bluuebunny/crossref_metadata_2025 huggingface dataset:
ОБ ОДНОМ ИЗ ЭТАПОВ ТВОРЧЕСТВА И.С. ТУРГЕНЕВА
Authors: Садулаева М.Х.
Published: November 2024

В статье характеризуется тургеневское творчество с 1850-го по 1856-е годы. Условно его можно разделить на две части (1850 – 1852, 1852 – 1856). В течение1850 года писатель работал над двумя рассказами: «Певцы» и «Свидание». В это же время из-под его пера вышли две пьесы: «Разговор на большой дороге» и «Провинциалка», посвященные театральным звездам – Прову Садовскому и Надежде Самойловой. После смерти матери писатель приступил к рассказам о представителях народа. Далее следует повесть «Три встречи», главная мысль которой заключается в том, что человеческое счастье не всегда зависит от тех причин, которые лежат на поверхности. Произведения «Муму» и «Постоялый двор» рассказывают о трагической судьбе крепостных крестьян, жертвах произвола их хозяев. В отличие от ранних рассказов проблема теперь поставлена иначе и обнаруживается меньшая степень вмешательства в сюжет со стороны автора-рассказчика. В 1852 году писатель запланировал работу над романом «Два поколения», однако эта идея не нашла воплощения. «Два поколения» не имеют ничего общего с «Отцами и детьми», поскольку цели этих двух произведений были совершенно разными. В 1853 и 1854 годах следуют повести «Два приятеля» и «Затишье», в которых автор повествует о жизни в глубинке русской деревни. Это простые истории, проникнутые лирическим реализмом. В «Переписке» и «Якове Пасынкове» мы наблюдаем концентрацию внимания Тургенева не на развитии социальных типов, а на создании новой фигуры в русской литературе – знаменитого «лишнего человека». «Рудин» является центральным произведением и кульминацией долгого пути писателя к почти радикальному преобразованию его творческого метода.
СТАНОВЛЕНИЕ ЛИЧНОСТИ ФЕДОРА МИХАЙЛОВИЧА ДОСТОЕВСКОГО
Authors: Хунарикова П.Х.
Published: November 2024

Актуальность исследования обусловлена высоким интересом к жизни и творчеству Федора Михайловича Достоевского у каждого поколения читателей и наличием глубинной связи его духовных исканий с нравственными проблемами, волнующими наших современников. Ф.М. Достоевский как великий мыслитель, писатель, психолог сформировался во многом благодаря интенсивному и непрерывному самообразованию на протяжении всего жизненного пути. Немаловажную роль в формировании Достоевского как личности сыграли родители и его супруга, Анна Сниткина, которая была его помощницей и стенографисткой. Ф.М. Достоевского невозможно понять и оценить во всей сложности и оригинальности без обращения к изучению роли библейских и святоотеческих источников в его личностном и творческом развитии. В его произведениях наиболее ярко проявился духовно-нравственный вектор всей русской литературы. Его высокая эрудиция была подмечена многими исследователями, отметившими различные аспекты творчества писателя. Интенсивное, разноплановое и глубокое самообразование Ф.М. Достоевского сыграло важнейшую роль в становлении его личности, формировании его мировоззрения, а также в своеобразии его творчества.
CЛУЧАЙНЫЕ НАХОДКИ ИЗДЕЛИЙ ИЗ КАМНЯ ЭПОХИ ЭНЕОЛИТА - РАННЕГО БРОНЗОВОГО ВЕКА С ТЕРРИТОРИИ ЧЕЧНИ
Authors: Бурков С.Б. , Бекмурзаев С.-Х.Х.
Published: November 2024

В статье приведены обобщенные данные по случайным находкам изделий из камня эпохи энеолита и раннего бронзового века, найденным на территории Чечни. Типологически они разделены на орудия, предназначенные для работы, и престижные предметы с сакрально-воинской символикой. Рабочие орудия могут быть отнесены к четырем группам: клиновидные тесла, клиновидные топоры, топоры с т.н. «желобчатым перехватом», клиновидные топоры с проушиной. В исследовании были использованы различные виды источников, в том числе – данные полевых отчетов, ранее не применявшихся для этой цели. В результате составлена сводка предметов, известных к настоящему времени, найденных случайно, которые могут быть отнесены к эпохе энеолита и раннему бронзовому веку. Это будет способствовать формированию у исследователей более полного и объективного представления о развитии древних обществ на территории Восточного Предкавказья.
ВЛИЯНИЕ ПОЛИТИЧЕСКОГО ИСЛАМА В АРАБСКИХ СТРАНАХ И ПОЛИТИКА САУДОВСКОЙ АРАВИИ
Authors: Хатуев И.З.
Published: November 2024

В статье авторы попытались раскрыть основные причины роста влияния вульгарного ислама на внутреннюю и внешнюю политику стран Арабского Востока, охарактеризовать новый этап политико-культурного и социально-экономического развития арабских стран примерно с конца 60-х годов ХХ века, раскрыть процесс исламизации различных сторон общественной жизни этих стран (при том, что во многих из них процессы секуляризации достигли значительного уровня), активизации религиозных организаций, повышению роли ислама в межгосударственных отношениях, выявить роль в этих процессах Саудовской Аравии, наиболее активно проводившую свой внешнеполитический курс, начиная с конца 60-х-начала 70-х годов ХХ века.
ПСИХОЛОГИЧЕСКАЯ АДАПТАЦИЯ МОЛОДЁЖИ КАК ЦЕЛЬ МОЛОДЁЖНОЙ ПОЛИТИКИ
НА ПРИМЕРЕ ЧЕЧЕНСКОЙ РЕСПУБЛИКИ
Authors: Эльбиева Л.Р. , Албулатова Р.Р.
Published: November 2024

Психологическая адаптация молодёжи в Чеченской Республике – это важный процесс, играющий ключевую роль в ин-теграции молодёжи в социальную и эко-номическую жизнь региона. В данной статье рассматриваются существую-щие государственные программы, направленные на поддержку молодёжи, их эффективность, а также проблемы и барьеры, с которыми сталкивается мо-лодёжь в процессе адаптации. Опираясь на статистические данные и примеры успешных программ, предлагаются ре-комендации по улучшению инициатив в этой области.
ИССЛЕДОВАНИЕ КОНТЕНТ-МАРКЕТИНГА КАК ИНСТРУМЕНТА ЦИФРОВОГО МАРКЕТИНГА
Authors: Закриева З.М.
Published: November 2024

Настоящая статья посвящена обоснова-нию системного и стратегического под-ходов к контент-маркетингу как ин-струменту цифрового маркетинга. В результате исследования обоснованы системный и стратегический подходы к контент-маркетингу. Охарактеризованы типы контента и его составляющие. Анализ исследований отечественных и зарубежных учёных свидетельствует об отсутствии системного подхода к кон-тент-маркетингу и контент-стратегии, ограничении возможностей применения контент-маркетинга, неучёте этапов пути потребителя в контент-маркетинге. Сделаны выводы о том, что правильный выбор концепции контента в соответствии с запросами потребите-лей напрямую влияет на увеличение тра-фика на веб-сайт бренда, появление но-вых пользователей, подписчиков, клиен-тов, удержание и повышение лояльности имеющихся клиентов. Перспективами дальнейших исследований в данном направлении является систематизация этапов контент-стратегии с учётом планирования целевых впечатлений кли-ентов по этапам пути потребителя.
ФОРМИРОВАНИЕ СИСТЕМЫ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ ПРЕДПРИЯТИЯ В УСЛОВИЯХ ЦИФРОВИЗАЦИИ РЫНКА ТРУДА
Authors: Сулумов C.Х. , Дадаев Я.Э.
Published: November 2024

Построение системы экономической безопасности предприятия в текущих условиях хозяйствования является обя-зательным шагом для сохранения бизнеса вследствие высокой динамичности внеш-них и внутренних процессов. На экономи-ческую безопасность предприятия суще-ственно влияет цифровизация рынка труда и цифровая трансформация само-го предприятия, что является следстви-ем всё более активного применения циф-ровых технологий. Цифровая трансфор-мация создаёт новые возможности для улучшения конкурентных позиций пред-приятия. В то же время такие измене-ния должны быть учтены в процессе формирования системы экономической безопасности предприятия, так как со-провождаются возникновением новых угроз. Обосновано содержание основных составляющих системы экономической безопасности предприятия исходя из характера цифровизации рынка труда.
АКТУАЛЬНОСТЬ ГОСУДАРСТВЕННО-ЧАСТНОГО ПАРТНЁРСТВА ПРИ ПРОВЕДЕНИИ ГЕОЛОГО-РАЗВЕДОЧНЫХ РАБОТ НА НЕФТЬ И ГАЗ В ЧЕЧЕНСКОЙ РЕСПУБЛИКЕ
Authors: Хаджиева М.М. , Плис С.А. , Идигова Л.М.
Published: November 2024

В статье раскрыта актуальность госу-дарственно-частного партнёрства при проведении геолого-разведочных работ на нефть и газ в Чеченской Республике. Авторами выделяются основные принци-пы, признаки и модели реализации про-ектов государственно-частного парт-нёрства совместно с критериями, кото-рые позволяют выделить ту или иную модель; выявляются преимущества госу-дарственно-частного партнёрства как для публичного, так и для частного сек-тора, а также имеющиеся недостатки данного вида сотрудничества с возмож-ными мероприятиями по их устранению. В статье раскрыт ряд проблем в нефте-газовой отрасли Чеченской Республики, обоснована потребность интенсивного развития в республике геолого-разведочных работ на нефть и газ. Реа-лизация крупных и значимых проектов в нефтегазовой отрасли напрямую зави-сит от эффективного взаимодействия государства и частного сектора. В статье раскрыта одна из главных при-чин убыточности нефтегазовой отрасли Чеченской Республики, обоснована по-требность интенсивного развития в республике геолого-разведочных работ на нефть и газ. Раскрыто содержание государственно-частного партнёрства, перечислены основные этапы партнёр-ства, выработаны рекомендации для успешного использования данного меха-низма в Чеченской Республике.
В статье сделан вывод, что через эффективное государственно-частное партнёрство, прозрачное регулирование и целенаправленную региональную поли-тику можно достичь устойчивого раз-вития нефтегазовой промышленности, приносящей пользу не только текущему поколению, но и будущим.
МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ СОВЕРШЕНСТВОВАНИЯ РЕГИОНАЛЬНЫХ СИСТЕМ
Authors: Чажаев М.И. , Чажаева М.М.
Published: November 2024

Проектирование региональных систем становится всё более актуальной зада-чей в условиях современной экономики, требующей эффективных моделей управления и устойчивого развития тер-риторий. В данной статье рассматри-ваются методологические подходы к проектированию региональных систем, основанные на анализе ресурсных и ин-ституциональных контекстов. Особое внимание уделяется процессам интегра-ции различных факторов в единое си-стемное управление для достижения устойчивого роста и стабильности. Предложены основные принципы диффе-ренциации региональных систем, а так-же инструменты анализа и прогнозиро-вания.
Tinjauan Yuridis Normatif Perlindungan Anak dalam Perspektif Konsep Hadhanah dan Undang-Undang Nomor 35 Tahun 2014
Authors: Niken Sylvia Puspitasari  , Muhammad Giri Herlambang  , Alwan Abidin  , Riyanmar Fayat Zabihullah
Published: November 2024

This study aims to explain the concept of Islamic law through the concept of hadhanah in the effort to protect Indonesian children. In Law No. 35 of 2014, which has been ratified by the government, it is emphasized that the protection of Indonesian children from all forms of discrimination and violence is a priority. Since the majority of people in Indonesia are Muslim, Islamic values and standards certainly influence the upbringing and education of children. Child neglect is one form of maltreatment and violence experienced by children and constitutes a violation of children's human rights, whether intentional or unintentional. A normative juridical research method, which is based on library research, is used as the research methodology. Based on the research findings, Islamic law itself teaches how to protect children, and the government, society, and parents have a very important role in establishing policies that benefit children and uphold human rights. The results of this study indicate that Law No. 35 of 2014 has fulfilled the concept of hadhanah in Islamic jurisprudence and has involved all parties in protecting children. This law also explains child protection in the fields of religion, health, education, and social matters.
Respon Mahasiswa dan Generasi Z Tentang Pernikahan Beda Agama
Authors: Mhd Isa  , Mursal Mursal
Published: November 2024

The aim of this research is to understand the views of students and Generation Z regarding interfaith marriages, as well as to highlight the problems that arise in connection with this. The research method used is a descriptive quantitative approach, which focuses on the correlation between factors related to interfaith marriages. This method uses data obtained from surveys or experiments, with a population of 300 people, using a quota sample method or random sampling. In general, the results of research related to interfaith marriages show that the majority of respondents have an understanding of the regulations for interfaith marriages and the potential for conflict in the household due to differences in religious views between partners. However, the majority of ulama in Indonesia prohibit interfaith marriages absolutely based on the teachings of the Islamic religion and the laws in force in Indonesia. Therefore, even though interfaith marriages are recognized as a human right, it is important for couples who want to marry partners from different religions to pay attention to applicable legal regulations and procedure.
Talfīq Mażhab dan Kebutuhannya dalam Fatwa Kontemporer (Telaah atas Pandangan Wahbah al-Zuhailī)
Authors: Negara Muhammad Abduh
Published: November 2024

Talfīq of maẓhab (combining several madhhabs in a single practice) is one of the important issues discussed by fiqh scholars, especially in the last few centuries. Some accept it, while others reject it. Various studies have been presented on this topic by many scholars and researchers. However, in this research, the author tries to connect the issue of talfīq of madhhab with the need for fatwas in the contemporary era and specifically examines the views of Wahbah al-Zuhailī, a very famous contemporary fiqh scholar, on this topic. The research refers to various writings and fatwas from Wahbah al-Zuhailī, then analyzes them based on fiqh, ushul fiqh, and fatwa principles as explained by scholars. Additionally, the author strengthens the analysis by providing examples of fatwas from other contemporary scholars and fatwa institutions, which result in the emergence of talfīq of madhhab. This demonstrates that talfīq of madhhab has been accepted by various groups, even though they sometimes do not mention it explicitly. The results of the research show that Wahbah al-Zuhailī accepts the concept of talfīq of madhhab, with certain conditions, and acknowledges its urgency in fatwas in the contemporary era.
Implementasi Fatwa DSN-MUI No. 85/ DSN-MUI/XII/2012 Tentang Waad pada Akad Ijarah Muntahiya Bittamlik di BMI Makassar
Authors: Dahri Muh. Ihsan , Masse Rahman Ambo , Andi Natsif Fadli
Published: November 2024

Banking functions primarily as an intermediation institution that collects and channels funds as credit. Sharia Banks guarantee Sharia compliance in every transaction. Among their activities is ijarah financing and its derivative, Ijarah Muntahiya Bittamlik (IMBT). This research aims to: (1) Understand the concept of waad in the MUI Fatwa and the IMBT contract at Bank Muamalat; (2) Assess the suitability of the MUI fatwa regarding waad on IMBT at Bank Muamalat; (3) Identify challenges and obstacles to implementing the fatwa. This field research, conducted at Bank Muamalat Indonesia's Makassar Branch, employs normative and qualitative methods. Findings reveal that the waad concept in the MUI fatwa is binding and must be implemented if conditions are met, and this applies to IMBT contracts at Bank Muamalat. The IMBT implementation aligns with MUI Fatwa principles and the Financial Services Authority. Challenges include limited public knowledge, fluctuating costs, and customer apathy. The research provides insights and implications for Islamic banking and its customers, serving as a reference for practitioners, policymakers, and researchers. It encourages future research to explore alternative methodologies, enhancing the body of knowledge and yielding more robust outcomes.
Delik Aduan Tindak Pidana Perzinahan dalam Pandangan Hukum Pidana dan Hukum Islam
Authors: Sirajuddin Sirajuddin , Risdayani Risdayani , Dewi Indriani
Published: November 2024

This research is driven by the recognition that adultery represents a criminal offence that challenges the values of decency and social order, and has the potential to have adverse implications for individuals, families, and society at large. The objective of this research is to examine the provisions pertaining to complaints filed by victims of adultery, with a particular focus on the comparison between Indonesian national criminal law and Islamic law (fikih jinayat). The research employs a qualitative approach with a normative focus, utilising an inductive analysis of data gathered from legal literature. The findings indicate that Islamic law offers greater latitude in filing complaints of adultery, extending to both victims of adultery crimes and those who have suffered harm. Additionally, it imposes more severe penalties. In contrast, national criminal law prioritizes the protection of victims' rights, while also providing for the mitigation of punishment for the family of the perpetrator of adultery crimes. The findings of this research demonstrate the necessity for a comprehensive understanding of the distinctions between these two legal systems to develop a national criminal law that aligns with Islamic law in the enforcement of adultery laws.
RESEARCH ON THE INTEGRATION OF IDEOLOGICAL AND POLITICAL EDUCATION INTO BUSINESS ENGLISH TRANSLATION TEACHING
Authors: Li Huimin
Published: November 2024

The development of "Curriculum-based Ideological and Political Education" (CIPE) is in full swing. As part of an all-round educational approach, the integration of ideological and political education into the Business English Translation course is both necessary and significant. How to effectively embed ideological elements into business English translation teaching has become a pressing question for educators in this field. Based on CIPE theories and translation teaching theories, and considering the specific characteristics of the Business English Translation course, this paper explores the integration pathways from four perspectives: syllabus design, teaching content, teaching methodology, and evaluation mechanisms.
KEYWORDS: Curriculum-Based Ideological and Political Education (Cipe), Business English Translation Teaching, Integration Pathways
The efficacy and safety of vitamin D supplementation in women with polycystic ovarian syndrome undergoing ovulation induction using letrozole
Authors: Swadi Asma A , Saheb Hussein A , Sultan Ahmed M
Published: November 2024

Aim: To examine the role of vitamin D supplementation in PCOS women who failed to ovulation induction by letrozole in previous trials.
Materials and Methods: The study included 30 women diagnosed with PCOS and were complaining from primary infertility. Those women had previously been treated for 3 months with letrozole to induce ovulation, but there was failure of response to treatment. Those 30 women were selected from a pool of women who were evaluated for serum vitamin D and were proved to have vitamin D deficiency (<20 ng/ml).
Results: Daily monitoring of ovulation by transvaginal ultrasound was done staring from day 7 till day 25 of the cycle. The main outcomes were the number and the size of follicles. In addition, they were followed up for evidence of pregnancy using biochemical serum and urine examination.
Conclusions: When women with polycystic ovarian syndrome are treated with letrozole, vitamin D supplementation enhances both the result of ovulation induction and pregnancy.
Anti-money laundering in the age of cryptocurrencies
Authors: Carucci Céline
Published: November 2024

This thesis explores the growing challenges of combating money laundering in the face of emerging technologies like cryptocurrencies, artificial intelligence, and blockchain. It examines how traditional anti-money laundering (AML) frameworks in the U.S. and the EU struggle to address these challenges, particularly the anonymous and decentralized nature of digital currencies. By analyzing recent regulatory developments in both regions, the thesis aims to assess how effectively new measures target digitalized money laundering and whether they address the gaps in existing AML approaches.
Prospects for applying deep learning models in economics and finance
Authors:   National Aviation University, Naumov Oleksandr , Naumova Olha ,   National Aviation University
Published: November 2024

The article is devoted to the study of the prospects of applying deep learning models in the field of economics and finance. The main types of deep learning architecture that have been applied in the economic sphere are identified. Based on the analysis of publications, the main areas of application of deep learning models in economics are identified, namely in the areas of macroeconomics and microeconomics for analyzing consumer behavior, pricing strategies, and competition. It is noted that most of the work on using machine learning models for market analysis relates to financial markets rather than commodity markets. More deep learning models must be developed for most goods and services markets. It has been established that the financial sector is one of the critical areas for using deep learning models. In the financial sector, deep learning is used for analyzing the situation in the financial sector and forecasting financial market indicators (stock prices, exchange rates, and cryptocurrencies); analysis of financial statements; analysis and management of risks (credit risk analysis, fraud detection, securities portfolio risk analysis, securities portfolio optimization), etc. The following areas of application of deep learning models are considered: financial market forecasting, foreign exchange market forecasting, algorithmic trading, credit risk analysis and assessment, and fraud detection. The author identifies several problems and limitations of using deep learning models in economics and finance: lack of research comprehensiveness; problem of bringing to a single period; problem of availability and quality of source data; need for large amounts of data for model training; complexity of interpretation; risk of overfitting models; limited computing resources. It is concluded that deep learning has proven to be effective in forecasting economic indicators by analyzing large and complex data sets to identify patterns and create accurate forecasts. Keywords: economic research, artificial intelligence, machine learning, deep learning, macroeconomics, microeconomics, finance, market analysis.
Marketing communications in the system of strategic management of marketing and sales activities of the enterprise
Authors:   Simon Kuznets Kharkiv National University of Economics, Vovk Volodymyr , Havrylchenko Olena ,   Simon Kuznets Kharkiv National University of Economics
Published: November 2024

The purpose of the study is to provide a comprehensive analysis and systematization of the main goals, tasks, and functions of marketing communications in the strategic management system of modern enterprises. The article examines the critical role of marketing communications in forming competitive advantages, increasing market share, and strengthening the brand identity of the enterprise. Theoretical approaches to determining the place of marketing communications in strategic management and practical aspects of their implementation in various business sectors are considered. The main marketing communications goals are detailed, such as increasing product awareness, stimulating demand, building customer loyalty, and ensuring effective interaction with stakeholders. Special attention is paid to marketing communications tools (advertising, PR, digital marketing, direct sales, etc.) and their impact on the company’s competitiveness and market positioning. The importance of integrating marketing communications with the general strategy of the enterprise to achieve synergy in activities is revealed. The relationship between marketing communications and marketing and sales strategies is emphasized, particularly the importance of harmonizing these elements to increase the effectiveness of management decisions in the long term. The article offers practical recommendations for integrating the communication strategy into the overall enterprise management system, aiming to adapt to changing market conditions, improve customer relations, and achieve strategic goals. The study’s results can be used both by enterprises to improve the effectiveness of marketing activities and by scientists to further develop the theory of marketing communications in the context of strategic management. Keywords: marketing communications, enterprise management system, strategic management, strategic goals, marketing and sales activities, strategies of marketing and sales activities.
Synthesis, Characterization, Dielectric Behavior and AC Conductivity of ZrO2 Doped Polyaniline
Authors: - Dr.P.Laveena manjulatha
Published: November 2024

The composites of polyaniline (PANI) with Zirconium dioxide (ZrO2) at different weight percentage are synthesized by insitu chemical oxidation polymerization method using Ammonium peroxydisulfate (APS) as an oxidizing agent. The composite formation and structural changes are studied using X-ray diffractometer to investigate amorphous or crystalline nature. From XRD it is found that polyaniline is amorphous in nature and composite is in crystalline in nature and ZrO2 is uniformly distributed in the PANI. SEM images confirmed that size particles of PANI and its composite is in the range of 0.9-1µm. Further the dielectric constant, dielectric loss and AC conductivity are studied as a function of frequency at room temperature. The dielectric constant, dielectric loss decreased as frequency increased and after 1.5 KHz they almost remain constant. AC conductivity increased after 1.5 KHz as frequency increased.
Flower Recognition System using CNN
Authors: - Rohan Vayase , - Dr. Shilpa S. Paygude
Published: November 2024

Flower recognition stands as a pivotal task across diverse fields such as botany, agriculture, and environmental studies. The manual process of identifying flower species is not only laborious but also susceptible to inaccuracies. In response to this challenge, this report introduces a Flower Recognition System employing Convolutional Neural Networks (CNNs) to automate and enhance this process. By harnessing the capabilities of deep learning, our system demonstrates remarkable proficiency in accurately classifying various flower species from input images. The CNN architecture, meticulously designed and trained on a comprehensive dataset of labeled flower images, exhibits robustness and efficiency in flower identification tasks. Through rigorous experimentation and evaluation, this report meticulously examines the development and performance of the Flower Recognition System. Furthermore, it explores the potential applications of this system in facilitating automated flower species identification, thereby contributing to advancements in botanical research, agricultural practices, and environmental conservation efforts.
Utilization of Cervical Cancer Screening Services by Nurses at Wusakile Mine Hospital, Kitwe District
Authors: - PETER BWALYA , - CATHERINE M NGOMA , - MUTIKE ZULU
Published: November 2024

Zambia has one of the highest cervical cancer incidence and mortality rates in the world due to under-utilization of cervical cancer screening service. Screening remains the cornerstone of prevention. The study sought to assess the utilization of cervical cancer screening services by nurses at Nkana hospital in Kitwe district.

This was a descriptive cross-sectional study conducted at Nkana Hospital, Kitwe district, located in the Copperbelt province of Zambia. To maintain anonymity while showing respect to the participate, pseudo-facility name was used because of the nature of the study. Census sampling method was used to select 91 respondents who participated in the study. A self-administered questionnaire was used to collected data from the respondents and was analysed using SPSS version 21. Chi square test and binary logistic regression were performed to determine associations between the dependent variable and the independent variables.

The findings indicated a significant relationship between educational level and the utilization of cervical cancer screening services by nurses, with a P-value of 0.004. Additionally, knowledge about cervical cancer stages was also found to be significantly linked to the utilization of cervical cancer screening services (P-value = 0.017). Furthermore, the importance for nurses to go for screening was also significant with the p-value = 0.05 and likewise willingness to do a CCS test (VIA) was similarly significantly associated with nurses utilization of CCS services with the p-value of 0.000. However, there was no significant association found between overall attitude, overall knowledge, and the use of cervical cancer screening services (p-values>0.05). The results of binary logistic regression showed that readiness to go for CCS test (VIA) was significant and had 0.041 times reduced odds of utilizing CCS services [OR=0.041, CI=0.010, 0.175, p=0.000]. Furthermore, indulging into sex at an early age was significant and had 0.20 times reduced odds of utilizing CCS services [OR=0.203, CI=0.048, 0.852, p=0.029].

The study discovered that the 33% who did not utilized the service, the majority cited that the test was painful (46.7%). There is need to involve nurses who have done the screening in explaining the procedure.
Open AI Application Tools Utilization for Improving Academic Writing: A Study
Authors: - Dr Ratnesh Kumar Sharma
Published: November 2024

The study aims to explore how open AI application tools can enhance academic writing. This reflects a growing interest in integrating artificial intelligence (AI) into educational practices, particularly in writing skills development. The abstract highlights the importance of AI in academic writing, suggesting that these technologies can assist students and researchers in improving their writing quality. This aligns with the broader trend of utilizing AI in educational settings to support learning outcomes. The study is situated within the context of higher education, where academic writing is a critical skill. The use of AI tools is examined in relation to their effectiveness in aiding students, particularly in English as a Foreign Language (EFL) contexts, as noted in related literature. The abstract emphasizes the role of AI tools in improving the quality of academic writing. These tools are seen as beneficial for students and researchers, helping them to refine their writing and express their ideas more clearly.
Tax Efficiency in Mutual Funds: Strategies for Maximizing After-Tax Returns
Authors: - Rajarshi Roy Chowdhury , - Ahana Biswas
Published: November 2024

This research paper is based on meaning and tax aspects mutual funds and the various strategies for maintaining tax efficiency in mutual funds
An Analysis on How Historical Events are Impacting Indian Modern Public Policies
Authors: - Shreya Singh
Published: November 2024

Understanding the historical connections behind public policy choices is crucial for effective governance, especially in a diverse and vibrant society like India. Many contemporary policies are often seen as immediate responses to current challenges, yet they are deeply rooted in historical frameworks that shape their purpose and design. In this paper, I explore how classical governance models influence modern Indian public policies and examine how this historical continuity impacts their effectiveness and relevance today. By analyzing five key areas—Incrementalism, Ayushman Bharat, Panchayati Raj, Atmanirbhar Bharat, and Reservation policy, I aim to uncover the rich interplay between our past and present. Ultimately, this research advocates for a deeper appreciation of historical context in policy-making, as it can enhance our understanding and response to the evolving needs of Indian society.
Economic Independence and beyond: SHGs Paving the Path for Women’s Empowerment in Ranchi District
Authors: - Akanksha , - Nishi Kant Niraj
Published: November 2024

Women’s empowerment is a serious problems worldwide, with Self-Help Groups (SHGs) rising as effectual instruments for development economic and social progression among marginalized women. This study examines the impact of SHGs on women’s empowerment in the Ranchi district of Jharkhand, India. Utilizing a sample size of 70 women from seven distinct SHGs, the research employs a random selection method to gather quantitative data on income levels before and after SHG participation. The findings indicate a considerable increase in income levels postmembership, with a distinguished shift from non-earning or low-earning categories to higher income brackets. Additionally, SHGs have considerably improved women’s self-reliance, confidence, and social engagement, contributing to the reduction of gender-based issues such as
domestic violence and dowry practices. The study concludes that SHGs play an essential role in integrating women into economic and decision-making processes, thereby promoting broader social change and community development in Ranchi.
A Comparative Study to Assess Occupational Stress and Coping of Male and Female High School Teachers in Selected Educational Institutions of Bangalore With a View to Develop an Information Booklet on Stress Reduction Strategies
Authors: - Walter Jaisingh P , - Sasikala Jaisingh A
Published: November 2024

The aim of the study is to assess and compare the 'occupational stress and coping between male and female High School Teachers' of Bangalore. Assessment of occupational stress was carried out by using Occupational Stress Scale (OSS) and the coping was assessed by Coping Check List (CCL). 50 male and 50 female High School Teachers were selected from twelve high schools as samples using non- probability purposive sampling technique. It was found that female teachers had more occupational stress (64.79%) than male teachers (58.44%). In coping, male teachers were found to be more effective (47.68%) than their female counterparts (46.71%). Among High School Teachers, 64.32% had severe occupational stress in 'performance pressure' domain. Regarding coping, 57.3% were able to cope with 'problem focused' domain. The study findings revealed that, there was a significant relationship (p< 0.05) between occupational stress among male and female High School Teachers and there was no significant relationship between coping among male and female High School Teachers (p>0.05).
Enhancing Compliance and Governance through Data Consistency and Rationalization for Effective Risk Mitigation in Health Care
Authors: - Jayanna Hallur , - Vedamurthy Gejjegondanahalli Yogeshappa , - Jaishankar Inukonda , - Vidya Rajasekhara Reddy Tetala
Published: November 2024

In the era of big data, you absolutely must have consistency across your different data systems to make effective decision-making, be compliance, enhanced governance and security and also mitigation of risks,, and even have system integrity. The data consistency and how rationalization techniques help overcome challenges when working with heterogeneous data sources, is what this paper explores. Rationalization allows businesses to keep their data accurate and consistent by standardizing data formats, reducing duplications, measuring the data growth, categories the data sources, farmats, and aligning conflicting information. We compare the different methods of normalization, data deduplication, Master Data Management (MDM) and data integration framework. We also delve into the part that automation, artificial intelligence and machine learning play in optimizing these processes and provide scalable solutions that can potentially simplify the complexity of modern-day data environments. Practical implications from rationalization effort case studies are shown from sectors like, healthcare, finance, and e-commerce. Our specific findings show that long-term data consistency requires a systematic approach that employs technology and strong governance. In the end, this paper gives a blueprint for how to exploit rationalization methods to exploit the capabilities of data-driven insights fully.
Implementation of Basic Education Learning Continuity Plan at Anomar National High School, Surigao City, Philippines
Authors: - Jefrey B. Bulabog
Published: November 2024

This study assessed the implementation of the Basic Education Learning Continuity Plan (BE-LCP) at Anomar National High School, focusing on Grades 11 and 12 students' engagement with Most Essential Learning Competencies (MELCs) delivered via modular learning. Drawing on cognitive and behavioral learning theories, the study examined the roles of students’ interest and attitude, parental involvement, and teachers' support in shaping educational outcomes in a self-directed learning modality. Using a descriptive research design, data were collected through structured surveys and analyzed with statistical tools Simple Frequency Count and Percentages, Mean and Standard Deviation, Analysis of Variance, T-test, Pearson's R Correlation, and Multiple Regression Analysis. Findings indicated that while Grade 11 students achieved a "Satisfactory" level in learning assessment, Grade 12 outcomes were "Average," suggesting a need for additional support. High levels of interest and positive attitudes were noted among students, yet challenges with progressive skill development and external support highlighted areas for improvement. Parental involvement positively influenced learning environments but showed variability in effectiveness. The weak correlation between interest, attitude, and learning outcomes suggests that additional factors may impact student success. Recommendations include tailored interventions, enhanced parental guidance, and further exploration of curriculum adaptability and resource availability.
Leveraging Sales Data Analytics to Optimize Pharmaceutical Drug Launches: A Technical Analysis
Authors: - Harpreet Singh
Published: November 2024

This technical article quantifies the impact of sales data analytics on pharmaceutical drug launch optimization through advanced predictive modeling and real-time market analysis. The article examines data from 150 drug launches between 2018-2023, analyzing the correlation between analytics
implementation and market success. Findings demonstrate that machine learning models reduce forecast variance from ±25% to ±8%, while real-time analytics processing 2.5 million data points per cycle enables 72-hour market response times. Advanced analytics platforms achieve 89% accuracy in predicting prescriber value through multi-channel engagement analysis. The article reveals that integrating AI-driven territory optimization improves field force efficiency by 34%, while automated data validation achieves 99.8% accuracy. Implementation results show consistent outperformance across key metrics, including a 45% higher market penetration rate and a 23% improvement in launch trajectories compared to traditional approaches.
A Study to Investigate the Efficacy of Cognitive Exercises on Fear of Falls and Dual Task Performance among Geriatric Population in Jalandhar
Authors: - Chahat Sharma , - Manika Saxena , - Parul Bawa , - Sachin Girdhar
Published: November 2024

BACKGROUND- Elderly population is described as 65 years of age or aged. Young–old population consists of the age group between 65 and 75 years of age. The middle–old population consists of the age group between 75 and 85 years of age. Old – old population consists of age group older than 85 years of age. Cognition is a higher cortical function. It is the process of knowing and includes awareness and judgement. Cognitive decline affects the older population by decrease in some mental functions such as verbal capability, numerical abilities, and general knowledge. Various physiotherapeutic approaches have been incorporated for making quality of life of patient worthier.
AIM- The aim of the study is to investigate the efficacy of cognitive exercises on cognitive functions, fear of falls and dual task performance among geriatric population.
METHODOLOGY-The total duration of the study was one and a half years. Subjects meeting the inclusion and exclusion criteria were selected in the study and were assessed for cognitive functions, fear of falls and dual task performance. A minimum of 30 subjects were taken. They were given dual task intervention and single task performance exercises. The treatment was carried out for 4 days per week for 7 weeks. The data was collected for dependent variables at baseline and at 7th week post treatment.
RESULTS-Data analysis was performed by SPSS Software version 18 and the variables were assessed using Paired T-test. The scores of the Falls Efficacy scale were also found to be significant when compared from baseline to 7th week with a p-value of <0.001. It was found that single task at baseline was significant. The results for average score of dual task activity of walking 4 meters with tossing ball was found to be significant at 7th week with p-value of <0.001. Dual task activity of walking 4 meters with cup of water was also found to be significant with p-value of <0.001. The dual task activity of walking 4 meters with dribbling a ball was significant by 7th week with p-value of <0.001.
While analyzing the dual task cost for walking with tossing ball it was found that the results were non-significant with a p-value of 0.7157. The results were also non-significant with a p-value of 0.8845 by 7th week for walking with holding a cup of water. However, it was found that the results were significant for dual task cost for walking 4 meters with dribbling a ball at 7th week with a p-value of <0.001.
CONCLUSION- The results have significant real -world ramifications for the health and standard of living of the aging population.
Omnichannel Strategy in Cloud-Based Contact Centers: A Blueprint for Success
Authors: - Vipin Kalra
Published: November 2024

This comprehensive technical article examines the evolution and implementation of omnichannel contact center solutions, focusing on the transition from traditional siloed systems to integrated cloud platforms. The article investigates the architectural framework, implementation challenges, and strategic advantages of modern contact center solutions, with particular emphasis on platforms like Genesys Cloud. Through detailed case studies and performance metrics, the research demonstrates how organizations across various sectors have achieved significant improvements in customer satisfaction, operational efficiency, and cost reduction through systematic implementation of omnichannel strategies. The article provides insights into emerging technologies, scalability considerations, and best practices for successful contact center transformation, while highlighting the critical role of AI-driven solutions and microservices architecture in enhancing customer experience and operational excellence.
Mapping Community Insights: An Exploratory Analysis on Traffic Management of Davao City, Philippines
Authors: - Kenneth John G. Solis , - Michael D. Rebuta , - Rencybeth Garcia , - Joel S. Pardillo
Published: November 2024

Traﬃc congestion is a growing concern worldwide, including in Davao City, Philippines. Despite eﬀorts to address this issue through technical and engineering-centered strategies, the community-based knowledge is overlooked. This study aims to recognize and ascertain the factors influential to the traffic management in Davao City carved from the quantified community responses through Exploratory Factor Analysis (EFA). Results showed four significant factors namely: 1) Strict Enforcement of Traffic Laws and Strategic Improvements to Infrastructure where high loading factors emphasize the community's strong association between government actions and effective traffic management, underlining that the community acknowledges the local government’s effort to manage the traffic in Davao City (0.775), and the effectivity of traffic lights (0.711) and road improvements (0.613); 2) Traffic Congestion Influences on Community’s Daily Routine where traffic congestion notably impacts daily life, stressing a communal agreement that congestion increases their travel time to work/school (0.824), congestion as a major issue (0.804), and congestion affecting their daily routine (0.767); 3) Community Engagement and Inclusive Approaches where community engagement is deemed crucial for effective traffic solutions, showing the community’s point of view being essential for effective traffic solution (0.715), moderate trust on the local government’s responsiveness (0.657), and desire for the involvement of the non-governmental organizations (NGOs); and 4) Efficient Public Transportation and Infrastructure where public transportation is identified as essential for congestion reduction, accentuating the community’s perspective on the effectiveness of public transportation in reducing traffic congestion (0.583), supporting policies encouraging public transit (0.558), and preference of taking for public transportation instead of driving (0.458).
A Comparative Framework for Intent Classification Systems: Evaluating Large Language Models versus Traditional Machine Learning in Contact Center Applications
Authors: - Santhosh Kumar Ganesan
Published: November 2024

Modern contact centers face increasingly complex decisions when selecting appropriate technologies for intent identification systems. This article presents a systematic comparative analysis of Large Language Models (LLMs) and traditional Machine Learning (ML) approaches in contact center environments,
examining their relative efficacy across various operational contexts. Through a comprehensive evaluation framework, we assess seven critical dimensions: data complexity, training requirements, performance metrics, resource utilization, customization capabilities, deployment considerations, and hybrid implementation strategies. Our findings indicate that LLMs demonstrate superior performance in scenarios involving complex linguistic patterns and contextual understanding, while traditional ML models maintain advantages in resource-constrained environments and clearly defined intent categories.
We propose a novel decision framework that enables organizations to optimize their technology selection based on specific operational requirements, resource availability, and performance needs. The article contributes to both theoretical understanding and practical implementation by providing evidence-based
guidelines for selecting and implementing intent identification systems. The results suggest that hybrid approaches, combining the strengths of both LLMs and traditional ML models, offer promising solutions for organizations seeking to balance sophisticated language understanding with operational efficiency
These findings have significant implications for contact center automation strategies and provide a foundation for future research in adaptive intent classification systems.
Global Hunger and Food Waste Tracking Platform: A Technical Implementation Study
Authors: - Rohit Sharma
Published: November 2024

The Global Hunger and Food Waste Tracking Platform represents an innovative technological solution to
address the critical challenge of global food distribution inefficiency. This article presents a
comprehensive technical analysis of a system that processes 2.5 petabytes of supply chain data annually
to optimize food distribution networks. The platform connects 25,000 farms, 3,500 food banks, and
12,000 distribution centers in a unified ecosystem, utilizing cloud computing, artificial intelligence, and
real-time analytics. First-year implementation results demonstrate a 22% reduction in food waste,
translating to 145,000 tons of food redirected and $432M in total economic benefits. The system achieves
89% accuracy in shortage prediction and 93% in surplus identification, while reducing delivery times by
35%. This paper details the platform's architecture, security framework, and future enhancements,
including blockchain integration and advanced analytics capabilities, establishing a model for
humanitarian technology initiatives.