bluuebunny/crossref_metadata_2025 huggingface dataset:
Socioeconomic, Ethnographic and Political Integrations and Challenges of Igbo Migrants in Lafia, Nasarawa State, Nigeria
Authors: Abejide L.E.O. , Sani Fatima S. , Kasim Suleiman U
Published: May 2024

The study examines the socioeconomic, ethnographic and political integrations and challenges of Igbo migrants in Lafia. Quantitative and qualitative techniques were adopted to collect data on integration variables via the administration of questionnaires to groups of Igbos from the five states of the Southeast region, and the conduct of In-depth Interviews (IDIs) with Igbo elders. Fifty copies of questionnaires were distributed to each group, totaling 250. Data were analysed by SPSS version 25, and tables and charts were generated and the qualitative data were content analysed. On socioeconomic integration, the results showed that the majority (88.1%) of Igbos were first generation migrants, who arrived to start business in Lafia over 40 years ago, whereby, almost three-fifths (59.5%) of them started their current occupation. Majority (37.6%) of Igbo migrants’ present occupation was facilitated by ‘master’, ‘family’ (66.8%) facilitated their accommodation, close to 70 per cent of them possessed their personal houses, and over two-fifths (43.1%) of them got landed property through ‘friend’ while close to three-quarters (74.8%) got married to Lafia indigenes. On ethnographic integration, three-quarters were proficient in Hausa language, with half rated their proficiency in Hausa language ‘excellent,’ while Gwandara language became the best secondary proficient language. As par political integration, over half (52.0%) of Igbo migrants held political office within their association politics but few with the wider politics. In summary, Igbo migrants have been experiencing dynamic and positive integrations but facing challenges of ethnic divide and nepotism.
Перспективы углеродной нейтральности экономики Китая: технологические инновации и межгосударственные проекты
Authors: Евченко Н.Н. , Сяохань Ван
Published: May 2024

Стремясь к углеродной нейтральности, государства разрабатывают технологии сокращения выбросов углерода. Китай и Россия утвердили программные документы, содержащие рекомендации по преобразованию внутреннего энергетического баланса в низкоуглеродную модель. Межгосударственные проекты являются важным инструментом научных инноваций и технологической декарбонизации.
В статье анализируются условия сотрудничества, характеристики и технологии проектов по сокращению выбросов углерода в области атомной энергетики, природного газа, строительствa, улавливания, утилизации и хранения углерода (CCUS). Представляя опыт КНР, авторы предлагают развитие низкоуглеродной модели государства на основе системы управления энергетическими проектами, изменения структуры энергобаланса, применения информационных технологий в строительстве и при эксплуатации объектов инфраструктуры, совершенствования систем образования и подготовки кадров, использования моделей динамического мониторинга.
Экономическая оценка сценариев сокращения атмосферных выбросов Красноярска за счет газификации и использования альтернативных видов отопления
Authors: Гайворонская М.С. , Верхотуров А.В. , Пыжев А.И.
Published: May 2024

В Красноярске, где основным видом топлива является уголь, остро стоит проблема загрязнения атмосферного воздуха промышленными и передвижными источниками, усугубляемая котловинным ландшафтом и снижающейся среднегодовой скоростью ветра. В качестве одного из решений этой проблемы рассматривается газификация, которая, по последним опубликованным планам, должна пройти в регионе до 2028 г. В статье дается оценка стоимости и целесообразности нескольких вариантов газификации, а также альтернативных способов сокращения выбросов загрязняющих веществ за счет использования других видов топлива. На основе этого анализа предлагаются меры краткосрочного и долгосрочного решения экологических проблем города.
Differential polynomials sharing a set of roots of unity with finite weight
Authors: Sahoo Pulak , Sultana Soniya
Published: May 2024

In this paper, we study the uniqueness problem of meromorphic functions when
two differential polynomials share a set of roots of unity with finite weight. Our results
not only generalize a result of Lahiri and Sinha [Commun. Korean Math. Soc., 35 (2020),
773-787], at the same time improve the recent results of Khoai and An [Advanced Studies:
Euro-Tbilisi Math. J., 15 (2022), 39-51].
A fundamental inequality for 3-dimensional CAT(ε) hypersurfaces
Authors: Suceavă Bogdan D.
Published: May 2024

By J.F. Nash’s Theorem, any Riemannian manifold can be embedded into a
Euclidean ambient space with dimension sufficiently large. In 1968, S.-S. Chern pointed
out that a key technical element in applying Nash’s Theorem effectively is finding useful
relationships between intrinsic and extrinsic elements that are characterizing immersions.
After 1993, when a groundbreaking work written by B.-Y. Chen on this theme was published, many explorations pursued this important avenue of inquiry. Bearing in mind this
historical context, in our present paper we point out a new relationship involving intrinsic
and extrinsic curvature invariants, under natural geometric conditions. We conclude our
work with an obstruction to minimality, in the spirit of S.-S. Chern’s reflection from 1968.
Evaluation of the Pala’wan Epic Odayang Translations from a Minority Dialect to Two Dominant Languages
Authors: Roxas-Rojales Ma. Gemma , Austria Jessica R. , Salas Angelo Joseph M.
Published: May 2024

The study aimed to analyze the translation of the Pala’wan tribe epic Odayang from the English version which was first translated by Mariano S. Dela Cruz, who is familiar with the tribe’s language and culture from its original form which is in the Palaw’an dialect, being one who grew up near its origin because of his birth. The goal of this study is to 1. decode the different meanings inside the language used in the epic without destroying its quality and integrity, 2. Compare and analyze the two versions through lexical attention, grammatical structure, communicative situation, and cultural context lenses as the piece was first translated to English taking into consideration its closeness to the original version and authenticity. 3. It will try to know if there is an effect when a minority language is translated to two dominant languages by the process it went through in the aspect of material authenticity. The second translation utilized Translation Theory by Jiri Levy, General Translation Theory by Hans Vermeerand Kloepfer’s Approach as used by Lokman Tanrikulu, to ensure that all parts of the material is preserved in terms of cultural standards and worth. The author also considered the preservation of a minority means of communication which is the Palaw’an dialect against dominant languages used in the first and second versions. The author weighed all facets in the translation, as not doing so will result in obstruction in the dialect’s development. Thus, social context of communication must not be put aside, lest it may mean death to the marginal language. In the two versions of the epic, exegesis, pragmatic function, and unidirectional approach was applied as means of analysis to reach a more comprehensive and close interpretation of the words used without endangerment to the cultural and pragmatic values of the minority language.
Urban Management in the Context of Liveability and Social Exclusion in Nigeria: A Review
Authors: Yekeen Adewale Yemi , Misnan Siti Hajar
Published: May 2024

Nigerian cities have some of the lowest liveability indices worldwide due to environmental degradation exacerbated by the remarkable expansion in the country’s urban population. Various studies have revealed links between city liveability and urban management, indicating the urban challenges faced by Nigerian cities are due to fundamental flaws in city management systems designed to exclude critical urban actors. Therefore, this paper examines the nature and impact of city governments’ urban management systems (U.M.S.) on inclusivity and liveability in Nigeria. Based on an extensive literature review, the paper notes that incorporating urban management under local governments (typically urban and rural settlements) redirects attention from urban centres, resulting in their current problems. Additionally, the performance of municipal administration in Nigeria has been impacted by the exclusion of critical urban players from city management. Therefore, the article urges reviewing the current urban management paradigm and advises investigating cutting-edge strategies to reposition urban management in Nigeria.
A Descriptive Quantitative Study between Teachers’ Performance and Student Learning Outcomes among Grade 11 Students
Authors: Ronelo B. Butaslac, Niño , Michael E Chatto , Archer M. Damiles, Kurt , Marie Faz L. Delos Santos, , Jane M. Echavez, Shanen , John O. Mabaga, Neil , Marlou N. Pontejos , Ivan A. Ramos , Jhan D. Tagaylo, Mark , Predrieck B. Umapas , M. Clamares Krystal Joy , O. Pelandas Anna Marie
Published: May 2024

This study dealt with the influence of teachers’ performance and student learning outcomes among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. The primary goal of this study was to determine the level of teachers’ performance and student learning outcomes in terms of their indicators, the significant difference between teachers’ performance and student learning outcomes, and what domains of teachers’ performance substantially influence student learning outcomes. Also, this study utilized a quantitative-correlational design with 202 respondents among Grade 11 students in Lorenzo S. Sarmiento Sr. National High School. The average weighted mean, Pearson R, and multiple regression analysis were the statistical tools used in this study. Along with this, the results showed a high level of teachers’ performance among Grade 11 students in terms of lesson planning, delivery, and evaluation of pupils’ performance. Likewise, the results showed a high level of student learning outcomes in the Grade 11 students regarding teaching, assessment, and generic skills and learning experience. In addition, there was a high correlation and a significant relationship between teachers’ performance and student learning outcomes. Hence, this led to the rejection of the null hypothesis. Also, there are two domains of teachers’ performance that showed a high level of ratings as perceived by the students. Thus, the teacher could continue with their performance for teaching to see good student learning outcomes by providing their needs with new activities to develop their listening skills, public speaking, and writing inside the classroom, and the students may also engage and participate in the teachers’ discussion to make better progress and improve their academic performances.
REPASSE DE RECURSOS DE PENAS PECUNIÁRIAS DA JUSTIÇA COMO ESTRATÉGIA DE AQUISIÇÃO DESCENTRALIZADA PELAS UNIDADES OPERACIONAIS DA POLÍCIA MILITAR DO PARANÁ
Authors: Pakuszewski Anderson , Campiolo Luz Cecílio
Published: May 2024

A produção técnico-científica desenvolvida na presente obra teve como objetivo contribuir para a ampliação do conhecimento dos Comandantes das Unidades da Polícia Militar do Paraná sobre a possibilidade de captação de recursos previstos na política institucional do Poder Judiciário para utilização de valores oriundos da aplicação da pena de prestação pecuniária. O trabalho também demonstrou que os projetos para atendimento das necessidades de segurança pública podem ser custeados com uso de tais recursos extraorçamentários. Os resultados alcançados nas pesquisas revelaram que o conteúdo abordado é de repercussão institucional, pois se apresenta como oportunidade de solução alternativa para aquisições de bens a fim de atender demandas pontuais das Unidades Operacionais da Polícia Militar do Paraná. A metodologia utilizada fundamentou-se em elementos bibliográficos, doutrinários e normas infralegais.  Assim, este estudo se justificou pela relevante necessidade de se estabelecer padronização administrativa para requisição de recursos extraorçamentários provenientes do repasse de valores pelo poder judiciário, de modo a melhorar a estrutura operacional e a capacidade de resposta à sociedade paranaense. Ademais, concluiu-se que a estratégia de aquisição apresentada é medida eficaz que permite aos comandantes das Unidades Operacionais da Polícia Militar do Paraná dispor de meios céleres para realização dos seus objetivos institucionais para o alcance do interesse público.
The Future of the Finance Workforce: How Microsoft Copilot May Reshape Roles and Skillsets
Authors: Jarunde Nikhil
Published: May 2024

Purpose: Artificial intelligence (AI) is rapidly advancing, with tools like Microsoft Copilot poised to significantly change the workplace. This paper examines the potential impact of Copilot adoption on the finance workforce.
Methodology: It analyzes which financial tasks may be susceptible to automation through Copilot's capabilities and identifies the emerging skills that will be crucial for finance professionals to remain competitive in an AI-driven landscape.
Findings: This research provides insights for educators, policymakers, and finance professionals seeking to prepare for the future of work in the finance sector.
Unique contribution to theory, policy and practice: In essence, the future of the finance workforce will be characterized by a dynamic interplay between automation, skill evolution, and ethical considerations. By embracing the transformative potential of Microsoft Copilot and cultivating the necessary skillsets, finance professionals can seize opportunities for innovation, drive value creation, and navigate the evolving landscape of finance with confidence and resilience.
SIGNSense: Auditory -Optic Impairment Communication Bridge
Authors: B H Theja  , Harshitha S  , Likitha G  , Dr. Soumya Patil
Published: May 2024

Language experts have recognized sign languages as natural languages with the ability to convey human emotions and ideas. Translation from written language into sign videos or extraction of spoken language sentences from sign videos is the aim of sign language translation. Sign language is the principal means of communication for the deaf and hard of hearing community, which comprises 32 million children and 328 million adults worldwide who suffer from hearing impairment. However, the inability of current systems to accurately translate and transmit sign language motions in real-time prevents effective and spontaneous communication. This research provides a revolutionary technique that enables real-time recognition of ISL gestures by integrating natural language processing with cross-modal integration. The methodology uses cutting-edge methods like the Single Shot Multibox Detector (SSD) with MobileNetV2 architecture for data collection, preprocessing, model selection, and training. In real-time inference, the trained model attains an impressive 94% accuracy rate, showcasing strong performance and encouraging outcomes for enhancing communication accessibility for people with hearing impairments
Enterprise Data Breach: Causes, Challenges, Prevention, and Future Directions
Authors: Naveenraj D  , S Anu Priya
Published: May 2024

Cloud data is such a valuable and necessary resource, security is a major worry. Despite the widespread misperception that hackers are the source of security lapses, insiders are primarily responsible for data theft. In practically dispersed settings, critical data is routinely moved from the distributor to trustworthy parties. The stability and security of the services must be guaranteed in light of the increasing volume of user requests. When a client discloses important information, the client should be held accountable as soon as possible. Therefore, it's necessary to keep an eye on the data as it moves from the distributor to the agents. In the context of cloud computing, the project identifies data leakage detection, which examines data tampering and concludes that the information leak was caused by a particular employee in the organization
Management of Dairy Farm using PHP and MySQL
Authors: Harris Charles F  , H. Jayamangala
Published: May 2024

A survey was prepared by the Dairy farming Working Group together with invited milk recording organizations. This paper is one part of this project and focuses on management and organizational questions. The management of recording organizations in the current climate of growing competition is more challenging than ever. The main part of this approach is how to develop a clear relationship with customers and how to provide value to farmers in regard to collected data and samples. New tools of analysis are already very common in some countries, while other participants are now focusing on maximizing increased efficiency in data capturing and processing. In those countries whose workflow is technician-based, training and certification are major components in improving human resources. The reporting of results back to farmers is also a very challenging area. The use of paper and pdf-reports is very common, but new online technologies and smartphone usage now provide new opportunities for farmers to manage information. Real value is created by additional analyses from identified milk samples. The goal was to develop a program that is flexible enough to be useful in a wide variety of management systems by providing reports suited to the individual producer. The existing program already collects farmers, employees, deliveries and their databases respectively other maintenance procedures and performance records
Machine Learning and Deep Learning Approach for Medical Image Analysis Summary Generator
Authors: Sam Sudhakar J  , Dr. Krithika. D. R.
Published: May 2024

Colorectal cancer, which is frequent, recognized tumours in both genders around the globe. As per the report generated by WHO in 2018, colon cancer placed in the third position, whereas 1.80 million individuals are affected. Precisely, it is the succeeding leading cancer, which is the second most common cause of cancer in females, and the third for males. The loss of control over the integrity of epidermal cells in bowel or malignancy can be the cause of colorectal cancer. An effective way to recognize colon cancer at an early stage and substantial treatment can reduce the ensuing death rates to a great extent. To perform Screening of Morphology of Malignant Tumor Cells in the colon, a Gastroenterologist may refer to cancer diagnosis tests for pathological images. In any Histology method, the process takes a significant duration of time due to infinite numbers of glands in the gastrointestinal system, which may lead to irreconcilable outcomes. By diagnosing through computer algorithms, can give practical and contributory results. Hence, accurate gland segmentation is one crucial prerequisite stage to get reliable and informative morphological image data. In recent times, the scholars applied machine learning algorithms to pathological image analysis for the diagnosis of cancer disease. We propose that features extracted from the diagnostic tests, given as input to a machine learning architecture used along with semantic segmentation algorithm, provide results that are accurate than the existing image segmentation algorithms. This work is the extensive review of machine learning architectures used for semantic segmentation on the histological images of the colon.In our project we will be using the following algorithms such as Adaboost as existing and Convolution Neural Network (CNN) as proposed and its accuracy is been calculated and well compared to other algorithms. It is found that CNN performs less than other algorithms
Semisupervised Machine Learning Approach for Ddos Detection
Authors: Sanjeevi. J  , Dr. Krithika. D. R.
Published: May 2024

Analyzing cyber incident data sets is an important method for deepening our understanding of the evolution of the threat situation. In present generation we come to know about many cyber breaches and hacking taking place. In this project work, we research about the various cyber- attacks and breaches and study the way these attacks are done and find an alternative for the same. We show that rather than by distributing these attacks as because they exhibit autocorrelations, we should model by stochastic process both the hacking breach incident inter- arrival times and breach sizes. We draw a set of cyber securities insights, including that the threat of cyber hacks is indeed getting worse in terms of their frequency. In our project we will be using the algorithms such as Convolution Neural Network (CNN) as existing and Recurrent Neural Network (RNN) as proposed for analyzing our results. From the results obtained its proved that proposed RNN works better than existing CNN.
Facial Feature-Based Attention Tracking System for Enhanced Online Learning Engagement
Authors: Krishnaraj. V  , Sumalatha. V
Published: May 2024

Recognizing and enhancing student engagement is crucial for improving learning outcomes, particularly in the context of online classes where monitoring can be challenging. Traditional methods of attendance tracking, such as calling out names, are impractical and susceptible to manipulation in the virtual environment. Students might appear 'online' without actively participating, and the absence of video feeds makes it difficult for teachers to verify attendance and attention. In order to realize a highly efficient and robust attendance management and engagement level prediction system for online learning, In the proposed
System, the learner’s face is monitored by a video camera while attending a video lecture. Facial features were analyzed to predict reaction time (RT) to a task-irrelevant stimulus, which was assumed to be an index of the level of attention. Then apply a machine learning method, light Gradient Boosting Machine (LightGBM), to estimate RTs from facial features extracted as action units (AUs) corresponding to facial muscle movements by an open-source software (OpenFace). This project is to develops a user-friendly system integrated with private online learning and attendance recording system for teachers that can automatically record students ‘engagement state and attendance then generate attendance reports for online classrooms. It encompasses a novel design using the AI based FFCNN (Face Fiducial Convolution Neural Network) model to capture face biometric randomly from students’ video stream and record their attendance automatically. This integrated solution not only streamlines attendance management but also provides valuable insights into students' engagement levels through facial feature analysis.
SatelliteChangeNet: Deep Learning approach for Detection & Prediction
Authors: Dr. Sharda Chhabria  , Mr. Aditya Bhagwat  , Mr. Om Barde
Published: May 2024

In geoscience, Detection is a useful method for analyzing land surface changes using data from Earth observation and for uncovering links between human activities and environmental phenomena. Detection in remote sensing is a rapidly evolving area of interest that is relevant for a number of fields. Recent years have seen a large number of publications and progress, even though the challenge is far from solved. This review focuses on deep learning applied to the task of Detection in multispectral remote-sensing images. In this work, SatelliteChangeNet addresses the growing need for an accurate and effective method to monitor and predict changes in satellite imagery, which is important for many purposes such as environmental monitoring, urban planning, and agriculture and disaster management. The changes always aim to show the struggle with the body and its different structures and lead to the search for a deep learning process. The program focuses on the use of satellite data for exploration of new areas, urban development analysis, environmental management damage, and change and prediction with important applications in agriculture. Water resources and farmland provide a lot of information about our planet. Analyzing these changes over time is important for understanding land use, environmental change, and natural hazards
Skin Disease Detection
Authors: Mrs. R Soundharya  , Akanksha Shettigar  , Ananya Prasad  , Ashwith R Poojary  , Deepa Naik
Published: May 2024

The human skin is a remarkable organ susceptible to a myriad of know and unknown diseases. Many of these ailment are widespread, with some ranking among common worldwide. The complexity of diagnosing these diseases is compounded by challenges such as variations in skin texture, the presence of hair, and diverse skin colors. In some areas have limited access to medical facilities, individuals often neglect early symptoms, leading to exacerbated conditions over time. Furthermore, traditional diagnostic methods for skin diseases are time-consuming. To address these challenges, there is a critical need to develop advanced diagnostic methods utilizing machine learning techniques to enhance accuracy cross various skin diseases. Machine learning algorithms have proven valuable in medical applications, leveraging image feature values to facilitate decision-making. The diagnostic process involves three key stages: feature extraction, training, and testing. By employing machine learning technology, these algorithms learn from a diverse set of skin images o enhance their diagnostic capabilities. The primary goal is to significantly improved the accuracy of skin disease detection. This study focuses on utilizing color and texture features for the classification of skin diseases. The distinctive color of healthy skin differs from that affected by disease, while texture features effectively discern smoothness, coarseness, and regularity in images. Key features such as texture, color, and shape phyla pivotal role in image classification. The incorporation of convolution neural networks (CNN) further augments the capabilities of image classification in the realm of skin disease diagnosis
Enhancing Workplace Safety Based on Internet of Things to Provide Intelligent Decision for Preventing Working at Height Fall Incidents for Occupational Workers
Authors: Pravin Tathod  , Mrityunjay Singh
Published: May 2024

In Under develop country like India fall incidents are increasing rapidly at workplace not only in the industrial sector even though construction and private sector too. Fall injury is the highest cause of death/ fatal/severe injuries. The severity of working at height incident depending upon the nature of job, height of application, uneven/cluttered surface etc. In this research paper a unique solution has been studied to bring revolutionary change in personal protective equipment which is used while working at height. There are many technologies are available,in chemical industry if any parameter deviate automatically machine will be shut-down and safe operating protocols will be activated but in conventional personal protective equipment it is hardly say there is still area of research where the technological improvement is needed to bring the robust safety system. Air bags are a very good example to correlate the smart PPE, if any passenger vehicle have air bag system collision with other vehicle automatically within milli second the airbag will be activated which saves the life of driver and passenger as well. Similarly Smart PPE has unique provision if PPE compliance is deviated at workplace immediately the violation shall be captured, and warning alert shall be given to user to remind them to compliance. This will help us to improve workplace safety. It is an error proof system that neither required manual surveillance nor manual recording of violations. In this research paper IOT internet of thing based smart safety harness has been studied and the workplace deviation were compared earlier with manual monitoring data to analyze the human error with respect to compliance of personal protective equipment
Efficient Object Detection with YOLO: A Comprehensive Guide
Authors: Suvarna Patil  , Soham Waghule  , Siddhesh Waje  , Prasad Pawar  , Shreyash Domb
Published: May 2024

Object detection presents itself as a pivotal and complex challenge within the domain of computer vision. Over the past ten years, as deep learning techniques have advanced quickly, researchers have committed significant resources to utilising deep models as the basis to improve the performance of object identification systems and related tasks like segmentation, localization. Two-stage and single-stage detectors are the two basic categories into which object detectors can be roughly divided. Typically, two-stage detectors use complicated structures in conjunction with a selective region proposal technique to accomplish their goals. Conversely, single-stage detectors aim to detect objects across all spatial regions in one shot, employing relatively simpler architectures. Any object detector's inference time and detection accuracy are the main factors to consider while evaluating it. Single-stage detectors offer quicker inference times, but two-stage detectors frequently show better detection accuracy. But since the introduction of YOLO (You Only Look Once) and its architectural offspring, detection accuracy has significantly improved—sometimes even outperforming that of two-stage detectors. The adoption of YOLO in various applications is primarily driven by its faster inference times rather than its detection accuracy alone.
Mitigating Biases in Training Data: Technical and Legal Challenges for Sub-Saharan Africa
Authors: Oluka Alexander
Published: May 2024

The study examines the challenges of mitigating biases in AI training data within Sub-Saharan Africa. A qualitative research approach with semi-structured interviews was employed to gather insights from eight participants with law, IT, and academic background. Thematic analysis was utilised to categorise the data into key themes, revealing insights into the complexities of developing fair AI technologies that reflect the socio-cultural diversity of the region. The findings emphasise the importance of incorporating local values and ethical considerations into AI development and highlight the need for enhanced collaborative efforts to establish resilient, culturally sensitive AI governance frame-works. The research contributes to the broader discourse on ethical AI deployment in diverse global contexts.
Non-governmental organizations’ development interventions and community empowerment in Kitui County, Kenya
Authors: Mutisya Joshua Kithuva , Mogote Charles
Published: May 2024

Non-governmental organizations (NGOs) are crucial actors in international development, addressing global challenges and fostering sustainable development in communities worldwide. Despite concerted NGO efforts, Kitui County in Eastern Kenya remains underdeveloped, grappling with significant challenges in education, healthcare, women empowerment, and food security. With 48% of its population living in poverty, surpassing the national average, and 39.4% facing food insecurity, Kitui County is in urgent need of intervention. This study investigates the impact of NGO interventions on community empowerment in Kitui County, focusing on education, health, and women empowerment sectors. Drawing on the Empowerment Theory and Sustainable Development Theory, a pragmatic research approach was adopted, employing a descriptive survey design. Data were collected from 384 residents aged 18 and above, utilizing structured questionnaires and interviews. Quantitative data were analyzed using the Statistical Package for the Social Sciences (SPSS), while qualitative data underwent thematic analysis. Findings reveal that NGO interventions have positively influenced education, with 66% acknowledging improved access to quality education through provided materials and teacher training programs. In healthcare, immunization campaigns (65%) and maternal and child health clinics (65%) have significantly reduced mortality rates and increased health awareness. Women empowerment initiatives, including microfinance and leadership training, have empowered women economically (64%) and facilitated their advocacy for rights (69%). This study underscores the vital role of NGOs in enhancing community empowerment in Kitui County. It emphasizes the need for sustained NGO interventions tailored to local contexts to address multifaceted development challenges effectively.
Acute vertebrobasilar insufficiency: modern views on etiol ogy, pathogenesis and diagnosis (literature review)
Authors: Шарабидинова А.Ш. , Тургумбаев Д.Д. , Каримов Ж.М.
Published: May 2024

Введение. Острая вертебробазилярная недостаточность (ВБН) представляет собой состояние, характеризующееся нарушением кровоснабжения головного мозга из-за компрессии или обструкции сосудов вертебробазилярной системы. Цель исследования. Провести библиографический поиск и оценку проработанности темы ВБН, с целью расширения своего исследования. Материалы и методы исследования. Проведен обзор современной литературы, за период с 2019-2024 годы. Были доступны для изучения публикации зарубежных авторов, также с соседних с Кыргызстаном стран. Результаты. Представлены современные исследования, клинические аспекты, включая понятия о распространенности, этиопатогенезе, топографоанатомических особенностей, и диагностических инструментах. Выводы. Проведение диагностических мероприятий вертебробазилярной артериальной недостаточности, продолжает оставаться актуальной задачей, решение которой позволит повысить эффективность профилактики ВБН.

Киришүү. Курч вертебробазилярдык жетишсиздик (ДБН) - вертебробазилярдык системанын кан тамырларынын кысылышынан же тоскоол болушунан улам мээнин кан менен камсыз болушунун бузулушу менен мүнөздөлүүчү шарт. Изилдөөнүн максаты - алардын изилдөө кеңейтүү максатында , дбн тема изилденген библиографиялык издөө жана баалоо жүргүзүү. Материалдар жана ыкмалар. 2019-2024-жылдар аралыгында Заманбап адабияттарды карап чыгуу. Чет элдик авторлордун, ошондой эле Кыргызстан менен коңшу өлкөлөрдүн басылмаларын изилдөө үчүн жеткиликтүү болгон. Натыйжалар. Заманбап изилдөөлөр, клиникалык аспектилер, анын ичинде таралышы, этиопатогенези, топографо анатомиялык өзгөчөлүктөрү, жана диагностикалык аспаптар. Жыйынтыгы. Вертебробазилярдык артериялык жетишсиздиктин диагностикалык иш-чараларын жүргүзүү актуалдуу маселе бойдон калууда, аны чечүү ДБН профилактикасынын натыйжалуулугун жогорулатууга мүмкүндүк берет.

Introduction. Acute vertebrobasilar insufficiency (IBD) is a condition characterized by impaired blood supply to the brain due to compression or obstruction of the vessels of the vertebrobasilar system. The purpose of the study: To conduct a bibliographic search and an assessment of the elaboration of the topic of VDNH, in order to expand their research. Materials and methods. A review of modern literature has been conducted for the period from 2019-2024. Publications by foreign authors, as well as from neighboring countries of Kyrgyzstan, were available for study. Results. Modern research, clinical aspects, including concepts of prevalence, etiopathogenesis, topographic anatomical features, and diagnostic tools are presented. Conclusions. The implementation of diagnostic measures for vertebrobasilar arterial insufficiency continues to be an urgent task, the solution of which will increase the effectiveness of the prevention of IBD.
Economic Value of Ecosystem Services Associated with Atlantic River Corridors in the Northwest of the Iberian Peninsula
Authors:   INDUROT, Universidad de Oviedo., García de la Fuente Laura , García Manteca Pilar , Fernández García Maria , Sanna Mauro , González Rodríguez Gil
Published: May 2024

Valuing the benefits of conserving river corridors is essential to recognize the contribution of this natural capital to our well-being. This study aims to quantify the economic value of welfare improvements from the restoration of Atlantic River corridor habitats in Natura 2000 Network sites in the northwest Iberian Peninsula included in the LIFE Fluvial project. The contingent valuation method was used to estimate a discrete choice econometric model of willingness to pay for actions that protect ecosystem benefits associated with riparian forest restoration, and more than 600 residents and visitors in four major project areas were surveyed in 2021. The average willingness to pay was almost € 53 per resident and year (annual benefit to residents for the use, enjoyment and knowledge of the ecosystem services provided by these sites) and € 42 per visitor and year. By extrapolating these values to the population and visitors of the most representative sample areas we got an economic value for this type of conservation action of 4.2 million euros per year, much higher than the cost of implementing the entire project (3.03 million euros).
RETROSPECTIVE ANALYSIS OF STRATEGIC TRANSFORMATIONS IN THE KAZAKHSTANI HEALTHCARE SYSTEM
Authors:   Scandinavian Institute of Academic Mobility, Vanhemping E. , Zharlygassinov Т. ,   Al-Farabi Kazakh National University
Published: May 2024

In this article a retrospective analysis of strategic transformations in the sphere of Kazakhstani healthcare is carried out. The study covers the period of time during which new strategies and approaches to health care delivery were introduced. The authors analyze the key changes caused by strategic decisions and assess their impact on the quality and accessibility of healthcare for the population. Particular attention is paid to successful strategic moves and to the problems and challenges that the health care system faced during the transformation process. The authors seek to draw valuable lessons for the future development of health care in Kazakhstan through a detailed analysis of past strategic transformations. The article makes a significant contribution to understanding the transformation of Kazakhstan's health care system. It also offers valuable recommendations for its further improvement and development. The results of the study may be useful for the development of future strategies to improve the health care system not only in Kazakhstan, but also in other countries. Historical analysis was applied in the preparation of the article to examine the context and previous reforms in the health care system, to understand the dynamics of change and their impact on the current state.
IOT-Enabled Radio Frequency Home Automation System
Authors: Afolarin Amusa , Misimioluwa Akewusola , Raphael Omeje , Yaw Mensah , Oluwadoyin Bamidele , Opeyemi Adelowo
Published: May 2024

The number one objective of this undertaking is to expand a present-day home automation device that leverages the abilities of the Internet of Things (IoT) and Radio Frequency (RF) technology. This device aims to deal with the evolving wishes of cutting-edge households through transitioning from manual switches to centralized, far flung-controlled systems. By integrating IoT-enabled gadgets which include smartphones, laptops, and drugs, the gadget gives improved comfort and manipulation over a extensive range, contingent upon the supply of a stable internet connection. Furthermore, this machine isn’t always most effectively beneficial for residential use but also affords sizable ability for business applications in business and medical settings. The integration of RF technology affords a simplified and effective solution for far off-managed home automation, catering to the elderly, disabled people, and facilitating green operations in numerous business environments. To obtain its functionality, the gadget is interfaced with a Wi-Fi module and an RF module, both linked to a microcontroller. This configuration permits the transmission of ON/OFF commands to a receiver, which in turn controls the connected masses. By running the faraway switch on the transmitter through an internet interface (thru the Wi-Fi module), users can remotely flip home equipment ON/OFF, harnessing the energy of wi-fi technology. This paper comprehensively explores the technological advancements and practical implications of these systems, as further elaborated in the ensuing segment.
Investigating the Effect of Ph Variation on the Optoelectronic and Structural Properties of Electrodeposited Copper Selenide Thin Films.
Authors: OLUSOLA O. O. , MUKOLU A. I.
Published: May 2024

Copper Selenide (CuSe) thin film compound semiconductors have been deposited onto fluorine doped tin oxide (FTO) conducting substrates using electrodeposition technique through various electrolytic bath pH values of 2.00, 2.20, and 2.40. The deposition was carried out in potentiostatic mode using a 2-electrode system set-up at room temperature for 15 minutes at the cathodic voltage of 500 mV. The electrical and the optical properties of the thin films were carried out using photoelectrochemical (PEC) cells and ultraviolet visible spectrophotometer respectively. CuSe thin film possesses a p-type electrical conductivity and the sample grown at semiconductor and a pH of 2.2 was recorded to have the highest PEC signal and highest photo and dark currents that brings forth its maximum power. The energy band gap values of the electrodeposited CuSe thin films were observed to be 2.30 eV, 2.20 eV, and 2.00 eV at bath pH values of 2.0, 2.2, and 2.4 respectively. The optical band obtained at the various pH decreases as pH increases and these band gap values agree with the bulk band gap of CuSe. The preferred orientation peak of electrodeposited CuSe layers exists as klockmannite (CuSe) and the highest peak intensity for the preferred orientation peak occurred at pH of 2.20. At this pH value, the electrodeposited CuSe layers have the highest crystallite sizes.
Nabilone for Chronic Non-Cancer Pain
Authors: CADTH
Published: May 2024

What Is the Issue?

Chronic pain is pain that lasts beyond 3 months. Chronic non-cancer pain conditions include osteoarthritis, low back pain, musculoskeletal pain, fibromyalgia, and neuropathic pain. Approximately 1 in 5 people in Canada live with chronic pain.
Nabilone (a cannabinoid) is indicated for the management of severe nausea and vomiting associated with cancer chemotherapy. Nabilone is also used in the management of chronic non-cancer pain. It is important to understand the potential benefits and harms of nabilone in people living with chronic non-cancer pain to support decision-making.

What Did We Do?

We sought to identify, summarize, and critically appraise literature comparing the clinical effectiveness of nabilone and placebo or alternative pharmacological options. We also searched for evidence-based guidelines that provide recommendations about the use of nabilone for the treatment of chronic non-cancer pain.
We searched key resources, including journal citation databases, and conducted a focused internet search for relevant evidence published since 2015. One reviewer screened articles for inclusion based on predefined criteria, critically appraised the included studies, and narratively summarized the findings.

What Did We Find?

We found 1 overview of reviews and 2 systematic reviews that assessed the clinical efficacy and safety of nabilone for the treatment of chronic non-cancer pain.
The evidence on the clinical efficacy of nabilone was mixed with some studies reporting an improvement in pain in those treated with nabilone versus placebo or active comparators and other studies reporting no difference between groups. Adverse events were more common in people living with chronic non-cancer pain who received nabilone than those who received placebo, ibuprofen, or amitriptyline. Adverse events were more common in those who received dihydrocodeine or gabapentin than nabilone.
It is uncertain if nabilone is an effective treatment for people living with chronic non-cancer pain due to the varied results and methodological limitations of the included studies.
We found 1 guideline that included a recommendation specific to nabilone and 2 guidelines that included recommendations on the use of cannabinoids in general. One guideline recommends against the use of nabilone for chronic pain, 1 guideline recommends offering a trial of non-inhaled cannabinoids (such as nabilone) for people living with chronic pain, and 1 guideline suggests cannabinoids be avoided in people with osteoarthritis and low back pain and discussed with people with neuropathic pain.

What Does This Mean?

Due to the uncertainty of the clinical evidence, decision-makers may wish to consider other factors such as costs, equity, and patient values and preferences when making decisions on the use of nabilone for people living with chronic non-cancer pain.
Future high-quality, longer-term (e.g., RCT with follow-up studies) studies are needed to understand the efficacy and safety of nabilone for the treatment of people living with chronic non-cancer pain.
O ABUSO SEXUAL INFANTIL NO CONTEXTO INTRAFAMILIAR: UMA ANÁLISE INTERDISCIPLINAR DO DIREITO E DA PSICOLOGIA
Authors: Simões Cristiane Santos , Azevedo Flávia Regina Porto de
Published: May 2024

Esse artigo buscou analisar o abuso sexual intrafamiliar em crianças e adolescentes, enfocando as implicações jurídicas e promovendo uma intersecção entre psicologia, direito e outras áreas correlatas. Utiliza-se a metodologia dedutiva e meios bibliográficos, incluindo doutrina, legislação, jurisprudência, direito comparado e documentos disponíveis online. O estudo é de natureza qualitativa, visando verificar a eficácia do combate ao abuso sexual infanto-juvenil com o suporte de equipes interdisciplinares e pareceres psicológicos. A justificativa para a realização deste estudo reside na necessidade urgente de compreender e intervir no abuso sexual intrafamiliar, um fenômeno devastador que afeta a integridade e o desenvolvimento psicossocial de crianças e adolescentes. A abordagem interdisciplinar proposta visa não apenas elucidar as questões jurídicas e psicológicas envolvidas, mas também contribuir para a formulação de sugestões eficazes e o suporte jurídico-psicológico às vítimas.
DESENVOLVIMENTO DE UM APLICATIVO MÓVEL PARA FACILITAR O ACESSO A INFORMAÇÕES SOBRE MEDICAMENTOS EM TIJUCAS/SC
Authors: Coelho Luciano Figueiredo , Vieira Jaime Elias , Silva Telma Alessandra Correa da , Firmino Wender Cris de Souza , Machado Vlademir Jean , Wildson Caio
Published: May 2024

Objetivos: Este estudo visa desenvolver um aplicativo móvel para disponibilizar informações e facilitar o acesso a dados sobre medicamentos em Tijucas/SC. Métodos: Foi empregado uma abordagem qualitativa em um estudo de caso exploratório, utilizando o modelo Cascata para o desenvolvimento do aplicativo. Resultados: O aplicativo possibilitou a seleção de bairros, pesquisa e acesso a informações detalhadas sobre medicamentos, promovendo uma comunicação mais eficiente com as farmácias e contribuindo para a adesão ao tratamento. Conclusão: Os resultados indicam que o aplicativo é eficaz para melhorar o acesso a informações sobre medicamentos, destacando a relevância de soluções tecnológicas na área da saúde pública.