Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between early menarche and suicidal behaviors in Korean girl adolescents

Abstract Early menarche can be the socio-psychological problems. We studied the association between early menarche and suicidal risk behaviors among South Korean girl adolescents using national-wide data. Web-based self-report data from 2006 to 2015 the Korea Youth Risk Behavior Web-based Survey data were used in this study. Menarche status was divided into an “early menarche” group (at <12 years of age) versus “not early” menarche group (at ≥12 years of age). Participants with adolescent girls with early menarche group showed a higher prevalence of substance use, higher levels of stress, poorer self-rated health status, unhappier perceiveness, more frequent depressed mood, inter-sexual kissing or petting, inter-sexual intercourse, homosexual kissing or petting, being the victim or the assailant of sexual assaults, sexual transmitted diseases experience, pregnancy, and abortion experience than the not early menarche group. Adolescent girls with early menarche who had suicidal ideation (25.4% vs 22.2%, P < .001), suicidal plans (4.1% vs 2.6%, P < .001), and suicidal attempts (6.8% vs 5.2%, P < .001) were higher than that in the adolescent girls with not early menarche. A multivariate analysis after adjusting revealed that the odds ratios for suicidal ideation, plans, and attempts were 1.07 (95% confidence interval [CI]: 1.05–1.10), 1.35 (95% CI: 1.28–1.41), and 1.13 (95% CI: 1.09–1.18), respectively. Adolescent girl with early menarche was associated with suicidal behaviors.
Traditional Chinese medicine for septic patients undergoing ulinastatin therapy

Supplemental Digital Content is available in the text Abstract Purpose: This study aimed to assess the efficacy of traditional Chinese medicine (TCM) in septic patients treated with ulinastatin. Methods: PubMed, EmBase, and the Cochrane library were searched up to January 2021 to identify randomized controlled trials. The weight mean difference (WMD) and relative risk (RR) with 95% confidence intervals were used with the random-effects model. Results: Twenty-three randomized controlled trials with 1903 septic patients were included. TCM significantly reduced the APACHE II score (WMD: −5.18; P < .001), interleukin-6 (WMD: −63.00; P < .001), tumor necrosis factor-α (WMD: −8.86; P < .001), c-reactive protein (WMD: −9.47; P < .001), mechanical ventilation duration (WMD: −3.98; P < .001), intensive care unit stay (WMD: −4.18; P < .001), procalcitonin (WMD: −0.53; P < .001), lipopolysaccharide (WMD: −9.69; P < .001), B-type natriuretic peptide (WMD: −159.87; P < .001), creatine kinase isoenzyme MB (WMD: −45.67; P < .001), cardiac troponin I (WMD: −0.66; P < .001), and all-cause mortality risk (RR: 0.55; P < .001). Conclusions: TCM lowers inflammation levels and reduces the risk of all-cause mortality for septic patients.
Predictors of acute deep venous thrombosis in patients hospitalized for COVID-19

Supplemental Digital Content is available in the text Abstract Deep venous thrombosis (DVT) is associated with high mortality in coronavirus disease 2019 (COVID-19) but there remains uncertainty about the benefit of anti-coagulation prophylaxis and how to decide when ultrasound screening is indicated. We aimed to determine parameters predicting which COVID-19 patients are at risk of DVT and to assess the benefit of prophylactic anti-coagulation. Adult hospitalized patients with positive severe acute respiratory syndrome coronavirus-2 reverse transcription-polymerase chain reaction (RT-PCR) undergoing venous duplex ultrasound for DVT assessment (n = 451) were retrospectively reviewed. Clinical and laboratory data within 72 hours of ultrasound were collected. Using split sampling and a 10-fold cross-validation, a random forest model was developed to find the most important variables for predicting DVT. Different d-dimer cutoffs were examined for classification of DVT. We also compared the rate of DVT between the patients going and not going under thromboprophylaxis. DVT was found in 65 (14%) of 451 reverse transcription-polymerase chain reaction positive patients. The random forest model, trained and cross-validated on 2/3 of the original sample (n = 301), had area under the receiver operating characteristic curve = 0.91 (95% confidence interval [CI]: 0.85–0.97) for prediction of DVT in the test set (n = 150), with sensitivity = 93% (95%CI: 68%–99%) and specificity = 82% (95%CI: 75%–88%). The following variables had the highest importance: d-dimer, thromboprophylaxis, systolic blood pressure, admission to ultrasound interval, and platelets. Thromboprophylaxis reduced DVT risk 4-fold from 26% to 6% (P < .001), while anti-coagulation therapy led to hemorrhagic complications in 14 (22%) of 65 patients with DVT including 2 fatal intra-cranial hemorrhages. D-dimer was the most important predictor with area under curve = 0.79 (95%CI: 0.73–0.86) by itself, and a 5000 ng/mL threshold at 7 days postCOVID-19 symptom onset had 75% (95%CI: 53%–90%) sensitivity and 81% (95%CI: 72%–88%) specificity. In comparison with d-dimer alone, the random forest model showed 68% versus 32% specificity at 95% sensitivity, and 44% versus 23% sensitivity at 95% specificity. D-dimer >5000 ng/mL predicts DVT with high accuracy suggesting regular monitoring with d-dimer in the early stages of COVID-19 may be useful. A random forest model improved the prediction of DVT. Thromboprophylaxis reduced DVT in COVID-19 patients and should be considered in all patients. Full anti-coagulation therapy has a risk of life-threatening hemorrhage.
Arithmetic Software Libraries

This chapter discusses NTL, a library for doing number theory, as well as its relation to a few other libraries. NTL is a high-performance, portable C++ library providing data structures and algorithms for manipulating signed, arbitrary length integers, and for vectors, matrices, and polynomials over the integers and over finite fields. It is maintained and mostly written by the author, although a number of contributions have been made by others.
Research into the Relationship between Ego States and Neuroticism among Indian Males and Females

Results are shown of a research project exploring the relationship between the transactional analysis concepts of ego states and Neuroticism in the Big Five Factor model of personality, A sample of 192 Indian adults (37% male, 63% female) were administered the Ego State Questionnaire-Revised (ESQ-R) and the Big Five Inventory (BFI). Pearson Product-Moment Correlation indicated a small but positive correlation between Neuroticism and the ego states of Critical Parent and Adapted Child, and a small negative correlation between Neuroticism and Nurturing Parent, Adult and Free Child. (All correlations significant at 0.05 level using a twotailed test.) There were differences between males and females and between different age groups. Though there are limitations to this research, the findings are in line with TA theory and may have implications for how TA therapy is applied.
Development of the Theoretical framework for university training on education: some clues to understand its implications

This article presents a qualitative analysis regarding the possible implications of the development of the theoretical framework for university training on education. On the basis of the theoretical research, the need to recognize the context in which the students' research experience takes place is identified, apart from recognizing and differentiating the components of the theoretical framework. All of the above should be based on the promotion of critical thinking and argumentative capacity from the beginning of the university studies in order to develop a critical and reflective capacity so that it can be extrapolated in the future teaching action in the classroom. The tutorial action, the hypothesis of progression and the curriculum design must allow the establishment of strategies that improve the personalized attention of the students once they begin their research experience. Finally, training is crucial both for the teacher who guides the future educators and for the students themselves, since motivation and the strengthening of the teaching vocation are binding elements when it comes to integrating the skills pertaining to the professionals of the twenty-first century, more so when it comes to the teaching discipline as a field of study and training.
Stray Animal Population Control: Methods, Public Health Concern, Ethics, and Animal Welfare Issues

Stray animal overpopulation has become one of the most serious global problems with many negative impacts on the community, environment, and public health. Most of the stray animals do not depend on humans for food and shelter, and therefore, can reproduce uncontrollably. The uncontrolled reproduction of stray animals increases their population that leads to a higher chance of predation, road traffic accidents, transmission of zoonotic diseases, and therefore, becoming vectors for some diseases. There are several methods for stray animal population control depending on the situation and the nature of the stray animals. These methods include contraceptives, trap-neuter-return, poisoning, euthanasia, and gun shooting among others. Each of the outlined methods has its advantages and disadvantages as to their practicality, ease of conducting, cost, effectiveness, ethics, and animal welfare issues. In conclusion, to achieve successful control measures of the stray animal population and the problem they create, the concerned authorities need to design and enact animal rights laws, provide medical care (treatment and vaccination), feeding, shelter for the animals, and control their reproduction. Public health and environmental agencies may improve the services by regulating personal and environmental hygiene, prevention, and control of zoonotic and transmissible diseases that can be transmitted from stray animals to the public and other livestock respectively.
Surface functionalization of superparamagnetic nanoparticles by an acid-liable polysaccharide-based prodrug for combinatorial monitoring and chemotherapy of hepatocellular carcinoma

For combinatorial monitoring and chemotherapy of hepatocellular carcinoma, the macromolecular prodrug based on hyaluronic acid and doxorubicin hydrochloride was prepared by an acid-labile hydrazone linkage, and then conjugated with amine-modified iron oxide nanoparticles by a carbodiimide mediated coupling reaction. The resultant hybrid nanoparticles have the characteristics of good water dispersibility, superparamagnetic property and high magnetic relaxivity for magnetic resonance imaging. In particular, they demonstrated significant cellular uptake and specific accumulation in human hepatocellular liver carcinoma HepG2 cells due to specific biological recognition of hyaluronic acid. In addition, in vitro cumulative release of doxorubicin hydrochloride from the resultant hybrid nanoparticles was significantly accelerated at a mildly acidic pH of 5.0–6.0 when compared to its release at the physiological pH of 7.4, suggesting the pH-responsive feature of this conjugated prodrug for effective chemotherapy of hepatocellular carcinoma. In vivo antitumor efficacy of the mice further confirmed the effect.
A SURVEY OF METHODS OF TEXT-TO-IMAGE TRANSLATION

The given work considers the existing methods of text compression (finding keywords or creating summary) using RAKe, lex Rank, luhn, lSA, Text Rank algorithms; image generation; text-to-image and image-to-image translation including gANs (generative adversarial networks). Different types of gANs were described such as StylegAN, gaugAN, Pix2Pix, CyclegAN, BiggAN, AttngAN. This work aims to show ways to create illustrations for the text. First, key information should be obtained from the text. Second, this key information should be transformed into images. There were proposed several ways to transform keywords to images: generating images or selecting them from a dataset with further transforming like generating new images based on selected ow combining selected images e.g. with applying style from one image to another. Based on results, possibilities for further improving the quality of image generation were also planned: combining image generation with selecting images from a dataset, limiting topics of image generation.
INDIGENOUS MOLECULAR SCISSORS FROM LABORATORY MICROBES - ISOLATION AND EVALUATION OF RESTRICTION DIGESTION EFFICACIES

Enzymes are important for the metabolic activities, self-protection and survival of the bacteria as well as are sources for the toxin production. Most of the bacterial enzymes are used in textile, food, pharmaceutical and in various different industries. Bacterial enzymes also play an important role in molecular biology techniques. Molecular scissors are available commercially, characterized with known activity. An attempt has been made to isolate, identify the bacteria and assess the potential of bacteria as an indigenous source of restriction enzymes. Bacterial enzymes from known laboratory microorganisms, capable of working as molecular scissors have been identified during the current study which can be compared to commercial kits. The indigenous procedure found to be easy, possible at laboratory levels with low production cost and efficient performance levels to obtain restriction enzymes.
Impacts of Cellular Electrophysiological Variability on Conduction Velocity Within Isolated Tissue and Depolarization and Repolarization Across the Whole Atrial Model

Improved understanding of the impact of variability on electrophysiological mechanisms is key to understanding the cause and development of cardiovascular disease. Recent studies suggest cellular variability could have an impact on electrophysiological behavior that homogeneous models are unable to capture. This study investigates the impact of cellular variability on conduction velocity and the depolarization and repolarization phases of the atria. Method: 10 Isolated tissue samples for each atrial region were calibrated for CV and later combined in a detailed anatomical atrial model. Variable models were compared with equivalent homogeneous models. Activation maps and APD maps were used for comparison. Results: In isolated tissue simulations, differences in tissue conductance (Gi) ranged between 5.5% reduction to 5.4% increase as a result of heterogeneity, despite differences in CV being <1%. Activation maps showed no significant differences between regionally homogeneous and heterogeneous atrial models. Repolarization across the atria differed significantly between regionally homogeneous and heterogeneous atrial models. Conclusion: Cellular variability has no significant impact on depolarization but significantly influences atrial repolarization. This could result in increased susceptibility to re-entries and atrial fibrillation.
Designing an Efficient Self-Assembled Plasmonic Nanostructures from Spherical Shaped Nanoparticles

We reveal the significance of plasmonic nanoparticle’s (NP) shape and its surface morphology en route to an efficient self-assembled plasmonic nanoparticle cluster. A simplified model is simulated in the form of free-space dimer and trimer nanostructures (NPs in shape of sphere, cube, and disk). A ~ 200 % to ~ 125% raise in near field strength (gap mode enhancement) is observed for spherical NPs in comparison with cubical NPs (from 2 nm to 8 nm gap sizes). Full-width three-quarter maximum reveals better broad-spectral optical performance in a range of ~ 100 nm (dimer) and ~ 170 nm (trimer) from spherical NPs as compared to a cube (~ 60 nm for dimer and trimer). These excellent properties for sphere-based nanostructures are merited from its dipole mode characteristics.
Capital structure and Board of Directors: A quantile regression approach

This paper documents asymmetric impact of various board characteristics on capital structure in six European countries (Austria, Belgium, France, Germany, Luxembourg and Netherlands) during the period between 2008 and 2014. Quantile regression estimates show asymmetric impact of independence of board’s audit committee, presence of CEO in the board, and Chairmanship of Ex-CEO on capital structure at 10th and 90th quantile.
Molecular Identification of Trypanosoma theileri and Biology of Trypanosomes

Trypanosoma theileri (T. theileri ) is a non-pathogenic, cosmopolitan, and commensal protozoa of cattle. The main objective of the current study was to investigate the biology and feasibility of T. theileri as a model candidate for the discovery of a novel drug. In the present study, the isolates of T. theileri obtained from the Institute of Tropical Medicine (ITM) in SDM 79 were cultivated at 26oC. Eight experiments with different inoculum and different times were grown. The growth curve was plotted to check the growth trends. The doubling time in the logarithmic phase was determined to be 17.43 hours. In addition, an experimental infection was done on a 3-month-old Holstein Friesian calf to isolate the blood-streaming shape; however, it was not successful after the blood buffy coat smear and PBMC culture in RPMI 1640 and HMI 9. Furthermore, the viability was determined by quantitative colorimetric Resazurin assay in 96-well fluorescence Microplates containing 0.4 to 2.4 mM of Resazurin. On the other hand, the response to Pentamidine (1-100 ng/mL) showed a strong negative correlation between the fluorescence signal and the highest Pentamidine concentration. IC50 was 9.25 ng/mL. Genomic DNA was extracted using the phenol-chloroform method. The gradient PCR amplification using T. theileri specific PCR (Tth625-PCR) primers was detected at 465 base pair (bp). In addition, the full-length 18S rDNA sequence was detected at 730 bp. In the silico analysis using common anti-trypanosome drug targets, no significant similarity could be found on either the DNA or the protein level. Nevertheless, homologous sequences have been identified among the drug targets for Ornithine decarboxylase. Therefore, the analysis might show the possibility of using T. theileri as a model for the search of new drugs once they have entire genome sequences. Analysis of the whole genome and transcriptome indicated a phylogenetic relationship between T. theileri and other pathogenic trypanosomes which can be the basis for novel drug development.
Isolation and Screening of Proteolytic Bacteria from Sandy Soil in Sadat City, Egypt

Proteases are one of the most studied microbial group of enzymes for their importance at commercial, industrial, pharmaceutical and also diagnostic fields. The aim of this work was the isolation of proteolytic bacteria from soil and characterization of their proteolytic activity. Two effective protease producing bacterial isolates have been obtained from soil from Sadat City and evaluated its extracellular protease production properties by exhibiting a clear zone on media containing skimmed milk casein as a substrate for the protease enzyme. The strains have been identified according to basic biochemical tests using Bergey’s Manual of Systematic Bacteriology as Bacillus sp. Scanning electron microscopy revealed morphology of Cells of Bacillus colonies tended to be longer than in liquid culture and irregular in shape and to give the appearance of branching. The 16s rRNA gene pcr and sequencing were used for species identification of the 2 isolates. And by analysis of the sequence results using the BLASTn, it revealed that one isolate (Ash1) was identified as bacillus cereus and the other (Ash2) was bacillus subtilis. The enzyme production reached its maximum level at pH 8.0 at 37oC incubation temperature, under aerated environment, suggesting the enzyme produced is alkaline in nature. The Bacillus cereus strain Ash1 and B. subtilis Ash2 showed maximum growth at 37oC with alkaline protease production at pH 8.0 and at 150 rpm. This study reveals the importance of genus bacillus in protease production among the bacterial population in soil, although the narrow scale this study was applied on, but it has to be studied on larger scales in Egypt, an issue that will provide many beneficial information for various fields particularly the industrial sectors.
Argo Scholar: Interactive Visual Exploration of Literature in Browsers

Discovering and making sense of relevant research literature is fundamental to becoming knowledgeable in any scientific discipline. Visualization can aid this process; however, existing tools' adoption and impact have often been constrained, such as by their reliance on small curated paper datasets that quickly become outdated or a lack of support for personalized exploration. We introduce Argo Scholar, an open-source, web-based visualization tool for interactive exploration of literature and easy sharing of exploration results. Argo Scholar queries and visualizes Semantic Scholar's live data of almost 200 million papers, enabling users to generate personalized literature exploration results in real-time through flexible, incremental exploration, a common and effective method for researchers to discover relevant work. Our tool allows users to easily share their literature exploration results as a URL or web-embedded IFrame application. Argo Scholar is open-sourced and available at https://poloclub.github. io/argo-scholar/.
Effects of Different Levels of Moringa oleifera Whole Hydroalcoholic Extract and Seed Powder on the Hatching Rate, Nutritional Value, and Immune Response of Chukar Partridge Eggs. J. World Poult. Res., 11 (3): 293-301. DOI: https://dx.doi.org/10.36380/jwpr.2021.35

Department of Animal Sciences, Faculty of Agricultural and Natural Resources, Persian Gulf University, Bushehr, Iran Department of Plant Breeding, Faculty of Agricultural and Natural Resources, Persian Gulf University, Bushehr, Iran Department of Medicinal Chemistry, Faculty of Chemistry, Shiraz University of Technology, Shiraz, Iran *Corresponding author`s E-mail address: h.habibi@pgu.ac. ir; ORCID: 0000-0001-8162-6205 Received: 08 June 2021 Accepted: 05 August 2021 ABSTRACT
Effect of different acid catalysts on the properties of activated carbon fiber precursors obtained from phenolated wheat straw

ABSTRACT In this study, wheat straw (WS) was successfully liquefied into phenol (Ph) in the presence of sulfuric and phosphoric acid at different Ph:WS ratios. The liquefied wheat straw (LWS) was mixed with the crosslinking agent hexamethylenetetramine and applied for manufacturing of activated carbon fiber precursors (ACFPs) via melt-spinning. The ACFPs were cured into a solution consisted of hydrochloric acid and formaldehyde. The morphological, thermal, and chemical properties of the ACFPs were investigated using microscopic, thermogravimetric, and spectroscopic analyses while the amount of the combined phenol (CPh) was determined via liquid chromatography. The results indicated that the type of the acid catalyst and Ph:WS ratio had a great impact on CPh and unliquefied residue. The sulfuric acid showed better performance due to its strong acidic characteristics. The results of the analyses depicted that the ACFPs obtained from sulfuric acid-based LWS resin had a more decent morphological texture, thermal resistance, and chemical structure.