bluuebunny/crossref_metadata_2025 huggingface dataset:
A Chicano’s Poetic Exploration: Usando mi autohistoria-teoría para ver los lobos, correr con los coyotes, y vivir como el zorro
Authors: Ramirez Ernesto Fidel
Published: May 2024

My epic poem provides a realization of a Chicano experience in higher education. It is both humanizing and validates a different ontology, epistemology, and axiology (Brayboy, 2005; Kaomea, 2009; Kitchen, Cherubini, Trudeau, & Hodson, 2010). It is a means by which to displace Western Eurocentric ideologies and connect us, storyteller and listener, by privileging the relationship that exists between us rather than the information that is exchanged (Bishop, 2011; Smith, 2012). I am an academic and I am a Chicano, they are not mutually exclusive, and I exist in more than one place and more than one time (Cooper, 1987; De La Torre & Zúñiga, 2013; Ortiz, 1983; Willis & Murphy-Shingematsu, 2009).
Juridical Review of Elections Dispute Settlement in Indonesia
Authors: Yamani Akhmad Zaki , Sunardi Sunardi , Arief Hanafi
Published: May 2024

The research on “Juridical Review of Election Dispute Resolution in Indonesia” aims to describe the mechanism of election dispute resolution in Indonesia, and analyze the current weaknesses of election dispute resolution in Indonesia. This is a normative legal research, which examines laws and regulations in an Indonesian legal system that are coherent with written legal values, especially those related to election dispute resolution in Indonesia. The results of the study state that election settlement mechanisms are important to protect the rights of citizens and help determine whether elections are truly a reflection of the will of their citizens, as well as for elections to be considered credible, voters and election contestants must have access to effective election dispute resolution mechanisms. independent, fair, accessible and effective. Weaknesses in the settlement of election disputes that have been carried out so far have not fulfilled a sense of justice because dispute resolution is carried out through the Constitutional Court based on Article 24 C paragraph (1) of the 1945 Constitution, whose authority is then elaborated in Article 10 paragraph (1) of Law (UU) Number 24 2003 concerning the Constitutional Court as amended by Law Number 8 of 2011 (UU MK). Dispute resolution through the Constitutional Court in Jakarta is felt to be very burdensome for election participants because it is not in accordance with the principle of a cheap, fast and efficient trial. Election dispute settlement, which has been carried out for a maximum of 7 (seven) days, begins with the stages of receiving reports, researching, clarifying, conducting studies, and making decisions. The very limited completion time, which is a maximum of 7 (seven) days, can create a sense of injustice for justice seekers, because this short process can lead to haste in the examination which in turn creates a feeling of insecurity.
KEBIJAKAN MERDEKA BELAJAR DI PENDIDIKAN DASAR: ANALISIS IMPLEMENTASI DAN HASIL
Authors: SUPARMAN SUPARMAN , MUHAMMAD MUHAMMAD
Published: May 2024

The aim of this research is to examine 1). The concept of Independent Learning is taken from the opinions of experts taken from relevant references, 2). The Independent Learning Policy launched by the government through the Ministry of Education and Culture, 3). Implementation of the Independent Learning Curriculum as a step in implementing it in Elementary Schools, 4). Independent Learning Curriculum Structure in Elementary Schools. This research also explains the development of the implementation of the Merdeka Mandiri Curriculum in Elementary Schools. The Government through the Ministry of Education, Research and Technology provides implementation options including: Implementation of the Merdeka Mandiri Learning Curriculum, Implementation of the Merdeka Mandiri Curriculum to Change and Implementation of the Mandiri Sharing Curriculum. The method used in writing this article is to use literature study using various types of scientific article sources from various journals to look for theories and supporting data.
ABSTRAKTujuan dari penelitian ini adalah mengkaji 1). Konsep Merdeka Belajar yang diambil dari pendapat para ahli yang diambil dari referensi yang relevan , 2). Kebijakan Merdeka Belajar yang dicanangkan oleh pemerintah melalui Kemendikbudristek, 3). Implementasi Kurikulum Merdeka Belajar sebagai langkah penerapan di Sekolah Dasar, 4). Struktur Kurikulum Merdeka Belajar di Sekolah Dasar. Dalam penelitian ini juga dijelaskan pengembangan Implementasi Kurikulum Merdeka Mandiri di Sekolah Dasar, Pemerintah melalui Kementerian Pendidikan Riset dan Tekhnologi memberikan pilihan pengimplementasian antara lain: Implementasi Kurikulum Merdeka Mandiri Belajar, Implementasi Kurikulum Merdeka Mandiri Berubah dan Implementasi Kurikulum Mandiri Berbagi. Metode yang digunakan dalam penulisan artikel ini adalah menggunakan studi literatur dengan menggunakan berbagai jenis sumber artikel ilmiah dari berbagai jurnal untuk mencari teori serta data yang mendukung.
DISTÚRBIOS METABÓLICOS CAUSADOS DURANTE A OBESIDADE INFANTIL E SEU IMPACTO NO DESENVOLVIMENTO
Authors: Pereira Lorena Benevides , Xavier Crisia Cerqueira
Published: May 2024

A problemática da obesidade infantil destaca-se por suas causas multifatoriais, que envolvem fatores genéticos, metabólicos, nutricionais, psicossociais, ambientais e mudanças no estilo de vida. A obesidade pode ser classificada em exógena, relacionada a fatores socioambientais, e endógena, relacionada a fatores genéticos e hormonais. A ingestão descontrolada de alimentos é apontada como uma das principais causas da obesidade, contribuindo para um desequilíbrio energético entre a ingestão de calorias e o gasto energético diário. O presente estudo teve como objetivo avaliar a temática da obesidade infantil, como são relevantes e pertinentes, pois abordam a condição de saúde complexa, ao mesmo tempo em que buscam mitigar os efeitos adversos e metabólicos no crescimento e desenvolvimento infantil. É significativa a abordagem abrangente da complexidade da obesidade, enfatizando suas causas multifatoriais, o impacto na saúde, especialmente na infância, e a importância da intervenção nutricional e de mudanças no estilo de vida para o tratamento e prevenção dessa condição, com isso, há uma contribuição para uma compreensão mais completa da obesidade, ajudando a orientar melhor o tratamento e a prevenção da obesidade infantil. O estudo foi realizado através de uma revisão literária, nas buscas ultilizou-se como banco de dados artigos científicos e publicações que fizessem referência ao tema proposto, dos quais se encontram nas bases de dados da Scielo, Lilacs, Medline, PubMed e Google Acadêmico. Além disso, a obesidade infantil é influenciada por fatores externos, como inatividade física e acesso a alimentos industrializados, e fatores internos, como hereditariedade e alimentação inadequada. No contexto, destaca-se o papel dos pais e responsáveis na formação dos hábitos alimentares das crianças e a disponibilidade de alimentos industrializados, ricos em açúcar, gorduras e sal, contribui para o aumento da obesidade nessa faixa etária. A intervenção nutricional é essencial no tratamento da obesidade, incluindo uma alimentação adequada e individualizada, estímulo à prática de exercícios físicos e mudanças comportamentais. Investigar e compreender os fatores que influenciam a obesidade pode não só ajudar a perda de peso, mas também prevenir uma série de outras doenças. Este estudo examinou um tema de grande preocupação na saúde pública global: o aumento da obesidade infantil. As análises dos artigos revisados indicam que as mudanças no estilo de vida e nos padrões alimentares têm impulsionado esse aumento. A situação piora quando as crianças adotam hábitos sedentários, com pouco ou nenhum exercício físico em sua rotina diária, combinados com uma dieta desequilibrada, alta em gorduras e carboidratos.
ESTILOS DE LIDERANÇA
Authors: Belo Elisabeth Mendes , Araújo Acácia Regina Silva de , Garcia Denilson Aparecido , Melo Júnior Hermócrates Gomes , Silva Pablo Rodrigo de Oliveira
Published: May 2024

O objetivo desse trabalho é trazer os estilos de liderança que está presente na humanidade desde os primórdios. Grandes líderes deixaram marcas positivas ou negativas no mundo e na história em vários momentos, através da atuação à frente de grandes impérios e nações da antiguidade, dirigindo grandes batalhas e guerras devastadoras ou, por outro lado, promovendo o desenvolvimento humano, a justiça, a paz e a esperança. No mundo contemporâneo, não é diferente. Vimos, por exemplo, nos séculos mais recentes, pessoas comuns que se tornaram grandes ícones da humanidade pela intensidade e inteligência na arte de liderar grupos e multidões em torno de um objetivo. Adolf Hitler e o Nazismo, Nelson Mandela e o Apartheid, Papa João Paulo II, Princesa Diana, Ernesto Che Guevara e os brasileiros Getúlio Vargas e Luiz Inácio Lula da Silva são grandes exemplos de liderança impactante. Mas, vamos analisar os estilos de liderança e três tipos de líderes, para que você possa realizar uma reflexão profunda de como tem atuado perante os seus liderados (ou mesmo se você pretende ser futuramente um grande líder, e talvez já esteja sendo um).
High ice water content in tropical mesoscale convective systems (a conceptual model)
Authors: Korolev Alexei , Qu Zhipeng , Milbrandt Jason , Heckman Ivan , Cholette Mélissa , Wolde Mengistu , Nguyen Cuong , McFarquhar Greg , Lawson Paul , Fridlind Ann
Published: May 2024

Abstract. The phenomenon of high ice water content (HIWC) occurs in mesoscale convective systems (MCS) when a large number of small ice particles with typical sizes of a few hundred micrometers, concentrations of the order of 102–103 L-1 and IWC exceeding 1 g m-3 are found at high altitudes. HIWC regions in MCSs may extend vertically up to 10 km above the melting layer and horizontally up to hundreds of kilometers, filling large volumes of the convective systems. HIWC has great geophysical significance due to its effect on precipitation formation, the hydrological cycle, and the radiative properties of MCSs. It is also recognized as a hazard for commercial aviation operations since it can result in engine power loss and in the malfunctioning of aircraft data probes. This study summarizes observational and numerical simulation efforts leading to the development of a conceptual model for the production of HIWC in tropical MCSs based on the data collected during the HAIC-HIWC campaign in French Guiana in 2015. It is hypothesized that secondary ice production (SIP) in the vicinity of the melting layer plays a key role in the formation and sustainability of HIWC. In-situ observations suggest that the major SIP mechanism in the vicinity of the melting layer is related to the fragmentation of freezing drops (FFD). Both in-situ data and numerical simulations suggest that the recirculation of drops through the melting layer could lead to the amplification of SIP. However, laboratory measurements remain insufficient to support the accurate model representation of FFD conclusively. The proposed conceptual model and simulation results motivate further efforts to extend reproducible laboratory measurements.
Assessment of surface ozone products from downscaled CAMS reanalysis and CAMS daily forecast using urban air quality monitoring stations in Iran
Authors: Kaffashzadeh Najmeh , Aliakbari Bidokhti Abbas-Ali
Published: May 2024

Abstract. Tropospheric ozone time series consist of the effects of various scales of motion, from meso-scales to large timescales, which are often challenging for global models to capture. This study uses two global datasets, namely the reanalysis and the daily forecast of the Copernicus Atmosphere Monitoring Service (CAMS), to assess the capability of these products in presenting ozone's features on regional scales. We obtained 16 relevant meteorological and several pollutant species, such as O3, CO, NOx, etc., from CAMS. Furthermore, we employed a comprehensive set of in situ measurements of ozone at 27 urban stations in Iran for the year 2020. We decomposed the time series into three spectral components, i.e., short (S), medium (M), and long (L) terms. To cope with the scaling issue between the measured data and the CAMS' products, we developed a downscaling approach based on a long short-term memory (LSTM) neural network method which, apart from modeled ozone, also assimilated meteorological quantities as well as lagged O3 observations. Results show the benefit of applying the LSTM method instead of using the original CAMS products for providing O3 over Iran. It is found that lagged O3 observation has a larger contribution than other predictors in improving the LSTM. Compared with the S, the M component shows more associations with observations, e.g., correlation coefficients larger than 0.7 for the S and about 0.95 for the M in both models. The performance of the models varies across cities; for example, the highest error is for areas with high emissions of O3 precursors. The robustness of the results is confirmed by performing an additional downscaling method. This study demonstrates that coarse-scale global model data, such as CAMS, need to be downscaled for regulatory purposes or policy applications at local scales. Our method can be useful not only for the evaluation but also for the prediction of other chemical species, such as aerosols.
Assessment of the impact of dam reservoirs on river ice cover – an example from the Carpathians (central Europe)
Authors: Fukś Maksymilian
Published: May 2024

Abstract. This paper presents a method for determining the impact of dam reservoirs on the ice cover of rivers downstream of their locations based on a long measurement period (1950–2020) and synthetic-aperture radar (SAR) data. Two rivers and two sets of dam reservoirs located in the Carpathian Mountains (central Europe) were selected for this study. In order to estimate the influence of reservoirs, a logistic regression model was built to describe the relationship between the course of air temperature and the occurrence of ice cover (i.e., total ice cover and border ice) at water gauge cross sections upstream and downstream of the reservoirs. The influence of reservoirs was then defined as the differences between the number of days with ice cover predicted from air temperature and those observed at the water gauge cross sections. Additionally, the extent of the impact of the reservoirs was estimated based on SAR data (Sentinel-1) by identifying river sections downstream of the reservoirs on which total ice cover did not form despite the persistence of very low air temperatures. The study shows that dam reservoirs play an important role in decreasing the incidence of ice cover on rivers. The occurrence of ice cover as a result of reservoir operations could decrease by over 80 % in the sections immediately downstream of the reservoirs. The impact of the reservoir on river ice cover diminishes as the distance from the reservoir increases. Using SAR data, it was estimated that total ice cover did not form in sections 26–60 km downstream of the reservoirs, despite the presence of favorable thermal conditions. Based on the results of the study presented here, it can be assumed that in areas where many dam reservoirs are located, the ice regime of rivers is significantly transformed, which should be taken into account when studying river ice cover. This study also demonstrates that the logistic regression model and SAR data are useful tools for assessing the impact of dam reservoirs on river ice cover.
Wind farm layout optimisation including meandering correction and momentum conserving superposition
Authors: Sukhman Daniel , Bartl Jan , Hansen Thomas H. , Stenfelt Gloria
Published: May 2024

Abstract. This study introduces a combined analytical approach, to simulate the wake flow in large-scale offshore wind farms and forecast their power output. The developed tool, Qwyn, integrates the Ishihara-Qian single-wake model, a momentum-conserving superposition method by Zong & Porté-Agel, and a wake meandering correction by Braunbehrens & Segalini. A validation against both measurement data and Large Eddy Simulation (LES) results at the Horns Rev 1 (HR1) wind farm is performed. This demonstrates the tool’s capability in capturing the wind farm flow and power output for different wind directions. Notably, the momentum-conserving superposition method significantly enhances the accuracy of power prediction for narrow directional wind bins, while the wake meandering correction improves precision for wider bins. Subsequently, the validated computational tool is used to optimise the layout of HR1 to enhance its annual power production (AEP). By introducing a convexly shaped layout a projected 0.12 % increase in AEP when optimising for a wind rose with 72 wind bins is found. Furthermore, this study shows, that omitting the meandering correction leads to an even more convexly shaped layout without substantial change in AEP improvement.
Análise da obtenção de consentimento para coleta de dados em sites de e-commerce
Authors: Piccolo Daiane Marcela , Affonso Elaine Parra , Sant'Ana Ricardo César Gonçalves
Published: May 2024

Objetivo. A lei Geral de Proteção de Dados, aprovada no Brasil, estabelece restrições ao coletar informações online que possam ser usadas para identificar indivíduos, na qual o consentimento na coleta de dados emerge como determinação para proteção da privacidade. Nesse cenário, este artigo tem como objetivos analisar as práticas de obtenção de consentimento do usuário em relação à coleta de dados.
Método: A metodologia constituiu de uma pesquisa exploratória de caráter qualitativo; pesquisa documental por meio de análise de documento jurídico em leis e regulamentos, a fim de identificar e descrever como os sites implementam práticas de obtenção de consentimento dos usuários em relação à coleta de dados. A abordagem adotada foi a pesquisa multicaso utilizando para o estudo os 10 sites de e-commerce mais acessados no mês de março de 2022, segundo o ranqueamento do E-commerce Brasil. Para análise das práticas adotadas pelos sites, buscou-se as diretrizes propostas na Lei Geral de Proteção de Dados aprovada no Brasil. A coleta foi realizada no mês de abril de 2022.
Resultado: Observou-se que 6 (seis) dos sites analisados obtém consentimento para a coleta de dados por meio de avisos de cookies, predominando mensagens breves, mencionando apenas a melhoria da experiência do usuário e link para a política de privacidade e sem oferecer opções de personalização, dificultando a compreensão completa da coleta de dados.
Conclusões: O consentimento informado nos sites, influenciado pelas regulamentações de proteção de dados, como o GDPR na Europa e a LGPD no Brasil, tem sido abordado principalmente por meio de avisos de cookies, frequentemente limitados a um simples botão de "OK" ou "concordo", resultando em deficiências na explicitação dos tipos de cookies e opções de configuração. Essas lacunas podem gerar uma falsa sensação de controle por parte dos usuários e levar a riscos a proteção da privacidade.
Promoting nutrition literacy in children: a case study of a community partnership between a university and an elementary school
Authors: Branum Candise
Published: May 2024

Background: Health literacy outreach is commonplace within public and hospital libraries but less so in academic libraries, where it is often viewed as not integral. Academic health science libraries may collaborate with public libraries to provide public health information literacy programming or “train the trainer” sessions, but examples of academic health science librarians leading community health initiatives are still limited.
Case Presentation: This case report discusses a collaborative project between Gonzaga’s Foley Center Library, the School of Nursing and Human Physiology, and a local elementary school to promote health literacy for students and their families, led by an Academic Health Sciences Librarian. The project scope included delivering nutrition education to elementary school students and their families, but pandemic closures limited plans for in-person programming. Conversations with stakeholders led to additional project opportunities, including tabling at the local block party, collaborating on a campus visit for 5th and 6th graders, supporting middle school cooking classes, and the creation of a toolkit for elementary and middle school teachers to support curriculum about healthy body image and potential disordered eating.
Conclusion: This project demonstrates one example of how academic libraries can partner with other campus departments to support health literacy outreach in their local communities. The pandemic made planning for in-person programming tenuous, but by expanding meetings to include staff from other areas of the university, the project team was able to tap into additional outreach opportunities. This work fostered close relationships with the local elementary school, providing the groundwork for collaborative health programming in the future, though more thorough assessment is suggested for future projects.
Revitalizing medical schools in late sixteenth-century China: Lü Kun and the medical reform program in his Shizheng Lu
Authors: Jiao Kun
Published: May 2024

This article takes a glance at the medial reform program recorded in the book Shizheng Lu 實政錄 (Records of Practical Policies for Governing) by Lü Kun, a scholar-official from Ming China who was active more than 400 years ago. The Shizheng Lu is a compilation of varied policies and plans designed by Lü Kun as a local official to restore and improve administration of civic affairs. A sub-chapter in this book is devoted to the subject of public health service. Analysis of this text yields knowledge of how the local public health system in Ming China was supposed to operate, pivoting on the key role of medical schools and highlighting the severe malfunction of this system in Lü Kun’s time. The same text also sheds light on a handful of popular medical books from the era that could have been used for medical education.
Librarians' Electronic Resource Reviews Network (LERRN): a free citation database for resource reviews
Authors: Verma Louisa
Published: May 2024

Electronic resource reviews written by librarians are a valuable way to identify potential content platforms and stay current on new resources. Resource-focused articles can also assist with learning about useful features, training others, and marketing to potential user groups. However, articles evaluating or highlighting innovative uses of resources may be published in disparate journals or online platforms and are not collocated. Small or solo-staffed libraries may not subscribe to library and information sciences databases or journals that contain reviews of electronic resources. And many of these reviews or other useful articles are open access. With this in mind, the main aim of the LERRN citation database was to create a freely available citation database that brings together electronic resource reviews and other content that can assist librarians in appraising and using electronic resources.
Data Policy Finder: an easily integratable tool connecting data librarians with researchers to navigate publication requirements
Authors: Dellureficio Anthony , Willoughby Eric , Gibson Donna
Published: May 2024

The Data Policy Finder is a searchable database containing librarian-curated information, links, direct quotes from relevant policy sections, and notes to help the researcher search, verify, and plan for their publication data requirements. The Memorial Sloan Kettering Cancer Center Library launched this new resource to help researchers navigate the ever-growing, and widely varying body of publisher policies regarding data, code, and other supplemental materials. The project team designed this resource to encourage growth and collaboration with other librarians and information professionals facing similar challenges supporting their research communities. This resource creates another access point for researchers to connect with data management services and, as an open-source tool, it can be integrated into the workflows and support services of other libraries.
Üniversite Öğrencilerinde Çocukluk Çağı Travmasının Depresif Belirtiler ile Öz-Şefkat İlişkisinin İncelenmesi
Authors: SAYIN Piroz
Published: May 2024

This study aims to examine the relationship between childhood traumas and depression symptoms and self-compassion among university students. It is a quantitative study using the correlational survey model. The population of the study consists of 387 individuals aged 18 and over living in the Turkish Republic of Northern Cyprus and this sample was selected using convenience sampling method. Socio-demographic Information Form, Self-Compassion Scale, Childhood Traumas Scale and Beck Depression Inventory were used as data collection tools. The findings show that there is a positive and significant relationship between the levels of childhood traumas and depression symptoms. When the sub-dimensions were analyzed, positive and significant relationships were also found between the levels of emotional and physical abuse and neglect and depression symptoms. As the levels of childhood traumas increased, the severity of depression symptoms also increased. In addition, a negative and significant relationship was found between the levels of childhood traumas and self-compassion levels; as the levels of trauma increase, self-compassion levels decrease. In the light of these findings, clinicians should be aware that childhood traumas may increase the risk of depression and should address this issue with their patients. Early intervention and support are vital for traumatized children. In addition to treating depression, clinicians should develop treatment plans to increase their patients' levels of self-compassion. A holistic approach will support patients' emotional well-being and help them discover their inner resources. Keywords: Childhood Trauma, Depressive Symptoms, Self-Compassion
Enderunlu Hasan Yâver'in Şiir Anlayışı
Authors: TANIK Hilal
Published: May 2024

Poetics includes a poet's individual views on poetry or poetry, as well as a scientific field. In Dîvân literature, the poetics of the poet are not expressed in a precise language. The poet usually deals with information about his poetry and understanding of poetry in his poetry. In this study, the 18th century, which has an important place in classical Turkish literature. The poetics of the poet of the century, Hasan Yâver of Enderun, was tried to be explained by processing it based on ten couplets. First of all, the elements related to the understanding of poetry in Dîvân were identified, and the relevant couplets were registered. The plugged couplets are listed under the relevant items and examined and explained respectively under sub-headings. In each title, first of all, information about the article is given, what the substance means in terms of poetics and how it is the subject of poetry is explained. Finally, the couplet about the article is given with the translation into prose. Keyword: Dîvân Literature, Poetics, Understanding of Poetry, Enderunlu Hasan Yâver
Eleştirel Düşünme Kapsamında Öğretim Programlarının Düzenlenmesine Yönelik Farklı Yaklaşımların İncelenmesi
Authors: Şen Yasemin
Published: May 2024

Although thinking skills are the focus in current educational programs, the fact that students have not acquired these skills sufficiently is an indication that different variables are also effective outside the program. Student-related variables such as the student's cognitive ability; instructional (external) variables such as school, learning environment, student-teacher interaction, as well as features such as teachers' competencies and motivation, are effective in imparting critical thinking skills to the program. According to educators, in teaching thinking skills, pre-prepared plans, books can help teaching, but these alone are insufficient. Although many factors are effective in achieving the goals of educational programs, it is the teacher's qualification that is decisive in gaining critical thinking skills. Educators state that the innovations implemented in education systems are implemented and made available by teachers, and that well-prepared curriculum or learning environments will contribute to learning depending on the quality of the teacher. The teacher's knowledge about critical thinking and the expectations of the students are considered important for effective teaching. In developed countries, the in-school factor that has the most impact on student achievement, regardless of political and social conditions, is teacher qualification. Teachers who are the implementers of the program; in addition to guiding learning and facilitating learning, they are also responsible for providing high-level thinking skills, accessing information and organizing activities that lead to accurate evaluation of information. They plan and implement various teaching strategies to encourage improvements in critical thinking, problem solving, and academic achievement. Key Words: Education, Critical Thinking, Teaching Programs
Diplomacija Sjedinjenih Američkih Država i Srbi u Hrvatskoj (1989. - 1995.)
Authors: Korotaj Drača Vinko
Published: May 2024

Autor daje pregled američke politike prema SFRJ, Hrvatskoj i predstavnicima Srba u Hrvatskoj između 1989. i 1995. godine. Autor koristi različite vrste diplomatskih izvora i analizira ih kroz prizmu poststrukturalističkih pristupa povijesti međunarodnih odnosa. U tekstu autor istražuje kako su percepcija balkanskog prostora i naroda bivše SFRJ, američka autopredožba i paradigme međunarodnih odnosa oblikovale postupanja američkih diplomata poput Jamesa Bakera, Warrena Zimmermanna i Petera Galbraitha prema sukobu Hrvata i Srba.
Rola państwa w kryzysie społeczno-gospodarczym
Authors: Bartoszewicz Artur
Published: May 2024

Punktem wyjścia w badaniach przedstawionych w niniejszej monografii jest hipoteza, iż rząd RP w okresie pandemii COVID‑19 realizował politykę antykryzysową, wpisującą się w koncepcję państwa dobrobytu w warunkach społecznej gospodarki rynkowej i funkcjonowania w strukturach UE, oraz potrzebę obywateli w zakresie aktywnej roli państwa w sytuacji kryzysowej, czyli w roszczenie państwa dobrobytu. Zastosowano triangulację metod badawczych, wykorzystując: desk research, analizę informacji statystycznych i ekonomicznych, analizę aktów prawnych oraz reprezentatywne badanie społeczne. Część analiz przeprowadzono w oparciu o porównanie danych międzynarodowych. Zastosowano również multidyscyplinarne podejście badawcze odpowiadające podejściu teoretycznemu oraz wyzwaniu zrozumienia analizowanego zjawiska. Od strony teoretycznej praca wpisuje się w obszar ekonomii politycznej i zarządzania publicznego. Ekonomia polityczna jest dziedziną nauk społecznych badającą relacje pomiędzy jednostkami a społeczeństwem oraz między rynkami a państwem, przy użyciu różnorodnego zestawu narzędzi i metod zaczerpniętych głównie z ekonomii, nauk politycznych i socjologii. Ekonomia polityczna, jak wskazuje Encyclopaedia Britannica, to nauka o tym, jak państwo rozumiane jako publiczne gospodarstwo domowe jest zarządzane, biorąc pod uwagę zarówno czynniki polityczne, jak i ekonomiczne. Analiza ekonomii politycznej pozwala ocenić działalność państwa z trzech perspektyw, tj. ekonomicznej, politycznej i społecznej, co umożliwia głębsze rozumienie wielu aspektów rzeczywistości gospodarczej i polityki gospodarczej, w tym dążenia do zachowania równowagi pomiędzy siłami państwowymi a rynkowymi w perspektywie tworzenia dobrobytu narodów i szczęścia obywateli. Zarządzanie publiczne jest dyscypliną naukową w ramach zarządzania ogólnego, zorientowaną na badania w obszarze funkcjonowania i reformowania organizacji sektora publicznego, nakierowaną na skuteczne działanie tych organizacji i skuteczne realizowanie celu ich działania, jakim jest urzeczywistnianie interesu publicznego. Obiektami badań są w niej instytucje publiczne działające w różnych sferach życia publicznego – w niniejszej pracy był to szczebel centralny władzy państwowej. Przedstawione w niniejszej monografii badania wpisują się w obszar teorii kryzysów społeczno‑gospodarczych, teorii roli państwa w kryzysach społeczno‑gospodarczych i modelu interwencji pomocowej państwa dobrobytu w trakcie kryzysu. Wykorzystywana jest przy tym metodyka ekonomii behawioralnej z uwzględnieniem narzędzi nauk społecznych, w tym również reprezentatywnego badania społecznego w celu weryfikacji założeń modelu interwencji pomocowej państwa dobrobytu w trakcie realnego kryzysu na podstawie reakcji rządu RP na kryzys COVID‑19. Prowadzone badanie umożliwiło pozyskanie wiedzy o realnych opiniach i rzeczywistych zachowaniach jednostek wobec polityki gospodarczej państwa w kryzysie.
Structure and Function Analysis of the Legend of the Losung Stone in a Thousand Goa in Banuarea Village
Authors: Sari Silalahi Indah Permata , . Herlina , R Purba Asriaty
Published: May 2024

This study discusses the legend of Batu Losung, one of the folk prose stories originating from Banuarea village, Pakkat District, Humbang Hasundutan Regency, North Sumatra Province. This study discusses the analysis of the structure and function of the legend of losung, aiming to describe the intrinsic elements, the basic concepts of folklore function theory. The method used in analyzing this research problem is a qualitative method that is descriptive with field research techniques. This research uses structural theory that examines the intrinsic elements proposed by Nurgiyantoro, and function theory proposed by Wiliam R, Bascom. The results showed that there are (7) seven intrinsic elements, namely: 1) Theme: The Legend of Batu Losung A sacred place and believed by the community as a place to mix natural ingredients can cure all diseases in the human body. 2) The plot contained in the legend of Batu Losung is a forward plot because the story begins with the beginning to the end. 3) Setting: The setting is in Banuarea Village, at home, in a resting hut in the field, the time setting is in ancient times, the next day, afternoon, afternoon, the social setting in this legend is believed by the community to be a sacred place and the result of concoction of herbs that can be accepted and trusted by the community. 4) characters in the story include; Simanullang clan, Simanullang's wife, Raja, Tiur, and Saut. 5) The point of view in folklore of the legend of Batu Losung is the third person telling someone else's story. 6) linkage style. 7) The mandate of the legend of Batu Losung is mutual respect and mutual affection. The concept of the theory of the function of losung in research there are (4) four functions: 1) as a form of entertainment, 2) as a means of cultural validation, 3) as an educational tool, 4) as a means of validating cultural institutions. This legend has characteristics similar to myth, but is considered sacred, played by humans although sometimes assisted by supernatural beings. From the results of the discussion that it can be concluded that the legend of the losung stone tells about an old man named Simanullang who found the losung stone, which is an irregular long rectangle with a black to gray color, and has three stones, the three stones have different sizes. The losung stone is estimated to be more than a century old and until now it is still left alone and around the area of the losung stone has been restricted because it is not arbitrary to enter the place of the losung stone. The legend of Batu Losung is classified as a local legend and belongs to oral folklore.

Keywords: legend of losung stone, structure, folklore.
Applying Digital Technology Opportunities to Education System of Azerbaijan
Authors: Sevinj Yahya Quliyeva
Published: May 2024

One of the areas in which the development of information and communication technologies (ICT) has made the greatest contribution is education. The introduction of new technology in education increases the quality of the educational process and creates conditions for the adoption of ICT by the younger generation.
Modern technology opportunities have changed education process. It has opened new ways to a massive amount of information through online books, podcasts, images, and videos. Some years ago technology was only used for completing assignments. But nowadays it is used for various aims, from learning to communicating and collaborating.
Technology has also opened up numerous opportunities for communication and collaboration. For instance, students in a classroom in rural part of the world can learn from an article published by a other developed countries. Students can communicate through email and even have a lecture, or class virtually via video conference. Furthermore, technology has changed the role of teachers and students. Traditionally, teachers were the centre figure of the learning process, and it was called teacher-centered model. However, with the digital technology sources, information is accessible to everyone, and it gives us more chances for student-centered learning model. In this case the role of teachers is as a guide, and students try to search, to analyze the materials themselves.
Of course, the State Program implemented by the Ministry of Education regarding the electronicization of education has created a serious change in this field. During the implementation of the program, modern technological tools were installed in many schools from the capital to the regions. There is no such school that does not have a computer room for the use of students, and does not have an Internet network installed. In most of the capital's schools, the high stage of the electronicization of the educational process has begun.
The main purpose of the study is to search literature materials and policy papers about this topic and making description.

Keywords: modern education system, digital technology, ITE-Innovative technologies in Education.
Research on HCI and Interface Design in VR: Understanding Virtual Perceptions
Authors: Liping Liu
Published: May 2024

The Virtual reality (VR) affords a promising route for revolutionizing online shopping (OS) experiences, imparting human-computer interaction (HCI) and more desirable product expertise. By integrating the VR into OS platforms, users can delve deeper into product details, along with substance, shade, and different vital characteristics, thereby improving choice-making and fulfillment. This investigation specializes in knowledge of the synergy among VR and OS, utilizing structural equation modeling (SEM) to evaluate user interaction (UI) and experience (UE). Through UI achievement surveys and professional panels, insights into VR-integrated OS are collective, informing the improvement of design standards. The research focused on generating evidence-primarily based layout requirements, validating their feasibility, and assessing their impact. By emphasizing sizeable design additives, VR creators can enhance consumer enjoyment and pleasure, ultimately contributing to greater effective OS interfaces. This research presents sensible pointers for VR improvement but underscores the potential for VR to elevate overall user satisfaction in online retail environments.
Research on Assembly Sequence Planning of Hybrid Power Transmission Device Based on Improved Genetic Algorithm
Authors: Liyong Zhang
Published: May 2024

Aiming at the complex optimisation problem involved in the assembly process of DM-i hybrid system, an improved genetic algorithm based on the assembly sequence planning problem is proposed to be investigated. Two matrices, assembly priority and assembly space interference, are used to constrain the assembly relationship of parts, and the feasibility, optimality and flexibility of assembly are considered; the initial population of the genetic algorithm is optimised in terms of algorithmic improvement, and inverse learning is used to generate the initial population and an elite inverse learning mechanism is introduced to avoid the algorithm from falling into a local optimal solution; the search strategy of the algorithm is improved, which consists of four main steps, i.e., binary tournament selection, partial matching crossover, exchange mutation and elite individual retention strategy. The feasibility and superiority of the proposed improved genetic algorithm in solving the assembly sequence planning problem of DM-i hybrid system are verified by example algorithms and on-site assembly verification.
YOLOv8 based fish detection and classification on fishnet dataset
Authors: Omkar Mahajan
Published: May 2024

The research examines the marine fishing sector and highlights the urgent need for an electronic monitoring system designed to meet the unique needs of fishermen. The initiative’s motive is emphasized in the paper, which highlights how cutting-edge technology like object detection and tracking could revolutionize the fishing industry when integrated into an electronic monitoring framework.  The research proposes an electronic monitoring system based on YOLOv8 (You Only Look Once) as a comprehensive solution to address current issues, such as out-of-date data collection methods and a lack of guiding applications. The review of the literature, which highlights gaps in the current fishing applications, is an important component of the paper. The research is geared towards training an object detection model on the fishnet dataset. The focus is on data processing created by an electronic monitoring system to rectify the current state of the fishing industry’s deficiencies.
An Improved Feature Removal Approach for Classification of High Dimensional Feature Dataset
Authors: Hardikkumar Harishbhai Maheta
Published: May 2024

Extracting and evaluating pertinent information in a high-dimensional feature set is extremely difficult when dealing with a high-dimensional feature space. Classification methods require additional training time to generate a classification model. Every feature is not equally relevant in a high-dimensional feature collection. As a result, feature selection is a productive method for identifying vital features and eliminating unnecessary ones. Feature selection serves as a method of pre-processing before classification. It decreases the dimension of the dataset to shorten the training period required to develop a classifier. This research study aims to propose a novel feature subset selection method that establishes the relative importance of each feature using several criteria. The proposed approach ranks available features from high to low using a variety of feature-ranking approaches. Different feature ranking algorithms perform differently on the same dataset. It is challenging to obtain robust performance with just one feature ranking algorithm. To overcome this problem, we have used the Schulze rank aggregation method. The Schulze method combines multiple feature ranking techniques to assign a rank to each feature inside the dataset. This study presents an optimization strategy for heuristic search based on the backward feature removal method. It eliminates features according to the rank determined by the Schulze rank aggregation technique. In this paper, we evaluated the performance of the proposed method against the current state-of-the-art feature ranking techniques for high-dimensional feature set classification.
Optimal Deployment of DGs, DSTATCOMs and EVCSs in Distribution System using Multi-Objective Artificial Hummingbird Optimization
Authors: Varun Krishna Paravasthu
Published: May 2024

Distribution systems have a lot of obstacles to deal with, like increasing load demands, environmental issues, operating limits, and infrastructure development limitations. On the other hand, the number of plug-in hybrid electric vehicles (PHEVs) has grown significantly in recent years and is likely to continue due to concerns over the environment and fossil fuel shortages. Due to the increasing use of PHEVs, distribution systems were not built to accept them, requiring planners to create parking lots that support PHEV charging. To address these issues, in this study, optimal planning of distributed generation (DG) and electric vehicle charging stations (EVCS) in radial distribution systems by the maiden application of a novel Pareto-based multi-objective artificial hummingbird optimization (MOAHO) algorithm is addressed. Three technical aspects of the distribution system are improved by optimal planning of various types of DGs and EVCSs: active power loss reduction, total voltage deviation minimization, and voltage stability improvement. The Pareto-based MOAHO is employed to generate the optimal front between the three competing objectives and later TOPSIS method is employed for selecting the most compromised solution from the optimal front. The proposed methodology is tested on IEEE-33, IEEE-69  bus radial distribution test systems. To validate the efficacy of the MOAHO algorithm, the simulation outcomes of the proposed methodology are generated using a multi-objective non-dominated sorting genetic algorithm (NSGA2), particle swarm optimization algorithm (PSO), grey wolf optimization algorithm (GWO) and compared with the outcomes of the MOAHO algorithm.
A Novel Improved Framework for Multiclass Rice Disease Detection using Deep Learning
Authors: Sanam Salman Kazi
Published: May 2024

The rice yield is poorly impacted due to lack of expertise in identifying the rice diseases in the field. Deep learning architectures are applied for classification of different crop diseases in some studies but they suffer performance degradation, less accuracy and overfitting posing a challenge for implementation in the real rice fields. To overcome the above challenges this study aims to propose a novel framework by fusing Visual Geometry Group16 (VGG16) with Convolutional Neural Network (CNN). The improved framework consists of 18 layers. The Convolution layer is added after pretrained VGG16 with max pooling layer to prevent overfitting. The set of optimal hyperparameters applied to the proposed framework is obtained through rigorous experimentation. The batch normalization and dropout layers are added with focus on improving accuracy and preventing overfitting. The proposed framework is evaluated in two stages. In stage 1 the proposed framework is compared with fine-tuned state-of-the-art VGG16, Inceptionv3, GoogLeNet, Resnet50, DenseNet121 and MobileNetV2. For stage 2 comparative analysis transfer learning models are optimized and compared. The proposed improved framework outperforms all the above-mentioned models in both the stages of comparative evaluation achieving the testing accuracy of 99.66%. The proposed framework performs without any sign of performance degradation and overfitting when tested on different datasets.
The Effect of Combined Synthetic Tabular Data Generated Using CTGAN Model with Actual Data on Performance of DHF, Varicella, and COVID-19 Recognition Model
Authors: Husni Iskandar Pohan
Published: May 2024

There are several quickly spreading illnesses such as DHFs spread by mosquitoes, COVID-19 spreads through respiratory droplets and contact with contaminated surfaces, and Varicella spreads by direct touch. The transmission rate of these diseases can be reduced if medical services can identify them early. However, the performance of the prediction model based on the machine learning approach is limited by the availability of labelled patient datasets.  This study showed some empirical evidence of the use of synthetic data generated using actual medical records as the basis to improve the performance of the prediction model. The empirical results showed that the Decision Tree algorithm which is trained using a mixed synthetic and actual dataset can achieve 91.98% average accuracy which is higher than model performance which is trained using real dataset only. The results of model interpretation using Shapley Additive Explanations have the advantage of measuring the overall dominant features and indicating that the top five most important features are Thrombocyte, Temp, Cough, Spot, and Nauseous .