of autoimmune thyroid disease with type 1 diabetes mellitus to improve the compensation of carbohydrate metabolism in children and adolescents with type 1 diabetes. Autoimmune thyroiditis often accompanies and interferes with type 1 diabetes mellitus in children and adolescents. Thyroid dysfunction in children with type 1 diabetes mellitus can negatively affect various areas of metabolic control. This study included 60 children with type 1 diabetes mellitus and autoimmune thyroiditis, 24 of them girls (40.0%), 36 boys (60%). The average value of ±SD for their age at the time of examination was 11.6±4.1 years, ranging from 1 to 17 years. Of the children with type 1 diabetes mellitus who tested positive for antibodies to thyroid peroxidase, 30 children (50%) had obvious hypothyroidism. Of the thirty children with normal TSH levels, 4 children (13.3%) showed signs of subclinical hypothyroidism, while 26 children (86.7%) had euthyroidism.
Stratification of Hand Bone Fractures in the Kyrgyz Republic
Authors: Tukeshov S.
Published: November 2024

The study aimed to stratify hand bone fractures in the Kyrgyz Republic based on patient data, including age, gender, and other clinical characteristics. Data from patients treated in 2019 were analyzed, with assessments made using key medical parameters such as fracture type, age, gender, blood group, and other laboratory indicators. A retrospective analysis of 200 hand fracture cases was conducted, classified by various clinical and demographic criteria. Conclusions were drawn based on statistical analysis of the data. Results: Significant differences in fracture incidence were observed between males and females, as well as across different age groups. The highest incidence was found in the working-age population, indicating a need for enhanced preventive measures in this demographic.
Cultural and Economic Aspects of “Pharmacy” Drug Addiction: The Influence of Availability of Medicines and Social Norms in Modern Society
Authors: Akmatova A.
Published: November 2024

The article is devoted to the study of factors contributing to the development of pharmacy drug addiction, with an emphasis on the availability of drugs and their perception in society. The work examines cultural changes associated with the popularization of prescription drug use, and economic factors, such as pharmaceutical companies' policies and marketing strategies, that influence the increased availability of these drugs. The author analyzes how social norms and popular culture contribute to the normalization of drug abuse, especially among young people. Particular attention is paid to the role of pharmacies, doctors and government regulation in creating conditions for the development of pharmacy drug addiction. The conclusion emphasizes the need for a comprehensive approach to combat this problem, including both tightening control over the distribution of drugs and changing public perceptions of the safe use of pharmaceuticals.
Information Training and Media Education: a Method of Solving Students' Educational and Cognitive Problems in an Integrated Information Environment
Authors: Dzhetybaeva Zh. , Ibragimova A. , Sharshenalieva T. , Yugay D.
Published: November 2024

Discusses the method of solving students' educational and cognitive problems in an integrated information environment. The purpose of the study is to determine effective forms and methods of information training and media education to ensure universal access to education throughout life. The source of the study was the works of scientists who consider issues of media education and information training as an important component of the educational and cognitive tasks of students in the context of an integrated information environment. A set of pedagogical research methods, both theoretical and practical, was used. According to experts, in the field of educational resources, the total volume of knowledge doubles every year, while the degree of satisfaction of the information needs of users in the absence of an appropriate level of skill in working with information does not improve. Computer science is today defined as one of the fundamental areas of scientific knowledge that forms a system-information approach to the analysis of the surrounding world, the study of information processes, methods and means of obtaining, transforming, transmitting, storing and using information, a rapidly developing and constantly expanding area of human practical activity associated with the use of educational resources. In this regard, media education and information training of students are considered as an important part of the professional and educational skills and abilities of students in the context of an integrated information environment. The results of the study can serve as a basis for solving educational and cognitive problems of continuous education, since today no serious economic, social, technical problem can be successfully solved without processing significant amounts of information.
Integration of Artificial Intelligence into Educational Programs to Develop Scientific Analysis Skills in a Multidisciplinary Environment
Authors: Baisova G.
Published: November 2024

Examines the integration of artificial intelligence (AI) into educational programs aimed at developing scientific analysis skills in an interdisciplinary context. Various AI technologies, such as machine learning, natural language processing, and intelligent educational platforms, are explored for their potential to transform approaches to learning and enhance the effectiveness of educational processes. The results of experimental analysis are presented, demonstrating that the use of AI contributes to improving student performance and developing critical thinking skills. The article also addresses the potential risks and limitations of applying AI in educational processes.
Grammatical Features of Azerbaijani Words Taken from English
Authors: Mammadova S.
Published: November 2024

Along with the terms borrowed from English, grammatical elements and suffixes were also included, and as a morpheme could not be used independently in word creation, it acquired a new derivational feature in the composition of individual words. Since English and Azerbaijani are languages with different systems, the transfer of words from one language to another requires its adaptation to norm sources. Therefore, the borrowings that entered the lexical system of the Azerbaijani language through the English language are adapted to the historically formed literary language laws of the Azerbaijani language and were used in the Azerbaijani language in the form of the source language without undergoing any changes.
Using Visual Aids in Chemistry Lessons Important Issues of the Rules
Authors: Aliyeva K.
Published: November 2024

Visualization should be given priority in lessons for comprehensive mastery of chemistry, and theory should be applied to practice. When visual aids are used, the lesson becomes interesting and memorable. Therefore, students acquire comprehensive knowledge and skills. Also, it is the duty of all chemistry teachers to teach students all the properties of chemicals and how to properly handle them.
Punctuation and Style in Christopher Marlowe's Tamburlaine the Great and Ben Jonson's Volpone
Authors: Martin Mathew R.
Published: November 2024

Is there a discernable relationship between style and the development of punctuation in early modern English dramatic texts? This paper will focus on the comma in the early editions of Marlowe's Tamburlaine Part One (1590) and Ben Jonson's Volpone (1607). Throughout early editions of Marlowe's drama, the comma is used very flexibly and heavily. Its function ill-defined, it is rarely medial but occurs primarily at the end of lines of verse, often in complete disregard for syntax. Such comma usage facilitates a characteristically Marlovian style: extended passages of considerable beauty but imprecise sense produced by the open-ended accumulation of loosely coordinated phrases rich in vocabulary and pregnant with meaning. The most striking example is Tamburlaine's meditation on Zenocrate's beauty in 5.2.72-127 of Tamburlaine Part One. Systems of punctuation in the period, however, were tending toward more precise definitions of the functions of punctuation marks. The circumscription of the 's function and the increased use of other punctuation marks had stylistic consequences, necessitating a clearer articulation of the parts of sentences, the relations among those parts, and their coherence within a complete grammatical movement. The significance of these consequences can be seen Volpone's speech to Celia and Celia's reply in 3.7 of Volpone, a text whose printing Jonson carefully supervised. Sublime Tamburlainian fantasy gives way to the glittering, destructive, and ultimately exhausted rhetoric of itemized and commodified pleasures fit for the new realities of nascent capitalism. Moreover, Jonson's increasingly precise sense of the function of another punctuation mark, the dash, necessitates a change in Celia's character that suggests that the realm of the material object and its shallow seductiveness can be transcended only through its demystification and denial.
Yapay zekâya yönelik tutumun, kolaylığın, yenilikçiliğin ve güvenin satın alma niyeti üzerine etkisi
Authors: Korkmaz İlknur
Published: November 2024

Yapay zekâ teknolojisinde görülen ilerlemeler ve yapay zekâ destekli teknolojilerin kullanımının gittikçe artması, yapay zekâya ve yapay zekâ teknolojisine sahip ürünlere olan ilgiyi de artırabilmektedir. Yapay zekâ teknolojisine sahip ürünlerin satın alma niyetlerinde etkili olabilecek faktörler üzerinde duran bu çalışma, mevcut literatürün genişletilmesine katkı sunabilmektedir. Bu çalışma, genç tüketicilerin yapay zekâ teknolojisine sahip ürün satın alma niyetlerinde, bilgi teknolojisi alanında kişisel yenilikçiliğin, güvenme eğiliminin, yapay zekâ destekli kullanım kolaylığının ve yapay zekâya yönelik genel tutumun etkilerini tespit etmeyi amaçlamaktadır. Ayrıca, bilgi teknolojisi alanında kişisel yenilikçiliğin, güvenme eğiliminin ve yapay zekâ destekli kullanım kolaylığının yapay zekâ teknolojisine sahip ürün satın alma niyetine etkisinde, yapay zekâya yönelik genel tutumun aracılık etkisinin incelenmesi de çalışmada amaçlanmıştır. Kısmi en küçük kareler yapısal eşitlik modellemesi (PLS-SEM) ile 409 veri üzerinden çalışmanın hipotezleri test edilmiştir. Çalışmanın sonuçları, yenilikçiliği yüksek olan tüketicilerin, olumlu ve olumsuz tutuma sahip olsalar da yapay zekâ teknolojisine sahip ürün satın alma niyetlerinin bulunduğunu göstermektedir. Tüketicilerin bilgi teknolojisine olan hâkimiyeti ve yeniliği takip etmesi, yapay zekânın potansiyel risk ve tehlikelerine rağmen yapay zekâ teknolojisine sahip bir ürünü satın alma niyetlerinin olduğunu belirtmektedir. Tüketicilerin olumsuz tutumu rağmen yapay zekâ teknolojisine sahip bir ürünü satın alma niyetlerinin olması, yapay zekânın işlevsel ve yenilik özelliğinden dolayı sunduğu avantajların daha fazla olması ile ilgili olabilmektedir. İnsanlara güven duymayan ve dolayısıyla güvenme eğilimleri düşük olan tüketiciler, insan tarafından üretilen yapay zekâya da olumsuz bir tutum geliştirmektedir. Olumsuz tutum geliştiren tüketicilerin de satın alma niyetleri olumsuz yönde etkilenebilmektedir.
The Role of Artificial Intelligence in Innovation and Leadership
Authors: Farid Ola
Published: November 2024

Artificial Intelligence (AI) has emerged as a transformative force in business, influencing both innovation and leadership. As AI technologies evolve, they offer organizations opportunities to enhance operational efficiency, drive innovation, and reshape leadership practices. This research explores the critical role of AI in fostering innovation, particularly in product development, process optimization, and business model transformation. AI enables organizations to leverage data-driven decision-making, predictive analytics, and personalized customer experiences, empowering leaders to make informed choices that drive success in an increasingly competitive marketplace. The study also delves into the evolving role of leadership in the AI era. It highlights how AI equips leaders with tools for strategic planning, risk management, and workforce optimization, while also requiring them to adapt to new leadership styles focused on collaboration, ethical decision-making, and continuous learning. Furthermore, the paper addresses the challenges and opportunities of AI integration, including concerns around bias, data privacy, and workforce displacement, while emphasizing the importance of responsible AI adoption and investment in employee reskilling. The future of AI promises further advancements in autonomous systems and machine learning, offering organizations new avenues for growth. Leaders must navigate these changes with agility, embracing AI to innovate while addressing its ethical, social, and technological implications. This research underscores the significant potential of AI to drive innovation and enhance leadership, offering valuable insights for organizations seeking to stay ahead in a rapidly evolving digital landscape.