bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Students' Knowledge and Attention or Concern using Learning Videos on Renewable Energy
Authors: Nugraini Siti Hadiati , Nugroho Yusro Edy 
Published: June 2023

AbstractThis research describes the evaluation of students when learning videos on renewable energy to increase students' knowledge and awareness about reducing fossil energy. Learning models, namely learning videos and other features, support student learning processes. Some of the learning videos describe Biodiesel or renewable energy sources derived from vegetable resources, namely used cooking oil, which is one of the current crucial problems regarding reducing fossil energy that must be addressed immediately. Students, as the nation's young generation, are less concerned about this problem, so there is a need for a learning model about renewable energy that can increase student knowledge and concern about the current reduction in fossil energy. One alternative learning model to clarify this subject is through Renewable Energy themed Learning Videos in Audio Visual class. The research method used is a descriptive qualitative method and a quantitative method. Respondents in this study were 60 students from the Audio Visual subject group. The Learning Model fully uses Learning Videos. Evaluation of the impact of this learning model shows that, in fact, with this learning model, the knowledge and attention or concern of students increases after participating in the learning process using learning videos with the theme of renewable energy. Keywords: evaluation, learning model, learning video, renewable energy AbstrakPenelitian ini mendeskripsikan hasil evaluasi siswa ketika mempelajari video energi terbarukan untuk meningkatkan pengetahuan dan kesadaran siswa tentang pengurangan energi fosil. Model pembelajaran yaitu video pembelajaran dan fitur lainnya mendukung proses belajar siswa. Beberapa video pembelajaran menjelaskan tentang Biodiesel atau sumber energi terbarukan yang berasal dari sumber daya nabati yaitu minyak jelantah yang merupakan salah satu permasalahan krusial saat ini terkait pengurangan energi fosil yang harus segera diatasi. Pelajar sebagai generasi muda bangsa kurang memperhatikan masalah ini, sehingga perlu adanya model pembelajaran tentang energi terbarukan yang dapat meningkatkan pengetahuan dan kepedulian siswa terhadap pengurangan energi fosil saat ini. Salah satu alternatif model pembelajaran untuk memperjelas mata kuliah ini adalah melalui Video Pembelajaran bertema Energi Terbarukan di kelas Audio Visual. Metode penelitian yang digunakan adalah metode kualitatif deskriptif dan metode kuantitatif. Responden dalam penelitian ini adalah 60 siswa dari kelompok mata pelajaran Audio Visual. Model pembelajaran sepenuhnya menggunakan video pembelajaran. Evaluasi dampak model pembelajaran ini menunjukkan bahwa sebenarnya dengan model pembelajaran ini pengetahuan dan perhatian atau kepedulian siswa meningkat setelah mengikuti proses pembelajaran menggunakan video pembelajaran bertema energi terbarukan. Keywords: evaluasi, energi terbarukan, model pembelajaran, video pembelajaran
Immunomodulatory effects of testosterone and letrozole during Plasmodium berghei ANKA infection
Authors: Nolasco-Pérez Teresita de Jesús , Cervantes-Candelas Luis Antonio , Buendía-González Fidel Orlando , Aguilar-Castro Jesús , Fernández-Rivera Omar , Salazar-Castañón Víctor Hugo , Legorreta-Herrera Martha 
Published: June 2023

IntroductionMalaria is one of the leading health problems globally. Plasmodium infection causes pronounced sexual dimorphism, and the lethality and severity are more remarkable in males than in females. To study the role of testosterone in the susceptibility and mortality of males in malaria, it is common to increase its concentration. However, this strategy does not consider the enzyme CYP19A1 aromatase, which can transform it into oestrogens.MethodsTo avoid the interference of oestrogens, we inhibited in vivo CYP19A1 aromatase with letrozole and increased the testosterone level by exogen administration before infection with Plasmodium berghei ANKA. We measured the impact on free testosterone, 17β-oestradiol and dehydroepiandrosterone levels in plasma; additionally, we evaluated parasitaemia, body temperature, body mass, glucose levels and haemoglobin concentration. Furthermore, we evaluated the effects of testosterone on the immune response; we quantified the CD3+/CD4+, CD3+/CD8+, CD19+, Mac-3+ and NK cells in the spleen and the plasma concentrations of the cytokines IL-2, IL-4, IL-6, IFN-, IL-10, TNF-α and IL-17A. Finally, we quantified the levels of antibodies.ResultsWe found that mice treated with the combination of letrozole and testosterone and infected with Plasmodium berghei ANKA had increased concentrations of free testosterone and DHEA but decreased levels of 17β-oestradiol. As a result, parasitaemia increased, leading to severe anaemia. Interestingly, testosterone increased temperature and decreased glucose concentration as a possible testosterone-mediated regulatory mechanism. The severity of symptomatology was related to critical immunomodulatory effects generated by free testosterone; it selectively increased CD3+CD8+ T and CD19+ cells but decreased Mac-3+. Remarkably, it reduced IL-17A concentration and increased IL-4 and TNF-α. Finally, it increased IgG1 levels and the IgG1/IgG2a ratio. In conclusion, free testosterone plays an essential role in pathogenesis in male mice by increasing CD8+ and decreasing Mac3+ cells and mainly reducing IL-17A levels, which is critical in the development of anaemia. Our results are important for understanding the mechanisms that regulate the exacerbated inflammatory response in infectious diseases and would be useful for the future development of alternative therapies to reduce the mortality generated by inflammatory processes.
Metabolic changes of glycerophospholipids during the reparative phase after myocardial infarction injury
Authors: Wang Jin , Yu Xinyi , Wang Tingyu , Cai Wenbin , Hua Tong , Duan Jinjie , Zhang Xu , Zhu Yi , Yao Liu 
Published: June 2023

IntroductionMyocardial infarction (MI) is a fatal manifestation of coronary heart disease, and its underlying mechanism is still largely unknown. Lipid levels and composition alterations predict the risk of MI complications. Glycerophospholipids (GPLs) are important bioactive lipids and play a crucial role in the development of cardiovascular diseases. However, the metabolic changes in the GPLs profile during post-MI injury remain unknown.MethodsIn the current study, we constructed a classic MI model by ligating the left anterior descending branch and assessed the alterations in both plasma and myocardial GPLs profiles during the reparative phase post-MI by liquid chromatography–tandem mass spectrometry analysis.ResultsWe found that myocardial GPLs, but not plasma GPLs, were markedly changed after MI injury. Importantly, MI injury is associated with decreased phosphatidylserine (PS) levels. Consistently, the expression of phosphatidylserine synthase 1 (PSS1), which catalyzes the formation of PS from its substrate phosphatidylcholine, was significantly reduced in heart tissues after MI injury. Furthermore, oxygen-glucose deprivation (OGD) inhibited PSS1 expression and reduced PS levels in primary neonatal rat cardiomyocytes, while overexpression of PSS1 restored the inhibition of PSS1 and the reduction in PS levels caused by OGD. Moreover, overexpression of PSS1 abrogated, whereas knockdown of PSS1 aggravated, OGD-induced cardiomyocyte apoptosis.ConclusionsOur findings revealed that GPLs metabolism was involved in the reparative phase post-MI, and cardiac decreased PS levels, resulting from inhibition of PSS1, are important contributor to the reparative phase post-MI. PSS1 overexpression represents a promising therapeutic strategy to attenuate MI injury.
Mendelian randomization study reveals a causal relationship between serum iron status and coronary heart disease and related cardiovascular diseases
Authors: Liu Fenglan , Liu Yanfei , Xu Shihan , Wang Qing , Xu Fengqin , Liu Yue 
Published: June 2023

BackgroundGrowing observational studies have shown that abnormal systemic iron status is associated with Coronary heart disease (CHD). However, these results from observational studies was not entirely consistent.It remains unclear whether this relationship represents causality.It is necessary to explore the causal relationship between iron status and CHD and related cardiovascular diseases (CVD).ObjectiveWe aimed to investigate the potential casual relationship between serum iron status and CHD and related CVD using a two-sample Mendelian randomization (MR) approach.MethodsGenetic statistics for single nucleotide polymorphisms (SNPs) between four iron status parameters were identified in a large-scale genome-wide association study (GWAS) conducted by the Iron Status Genetics organization. Three independent single nucleotide polymorphisms (SNPs) (rs1800562, rs1799945, and rs855791) aligned with four iron status biomarkers were used as instrumental variables. CHD and related CVD genetic statistics We used publicly available summary-level GWAS data. Five different MR methods random effects inverse variance weighting (IVW), MR Egger, weighted median, weighted mode, and Wald ratio were used to explore the causal relationship between serum iron status and CHD and related CVD.ResultsIn the MR analysis, we found that the causal effect of serum iron (OR = 0.995, 95% CI = 0.992–0.998, p = 0.002) was negatively associated with the odds of coronary atherosclerosis (AS). Transferrin saturation (TS) (OR = 0.885, 95% CI = 0.797–0.982, p = 0.02) was negatively associated with the odds of Myocardial infarction (MI).ConclusionThis MR analysis provides evidence for a causal relationship between whole-body iron status and CHD development. Our study suggests that a high iron status may be associated with a reduced risk of developing CHD.
Supporting pre-service teachers in developing research competence
Authors: Gussen Lea , Schumacher Fabian , Großmann Nadine , Ferreira González Laura , Schlüter Kirsten , Großschedl Jörg 
Published: June 2023

IntroductionTeachers need research competence to reflect on their teaching and to interpret and implement research-based recommendations. However, many pre-service teachers have critical attitudes toward research, little motivation to engage in research, and comparatively low knowledge of research methods and thereby consequently indicating a low research competence. Flexible online modules in university teaching could be a promising approach to address these issues. Online modules can potentially promote self-determined motivation, but should be sufficiently structured to support learners’ need for competence.MethodsWe designed two learning environments with different types of structure: a non-restrictive structured environment and a restrictive structured environment. A total of N = 108 pre-service biology teachers were randomly assigned to the two learning environments.Results and discussionContrary to our assumption, the restrictive type of structure of the learning environment did not lead to a higher perception of competence. This might be a consequence of external pressure, for example, the examination at the end of the course. Regarding pre-service teachers’ research competence, we found a decrease in the affective-motivational domain and an increase in the cognitive domain in both learning environments. These results suggest that fostering pre-service teachers’ research competence should focus on the affective-motivational domain. In order to positively affect this domain, care must be taken to ensure that structuring elements are not experienced as control and that given choices are meaningful to students.
Screening biomarkers for Sjogren’s Syndrome by computer analysis and evaluating the expression correlations with the levels of immune cells
Authors: Zhong Yafang , Zhang Wei , Liu Dongzhou , Zeng Zhipeng , Liao Shengyou , Cai Wanxia , Liu Jiayi , Li Lian , Hong Xiaoping , Tang Donge , Dai Yong 
Published: June 2023

BackgroundSjögren’s syndrome (SS) is a systemic autoimmune disease that affects about 0.04-0.1% of the general population. SS diagnosis depends on symptoms, clinical signs, autoimmune serology, and even invasive histopathological examination. This study explored biomarkers for SS diagnosis.MethodsWe downloaded three datasets of SS patients’ and healthy pepole’s whole blood (GSE51092, GSE66795, and GSE140161) from the Gene Expression Omnibus (GEO) database. We used machine learning algorithm to mine possible diagnostic biomarkers for SS patients. Additionally, we assessed the biomarkers’ diagnostic value using the receiver operating characteristic (ROC) curve. Moreover, we confirmed the expression of the biomarkers through the reverse transcription quantitative polymerase chain reaction (RT-qPCR) using our own Chinese cohort. Eventually, the proportions of 22 immune cells in SS patients were calculated by CIBERSORT, and connections between the expression of the biomarkers and immune cell ratios were studied.ResultsWe obtained 43 DEGs that were mainly involved in immune-related pathways. Next, 11 candidate biomarkers were selected and validated by the validation cohort data set. Besides, the area under curves (AUC) of XAF1, STAT1, IFI27, HES4, TTC21A, and OTOF in the discovery and validation datasets were 0.903 and 0.877, respectively. Subsequently, eight genes, including HES4, IFI27, LY6E, OTOF, STAT1, TTC21A, XAF1, and ZCCHC2, were selected as prospective biomarkers and verified by RT-qPCR. Finally, we revealed the most relevant immune cells with the expression of HES4, IFI27, LY6E, OTOF, TTC21A, XAF1, and ZCCHC2.ConclusionIn this paper, we identified seven key biomarkers that have potential value for diagnosing Chinese SS patients.
Characterization of a cuproptosis-related signature to evaluate immune features and predict prognosis in colorectal cancer
Authors: Li Lei , Sun Fengyuan , Kong Fanyang , Feng Yongpu , Song Yingxiao , Du Yiqi , Liu Feng , Kong Xiangyu 
Published: June 2023

PurposeCuproptosis is a newly discovered type of cell death. Little is known about the roles that cuproptosis related genes (CRGs) play in colorectal cancer (CRC). The aim of this study is to evaluate the prognostic value of CRGs and their relationship with tumor immune microenvironment.MethodsTCGA-COAD dataset was used as the training cohort. Pearson correlation was employed to identify CRGs and paired tumor-normal samples were used to identify those CRGs with differential expression pattern. A risk score signature was constructed using LASSO regression and multivariate Cox stepwise regression methods. Two GEO datasets were used as validation cohorts for confirming predictive power and clinical significance of this model. Expression patterns of seven CRGs were evaluated in COAD tissues. In vitro experiments were conducted to validate the expression of the CRGs during cuproptosis.ResultsA total of 771 differentially expressed CRGs were identified in the training cohort. A predictive model termed riskScore was constructed consisting of 7 CRGs and two clinical parameters (age and stage). Survival analysis suggested that patients with higher riskScore showed shorter OS than those with lower (P&lt;0.0001). ROC analysis revealed that AUC values of cases in the training cohort for 1-, 2-, and 3-year survival were 0.82, 0.80, 0.86 respectively, indicating its good predictive efficacy. Correlations with clinical features showed that higher riskScore was significantly associated with advanced TNM stages, which were further confirmed in two validation cohorts. Single sample gene set enrichment analysis (ssGSEA) showed that high-risk group presented with an immune-cold phenotype. Consistently, ESTIMATE algorithm analysis showed lower immune scores in riskScore-high group. Expressions of key molecules in riskScore model are strongly associated with TME infiltrating cells and immune checkpoint molecules. Patients with a lower riskScore exhibited a higher complete remission rate in CRCs. Finally, seven CRGs involved in riskScore were significantly altered between cancerous and paracancerous normal tissues. Elesclomol, a potent copper ionophore, significantly altered expressions of seven CRGs in CRCs, indicating their relationship with cuproptosis.ConclusionsThe cuproptosis-related gene signature could serve as a potential prognostic predictor for colorectal cancer patients and may offer novel insights into clinical cancer therapeutics.
Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study
Authors: Hwang Jae Kyoon , Kim Dae Hyun , Na Jae Yoon , Son Joonhyuk , Oh Yoon Ju , Jung Donggoo , Kim Chang-Ryul , Kim Tae Hyun , Park Hyun-Kyung 
Published: June 2023

IntroductionThe aim of this study is to develop an enhanced machine learning-based prediction models for bronchopulmonary dysplasia (BPD) and its severity through a two-stage approach integrated with the duration of respiratory support (RSd) using prenatal and early postnatal variables from a nationwide very low birth weight (VLBW) infant cohort.MethodsWe included 16,384 VLBW infants admitted to the neonatal intensive care unit (NICU) of the Korean Neonatal Network (KNN), a nationwide VLBW infant registry (2013–2020). Overall, 45 prenatal and early perinatal clinical variables were selected. A multilayer perceptron (MLP)-based network analysis, which was recently introduced to predict diseases in preterm infants, was used for modeling and a stepwise approach. Additionally, we applied a complementary MLP network and established new BPD prediction models (PMbpd). The performances of the models were compared using the area under the receiver operating characteristic curve (AUROC) values. The Shapley method was used to determine the contribution of each variable.ResultsWe included 11,177 VLBW infants (3,724 without BPD (BPD 0), 3,383 with mild BPD (BPD 1), 1,375 with moderate BPD (BPD 2), and 2,695 with severe BPD (BPD 3) cases). Compared to conventional machine learning (ML) models, our PMbpd and two-stage PMbpd with RSd (TS-PMbpd) model outperformed both binary (0 vs. 1,2,3; 0,1 vs. 2,3; 0,1,2 vs. 3) and each severity (0 vs. 1 vs. 2 vs. 3) prediction (AUROC = 0.895 and 0.897, 0.824 and 0.825, 0.828 and 0.823, 0.783, and 0.786, respectively). GA, birth weight, and patent ductus arteriosus (PDA) treatment were significant variables for the occurrence of BPD. Birth weight, low blood pressure, and intraventricular hemorrhage were significant for BPD ≥2, birth weight, low blood pressure, and PDA ligation for BPD ≥3. GA, birth weight, and pulmonary hypertension were the principal variables that predicted BPD severity in VLBW infants.ConclusionsWe developed a new two-stage ML model reflecting crucial BPD indicators (RSd) and found significant clinical variables for the early prediction of BPD and its severity with high predictive accuracy. Our model can be used as an adjunctive predictive model in the practical NICU field.
Central retinal vein occlusion with cerebral infarction secondary to anlotinib treatment: a case report and literature review
Authors: Chen Yingying , Du Yi , Qiu Lu , Zheng Jing 
Published: June 2023

Purpose: We present a rare case of an elderly man with minimal pre-existing thromboses risk, who experienced central retinal vein occlusion (CRVO) and cerebral infarction after oral intake of the anti-cancer drug anlotinib, likely due to a drug-related complication.Observations: A male, aged 65 years, sought care at the ophthalmology department because of acute painless 5-day vision loss in the right eye, in combination with cerebral infarction history, after oral intake of anlotinib for hepatocellular carcinoma (HCC) for over 16 months. Clinical assessment and ancillary examination verified a right eye central retinal vein occlusion diagnosis. Anlotinib is a multi-target tyrosine kinase inhibitors (TKIs) is reported to potently suppress vascular endothelial growth factor (VEGF) receptor, in order to exert strong antitumor angiogenesis and inhibit tumor occurrence. Although anlotinib is only regarded as a possible thrombosis risk factor, it is possible that anlotinib administration markedly enhanced vaso-occlusive risk within this patient.Conclusion and significance: Herein, we present the first report of anlotinib-induced CRVO and cerebral infarction to our knowledge. Given our evidences, anlotinib usage is intricately linked to sight- and life-threatening thrombotic effects even among patients with reduced thrombophilic risk. Hence, patients receiving this drug must be carefully monitored for possible drug-related complications.
Fragmentation of a molten metal droplet in an ambient water flow
Authors: Cunningham Mark H. , Frost David L. 
Published: June 2023

The influence of an ambient fluid flow on the fragmentation of hot molten tin droplets (initially at 800°C) and cold low melting point alloy droplets (initially at 70°C) in water is investigated with high-speed photography and flash radiography. The water is accelerated using a converging nozzle to a constant speed of up to 30 m/s using a double piston arrangement designed to eliminate the formation of a shock wave that is present in most earlier studies. At low flow velocities, the fragmentation of hot droplets is governed by thermal effects and vapour formation, growth, and collapse. At high flow velocities, vapour formation is suppressed and the droplet fragmentation is determined by hydrodynamic effects in which hydrodynamic instabilities (Rayleigh-Taylor and Kelvin-Helmholtz) and wavecrest stripping all play a role in the droplet breakup. At intermediate flow velocities, both thermal and hydrodynamic effects play a role. Quantitative image analysis of the radiographs is used to determine the spatial distribution of the droplet mass during the fragmentation process. Comparison with earlier work in which the ambient flow is preceded by a strong shock wave indicates that the transition from thermal to hydrodynamic breakup is strongly dependent on the pressure field.
The role of conspiracy mindset in reducing support for child vaccination for COVID-19 in the United States
Authors: Romer Daniel , Jamieson Kathleen H. 
Published: June 2023

IntroductionWe have previously proposed and tested a model that predicts reluctance to vaccinate against COVID-19 in the US from embrace of a conspiracy mindset that distrusts the federal health agencies of the US government and regards their intentions as malevolent. In this study, we tested the model’s ability to predict adult support for COVID vaccination of children ages 5–11 after the vaccine was approved for this age group.MethodsRelying on a national panel that was established in April 2021 (N = 1941) and followed until March of 2022, we examined the relation between conspiratorial thinking measured at baseline and belief in misinformation and conspiracies about COVID vaccines, trust in various health authorities, perceived risk of COVID to children, and belief in conspiracy theories about the pandemic’s origin and impact. In addition, we tested a structural equation model (SEM) in which conspiracy mindset predicted adult support for childhood vaccination for COVID in January and March of 2022 as well as the adults own vaccination status and their willingness to recommend vaccinating children against measles, mumps and rubella (MMR).ResultsThe model accounted for 76% of the variance in support for childhood vaccination for COVID-19; the relation between the mindset and support for vaccination was entirely mediated by baseline assessments of misinformation, trust, risk, and acceptance of pandemic conspiracy theories.DiscussionThe SEM replicated the prior test of the model, indicating that a conspiracy mindset present among at least 17% of the panel underlies their resistance to vaccinate both themselves and children. Efforts to counteract the mindset will likely require the intervention of trusted spokespersons who can overcome the skepticism inherent in conspiratorial thinking about the government and its health-related agencies’ recommendations for a particular vaccine.