Miracle-dz/UniFAR-FTUs huggingface dataset:
Autism Spectrum Disorder Screening Practices of Part C Early Intervention Providers: A Brief Report

An early diagnosis of autism spectrum disorder (ASD) can improve outcomes for children and assist families in accessing services. Part C providers are often tasked with screening for ASD. The purpose of this study was to survey Part C providers nationwide to understand their ASD screening practices and training needs and extend a survey conducted by Tomlin and colleagues. A total of 327 providers participated. Results indicated a majority of respondents (75.8%) screen for ASD using a variety of different measures, while only 26.9% are required by their program to conduct universal screenings. Most participants reported feeling confident in screening for ASD, discussing a child’s red flags with a family, referring a child for further evaluation, and discussing recent evidence surrounding ASD. An area where providers were less confident was working with interpreters to screen for ASD or discuss screening results and ASD with families with cultural or linguistic diversity. Despite high confidence levels in screening for ASD, a vast majority of participants reported they would be interested in attending a training on screening for ASD. Professional development surrounding screening for ASD and discussing ASD with families from diverse backgrounds may assist in improving Part C provider screening practices.
The Antioxidant and DNA Protection Activity of the Tarragon’s Methanolic Extract

For many years plants were regarded as an important source of medical materials that are used extensively for treating and/or avoiding disease. Tarragons (Artemisia dracunculus) has a long history of medicinal uses and is applied for curative purposes. The important phytochemicals (flavonoid and tannin) in the methanolic extract of Tarragon’s dried leaves were estimated qualitatively and quantitatively, and the free radical scavenging activity against hydrogen peroxide was detected. Also, the methanolic extract’s ability to protect the human genomic DNA from Tarragon’s harmful compound was theoretically detected by doing a docking study for some tannin and flavonoid compounds in the DNA. And practically by incubating the human DNA with the Tarragon’s methanolic extract. Both flavonoid and tannin were found in Tarragon’s methanolic extract with about13.4 ± 0.133 mg of quercetin equivalent/gm of flavonoid and 17.7± 2.05 mg of tannic acid equivalent/gm of tannin. Additionally, the extract’s IC50 for H2O2 scavenging activity was about 3.42 ± 0.073 mg/mL, and the Tarragon’s extract’s highest inhibition percentage was about 34.37% compared with (48.57%) for ascorbic acid. Almost the Tarragon’s section has a protective and no damaging effect on DNA. That was confirmed by the high scores of binding energy between flavonoid and tannin compounds with DNA in the docking study. That means there is no direct damaging effect of edible tarragon leaves on the human genomic DNA, which may be strongly related to the content of active phytochemicals (tannin and flavonoids) in leaves.
Applying importance sampling for estimating coherent credit risk contributions

A Monte Carlo simulation method based on importance sampling is applied to the problem of determining individual risk contributions of the obligors in a credit portfolio. The effectiveness of the method is benchmarked against standard Monte Carlo techniques and the asymptotic optimality of the method is proved. The risk measure adopted is expected shortfall, a particualr coherent risk measure. The concept of a coherent risk spectrum is discussed on the basis of some numerical examples.
Evaluation of augmented RSM for interaction of homogeneous turbulent mixture with shock and rarefaction waves

Interaction of shock or rarefaction waves with turbulent mixtures is challenging for turbulence models. A recent article has shown how results from linear interaction analysis (LIA) can be synthesised into transfer matrices relating upstream and downstream second-order turbulent correlations. These results have been obtained in the limit of axisymmetric weakly turbulent mixture. The current article is devoted to the evaluation of three augmented Reynolds stress models (RSMs) for the same kinds of interaction with weakly turbulent mixtures. Corrections aimed at improving the compatibility with LIA are finally proposed for one of these RSMs.
The Robin problems on domains with many tiny holes

SOit Ω un domaine borne de R u N, N≥2, a frontiere lisse T et a vecteur unite normal exterieur νΓ sur Γ. De Ω on retire toutes les boules B I (re) telles que dist (B i (r u e), Γ)≥e et on obtient Re avec ne trous. Soit α une constante positive et νe le vecteur normal sur ∂Re. Pour f∈L 2 (Ω) on cherche ue∈H 1 (Re) tel que −Δue=f dans Re, ∂ue/∂νe+αue=0 sur ∂Re
Variable and Embedded Stars in the Galactic Center

We report results of a time series analysis of high-resolution K-band imaging, photometry, and polarimetry of stars in the Galactic center cluster covering 7 consecutive years. In our statistical sample with mK < 13, about half of the stars show indication of variability consistent with most of them being long-period variable, asymptotic giant branch stars. Some long-period variables already proposed in the literature are confirmed. They are identified with asymptotic giant branch stars. For the first time we show that the bright He I source IRS 16SW is a short-period variable with a period of ~9.72 days. It is most likely an eclipsing binary with a lower mass limit of ≥100 solar masses. This confirms previous modeling of characteristics of the near-infrared spectra, which also indicated that IRS 16SW is a massive, young hot star. We also present the results of a polarization survey covering the central parsec of the Galaxy. Stars whose polarization vectors differ from the overall polarization, which is parallel to the Galactic plane, are mostly situated in the "minispiral,"a region of high thermal flux density at centimeter-radio wavelengths. Some of these sources appear extended in the high-resolution images and have featureless red spectra. We interpret these objects as young stars that may have just recently been formed and are still embedded in a dust shell.
Influence of velocity‐magnetic field correlations on decaying magnetohydrodynamic turbulence with neutral X points

Direct numerical simulations at resolutions up to (512)2 of developed turbulence in nondriven two‐dimensional incompressible magnetohydrodynamic (MHD) flows are presented. In all cases, there is no background magnetic field. Nevertheless, periodic exchanges of kinetic and magnetic energies are observed, an effect that is reminiscent of interference of linear Alfven waves; three‐dimensional runs also display such oscillations. This effect is inhibited by the velocity‐magnetic field correlations. It is also found that the correlations do not sizably affect the characteristic transfer time of energy to the small scales, but significantly reduce the maximum amplitude of velocity and magnetic field gradients. It is shown that velocity‐magnetic field correlation also affects inertial range spectral indices, a result that validates predictions based on two‐point closures [Astron. Astrophys. 126, 151 (1983)].
Symbolic Analysis of Chaotic Signals and Turbulent Fluctuations

The symbolic analysis introduced in this paper allows quantitative description of dynamical coupling between different time signals. In order to demonstrate how this method works we applied it to the explicit examples of chaotic signals.Our results appear to be quite robust when external noise is added. {copyright} {ital 1996} {ital The American Physical Society}
Establishment and validation of a torsade de pointes prediction model based on human iPSC‑derived cardiomyocytes

Drug-induced cardiotoxicity is one of the main causes of drug failure, which leads to subsequent withdrawal from pharmaceutical development. Therefore, identifying the potential toxic candidate in the early stages of drug development is important. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a useful tool for assessing candidate compounds for arrhythmias. However, a suitable model using hiPSC-CMs to predict the risk of torsade de pointes (TdP) has not been fully established. The present study aimed to establish a predictive TdP model based on hiPSC-CMs. In the current study, 28 compounds recommended by the Comprehensive in vitro Proarrhythmia Assay (CiPA) were used as training set and models were established in different risk groups, high- and intermediate-risk versus low-risk groups. Subsequently, six endpoints of electrophysiological responses were used as potential model predictors. Accuracy, sensitivity and area under the curve (AUC) were used as evaluation indices of the models and seven compounds with known TdP risk were used to verify model differentiation and calibration. The results showed that among the seven models, the AUC of logistic regression and AdaBoost model was higher and had little difference in both training and test sets, which indicated that the discriminative ability and model stability was good and excellent, respectively. Therefore, these two models were taken as submodels, similar weight was configured and a new TdP risk prediction model was constructed using a soft voting strategy. The classification accuracy, sensitivity and AUC of the new model were 0.93, 0.95 and 0.92 on the training set, respectively and all 1.00 on the test set, which indicated good discrimination ability on both training and test sets. The risk threshold was defined as 0.50 and the consistency between the predicted and observed results were 92.8 and 100% on the training and test sets, respectively. Overall, the present study established a risk prediction model for TdP based on hiPSC-CMs which could be an effective predictive tool for compound-induced arrhythmias.
Parameter estimation in X-ray astronomy

The problems of model classification and parameter estimation are examined, with the objective of establishing the statistical reliability of inferences drawn from X-ray observations. For testing the validities of classes of models, the procedure based on minimizing the chi/sup 2/ statistic is recommended; it provides a rejection criterion at any desired significance level. Once a class of models has been accepted, a related procedure based on the increase of chi/sup 2/ gives a confidence region for the values of the model's adjustable parameters. The procedure allows the confidence level to be chosen exactly, even for highly nonlinear models. Numerical experiments confirm the validity of the prescribed technique.The chi/sup 2//sub min/+1 error estimation method is evaluated and found unsuitable when several parameter ranges are to be derived, because it substantially underestimates their joint errors. The ratio of variances method, while formally correct, gives parameter confidence regions which are more variable than necessary. (AIP)
A PANAS Structure Analysis: On the Validity of a Bifactor Model in Korean College Students

The purpose of this study was to determine the best model fit among the six models in the Korean version of Positive and Negative Affect Schedule (K-PANAS). Therefore, this study compared and analyzed the dimensional structure of this schedule for Korean college students. Specifically, the model fitness of six models, which are under debate, were compared: a single model for K-PANAS, a two-factor model (PA&NA) without any factor correlation, a three-factor model (PA, NA-Afraid, NA-Upset), a two-factor bifactor model, a three-factor bifactor model, and a three-factor bifactor model with error correlation. A total of 875 samples were analyzed, and the results show that best model fit is the three-factor bifactor model with error correlation. We named the general factor of the bifactor model “activation (or arousal). ” This findings of this study will provide a richer explanation of emotions for researchers analyzing emotional activation (or arousal), a general factor of emotion, PA, and NA future studies that use PANAS.
Clustering of grapevine ( Vitis vinifera L.) genotypes with Kohonen neural networks

Self-organizing maps generated by Kohonen neural networks provide a method to transform multidimensional problems common in ampelography into lower dimensional problems. In this study the clustering efficiency of Kohonen neural networks was evaluated to characterize and identify 10 Sangiovese-related and 10 "coloured" (fruit gives intense red colour to the wine) grapevine accessions, on the basis of the elliptic Fourier coefficients of the leaves. The non-supervised learning algorithm used allowed apriori classification of the accessions. The results enabled us to distinguish between 16 accessions and to denote two pairs of synonyms, To obtain quantitative information regarding relationships among these accessions, Kohonen neural networks were trained with different numbers of neurons in the Kohonen output layer permitting the graphical representation of the similarity by construction of a dendrogram. In agreement with previous studies based on molecular markers and neural network technology, a high similarity was found for the ecotypes (1) Prugnolo acerbo, Prugnolo dolce and Prugnolo medio and (2) Brunelletto and Prugnolo gentile. Among the Sangiovese-related accessions the so-called Casentino ecotype diverged from all the others, probably indicating a different origin. Producing easily comprehensible low-dimensional maps, the Kohonen neural networks approach proposed here allows to study complex ampelographic data elucidating relationships that can not be detected by traditional data analysis tools.
Characteristics of Staphylococcus aureus Isolated from Patients in Busia County Referral Hospital, Kenya

Staphylococcus aureus is an important pathogen associated with hospital, community, and livestock-acquired infections, with the ability to develop resistance to antibiotics. Nasal carriage by hospital inpatients is a risk for opportunistic infections. Antibiotic susceptibility patterns, virulence genes and genetic population structure of S. aureus nasal isolates, from inpatients at Busia County Referral Hospital (BCRH) were analyzed. A total of 263 inpatients were randomly sampled, from May to July 2015. The majority of inpatients (85.9%) were treated empirically with antimicrobials, including ceftriaxone (65.8%) and metronidazole (49.8%). Thirty S. aureus isolates were cultured from 29 inpatients with a prevalence of 11% (10.3% methicillin-susceptible S. aureus (MSSA), 0.8% methicillin resistant S. aureus (MRSA)). Phenotypic and genotypic resistance was highest to penicillin-G (96.8%), trimethoprim (73.3%), and tetracycline (13.3%) with 20% of isolates classified as multidrug resistant. Virulence genes, Panton-Valentine leukocidin (pvl), toxic shock syndrome toxin-1 (tsst-1), and sasX gene were detected in 16.7%, 23.3% and 3.3% of isolates. Phylogenetic analysis showed 4 predominant clonal complexes CC152, CC8, CC80, and CC508. This study has identified that inpatients of BCRH were carriers of S. aureus harbouring virulence genes and resistance to a range of antibiotics. This may indicate a public health risk to other patients and the community.
A STUDY OF SUPERFICIAL VENOUS PATTERNS OF THE CUBITAL FOSSA AMONG THE IRAQI POPULATION

Blood can be drawn from the cubital fossa's superficial veins for transfusion, analysis, and intravenous therapy. The superficial veins (basilic vein (BV), cephalic vein (CV), median antebrachial vein (MCV)and median cubital vein (MCcV)), are usually visible through the skin and are anatomically variable. This study aims to identify the variation of superficial venous arrangement in “the cubital fossa”. For about two to three minutes, a tourniquet was placed 10-15 cm proximal to the cubital fossa with strong finger flexion and extension till the veins were revealed for inspection. In the cubital fossa, six different kinds of superficial venous patterns were found. There are two types of pattern categories (majors and miners) for 300 volunteers. The pattern type I, II, and III were the high percentage of total patterns among the Iraqi population, with 83.33% and 82.67% for males & females, respectively. While types IV, V, and VI were the less percentage, 16.67% for males and 17.33% for females. In conclusion, knowing pattern types gives a preliminary indication of educational importance for anatomists during dissections and as clinical importance for surgeons and medical staff (nurses in particular) to avoid the damage that may happen while dealing with this anatomical region.
Predicting Migrant Workers’ Intention to Acquire Local Citizenship (Hukou) in Emerging Cities Using Machine Learning Models: A Case Study of Five Dongguan Factories

This paper examines the data from a period when hukou migration was severely restricted, and aims to provide a reproducible analytical methodology with machine-learning methods to model migrants’ willingness to change their hukou. The data in this work is based on questionnaires and interviews collected in five factories in Dongguan from 2005 to 2007. After performing stepwise variable selection, our best-performing model is based on three main predictors: having children, education level, and household income. Analysis of interviews suggests that citizenship is regarded as an individual’s legal status and is used in exchange for other types of capital
Barth Syndrome: Psychosocial Impact and Quality of Life Assessment

Background: Barth syndrome (BTHS) is a rare X-linked genetic disease that affects multiple systems and leads to complex clinical manifestations. Although a considerable amount of research has focused on the physical aspects of the disease, less has focused on the psychosocial impact and quality of life (QoL) in BTHS. Methods: The current study investigated caregiver- (n = 10) and self-reported (n = 16) psychological well-being and QoL in a cohort of BTHS-affected patients and families. Participants completed the depression and anxiety components of the Patient-Reported Outcomes Information System (PROMIS) Short Form 8A and Health-related quality of life (HRQoL) surveys at enrollment and again during a follow-up period ranging from 6 to 36 months after baseline. Results: Quality of life changed significantly over time and the various domains with some improvement and some decline. Among the available caregiver-patient dyad data, there was a trend toward discordance between caregiver and self-reported outcomes. Most notably, patients reported improvement in HRQoL, while caregivers reported declines. This suggests that there may be differences in perceived quality of life between the patients and parents, though our study is limited by small sample size. Conclusion: Our study provides valuable insights into the impacts of psychosocial and mental health aspects of BTHS. Implications of these findings include incorporating longitudinal assessment of QoL and screening for psychological symptoms in BTHS care to identify interventions that may drastically impact health status and the course of the disease.
DELAY OF GERMINATION 1, the Master Regulator of Seed Dormancy, Integrates the Regulatory Network of Phytohormones at the Transcriptional Level to Control Seed Dormancy

Seed dormancy, an important adaptive trait that governs germination timing, is endogenously controlled by phytohormones and genetic factors. DELAY OF GERMINATION 1 (DOG1) is the vital genetic regulator of dormancy, significantly affecting the expression of numerous ABA and GA metabolic genes. However, whether DOG1 could influence the expression of other phytohormone-related genes is still unknown. Here, we comprehensively investigated all well-documented hormone-related genes which might be affected in dog1–2 dry or imbibed seeds by using whole-transcriptome sequencing (RNA-seq). We found that DOG1 could systematically control the expression of phytohormone-related genes. An evident decrease was observed in the endogenous signal intensity of abscisic acid (ABA) and indole-3-acetic acid (IAA), while a dramatic increase appeared in that of gibberellins (GA), brassinosteroids (BR), and cytokinin (CK) in the dog1–2 background, which may contribute considerably to its dormancy-deficient phenotype. Collectively, our data highlight the role of DOG1 in balancing the expression of phytohormone-related genes and provide inspirational evidence that DOG1 may integrate the phytohormones network to control seed dormancy.
5—THE STRUCTURE AND TENSILE PROPERTIES OF BRAIDS

Part I of the paper analyses in detail the structure of diamond braid, and its geometry is developed, based on assumptions similar to those of Peirce9. The difficulties of determining braid length which result from its unique structure are considered. In Part II, a practical method of testing tubular braids to find their tensile properties is described. Comparisons between different methods of determination of initial length are made, providing reasonable confirmation of the geometry. The tensile properties of certain braids are compared in relation to the construction of the braids and to the properties of their constituent threads.
HUBUNGAN BERAT BADAN LAHIR DENGAN RUPTUR PERINEUM PADA PRIMIGRAVIDA DI WILAYAH RURAL

ABSTRAK Ruptur perineum adalah perlukaan jalan lahir yang terjadi pada saat kelahiran bayi dengan menggunakan alat maupun tidak menggunakan alat. Ruptur perineum dapat disebabkan oleh paritas, jarak kelahiran dan berat badan bayi. Tujuan dari penelitian ini adalah untuk mengetahui hubungan berat badan lahir dengan ruptur perineum pada primigravida di wilayah rural. Jenis penelitian ini menggunakan metode survey deskriptif. Sampel pada penelitian ini adalah 282 ibu yang melahirkan dan mengalami ruptur perineum tingkat I, tingkat II, tingkat III, tingkat IV di Rumah Sakit Umum Daerah Batara Siang Kabupaten Pangkep.Teknik pengambilan sampel yaitu dengan total sampling. Hasil penelitian menunjukkan ruptur perineum derajat I sebesar 29,8%, derajat II sebesar 35,1%, derajat III sebesar 20,5% dan derajat IV sebesar 14,6%. Data dianalisis menggunakan chi-square dan didapatkan hasil p value 0,002 < 0,05 yang berarti terdapat hubungan antara berat badan lahir dengan ruptur perineum pada primigravida di wilayah rural. Kata kunci: Berat badan lahir, ruptur perineum, primigravida ABSTRACT Perineal rupture is an injury to the birth canal that occurs at the time of the baby's birth using or not a tool. Perineal rupture can be caused by parity, birth spacing and baby weight. The purpose of this study was to determine the relationship between birth weight and perineal rupture in primigravida at rural area. This type of research uses a descriptive survey method. The sample in this study were 282 mothers who gave birth and experienced perineal rupture at level I, level II, level III, level IV at the RSUD Batara Siang Kabupaten Pangkep. The sampling technique is total sampling. The results showed that the level I of perineal rupture was 29.8%, level II was 35.1%, level III was 20.5% and level IV was 14.6%. The data were analyzed using chi-square and the results obtained p value 0.000 <0.05, which means that there is a relationship between birth weight and perineal rupture in primigravida at rural area. Keywords: Birth weight, perineal rupture, primigravida