bluuebunny/crossref_metadata_2025 huggingface dataset:
Çocuklar için Gıda ve Beslenme Okuryazarlık Ölçeği’nin Geliştirilmesi: Geçerlik ve Güvenirlik Çalışmaları
Authors: Tanış Özçelik Arzu , Yılmaz Eyüp , Özmaldar Rümeysa
Published: November 2024

Bu çalışmada, ilkokul öğrencilerinin gıda ve beslenme okuryazarlık düzeylerinin belirlenmesi için geçerli ve güvenilir bir ölçek formunun geliştirilmesi amaçlanmıştır. Araştırmanın örneklem grubunu uygun örnekleme yöntemi ile belirlenen 929 ilkokul dördüncü sınıf öğrencisi oluşturmaktadır. Araştırma verileri, araştırmacılar tarafından geliştirilen ve 26 maddeden oluşan taslak Gıda ve Beslenme Okuryazarlık Ölçeği (GBOÖ) aracılığıyla toplanmıştır. Açımlayıcı faktör analizi sonucunda 15 maddeden oluşan dört faktörlü (zararlı tüketim, ambalaj okuma, faydalı tüketim ve etkileşim) bir yapı elde edilmiş ve elde edilen yapı doğrulayıcı faktör analizi ile doğrulanmıştır (χ2/sd= 1,729; RMSEA=.040; SRMR=.043; CFI=.92; TLI=.90). Ayrıca GBOÖ'nün yakınsak ve ayırt edici geçerliğe sahip olduğu belirlenmiştir. Ölçme aracının güvenirlik çalışmaları kapsamında Cronbach Alpha (α) iç tutarlılık ve kompozit (CR) güvenirlik katsayıları hesaplanmış ve test yarılama tekniğinden faydalanılmıştır. Elde edilen sonuçlar GBOÖ'nün güvenilir sonuçlar ürettiğini ortaya koymuştur. Sonuç olarak geliştirilen GBOÖ’nün çocukların gıda ve beslenme okuryazarlık düzeylerini geçerli ve güvenilir bir şekilde ölçebilecek bir araç olduğu ortaya çıkmıştır. GBBÖ, öğrencilerin gıda ve beslenme okuryazarlık düzeylerini izlemek ve değerlendirmek için kullanılabilir.
Limitations and suggestions for type 2 diabetes mellitus and pancreatic neuroendocrine tumors based on meta-analysis
Authors: Huang Wei , Huang Yi-Qi , Yang Guo-Li
Published: November 2024

We read with great interest the systematic review and meta-analysis by Cigrovski Berkovic et al published recently, which evaluated the association between type 2 diabetes mellitus (T2DM) and pancreatic neuroendocrine tumors (pNETs). The study identified T2DM as a risk factor for the development of pNETs and linked it to poor tumor-free survival. However, due to the limited number of studies and high heterogeneity, the role of metformin in the diagnosis and prognosis of pNETs remained inconclusive. We believe the study has some limitations regarding literature search, risk of bias assessment, and analysis of heterogeneity and publication bias. Expanding the search to more databases, applying more appropriate bias assessment tools, and using better statistical methods to evaluate heterogeneity and publication bias would strengthen the study’s conclusions. Addressing these concerns could provide more robust evidence for understanding the diagnostic and prognostic impact of T2DM in pNETs.
Enxerto De Pele Após Síndrome Compartimental Em Antebraço: Relato De Caso
Authors: Abreu Luiza Di Loreto , Harfuch Gabriel Rodrigues , Tescarolli Arthur , Nonose Nilson , Ninomiya André Felipe
Published: November 2024

Introdução: A síndrome compartimental é uma condição clínica emergencial caracterizada pelo aumento da pressão em um compartimento muscular, o que compromete a perfusão sanguínea e provoca danos teciduais. Quando não tratada de forma imediata, pode resultar em complicações severas, como necrose muscular e perda funcional do membro afetado. Objetivo: Relatar um caso de síndrome compartimental em antebraço tratada com enxerto de pele.
Método: Este estudo descreverá um paciente atendido no Hospital Universitário São Francisco na Providência de Deus (HUSF), localizado em Bragança Paulista – SP.
Relato do Caso: Paciente masculino, 45 anos, admitido após picada de serpente Bothrops no antebraço esquerdo, apresentou dor intensa, edema progressivo e sinais locais de envenenamento. Apesar do soro antiofídico e analgesia, desenvolveu sinais de síndrome compartimental, sendo necessária uma fasciotomia de emergência. A cirurgia proporcionou alívio da pressão, com evolução satisfatória e posterior enxerto cutâneo para fechamento da ferida. Após recuperação completa, o paciente apresentou mínima perda funcional e sem complicações adicionais.
Conclusão: A evolução do caso apresentado foi favorável, evidenciando a importância de uma abordagem rápida e eficaz em envenenamentos por serpentes. A administração precoce do soro antiofídico e o manejo adequado das complicações, como a síndrome compartimental, foram fundamentais para preservar a função do membro afetado e evitar sequelas. A fasciotomia e o enxerto cutâneo, seguidos de cuidados pós-operatórios, garantiram a recuperação completa do paciente, que manteve a funcionalidade e não apresentou complicações adicionais. Esse caso reforça a necessidade de vigilância e intervenção multidisciplinar para otimizar os desfechos em acidentes ofídicos graves.
Layanan Pendidikan Berkualitas Bagi Siswa Berkebutuhan Khusus Melalui Aplikasi Informasi Terpadu SLBN 25 Sintang (INTERTANG)
Authors: Nur Rohmah
Published: November 2024

Inclusive education in Indonesia faces challenges in ensuring accessibility, efficient education management and effective communication, especially for students with special needs. SLBN 25 Sintang developed the Integrated Information Application (INTERTANG) as a technology-based solution to overcome these challenges, but its implementation has not been fully optimised. This research identifies knowledge gaps related to the effectiveness of the INTERTANG application in supporting inclusive education services through information access, data management and communication. The methodology used is a literature review with a qualitative descriptive approach, which examines literature sources related to inclusive education, information technology and education management. The results showed that INTERTANG significantly improved information access through a transparent and easily accessible data-driven platform, improved education management through efficient data management features and enhanced communication between students, parents and teachers. In addition, the app contributes to improving the quality of education services and becomes a strategic tool in supporting an inclusive curriculum. The implication of this research is that INTERTANG can be a model to be implemented in other schools and strengthen technology-based inclusive education management. This research recommends further development in educator training and expansion of the app's implementation in a broader context to improve the quality of inclusive education in Indonesia. This research contributes to the development of a technology-based inclusive education model that can be applied in Indonesian schools, as well as providing directions for improving the effectiveness of technology app implementation in the context of special needs education
An Eocene conger eel (Teleostei, Anguilliformes) from the Lillebælt Clay Formation, Denmark
Authors:   Dipartimento di Scienze della Terra, Uni versità degli Studi di Torino, Italy, Carnevale Giorgio , Schwarzhans Werner ,   Natural History Museum of Denmark, Schrøder Ane Elise ,   Natural History Museum of Denmark, Lindow Bent Erik Kramer ,   Natural History Museum of Denmark
Published: November 2024

A conger eel (Anguilliformes, Congridae) is described from the lower Lutetian concretionary nodules of the Lillebælt Clay Formation exposed at Trelde Næs, eastern Jutland, based on two partially complete articulated cranial skeletons. One of the cranial specimens exhibits an otolith void from wich a cast was taken, used by Schwarzhans (2007) to describe the extinct Pseudoxenomystax treldeensis, which is placed herein within the new genus Smithconger gen. nov. Smithconger treldeensis (Schwarzhans, 2007) is characterized by well-developed lateral processes on the frontals, supraoccipital crest absent, sphenotic spine rather large, anteriorly pointed and exposed on the flattened surface of the skull roof, otic bullae considerably reduced, maxilla almost straight and distally pointed, maxillary and dentary teeth numerous and arranged in multiple rows, dentary with slightly convex ventral profile, opercle with smooth posterior margin and subopercle short. The otoliths of Smithconger treldeensis show high dorsal rim, broad and deep dorsal depression, no ventral furrow, sulcus straight, shallow, centrally positioned with anteriorly reduced colliculum, and ostial channel at anterior tip of colliculum short, not reaching the predorsal rim. The otolith-based species Bathycongrus waihaoensis Schwarzhans, 2019 from the Kaiatan (Bartonian/Priabonian) of New Zealand is also assigned to the genus Smithconger. Smithconger is tentatively referred to the congrid subfamily Congrinae due to the lack of hypohyals in the hyoid bar. This new Eocene genus of conger eel shows a certain degree of similarity with the extant Bassanago. The diversity and relationships of other Eocene congrids is also briefly discussed.
Sürdürülebilir Kalkınmada Dijital Dönüşüm ve Yapay Zekâ Uygulamaları
Authors: Aygün Çakıroğlu Melike , Şener Fidan Fatma , Kızılkaya Aydoğan Emel , Savaşcıhabeş Asuman , Leblebici Koçer Leyla , Uyar Kumru , Sargın Sinem , Ertürk Çetinkaya Sevde , Genç Gamze , Akıllı H. Serkan , Taslak Soner , Demir Başaran Semra , Kaçmaz Rukiye Nur , Küçük Burak , Soysal Tamer
Published: November 2024

Sürdürülebilir Kalkınmada Dijital Dönüşüm ve Yapay Zekâ
Melike AYGÜN ÇAKIROĞLU
Fatma ŞENER FİDAN
Emel KIZILKAYA AYDOĞAN
Akıllı Şehirler ve Yapay Zeka
Asuman SAVAŞCIHABEŞ
Dijitalleşme- Nasıl Hazırlanıyorlar? Almanya, Japonya, Güney Kore ve Çin
Ahmet Fazıl ÖZSOYLU
Dijital Gelişmeler Çerçevesinde Tarım Sektörünün Analizi
Emine KILAVUZ
Dijital Pazarlama
Leyla LEBLEBİCİ KOÇER
Kumru UYAR
Sinem SARGIN
Enerji Sektöründe Yapay Zekâ Uygulamaları
Sevde ERTÜRK ÇETİNKAYA
Gamze GENÇ
Kamu Sektörü ve Yapay Zekâ Devrimi

Serkan AKILLI

Konaklama Ve Turizm Sektöründe Bulut Ağları ve Yeni Nesil Kablosuz Teknolojiler
Soner TASLAK
Nitelikli Eğitimi Sağlama ve Sürdürmede Yapay Zekânın Rolü
Semra DEMİR BAŞARAN
Sağlık Hizmetlerinde Dijital Dönüşüm
Rukiye Nur KAÇMAZ
Taşımacılık ve Lojistikte Yapay Zeka
Burak KÜÇÜK
Yapay Zekâ Alanında Temel Düzenlemeler ve BM Sürdürülebilir Kalkınma Hedefleri Bağlamında Afrika Kıtasına Bir Bakış
Tamer SOYSAL
Comparison of Profit Sharing Schemes and Opsen on PKB and BBNKB Receipts in East Java
Authors: Fitriana Annisa
Published: November 2024

This study analyzes the impact of the implementation of Opsen Motor Vehicle Tax (Pajak Kendaraan Bermotor/PKB) and Motor Vehicle Transfer Fee (Bea Balik Nama Kendaraan Bermotor/BBNKBP) on regional revenues of districts/cities in East Java. Using a quantitative approach and comparative analysis method, this study compares the revenue sharing scheme with Opsen based on the realization data of PKB and BBNKB in 2023. The simulation results show that the implementation of Opsen increases district/city revenues in aggregate by 10.08%, but decreases provincial revenues by IDR 0.41 trillion. The city of Surabaya experienced the highest increase in revenue, which was 73.25%, while Pacitan experienced the deepest decline. This difference is due to the number of motor vehicles registered in each region. This has the potential to cause horizontal income inequality between regions. However, these results are in line with the objectives of fiscal decentralization, namely strengthening local taxing power. However, an appropriate cost-sharing mechanism is needed to maintain the quality of PKB and BBNKB collection services. This study also found that the results differ from previous studies which concluded that Opsen always significantly increases regional revenues. These findings provide important implications for designing fairer and more sustainable fiscal policies at the regional level.
Internal Constitutional and Legal Means to Protect Currency
Authors: Al-Sultani Asst. Prof. Amar Muhsen Alwan
Published: November 2024

Currency is considered one of the most important means of dealing or exchange that man has known since ancient times, as it constitutes the backbone and main artery of the economy of any country. Being the primary means of dealing between people, it is necessary that it be a subject of their trust and reassurance so that they deal with it while being certain that it represents the truth of the matter. In terms of its nature and in terms of its value. This is so that the currency can play the important economic role assigned to it, the scope of which has extended from the regional sphere to the external level, where the currency has become a means of economic cooperation between countries. Given this importance of the currency, breach of confidence in it threatens the state’s interest in maintaining the strength of its economic entity and the solidity of its credit, in addition to harming the interests of individuals who lose their money in exchange for a worthless currency. Therefore, the legislator intervened and surrounded confidence in the currency with a fence of protection represented by the criminalization of those acts that change the currency. From its reality, as well as other actions related to that. The crime of counterfeiting is considered one of the dangerous crimes internally and externally. We have studied the means of constitutional and legal protection internally and how to punish the perpetrator of the crime of counterfeiting with the harshest penalties and make it a felony in order to reduce the risk of committing it, as it may be counterfeited by individuals, associations, or internal or external gangs. In this study, we reviewed (the concept of currency) in the first section and divided it into two topics. In the first, we dealt with (the definition of currency linguistically and legally). As for the second, we discussed (the concept of currency according to economists and jurists), and in the second section, we dealt with (the means of legislative and administrative protection of currency) and divided it. It is divided into two requirements: in the first requirement, means of legislative protection for currency, in second requirement, means of administrative protection for the currency, and in the third section (means of technical and social protection for the currency). We divided it into two demands: in the first requirement, means of technical protection for the currency, and in the second, means of social protection for the currency ((informing the public about characteristics of counterfeit currency). And the correct one)) We concluded this thesis with a conclusion and suggestions.
The Role of Financial Behavior in Economic Decision-Making: An Applied Study in Iraqi Private Exchange Financial Companies
Authors: Abed Ziad Najim
Published: November 2024

The impact of financial conduct on economic decision-making within private exchange finance firms in Iraq is examined in this paper. Particularly in fast-growing financial sectors like Iraq, financial behavior is studied as a crucial determinant of choices in economic settings. This study investigates the conduct of financial decision-makers within Iraqi private exchange firms, influencing general decision-making procedures and results. The sample from the Iraq Stock Exchange consists of a reasonable collection of private exchange financial firms actively engaged in the Iraqi financial scene. The findings show a favorable link between economic decision-making and financial behavior. More importantly, it was discovered that financial practices like risk assessment, information processing, and market prediction significantly affect decision-making, producing more positive economic results for these businesses. Understanding and evaluating these actions can help financial managers make more strategic and informed choices, promoting increased market stability and expansion. Expanding research on the Iraq Stock Exchange to encompass more thorough investigations across other kinds of financial organizations is one of the main suggestions of the paper. This more all-encompassing approach might help better grasp how different sectors' financial practices differ and provide a more thorough knowledge of how to improve Iraq's developing financial systems' decision-making process. The research emphasizes the need to encourage a more complex approach to financial behavior analysis to enhance the decision-making frameworks within the Iraqi banking industry.
Employability Of The Machine Learning Tools And Techniques In The Early Detection And Diagnosis Of Chronic Kidney Disease
Authors: Goel Vanshika
Published: November 2024

Chronic kidney disease is a significant medical condition that requires ongoing monitoring and early detection to prevent negative outcomes. This paper presents a novel research of using machine learning techniques on real-time clinical datasets for early CKD detection and progression tracking. In order to produce accurate insights into the onset and course of chronic kidney disease (CKD), predictive models are constructed utilizing a wide variety of clinical tests and patient data. The suggested approach combines test results with medical histories to evaluate longitudinally collected data in an efficient manner. Through the use of ensemble techniques, this study enhances the efficacy of machine learning algorithms for early CKD detection and progression monitoring. By integrating several clinical data sources, these methods enhance interpretability and accuracy, enabling medical professionals to maximize patient outcomes and treatment.
Artificial Intelligence-Based Intelligent Internet Of Things Services
Authors: Aalla Sasaank
Published: November 2024

The global Internet market is maturing, with strong potential for growth and vitality, and progressively taking on a larger role in fostering economic problems and development. In the future, with the help of artificial intelligence technology, big data technology, 5G and other new technologies, and with the expansion of Internet usage, the focus of Internet connection will move from people-oriented connection to Internet of things connection. The new coronavirus pneumonia outbreak that began in 2020 has expanded around the world and presented significant challenges to both society and the global economy. The maintenance of social operations, economic recovery, and the restart of employment and industry have all benefited greatly from the Internet. The use of the Internet of things has helped to advance economic development and mitigated some of the epidemic's negative impacts.
Thermal Properties of Nano Materials for Energy Storage Applications
Authors: Vellanki Sreyas
Published: November 2024

Energy storage technology is fundamental to modern power systems, especially as renewable energy sources continue to grow. The thermal properties of materials are critical for achieving efficient energy storage, with nanomaterials emerging as a transformative class of materials due to their unique thermal characteristics. This paper explores the role of nanomaterials in enhancing energy storage applications, focusing on their thermal conductivity, specific heat capacity, thermal expansion, and diffusivity. Through case studies and recent advancements, this paper highlights the potential of nanomaterials in high-efficiency energy storage systems, including phase change materials (PCMs), supercapacitors, and lithium-ion batteries, while also addressing challenges and future directions.
Chemical Robotics: Ethical Implications
Authors: Venkatesh Aparna
Published: November 2024

Chemical robotics combines the fields of robotics and chemistry to automate chemical processes, promising enhanced efficiency, safety, and precision. However, this integration raises significant ethical questions. This paper explores the ethical implications of chemical robotics, focusing on safety, job displacement, environmental impact, and the responsible use of technology. By analyzing these aspects, the paper aims to provide a comprehensive understanding of the ethical considerations involved in the deployment of robotic systems in chemical industries.
A Systematic Literature Review on Challenging Behavior in Special Needs Education in Japan
Authors:   The Society of Korea and Japan Education, Cho Sung-Ha
Published: November 2024

本研究は日本の特別支援教育に関する研究の中で、児童及び生徒の行動問題に関する近年の研究動向を探索することを目的とした。PRISMA指針に基づき、計24編の論文が分析対象となり、研究の時期、資料の種別、研究手法、主題に分けて分析を行い、さらにキーワードネットワーク分析を実施した。その結果、まず、問題行動に関する論文は毎年１編以上発表されており、紀要論文より学会誌に掲載された論文が多く、研究手法としては事例研究が20編と最も多かった。次に、介入および支援ストラテジーを主題とする論文が9編で最も多かった。最後に、キーワードネットワーク分析をした結果 、「問題行動」を中心として「特別支援学校」、障害種別である「ASD」、支援ストラテジーである「PBS」が高い次数中心性を示した。これらの結果は、日本の特別支援教育において、問題行動に対応するための様々な介入方法およびこれに関する教員研修の必要性、ASDや強度行動障害のような特定の障害種別に対する具体的な支援方法が重要な研究テーマとなっていることを示唆する。
The purpose of this study was to explore recent research trends on challenging behavior among children and students within the context of special needs education in Japan. A total of 24 research papers were analyzed according to the PRISMA guidelines, focusing on factors such as the research period, type of publication, research methods, and key topics. Additionally, a keyword network analysis was conducted. The results indicated the following: first, at least one paper on challenging behavior has been published annually, with more articles appearing in academic journals than in bulletins. Case studies were the most common research method, accounting for 20 of the papers. Second, intervention and support strategies were the most frequently addressed topics, with nine studies focused on these areas. Finally, the keyword network analysis revealed that 'challenging behavior' had high centrality, along with key terms such as 'special needs schools,' the disability category 'ASD,' and the support strategy 'PBS.' These findings highlight the need for specific and practical intervention methods and teacher training to deal with challenging behavior, as well as tailored support strategies for specific types of disabilities such as ASD or severe behavior disorders in the field of special needs education in Japan.
Многодетная семья в восприятии студентов
Authors: Р.Н. Киселёва
Published: November 2024

Демографические проблемы современной России определяются рядом факторов: снижением рождаемости, преобладанием однодетной семьи, ростом разводов и неполных семей, социальном сиротством, сокращением мужского населения в результате СВО. Несмотря на достижения социальной политики государства в отношении стимулирования рождаемости, прироста населения не наблюдается. Это определяет актуальность исследований в данной области и необходимость поиска средств воздействия на сознание молодежи, от которой и ожидается изменение демографической ситуации, увеличение рождаемости. Однако это невозможно реализовать без учета системы ценностей молодых людей и понимания того, какое место в ней занимают семья и дети. Сознание студенческой молодежи динамично, противоречиво, подвержено воздействию СМИ. Изменились духовно-нравственные ориентиры молодежи. С одной стороны, студенты демонстрируют поддержку традиционных ценностей, уважительное отношение к семье и детям, а с другой — отодвинулся возраст вступления в брак, преобладают ценности карьеры, потребления и досуга. В статье предпринята попытка изучить отношение студентов к многодетным семьям, определить наиболее значимые связи их восприятия с демографическими характеристиками, предложить пути совершенствования демографической политики в отношении данной категории населения.

The demographic problems of modern Russia are determined by a number of factors: declining birth rates, prevalence of single-child families, increase in divorces and single-parent families, social orphanhood, and the reduction of the male population as a result of the special military operation. Despite the achievements of the state’s social policy in terms of stimulating the birth rate, there is no population growth yet. This determines the relevance of research in this area and the need to find means of influencing the consciousness of young people, who are expected to change the demographic situation and increase the birth rate. However, this cannot happen without taking into account the value systems of young people and their understanding of the place of family and children in it. The consciousness of student youth is dynamic, contradictory, and subject to influence of the mass media. The spiritual and moral guidelines of young people have changed. On the one hand, students demonstrate support for traditional values, respectful attitude to family and children, but on the other hand, the age of marrying has become higher, and the values of career, consumption and leisure prevail. The article attempts to study college students’ attitudes towards large families, to identify the most significant relations between their perception and demographic characteristics, and to propose ways to improve demographic policy in relation to this category of citizens.
Gomitas: Revisión de sus Ingredientes, Proceso de Elaboración, Estabilidad, Vida Útil y Tendencias del Mercado
Authors: San Agustin Fragoso Briceidi Yazmin , García Curiel Laura , Pérez Flores Jesús Guadalupe , Contreras López Elizabeth , Pérez Escalante Emmanuel , Portillo Torres Lizbeth Anahí , González Olivares Luis Guillermo , Bautista Ávila Mirandeli , Ramírez Godínez Juan
Published: November 2024

Las gomitas son un producto popular en la industria de la confitería, caracterizadas por su variedad de sabores y formas atractivas. El principal desafío en su producción es equilibrar los ingredientes y optimizar los procesos para asegurar una excelente textura, sabor, aroma y calidad, mientras se adaptan a la demanda de productos más saludables y sostenibles. Esta contribución analizó la composición, procesos de elaboración, propiedades fisicoquímicas, vida útil y tendencias de las gomitas de grenetina. Los ingredientes principales son agua, sacarosa refinada, jarabe de maíz y grenetina, junto con aditivos alimentarios. Estudios recientes han explorado la inclusión de ingredientes como galato de epigalocatequina, miel, ácido cítrico, y extractos de frutas y vegetales para aumentar el contenido de proteínas y fibra, y reducir carbohidratos y azúcares. Su elaboración varía desde métodos artesanales hasta procesos industrializados, utilizando tecnologías de cocción semicontinua y continua. La calidad sensorial y la vida útil de las gomitas dependen de la interacción de los hidrocoloides y del control de la humedad y de la temperatura. En conclusión, el desarrollo de gomitas innovadoras con mejor valor nutricional y calidad sensorial es posible mediante la optimización de ingredientes y procesos de producción, aunque se requiere mayor investigación.
Efecto de Eichornia crassipes en el control de la calidad del agua en sistemas NFT
Authors: Huilcarema Enríquez Kevin Xavier , Baño Ordoñez Allison Nahomy , Castro Junco Jousefin Elizabeth
Published: November 2024

Este estudio evaluó el impacto de Eichornia crassipes (jacinto de agua) en la calidad del agua de sistemas hidropónicos NFT (Técnica de Película de Nutrientes) mediante la comparación de dos tratamientos: uno convencional (TA) y otro que incluía Eichornia crassipes (TJ). Se analizaron varios parámetros, como pH, demanda bioquímica de oxígeno (DBO5), conductividad eléctrica (CE) y oxígeno disuelto (OD). Los resultados indicaron que el pH se mantuvo estable en ambos tratamientos, y la temperatura promedio se situó en torno a los 23°C. En referencia a la DBO5, el tratamiento TJ logró una reducción de 3,2 mg/L a 3,05 mg/L; además, con el tratamiento TJ se logró disminuir la CE de 3,8 mS/cm a 3,2 mS/cm. En contraste, TA mostró un aumento de la CE. Respecto al oxígeno disuelto, TJ favoreció niveles más altos y estables, lo que benefició el crecimiento de las plantas, mientras que TA experimentó una disminución significativa en OD. El análisis multivariante reveló una correlación negativa entre tratamiento y DBO5 (-0,79) y una correlación moderada positiva entre CE y OD (0,57). Estos hallazgos demuestran que Eichornia crassipes es una alternativa para mejorar la calidad del agua en sistemas NFT y fomentar prácticas sostenibles en la agricultura urbana.
The Urgency of Strengthening Judges’ Authority in the Rechtvinding Process
Authors: Budi Susilo Eko , Susilowati Tri , Zaini Naya Amin
Published: November 2024

The rechtvinding process, or legal discovery, is one of the essential functions performed by judges, particularly when dealing with cases that are not clearly regulated in the laws and regulations. The urgency of strengthening judges' authority in the rechtvinding process is crucial considering the limitations of positive law that often cannot keep pace with the increasingly complex dynamics of society. On the one hand, this authority enables judges to ensure justice and meet the legal needs of the community. However, on the other hand, challenges such as ambiguities in regulations, subjectivity in interpretations, and a lack of accountability can reduce legal certainty. This article aims to examine the urgency of strengthening regulations regarding judges' authority in the rechtvinding process and to identify the weaknesses present in this process. Additionally, this article offers various measures that can be taken to enhance legal certainty, such as developing consistent jurisprudence and implementing stronger accountability principles. Thus, it is hoped that strengthening judges' authority in the rechtvinding process can support the achievement of a more responsive, fair, and trustworthy legal system for society.
Optimization of Delivery Costs of PT. Citra Van Titipan Kilat Makassar by Using the Danzing Method and Total Opportunity Cost Matrix-Sum Approach
Authors: Rangkuti Aidawayati , Chandra Brian , . Firman
Published: November 2024

Transportation is a very common problem for entrepreneurs, especially logistics entrepreneurs, PT Citra Van Titipan Kilat (TIKI) Makassar also faces the same problem. By using the danzing method (MODI), the minimum shipping cost of Rp 1,174,300 is obtained. By using the total opportunity cost matrix-sum approach (TOCM-SUM Approach) method, the minimum shipping cost is obtained at Rp 1,188,000. And the results of the comparison of the two methods, the danzing / modified distribution (MODI) method has the most optimal total delivery cost with a difference of Rp 13,700.
Enhancing Vaccine Efficacy and Accessibility through Microneedle Technology: A Review
Authors: Singh Aprajeeta , V. Koshti Shalaka , Shrivastav Riya , Tasgoankar Rupali
Published: November 2024

Microneedling, a minimally invasive technique involving the creation of microchannels in the skin, has emerged as a promising platform for vaccine delivery. The use of microneedles for vaccination represents a new era in immunization techniques, wherein patients no longer dread sharp pricks. Their breakthrough potential lies in their ability to deliver vaccines directly into the epidermis or dermis where a high density of immune cells improve the particularly relevant effects of vaccines. Their intro- duction has met various challenges often experienced with traditional methods like bites caused by fear, pain from needles, or even that any medical doctor may take a long to administer them. Microneedles could improve stability and lessen the dependence on cold chain transport systems since they can be prepared in dry form. In addition to providing an al- ternative to syringes, they are also considered less painful than them. The review highlights the potential of mi- croneedles to improve vaccination rates, especially in un- derserved populations, and identifies key areas for future research and development.
Socio-Economic Benefits of Machine Learning Deployment Platforms in Business: A Case Study of Baseten and Similar Models
Authors: Raval Shivang , Shah Rushil
Published: November 2024

ML deployment platforms have transformed the adoption of AI in business by reducing the technical barriers and costs associated with building and deploying AI models. Among these are Baseten, Bananas.dev, Stagelight AI, Replicate, and Modal Labs, to name a few accessible solutions that work for businesses ranging from startups to large enterprises. This paper discusses the socio-economic benefits of these platforms, especially their business efficiency, scalability, transformation in the workforce, and growth of the economy. In comparative analysis, we will examine each unique feature of these platforms, such as how easy they are to use, how easily they can be customized, and their scalability, which allows us to make some observations regarding their applicability to specific businesses. Utilising comparative analysis, performance benchmarking, and case study support empirical evaluation of their peculiarities and demonstrate their cross sectoral relevance.
Identification & Extraction of Fresh Water Snail (Filopaludina bengalensis) Polysaccharide
Authors: Mondal Rimi , Pattanayak Suman , Kanta Kanthal Lakshmi , Kumar Mondal Ashim , Bera Puja , Gorain Prasanta
Published: November 2024

Northeastern India's great biological diversity has earned it a reputation. For this study, Filopaludina bengalensis were selected. The aim of the present study was to investigate the presence of phytochemicals of the selected Mollusca. Morphoanatomical study on Filopaludina bengalensis was carried & different images was formed. Mollusca shells were digested with HCl. Centrifugation was done to take out the insoluble matter. Along with that snail enzyme was collected by starving it for days. Isolation of N-Acetyl D-glucosamine was done with extracted chitin and snail enzyme. FTIR analysis of Chitin & N-Acetyl D glucosamine was determined. With the help of graph peak was studied, N-acetyl D- glucosamine & chitin was compared with standard component. Our findings provided evidence that crude aqueous and organic solvent extracts of these tested snail contain medicinally important bioactive compounds and it justifies their use in the traditional medicines for the treatment of different diseases.
Advanced Data Analytics and Machine Learning Driven Fraud Detection and Data Loss Prevention for Automated Incident Response in the US Healthcare Corporations
Authors: Idoko Idoko Peter , Tiamiyu Damilare , Ugochukwu Uchenna Nneka , During Adegboyega Daniel
Published: November 2024

Fraud detection and data loss prevention are critical challenges facing US healthcare corporations as they strive to safeguard sensitive patient information and comply with stringent data protection regulations. The integration of advanced data analytics and machine learning has emerged as a powerful approach to enhance the efficiency and accuracy of detecting fraudulent activities and preventing data breaches. This study explores the application of machine learning-driven solutions in automating incident response for healthcare data security.

The research begins by examining the current landscape of data analytics and machine learning in fraud detection, emphasizing the limitations of traditional methods. Through an extensive literature review and analysis of case studies within the US healthcare industry, the paper identifies key areas where advanced technologies can bridge existing gaps. The methods section outlines the data collection process, the machine learning algorithms implemented, and the evaluation metrics used to measure model performance.

Results demonstrate the enhanced detection accuracy and prompt response capabilities of machine learning models compared to conventional techniques. The discussion delves into the implications of these findings, showcasing the transformative potential of automated incident response systems in reducing response times and mitigating data loss risks. Although promising, the study acknowledges limitations in data variability and model generalizability, suggesting avenues for further research.

The paper concludes with strategic recommendations for adopting machine learning solutions in healthcare security protocols. By highlighting best practices and policy recommendations, this research aims to provide a roadmap for healthcare corporations seeking to strengthen their data protection frameworks. The insights presented underscore the pivotal role of advanced data analytics and machine learning in fortifying healthcare data security against evolving cyber threats.
Informe del Gerente General 2019
Authors:   Federación Nacional de Cafeteros de Colombia
Published: November 2024

Informe del Gerente al 88 Congreso Nacional de Cafeteros. Lema del Congreso: El café, la esperanza de Colombia.
TIME IN THE VIEW OF ISLAMIC EDUCATION (CRITICAL STUDY OF SURAT AL-ASHR)
Authors: Sugianto Relly , Hidayat Wahyu , Wasehudin Wasehudin
Published: November 2024

Time is one of the dimensions of human life. By seeing how important the value of time is and how great the blessings of Allah SWT are contained in it. The Qur'an has given great attention to time. Al-Qur'an surah al-Asr emphasizes and pays special attention to the value and essence of time as a warning. Allah SWT . The type of research used in this research is library research, namely research that only uses library collection materials without any field research. The results of the research from the letter Al-Asr: First, Al-Asr is a letter that contains the oath of Allah Ta'ala, that there is certainty that humans in totality will suffer losses for what they do. Second, the third verse contains instructions from Allah Ta'ala to avoid losses during his lifetime by: believing in Allah and doing good deeds, instructing each other to hold on to the truth, practicing obedience to Allah and being patient in it.
PENGARUH INTERAKSI SOSIAL TERHADAP MOTIVASI BELAJAR PESERTA DIDIK DALAM PEMBELAJARAN PAI
Authors: Syahrullah Syahrullah , Aji Saputra Andi , Kunaenih Kunaenih
Published: November 2024

Penelitian ini berkaitan dengan menurunnya motivasi belajar peserta didik sebab oleh faktor minimnya berinteraksi sosial ditambah proses interaksi sosial antara pendidik terhadap peserta didik yang kurang interaktif dan komunikatif saat pembelajaran luring mengakibatkan menurunnya motivasi belajar peserta didik. Tujuan penelitian ini adalah untuk menganalisis dan mengukur pengaruh interaksi sosial terhadap motivasi belajar peserta didik dalam pembelajaran PAI serta menganalisa strategi untuk meningkatkan motivasi belajar melalui interaksi sosial. Penelitian ini menggunakan pendekatan kuantitatif dengan metode deskriptif analisis korelasional dengan menggunakan instrumen kuesioner yang di sebar pada 41 sampel dari total 469 populasi kelas XII di SMK Negeri 26 Jakarta. Adapun instrumen kuesioner berjumlah 20 butir pernyataan positif dan negatif pada variabel X dan Variabel Y.
Penelitian ini menunjukan hasil bahwa terdapat pengaruh interaksi sosial terhadap motivasi belajar peserta didik, dilihat dari uji koefisien product moment menghasilkan “Rˣʸ” atau “R˳” sebesar 0,660, dan koefisien determinasi dengan nilai 0,436, hasil tersebut lebih besar dari “r˕” pada taraf signifikan 5% sebesar 0,308 dan taraf signifikan 1% sebesar 0,398. Dengan demikian hipotesis alternatif (Hₐ) diterima atau disetujui sedangkan hipotesis nihil (H˳) tidak diterima atau tidak di setujui. Hasil penelitian ini menunjukan bahwa terdapat korelasi yang kuat/tinggi dari pengaruh interaksi sosial terhadap motivasi belajar peserta didik dalam pembelajaran PAI dengan nilai 0,660 atau 66%.
EFEKTIVITAS PROGRAM PROYEK PENGUATAN PROFIL PELAJAR PANCASILA (P5) TERHADAP KREATIVITAS PESERTA DIDIK (STUDI SURVEY DI SMA PELITA TIGA JAKARTA)
Authors: Nadiah  , Dian Safitri Aminanti
Published: November 2024

The Pancasila Student Profile Strengthening (P5) Project Programme activities in each school are mandatory for students to participate in. With this P5 project activity, students can hone their psychomotor skills and increase creativity in learning. The purpose of the study is to understand the effectiveness of the P5 strategy on the creativity of Pelita Tiga Jakarta High School students. The research method uses quantitative correlation method. Simple random selection was used to draw a sample of 34 students. Data were obtained through interviews and observations and evaluated using product moment correlation technique. The results obtained 0.677 > 0.344 / 0.442 (sig level 5% or 1%). So it is concluded that the effectiveness of the Pancasila student profile project programme (P5) has an influence or impact to increase student creativity at SMA Pelita Tiga Jakarta
Characterization of the Blue Straggler Star Populations, through Statistical, Photometric, and Spectral Energy Distribution Analysis, in the Old Open Cluster: NGC 2243
Authors: Sheikh A. H. , Medhi Biman J.
Published: November 2024

We present a statistical, photometric, and spectral energy distribution (SED) analysis of the poorly studied old open cluster: NGC 2243, to characterize its blue straggler star (BSS) population. We applied ensemble-based unsupervised machine learning methods to estimate the membership probabilities using Gaia Data Release 3 (DR3) astrometric data. NGC 2243 is an open cluster that is 3.67 Gyr old with a metallicity of −0.375 dex, situated at a distance of 3.65 kpc. By analyzing the position of cluster members on the color–magnitude diagram using MIST isochrones, we have identified 12 potential BSSs in NGC 2243. We fitted the radial surface density profile and investigated the dynamical state and mass segregation effect of the cluster. It is found that the BSSs are significantly concentrated within the central region. We used data from Swift/UVOT, Gaia DR3, Pan-STARRS1 DR2, 2MASS, and WISE to fit the SEDs of the 12 identified BSSs using VOSA. We estimated the masses of the BSSs from the Hertzsprung–Russell diagram and found that they ranged from 1.25 to 2.22 M
☉. Consequently, we concluded that the BSSs likely gained 0.11–1.08 M
☉ through the mass transfer or merger channels. We discovered a hot companion associated with one BSS candidate, which has a temperature of 19,000 K, a luminosity of 0.55 L
☉, and a radius of 0.065 R
☉. The hot companion is probably a white dwarf, with its mass estimated to be approximately 0.18–0.20 M
☉ and an age of 186 Myr, suggesting it is a post-mass-transfer (Case A or Case B) system.
The Cosmic Ultraviolet Baryon Survey (CUBS). IX. The Enriched Circumgalactic and Intergalactic Medium Around Star-forming Field Dwarf Galaxies Traced by O vi Absorption
Authors: Mishra Nishant , Johnson Sean D. , Rudie Gwen C. , Chen Hsiao-Wen , Schaye Joop , Qu Zhijie , Zahedy Fakhri S. , Boettcher Erin T. , Cantalupo Sebastiano , Chen Mandy C. , Faucher-Giguére Claude-André , Greene Jenny E. , Li Jennifer I-Hsiu , Liu Zhuoqi (Will) , Lopez Sebastian , Petitjean Patrick
Published: November 2024

The shallow potential wells of star-forming dwarf galaxies make their surrounding circumgalactic and intergalactic medium (CGM/IGM) sensitive laboratories for studying the inflows and outflows thought to regulate galaxy evolution. We present new absorption-line measurements in quasar sight lines, probing within projected distances of <300 kpc from 91 star-forming field dwarf galaxies with a median stellar mass of

log

M
⋆

/

M
⊙

≈
8.3

at 0.077 < z < 0.73, from the Cosmic Ultraviolet Baryon Survey (CUBS). In this redshift range, the CUBS quasar spectra cover a suite of transitions including H i, low, and intermediate metal ions (e.g., C ii, Si ii, C iii, and Si iii), and highly ionized O vi. This CUBS-Dwarfs survey enables constraints with samples nine times larger than past dwarf CGM/IGM studies with similar ionic coverage. We find that low and intermediate ionization metal absorption is rare around dwarf galaxies, consistent with previous surveys of local dwarfs. In contrast, highly ionized O vi is commonly observed in sight lines that pass within the virial radius of a dwarf, and O vi detection rates are nonnegligible at projected distances of 1−2× the virial radius. Based on these measurements, we estimate that the O vi-bearing phase of the CGM/IGM accounts for a dominant share of the metal budget of dwarf galaxies. The absorption kinematics suggest that a relatively modest fraction of the O vi-bearing gas is formally unbound. Together, these results imply that low-mass systems at z ≲ 1 effectively retain a substantial fraction of their metals within the nearby CGM and IGM.
CME Arrival Time Prediction Based on Coronagraph Observations and Machine-learning Techniques
Authors: Li Yucong , Yang Yi , Shen Fang , Tang Bofeng , Lin Rongpei
Published: November 2024

The timely and precise prediction of the arrival time of coronal mass ejections (CMEs) is crucial in mitigating their potential adverse effects. In this study, we present a novel prediction method utilizing a deep-learning framework coupled with physical characteristics of CMEs and background solar wind. Time series images from synchronized solar white-light and EUV observations of 156 geoeffective CME events during 2000–2020 are collected for this study, according to the Richardson and Cane interplanetary CME directory and the SOHO/LASCO CME catalog of NASA/CDAW. The CME parameters are obtained from the CDAW website and the solar wind parameters are from OMNI2 website. The observational images are first fed into a convolutional neural network (CNN) to train a regression model as Model A. The results generated by the original CNN are then integrated with 11 selected physical parameters in additional neural network layers of Model B to improve the predictions. Under optimal configurations, Model A achieves a minimum mean absolute error (MAE) of 7.87 hr, whereas Model B yields a minimum MAE of 5.12 hr. During model training, we employed tenfold cross validation to reduce the occasionality of biased data. The average MAE of Model B on 10 folds is 33% lower than that of model A. The results demonstrate that combining the imaging observations with the physical properties of CMEs and background solar wind to train a machine-learning model can benefit the forecasting of CME arrival times.
Probing the Extended Atmospheres of AGB Stars. I. Synthetic Imaging of 1D Hydrodynamical Models at Radio and (Sub-)millimeter Wavelengths
Authors: Bojnordi Arbab Behzad , Vlemmings Wouter , Khouri Theo , Höfner Susanne
Published: November 2024

We investigate the observable characteristics of the extended atmospheres of asymptotic giant branch (AGB) stars across a wide range of radio and (sub-)millimeter wavelengths using state-of-the-art 1D dynamical atmosphere and wind models over one pulsation period. We also study the relationships between the observable features and model properties. We further study practical distance ranges for observable sources assuming the capabilities of current and upcoming observatories. We present time-variable, frequency-dependent profiles of pulsating AGB stars’ atmospheres, illustrating observable features in resolved and unresolved observations, including disk brightness temperature, photosphere radius, and resolved and unresolved spectral indices. Notably, temporal variations in disk brightness temperature closely mirror the temperature variability of the stellar atmosphere. We find that while the photospheric radius decreases due to gas dilution in the layers between consecutive shocks, the increase in the observed stellar radius reflects shock propagation through the atmosphere during the expansion phase, providing a direct measurement method for the shock velocity. Furthermore, our models indicate that enhanced gas temperatures after the passage of a strong shock might be observable in the high-frequency Atacama Large Millimeter/submillimeter Array (ALMA) bands as a decrease in the brightness temperature with increasing frequency. We demonstrate that synthetic observations based on state-of-the-art dynamical atmosphere and wind models are necessary for proper interpretations of current (ALMA and Very Large Array (VLA)) and future (Square Kilometre Array and next-generation VLA) observations and that multiwavelength observations of AGB stars are crucial for empirical studies of their extended atmospheres.