bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of AI-Powered Personalized Learning Platforms on the Academic Achievement and Motivation of Computer Science Senior Secondary School Students in Abuja Municipal Area Council (AMAC) FCT-Abuja, Nigeria
Authors: Badamasi Afusat Ejide , Chinonso Opara Emmanuel
Published: September 2024

This study investigated the impact of AI-Powered Personalized Learning Platforms on the Academic Achievement and Motivation of Computer Science senior secondary school students in Abuja Municipal Area Council (AMAC) FCT-Abuja, Nigeria. The study raised two research questions and two corresponding hypotheses which were tested at 0.05 level of significance. The study adopted a mixed research method; of both the quasi-experimental design and descriptive survey research design. The population of the study comprised all the public senior secondary school students in Abuja Municipal Area Council (AMAC), Federal Capital Territory (FCT). A sample of 100 students was selected through a combination of purposive and simple random sampling techniques for the study. The researchers adopted Code.org as a treatment instrument while the instrument for data collection was a researchers’ designed Computer Achievement Test (CAT) and Motivation Based Questionnaire (MBQ). A draft of the questionnaire was validated through expert judgment involving three lecturers. This was done to establish the face and construct validity. The reliability of the instrument was established through a test-re-test method. A reliability co-efficient of 0.85 and 0.80 was established for both instruments (CAT & MBQ). The data collected were analysed by using independent t-test statistics to test the two formulated hypotheses. The results indicated that Code.org significantly improved the academic achievement of secondary school students compared to traditional learning methods. Furthermore, Code.org positively impacted the motivation of secondary school students. The study recommended amongst others that schools should adopt AI-powered personalized learning platforms such as Code.org for teaching and learning.
Megjegyzések a mai csíksomlyói búcsúk tér- és időstratégiáiról
Authors: Tánczos Vilmos
Published: September 2024

A csíksomlyói pünkösdszombati búcsút a néprajzi szakirodalom vallásos tartalmú, helyi népi szokáselemeket tartalmazó rituális drámaként írta le. A búcsú kulturális ökonómiája azonban az utóbbi évtizedekben gyökeresen átalakult: megváltozott a búcsú tér-, idő- és rítushasználata, továbbá hangsúlyossá váltak a búcsú nem vallásos jellegű jelentései. A mai búcsúkat egy térben és időben megvalósuló látványos rituális eseményként, vizuális spektákulumként is felfoghatjuk. A tanulmány a búcsú tér- és időszerkezetének mai átalakulását egy kulturális ökonómiai szemlélet jegyében mutatja be.
A Parajd-képek sokfélesége
Authors: Pál Emese
Published: September 2024

Miklós Alpár: Parajd-képek a hosszú 19. században (1780-1918) Erdélyi Múzeum-Egyesület, Kolozsvár, 2022., 734 old. (Emberek és Kontextusok 22.)
Hideg Anna epikus népköltészeti repertoárja
Authors: Tekei Erika
Published: September 2024

Magyar Zoltán: Hideg Anna meséi. Ördöngösfüzesi mesék, mondák és egyéb történetek. Bp. Balassi Kiadó, 2023. 448 old.
Mit jelent ma református lelkésznek lenni Erdélyben?
Authors: Peti Lehel
Published: September 2024

Máté István: Szolgálatban Kalotaszegen. Lelkipásztori életstratégiák és életpályák a Kalotaszegi Református Egyházmegyében. Kvár, Kriza János Néprajzi Társaság, 2023. 218 old.
Magyarszováti kiáltott rigmusok egy egyéni repertoár tükrében
Authors: Süketné Vadas Hanga
Published: September 2024

A tanulmány egy magyarszováti folklórgyűjtésre alapozva, több módszerrel elemzi a mezőségi népi kultúra egy kevéssé kutatott műfaját, az ún. rikatozást. Ezt a folklórműfajt a néprajzi szakirodalom a csujogatás, táncszó, kiáltott rigmus terminusokkal nevezi meg. A szerző egyéni repertoártvizsgálatként egy Népművészet Mestere-díjas magyarszováti énekes, Dezső Erzsébet folklórtudását elemzi és bemutatja a műfaj tágabb kontextusát is. A tanulmány az 1950-es évektől a 2000-es évekig terjedő időszakra vonatkoztatva ismerteti a rikatozások használatának alkalmait és társadalmi funkcióit, valamint azt, hogy mindez hogyan változott a vizsgált korszakban.
Téglás István néprajzkutatói munkássága
Authors: Bajusz Anna
Published: September 2024

A 19. század végén és a 20. század elején tevékenykedő Téglás István egyike volt azoknak az erdélyi kutatóknak, akik személyes érdeklődésből kiindulva, végül tudományos munkát végeztek. Téglás István 1853-ban született Sepsiszentgyörgyön, és Tordán hunyt el 1915-ben, ahol többezer tárgyból álló múzeumot, kb. száz közölt cikket és hatalmas mennyiségű kéziratos anyagot hagyott hátra. Téglás régészeti jegyzeteit Bajusz István feldolgozta és közreadta 2005-ben, a kéziratok tartalmának másik negyede néprajzi jellegű, amelyről még nem született ismertetés, így idejét látjuk annak, hogy ezekről egy összegző képet nyújtsunk. Tárgyi gyűjteményét rekonstruálhatjuk a gyűjtemény három fennmaradt leltárkönyvéből, 824 drb. néprajzi tárgy, folklór kutatásait pedig, melyeket magyar, román és szász területeken végzett, megtalálhatjuk az 56 darabot számláló jegyzetfüzetekben. Kiváltképpen értékesek a gondos, kidolgozott rajzaival megörökített hímestojás minták, szőttesminták, faragott motívumok, népművészeti díszítő stílusok, természeti látványosságok.
Egy talányos ezüst ikonborító : Megjegyzések Alekszej Sztyepanov moszkvai ötvösműhelyének Csernyigovi Szent Feodoszij ikonjához készült ezüstrizájához
Authors: Ruzsa György
Published: September 2024

A tanulmány röviden bemutatja Csernyigovi Szent Feodoszij hagiográfiáját és ikonográfiáját. Részletesen elemzi Szent Feodoszij ikonjának ezüst borítóját (riza). A szerző foglalkozik a keresztény számmisztikával az adott ikonborítóval kapcsolatban.
Optimizing SAP Pricing Strategies with Vendavo and PROS Integration
Authors: Sivaprasad Nadukuru  , Rahul Arulkumaran  , Nishit Agarwal  , Prof.(Dr) Punit Goel  , Anshika Aggarwal
Published: September 2024

In today's fast-paced and competitive business environment, effective pricing strategies are crucial for sustaining profitability and market share. SAP, a widely used enterprise resource planning (ERP) system, provides fundamental pricing functionalities. However, the increasing complexity of markets requires more advanced, data-driven pricing solutions. Vendavo and PROS, two leading pricing optimization platforms, offer organizations enhanced capabilities such as real-time data analytics, artificial intelligence (AI)-driven price optimization, and precise margin management. Integrating these tools with SAP can provide businesses with a more agile and dynamic approach to pricing, allowing them to respond swiftly to market fluctuations and customer demand.
Vendavo focuses on strategic price management by enabling businesses to set, monitor, and adjust prices based on market conditions and competitive data. Meanwhile, PROS uses AI and machine learning to forecast demand and optimize pricing strategies, helping organizations tailor prices for specific customer segments. Together, these solutions offer a powerful combination when integrated into SAP, providing a seamless and comprehensive approach to pricing.
This integration delivers numerous benefits, including more accurate pricing, automated processes that reduce errors, and the ability to make data-driven decisions faster. As businesses face mounting competition and shifting market demands, the combination of SAP, Vendavo, and PROS offers a strategic advantage that enhances profitability and operational efficiency. By leveraging this integrated approach, organizations can ensure consistent and optimized pricing strategies, positioning themselves for success in a rapidly changing business landscape
RELAÇÃO ENTRE EIXO INTESTINO-CÉREBRO E SUAS INFLUÊNCIAS NO CORPO: UMA REVISÃO INTEGRATIVA
Authors: Luciana Mendes Oliveira  , Barbara Priscila Alves de Souza  , Emanuel Abrantes Barros  , Gabriela Nunes Lordello  , Thiago Renee Felipe  , Alexandre Alves Caribé da Cunha  , Liomar de Oliveira
Published: September 2024

Objetivo: Mapear as evidências mais recentes acerca do eixo intestino-cérebro, além de investigar se existe uma relação causal entre as duas condições na literatura. Ademais, enfatizar a importância da abordagem adequada deste achado, bem como a investigação de mecanismos que podem explicar a natureza deste relacionamento. Métodos: Foi realizada uma revisão integrativa com base em estudos indexados às plataformas Pubmed e Biblioteca Virtual em Saúde (BVS), utilizando-se os descritores “Gut-Brain Axis” e “Serotonin”. Os filtros utilizados para a busca foram: Estudos que fossem controlados e randomizados, publicados no período 2013-2024, e que estivessem disponíveis nos idiomas inglês ou português. Foram obtidos 5 periódicos ao final da coleta e análise. Resultados: Verificouse que, a partir dos estudos analisados, há uma relação de dependência importante no eixo intestino-cérebro, que pôde ser demonstrada a partir de experimentos envolvendo o manejo das condições da microbiota intestinal dos grupos submetidos à pesquisa, administrando-se probióticos, por exemplo. Consequentemente, resultados como melhora dos sintomas comportamentais e psicológicos, imunológicos, e de outros marcadores do Eixo Intestino - Cérebro, puderam ser demonstrados. Conclusão: Assim, isso pode representar uma estratégia terapêutica viável para o tratamento de distúrbios dessa via. No entanto, estudos controlados e randomizados adicionais são necessários, envolvendo metodologias mais consistentes, visando contornar as limitações até então existentes.
PALISERYE: PAGPAPALAWAK NG KASANAYANG PANG-MIDYA SA PAMAMAGITAN NG INTERAKTIBONG PALIHANNG GRADE 11 STUDENTS
Authors: Ivy Grace S. Calipes  , Cyryll Kate C. Jurada  , Kyan Michael Basinillo
Published: September 2024

Ang layunin ng pananaliksik na ito ay masukat ang antas ng kasanayang pang- midya ng mga mag-aaral sa baitang 11 ng Semong National High School bago at pagkatapos ng isang interaktibong pali-serye o serye ng mga palihan batay sa basic information skills,analysis and development skills, information and internet skills at problem solving skills. Ang pananaliksik na ito ay ginamitan ng kwantitatibong disenyo gamit ang dulog na pre-experimental upang tukuyin ang kasanayan ng 47 mga mag-aaral sa ika-11 baitang sa paggamit at pag-access ng mga pang-akademikong dihital na aplikasyon sa pamamagitan ng pagsasagawa ng pre-test at post-test upang matukoy kung mayroon o walang epekto ang interbensyong isinagawa. Batay sa resulta, ang antas ng kasanayan ng mga mag-aaral bago ang interbensyoon ay may kabuoang mean na 2.18, ibig sabihin ay mababa lamang ang kasanayan ng mga mag-aaral sa paggamit ng aplikasyong pang-midya. Samantala, pagkatapos naman ipinatupad ang interbensyon ay may kabuoang mean na 3.97 na nangangahulugang may mataas na kasanayan ang mga mag-aaral. Ipinakita rin sa pag-aaral na ito na mayroong makabuluhang ugnayan sa Pagitan ng Pre-Test at Post Test na isinagawa ng mga mag-aaral dahil sa 0.001 na p-value. Nangangahulugan lamang na ang interbensyon o programa ay nagkaroon ng positibong epekto sa mga mag-aaral, na nagpakita ng pagtaas sa kanilang kaalaman at kakayahan pagkatapos ng pagsasanay.
MGA SUSING SALITA: kasanayang pang-midya, pre-experimental, pre-test, post-test
Informe de Evaluación de Edificios e Inspección Técnica de Edificios en España 2023
Authors: Cerezo-Ibarrondo Álvaro , Lora-Tamayo-Ballvé Marta , Tejerina-González José Ignacio
Published: September 2024

El Informe de Evaluación de Edificio (IEE), heredero de la Inspección Técnica de Edificio (ITE), se configura como el instrumento de análisis y verificación del cumplimiento de las condiciones básicas de conservación y de comprobación tanto de las condiciones de accesibilidad universal como del comportamiento energético del edificio con carácter básico desde la Ley 8/2013, de 26 de junio, de rehabilitación, regeneración y renovación urbanas (L3R). Sin embargo, tras la STC 143/2017 son las Comunidades Autónomas (CCAA) las competentes para definir, concretar y articular todas sus determinaciones: su sujeción, exenciones, periodicidad, alcance, efectos, contenidos, formatos y registro. El presente estudio de investigación comparado es una radiografía del IEE/ITE en las diecisiete CCAA y en las dos ciudades autónomas españolas al objeto de identificar su grado de desarrollo, sus puntos comunes, divergencias y singularidades tras 10 años desde la L3R.
Current Status and Perspectives on the Use of Traditional Chinese Medicine in the Treatment of Gastric Cancer
Authors: Hu Yonghua , Yang Lei , Tong Jianning , Li Haiyuan , Wei Qinglin , Chen Hao
Published: September 2024

In recent years, the potential of Traditional Chinese Medicine in preventing and treating gastric cancer has gained clear recognition. However, there is a lack of comprehensive analysis of the data on the involvement of Traditional Chinese Medicine in the prevention, diagnosis, and treatment of gastric cancer. Therefore, this article aims to organize and analyze relevant information to provide a reference for the use of Traditional Chinese Medicine in the prevention and treatment of gastric cancer.
Possible roles of heteroreceptor complexes in excitotoxic processes
Authors: Guidolin Diego , Tortorella Cinzia , Marcoli Manuela , Cervetto Chiara , De Caro Raffaele , Maura Guido , Agnati Luigi F.
Published: September 2024

Excitotoxicity represents a neuropathological process, describing the toxic actions of excitatory neurotransmitters, where the excessive or prolonged activation of glutamate receptors triggers a cascade of events leading to neuronal injury or death. Under conditions of reduced energy availability and increased oxidative stress neurons become particularly vulnerable to excitotoxicity and a large body of available evidence indicates that excitotoxicity represents a central mechanism in the pathogenesis of acute and degenerative diseases of the central nervous system. Astrocytes represent key elements in the regulation of glutamate homeostasis by their opposing functions of glutamate uptake and release, and microglial cells play an important role in the response to damage. Depending on the phenotype they assume when activated, microglial cells can trigger immune defense or neuroprotective processes. To perform their functions both glial cell populations monitor the extracellular space through a panel of receptors. Furthermore, a variety of signaling pathways also contribute to the modulation of the glutamatergic transmission, acting on specific cell receptors expressed by neurons, astrocytes, and microglia. In the last decades, evidence has been provided that receptors of almost all families can establish structural receptor-receptor interactions, leading to the formation of heteroreceptor complexes at the cell membrane of neurons and glial cells. The cooperativity that emerges in the actions of ligands of the monomers forming these assemblies provides the cell decoding apparatus with flexible dynamics in terms of recognition and signal transduction and allows an integration of the incoming signals already at the membrane level. Available data on possible modulatory roles played by heteroreceptor complexes in excitotoxic processes will be here reviewed and discussed. From the pharmacological standpoint, these findings may offer possibilities to explore novel therapeutic strategies targeting receptor complexes to address disorders of the central nervous system associated with dysregulation of glutamatergic signaling.
Machine Learning Models for Probability Classification in Spectrographic EEG Seizures Dataset
Authors: Manolescu Denis , Buckley Neil , Secco Emanuele Lindo
Published: September 2024

The examination of brain signals, namely the Electroencephalogram (EEG) signals, is an approach to possibly detect seizures of the brain. Due to the nature of these signals, deep learning techniques have offered the opportunity to perform automatic or semi-automatic analysis which could support decision and therapeutical approaches. This paper focuses on the possibility of classifying EEG seizure using convolutional layers (namely EfficientNetV2 architectures, i.e., EfficientNetV2S and EfficientNetV2B2), Long Short-Term Memory (LSTM) units, and fine-tuned mechanisms of attention. We use these techniques to untangle the complexity of these signals and accurately predict seizures. The proposed system provided interesting results with an 86.45% accuracy under the Kullback-Leibler Divergence loss of 0.95. Moreover, these results showed that embedding LSTM layers deeply increases the quality of the results since these layers support the analysis of the spatial-temporal dynamics of the EEG signals. On the other hand, it is important to mention that hardware limitations could affect these results and therefore it is important, when setting this architectural system, to fine-tune the data set and balance the performance vs the computational cost of the process.
Features of restricted access information leaks in the Russian Federation
Authors: Gaysina Alina , Filatova Tatyana
Published: September 2024

According to official data, over the past year the number of personal data leaks has increased 4 times. The number of published personal data in 2023 exceeds the total population of the Russian Federation by 50 million. The study systematizes the statistics of information leaks in the context of impact factors and the composition of leaked user information in 2022-2023. In the course of analyzing statistical data from the largest vendors in Russia, the main characteristic features of personal data leaks in 2023 were identified and the vulnerabilities of domestic cyberspace were identified. The author identified the imperfections of legislative regulation of the processes of ensuring comprehensive protection of personal data and proposed directions for leveling the identified vulnerabilities.
Using a fuzzy pattern recognition method to monitor dusty rooms
Authors: Gromov Yuriy , Maksimova Elena , Karasev Pavel , Mustafa Abdulkadhim Al-Ameedee Dhahir
Published: September 2024

ABSTRACT
This article discusses a decision support system (DSS) based on fuzzy methods used to identify and process gas dynamic images obtained during monitoring and control of underground coal mine atmosphere processes. DSS supports ventilation operator solutions in complex and unforeseen gas dynamic situations. The work will analyze the quantitative and qualitative information used by the ventilation operator to make decisions. Based on these data, an analysis of the effectiveness of using fuzzy models and methods for interpreting and processing gas dynamic images will be carried out. Fuzzy models and methods of interpretation and processing of gas dynamic images will be proposed. In the future, based on these models and methods, the operator's decision support software will be developed.
Neuartige Konzepte für die Zustandsüberwachung und -analyse von Brückenbauwerken – Einblicke in das Forschungsvorhaben SPP100+/Novel Concepts for the Condition Monitoring and Analysis of Bridge Structures – Insights into the SPP100+ Research Project
Authors: Becks Henrik , Lippold Lukas , Winkler Paul , Moeller Max , Rohrer Maximilian , Leusmann Thorsten , Anton David , Sprenger Bjarne , Kähler Philipp , Rudenko Iryna , Arcones Daniel Andrés , Koutsourelakis Phaedon-Stelios , Unger Jörg F. , Weiser Martin , Petryna Yuri , Schnellenbach-Held Martina , Lowke Dirk , Wessels Henning , Lenzen Armin , Zabel Volkmar , Könke Carsten , Claßen Martin , Hegger Josef
Published: September 2024

Die Brückeninfrastruktur in Deutschland und Europa steht aufgrund steigender Verkehrslasten und alternder Bauwerke vor erheblichen Herausforderungen. Das DFG-Schwerpunktprogramm 2388 „Hundert plus – Verlängerung der Lebensdauer komplexer Baustrukturen durch intelligente Digitalisierung“ (SPP100+) strebt an, durch digitale Innovationen und prädiktive Instandhaltungsstrategien die Nutzungsdauer bestehender Brückenbauwerke zu verlängern. Der vorliegende Beitrag fokussiert sich auf das SPP100+ zugehörige Cluster „Monitoring und Simulation“, das sieben Teilprojekte umfasst. Die Projekte entwickeln fortschrittliche Methoden zur Überwachung und Zustandsbewertung von Brücken mittels Digitaler Zwillinge, hochauflösender Sensortechnik und numerischer Simulationen. Innovative Ansätze wie nichtlineare Modellanpassungen, stochastische Methoden und künstliche Intelligenz ermöglichen eine präzise und frühzeitige Identifizierung potenzieller Schäden. Die Kombination aus kontinuierlichem Bauwerksmonitoring und effizienter Datenauswertung ist entscheidend für die langfristige Sicherheit und Langlebigkeit bestehender Brücken und trägt darüber hinaus zur Ressourcenschonung bei.
Eczacılık Terminolojisi
Authors: Nemutlu Emirhan , Osmaniye Derya , Sabuncuoğlu Suna , Gürdal Bahar , Ulutaş Deniz Elif , Saka Ongun Mehmet
Published: September 2024

-
Kültürel Hegemonya Tartışmaları Çerçevesinde Netflix Türkiye Yerli Dizileri İncelemesi ve İzleyici Deneyimi
Authors: Yenigün Altın Şule , Demirci Kenan
Published: September 2024

Uluslararası dijital platformların sahip olduğu geniş içerik çeşitliliği, kültürü yerel olmaktan çıkararak farklı kültürlere kolaylıkla ulaşmamızla yol açmaktadır. Türkiye’de yayın yapan uluslararası dijital platformlardan biri olan Netflix Türkiye orijinal dizileri üzerine yapılan bu çalışmada, ‘Netflix Türkiye’ de yayınlanan yerli içerikler ve bu içeriklerin izleyicilerdeki karşılığının ortaya koyulması amaçlanmıştır. Bu amaçla Netflix Türkiye yerli dizileri, Levi Strauss’un dizisel yaklaşımından faydalanılarak incelenmiş ve Netflix Türkiye izleyicileriyle derinlemesine görüşme yapılmıştır. Görüşmelerde, katılımcıların Netflix Türkiye’nin yerli dizileriyle ilgili ne düşündüklerine, kültürel bir araç olarak Netflix Türkiye yerli dizilerini nasıl anlamlandırdıklarına ve dizilerde baskın olan temalarla ilgili düşüncelerine dair bilgilere ulaşılması hedeflenmiştir.
Çalışmanın sonucunda yerli dizi ve görüşmelerden elde edilen bulguların birbirini desteklediği sonucuna varılmıştır. İncelenen dizilerde yerel ve kültürel değerler, hayat tarzları ve cinsiyet ilişkileri şeklinde üç ana tema belirlenmiştir. Belirlenen bu temalarda, modern ve geleneksel değerlerin karşıtlıklarını sunan bir anlatı yapısı olduğu dikkat çekmiştir. Netflix Türkiye yerli dizilerinde Türkiye’ye ait yerel ve kültürel unsurların yoğun kullanıldığı ve bu unsurların oryantalist ve mistik öğelerle ilişkilendirildiği görülmüştür. İncelenen dizilerde genellikle sosyoekonomik olarak farklı sınıflara ait yaşam biçimlerinin ve bu yaşam biçimleri arasındaki farklılıkların sunulduğu görülmüştür. Her ne kadar ticari kaygılar güden bir platform olsa da bu çalışmadan elde edilen sonuçlar, Netflix’in yayın yaptığı ülkelerin kültürlerini ve değerlerini istediği şekilde yeniden üretme gücüne sahip kültürel bir araç olduğunu göstermektedir. Görüşmeciler, platformu bir yandan sahip olduğu arayüz, kullanıcı algoritmaları, içerik çeştliliği gibi özellikler için tercih ederken bir yandan da bazı içerikleri sadece gündemden geri kalmama kaygısıyla izlemek zorunda hissettiklerini belirtmişlerdir. Bu durum, Netflix ve izleyicileri arasında kopması güç bağların oluşmasına yol açmakta ve platformun kullanıcılarını kontrol altında tutmayı başarmasıyla sonuçlanmaktadır.
La Legislación Boliviana ante la Contaminación del Lago Uru Uru
Authors: Coca Ignacio Freddy Eduardo , Gutiérrez Miranda Abigail Johana , Choque Escobar Karen Fabiola
Published: September 2024

La normativa de un país surge por la necesidad imperiosa de regular los hechos y necesidades que afectan a los intereses de la sociedad. La inoperancia por aquellos que tienen el trabajo de hacer prevalecer la misma está presente, por ello, hacemos alusión al Lago Uru Uru, el cual es objeto de estudio debido a la magnitud e importancia que tiene en la naturaleza, pero actualmente se encuentra sumamente afectada por la contaminación, falta de políticas adecuadas y el incumplimiento de las normas. En ese contexto, en primera instancia se da a conocer que el Lago Uru Uru, es parte fundamental para el desarrollo de la biodiversidad del territorio nacional, pero también se ha reconocido a nivel internacional al ser declarado como Humedal, se ha podido presenciar que la contaminación viene desde los desechos de las personas, los residuos que deja el área minera, y otros. Se tiene presente que existe la intención de contribuir para regenerar esta zona, pero no basta el esfuerzo de un número de personas, si existe un desinterés por las autoridades responsables de su preservación. La normativa está presente mediante la Ley N° 755 y la Ley N° 1333 para proteger el área natural; sin embargo, se debe tomar en cuenta que por la afección de esta zona los animales que habitan el lago se ven afectados, por ello se toma en cuenta la Ley N° 700, empero es atribución de la autoridad pertinente exigir el cumplimiento y ver los mecanismos legales para poder ejecutarlos de forma correcta y apropiada.
OPTIMIZATION OF VCO LOTION PREPARATIONS WITH VARIATIONS CETYL ALCOHOL AND CARRAGEEN CONCENTRATIONS USING SLD METHOD
Authors: Sabiti Farroh Bintang , Sholeh Aries Badrus , Musyayadah Zahrotul
Published: September 2024

Lotion is a cosmetic preparation of an emollient group that contains a large amount of water. This formulation possesses several properties, namely, as a source of moisture for the skin, providing an oily layer that makes the hands and body soft. VCO is utilized as a natural skin moisturizer to prevent tissue damage and protect the skin. VCO has a very high moisture content, which prevents skin dryness. A lotion was formulated with an emulsifying agent to stabilize the emulsion system. One of the constituent ingredients of the lotion is cetyl alcohol, which functions as an emulsifying agent. Cetyl alcohol can be substituted by carrageenan, which serves the same function with the added benefit of being a humectant. The aim of this study was to identify the formulation of VCO lotion and to investigate the effect of different concentrations of the emulsifying agents cetyl alcohol and carrageen on physical evaluation tests, namely organoleptic tests, homogeneity tests, spreading tests, pH tests, adhesion tests, emulsion type tests, and viscosity tests in lotion formulations. An experimental method was employed in this study. The research was carried out by making lotions from various ingredients containing the active ingredient VCO at a concentration of 7%, as well as varying concentrations of cetyl alcohol (range 2-5%) and carrageenan (range 1-3%) as an emulsifying agent and additional ingredients for the preparations whose optimization had been determined using the simplex lattice design method ...
Actual tasks of the development of river container transportation
Authors: Korshunov Dmitry A. , Nasedkina Ekaterina S.
Published: September 2024

The article is devoted to proposals within the framework of strategic objectives for the development of multimodality in river cargo transportation. The introduction describes the current state of river port infrastructure, assesses its readiness for containerization and provides statistics on such transportation. The materials and methods formulate strategic objectives for solving the problems of effective functioning of river transport in modern conditions. The results show the technology for reloading container cargo with portal cranes. results of calculating the travel time of container cargo along the route St. Petersburg - Kazan, taking into account transshipment by water and rail transport. The authors included scientific and practical recommendations for the discussion on the formation of a container line and the composition of ports on it. In conclusion, it was concluded that container transportation has prospects for development on river highways, which will contribute to both achieving the strategic goal of developing multimodality in transport and logistics schemes involving inland water transport, and can also lead to an increase in cargo traffic, improving the quality of transport services for clients and increasing competitiveness of river highways, which is especially important in the current conditions of the breakdown of traditional logistics connections.
Antioxidant And Anticancer Potential of Bioactive Compounds from Locally Isolated Microalgae
Authors: Ain Nafiza Basha  , Fazrena Nadia Md Akhir  , Nor’azizi Othman  , Hirofumi Hara
Published: September 2024

The current cancer therapy research focuses on the curative strategies but also targeting to improve the development of the preventive strategies. Anticancer, antibacterial, antioxidant, and anti-inflammatory effects have been demonstrated by the bioactive compound extracted from microalgae. Marine organisms, particularly microalgae might be one the alternative that may contribute to the achievement of one of Sustainable Development Goals (SDG) which is SDG 3, Good Health and Wellbeing. It is crucial for long-term sustainable development to ensure healthy lives and promote well-being at all ages. Two microalgal samples from Malaysia Acutodesmus obliquus (CN01) and Desmodesmus perforates (SP04) were isolated from fresh waters and cultivated. A total of three different solvents, polar, intermediate and nonpolar solvent was used to extracts the microalgae sample which are methanol, acetone and hexane, respectively. Acutodesmus obliquus and Desmodesmus perforates extracts show low total phenolic content in range from 0.2447 ± 0.0009 to 0.2614 ± 0.0003. Secondly, the antioxidants activity of both microalgae shows significant radical scavenging activity especially in acetone extracts of both microalgae, with values of 11.5433 ± 0.0115 and 13.5847 ± 0.0618 for Acutodesmus obliquus (CN01) whereas Desmodesmus (SP04), 13.7898 ± 0.2601 and 22.3212 ± 0.2302 scavenging activity percentage. Then, the anticancer effect of the crude extracts was tested against breast cancer, MCF-7 breast cancer cell lines by using MTT assay and apoptosis assay. Methanolic extract has demonstrated high antiproliferative effect against MCF-7, with cell inhibition percentage within range of 87±1.1271 % to 73 ± 0.2744 % and 82 ± 0.0236 % to 73 ± 0.0423 % of Acutodesmus obliquus (CN01) and Desmodesmus (SP04) respectively. Finally, both microalgae show similar compound group as HPLC is used to identified lipid, which is believed to play the big role in contributing to anticancer and antioxidant activity. This suggests that Acutodesmus obliquus sp and Desmodesmus perforates sp possess diverse biosynthetic capacities, potentially enabling the creation of new pharmaceuticals.
Predicting Heart Disease through Machine Learning Methods
Authors: S Latthika
Published: September 2024

Heart diseases including heart attacks, cause about 31% of global deaths, remaining a significant health threat despite preventability. Limited tech advancements and awareness, especially in developing nations, amplify this challenge. Machine learning offers promise in tackling this issue, with studies advocating ensemble methods for accurate predictive models. These models analyze extensive medical data to efficiently predict heart diseases, undergoing stages like data exploration, feature selection, model implementation, and comparative analysis. A model using Logistic Regression, Naive Bayes, and Random Forest initially identified top-performing models, later refined to CatBoost, RandomForest, and XGBoost through cross-validation and tuning. A hybrid model, combining Logistic Regression, CatBoost, and RandomForest, achieved a 97% accuracy, showcasing improved precision, recall, F1 score, and ROC AUC. This underscores machine learning's potential in enhancing predictive accuracy and refining strategies to combat heart diseases effectively.
The Impact of Vaccination Programs on the Prevention of Infectious Disease Tuberculosis: A Case Study with Gasabo District in Rwanda
Authors: Murekatete Celine , Ouko Vinsam
Published: September 2024

Introduction Tuberculosis (TB) remained a significant public health challenge globally, including in Gasabo District, Rwanda. Vaccination programs, particularly Bacille Calmette-Guérin (BCG) vaccination, played a crucial role in TB prevention. This study aimed to assess the impact of vaccination programs on TB prevention in Gasabo District, Rwanda, by analyzing vaccination coverage, TB incidence rates, demographic characteristics, and healthcare system factors.  Methods A retrospective cohort study design was employed, utilizing secondary data sources from healthcare facilities in Gasabo District. Data on vaccination coverage, TB incidence rates, demographic characteristics, and healthcare system factors were collected and analyzed. Statistical methods, including regression analysis and descriptive statistics, were used to assess the association between vaccination programs and TB prevention outcomes.  Findings The study found a significant association between BCG vaccination coverage and lower TB incidence rates in Gasabo District. Higher vaccination coverage was associated with reduced TB incidence rates, particularly among children. However, challenges such as incomplete vaccination data, potential confounding factors, and socio-economic disparities were identified. Despite these challenges, vaccination programs were found to be effective in reducing TB transmission and protecting vulnerable populations from TB infection.  Conclusion The findings highlighted the importance of vaccination programs in TB prevention efforts in Gasabo District, Rwanda. Strengthening vaccination coverage, enhancing healthcare system capacity, addressing socio-economic determinants, fostering collaborations, promoting research and innovation, and strengthening surveillance and monitoring systems are essential for optimizing TB prevention efforts. By implementing these recommendations, we can accelerate progress towards ending the TB epidemic and improving public health outcomes in Gasabo District and beyond.
Perceptions and Attitudes of the Mass Promotion Policy Relative to Mathematics Learning at the Senior High School Level, Ghana
Authors: Pwaniga Samuel , Banawono Apara Michael , Awingura Alagbela Alaric
Published: September 2024

The study investigated the perceptions and attitudes of the mass promotion policy relative to students’ mathematics learning in senior high schools. Two research questions were used to guide the study. The researchers employed Social Cognitive Theory and the theory of self-determination to back the study. The study was linked with a pragmatist worldview that made use of a mixed methods approach. The design employed by the researchers as a convergent parallel design. A simple random sampling technique was used to sample students and teachers while a purposive sampling technique was employed in the case of heads of mathematics departments of the sampled schools. Three hundred and twenty-five (325) respondents or participants responded to questionnaires and interviews for the data collection. The methods of data analysis were descriptive statistics and thematic analysis. The findings showed that the mass promotion policy does not promote effective learning of mathematics but rather promotes indiscipline behaviors among students. Students' absenteeism, refusal to do class tasks, inattentiveness, disrespect, sleeping during lessons, and skipping classes were the attitudes put up toward mathematics learning. The researchers recommended that stakeholders, policymakers, and authorities should revise the mass promotion policy based on as per the findings revealed.
Examining the Role of Media in Shaping Rural Residents’ Perceptions of Gas Flaring Effect on Environment Pollution in Nigeria
Authors: Sofiullahi Abdulwaheed
Published: September 2024

Gas flaring poses threats to agriculture and human wellbeing, especially in developing countries. Nigeria remains one of the most gas flaring countries in the world. Hence, gas flaring is of pivotal societal concern in Nigeria. The most affected regions are the rural areas of the country – namely, Niger Delta. The media, however, is instrumental in shaping the public’s opinion on this matter; it engenders attitudes, positive or negative; reorients policies that are put in place to aid enabling environment where the effects of gas flaring are largely attenuated or completely consigned to the past. The aim of this paper is to examine the role of media in framing rural residents’ perceptions of gas flaring effect on environmental pollution in Nigeria. This paper aims to set in embryonic term the power of media, uncover the initial and current role of media in framing the perceptions of rural resident’s on this issue, and propose a sketchy way forward.
Analysis of Leadership Styles Practiced in Construction Projects – A Review
Authors: Nishok Purasinghe Sahan
Published: September 2024

The seminar paper provides a review of previous research findings backed by a pragmatic perspective pertaining to the topic of leadership styles practiced in construction projects. The paper provides a detailed collated review of various leadership styles based on prominent leadership theories that are practiced worldwide at present alongside a pragmatic analysis of the feasibility of the said leadership styles for construction projects. The paper has been structured in a manner that includes a brief introduction to the topic, definition of leadership, theories and styles, importance of the analysis of leadership styles followed by the discussion section that provides a comprehensive review of the characteristics, advantages, disadvantages, examples, best fit situations and the feasibility of each selected leadership style. Finally, the paper is concluded with recommendations that could be applied across the board to improve leadership within construction projects. The author anticipates that the content provided in this seminar paper shall be beneficial for effective decision making by organizational leadership to establish high performing construction project teams led by appropriate leaders that not only are focused on the achievement of scope, schedule, cost and quality requirements but also the wellbeing of team members.
Ukrainian Waste for the Soviet Economy: Shaping the National Narrative
Authors: PERGA TETIANA
Published: September 2024

The environmental history of Ukraine in the twentieth century is replete with various and still understudied facets. However, contemporary research predominantly employs imperial narratives, which elucidate it through the prism of Soviet history, depriving it of subjectivity and the uniqueness of the local context. This essay proposes an alternative approach. Through the example of waste recycling in the Ukrainian SSR, which was one of the Soviet republics from 1922 to 1991, we aim to demonstrate the importance of reinterpreting its environmental history by studying multi-vector centre–periphery relations in the Soviet Union. This case seeks to demonstrate not only the formation in the 1920s of Soviet colonial practices of resource extraction, including that of waste, from the periphery – the Soviet republics – but also attempts to resist these in the first decade of the Soviet totalitarian regime’s formation. This essay is based on documents from Ukrainian archives, which are introduced into scholarly circulation for the first time, and on statistical collections of documents from the USSR.
Closeby Habitable Exoplanet Survey (CHES). II. An Observation Strategy for the Target Stars
Authors: Tan Dongjie , Ji Jianghui , Bao Chunhui , Huang Xiumin , Chen Guo , Wang Su , Dong Yao , Li Haitao , Zhang Junbo , Fang Liang , Li Dong , Deng Lei , Liu Jiacheng , Zhu Zi
Published: September 2024

The Closeby Habitable Exoplanet Survey (CHES) constitutes a mission intricately designed to systematically survey approximately 100 solar-type stars located within the immediate proximity of the solar system, specifically within a range of 10 pc. The core objective of this mission is the detection and characterization of potentially habitable Earth-like planets or super-Earths within the habitable zone of these stars. The CHES mission obtains high-precision astrometric measurements of planets orbiting the target stars by observing angular distance variations between the target star and reference stars. As a result, we surveyed the relevant parameters of both target and reference stars in detail, conducting a thorough analysis and calculation of the required observation accuracy, the number of observations, and the priority assigned to each target star. Observational emphasis will be concentrated on targets considered of higher priority, ensuring the effectiveness of their observation capabilities. Through this approach, we formulate a 5 yr observation strategy that will cover all the target stars within a 6 month time frame. The strategy not only fulfills the required observing capability but also exhibits high efficiency simultaneously, providing an executable program for future mission. Over the span of the mission’s 5 yr duration, a cumulative observation time of 29,220 hr will be available. Approximately 86% of this, totaling 25,120 hr, is allocated for the observation of target stars. This allocation leaves approximately 4100 hr for extended scientific observation programs. We have also performed simulated observations based on this strategy and verified its observational capability for exoplanets.
Detecting and Classifying Flares in High-resolution Solar Spectra with Supervised Machine Learning
Authors: Hao Nicole , Flagg Laura , Jayawardhana Ray
Published: September 2024

Flares are a well-studied aspect of the Sun’s magnetic activity. Detecting and classifying solar flares can inform the analysis of contamination caused by stellar flares in exoplanet transmission spectra. In this paper, we present a standardized procedure to classify solar flares with the aid of supervised machine learning. Using flare data from the RHESSI mission and solar spectra from the HARPS-N instrument, we trained several supervised machine-learning models, and found that the best-performing algorithm is C-Support Vector Classification (SVC) with nonlinear kernels, specifically radial basis functions (RBF). The best-trained model, SVC with RBF kernels, achieves an average aggregate accuracy score of 0.65, and categorical accuracy scores of over 0.70 for the no-flare and weak-flare classes, respectively. In comparison, a blind classification algorithm would have an accuracy score of 0.33. Testing showed that the model is able to detect and classify solar flares in entirely new data with different characteristics and distributions from those of the training set. Future efforts could focus on enhancing classification accuracy, investigating the efficacy of alternative models, particularly deep learning models, and incorporating more data sets to extend the application of this framework to stars that host exoplanets.
Three-dimensional Simulations of the Magnetorotational Instability in Eccentric Disks
Authors: Chan Chi-Ho , Piran Tsvi , Krolik Julian H.
Published: September 2024

Previously we demonstrated that the magnetorotational instability (MRI) grows vigorously in eccentric disks, much as it does in circular disks, and we investigated the nonlinear development of the eccentric MRI without vertical gravity. Here we explore how vertical gravity influences the magnetohydrodynamic (MHD) turbulence stirred by the eccentric MRI. Similar to eccentric disks without vertical gravity, the ratio of Maxwell stress to pressure, or the Shakura–Sunyaev α parameter, remains ∼10−2, and the local sign flip in the Maxwell stress persists. Vertical gravity also introduces two new effects. Strong vertical compression near pericenter amplifies reconnection and dissipation, weakening the magnetic field. Angular momentum transport by MHD stresses broadens the mass distribution over eccentricity at much faster rates than without vertical gravity; as a result, spatial distributions of mass and eccentricity can be substantially modified in just ∼5 to 10 orbits. MHD stresses in the eccentric debris of tidal disruption events may power emission ≳1 yr after disruption.
Dynamical and Secular Stability of Mutually Inclined Planetary Systems
Authors: Bhaskar Hareesh Gautham , Perets Hagai
Published: September 2024

Multiple analytical, semi-analytical, and empirical stability criteria have been derived in the literature for two-planet systems. But, the dependence of the stability limit on the initial mutual inclination between the inner and outer orbits is not well modeled by previous stability criteria. Here, we derive a semi-analytical stability criteria for two-planet systems, at arbitrary inclinations, in which the inner planet is a test particle. Using perturbation theory we calculate the characteristic fractional change in the semimajor axis of the inner binary β = δ
a
1/a
1 caused by perturbations from the companion. Stability criteria can be derived by setting a threshold on β. Focusing initially on circular orbits, we derive an analytical expression for β for coplanar prograde and retrograde orbits. For noncoplanar configurations, we evaluate a semi-analytical expression. We then generalize to orbits with arbitrary eccentricities and account for the secular effects. Our analytical and semi-analytical results are in excellent agreement with direct N-body simulations. In addition, we show that contours of β ∼ 0.01 can serve as criteria for stability. More specifically, we show that (1) retrograde orbits are generally more stable than prograde ones; (2) systems with intermediate mutual inclination are less stable due to von Ziepel–Lidov–Kozai (vZLK) dynamics; and (3) mean motion resonances (MMRs) can stabilize intermediate inclination secularly unstable regions in phase space, by quenching vZLK secular processes (4) MMRs can destabilize some of the dynamically stable regions. We also point out that these stability criteria can be used to constrain the orbital properties of observed systems and their age.
Precise Bolometric Luminosities and Effective Temperatures of 23 Late-T and Y Dwarfs Obtained with JWST
Authors: Beiler Samuel A. , Cushing Michael C. , Kirkpatrick J. Davy , Schneider Adam C. , Mukherjee Sagnick , Marley Mark S. , Marocco Federico , Smart Richard L.
Published: September 2024

We present infrared spectral energy distributions of 23 late-type T and Y dwarfs obtained with the James Webb Space Telescope. The spectral energy distributions consist of NIRSpec PRISM and MIRI low-resolution spectrometer spectra covering the ∼1–12 μm wavelength range at λ/Δλ ≈ 100 and broadband photometry at 15, 18, and 21 μm. The spectra exhibit absorption features common to these objects including H2O, CH4, CO, CO2, and NH3. Interestingly, while the spectral morphology changes relatively smoothly with spectral type at λ < 3 μm and λ > 8 μm, it shows no clear trend in the 5 μm region where a large fraction of the flux emerges. The broad-wavelength coverage of the data enables us to compute the first accurate measurements of the bolometric fluxes of cool brown dwarfs. Combining these bolometric fluxes with parallaxes from Spitzer and Hubble Space Telescope, we also obtain the first accurate bolometric luminosities of these cool dwarfs. We then used the Sonora Bobcat solar-metallicity evolutionary models to estimate the radii of the dwarfs, which results in effective temperature estimates ranging from ∼1000 to 350 K with a median uncertainty of ± 20 K, which is nearly an order of magnitude improvement over previous work. We also discuss how various portions of the spectra either do or do not exhibit a clear sequence when ordered by their effective temperatures.