bluuebunny/crossref_metadata_2025 huggingface dataset:
A Study On Work Stress Among Cement Manufacturing Workers: An Empirical Analysis
Authors: Jayapraksh S. , Banu Dr. P. Vijaya
Published: May 2024

This empirical study investigates the prevalence and determinants of work-related stress among cement manufacturing workers. The cement industry, characterized by physically demanding tasks and potentially hazardous environments, presents a unique context for examining the psychosocial factors contributing to occupational stress. The research employs a mixed-methods approach, combining surveys and in-depth interviews, to gather comprehensive data on stress levels, job characteristics, coping mechanisms, and their impacts on workers' well-being. The sample comprises a diverse cross-section of cement industry employees, including production line workers, supervisors, and managerial staff, from multiple manufacturing facilities. Quantitative analysis utilizes validated stress assessment tools and regression models to identify significant predictors of work stress. Qualitative data from interviews offer nuanced insights into the subjective experiences and coping strategies of individuals facing various stressors in their work environment. Preliminary findings suggest that factors such as high job demands, limited autonomy, insufficient social support, and safety concerns significantly contribute to heightened levels of work-related stress among cement manufacturing workers. Additionally, the study highlights the importance of individual coping strategies, organizational interventions, and social support networks in mitigating the negative impacts of stress on employee well-being. This research not only contributes to the growing body of literature on occupational stress but also provides practical implications for both management and policy makers in the cement manufacturing industry. Recommendations for targeted interventions, improved work processes, and enhanced support systems are discussed to foster a healthier and more productive work environment for all employees in the sector. This study underscores the need for continued attention to the well-being of workers in physically demanding and potentially hazardous industries.
Physicochemical attributes and bacteriome diversity of Lake Tunari, Taraba State, Nigeria
Authors: Deborah Ebunoluwa Adedire  , Adijat Ozohu Jimoh  , Zainab Kashim-Bello  , Bilyaminu Adam Wase Shuaibu  , Oluwabukola Atinuke Popoola  , Kabiru Isa Pate  , Onyinyechi Stainless Uzor  , Eno Etingwa  , Jumoke Florence Joda  , Oyetola Olanrewaju Opaleye  , Victoria Adejoke Ogunlowo  , Kehinde Rukayyat Adeniran  , Patrick Aderinola  , Oyekanmi Nashiru
Published: May 2024

Physicochemical parameters of aquatic habitats can play an influential part in shaping the microbial communities of water bodies. In this study, water samples from Lake Tunari were analysed for its microbiome and physicochemical attributes, using spectrophotometric and culture-dependent methodologies respectively. The temperature of the lake ranged from 28.00 – 29.00 (°C), while the pH ranged from 6.50 – 7.20. Heavy metals such as Manganese (0.48 ppm), Lead (0.14 ppm) and Selenium (0.10 ppm) showed significantly high values in selected parts of the lake, surpassing limits set by the World Health Organisation. Microbiome analysis revealed the largest phylum across sample sites as Proteobacteria, Firmicutes, and Planctomycetota with peak relative abundance values of 64.13%, 45.29% and 16.11% respectively. Bacterial genera such as Exiguobacterium, Methylocystis and Rhodoferax were detected from designated sites. The presence of these genera capable of tolerating, utilizing or degrading metal ions in water samples of the Lake might be indicative of chemical and metal trickles into the water body. In addition, relatively new and understudied bacterial phyla such as Gemmatimonadota, as well as unknown bacterial clades were identified from water samples of the lake. This study has revealed that Lake Tunari is not impervious to pollution, caused by either anthropogenic activities or from adjoining water channels. Environmental health awareness programs can be introduced to enlighten the populace, while scheduled microbial and physicochemical surveillance can be adopted, to control microbial contamination and curtail toxic material inflow into the Lake.
Digital procurement practices in SMES: comparative cases of advanced and emerging economies
Authors: Jahedul Alam Bhuiyan  , Bebe Asma  , Sabuj Chandra Bhowmik
Published: May 2024

About 99 percent of American firms are small and medium-sized enterprises (SMEs) and more than 88 percent of people are employed in SMEs. However, most SMEs are not using supplier interactions in digital platforms which is a flexible IT infrastructure (software, hardware, and network) and a well-developed information management capability. Organizations can use digital procurement platforms to foster managerial improvisation and can leverage, depending on the type of unexpected event. If we look at the emerging economy, the percentage of SMEs of total business is almost the same as advanced economies, but their digitalization is much less than the advanced economy. It is obvious that digital procurement is now one of the most significant prerequisites to tackle the supply chain crisis that leads to gaining competitive advantages in the financial and non-financial perspective of a business. It is also true that lacking the proper understanding of digital transformation and organizational capabilities, many small and medium enterprises are facing enormous hardships to sustain. This study aims to examine the challenges and opportunities of SMEs with digital procurement. Based on the literature review, we present a research model of digital transformation which defines key variables. We also use case study instruments to target SMEs in different sectors in advanced (USA) and emerging economies (Bangladesh) for empirical investigation.
A detailed analysis on the collections of the family Zingiberaceae in the Herbarium of Botanical Survey of India, Eastern Regional Centre, Shillong (ASSAM)
Authors: Debnath Suparna , Vijayan Deepu
Published: May 2024

The Eastern Regional Centre of Botanical Survey of India at Shillong has a herbarium whose acronym or code is ASSAM. The herbarium harbours about 1,50,000 specimens of angiosperms, gymnosperms and pteridophytes collected from different parts of northeastern India. This present communication deals with the representative herbarium specimens of the family Zingiberaceae housed in ASSAM, which includes about 100-year old collections as well as specimens collected during the recent periods from different parts of northeastern India. A careful consultation/indexing of voucher specimens of Zingiberaceae revealed that the ASSAM has a total of 1,080 herbarium sheets belong to 110 species under 19 genera. Furthermore, ASSAM has about 80 type specimens representing names of 21 new species under 6 genera. The current scientific name and distributional pattern of each species are provided.
Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI
Authors:   Department of Artificial Intelligence and Data Science,Panimalar Engineering College, Malathi Malathi ,   Department of Artificial Intelligence and Data Science,Panimalar Engineering College,   Department of Artificial Intelligence and Data Science,Panimalar Engineering College,   Department of Artificial Intelligence and Data Science,Panimalar Engineering College, Benny Ashwin M., Rijo , Benny Rijo , Hemamalini S.
Published: May 2024

The education landscape is shifting towards automation and digitalization to cater to the increasing demand for personalized learning experiences and more efficient teaching methods. In response to this trend, we propose the development of an integrated educational automation fusion platform that aims to overhaul educating and learning practices across various educational sectors. The integration of cutting-edge language models like GPT-3.5 and Gemini Pro in information retrieval and conversational AI has opened fresher opportunities, even within the realm of education. With its advanced features, LangChain, a powerful framework for large language models, enables seamless integration of AI-driven functionalities, including document analysis, question generation, and chatbot interaction, revolutionizing the educational landscape. Also, by harnessing the vast resources of the OpenAI API, our platform empowers educators and learners to engage in dynamic conversations with educational materials, generate personalized assessments, and gain deeper insights from complex datasets within a single forum. This single platform disseminates information on all facets of research and development in educational domain on the grounds of fusion practices and applications. This system is successful in combining multiple models for intelligent systems. On evaluation, our system was successful in generating decent performance compared to existing systems, even though they are singular modules. Overall, our platform aims to empower educators, students, and institutions to embrace the digital era of learning and unlock new avenues for fusion-based knowledge acquisition and innovation.
Computational genetic epidemiology: Leveraging HPC for large-scale AI models based on Cyber Security
Authors:   Principal, Indur Institute of Engg.  Tech, Siddipet, Bharat, Rajeev Rajeev ,   Junior Engineer (Computer Science), Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar,   Principal, Princeton Institute of Engineering  Technology for Women Hyderabad, Telangana, India, 4Professor, CMR Engineering College, Hyderabad, (T. S.), India.,   Professor, CMR Engineering College, Hyderabad, (T. S.), India.,   Asst. Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, Bharat,   Asst. Professor, Dept. of ECE, St. Martin's Engineering College, Secunderabad, Telangana, Bharat., Pandey Tushar Kumar , Shrivastava Rajeev , Tiwari Rajesh , Devi S. Anjali , vishwanath Neerugatti Varipallay
Published: May 2024

To better understand disease susceptibility and prevention, computational genetic epidemiology is leading research. This paper introduces GenomeMinds, a breakthrough method for scaling large-scale AI models for disease risk prediction. HPC was used to develop the method. GenomeMinds is compared to six standard methods to demonstrate its benefits. GenomeMinds' incredible potential is shown by real-world performance assessments. These measures evaluate data processing speed, forecast accuracy, scalability, computer efficiency, privacy, and ethics. GenomeMinds benefits are shown via scatter plots, which visually compare data. According to the data, GenomeMinds may revolutionize computational genetic epidemiology by doing well across all criteria. GenomeMinds has faster data processing, better prediction accuracy, stronger scalability, higher computational efficiency, enhanced privacy and security, and a comprehensive ethical awareness.
Order-six complex hadamard matrices constructed by Schmidt rank and partial transpose in operator algebra
Authors: Chen Yuming
Published: May 2024

Hadamard matrices play a key role in the study of algebra and quantum information theory, and it is an open problem to characterize 6 6 Hadamard matrices. In this paper, we investigate the problem in terms of the Schmidt rank. The primary achievement of this paper lies in establishing a systematic approach to generate 6 6 Hadamard matrices and H-2 reducible matrices through partial transpose. First, if the Schmidt rank of a Hadamard matrix is at most three, then the partial transpose of the Hadamard matrix is also a Hadamard matrix. Conversely, if the Schmidt rank is four, then the partial transpose is no longer a Hadamard matrix. Second, we discuss the relationship between Schmidt rank and H-2 reducible matrices. We prove Hadamard matrices with Schmidt-rank-one are all H-2 reducible, and prove that some Schmidt-rank-two matrices are H-2 reducible. Finally, we confirm that the partial transpose of an H-2 reducible Schmidt-rank-one or two Hadamard matrix remains H-2 reducible.
Parking recommendation with meta-heuristic algorithms
Authors: Wu Siyuan , Yang Tingting
Published: May 2024

Due to the exponential growth of cars in urban areas, parking problems have become a significant concern. Addressing this issue requires efficient methods for locating available parking spaces, enhancing the overall experience for drivers. This paper introduces a parking lot recommendation model leveraging meta-heuristic algorithms to generate a list of potential parking locations based on the users travel destinations. The primary objectives of these algorithms include minimizing travel distance, reducing total parking fees, and selecting parking lots with ample available spaces.
The proposed model incorporates bio-inspired algorithms, including simulated annealing, genetic algorithms, and their adaptive variants. Our evaluation compares the performance of these algorithms, highlighting the adaptive simulated annealings superior quality of solutions and robustness against local minima. However, it is important to note that this approach comes with a trade-off, requiring longer execution times.
In summary, this research contributes a novel parking lot recommendation model that effectively addresses the challenges posed by urban parking. The performance evaluation underscores the efficacy of the adaptive simulated annealing approach, showcasing its potential for practical implementation despite its relatively longer execution time.
Automatic pricing and replenishment decision-making for vegetable products based on optimization models
Authors: Chen Yifan , Zheng Zhong , Wang Xiaoya , Meng Ziqi , Li Jiayao
Published: May 2024

Addressing the replenishment and pricing issues of vegetable products is crucial for ensuring product quality and freshness, optimizing sales combinations, refining pricing strategies, and enhancing operational efficiency. Through scientific data analysis and decision-making, supermarkets can better meet consumer demands, enhance competitiveness, and achieve sustainable development. This paper discusses the complex issues of procurement and pricing of fresh vegetable products in current supermarkets. It employs methods such as hierarchical clustering analysis, Topsis evaluation, and optimization models to construct data models, establishing multiple models to address replenishment and pricing decision-making from various perspectives. The research indicates, firstly, the paper categorizes vegetable products into four clusters, explores complementary and substitute products within them, and discovers that reasonable sales combinations among different types of single products can mutually promote sales, leading to higher economic benefits for supermarkets. Secondly, the paper derives a mathematical model describing the relationship between total profit, total sales volume of individual products, and pricing. This model provides valuable recommendations for supermarkets replenishment and pricing decisions, ensuring practical implementation of pricing and replenishment plans. Thirdly, the paper establishes a model for maximizing profits under constant replenishment quantities, assisting supermarkets in formulating more scientific replenishment plans for individual products within a limited number of available items. By judiciously applying the innovative mathematical models presented in this paper, supermarkets can obtain reliable market analysis and make corresponding replenishment and pricing decisions.
PERANCANGAN SISTEM INFORMASI PENDATAAN CALON PENERIMA BEASISWA BAZNAS KABUPATEN ASAHAN
Authors: Ramadhani Suci , Mahrani Isma Auli , Agusti Ryandini Dwi , Khairunnisa Riri , Mulyani Neni
Published: May 2024

Abstract: Poverty is a serious problem in developing countries, including Indonesia, which has an impact on limited access to education. To address this issue, BAZNAS (National Amil Zakat Agency) is present as a zakat management institution that aims to alleviate poverty through programs such as scholarships. However, in practice, there are obstacles in the effectiveness and efficiency of the process of data collection and input of scholarship recipients' files. This study aims to develop a design of an information system for data collection of scholarship recipients at BAZNAS Kabupaten Asahan to assist in the data collection and input process of scholarship recipients' files. This system uses MySQL database and PHP programming through visual studio code software, and functions as a recommendation tool in the data collection of scholarship recipients. With this information system, it is expected to help BAZNAS in improving the accuracy and efficiency of the data collection and input process of scholarship recipients' files, so that the scholarship program can be more targeted and have a greater impact in efforts to alleviate poverty through education. Keywords: baznas; scholarship; poverty  Abstrak: Kemiskinan merupakan permasalahan serius di negara berkembang, termasuk Indonesia, yang berdampak pada keterbatasan akses pendidikan. Untuk mengatasi hal ini, lembaga BAZNAS (Badan Amil Zakat Nasional) hadir sebagai lembaga pengelola zakat yang bertujuan untuk mengentaskan kemiskinan melalui program-program seperti beasiswa. Namun, dalam praktiknya, terdapat kendala dalam efektivitas dan efisiensi dalam proses pendataan dan penginputan berkas calon penerima beasiswa. Penelitian ini bertujuan untuk membangun sebuah perancangan sistem informasi pendataan calon penerima beasiswa pada BAZNAS Kabupaten Asahan guna membantu proses pendataan dan penginputan berkas dari para calon penerima beasiswa. Sistem ini menggunakan database MySQL dan pemrograman php melalui software visual studio code, serta berfungsi sebagai alat rekomendasi dalam pendataan calon penerima beasiswa. Dengan adanya sistem informasi ini, diharapkan dapat membantu pihak BAZNAS dalam meningkatkan akurasi dan efisiensi dalam proses pendataan serta penginputan berkas calon penerima beasiswa, sehingga program beasiswa dapat lebih tepat sasaran dan memberikan dampak yang lebih besar dalam upaya mengentaskan kemiskinan melalui pendidikan.Kata Kunci: baznas; beasiswa; kemiskinan.
ANALISIS FAKTOR PREDIKSI DIAGNOSA TINGKAT SERANGAN JANTUNG MENGGUNAKAN METODE REGRESSION
Authors: Sembiring Muhammad Ardiansyah
Published: May 2024

Abstract: Heart disease, which is also known as cardiovascular, is a variety of conditions where there is narrowing or blockage of the blood vessels which can cause heart attacks, chest pain, stroke. Heart disease can occur in anyone of any age, gender, occupation, and lifestyle. In addition, heart disease cannot be cured. This condition requires careful treatment and monitoring throughout life. When this treatment fails, sufferers have to undergo surgical operations which are quite expensive and complicated. A report from WHO in September 2009 stated that this disease was the first cause of death to date. In 2004, an estimated 17.1 million people died from heart disease. This figure represents 29% of global causes of death, with details of 7.2 million people dying from heart disease and 5.7 million people dying from stroke. This can be prevented by reducing risk factors. The role of information technology can be realized by data retrieval techniques. research to shorten the time and selection of factors for early detection of heart attacks.Keywords: heart; regression; information Technology  Abstrak: Penyakit jantung atau heart disease , yang juga dikenal dengan istilah kardiovaskuler adalah berbagai kondisi dimana terjadi penyempitan atau penyumbataan pembuluh darah yang dapat menyebabkan serangan jantung ,nyeri dada,stroke, Penyakit jantung dapat terjadi oleh siapapun disegala usia , jenis kelamin, pekerjaan , dan gaya hidup. Selain itu penyakit jantung tidak dapat disembuhkan .Kondisi ini membutuhkan pengobataan dan pemantauan hati-hati sepanjang hidupnya. Ketika pengobataan ini gagal , penderita harus melakukan operasi bedah yang cukup mahal dan rumit . Laporan dari WHO September 2009, menyebutkan bahwa penyakit tersebut merupakan penyebab kematian pertama sampai saat ini. Pada 2004, diperkirakan 17,1 juta orang meninggal karena Penyakit Jntung . Angka ini merupakan 29% dari penyebab kematian global, dengan perincian 7,2 juta meninggal karena penyakit jantung dan 5,7 juta orang meninggal karena stroke.Hal inni dapat dicegah dengan menggurangi factor- factor resiko .Peran teknologi informasi dapat diwujudkan dengan teknik mencari data riseet untuk mempersingkat waktu dan pemilihan fakto-faktor pendeteksi dini serangan jantung .Kata kunci: jantung; regresi; teknologi informasi
Analysis of Different Treatment Approaches to Prevent Alveolar Osteitis
Authors: Sadiq Muhammad Shairaz , Noor Maria , Ishaq Yaser , Saeed Tooba , Syed Amna Javed , Siddique Sobia
Published: May 2024

Alveolar Osteitis (AO) is a complication that can arise after tooth extraction. It refers to a socket following extraction that lacks epithelium, blood clot, and has an exposed bony surface, often causing intense and radiating pain. Objectives: To determine the incidence of AO among different treatment groups undergoing tooth extraction. Methods: A prospective comparative study was conducted. Patients were enrolled and allocated into treatment groups: Control, Saline Irrigation, and chlorhexidine (CHX) Rinse. Outcome measures included the incidence of AO. Statistical analysis was performed to compare outcomes between treatment groups. Results: The overall occurrence rate of dry socket was 14.22%, with the highest incidence observed in patients who received saline irrigation. Conversely, the use of chlorhexidine rinse once postoperatively resulted in the lowest incidence rate. Conclusions: It was concluded that post-operative use of chlorhexidine rinse shows a promising and favorable outcome in preventing AO among patients. However, this study does not support the justification for irrigation with saline. Further well-designed clinical trials are necessary to validate these findings.
Etos Kerja dalam Manajemen Pendidikan Islam Menurut Tafsir Al-Wahidi (Kitab Al-Basit) terhadap Surat At-Taubah ayat 105
Authors: Azizah Putri Hidayatul , Nugraha Denas Hasman
Published: May 2024

Islamic educational management is an important aspectof the development of educational system incorporanting religious values, morality and ethics. The work ethic of islami education management refers to the concept of combining learning, practice and behavior in accordance with Islamic teachings. An important reference in the analysis of work ethics in Islamic educational management is Tafsir Al-Wahidi (Kitab Al-Basith) on surah At-Taubah, verse 105. The research uses literature studies as a method of collecting data, adopting a qualitative research approach of descriptive and interprenting nature. The interpretation of the surah at-taubah verse 105, according to Al-Wahidi teaches the ethics of work for leaders and managers in the field of education management. Tafsir Al-Wahidi emphasizes the importance of taking into account various factor and perspectives when making decisions, as well asassesing the interests of users. Decisions should be made wisely and fairly and resources should be managed according to user needs. These cocepts serve as a guide for leaders and managers in establishing management system thst peomote good moral and ethical values and ensure participation and fairness.d
Theoretical Approaches to the Interpretation of Stylistic and Poetic Terminology: Between Traditionalism and Modernism
Authors: Azmanova Natalia
Published: May 2024

So far we have only one truly philological translation of Shakespeare's sonnets in our culture, and that partial one belongs to Andrei Ion Deleanu, who deals only with the last 28 sonnets (CXXVII - CLIV), dedicated to Lady Brune. (Andrei Ion Deleanu, The Dark Lady of the Sonnets, annotated Romanian version of 28 of William Shakespeare's sonnets, Dacia Publishing House, Cluj-Napoca, 1978). On the other hand, there are several complete or partial versions by renowned Anglicists or writers (even poets), such as Leon Levițchi, Dan Grigorescu, Mihail Sebastian, Petre Solomon, Ion Frunzetti, Gheorghe Tomozei, etc. Their concern is to respect the formal/prozodic rigours of the sonnet (fixed-form poetry) and the overall content of these poems. The solution that we will propose aims to reconcile both types of translation that can be met. We believe that in doing so, both Shakespeare and our culture would benefit more. A translation that is both faithful and beautiful can be achieved, though of course the absolute cannot be attained. However, for such an undertaking, it is appropriate to take into account several aspects, which we will mention below. Among them, we should also bear in mind the concepts of fairness and appropriateness, taken in a Cartesian sense
Student’s Artistic Decisions Generated by Personal Preferences in the Process of Creation
Authors: Lemonchois Myriam
Published: May 2024

The article porte sur les intérêts personnels de l’élève lors d’interventions d’artistes et plus largement en enseignement des arts. Today, l'éducation artistique est soucieuse des interests de l'élève dans son processus de création artistique. Dans les recherches sur les interventions d'artistes, des divergences concernant la prise en compte de l'intérêt de l'élève appear entre d'un côté, les acteurs de l'école, les enseignants et les conseillers pédagogiques, et, de l 'autre, les artistes et les élèves. Les différences portent sur la representation des interests de l’élève lors des three étapes du processus de création: l’inspiration, l’elaboration et l’exposition au public. Les résultats de recherche questionnent les représentations des intérêts personales des élèves dans des projets culturels ou en enseignement des arts. In conclusion, the article proposes aux milieux scolaires et à leurs milieux de recherche et de formation, de développer l’intérêt artistique, un intérêt essentiel pour la participation de chacun à l’aménagement culturel de son territoire.
F. Schubert's Vocal Cycle “Die schöne müllerin” as Teaching Aid for the Professional Training of Concert Pianists
Authors: Turea Elena
Published: May 2024

The article analyzes F. Schubertʼs vocal cycle Die schöne Müllerin from the point of view of its potential for professional training of pianists-accompanists. We are talkind about the development of an artistic concept of performing interpretation, the relationship between poetic and musical components, between vocal and piano parts, the types of ensemble texture and development of the ensemble qualities of a vocalist and pianist. It is concluded that the piano part plays not only the role of voice support here, but is also an important constructive component of the composition. The elements of instrumental figurativeness give to music visibility and tangible reality. They are associated with the show of the image of the Brook, as well as the reproduction of various sounds. Accompaniment is also important from the viewpoint of the ladoarmonic and thematic processes of the cycle. Highlighting the most expressive short melody on the piano, then Schubert develops it into the vocal part. The accompaniment with its own intonative material sometimes seems relatively dependent of the vocalist's part, offering only harmonic support although, often the piano part contains intonative material, equivalent to the vocal one. Work on the proposed cycle, gives to pianists-acompanists an excellent opportunity to develop technical and working qualities in ensemble, stimulate their imagination, etc. Piano accompaniment is likewise important from the outlook of the modal-harmonic and thematic processes of the cycle.
Immunomodulatory effect of aqueous extract of Termitomyces striatus mushroom on enterohemorrhagic Escherichia coli-infected mice
Authors: SITATI CONCEPTA , OGILA KENNETH , WAIHENYA REBECCA , OCHOLA LUCY
Published: May 2024

Enterohemorrhagic Escherichia coli (EHEC) generates Shiga toxins that causes immunosuppression and diarrhea. Synthetic immunomodulatory drugs are associated with numerous severe effects, necessitating the need for substitute therapeutic agents. This study aimed to determine the immunomodulatory activity of aqueous extract of Termitomyces striatus in in mice infected with EHEC. Mice in the positive control, negative control and two extract-treated groups were administered orally with 200µL of 9×108 CFU/mL EHEC. From day 5, the positive control, negative control, and extract-treated mice were orally administered with levamisole (50mg/kg body weight (bw)), phosphate-buffered saline (vehicle), and aqueous extract of Termitomyces striatus (200 and 400mg/kg body weight), respectively. The control mice received the vehicle only. After the experiment, the mice were euthanized, blood was collected, and white blood cells (WBCs) and differentials analyzed using a hematological analyzer. Immunoglobulin G (IgG), interleukin-4 (IL-4) and interferon-gamma (INF-γ) levels were also quantified using enzyme-linked immunosorbent assays. The extract significantly reduced elevated levels of WBCs, neutrophils, monocytes, eosinophils and basophils, as well as significantly enhanced the levels of lymphocytes in EHEC-infected mice (p<0.05). Besides, the extract significantly lowered the levels of INF-γ while significantly increasing the levels of IL-4 and IgG in EHEC-infected mice. Flavonoids, alkaloids, saponins, steroids and phenolics are some of the phytochemicals that were detected in T. striatus. Together, these finding revealed that T. striatus extract modulated immune response in EHEC- challenged mice by lowering leucocyte counts and INF-γ, enhancing lymphocytes, IL-4 and IgG, suggesting that the extract could be developed as an immunomodulatory agent.
Effects of catfish oil and Curcuma longa L. extract on ApoB levels and atherosclerosis risk indicators in metabolic syndrome rats
Authors: Pramayastri Vina , Mahati Endang , Sulchan Mohammad , Afifah Diana
Published: May 2024

The increase in ApoB levels, atherogenic index of plasma (AIP) and castelli risk index I-II (CRI) is prediction of cardiovascular disease in metabolic syndrome. Lipid peroxidation could initiate the process of atherosclerosis and involved in the etiology of cardiovascular disease. Dietary fish oil and extract of Curcuma has been shown to beneficially reducing effect of atherosclerosis and lipid peroxidation. The aim of this study was to determine the effect of Catfish Oil and Curcuma longa Linn extract on ApoB levels and lipid ratios as protective nutraceutical for metabolic syndrome. Thirty male Wistar rats were randomly divided into 5 groups namely HC (healthy control), HFFD (High-Fat High-Fructose Diet), and intervention group P1 (High-Fat High-Fructose Diet + Catfish Oil 0.08 ml/gr/day), P2 (High-Fat High-Fructose Diet + Curcuma longa linn extract 5.04 mg/gr/day), and P3 with High-Fat High-Fructose Diet + combination of both. HFFD was used to induced metabolic syndrome. ApoB levels were measured by the Immunoturbidimetric and lipid levels with ELISA method. Lipid ratios was calculated by AIP (log TG/HDL), and the CRI I-II (TC/HDL,LDL/HDL). The study was showed significantly reduced (p=<0.05) the ApoB levels, AIP and CRI in intervention group. The coefficient value was showed that every increase in ApoB levels against AIP and CRI there was an increase of 35.309mg/dl. In conclusion, combination of both may decrease levels of ApoB, and atherosclerosis risk indicators in metabolic syndrome rats.
İlaca Bağlı Çene Osteonekrozu
Authors: Kılınç Yeliz
Published: May 2024

İlaca bağlı çene osteonekrozu (MRONJ), antirezorptif veya antianjiyojenik ilaç kullanan hastalarda gelişebilen önemli bir komplikasyondur. Bu patolojiye immünmodülatörler gibi diğer ilaçlar da neden olmaktadır. MRONJ hastaları genellikle ileri evrelerde başvurur ve tedavi süreci cerrahi veya cerrahi olmayan girişimleri gerektirir. Doğru tanıyı koymak ve gerekli bakımı sağlamak için klinisyenlerin MRONJ’u tüm yönleriyle bilmeleri çok önemlidir. Bu derlemenin amacı, MRONJ ile ilişkili ilaçların listesini güncellemek, risk faktörlerini, klinik ve radyolojik özellikleri, önleme ve tedavi stratejilerini analiz etmektir.
Contributions of dairy cooperatives to the competitiveness of smallholder dairy farmers in Palabana area of Chongwe District
Authors: M Haachilala , A Mwange
Published: May 2024

This study investigates the influence of dairy cooperatives on the competitiveness of small-scale dairy farmers in Palabana, Chongwe district, Zambia. The focus is on several crucial aspects: increasing milk production, enhancing productivity, improving quality, and boosting market share through cooperative membership. Data was collected from 73 randomly selected cooperative members through semi-structured questionnaires using a convergent parallel mixed-method technique. The quantitative data was examined using descriptive statistics and presented visually, while the qualitative data added contextual richness to these conclusions. The findings revealed a significant rise in milk production among members of the cooperative, even though there was a lack of direct provision of nutritional inputs. This implies that additional elements, such as training and the exchange of knowledge, played a key role in these gains. Furthermore, there was widespread mention of training sessions covering a range of dairy management subjects, which highlights the cooperative's efforts to improve farmers' abilities and increase output. Cooperatives played a crucial role in enhancing the quality of milk by offering valuable advice on managing milk quality, specifically in preventing and treating mastitis. Furthermore, farmers saw enhanced market dominance and financial gains as a result of their participation in cooperatives, which was made possible by greater opportunities to access larger markets and engage in joint sales initiatives. This study finds that cooperatives play a significant role in improving the competitiveness of smallholder dairy farmers by increasing yields, productivity, and market access. However, providing more comprehensive support in areas like animal health, input provision, and continuous training could further enhance these benefits. To maintain sustainable growth and competitiveness in the dairy sector, it is important to emphasize the necessity of ongoing improvement in cooperative initiatives.
Exploring strategies for overcoming teaching challenges and enhancing learning in music education
Authors: Liu Yujia , Seemuang Jatuporn , Kaenampornpan Pornpan
Published: May 2024

This study explores innovative strategies for overcoming teaching challenges and enhancing learning in music education. The introduction highlights the pivotal role of music education in fostering creativity and critical thinking while acknowledging the challenges faced by educators, such as limited resources and difficulty in engaging students. The objective is to investigate and analyze effective strategies aimed at overcoming teaching challenges and improving learning outcomes in the field of music education. The content encompasses a comprehensive literature review, survey development, administration, data analysis, expert interviews, case studies, and framework development. Key informants include music educators, students, curriculum developers, and industry experts. Data analysis involves qualitative analysis of open-ended responses, and framework development based on findings. The research results identify teaching challenges (e.g., resource limitations, diverse learning needs) and effective strategies (e.g., multi-sensory teaching, technology integration) implemented in music education. Suggestions include incorporating culturally relevant content, project-based learning, and community partnerships. Keywords: music education, teaching challenges, innovative strategies, student engagement, learning outcomes.
The festival of singing love songs with fairies of the Bố Y ethnic group in Vietnam
Authors: Tran Quoc Viet , Tran Nhi Yen
Published: May 2024

The detailed study explores a festival of the Bố Y people in Vietnam, where fairies from the moon are invited to the earthly realm to sing serenades. The research identifies that despite the influence and homogenization of the Han culture on the language of this ethnic group, they still retain and express many traditional cultural values through the festival. This serves as evidence for the significant role of the festival in preserving cultural heritage and coping with the strong influence from the Han culture. Our aim is to provide a profound insight into the important role of the festival in cultural preservation and propose directions for policymakers to promote and conserve the cultural identity of ethnic minorities.
O PAPEL DO AUDITOR CONTÁBIL NO FORTALECIMENTO DA TRANSPARÊNCIA E DA CONFORMIDADE COM APLICAÇÃO DAS MELHORES PRÁTICAS CONTÁBEIS EM EMPRESAS FAMILIARES
Authors: Brito Cristiana Oliveira de , Alves Leonardo Silva , Rodrigues Douglas Bastos
Published: May 2024

As empresas familiares representam uma grande parcela do setor empresarial em todo o mundo. Essas organizações possuem características distintas, uma vez que a gestão é conduzida por membros da mesma família, que frequentemente têm interesses e dinâmicas particulares. Nesse contexto, a contabilidade desempenha um papel essencial na garantia da transparência, governança e sustentabilidade dessas empresas. Destarte, esse estudo tem como objetivo geral, é analisar o papel do auditor contábil em empresas familiares, investigando os desafios e as oportunidades enfrentadas por esses profissionais no contexto específico dessas organizações.  Os objetivos específicos são discorrer sobre o conceito de empresas familiares, declarar o papel do auditor nesse contexto e expor seus desafios. A metodologia aplicada está ancorada na pesquisa bibliográfica do tipo exploratória, estabelecendo uma análise qualitativa embasada em estudos que tratam de competências societárias relacionadas com a sustentabilidade. Em conclusão, o papel do auditor contábil em empresas familiares transcende a mera verificação de números e demonstrações financeiras. Eles atuam como guardiões da integridade financeira, facilitadores da transparência e parceiros de confiança em um ambiente empresarial único e muitas vezes desafiador.
Tax Revenue In Asian Countries: Contribution Of Economic Sector With The Rule Of Law As A Moderating Variable
Authors: Wijaya Suparna , Putri Yuninda Anggraini
Published: May 2024

The implementation of government effectiveness aims to provide the best service to the community. The effectiveness of this organization can be measured by one of them using The Worldwide Governance Indicators (WGI) project index. From 2010 to 2019, there are seven Asian countries with effectiveness indexes above the world average, namely Georgia, Hong Kong, Thailand, Japan, South Korea, Singapore, and Malaysia. Through this study, it will be assessed whether this effectiveness supports tax revenue by conducting research on the effect of the contribution of the industrial sector and the service sector to Gross Domestic Product (GDP) on the effect of tax revenue. Then the author also conducts research whether the interaction of moderating variables, in this case the Rule of Law Index variable with the two independent variables (the contribution of the industrial sector and the service sector to Gross Domestic Product (GDP)) has an influence on the contribution of tax revenue to GDP considering that law enforcement is one of the steps in the implementation of controlling tax payments. The results obtained in this study state that before the interaction with moderating variables, the independent variables, namely the industrial sector and the service sector in GDP contribution, have a significant negative effect on tax revenue. Then when the moderating variable, namely the rule of law index, interacts with the industrial sector and the service sector, the effect of the two independent variables on the tax revenue variable has increased to a significant positive effect, so that the moderating variable in this study has a role that strengthens the influence of the independent variable on the dependent variable.
Urgensi Implementasi Laporan Keberlanjutan Pada Sektor Pemerintah
Authors: Amalia Rizky , Firmansyah Amrie
Published: May 2024

Penelitian ini bertujuan untuk menganalisis urgensi implementasi pelaporan keberlanjutan di sektor Pemerintah Indonesia. Pendekatan scoping review dipilih dalam penelitian ini dengan dokumentasi sebagai teknik pengumpulan data. Sumber data berasal dari artikel-artikel penelitian, buku, website dan referensi ilmiah lainnya. Hasil penelitian ini menunjukkan bahwa laporan keberlanjutan telah diterapkan oleh instansi pemerintah di berbagai negara terutama pada pemerintah daerah. Pelaporan keberlanjutan juga memberikan banyak manfaat. Selain efisiensi anggaran, pengungkapan laporan keberlanjutan adalah wujud transparansi dan akuntabilitas terhadap lingkungan dan masyarakat. Namun implementasi pelaporan keberlanjutan di sektor pemerintah perlu direncanakan dengan baik terutama oleh Pemerintah sebagai regulator, agar dapat meminimalisasi risiko seperti ketidakkonsistenan dalam penyusunan laporan keberlanjutan tahunan. Penelitian ini mengimplikasikan bahwa instansi pemerintah dalam bidang pengawasan dan pemeriksa dapat menjadi pionir dalam penerapan pelaporan keberlanjutan di sektor publik. Penelitian ini menyediakan literatur ulasan potensi implementasi pelaporan keberlanjutan di sektor pemerintahan.
Earthquakes Three-Stage Early Warning and Short-Term Prediction
Authors: Kachakhidze Manana , Kachakhidze-Murphy Nino , Ramishvili Giorgi , Khvitia Badri
Published: May 2024

Among the anomalous geophysical phenomena observed preceding earthquakes, specific attention has been given to VLF/LF, ULF (very low frequency/low frequency, ultra-low frequency) electromagnetic (EM) emissions, recorded before earthquakes, because of an interesting correlation between them and seismic activity. Numerous scientific papers have been published on this topic, providing convincing evidence of these processes observed using ground-based and satellite ground-based observations during the preparation for the earthquake. These phenomena are detectable both at laboratory and geological scales. The authors of this paper have used an avalanche-like unstable geological model of fault formation and a model of the generation of electromagnetic emissions detected before the earthquakes to prove the prediction capabilities of VLF/LF EM emissions. The first gives a clear imagination of earthquake preparation in all stages in the focal area from the beginning of the micro-cracks appearing to the final formation of fault. Another one, based on electrodynamics, explains the EM emissions origination process and offers a formula that analytically connects the observed frequency of  EM radiation with the linear size of the emitted body (fault). It is worth emphasizing the synthesis and rather harmonious relation of the mentioned models. Based on the above models conducted studies clearly show that the description of a qualitative avalanche-unstable geological model of fault formation using VLF/LF EM radiation data made it possible to quantitatively characterize the full cycle of preparation and occurrence of earthquake process. Namely, in the case of VLF/LF emissions monitoring, the beginning of the “avalanche process” of ruptures is considered the first stage of early warning of an incoming earthquake. The so-called EM emissions “silence” period is assessed as the second stage of early warning. The third early warning or an alarm about an incoming earthquake may be announced immediately at the moment of the first anomaly appearance subsequently the “silence” period. This article offers the method of earthquake three-step early warning and short-term (hourly) prediction.
A Review on Design and Fabrication of Affordable Lift for Built Home
Authors:   Research scholar, Department of Mechanical Engineering, Vidyavardhaka College of      Engineering, Mysuru, Karnataka, India, C S Thamme Gowda
Published: May 2024

Lift may be a very simple mechanical equipment used to raise elements or objects or load from ground level to a specific height to perform a particular work with maximum load capacity and minimum efforts of a worker. The objective of this work is to develop a mechanism for climbing up and down over stairs for aged and physically challenged people and easy mobility of the whole elevator. To achieve this, we require high strength materials, wheels, etc. All the researchers attempt to optimize these parameters according to the concerned requirements. This review paper is focused on the analysis of some research papers containing the entire study of components, selection of materials, and analysis of dimension of components. After the analysis of research papers, long term scope of the research was also suggested. This review paper focuses on the analysis of several research papers that explore the entire study of components, selection of materials, and analysis of dimension of components. It provides insights into current advancements in the field and evaluates different approaches to developing a stair-climbing mechanism for aged and physically challenged individuals.
Review on Design and Fabrication of Solar Panel Cleaning Mechanism
Authors: Khandare, Dr.Nilesh H.
Published: May 2024

Today energy demands are increasing sharply therefore as a Renewable source of power, solar energy has an important role in producing the electricity direct from sunlight. The surface of solar panel in solar power plants becomes dirty due to natural factors such as dust and bird droppings. This project aims at increasing the efficiency of solar power plants by solving the problem of accumulation of dust on the surface of solar panel which leads to reduction in plant output and overall plant efficiency. It proposes to develop a Solar Panel Cleaning System which could remove the accumulated dust on its surface on a regular basis and maintain the solar power plant output.[8]
Book Recommendation System
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology Modinagar, India, Shukla, Arpit
Published: May 2024

In the digital age, the vast availability of books poses a significant challenge for readers to discover titles that match their interests and preferences. This report explores the use of machine learning for a Book Recommendation System (BRS) to help readers discover books suited to their interests in the digital age. It will utilize advanced algorithms and techniques, including collaborative filtering, content-based filtering, and hybrid models, to offer personalized recommendations based on users' reading history and behavior. The project aims to tackle challenges like data sparsity and the cold-start problem while ensuring scalability. Evaluation will be based on standard metrics like precision, recall, accuracy, and novelty, with a focus on ethical considerations such as fairness and user privacy. Ultimately, the goal is to develop a robust and user-centric system that enhances the book discovery process across digital platforms. A Graphical User Interface is also developed to discover information and display the recommended books. Keywords—Machine Learning, Book Recommendation System, K-Nearest Neighbor Algorithm