bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPLEMENTATION OF ARABIC LEARNING IN JUNIOR HIGH SCHOOL
Authors: Zulheddi Zulheddi , Wardani Sefira 
Published: May 2023

This study aims to analyze: 1) Learning Arabic in Galih Agung Private Junior High School, 2) Implementation of learning Arabic in Galih Agung Private Junior High School. 3) The results of the implementation of Arabic learning in Galih Agung Private Junior High School.
This research is a qualitative descriptive study. Descriptive research was designed to obtain information about the symptoms of the status when the study was conducted. The sources of primary data in this study are data obtained from events in the study or existing witnesses, such as interviews with principals, teachers and related students. While the sources of data in this study are documents related to learning Arabic and outside the specified informants.
The results of the study show that: 1) Arabic learning in Galih Agung Private Junior High School includes: curriculum, objectives, methods and evaluation system for Arabic learning. The pesantren curriculum (Arabic language material) applied to Galih Agung Private Junior High School students includes: Arabic, Al-khat, Tauhid, Mahfuzat, Nahwu, Sorof, Tafsir, Muthala'ah, Fiqh, Faraidh, Insha', and Imla'. 2) The implementation of Arabic learning at Galih Agung Private Junior High School is carried out every day, with different Arabic subjects. 3) The results of the implementation of Arabic learning there are few students who are not fluent in Arabic because these students come from public elementary schools (SD) not from Madrasah Ibtidaiyah (MI) or Integrated Islamic Elementary Schools (SDIT).
THE USE OF INTERNET AS A MEDIUM FOR LEARNING
Authors: Prihatin Nyimas Yunierti , Parinduri Muhammad Abrar , Lubis Siti Hawa , Purnomo Halim , Valero Mata Jesus Alberto 
Published: May 2023

This study aims to find out: a) How is the use of the internet as a learning medium for Islamic Religious Education at SMK Negeri 3 Palembang? b) What are the supporting factors for using the internet as a learning medium for Islamic Religious Education at SMK Negeri 3 Palembang? c) What are the inhibiting factors for using the internet as a learning medium for Islamic Religious Education at SMK Negeri 3 Palembang?
This study uses descriptive qualitative type research using data collection instruments in the form of observation, interviews, and documentation. The informants in this study were three PAI teachers, school principals, vice principals, and students in grades X, XI, and XII. The research is used to analyze data from data collection based on observation, interviews, and documentation, then perform data reduction, then present and finally draw conclusions from the data that has been obtained.
Based on the results of the research that has been done, the researcher can conclude that the use of the internet as a learning medium for Islamic education at SMK Negeri 3 Palembang has been going well; that evidence this: a). The internet helps facilitate access to Islamic Religious Education subjects, b). Internet availability as a learning resource for Islamic religious education, c). The accuracy of the internet function as a learning resource, and d). The use of the internet can help learning achievement. The supporting factors for using the internet as a learning medium for Islamic Religious Education at SMK Negeri 3 Palembang are: a). Teachers master information technology/computer science, b). Students master computer operations, schools provide computer facilities, and also subscribe to internet service provider companies at PT. Telkom, and also the provision of internet hotspots accessible to classrooms. While the inhibiting factors for the use of the internet as a learning medium for Islamic Education at SMK Negeri 3 Palembang namely: a). Computer damage due to virus attack, b). The internet network link and slow internet access are damaged because too many people are using it simultaneously.
Inteligência Artificial, Educação e Responsabilidade Social
Authors: Baranauskas Maria Cecília Calani , Valente José Armando 
Published: May 2023

Esta edição resulta de submissões de trabalhos estendidos da II International Conference in Information Technology & Education (ICITED) à revista. Nesta edição, a Revista Tecnologias, Sociedade e Conhecimento divulga um trabalho de pesquisa relacionado à mensuração do desempenho acadêmico de estudantes do ensino secundário em Portugal, realizada por meio de métodos da Inteligência Artificial (IA). Dados dos exames nacionais de matemática e português da população portuguesa no ano letivo 2018/2019 são utilizados para alimentar algoritmos de IA e levantar fatores que afetam os resultados dos estudantes nesses exames.
A contribuição deste volume para o espaço de discussão da revista foi escrita por cinco autores afiliados à Nova Information Management School, uma escola de Gestão de Informação e de Ciência de Dados da Universidade Nova de Lisboa. O trabalho envolve a temática do desempenho acadêmico, medida por meio de métodos e tecnologias de IA, com potencial impacto em políticas públicas.
Prediction of Casing Collapse Resistance by 3D Finite Element Modeling
Authors: Lin Bisen , Coe David , Harris Richard , Klever Frans 
Published: May 2023

Summary
3D outside diameter (OD) and wall thickness mapping of a casing joint consists of synchronized OD laser scanning and ultrasonic testing (UT) wall thickness measurement at a resolution of every 1 in. along the length and every 1° or 2° around the circumference. This full-length mapping data can then be used to construct a 3D finite element analysis (FEA) model that captures the geometric attributes, including OD, wall thickness, OD ovality, and wall eccentricity, of a casing joint. Together with the actual nonlinear material plasticity model and the measured as-manufactured residual stress, the 3D FEA model can predict the casing collapse strength with good accuracy. Also, the Klever-Tamano ultimate limit-state (KT ULS) collapse equation per API TR 5C3 (2018) together with a moving-average (MA) scheme can calculate the joint’s collapse strength.
Results predicted by 3D FEA and KT ULS collapse models are compared to the actual full-scale collapse test results. A 3D FEA model generally produces more accurate results than the KT collapse equation. In addition, both 3D FEA and KT collapse models predict a collapse pressure slightly lower than the actual collapse pressure, which is therefore on the conservative side.
The prediction of casing collapse strength can be beneficial to the end user in sorting and ranking the casing joints by collapse resistance, and therefore provides valuable information that can be used in the end user’s risk assessment. Furthermore, the end user may potentially select the joints with the highest predicted collapse strength for the portion of the casing string where the highest collapse resistance is desired.
In addition, the OD and wall mapping data together with the actual material tensile properties (yield strength, ultimate tensile strength, and strain hardening parameters) can be used in estimating the internal yield, ductile rupture pressures, and other performance properties. This is outside the scope of this paper and can be pursued in future work. These predicted casing performance properties may then be used in sorting and ranking the joints based on a specific performance property of interest or a combination of performance properties.
Identifying secreted biomarkers of dopaminergic ventral midbrain progenitor cells
Authors: Rifes Pedro , Isaksson Marc , Rusimbi Charlotte , Santoja Adrian Ramón , Wahlestedt Jenny Nelander , Laurell Thomas , Kirkeby Agnete 
Published: May 2023

Abstract

Background:Ventral midbrain (VM) dopaminergic progenitor cells derived from human pluripotent stem cells have the potential to replace endogenously lost dopamine neurons and are currently in preclinical and clinical development for treatment of Parkinson’s Disease (PD). However, one main challenge in the quality control of the cells is that rostral and caudal VM progenitors are extremely similar transcriptionally though only the caudal VM cells give rise to dopaminergic (DA) neurons with functionality relevant for cell replacement in PD. Therefore, it is critical to develop assays which can rapidly and reliably discriminate rostral from caudal VM cells during clinical manufacturing.Methods:We performed shotgun proteomics on cell culture supernatants from rostral and caudal VM progenitor cells to search for novel secreted biomarkers specific to DA progenitors from the caudal VM. Key hits were validated by qRT-PCR and ELISA.Results:We identified and validated several novel secreted markers significantly enriched in caudal VM progenitor cultures (CPE, LGI1 and PDGFC), and found that these markers correlated strongly with the intracellular expression ofEN1, which is a predictive marker for successful graft outcome in DA cell transplantation products. Other markers (CNTN2 and CORIN) were found to be significantly enriched in the non-dopaminergic rostral VM cultures. Key novel ELISA markers were further validated on supernatant samples from GMP-manufactured caudal VM batches.Conclusion:We propose a panel of coupled ELISA assays that can be applied as non-invasive quality control tests for validating correct patterning of caudal VM DA cells during clinical manufacturing.
The association between sarcopenia and incident of depressive symptoms: A prospective cohort study
Authors: Li Zhenzhen , Liu Bingqing , Tong Xiang , Ma Yao , Bao Ting , Wu Chenkai , Yue Jirong 
Published: May 2023

Abstract
Background Epidemiological studies have shown that sarcopenia was associated with depression among older adults. However, most of these investigations used a cross-sectional design, limiting the ability to establish a causal relation, the present study examined whether sarcopenia was associated with incident depressive symptoms.Methods This is a prospective cohort study with participants from the Western China Health and Aging Trends (WCHAT) study. Participants could complete anthropometric measurements and questionnaires were included. The exposure was sarcopenia, defined according to the Asian Working Group for Sarcopenia in 2019, the outcome was depressive symptoms, evaluated by GDS-15. We excluded depression and depressive symptoms at baseline and calculated the risk of incident depressive symptoms during the follow-up year.Results A total of 2612 participants (mean age of 62.14 ± 8.08 years) were included, of which 493 with sarcopenia. 78 (15.82%) participants with sarcopenia had onset depressive symptoms within the next year. After multivariable adjustment, sarcopenia increased the risk of depressive symptoms (RR = 1.651, 95%CI = 1.087–2.507, P = 0.0187) in overall participants. Such relationship still exists in gender and sarcopenia severity subgroups. Low muscle mass increased the risk of depressive symptoms (RR = 1.600, 95%CI = 1.150–2.228, P = 0.0053), but low muscle strength had no effect (RR = 1.250, 95%CI = 0.946–1.653, P = 0.117).Conclusions Sarcopenia is an independent risk factor for depressive symptoms, Precautions to early detect and targeted intervene for sarcopenia should continue to be employed in adult with sarcopenia to achieve early prevention for depression and reduce the incidence of adverse clinical outcomes.
Omicron-Specific and Bivalent Omicron-Containing Vaccine Candidates Elicit Potent Virus Neutralisation in the Animal Model
Authors: Abdoli Asghar , Jamshidi Hamidreza , Taqavian Mohammad , Baghal Mehdi Lari , Jalili Hasan 
Published: May 2023

Abstract
Omicron variant (B.1.1.529) is able to escape from naturally acquired and vaccine-induced immunity, which mandates updating the current COVID-19 vaccines. Here, we investigated and compared the neutralising antibody induction of the ancestral variant-based BIV1-CovIran vaccine, the Omicron variant-based BIV1-CovIran Plus vaccine, and the novel bivalent vaccine candidate, BBIV1-CovIran, against the Omicron and ancestral Wuhan variants on the rat model. After inactivating the viral particles, the viruses were purified and formulated. Bivalent vaccines were a composition of 2.5 micrograms (5 micrograms total) or 5 micrograms (10 micrograms total) doses of each ansectral-based and Omicron-based monovalent vaccine. Subsequently, the potency of the monovalent and bivalent vaccines was investigated using the virus neutralisation test (VNT). The group that received three doses of the Omicron-specific vaccine demonstrated neutralisation activity against the Omicron variant with a geometric mean titer of 337.8. However, three doses of the Wuhan variant-specific vaccine could neutralise the Omicron variant at a maximum of 1/32 serum dilution. The neutralisation activity of the Omicron-specific vaccine, when administered as the booster dose after two doses of the Wuhan variant-specific vaccine, was 100% against the Omicron variant and the Wuhan variant at 1/64 and 1/128 serum dilution, respectively. Three doses of 5 micrograms bivalent vaccine could effectively neutralise both variants at the minimum of 1/128 serum dilution. The 10 micrograms bivalent vaccine at three doses showed even higher neutralisation titers: geometric mean titer of 338.0 against Omicron and 445.7 against Wuhan). It is shown that the candidate bivalent and Omicron-specific vaccines could elicit a potent immune response against both Wuhan-Hu-1 and Omicron BA.1 variants.
Sulindac inhibits the proliferation and promotes apoptosis of laryngeal cancer cells by down-regulating the AKT/β-catenin pathway
Authors: Bian Jiawei , Zhou Yulin , Zhu Wanglong , Ma Keyi , Chen Jia , Huang Shi , Huang Chaoping , Fan Jiangang , Wu Jiaqing , Chen Lan , Nie Lei , Meng Lianyi , Song Minjie , Yang Yuhan , Wang Yi , Zhang Kun 
Published: May 2023

Abstract
Background: Laryngeal cancer is one of the most common tumors in the head and neck. Uncertainty of targets, mechanisms, and lack of effective drugs largely limit laryngeal cancer prevention and clinical treatment. Therefore, there is an urgent need to develop new drug candidates to prevent and treat laryngeal cancer.
Methods: In this study, laryngeal cancer Tu212 and Tu686 cells were treated with different concentrations of sulindac, and their effects on the proliferation, cell cycle, and apoptosis of laryngeal cancer cells were detected by CCK-8, clone formation assay, and flow cytometry; Western-blot was used to detect the effects of sulindac on proliferation and apoptosis-related proteins.
Results: Sulindac can dose-dependently block the G1/S phase of the laryngeal cancer Tu686 and Tu212 cell cycle to inhibit cell proliferation and significantly induce laryngeal cancer cell apoptosis. Besides, Western blotting also confirmed that the relative expressions of cell cycle-related proteins CyclinD1 and c-Myc were down-regulated; apoptosis-related proteins Bcl-2, Caspase-3, and Survivin were down-regulated, Bax and Cleaved caspase-3 were up-regulated. In addition, sulindac can down-regulate the expression of p-Akt and β-catenin.
Conclusion: Our study found that sulindac can inhibit the proliferation of laryngeal cancer cells and induce apoptosis by down-regulating the expression of the AKT/β-catenin pathway. Research on the anti-laryngeal cancer properties of sulindac is still very scarce. Our research provides an important theoretical basis for the clinical application of sulindac in the prevention and treatment of laryngeal cancer.
An approach of scoring early host immune response from oro-nasopharyngeal swabs predicts covid-19 outcome providing possibility of early therapeutic intervention
Authors: Pal Jagannath , Rajput Yogita , Neral Arvind , Sherwani Nikita , Jain Vijaylakshmi , Sahu Malti , Paikra Fulsay , Lodhi Heeramani , Panda Ravindra , Jain Vinit , sundrani Omprakash , shammas MASOOD 
Published: May 2023

Abstract
Unpredictable fatal outcome of COVID-19 is attributed to dysregulated inflammation. The purpose of this study was to develop biomarkers for early detection of host immune impairment which may in turn identify high risk patients. We used RT-PCR to evaluate if impaired anti-inflammatory response (as defined by undetectable IL-10 in the presence of high expression of a representative interferon response gene) and/or impaired adaptive T cell response, assessed in leftover RNA samples extracted from oro-nasopharyngeal swab of COVID-19 patients at diagnosis, could serve as early prognostic marker/s. We demonstrate that a T cell response based ‘severity score’ comprising rational combination of Ct values of target genes can identify high risk noncomorbid potentially critical COVID-19 patients with a sensitivity of 91% (95% CI:58.7-99.8) and specificity of 92.6% (95% CI:75.7-99). Although inclusion of co-morbid patients reduced sensitivity to 77% (95% CI: 54.6-92.2), the specificity was still 94% (95% CI: 79.8-99.3). The work flow developed in the same pipeline of the COVID-19 diagnostic samples can also reduce expenditure and reporting time of the test for an earliest clinical decision ensuring possibility of early prophylactic treatment and rational management of patients.
The role and mechanism of miR-92a in endothelial autophagy
Authors: Cao Weili , Zhao Boxin , Gui Lin , Sun Xueyuan , Zhang Zhiyong , Huang Lijuan 
Published: May 2023

Abstract
Vascular endothelial cells (EC) are monolayer flat cells that form the vascular wall, and their dysfunction plays an important role in the pathogenesis of cardiovascular diseases.MicroRNA (miRNA) is a key regulatory factor that regulates multiple functions of EC, and is an ideal choice for diagnosis and treatment of various cardiovascular diseases.It is reported that miR-92a is up-regulated in the serum and cardiovascular tissues of patients with cardiovascular diseases. Elevated miR-92a leads to EC dysfunction by promoting EC inflammation, cell apoptosis and oxidative stress.However, it is not clear whether miR-92a affects EC autophagy. Therefore, the purpose of this study is to explore the effect of mir-92a on EC autophagy and the molecular mechanism of regulating EC autophagy.The autophagy inducer rapamycin (rapa) was used to treat EA. hy926 endothelial cells to construct endothelial cell autophagy model; The expression level of miR-92a was detected by qRT-PCR;The effect of miR-92a on the autophagy activity of EA. hy926 endothelial cells was studied by using liposome transfection technology to overexpress or inhibit miR-92a ;The level of autophagy was evaluated by western blot, immunofluorescence staining and transmission electron microscopy;Bioinformatics software and double luciferase experiment were used to to screen and confirm the combination of miR-92a and FOXO3;The results showed that the expression of miR-92a increased in the rapa-induced autophagy model of EA. hy926 endothelial cells;The experimental results after overexpression and inhibition of miR-92a showed that the up-regulation of miR-92a inhibited the autophagy of endothelial cells, while the inhibition of miR-92a promoted the autophagy of endothelial cells.In addition, miR-92a can directly bind to the 3 'untranslated region of the autophagy-related gene FOXO3 and reduce the expression of FOXO3.In conclusion, this study suggests that miR-92a may affect the occurrence and development of cardiovascular diseaseIn by targeting FOXO3 to inhibit the autophagy activity of EA. hy926 endothelial cells.
In silico clinical studies for the design of optimal COVID-19 vaccination schedules in patients with cancer
Authors: Jain Rakesh , Voutouri Chrysovalantis , Hardin C. Corey , Naranbhai Vivek , Nikmaneshi Mohammad , Khandekar Melin , Gainor Justin , Stylianopoulos Triantafyllos , Munn Lance 
Published: May 2023

Abstract
As we approach an endemic phase of COVID-19, there is an urgent need for the development of novel and flexible tools to predict the effectiveness of COVID-19 vaccines over the long term. This is particularly evident for patients with significant comorbidities, such as cancer, who may be underrepresented in general vaccine cohorts. More rigorous and scientifically grounded guidelines may help reduce the now prevalent "vaccine fatigue" (Stamm et al., Nature Medicine 2023). We propose that in silico clinical studies, i.e., use of computer simulations for the evaluation of a medicinal product or intervention, is a feasible solution. We have developed a mechanistic mathematical model of SARS-CoV-2 infection to better understand the mechanisms of COVID-19, that account for the specific characteristics of novel variants, including immune evasion and replicative potential. Previously, we used this modeling framework to predict the long-term effectiveness of COVID-19 vaccines in healthy individuals and those who have cancer or suppressed immune responses and performed in silico studies to predict vaccines effectiveness (Voutouri, et al, PNAS 2023). Here we present a comparison of our model predictions with data on bivalent vaccines. Our modeling framework provides a useful tool for predicting the effectiveness of booster doses for different vaccine variants, and our findings suggest that bivalent boosters are particularly effective for patients with cancer We hope that our study will contribute to the development of effective vaccination strategies for vulnerable populations.
Study on Etiological Shunting of Neonatal Cholestasis by High-Frequency Ultrasound Combined with Clinical Indicators
Authors: Xu Yaxuan , Tao Guowei , Sun Xiubin , Liu Qun , Li Wen , Zhou Dong , Zhuo Jing , Shi Dandan , Meng Dong , Huang Xiaoyang , Zhang Qiangye , Cong Xiang 
Published: May 2023

Abstract
Purpose Retrospectively evaluating the biliary atresia (BA) - related ultrasound (US) and clinical indictors and exploring the feasibility of surgical shunting for neonatal cholestasis (NC) with a simplified two-step strategy: clinical indicators and US evaluation.
Methods A total of 152 infants were enrolled and divided into BA group (80 cases) and non-BA group (72 cases). Their detailed US signs, clinical features and laboratory tests were collected, and their diagnostic performances were compared.
Results Among physical and routine laboratory indicators: pale stool, hepatomegaly, γ-glutamyl transferase > 117 U/L, direct bilirubin > 87.7 μmol/L, total bilirubin > 131.9 μmol/L appeared significantly different between the two groups. They could act as the early warning indicators for detailed US evaluation. The combination of the following five US signs had better diagnostic efficiency with highest sensitivity (100%): “anterior-wall thickness of the right portal vein >1.6 mm”, “triangular cord sign”, “portal vein diameter > 5.1 mm”, “hepatic subcapsular flow” or “porta hepatic cystic or tubular echoes”. They might act as US shunting signs for surgical exploration. Among the signs of abnormal gallbladder, “irregular gallbladder wall” showed higher efficiency (AUC 0.733), which followed by fasting gallbladder length ≤ 1.8 cm and non-visualization of gallbladder. Moreover, a new laboratory indicator - the matrix metallopeptidase-7 (MMP-7)had an excellent diagnostic value (AUC 0.989) with a cut-off value of 14.04 ng/ml.
Conclusions When the early clinical warning indicators appears in NC children, the intensive US evaluation may be helpful in the etiology shunting. And widely use of MMP-7 is promising.