bluuebunny/crossref_metadata_2025 huggingface dataset:
Access to Credit for SMEs in Rural Vietnam
Authors: Thi Thanh Nhan Nguyen
Published: January 2025

This study addresses the important question of why rural small and medium enterprises in Viet Nam face significant challenges in accessing formal credit and explores barriers to financial inclusion. This study fills a gap in previous studies by focusing specifically on small and medium enterprises in rural Vietnam, which are important for economic development but are disadvantaged by geographical and institutional constraints. The study was conducted to understand these challenges, evaluate the effectiveness of current financial policies and programs, and propose practical solutions to improve access to credit for small and medium enterprises in rural Vietnam. Using a qualitative approach, the study collected data from semi-structured interviews with 18 rural small and medium enterprises owners, 12 financial experts, and 10 policy makers across Vietnam. The findings suggest key barriers such as lack of collateral, high interest rates, limited financial literacy, inefficient bureaucracy and limited presence of financial institutions in rural areas. Although government initiatives and microfinance models show potential, their scope and impact are limited by many operational and cognitive issues. The results underscore the need for targeted interventions, such as simplifying the lending process, expanding financial literacy programs, and strengthening community-based financing mechanisms. Improving access to credit for rural small and medium enterprises plays an important role in promoting inclusive economic growth, poverty alleviation, and addressing regional inequalities in Vietnam.
Keywords: Small and Medium Enterprises, Access to Credit, Rural Vietnam.
АУДАРМА ІСІНДЕГІ ЗАҢ ТЕРМИНДЕРІНІҢ ЛИНГВОМӘДЕНИ ЖӘНЕ ҚҰҚЫҚТЫҚ ЕРЕКШЕЛІКТЕРІ
Authors: Мукашева А. А.
Published: January 2025

Бұл мақалада аударма ісіндегі заң терминдерінің лингвомәдени және құқықтық ерекшеліктері зерттеледі. Зерттеу барысында құқықтық мәтіндердегі терминологияның мәдени контексті мен аудармадағы рөлі тереңінен талданды. Зерттеу әдістері ретінде сауалнама, фокус-топтар және контент-талдау әдістері қолданылды.Сауалнама нәтижелері құқықтық терминологияның мәдени контекстін ескеру қажеттілігін 80%-бен көрсетсе, студенттердің құқықтық мәтіндерді аударуда кездесетін қиындықтарды сезінуі 70%-ды құрады. Фокус-топтарда қатысушылар құқықтық аудармадағы мәселелерді анықтап, оларды шешу жолдарын талқылады. Контент-талдау әдісі арқылы 50-ден астам құқықтық мәтіндерден мысалдар жинап, терминдердің қолданылу жиілігі мен аудармадағы қиындықтары анықталды. Нәтижесінде, құқықтық терминологияның аударма процесіндегі маңыздылығыжәне оның мәдени аспектілері тереңірек түсінілді. Зерттеу нәтижелері құқықтық аударма саласындағы білім мен тәжірибені байытуға, сондай-ақ аударма сапасын арттыруға бағытталған ұсыныстар жасауға мүмкіндік берді. Студенттердің құқықтық терминологияны аударудағы қызығушылығы мен қажеттіліктері, құқықтық мәтіндердің мәдени контекстін ескере отырып, аударма процесін жетілдіруге ықпал етеді. Бұл зерттеу құқықтық аударма саласындағы мамандар мен студенттер үшін құнды ресурс болып, олардың кәсіби біліктілігін арттыруға көмектеседі. Сонымен қатар, құқықтық аудармадағы мәдени кедергілерді жеңу үшін қажетті білім мен дағдыларды дамыту маңызды. Зерттеу нәтижелері құқықтық мәтіндерді аударудағы қиындықтарды жеңу үшін жаңа әдіс-тәсілдерді ұсынуға мүмкіндік береді. Бұл жұмыс құқықтық аударма саласындағы болашақ зерттеулер үшін жаңа бағыттар мен мүмкіндіктерді ашуға ықпал етеді.
PENGARUH KARAKTERISTIK INDIVIDU TERHADAP FIT TO WORK
Authors:   Universitas Kadiri, Kediri, Jawa Timur, Mirasa Yudied Agung ,   Universitas Kadiri, Kediri, Jawa Timur
Published: January 2025

Background: Fit to work, or an individual's ability to perform job tasks effectively and safely, especially in jobs that require high concentration and physical skills such as heavy equipment operators, is influenced by several important characteristic factors, including age, sleep duration, and nutritional status.The objective of this study was to determine the influence of individual characteristics of heavy equipment operator workers on their fit to work.

Subjects and Methods: This study employed an observational analytic design with a cross-sectional approach. The research was conducted at the Bagong Dam Project, Trenggalek, PT PP area, with using a total sampling technique of 48 heavy equipment operator workers. The independent variables were age, sleep duration, and nutritional status of workers, while the dependent variable influenced was fit to work. Data was collected through questionnaires and medical examinations. Data analysis was performed using logistic regression analysis at a significance level of 0.05.

Results: The results indicate that age (p<0.782) does not significantly influence "fit to work" status, whereas sleep duration (p>0.037) demonstrates a significant impact. Nutritional status (p<0.488) shows no significant effect.

Conclusion: It is recommended that the company focus on regulating adequate sleep for workers to improve health and safety at work.
ISCHEMIC HEART DISEASE: THE IMPACT OF OTORHINOLARYNGOLOGICAL PATHOLOGY ON THE PATIENTS’ QUALITY OF LIFE
Authors:   Belarusian State Medical University, P. A. Zatoloka , E. S. Tarasik ,   Republican Scientific and Practical Center Cardiology, N. V. Zatoloka ,   Republican Scientific and Practical Center Cardiology, O. I. Rodionova ,   Belarusian State Medical University
Published: January 2025

Assessment of the quality of life is a simple and reliable method for assessing the general well-being of a person, which is useful in assessing the clinical and social effectiveness of various methods of prevention, treatment and rehabilitation. Objective. To determine the impact of chronic pathology of the ear, pharynx, nose and larynx on the quality of life of patients suffering from chronic ischemic heart disease. Material and methods. The study involved 103 patients who were hospitalized in the healthcare institution “4th City Clinical Hospital named after N.E. Savchenko” of Minsk. The survey was conducted using the general questionnaire SF-36. The inclusion criteria for the study were chronic ischemic heart disease and chronic otolaryngological pathology. Results. Chronic diseases of the ear, throat, nose and larynx in combination with chronic ischemic heart disease have a significant impact on the quality of human life, causing a decrease in the value of the integral indicator of the physical component of health to 64.7±13.2 and the psychological component of health to 60.1±13.1. The most significant emotional impact on the quality of life of a person is provided by the combination of chronic ischemic heart disease with chronic pharyngeal pathology, which is confirmed by the maximum gap between the indicators of the physical component of health (75.2 ± 10.3) and psychological (62.2±13.7), which amounted to 13 points. Conclusion. Chronic diseases of the nose and paranasal sinuses have the most significant negative impact on the quality of life of patients with chronic ischemic heart disease (PH – 60.2±13.8, MH – 51.3±11.7), namely, chronic polypous rhinosinusitis (PH – 61.0±11.2, MH – 50.3±10.6) and chronic purulent rhinosinusitis (PH – 57.1±13.6, MH – 47.6±13.1).
STEP-BY-STEP DIAGNOSIS OF CARDIAC AMYLOIDOSIS: FROM SUSPICION TO VERIFICATION
Authors:   City Clinical Hospital of Emergency Medical Care, A. A. Bondareva , E. M. Balysh ,   Belarusian State Medical University, T. V. Statkevich ,   Belarusian State Medical University, E. B. . Petrova ,   Belarusian State Medical University, O. M. Shabunevich ,   City Clinical Hospital of Emergency Medical Care, D. S. Moiseenko ,   City Clinical Hospital of Emergency Medical Care, N. B. Kononchuk ,   Belarusian State Medical University
Published: January 2025

The article analyzes the modern view on the algorithm for the diagnosis of amyloid cardiomyopathy and the role of cardiovascular magnetic resonance imaging in it. A step-by-step diagnosis of AA amyloidosis of the heart is presented using a clinical case as an example. The course of the disease was characterized by worsening of the symptoms of heart failure in combination with persistent increase in troponin levels, pseudo-infarction pattern on the electrocardiogram, and unexplained myocardial hypertrophy according to echocardiography. In order to clarify the nature of the myocardial damage, a cardiovascular MRI was performed, the results of which revealed signs of storage disease. In order to confirm amyloidosis, a histological examination of a biopsy of the oral mucosa was performed.
RISK FACTORS FOR PRIMARY HEART TRANSPLANT DYSFUNCTION
Authors:   Republican Scientific and Practical Center of Cardiology, A. V. Valentsiukevic , Y. A. Mishchanchuk ,   Republican Scientific and Practical Center of Cardiology, A. M. Troshyna ,   Republican Scientific and Practical Center of Cardiology, Y. A. Rahouski ,   Republican Scientific and Practical Center of Cardiology, U. G. Yakusheva ,   Republican Scientific and Practical Center of Cardiology, Z. S. Suponenko ,   Republican Scientific and Practical Center of Cardiology, E. A. Grigorenko ,   Republican Scientific and Practical Center of Cardiology,   Belarusian State Medical University, N. P. Mitkovskaya ,   Republican Scientific and Practical Center of Cardiology,   Belarusian State Medical University
Published: January 2025

Heart transplantation is the treatment of choice in case of identifying objective signs of severe chronic heart failure (CHF), refractory to drug therapy, inability to perform surgical reconstructive interventions due to their extremely high risk. Heart transplantations have been performed in the Republic of Belarus since 2009 and by the beginning of 2023, more than 500 such operations have been performed. The number of operations performed in the world is growing every year [1, 2]. The progress of high-tech medical care has improved survival after orthotopic heart transplantation (OHT) provided to patients with end-stage CHF over the past decade. Nowadays, the annual survival rate in the world is 90%, the five-year survival rate is equal to 75% [3]. Acute cellular and humoral rejection, infectious and surgical factors are the main causes of death among patients in the early period after OHT, but primary graft dysfunction (PGD) is the leading predictor of death. Nowadays, the hospital mortality of patients after OHT complicated by PGD stays extremely high and averages 30%. The frequency of primary graft dysfunction according to literature data ranges from 2.3% to 28.2%. Such a wide range of occurrence of this complication appears because of different approaches to diagnosis and criteria for diagnosis in various transplant centers [4]. The review article presents the criteria for the diagnosis of primary graft dysfunction, the classification of this condition and describes the main risk factors for the development of primary graft dysfunction on the part of both the donor and the recipient. Some results of our own research are presented in this article.
SYSTEMATIC REVIEW AND META-ANALYSIS OF THE EFFECTIVENESS OF COENZYME Q10 FOR THE PREVENTION OF POSTOPERATIVE COMPLICATIONS DURING CARDIAC SURGERY
Authors:   Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, A. V. Kotovich , A. P. Yakimchuk ,   Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, I. A. Makhanovsky ,   Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, O. O. Rummo ,   Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, A. M. Dzyadzko ,   Minsk Scientific and Practical Center for Surgery, Transplantology and Hematology, L. V. Rachok ,   Belarusian State Medical University
Published: January 2025

This article presents the data from a systematic review and meta-analysis of the effectiveness of coenzyme Q10 in the framework of preabilitation. The outcomes assessed included: CK-MB level, cardiac index (CI) value 24 hours after intervention, duration of hospitalization, hsTroponin level and degree of vasopressor support 24 hours after cardiac surgery. Due to many limitations, the meta-analysis has not shown the effectiveness of coenzyme Q10, which requires investigations of proper quality for a more detailed study of this drug.
Developments on a 22 GHz microwave radiometer and reprocessing of 13-year time series for water vapour studies
Authors: Bell Alistair , Sauvageat Eric , Stober Gunter , Hocke Klemens , Murk Axel
Published: January 2025

Abstract. Long-term observations of water vapour in the middle atmosphere are important for climate studies and predictions, chemical and dynamical process studies, and modelling certain weather events with implications for surface conditions. Measurements from an instrument making middle-atmosphere water vapour observations near Bern, Switzerland – named MIAWARA (MIddle Atmosphere WAter vapour RAdiometer) – have been completely reprocessed since 2010. This has comprised of a new calibration which has been integrated into the framework for the calibration of other University of Bern radiometers and a new retrieval algorithm. The installation of a new spectrometer on the instrument has also allowed the comparison and correction of past observations. We present these corrected measurements and their subsequent analysis against data from Aura's Microwave Limb Sounder (MLS). The comparison shows that the corrected spectra yield more consistent values of water vapour mixing ratio between MIAWARA and Aura MLS, with a lower standard deviation of differences at all heights and a reduced bias between the two instruments at pressure (height) levels below (above) 0.3 hPa.
Climate change risks illustrated by the Intergovernmental Panel on Climate Change (IPCC) “burning embers”
Authors: Marbaix Philippe , Magnan Alexandre K. , Muccione Veruska , Thorne Peter W. , Zommers Zinta
Published: January 2025

Abstract. The completion of the Sixth Assessment Cycle of the Intergovernmental Panel on Climate Change (IPCC) provides a unique opportunity to understand where the world stands on climate-change-related risks to natural and human systems at the global level, as well as for specific regions and sectors. Since its Third Assessment Report (AR3), released 2 decades ago, the IPCC has developed a synthetic representation of how risks increase with global warming, with risk levels reflected by the colours used, including shades of yellow and red, which led to the nickname “burning embers”. While initially designed to illustrate five overarching Reasons for Concern, these diagrams have been progressively applied to risks in specific systems and regions over the last 10 years. However, the information gathered through expert elicitation and the resulting quantitative risk assessments have hitherto remained scattered within and across reports and specific data files. This paper overcomes this limitation by developing a database containing all embers from AR3 to AR6 and an associated online “Climate Risks Embers Explorer” (CREE) to facilitate the exploration of the assessed risks. The data are also available in an archive file in a widely accessible format (https://doi.org/10.5281/zenodo.12626976, Marbaix et al., 2024). Important aspects of data homogenization are discussed, and an approach to structuring information on assessed risk increases is presented. Potential uses of the data are explored through aggregated analyses of risks and adaptation benefits, which show that, excluding high-adaptation cases, half of the assessed risk levels increase from a moderate risk to a high risk between 1.5 and 2 to 2.3 °C of global warming, a result which is consistent with the separate assessment of the Reasons for Concern by the IPCC. The database lays the groundwork for future risk assessments and the development of burning embers by providing a standardized baseline of risk data. It also highlights important areas for improvement in the forthcoming Seventh Assessment Cycle of the IPCC, particularly towards the systematic, homogeneous, and structured collection of information on illustrated risk increases; comprehensive coverage of impacted regions; a systematic consideration of adaptation and/or vulnerability levels; and, possibly, the coverage of risks from response measures. In the context of an ever-growing body of literature and knowledge, the facility described herein has the potential to help in synthesizing and illustrating risks across scales and systems in a more consistent and comprehensive way.
Pengembangan Media Pembelajaran Ular Tangga Berbasis Genially Mata Pelajaran Pendidikan Pancasila di Sekolah Dasar
Authors: Yuanta Friendha , Partika Neta Tabhita , Okatavianti Pungki Dwi , Hanantha Murty Tantri Inggrit Galuh , Kurnyawan Achmad Very , Noorwinanda M. Navis Roihan Daru
Published: January 2025

The development of digital technology has made a significant contribution to the world of education, including in the development of learning media. Web Genially is one of the popular media used in learning because it can increase student engagement and motivation to learn. The purpose of this study was to determine the feasibility and effectiveness of developing snakes and ladders learning media for fourth grade elementary school students. The development of the research used the research and development method or Research and Development (R&D). The ADDIE development model with 5 stages, namely: analysis, design, development, implementation, evaluation. Data collection techniques in the study through observation, documentation, and testing. This Web Genially snakes and ladders learning media was validated by material experts, media experts, and limited trials. The implementation of the trial on fourth grade elementary school students, with the results of the implementation of the snakes and ladders game learning media, student learning motivation increased by 66.7% in the aspects of learning activity and learning enthusiasm, while the aspect of student learning motivation interest increased by 70%. Meanwhile, student learning outcomes increased by 40% from 55% of students who achieved scores below the KKM (minimum completion criteria) to 100% of all students achieving scores above the KKM (minimum completion criteria).
FILSAFAT PENDIDIKAN ISLAM DALAM KAJIAN AKSIOLOGI SEBAGAI LANDASAN PENDIDIKAN ISLAM
Authors: Muhammad Yusron Maulana El-Yunusi Nur Lailatul Hidayah LDurrotul Mumtazah
Published: January 2025

Filsafat pendidikan Islam membangun kerangka moral dan etika siswa denganmengintegrasikan ide-ide filosofis Islam. Pendidikan ini berupaya untukmenumbuhkan potensi sosial, moral, dan spiritual selain memberikan informasiintelektual. Sebagai bidang filsafat yang menekankan nilai-nilai, aksiologisangat penting dalam membimbing pendidikan Islam untuk memasukkan etikake dalam aktivitas sehari-hari. Penelitian ini menggunakan metode tinjauanpustaka dengan sumber literatur primer dan sekunder yang relevan.Denganmenggunakan metode ini diyakini pendidikan Islam dapat membuahkan hasil.Hasil penelitian ini menunjukkan bahwa filsafat pendidikan Islam dalamkajian aksiologi sebagai landasan pendidikan islam bertujuan untukmeningkatkan potensi masyarakat dalam berbagai bidang, antara lainintelektual, moral, sosial, dan spiritual, serta mendekatkan manusia kepadaAllah melalui kajian aksiologi. Pengetahuan akademis dan prinsip-prinsipspiritual dipadukan dalam pendidikan Islam untuk memberikan informasi yangbermanfaat bagi dunia dan memperdalam hubungan seseorang dengan Tuhan.
HUBUNGAN KREATIVITAS DENGAN KECERDASAN EMOSIONAL SISWA DI MADRASAH ALIYAHH AL-HUSAINY KOTA BIMA
Authors: Ilfayati Nur , Ibrahim Ibrahim
Published: January 2025

Penelitian ini bertujuan untuk menguji dan mengetahui data-data empirik mengenai hubungan prestasi belajar dan kreativitas siswa dengan kecerdasan emosional secara terpisah maupun simultan. Dalam penelitian ini, penulis menggunakan metode survei dengan pendekatan korelasional terhadap data-data kuantitatif yang diperoleh dari objek penelitian yaitu Siswa Madrasah Aliyah (MA) Al-Husainy Kota Bima. Sampel penelitian ini sebanyak 100 responden dari total populasi 129 siswa. Pengumpulan data dilakukan dengan menggunakan teknik observasi, dokumentasi, dan kuesioner. Jenis analisis yang digunakan adalah analisa korelasi dan regresi yang dijabarkan secara deskriptif. Hasil dari penelitian ini mengungkapkan bahwa terdapat hubungan yang positif dan cukup signfikan antara kreativitas siswa dengan kecerdasan emosi siswa di Madrasah Aliyah Al-Husainy Kota Bima yang tunjukkan dengan nilai Sig. (1 tailed) = 0,000 lebih kecil dari 0,05 (0,000 < 0,05). Dengan koefisien korelasi (r) sebesar 0,447 dan koefisien determinasi (R2) sebesar 20 %. Bentuk hubungan ditunjukkan dengan persamaan regresi Ŷ = 73,426 + 0,435 X, dapat dibaca bahwa setiap kenaikan 1 poin Kreativitas Siswa (X) akan diikuti kenaikkan Kecerdasan Emosional (Y) sebesar 0,435 poin
FORMULASI SIRUP EKSTRAK DAUN MIANA Coleus Scutellariodiaes (L) Benth
Authors: Tjakkudu Mirawati , Nurlina  , Isnayanti
Published: January 2025

Daun miana telah lama digunakan oleh masyarakat dan secara empiris dapat mengobati berbagai macam penyakit, salah satunya digunakan sebagai obat untuk pencernaan yaitu obat maag. Penggunaannya sebagai obat belum memiliki dosis yang pasti dan penggunaanya belum praktis karena harus diolah terlebih dahulu. Oleh karena itu ekstrak daun miana diformulasi menjadi sirup. Bentuk sediaan sirup menjadi pilihan karena bentuknya cair sehingga dapat bekerja dengan cepat menetralkan pH asam lambung dan agar penggunaannya lebih praktis dan efektif. Tujuan penelitian ini adalah menghasilkan sirup ekstrak daun miana yang memiliki sifat farmaseutik yang optimal. Formulasi diawali dengan skrining fitokimia hasil ekstraksi, formulasi sirup dengan variasi konsentrasi madu sebagai bahan pemanis yaitu 40-60%. Kemudian dilakukan evaluasi sifat-sifat farmaseutik seperti organoleptis, penentuan bobot jenis, pH dan viskositas.Hasil yang diperoleh adalah ekstrak daun miana memiliki kandungan kimia alkaloid, fenol dan saponin. Formulasi sediaan sirup dengan bahan tambahan berhasil membuat sirup dengan sifat organoleptik yaitu memiliki warna coklat hingga coklat tua, memiliki aroma khas madu, rasa manis dari madu. Hasil evaluasi sifat farmaseutik yaitu pH 4,932-5,141, bobot jenis 1,143-1,193 g/mL dan viskositas 3,059 â€“ 5,568 P. Ekstrak etanol daun miana dapat diformulasi menjadi sirup
Classification of Student Grading Using Naïve Bayes Method with Under-sampling Approach to Handle Imbalance
Authors: Aziz Alif Abdul , Prasetiyo Budi
Published: January 2025

This study explores the application of the Naive Bayes classification method to predict student grades based on important attributes such as timeliness of assignment submission, attendance rate, and quality of work. This research uses a dataset that includes three attributes, namely timeliness of submission, attendance level in learning, and evaluation of the quality of assignments collected by students. The pre-processing is performed to clean the data, followed by an under-sampling stage to balance the class distribution. Then, the classification model is evaluated and tested using specific data samples to measure prediction accuracy. The results showed a significant improvement in model accuracy after applying under-sampling, highlighting the importance of handling data imbalance in predictive analysis. The implications of these findings are not only relevant in the context of higher education, but also offer opportunities for further development in data-driven decision-making in various fields.
A Discourse on the History and Impacts of the Ogbunigwe Bomb on the Nigeria Civil War, 1967-1970
Authors: Ogbonna Morgan
Published: January 2025

The history of the Nigeria/Biafra war is berserk with many tantrums that spill from the imagination of the people who tell the story. The objectivity or subjectivity of the author’s account spill from the side he has decided to domicile his thought and augments, but to any discerning mind, the war was one fought by the lgbos in present day Nigeria to survive as a people. Part of what makes modern warfare is the kind of ammunition used in the execution of the war. The Biafran soldiers were not privileged to acquire some of these modern ammunitions as they were denied by the western powers that supported the Nigeria government basically because of their economic interests. The Biafrans, in a bid to protect themselves and survive, formed a Research and Production unit (RAP). It was this unit, populated by young Biafran scientists that came up with the idea of the Ogbunigwe bomb. By the end of the war, this bomb had become a nightmare to Nigeria and their allies. This paper will explain the origin of the Ogbunigwe bomb, how it got its name, its impact in the war and how Nigeria failed to cash-in on this innovation after the war. This work intends to fill this gap in literature and add to the discourse in the historiography of Biafra wartime domestic weapon development. The findings show that the Ogbunigwe bomb was borne out of necessity for the Biafrans to defend themselves in the face of imminent extermination by the Nigeria government through the existing political class and the army. The methodology for this paper is purely qualitative and the sources are derived from primary and secondary materials.
ЕКОЛОГІЧНА СВІДОМІСТЬ У ЗБІРЦІ «МИСЛИВСЬКІ УСМІШКИ» ОСТАПА ВИШНІ: ВІДОБРАЖЕННЯ ВЗАЄМОДІЇ ЛЮДИНИ І ПРИРОДИ
Authors: УРИСЬ Т. Ю. , ОНАЦЬКА О. В.
Published: January 2025

У статті з позицій екокритики проаналізовано «Мисливські усмішки» Остапа Вишні, в яких автор з гумором та іронією розкриває глибокі питання взаємодії людини з природним середовищем. Ця серія коротких гумористичних оповідань зображує сцени мисливських пригод, описи природи та супутні традиції полювання. За поверхневою легкістю та жартівливою формою ховаються глибокі роздуми про людину, її взаємодію з природою, а також про суспільні реалії та особисту свободу в умовах радянської дійсності. Усмішки вирізняються тонким гумором, іронією та живописністю образів, що відтворюють природу України та характер її народу. У гуморі письменника виявляється прихований протест проти знищення національної ідентичності та обмеження свободи слова, що робило його твори важливим елементом культурного опору тоталітарній системі. У збірці окреслено особливості формування екологічної свідомості читачів, розглянуто взаємозв’язок між людською діяльністю (полюванням, рибальством) та екологічною системою, де природа постає як самодостатня, самоцінна та потребує бережного ставлення. У «Мисливських усмішках» Остап Вишня утверджує природоцентричну екологічну свідомість, підкреслюючи, що природа є найбільшою цінністю для людства, тож люди мають дбати про гармонійне співіснування з нею та підтримувати екологічний баланс. Екоцентричність світогляду автора виявляється у відтворенні позитивних образів природи та негативних образів браконьєрів, що створює відповідні наративні стратегії, спрямовані на любов до природи, гармонізацію відносин людини і довкілля. Тварини у творах постають не просто як здобич, а як символи природного балансу та гармонії, що закликають до поваги і відповідальності. Засуджує письменник дії браконьєрів, їх згубний вплив на довкілля. Автор через комічні ситуації та перебільшення звертає увагу на серйозні наслідки бездумного ставлення до природи, актуалізуючи питання відповідальності людини перед нею. Підкреслено, що творчість Остапа Вишні має вагоме значення у формуванні екологічної свідомості читачів та сприянні культурному усвідомленню необхідності гармонійного співіснування з природою.
ВИКЛАДАННЯ ІНОЗЕМНИХ МОВ В СИСТЕМІ ОСВІТИ УКРАЇНИ: НАЦІОНАЛЬНІ ОСОБЛИВОСТІ ТА МІЖНАРОДНІ СТАНДАРТИ
Authors: ДОЛОЖЕВСЬКА Л. О. , МАРТИНЮК А. П.
Published: January 2025

Стаття розглядає національні особливості викладання іноземних мов в Україні та вплив міжнародних стандартів на розвиток освітніх практик. Автори відмічають перспективи для українських громадян у міжнародному середовищі. У статті згадані українські та зарубіжні вчені, які займалися питанням національних особливостей викладання іноземних мов. Розглядаються основні напрями вдосконалення мовної освіти в Україні, виклики, що постають перед освітянами та державою, і можливі шляхи їх вирішення. Автори виділяють основні методи навчання мов, які набули популярності починаючи з середини ХХ століття, вказують на їх переваги та недоліки, надають рекомендації доцільності їх використання та вибору найефективнішого підходу. Відмічається важлива роль цифровізації освіти, що дозволяє використовувати онлайн-платформи та мультимедійні засоби. Особливу увагу приділено ролі Загальноєвропейських Рекомендацій з мовної освіти (CEFR) у формуванні єдиних підходів до навчання, оцінювання та розробки навчальних програм. Розглянуто ключові аспекти інтеграції міжнародних стандартів у шкільну та вищу освіту, їх вплив на методики викладання, використання сучасних технологій, а також популяризацію міжнародних мовних іспитів. Автори зазначають, що ці стандарти й наукові підходи допомогли створити єдину систему для викладання іноземних мов у глобальному масштабі, забезпечуючи взаємне визнання рівнів володіння мовами та підходів до їх викладання. У статті також окреслено основні виклики, що виникають у процесі впровадження міжнародних стандартів, та перспективи їх подолання. Розглядаються стратегічні напрями вдосконалення мовної освіти та потенційні можливості для її подальшого розвитку. Автори акцентують на важливості гармонійного поєднання традиційних методів із сучасними технологіями для створення ефективної та доступної системи мовного навчання.
Quantum Cryptography for Secure Autonomous Vehicle Networks
Authors: Tejasweeni Pradhan
Published: January 2025

As autonomous vehicle networks evolve, securing them against advanced cyber threats is becoming increasingly crucial. Traditional cryptographic methods are inadequate for these demands. This paper examines quantum cryptography, focusing on Quantum Key Distribution (QKD), to enhance security in these networks. A network architecture incorporating quantum cryptographic protocols, and an outline of the necessary hardware and software are proposed. Simulations demonstrate the advantages of quantum cryptography in ensuring data integrity, confidentiality, and authenticity. However, challenges such as scalability and integration persist. These challenges are discussed, along with suggestions for future research, concluding that quantum cryptography has the potential to significantly improve the security of autonomous vehicle networks.
Seperation Axioms in Micro Semi Pre-Topological Spaces
Authors: P. Sathishmohan
Published: January 2025

The primary objetive of this paper is to introduce a new type of separation axioms namely, micro semi pre-T0, micro semi pre-T1, micro semi pre-T2 and to obtain their properties. Also, the relationship between these spaces with related concepts are investigated.
Introduction:  In 2019, S. Chandrasekar [3] introduction of micro topology as a straightforward expansion from nano topology, emphasizing micro pre-open and micro semi-open sets. H.Z. Ibrahim [6] introduced micro β-open sets in micro topological spaces. In 2020, Hariwan Z. Ibrahim [7] introduced the separation axioms on micro topology with particular focus on micro-open sets. In this paper some new types of spaces are define and study in micro topological spaces namely, micro semi pre T0, micro semi pre T1, micro semi pre T2, using the concept of micro semi pre open sets. Also, the properties of these spaces and the relationship between these spaces with related concepts are found.
Conclusions: In this paper introduces and investigates new types of micro semi pre topological spaces, namely micro semi pre T0, micro semi pre T1, and micro semi pre T2, extending concepts from previous works on micro topology. The properties and relationships of these spaces are explored, shedding light on their separation axioms and connections with related concepts like micro-T0, micro-T1, and micro-T2 spaces. The study presented here not only expands the theoretical framework of micro topology but also provides insights into the interplay between different types of micro topological spaces. Overall, this paper contributes to the ongoing development of micro topology by introducing and analyzing micro semi pre topological spaces, leading the way for further research in this area and potentially finding applications in various mathematical and scientific disciplines.
In Future, connecting separation axioms in topology to the behavior of an RLC circuit within micro topology provides a rigorous mathematical framework to distinguish and analyze different states and transitions. This approach not only enhances our understanding of the circuit’s dynamics but also offers a robust method to explore micro particle interactions and configurations within a topological space.
Using Mining Techniques to Develop a Road Accident Prediction Model
Authors: Varaprasada Rao P
Published: January 2025

A daily tally of accidents is climbing at a frightening pace, paralleling the exponential growth in the volume of automobiles on the street. Given the current high rate of traffic-related events and fatalities, it is crucial for the transportation department to have the capability to envisage the frequency of traffic accidents within a certain timeframe in order to make data-driven choices. In this case, it would be wise to study accident rates in order to utilize that information to develop strategies for lowering them. Although most accidents include some degree of uncertainty, there does seem to be some pattern to the incidents that happen in the same place over time. By utilizing this pattern, ML designs can be constructed for predicting unfortunate incidents and arrive at informed estimations regarding the frequency of mishaps occurring in a specific area. The present study explored the relationships among roadway circumstances, environmental factors, and the number of crashes. A predictive model for accident prediction has been developed by employing the AdaBoost machine learning algorithm. . Various online datasets covering traffic accidents in Bangalore from 2014 to 2017 were used for this research. Public works agencies, contractors, and other sectors of the automotive industry are just a few of the many potential beneficiaries of this study's findings, which may inform more accurate road and vehicle design.
Deep Learning Approaches for Early Detection of Depression using Sarcasm
Authors: Vanita Ganesh Kshirsagar
Published: January 2025

The huge popularity of social media like Facebook, Twitter, WhatsApp and Instagram where most people can share their opinions about other people without any social dishonours. This can lead to people being depressed. Furthermore, sarcastic words have a significant impact on depression levels. As a result, early depression detection is critical. Despite the fact that depression detection was done by using algorithms such as SVC, NB, DT, and LR have been developed using the Twitter dataset and sarcastic statements. However, there is scope for improvement. The proposed model for effectively detecting sarcasm is referred to as " Sarcastic News Dataset and Tweet-based Depression Detection (SNTDD)”. The proposed model for detecting sarcastic remarks in text data uses ensemble Deep learning models and compared it with the machine learning models. The proposed model is used the ensemble model of Deep learning model and the dense layer, the model gives better accuracy and reduce the loss. Additionally, it works on positive sarcastic text to increase performance. The significance of this is that more positive indicates it has a stronger impact on mental health or raises the amount of depression. Sarcasm in study can be difficult to identify as a result of the complex relationship of both positive and negative characteristics. In contrast to signs such as tone or facial expressions, natural language processing addresses a challenge of detecting sarcasm with requiring the use of context markers. In contrast to signs such as tone or facial expressions, natural language processing addresses the difficulty of detecting sarcasm without the need of context markers. The experimental results reveal that the suggested model "Sarcastic News Dataset and Tweet-based Depression Detection (SNTDD)" is tested on the data. The model outperforms deep learning and machine learning algorithms on the news headline dataset, with an accuracy of 97.4%. Consequently, the proposed model received a 94.4% F1 score.
Utilizing LTE to Analyze Recursive Patterns in Prime Divisibility of Polynomial Powers
Authors: J. Choi
Published: January 2025

This paper explores the application of the Lifting The Exponent (LTE) theorem to uncover recursive patterns in prime divisibility within polynomial sequences of the form and , where a, b, and n are integers and p is a prime. The LTE theorem provides a systematic method for calculating p-adic valuations, revealing predictable patterns in divisibility by powers of p as n increases. By applying LTE, we derive concise recursive relations that describe the highest powers of p dividing each term in these sequences, without direct computation of large powers. We present case studies illustrating LTE’s utility in establishing prime power divisibility across exponential terms, enabling efficient analysis of factorization and periodicity in integer sequences. This work highlights LTE’s role in advancing number-theoretic methods for modular arithmetic, cryptography, and the classification of prime-divisibility properties in polynomial expressions, underscoring its value as a foundational tool in modern mathematical analysis.
Mathematical Modeling and Numerical Simulation of Electro Magnetic Wave Interactions with Biological Tissues Across Mobile Communication Generations
Authors: Neel Mani Rangesh
Published: January 2025

This study presents a comprehensive mathematical and statistical analysis of electromagnetic (EM) wave interactions with biological tissues across different generations of mobile communication technologies, from 2G to 5G. Utilizing Maxwell's equations and bioheat transfer principles, we developed numerical models to simulate the propagation, absorption, and biological effects of EM waves within human tissues. Specific Absorption Rate (SAR), penetration depth, power density, and thermal effects were quantified and compared across technologies, revealing significant variations as communication systems evolved to higher frequencies. Our findings indicate that higher frequency waves, typical of 5G technologies, exhibit reduced penetration depth but increased power density and SAR, leading to more localized thermal effects and potentially greater non-thermal biological impacts. The study employs statistical methods to analyze the data robustly, providing insights into the thermal and non-thermal implications of prolonged EM exposure. Through these mathematical models, we aim to enhance the understanding of EM wave-tissue interactions and inform safety standards, contributing to more informed regulatory frameworks as mobile technologies advance. This research underscores the need for ongoing investigation into the health implications of emerging communication technologies and the importance of adapting public health guidelines in response to scientific findings.
Statistical Evaluation of Culinary Tourism Trends and Their Socio-Economic Implications for India
Authors: Adity
Published: January 2025

Culinary tourism in India serves as a significant component of the nation's cultural heritage and tourism industry, offering substantial socio-economic benefits. This paper provides a comprehensive statistical evaluation of the trends in culinary tourism within India and examines their socio-economic implications. Utilizing a combination of descriptive statistics and econometric models, the study analyzes data from tourism databases, surveys, and interviews conducted with tourists and local businesses over the past decade. The findings reveal a robust growth trajectory in culinary tourism, with specific trends indicating a surge in domestic and international tourists engaging in gastronomic experiences. Regression analysis demonstrates that culinary tourism significantly impacts employment, with a particular benefit in rural and semi-urban areas, where traditional cuisines form a cornerstone of the tourist attractions. Furthermore, cluster analysis helps identify key demographic segments that participate in culinary tours, and their spending patterns suggest a positive correlation with increased local economic activities. The paper also explores the role of culinary tourism in promoting sustainable practices by encouraging the use of local produce and traditional cooking methods, which contribute to the conservation of biodiversity and cultural heritage. Policy implications are discussed, emphasizing the need for targeted government support and marketing strategies to enhance the visibility and accessibility of India’s culinary tourism on a global scale. This research not only underscores the economic importance of culinary tourism but also highlights its potential as a tool for socio-economic development, particularly in enhancing community engagement and preserving cultural identity.
Optimization of Convolutional Neural Networks for Detecting Oral Cancer-Induced Bone Invasion: A Genetic Algorithm Approach
Authors: Arya Kala
Published: January 2025

Introduction: For patients diagnosed with oral squamous cell carcinoma (OSCC), determining whether the tumor has penetrated the bone is crucial for therapy planning and surgical procedures. Computed Tomography (CT) imaging is preferred by radiologists due to its high sensitivity and specificity in detecting bone invasion.
Objectives In this study, we present a deep learning-based Convolutional Neural Network (CNN) model, optimized using a genetic algorithm, to automatically detect bone invasion in OSCC cases.
Methods: First, CT-scan images were collected fro  S. M.S. hospital, Jaipur and annotated by the hospital’s experts. Further, all the collected images were changed from Digital Imaging and Communications in Medicine format (DICOM) to Portable Network Graphics (PNG) format as DICOM is very bulky to handle. Finally, GA is used to hyper-tune CNN parameters to get a good CNN architecture. The proposed model is compared with standard models like VGG16, VGG19, ResNet-50, MobileNetV2, DenseNet-121, and ResNet-101.
Results: The proposed model achieved a classification accuracy of 95.6%, outperforming six state-of-the-art transfer learning models, including VGG16, VGG19, ResNet-50, MobileNetV2, DenseNet-121, and ResNet-101.
Conclusions: The results demonstrate the effectiveness of our model in improving bone invasion detection accuracy, providing a valuable tool for clinical decision-making.
Approximate Solution of an Epidemic SIR Model via Laplace Transform and Q-Homotopy Analysis Method
Authors: Lubna Kadhim
Published: January 2025

In this paper, we study an ad-hoc epidemic SIR model governed by the Caputo derivative. We use the Laplace transform and the q- Homotopy analysis method (Lq-HAM) to obtain approximate solutions to the system. We f inally present some numerical simulations using Mathematica to illustrate the qualitative results. Our approach can be used even in the context of construc tive fractional models and other abstract fractional differential systems.
Refining Power Dominator Coloring for Some Special Classes of Graphs
Authors: G. Navamani
Published: January 2025

This study investigates the concept of power dominator equitable coloring in graphs, a variation of graph coloring that combines power dominator coloring with equitable coloring. A power dominator coloring of a graph  is defined as a proper coloring where each vertex power dominates at least one color class, with the minimum number of colors required denoted by the power dominator chromatic number  Equitable coloring, on the other hand, ensures that the size of any two color classes differs by at most one, represented by the equitable chromatic number  Power dominator equitable coloring combines these properties, that every vertex of  power dominates at least one color class while maintaining equitable distribution among color classes and the power dominator equitable chromatic number denoted as  In this paper, we focus on determining  for various special classes of graphs, providing deeper insights into their structural and equitable coloring characteristics. Our results enhance the understanding of power dominator equitable coloring and offer new perspectives for future research in combinatorial optimization and graph theory.
Sentiment Analysis of the Russia-Ukraine War Using Twitter Data based on Hybrid Deep Learning Models
Authors: Snehal Sarangi
Published: January 2025

The Russia-Ukrainian War denotes an ongoing conflict between Russia and Ukraine. When Russia initiated it in February 2014, the primary focus was on whether or not Crimea and the Donbass were officially regarded as parts of Ukraine. After a military build-up on the Russian–Ukrainian border that began in late 2021, the conflict escalated dramatically when Russia initiated its assault of Ukraine on February 24, 2022. The objective of this piece is to investigate how the general population views the situation between Russia and Ukraine. Social media has become a major communication tool these days, and as a result, opinions can be found on sites like Facebook, Instagram, and Twitter. The study uses 11,250 of his tweets from his Twitter account on the conflict between Russia and Ukraine. Machine learning has demonstrated the applicability, strength, and potential of techniques such as object recognition, natural language processing, and image processing. Three feature extraction techniques, TF-IDF (term frequency-inverse document frequency), BoW (bag of words), and N-gram, have been used in the development and testing of our models. The Twitter API is used to build and test hybrid deep sentiment analysis learning models, which integrate support vector machines (SVM), recurrent neural networks (RNN), convolutional neural networks (CNN), and long short-term memory (LSTM) networks. When compared to single models on the Twitter API dataset, the hybrid models particularly the combination of deep learning models and SVM—improved sentiment analysis accuracy.
Generative Models Beyond GANs: Innovations in Image and Text Synthesis
Authors: Manmohan Singh
Published: January 2025

An evolution within generative models has taken place, going beyond Generative Adversarial Networks (GANs) into different structured approaches for both image and text generation. With the rise of advanced non-GAN-based generative models, the aim of this study is to analyse and ultimately compare a brief history and the effectiveness of different models such as VAEs, Diffusion Models, and architectures based on Transformers like GPT and DALL·E to find their strengths in creating high-quality, coherent, and diverse outputs across both visual and text domains. The results reveal the superior stability of diffusion models, the interpretability of VAEs, and the improved contextual understanding gained by transformer-based architectures, allowing us to better understand these models, their advantages and disadvantages, and the potential impact on design for future applications. Additionally, we examine common issues like mode collapse, training instability, and high computational resources requirements, proposing novel solutions to mitigate these challenges. Also, experimental results show that state-of-the-art (SoTA) performance can be achieved not just through GAN architectures but also through non-GAN models, which lend themselves more to diverse uses cases from creative content generation to domain-specific tasks (medical imagery, personalized content creation) much more. Finally, this paper addresses the ethics behind generative models and provides some insights on future development of generative models. The chapter concludes with a discussion of its implications for bridging theoretical and practical aspects in generative modelling, marking a new era in the field.