bluuebunny/crossref_metadata_2025 huggingface dataset:
Aircraft Engine Remaining Useful Life Prediction Using Machine Learning
Authors: Kimollo Michael , Liu Xudong
Published: July 2024

Knowing the Remaining Useful Life (RUL) of aircraft engines is of paramount importance in the aviation industry. RUL helps anticipate engine failures beforehand so that airlines can proactively schedule maintenance, optimize resource allocation, and reduce the risk of downtime.In this work, we consider two problems in the prediction of RUL: a binary classification problem to predict whether the engine will fail within a month, and a regression problem to predict the remaining number of operational cycles before engine failure.To this end, using the NASA C-MAPSS dataset, we trained several machine-learning models to address the aforementioned two problems. Our results show that the Long Short-Term Memory (LSTM) model performed the best on the binary classification problem with 0.95 precision, 0.88 recall, and 0.91 F1-score on the test set and that the Convolutional Neural Network (CNN) model best on the regression problem with 14.02 RMSE on the test set.The state-of-the-art paper documented an RMSE of 16.42. Our work not only surpassed the reference RMSE but also demonstrated superior predictive accuracy. Comparing these results highlights the substantial progress achieved in predicting aircraft engines' Remaining Useful Life, showcasing the effectiveness of the models developed in this study in outperforming the state-of-the-art benchmark.
Efficient Detection of Exchangeable Factors in Factor Graphs
Authors: Luttermann Malte , Machemer Johann , Gehrke Marcel
Published: July 2024

To allow for tractable probabilistic inference with respect to domain sizes, lifted probabilistic inference exploits symmetries in probabilistic graphical models. However, checking whether two factors encode equivalent semantics and hence are exchangeable is computationally expensive. In this paper, we efficiently solve the problem of detecting exchangeable factors in a factor graph. In particular, we introduce the detection of exchangeable factors (DEFT) algorithm, which allows us to drastically reduce the computational effort for checking whether two factors are exchangeable in practice. While previous approaches iterate all O(n!) permutations of a factor's argument list in the worst case (where n is the number of arguments of the factor), we prove that DEFT efficiently identifies restrictions to drastically reduce the number of permutations and validate the efficiency of DEFT in our empirical evaluation.
Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness
Authors: NDAO Mouhamadou Lamine , YOUNESS Genane , NIANG Ndèye , SAPORTA Gilbert
Published: July 2024

In predictive maintenance, the complexity of the data often requires the use of Deep Learning models. These models, called “black boxes”, have proved their worth in predicting the Remaining Useful Life (RUL) of industrial machines. However, the inherent opacity of these models requires the incorporation of post-hoc explanation methods to enhance transparency. The quality of the explanations provided is then assessed using so-called evaluation metrics. Modeling is a whole process that includes an important data preprocessing phase, with parameter selection such as time window, smoothing parameter, or rectified RUL when dealing with multivariate time series dataset. We propose to analyze the impact of these preprocessing methods on the quality of explanations provided by the local post-hoc models LIME, KernelSHAP, and L2X, utilizing six evaluation metrics: stability, consistency, congruence, selectivity, completeness, and acumen.  This analysis will be based on NASA's Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) dataset with the LSTM model.  Our findings reveal that the choice of specific pre-processing parameters can significantly improve predictive performance. Furthermore, the quality of explanations depends on the selection of explicability methods. In addition, a factorial analysis of the evaluation metrics reveals that they do not all point in the same direction.Indeed, understanding the nuanced relationships between evaluation metrics is essential for a comprehensive and accurate assessment of explainability methods.
Knowledge Distillation for a Domain-Adaptive Visual Recommender System
Authors: Abluton Alessandro , Portinale Luigi
Published: July 2024

In the last few years large-scale foundational models have shown remarkable performance in computer vision tasks. However, deploying such models in a production environment poses a significant challenge, because of their computational requirements. Furthermore, these models typically produce generic results and they often need some sort of external input. The concept of knowledge distillation provides a promising solution to this problem.In this paper, we focus on the challenges faced in the application of knowledge distillation techniques in the task of augmenting a dataset for object detection used in a commercial Visual Recommender System called VISIDEA; the goal consists in detecting items in various e-commerce websites, encompassing a wide range of custom product categories. We discuss a possible solution to problems such as label duplication, erroneous labeling and lack of robustness to prompting, by considering examples in the field of fashion apparel recommendation.
Enhancing Time-Series Prediction with Temporal Context Modeling: A Bayesian and Deep Learning Synergy
Authors: Irani Habib , Metsis Vangelis
Published: July 2024

In time-series classification, conventional deep learning methods often treat continuous signals as discrete windows, each analyzed independently without considering the contextual information from adjacent windows. This study introduces a novel, lightweight Bayesian meta-classification approach designed to enhance prediction accuracy by integrating contextual label information from neighboring windows. Alongside training a deep learning model, we construct a Conditional Probability Table (CPT) during training to capture label transitions. During inference, these CPTs are utilized to adjust the predicted class probabilities of each window, taking into account the predictions of preceding windows. Our experimental analysis, focused on Human Activity Recognition (HAR) time series datasets, demonstrates that this approach not only surpasses the baseline performance of standalone deep learning models but also outperforms contemporary state-of-the-art methods that integrate temporal context into time series prediction.
Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools
Authors: Khan Md Akib Zabed , Polyzou Agoritsa
Published: July 2024

Resource allocation in educational institutions is a very challenging task in higher education. To prepare for every new semester, academic administration faces various challenges in allocating instructors, classrooms, sessions, teaching assistants, and laboratories for different possible courses considering students' needs and the limited available resources. Predicting the number of students enrolled in a specific class in the next semester can help with this task. To address this problem, we investigate various machine learning models (direct and indirect methods) using different features of course enrollment data of past students to predict the number of enrollments in possible courses in the upcoming semester. In this work, we propose to use a course recommendation model as a first step to generate suggestions for students, and then, use those to estimate student enrollment in the courses of the next semester. We test four course recommendation models, two time series models, three regression models, and three baseline approaches for course enrollment prediction. The experimental evaluation demonstrates that our proposed approach achieves good behavior and similar or better performance compared to other competing approaches to predict student enrollment in courses.
A Scoping Review of Transparency and Explainability in AI Ethics Guidelines
Authors: Hooper Kerrie , Lunn Stephanie
Published: July 2024

Transparency and explainability are crucial tenets of ethical Artificial Intelligence (AI) and are often classified as technical components of AI Ethics. Many countries and international governing bodies have developed AI guidelines and principles that are made public for respective civilians with a diverse range of expertise and knowledge. This short paper compares how explainability and transparency are presented and discussed in AI ethics guidelines developed by the top ten countries leading in AI research and development according to the AI Global Index Report in 2023 and leading efforts from governing bodies such as the EU. Methodologically, this paper presents a thematic analysis focusing on the presence and acknowledgment of various dimensions of explainability and transparency, as well as the level of detail and examples in the guidelines. The aim is to uncover how various aspects of AI ethics are presented in global guideline documents, highlight areas in which the documents converge, and discuss implications for AI stakeholders.
Enhancing Nearest Neighbor Classification Performance through Dynamic Time Warping with Progressive Constraint
Authors: Cha Sung-Hyuk , Cha Teryn , Vuppu Teja
Published: July 2024

Dynamic time warping (DTW) is a widely used metric for comparing time series data, offering elasticity in alignment. While the original DTW allows infinite elasticity without penalty, the wDTW imposes a constant penalty regardless of elastic length. In this study, we propose DTW with a progressive penalty. Experimental evaluations across diverse time series datasets demonstrate the effectiveness of this approach, utilizing nearest neighbor classification. Optimal hyperparameters, including the number of neighbors and progressive weight factor, are jointly identified with the Minkowski p value using Gaussian Process. The proposed methodology shows promise for enhancing performance across various applications leveraging DTW.
TaxTajweez: A Large Language Model-based Chatbot for Income Tax Information In Pakistan Using Retrieval Augmented Generation (RAG)
Authors: Mohammad Affan Habib  , Shehryar Amin  , Muhammad Oqba  , Sameer Jaipal  , Muhammad Junaid Khan  , Abdul Samad
Published: July 2024

The advent of Large Language Models (LLMs) has heralded a transformative era in natural language processing across diverse fields, igniting considerable interest in domain-specific applications. However, while proprietary models have made significant strides in sectors such as medicine, education, and law through tailored data accumulations, similar advancements have yet to emerge in the Pakistani taxation domain, hindering its digital transformation.
 In this paper, we introduce TaxTajweez, a specialized Retrieval Augmented Generation (RAG) system powered by the OpenAI GPT-3.5-turbo LLM, designed specifically for income taxation. Complemented by a meticulously curated dataset tailored to the intricacies of income taxation, TaxTajweez leverages the RAG pipeline to mitigate model hallucinations, enhancing the reliability of generated responses. Through a blend of qualitative and quantitative evaluation methodologies, we rigorously assess the accuracy and usability of TaxTajweez, establishing its efficacy as an income tax advisory tool.
Using Data Synthesis to Improve Length of Stay Predictions for Patients with Rare Diagnoses
Authors: Schiff Simon , Wolfrum Sebastian , Möller Ralf , Hartwig Mattis
Published: July 2024

In healthcare, managing small patient cohorts, particularly those with rare diseases, presents a unique challenge due to the scarcity of data required for effective machine learning applications. Addressing this issue, our paper investigates if a specific conditional data synthesis prior to learning the machine learning model using the CTGAN architecture improves the result. Data synthesis refers to the artificial generation of synthetic data with certain properties from the original data. We choose the specific learning task of predicting hospital length of stay (LoS) of patients leaving the emergency department. It can, e.g., be used to predict the bed occupancy in a hospital and thus enables better planning. The accuracy of the LoS-prediction is strongly dependent on rarity of the patients disease, ranging from an acceptable accuracy, e.g., for often occurring homogeneous cases to worse accuracy for, e.g., inhomogeneous and rare ones. To increase the accuracy for such cohorts, we enrich the dataset with new, synthesized patient admissions. Then, for each cohort, a model is trained to predict the LoS of a patient of this cohort. Our experiments show that adding synthetic data is able to increase the accuracy for the majority of cohorts. Indicators for a benefit of synthetic data seem to be cohorts that have a high LoS with high variance within in cohort.
Relationship between Rational and Irrational Investment Decisions and Multiple Intelligence of Investors
Authors: Rathi K. N. , Geetha D.
Published: July 2024

This study focuses on investors' investment decision-making and examines the influence of multiple intelligences in investment decision-making, both rational and irrational. Multiple intelligences are a group of Intelligence with its entity and domain. Gardner suggests that the human being has different individual units of intellectual functioning. He labels these units as intelligence, each with identifiable and quantifiable aptitudes. The nine intelligence types differently influence an individual's behaviour and decisions. The multiple intelligence Inventory and a questionnaire on investment decision-making were used for data collection from a hundred investors. Analysis was done with the help of Pearson's correlation, multiple regression chi-square test, and correspondence analysis. Rational decision-making is intellectual, as per the review, and it is proved here that intelligence influences rational decision-making significantly while the other is not influenced. The observed results help to get new visions of investment behaviour, including a new proof of the root causes of investment decisions.
Digital Innovations in the Fiscal Policy of Ukraine: Promoting Sustainable Economic Development
Authors: Lukianykhina Olena , Suprunenko Svitlana , Slavkova Alla , Skorba Oleh , Zavrazhnyi Kostiantyn
Published: July 2024

This study critically examines the nexus between tax legislation and digital innovation in Ukraine, focusing on the alignment of fiscal policy with the digital economy's growth. It analyzes the implications of Ukraine's tax reforms, including the Law "On Stimulating the Development of the Digital Economy in Ukraine," commonly referred to as the Diia City initiative, for promoting a robust digital economy. This research evaluates the effectiveness of these reforms in fostering digital advancements and their impact on sustainable economic development. Employing a comprehensive multidisciplinary approach, it researches into the theoretical and practical aspects of tax policies, particularly those targeting the digital sector. The findings suggest Ukraine's strategic positioning for leveraging digital innovation, underpinned by legislative reforms such as amendments to the Tax Code of Ukraine that cater to the IT industry through specific tax regulations through a conducive fiscal environment.  This paper highlights the transformative potential of digital innovations and the critical need for tax legislation to evolve in tandem with technological advancements. Recommendations for ensuring the sustained success of Ukraine's digital and economic reform efforts emphasize the importance of addressing existing obstacles and perpetually refining fiscal policies.
Reciprocal Relationship between Taxpayer’s Compliance and Governance Quality
Authors: Masri Indah , Chasbiandani Tryas , Rasyid Diandra Kamila , Nur’Aini Nur’Aini
Published: July 2024

This study aims to test the existence of a reciprocal relationship between taxpayer compliance and governance quality. From the first model with governance quality as a mediating variable, it is proven that it can mediate the level of taxpayer knowledge so that it will be able to strengthen the level of taxpayer compliance further through governance quality. However, governance quality cannot be a mediating variable for tax morale. From the second model, with taxpayer compliance as the mediating variable, it is proven that it can mediate the level of taxpayer morale so that the role of taxpayer compliance further strengthens the level of governance quality. However, for tax knowledge, the role of tax compliance cannot be a mediating variable.
Carbon Accounting: Its Implications on Accounting Practices and Corporate Sustainability Reports
Authors: Syam Muh. Ardiansyah , Djaddang Syahril , Adam Adam , Merawati Endang Etty , Roziq Mohammad
Published: July 2024

Carbon Accounting is a new accounting paradigm on ecological-based economic transactions. It is also known as carbon cost management. The issues regarding carbon cost management will have implications for other strategic issues related to management accounting. The concept and application of Carbon Accounting will also have broad implications for the professions and strategic issues of carbon management accounting. This study focuses on the implication of carbon accounting on accounting practices and corporate sustainability reports. The literature reviews and qualitative analyses were conducted to grab the philosophy, practice and implication of implementation of carbon accounting – carbon cost management. Based on the study, carbon accounting implementation implied to accounting practices and corporate sustainability report. In term of calculating carbon emission or greenhouse gasses, there were four methods as set by Inter-governmental Panel for Climate Change (IPCC) and European Renewable Energy. In term of Corporate Sustainability Report, there were three theories considered: Instrumental Theories, Social & Political Theories and Normative Theories. It is difficult to account for emission allowances, and revealed that there is a potential guidance role for auditors during the absence of an international accounting standard. With the emission allowance assets, there is diversity in the accounting treatment of liabilities, and a considerable level of non-disclosure. In practice, this means that the only liability recognition in the financial statements is for shortfalls in allowances.
Human Resource Management Factors in Financial Analysis of Securities Companies
Authors: Thi Mo Nguyen , Minh Tien Cao , Lan Anh Tran Thi , Van Hai Tran
Published: July 2024

The outcomes of financial analysis serve as the basis for crucial decision-making in business operations. However, many small-scale securities companies tend to overlook this aspect. This study aims to investigate the relationship between financial analysis activities and business outcomes of small-scale securities companies in Vietnam. Data were collected from 92 respondents working in 27 small-scale securities companies (with owner equity of less than 250 billion Vietnamese Dong), holding positions such as management (directors, assistant directors, financial directors, chief accountants) and staff (financial and accounting personnel) involved in financial and accounting operations of Vietnamese securities companies. Sampling was conducted selectively from September 2023 to December 2023. Utilizing quantitative research, the Partial Least Squares Structural Equation Modeling (PLS-SEM) method was employed using SPSS 20 and AMOS 20 software. Results indicate that Financial Analysis Method (MAF) and Financial Analysis Content (variable FAC) positively influence financial analysis activities of small securities companies. Recommendations to enhance securities companies' business outcomes include (i) employing the EVA technique in financial analysis, (ii) improving management capabilities in financial report analysis, (iii) enhancing the skills of accounting and financial staff, and (iv) applying and operating professional ethical principles.
Beyond Intuition: The Role of Financial Knowledge in Navigating Investments in Emerging Markets
Authors: Chowdhury Nazreen Tabassum , Mahdzan Nurul Shahnaz , Rahman Mahfuzur
Published: July 2024

Over the last century, global stock markets have crashed multiple times, leading to bankruptcy and unemployment and making individuals highly cautious about investing. Hence, individual investors in developing markets are highly prone to behavioural biases in their investment decisions, which influence their investment experience. The objective of this study is to examine the relationships between behavioural factors and investment experience, as well as the moderating effect of financial knowledge on individual investors in Bangladesh. Data was analysed using the partial least squares structural equation modelling (PLS-SEM) technique. The results revealed that behavioural factors such as anchoring, gambler’s fallacy, social interaction, and locus of control significantly influenced individual investors’ investment experiences. Moreover, financial knowledge had a moderating effect on these relationships. The study has important implications for investors, as it highlights the potential pitfalls of behavioural factors and the importance of financial knowledge in investors’ investment experience. The study’s findings imply that the government should develop new market opportunities through innovative products and take the necessary steps to incorporate regulations that will offer investors a better market experience.
I-FinTech Adoption Mediation on the Financial Literacy Elements and Sustainable Entrepreneurship among Bumiputera MSMEs in Malaysia
Authors: Basar Suria Abu , Ibrahim Noor Ayuernie , Tamsir Fazilah , Rahman Asma Rina Abdul , Zain Noor Nasyikin Mohd , Poniran Halimi , Ismail Rina Fadhilah
Published: July 2024

The term “i-FinTech” refers to businesses or entrepreneurs that integrate modern, Shariah-compliant technologies with financial services. Nevertheless, MSMEs are typically having lack internal knowledge or poor management, incompetent entrepreneurs, and limited financial resources. The purpose of this research is to analyse if financial literacy elements affect i-FinTech adoption and, in turn, promote sustainable entrepreneurship among Bumiputera SMEs in Selangor, Malaysia. A convenience sample strategy was used to disseminate 1,394 surveys to the Bumiputera entrepreneurs, utilizing a quantitative approach. PLS-SEM and mediation analysis are used to analyse the data. The findings indicate that financial literacy and digital financial literacy have a favorable and significant impact on the adoption of i-Fintech. On the other hand, the adoption of i-Fintech is adversely affected by financial management behavior. Furthermore, this study shows that the relationship between financial literacy and digital financial literacy towards sustainable entrepreneurship is mediated in a complimentary way by the adoption of i-FinTech. This result indicates that Bumiputera business owners that are financially and digitally literate are more likely to use i-FinTech and ultimately make a substantial contribution to sustainable entrepreneurship. The results should improve knowledge of the dynamics between the potential of i-FinTech and sustainable entrepreneurship for researchers, regulators, entrepreneurs, and i-FinTech service providers. It is advised that MSMEs keep using i-FinTech to support their operations in order to minimise the effects of a downturn in the market and maintain seamless operations.
Assuring the Sustainability and Growth of Small and Medium-Sized Manufacturing Enterprises in Botswana: An Exploratory Study
Authors: Munodawafa Tadios , Naude Micheline , Govender Krishna K.
Published: July 2024

This paper explored the factors that impact the sustainability and growth of small and medium-sized manufacturing enterprises in Botswana. A self-administered structured questionnaire was used to survey 348 owners/managers of small and medium-sized manufacturing enterprises (SMEs) in the South Eastern District of Botswana. Descriptive and inferential statistics were generated from the gathered data using the Statistical Package for Social Sciences (IBM SPSS Version 27.0). findings revealed that entrepreneurial factors, firm-specific factors and exogenous factors impacted the growth and sustainability of manufacturing firms in Botswana. In addition, government policies and guidelines, innovation and creativity, human capital development, access to finance, financial management skills and managerial skills were also confirmed as significantly contributing to the growth and sustainability of manufacturing small and medium-sized enterprises in Botswana. Key recommendations derived from these findings include the need for policymakers in the government of Botswana and private sector partners to upskill owners/managers of manufacturing enterprises on business planning, financial management, financial literacy, quality management, and market research skills. Furthermore, efforts should be accelerated to promote products manufactured in Botswana to regional and global markets.
PENERAPAN MATEMATIKA EKONOMI MELALUI KEGIATAN PROJEK PENGUATAN PROFIL PELAJAR PANCASILA
Authors: Oktasari Putri Prihastini , Febriana Rina , Anggreini Sarumaha Yenny , Marice Inda Yohana , Yunita Sari Tri , Nur Azizah Qoirina , Meliana Isti Desfanti
Published: July 2024

Kegiatan pengabdian ini bertujuan untuk memberikan pendampingan terhadap Projek Penguatan Profil Pelajar Pancasila (P5) di SMP Bina Jaya Banguntapan, Yogyakarta. Tema yang diangkat dalam kegiatan ini adalah gaya hidup berkelanjutan yang dikaitkan dengan matematika ekonomi dengan memanfaatkan barang bekas. Beberapa masalah yang melatarbelakangi kegiatan pengabdian ini di antaranya adalah kurangnya kesiapan sekolah dalam mengelola kegiatan P5, pemahaman yang belum memadai dari sumber daya guru terkait kurikulum merdeka, dan keterbatasan anggaran sekolah. Untuk mengatasi masalah tersebut, dilakukan kegiatan pengabdian masyarakat dengan melibatkan guru dan siswa dengan tema gaya hidup berkelanjutan, yang menggunakan barang bekas sebagai medianya.
Langkah-langkah kegiatan dilakukan dengan metode Penelitian Tindakan Kelas (PTK) yang terdiri dari tiga tahap: perencanaan tindakan, observasi dan evaluasi, serta refleksi. Setelah melakukan kegiatan, diperoleh hasil bahwa pemahaman tentang manajemen sekolah meningkat, pemahaman guru dan siswa terhadap kurikulum merdeka belajar yang mengedepankan P5 semakin mendalam, serta pengintegrasian konsep matematika ekonomi dalam projek kreatif menjadi lebih bervariasi, seperti pembuatan prakarya vas tanaman dari barang bekas, pupuk organik, dan penanaman lidah buaya (Aloe vera) dan bunga telang (Clitoria ternatea). Hasilnya menunjukkan bahwa terdapat peningkatan pemahaman konsep matematika ekonomi dan keterampilan siswa dalam konteks gaya hidup berkelanjutan. Pendampingan P5 dengan pendekatan matematika ekonomi dapat memperkuat karakter siswa, mendukung kurikulum merdeka belajar, dan memberikan wawasan praktis tentang aspek ekonomi yang relevan dengan kehidupan sehari-hari.
Kata kunci: Matematika Ekonomi, Merdeka Belajar, Projek Penguatan Profil Pelajar Pancasila, Tema Gaya Hidup Berkelanjutan
PELATIHAN PEMBUATAN HANDSANITIZER BERSAMA POSYANDU REMAJA DESA GEDANGAN KABUPATEN SUKOHARJO
Authors: Hutapea Henny Parida , Ambarwati Septiana
Published: July 2024

Cairan Antiseptik atau saat sekarang ini sering disebut dengan handsanitizer merupakan  produk antiseptik tangan yang penggunaannya sangat mudah dan praktis. Produk ini mulai populer dan sering digunakan oleh masyarakat semenjak  pandemi Covid 19 untuk membunuh bakteri tanpa menggunakan air, penggunaanya bisa dipergunakan saat kapanpun dan dimanapun, contoh setelah menyentuh barang, sebelum makan, selepas dari kamar kecil, setelah belanja, setelah membuang sampah. Kegiatan pemberdayaan masyarakat dalam pelatihan pembuatan handsanitizer ini dilaksanakan di Balai Desa Gedangan. Tujuan dari kegiatan pengabdian kepada masyarakat dari Prodi Kimia Industri Polsapa Surakarta ini adalah untuk menyampaikan informasi pengetahuan dan memberikan keterampilan kepada anggota Posyandu Remaja yang berada di sekitar Desa Gedangan dalam membuat handsanitizer yang aman digunakan. Kegiatan ini diikuti sebanyak 43 orang peserta menggunakan metode ceramah terkait materi pembuatan hand sanitizer dan praktik pembuatan secara langsung oleh tim pelaksana kegiatan. Berikutnya, kegiatan praktik workshop bagi peserta yang terbagi menjadi 3 kelompok. Hasil kegiatan pengabdian masyarakat ini dapat diambil kesimpulan bahwa pemahaman dan keterampilan Posyandu Remaja Desa Gedangan Gorogol Sukoharjo terkait dengan materi dan praktik pembuatan hand sanitizer mengalami peningkatan. Hal ini ditunjukkan oleh kemampuan merespon pertanyaan dari tim pelaksana kegiatan selama berlangsungnya kegiatan dari awal sampai akhir kegiatan dan dapat membuat sendiri handsanitizer.
Meningkatkan Kesadaran Pemuda/I HKBP Rogate Medan Tentang Penyalahgunaan Media Sosial Sebagai Modus Human Trafficking
Authors: Hia Niscaya , Sarah Eva Margareth , Marpaung Rolando , Laia Exmin Jaya , Marbun Atiek S.
Published: July 2024

Banyaknya pemudai/i  yang tidak menyadari modus human trafficking tersebut sehingga banyak yang menjadi korban terutama melalui media sosial. Pemuda/i generasi sekarang sangatlah berbeda dengan generasi terdahulunya dari segi pergaulan atau bersosialisasi, cara berpikir, dan cara menyelesaikan masalah. Para kalangan remaja banyak juga yang menyalahgunakan media sosial seperti penyebaran berita hoax, pencemaran nama baik dan kejahatan lainnya. kegiatan penyuluhan ini merupakan salah satu cara agar membangun kesadaran hukum kepada pemuda/i dengan memberikan informasi agar bijak dalam menggunakan media sosial dan dapat terhindar dari praktik human trafficking dimana mereka kelak akan menjadi generasi penerus dimasa mendatang. Metode yang digunakan dalam pelaksanaan kegiatan penyuluhan ini disesuaikan dengan permasalahan mitra dan solusi yang diberikan dari kegiatan penyuluhan. Metode pendekatan berkaitan dengan memberikan pemahaman pada peserta PbM-KT terhadap ancaman dan pencegahan tindakan perdagangan orang. Hasil yang diperoleh melalui kegiatan penyuluhan ini adalah pemuda/I di lingkungan Gereja HKBP Rogate Medan memahami mengenai bahayanya praktik human trafficking, memahami UU yang terkait dengan human trafficking dan bagaimana seharusnya bijak dalam bermedia sosial sehingga terhindar dari praktik human trafficking.
Relationship between Health Literacy Level and Contraceptive Method Preferences: Intrauterine Device vs. Elective Curettage
Authors: Rahımlı Ocakoglu Sakine , Atak Zeliha , Ocakoğlu Gökhan , Demirci Hakan
Published: July 2024

Providing reproductive health services is essential to a healthcare system. Reproductive health is an important component of the World Health Organization, indicating that women and men have the right to information and access to safe and effective contraceptive methods. Unfortunately, not all individuals are aware of the reliable contraceptive methods currently available today; this is the main factor leading to unwanted pregnancy, which is terminated with Elective Curettage. The present study aims to compare the Health Literacy (HL) levels of patients who use intrauterine devices (IUD) for contraception with those who underwent Elective Curettage (E&C) to terminate unwanted pregnancies. This cross-sectional study was conducted with 467 participants who applied to the Family Planning Department to terminate unintended pregnancy with E&C (n=59) and those who used an IUD for contraception (n=408). The study shows no differences between the groups according to the HL level determined for the overall HL scale. However, the "Health Promotion" subscale's median score was higher in the E&C group (p=0.002). The logistic regression analysis showed that the tendency of unemployed women to prefer E&C was 11.15 times more than that of employed women. Moreover, those with a history of curettage were 4.95 times more likely to prefer the E&C method. In conclusion, "Health Promotion" is related to the ability to evaluate the health warnings of the environment. It can be interpreted that the environment influences women's E&C preferences. The frequent occurrence of E&C in unemployed women must also be examined in a sociocultural context.
Strategi dan Implementasi Public Relations di Perusahaan Rintisan Digital Indonesia (Studi Kasus di PT Nasco International)
Authors: Azalia Sherenika , Purba Arief Marizki
Published: July 2024

Penelitian ini berjudul Strategi dan Implementasi Public Relations dalam Startup Digital Indonesia (Studi Kasus pada PT Nasco International). Penelitian ini bertujuan untuk meneliti dan mengkaji apa saja strategi dan bagaimana implementasi public relations yang diterapkan PT Nasco International. Data yang telah terkumpul akan dianalisis menggunakan teknik reduksi data, penyajian data, dan penarikan kesimpulan. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus yaitu mengkaji sebuah program (public relations), kejadian, aktivitas, proses atau individu, atau kelompok dengan lebih mendalam. Metode pengumpulan data yang digunakan dalam penelitian ini adalah dikumpulkan langsung dari wawancara mendalam dan observasi non-partisipan. Hasil penelitian ini menunjukkan strategi public relations yang diterapkan PT Nasco International. Dari ketujuh strategi bauran PENCILS, ditemukan bahwa strategi public relations di PT Nasco International diimplementasikan dalam cakupan internal dan eksternal perusahaan. Hasil penelitian ini juga menunjukkan bahwa perusahaan didukung oleh beberapa faktor dalam mengimplementasikan strateginya yaitu penggunaan media sosial dan internet serta proses komunikasi yang terbuka di perusahaan dan terdapat beberapa faktor penghambat seperti kurangnya budget dalam membuat konten, kecakapan staf PR, dan kuantitas dari staf PR.
ВЗАЄМОЗВ’ЯЗОК ВИКОНАВСЬКОЇ ІНТЕРПРЕТАЦІЇ ТА ОРФОЕПІЇ У ВОКАЛЬНІЙ МУЗИЦІ КЛОДА ДЕБЮССІ (НА ПРИКЛАДІ РОМАНСУ «МІСЯЧНЕ СЯЙВО»)
Authors: Туліс Валерія Юріївна , Стахевич Олександр Григорович
Published: July 2024

У статті розглядається вокальна мініатюра К. Дебюссі «Місячне сяйво» (Clair de lune) з погляду взаємозв’язку виконавської інтерпретації та орфоепії. Цей романс на вірші Поля Верлена – один із знакових творів Дебюссі, інспірованих образами місяця та місячного сяйва, що завжди пов’язувались із символічним змістом і слугували для композитора невичерпним джерелом натхнення. Дебюссі надавав їм унікального звучання, віддзеркалюючи в музиці їхню багатоаспектність і загадковість. Інтерпретація вокальних творів із поетичним текстом французькою мовою потребує досягнення виваженого балансу між розумінням поетичного тексту, відтворенням авторського задуму й індивідуальною творчою манерою виконавця. Цей процес потребує глибокого розуміння і поетичного, і музичного тексту. Потрібно ретельно аналізувати структуру тексту, розуміти всі його смислові відтінки, емоційний зміст. Важливо знайти відповідні музичні засоби, щоб передати поетичну красу й емоційну сутність тексту: темп, динаміка, фразування, артикуляція та смислові акценти, які допоможуть відтворити сутність поетичного тексту засобами музичної виразності. Здійснений порівняльний аналіз виконавських інтерпретацій романсу К. Дебюссі виявив різний результат втілення композиторського задуму. Французька співачка Наталі Дессей і кореянка Анна Зон вражають високим професіоналізмом, здатністю передати сенс та емоційну глибину твору. Безумовно, національна приналежність співачок – вихованок різних вокальних шкіл – відбивається в манері виконання. Глибоке й всеосяжне розуміння стилю К. Дебюссі, безперечно, демонструє Наталі Дессей, і одну з визначальних позицій займає в цьому природне звучання її французької, що бездоганно передає «музику слова» П. Верлена і характерну для Дебюссі легкість і прозорість звучання. Анна Зон, для якої французька – це іноземна мова, підсвідомо контролює процес вимовляння тексту, деталі вокальної орфоепії. Прагнучи все «виспівати», вона старанно вокалізує кожну ноту, і звучання виходить більш «ґрунтовним», подекуди ваговитим.
ТРАДИЦІЙНЕ ТА ЄВРОПЕЙСЬКЕ В КОНТЕКСТІ РОЗВИТКУ ВИКОНАВСТВА НА ДУХОВИХ ІНСТРУМЕНТАХ (НА ПРИКЛАДІ ФЛЕЙТОВОЇ КИТАЙСЬКОЇ ШКОЛИ)
Authors: Устименко-Косоріч Олена Анатоліївна
Published: July 2024

Стаття присвячена аналізу розвитку академічної флейти, яка стрімко отримала статус поширеного та популярного в Китайській Народній Республіці інструмента. Зазначено, що флейтове мистецтво характеризується високим виконавським рівнем, великою художньою творчістю й ефективною системою навчання гри на інструменті. Доведено, що характерною рисою навчальної системи є суто активна виконавська практика викладачів гри на флейті. Для них характерна неодноразова участь у національних і міжнародних конкурсах, інтенсивна робота в оркестрах і групах камерних інструментів, постійна сольна й оркестрова діяльність, дуже різноманітна репертуарна програма й інтенсивна концертна діяльність у Польщі та за кордоном. Поширення флейтового музикування знайшло відображення у творчості китайських композиторів, перекладах, обробках китайських пісень та в інструментальних творах, що зумовлено відсутністю вітчизняного репертуару на окремому етапі розвитку. Творчість китайських композиторів-флейтистів демонструє сучасні композиторські прийоми в оригінальній формі взаємодії з національними тональними, ритмічними та фактурними системами. Різноманітність пам’яток флейтової педагогіки в сучасному Китаї зумовлена впливом видатних митців із різних країн Європи та Сполучених Штатів Америки, широким проведенням концертних турів, майстер-класів і навчальних курсів протягом усієї історії до сьогодення. Теоретична цінність роботи полягає у представленні комплексної картини існування європейської академічної флейти в Китаї та логіки її розвитку. Концепція взаємодії у флейтовій музиці національного та європейського стилів є важливою для подальшого розроблення проблеми стильового плюралізму у східних художніх культурах. Принципи, що характеризують зародження та розвиток флейтового мистецтва в різних напрямах музичної культури Китаю, можуть бути використані для створення теоретичної моделі вивчення побуту європейських інструментів у позаєвропейських країнах. Ще одним порівняльним дослідженням цієї позиції в характеристиках педагогічного статусу в різних країнах Сходу та Заходу може слугувати аналіз активного акторського життя китайських викладачів гри на флейті різних поколінь у національних вимірах і за кордоном. Детальний розгляд змісту та рівня активності концертного життя, майстер-класів відомих іноземних виконавців є перспективним під час вивчення педагогічних орієнтирів неєвропейських країн.
ТЕАТРАЛЬНІСТЬ В ОБРЯДОВИХ ДІЙСТВАХ СУЧАСНОСТІ: АСПЕКТИ АНСАМБЛЕВОГО ВИКОНАВСТВА
Authors: Кириленко Яна Олексіївна
Published: July 2024

У статті висвітлено роль театральності в сучасних обрядових практиках, зокрема в контексті ансамблевого виконавства. Актуальність дослідження пов’язана з необхідністю осмислення впливу театральних прийомів на збереження та відновлення традиційних обрядів, їх адаптацію до сучасних умов. Зауважено, що ознаки театральності у традиційних обрядових дійствах розвиваються й осучаснюються в нових перформативних формах. З’ясовано, що взаємодія театру, музики, танцю, вокалу й інших виконавських мистецтв створює збагачену сучасною театральністю виконавсько-режисерську атмосферу національного обряду, який здатен виховувати повагу до традицій, об’єднувати людей, розвивати естетичний смак. У роботі запропоновано порівняльну таблицю складників театральності обрядового дійства в контексті традиційного українського обряду та його сучасної інтерпретації, проаналізовано особливі умови, що сприяють трансформації, яка відбувається в театральності обрядових практик сьогодення. Визначено, що поєднані традиційні обрядові елементи із сучасними театральними прийомами відкривають широкі можливості для інноваційних і креативних підходів, підвищують естетичне враження від театрально-обрядової вистави. Охарактеризовано вагомість вокально-акторського ансамблевого виконавства, ключова роль якого полягає у створенні специфічної атмосфери обрядового дійства, поглибленні сприйняття обряду як спільної дії, підсиленні відчуття колективної ідентичності. Висвітлено ключові функції керівника виконавсько-ансамблевого колективу у формуванні театральності обряду-вистави, режисурі сценічної та музичної частин обрядового дійства, виборі та розробленні образів виконавців, досягненні художньої виразності та драматургії театралізованого народнообрядового проєкту, окреслено його роль у комунікаційній, дослідницькій, менеджерській і науковій діяльності.
Assessment of the antibacterial activity of macroalgae Cladophora crispata extract against extended spectrum beta-lactamase producing Escherichia coli isolated from diarrheic children
Authors: Abdul-Reda Hussein Uday
Published: July 2024

Background:  Diarrhea is a major cause of morbidity and mortality in children under 5 years old in developing countries. Objective: This study designed to investigate the occurrence of extended spectrum beta-lactamase producing Escherichia coli  (E. coli ) as etiological infectious agents of  diarrhea in children, assessment of their susceptibility/resistance to antibiotics, and to evaluate  the antibacterial activity of the macroalgae Cladophora crispata extract towards these bacteria . Materials and Methods: 150 diarrheic stool samples were collected from children less than 5 years and cultured. The isolated bacteria were subjected to various identification and biochemical tests. Then all the  isolated bacteria (E. coli ) were subjected to ESBL-producing screening by double-disc synergy test, the antibacterial activity of algal extract and antibiotic susceptibility test against  tested bacteria  were determined by using agar well diffusion  and disc diffusion methods respectively . Results: Out of total 150 samples, only 18 isolates revealed the presence of extended spectrum β-lactamase producing E. coli, which showed highly susceptibility to gentamicin and amikacin, Cladophora crispata extract revealed a strong antibacterial activity against ESBL-producing E. coli. Conclusion: Cladophora crispata extract showed a strong antibacterial activity against ESBL-producing E. coli which can be exploited as source of antibacterial drugs to control and treatment diarrheal infection caused by these bacteria.
Relationship of ABO blood group with Hemoglubin level ,glucose level and urinary track infection of pregnant women
Authors: A. hasan Shireen , G. Magtooph Majida
Published: July 2024

This study was aimed to determine the relationship between ABO blood group with hemoglobin level ,glucose level and urinary track infection in pregnant women inAL- Naissary city Thi-Qar province ,Iraq .Atotal of 100 pregnant women have beenfound to be screened in this study .Blood samples were collected  to examine blood group Hb,and glucose level Also,urine samples were collected to examine urinary track infection .The results showed a significant decrease in hemoglobin level in pregnant women which carried  the blood group O when  compared with the rest groups(P<0.029) .But there was a significant increase in urinary track infection in the same blood group(P<0.012) . From the another side the blood group type B have significant increase in glucose level(P<0.027) .The finding of the present study was that  we the blood group type O was more susceptible to urinary track infection and low level Hb concentration .but the blood group type B was more susceptible to infected with Diabetes.
The protective role of N-Acetyl Cysteine and vitamin C against atrazine-Induced Dopaminergic Neurodegeneration in N27 Cells
Authors: Hassain Enayah Sabah , K. Al Atya Ahmed , A. Maktoof Afrah
Published: July 2024

Background: Atrazine (ATZ)has been associated with its capability to interact and damage DNA in neuronal cells. However, the molecular mechanisms of ATZ are not fully understood. In vitro and In vivo studies indicated that atrazine induces cytotoxicity and oxidative stress in human and animals. This study sought to determine the role of two antioxidants against the toxic impact of atrazine. Main Methods: N27 cell line pretreated to N-acetyl Cysteine NAC or Ascorbic acid AA alone or in combination before 24h atrazine exposure. Multiple intercellular antioxidant parameters measured such as (GSH, GSSG, MDA). Genotoxicity represented by single gel electrophoreses assay (comet assay). Results: the outcomes of this work demonstrated that higher protection against atrazine exposure at combination of NAC and AA comparing to the single exposure to each. The antioxidant acted in synergistic way to rescue cells from reactive oxygen species generated from atrazine exposure. DNA breaking or damage also prepared in better way in combination exposure comparing to the single exposure. Conclusion: the evidence of atrazine increase the oxidative damage have been approved by enhancing defense system to increase cell availability and DNA repair. While antioxidant (NAC&AA) prevent oxidative damage that causes by atrazine via increase cell viabilities and DNA fix.
Effect of Ho-YAG laser therapy on Complete Blood Count for Lithotripsy (in vitro)
Authors: Y. Nazal Ferial , K. Hamid Mohammed , R. Akal Hazim
Published: July 2024

Background :
The purpose of this study is to investigate the in vitro effect of  Ho – YAG  laser on Complete Blood Picture  in blood sample from ureteroscopic lithotripsy ( patients with urinary stones ) . The study is conduct  the effect Ho-YAG laser on Complete Blood Count (CBC)  was estimated before  and after exposure in vitro . The study was conducted on Complete Blood Picture , the taken number of (10) parameters was estimated before and after exposure . Result showed that there was a significant decreased in the percentage of Lymphocyte , PLT , HCT , RBC , HBG , MCHC , after exposure to 2100 nm (Ho-YAG ) laser . It is found that (Ho-YAG ) laser increase some parameters of  WBCs , MCV , MONO  and  MCH and after exposure.
Aerosol Assisted Dielectric Barrier Discharge Plasma Jet for PMMA/ZnS Nanocomposite Thin Films Preparation
Authors: A. Abed Mohaned
Published: July 2024

Pure Poly methyl methacrylate (PMMA) thin films and PMMA mixed with 1 %, 3%, 5% &7% by weight of ZnS nanoparticles (NP) were prepared by plasma jet technique. Formulation of the polymer with nanoparticles allows for modification of polymer physical properties. The PMMA /ZnS  nanocomposite prepared by polymerization in plasma jet and characterized by Ultra Violet Visible UV-Vis, Fourier Transform Infra-Red Spectrophotometer (FTIR), Atomic Force Microscopy (AFM) and SEM  to study the effect of ZnS nanoparticles on the optical properties, morphology and structure of the thin films. The FTIR spectra for the films show an interaction between PMMA and NPs. There is a decrease in the optical band gap of films prepared with an increase of the concentration of NPs. AFM and SEM images show that there are a few clusters of ZnS and there is a homogeneous distribution of the nanoparticles in the PMMA matrix.