Miracle-dz/UniFAR-FTUs huggingface dataset:
Toddlers at Elevated Likelihood for Autism: Exploring Sensory and Language Treatment Predictors

Baseline child characteristics may predict treatment outcomes in children with or at elevated likelihood of developing autism (EL-ASD). Little is known about the role of child sensory and language features on treatment outcome. Participants were randomly assigned to a parent-mediated intervention or control condition. Analyses explored the relationship between baseline child sensory and language characteristics and changes in ASD symptoms over approximately 9 months. Higher baseline sensory hyporeactivity was significantly related to less improvement in social communication (SC) for the treatment group only. More baseline atypical vocalizations were significantly related to less improvement on SC across treatment and control groups. This work provides an initial framework to encourage the tailoring of interventions for EL-ASD children, suggesting sensory reactivity and atypical vocalizations may be useful behaviors to consider in treatment planning.
Disturbance-Observer-Based Adaptive Fuzzy Control for Islanded Distributed Energy Resource Systems

With the aim to improve the antidisturbance ability of the islanded distributed energy resource (DER) systems, a disturbance-observer-based adaptive fuzzy sliding mode control (DAFSC) voltage controller is designed based on indirect vector control, which implements the voltage tracking and improves the self-regulation ability of the islanded DER systems. Firstly, the circuit diagram and the mathematical model of the DER system are presented. Then, the second-order sliding mode differentiator is designed to solve the problem of calculation expansion in the backstepping control method. To solve the influence of lumped disturbance on the system, a disturbance-observer is proposed to observe the unknown disturbance and compensate the controller feed-forward. Moreover, fuzzy control is proposed to reduce the dependence of the control effect on model accuracy. Finally, the stability of the controller is verified by Lyapunov stability theory, and the hardware in the loop results is given to verify that the control effect of the proposed DAFC controller has better dynamic performance compared with proportion-integral (PI) and the backstepping control strategy.
Radiographic Volumetric assessment of secondary alveolar cleft grafting using stem cells tissue-engineering

Objective: To compare the radiographic outcome of alveolar cleft bone grafting with expanded mesenchymal stem cells (MSCs) seeded into a resorbable matrix to standard iliac cancellous bone graft. Subjects and methods: Fifteen patients with unilateral alveolar cleft aged 7-12 years old were randomly divided into two groups: Group I: Alveolar cleft grafting with expanded autogenous bone marrow stem cells seeded in collagen sponge, platelet rich plasma and nanohydroxyapatite. Group II: Alveolar cleft grafting with cancellous bone harvested from anterior iliac crest. Ideal cleft volume was calculated from cone beam CT with computer aided engineering. Follow up evaluation with cone beam CT and Bone fill was calculated on three and six months postoperatively. Results: The mean ideal cleft volume was 678 mm3 and 726 mm3 in group I and group II respectively with no significant difference. At three months postoperatively, there was a Significantly difference in the mean volume of bone fill (BF) between group I and group II (7% BF and 47% BF respectively). Furthermore, the difference increased significantly at six months to become 10% BF in group I and 60% BF in group II. Conclusion: The hybridized scaffold used in the study for seeding of stem cells that contains collagen sponge, PRP and nanohydroxyapatite still needs improvement in mechanical and biodegradation properties to support bone tissue engineering. Moreover, the radiographic volumetric analysis of cancellous bone graft which is the gold standard revealed suboptimal results that needs further researches to improve the outcome.
Prevalence and correlates of depression in patients with epilepsy in Sri Lanka.

Background Depression is one of the most common psychiatric disorders in patients with epilepsy and it is often associated with poor quality of life, increased risk of suicide and poor seizure control, yet remains underdiagnosed and undertreated. The prevalence and associations for depression in patients with epilepsy vary between studies reflecting regional and cultural influences. Therefore, it is important to identify unique attributes within a community on this phenomenon This is the first study from Sri Lanka on the prevalence and correlates of depression in patients with epilepsy. Method We conducted this cross-sectional study at the Epilepsy clinic, Colombo North Teaching Hospital, Ragama. All consenting patients with a diagnosis of epilepsy followed up at the clinic, during study period, were enrolled. Symptoms of depression were screened with Beck Depression Inventory II and diagnosis was confirmed with a clinical assessment by psychiatrist. Results Of 150 participants, majority were female 63.3%. (95) and 36.7% (55) of the sample were between 26-45 years. The prevalence of depressive disorder was 22% (33). The prevalence of depression was significantly associated with the recent diagnosis of epilepsy, use of multiple antiepileptic medications and duration of seizure free period (p<0.05). There is a statistically significant association between prevalence of depression with the use of carbamazepine, topiramate, clobazam and phenobarbitone. Regression analysis revealed higher the duration individuals suffering from epilepsy were at lower odds of having depression compared with that of individuals suffering from lower duration of epilepsy. For each year in increase of duration of epilepsy, the odds of depression decreased by 2% (95% CI 0.3% to 5.1%). Conclusion The prevalence of depression is high in patients with epilepsy. Risk of having depression is higher during the early phase of the illness. Therefore, it is important to screen patients with epilepsy for depressive disorder during the early course of the illness.
ID-YOLO: Real-Time Salient Object Detection Based on the Driver’s Fixation Region

Object detection is an important task for self-driving vehicles or advanced driver assistant systems (ADASs). Additionally, visual selective attention is a crucial neural mechanism in a driver’s vision system that can rapidly filter out unnecessary visual information in a driving scene. Some existing models detect all objects in driving scenes from the aspect of computer vision. However, in a rapidly changing driving environment, detecting salient or critical objects appearing in drivers’ interested or safety-relevant areas is more useful for ADASs. In this paper, we managed to detect salient and critical objects based on drivers’ fixation regions. To this end, we built an augmented eye tracking object detection (ETOD) dataset based on driving videos with multiple drivers’ eye movement collected by Deng et al. Furthermore, we proposed a real-time salient object detection network named increase-decrease YOLO (ID-YOLO) to discriminate the critical objects within the drivers’ fixation region. The proposed ID-YOLO shows excellent detection of major objects that drivers are concerned about during driving. Compared with the present object detection models in autonomous and assisted driving systems, our object detection framework simulates the selective attention mechanism of drivers. Thus, it does not detect all of the objects appearing in the driving scenes but only detects the most relevant ones for driving safety. It can largely reduce the interference of irrelevant scene information, showing potential practical applications in intelligent or assisted driving systems.
Lubrification

Principe de la lubrification Une des circonstances importantes dans laquelle l’inertie du fluide peut être négligée concerne les écoulements dits de lubrification. Ce terme recouvre les écoulements de fluides visqueux confinés entre deux parois solides très proches en mouvement relatif. Les deux parois délimitent un espace de très grand rapport d’aspect : l’épaisseur moyenne < h > est très petite devant la longueur L. De plus, si l’épaisseur h varie d’un point à un autre de l’écoulement, nous nous restreignons au cas où cette variation est très lente, c’est-à-dire : dh/dx << 1. On considère le problème du palier hydraulique très utilisé en tribologie et en applications de la théorie de la lubrification (palier fluide, film visqueux, butées de Michell.)
Translational Implications of Dysregulated Pathways and microRNA Regulation in Quadruple-Negative Breast Cancer

Triple-negative breast cancers (HER2−, ER−, PR−) continue to present a unique treatment challenge and carry unfavorable prognoses. The elucidation of novel therapeutic targets has necessitated the re-evaluation of stratification approaches to best predict prognosis, treatment response and theranostic and prognostic markers. Androgen receptor expression and function have important implications on proliferation, tumor progression, immunity and molecular signaling in breast cancer. Accordingly, there has been increasing support for classification of androgen receptor-negative triple-negative breast cancer or quadruple-negative breast cancer (QNBC). QNBC has unique molecular, signaling and expression regulation profiles, particularly those affected by microRNA regulatory networks. microRNAs are now known to regulate AR-related targets and pathways that are dysregulated in QNBC, including immune checkpoint inhibitors (ICIs), SKP2, EN1, ACSL4 and EGFR. In this review, we explore and define the QNBC tumor subtype, its molecular and clinical distinctions from other subtypes, miRNA dysregulation and function in QNBC, and knowledge gaps in the field. Potential insights into clinical and translational implications of these dysregulated networks in QNBC are discussed.
Supplementary material to "Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1)"

3 Agreement of daily precipitation between nudged EAMv1 simulations and TRMM satellite observations • Figures S2. Spatio-temporal distribution of daily precipitation from 1 June to 31 August 2010 from TRMM satellite observations and the anomaly correlations between nudged EAMv1 simulations and TRMM satellite observations. • Figures S3. As in Figures S2, but showing the root-mean-square errors (RMSEs) between the nudged EAMv1 simulations and TRMM satellite observations. 15
Type 1 Diabetes Impairs Cardiomyocyte Contractility in the Left and Right Ventricular Free Walls but Preserves It in the Interventricular Septum

Type 1 diabetes (T1D) leads to ischemic heart disease and diabetic cardiomyopathy. We tested the hypothesis that T1D differently affects the contractile function of the left and right ventricular free walls (LV, RV) and the interventricular septum (IS) using a rat model of alloxan-induced T1D. Single-myocyte mechanics and cytosolic Ca2+ concentration transients were studied on cardiomyocytes (CM) from LV, RV, and IS in the absence and presence of mechanical load. In addition, we analyzed the phosphorylation level of sarcomeric proteins and the characteristics of the actin-myosin interaction. T1D similarly affected the characteristics of actin-myosin interaction in all studied regions, decreasing the sliding velocity of native thin filaments over myosin in an in vitro motility assay and its Ca2+ sensitivity. A decrease in the thin-filament velocity was associated with increased expression of β-myosin heavy-chain isoform. However, changes in the mechanical function of single ventricular CM induced by T1D were different. T1D depressed the contractility of CM from LV and RV; it decreased the auxotonic tension amplitude and the slope of the active tension–length relationship. Nevertheless, the contractile function of CM from IS was principally preserved.
EFFECT OF CYANOBACTERIA AS AN ALTERNATIVE SOURCE OF MINERAL NITROGEN ON THE YIELD AND CHEMICAL COMPOSITION OF RED CABBAGE UNDER SOILLESS CULTURE SYSTEM

A soilless culture experiment was carried out in plastic house of Soils and Water Department, Faculty of Agriculture, Al-Azhar University )Nasr City, Cairo, Egypt) during the winter seasons of 2014 and 2015 to investigate the effect of two cyanobacteria isolates (Anabaena variabilis and Nostoc commune) as alternative sources of mineral nitrogen on yield and chemical composition of red cabbage (Brassica oleracea var capitata forma rubra L.) cv. Ruby Perection F1 hybrid. Cyanobacteria isolates were introduced to Hoagland nutrient solution minus N, 0.50 or 0.75 strength. Results showed the highest significant values of fresh and dry weights of red cabbage leaves and nitrogen content were found with the addition of N. commune to 0.75 strength of Hoagland nutrient solution followed by the addition of A. variabilis to 0.75 strength of the nutrient solution followed by full strength of the nutrient solution. While the highest values of anthocyanins and vitamin c were found with addition of either N. commune or A. variabilis to Hoagland nutrient solution minus N followed by the full nutrient solution. The addition of cyanobacteria isolates to 0.5 strength of Hoagland nutrient solution caused a significant increase in the yield of red cabbage and nitrogen content as compared with half strength of the nutrient solution. On the other hand, the lowest results were recorded with Hoagland nutrient solution minus N, while the addition of N. commune or A. variabilis to Hoagland nutrient solution minus N caused significant increases in all the tested parameters. The results indicate the importance of cyanobacteria for the quality of the red cabbage yield and reducing the chemical fertilizer input. On the other hand, the relatively reduction in the yield of red cabbage resulted from the addition of cyanobacteria to the nutrient solutions minus nitrogen can be acceptable if we take into consideration the high contents of anthocyanins and vitamin c which act as antioxidants in human diet as well as the low content of nitrate.
PETROGENESIS OF HOMRAT EL-GIRIGAB ALKALI-FELDSPAR GRANITES, NORTHERN EASTERN DESERT, EGYPT

Homrat El-Girigab area located at Northern Eastern Desert which, characterized by abundant intrusion of calc-alkaline and alkaline/peralkaline granitoids and their associated volcanics. These granitoids have a particular geodynamic interest as they provide an outstanding opportunity to tell how continental crust of ANS was formed. Homrat El-Girigab area is covered by Dokhan volcanics (andesite & dacites), which intruded by alkali-feldspar granites. The chemistry of biotites indicates that, the alkali-feldspar granites were crystallized from alkaline crustal source under oxidized conditions (i.e. nickel-nickel oxide buffer or NNO). They were crystallized under conditions including, temperatures range from 700 to 750 ̊C, pressures 3 to 4 kbar, depths of emplacement range from 7 to 11 km and under Oxygen fugacity (log fO2) ranges from -15 to -16. Homrat El-Girigab alkali-feldspar granites (HGAFGs) are alkaline, ferroan anorogenic (i.e. extensional) A-type granites. They were emplaced during the late post-collisional crustal extensional stage at which the effect of lithospheric delamination, and thus asthenospheric uprise, likely diminishes. At this stage the mantle-derived mafic melts start intraplating the lower crustal levels, that facilitated by the abundance of strike-slip faults and shear zones. This lithospheric intraplating caused widespread melting producing the alkaline magma of HGAFGs. The studied granites were derived from lower crustal amphibolitic source and evolved mainly by fractional crystallization.
Emotional Analysis of Man-machine Interaction Interface Design

Good design is to create excellent usage practice of user interface.In the immaterial society,the interactive interface design has to not only meet the needs of users to function,but also let users utilize it simply and enjoyably.Based on the analysis of interactive interface design,this paper analyzed kansei engineering in order to find ways to interactive interface design.
Food-derived bioactive peptides-methods for purification and analysis

Bioactive peptides attract the attention of researchers thanks to their high potential to beneficially influence human health. Various activities are reported, and some of these peptides are commercialized as therapeutic agents. Food-related proteins represent an excellent source in this regard. However, the identification, purification, and characterization of bioactive peptides require а complex approach. The full range of analytical techniques is used in combination with the chemical and biological properties of the peptides. The emerging "omics" techniques and "in silico" methods have given a new direction to peptide analysis in recent years. Developing new methods, rapid and low-cost, for the identification, characterization and purification, is a challenging task because of the complexity of food samples. However, bioinformatics is a promising technique for their exploration. These new strategies can predict different types of peptides, their properties and represent a new horizon for releasing their potential. That is why, in this review, we summarize information about methods used for purification and analysis of food-derived bioactive peptides so far, as well as present our point of view about the role of bioinformatics in this process.
Configurable Batch-Processing Discovery from Event Logs

Batch processing is used in many production and service processes and can help achieve efficiencies of scale; however, it can also increase inventories and introduce process delays. Before organizations can develop good understanding about the effects of batch processing on process performance, they should be able to identify potential batch-processing behavior in business processes. However, in many cases such behavior may not be known; for example, batch processing may be occasionally performed during certain time frames, by specific employees, and/or for particular customers. This article presents a novel approach for the identification of batching behavior from process execution data recorded in event logs. The approach can discover different types of batch-processing behaviors and allows users to configure batch-processing characteristics they are interested in. The approach is implemented and evaluated through experiments with synthetic event logs and case studies with real-life event logs. The evaluation demonstrates that the approach can identify various batch-processing behaviors in the context of business processes.
Integrative Analysis of Metabolome and Transcriptome Reveals the Mechanism of Color Formation in Liriope spicata Fruit

Liriope spicata is an important ornamental ground cover plant, with a fruit color that turns from green to black during the development and ripening stages. However, the material basis and regulatory mechanism of the color variation remains unclear. In this study, a total of 31 anthocyanins and 2 flavonols were identified from the skin of L. spicata fruit via integrative analysis on the metabolome and transcriptome of three developmental stages. The pigments of black/mature fruits are composed of five common anthocyanin compounds, of which Peonidin 3–O–rutinoside and Delphinidin 3–O–glucoside are the most differential metabolites for color conversion. Using dual-omics joint analysis, the mechanism of color formation was obtained as follows. The expression of structural genes including 4CL, F3H, F3′H, F3′5′H and UFGT were activated due to the upregulation of transcription factor genes MYB and bHLH. As a result, a large amount of precursor substances for the synthesis of flavonoids accumulated. After glycosylation, stable pigments were generated which promoted the accumulation of anthocyanins and the formation of black skin.
Urea Percentile Curves in Pre-dialysis Children with Chronic Kidney Disease: Efficacy & Limitations.

Introduction: Chronic kidney disease (CKD) carries a lot of co-morbidities. Urea rise may be related to decline in glomerular filtration rate, under nutrition or hyper catabolic state. According to urea percentile curves (UPC), patients with a given glomerular filtration rate show wide range of urea levels. Correlation between urea percentiles and CKD patients’ co-morbidities was suggested in many studies since Montini 2003. Aim of the study: to evaluate the value of UPCs as a simple tool in monitoring metabolic status and progress of CKD comorbidities. Methods: Retrospective revision of patients’ files for their urea levels and GFR at the time of diagnosis and long period after (follow-up). Accordingly, each patient was plotted on UPC graph to determine his urea percentile (UP) at each setting. Patients were classified according to their urea percentile as low, moderate and high UP groups, and classified according to urea percentile progress pattern as ascending, descending and stable groups. Correlations between their co-morbidities and their urea percentiles were statistically analysed. Results: showed correlation between morbidity markers changes in relation to progress course of UP with significant differences in the values of phosphorus rise, bicarbonate changes and frequency of hyperphosphatemia between the 3 groups of urea percentile progress pattern. Conclusion: Follow up pattern of urea percentile in these children is a simple and helpful tool in monitoring their co-morbidities.
Analysis of environmental and genetic factors influencing reproductive traits and calf survival to weaning in Tswana cattle selected for early growth traits

The objective of this study was to determine the environmental and genetic factors affecting reproductive traits and calf survival from birth to weaning in Tswana breed of cattle. Analyses of environmental and genetic effects for calf survival traits were done using 7223 records of animals which were born between 1996 and 2013 from 1659 dams and 188 sires in 54 contemporaries. Analyses of environmental and genetic effects for age at first calving were done using 818 records of animals born between 1998 and 2013 from 611 dams and 136 sires in 49 contemporaries, while calving interval analyses were done using 1804 records of cows born between 1999 and 2013 from 496 dams and 121 sires in 45 contemporaries. Reproductive traits analysed were age at first calving (AFC) and calving interval (CI). AFC was analysed using univariate animal model while CI was analysed using repeatability model. Calf survival to weaning (CS) was analysed as a binomial trait using generalised mixed linear logistic model with logit as link function in the ASREML program. Significant environmental effects for reproductive traits were selection line, calving year and season. CS was significantly influenced by calf sex, selection line, calf-birth weight and dam age. The estimated heritability values for reproductive traits were 0.07±0.02 for CI and 0.10±0.07 for AFC. Heritability estimate obtained for CS was 0.07±0.05. Low genetic variability obtained in reproductive traits and calf survival to weaning trait indicates that improvement of these traits through genetic selection may prove to be slow.