Miracle-dz/UniFAR-FTUs huggingface dataset:
Student Performance Prediction in Secondary School Education Using Machine Learning

Machine learning has an important role to play in the field of education and it provides great help in the process of students' performance prediction and making decisions. The existing system uses a large amount of data set that has a lot of irrelevant and less dependent attributes that take much processing time. Our proposed model predicts the students' performance with the highest accuracy of 93.74%. We use dataset regarding the high dependent variable that takes less processing time and memory resources.
Pharmacogenetic Expression of CYP2C19 in a Pediatric Population

Genetic variability in CYP2C19 may be associated with both lack of efficacy and toxicity of drugs due to its different metabolic status based on the presence of particular alleles. This literature review summarizes current knowledge relative to the association or treatment adaptation based on CYP2C19 genetics in a pediatric population receiving drugs metabolized by CYP2C19, such as voriconazole, antidepressants, clopidogrel and proton pump inhibitors. Additionally, we also presented one of the approaches that we developed for detection of variant alleles in the CYP2C19 gene. A total of 25 articles on PubMed were retained for the study. All studies included pediatric patients (age up to 21 years) having benefited from an assessment of CYP2C19. CYP2C19 poor and intermediate metabolizers exhibit a higher trough plasma concentration of voriconazole, and PPIs compared to the rapid and ultra-rapid metabolizers. The pharmacogenetic data relative to CYP2C19 and clopidogrel in the pediatric population are not yet available. CYP2C19 poor metabolizers have a higher trough plasma concentration of antidepressants compared to the rapid and the ultra-rapid metabolizers. Modification of allele-specific PCR through the introduction of artificial mismatch is presented. CYP2C19 genotyping remains a powerful tool needed to optimize the treatment of children receiving voriconazole, PPIs, and anti-depressants.
How brands can succeed communicating social purpose: engaging consumers through empathy and self-involving gamification

Abstract Expectation for how brands succeed communicating a social cause is gaining salience in today’s interconnected and increasingly vocal environment. To address this topic of interest, this study presents and tests an integrative theoretical framework for consumer–brand identification from both a social identity and consumer engagement perspective. It articulates the conditions under which consumers are likely to identify with a brand that communicates social purpose and how that identification process can be enhanced through empathy and self-involving gamification. Findings from two field experiments reveal that (1) value and attribute attractiveness of a brand have a positive impact on consumer–brand identification, and (2) in turn they will increase consumers’ extra-role behavioural intention; and (3) engaging consumers using empathy and selfinvolving gamification enhance the identification process. The results were replicated and confirmed in an online and a laboratory experiment employing different brand contexts. Theoretical and managerial implications were discussed.
Narrative Coherence in Adolescence: Relations With Attachment, Mentalization, and Psychopathology

Abstract Narrative coherence refers to the overall completeness of the narrative that helps the individual to draw meaning from past events. Research has predominantly focused on developmental trajectories of narrative coherence among typically developing individuals and less research sheds light on narrative coherence in adolescents facing serious psychological difficulties. This study is the first to apply Baerger and McAdams’s well-validated coding scheme of narrative coherence to adolescents and to rate narrative coherence based on the content derived from the Child Attachment Interview in the context of attachment security, mentalization, and internalizing and externalizing pathology in 70 inpatient adolescents. Findings emphasized that the coding scheme is applicable for adolescents and attachment narratives. Narrative coherence was negatively correlated with age and no gender differences were found. Higher attachment security and better mentalization both contributed to more coherent narratives. More coherent narratives predicted less externalizing problems, but when controlling for mentalization and attachment security, mentalization was the strongest predictor. The relation between narrative coherence and other social-cognitive constructs is discussed, as well as how poor narrative coherence should be taken into account with respect to psychopathology in adolescence. Finally, the value of this coding scheme to evaluating narrative coherence in adolescence is discussed.
Characterization of gelsevirine metabolites in rat liver S9 by accurate mass measurements using high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry.

RATIONALE Gelsemium elegans Benth. belongs to the family Loganiaceae and is widely distributed in northern America, east Asia, and southeast Asia. It has attracted wide attention for its diverse biological effects and complex architectures. Gelsevirine is one of the major components in G. elegans. Compared with other alkaloids from G. elegans, gelsevirine exhibits equally potent anxiolytic effects but with less toxicity. However, the metabolism of gelsevirine has not been clearly elucidated. METHODS The metabolism of gelsevirine was investigated using liver S9 fractions derived from rat liver homogenates by centrifugation at 9000 g. A rapid and accurate high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (HPLC/QqTOF-MS) method was applied to characterize the gelsevirine metabolites. RESULTS We discovered a total number of four metabolites of gelsevirine. The metabolic pathways of gelsevirine consisted of hydrogenation, N-demethylenation and oxidation in rat liver S9. CONCLUSIONS This is the first study on the metabolism of gelsevirine. We proposed possible metabolic pathways of gelsevirine. These findings may warrant future studies of the in vivo metabolism of gelsemine in animals.
Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods

The present paper deals with optimizing the stock portfolio of active companies listed on the Tehran Stock Exchange based on the forecast price. This paper is based on a combination of different filtering methods such as optimization of trading rules based on technical analysis (ROC, SMA, EMA, WMA, and MACD at six levels—Very Very Weak (VVW), Very Weak (VW), Weak (W), Strong (S), Very Strong (VS), and Very Very Strong (VVS)), Markov Chains, and Machine Learning (Random Forest and Support Vector Machine) Filter stock exchanges and provide buy signals between 2011 and 2020. In proportion to each combination of filtering methods, a buy signal is issued and based on the mean-variance (M-V) model, the stock portfolio is optimized based on increasing the portfolio return and minimizing the stock portfolio risk. Based on this, out of 480 companies listed on the Tehran Stock Exchange, 85 active companies have been selected and stock portfolio optimization is based on two algorithms, MOGWO and NSGA II. The analysis results show that the use of SVM learning machine leads to minor correlation error than the random forest method. Therefore, this method was used to predict stock prices. Based on the results, it was observed that if the shares of companies are filtered, the risk of transactions decreases, and the return on the stock portfolio increases. Also, if two filtering methods are applied simultaneously, the stock portfolio returns slightly and the risk increases. In the analysis, MOGWO algorithm has obtained 133.13% stock return rate with a risk of 3.346%, while the stock portfolio returns in NSGA II algorithm 107.73, with a risk of 1.459%. Comparison of solution methods shows that the MOGWO algorithm has high efficiency in stock portfolio optimization.
Comparing Dose Levels to Placebo using a Continuous Outcome in a Small n, Sequential, Multiple Assignment, Randomized trial (snSMART)

ABSTRACT Identifying optimal treatments for patients living with rare diseases is challenging due to the small numbers of individuals affected. One design used to address this challenge is known as the small n, sequential, multiple assignment, randomized trial (snSMART). To investigate the efficacy of an active drug measured by a continuous outcome tested at a low and high dose compared to placebo, we propose a new two-stage snSMART design. In stage 1, patients are randomized to an initial treatment. In stage 2, patients are re-randomized, depending on their stage 1 outcome, to either the same or a different dose of treatment. Data from both stages are used to determine the marginal efficacy of the dose levels of active treatment. We propose a Bayesian approach for borrowing information across stage 1 and stage 2 data. We compare the proposed approach to standard methods using only stage 1 data. We observe that the joint stage Bayesian method has smaller root-mean-square-error and 95% Bayesian credible interval widths than standard methods in several tested settings. We conclude that our approach using data from both stages is advantageous for efficacy inference and the proposed snSMART design is useful for the design of registration trials in rare diseases.
When Do Men MPs Claim to Represent Women in Plenary Debates—Time-Series Cross-Sectional Evidence from the German States

Extensive scholarly work engages with the growing number of women in legislatures around the world and highlights their role as advocates of women’s interests during parliamentary decision-making processes. This article sheds light on the reactions of men MPs (members of parliament) to this trend by uncovering how women's numerical strength in party parliamentary groups shapes the issues that their men colleagues emphasize when speaking about women during plenary debates. I argue that, the higher the share of women in a party parliamentary group, the more will men representatives emphasize women’s interests in the context of issues they can easily relate to—either because the issues lie in men’s area of responsibility according to ideas about traditional role distributions in the society, for example, the financing of gender equality projects, or because they are part of broader patterns of societal inequality, such as poverty or health. I provide empirical evidence for this argument based on original time-series cross-sectional data from plenary debates in six German states between 2005 and 2021 using a structural topic model. These findings shed light on men’s role as critical actors and have implications for gender equality and the functioning of representative democracy more broadly.
Structural Characteristics of the 5′-Terminal Region of Mouse p53 mRNA and Identification of Proteins That Bind to This mRNA Region

A mouse model has often been used in studies of p53 gene expression. Detailed interpretation of functional studies is, however, hampered by insufficient knowledge of the impact of mouse p53 mRNA’s structure and its interactions with proteins in the translation process. In particular, the 5′-terminal region of mouse p53 mRNA is an important region which takes part in the regulation of the synthesis of p53 protein and its N-truncated isoform Δ41p53. In this work, the spatial folding of the 5′-terminal region of mouse p53 mRNA and its selected sub-fragments was proposed based on the results of the SAXS method and the RNAComposer program. Subsequently, RNA-assisted affinity chromatography was used to identify proteins present in mouse fibroblast cell lysates that are able to bind the RNA oligomer, which corresponds to the 5′-terminal region of mouse p53 mRNA. Possible sites to which the selected, identified proteins can bind were proposed. Interestingly, most of these binding sites coincide with the sites determined as accessible to hybridization of complementary oligonucleotides. Finally, the high binding affinity of hnRNP K and PCBP2 to the 5′-terminal region of mouse p53 mRNA was confirmed and their possible binding sites were proposed.
Bioinformatics Identification of TUBB as Potential Prognostic Biomarker for Worse Prognosis in ERα-Positive and Better Prognosis in ERα-Negative Breast Cancer

Tubulin β class I gene (TUBB) is highly expressed in various cancers and plays several roles in carcinogenesis. However, the prognostic value of TUBB in breast cancer remains to be investigated. GEPIA and Breast Cancer Gene-Expression Miner were used to explore TUBB expression in breast cancer patients. Kaplan–Meier Plotter was used to assess the relationship between TUBB expression and several prognostic indicators including overall, distant metastasis-free, and relapse-free survival in ERα-positive and ERα-negative breast cancer. The genes that correlate with TUBB in ERα-positive and ERα-negative breast cancer were explored and the pathways were investigated using GSCA. The correlation between TUBB and several gene markers of immune cells was explored using GEPIA. ERα-positive breast cancer patients with increased TUBB showed worse prognosis, possibly through the activation of the TSC/mTOR pathway, whereas ERα-negative breast cancer patients with increased TUBB mRNA showed better prognosis. Significant positive correlations were observed between TUBB and gene markers of immune cells in ERα-positive breast cancer patients, whereas significant negative correlations were observed in ERα-negative breast cancer patients. The analysis revealed that TUBB might be considered as a predictive biomarker for worse prognosis in ERα-positive and better prognosis in ERα-negative breast cancer.
A New Design of Fuzzy Affine Model-Based Output Feedback Control for Discrete-Time Nonlinear Systems

The observer-based output feedback control problem for nonlinear systems is studied through Takagi–Sugeno fuzzy affine models. A novel piecewise fuzzy affine observer is designed to estimate the unmeasurable state variables. To remove the assumptions in the existing works that the system input matrices and/or output matrices should be common, full rank, and uncertainties-free, a new approach is developed for the observer-based piecewise output feedback controller synthesis by making sufficient use of Young's inequality with its variance. Through fuzzy piecewise quadratic Lyapunov functions, improved and less conservative results on the output feedback controller design are obtained in terms of linear matrix inequalities, and the restrictions imposed in the existing results can be relaxed. Simulation studies are provided to confirm the effectiveness and conservatism reduction of the developed method.
Evaluation of antibacterial activities for three commonly used antibiotics produced by different manufactures on female urinary tract infection Uropathogens in kalar city.

Health professional staff often claims information about trying to differentiate the used antibiotics based on the manufacturers that produce the drug, which may lead to a differentiation in the prescribing of the antibiotics by a physician. Numerous antibiotics produced by different manufactures, under different brands names are available in pharmacies for urinary tract infection (UTI) treatment; this study proceeds to find out and evaluates antibacterial activities of three most used antibiotics, produced by different antibiotic producers on uropathogens in Kalar city. Kirby–Bauer disk diffusion method is employed to assess antibacterial effectiveness of Amikacin (Ak), Levoflaxocilin (Lv) and Nitrofuratoin (Nr) against reference strains of Escherichia coli, Pseudomonas aeruginosa, Staphylococcus saprophyticus and clinically isolated uropathogens (Escherichia coli, Pseudomonas aeruginosa, Staphylococcus saprophyticus, Proteus vulgaris, and Klebsiella pneumoniae). Inhibition zones (IZ) were determined in millimeter unit to show the activity of the antibiotics. It has been found that the activity of all brands on sensitive bacterial strains were in the preferred range and surpassed the threshold of (IZ) determined by Clinical Laboratories Standards Institute (CLSI) guide. The lack of significant differences among most tested brands for each antibiotic, support this idea.
Association Between Bio-Fermentation Derived Hyaluronic Acid and Healthcare Costs Following Knee Arthroplasty

Background Limiting access to intra-articular knee injections, including hyaluronic acid (HA), has been advocated as a cost-containment measure in the treatment of knee osteoarthritis. The association between presurgical injections and post-surgical complications such as early periprosthetic joint infection and revision remained to be investigated. This study evaluated pre- and post-surgical costs and rates of post-surgical complications in knee arthroplasty (KA) patients with or without prior HA use. Methods Commercial and Medicare Supplemental Claims Data (IBM MarketScan Research Databases) from January 1, 2012 to December 31, 2018 were used to identify unilateral KA patients. Those who completed a course of bio-fermentation derived HA (Bio-HA) as the first-line HA therapy comprised of the test group (n = 4091), while the control group did not use HA prior to KA (n = 118,659). Using multivariable regression with propensity score (PS) weighting, overall healthcare costs, readmission rates, and revision rates were assessed at six months following KA. Results Healthcare costs following KA were significantly lower for the Bio-HA group ($10,021 ± $22,796) than No HA group ($12,724 ± $32,966; PS p < 0.001). Bio-HA patients had lower readmission rates (8.9% vs 14.0%; PS p < 0.001) and inpatient costs per readmitted patient ($43,846 ± $50,648 vs $50,533 ± $66,150; PS p = 0.005). There were no differences in revision rate for any reason (Bio-HA: 0.78% vs No HA: 0.67%; PS p = 0.361) and with PJI (Bio-HA: 0.42% vs No HA: 0.33%; PS p = 0.192). Costs in the six months up to and including the KA were similar for both groups (Bio-HA: $49,759 ± $40,363 vs No HA: $50,532 ± $43,183; PS p = 0.293). Conclusion Bio-HA use prior to knee arthroplasty did not appear to increase overall healthcare costs in the six months before and after surgery. Allowing access to HA injections provides a non-surgical therapeutic option without increasing cost or risk of post-surgical complications.
Role of CA 19.9 in the Management of Resectable Pancreatic Cancer: State of the Art and Future Perspectives

Background: Surgery still represents the gold standard of treatment for resectable pancreatic ductal adenocarcinoma (PDAC). Neoadjuvant treatments (NAT), currently proposed for borderline and locally advanced PDACs, are gaining momentum even in resectable tumors due to the recent interesting concept of “biological resectability”. In this scenario, CA 19.9 is having increasing importance in preoperative staging and in the choice of therapeutic strategies. We aimed to assess the state of the art and to highlight the future perspectives of CA 19.9 use in the management of patients with resectable pancreatic cancer. Methods: A PubMed database search of articles published up to December 2021 has been carried out. Results: Elevated pre-operative levels of CA 19.9 have been associated with reduced overall survival, nodal involvement, and margin status positivity after surgery. These abilities of CA 19.9 increase when combined with radiological or different biological criteria. Unfortunately, due to strong limitations of previously published articles, CA 19.9 alone cannot be yet considered as a key player in resectable pancreatic cancer patient management. Conclusion: The potential of CA 19.9 must be fully explored in order to standardize its role in the “biological staging” of patients with resectable pancreatic cancer.
A Study of Variations of the Stomach in Adults and Growth of the Fetal Stomach

The stomach is a site for various pathological conditions like congestive hypertrophic pyloric stenosis, peptic ulcer, gastroesophageal reflux disease (GERD), and carcinoma of the stomach. Further, for the treatment of obesity too, surgical manipulation of the stomach is done by a bariatric surgeon. With the availability of a wide range of diagnostic tools like barium meals, USG, CT scan, MRI, and endoscopy, it is possible to identify the variations in the position and shape of the stomach and developmental defects while diagnosing diseases. As thorough knowledge of stomach position and variations will help in preoperative planning and preventing inadvertent damage during surgeries, this topic was taken up for research. Aims and objectives This study aims to study the variations of the stomach in human cadavers and dead fetuses with regard to its length, shape, capacity, ends, curvatures, and mucosal folding and classify them into various groups. In addition, this study also aims to assess the pattern of growth of the stomach in fetuses. Material and methods The stomachs of 50 adult cadavers and 20 dead fetuses were studied by standard dissection method, concerning their topography, shape, level of the cardiac and pyloric orifice, cardiac angle, length of greater (GC) and lesser curvatures (LC), pyloric sphincter, volume, and mucosal folds. Results The stomach was located in the left hypochondriac quadrant in 78% of the samples and in relation to the 7th costal cartilage in 64%. The two main types of classification established were Type I (variation in position along the vertical axis) in 4% and Type II (variation in position along the transverse axis) in 14%. Type III classification comprised the variations in shape, with a J-shaped stomach in 58%, cylindrical in 20%, crescentic in 14%, and reversed L in 8%. The average length showed significant differences in males, 19±2.48 cm vis-a-vis females, 17.1±2.01 cm. In 66% of the cases, the cardiac orifice was to the left of the midline behind the 7th costal cartilage, and the pyloric orifice was to the right, 1.2 cm to the midline and in the transpyloric plane in 76%. The average GC and LC were 33.6±1.43 cm and 27±5.28 cm, respectively. GC was more significant in males. The average length and diameter of the pyloric canal were about 3.56±0.38 cm & 0.77±0.23 cm, respectively. The thickness of the pyloric sphincter did not show a significant gender difference. The average volume was 289.88±69.15 ml. Rugae were normally spaced in 68%, nearly spaced in 18%, and widely spaced in 6%. The fetal stomach measurements were significantly correlated to gestational age and showed linear growth. Conclusion The study of the morphology of the stomach and its variations are important not only to surgeons and anatomists but also to gastroenterologists. The linear growth of the stomach in embryos helps radiologists and obstetricians to diagnose intrauterine growth retardation (IUGR) and congenital anomalies early.