bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting the number of identified information security vulnerabilities based on the theory of “Gray Systems”
Authors: Efimov A. O. , Mishin S. A. , Rogozin E. A. 
Published: October 2023

Objective. The aim of the work is to assess the possibility of applying the theory of “gray systems” to build a methodology for predicting the number of identified vulnerabilities in conditions of uncertainty of influencing factors and lack of initial data, including a comparative analysis of the results of this prediction obtained using traditional and improved models of the theory of “gray systems”, as well as machine learning models.Method. The paper describes a technique for constructing a “gray model” for predicting the number of identified vulnerabilities based on the theory of “gray systems”. The initial data for forecasting is information obtained from the CVE (Common Vulnerabilities and Exposures) vulnerability database. In the course of the study, the results of forecasting obtained using the developed “gray model” and the linear regression model implemented on the basis of the scikit-learn library and the Python programming language are analyzed.Result. The use of a linear regression model and models based on the theory of “gray systems” to predict the number of identified vulnerabilities allows you to get close forecast values. According to data obtained from the CVE vulnerability database, information on 7,015 identified vulnerabilities was published for the 1st quarter of 2023. The forecast obtained on the basis of the traditional model of the theory of “gray systems” turned out to be the closest to the published value. It should be noted that the forecast of the “gray model” is based only on the values of the initial data and does not depend on the circumstances arising in the field of information security, which is a limitation in the use of the proposed methodology.Conclusion. The results of the study indicate the possibility of applying the theory of “gray systems” for short-term forecasting of the number of detected vulnerabilities. The application of the developed methodology makes it possible to carry out the specified forecasting with a limited number of initial data.
Sacroiliac Joint Dysfunction in Endurance Runners Using Wearable Technology as a Clinical Monitoring Tool: Systematic Review
Authors: Evans Stuart 
Published: October 2023

Background
In recent years, researchers have delved into the relationship between the anatomy and biomechanics of sacroiliac joint (SIJ) pain and dysfunction in endurance runners to elucidate the connection between lower back pain and the SIJ. However, the majority of SIJ pain and dysfunction cases are diagnosed and managed through a traditional athlete-clinician arrangement, where the athlete must attend regular in-person clinical appointments with various allied health professionals. Wearable sensors (wearables) are increasingly serving as a clinical diagnostic tool to monitor an athlete’s day-to-day activities remotely, thus eliminating the necessity for in-person appointments. Nevertheless, the extent to which wearables are used in a remote setting to manage SIJ dysfunction in endurance runners remains uncertain.

Objective
This study aims to conduct a systematic review of the literature to enhance our understanding regarding the use of wearables in both in-person and remote settings for biomechanical-based rehabilitation in SIJ dysfunction among endurance runners. In addressing this issue, the overarching goal was to explore how wearables can contribute to the clinical diagnosis (before, during, and after) of SIJ dysfunction.

Methods
Three online databases, including PubMed, Scopus, and Google Scholar, were searched using various combinations of keywords. Initially, a total of 4097 articles were identified. After removing duplicates and screening articles based on inclusion and exclusion criteria, 45 articles were analyzed. Subsequently, 21 articles were included in this study. The quality of the investigation was assessed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) evidence-based minimum set of items for reporting in systematic reviews.

Results
Among the 21 studies included in this review, more than half of the investigations were literature reviews focusing on wearable sensors in the diagnosis and treatment of SIJ pain, wearable movement sensors for rehabilitation, or a combination of both for SIJ gait analysis in an intelligent health care setting. As many as 4 (19%) studies were case reports, and only 1 study could be classified as fully experimental. One paper was classified as being at the “pre” stage of SIJ dysfunction, while 6 (29%) were identified as being at the “at” stage of classification. Significantly fewer studies attempted to capture or classify actual SIJ injuries, and no study directly addressed the injury recovery stage.

Conclusions
SIJ dysfunction remains underdiagnosed and undertreated in endurance runners. Moreover, there is a lack of clear diagnostic or treatment pathways using wearables remotely, despite the availability of validated technology. Further research of higher quality is recommended to investigate SIJ dysfunction in endurance runners and explore the use of wearables for rehabilitation in remote settings.
Early Warning and Prediction of Scarlet Fever in China Using the Baidu Search Index and Autoregressive Integrated Moving Average With Explanatory Variable (ARIMAX) Model: Time Series Analysis
Authors: Luo Tingyan , Zhou Jie , Yang Jing , Xie Yulan , Wei Yiru , Mai Huanzhuo , Lu Dongjia , Yang Yuecong , Cui Ping , Ye Li , Liang Hao , Huang Jiegang 
Published: October 2023

Background
Internet-derived data and the autoregressive integrated moving average (ARIMA) and ARIMA with explanatory variable (ARIMAX) models are extensively used for infectious disease surveillance. However, the effectiveness of the Baidu search index (BSI) in predicting the incidence of scarlet fever remains uncertain.

Objective
Our objective was to investigate whether a low-cost BSI monitoring system could potentially function as a valuable complement to traditional scarlet fever surveillance in China.

Methods
ARIMA and ARIMAX models were developed to predict the incidence of scarlet fever in China using data from the National Health Commission of the People’s Republic of China between January 2011 and August 2022. The procedures included establishing a keyword database, keyword selection and filtering through Spearman rank correlation and cross-correlation analyses, construction of the scarlet fever comprehensive search index (CSI), modeling with the training sets, predicting with the testing sets, and comparing the prediction performances.

Results
The average monthly incidence of scarlet fever was 4462.17 (SD 3011.75) cases, and annual incidence exhibited an upward trend until 2019. The keyword database contained 52 keywords, but only 6 highly relevant ones were selected for modeling. A high Spearman rank correlation was observed between the scarlet fever reported cases and the scarlet fever CSI (rs=0.881). We developed the ARIMA(4,0,0)(0,1,2)(12) model, and the ARIMA(4,0,0)(0,1,2)(12) + CSI (Lag=0) and ARIMAX(1,0,2)(2,0,0)(12) models were combined with the BSI. The 3 models had a good fit and passed the residuals Ljung-Box test. The ARIMA(4,0,0)(0,1,2)(12), ARIMA(4,0,0)(0,1,2)(12) + CSI (Lag=0), and ARIMAX(1,0,2)(2,0,0)(12) models demonstrated favorable predictive capabilities, with mean absolute errors of 1692.16 (95% CI 584.88-2799.44), 1067.89 (95% CI 402.02-1733.76), and 639.75 (95% CI 188.12-1091.38), respectively; root mean squared errors of 2036.92 (95% CI 929.64-3144.20), 1224.92 (95% CI 559.04-1890.79), and 830.80 (95% CI 379.17-1282.43), respectively; and mean absolute percentage errors of 4.33% (95% CI 0.54%-8.13%), 3.36% (95% CI –0.24% to 6.96%), and 2.16% (95% CI –0.69% to 5.00%), respectively. The ARIMAX models outperformed the ARIMA models and had better prediction performances with smaller values.

Conclusions
This study demonstrated that the BSI can be used for the early warning and prediction of scarlet fever, serving as a valuable supplement to traditional surveillance systems.
Ảnh hưởng của mức độ phân bón và loại phân hữu cơ đến sự thay đổi một số đặc tính dinh dưỡng trong đất, sinh trưởng, năng suất và chất lượng cải kale rong biển và cải kale xoăn (Brassica oleracea var L.)
Authors: Tất Anh Thư , Nguyễn Nhựt Hào , Đặng Quốc Đạt , Quan Thị Ái Liên 
Published: October 2023

Mức độ phân bón và loại phân hữu cơ được xác định ảnh hưởng đến sự thay đổi một số đặc tính hóa học đất, sinh trưởng, năng suất và chất lượng của hai giống cải kale (kale rong biển và kale xoăn). Thí nghiệm bố trí hoàn toàn ngẫu nhiên, 2 nhân tố, 6 tổ hợp phân bón, ba lặp lại. Nhân tố A là hai mức độ phân NPK (1) 100% NPK (120N-48P2O5-176K2O) và (2) 50%NPK. Nhân tố B là loại phân hữu cơ (phân trùn quế và phân gà). Kết quả thí nghiệm cho thấy liều lượng phân bón NPK không ảnh hưởng sự thay đổi giá trị pH và chất hữu cơ, nhưng có ảnh hưởng đến N,P hữu dụng trong đất. Hàm lượng N,P hữu dụng ở mức bón 100% NPK cao hơn, khác biệt ý thống kê so với mức bón 50% NPK. Bón phân hữu cơ giúp cải thiện pH, dinh dưỡng N,P hữu dụng và chất hữu cơ trong đất đáng kể so với không bón phân hữu cơ. Sự sinh trưởng phát triển, năng suất cải kale đạt cao nhất khi bón 50-100% NPK kết hợp phân gà hoặc phân trùn quế. Kết quả thí nghiệm cũng cho thấy bón phân hữu cơ giúp giảm tích lũy nitrate không vượt quá giới hạn cho phép của Tổ chức Y tế Thế giới WHO, tăng độ Brix.
ECOLOGIA POLÍTICA DA SOCIEDADE DE CONSUMO E A ‘PRODUÇÃO DESTRUTIVA’ NO LIMIAR DO COLAPSO AMBIENTAL
Authors: Pomier Layrargues Philippe 
Published: October 2023

Abordamos o perfil da Sociedade de Consumo pela perspectiva da Ecologia Política, para, a partir da análise histórica da constituição desse modelo societário, (a) construir um entendimento de quais foram as transformações que a definem, (b) compreender a influência dos Anos Dourados do Capitalismo; e a partir daí, (c) pensar a questão das necessidades ante o padrão de produção e consumo sustentável. Efetuar tal caracterização ganha relevo no contexto da disputa ideológica da constituição do imaginário sobre qual comportamento de consumo adotar na sociedade orientada pelo American Way of Life.
Palavras-chave: Ecologia Política; Educação Ambiental; Sociedade de Consumo; Anos Dourados do Capitalismo; Produção-Destrutiva
A ESCOLA ÚNICA DO TRABALHO E A EXPERIÊNCIA EDUCACIONAL DE MOISEY M. PISTRAK: REFLEXÕES SOBRE O LEGADO DA PEDAGOGIA SOCIALISTA SOVIÉTICA
Authors: Leal da Cruz Marilei , Soares dos Santos Franciele 
Published: October 2023

Este trabalho tem por objetivo refletir sobre o legado da Pedagogia Socialista Soviética, principalmente no que se refere à compreensão da necessidade da relação entre trabalho e educação na formação humana. As reflexões pautam-se no estudo dos princípios e dos fundamentos da Escola Única do Trabalho, bem como da proposta e da experiência educacional desenvolvida por Moisey M. Pistrak. Como resultado, destacamos que há legados importantes deixados pela Pedagogia Socialista Soviética, pois essa apresenta um arcabouço teórico e prático de experiências educacionais, nas quais podemos apoiar nossas práticas educativas, no caminho para repensarmos a relação trabalho, educação e ensino na atualidade, na busca pela formação humana integral de homens e mulheres. Afirmamos também, mesmo que brevemente, a importância da Pedagogia Socialista Soviética para o avanço da pedagogia marxista e para o enfretamento da Pedagogia do Capital na atualidade.
PALAVRAS-CHAVE: Trabalho e educação; Pedagogia Socialista Soviética; Escola Única do Trabalho; Moisey M. Pistrak.
AGRONEGÓCIO ACIMA DE TUDO, AGRONEGÓCIO ACIMA DE TODOS: DESCONSTRUINDO A EDUCAÇÃO HEGEMÔNICA MIDIÁTICA
Authors: Maia do Bomfim Alexandre 
Published: October 2023

Este artigo é desdobramento de uma pesquisa intitulada ‘“O agronegócio e seu rastro de mentiras e destruição: um estudo sobre trabalho-educação e ambiente na perspectiva da luta de classes". O objetivo foi estudar a campanha publicitária “Agro: A indústria-riqueza do Brasil”, para destacar seus objetivos, observar a estética, ressaltar seu conteúdo, mostrar suas contradições. Isso foi feito sobre as peças publicitárias, compartilhando inferências no percurso da análise. Constatou-se que a campanha é um velamento de um lado do agronegócio, especialmente antiecológico, excludente e desigual.
Palavra-chave: agronegócio e meio ambiente; agronegócio e educação; agronegócio e mídia; hegemonia; educação midiática.
Legislações que amparam a discussão das relações de gênero na educação básica
Authors: Lima Cristiane Pereira , Lacerda Léia Teixeira 
Published: October 2023

Este artigo apresenta uma pesquisa bibliográfica desenvolvida por meio de um levantamento realizado nos documentos legais que fundamentam a discussão e o trabalho didático sobre as relações de gênero em sala de aula no Brasil, como: a Constituição Federal de 1988, a Lei de Diretrizes e Bases da Educação Nacional de 1996, os Parâmetros Curriculares Nacionais de 1997, o Plano Nacional de Educação de 2014-2024, as Diretrizes Curriculares Nacionais para o Ensino Fundamental de 2013 e a Base Nacional Comum Curricular de 2017. Buscamos evidenciar as fundamentações legais que os/as professores/as possuem para o desenvolvimento de uma prática docente — sem que se sintam ameaçados/as, por medo e/ou desconforto no ambiente das instituições escolares — para implementarem os conteúdos de gênero nos currículos escolares e debaterem como as relações são constituídas não só na escola, mas também em diferentes espaços sociais. Nessa perspectiva, procuramos aproximar essas legislações às possibilidades de reflexões apresentadas pelos estudos dos/as teóricos/as pós-estruturalistas que contribuem para a análise e, sobretudo, para a formação das novas gerações de crianças e jovens por meio das práticas pedagógicas de maneira alinhada às legislações que regulamentam o funcionamento dos sistemas de ensino – federal, estadual e municipal – brasileiro.
Assessing the potential of UAV Spectral Data and Machine learning for Soil Organic Carbon Prediction in Sorghum Fields
Authors: Gano Boubacar , Saxton Jocelyn , Coquerel Marie De Gracia , Eck Nathaniel , Stanton Jaccob , Ahmed Nurzaman , Shakoor Nadia 
Published: October 2023

Soil Organic Carbon (SOC) fluctuations in agricultural fields play a
critical role in determining soil fertility and carbon sequestration.
Efficient, non-destructive monitoring of SOC is essential. This study
utilized Unmanned Aerial Vehicles (UAVs) and four Machine Learning (ML)
algorithms-Multiple Linear Regression (MLR), Partial Least Squares
Regression (PLSR), Random Forest (RF), and Xtreme Gradient Boosting
(XGB)-to predict SOC levels.
Our research, set at the Danforth Center Field Research Site (FRS),
comprised 35 sorghum genotypes in a complete block design. Using a
GeoProbe drilling machine, we collected soil cores for compositional
analysis through the Haney test. Concurrently, drone-captured
multispectral images were processed to create orthomosaic maps and
extract features. The ML algorithms effectively predicted SOC levels,
with MLR models showing the highest accuracy (RMSE = 7.12 ppm; R =
0.74). We observed variation in SOC among genotypes, suggesting that
genotype-specific traits could influence SOC estimation accuracy. Field
plots planted with genotypes like SC1345, BTx623, and SAP-133 showed
strong predictability with errors below 5%. In contrast, SC283 and
SAP-154 had prediction errors exceeding 30%.
UAV-based remote sensing offers promising avenues for soil health
assessment, contributing to precision agriculture and sustainable land
management. Future studies could benefit from integrating hyperspectral
sensors to fully harness this technology’s potential.
Pemanfaatan Aplikasi Quizizz Untuk Meningkatan Hasil Belajar Mahasiswa Pada Pengajaran Stoikiometri
Authors: Ardila Mutia , Sudrajat Ajat 
Published: October 2023

Penelitian ini dilakukan untuk meningkatkan hasil belajar mahasiswa pada pembelajaran stoikiometri menggunakan aplikasi Quizizz. Penelitian dilakukan di Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Medan pada tahun ajaran 2022-2023. Populasi dalam penelitian ini adalah seluruh mahasiswa pendidikan biologi yang sedang mempelajari kimia umum. Pemilihan sampel sebanyak 60 orang mahasiswa dilakukan dengan metode purposive sampling yang dibagi menjadi dua kelas yaitu kelas eksperimen dibelajarkan menggunakan media aplikasi Quizizz, sedangkan kelas kontrol dibelajarkan dengan buku diktat. Instrumen penelitian yang digunakan adalah tes tertulis berbentuk pilihan ganda dan essay. Berdasarkan data perhitungan nilai pretest dan postest menunjukkan pembelajaran stoikiometri dengan aplikasi Quizizz pada kelompok eksperimen memperoleh rata-rata peningkatan hasil belajar lebih tinggi sebesar 83% dibandingkan kelas kontrol sebesar 74%. Hal ini menunjukkan bahwa pemanfaatan aplikasi Quizizz pada pembelajaran kimia umum sangat efektif dalam meningkatkan hasil belajar mahasiswa dalam pembelajaran stoikiometri
LITERATURE-BASED EFL INSTRUCTION: BENEFITS FOR LANGUAGE SKILLS DEVELOPMENT, LEARNING MOTIVATION, AND CULTURAL UNDERSTANDING
Authors: Mardiani Mardiani , Baharuddin Andi Farid 
Published: October 2023

In an EFL teaching context, the teacher's role is critical for helping students master four English skills. Teachers should ensure that the used learning tools can develop students’ language skills (in terms of listening, reading, speaking, and writing). According to experts, literature is a useful learning tool for achieving these objectives. Therefore, this article investigates the benefits of integrating literature into language learning activities. The research method used in this article is qualitative method with the library research approach. The data collected are separated into two types of data, i.e. primary and secondary. Both of these data sources are obtained from several articles (published in either national or international journals), books, and conference papers that relate to the use of literature in English teaching and learning. The total number of sources analyzed in the findings are 8 articles, 4 books, and 3 papers of conferences. The results show that using literature in language learning activities has various advantages, i.e., 1) developing the learners’ language skills, 2) triggering students’ learning motivation, 3and ) providing multi-cultural understanding for EFL learners.
UTILIZING GEOGEBRA FOR SOLVING ECONOMIC MATHEMATICS PROBLEMS: PROMOTING LOGICAL REASONING IN PROBLEM-BASED LEARNING
Authors: Warsitasari Wahyu Dwi , Rofiki Imam 
Published: October 2023

Logical reasoning is very important to be used by as the basis of creative activities such as creating or applying mathematical concepts in the real world. By implementing Problem-Based Learning (PBL) with GeoGebra's assistance, logical reasoning abilities can be developed. This research intends to investigate the effect of utilizing GeoGebra to support PBL on students' capacity for logical reasoning while addressing economic mathematics problems. This study employed a quantitative method with one group pretest-posttest quasi-experimental research design. GeoGebra was used in classroom instruction as part of the PBL model to help students solve economic math problems logically. Following the implementation of PBL with the aid of GeoGebra, it may be inferred that there are disparities in students' capacities for logical reasoning based on the non-parametric statistical test of the Wilcoxon test. These findings demonstrate that using GeoGebra in collaboration with problem-based learning improves students' capacity for logical reasoning. GeoGebra-assisted PBL is recommended to be used as a medium to assist students in developing logical reasoning in solving economic mathematics problems.
Is there a link between obesity phenotype and thyroid diseases? A mini-review of current concepts
Authors: Milewska-Kobos Ewa Malwina , Szczepanek-Parulska Ewelina , Ruchala Marek 
Published: October 2023

Abstract
Obesity is a chronic, relapsing, and progressive disease that leads to negative health consequences. Excessive adiposity frequently coexists with metabolic and nonmetabolic complications, deteriorating health and reducing quality of life and life span. Individuals with obesity are not a homogenous group and can present different obesity phenotypes. The most common obesity phenotypes include: metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO). The latter category involves those with developed metabolic syndrome (MetS) and non-fully-developed metabolic syndrome (pre-MetS). The fundamental factor leading to obesity is imbalance between energy uptake and expenditure. From this perspective the thyroid gland plays the pivotal role in metabolism regulation and obesity development. The thyroid regulates thermogenesis, appetite, and lipids turnover. Clinically, hypothyroid patients have decreased metabolic rate and subsequently experience increase of BMI and excess adiposity. The interaction between the thyroid gland and obesity is bidirectional. Several mechanisms of alteration of the hypothalamus-pituitary-thyroid axis in obesity are proposed. Excessive adiposity and dysfunction of adipose tissue may contribute to the development of thyroid functional and structural impairment, such as autoimmunity, thyroid nodules, and thyroid cancer. The prevalence of certain thyroid disorders in obese individuals is higher than in nonobese subjects and this trend is more pronounced in unhealthy obesity phenotypes. The aim of this mini-review is to present the current knowledge on the interaction between thyroid gland disorders and obesity, with special focus on obesity phenotypes.
Correlations of contrast-enhanced ultrasound parameters with free thyroxine, total thyroxine, thyroid peroxidase antibody and thyroglobulin antibody in patients with thyroid nodules
Authors: Zhang Jin , Wang Zijun , Guo Peijie 
Published: October 2023

Abstract

Background: We aimed to study the contrast-enhanced ultrasound features and parameters of patients with benign and malignant thyroid nodules.

Methods: A total of 154 patients diagnosed with thyroid nodules from January 2021 to December 2022 were selected as the subjects. They were divided into a benign nodule group (n=86) and a malignant nodule group (n=68). All patients were examined by contrast-enhanced ultrasound to analyze the features and the differences in parameters such as time to peak (Tp), mean transit time of contrast agent (MTT), peak intensity (PI), and area under curve (AUC).

Results: Using surgical histopathological results as the gold standard, the sensitivity, specificity, and accuracy of contrast-enhanced ultrasound for diagnosing thyroid nodules were 88.24% (60/68), 83.72% (72/86), and 85.71% (132/154), respectively. Compared to the benign nodule group, the levels of FT4, and TT4 significantly decreased, whereas those of TPOAb and TGAb significantly increased in the malignant nodule group (P<0.05). MTT, PI, and AUC were positively correlated with FT4 and TT4 expressions but negatively correlated with TPOAb and TGAb expressions (P<0.05). The diagnosis of thyroid nodules combined with contrast-enhanced ultrasound parameters had an AUC of 0.950, sensitivity of 93.42%, specificity of 87.90%, and 95% CI of 0.832-0.987, and the diagnostic efficiency exceeded those of diagnosis with single indicators (P<0.05).

Conclusions: The contrast-enhanced ultrasound parameters MTT, PI, and AUC decreased in malignant thyroid nodules, being closely correlated with the thyroid function status. The images in combination with parameters of contrast-enhanced ultrasonography can be used to increase the accuracy of diagnosing benign and malignant thyroid nodules.