bluuebunny/crossref_metadata_2025_split huggingface dataset:
REDEFINING BEAUTY STANDARD IN LAKSMI PAMUNTJAK’S THE QUESTION OF RED
Authors: Pristiana Yulia Eka , Koiri Much 
Published: July 2023

The word "beautiful" is closely addressed to women. The standardization of beauty attached to women by a patriarchal society has become an issue that is still strongly opposed by feminists. The feeling of being less attractive and less-loved will grow in the women’s minds who are deemed less or do not meet the beauty standard in the patriarchal society. This study is aimed: (1) to discuss beauty standards set forward by a patriarchal society represented through an epic literary work, a novel by Laksmi Pamuntjak entitled The Question of Red, and (2) to identify how the character Amba redefines beauty in Laksmi Pamuntjak's The Question of Red. This study applies literary criticism to achieve satisfactory results, which refers to feminists' "reading as women." This study indicates that patriarchal society's beauty standard is represented by depicting Amba's appearance that is different from the physical depiction of the mother and the sister who always have a beautiful appearance. Besides, Amba believes that the beauty standard is a catastrophe that unwittingly harms women. Moreover, beauty is not always just about appearance.
WOMEN’S LANGUAGE IN KIM KARDASHIAN’S INTERVIEW WITH VOGUE
Authors: Widiastuti Oktaviari 
Published: July 2023

As a subordinate group in society, women should speak and behave politely. This situation makes women have their characteristics when they speak. Kim Kardashian is a celebrity who has influenced many people through her fashion sense and career advancement as a celebrity and businesswoman. This research aims to examine the women's language characteristics that occurred in Kim Kardashian's utterances in her interview with Vogue. The instrument of this research is a document. First, the data were collected from Kim Kardashian’s interview with Vogue. The data were selected and identified the women's language characteristics that appeared in Kim Kardashian's utterances. Then the research showed the research findings by presenting the data and analysis. There are 360 data classified as women's language characteristics, which consist of 106 intensifiers, 84 hedges, 71 rising intonation, 34 emphatic stress, 31 hypercorrect grammar, 20 empty adjectives, five tag questions, 4 super polite forms, 3 specific colours, and 2 avoidances of swear words. An intensifier is a characteristic that Kim Kardashian frequently uses because she wants to express her certainty about her utterances and make them firmer, so the addressee will take her statements seriously and get the point of her statement.
Kecerdasan Sosial dalam Ca’-oca’an Madura: Kajian Hermeneutik Bersusun
Authors: Makki M. Ismail , Aflahah Aflahah , Albaburrahim Albaburrahim 
Published: July 2023

Penelitian ini mengkaji ca’-oca’an Madura yang memiliki relasi dengan kecerdasan sosial. Konstruk kecerdasan sosial yang digunakan adalah lima dimensi menurut Albreht yaitu situasional Awarness, Presence, Autenticity, Clarity dan Emphaty. Metode penelitian yang digunakan adalah hermenitik bersusun. Hasil penelitian menunjukan bahwa ditemukan lima ca’-oca’an Madura yang mencerminkan kecerdasan sosial yang mengajarkan orang Madura sebagai pedoman dalam menjalin interaksi sosial agar memiliki tingkat kecerdasan sosial yang tinggi, yaitu Taoh Tengka, Jijib, Seduhuna, Jhârna’ dan Andi’ Ate’.
Caractérisation histochimique et localisation des mucosubstances et leur activité enzymatique dans les glandes salivaires du dromadaire (<em>Camelus dromedarius</em>)
Authors: Jarrar Bashir M. , Taib N.T. 
Published: July 2023

Des recherches histologiques et histochimiques ont été effectuées sur les glandes salivaires du dromadaire (Camelus dromedarius) afin d’en déterminer les structures et la répartition, la composition chimique et les activités enzymatiques. Des glandes de Weber et des glandes de von Ebner ont été trouvées dans la langue du dromadaire, mais les glandes apicales de Nünh étaient absentes. Les glandes de von Ebner se sont révélées séromuqueuses et d’architecture tubulo-acineuse ; elles sécrètent des mucosubstances neutres, des sialomucines et un peu de sulfomucines. Les glandes de Weber sont mucoséreuses et de type tubulaire ; elles sécrètent des mucosubstances neutres, des sialomucines et des sulfomucines résistantes à la hyaluronidase. Ces deux types de glandes ont montré une activité enzymatique variable pour les phosphatases acides et alcalines, l’adénosine triphosphatase, les estérases non spécifiques, l’anhydrase carbonique et la déhydrogénase succinique. Aucune activité pour la β-glucuronidase, la lipase, les cholinesterases et l’aminopeptidase n’a été détectée et seule une légère activité amylolytique pour l’α-amylase a été révélée dans les glandes de von Ebner.
Para além do humano
Authors: Banasiak Marta 
Published: July 2023

Partindo dos estudos de museologia e da teoria da ecocrítica da matéria vinda diretamente da perspetiva do novo materialismo, propõe-se uma leitura do mais recente romance de João Paulo Borges Coelho Museu da Revolução (2021). O estudo observa o processo de transformação da narrativa em uma exposição interativa, ou exposição em movimento, explorando as capacidades narrativas dos elementos não-humanos e, ao mesmo tempo o processo de limitação da agência do elemento humano (personagens) e sua transformação em objetos malháveis. Assume-se que essa construção de discurso participa no projeto de recuperação da(s) histórias(s) da revolução moçambicana, as suas origens políticas e históricas e as suas consequências na contemporaneidade igualmente como a colocação do país dentro do contexto da geopolítica mundial.
Entrevista com Joana Neves: O ensino de História e as utopias: memórias dos Colégio Vocacionais e de uma professora da primeira geração do “campo” do ensino de História
Authors: Hoissa Benfica Tiago Alinor 
Published: July 2023

Joana Neves nasceu em 15 de outubro de 1942. É professora aposentada da Universidade Federal da Paraíba, desde 1995. Foi aluna da USP na graduação e no mestrado, e após a aposentadoria, defendeu sua tese de doutorado na mesma instituição. Joana é professora formada desde 1966, iniciando a docência profissional no Ginásio Vocacional EmbaixadorMacedo Soares, em Barretos-SP, e, de 1968 a 1970, na condição de professora de História, integrou a equipe da Área de Estudos Sociais nos Cursos Técnicos do Segundo Ciclo do Colégio Estadual Osvaldo Aranha, em São Paulo/SP. Em 1970, com o fim das escolas experimentais e o fechamento do Serviço de Ensino Vocacional no estado de São Paulo, ela recebeu o convite de lecionar em Aquidauana, então município do estado de Mato Grosso, na recém fundada Universidade Estadual de Mato Grosso/UEMT que, a partir de 1978, com a divisão do estado, tornou-se a Universidade Federal do Mato Grosso do Sul. Ainda antes de defender o mestrado, ocorrido em 1981, no ano de 1978 Joana começa a lecionar na Universidade Federal da Paraíba, onde permaneceu vinculada até a aposentadoria. A bibliografia, ou melhor, muitos textos de Joana, ainda não foram devidamente reunidos e publicados. Na sua trajetória, destacam-se a parceria que tivera com Elza Nadai em muitos escritos de livros didáticos, textos acadêmicos, e a participação na elaboração, na década de 1970, do Guia Curricular do estado de São Paulo, conhecido como “Verdão”. A biografia profissional de Joana transpassa a maior parte da segunda metade do século XX. Mesmo não tendo o perfil do atual homo academicus, a posição institucional e o capital social da mesma era privilegiado no espaço universitário brasileiro. De fato, Joana contribuiu com muitos escritos sobre ensino de História e história regional, na formação de muitos professores e teve uma destacada atuação na ANPUH.
Health Literacy Awareness Among Orthopaedic Surgery Residents
Authors: Shing Elaine Z. , Wally Meghan K. , Seymour Rachel B. , Patt Joshua C. , Scannell Brian P. ,   on behalf of The Collaborative Orthopaedic Educational Research Group
Published: July 2023

Introduction:
Musculoskeletal health literacy (HL) is an emerging concept in orthopaedic patient care. Estimated rates of low musculoskeletal HL in patients surpass those of general HL. Studies in other specialties suggest that medical trainees are ill equipped to interact with low HL patients, often with detrimental patient outcomes. The purpose of this study was to (1) establish the current state of HL awareness among orthopaedic surgery trainees, (2) characterize the current state of HL training in orthopaedic surgery programs, and (3) evaluate the desire for formalized HL training among orthopaedic surgery trainees.

Methods:
This study was endorsed by the Collaborative Orthopaedic Education Research Group board. A 17-item questionnaire was administered anonymously to orthopaedic residents through a secure online platform in the 2020 to 2021 academic year. All participation was voluntary.

Results:
One hundred ninety-two residents (42%) from 19 orthopaedic programs completed the survey. Most residents felt “somewhat comfortable” with issues related to HL. Most residents reported no specific training in HL issues during residency (77.5%). Of the 43 residents (22.3%) who did receive formal training, most of these individuals felt that the training is effective (N = 42, 97.7%). Role playing/standardized patient encounters were reported as the most effective form of HL training. Residents felt it was somewhat important to receive formal HL training in residency (median = 4.0, interquartile range = 3.0-5.0), and there was a modest desire for formalized training (39%).

Discussion:
This study is the first to characterize orthopaedic resident perceptions of HL issues in practice and training. Residents were somewhat confident in their understanding of HL concepts, and those who received formal training felt it was effective. However, there remains a low rate of formal orthopaedic resident training in HL issues, which may be an area for improvement in orthopaedic training paradigms.
Deep Learning Algorithms for predicting the geographical locations of Pandemic Disease Patients from Global Positioning System (GPS) Trajectory Datasets
Authors: UGWOKE Paulinus Okechukwu , Udanor Collins N. , Bakpo Francis S. 
Published: July 2023

Abstract
Background and aim:The successful isolation of the Covid-19 virus in Wuhan, China in December 2019 provided empirical/scientific proof of the existence of the Covid 19 virus and marked the beginning of a pandemic of great proportions. Although localized and moderate at inception, the Covid-19 pandemic has proceeded to overwhelm the health authorities in several countries of the world. Concerted efforts to monitor the spread of the virus had been undertaken since the advent of the Covid-19 pandemic. The attempt to flatten the curve of the Covid-19 pandemic initially relied on contact tracing of persons who made contacts with infected persons. Presently, owing to the dynamics of the pandemic, scientists appear more preoccupied with the higher task of geographical location prediction of pandemic disease patients. Accordingly, the aim of this study is to carry out a comparative analysis of six deep learning algorithms for predicting the geographical locations of Covid-19 patients from Big GPS trajectory datasets.
Method: The methodology for this study, proposes to design and apply selected deep learning algorithms for predicting the location of infected Covid-19 patients under monitoring. Among the deep learning algorithms include Recurrent Neural networks (RNN), Long-Short Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Convolutional Neural Networks (CNN), Gated Recurrent Unit (GRU), Multilayer perceptron (MLP). The distinctive quality of the models is efficiency and effectiveness with regards to time saving, minimal use of computer resources, smart design, and development.
Result: The result of this study showed that with application of the above mentioned deep learning models, it is possible to predict the location of infected Covid-19 patients. Thus, the predictive ability of these models is not in doubt. The GRU algorithm outperformed the other algorithms (i.e., RNN, LSTM, BiLSTM, CNN, and MLP) based on Key Performance Indicators (KPIs) metrics applied such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Logarithmic Error (RMSLE) using uniform geographical location data. The result further revealed that location prediction of Covid-19 patients is more optimally executed using the deep learning models. Based on the findings in this paper, it is recommended that the deep learning models be applied in other jurisdictions for location prediction problems.
Conclusion: The result of this study recommends the deep learning models for location prediction problems of not only Covid-19 patients but all other pandemic disease situations around the globe.
Efficient Hotel Review Rating Prediction using Ensemble Learning
Authors: Kumar Mukesh , Kumar Chhotelal , Kumar Naween , Kavitha S. 
Published: July 2023

Abstract
Machine Learning (ML) is a branch of Artificial Intelligence (AI) in which data-driven schemes learn patterns by being exposed to relevant data. Natural Language Processing (NLP) has been benefiting greatly from ML. In this article, ML is used to anticipate hotel review ratings. This paper proposes an Ensemble Learning-based rating prediction model for predicting ratings based on user reviews. The main objective of this research article is to accurately predict the best user experience rating. The majority voting technique of Ensemble learning has been used to predict the ratings. In this research article, first, the dataset is cleaned and then processed through a series of Natural Language Processing (NLP) preprocessing steps. This article includes a comparison of various classifiers with various embedders. Stochastic Gradient Descent (SGD) Classifier, Logistic Regression (LR), Logistic Regression Cross Validation (LRCV), Support Vector Classifier (SVC), Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and K-Nearest Neighbour (KNN) are the 7 classifiers used, along with 3 embedding techniques: Bag of Words (BoW), Word2Vec, and Term Frequency-Inverse Document Frequency (TF-IDF). Our proposed solution is more accurate and works well. Accuracy and count are used as performance measures to compare and validate classifiers and embedders. According to the simulation report, TF-IDF utilizing LRCV has a 61% accuracy rate.
A systematic scoping review of the Social Vulnerability Index as applied to natural hazards
Authors: Painter Mary Angelica , Shah Sameer , Alexandre Gwendolyn , Khalid Fariha , Prudencio Wendy , Chisty Musabber Ali , Tormos-Aponte Fernando , Wilhelmi Olga 
Published: July 2023

Abstract
Social vulnerability approaches seek to identify social, economic, and political drivers that exacerbate environmental risks, and inform adaptation strategies that redress uneven vulnerabilities. Social Vulnerability Indices (SVIs), one such approach, have exponentially increased in use since their inception in 2003. This paper contributes the most comprehensive and rigorous systematic assessment of SVIs to-date, as applied in hazard and disaster contexts. We evaluate how 246 peer-reviewed articles, published online between 2003–2021, conceptualized, constructed, and applied SVIs across 20 distinct hazard and disaster contexts in 91 countries. Our review extends previous assessments, not only by analyzing a larger diversity and volume of burgeoning scholarship, but by linking the content, method, and objectives of SVIs to synthesize their strengths and limitations for addressing social vulnerability. Three overarching results are reported. First, we find indicators used to assess social vulnerability across hazards, spatial scales, and geographical contexts, were relatively homogenous. Most articles (81%) drew indicators and theories from already existing SVIs. While such replication is not inherently problematic, and to some extent, reflects established risk factors associated with hazards globally, the epistemological and methodological processes through which SVIs are readily reproduced and replicated warrant serious deliberation. Second, and relatedly, articles commonly used deductive, a priori approaches to identify indicators from secondary datasets, often at the expense of inductively-derived representations of vulnerability. Most articles exclusively relied upon quantitative and/or spatial methods (94%) and used secondary or tertiary data alone (80%), without validation and groundtruthing processes (76%). Together, the replication of previous SVIs through deductive research approaches, and their wide application across diverse hazards and geographies, undermines the ability to capture vulnerability as a place-based and context-specific phenomena. Third, and compounding potential ineffectiveness, SVIs appear most often as reactive and post-hazard riskmitigation instruments, with data and findings rarely applied for policy change to address socioeconomic and political causes of vulnerability. Overall, SVIs are an increasingly used instrument; however, their replication without evolving epistemic and methodological approaches, combined with their constrained focus on reactive policy measures, hamper novel and necessary research for countering social vulnerability to increasingly severe socio-environmental and public health risks.
Association of Parity with Type 2 Diabetes Mellitus Prevalence in Japan: The Tohoku Medical Megabank Community-Based Cohort Study
Authors: Wang Hongxin , Iwama Noriyuki , Yuwaki Keiichi , Nakamichi You , Hamada Hirotaka , Tomita Hasumi , Tagami Kazuma , Kudo Rie , Kumagai Natsumi , Metoki Hirohito , Nakaya Naoki , Hozawa Atsushi , Kuriyama Shinichi , Yaegashi Nobuo , Saito Masatoshi 
Published: July 2023

Abstract

This study investigates the association between parity and type 2 diabetes mellitus (T2DM) prevalence in Japanese women, considering the clinical history of gestational diabetes mellitus (GDM) and menopausal status, which are known risk factors for T2DM. Overall, 30,116 Japanese women (6,588 premenopausal and 23,528 postmenopausal) were included in this cross-sectional study. They were divided into two groups according to menopausal status (premenopausal and postmenopausal women), and the association between parity and T2DM prevalence was evaluated using a multiple logistic regression model with possible confounders, including a clinical history of GDM. The association between parity and T2DM prevalence was not statistically significant in premenopausal women. In contrast, a linear graded association between parity and T2DM prevalence was found in postmenopausal women. Furthermore, the association between parity and T2DM prevalence in postmenopausal women was attenuated after adjusting for body weight gain after the age of 20 years. A clinical history of GDM was significantly associated with a high risk for T2DM, regardless of adjustment for body weight gain after the age of 20 years in both premenopausal and postmenopausal women. Parity is associated with an increased risk of T2DM in postmenopausal women but not in premenopausal women. Maintaining appropriate body weight would be beneficial in attenuating the risk of T2DM in postmenopausal women. A clinical history of GDM is a risk factor for T2DM in both pre- and postmenopausal women; therefore, women with a clinical history of GDM require continuous medical care to survey for T2DM.
Examination of the Theoretical Model for Flat-Plate Solar Collectors and Integration With Solar Radiation Decomposition / Transposition Models
Authors: Geovo Leonardo , Ancines Crissiane A. , Krenzinger Arno , Roberts Justo J. , Rosado Diego Jhovanny Mariños , Verma Sujit , Kumar Rahul , Mendiburu Andrés Z. 
Published: July 2023

Abstract
Water heating and climatization are important segments of the residential energy consumption. In this regard, solar thermal energy is a great prospect for promoting energy sustainability. An experimental and theoretical examination of the classical model to evaluate the thermal performance of flat-plate solar collector (FPSC) was conducted in this work. The experimental data were obtained between the months of March and May in Porto Alegre city, Brazil. The model was also integrated with a solar radiation model, for which, sixteen combinations of decomposition-transposition models were evaluated. The three best combinations of decomposition-transposition models were identified. The experimental data were compared with the classical model, called M1, obtaining a relative error (RE) between 1.98% and 11.48% and a mean relative error (MRE) of 6.38%. Afterwards, two correction factors were identified by the theoretical examination of the classical model. These factors were implemented to correct the determined value of the useful energy. Moreover, two new models, which incorporate the correction factors were tested, namely, models M2 and M3, respectively. These models were compared with experimental data. The results show a MRE of 4.35% and 3.38%, respectively. Therefore, model M3 showed better results than the classical model M1. A case study was carried out implementing the model M3 to study the FPSC performance in Porto Alegre, Brazil.
Addressing Help-seeking, Stigma and Risk Factors for Suicidality in Secondary Schools: Short-term and Mid-term Effects of the HEYLiFE Suicide Prevention Program in a Randomized Controlled Trial
Authors: Grosselli Luna , Knappe Susanne , Baumgärtel Julia , Lewitzka Ute , Hoyer Jürgen 
Published: July 2023

Abstract
Background: Suicidal ideation and suicide attempts pose a serious public health concern among adolescents and young adults. School-based suicide prevention programs are a key tool for addressing this problem. However, more research is necessary to assess their effectiveness, acceptability, and safety. In response, the HEYLiFE suicide prevention program was developed to enhance help-seeking, reduce stigma towards suicidal peers and diminish risk factors for suicidality. This article presents the evaluation findings of the HEYLiFE program in German secondary schools.
Methods: We conducted a randomized-controlled trial measuring short-term pre-post within-group effects in the intervention group only and mid-term effects at 6-months-follow-up in the intervention and a waitlist-control group. Schools were assigned randomly to the intervention or control group (no blinding). We recruited students ≥12 years of age in secondary schools. Primary outcomes were knowledge about suicidality, attitudes towards suicidality, stigma towards a suicidal peer, help-seeking intentions and behaviours, as well as risk factors for suicidality. The data was analysed with linear mixed models and generalized linear mixed models.
Results: N = 745 students participated (n= 353 intervention group, n = 392 control group). We observed favourable short-term effects on knowledge, attitudes towards suicidality and fear towards a suicidal peer. Unexpectedly, the program also led to an increase in desire for social distance and a decrease in prosocial emotions towards a suicidal peer. The mid-term effects of the program were exclusively favourable, resulting in enhanced attitudes towards help-seeking while protecting from a sharper rise in risk-factors for suicidality and from an increase in social distance. The program had more favourable effects on females than on males. The program was well-received by the students, and no serious adverse events were reported.
Conclusions: These findings demonstrate the effectiveness of the HEYLiFE universal suicide prevention program in addressing variables associated with suicidal ideation and suicide attempts among adolescents on the mid-term. Short-term negative effects on stigma and more negative effects on males should be addressed in the future. Future evaluation studies should examine the effects on suicidality and its effectiveness on populations at high risk.
Trial registration: The study was preregistered in the German Clinical Trials Register (registration number: DRKS00017045; registration date: 02/04/2019).