bluuebunny/crossref_metadata_2025 huggingface dataset:
Lugares de Memoria:
Authors: Del Campo Sorribas Jaume , Ramos Muñoz Cristian
Published: June 2024

Los Lugares de Memoria Histórica son espacios donde se han vulnerado los derechos humanos en contexto de violencia política (dictaduras, terrorismo, guerras, etc.). En la actualidad los Lugares de Memoria han sido recuperados por diversas organizaciones de derechos humanos donde se han diseñado proyectos colectivos que pretenden reivindicar y resignificar la Memoria e Historia del espacio. Junto a ello, los centros memoriales interpelan a la ciudadanía reclamando justicia, verdad y reparación para las víctimas, sus familias y la sociedad en su conjunto. Los sitios memoriales desarrollan actividades formativas con el objetivo de promover la educación para la paz y en derechos humanos. También, incentivan valores y principios para fortalecer la convivencia democrática.
Colonialismo, subalternização do trabalho e mulheres negras: Uma análise a partir dos Fundamentos da Educação Ambiental
Authors: Goularte Michele , Das Neves Pedruzzi Alana , Ferreira dos Reis Paula
Published: June 2024

O presente artigo tem como objetivo principal trazer as discussões sociais e anticoloniais para o cerne da Educação Ambiental, procurando analisar qual a  possível relação do trabalho subalternizado com a lógica colonial e porque as mulheres racializadas são a maioria a realizarem este tipo de trabalho. Trazendo assim  também as camadas vulnerabilizadas da população para dentro das discussões ambientais. Procurando uma maior corporificação teórica e conceitual, esta escrita também fará uma breve análise  sobre processos históricos como a colonização europeia, e como a lógica colonial ainda está intrínseca à estrutura social de territórios colonizados.  Foram escolhidas para embasar as reflexões deste trabalho, leituras como:  “O discurso sobre o colonialismo” do autor Aimé Césaire, capítulos do livro “O ponto zero da revolução: Trabalho doméstico, reprodução e futa feminista” de Silvia Federici e também escritas da Antropóloga e ativista Lélia Gonzalez e Patricia Hill Collins. Também apareceram no decorrer desta escrita alguns pesquisadores da área da Educação Ambiental crítica, autores que ressaltam a importância das questões sociais não serem dissociadas das discussões da Educação Ambiental. A partir das análises das leituras mencionadas neste artigo percebemos  como a lógica colonial, vigente nos séculos XV e XVIII, ainda influência na estrutura social atual de territórios colonizados e faz com que mulheres em sua grande maioria racializadas, estejam à margem da pobreza e condicionadas ao trabalho subalternizado, sendo assim fortemente afetadas por questões ambientais.
O Culturalismo Jurídico Relativista de Gustav Radbruch
Authors: Pinheiro Felipe Fernandes , Bueno Felipe Chiavone
Published: June 2024

O problema que tematiza o presente artigo decorre da oposição fundamental entre a autonomia e heteronomia do direito. A partir do movimento humanista, no século XIV, e do posicionamento do homem como o centro de tudo, o problema filosófico do fundamento do direito passa a ocupar o centro das atenções dos jusfilósofos, que buscam solucionar o fato de o direito, ao mesmo tempo em que serve aos indivíduos, os obriga. A partir de análise doutrinária, serão examinadas as contribuições do culturalismo jurídico relativista de Gustav Radbruch para o desenvolvimento da filosofia do direito. Para tanto, escolheu-se como ponto de partida o dualismo central entre o “ser” e o “dever ser” concebido pelo filósofo alemão Immanuel Kant, cujo esclarecimento permitirá que se adentre no movimento histórico Neokantiano, localizado na passagem do Século XIX para o Século XX, e refletir sobre o papel da Escola de Baden para o aperfeiçoamento das ideias jusfilosóficas contemporâneas, especialmente para a gestação do chamado Culturalismo Jurídico Relativista. Nesse contexto específico, Radbruch cria sua Filosofia dos Valores e inaugura a análise do Direito sob o enfoque tridimensionalista, fundamental para elucidar sua proposta do estudo do direito justo. Nesse caminho, será abordado o raciocínio que leva o autor a concluir pelo fundamento do direito na segurança jurídica.
Comparison of Classification Algorithm and Language Model in Accounting Financial Transaction Record: A Natural Language Processing Approach
Authors: Makayasa Bagas Adi , Siregar Maria Ulfah , Sugiantoro Bambang , Fatwanto Agung
Published: June 2024

The problem of financial recording not following the principles of accounting science has the potential to cause unnecessary problems. However, micro, small, and medium enterprises with their distinctive characteristics, though not all, still face many obstacles in writing financial reports. Even though there is already much financial software available, our study aims to investigate opportunities for implementing automation of accounting financial transaction records using the NLP approach, to interpret financial transactions based on text written on the transaction form into accounting journals (debits and credits). Experiments were carried out by comparing the performance of three classification algorithms, namely SVM, K-Nearest Neighbor, and Random Forest, with traditional (TF-IDF and BOW) and contextual (Word2Vec) Language Models. There are 200 financial transaction datasets consisting of ten classes. The data is divided into two parts, namely, the balance dataset and the imbalance dataset. The pair SVM and Word2Vec in the balanced dataset gave the highest accuracy (92.5%), precision (92.5%), recall/sensitivity (93.33%), and F1 score (92%). However, compared with the results of related semantic research (the average performance reaches 95%), the results obtained in this study are still lower. One point that may have a significant effect is the amount of data in the corpus, which is still lacking. Researchers suggest increasing the number of datasets and using a combination of other language models such as Glove, Bert etc. This study can also be used as a model for more complex financial transaction cases in future research.
Machine Learning Applications in Predictive Maintenance for Vehicles: Case Studies
Authors: Aravind Ravi , Shah Chirag Vinalbhai , Surabhi Manogna Dolu
Published: June 2024

The trend in the automotive industry has shifted from wanting the connected car, which uses the internet to fulfill the infotainment needs of the driver and the passengers, to acquiring the capability to manage the massive amount of vehicle data to enable new profitable opportunities such as maintenance-as-a-service. This real-time maintenance is possible using machine learning (ML) applications to develop predictive maintenance (PdM) algorithms. This creates a new realm focusing on preventing the unscheduled broken state of expensive automotive parts such as the clutch of an automatic transmission, as the breaking of a single part can affect the behavior of the whole vehicle.
This paper aims to help move the PdM industry even further, with an up-to-date insight into new available technologies and highlight potential applications for vehicle PdM, with a list of use cases that can be studied for future development. Additionally, for each use case, the most suitable data sources are also listed. Such a list is extremely helpful to researchers and developers, especially in the vehicle maintenance field, to understand exactly which sensor has to be developed and installed, in which area it is available, and with which resolution and accuracy.
Tax Benefits for Scientific and Educational Institutions as Indirect Budgetary Subsidies
Authors:   Lecturer of the Department of Financial Law of the Ural State Law University Named after V.F. Yakovlev, Attorney, Vinnik Aleksey V.
Published: June 2024

The article attempts to compare the mechanisms of state financial support for scientific and educational organizations through direct budget subsidies and indirectly through the provision of tax benefits. The author tries to evaluate these measures in terms of their economic efficiency, relevance, transparency and the possibility of state financial control and seeks to opt the most appropriate ones. The work uses Russian scientific literature, law enforcement practice and budget and tax statistics.
Investigative Prospects of the Application of a Special Ground for Refusal to Initiate Criminal Proceedings on Tax Crimes
Authors:   Associate Professor of the Department of Criminalistics of the Rostov Branch of the Saint Petersburg Academy of the Investigative Committee of the Russian Federation, Colonel of Justice, PhD (Economics), Gorobets Denis G.
Published: June 2024

The author analyzes the legal consequences of the introduction of a new specialized ground for refusing to initiate a criminal case on tax offenses and predicts possible difficulties in law enforcement by the investigating authorities due to the lack of regulation of cases of forced repayment of damages, disagreement of a person with a refusal to initiate a criminal case, and others.
The Legal Meaning of Commentaries on the OECD Model Tax Convention. What Has Changed?
Authors:   Chief Research Scientist of the Department of Financial, Tax and Budget Laws of the Institute of Legislation and Comparative Law under the Government of the Russian Federation, LL.D., Khavanova Inna A.
Published: June 2024

The article analyzes the legal basis of the Commentaries on the Articles of the OECD Model Tax Convention in the interpretation of Russia’s tax treaties, taking into account changes in the interaction of states in the tax sphere. The author describes the conditions for using of the UN Commentaries.
Income Tax: Arguments against Progression
Authors:   Senior Research Scientist of the Ufa Federal Research Center of the Russian Academy of Sciences, PhD (Economics), Associate Professor, Trofimova Yaroslava V.
Published: June 2024

The article considers in the historical context the evolution of personal income taxation in a number of European countries and the USA. The systematisation of prerequisites for the transition to income taxation is proposed. Arguments against progressive taxation in income tax are presented. It is concluded that it is necessary to maintain a flat personal income tax scale in Russia.
Nuevas modalidades del vestuario en las prácticas culturales contemporáneas
Authors: Cubeiro Ana María
Published: June 2024

Nos encontramos ante una presencia cada vez más significativa de prácticas culturales que pivotan sobre el vestuario, ampliando su campo de acción tradicional más allá del ámbito de la creación artística.
Comunicación, representaciones y discurso
Authors: Knop Fabiola , García de la Cárcova Alejo
Published: June 2024

El Proyecto de Investigación 20.9 integra 13 artículos de investigación que abordan el objeto de estudio de la comunicación desde enfoques diversos.
Complejidad e interdisciplinariedad en el Diseño
Authors: Knop Fabiola , García de la Cárcova Alejo
Published: June 2024

El Proyecto de Investigación 20.11 investiga acerca del siglo XXI, que define un escenario propio, caracterizado por una creciente complejidad, donde las disciplinas requieren seguir una conducta de interrelación en busca de complementarse de cara a eficientizar resultados y alcanzar la anhelada innovación.
The ancient people of Balinese: a study of health status based on paleopathology remains
Authors: Rahmawati Neni Trilusiana , Prayudi Ashwin , Suriyanto Rusyad Adi , Hastuti Janatin , Aritona Fidelis , Hidayah Ati Rati
Published: June 2024

Humans have been constantly exposed to the environment in their daily activities, which may result in some pathological changes. Paleopathology research is rare, particularly on ancient humans who lived in Bali, Indonesia. This research is intended to gain more insight into the history of diseases and the community in the past to assist future health researchers. This study was conducted to understand variation in disease among the ancient populations in Bali, Indonesia. The study examines skeletons from the Gilimanuk, Semawang, and Pacung Sembiran sites in Bali, Indonesia, collected from 1964 to 2008. A total of 336 individuals were identified, including 63 adult males, 75 adult females, and 56 adults whose sex could not be determined. In addition, 142 children were included in the analysis. The examination of the individuals revealed the presence of various dental pathological changes, such as caries and enamel hypoplasia, as well as periodontitis. Furthermore, several bone-related diseases and abnormalities were identified, such as osteophytes, fractures, porotic hyperostosis, and spina bifida occulta. Available evidence suggests a similarity in the types of pathological changes among the ancient populations of Gilimanuk, Semawang, and Pacung Sembiran. While a comprehensive explanation of the paleopathological variations observed in these populations necessitates further investigation, the present findings hold considerable value for medical experts and anthropologists seeking to better understand patterns of disease distribution among ancient Indonesian populations.   This study was funded by the Directorate General of Higher Education, Research, and Technology of the Ministry of Education, Culture, Research, and Technology of Indonesia for the fiscal year 2023.
Postrzeganie problemu kongestii miejskiej przez mieszkańców Łodzi
Authors: Przywojska Justyna , Łukasiewicz Robert
Published: June 2024

Niniejszy rozdział: „Postrzeganie kongestii miejskiej przez mieszkańców Łodzi” odnosi się do bardzo ważnego problemu występującego w codziennym funkcjonowaniu obszarów miejskich, czyli zatłoczenia sieci transportowej. Głównym celem rozdziału jest charakterystyka niekorzystnego zjawiska zatłoczenia oraz zbadanie postrzegania tego problemu przez osoby poruszające się na terenie miasta Łodzi. Zdiagnozowane zostały również najważniejsze czynniki wpływające na płynność przemieszczania się w mieście. Identyfikacja sposobów przeciwdziałania kongestii transportowej w miastach, uwzględniająca analizę najważniejszych przyczyn powstawania kongestii, może być podstawą do tworzenia planów usprawniających i inspiracją do powstania inicjatyw mających na celu optymalizację całego układu transportowego. Dla osiągnięcia założonego celu badawczego przeprowadzono badanie ilościowe z wykorzystaniem kwestionariusza ankiety. Suma zebranych odpowiedzi wyniosła 120. Spośród najczęściej wymienianych przyczyn powstawania zatorów drogowych, respondenci wyróżnili długotrwałe i źle zorganizowane roboty drogowe. Aż połowa osób nie zwróciła uwagi na problem podróżowania samochodem pojedynczo. Najważniejsze skutki zatorów drogowych według ankietowanych to straty czasu oraz, w aspekcie gospodarczym, spadek zainteresowania zamieszkaniem w mieście i złe warunki dla rozwoju przedsiębiorstw. Najczęstsze postulaty na rzecz usprawnienia ruchu ulicznego to powstawanie obiektów infrastrukturalnych w połączeniu z Inteligentnymi Systemami Transportowymi. Wyniki badania ukazują większą skłonność do korzystania z przewozów indywidualnych w stosunku do przewozów zbiorowych.
Sustainable remote learning model: Challenges and opportunities in remote learning assessment during and post-pandemic
Authors: Ignacio Hasmin , Alinsunod Jennifer , Masangya Raymund , Barosa Elizabeth , Oliva Olivia , Soriano Joshua , Oliveros Jervie
Published: June 2024

This paper document investigates the impact of remote learning on education systems during and after the COVID-19 pandemic, focusing primarily on the experiences of educators and learners. The study employs a mixed-methods approach, incorporating qualitative and quantitative analyses to evaluate remote learning's effectiveness and challenges comprehensively. Findings highlight significant challenges such as technology access, adaptation to online teaching methods, and maintaining student engagement. Despite these challenges, the implementation of remote learning facilitated educational continuity during the pandemic, demonstrating the potential for permanent integration into educational frameworks. The study concludes that while remote learning can enhance flexibility and accessibility, it requires substantial improvements in technology infrastructure and teacher training. Recommendations for future research include exploring strategies to enhance digital literacy, developing robust support systems for educators, and investigating long-term outcomes of remote learning on educational quality.
Keywords: Blended learning; digital literacy; remote learning; sustainable remote learning model; teacher training.
North Korea in Korean Studies Education in Romania
Authors:   East European and Balkan Institute, Kwak Dong Hun
Published: June 2024

Interest in Korean studies in Romania is gradually increasing. This is largely due to the heightened national status associated with the rapid growth of the Korean economy and the Korean Wave, which has rich and high-quality cultural contents. With this trend, Korean studies in Romania have created a large demand for education within a short period of time and are accumulating various research achievements. At this point, a more strategic attitude and effort are required to find long-term and stable growth engines for Korean studies. In addition to the development of human resources, which have played a central role in Korean studies education, communication from various perspectives for Korean studies research must be achieved. For the desirable development of Korean studies in Romania, where language education is the center, it seems that much discussion will be needed on what kind of educational contents are required and how these should be prepared and delivered to learners. The way to continue to raise the awareness of Korean studies, which has been heightened by the Korean Wave, is to operate Korean studies with rich educational contents.
From this perspective, providing education on North Korean studies, especially their history, is considered necessary to build more diverse educational contents. The need for history education has been emphasized for overseas Korean language learners, but in fact, education about the history of North Korea, which is part of the Korean studies, has been taboo. We need to approach history more freely from ideological views and prejudices and instill in students a correct understanding of history. This is believed to be one of many problems that must be resolved for the development of Korean studies education.
Study on the Slavophilia-Westernizer Debate and Railroad Imagery in Turgenev’s The Smoke
Authors:   East European and Balkan Institute, Kim Tae Ok
Published: June 2024

Turgenev’s The Smoke is a portrait of Russian intellectuals living in the
chaotic 1860s, shortly after the Emancipation reform of 1981. Turgenev’s
stylistic style is characterized by a strong sense of the times and an
extraordinary sense of reality. This work also features strong female characters
such as Irina and Tatyana, and the love affairs of Litvinov who is hesitant and
torn between them. This paper analyzes this debate between Slavophilia, and
Westernizer in Turgenev’s The Smoke and the issue of the protagonists’ love
affairs. In particular, in Smoke, the railroad appears as a medium connecting
Russia and the West, a product of natural science and a means of transportation
that connects the protagonists’ encounters. The railroad is more than just a
means of transportation, as it directly reveals the artist’s worldview through the
protagonist Litvinov.
Through writer’s narrative and his protagonist Litvinov, Turgenev presents an
objective view of the Slavicist and the uncompromising Westerner, both of
whom are unable to completely deny their past and their existence, and both of
whom are searching for a way forward for Russia. A new European artefact, a
symbol of the natural sciences and the power of civilization, railroads and trains
are transformed into a space for Litvinov’s growth and reflection. Turgenev also
substitutes the image of a runaway train for Irina, who is oriented toward
upward mobility and the West. He then sets up the figure of Tatyana, the
idealized counterpart of Irina, to antithesis, and suggests the direction in which
Russian intellectuals and Russia should move toward historical progress, social
reform, and social justice.
Aquisições da agricultura familiar via Programa Nacional de Alimentação Escolar: avaliação dos efeitos econômicos para os municípios mineiros
Authors: Simonino Cinara Tatiana , Santos Luana Ferreira dos , Cezar Layon Carlos
Published: June 2024

O artigo tem como objetivo avaliar efeitos econômicos das aquisições da agricultura familiar, no âmbito do Programa Nacional de Alimentação Escolar (PNAE), para os municípios mineiros. De cunho quantitativo, o método escolhido é a regressão linear múltipla. Foram estimados quatro modelos, em que as variáveis econômicas, Produto Interno Bruto (PIB) total, agropecuário, indústria e serviços, são dependentes; o volume de repasses do PNAE (em reais) para agricultura familiar é a variável independente de interesse; e os valores (em reais) do crédito rural por meio do Programa de Fortalecimento da Agricultura Familiar (PRONAF), a produção da agroindústria familiar rural e o número de estabelecimentos da agricultura familiar vinculados a cooperativas ou associações são variáveis independentes de controle. Os principais resultados indicam que a variável PNAE mostrou-se estatisticamente significativa a 1% para os PIBs total, indústria e serviços, e estatisticamente significativo a 10% para o PIB agropecuária, apresentando maior efeito sobre o PIB total. Isso significa que as aquisições da agricultura familiar, por meio do PNAE, exercem efeitos econômicos positivos sobre esses setores e, principalmente, sobre o PIB total. Sugerem-se, para pesquisas futuras, estudos comparativos, aplicações de outras técnicas quantitativas e estudos com abordagens qualitativas. Recomendam-se também pesquisas que contemplem outras lentes teóricas para a percepção dos efeitos da política pública.
Моделі для дослідження перспектив розвитку авіаційної галузі
Authors: Тарасьонок Д. , Ліхоузова Т.
Published: June 2024

В статті розглянуто проблему перспектив розвитку авіаційної галузі у світі. В такій великій галузі просто необхідно детально аналізувати тенденції для покращення логістики й збільшення прибутку. Кластеризація країн дозволитьавіакомпаніям детально вивчити можливі напрями розширення свого бізнесу, подивитися на головні центри авіації, переглянути, у які країни можна розповсюдити свій бізнес. Детальний аналіз тенденцій в авіавиробництві – головне, на що повинні орієнтуватися авіавиробники, оскільки такі тенденції змінюються дуже швидко і їх треба намагатися прогнозувати. Для розбиття країн на кластери за кількістю перельотів між ними створено кластеризаційну модель за допомогою Лувенського методу. Було виділено 5 кластерів, які переважно залежали від географічного місцезнаходження країн. Така модель може застосовуватися навіть поза межами авіації, адже вона вказує не лише на географічну близькість певних країн, але й на геополітичну та економічну ситуації в цих країнах, а також на відносини між різними країнами. Авіакомпанії можуть використовувати такі візуалізації для аналізу, які країни можна «захопити», а які – уже мають дуже серйозного гравця на ринку й конкуренція там буде дуже складною. Для прогнозування виробництва літаків побудовано модель для прогнозування виробництва літаків моделі Airbus A320, літаків із 4 двигунами та з поршневими двигунами. Ці моделі дадуть підказку для авіавиробників щодо того, які літаки требавиготовляти, а авіакомпаніям – які купувати, щоб збільшити прибуток за рахунок виробництва трендових літаків з одного боку та зменшити втрати через моральне застаріння авіапарку з іншого.
Бібл. 17, іл. 14
Статичні алгоритми управління паралельними асинхронними обчислювальними процесами
Authors: Павлов О. , Халус О. , Мельников О. , Дрозд В. , Кобельський В. , Медведєв М.
Published: June 2024

Розглядається проблема управління паралельними асинхронними обчислювальними процесами. Приведено критичний порівняльний аналіз статичних та динамічних методів управління паралельними асинхронними обчислювальними процесами. Розглядаються дві постановки задачі управління паралельними асинхроннихобчислювальних процесів як одноетапних задач теорії розкладів. Пропонується для її розв’язання використовувати алгоритми, зокрема, ПДС-алгоритми, розроблені проф. Павловим О.А. та його учнями, що зазвичай використовуються для реалізації календарного та оперативного планування дискретними виробничими системами. Пропонуютьсямодифікації ПДС-алгоритмів відповідно до сформульованих задач комбінаторної оптимізації. Наведено приклади конкретних наукових та практичних проблем, для яких ефективність програмного забезпечення їх розв’язання досягається за допомогою розглянутих статичних моделей управління паралельними асинхронними обчислювальними процесами та запропонованими методами їх розв’язання.
Бібл. 22
Формалізація задачі формування головного календарного плану в системі класу MRP II
Authors: Новінський В. , Попенко В.
Published: June 2024

Робота відноситься до області ERP (Enterparprise Resource Planning) та її розділу MRP II (Manufacturing Resource Planning – планування ресурсів виробництва). В ній наведено модель планування виробництва як задачі лінійногопрограмування. У якості запропонованої моделі вибрана модель з динамічними точками поповнення запасу готової продукції. В якості цільової функції цій задачі запропоновано взяти зважене завантаження виробництва. В якості обмежень – традиційні ресурси виробництва, які присутні: готова продукція, потужності та матеріали. Перше обмеження сформульованої задачі лінійного програмування – це традиційне обмеження на не від’ємність плану, друге – це отримання невід’ємних залишків готової продукції. Трете – це виробляти стільки скільки потрібно. Четверте – це обмеження на матеріали які використовуються у виробництві. П’яте – це обмеження на потужності, які використовуються у виробництві. Та шосте – це обмеження виробляти в точках поповнення запасу готової продукції. Модель задачі має наступні переваги: вона добре вивчена, має безліч методів вирішення та добре вкладається в практику виробництва, вона не є традиційною та використовує план виробництва як підсумковий. Наведена апробація вирішення цієї задачі в стандартній програмі MS Excel за допомогою Розв’язувача задач. Цей інструмент є потужним для вирішення задачі лінійного програмування та апробації різних моделей декількома методами: симплексметодом, методом зведеного градієнту. Інструмент є ідеальним для досліджень такого роду. Задача яка вирішувалась в ході апробації має три продукти, один матеріал та один робочий центр, можливість задавати нормативи (як то нормі витрат матеріалів, норми продуктивності робочого центру), можливості імітувати план продажів, залишкиматеріалів та готової продукції. В роботі показано що такого роду інструменти є незмінними при апробації такого роду задач.
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Efficacy of Botanical Extracts, Biocontrol agents and Fungicides against Alternaria brassicicola Causing Leaf Spot of Cabbage (Brassica oleracea var. capitata L.)
Authors: Rutuja Ghone Sara Shaikh, , R. Urdukhe Yogesh , Mogle Umesh
Published: June 2024

This study investigated the in vitro efficacy of various management strategies against Alternaria brassicicola infecting cabbage (Brassica oleracea var. capitata). Aqueous extracts from Barleria prionitis L. and Solanum virginianum L. leaves exhibited concentration-dependent antifungal activity, with Barleria prionitis extract demonstrating the highest inhibition (80.75%) at 6% concentration. GC-MS analysis of the Barleria prionitis extract identified β-sitosterol, oleanolic acid, lupeol, and barlerin, all of which have documented antifungal properties. Similarly, Solanum virginianum extract displayed significant inhibition (82.44%) at 8% concentration, with phytol and solanidine identified as potential antifungal constituents. Commercially available fungicides (Bavistin, Mancozeb, Carbendazim and Captan) also inhibited A. brassicicola growth, with Bavistin exhibiting the strongest activity (100% inhibition at all tested concentrations). Trichoderma viride displayed superior antagonistic potential (83.09% inhibition) compared to Trichoderma harzianum (64.31%) against the pathogen. The findings suggest the potential of botanical extracts and biocontrol agents as eco-friendly alternatives for managing Alternaria brassicicola in cabbage cultivation. Further research is needed to explore the fungicidal mechanisms of identified bioactive compounds and optimize their application strategies for field efficacy.
THE CONCEPT OF HUMAN FIṬRAH IN ISLAMIC PHILOSOPHY OF EDUCATION
Authors: Waharjani Waharjani , Jailani Mohammad , Huda Miftachul
Published: June 2024

From the perspective of the Qur’an, investigating the concept of human nature becomes an intriguing subject for scientific exploration, with a particular focus on the term “muḥsin”. This word holds a wide range of interpretations within the Qur’an, encompassing both its semantic implications and its relevance to understanding humanity. This pursuit of understanding and learning within the realm of science, especially in academic lectures and research, aims to analyze the correlation between the concept of human nature and Islamic education as they relate to the Qur’an and Ilmud dilalah (the science of semantics). This research is specifically oriented towards qualitative research, utilizing a literature review approach. Data was collected from online sources through literature searches on platforms such as Google Scholar, Scopus, and Siendirect. Data analysis involved a meticulous content analysis process. The findings of this study highlight the concept of “fiṭrah” as a divine endowment bestowed upon humans by God, defining their existence. Understanding the meaning of this inherent nature is deemed essential for all individuals, ensuring that God’s gift is not squandered and that one’s full potential is developed. Islamic education plays a pivotal role in this context, serving as a guiding force that helps individuals preserve and direct their innate nature, particularly in fostering trust and confidence in Allah. It emphasizes the importance of nurturing one’s full potential. In Islam, education is not only emphasized but also intricately linked with the philosophy of science when applied to Islamic religious education. It is understood that Islam, as a holistic religion, provides comprehensive guidance and education for Muslims.
Orinoco revisited: Comprehensive analysis of the Orinoco River basin present and future hydroclimate
Authors: Builes-Jaramillo Alejandro , Salas Hernán D. , Valencia Juliana , Florian Carolina
Published: June 2024

The Orinoco River basin, ranked as South America’s third-largest catchment, is pivotal in contributing to the Atlantic Ocean’s water volume. This study provides a comprehensive update on the basin’s surface water balance, examining trends using gridded precipitation and total evaporation datasets. We also explore projected changes in precipitation until the end of the 21st century, focusing on the RCP8.5 climate change scenario. To achieve this, we utilize data from regional climate models designed by the CORDEX-CORE experiment, selecting an ensemble that excels in performance across South America and Central America. We estimate the accuracy of reference datasets in capturing water balance dynamics. We identify increasing trends in precipitation and total evaporation across most of the basin, enhancing our understanding of its long-term hydrological balance. Notably, the Andean and Guianese sectors of the basin contribute equally to half of the mean surface runoff, although the latter encompasses only 30% of the total area. This underscores the key role of the Guianese shield sub-basins. In regional climate modeling, despite some underestimation, the model runs for the CORDEX South America domain simulate effectively the precipitation across the basin. Regarding climate scenarios, our analysis using the RCP8.5 scenario projects an average annual precipitation reduction of around 45% for the entire basin. These findings emphasize the urgency of adopting measures to mitigate potential adverse effects on the Orinoco River basin’s hydrological sustainability in response to evolving climate patterns.
Consciousness, Probability of Afterlife, and Intelligence Evolution in the Universe/s
Authors: Senarath Dayathilake Kande Lekamalaya
Published: June 2024

This article explores the enduring mysteries of consciousness and the afterlife, two enigmatic topics that have fascinated humanity for ages. Despite extensive scientific efforts, the existence of an afterlife remains unproven, and understanding consciousness remains a significant challenge. The research introduces innovative hypotheses through simple thought experiments with empirical evidence and robust theoretical foundations. It delves into the complexities of consciousness, its relationship with the brain, and the need for interdisciplinary approaches encompassing physics, psychology, and philosophy. Boldly contemplating the probability of a continuous consciousness after death, the study argues that existing evidence strongly supports this idea. Beyond theoretical implications, it envisions practical outcomes, suggesting that insights into these mysteries could enhance human well-being and contribute to a more harmonious world. In summary, this article embarks on a quest to shed light on age-old questions about consciousness and the afterlife. Through fresh methodologies, it aims to provide new perspectives that could reshape our understanding of existence and inspire intellectuals to positive individual and societal advancements including psychological well-being and intelligence.
Combining Transformer, CNN, and LSTM Architectures: A Novel Ensemble Learning Technique That Leverages Multi-acoustic Features for Speech Emotion Recognition in Distance Education Classrooms
Authors: Alkhamali Eman Abdulrahman , Allinjawi Arwa , Ashari Rehab Bahaaddin
Published: June 2024

Speech emotion recognition (SER) is a technology that can be applied in distance education to analyze speech patterns and evaluate speakers’ emotional states in real-time. It provides valuable insights and can be used to enhance the learning experience by enabling the assessment of instructors’ emotional stability, a factor that significantly impacts information delivery effectiveness. Students demonstrate different engagement levels during learning activities, and assessing this engagement is an important aspect of controlling the learning process and improving e-learning systems. An important aspect that may influence student engagement is the emotional states of their instructors. Accordingly, this research uses deep learning techniques to create an automated system for recognizing instructors’ emotions in their speech when delivering distance learning. This methodology entails integrating Transformer, convolutional neural network, and long short-term memory architectures into an ensemble to enhance SER. Feature extraction from audio data used Mel-frequency cepstral coefficients, chroma, Mel spectrogram, zero crossing rate, spectral contrast, centroid, bandwidth, roll-off, and root-mean square, with subsequent optimization processes adding noise to, conducting time stretching, and shifting the audio data. Notably, several Transformer blocks were incorporated, and a multi-head self-attention mechanism was employed to identify the relationships between the input sequence segments. The pre-processing and data augmentation methodologies significantly enhanced the precision of the results in that the model achieved accuracy rates of 96.3%, 99.86%, 96.5%, and 85.3% on the Ryerson Audio-Visual Database of Emotional Speech and Song, Berlin Database of Emotional Speech, Surrey Audio-Visual Expressed Emotion, and Interactive Emotional Dyadic Motion Capture datasets. Furthermore, it achieved 83% accuracy on another dataset created for this research—the Saudi Higher Education Instructor Emotions dataset. The results demonstrate this model’s considerable accuracy in detecting emotions in speech data across different languages and datasets.
Integration of PV Systems in the Urban Environment—A Review
Authors: Rodrigues André , Palmero-Marrero Ana I. , Oliveira Armando C.
Published: June 2024

Building integrated photovoltaics (BIPV) consists of PV panels that are integrated into the building as part of the construction. This technology has advantages such as the production of electricity without necessary additional land area. This paper provides a literature review about the recent developments in urban building energy modelling, including tools and methods, and how they can be used to predict the effect of PV systems on building outdoor and indoor environments. It is also intended to provide a critical analysis on how PV systems affect the urban environment, both from an energy and a comfort point of view. The microclimate, namelly the urban heat island concept, is introduced and related with the existence of PV systems. It is concluded that urban building energy modelling (UBEM) can be effective to study the performance of PV systems in the urban environment. It allows to simultaneously predict the building energy performance and the microclimate effect. However, there is a need to develop new methodologies to overcome the challenges associated to UBEM, especially in what concerns non-geometric data, which leads to a major source of errors. and to find an effective method to predict the effect of PV systems in the urban environment.
Modern Interpretation of Banjarese Traditional House Design: A Case Study of Bubungan Tinggi’s Model
Authors: Agusniansyah Nursyarif , Sarbini Gusti Novi
Published: June 2024

This the term "Bubungan Tinggi" (High Roof) in this study refers to the banjarese traditional house. A significant artifact in South Kalimantan is called Bubungan Tinggi. With its unique typology and anatomy, this particular building has evolved into an iconic structure that symbolizes the collective memory of the Banjarese people. This research aims to showcase the versatility of the Bubungan Tinggi design in modern architecture by exploring different transformation models. By applying various techniques and approaches, the study provides insights into how this traditional Banjarese character can be adapted for new house designs. The Bubungan Tinggi's transformation process reveals characteristics in its fundamental components, which are distinguished by their geometric objects. Experimental design is the methodology employed in this study. This methodology shows that a variety of transformation models may be carried out by introducing and identifying the Bubungan Tinggi, observing objects in case studies, using transformation techniques and their application, and creating transformation models. This research produced a variety of modeling results that illustrated new interpretations of bubungan tinggi's in modern house design. The incorporation of traditional elements like the bubungan tinggi in modern house design can help preserve cultural heritage while also creating unique and innovative architectural solutions.
Advanced Object Detection and Decision Making in Autonomous Medical Response Systems
Authors: Needhi Jeyadev
Published: June 2024

This paper focuses on enhancing the object detection and decision-making capabilities of Autonomous Emergency Medical Response Systems (AEMRS). Using advanced sensors, Convolutional Neural Networks (CNN), and reinforcement learning, we propose a model that processes environmental data to identify obstacles and make optimal navigation decisions. The integration of these technologies aims to minimize response time and improve the efficiency of emergency medical services. The perception system utilizes radar, LiDAR, and camera inputs to create a comprehensive understanding of the environment. These data are processed through a series of CNN layers to detect and classify objects such as vehicles, pedestrians, and road signs. On the decision-making front, a Q-learning algorithm is employed to enable the ambulance to learn from its interactions with the environment, continuously improving its route planning and collision avoidance strategies. By combining these advanced AI techniques, the proposed AEMRS can significantly enhance the speed and reliability of emergency responses, ultimately saving more lives. This paper presents the design, implementation, and simulation results of the proposed system, demonstrating its potential to revolutionize emergency medical services.
PlanteSaine: An Artificial Intelligent empowered mobile application for pests and disease management for maize, tomato, and onion farmers in Burkina Faso
Authors: Appiah Obed , Hackman Kwame Oppong , Diallo Belko Abdoul Aziz , Ogunjobi Kehinde O. , Diakalia Son , Valentin Ouedraogo , Abdoul-Karim Damoue , Dabire Gaston
Published: June 2024

This study presents PlanteSaine, a novel mobile application powered by Artificial Intelligence (AI) models explicitly designed for maize, tomato, and onion farmers in Burkina Faso. Agriculture in Burkina Faso, like many developing nations, faces substantial challenges from plant pests and diseases, posing threats to both food security and economic stability. PlanteSaine addresses these challenges by offering a comprehensive solution that provides farmers with real-time identification of pests and diseases. Farmers capture images of affected plants with their smartphones, and PlanteSaine's AI system analyzes these images to provide accurate diagnoses. The application's offline functionality ensures accessibility even in remote areas with limited internet connectivity, while its messaging feature facilitates communication with agricultural authorities for guidance and support. Additionally, PlanteSaine includes an emergency alert mechanism to notify farmers about pest and disease outbreaks, enhancing their preparedness to deal with these threats. An AI-driven framework, featuring an image feature extraction phase with EfficientNetB3 and an artificial neural network (ANN) classifier, was developed and integrated into PlanteSaine. The evaluation of PlanteSaine demonstrates its superior performance compared to baseline models, showcasing its effectiveness in accurately detecting diseases and pests across maize, tomato, and onion crops. Overall, this study highlights the potential of PlanteSaine to revolutionize agricultural technology in Burkina Faso and beyond. Leveraging AI and mobile computing, PlanteSaine provides farmers with accessible and reliable pest and disease management tools, ultimately contributing to sustainable farming practices and enhancing food security. The success of PlanteSaine underscores the importance of interdisciplinary approaches in addressing pressing challenges in global agriculture
Exploring the Relationship Between Inhaled Corticosteroid Usage, Asthma Severity, and Sleep-Disordered Breathing: A Systematic Literature Review
Authors: Zaffanello Marco , Ferrante Giuliana , Piazza Michele , Nosetti Luana , Tenero Laura , Piacentini Giorgio
Published: June 2024

Additionally, the characteristics of inhaled corticosteroids (inhaled particle sizes) may influence the risk of sleep apnea. In children, the severity of asthma plays a crucial role in influencing the prevalence of sleep apnea, while using inhaled corticosteroids seems to be a less relevant risk factor compared to adults. The overall risk of bias was categorized as high or with some concerns in 100% of the studies analyzed. Each study identified at least one form of bias that raised significant concerns. Studies showed a complex relationship between inhaled corticosteroids use, asthma severity, and the onset of sleep apnea. Further studies are needed.
Aspirin in Primary Prevention: Looking for Who Enjoys It!
Authors: Della Bona Roberta , Giubilato Simona , Palmieri Marco , Benenati Stefano , Rossini Roberta , Di Fusco Stefania Angela , Novarese Filippo , Mascia Giuseppe , Gasparetto Nicola , Di Monaco Antonio , Gatto Laura , Zilio Filippo , Sorini Dini Carlotta , Borrello Francesco , Geraci Giovanna , Riccio Carmine , De Luca Leonardo , Colivicchi Furio , Grimaldi Massimo , Giulizia Michele Massimo , Porto Italo , Oliva Fabrizio Giovanni
Published: June 2024

Based on a wealth of evidence, aspirin is one of the cornerstones of secondary prevention of cardiovascular disease. However, despite several studies showing efficacy also in primary prevention, an unopposed excess risk of bleeding leading to a very thin safety margin is evident in subjects without a clear acute cardiovascular event. Overall, the variability in recommendations from different scientific societies for aspirin use in primary prevention is a classic example of failure of simple risk stratification models based on competing risks (atherothrombosis vs. bleeding), perceived to be opposed but intertwined at the pathophysiological level. Notably, cardiovascular risk is dynamic in nature and cannot be accurately captured by scores, which do not always consider risk enhancers. Furthermore, the widespread use of other potent medications in primary prevention, such as lipid-lowering and anti-hypertensive drugs, might have reduced the benefit of aspirin in recent trials. Some authors, drawing from specific pathophysiological data, have suggested that specific subgroups might benefit more from aspirin. This includes patient with diabetes and those with obesity, as well as considering sex-based differences. Moreover, molecular analysis of platelet reactivity has been proposed. A beneficial effect of aspirin has also been demonstrated for the prevention of cancer, especially colorectal. This review explores evidence and controversies concerning the use of aspirin in primary prevention, considering new perspectives in order to develop a personalized approach.
Enhanced Skin Penetration of Ascorbyl Palmitate Achieved via Liposomal Encapsulation: Tape Stripping Evaluation
Authors: Jovanović Aleksandra Stolić , Tadic Vanja , Martinović Milica , Žugić Ana , Nešić Ivana , Blagojević Stevan , Jasnić Nebojša , Tosti Tomislav
Published: June 2024

L-ascorbic acid represents one of the most potent antioxidant, photoprotective, anti-aging and anti-pigmentary cosmeceutical agents, with a good safety profile. However, the challenge remained to design the stable topical formulation, with such a permeability of L-ascorbic acid as active that the optimal effects on skin could be achieved. The aim of our research was to evaluate the difference between the penetration ability of ascorbyl palmitate incorporated in the same percentage (2%) within the creams and emulgels as carriers, as well as to determine the impact of its incorporation into liposome on the kinetics of penetration. Tape stripping was applied for studying the penetration of the ascorbyl palmitate into the stratum corneum. In addition, the sensory and textural properties of examined formulations were determined. In both cases (liposomal and non-liposomal formulations), creams exhibited a better penetration profile of active substance compared to the use of emulgel. Encapsulation of ascorbyl palmitate into liposomes led to an increase in the adhesiveness and density of the prepared cream and emulgel samples. The best spreadability and absorption during application were detected in liposomal samples. The obtained results confirmed improved dermal penetration of ascorbyl palmitate, either cream or emulgel bases were employed, which further indicates the advantages of its liposomal encapsulation.