bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformações na construção da imagem turística projetada pelo poder público municipal de Campo Grande-MS
Authors: Garcia Daniela Sottili , De Souza Lima Bruno , Statella Martins Patrícia Cristina
Published: December 2024

Resumo: O presente estudo objetiva confrontar o marketing turístico divulgado nos materiais promocionais de Campo Grande, capital do estado do Mato Grosso do Sul, Brasil, elaborados pelo poder público na esfera municipal e a realidade urbana da cidade. Foi utilizado o método dedutivo e observacional, a partir de referencial bibliográfico relacionado a espaço, turismo e marketing institucional, além de prospectos (folders) turísticos, tendo como intenção identificar qual imagem turística tem sido construída para essa cidade ao longo dos últimos anos no intuito de fomentar a atividade turística nesta capital. Tal estudo de caso possibilitou constatar mudanças de slogans no marketing turístico em decorrência da descontinuidade das políticas públicas inerentes e o uso de alguns indicadores culturais ou naturais não característicos de Campo Grande. A coleta de dados demandou utilizar como base os materiais publicitários institucionais elaborados no período de 1998 até a atualidade. Os resultados indicaram a necessidade de se discutir sobre a criação de uma imagem turística para Campo Grande mais alinhada à sua realidade urbana.
Palavras-chave: Campo Grande – MS; Turismo; Marketing institucional e Slogans; Imagem urbana.
O turismo na Bahia e a difusão dos saberes tradicionais dos povos e comunidades da Reserva da Jaqueira, Matarandiba e Quilombo Kaonge
Authors: Vieira Salete , Benevides Clícia , Coimbra de Sá Natália
Published: December 2024

No estado da Bahia há crescimento de comunidades tradicionais que desenvolvem a atividade turística em seus territórios que, em muitos casos, buscam o turismo como estratégia de posicionamento a partir da qual conseguem falar de si ao mundo, mantendo suas tradições. Este trabalho tem como objetivo analisar a difusão dos saberes tradicionais no turismo por parte de alguns povos e comunidades na Bahia: Reserva Pataxó da Jaqueira, Matarandiba e Quilombo Kaonge. A abordagem é descritiva e exploratória, de caráter qualitativo, tendo como principais instrumentos de coleta de dados o levantamento bibliográfico, observação direta e aplicação de entrevistas com as principais lideranças. As comunidades foram definidas após a aplicação de critérios de inclusão e exclusão. Foi realizada explanação das comunidades analisando os principais métodos de difusão e verificou-se que os saberes e fazeres são transmitidos de geração em geração e adaptados para as atividades turísticas. Todas as comunidades têm como a finalidade de fortalecimento dos seus patrimônios culturais e naturais, o que é expresso fortemente em seus roteiros através de palestras e vivências. Considera-se fundamental apoiar as comunidades na preservação e transmissão de seus conhecimentos, respeitando suas tradições e modos de vida únicos e contribuir, por meio da publicação de pesquisas mais avançadas sobre o tema, colaborando com o processo de difusão.
A construção do discurso a partir do uso do termo “turismo sexual” na mídia jornalística.
Authors: Maranhão Christiano Henrique da Silva , Nascimento de Araújo Ana Cecília , Lemos  Daniel Dantas , Gonçalves  Marília Barbosa , De Oliveira Alexandre Mauro Lemuel
Published: December 2024

O artigo busca analisar a concepção e difusão do termo "turismo sexual" no discurso da mídia jornalística, utilizando o conteúdo do portal Tribuna do Norte e do blog E-Turismo, no contexto do Rio Grande do Norte, Brasil. A pesquisa procura entender as diferentes perspectivas sobre o significado do termo e como a mídia contribui para a construção de imagens e estereótipos relacionados a essa prática. Emprega-se a Análise Crítica do Discurso (ACD) de Teun A. Van Dijk (2005; 2018) e as reflexões de Michel Foucault (2008) sobre discurso e poder. O mapeamento inicial de 384 notícias foi selecionado em quatro fases, resultando em 56 notícias para análise. A análise priorizou títulos, imagens e textos, identificando parâmetros ideológicos, consequências discursivas e influências no imaginário social. Os principais resultados indicam que o termo “turismo sexual” é frequentemente associado a práticas ilegais e criminosas. Além disso, as notícias revelam uma confusão conceitual, contribuindo para a desinformação e estigmatização de indivíduos vulneráveis a essa prática. A análise também mostrou que a mídia perpetua estereótipos e preconceitos, estigmatizando comunidades locais e associando o “turismo sexual” a turistas estrangeiros, especialmente europeus. Ademais, a cobertura jornalística tende a adotar um tom moralista, reforçando divisões entre "nós" (sociedade de bem) e "eles" (criminosos), exacerbando a percepção negativa sobre determinados locais turísticos, como Ponta Negra, em Natal/RN. Esse tom moralista distorce a realidade e contribui para uma visão simplista e polarizada do fenômeno, ignorando as complexidades sociais e econômicas. Conclui-se que a mídia desempenha um papel relevante na construção de narrativas sobre “turismo sexual”. Existe uma necessidade imperativa de um alinhamento conceitual mais preciso e responsável com a terminologia, visando evitar a normalização de práticas criminosas e fomentar uma compreensão realista do fenômeno.
Palavras-chave: Turismo Sexual. Mídia Jornalística. Estereótipos. Análise Crítica do Discurso. Rio Grande do Norte.
O potencial de uma localidade para a oferta cultural e criativa e sua contribuição ao turismo: um método de avaliação
Authors: Corá Jacqueline Maria , De Alcântara Bittencourt César Pedro
Published: December 2024

No contexto contemporâneo em que mais da metade da população é urbana, as cidades assumem o protagonismo e são desafiadas a (re)descobrirem novos recursos a fim de atender as diferentes demandas da sociedade. Nesse contexto, a oferta cultural e criativa passa a ser entendida como recurso estratégico no âmbito econômico e, por meio das indústrias culturais e criativas e do turismo criativo, gera externalidades positivas promotoras de desenvolvimento sustentável local. Assim, evidencia-se a necessidade de identificar e valorizar as práticas que utilizam a cultura e a criatividade para agregar valor à cidade e que contribuam para a sua sustentabilidade. A partir desse entendimento, este estudo tem por objetivo elaborar um método a fim de compreender as potencialidades de uma localidade para a oferta de atividades culturais e criativas (ACCs), incluindo bens e serviços, com destaque ao turismo criativo. Para tanto, o estudo está assentado no método compreensivo weberiano, que propõe a construção de um modelo Tipo Ideal congregando todas as particularidades encontradas em fenômenos de mesma natureza, obtendo-se, portanto, um modelo abstrato e utópico, cujo principal objetivo é estabelecer um confronto com a realidade observada empiricamente. Dessa forma, a pesquisa de abordagem qualitativa, de tipo exploratório, adotou como procedimento metodológico a revisão teórica seguida da análise de conteúdo de 16 estudos aplicados que permitiram elencar os aspectos-chave necessários à construção do instrumento. Como resultado, obteve-se o Modelo Prático-Teórico (MPT) constituído por seis Dimensões (Humana, Econômica, Social, Cultural, Governança e Instrumental); 16 categorias de análise (Talento, Produção, Educação, Identidade e Pertencimento, Cultura, História e Memória, Resiliência, Relacional, Inteligência Coletiva e Gestão Pública, Meio Ambiente, Tecnologias, Infraestrutura e Recursos, Economia Digital, Emprego e Renda e Desenvolvimento), a partir das quais se elencou os indicadores e variáveis para a avaliação da localidade quanto as ACCs e sua relação com o turismo.
Úteros artificiais, órgãos por demanda e os dilemas da gestação
Authors: Manica Daniela Tonelli
Published: December 2024

O útero artificial é um tropo recorrente no imaginário tecnocientífico, suas ficções e protótipos, projetos e projeções. A proposta deste artigo é recuperar algumas referências culturais sobre úteros artificiais presentes na cultura popular, como livros, filmes e séries estadunidenses. Proponho experimentar com figurações que compõem o universo das pesquisas tecnocientíficas sobre a ectogênese, explorando suas narrativas visuais e materiais-semióticas. Discuto como as pesquisas contemporâneas propõem reposicionar o tema discutindo a bioengenharia de úteros. Apresento brevemente alguns experimentos com úteros artificiais extracorpóreos. Com uma perspectiva etnográfica e feminista situada no Brasil, proponho a discussão sobre úteros artificiais e a reprodução biológica, esperando abrir as concepções de vida, corpo e humanidade que estão em jogo no desenvolvimento tecnocientífico no Antropoceno.
Training in modern statistical methodologies and software tools for the definition and analysis of (stochastic) quantitative microbial risk assessment models with relevant food products for the Italian and Spanish food supply chains
Authors: Ehtesham Abdul Muhammad , Filipello Virginia , Fernandèz Escàmez Pablo S. , Perez Alberto Garre
Published: December 2024

Abstract
The fellowship, entitled ‘Training in modern statistical methodologies and software tools for the definition and analysis of (stochastic) quantitative microbial risk assessment models with relevant food products for the Italian and Spanish food supply chains’, was implemented at the Universidad Politécnica de Cartagena (UPCT), Spain. Supervised by Dr. Alberto Garre and Prof. Pablo S. Fernandez and coordinated by Dr. Virginia Filipello of the Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, Italy, the fellowship aimed to provide hands‐on training in quantitative microbial risk assessment (QMRA). The fellow benefited from UPCT's expertise in microbiological risk assessment, gaining knowledge of methodologies, terminologies and software tools essential for QMRA. The focus of the fellowship was on the risks associated with plant‐based milk products, which are increasingly popular as sustainable alternatives to dairy milk. Despite the heat treatments these beverages undergo to ensure safety, risks persist, such as cross‐contamination during post‐processing or the survival of heat‐resistant spores like Bacillus cereus. A recent European outbreak linked to contaminated oat milk underscored the importance of assessing these risks. The project was conducted in two phases: first, at UPCT's Food Microbiology Laboratory, where the fellow handled and characterised the thermal resistance of various B. cereus strains using a thermoresistometer; and second, through remote analysis of experimental data using risk analysis software tools. The fellow developed skills in microbiological techniques, such as spore preparation and thermal resistance evaluation, and became proficient in data analysis using the R programming language and the biorisk package. The fellowship culminated in the development of a QMRA model to estimate the likelihood of B. cereus‐related foodborne illness from plant‐based milks, considering different heat treatments and bacterial strains. The fellow's training covered all stages of risk assessment, including hazard identification, exposure assessment, hazard characterisation and risk characterisation, providing a comprehensive foundation for a career in food safety and microbial risk assessment.
Multi‐omics approach in gut and environmental microbiota research under the One Health concept
Authors: Kostka Anna , Gruszecka‐Kosowska Agnieszka , Ruiz‐Rodríguez Alicia , Aguilera Margarita
Published: December 2024

Abstract
The One Health concept, although formulated two decades ago, remains challenging to implement. It necessitates the integration of numerous scientific disciplines, diverse techniques and various professional expertise. Furthermore, it often requires the collaboration of different institutions, encompassing both scientific and administrative entities. This concept posits that human health is intrinsically linked to and dependent on the well‐being of animals, plants and the broader environment, while the environment not only sustains life but can also serve as a source of xenobiotics that affect the health‐disease balance. In this context, all components of the potential exposome, encompassing the entirety of factors of various natures that influence health throughout life, must be considered comprehensively. Achieving this holistic understanding typically demands the application of multiple research techniques, known as the multi‐omics approach and the adoption of an integrated method for data analysis. This project endeavoured to utilise such an integrated approach, examining data from diverse origins: human (children stool for gut microbiota analysis) and environmental (groundwater for hyporheic zone microbial analysis), as well as implementing comprehensive informatic tools for data processing. Analysis of stool samples revealed significant differences in gut microbiota composition across various taxonomic levels between normal weight, overweight and obese children. Additionally, a potential link between certain xenobiotics and gut microbiota composition, body weight and overall health status was identified. Analysis of groundwater samples revealed significant differences in hyporheic zone microbial composition at various taxonomic levels based on the sampling location and depth. Key geochemical factors influencing sample diversity were also identified. The promising results obtained not only demonstrate the viability of this methodology but also pave the way for future research initiatives.
New approach methodologies for risk assessment using deep learning
Authors: Junquera Enol , Díaz Irene , Montes Susana , Febbraio Ferdinando
Published: December 2024

Abstract
The advancement of technologies and the development of more efficient artificial intelligence (AI) enable the processing of large amounts of data in a very short time. Concurrently, the increase in information within biological databases, such as 3D molecular structures or networks of functional macromolecule associations, will facilitate the creation of new methods for risk assessment that can serve as alternatives to animal testing. Specifically, the predictive capabilities of AI as new approach methodologies (NAMs) are poised to revolutionise risk assessment approaches. Our previous studies on molecular docking predictions, using the software Autodock Vina, indicated high‐affinity binding of certain toxic chemicals to the 3D structures of human proteins associated with nervous and reproductive functions. Similar approaches revealed potential sublethal interactions of neonicotinoids with proteins linked to the bees' immune system. Building on these findings, we plan to develop an AI‐based decision tool that exploits the data available on the toxicity of the most know chemical, such as LD50, and the data obtainable by their interaction with the human proteins to support risk assessment studies for multiple stressors still not characterised. Our focus will be on utilising these new bioinformatics methodologies to develop specific experimental designs that allow for confident and predictable study of the toxic and sublethal effects of pesticides on humans. We will also validate the developed NAMs by integrating existing in vivo information from scientific literature and technical reports. These approaches will significantly impact toxicity studies, guiding researchers' experiments and greatly reducing the need for animal testing.
Training in quantitative microbial risk assessment of Listeria monocytogenes in processing chains: Quantification of biofilm‐cells transfer integrating virulence and persistence factors
Authors: Tomasello Federico , De Cesare Alessandra , Valero Díaz Antonio
Published: December 2024

Abstract
Food safety is a global challenge, with nearly 1 in 10 people worldwide falling ill each year from consuming contaminated food. The risk is particularly high in ready‐to‐eat (RTE) products, which are consumed without further cooking to eliminate harmful microorganisms. To address this, the University of Cordoba and the University of Bologna, in the framework of the EU‐FORA programme, developed a training programme focused on quantitative microbial risk assessment (QMRA) for Listeria monocytogenes in RTE food processing chains, a significant public health concern due to its association with severe foodborne illnesses. The programme aimed to train the fellow in advanced food microbiology techniques, predictive modelling and comprehensive QMRA methodologies. The fellow gained hands‐on experience with predictive microbiology models applied to real‐world scenarios, particularly RTE meat and fish products. Activities included developing predictive models for microbial growth and conducting challenge tests to evaluate Listeria behaviour in various foods. Emphasising data collection and statistical analysis, the fellowship explores the dynamics of Listeria within the food supply chain. A case study on sliced cooked ham demonstrates QMRA's application, using Monte Carlo simulations to estimate Listeria concentrations at consumption, ultimately informing risk management strategies. This initiative aimed to increase the number of food safety risk assessment experts in Europe, thereby enhancing public health outcomes related to foodborne diseases.
Risk assessment of food contact materials
Authors: Varalda Giorgia Maria , Zellmer Sebastian , Tietz Thomas
Published: December 2024

Abstract
Food Contact Materials (FCMs), such as plastics, papers, ceramics and inks used in food packaging, containers, kitchen utensils and tableware are subject to scrutiny due to their potential to release toxic compounds into food. In the European Union, materials and articles intended for contact with food must adhere to stringent safety regulations and novel materials not explicitly covered by existing legislation require individual risk assessment. This project focused on the assessment of the genotoxic potential of two substances used in FCMs, specifically neodecanoic acid (NDA) and di(2‐ethylhexyl) phthalate (DEHP), for which data gaps have been identified in genotoxicity studies. NDA was selected because it was re‐evaluated due to the intention to approve its use in printing inks for FCMs. For DEHP, various studies on genotoxicity are available, which, however, differ in their outcome. DEHP is commonly used as a plasticiser to enhance the flexibility, transparency, durability of plastics and is ubiquitously detected in daily life. The present study followed the EFSA strategy for the assessment of genotoxicity applying in vitro methods in bacterial and mammalian cells as well as in silico approaches. In this context, aneuploidy, a thresholded genotoxic effect, received particular attention since few indications are available on the aneugenic activity of FCMs. The results showed significant findings that require further investigation.
Chemical and microbial risk assessment of wild edible plants and flowers
Authors: Carpena Maria , Prieto Miguel A. , Trząskowska Monika
Published: December 2024

Abstract
The document focuses on the chemical and microbial risk assessment of wild edible plants (WEPs) and flowers, highlighting potential risks from heavy metals, pesticides and microorganisms. WEPs are valuable for human nutrition and gastronomy, offering essential compounds and health benefits. They are also seen as a sustainable food source. The study used various data sources and methodologies, including microbiological load and heavy metals' analysis, to assess the risks associated with WEPs. Consumption data were gathered to comprehensively assess exposure assessment. This document provides detailed recommendations for risk characterisation and management to mitigate potential health hazards associated with WEPs. The document was developed as part of the EU‐FORA fellowship programme, which aims to enhance food risk assessment expertise through training to ensure preparedness for future risk analysis needs.
Q4MRATools: Quantitative tools to microbial risk assessment
Authors: Luque Olga María Bonilla , Valero Antonio , Possas Arícia , Roufou Styliani , de Oliveira Mallia Jefferson , Valdramidis Vasilis
Published: December 2024

Abstract
In the context of the European Food Risk Assessment (EU‐FORA) fellowship programme, the project ‘Q4MRATools: Quantitative Tools to Microbial Risk Assessment’ focused on training in predictive microbiology, experimental design and the use of advanced software tools like R, MATLAB, @Risk, DMFit and GInaFiT. The primary objective of this programme was to equip the fellow with foundational knowledge in quantitative microbial risk assessments (QMRA), thereby contributing to the development of more effective and accurate food safety risk assessments. This initiative was part of a broader effort to address the evolving challenges in food safety by enhancing collaborative actions and developing robust food safety systems. The fellow engaged in various risk assessment tasks, acquiring fundamental knowledge in predictive microbiology, particularly different modelling strategies for growth and inactivation models, as well as understanding the nuances of microbiological behaviour under different conditions and food matrixes environments. The training emphasised the importance of experimental design and the application of software tools essential for conducting QMRA. Secondary activities were also included to broaden the fellow's competencies, expanding their expertise beyond qualitative methods.
Tehlikeli Oyunlar’da Yalnızlık Duygusunun Deneyimini Mekân ve Bedenle Okumak: Fenomenolojik Bir Yaklaşım
Authors: Vural Arslan Ebru , Gariper Cafer
Published: December 2024

İnsan varoluşunun merkezinde olan duygular; bireyin öznelliğini, bilincinin boyutlarını, seçimlerini, özgürlük algısını, edimlerini/edimsizliğini, davranış stratejilerini yorumlamada önemli rol üstlenir. Modern yaşamın çoğulculuğu içinde birey; içinde bulunduğu dünyadaki nesnelerle, başkalarıyla, sıradanın ve yapmacıklığın değer yargılarıyla kuşatılmıştır. Bu kuşatılmışlık, kıstırılmışlık hissini perçinler ve birey kendini her geçen gün daha yalnız, merkezin dışında hisseder. Oğuz Atay’ın Tehlikeli Oyunlar romanında yalnızlık duygusu, Hikmet Benol odağında bireyin başkası ile ilişkisi, bu ilişkiye yönelik algıları, varoluşunun bedenselliği ve mekansallığı bağlamında bir deneyime dönüşür. Bireyin öznel deneyiminde ontolojik boyutuyla beliren yalnızlık duygusunun mekan ve bedenle somutlaşan bağı fenomenolojik yaklaşımın olanaklarıyla irdelenecektir. Bu nedenle çalışmanın kuramsal çerçevesi fenomenolojik yaklaşımla yalnızlık duygusunun deneyimini içerir. Çalışmanın inceleme kısımlarında ise Hikmet Benol’un başkası ile arasındaki gerilimde yalnızlığı nasıl deneyimlediği, yer arayışı ve edimleri öne çıkarılmıştır.
TO STUDY THE EFFECT OF TRANSFORMATION IN ONLINE EDUCATION ON MENTAL HEALTH OF SOUTH ASIAN UNIVERSITIES IN THE CONTEXT OF INDIA, SRI LANKA AND NEPAL (BEFORE AND DURING COVID19)
Authors: Kumar Mukesh , Hooda Madhuri
Published: December 2024

The demand for quality education always creates new inventions and Massive Open Online Courses (MOOC) is one of that which is an online course with no limit of class size and provides free education via the web. In recent years, there has been an increasing interest in MOOCs as it provides a platform to large number of learners. No doubt, it enhanced the quality of education by including blended learning but it also affects the mental health of the students of universities. The main objective of this research paper is to study the mental health of students studying in South Asian Universities during Covid19. To achieve this objective, the investigator compared the scores of mental health of students of South Asian Universities before and during Covid19 in the context of India, Sri Lanka and Nepal. Descriptive research method was used in this research paper. 3000 students were selected randomly from different South Asian Universities. One self-made questionnaire of mental health was constructed by investigators to know the mental health of the students towards online education during Covid19. Question wise deep analysis of Mental Health of Students has also been done by the investigator and presented in the form of percentage. After analysis it was revealed that students felt anxiety, tension, depression, headache, tiredness and suffer eye problem in studying online mode during covid19. Finally, the investigator concluded that mental health of students of South Asian Universities was affected through transformation of online education during covid19.
EFFECTS OF FOAM ROLLING AND COLD-WATER IMMERSION ON SELECTED PHYSIOLOGICAL COMPONENTS
Authors: Riya  , Nawathe Dinanath
Published: December 2024

The purpose of the study was to find out the effects of foam rolling and cold-water immersion (CWI) recovery method on selected physiological condition after matches among badminton players. A total 30 subjects were purposely selected from the Degree College of Physical Education Amravati and were divided into 3 groups of 10 subjects each. The study was delimited to male players only age ranged 18 to 25 years. The selected dependent variables for the study were Lactic Acid, Heart rate and Breathing rate. Foam roller and CWI were taken as independent variables. The reading of Lactic acid, Heart rate and Breathing rate were measured and recorded accordingly after match and after Recovery method. The subjects performed different recovery method on different days. The data for selected physiological variables were collected pre and post recovery methods. Capillary blood samples were taken for lactic acid, breathing rate and heart rate were measured manually. The data was analyzed through two-way mixed ANOVA at 0.05 level of significance. The study overall concludes that foam rolling recovery modality can be preferred in place of cold-water therapy for recovery process. The major physiological change i.e. lower lactic acid allows a shuttler to recover faster and get ready for another match in the same day. As the rough surface of the roller apply specific pressure at specific muscle which allows the proper blood flow at that particular area further it removes all the edema which occur at the time of playing, it increases inflammatory responses. By observing the result of the study one can say that the shuttlers can prefer to do foam rolling at the time of recovery.
Hilbert-hotel átépítés : avagy egy érdekes feladatcsokor számosságok bevezető tanításához
Authors: Losonczi Attila , Bölcskei Attila , Talata István
Published: December 2024

Amikor a számosságok alapjait oktatjuk egyetemen, a Hilbert-hotel és a vele kapcsolatos feladatok érdekes és inspiráló színfoltot jelentenek mindig a hallgatóknak. Ezt szeretnénk kiegészíteni néhány saját gyártású új típusú feladattal, melyek a hotel trükkös átépítéseivel kapcsolatosak, és melyek megoldása tovább mélyítheti a hallgatók érdeklődését a téma iránt.
A fenntartható fejlődés jelenlegi helyzete hazánkban a statisztikai mérőszámok tükrében
Authors: Sándorné Kriszt Éva
Published: December 2024

A tanulmány a fenntartható fejlődés mérési lehetőségeivel foglalkozik. Előtérbe kerülnek a Nemzeti Fenntartható Fejlődési Keretstratégiában szereplő célok és indikátorok. Elengedhetetlen az 5. előrehaladási jelentés 16 indikátorának definiálása és elemzése, valamint a legfontosabb megállapítások értékelése. Végezetül értelemszerűen megfogalmazásra kerülnek a következő időszakra vonatkozó javaslatok, kiemelten a humántőke pilléren, ezen belül az oktatás, különösen pedig a felsőoktatás területén.
Felsőoktatási intézményekben alkalmazott fenntartható gyakorlatokkal kapcsolatos hallgatói percepciók összehasonlító elemzése: állami és magánegyetemek tanulmányozása
Authors: Simran Kaur , Bánhalmi Árpád , Czeglédi Csilla , Mahesh Kumar Singh
Published: December 2024

A tanulmány célja a felsőoktatási intézmények fenntarthatósági szintjével kapcsolatos hallgatói felfogás értékelése és összehasonlítása volt. Az adatokat 800 olyan hallgatótól gyűjtöttük, akik jelenleg állami vagy magán felsőoktatási intézményekben tanulnak. A fenntarthatóságra irányuló hallgatói percepciók értékeléséhez négy tényezőt vizsgáltunk: a kampusz fenntarthatósága, a környezeti információk, a hallgatók fenntarthatóságban való részvétele, valamint az egyetem szerepe a fenntartható fejlődésben. Az ANOVA eredmények azt mutatják, hogy statisztikailag szignifikáns különbségek vannak a magán és állami felsőoktatási intézmények átlagos pontszámai között a fenntartható gyakorlatok minden dimenziójában. A jövőben az elemzés kiterjeszthető más változókra is, mint az egyéni tényezők, demográfiai tényezők és helyzetfüggő vonatkozások.
Pénzügyi műveltség, pénzügyi jólét és a digitális pénzügyi műveltség 2023. évi eredményei és összefüggései nemzetközi összehasonlításban
Authors: Sárközy Helga
Published: December 2024

A pénzügyi műveltség vizsgálatára mintegy 39 ország - köztük 20 OECD-tagország és 8 G20-tag – részvételével zajlott az OECD/INFE 2022-23. évi átfogó kutatása, melynek eredménye 2023. év végén látott napvilágot. Az átlagos pénzügyi műveltségi pontszám az összes részt vevő ország viszonylatában 100-ból 60 pont, ami bár javulást mutat az előző évi adatokhoz képest, de nem elégséges, ha figyelembe vesszük, hogy a fogyasztói pénzügyi szolgáltatások piacának mérete és jellege jelentősen nőtt és megváltozott az elmúlt 5 évben. Az OECD pénzügyi műveltségről szóló ajánlása az egyéni pénzügyi jólétet ismeri el a pénzügyi műveltséggel kapcsolatos programok végső céljaként. A kutatások bebizonyították, hogy a magasabb pénzügyi műveltség nagyobb egyéni pénzügyi jóléttel jár. A pénzügyi jólét egyik dimenziója az egyének személyes pénzügyi helyzetükről alkotott szubjektív felfogását tükrözi, másik fontos eleme a pénzügyi ellenálló képesség, amely a negatív pénzügyi sokkokkal való megbirkózás képességét jelenti. Jelen írásban foglalkozunk továbbá a digitális pénzügyi műveltséggel, ami az általános pénzügyi műveltség egy speciális területe. Szintén az OECD megközelítésében vizsgáljuk a digitális pénzügyi jártasságot, amely szükséges ahhoz, hogy az egyének tisztában legyenek a digitális pénzügyi szolgáltatásokkal és digitális technológiákkal, és biztonságosan használják azokat. Az eredmények azt mutatják, hogy összes részt vevő országban átlagosan csak a felnőttek 29%-a éri el a minimális digitális műveltségi pontszámot, és ami még fontosabb adat számunkra, hogy a pénzügyi termékek és szolgáltatások online kezelésével foglalkozó felnőtteknek mindössze 38%-a éri el a digitális pénzügyi jártasság minimális célpontszámát. Magyarország a vizsgált országok rangsorában az utolsó harmadban helyezkedik el. Megállapíthatjuk tehát, hogy a felnőtt lakosság többsége nem feltétlenül rendelkezik elegendő tudással és készséggel a digitális termékek és szolgáltatások biztonságos használatához, ami indokolhatja, azt is hogy az összes válaszadók 15%-a jelezte, hogy volt már csalás- vagy kifejezetten pénzügyi csalás áldozata. A pénzügyi műveltséggel, és ennek részeként a digitális pénzügyi műveltséggel valamint a pénzügyi jóléttel foglalkozó legfrissebb kutatási eredmények azt is igazolják, hogy mihamarabb szükséges pénzügyi oktatással felzárkóztatni a nőket, fiatalokat vagy időseket - akik a legalacsonyabb pénzügyi műveltségi szinttel rendelkeznek - mert csak így képesek megalapozott pénzügyi döntéseket hozni, vagy biztonságosan kapcsolatba lépni az egyre inkább digitalizált pénzügyi szektorral, ami egyben össztársadalmi érdekünk.
Modelo 3PG para estimar la productividad, almacenamiento de Carbono e Índice de Aridez en plantaciones forestales de Eucalyptus L'Hér. en México
Authors: Hakamada Rodrigo , Prados Coronado Jesús , Lages Marinho Falcão Cassiano José , Carrero Omar , Sulbarán Rangel Belkis Coromoto
Published: December 2024

Una de las maneras más eficientes de mitigar el cambio climático es a través del secuestro y almacenamiento de Carbono por medio de plantaciones forestales; las cuales además de almacenarlo, pueden generar un cambio en el balance hídrico del suelo; por lo tanto, los dos parámetros, evaluados de manera conjunta, generan información valiosa. El objetivo del trabajo fue estimar el almacenamiento de Carbono y el Índice de Aridez (evapotranspiración/precipitación) mediante modelaje ecofisiológico (modelo 3PG) para plantaciones de eucalipto en México; se identificaron los principales factores influyentes en la evapotranspiración y en el almacenamiento de Carbono. Desde el punto de vista práctico, se elaboraron mapas con la aptitud de las tierras para plantaciones forestales de eucalipto. La productividad alcanzable promedio estimada fue de 55 m3 ha-1 año-1, con una variación de 18 a 117 m3 ha-1 año-1; mientras que el almacenamiento de Carbono arriba del suelo fue de 26 a 288 t ha-1 a los seis años, con un promedio de 80 t ha-1. La evapotranspiración varió entre 426 y 1 713 mm año-1 (promedio de 1 053 mm año-1), que resultó en un Índice de Aridez de 0.61 a 8.87. Las principales variables que controlan la productividad, reserva de Carbono y el Índice de Aridez en México son la precipitación y la latitud. Los mapas de aptitud para plantaciones de eucalipto en México mostraron áreas de aptitud alta y muy alta que sumaron 1.4 millones de hectáreas, confirmando el enorme potencial del país para desarrollar plantaciones forestales con eucalipto.
PENGARUH VALUE ADDED CAPITAL EMPLOYED (VACA), VALUE ADDED HUMAN CAPITAL (VAHU), STRUCTURAL CAPITAL VALUE ADDED (STVA) TERHADAP PBV PADA PERUSAHAAN PERKEBUNAN YANG TERDAFTAR DI BURSA EFEK INDONESIA.
Authors: Rika Yuniarti  , Muslim Ade Imam , Chairunnas Arnadi
Published: December 2024

Kemajuan teknologi dan informasi menyebabkan perkembangan ekonomi saat ini dikendalikan oleh informasi dan pengetahuan, hal ini membawa peningkatan perhatian pada modal intelektual . Adapun tujuan penelitian ini untuk mengetahui dan menganalisis pengaruh VACA, VAHU, dan STVA terhadap nilai perusahaan (PBV). Jenis data yang digunakan adalah data sekunder dari laporan keuangan perusahaan perkebunan di Bursa Efek Indonesia tahun 2011-2020. Sampel penelitian diperoleh 7 perusahaan dengan 10 tahun pengamatan (2011-2020), sehingga diperoleh jumlah data sebesar 70 data (7 x 10 tahun). Teknik pengumpulan data menggunakan studi pustaka dan studi dokumentasi. Teknik pengolahan data menggunakan statistik deskriptif. Hasil analisis uji t untuk variabel VAHU diperoleh nilai thitung sebesar 0,230 > ttabel (0,197) dengan nilai probabilitas sebesar 0,819 < 0,05 maka H 1 diterima. Dari hasil analisis nilai R Square sebesar 0,038 berarti variabilitas variabel independen dapat dijelaskan oleh variabel independen sebesar 38 %.
Upayah dan Pendampingan Strategi Percepatan Penurunan Angka Stunting di Kabupaten Sumbawa Barat Melalui Pengolahan Pangan Lokal Sehat
Authors: Eko Supriastuti  , Muhammad Nursan  , Amry Rakhman
Published: December 2024

Kabupaten Sumbawa Barat, terjadi peningkatan angka stunting dari tahun 2019 dibandingkan dengan tahun 2020 yaitu sebanyak 0,1%. Pada tahun 2019 persentase stunting sebanyak 15,09% sedangkan pada tahun 2020 naik menjadi 15,80%. Hal ini menunjukkan adanya kenaikan angka stunting secara kabupaten walaupun di beberapa kecamatan ada yang menurun. Meskipun angka ini sudah di bawah angka target yang ditetapkan oleh Badan Kesehatan Dunia (WHO), stunting tidak lebih dari 20%. Namun kendala pelaksanaan pencapaian target penurunan stunting karena belum adanya strategi prioritas yang dapat dilaksanakan dalam percepatan penurunan angka stunting di kabupaten sumbawa Barat. Oleh karena di lakukan berbagai upayah dan strategi untuk merunkan angka stunting. Pengabdian bertujuan untuk mendampingi para kader dalam pemberian PMT pada ibu hamil dan menyusui, dan strategi prioritas percepatan penurunan stunting di Kabupaten Sumbawa Barat, lokasi penelitian di Desa Batu Putih, Metoda pengabdian pendampingan praktek atau pelatihan pada para kader, ibu hamil dan menyusui. Hasil pengabdian di dapatkan beberapa upayah inovasi yang telah di lakukan dalan percepatan penurunan stunting di kabupaten Sumbawa Barat yaitu: 1). Meni Sekok (jimpitan beras), 2). Juminten (jumat minum tablet tambah darah dan penyuluhan kesehatan), 3). Kerling mata hati (kelompok peduli stunting menuju balita sehat indonesia). 4) Mengolah pangan local dengan isian gizi seimbang, dengan strategi yaitu 1). Meningkatkan pendampingan secara intensif pada masyarakat yang kurang berpendidikan, masyarakat ekonomi menengah kebawah, masyarakat berpotensi pernikahan dini dengan memaksimalkan posyandu gotong royong.
Pemanfaatan Teknologi GPS Guna Optimalisasi Fishing Ground di Lombok Utara
Authors: Larasati Chandrika Eka , Wahyudi Rhojim , NURLIah Nurliah , Damayanti Ayu Adhita , Sakinah Sholihati Lathifa , Mujib Abd. Saddam
Published: December 2024

Lombok Utara memiliki potensi perikanan yang besar, namun tantangan dalam penentuan lokasi fishing ground yang optimal seringkali menjadi hambatan dalam peningkatan hasil tangkapan dan pendapatan, khususnya bagi nelayan tradisional. Pengabdian ini bertujuan untuk meningkatkan kemampuan nelayan dalam memanfaatkan teknologi Global Positioning System (GPS) guna mengoptimalkan penentuan lokasi fishing ground. Berkolaborasi dengan Kesatuan Nelayan Tradisional Indonesia (KNTI), program ini difokuskan pada peningkatan keterampilan nelayan dalam menggunakan GPS, yang selama ini belum banyak diakses oleh komunitas nelayan tradisional. Melalui serangkaian pelatihan dan penyuluhan, nelayan diperkenalkan pada teknologi GPS, mulai dari cara operasional dasar hingga aplikasi praktis di lapangan. Pendampingan intensif dilakukan untuk memastikan bahwa nelayan mampu menggunakan GPS secara mandiri dalam aktivitas penangkapan sehari-hari. Hasil dari kegiatan ini menunjukkan peningkatan yang signifikan dalam efisiensi penentuan lokasi penangkapan, mengurangi penggunaan bahan bakar, mengurangi ketergantungan pada metode tradisional yang memakan waktu, dan meningkatkan hasil tangkapan secara keseluruhan. Melalui kemitraan dengan KNTI, program ini juga mengedepankan nilai-nilai keberlanjutan dan kelestarian lingkungan, sejalan dengan prinsip-prinsip perikanan tradisional yang ramah lingkungan. Dengan demikian, penggunaan teknologi GPS menjadi salah satu solusi efektif dalam meningkatkan produktivitas perikanan dan kesejahteraan nelayan tradisional di Lombok Utara.
Peta Kendali Demerit Untuk Data Autokorelasi (Moving Centerline Demerit dan Moving Range)
Authors: Nasruddin Nurmasyita , Erna Tri Herdiani  , Nasrah Sirajang
Published: December 2024

ABSTRAK
Proses industri seringkali menghasilkan data cacat yang bersifat autokorelasi, hal ini meyebabkan asumsi dasar penggunaan peta kendali tidak terpenuhi. Peta kendali demerit direkomendasikan untuk perusahaan yang terdapat berbagai macam tingkat kesalahan. Peta kendali demerit adalah metode pengendalian kualitas yang mengkategorikan jenis cacat ke dalam beberapa kelas berdasarkan tingkat keseriusannya. Peta kendali demerit sangat berguna dalam situasi di mana terdapat berbagai macam tingkat kesalahan, memungkinkan perusahaan untuk mengidentifikasi dan mengatasi cacat berdasarkan tingkat dampaknya terhadap kualitas produk. Penelitian ini bertujuan untuk memperoleh peta kendali Demerit pada data berautokorelasi dan menerapkan peta kendali Residual Demerit dan peta kendali Moving Centerline Demerit sebagai solusi dalam peta kendali Demerit autokorelasi terhadap pengendalian kecacatan produk pada data wadah plastik anti bocor. Metode yang digunakan adalah peta kendali demerit, peta kendali Residual, dan peta kendali Moving Centerline Demerit (MCD). Data yang digunakan merupakan data sekunder. Hasil penenelitian ini memperlihatkan bahwa peta kendali Residual dan peta kendali Moving Centerline Demerit sama unggulnya dalam mengatasi data autokorelasi pada peta kendali Demerit dimana sama-sama terdapat 4 out of control atau 4 titik yang mengindikasikan adanya masalah proses produksi yang tidak dapat diatasi oleh perusahaan.
ABSTRACT
Industrial processes often produce defect data that is autocorrelated, causing the basic assumptions of using control maps to not be met. If there are various levels of errors in the company, then the company is advised to use the Demerit control map. Demerit control map is a quality control method that categorizes defect types into several classes based on their seriousness. Demerit control maps are particularly useful in situations where there is a wide range of error rates, allowing companies to identify and address defects based on their level of impact on product quality. This study aims to derive Demerit control maps on autocorrelated data and apply the Residual Demerit control map and the Moving Centerline Demerit control map as solutions in the autocorrelated Demerit control map to product defect control on leak-proof plastic container data. The methods used are Demerit control map, Residual control map, and Moving Centerline Demerit (MCD) control map. The data used is secondary data. The results of this study indicate that the Residual control map and the Moving Centerline Demerit control map are equally superior in overcoming autocorrelated data on the Demerit control map where there are both 4 out of control or 4 points that indicate a production process problem that cannot be overcome by the company.
Perbandingan Algoritma Density-Based Spatial Clustering Algorithm with Noise (DBSCAN) dan Self-Organizing Map (SOM) untuk Clustering Data Gempa Bumi
Authors: Wati Rosita Kurnia , Pratiwi Hasih , Winita Sulandari
Published: December 2024

ABSTRAK
Gempa bumi merupakan bencana alam yang kerap melanda Indonesia karena letak geografisnya berada pada batas pertemuan tiga lempeng aktif dunia. Dampak kerusakan yang timbul akibat gempa bumi bergantung pada magnitudo dan kedalamannya. Oleh karena itu, perlu upaya mitigasi bencana dan manajemen risiko bencana melalui pengolahan data untuk mengetahui karakteristik dari data gempa tersebut. Penelitian ini bertujuan untuk clustering data gempa bumi di Indonesia berdasarkan magnitudo dan kedalaman dengan menerapkan algoritma Density-Based Spatial Clustering Algorithm With Noise (DBSCAN) dan Self-Organizing Map  (SOM) dengan validasi kebaikan cluster menggunakan koefisien silhouette. Penerapan algoritma DBSCAN dengan nilai Eps dan MinPts optimal sebesar 1,6 dan 12 membentuk dua cluster dan 23 data diidentifikasi sebagai noise, sedangkan menggunakan algoritma SOM dengan learning rate 0,05 dan maksimal epoch 1.000 membentuk dua cluster. Pada analisis ini SOM mampu  melakukan clustering yang lebih baik jika dibandingkan dengan DBSCAN karena memberikan  nilai koefisien silhouette yang lebih besar, yaitu sebesar 0,717 sedangkan DBSCAN sebesar  0,677. Hasil clustering terbaik memiliki karakteristik yaitu cluster 1 dikategorikan sebagai gempa sedang berkekuatan sedang dan cluster 2 dikategorikan sebagai gempa dangkal berkekuatan sedang.
ABSTRACT
Earthquakes are natural disasters that occur frequently in Indonesia because of the geographical location at the convergence of three active tectonic plates. The severity of an earthquake's impact is influenced by magnitude and depth. Therefore, disaster mitigation efforts and disaster risk management through data mining are needed to understand the characteristics of earthquakes. This research aims to cluster earthquake data in Indonesia based on magnitude and depth by applying a Density-Based Spatial Clustering Algorithm with Noise (DBSCAN) and Self-Organizing Map (SOM) algorithms and cluster results are evaluated using the silhouette coefficient. Using the DBSCAN algorithm with optimal Eps and MinPts values of 1.6 and 12 formed two clusters and 23 data were identified as noise while using the SOM algorithm with a learning rate of 0.05 and a maximum epoch of 1000 formed two clusters. SOM can perform clustering better than DBSCAN because it provides a larger silhouette coefficient value, which is 0.717 while DBSCAN is 0.677. The clustering results obtained show that cluster 1 is categorized as moderate earthquakes of moderate intensity and cluster 2 is categorized as shallow earthquakes of moderate intensity.
Pembentukan Portofolio Robust Mean-Variance Saham Syariah Jakarta Islamic Index (JII) Melalui Pendekatan Analisis Klaster K-Medoids
Authors: Widiawati Alfina Viona Isabela , Epha Diana Supandi
Published: December 2024

ABSTRAK
Portofolio adalah kumpulan dari beberapa aset. Tujuan pembentukan portofolio yaitu untuk menghasilkan return yang paling tinggi sambil mengurangi risiko. Untuk menghindari outlier yang sering terjadi dalam portofolio model Mean-Variance (MV), perlu menggunakan estimasi robust. Data penelitian menggunakan closing price bulanan dari saham-saham yang konsisten selalu masuk ke dalam kelompok Jakarta Islamic Index (JII) periode Januari 2019 – Juni 2023. Tahap awal analisis menggunakan teknik klastering metode K-Medoids berdasarkan pada nilai expected return dan risiko. Klasterisasi dilakukan untuk menghemat waktu dan menekan biaya manajemen portofolio. Hasil analisis klaster menciptakan dua klaster. Saham INCO dan ADRO mewakili klaster pertama, dan saham KLBF dan AKRA mewakili klaster kedua. Keempat saham representasi tersebut dibentuk portofolio MV robust S dan portofolio MV robust Constrained-M (CM). Kinerja portofolio diukur menggunakan sharpe ratio. Hasil analisis menunjukkan bahwa kinerja model portofolio robust MV estimasi Constrained-M (CM) mengungguli kinerja model portofolio robust MV estimasi S.
ABSTRACT
A portfolio is an assortment of several items. The goal of portfolio construction is to get the maximum return at the least amount of risk. Robust estimate is a means to mitigate the sensitivity of the Mean-Variance (MV) model portfolio to outliers. The research data uses monthly closing prices of stocks that are consistently included in the Jakarta Islamic Index (JII) group for the period January 2019 - June 2023. The initial stage of analysis uses the K-Medoids method clustering technique based on the expected return and risk values. The purpose of the clustering is for time efficiency and to reduce the amount of costs in managing the portfolio. The results of the cluster analysis formed two clusters, where the first cluster is represented by INCO and ADRO stocks. While the second cluster is represented by KLBF dan AKRA stocks. The four representative stocks are formed MV robust S portfolio and MV robust Constrained-M (CM) portfolio. Portfolio performance is measured using the sharpe ratio. According to the analysis's findings, the Constrained-M (CM) estimation MV robust portfolio model performs better than the S estimation MV robust portfolio model.