bluuebunny/crossref_metadata_2025_split huggingface dataset:
The position of Abu Hayyan Al-Andalusi on the opinions of Sibawayh in the interpretation of the Oceanic Sea
Authors: Abbas Dr. Ahmed Khudair 
Published: August 2023

Known for Abu Hayyan passion and love for Sibawayh and his faith in his opinions, he was not satisfied with his mistake or appeal to him, we find him despite his love for Ibn Taymiyyah has turned in his position against him as soon as Ibn Taymiyyah dared to Sibawayh and accused him of error, all this was a motive to reveal the path taken by Abu Hayyan in his fight scientific issues in the interpretation of the ocean sea given the views of Sibawayh, and then studied the research his position on it and between his pride of his opinion and distinguish it from other opinions of scientists, and revealed On the extent to which he relied on it and sufficiency in directing issues, and his use in response to others, as he explained that he was following what is quoted from Sibawayh, followed by correction and clarification, so as not to leave it on his neighbor, and also indicated that he was a fierce defender of him and victorious for him, and does not leave martyrdom and domestication with his opinion and his choice of him.
Despite that, the search revealed a different trend from the above, as Sibawayh violated in many places, but may even be reminded of it sometimes or ignore his mention in front of others, and perhaps all this is expressed as (subordination to the right and subordination to the evidence).
From procedural child rights education to a relational child rights-based practice model
Authors: Collins Tara , Gharabaghi Kiaras , Caruana Sheldon , Cherry Shannon , Marcano-Henry Richard 
Published: August 2023

<p>Children’s rights are often operationalised in administrative and procedural ways, particularly in child welfare and residential services contexts. In this article, a group of five authors representing academics and alumni from Ryerson University’s Child & Youth Care programme who are also people from care present a dialogue process surrounding lived experiences of rights education processes while in care. The dialogue is complemented with a review of child rights education material used by child welfare agencies in Ontario, Canada as tools to explain rights to children and youth admitted into care. We conclude that a child rights-based practice model is necessary in which rights and daily life are fully integrated. </p>
La vulneración del derecho a la defensa, frente al mal uso de las medidas de protección por parte de la víctima en violencia contra las mujeres
Authors: Carangui Vásquez José Miguel , Torres Wilchez Marcelo 
Published: August 2023

Introducción: el presente trabajo investigativo analizó la vulneración del Derecho a la defensa con relación al mal uso de las medidas de protección específicamente el inadecuado uso de las Boletas de Auxilio por parte de la supuesta víctima en violencia contra las mujeres. Objetivos: demostrar que es indispensable justificar los hechos que se plantean en cada denuncia antes de otorgar una boleta de auxilio. Metodología: este aporte académico se desarrolló en base a un enfoque cualitativo con la recolección de información, mismos que se tomaron de códigos, resoluciones, artículos jurídicos y estudios sobre la violencia contra la mujer o miembros del núcleo familiar. Además, en este estudio se empleó los métodos analítico-sintético, método inductivo-deductivo, así como el histórico-lógico, el dogmático, y la técnica de investigación denominada revisión bibliográfica. Conclusiones: la conclusión que arrojó este trabajo justificó que con el mal uso de las boletas de auxilio se vulnera el derecho a la defensa del denunciado, con la obtención inmediata de las boletas de auxilio se protege los derechos de la supuesta víctima, pero se deja en indefensión al presunto infractor. Resultados: las boletas de auxilio se entregan de manera inmediata a la persona denunciante, sin antes hacer una investigación previa y sin contar con elementos de convicción suficientes. Actualmente, la mujer enfrenta una lucha constante contra la violencia intrafamiliar, sin embargo es necesario denotar que existen sanciones que podrían aplicarse a aquellas personas que violentan a mujeres, por ejemplo: el abuso en el uso indiscriminado de las medidas de protección, situación que provoca que la plétora de medidas de protección rompa o desquebraje la presunción de inocencia de la persona agresora. Área de estudio general: Derecho. Área de estudio específica: Derecho Penal y Litigación Oral.
Application of the Make a Match Model in Learning Arabic Mufradat
Authors: Aini Sekar Dwi Nur , Nurfuadi Nurfuadi 
Published: August 2023

Inlearning Arabic there are four abilities that must be learned and mastered by students, namely the ability to listen, speak, read and write. To master these four skills, one of the efforts that must be taken is to improve the acquisition of mufradat or Arabic vocabulary, because it is very helpful for the learning results of the four Arabic skills.This study aims to find out and analyze how the application of the Make A Match model in learning Arabic mufradat at MTs Muhammadiyah 09 Purbalingga. This research is a type of field research that is qualitative descriptive with data collection techniques through observation, interviews, and documentation. The results of this study show that mufrodat learning at MTs Muhammadiyah 09 Purbalingga, teachers conduct learning in three stages, namely the preparation, implementation and evaluation stages. Then in the implementation of mufradat learning the teacher uses the Make a Match model to help students understand and memorize the mufradat given. By using this model, it creates a pleasant learning atmosphere and makes students become more active when participating in learning activities..
Implementation of Feature Enginering and K-Mean Clustering Model in Predictive Analysis of Improving The Quality of Junior High School Education in Bogor Regency
Authors: Isbandi Isbandi , J Kamila Shonia , Wiwin Tri 
Published: August 2023

In order to improve the quality of education. The government of the Republic of Indonesia has established the National Education Standard (SNP) which is the minimum criterion set by the government in the education system. SNP is a standard that must be met by every school and all stakeholders in managing and delivering education. Through data analysis using feature enginering and K-meann methods to predict the quality of junior high school education in Bogor Regency shows that the junior high school education standards in Bogor Regency are significantly influenced by the achievement value of 3 education quality standards, namely educator and education staff standards, facilities and infrastructure standards, and management standards. So that the education office of Bogor Regency needs to focus the direction of policies to improve the quality of junior high school education in indicators that affect these 3 standards. The results of the k-men clustering of school quality showed that junior high schools in Bogor Regency were divided into 2 major groups of education quality level, namely below the value of the 5.07 education quality level as many as 57.12% of junior high schools and the rest above the value of the 5.07 education quality level of 42.88% of junior high schools. Further development of the model needs to be further developed to the level of sub-indicators so that school quality can be more specifically measured, and the data used as analysis material is expanded and enriched by other educational data from various sectors so that the model developed can be more comprehensive in measuring the achievement of education quality.
The Influence of Online Games on The Social Behavior of High School Students
Authors: Muminah Aisyah Farah , Haryanto Budi , Astutik Anita Puji 
Published: August 2023

Several aspects of life are currently undergoing transformations due to the rapid advancement of communication technology, and one such aspect is entertainment, specifically online games. The primary purpose of online games is to provide amusement to individuals and prevent them from experiencing boredom after completing routine tasks. However, individuals become addicted to online games primarily due to the intense gameplay, particularly among teenage groups. Even excessive online games has negative consequences, including social inequality such as timelessness and a decline in manners. This study aimed to examine the correlation between online games and the social behavior of high school students in the Bangil District. This study employed a quantitative method utilizing an analytical survey. The sampling technique employed was purposive sampling, conducted in several coffee shops within the Bangil District, with a sample size of 50 respondents. The findings of this study revealed a negative impact of online games on the social behavior of high school students, as indicated by the equation Y = 5.066 + 0.848X, demonstrating a significant influence. The correlation between X and Y is 0.774, indicating a negative relationship between the variables. The remaining 0.226 falls outside the scope of this investigation. There existed a strong and significant negative relationship between online games and the social behavior of high school students. The impact of online games on students' social behavior manifested in several negative aspects, including the usage of harsh language, disruption of daily productivity leading to health deterioration, failure to keep promises to others, neglecting religious worship, abandoning tasks, and a decrease in the display of empathy towards others.
Keywords: Online Games, Social Behavior, Student
Investigation of bacterial neuraminidase inhibition of xanthones bearing geranyl and prenyl groups from Cratoxylum cochinchinense
Authors: Kim Jeong Yoon , Li Zuo Peng , Lee Gihwan , Kim Jeong Ho , Shah Abdul Bari , Lee Yong Hyun , Park Ki Hun 
Published: August 2023

Introduction: The root of Cratoxylum cochinchinense has been widely used as Chinese folk medicine to cure fevers, burns, and abdominal complications because it contains various bioactive metabolites such as xanthones, triterpenes, and flavonoids. In this study, we estimated bacterial neuraminidase inhibition with a series of xanthones from C. cochinchinense. BNA has connected to various biological functions such as pathogenic bacteria infection inflammatory process after infection and biofilm formation.Methods: The identification of xanthones (1–6) bearing geranyl and prenyl groups was established by spectroscopic data using UV, IR, NMR, and HREIMS. BNA inhibitory modes of isolated xanthones were investigated by Double-reciprocal plots. Moreover, the competitive inhibitor was evaluated the additional kinetic modes determined by kinetic parameters (k3, k4, and Kiapp). The molecular docking (MD) and molecular dynamics simulations (MDS) studies also provided the critical information regarding the role of the geranyl and prenyl groups against BNA inhibition.Results: A series of xanthones (1–6) appended prenyl and geranyl groups on the A-ring were isolated, and compounds 1–3 were shown to be new xanthones. The analogues within this series were highly inhibited with excellent affinity against bacterial neuraminidase (BNA). A subtle change in the prenyl or geranyl motif affected the inhibitory potency and behavior significantly. For example, the inhibitory potency and binding affinity resulting from the geranyl group on C4: xanthone 1 (IC50 = 0.38 μM, KA = 2.4434 × 105 L·mol−1) were 100-fold different from those of xanthone 3 (IC50 = 35.8 μM, KA = 0.0002 × 105 L·mol−1). The most potent compound 1 was identified as a competitive inhibitor which interacted with BNA under reversible slow-binding inhibition: Kiapp = 0.1440 μM, k3 = 0.1410 μM−1s−1, and k4 = 0.0203 min−1. The inhibitory potencies (IC50) were doubly confirmed by the binding affinities (KA).Discussion: This study suggests the potential of xanthones derived from C. cochinchinense as promising candidates for developing novel BNA inhibitors. Further research and exploration of these xanthones may contribute to the development of effective treatments for bacterial infections and inflammatory processes associated with BNA activity.
The crosstalk between microbiota and metabolites in AP mice: an analysis based on metagenomics and untargeted metabolomics
Authors: Zhou Qi , Tao Xufeng , Guo Fangyue , Zhu Yutong , Wu Yu , Xiang Hong , Shang Dong 
Published: August 2023

Background and purposeMicrobiome dysfunction is known to aggravate acute pancreatitis (AP); however, the relationship between this dysfunction and metabolite alterations is not fully understood. This study explored the crosstalk between the microbiome and metabolites in AP mice.MethodsExperimental AP models were established by injecting C57/BL mice with seven doses of cerulein and one dose of lipopolysaccharide (LPS). Metagenomics and untargeted metabolomics were used to identify systemic disturbances in the microbiome and metabolites, respectively, during the progression of AP.ResultsThe gut microbiome of AP mice primarily included Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria, and “core microbiota” characterized by an increase in Proteobacteria and a decrease in Actinobacteria. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that significantly different microbes were involved in several signaling networks. Untargeted metabolomics identified 872 metabolites, of which lipids and lipid-like molecules were the most impacted. An integrated analysis of metagenomics and metabolomics indicated that acetate kinase (ackA) gene expression was associated with various gut microbiota, including Alistipes, Butyricimonas, and Lactobacillus, and was strongly correlated with the metabolite daphnoretin. The functional gene, O-acetyl-L-serine sulfhydrylase (cysK), was associated with Alistipes, Jeotgalicoccus, and Lactobacillus, and linked to bufalin and phlorobenzophenone metabolite production.ConclusionThis study identified the relationship between the gut microbiome and metabolite levels during AP, especially the Lactobacillus-, Alistipes-, and Butyricimonas-associated functional genes, ackA and cysK. Expression of these genes was significantly correlated to the production of the anti-inflammatory and antitumor metabolites daphnoretin and bufalin.
Comparison of fetal heart rate baseline estimation by the cardiotocograph network and clinicians: a multidatabase retrospective assessment study
Authors: Bai Jieyun , Pan Xiuyu , Lu Yaosheng , Zhong Mei , Wang Huijin , Zheng Zheng , Guo Xiaohui 
Published: August 2023

BackgroundThis study aims to compare the fetal heart rate (FHR) baseline predicted by the cardiotocograph network (CTGNet) with that estimated by clinicians.Material and methodsA total of 1,267 FHR recordings acquired with different electrical fetal monitors (EFM) were collected from five datasets: 84 FHR recordings acquired with F15 EFM (Edan, Shenzhen, China) from the Guangzhou Women and Children's Medical Center, 331 FHR recordings acquired with SRF618B5 EFM (Sanrui, Guangzhou, China), 234 FHR recordings acquired with F3 EFM (Lian-Med, Guangzhou, China) from the NanFang Hospital of Southen Medical University, 552 cardiotocographys (CTG) recorded using STAN S21 and S31 (Neoventa Medical, Mölndal, Sweden) and Avalon FM40 and FM50 (Philips Healthcare, Amsterdam, The Netherlands) from the University Hospital in Brno, Czech Republic, and 66 FHR recordings acquired using Avalon FM50 fetal monitor (Philips Healthcare, Amsterdam, The Netherlands) at St Vincent de Paul Hospital (Lille, France). Each FHR baseline was estimated by clinicians and CTGNet, respectively. And agreement between CTGNet and clinicians was evaluated using the kappa statistics, intra-class correlation coefficient, and the limits of agreement.ResultsThe number of differences &lt;3 beats per minute (bpm), 3-5 bpm, 5–10 bpm and ≥10 bpm, is 64.88%, 15.94%, 14.44% and 4.74%, respectively. Kappa statistics and intra-class correlation coefficient are 0.873 and 0.969, respectively. Limits of agreement are −6.81 and 7.48 (mean difference: 0.36 and standard deviation: 3.64).ConclusionAn excellent agreement was found between CTGNet and clinicians in the baseline estimation from FHR recordings with different signal loss rates.
Vs30 and depth to bedrock estimates from integrating HVSR measurements and geology-slope approach in the Oslo area, Norway
Authors: Ghione Federica , Köhler Andreas , Dichiarante Anna Maria , Aarnes Ingrid , Oye Volker 
Published: August 2023

In order to estimate well-constrained seismic hazard and risk on local scales, the knowledge of site amplification factors is one of several important requirements. Seismic hazard studies on national or regional scales generally provide the level of earthquake shaking only at bedrock conditions, thereby avoiding the difficulties that are caused through local site effects. Oftentimes, local site conditions are not well understood or even non-existent. In this study we investigate an efficient and non-invasive methodology to derive the local average shear wave velocity in the uppermost 30 m of the ground (Vs30). The Vs30 value is a useful parameter to define soil classes and soil amplification used in seismic hazard assessment and to extend the knowledge of the site to include the depth to basement rock. At the level of the municipality of Oslo, there is currently no map available that describes the Vs30, and as such any seismic risk study is lacking potentially critical information on local site amplification. The new proposed methodology includes the use of existing well databases (with knowledge on minimum basement depth), topographic slope derived from Digital Elevation Models (as a proxy for both depth to basement and Vs30, integrated with geological maps) and near-surface Quaternary geological maps. The Horizontal to Vertical Spectral Ratio (HVSR) method and a statistics-based geological mapping tool (COHIBA) are used to integrate the various sources of data estimates. Finally, we demonstrate our new methodology and workflow with data from three different regions within the Oslo municipality and propose an approach to conduct cost-efficient mapping for seismic site amplification on a general municipality scale.
The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review and meta-analysis
Authors: Zhang Youjin , Li Shiyun , Nie Haiyan , Wang Xue , Li Xuanxuan , Wen Jinhui , Li Mengxi , Song Yongyan 
Published: August 2023

BackgroundThe relationships of the rs17782313 polymorphism near melanocortin 4 receptor gene (MC4R) and the rs8192678 polymorphism in peroxisome proliferator-activated receptor gamma coactivator 1 alpha gene (PGC1α) with metabolic abnormalities have been explored in many populations around the world, but the findings were not all consistent and sometimes even a bit contradictory.MethodsElectronic databases including Medline, Scopus, Embase, Web of Science, CNKI and Google Scholar were checked for studies that met the inclusion criteria. Data were carefully extracted from eligible studies. Standardized mean differences (SMDs) were calculated by using a random-effects model to examine the differences in the indexes of obesity, glucometabolic disorder and dyslipidemia between the genotypes of the rs17782313 and rs8192678 polymorphisms. Cochran’s Q-statistic test and Begg’s test were employed to identify heterogeneity among studies and publication bias, respectively.ResultsFifty studies (58,716 subjects) and 51 studies (18,660 subjects) were respectively included in the pooled meta-analyses for the rs17782313 and rs8192678 polymorphisms. The C-allele carriers of the rs17782313 polymorphism had a higher average level of body mass index (SMD = 0.21 kg/m2, 95% confidence interval [95% CI] = 0.12 to 0.29 kg/m2, p &lt; 0.001), waist circumference (SMD = 0.14 cm, 95% CI = 0.06 to 0.23 cm, p &lt; 0.001) and blood glucose (SMD = 0.09 mg/dL, 95% CI = 0.02 to 0.16 mg/dL, p = 0.01) than the TT homozygotes. Regarding the rs8192678 polymorphism, no significant associations with the indexes of obesity, glucometabolic disorder and dyslipidemia were detected. However, significant correlations between the rs8192678 polymorphism and multiple glucometabolic indexes were observed in subgroup analyses stratified by sex, age, ethnicity and health status.ConclusionThe meta-analysis demonstrates that the C allele of the MC4R rs17782313 polymorphism confers a higher risk of obesity and hyperglycemia, and the PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder. These findings may partly explain the relationships between these variants and diabetes as well as cardiovascular disease.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42022373543.
Research on CNN-LSTM DC power system fault diagnosis and differential protection strategy based on reinforcement learning
Authors: Yang Yun , Tu Feng , Huang Shixuan , Tu Yuehai , Liu Ti 
Published: August 2023

Introduction: With the development of artificial intelligence technology, more and more fields are applying deep learning and reinforcement learning techniques to solve practical problems. In the power system, both the direct current (DC) power system and the power grid substation are important components, and their reliability and stability are crucial for production efficiency and safety. The power grid substation is used to convert power from high-voltage transmission lines to low-voltage transmission lines, or from alternating current to direct current (or vice versa), in order to efficiently transmit and distribute power in the power system. However, diagnosing faults and designing cascaded protection strategies has always been a challenge due to the complexityand uncertainty of the DC power system.Methods: To improve the reliability and stability of the DC power system and power grid substation, this paper aims to develop an intelligent fault diagnosis system and cascaded protection strategy to reduce faults and downtime, lower maintenance costs, and increase production efficiency. We propose a method based on reinforcement learning and a convolutional neural network-long short-term memory (CNN-LSTM) model for fault diagnosis and cascaded protection strategy design in the DC power system. CNN is used to extract features from raw data, while LSTM models time-series data. In addition, we use reinforcement learning to design cascaded protection strategies to protect the power system from the impact of faults.Results: We tested our method using real 220V DC power system data in experiments. The results show that our method can effectively diagnose faults in the DC power system and formulate effective cascaded protection strategies.Discussion: Compared with traditional methods, this intelligent method can diagnose faults faster and more accurately, and formulate better cascaded protection strategies. This method helps reduce maintenance costs, increase production efficiency, and can be applied to other fields.