bluuebunny/crossref_metadata_2025 huggingface dataset:
Edukasi Pemanfaatan Tanaman Herbal untuk Mengatasi Hipertensi dan Kolestrol di Desa Sungai Tandipah RT 2 Kabupaten Banjar
Authors: Hakim Ali , Yati Eka , Esnaeni Fitri , Priadi Ota , Larasaty Ranita , Putri Trias
Published: November 2024

Tanaman herbal memiliki manfaat dalam pengobatan dan pencegahan berbagai jenis penyakit Dengan memanfaatkan tanaman herbal, individu dan masyarakat dapat menjaga kesehatan mereka dengan lebih baik. Hipertensi merupakan kondisi tekanan darah yang meningkat sehingga dapat memberikan dampak serius pada organ-organ vital, seperti stroke dan penyakit jantung koroner, terutama pada pembuluh darah dan otot jantung. Penyakit jantung koroner berkaitan erat dengan penumpukan kolesterol yang berlebihan di dalam arteri. Salah satu pendekatan yang dapat diimplementasikan adalah melalui edukasi tentang pemanfaatan tanaman herbal yang tumbuh di sekitar masyarakatMetode penelitian ini adalah deskriptif dengan pendekatan kuantitatif. Program ini bertujuan untuk memberikan edukasi tentang kesehatan, khususnya mengenai pemanfaatan tanaman herbal dalam pencegahan hipertensi dan kolesterol. Sebanyak 50 warga pra-lansia dan lansia dari Desa Sungai Tandipah RT.2 berpartisipasi dalam kegiatan ini. Materi edukasi disampaikan oleh mahasiswa dari program studi Profesi Apoteker Universitas Sari Mulia Banjarmasin, yang dilengkapi dengan pembagian leaflet yang memberikan informasi tentang cara mengatasi hipertensi dan kolesterol menggunakan tanaman herbal. Secara keseluruhan, kegiatan ini berjalan dengan efektif dan efisien, memberikan dampak positif bagi peserta, serta meningkatkan kesadaran mereka tentang pentingnya penggunaan tanaman herbal dalam menjaga kesehatan.Acara pengabdian masyarakat ini dilaksanakan dengan sukses dan menerima sambutan positif dari warga pra-lansia dan lansia di Desa Sungai Tandipah RT.2, Kabupaten Banjar, Kalimantan Selatan. Masyarakat menunjukkan antusiasme tinggi dalam berpartisipasi, terlihat dari banyaknya pertanyaan yang diajukan mengenai materi yang disampaikan. Kegiatan ini berhasil meningkatkan pemahaman mereka tentang hipertensi dan kolesterol, serta metode pencegahan yang dapat dilakukan melalui penggunaan tanaman herbal. Para peserta bahkan dapat menjawab pertanyaan dengan akurat, menunjukkan pemahaman yang baik.
Establishing Reference Values for Peak Expiratory Flow in the Peruvian Population from Primary Care: Contributing to SDG 3
Authors: Chero-Pisfil Santos Lucio , Díaz-Mau Aimeé Yajaira , Quispe-Nina Jhosely , Infantes-Bracamonte Gustavo Raymundo , Suaña-Apaza Clelia Patricia , Rosas-Sudario Milagros Nohely
Published: November 2024

Objective: This study aimed to determine the Peak Expiratory Flow (PEF) values in the Peruvian population of Metropolitan Lima, identify flowmetry values by age groups from 20 to 60 years, and assess the impact of COVID-19 on individuals who did not contract the disease.
 
Method: A descriptive, cross-sectional study was conducted with 316 participants (50.3% males, 49.7% females) aged 20–60 years. All were hemodynamically stable without limiting cardiac or pulmonary pathologies. PEF was measured using the Mini-Wright Peak Flow Meter following standardized procedures. Data were analyzed using descriptive statistics, Wilcoxon signed-rank test, and Chi-square tests, considering p < 0.05 as statistically significant.
 
Results and Discussion: The mean PEF was 542.09 ± 87.44 L/min. Males had significantly higher PEF values than females (575.66 ± 74.87 L/min vs. 508.09 ± 86.32 L/min, p = 0.004). PEF values decreased with advancing age in both sexes. Participants engaging in regular physical activity showed higher PEF values, though not statistically significant. Individuals without a history of COVID-19 had higher PEF values compared to those who recovered from the virus, suggesting potential long-term effects on lung function.
 
Research Implications: Establishing PEF reference values specific to the Peruvian population enhances healthcare professionals' ability to identify individuals at risk of respiratory impairment. The findings support the use of PEF measurement as a practical tool in primary care for early detection and monitoring of respiratory diseases.
 
Originality/Value: This study provides valuable data on PEF values in a Peruvian cohort, addressing a gap in the literature regarding population-specific reference values. By highlighting the influence of age, sex, physical activity, and COVID-19 on PEF, it contributes to improved respiratory health assessment and management in Peru.
Towards SDG Sustainable Halal Tourism Development: Integration of Sustainability and Religious Morality
Authors: Setiawan Firman , Qadariyah Lailatul , Nahidloh Shofiyun , Dzikrulloh  , Holis  , Jumanto Jumanto
Published: November 2024

Objectives: This study aims to identify the factors that shape sustainable halal tourism, taking into accounts sustainability and religious morality as the main variables, thus as part of the world endeavours to encourage the Sustainable Cities and Communities.
 
Theoretical Framework: Sustainable halal tourism integrates Islamic values with the principles of economic, environmental, and social sustainability. This concept aims for equitable economic growth, sustainable environmental management, and the preservation of social and cultural values in tourism development, while adhering to religious morality.
 
Method: This study is quantitative research using the SEM-PLS method. Data were collected through a questionnaire with a Likert scale and were analysed by using the SmartPLS software. This research was conducted at Asta Tinggi Sumenep, East Java, Indonesia.
 
Results and Discussion: The results of the study showed that four variables, i.e. religious morality, economy, environment, and social aspects contributed positively and significantly in shaping sustainable halal tourism. This means that these four variables are a complete concept and cannot be separated in the development of sustainable halal tourism.
 
Research Implications: Theoretically, this study revises the idea that sustainability is limited to only three aspects as the concept of triple bottom line in the tourism industry.  Empirically, the results of the research encourage the development of sustainable halal tourism through an integrated approach that considers religious morality, social, economic, and environmental aspects in a balanced manner.
 
Originality/Value: This research is expected to make a significant contribution to developing halal tourism that is not only economically beneficial but also environmentally friendly and socially just in line with moral values and religious teachings, which is also encouraging the sustainable cities and communities as one of the United Nations’ 17 Sustainable Development Goals (SDGs).
Penyelesaian Hukum Terhadap Nasabah Lembaga Keuangan Bukan Bank Yang Terdampak Pandemi Covid-19
Authors: Waremra Merlin Clara , Berlianty Teng , Pariela Marselo Valentino Geovani
Published: November 2024

Introduction: Bunas Finance Indonesia (BFI) is a company that serves loans with vehicle and house certificate guarantees, therefore Bunas Finance Indonesia (BFI) provides credit to customers with a period ranging from 12 months to 48 months or depending on the loan product chosen by the customer, if the customer experiences a delay in payment, a fine of 0.5% or 0.3% per day of the loan made. However, currently the world has been hit by an Extraordinary Event in the form of the Covid-19 pandemic caused by the SARS-CoV-2 virus which infected the first individual in Wuhan and then spread to all corners of the world, including IndonesiaPurposes of the Research: This study aims to determine and explain the effect of the Covid-19 pandemic on Bunas Finance Indonesia (BFI) customers in carrying out payment obligations. To find out and explain legal settlements for customers of Bunas Finance Indonesia (BFI) as a non-bank financial institution affected by the Covid-19 pandemicMethods of the Research: This research is legal research. This research is normative legal research or library law research where it is in the form of legal theory, studied data, laws and regulations, and court decisions.Results of the Research: From the results of the research, companies that provide Bunas Finance Indonesia (BFI) can be held accountable for defaulting on customers in financial settlements so that customers can get the vehicles they own.
Inserção Social e Internacionalização da Formação de Professores do Nordeste:
Authors: Pontes Junior José Airton de Freitas , Abreu Mariana Cristina Alves de
Published: November 2024

O estudo tem por objetivo compreender os impactos e perspectivas das produções do Nordeste na área Formação de professores relacionados à inserção social e à internacionalização no contexto de resistência. Por meio de uma revisão do tipo mista com ênfase em formato integrativa, tivemos 196 trabalhos selecionados das bases Scielo, Dissertações e Teses e dos Anais de Eventos da ANPED e EPEN. Os resultados indicam que a área de Formação de Professores no Nordeste tem grande número de trabalhos na Dimensão Inserção Social, mas apenas 2,5% na Dimensão Internacionalização. Os subtemas Formação Inicial e Continuada apresentaram muitas produções da área da Licenciatura e se identificaram vários trabalhos da área da saúde também.
Fundos Municipais dos Direitos da Criança e do Adolescentes em Números - um Panorama da Situação do Brasil, no Ceará e em 36 Municípios mais Vulneráveis
Authors: Pimenta Silveira Francisco Paulo , De Morais Bezerra Neiara
Published: November 2024

Fundos especiais são produtos de receitas especificadas que, por lei, se vinculam à realização de determinados objetivos ou serviços, facultados a adoção de normas peculiares de aplicação. A presente pesquisa investiga a utilização de um desses fundos, o Fundo Municipal dos Direitos de Criança e do Adolescente (FMDCA). Apontados pelo Estatuto da Criança e do Adolescente como uma das diretrizes da política de atendimento, os fundos representam uma importante fonte de recursos para a implementação de políticas públicas que visem a garantir os direitos dessa parcela da população. No entanto, mesmo com a possibilidade de doação direta no momento da declaração do imposto de renda de pessoas físicas e jurídicas, a utilização dos fundos segue muito aquém do esperado em todo o Brasil. O objetivo da pesquisa foi conhecer o potencial de arrecadação desperdiçado nos 36 municípios cearenses mais pobres e, principalmente, identificar as razões que levam à baixa captação e utilização dos recursos. A demarcação temporal da pesquisa compreendeu os exercícios fiscais de 2012 a 2020, e como fonte para a coleta de dados foram utilizadas as Notas Técnicas FMDCA da Receita Federal do Brasil no período.
Effect of information and communication technology (ICT) literacy skills on information seeking behaviour of LIS undergraduates in Southwestern Nigeria
Authors: Nwachukwu Ruth Ngozi , Babarinde Bilikis Adefunke
Published: November 2024

Information seeking behavior is considered very important as it entails how people interact with information, in particular, the ways in which they seek and utilise information. Studies have however shown that some people including students do not seek information appropriately. Several factors, one of which include information and communication technology (ICT) literacy skills, have been suggested to be responsible for this. This study therefore examined the effect of Information and Communication Technology (ICT) literacy skills on information seeking behaviour of Library and Information Science (LIS) undergraduates in Southwestern Nigeria. The descriptive survey research design of the correlational type was adopted for this study. The population consisted of 463 LIS undergraduates in three universities in Southwestern Nigeria. Stratified random sampling technique was used to arrive at the sample size of 277. Data was collected with the aid of questionnaire. Descriptive statistics such as percentages, mean and standard deviation and inferential statistics such as Pearson Product Moment Correlation and multiple regression analysis were used in presenting the data. The findings of the study revealed that the level of ICT literacy skills of the LIS undergraduates in Southwestern Nigeria is high ( ̅ ). The most prominent information sources used by the respondents were online databases ( ̅ . Majority of the LIS undergraduates sought information to be outstanding academically ( ̅ . Most of the respondentsaccessed the needed information on the Internet through their smart phones ( ̅ . The major factor affecting information seeking by majority of the respondents was slow internet connectivity ( ̅ . The study also revealed that there is a significant positive relationship between ICT literacy skills and information seeking behaviour (r = .432**; df = 248; p< 0.05). The study concluded that ICT literacy skills is critical to information seeking behaviour in this digital era, and therefore recommended that the level of ICT literacy skills of the students should be strengthened through continuous organisation of workshops to build their capacity in ICT literacy.
The Silent Language of Dakwah: Exploring Non-Verbal Elements in Badiuzzaman Said Nursi’s Preaching
Authors: Noor Muaz Mohd , Suyurno S. Salahudin , Meerangani Khairul Azhar
Published: November 2024

In Islamic dakwah, the spoken message is essential, but the unspoken elements, what can be called the “silent language” are just as important in conveying meaning and influencing audiences. This study aims to explore Badiuzzaman Said Nursi’s mastery of non-verbal communication, focusing on three key elements: chronemic, paralinguistic, and artifactual communication, and how these elements enhance the effectiveness of his dakwah. Using a qualitative content analysis method, the study examines primary sources, such as Badiuzzaman Said Nursi’s Rasail an-Nur, alongside secondary sources, including seminar reports and studies on Islamic communication. The results show that Badiuzzaman Said Nursi’s use of silent language significantly contributed to his success in conveying complex spiritual messages and resonating with diverse audiences. This research offers practical insights into how modern-day preachers can employ these non-verbal strategies to increase their impact, particularly in multicultural societies like Malaysia.
War Amongst ESG Ratings in China: A Battle of Stock Return Predictability
Authors: Liu Xu , Xiao Xinrong , Shen Siyan , Xu Zhiyu
Published: November 2024

Existing literature on the stock return predictability of ESG ratings in the Chinese A-share market presents conflicting conclusions, primarily due to divergent sources of ESG ratings and variations in sample selection. We are the first to conduct comparative analyses on ESG ratings from all mainstream agencies using the largest available sample and the longest time window. After considering the real impact of transaction costs, ESG ratings provided by three vendors demonstrate a significant positive correlation with stock future returns. Heterogeneity analyses based on firm market capitalization indicate that Sino ESG ratings stand out among various ratings, demonstrating robust and significant positive predictive power under various conditions. Furthermore, we reexamine asset return anomalies from the perspective of the first moment of ESG ratings. Mean-Variance spanning tests also suggest positive factor premiums. The conclusions offer valuable reference for subsequent research on the role of ESG ratings in the Chinese capital market, providing practical guidance for asset managers implementing ESG investment principles to optimize portfolio construction.
 
Received: 18 February 2024 | Revised: 27 August 2024 | Accepted: 20 October 2024
 
Conflicts of Interest 
The authors declare that they have no conflicts of interest to this work.
 
Data Availability Statement 
Data available on request from the corresponding author upon reasonable request.
 
Author Contribution Statement
Xu Liu: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Xinrong Xiao: Conceptualization, Methodology, Resources, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration. Siyan Shen: Conceptualization, Methodology, Validation, Resources, Writing - review & editing. Zhiyu Xu: Conceptualization, Validation, Formal analysis, Investigation, Resources, Writing - review & editing, Visualization.
Understanding University Students' Perceptions and Attitudes towards Low Carbon Initiatives in the Context of Climate Change: A Malaysian Perspective
Authors: Ahmad Shukri Aiman Muqri , Hayrol Aziz Farah Syazwani , Ismail Masran Mohamad , Fasihah Harun Siti Nur , Mohamed Johar Hadzirah Kursiah
Published: November 2024

Climate change has a wide range of impacts on various aspects of human life and the environment. The main driver of climate change is caused by increases in greenhouse gases due to anthropogenic activities. Some of those activities that contribute to these issues come from lack of awareness to practice a low-carbon lifestyle. Therefore, by using a conventional survey, a study has been conducted regarding the level of environmental awareness and the adoption of low-carbon practices among 225 private university college students in southern part of Malaysia. By becoming aware of the essential role that the younger generations play in shaping the future, it is important to know the current state of environmental awareness among university college students and suggest an effective strategy for them to enhance their commitment to promote and practice low carbon lifestyle. Hence, by referring to existing literature, survey data, and successful case studies, this paper aims to contribute to the growing body of knowledge on sustainable behavior and uplift the universities to play a crucial role in fostering environmentally responsible citizens.
Can Artificial Intelligence Dominate and Control Human Beings?
Authors: Awashreh Raed , Ramachandran Bremananth
Published: November 2024

This paper delves into the evolving landscape of Artificial Intelligence (AI) and its implications for humanity, particularly concerning the potential for AI to dominate and control human beings. Drawing upon a wide array of perspectives from philosophy, ethics, psychology, and technology, this research offers a comprehensive analysis of the intricate dynamics between AI and human agency. Through synthesizing insights from multidisciplinary viewpoints, the paper contributes to the ongoing discourse surrounding AI's impact on society. While acknowledging AI's capacity for transformation, it emphasizes the necessity of proactive ethical considerations and regulatory measures to mitigate potential risks and preserve human autonomy. Key findings underscore AI's transformative potential while highlighting the ethical imperative of upholding human values. The paper addresses concerns regarding AI dominance, including economic disparities, political manipulation, and social injustices. Looking ahead, it emphasizes the importance of collaborative efforts across sectors to shape the future trajectory of AI-human interactions. Policy recommendations advocate for robust regulatory frameworks that prioritize human rights and transparency in AI development. Ethical guidelines are proposed to inform technological design, ensuring alignment with human interests. Future research directions emphasize the need for interdisciplinary collaboration to explore AI's societal impact and develop responsible development practices. In conclusion, the paper emphasizes collective engagement, ethical leadership, and a commitment to human-centered values in navigating the complexities of AI dominance. By fostering inclusive governance and responsible development, society can harness AI's potential while safeguarding individual rights and dignity.
Impact, Challenges, and Prospects of Networking on Social Entrepreneurship in Pakistan
Authors: Ismail Shahzad
Published: November 2024

Social entrepreneurship plays a pivotal role in addressing societal challenges and promoting sustainable development, particularly in Pakistan, where it holds significant potential for economic empowerment, social protection, poverty alleviation, and economic growth. Despite this potential, the full impact of social entrepreneurship is often limited by a lack of understanding and inadequate networking. This study examines the challenges that social entrepreneurs in Rawalpindi, the third largest city in Punjab province, and Islamabad, Pakistan's capital, face in establishing effective networks and how these challenges affect their contribution to sustainable development. A quantitative research approach was employed, with data gathered from 100 social entrepreneurs selected via snowball sampling. The data, collected through a self-administered questionnaire, was analyzed using Statistical Package for the Social Sciences (SPSS) to evaluate reliability and explore statistically significant relationships through chi-square tests. The findings indicate that various networking challenges, such as insufficient partnerships with fellow social entrepreneurs, weak connections with corporate organizations, limited engagement with government bodies, inadequate international collaboration and mentorship, and underutilization of social networking platforms, significantly hinder social entrepreneurial activities. This research offers valuable insights into the specific networking barriers that impede the effectiveness of social entrepreneurs in Pakistan, providing a foundation for stakeholders to develop targeted interventions that enhance the role of social entrepreneurship in advancing sustainable development.
Motivation through solidarity
Authors: Mogli Marina
Published: November 2024

The aim of this study is to describe and discuss the unique motivational characteristics of adult immigrants and refugees learning Greek as a second language, characteristics related to the concept of investment in second language learning, based on the results of a qualitative study carried out in non-formal educational settings. Seventeen (17) participants attending Greek lessons in non-formal educational settings in Athens, Greece, were interviewed through semi-structured interviews. The data obtained was analysed using thematic analysis. The students were asked about the reasons they are learning Greek and what motivates them to invest in studying the language. The results of the thematic analysis show that the main motives driving the participants to invest in learning Greek in the research settings were threefold: instrumental, integrative, and related to the L2 learning environment. Learning Greek was considered as a chance that could lead to greater job opportunities, empowerment, and greater integration into the host society. Additionally, the results highlight the fact that the atmosphere in the specific educational settings being very friendly and relaxed was very important for the participants and enhanced their desire to invest in learning Greek in the specific settings. Finally, the social aspect was also significant for the immigrants and refugees, who considered participation in the classes as a means of greater socialisation with both locals and other immigrants. The study highlights that non-formal settings are better suited to migrants/refugees’ learning needs and can promote the social inclusion of vulnerable groups and their integration into the host society.
Pemanfaatan Virtual Tour Wisata Untuk Mendukung Digital Tourism Kota Gresik
Authors: Ardianto Luken , Falani Achmad Zakki
Published: November 2024

Pariwisata merupakan salah satu faktor yang sangat berpengaruh dalam usaha meningkatkan pendapatan, oleh karena itu penyebar luasan informasi dan pengenalan mengenai lokasi wisata sangat diperlukan, supaya calon wisatawan lebih banyak mengenal tempat-tempat untuk berwisata. Untuk mengenalkan lokasi wisata yakni membutuhkan suatu media seperti virtual tour. Virtual Tour adalah sebuah simulasi dari sebuah lokasi dengan sudut pandang 360 derajat yang terdiri dari rentetan gambar yang telah digabungkan (stitching). Untuk menghasilkan sebuah virtual tour ini menggunakan software pendukung yang dilengkapi dengan berbagai bahasa pemrograman supaya proses pengeditan dapat menghasilkan gambar panorama yang lebih sempurna. Tujuan pembuatan virtual tour adalah untuk memperkenalkan suatu lokasi wisata agar calon wisatawan dapat mengenal lokasi wisata tersebut dan dapat dijadikan sebagai acuan untuk menentukan destinasi wisata.
An Analytical Study on Government Role in Organ Transplantation
Authors: Vigneshwaran Vijayan
Published: November 2024

Organ Donation Day is observed each year on the thirteenth of August. Because of the absence of mindfulness, there are fantasies and fears in peoples minds about organ gift. The point of this day is to spur typical individuals to promise to give organs after death, and to spread mindfulness about the significance of organ donation. Organ Donation is giving a giver's organs like heart, liver, kidneys, digestive tracts, lungs, and pancreas, after the benefactor kicks the bucket, to transplant them into someone else who needs an organ. Organ gift is characterized as "When an individual permits an organ of theirs to be evacuated, lawfully, either by assent while the benefactor is alive or after death with the consent of the following of the family." Common transplants after organ gifts incorporate kidney, heart, liver, pancreas, digestive organs, lungs, bones, bone marrow, skin, and cornea. Albeit a few organs, for example, kidney and tissues like a piece of the liver, pancreas, lungs, and digestive tracts can be given while the giver is alive, the vast majority of the gifts happen simply after the benefactor's passing. In India, the administrative establishment for mind demise and organ gift was formally settled, under Transplantation of Human Organs Act, 1994 changed in 2011. It gave a genuinely necessary legitimate and straightforward framework for organ gift. Safeguarding of human life is of foremost significance. 'Right to life' under article 21 of the Indian Constitution has been translated as not unimportant physical presence but rather likewise the personal satisfaction in its greatest playfulness including the 'right to wellbeing'. Also, 'right to wellbeing' of individuals experiencing end-stage organ disappointment is by and large considerably improved through organ transplant innovation. The Transplantation of Human Organs and Tissues Act, 1994 can possibly enhance the situation of such individuals by directing organ transplants in India
A Study on Housing Price Prediction: Determinants and Effects
Authors: Rajeshwari  , Dr. Manjunath N
Published: November 2024

This study explores key factors that influence housing prices and assesses their impact on property valuation. By analysing a range of attributes such as area, number of bedrooms and bathrooms, stories, presence of air conditioning, basement, parking, and proximity to preferred areas the project aims to build predictive models for accurate pricing. The study uses sample of 500 house prices from Kaggle datasets and makes use of statistical and machine learning techniques, including multiple regression analysis, this research identifies significant predictors and quantifies their effect on house prices. The study provides insights into how property features offers useful information for buyers, sellers, and real estate professionals.
Design Science Research: Um Estudo sobre o Ensino do Método
Authors: Sposito Lincoln , Enobe Elisabete Casimira , Lima Alexsandra Aparecida de , Lima Edmilson de Oliveira
Published: November 2024

A Design Science Research (DSR) é um método que desperta interesse crescente por auxiliar pessoas e organizações na otimização de resultados de seus esforços, sendo particularmente atraente para o desenvolvimento tecnológico e de pesquisas com caráter aplicado. A DSR consiste em um método de múltiplas abordagens, usando uma teoria de design coerente para a legitimidade da criação de conhecimento e para fornecer soluções de problemas da vida real. O objetivo deste artigo é de identificar e discutir as principais razões e benefícios de se ensinar DSR a pós-graduandos segundo a perspectiva dos professores. Este estudo adota uma abordagem qualitativa e usa como principal método o estudo de caso único. A unidade de análise é a disciplina aplicada de DSR em programas de mestrado e doutorado em Administração, Empreendedorismo e Gestão de Projetos. As fontes variadas de dados utilizadas, favoráveis à triangulação para validação deles, foram entrevistas semiestruturadas e trabalhos e atividades dos alunos e professores que participaram da disciplina nos anos de 2019 e 2020. Os dados vieram principalmente de entrevistas semiestruturadas feitas com os referidos informantes e de trabalhos escritos feitos pelos alunos. A análise deles levou a resultados que atendem ao objetivo de pesquisa pondo em destaque benefícios, modos de uso, contribuições e a importância do ensino da DSR.
Veštačka inteligencija i problem autorstva
Authors: Savčić Sanja
Published: November 2024

The use of computer programs in human intellectual work has attracted the attention of lawyers in the field of copyright since the very beginning. Even though to this day not all discussions regarding the role of a computer program in the creation of an author’s work have been resolved, it is an indisputable fact that a computer or a computer program in the process of creating a mental creation is nothing more than a tool for work, i.e., a mean of expressing the intellectual sphere of human being. Unlike previous forms of computer technology, artificial intelligence is capable of autonomously selecting, systematizing, and generating new content within a database (which can be quite large). Bearing in mind the representation of creations of artificial intelligence systems on the market of cultural, artistic, entertainment and similar content, which is traditionally protected by copyright protection, the question of the copyright framework for the use of such creations is of particular importance. The problem of authorship is posed as an initial one. In the copyright sense of the word, the author as the subject of copyright has numerous rights (of a moral and economic nature) by the exercise of which he achieves a financial benefit, that is, he protects his personal and property interests in connection with his intellectual creation. On the other hand, for users of the creative or entertainment content, the question of the subject of the right is relevant to determine the person whose consent is required if an action covered by exclusive right is undertaken, if such content would be subject to copyright (or some other) protection. In the context of copyright, the analysis starts from the key question of whether the creation of artificial intelligence is a work of authorship, based on which copyright arises, and only then, if the answer is affirmative, who is the subject of copyright. In this regard, our research should answer an essential question: does the existing framework of copyright protection include creations created using artificial intelligence systems?
Umjetna inteligencija i mediji: The New York Times Company protiv kompanija OpenAI i Microsoft
Authors: Mešević Razija
Published: November 2024

The paper examines the first lawsuit filed by a media organization against representatives of the AI industry, namely the New York Times Company against OpenAI and Microsoft. The key issue in the background of this dispute is the training models of generative artificial intelligence without prior authorization or paying remuneration on the works protected by copyright that belong to media publishers. Furthermore, the plaintiff voiced claims that the AI products (e.g. ChatGPT) based on these models produce synthetic outputs that almost completely or to a large extent reproduce those works or represent their derivatives. The paper defines the basic concepts and categories essential for understanding the technology at the heart of the dispute (eg, generative artificial intelligence, fundamental models and large language models). In addition, it addresses the possible safe harbours for AI-developers in this context. Firstly, in the European Union, in terms of the text and data mining exception from Directive (EU) 2019/790, which is strongly backed by the text of the EU AI Regulation. Secondly, in the United States of America, in terms of applying the legal doctrine of „fair use“, especially in the sense of the transformative use of works. The author elaborates in detail the circumstances of the origin and the content of the dispute and looks at parallel cases in the domain of relationship between copyright and artificial intelligence, which could provide some guidance regarding the direction of the outcome of the NYTC– case. In addition, the paper draws attention to positive examples of OpenAI concluding agreements and even creating partnerships with large media organizations (e.g. Associated Press, Le Monde or News Corp) regarding the use of their content in GPT-model training, as well as in the context of technological cooperation.
Uloga veštačke inteligencije u međunarodnoj trgovinskoj arbitraži
Authors: Jovanović Marko
Published: November 2024

Artificial intelligence has already made its way into many fields of social life. It is undoubtedly already present in international commercial arbitration as well. Some AI systems of general application, such as ChatGPT and Siri, may perform certain tasks that could be used in the field of international commercial arbitration. In addition, specialized software, intended specifically for use in the field of alternative dispute resolution, is being developed almost on daily basis. For the time being, the key tasks that can already be entrusted to artificial intelligence are legal research, facilitation of some stages of the proceedings and production and presentation of evidence. However, considerable efforts are invested into examining and creating the possibilities for using artificial intelligence as an independent decision-maker in some specific types of proceedings, a facilitator of some non-adjudicative ADR methods (e.g. negotiations aimed at reaching the settlement) or even a digital counsel (e.g. the DoNotPay system). This paper will present and analyze the current state of use of artificial intelligence in international commercial arbitration, explore the potential for its wider use and offer one of the possible visions of the future of artificial intelligence in international commercial arbitration.
Marketing y discapacidad sensorial: accesibilidad en productos y publicidades
Authors: Finocchiaro Franco
Published: November 2024

La participación del consumidor en el desarrollo de productos y servicios ha ido en aumento. Esto ha dado lugar al consumidor responsable, entendido como aquel que incluye en sus decisiones de compra el análisis de las prácticas sociales que la empresa aplica. Por otro lado, el marketing sensorial, como campo joven dentro del marketing, busca captar la atención del consumidor a partir de los sentidos. Las preguntas que motivan este trabajo entonces son: ¿cómo se aplica este concepto a casos en los que el consumidor tiene alguna discapacidad sensorial? ¿Qué productos desarrollan las empresas para que las personas con discapacidad sensorial puedan acceder a los mismos como lo hacen los consumidores hegemónicos? ¿Cómo los presentan o publicitan en las redes sociales? En función de lo enunciado, el objetivo general del presente es identificar avances en los productos y las publicidades para que personas con discapacidad sensorial puedan acceder a los mismos. Para ello, se toman por caso algunos productos cuyo principal atributo de interés está vinculado con una de las aristas del marketing sensorial. Se realiza un análisis de contenido de los anuncios y, posteriormente, un análisis de audiencia que pretende interpretar los aspectos favorables y críticos que los usuarios les dejan a las empresas. Se puede ver que se valoran las iniciativas de producto y se recomienda la imitación por parte de otras marcas, aunque aun se señala la falta de articulación con otras aristas del marketing mix, como la publicidad, la distribución y el precio.
Ecological and biological features of the cultivation of shrubby introduced plants in the conditions of the Central Chernozem region
Authors:   Voronezh State Forestry Engineering University named after G.F. Morozov, Moiseeva Evgeniya , Kramareva Tatyana
Published: November 2024

The article presents the results of research to identify the optimal method of mulching with recycled wood waste for the successful cultivation of shrubby introduced plants growing in the Central Chernozem region in conditions of unstable moisture. The results of the research have shown that in order to maintain a high level of soil moisture, the optimal way of mulching for shrubby introducers of the Central Chernozem region is to apply mulch from recycled wood waste to a depth of 5-10 cm into the previously loosened ground. If it is impossible to loosen the soil, a method of applying mulch to the soil surface can be used. The introduction of mulch from recycled wood waste in the territory of the introduced species is the optimal way of mulching to maintain a high level of soil moisture. Keywords: INTRODUCED PLANTS, SHRUBBY PLANTS, SOIL MOISTURE, WOOD WASTE, MULCHING, CENTRAL CHERNOZEM REGION
OS COOBRIGADOS NA RECUPERAÇÃO JUDICIAL
Authors: Ottani Gonçalves Giulia
Published: November 2024

O presente artigo aborda posicionamentos sobre as obrigações dos coobrigados, fiadores e avalistas no âmbito do processo de recuperação judicial, evidenciando as suas divergências, bem como a necessidade de pacificar um entendimento a fim de garantir segurança jurídica às partes envolvidas. Destacando-se, ainda, implicações que podem ocorrer no processo recuperacional em razão da sujeição ou não dos coobrigados aos efeitos da recuperação judicial, tendo em vista que pode impactar no procedimento de soerguimento do próprio devedor. O artigo utiliza, principalmente, fontes bibliográficas, como livros e legislações, mas também possui respaldo em julgados dos Tribunais de Justiça do território nacional brasileiro, de modo que foi utilizado o método de pesquisa bibliográfica.
Decrease of Consciousness Due to Severe Hypokalemia: A Case Report
Authors: Herwanto Eko Setyo , Hidayat Dzaky Ramadhan
Published: November 2024

Severe electrolyte imbalances can present with a wide range of clinical manifestations, and hypokalemia, or low levels of potassium in the blood, is one such condition that can have profound effects on the human body. Hypokalemia can directly impact the brain’s function, leading to a range of neurological manifestations. This electrolyte imbalance can have severe and life-threatening consequences, including the development of coma. This case report aims to identify whether the decrease of consciousness in patients is related to the condition of severe hypokalemia.
Performance of Production Characteristics of Grower Phase KUB Chickens Fed with Feed Containing Fermented Cow Feces
Authors: Telupere Franky M.S. , Lole Ulrikus R. , Mulyantini N.G.A.
Published: November 2024

The purpose of this study was to investigate the effect of fermented cow feces [FCF] in ration on the growth characteristics of KUB native chicken during the grower phase. This study used 100 DOC KUB chickens. The feed given during the grower phase was commercial feed for native chicken 592 mixed with FCF. Feed and drinking water are provided ad libitum. The experimental design used was a Completely Randomized Design with 4 treatments and 5 replications each. Each replication consisted of 5 chicks. The treatments tested were: R0 = basal ration + 0% FCF as a control; R1 = 90% basal ration + 10% FCF; R2 = 80% basal ration + 20% FCF; R3 = 70% basal ration + 30% FCF. Variables measured were body weight, weight gain, feed consumption, and feed conversion. The result showed that the use of FCF in rations affects the performance of production traits of KUB chickens in the grower phase, i.e., tends to decrease the performance of production traits such as body weight and weight gain, increase feed consumption, and enlarge the feed conversion rate. The use of FCF up to a level of 10% can produce fairly good performance.
Correlation between Sleep Patterns, Weight, and Height Among Indonesian Female Boarding School Students
Authors: Rochmah Nur , Faizah Zakiyatul , Hisbiyah Yuni , Perwitasari Rayi Kurnia , Wairooy Nabilah Azzah Putri , Ardi Dinar , Faizi Muhammad
Published: November 2024

Background: Sleep is essential for growth, development, and health, with inadequate sleep linked to risks such as obesity, hypertension, and mood disorders. Sleep patterns differ by sex, with females often experiencing poorer quality and greater susceptibility to disturbances due to factors like the menstrual cycle. Adolescents, particularly boarding students, face unique sleep challenges from academic and extracurricular demands, potentially impacting growth. This study is aimed at studying the relationship between sleep patterns and height within Indonesian female boarding school students to understand the influence of sleep on their physical development. Methods: This cross-sectional study was performed in a boarding school in East Java, enrolling female students aged 13-17 years. Height and weight were assessed with standard anthropometric techniques. The BMI was computed and categorized according to age-specific percentiles. An online form collected data on bedtime, wake-up time, and sleep duration. SPSS was used for data analysis and Pearson’s correlation to explore relationships between sleep patterns and height. Result: This study included 127 female students with a mean BMI of 20.9±3.31. Mean height and weight were 154.57±5.45 and 50,08±9.38, respectively. 76% of subjects had an average of 5–5.5 hours of sleep per day. There was no significant relationship between the two (Pearson correlation=-0.009; Sig. 2-tailed=0.0923). There was a slight tendency that less sleep was associated with a slight decrease in height, but very weak and not significant (Pearson correlation = -0.090; Sig. 2-tailed = 0.313). Conclusion: Although females in boarding schools experience reduced sleep duration, they maintain normal weight and height.
Design of A PFR For the Production of 1,000,000 Tons Per Year of Ethyl Acetate from Esterification of Acetic Acid and Ethyl Alcohol
Authors: Wosu Chimene Omeke
Published: November 2024

The research considered the design or size of a plug flow reactor for the production of 1,000,000 tons of ethyl acetate per year from the esterification of acetic acid and ethyl alcohol in the presence of an acid catalyst. The PFR design models for volume, height, diameter, space time, space velocity, quantity of heat generated, quantity of heat generated per unit volume of the reactor as well as the temperature effect models were developed using the conservation principle of mass and energy at steady state operation of the reactor.  The developed models were simulated using MATLAB at initial feed and operating temperature of 299.830k and 343.15k respectively and fractional conversion variation between 0 to 0.95 at an interval of 0.05. At a maximum conversion of 0.95, the PFR size specification for volume, height, diameter, space time, space velocity, quantity of heat generated and the quantity of heat generated per unit volume of the reactor was 15.2774m3, 4.2691m, 2.1346m, 2.9956sec., 0.3338sec-1, 12821.5800j/s and 839.2536j/sm3 respectively. The effect of the operating parameters on the performance or functional parameters of the reactor are presented in profiles as shown in figure 2 to 12 and the profile behaviour or trend were in agreement with process behaviour of PFR steady state operation in various literatures. The research have shown that in order to ensure sustainability and continuous production of ethyl acetate to meet the global demand of the economic and viable product, the plug flow reactor have demonstrated a good performance characteristics as a reacting media for the esterification process especially in the energy efficiency of the process as well as the product yield.
Creating a predictive model for early detection, intervention, and prevention of opioid addiction in the United States
Authors: Aminat Tinuwonuola Durojaiye  , Kenneth Udemezue katas
Published: November 2024

The opioid crisis in the United States has escalated into a public health emergency, requiring innovative strategies for early detection, intervention, and prevention of addiction. This paper proposes the development of a predictive model leveraging machine learning algorithms and big data analytics to identify individuals at high risk of opioid addiction. The model integrates various data sources, including electronic health records (EHRs), prescription drug monitoring programs (PDMPs), socioeconomic factors, and behavioral health data, to create a comprehensive risk assessment tool. By employing predictive analytics, healthcare providers and policymakers can proactively identify individuals with high addiction risk before they develop opioid use disorders, enabling timely intervention. The model prioritizes early detection by utilizing risk factors such as previous substance use, mental health conditions, and prescription patterns. Additionally, the model focuses on intervention strategies that are personalized to the individual's needs, incorporating social support, mental health treatment, and safe prescribing practices. Prevention efforts are enhanced by using predictive insights to inform public health campaigns and policy adjustments, targeting vulnerable populations with tailored messaging and resources. This predictive model aims to address the limitations of reactive approaches to opioid addiction, which often fail to prevent addiction at its root causes. By combining advanced analytics with clinical expertise, the model provides a more proactive solution that can improve patient outcomes and reduce the burden on healthcare systems. Furthermore, ethical considerations, such as data privacy, accuracy, and bias mitigation, are integral to the model's development to ensure responsible implementation. In conclusion, creating a predictive model for opioid addiction represents a critical step in the fight against the opioid epidemic, offering opportunities for early detection, targeted intervention, and effective prevention strategies.
Keywords: Opioid Addiction, Predictive Model, Early Detection, Machine Learning, Intervention, Prevention, Public Health, Data Analytics, Electronic Health Records, Prescription Drug Monitoring.