bluuebunny/crossref_metadata_2025_split huggingface dataset:
Upaya meninggkatkan hasil Belajar Matematika Peluang
Authors: NOPRI NOPRIANSYAH NOPRIANSYAH 
Published: December 2023

The lack of improvement in student learning outcomes in material opportunities is a separate homework for educators. To overcome this problem, it is necessary to pursue an active learning approach using the mind mapping method. The mind mapping method is the easiest way to put information into the brain and take information out of the brain-Mind Mapping is a way of recording that is creative, effective, and will literally "map" our thoughts. To achieve this goal, the research was conducted in three cycles. The procedure in each cycle includes the stages: action planning, action implementation, observation and reflection. The effectiveness of the actions in each cycle is measured from the results of observations and tests. Data from observations and tests are then reflected to determine corrective actions in the next cycle. In the pre-cycle the students' completeness score was 24%, in the first cycle it was 52%, in the second cycle it was 64%, in the third cycle it increased to 88%. The results of this study showed an increase in the value of mastery learning outcomes from pre-cycle to cycle I by 28%, cycle I to cycle II by 12%, cycle II to cycle III by 24%. Based on the actions taken, it can be concluded that using the mind mapping method, teachers can improve student learning outcomes in class XII Multimedia at SMKN 1 Tempilang on opportunity material.

Belum meningkatnya hasil belajar siswa pada materi peluang merupakan pekerjaan rumah tersendiri bagi pendidik. Untuk mengatasi masalah tersebut, perlu diupayakan suatu pendekatan pembelajaran aktif dengan menggunakan metode mind mapping. Metode mind mapping merupakan cara termudah untuk menempatkan informasi ke dalam otak dan mengambil informasi ke luar dari otak-Mind Mapping adalah cara mencatat yang kreatif, efektif, dan secara harfiah akan “memetakan” pikiran-pikiran kita. Untuk mencapai tujuan tersebut, penelitian dilaksanakan dalam tiga siklus. Prosedur dalam setiap siklus mencakup tahap-tahap: perencanaan tindakan, pelaksanaan tindakan, observasi dan refleksi. Keefektifan tindakan pada setiap siklus diukur dari hasil observasi dan tes. Data hasil observasi dan tes kemudian direfleksi untuk menentukan tindakan perbaikan pada siklus berikutnya. Pada pra siklus nilai ketuntasan siswa sebesar 24%, pada siklus I sebesar 52%, pada siklus II sebesar 64%, pada siklus III meningkat menjadi 88%. Hasil penelitian ini menunjukkan peningkatan nilai ketuntasan hasil belajar dari pra siklus ke siklus I sebesar 28%, siklus I ke siklus II sebesar 12%, siklus II ke siklus III sebesar 24%. Berdasarkan tindakan yang dilakukan, dapat disimpulkan bahwa menggunakan metode mind mapping, guru dapat meningkatkan hasil belajar siswa kelas XII Multimedia di SMKN 1 Tempilang pada materi peluang.

Keywords: learning outcomes, mind mapping, opportunities
Influence of Macroeconomics Factors, Profitability, and Stock Trading Volume on Stock Prices in The Years 2019-2021
Authors: Anisa Fitriani  , Febryanti Simon  
Published: December 2023

The Covid-19 pandemic, which struck Indonesia in March 2020, impacted various sectors, including the capital market. The capital market, which primarily served as a source of funding for investors, was also affected. This research was designed to examine the impact of economic elements on the share prices of manufacturing sectors amidst the Covid-19. The aspects under examination encompassed exchange rate, inflation, probability, and stock trading volume. This research employed data from all total of 171 manufacturing industry firms listed on the Indonesia Stock Exchange (IDX) over the period from 2019 to 2021 . The research method used is a quantitative method. The total sampling technique used resulted in a sample of 59 (fifty-nine) companies that met the research criteria. The method of data analysis employed is panel data regression analysis, utilizing the Random Effect Model (REM) estimation, which is tested using Eviews 12. The findings indicate that profitability significantly influences stock prices, while exchange rate, inflation and stock trading volume do not have a significant effect on the stock prices of manufacturing companies during 2019-2021. Based on the simultaneous test result obtained, exchange rate, inflation, profitability, and stock trading volume have a significant effect on stock prices.
One within Many, Many within One
Authors: Cadogan Dawn , Campbell Rice Brynne , Maher Stephen , Torian Stacy 
Published: December 2023

Teaching is one of the most consequential responsibilities of an academic librarian, yet many of us approach it without the training or self-awareness required to do it well. Teaching well means being willing to commit to endless, fearless exploration of pedagogical pathways, shifting social realities, and discomforting valleys within the self. These journeys enable us to define and strengthen our teacher identities. Critical LIS studies on identity frequently explore the multiplicity of librarian attitudes toward teaching or the complexity of individual librarian identities. In our study, we merged these two exploratory objectives by analyzing the dialogical interaction of an academic librarian's multiple identities in the teaching context, specifically. As academic librarians, diverse in terms of race, gender, age, and professional experience, we engaged in collaborative autoethnography to uncover and name the interlocking identities that inform our teaching endeavours. Through the lens of dialogical self theory (DST) and its concept of self positioning, we identified positions of the self that interact and negotiate with each other to facilitate or complicate the act of teaching itself. Autoethnographic exploration deepened our understanding of our teaching selves and helped us decipher the socio-psychological scripts that hinder and empower us as educators.
PENGARUH INDEPENDENSI, OBJEKTIVITAS, PENGALAMAN KERJA, KOMPETENSI, INTEGRITAS DAN SKEPTISME PROFESIONALTERHADAP KUALITAS AUDIT (STUDI DI INSPEKTORAT PROVINSI BENGKULU)
Authors: Fadli  
Published: December 2023

This study aims to find empirical evidence regarding the effect of independence, objectivity, work experience, competence, integrity and professional skepticism on audit quality at the Bengkulu Provincial Inspectorate. The type of research used in this research is quantitative research. The type of data used is primary data in the form of values or scores for the answers given by respondents to the questions in the questionnaire. The sampling technique used is the saturated sample/census method.
Based on sampling through the saturated sample/census method, 46 samples of Bengkulu Province Inspectorate auditors were obtained. The data was processed through the multiple linear regression statistical test method using SPSS software version 21. The results of the study found that competence had a positive effect on audit quality. Meanwhile, independence, objectivity, work experience integrity and professional skepticism have no effect on audit quality.
PENGARUH SUDUT KELENGKUNGAN INTAKE MANIFOLD TERHADAP PERFORMA MESIN SEPEDA MOTOR
Authors: Vicky Styo Pramono  
Published: December 2023

In a gasoline engine, the intake manifold is an important component because the intake manifold functions as an inlet for air and fuel into the combustion chamber. The shape of the curvature of the intake manifold affects the air entering the combustion chamber. Because to produce a homogeneous mixing of air and fuel to produce perfect combustion. Of course it has an impact on the torque and power produced.Torque and power testing using a special dynotest tool. The research conducted has several variables that will affect the output of this study, namely the independent variables include variations in the angle of curvature of the manifold using standards, 140˚, 155˚, and 160˚, type of fuel with ron 90 and engine speed (RPM). The dependent variable is torque, power and fuel consumption which will be tested. The hypothesis in this study is the alternative hypothesis (H1) because according to the analysis changes in the curvature of the manifold can affect the performance of the motorcycle engine. Impact results have the greatest influence on the power produced, with an angle of 100 ̊ indicating superior power than other intake manifolds. For Dmax (Maximum Power) right at 6500 rpm engine speed with an average of 5.86Hp. Meanwhile, the intake manifold with a curvature angle of 120 shows the best results with Tmax (Maximum Torque) at 5000 rpm engine speed with an average of 7.16nm.
Mathematical model of physicochemical regulation of precipitation of bone hydroxyapatite
Authors: Poorhemati Hossein , Komarova Svetlana V. 
Published: December 2023

IntroductionFormation of hydroxyapatite in bone, dentin, and enamel occurs at restricted molecular sites of specific extracellular matrix proteins and is controlled by multiple mineralization inhibitors. However, the role of physicochemical factors, such as the availability of required ions and the saturation status of the aqueous environment in biological mineralization, is not fully understood. The goal of this study was to use mathematical modeling to describe the complex physicochemical environment permissive to the precipitation of biological hydroxyapatite.MethodsWe simulated the processes occurring in the bone interstitial fluid (ISF) defined as an aqueous environment containing seven chemical components (calcium, phosphate, carbonate, sodium, potassium, magnesium, and chloride) that form 30 chemical species. We simulated reversible equilibrium reactions among these chemical species, and calculated supersaturation for hydroxyapatite and its precipitation rate using kinetic theory.Results and DiscussionThe simulated ISF was of correct ionic strength and predicted the equilibrium component concentrations that were consistent with the experimental findings. Supersaturation of physiological ISF was ~15, which is consistent with prior findings that mineralization inhibitors are required to prevent spontaneous mineral precipitation. Only total calcium, total phosphate and to a lesser degree total carbonate affected ion availability, solution supersaturation and hydroxyapatite precipitation rate. Both calcium and phosphate levels directly affected hydroxyapatite precipitation, and phosphate was affected by pH, which additionally influenced hydroxyapatite precipitation. Integrating mathematical models capturing the physiochemical and biological factors regulating bone mineralization will allow in silico studies of complex clinical scenarios associated with alterations in ISF ion composition, such as rickets, hypophosphatemia, and chronic kidney disease.
Development of a monoclonal antibody to ITPRIPL1 for immunohistochemical diagnosis of non-small cell lung cancers: accuracy and correlation with CD8+ T cell infiltration
Authors: Deng Shouyan , Shi Jiawei , Sun Yufan , Quan Yingfei , Shen Zan , Wang Yonggang , Li Hai , Xu Jie 
Published: December 2023

Introduction: Cancer biomarkers are substances or processes highly associated with the presence and progression of cancer, which are applicable for cancer screening, progression surveillance, and prognosis prediction in clinical practice. In our previous studies, we discovered that cancer cells upregulate inositol 1,4,5-triphosphate receptor-interacting protein-like 1 (ITPRIPL1), a natural CD3 ligand, to evade immune surveillance and promote tumor growth. We also developed a monoclonal ITPRIPL1 antibody with high sensitivity and specificity. Here, we explored the application of anti-ITPRIPL1 antibody for auxiliary diagnosis of non-small cell lung cancer (NSCLC).Methods: NSCLC patient tissue samples (n = 75) were collected and stained by anti-ITPRIPL1 or anti-CD8 antibodies. After excluding the flaked samples (n = 15), we evaluated the expression by intensity (0-3) and extent (0-100%) of staining to generate an h-score for each sample. The expression status was classified into negative (h-score &lt; 20), low-positive (20-99), and high-positive (≥ 100). We compared the h-scores between the solid cancer tissue and stroma and analyzed the correlation between the h-scores of the ITPRIPL1 and CD8 expression in situ in adjacent tissue slices.Results: The data suggested ITPRIPL1 is widely overexpressed in NSCLC and positively correlates with tumor stages. We also found that ITPRIPL1 expression is negatively correlated with CD8 staining, which demonstrates that ITPRIPL1 overexpression is indicative of poorer immune infiltration and clinical prognosis. Therefore, we set 50 as the cutoff point of ITPRIPL1 expression H scores to differentiate normal and lung cancer tissues, which is of an excellent sensitivity and specificity score (100% within our sample collection).Discussion: These results highlight the potential of ITPRIPL1 as a proteomic immunohistochemical NSCLC biomarker with possible advantages over the existing NSCLC biomarkers, and the ITPRIPL1 antibody can be applied for accurate diagnosis and prognosis prediction.
Gut microbiota landscape and potential biomarker identification in female patients with systemic lupus erythematosus using machine learning
Authors: Song Wenzhu , Wu Feng , Yan Yan , Li Yaheng , Wang Qian , Hu Xueli , Li Yafeng 
Published: December 2023

ObjectivesSystemic Lupus Erythematosus (SLE) is a complex autoimmune disease that disproportionately affects women. Early diagnosis and prevention are crucial for women’s health, and the gut microbiota has been found to be strongly associated with SLE. This study aimed to identify potential biomarkers for SLE by characterizing the gut microbiota landscape using feature selection and exploring the use of machine learning (ML) algorithms with significantly dysregulated microbiotas (SDMs) for early identification of SLE patients. Additionally, we used the SHapley Additive exPlanations (SHAP) interpretability framework to visualize the impact of SDMs on the risk of developing SLE in females.MethodsStool samples were collected from 54 SLE patients and 55 Negative Controls (NC) for microbiota analysis using 16S rRNA sequencing. Feature selection was performed using Elastic Net and Boruta on species-level taxonomy. Subsequently, four ML algorithms, namely logistic regression (LR), Adaptive Boosting (AdaBoost), Random Forest (RF), and eXtreme gradient boosting (XGBoost), were used to achieve early identification of SLE with SDMs. Finally, the best-performing algorithm was combined with SHAP to explore how SDMs affect the risk of developing SLE in females.ResultsBoth alpha and beta diversity were found to be different in SLE group. Following feature selection, 68 and 21 microbiota were retained in Elastic Net and Boruta, respectively, with 16 microbiota overlapping between the two, i.e., SDMs for SLE. The four ML algorithms with SDMs could effectively identify SLE patients, with XGBoost performing the best, achieving Accuracy, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, and AUC values of 0.844, 0.750, 0.938, 0.923, 0.790, and 0.930, respectively. The SHAP interpretability framework showed a complex non-linear relationship between the relative abundance of SDMs and the risk of SLE, with Escherichia_fergusonii having the largest SHAP value.ConclusionsThis study revealed dysbiosis in the gut microbiota of female SLE patients. ML classifiers combined with SDMs can facilitate early identification of female patients with SLE, particularly XGBoost. The SHAP interpretability framework provides insight into the impact of SDMs on the risk of SLE and may inform future scientific treatment for SLE.
Differential transcriptome response of blood brain barrier spheroids to neuroinvasive Neisseria and Borrelia
Authors: Kulkarni Amod , Jozefiaková Jana , Bhide Katarína , Mochnaćová Evelína , Bhide Mangesh 
Published: December 2023

BackgroundThe blood-brain barrier (BBB), a highly regulated interface between the blood and the brain, prevents blood-borne substances and pathogens from entering the CNS. Nevertheless, pathogens like Neisseria meningitidis and Borrelia bavariensis can breach the BBB and infect the brain parenchyma. The self-assembling BBB-spheroids can simulate the cross talk occurring between the cells of the barrier and neuroinvasive pathogens.MethodsBBB spheroids were generated by co-culturing human brain microvascular endothelial cells (hBMECs), pericytes and astrocytes. The BBB attributes of spheroids were confirmed by mapping the localization of cells, observing permeability of angiopep2 and non-permeability of dextran. Fluorescent Neisseria, Borrelia or E. coli (non-neuroinvasive) were incubated with spheroids to observe the adherence, invasion and spheroid integrity. Transcriptome analysis with NGS was employed to investigate the response of BBB cells to infections.ResultshBMECs were localized throughout the spheroids, whereas pericytes and astrocytes were concentrated around the core. Within 1 hr of exposure, Neisseria and Borrelia adhered to spheroids, and their microcolonization increased from 5 to 24 hrs. Integrity of spheroids was compromised by both Neisseria and Borrelia, but not by E. coli infection. Transcriptome analysis revealed a significant change in the expression of 781 genes (467 up and 314 down regulated) in spheroids infected with Neisseria, while Borrelia altered the expression of 621 genes (225 up and 396 down regulated). The differentially expressed genes could be clustered into various biological pathways like cell adhesion, extracellular matrix related, metallothionines, members of TGF beta, WNT signaling, and immune response. Among the differentially expressed genes, 455 (48%) genes were inversely expressed during Neisseria and Borrelia infection.ConclusionThe self-assembling spheroids were used to perceive the BBB response to neuroinvasive pathogens - Neisseria and Borrelia. Compromised integrity of spheroids during Neisseria and Borrelia infection as opposed to its intactness and non-adherence of E. coli (non-neuroinvasive) denotes the pathogen dependent fate of BBB. Genes categorized into various biological functions indicated weakened barrier properties of BBB and heightened innate immune response. Inverse expression of 48% genes commonly identified during Neisseria and Borrelia infection exemplifies unique response of BBB to varying neuropathogens.
A review of the risk and precipitating factors for spontaneous coronary artery dissection
Authors: Stanojevic Dragana , Apostolovic Svetlana , Kostic Tomislav , Mitov Vladimir , Kutlesic-Kurtovic Dusanka , Kovacevic Mila , Stanojevic Jelena , Milutinovic Stefan , Beleslin Branko 
Published: December 2023

IntroductionSpontaneous coronary artery dissection (SCAD) accounts for 1%–4% of cases of acute coronary syndrome (ACS). SCAD is caused by separation occurring within or between any of the three tunics of the coronary artery wall. This leads to intramural hematoma and/or formation of false lumen in the artery, which leads to ischemic changes or infarction of the myocardium. The incidence of SCAD is higher in women than in men, with a ratio of approximately 9:1. It is estimated that SCAD is responsible for 35% of ACS cases in women under the age of 60. The high frequency is particularly observed during pregnancy and in the peripartum period (first week). Traditional risk factors are rare in patients with SCAD, except for hypertension. Patients diagnosed with SCAD have different combinations of risk factors compared with patients who have atherosclerotic changes in their coronary arteries. We presented the most common so-called “non-traditional” risk factors associated with SCAD patients.Risk factors and precipitating disorders which are associated with SCADIn the literature, there are few diseases frequently associated with SCAD, and they are identified as predisposing factors. The predominant cause is fibromuscular dysplasia, followed by inherited connective tissue disorders, systemic inflammatory diseases, pregnancy, use of sex hormones or steroids, use of cocaine or amphetamines, thyroid disorders, migraine, and tinnitus. In recent years, the genetic predisposition for SCAD is also recognized as a predisposing factor. The precipitating factors are also different in women (emotional stress) compared with those in men (physical stress). Women experiencing SCAD frequently describe symptoms of anxiety and depression. These conditions could increase shear stress on the arterial wall and dissection of the coronary artery wall. Despite the advancement of SCAD, we can find significant differences in the clinical presentation between women and men.ConclusionWhen evaluating patients with chest pain or other ACS symptoms who have a low cardiovascular risk, particularly female patients, it is important to consider the possibility of ACS due to SCAD, particularly in conditions often associated with SCAD. This will increase the recognition of SCAD and the timely treatment of affected patients.
Hybrid model of CT-fractional flow reserve, pericoronary fat attenuation index and radiomics for predicting the progression of WMH: a dual-center pilot study
Authors: Hou Jie , Jin Hui , Zhang Yongsheng , Xu Yuyun , Cui Feng , Qin Xue , Han Lu , Yuan Zhongyu , Zheng Guangying , Peng Jiaxuan , Shu Zhenyu , Gong Xiangyang 
Published: December 2023

ObjectiveTo develop and validate a hybrid model incorporating CT-fractional flow reserve (CT-FFR), pericoronary fat attenuation index (pFAI), and radiomics signatures for predicting progression of white matter hyperintensity (WMH).MethodsA total of 226 patients who received coronary computer tomography angiography (CCTA) and brain magnetic resonance imaging from two hospitals were divided into a training set (n = 116), an internal validation set (n = 30), and an external validation set (n = 80). Patients who experienced progression of WMH were identified from subsequent MRI results. We calculated CT-FFR and pFAI from CCTA images using semi-automated software, and segmented the pericoronary adipose tissue (PCAT) and myocardial ROI. A total of 1,073 features were extracted from each ROI, and were then refined by Elastic Net Regression. Firstly, different machine learning algorithms (Logistic Regression [LR], Support Vector Machine [SVM], Random Forest [RF], k-nearest neighbor [KNN] and eXtreme Gradient Gradient Boosting Machine [XGBoost]) were used to evaluate the effectiveness of radiomics signatures for predicting WMH progression. Then, the optimal machine learning algorithm was used to compare the predictive performance of individual and hybrid models based on independent risk factors of WMH progression. Receiver operating characteristic (ROC) curve analysis, calibration and decision curve analysis were used to evaluate predictive performance and clinical value of the different models.ResultsCT-FFR, pFAI, and radiomics signatures were independent predictors of WMH progression. Based on the machine learning algorithms, the PCAT signatures led to slightly better predictions than the myocardial signatures and showed the highest AUC value in the XGBoost algorithm for predicting WMH progression (AUC: 0.731 [95% CI: 0.603–0.838] vs.0.711 [95% CI: 0.584–0.822]). In addition, pFAI provided better predictions than CT-FFR (AUC: 0.762 [95% CI: 0.651–0.863] vs. 0.682 [95% CI: 0.547–0.799]). A hybrid model that combined CT-FFR, pFAI, and two radiomics signatures provided the best predictions of WMH progression [AUC: 0.893 (95%CI: 0.815–0.956)].ConclusionpFAI was more effective than CT-FFR, and PCAT signatures were more effective than myocardial signatures in predicting WMH progression. A hybrid model that combines pFAI, CT-FFR, and two radiomics signatures has potential use for identifying WMH progression.