bluuebunny/crossref_metadata_2025 huggingface dataset:
Regulatives as a Way of Realising the Semantic Dominant “Son” in the Novel “Ulysses” by James Joyce
Authors: Kononov D.A.
Published: April 2024

This article considers meaning and textual production in stream-of-consciousness prose on the material of the novel “Ulysses” by J. Joyce. One of the aspects of this process is characterised on the example of the realisation of the semantic core “son” within the paradigm of regulativity. The classification of regulatives according to their functions in the text and possible influence on the recipient is proposed.
Improving hydration of care home residents by addressing institutional barriers to fluid consumption – an improvement project.
Authors:   , Bak Agnieszka
Published: April 2024

Background: Older people are at risk of dehydration due to a wide range of age related physiological changes. Additional conditions such as dementia or physical frailty may contribute to low fluid intakes and further predispose the older people to dehydration. Care home residents are more likely to be admitted to hospital with dehydration, but there are few recent studies that evaluated the amount of fluids that residents consume or the barriers to hydration that they experience. Little is also known about the care they receive and how this may influence their fluid intakes. Objectives: To assess current hydration care in care homes, identify barriers to drinking adequate amounts and develop strategies to optimise fluid intakes in the older care home residents. Method: This study was conducted in one care home in London, which provides care to a multi-ethnic population of residents. The exploratory phase used observations, focus groups and questionnaires to determine how drinks were provided and to explore attitudes of staff and residents towards hydration care. The intervention phase used Model for Improvement framework to identify and test strategies to improve hydration for the residents. Results: Observations revealed that most residents consumed less than the recommended minimum of 1500ml of fluids. Hydration was not seen as a priority, and this resulted in several barriers that prevented staff to provide sufficient fluids, and the residents to consume them. Interventions were designed to overcome these issues and included: increasing the number of drink opportunities, improving preference compliance and introducing a new drinking equipment. During the testing, most interventions resulted in the residents consuming more fluids, but sustaining these interventions was difficult. Barriers to sustainability included poor leadership and task-oriented work culture. Conclusions: This study demonstrated that fluid intakes in care home residents are suboptimal. This is mostly due to insufficient number of opportunities for the residents to obtain drinks as well as not receiving adequate assistance and preferred drinks. Interventions which target these barriers have a potential to increase fluid intakes. Care homes need to implement appropriate strategies, but this requires organisational commitment with support from senior managers and strong leadership at operational level.
Electronic Monitoring Systems for Hand Hygiene in Hospitals: Relationship to Practice and Exploration of Clinical Perceptions
Authors:   , Greene Carolynn
Published: April 2024

Appropriate hand hygiene at the five evidence-based moments proposed by the World Health Organization (WHO) during the delivery of patient care by healthcare workers (HCWs) is crucial in the prevention and control of healthcare associated infections. Audits of hand hygiene are required by health and social care regulators and organisations to provide assurance of practice. Compliance with hand hygiene is frequently low and electronic monitoring systems (EMSs) offer a potential way of generating data to inform improvement to practice which avoids some of the drawbacks of auditing via direct observation. It is important that these electronic systems generate data which is reflective of the reality of frontline practice in terms of the occurrence of opportunities for hand hygiene. Therefore, this mixed methods research aimed to fill a key gap in this field by developing a denominator for hand hygiene based on the average number of opportunities on inpatient wards in England. This was achieved via observations of the provision of care by frontline HCWs on two wards. In addition, compliance data captured during observations of care was compared with data from an EMS running concurrently on the wards. Following this, the second phase of the research explored the findings from the observation phase through interviews with frontline HCWs. Interview topics included the practical application of the five moments for hand hygiene, the role of audit in driving practice, the potential role of EMSs, and the impact on hand hygiene behaviour of the COVID-19 pandemic. This data can not only be used to inform a denominator for EMSs but also provides additional knowledge of the burden of hand hygiene for HCWs. Further to this, interviews revealed some of the key challenges and common issues which arise when applying hand hygiene in the dynamic hospital environment. It was found that during the COVID-19 pandemic the use of personal protective equipment (PPE) and motivation of self-protection created barriers to effective hand hygiene practice. This thesis provides insight into the perceived value and trustworthiness of data gathered during direct audit of practice, bringing its usefulness into debate. With triggers to audit, and greater staff engagement, often seen as a reactive response to an outbreak of infection rather than an ongoing process of embedded preventative practices. Of particular interest was how EMSs may be accepted as an adjunct to, not a replacement of, existing audit practice.
DYNAMIC ANNOUNCEMENT DISSEMINATION IN REAL-TIME VIRTUAL ENVIRONMENTS
Authors: M. Karuna,  , Sankeerthini Koppisetti , Rao Ippili Krishna , Bhavana Inti , Renuka Kotipalli , Meena Pallela
Published: April 2024

In the world of communication within organizations, the old-fashioned paper notice boards have faced persistent issues like slow and manual updates, limited accessibility, and environmental concerns tied to paper usage. The paper tackles historical issues associated with traditional notice boards by introducing an innovative solution that seamlessly merges web technology with hardware integration. To address these challenges, the work begins with the creation of a dynamic website integrated with Node MCU and an IOT development board. The Node MCU retrieves data from the website and displays it on an LED display, effectively eliminating the limitations of physical notice boards. The integration of Node MCU and LED display creates a seamless bridge between the virtual world of the web and the physical world of visual communication. Real-time updates become the norm, granting users immediate access to the latest information from anywhere, and facilitating interaction and engagement regardless of location. This project rectifies these historical shortcomings and introduces a sustainable, efficient, and user-friendly communication medium for organizations and communities, offering a compelling alternative to traditional notice boards.
EFFICIENT PLANT GAS LEAKAGE DETECTION AND MONITORING SYSTEM BASED ON IOT INTEGRATION
Authors: Chaitanya Kancharapu , Gayatri G.G.S.V. , Sai Ch. Pavan , B. Naveen  , A.Pujita
Published: April 2024

In industrial areas, fire breakouts often stem from gas leaks within the surrounding environment. These leaks could be caused by faulty apparatus, inadequate maintenance, or human mistake either during handling or storage of flammable gases. The presence of combustible gases poses a significant risk, as they can ignite easily and escalate into large-scale fires, endangering both personnel and property within the industrial site. This research employs a compact detection device capable of identifying combustible gases like propane, LPG Gas, Carbon Monoxide, butane, and other hazardous gases. The device is designed to identify these gases quickly and accurately, aiding in ensuring safety in various environments such as industrial sites, homes, and workplaces. The leakage detector includes NODEMCU, gas sensors, buzzer, and LCD system. When harmful gases surpass acceptable thresholds, the micro-controller initiates a alerting SMS using Blynk server. The prototype emits a sound alert and illuminates LCDs to indicate the leaking gas. Gas concentration datais sent to Thinkspeak server for easy monitoring by plant personnel.
MODELLING AND DESIGNING OF E BIKE USING SOLAR PANLES
Authors: Maheswara Rao Mr. P. , Varma D. Sravani , DevaCharan G.S.V , kumar K. Lalith , M. Avinash kumar
Published: April 2024

The rider of an E-bike has the option to rely solely on the motor, pedal while using the motor simultaneously, or pedal only, akin to a conventional bicycle. It's essential that the installation of photovoltaic (P.V.) panels on the electric bicycle does not compromise riding comfort. The idea behind solar energy integration is to equip the bicycle with a high-torque motor powered by solar energy absorbed through portable solar panels. This energy can directly power the motor if it meets requirements; otherwise, a battery serves as backup. During periods of inactivity, such as daytime, the solar panel charges the battery, enhancing the bike's efficiency. This is where electric bicycles shine, offering a green, health-conscious, and swift mode of transportation. Beyond these benefits, electric bicycles can even generate electric power through regenerative pedal power mode. The versatility of an Electric Bicycle extends to various uses. Our goal is to create an Electric Bicycle available at the most affordable rate compared to market prices.
The Influence of Long-term and Short-term Variables on the Oil Prices, Money Supply, Policy Rates, Output Gaps, Rupiah Exchange Rate and Gross Fixed Capital Formation on Inflation in Indonesia
Authors: Wahyudi Heru
Published: April 2024

This study examines the influence of long-term and short-term variables on oil prices, money supply, policy rates, gross fixed capital formation (PMTB), rupiah exchange rate against the dollar, and output gaps on inflation in Indonesia. Indonesia is one of the countries with the highest population in the world as well as one of the countries with the most significant oil wealth in the world. However, Indonesia is still classified as a developing country. One of the indicators in a country’s economy is the inflation rate. This study used secondary data from 2006:Q1-2018:Q4 with the Error Correction Model (ECM) analysis method. The result of this study is that the variable oil prices and money supply in the short and long term have a positive and significant effect on Indonesia’s inflation. In the short and long term, variable policy rates negatively and significantly impact Indonesia’s inflation. Gross fixed capital formation and the output gap in the long and short term have an insignificant positive impact on Indonesia’s inflation.
Da contextualização do 'quiet quitting' e sua qualificação como liberdade de expressão e direito de defesa do trabalhador na legislação trabalhista brasileira
Authors: Barroso Fábio Túlio , Santana Laís Gabriela Izis de
Published: April 2024

Contextualização: O Quiet Quitting, nomenclatura que ganhou destaque em 2022, por meio de um vídeo publicado em rede social pelo autor Zaid Khan, bem como, por meio de uma pesquisa realizada pela Gallup Poll, em que se constatou o crescimento de desengajamento nas relações de trabalho, veio para representar um comportamento efetuado pelos trabalhadores desgastados em decorrência de vários fatores laborais. Ocorre que esse comportamento consiste em uma prática pacífica, que tem o propósito de proporcionar equilíbrio entre a profissão e a vida.
Objetivo: Nessa medida, reconhecendo-se que se trata de um direito de resistência, se busca analisar o problema do seu reconhecimento como liberdade de expressão e de defesa na legislação trabalhista brasileira.
Método: Trata-se de uma pesquisa exploratória, com metodologia de pesquisa bibliográfica, com a investigação em livros, artigos, revistas e periódicos. Além disso, poderão ser instrumentos de análise, pesquisas com dados sociais, jurisprudências e noticiários em torno do assunto, no sentido de uma abordagem interdisciplinar e atual sobre o tema.
Resultados: Percebe-se que a ausência de legislação própria e a similaridade com algumas faltas graves dispostas no art. 482, da CLT, dificultam o reconhecimento de qualificação do Quiet Quitting como liberdade de expressão e direito de defesa do trabalhador na legislação trabalhista brasileira.
NEW OPPORTUNITIES FOR EARLY RELEASE FROM SERVING A SENTENCE IN THE CONTEXT OF THE SPECIAL MILITARY OPERATION (SVO)
Authors: Соколов А.А.
Published: April 2024

В данной статье кратко рассматриваются виды возможного освобождения от отбывания уголовных наказаний военнослужащими и лицами, желающими поступить на военную службу. На основе анализа действующего законодательства и доктринальных положений отдельно выделяются основания освобождения военнослужащих от отбывания наказания. Затрагиваются проблемы освобождения лиц, желающих возобновить или начать службу в армии сразу после отбытия наказания. Отдельно проанализированы положения федеральных законов от 24.06.2023 № 269-ФЗ и № 270-ФЗ, которые были специально приняты для устранения некоторых коллизий в исследуемой области общественных отношений. Вместе с тем отмечается, что указанные законы, устранив одни проблемы столкновения норм, привели к некоторым другим вопросам. Обращается внимание на возрастающую обеспокоенность общественности, связанную с направлением в район проведения специальной военной операции осужденных, досрочно освобожденных от отбывания наказания. Также рассмотрены вопросы освобождения от отбывания наказания военнослужащих – граждан иностранных государств. В свете внешнеполитических событий, актуальность исследования данных вопросов не вызывает сомнения. При разработке проблемы использовались общенаучные методы диалектики, сравнительно-правового анализа, метод моделирования. В результате предлагаются некоторые возможные изменения в действующее законодательство.

This article briefly examines the types of possible exemption from serving criminal sentences for military personnel and persons wishing to enlist in military service. Based on an analysis of current legislation and doctrinal provisions, the grounds for the release of military personnel from serving their sentences are separately identified. The problems of releasing persons wishing to resume or begin military service immediately after serving their sentence are touched upon. The provisions of federal laws no. 270-Federal law and no. 269-Federal law dated June 24, 2023, which were specifically adopted to eliminate some conflicts in the area of public relations under study, are analyzed separately. At the same time, it is noted that these laws, having eliminated some problems of conflict of norms, led to some other issues. Attention is drawn to the growing public concern associated with the deployment of convicts early released from serving their sentences to the area of a special military operation. A significant part of the article is devoted to issues of exemption from serving sentences for military personnel who are citizens of foreign states. In light of foreign policy events, the relevance of studying these issues is beyond doubt. When developing the problem, general scientific methods of dialectics, comparative legal analysis, and modeling methods were used. As a result, some possible changes to the current legislation are proposed.
CAUSES AND CONDITIONS OF CRIMES COMMITTED BY MINORS
Authors: Бякина С.И. , Душин Д.Н.
Published: April 2024

Статья посвящена анализу детерминант преступности несовершеннолетних. Важность темы связана с тем, что интенсивная криминализация несовершеннолетних, которая остается, пожалуй, одной из самых серьезных и актуальных проблем российского общества, влияет на уровень преступности в России в перспективе. В научном аспекте довольно актуальным видится исследование причин и условий преступлений, совершаемых анализируемой категорией лиц. Для этого авторами исследуются статистические данные о количестве совершаемых ими преступлений с 2012 по 2022 гг., юридическая литература по затрагиваемой теме. В результате их осмысления, отмечаются негативные тенденции, обуславливающие совершение лицами, не достигшими 18 лет, общественно опасных деяний. В частности, «омоложение» преступности, феминизация преступлений, групповой характер преступлений, рост числа преступлений экстремистского характера. Делаются выводы о необходимости преодоления существующих проблем комплексным воздействием на источники «детской» преступности, в том числе при использовании предложенных авторами мер. Обоснована важность развития государственных программ, направленных на защиту воспитания и здоровья молодежи, применения мер по изменению общей социально-экономической картины в стране, расширения сети бесплатных центров творческой, спортивной и иной общественно полезной занятости подростков. Авторами подчеркивается необходимость усиления контроля за использованием несовершеннолетними информационного пространства, в частности, сети «Интернет».

The article is devoted to the analysis of the determinants of juvenile delinquency. The importance of the topic is related to the fact that the intensive criminalization of minors, which remains perhaps one of the most serious and urgent problems of Russian society, affects the crime rate in Russia in the future. From a scientific point of view, it is quite relevant to study the causes and conditions of crimes committed by the analyzed category of persons. To do this, the authors study statistical data on the number of crimes committed by them from 2012 to 2022, as well as legal literature on the subject. As a result of their comprehension, negative trends are noted that cause socially dangerous acts to be committed by persons under the age of 18. In particular, the «rejuvenation» of crime, the feminization of crimes, the group nature of crimes, and the increase in the number of extremist crimes. Conclusions are drawn about the need to overcome existing problems by a comprehensive impact on the sources of «child» crime, including when using the measures proposed by the authors. The importance of developing state programs aimed at protecting the upbringing and health of young people, applying measures to change the overall socio-economic picture in the country, expanding the network of free centers for creative, sports and other socially useful employment of adolescents is substantiated. The authors emphasize the need to strengthen control over the use of information space by minors, in particular, the Internet.
Neuritis Bilateral en Niños
Authors: Tafur Delgado Juan Esteban , Vellojín Olivares Alba Lucía , Ramos Contreras Angelica Patricia , Mier Zúñiga Paola Andrea , Ordosgoitia Betín Melisa Eugenia , Garay Borrero María Paulina , Padilla Martínez Erlinda del Carmen , Peñaranda Castilla John Hamer , Almanza Martínez María Fernanda
Published: April 2024

El término neuritis óptica (NO) se refiere a lesiones ocurridas en el nervio óptico. En pediatría, su incidencia anual estimada es de 0.2 por 100.000 niños con un predominio femenino según la literatura. El cuadro clínico de esta patología es poco frecuente y cuando  se presenta suele ser después de un cuadro infeccioso, con edema de papila, que generalmente es bilateral y de buen pronóstico, dentro de la clínica, la pérdida de la visión progresiva y consecuentemente la alteración de la marcha por esta misma , la cefalea, fiebre, dolor ocular en algunos casos suelen ser las manifestaciones más frecuentes, sin embargo, el cuadro puede estar asociado a la patología base originalmente infecciosa que llevó a la neuritis.Para diagnosticar esta patología, la resonancia magnética cerebral es la técnica de imagen de elección y debe realizarse preferentemente durante las dos semanas siguientes a los síntomas iniciales.La identificación temprana de esta condición es crucial para implementar estrategias de tratamiento que minimicen el impacto a largo plazo en la función visual y promuevan un manejo integral de posibles factores subyacentes.El objetivo del presente artículo es realizar una revisión bibliográfica actualizada de la patología neuritis bilateral en la población pediátrica
АШЫҚ ҚАРА-ҚОҢЫР ТОПЫРАҚ ЖАҒДАЙЫНДА ЖҮГЕРІНІҢ ӨСІП-ДАМУЫ МЕН ӨНІМДІЛІГІН АРТТЫРУДА БИООРГАНИКАЛЫҚ ТЫҢАЙТҚЫШТЫҢ ӘСЕРІ
Authors: Қарабаев Қуаныш , Сулейменов Бейбут , Сманов Әшірәлі
Published: April 2024

Мақалада Қазақстанның оңтүстік-шығысында жүгері өсіру кезінде қолданылатын отандық «БиоЭкоГум» сұйық биоорганикалық тыңайтқыштың қолдану мәселелері қарастырылды. Зерттеу нәтижелері бойынша, тұқымдарды «БиоЭкоГум» сұйық биоорганикалық тыңайтқыш ерітіндісімен егу алдында өңдеу өсімдіктің өнгіштігін 10-30 % - ға жоғарлатты. Дақылдардың вегетациялық кезеңдер бойынша бүрку өсімдіктің өсуі мен дамуын күшейтті, өнімділігін 14-тен 80 %-ға дейін жоғарлатты, биомассаның өсуіне ықпал етеді жүгері тамырларын 50 %-ға арттырады. Биоорганикалық тыңайтқыштың құрамында өсімдіктерге қажетті макро және микроэлементтер бар, жүгеріні өңдеу және бүрку Қазақстанның оңтүстік-шығысында кеңінен қолдану үшін ұсынылады.
Aesthetic Improvement: Innovating the Design and Development Framework for Engineering Products
Authors: Mohd Qadafie Ibrahim  , Fairuz Izzuddin Romli  , Hambali Arep
Published: April 2024

One of the primary issues with many product design and development processes today is to have a good balance between the elements of form and function. While all products must be able to perform their intended functions, considerations of aesthetic features are also necessary for them to be accepted as a good quality design. However, most available design and development processes of engineering products have been more focused on achieving the functional aspects and tend to treat the aesthetic aspects as less crucial features. This approach has led to many failed functional products in the market as their physical design lacks appealing factors to the targeted customers. To improve the situation, a new product design and development framework is proposed in this study to better facilitate designers or engineers in creating an all-rounded quality product design. This new method is developed based on the findings from a conducted survey among engineering students, who are future product design engineers, to identify and resolve issues with current methods that they use for their design tasks. All in all, the new proposed method is essentially tailored to offer a comprehensive guide for developing beautiful and useful products based on a semantics design approach.
Decomposition of Disaster Region using Earthquake Parameter and STDM Distance: Catastrophe Bond Pricing Single Period
Authors: Wulan Anggraeni  , Sudradjat Supian  , Sukono  , Nurfadhlina Abdul Halim
Published: April 2024

Investor interest in single-regional earthquake catastrophe bonds has the potential to decline in the future. To pique investor interest, disaster bond prices can be determined by decomposed disaster zones using seismic parameters and Space Time Depth Magnitude (STDM) distance. Therefore, this study aims to develop a Decomposition of Disaster Region Using Earthquake Parameters and STDM Distance on the Earthquake Catastrophe Bond Pricing (DECBP) model for a single period. The basic idea of developing the model is to observe earthquake characteristics in an area by clustering the area based on the Earthquake Disaster Risk Index (EDRI), earthquake parameters (earthquake magnitude and depth), and STDM distance. The research and development (R&D) methodology used in this work is pursued through the creation of a mathematical model for calculating the price of earthquake catastrophe bonds over a single period. The development stages carried out are regional decomposition modelling, payment functions modelling, distribution of extreme earthquake magnitude values modelling, prediction of interest rates and coupons, numerical simulations, and analysis of the effect of interest rates, coupons, and the amount of regional decomposition on earthquake bond prices. Interest rates, coupons, and the number of regional decompositions that affect bond prices for earthquake events are the results of the analysis of the model that's been developed. The resulting model in this study is expected to assist the Super Purpose Vehicle (SPV) in determining the price of earthquake bonds and serve as a reference for future researchers developing models for the price of earthquake catastrophe bonds.
Sentiment Analysis on The Place of Interest in Malaysia
Authors: Qiryn Adriana Kharul Zaman  , Wan Nur Syahidah Wan Yusoff  , Qistina Batrisyia Azman Shah
Published: April 2024

This study focuses on utilizing machine learning methods for sentiment analysis to identify positive and negative comments regarding Malaysian Places of Interest (PoI). The data was collected from Twitter using social media monitoring software and organized into tables. Pre-processing techniques and Natural Language Processing (NLP) methods were applied to handle missing values and prepare the text data for analysis. The dataset was then split into training and testing sets, and three supervised learning algorithms which are Support Vector Machine, Random Forest, and Naive Bayes were employed to evaluate the sentiment analysis models. The performance of each model was compared, and it was found that Support Vector Machine achieved the highest accuracy, recall score, F1 score, and precision score. This study demonstrates the potential to extend sentiment analysis to analyze sentiments expressed in texts written in the Malay language by utilizing the Malaya corpus. Additionally, visual dashboards can be created to present the findings and provide recommendations based on the insights gathered from the sentiment analysis of PoI feedback.
Ensemble Transfer Learning for Hand-sign Digit Image Classification
Authors: Andi Muhammad Amil Siddik  , Ainun Mawaddah Abdal  , Armin Lawi  , Edy Saputra Rusdi
Published: April 2024

Hand sign classification is a challenging task in image processing and machine learning. Robust learning algorithms are essential to achieve optimal performance. Ensemble transfer learning, a technique that combines ensemble learning and transfer learning, is a promising approach to improve classification model performance. This study investigates the use of ensemble transfer learning for hand sign classification. The Sign Language Digits Dataset, which contains ten distinct handwritten image types, was used to evaluate the performance of three architectures: ResNet-50, VGG-19, and Ensemble Transfer Learning (a fusion of ResNet-50 and VGG-19). The results showed that all three architectures performed well, but Ensemble Transfer Learning achieved the best performance with an accuracy of 96.12%, precision of 96.06%, recall of 96.21%, and F1 score of 96.07%. This suggests that ensemble transfer learning can effectively enhance model performance in image hand sign classification. The study also found that combining ResNet-50 and VGG-19 in Ensemble Transfer Learning yielded superior results compared to individual models. This is because ensemble transfer learning can leverage the strengths of both models to improve the overall performance. The findings of this study highlight the significance of employing ensemble transfer learning techniques to enhance accuracy and reliability in hand sign image classification.
PENGEMBANGAN BUKU DIGITAL CERITA BERGAMBAR UNTUK PEMBELAJARAN TEMATIK SISWA SD
Authors: Wulandari Meli , Satriyani Febrianti Yuli
Published: April 2024

Penelitian ini dibuat berdasarkan kebutuhan dan karakteristik siswa SD. Penelitian ini dilaksanakan dengan tujuan menghasilkan buku digital cerita bergambar untuk pembelajaran Tematik yang valid secara teoretis dan efektif untuk digunakan dalam pembelajaran. Penelitian dilakukan menggunakan model pengembangan ADDIE (Analysis, Design, Development, Implementation, dan Evaluation). Buku digital cerita bergambar untuk pembelajaran tematik memperoleh nilai rata-rata dari ahli bahasa sebesar 82%, ahli media 96%, ahli materi 86%, dan ahli praktisi 90%. Dari rata-rata skor yang dihasilkan maka produk dapat dikategorikan sangat valid atau sangat layak untuk digunakan. Hasil penelitian yang diberikan kepada siswa berupa angket penilaian pada 3 tahap uji coba media dan pada uji coba skala besar memperoleh nilai 95% yang dikategorikan sangat menarik. Penggunaan buku digital cerita bergambar untuk pembelajaran Tematik terbukti memenuhi aspek kelayakan untuk digunakan dalam pembelajaran dan berhasil meningkatkan hasil belajar siswa SDN Kuningan Barat 01 Pagi Jakarta. Hal tersebut dapat dibuktikan dari hasil nilai post test siswa saat uji coba. Hasil nilai siswa mengalami peningkatan sebanyak 22,05% yaitu dari persentase rata-rata nilai pre test sebelum penggunaan produk sebesar 68% dimana hanya 11 dari 23 siswa yang lulus standar KKM dan persentase rata-rata nilai siswa saat post test atau setelah menggunakan produk sebesar 83% dimana seluruh siswa lulus standar KKM.
PENERAPAN PEMBELAJARAN STEAM UNTUK MENINGKATKAN MINAT BELAJAR DAN KEMAMPUAN BERPIKIR KRITIS SISWA SD
Authors: Eka Sari Lingga , Syahrial  , Risdalina
Published: April 2024

Pembelajaran abad 21 harus relevan dengan tuntutan serta tantangan hidup yang nyata, seperti mengembangkan keterampilan kerja sama, memecahkan masalah, kemampuan berpikir kritis, keterampilan menguasai diri dan teknologi, serta kemampuan dalam mengolah informasi serta berkomunikasi dengan efektif. Namun, pembelajaran yang dilakukan saat ini kurang inovatif berdampak terhadap minat belajar rendah serta belum bisa membuat peningkatan kemampuan berpikir kritis peserta didik. Tujuan penelitian ini yaitu untuk meningkatkan minat belajar dan kemampuan berpikir kritis peserta didik sesudah adanya penerapan pembelajaran dengan STEAM. Subjek penelitian yaitu peserta didik kelas 3 SDN 198/I Pasar Baru. Desain penelitian menggunakan penelitian tindakan kelas yang dilakukan sebanyak dua siklus, satu siklus terdiri dari 4 tahapan yaitu perencanaan, pelaksanaan, observasi, dan refleksi. Data penelitian dikumpulkan melalui observasi, wawancara, angket dan dokumentasi. Hasil penelitian memperlihatkan minat belajar dan kemampuan berpikir kritis mengalami peningkatan tiap siklusnya. Pada siklus I minat belajar 78,03% kategori baik dan siklus II meningkat menjadi 80,30% kategori baik. Sedangkan kemampuan berpikir kritis siklus I 59,13% kategori cukup kritis dan meningkat di siklus II menjadi 79,9% kategori kritis. Dapat disimpulkan penerapan pembelajaran STEAM bisa meningkatkan minat belajar dan kemampuan berpikir kritis peserta didik.
POTRET MULTIMEDIA INTERAKTIF PADA PEMBELAJARAN DARING SELAMA PANDEMI COVID-19
Authors: Bimo Djoko Sri , Dartani Maria Yustina Rensi
Published: April 2024

Pandemi Covid-19 berdampak pada perubahan tatanan pendidikan di Indonesia, yaitu dari sistem pembelajaran tatap muka menjadi sistem pembelajaran jarak jauh. Salah satu jenis pembelajaran jarak jauh adalah pembelajaran daring. Tujuan penelitian ini adalah untuk mengidentifikasi kontribusi multimedia dalam meningkatkan pemahaman siswa terhadap pembelajaran daring dan menganalisis fungsi media pembelajaran alternatif (multimedia interaktif) pada masa pandemi Covid-19, dengan menggunakan metode penelitian kualitatif berbasis studi kepustakaan (Library Research). Pengumpulan data menggunakan metode dokumentasi yang berasal dari sumber pustaka. Analisis data menggunakan teknik analisis isi, yang mengadaptasi setiap sumber atau artikel yang digunakan dan membandingkan konteksnya dengan artikel lain baik dari buku, jurnal, maupun makalah penelitian lainnya. Temuan menunjukkan bahwa multimedia dapat digunakan sebagai sumber belajar untuk pembelajaran daring. Multimedia juga dapat meningkatkan minat dan motivasi belajar anak yang sering menurun di masa Covid-19. Proses pembelajaran tetap aktif walaupun tidak dilakukan secara tatap muka. Termasuk segala fasilitas dan dukungan untuk memastikan pembelajaran daring dapat dilaksanakan, mulai dari akses internet, perangkat seperti smartphone dan notebook, serta tersedianya sinyal yang memadai.
PENINGKATAN KREATIVITAS DAN PERCAYA DIRI MELALUI PEMBELAJARAN BERDIFERENSIASI PADA PELAJARAN IPS SD
Authors: Dian Aprelia Rukmi  , Khosiyono Banun Havifah Cahyo
Published: April 2024

Penelitian ini bertujuan untuk mengetahui efektivitas pembelajaran berdiferensiasi yang diterapkan pada pembelajaran IPS di kelas V dalam meningkatkan kreativitas dan rasa percaya diri peserta didik. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK). Penelitian ini menggambarkan proses perencanaan, kegiatan pembelajaran, evaluasi sampai hasil dalam pembelajaran yang menerapkan pembelajaran berdiferensiasi. Pengumpulan data dilakukan dengan menggunakan tes diagnostik, observasi, unjuk kerja, dan tes akhir. Subjek penelitian ini adalah peserta didik kelas V SD Negeri Kiyaran 2 Kapanewon Cangkringan Tahun Pelajaran 2022/2023 sejumlah 14 peserta didik yang terdiri dari 8 laki-laki dan 6 perempuan. Berdasarkan hasil penelitian menunjukkan bahwa pembelajaran berdiferensiasi memberikan pengaruh positif terhadap kreativitas dan percaya diri peserta didik. Hal ini ditunjukkan dengan meningkatnya nilai rata-rata kreativitas peserta didik dari kondisi awal 56,43 meningkat pada siklus I menjadi 67,86 dan pada siklus II meningkat menjadi 79,29. Tingkat percaya diri peserta didik juga mengalami peningkatan yang semula 60,77 meningkat pada siklus I menjadi 73,85 dan pada siklus II meningkat menjadi 80. Selain itu, pembelajaran berdiferensiasi juga dapat meningkatkan hasil belajar peserta didik dengan ditunjukkan nilai ulangan rata-rata yang semula 59,71 mampu meningkat pada siklus I menjadi 80,21 dan pada siklus II meningkat menjadi 84,14.
IMPLEMENTASI SUPERVISI KLINIS BERDASARKAN GAYA KEPEMIMPINAN KEPALA SEKOLAH DALAM MENGEMBANGKAN KREATIVITAS GURU
Authors: Maesun  , Suherman  , Rusdiyani Isti
Published: April 2024

Tujuan dalam penelitian ini yaitu : (1) Bagaimana perencanaan implementasi supervisi klinis berdasarkan gaya kepemimpinan kepala sekolah gugus 5 Kecamatan Cipondoh Kota Tangerang; (2) Bagaimana gaya kepemimpinan dalam mengembangkan kreativitas guru gugus 5 Kecamatan Cipondoh Kota Tangerang; (3) Bagaimana hasil implementasi supervisi klinis berdasarkan gaya kepemimpinan dalam mengembangkan kreativitas guru gugus 5 Kecamatan Cipondoh Kota Tangerang; dan (4) Faktor-faktor pendukung dan penghambat implementasi supervisi klinis berdasarkan gaya kepemimpinan dalam mengembangkan kreativitas guru gugus 5 Kecamatan Cipondoh Kota Tangerang. Pendekatan kualitatif dengan metode yang digunakan yaitu Studi Desktiptif. Hasil dari penelitian ini Yaitu: (1) Supervisor mencatat temuan dan melakukan tindak lanjut perbaikkan, bimbingan dan saran untuk memperbaiki kekurangan guru dalam mengajar; (2) Kepala sekolah bersikap otoriter dalam kedisiplinan dan bersikap demokratis dalam forum rapat; (3) Melalui supervisi klinis kepala sekolah memberikan perlakukan khusus kepada guru dalam memberikan arahan dan bimbingan untuk mengkatan pengetahuan dan pembelajaran; dan (4) Faktor pendukung membangun komitmen, Saling mendukung. Faktor penghambat takut gagal dalam berinovasi, kurang komitmen serta kolaborasi dan koordinasi.
Innovative Polygon Trend Analysis Method: A Case Study of the South Gujarat Region
Authors:   Department of Civil Engineering, Dr. S. & S. S. Ghandhy Government Engineering College, Surat 395001, Gujarat, India, Patel A. , Prajapati K. , Chadsaniya J. , Mehta D. , Waikhom S.
Published: April 2024

The unpredictability of precipitation can have dramatic impacts on agriculture, ecosystems, and water resource manage¬ment. It is needed to study the change in trends of precipitation due to climate change. The present aims to assess the impact of climate change, trend analysis using the Innovative polygon trend analysis (IPTA) method considering monthly precipitation data of 120 years for seven districts of South Gujarat. Further comparison is carried out with the trends predicted by the well accepted Mann-Kendall (M-K) method. IPTA method shows increasing trends during the monsoon season (June and August) but decreasing trends for the monthly precipitation of July for all seven districts. It can be said that over the period of years, less precipitation occurs in the month of July. De- creasing trends are observed for the post-monsoon and pre-monsoon seasons. No trend is observed for the monthly precipitation of Febru- ary which demands preparedness in the water Management system. Interestingly, monthly variation of trends is observed for Dang Dis- trict for both monsoon and post-monsoon seasons. However, a variation in trends in the monsoon season leads to difficulties in the water management system, and sometimes flood events occur. Trends predicted by the Mann-Kendall method show decreasing trends in the post-monsoon season and increasing trends for the monsoon season. Whereas Tapi and Bharuch districts show decreasing trends in the month of June. No trend is predicted in the pre-monsoon season. Comparative analysis of trends predicted by IPTA and M-K method shows similar results for Post Monsoon. IPTA predicts decreasing trends in pre-monsoon season whereas the M-K test shows no trends in pre-monsoon season. The monthly prediction by IPTA may bring useful information for water utility sectors and decision-makers in the study area.
Investigating the Impact of the Central Agricultural Research Institute's (CARI) Agricultural Extension Services on the Productivity and Livelihoods of Farmers in Bong County, Liberia, from 2013 to 2017
Authors: Bellet Mulbah Silas , S. Flomo, Jr. Mogana
Published: April 2024

In Liberia, a country where agriculture plays a pivotal role in socio-economic development and food security, the effectiveness of agricultural extension services remains crucial yet underexplored, especially in the context of transitioning from subsistence to commercial agriculture. This study focuses on assessing the Central Agricultural Research Institute's (CARI) agricultural extension services' impact on the agricultural productivity and livelihoods of farmers in Suakoko, Jorquelleh, and Yealliquelleh districts of Bong County, from 2013 to 2017. The objectives were to evaluate the accessibility and adoption of agricultural innovations disseminated by CARI and analyze the effectiveness of its extension delivery methods. Employing a mixed-methods approach, the research yielded significant findings: 54.1% of respondents were male, indicating a gender disparity in agricultural engagement. The adoption of new technologies and practices was varied, with 43.3% of farmers reporting access to new fertilizer application methods as the most prominent innovation provided by CARI. Despite the extension efforts, 68.8% of farmers did not receive visits from CARI agents, and a considerable 50% reported no access to new innovations or technologies. The study also highlighted a distinct preference for learning through demonstrations (73.7%) and meetings (25%), underscoring the demand for practical and interactive extension services.
Heart Disease Prediction Using ML
Authors: Sangeetha M. , Kumar S.Arun , Bharathi K. Pazhani , Guru P .Kumara , Prakash Reddy P.Bhuvan
Published: April 2024

Machine Learning and artificial intelligence have found valuable on variety of disciplines during their growth, particularly in the light of massive increase in data in recent years. It has the potential to be more dependable in terms of producing quicker and more accurate illness prediction judgments. Therefore, the use of machine learning algorithms to forecast different diseases is growing. Building a model can also aid in the visualization and analysis of diseases to increase the accuracy and consistency of reporting. This article has looked into using several machine learning algorithms to identify cardiac disease. This article's study has demonstrated a step procedure. In a dataset on heart disease initially prepared in the format needed to run machine learning algorithms. The UCI is the source of patient medical records and other data. The presence are absence of heart disease in patients is then ascertained using the heart disease dataset. Second, this paper presents a number of noteworthy findings. The confusion matrix is used to validate the accuracy rate of machine learning methods, including Gradient Boosting Classifier, Support Vector Machine, and Logistic Regression. According to recent research, the Logistic Regression method outperforms other algorithms in terms of accuracy, yielding a high 95% rate. It also outperforms the other four algorithms in terms of recall, precision, and f1-score correctness. The difficult and future research component of this project will be raising the accuracy rates of the machine learning algorithms to between 97% and 100%.
An Augmented and Virtual Reality based Application for Enhanced Campus Exploration
Authors: K. S. Gururaj , C. L. Annapoorna , G. S. Shreya , S. A. Shrutha , Hegde Smruti
Published: April 2024

Introducing a ground breaking Augmented Reality(AR)-Virtual Reality (VR) campus tourexperience developed on the Unity3D platform and optimized for deployment on Oculus Meta Quest headsets. This immersive application revolutionizes the traditional campus visit, allowing users to explore campus buildings and amenities from their smartphones. Through high- quality 360-degree films, interactive 3D models, and engaging components, prospective students, parents, and visitors gain an in- depth understanding of the campus environment. By learning to develop and utilize this technology, individuals open doors to diverse career opportunitiesin fields such as virtual reality development, augmented reality design, and immersive experience creation. Moreover, the application enhances decision- making for prospective students and strengthens their connection to the institution, setting a new standard for campus exploration experiences while also fostering innovation and creativity in educational technology.
Recommendations for incorporating simulation-based education in ophthalmology
Authors: Labuschagne Mathys , Filipe Helena Prior , du Preez Isabella
Published: April 2024

Recommendations for incorporating simulation-based education in ophthalmology are presented in an infographic. The recommendations include creation of an effective simulation environment, the ethical considerations, imbedding SBE in the curriculum, follow accreditation standards and creation of collaborations and partnerships. The infographic summarises the last of four articles on good practices in simulation-based education in ophthalmology, but the principles can be applied to other disciplines as well.
TRAM-TRAIN SYSTEM AS A POTENTIAL TRANSPORT SOLUTION FOR THE OLOMOUC REGION
Authors: Metelka Stanislav , Janoš Vít
Published: April 2024

The article is focused on the frequently discussed topic of suburban and regional railway system modernization comparing different approaches to consider by local authorities. To make a precedent and to better contribute to practical problems, a middle-sized city of Olomouc (Czechia) is chosen to demonstrate the upgraded regional transport system design with respect to the regional specifics and utilizing of the current railway and tramway infrastructure. With a new, innovative approach to the potential tram-train implementation in the Olomouc Region, the technical and operational features of the current tram-train systems and vehicles are analysed. By implementing the most suitable ones, the regional tram-train system proposal in the conditions of Olomouc may serve as a guide for similar planned systems in the countries with limited legislative and technical experience regarding the tram-train systems (especially in Central Europe), their suitability for the region, their design, and introduction. For the qualitative assessment of the different relevant approaches, a comparative analysis is used. As a result of the analysis, a tram-train system is recommended for the further transport planning stages as it significantly improves both urban and suburban public transport in the Olomouc Region by increasing their average speed and accessibility. For better financial and technical implementation, the project is divided into several stages. Unlike the already presented solutions, it combines shorter travel times of the regional rail and the populated area coverage reached by regional buses and serves as both an attractive and financially sane extension of a regional public transport system.
Detectability of Supermassive Dark Stars with the Roman Space Telescope
Authors: Zhang Saiyang , Ilie Cosmin , Freese Katherine
Published: April 2024

Supermassive dark stars (SMDS) are luminous stellar objects formed in the early Universe at redshift z ∼ 10–20, made primarily of hydrogen and helium, yet powered by dark matter. We examine the capabilities of the Roman Space Telescope (RST), and find it able to identify ∼106
M
⊙ SMDSs at redshifts up to z ≃ 14. With a gravitational lensing factor of μ ∼ 100, RST could identify SMDS as small as ∼104
M
⊙ at z ∼ 12 with ∼106 s exposure. Differentiating SMDSs from early galaxies containing zero metallicity stars at similar redshifts requires spectral, photometric, and morphological comparisons. With only RST, the differentiation of SMDS, particularly those formed via adiabatic contraction with M ≳ 105
M
⊙ and lensed by μ ≳ 100, is possible due to their distinct photometric signatures from the first galaxies. Those formed via dark matter capture can be differentiated only by image morphology: i.e., point object (SMDSs) versus extended object (sufficiently magnified galaxies). By additionally employing James Webb Space Telescope (JWST) spectroscopy, we can identify the He ii
λ1640 absorption line, a smoking gun for SMDS detection. Although RST does not cover the required wavelength band (for z
emi ≳ 10), JWST does; hence, the two can be used in tandem to identify SMDS. The detection of SMDS would confirm a new type of star powered by dark matter and may shed light on the origins of the supermassive black holes powering bright quasars observed at z ≳ 6.
A Perspective on the Milky Way Bulge Bar as Seen from the Neutron-capture Elements Cerium and Neodymium with APOGEE
Authors: Sales-Silva J. V. , Cunha K. , Smith V. V. , Daflon S. , Souto D. , Guerço R. , Queiroz A. , Chiappini C. , Hayes C. R. , Masseron T. , Hasselquist Sten , Horta D. , Prantzos N. , Zoccali M. , Allende Prieto C. , Barbuy B. , Beaton R. , Bizyaev D. , Fernández-Trincado J. G. , Frinchaboy P. M. , Holtzman J. A. , Johnson J. A. , Jönsson Henrik , Majewski S. R. , Minniti D. , Nidever D. L. , Schiavon R. P. , Schultheis M. , Sobeck J. , Stringfellow G. S. , Zasowski G.
Published: April 2024

This study probes the chemical abundances of the neutron-capture elements cerium and neodymium in the inner Milky Way from an analysis of a sample of ∼2000 stars in the Galactic bulge bar spatially contained within ∣X
Gal∣ < 5 kpc, ∣Y
Gal∣ < 3.5 kpc, and ∣Z
Gal∣ < 1 kpc, and spanning metallicities between −2.0 ≲ [Fe/H] ≲ +0.5. We classify the sample stars into low- or high-[Mg/Fe] populations and find that, in general, values of [Ce/Fe] and [Nd/Fe] increase as the metallicity decreases for the low- and high-[Mg/Fe] populations. Ce abundances show a more complex variation across the metallicity range of our bulge-bar sample when compared to Nd, with the r-process dominating the production of neutron-capture elements in the high-[Mg/Fe] population ([Ce/Nd] < 0.0). We find a spatial chemical dependence of Ce and Nd abundances for our sample of bulge-bar stars, with low- and high-[Mg/Fe] populations displaying a distinct abundance distribution. In the region close to the center of the MW, the low-[Mg/Fe] population is dominated by stars with low [Ce/Fe], [Ce/Mg], [Nd/Mg], [Nd/Fe], and [Ce/Nd] ratios. The low [Ce/Nd] ratio indicates a significant contribution in this central region from r-process yields for the low-[Mg/Fe] population. The chemical pattern of the most metal-poor stars in our sample suggests an early chemical enrichment of the bulge dominated by yields from core-collapse supernovae and r-process astrophysical sites, such as magnetorotational supernovae.