bluuebunny/crossref_metadata_2025 huggingface dataset:
Unveiling the Complex Mechanism of Short Video Addiction on English Learning Engagement and Burnout among College EFL Students
Authors: Kuilong Huang
Published: January 2025

In the digital era, short-video apps offer students copious learning resources and entertainment. However, short-video addiction has become a notable concern. Based on Media Dependence Theory and Social Cognitive Theory, this research explored how short-video addiction affects English learning engagement and burnout, with English academic self-efficacy as a mediator. Electronic questionnaires were administered to 500 college EFL students in Guangxi, China, and data analysis was conducted with SPSS and SmartPLS. Results showed that : (1) short-video addiction had no direct impact on English learning engagement but significantly and directly contributed to English learning burnout;(2) English academic self-efficacy mediated the relationships between short-video addiction and both learning engagement and burnout. Overall, this study uncovers the intricate connections among short-video addiction, English learning engagement, burnout, and English academic self-efficacy. Theoretically, it enriches the two theories by offering fresh perspectives on how emerging media influence learning behaviors. Practically, to boost college students' English learning engagement and reduce burnout, we should not only address short-video addiction but also focus on cultivating their English academic self-efficacy.
Optimizing Energy Efficiency and Comfort in Rural Self-Built Housing: A Comparative Study of GA and EA Algorithms
Authors: Chen Chen , Wang Huifang , Li Dayao
Published: January 2025

With the growing global focus on sustainable building design, reducing energy consumption and carbon emissions in buildings has become a critical research topic. This study explores the variations in electricity consumption, carbon emissions, and comfort levels influenced by building design parameters, and compares the applications of Genetic Algorithm (GA) and Evolutionary Algorithm (EA) in building optimization. The research is based on a Private residence in Huzhou, Zhejiang Province, where actual data were collected, including wall-to-window ratio, heating set point, cooling set point, roof shading coefficient, equipment power density, airtightness, and thermal transmittance of external walls, to construct a detailed building model. During the optimization process, DesignBuilder software was utilized for modeling, and both GA and EA optimization algorithms were implemented. The simulation results show that GA outperforms EA in terms of convergence speed, stability, and balancing multiple objectives. Specifically, GA reduced the annual electricity consumption from 862.26 kWh to 825.32 kWh, a 4.28% decrease, with the standard deviation dropping from 287.61 to 275.43 (a 4.25% improvement in stability). Discomfort time was significantly reduced by 31.56%, from 1030.2 hours to 705.12 hours, with substantial reductions in both standard deviation and interquartile range (IQR). Carbon emissions decreased from 552.62 kg to 533.86 kg, a 3.39% reduction, highlighting the potential for emission reduction. The results indicate significant differences between the two algorithms in optimizing building energy consumption, reducing carbon emissions, and enhancing comfort levels. GA demonstrates advantages in convergence speed and result accuracy, while EA excels in solution diversity and global search capability. Ultimately, this paper presents optimization recommendations based on both algorithms, aimed at providing a reference for future sustainable building design.
Die Realisierung von Wetter-Klima-Konversationen über räumliche & zeitliche Distanzen : Eine alltagssoziologische Ethnographie des Sprechens
Authors: Zimmermann Philipp
Published: January 2025

Die vorliegende Forschungsarbeit untersucht alltägliche Konversationen über Wetter- und Klimaphänomene über räumliche und zeitliche Distanzen. Anknüpfend an die theoretischen Prämissen des prozessualen ‚im-Wetter-Seins‘ (Ingold), die Wirkmächtigkeit geologischer Faktoren (Latour) und die Regelgeleitetheit sozialer Interaktionen (Sacks) wurde die Analyse erarbeitet. Diese fokussiert darauf aufbauend die sequentielle wie praxeologische Strukturiertheit der Wetter-Klima-Konversationen. Die Members vollenden die Wetter-Klima-Konversationen stets auf der Ebene der Vergemeinschaftung (‚unser‘) und überbrücken ihre raumzeitliche Distanz, indem sie ihre Eindrücke in Form von ‚mein‘ und ‚dein‘ Aussagen artikulieren. Vorgestellt wird ein Telefonat zwischen Kind und Mutter über Wetterimpressionen und damit verknüpfte Anekdoten (Feldnotiz 1); ein Aushandeln am Telefon zwischen zwei Freund*innen darüber, ob die Hitze in der Stadt durch ortsgebundene Wetterfaktoren oder zeitliche Klimafaktoren erklärt werden kann (Feldnotiz 2); sowie ein Abwägen zwischen Wettervorhersagen und tatsächlich eingetretenen Wetter- bzw. Klimaphänomenen beim Frühstück in der WG zwischen zwei Mitbewohner*innen (Feldnotiz 3). Abschließend werden zentrale Regelmäßigkeiten in der Analyse von Wetter-Klima-Konversationen dargestellt sowie auf die gesellschaftliche Relevanz der Fallstudie verwiesen.
The impact of security and privacy perceptions on cryptocurrency app evaluations by users: A text mining study
Authors: Juma’h Ahmad , Alnsour Yazan , Kartal Hasan
Published: January 2025

This study examines how perceived security and privacy influence user ratings of cryptocurrency applications, which are critical for adoption and satisfaction amid the growing popularity of blockchain technologies and rising concerns over information security in online platforms and mobile apps. The study focuses on mobile applications from the Android app market. It used text mining methods to investigate over 64 thousand text-based user reviews and star ratings of over 140 cryptocurrency-related mobile applications available in the Google Play store. Using a partially supervised machine learning approach, this study first identified reviewer sentiment related to privacy and security, then employed ordinal regression analysis to examine the data to reveal the relationship between perceived security threats, privacy concerns, and app ratings. This study found that crypto apps average 3.84 out of 55 stars, which is higher than Productivity apps (3.46) but lower than FinTech (4.29) and Banking (4.25) apps. Ordinal regression analysis revealed security and privacy threats negatively impact ratings, while robust security measures improve them, with a model Pseudo R² of 0.25. These results have implications for both cryptocurrency app developers and platform managers, offering insights for enhancing user experiences and informing future research endeavors in this domain. It contributes to the literature by integrating the Protection Motivation Theory with sentiment analysis and provides a structured framework for developing an understanding of user behavior in the context of cryptocurrency apps.
Jean Baudrillard’ın Simülasyon Evreninin Film Simülakrları: David Fincher Sinemasından Üç Örnek
Authors: Doğan Emre , Altınkaya Murtaza Talha
Published: January 2025

Jean Baudrillard yaratıcısı olduğu simülasyon kuramında İkinci Dünya Savaşı sonrası Batı dünyasının simülasyon evreni ismi verilen yeni bir toplumsal düzene geçiş yaptığını, bu evrende gerçeğin öldüğünü ve yerine ona çok benzeyen simülakrların geçtiğini iddia etmiştir. Politikadan bilime, gündelik yaşam pratiklerinden medyaya pek çok mecrada eleştiri ve çözümleme yapan Baudrillard’ın metinleri içinde en çok değindiği konulardan biri de kendi ifadesiyle kusursuz cinayete kurban giden sanattır. Başta modern sanat olmak üzere sanat ve sanat dünyası temelinde gerçekleştirdiği eleştirilerinde sinemaya da yer veren Baudrillard, sinematografik illüzyonun kusursuzlaştırma yoluyla kaybedildiğini ve sinema filmlerinin adına film simülakrları denilebilecek bir tür sinema simülasyonuna dönüştürüldüğünü söylemiştir. Bu makalenin amacı, Amerikalı yönetmen David Fincher’ın Zodiac (2007), Sosyal Ağ (The Social Network, 2010) ve Ejderha Dövmeli Kız (The Girl with the Dragon Tattoo, 2011) filmlerini, Baudrillard felsefesinin sinemasal ve sinematografik bir çıktısı olarak düşünülebilecek film simülakrları kavramı üzerinden çözümlemek ve bu filmler üzerinden Fincher sinemasının Baudrillardcı bir eleştirisini yapmaktır. Çalışma deskriptif yöntemle kaleme alınmış, örneklemi oluşturan filmlerde ise film eleştirisi yaklaşımlarından mizansen eleştirisi kullanılmıştır. Çalışmada elde edilen sonuç, Fincher filmlerinin mizansen unsurları nedeniyle Baudrillard’ın simülasyon kuramı çerçevesinde ifade ettiği sinema eleştirilerinin bir çıktısı olan film simülakrları kavramının somut örnekleri olduğudur.
Büyükelçilik Raporlarına Göre Sovyetler Birliği’nin Türkiye’ye Bakışı (1950-1960)
Authors: Tekinsoy Betül
Published: January 2025

Sovyetler Birliği’nin I. Dünya Savaşı sonrasında Batılı devletlerin işgallerine karşı yürütülen Türk Millî Mücadelesine verdiği destek, her iki devletin yakınlaşmasını sağlayan önemli bir adım olmuştur. 1925 yılında imzalanan ve II. Dünya Savaşı’nın sonuna kadar geçerliliğini koruyacak olan Dostluk antlaşması ise iyi komşuluk ilişkilerinin uzun yıllar devam etmesini sağlamıştır. Ancak Türkiye’nin 1930’lu yıllardan itibaren Batılı devletlerle sorunlarını çözerek yakınlaşmaya başlaması, Türkiye Sovyetler Birliği ilişkilerinin gerilemesine, II. Dünya Savaşı’nın başlaması ise bozulmasına neden olmuştur. II. Dünya Savaşı sırasında ve sonrasında olumsuz bir seyir izleyen ilişkiler, Sovyetlerin Boğazlardan üs verilmesi ve toprak talepleri yönündeki istekleri ile kopmuş ve Türkiye, Sovyetleri bir tehdit unsuru olarak algılamaya başlamıştır. Bu durum, Türkiye’nin Batı bloğuna yönelerek, NATO başta olmak üzere bir takım askeri teşkilatlara üye olmayı amaçlamasına neden olacaktır. Sovyetler her ne kadar Stalin’in ölümünden sonra Türkiye ile yakın münasebetler kurmak istese de Türkiye 1960’lı yıllara kadar Sovyetlere karşı temkinli yaklaşmıştır. Çalışmamızda 1950-1960 yılları arasında Türk-Sovyet ilişkileri ve Sovyetlerin Türkiye’ye bakışı Dışişleri Bakanlığı’na gönderilen Büyükelçilik raporları başta olmak üzere diğer elçilik ve kurumlardan gönderilen raporlar çerçevesinde ele alınmıştır. Dışişleri Bakanlığı Türk Diplomatik Arşivinde yer alan Türk Dışişleri Bakanlığı ile Büyükelçilikler arasındaki yazışmalar temel kaynak olarak kullanılmış olup ayrıca dönemle ilgili kaleme alınan telif ve tetkik eserler de istifade edilen diğer kaynaklar arasında yer almıştır.
The Ghost of a General on a White Horse: The Political Use of the Image and the Anticipation of the Russian Civil War in 1917
Authors:   European University at St. Petersburg, Tarasov K. A.
Published: January 2025

The article examines the usage of the term “general on a white horse” in the political language of the
Russian Revolution. Its meaning was influenced by Christian motifs, popular culture, ceremonies of the Tsarist
era, and visual images of Napoleon Bonaparte. The image of the “general on a white horse” emerged in public
speeches and the press after the revolution and became associated with authoritarianism, mass repression, and
a possible return to the Tsarist era. Unlike the images of Napoleon prevalent in the press, the general on a white
horse carried exclusively negative connotations. Revisiting this image during political crises, various political forces
made it a symbol of a potential dictator’s rise and the demise of democratic freedoms. The image was used to
influence the government, unite political parties and society, as well as to accuse and immobilize opponents. Although
different individuals such as A. F. Kerensky, L. G. Kornilov, and A. M. Kaledin were referred to as the “general
on a white horse” at different times, the image represented a warning of a potential threat rather than a specific
associated person. It is important to note that as early as 1917, a shorter form of the expression, “white general”,
began to be used by various actors. In this sense, it referred to the potential arrival of a dictator, and during
the Russian Civil War, it became a common term for anti-Bolshevik figures such as L. G. Kornilov, A. I. Denikin,
P. N. Wrangel, and others. The usage of the image of the general on a white horse / white general in 1917 became
part of the cultural preparation for the Civil War. It came to embody absolute evil and existential threat.
Military Production and the Workforce of the Morozov Plant during the Great Patriotic War
Authors:   Herzen State Pedagogical University of Russia, Davydov A. Yu. , Balandina O. A. ,   Central state archive of historical and political documents of Saint-Petersburg
Published: January 2025

The article deals with the activities of the labor collective of the Order of the Red Star of Morozov
Plant no. 6 on the eve and during the Great Patriotic War. Its number, composition, problems of everyday life are
investigated; attention is paid to production processes. An attempt is made to identify the system of moral values
that united the collective into a single community during the hard times. The named enterprise played a significant
role in the organization of the military economics of the Leningrad region. Meanwhile, there are no separate works
devoted to analyzing the procedures of the plant’s functioning in 1941–1945. The authors of this article set out to
fill this gap. They relied on the complexes of unexplored (or poorly studied) documents found in the following
facilities of the Central State Archive of Historical and Political Documents of Saint Petersburg: the collective of
the All-Union Communist Party of (Bolsheviks) of the Morozov Plant, the primary Komsomol organization of the
state-owned Morozov Plant, the Leningrad Regional Committee and Urban Committee of the Party; other valuable
materials were also analyzed. Identifying a number of significant shortcomings inherent in the disciplinary
practices established at the plant before the war, the authors pay attention to the manifestations of consolidation
of the factory workers during the war period into a comradeship aimed at overcoming organizational defects and
capable of promptly responding to threats. The work traces how the labor collective adapted to the challenges
posed by the harsh times, each of which is characterized in separate sections of the text. Adaptive practices led to
the emergence of a style of effective interaction between management staff and workers.
Assessing potential hazard of zinc oxide nanoparticles to human health
Authors:   Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya St., Perm, 614045, Russian Federation, Stepankov М.S. , Zemlyanova М.А. ,   Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, 82 Monastyrskaya St., Perm, 614045, Russian Federation,   Perm State University, 15 Bukireva St., Perm, 614068, Russian Federation
Published: January 2025

Wide implementation of nanomaterials in various economic activities and associated contamination of environmental objects create health risks for workers and general population. Nanoparticles have physiochemical properties that are different from their micro-sized analogues, which may cause more pronounced negative effects upon intake. In this regard, assessment of safety of nanoindustry products is an urgent hygienic problem and the basis for developing recommendations aimed at minimizing health risks.

The aim of the study was to assess potential hazards of a nanomaterial for human health using zinc oxide nanoparticles (ZnO NPs) as an example.

Potential hazard of ZnO NPs was assessed using a set of indicators based on implementation of the predictive-analytical procedure in accordance with MR 1.2.2522-09.

The analysis of ZnO NPs properties indicates that they belong to nano-sized particles (from 6 to 100 nanometers). During cell membrane penetration, ZnO NPs were shown to stimulate greater production of free radicals that cause damage to supramolecular structures. They transform proteomic profile and metabolic reactions changing the expression of proteins that regulate the integrity of cytoskeleton, nuclear matrix and apoptotic process, which leads to cell death. Cellular and molecular changes are manifested through morphofunctional tissue impairments in tissues organs where ZnO NPs bioaccumulate (the liver, kidneys and lungs). Negative effects are manifested as redox imbalance, cytolysis, impaired filtration processes, weaker cellular immunity and, as a consequence, developing inflammatory, dystrophic and necrotic processes. Implementation of the predictive-analytical procedure showed that ZnO NPs are potentially highly hazardous for human health (according to the hazard coefficient D = 2.102).

High potential hazard for human health indicates that it is necessary to investigate remote and specific effects of ZnO NPs in order to perform complete hygienic assessment of their safe levels. This will allow achieving more effective development of preventive measures aimed at minimizing health risks caused by ZnO NPs for workers and general population.
Termorregulação da bolsa escrotal associada à qualidade do sêmen de caprinos na região Semi-árida
Authors:   , Costa Leonardo Lelis de Macedo
Published: January 2025

Avaliou-se a Termorregulação da bolsa escrotal associada à
qualidade do sêmen de caprinos manejados nas condições meteorológicas do semiárido.
Foram utilizados 10 caprinos. Foram realizadas 5 observações, com 4 dias de
intervalo entre elas. Formou-se 5 grupos, onde cada grupo era coletado em horas
distintas (8, 10, 12, 14 e 16h). As temperaturas da superfície cutânea do corpo
(TSPSC) e da bolsa escrotal (TSPBE) e retal e freqüência respiratória foram
registradas. A perda de calor por evaporação cutânea foi mensurada a partir do
analisador de H2O/CO2, no corpo foi utilizada uma cápsula ventilada e na bolsa
escrotal foi desenvolvida uma cápsula ventilada adaptada para esta região. A área
da bolsa escrotal foi determinada através de análise de regressão. O sêmen foi
colhido através de uma vagina artificial e avaliado macro e microscopicamente.
Foram registradas a irradiância, velocidade do vento e temperaturas do ar, do bulbo
úmido e do globo negro. A análise estatística foi baseada no método dos quadrados
mínimos. Para análise da qualidade do sêmen foi utilizado um delineamento
quadrado latino 5x5. A TSPSC 34,5 ±0,92ºC e TSPBE foi 33,5 ±0,36ºC,
demonstrando diferença de 1 ºC entre estas regiões. A perda de calor latente foi de
57,3 ±18,0W.m-2 para a superfície do corpo e de 49,4 ±15,0 W.m-2 para a bolsa
escrotal. O semên foi considerado de boa qualidade em todos os horários e dias de
coleta. Cocluiu-se que a diferença ente as temperaturas de superfícies deriva de uma
associação de mecanismos que envolve a termorregulação da bolsa escrotal e que os
animais podem ser utlizados para reprodução a qualquer hora do dia.
Avaliacão qualitativa de carnes de catetos (tayassu tajacu) e cutias (dasyprocta aguti) criados em cativeiro no semi-arido nordestino
Authors:   , Barbosa Polyanna Dantas Fernandes de Sousa Freitas
Published: January 2025

Foram coletadas e avaliadas físico-quimica e microbiologicamente oito amostras de carne de
catetos (Tayassu tajacu) e treze de cutias (Dasyprocta aguti). Nas análises foram utilizados 08
carcaças de catetos e 13 de cutias todos criados em cativeiro de forma intensiva. As carnes
foram testadas quanto à umidade, matéria seca e minerais; nas analises microbiológicas
pesquisou-se a presença de enterobactérias, Staphylococcus e bactérias mesófilas. Na
determinação de matéria seca a média dos resultados foi de 26,87±1,1% para cutias e
29,17±1,54% para catetos. Na análise de minerais obteve-se uma média de 4,84±0,87 para
catetos e 4,72±0,37 para cutias. Para a determinação da umidade as amostras de cateto
apresentaram 70,83% e de cutia 73,13%. Na análise de enterobactérias as amostras de cateto
apresentaram média de 1,57 log 10 UFC/g e as de cutia 1,5 log10 UFC/g. Na determinação de
Staphylococcus coagulase positivos as amostras apresentaram média de 1,57 log10 UFC/g e
1,55 log10 UFC/g para catetos e cutias respectivamente. Para as bactérias mesófilas as
amostras de cateto apresentaram média de 1,72 log10 UFC/g, e as de cutia apresentaram uma
média de 1,77 log10 UFC/g. Portanto os resultados físicos químicos foram satisfatórios
quando comparados com animais da mesma ordem e no microbiológico houve baixa
contaminação indicando que o produto apresenta boa qualidade.
Avaliação da qualidade da carne-de-sol produzida e comercializada em municípios do Rio Grande do Norte
Authors:   , Gurgel Teresa Emanuelle Pinheiro
Published: January 2025

Foram avaliadas a qualidade da carne-de-sol no período de junho a setembro de 2010 comercializada em cinco cidades do Rio Grande do Norte Mossoró, Apodi, Areia Branca, Baraúna e Grossos. Sendo coletadas 80 amostras de carne-de-sol, as quais 44 foram provenientes de estabelecimentos de pequeno porte e 36 adquiridas em supermercados e frigoríficos. As amostras foram submetidas à análises microbiológicas Salmonella, determinação do número mais provável de coliformes termotolerantes, bactérias halofílicas e Staphylococcus aureus, as amostras positivas para esta bactéria foram submetidas à análise de resistência à antibióticos; e físico-químicas (pH, atividade de água, cinzas e umidade). Verificou-se interação dos fatores intrínsecos, pH (µ=5,702) e Aa (µ=0,868), do produto com a contagem bacteriana, indicando ambiente favorável para a sua multiplicação, resultando assim em valores que sobressaíram de maneira significativa o que está previsto na legislação para contagem de S. aureus (µ=4,81LogUFC, em 78,75%), Salmonella (presença em 25%) e coliformes termotolerantes (µ=2,36LogNMP/g, em 63,75%). Houve correlação significativa (p<0,05) entre a contagem de bactérias halofílicas (µ=4,87LogUFC) e a de S. aureus, podendo aquelas serem utilizadas como indicador de contaminação na carne-de-sol. Quanto à sensibilidade das cepas S. aureus aos antibióticos, 22,5% das cepas apresentaram resistência à gentamicina, enquanto para penicilina G, tetraciclina e cloranfenicol foram 100%, 67,5% e 46,26% respectivamente. Ficou constatado que a carne de sol produzida e comercializada na região estudada apresenta-se imprópria (96,25%) para o consumo de acordo com a legislação brasileira.
Avaliação da qualidade do leite bovino produzido em propriedades leiteiras no semi-árido do Rio Grande do Norte, pelas boas práticas de produção
Authors:   , Souza Carlos Henrique de
Published: January 2025

Objetivou-se avaliar a qualidade do leite bovino após aplicação das Boas Práticas de Produção (BPP) em 10 propriedades leiteiras, localizadas no semi-árido do Rio Grande do Norte, de agosto a novembro de 2009. Foram realizadas análises físico-químicas através de análises ultrassônica e microbiológicas, verificando a ocorrência de coliformes totais e termotolerantes e bactérias mesófilas. O trabalho foi conduzido em duas etapas. Na primeira foram coletadas amostras de leite sem orientação aos produtores sobre as BPP, na segunda, os produtores receberam orientações sobre as BPP como, eliminação dos três primeiros jatos de leite, utilização do teste da caneca telada, limpeza dos tetos com água clorada, secagem dos tetos com papel toalha antes da ordenha e utilização de peneira na boca do latão de leite na propriedade. No que diz respeito às análises físico-químicas, verificou-se que 93,4% das médias de gordura, extrato seco desengordurado e proteína, apresentaram-se dentro dos padrões estabelecidos pela legislação vigente. Quanto aos aspectos microbiológicos não foi observada diferença significativa em relação aos coliformes totais e termotolerantes antes e após as BPP. Entretanto, nas contagens de bactérias mesófilas encontrou-se uma redução significativa (P > 0,01) após o uso das BPP. Comprovando portanto, a importância da utilização das BPP na melhoria da qualidade do leite bovino produzido no semi-árido brasileiro.
The Effect of GRDP, Minimum Wages, and Education on Workforce Absorption in Regencies and Cities in East Java
Authors: Ruslan Widya Devina Amelia Putri , Devanto Shasta Pratomo
Published: January 2025

Workforce absorption is the number of jobs filled, reflected in the large number of working people. The absorption of the population into work caused by the large demand for labor. Therefore, workforce absorption can be said to be the demand for labor. This research aims to determine the influence of GRDP, Minimum Wage, and Education on Workforce Absorption in Regencies and Cities of East Java Province in 2017-2020. The method used is a quantitative method using Eviews as a tool for testing data. The results of this research can be concluded that GRDP (X1) has a positive and insignificant effect on workforce absorption, Minimum wage (X2) has a positive and significant effect on workforce absorption, and Education (X3) has a positive and significant effect on workforce absorption.
The Effects of Government’s Role on Convergence Acceleration in Indonesia
Authors: Vania Mia , Santoso Dwi Budi
Published: January 2025

This study aims to determine the influence of government roles through expenditures in education, health, and development sectors on the acceleration of convergence in Indonesia. The data used is panel data covering 33 provinces from 2010 to 2022. The method employed in this research is panel data regression with a convergence model. The variables used include education expenditure, health expenditure, and development expenditure. The results of the study indicate that the variables of education expenditure, health expenditure, and development expenditure have no effect on accelerating convergence. In addition, the three variables have no effect on economics growth.
 
Abstrak
Penelitian ini bertujuan untuk mengetahui pengaruh dari peran pemerintah melalui pengeluaran di bidang pendidikan, kesehatan, dan pembangunan terhadap percepatan konvergensi di Indonesia. Data yang digunakan merupakan data panel meliputi 33 provinsi dari tahun 2010-2022. Metode yang digunakan dalam penelitian ini merupakan regresi data panel model konvergensi. Variabel yang digunakan antara lain belanja pendidikan, kesehatan, dan pembangunan. Hasil dari penelitian menunjukkan variabel belanja pendidikan, belanja kesehatan, dan belanja pembangunan tidak berpengaruh terhadap percepatan konvergensi. Selain itu, ketiga variabel tersebut tidak berpengaruh terhadap pertumbuhan ekonomi.
The Effect of Female Education and Female Labor Force Participation Rate on Poverty Alleviation in East Java
Authors: Elisyabella Thineza Vira
Published: January 2025

This study aims to determine the effect of women's education and women's labor force participation rate on poverty alleviation in East Java. This research method uses quantitative methods analyzed using panel data regression analysis. Poverty in East Java is still above the national average from 2010 to 2022. In 2023, East Java's poverty rate was the highest after Yogyakarta Province. Efforts are needed to improve the quality of human resources through education. Individuals who have good formal education tend to have better access to stable jobs and better wages, which can help them avoid falling into poverty. The findings of this Random Effect Model estimation study show that partially women's education has a significant negative effect on poverty alleviation and women's labor force participation rate (TPAK) has a significant positive effect on poverty alleviation in East Java. Simultaneously, female education and female labor force participation rate have a significant effect on poverty alleviation in East Java.
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets
Authors: Willem Theresa , Wollek Alessandro , Cheslerean-Boghiu Theodor , Kenney Martha , Buyx Alena
Published: January 2025

Background

In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models’ outputs. As a standard, categorical data, such as patients’ gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.

Objective

This study aimed to explore categorical data’s effects on machine learning model outputs, rooted the effects in the data collection and dataset publication processes, and proposed a mixed methods approach to examining datasets’ data categories before using them for machine learning training.

Methods

Against the theoretical background of the social construction of categories, we suggest a mixed methods approach to assess categorical data’s utility for machine learning model training. As an example, we applied our approach to a Brazilian dermatological dataset (Dermatological and Surgical Assistance Program at the Federal University of Espírito Santo [PAD-UFES] 20). We first present an exploratory, quantitative study that assesses the effects when including or excluding each of the unique categorical data features of the PAD-UFES 20 dataset for training a transformer-based model using a data fusion algorithm. We then pair our quantitative analysis with a qualitative examination of the data categories based on interviews with the dataset authors.

Results

Our quantitative study suggests scattered effects of including categorical data for machine learning model training across predictive classes. Our qualitative analysis gives insights into how the categorical data were collected and why they were published, explaining some of the quantitative effects that we observed. Our findings highlight the social constructedness of categorical data in publicly available datasets, meaning that the data in a category heavily depend on both how these categories are defined by the dataset creators and the sociomedico context in which the data are collected. This reveals relevant limitations of using publicly available datasets in contexts different from those of the collection of their data.

Conclusions

We caution against using data features of publicly available datasets without reflection on the social construction and context dependency of their categorical data features, particularly in data-sparse areas. We conclude that social scientific, context-dependent analysis of available data features using both quantitative and qualitative methods is helpful in judging the utility of categorical data for the population for which a model is intended.
Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study
Authors: Rojas Natalia K , Martin Sam , Cortina-Borja Mario , Shafran Roz , Fox-Smith Lana , Stephenson Terence , Ching Brian C F , d'Oelsnitz Anaïs , Norris Tom , Xu Yue , McOwat Kelsey , Dalrymple Emma , Heyman Isobel , Ford Tamsin , Chalder Trudie , Simmons Ruth ,   CLoCk Consortium, Pinto Pereira Snehal M
Published: January 2025

Background

The literature is equivocal as to whether the predicted negative mental health impact of the COVID-19 pandemic came to fruition. Some quantitative studies report increased emotional problems and depression; others report improved mental health and well-being. Qualitative explorations reveal heterogeneity, with themes ranging from feelings of loss to growth and development.

Objective

This study aims to analyze free-text responses from children and young people participating in the Children and Young People With Long COVID study to get a clearer understanding of how young people were feeling during the pandemic.

Methods

A total of 8224 free-text responses from children and young people were analyzed using InfraNodus, an artificial intelligence–powered text network analysis tool, to determine the most prevalent topics. A random subsample of 411 (5%) of the 8224 responses underwent a manual sentiment analysis; this was reweighted to represent the general population of children and young people in England.

Results

Experiences fell into 6 main overlapping topical clusters: school, examination stress, mental health, emotional impact of the pandemic, social and family support, and physical health (including COVID-19 symptoms). Sentiment analysis showed that statements were largely negative (314/411, 76.4%), with a small proportion being positive (57/411, 13.9%). Those reporting negative sentiment were mostly female (227/314, 72.3%), while those reporting positive sentiment were mostly older (170/314, 54.1%). There were significant observed associations between sentiment and COVID-19 status as well as sex (P=.001 and P<.001, respectively) such that the majority of the responses, regardless of COVID-19 status or sex, were negative; for example, 84.1% (227/270) of the responses from female individuals and 61.7% (87/141) of those from male individuals were negative. There were no observed associations between sentiment and all other examined demographics. The results were broadly similar when reweighted to the general population of children and young people in England: 78.52% (negative), 13.23% (positive), and 8.24% (neutral).

Conclusions

We used InfraNodus to analyze free-text responses from a large sample of children and young people. The majority of responses (314/411, 76.4%) were negative, and many of the children and young people reported experiencing distress across a range of domains related to school, social situations, and mental health. Our findings add to the literature, highlighting the importance of specific considerations for children and young people when responding to national emergencies.
The Development of an Instagram Reel-Based Bystander Intervention Message Among College Students: Formative Survey and Mixed Methods Pilot Study
Authors: Couto Leticia
Published: January 2025

Background

Bystander intervention is a common method to address the ubiquitous issue that is sexual violence across college campuses. Short messages that incentivize bystander intervention behavior can be another tool to fight sexual violence.

Objective

This study aimed to conduct formative research surrounding social norms and bystander barriers to pilot and develop Instagram (Meta) reel-based messages addressing bystander intervention among college students.

Methods

The first step was to conduct a formative survey to identify peer norms and actual behavior of the intended population. Once that data were collected, a mixed methods message pilot was conducted by a survey where participants randomly saw 5 of the 12 messages developed, assessing them for credibility, perceived message effect, and intended audience.

Results

The formative survey was conducted among 195 college students from the same institution, and the pilot test was conducted among 107 college students. The formative survey indicated a discrepancy between perceived peer behavior and actual behavior of the participants in all 3 measures, allowing for the development of normative messaging. The pilot testing indicated the credibility was acceptable (eg, mean 3.94, SD 1.15 on a 5-point scale) as well as the perceived message effect (eg, mean 4.26, SD 0.94 on a 5-point scale). Intended audiences were also identified and reached. Qualitative results indicated that the messages may have lacked credibility, although the quantitative results suggest otherwise.

Conclusions

Participants understood the messages concerned bystander intervention, and perceived message effects results indicated the messages to be effective in assisting bystander intervention engagement by normative messaging. Messages were considered credible and reached the intended audience. The qualitative results provided further insights on how the messages can be adapted before being tested for effects. Future research should focus on further adapting the messages and testing their effects among the studied population.
The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets (Preprint)
Authors: Willem Theresa , Wollek Alessandro , Cheslerean-Boghiu Theodor , Kenney Martha , Buyx Alena
Published: January 2025

BACKGROUND

In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models’ outputs. As a standard, categorical data, such as patients’ gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.

OBJECTIVE

This study aimed to explore categorical data’s effects on machine learning model outputs, rooted the effects in the data collection and dataset publication processes, and proposed a mixed methods approach to examining datasets’ data categories before using them for machine learning training.

METHODS

Against the theoretical background of the social construction of categories, we suggest a mixed methods approach to assess categorical data’s utility for machine learning model training. As an example, we applied our approach to a Brazilian dermatological dataset (Dermatological and Surgical Assistance Program at the Federal University of Espírito Santo [PAD-UFES] 20). We first present an exploratory, quantitative study that assesses the effects when including or excluding each of the unique categorical data features of the PAD-UFES 20 dataset for training a transformer-based model using a data fusion algorithm. We then pair our quantitative analysis with a qualitative examination of the data categories based on interviews with the dataset authors.

RESULTS

Our quantitative study suggests scattered effects of including categorical data for machine learning model training across predictive classes. Our qualitative analysis gives insights into how the categorical data were collected and why they were published, explaining some of the quantitative effects that we observed. Our findings highlight the social constructedness of categorical data in publicly available datasets, meaning that the data in a category heavily depend on both how these categories are defined by the dataset creators and the sociomedico context in which the data are collected. This reveals relevant limitations of using publicly available datasets in contexts different from those of the collection of their data.

CONCLUSIONS

We caution against using data features of publicly available datasets without reflection on the social construction and context dependency of their categorical data features, particularly in data-sparse areas. We conclude that social scientific, context-dependent analysis of available data features using both quantitative and qualitative methods is helpful in judging the utility of categorical data for the population for which a model is intended.
Co-morbidity and co-symptom network analysis of diabetes EMR based on Bi-LSTM-CRF entity extraction framework (Preprint)
Authors: Tang Jie , Dong Jiancheng , Liu Zhangsuo , Wu Huiqun
Published: January 2025

BACKGROUND

Diabetes is a prevalent chronic disease that imposes significant burdens on individuals and healthcare systems worldwide. With the growing volume of electronic medical records (EMRs), there is a pressing need to leverage these real-world datasets to uncover meaningful insights for clinical decision-making and research.

OBJECTIVE

This study aims to build a high-throughput knowledge graph from medical records on diabetes via Bi-LSTM-CRF model and the Neo4j database and then perform analytics based on such phenomics graph.

METHODS

The experimental dataset consists of de-identified medical record data of 2002 patients from The First Affiliated Hospital of Zhengzhou University. The Bi-LSTM-CRF model was trained using annotated medical record data. After verifying the accuracy of the model, the entities are automatically extracted based on the trained model, and the relationships between nodes are constructed to create triples, which are then imported into the graph database Neo4j for visualization and topology analysis. In addition, the extracted entities are deduplicated and disambiguated to calculate the Jaccard coefficient matrix of disease and symptom entities and further network analysed.

RESULTS

The Bi-LSTM-CRF model in this experiment achieved state-of-art performances. Based on which, 45541 entities and 325325 triples were extracted. The recognized entities were saved in the Neo4j for visualization and topological analysis. The networks of co-occurrence morbidities and symptoms analytics were performed and the meaningful scientific discovery was approved.

CONCLUSIONS

The framework can automatically extract entities from real-world data and can be used for further graph construction and network analysis, laying the feasibility for other data-driven phenomics analysis.
Clinical Study Schedule of Activities Specification using FHIR Definitional Resources (Preprint)
Authors: Richardson Andrew , Genyn Patrick
Published: January 2025

BACKGROUND

The Fast Healthcare Interoperability Resources (FHIR) standard is now well established as a global standard for healthcare information exchange. The value of FHIR is also being actively explored to support clinical and healthcare research in areas such as observational studies using “real world data” (RWD) and in clinical studies intended for regulatory submissions where it plays a key role in enabling direct data capture from clinical sites. The goal of the work for clinical trials is to use FHIR resources to define study schedules of activities (SoA) to support operational implementation at research sites. A HL7 FHIR Implementation Guide (IG) has been published that can define basic SoAs, but this does not offer solutions to define some types of study scheduling (e.g. treatment cycles) or other scheduling requirements (e.g. conditional switching such as that found in vaccine studies)

OBJECTIVE

The objective of this work was to re-investigate how the FHIR definitional resources, particularly PlanDefinition might be extended or revised to enable the model to cover the wider range of SoA scheduling requirements that are commonly encountered in clinical research studies.

METHODS

A previously described SoA graph model was used to investigate, extend and test the fundamental requirements for SoA definitions modelling the complex and conditional requirements outlined above. These requirements were then defined/reflected as FHIR definitional resources with, where necessary, FHIR permitted technical solutions (extensions, value sets, etc.). Specification accuracy was tested by comparing the SoA graph model attributes and relationships with those able to be recovered from the FHIR specifications.

RESULTS

Using confirmed graph-based models of clinical SoAs, a SoA FHIR model based on the PlanDefinition resource was developed that can model simple, complex and conditional SoA requirements for a wide variety of SoA use cases. Using example and publically available study SoAs, the SoA FHIR model was able to accurately specify a large range of commonly met study scheduling requirements.

CONCLUSIONS

A FHIR model for the specification of clinical trial SoAs has been developed that offers a more comprehensive set of scheduling requirements to be defined than previously considered. Particularly it implements methods for specifying conditional scheduling requirements, and clearly separates SoA activity definition from the study scheduling requirments.
Звернення головного редактора
Authors: Authors No
Published: January 2025

No abstract
Esquizofrenia en adolescentes: un reto diagnóstico y terapéutico
Authors: Cortes-Vega Aurora , Chávez-Martínez Emmanuel A. , Ochoa-Madrigal Marta G. , Meneses-Luna Oscar
Published: January 2025

Schizophrenia is perhaps the pathology most commonly associated with the medical branch of psychiatry, however, it only affects 1% of the general population, but due to the broad and striking clinical picture, it has become for the population and professionals of health, a topic of interest. Presentations in the infant-juvenile population are associated with varied clinical symptoms, with greater impact on school life, propensity for inadequate response to treatment, greater presentation of side effects and greater cognitive impairment. In this case report, it presents an adolescent with a complex perinatal history, difficulties with socialization, depressive-type affective symptoms with subsequent appearance of severe psychotic symptoms that caused dysfunction in multiple areas, affecting comprehensive development and compromising her quality of life. The approach to the presentation of a psychotic disorder at an early age, follow-up over time and the importance of making adjustments in the pharmacological treatment until the medication with which the symptomatology is better controlled is explored, considering the importance of avoiding side effects derived from the use of antipsychotics in infant-juvenile patients, where the range of possible treatments is still limited. Conclusion: The present case highlights the complexity of the diagnosis and treatment of early-onset schizophrenia in adolescence, as well as the importance of a comprehensive approach that addresses both the medical, psychological and social aspects of the disease to achieve sustained improvement and quality of life, optimal for the patient. Keywords: Hallucinations; schizophrenia; adolescents; cognitive impairments; case report.
Abordaje quirúrgico en un paciente con carcinoma epidermoide de células basaloides en cavidad nasal con invasión al cerebro
Authors: Prado Hernández Ezri Natanael , Ferrufino Mejía Bill Roy , Ferrufino Mejía Milivoy Alan , Vázquez Nieves José Roberto , Vargas Díaz Carmen Inés
Published: January 2025

Introduction: One of the greatest challenges in oncological surgery is to individualize the management of each patient. Remembering that each patient will have individual characteristics, pathologies and unique history, which makes the therapeutic approach more complex. Case presentation: This is a 49-year-old female patient with 3-month onset of symptoms, with increased volume in the right periorbital region, intense headache in the occipital and frontal regions, loss of visual acuity in the right eye. Imaging studies are performed, finding an occupying lesion in the ethmoid cells, frontal and sphenoid sinuses, so a biopsy of the lesion is performed with a pathology report of squamous cell carcinoma of basaloid cells, and the decision is made to perform a combined surgical treatment, performing a frontal approach and endoscopic transnasal approach. Conclusions: In the literature review, a small number of cases of patients with squamous cell carcinoma of basaloid cells in the nasal cavity with infiltration to the brain have been reported, so the treatment is not yet standardized, however multidisciplinary treatment is the basis for success and patient prognosis. Keywords: Carcinoma, endoscopic transnasal approach, 5-fluorouracil, cisplatin.
El gato que hizo visible una vocación
Authors: Fortoul van der Goes Teresa I.
Published: January 2025

Louis Wain has not gone down in history simply because he is a good cartoonist; It's also one of the classic examples used to show how schizophrenia, a mental illness, can change people. This illness could have been captured pictorially in the development of his last paintings or, perhaps, it only shows the very acute artistic genius that continued to develop even in the harshest conditions. Key words: Louis Wain, schizophrenia, mental illness, painting, cats