Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative Trait Loci (QTL) Associated With Leaf Development in Winter Triticale (× Triticosecale Wittmack) Seedlings

The vitality and the development in the seedling stage is crucial in winter cereal’s life cycle, especially before and during winter. It has been reported that rapid seedling establishment and early growth may lead to higher crop yield. Localization of cereal genome regions is not often analysed in the seedling stage. The aim of this study was to identify winter triticale genome regions (QTL) associated with seedling leaves development. Based on ‘Hewo’ x ‘Magnat’ DH lines population genetic map composed of 3539 molecular markers assigned to 20 linkage groups with 4997.4 cM map length, in total 40 loci were identified by a composite interval mapping (CIM). Among them, 22 loci appeared in at least two experiments, were common for all analyzed traits as well as were identified on wheat chromosome 4B and on rye chromosomes 1R, 4R, 5R and 6R. Those loci explained up to 21.7% of phenotypic variation (Qwsl.hm.4R.2) and had LOD value up to 31.1 (Qlsl.hm.5R.1). The results of QTLs of seedling leaves development could be successively associated with QTLs of the freezing and fungal infection seedlings tolerance identified in this mapping population.
Uncertainty Modeling in Robotic Maintenance Using Computer Vision

The automated visual inspection is a fast growing technology used in many industrial applications such as for the identification and the repair of damaged critical aeronautical parts. Measuring surface defects consists in taking images with one or several acquisition systems in order to apply digital image processing techniques. These methods use many different algorithms from detection and image registration to segmentation and classification of defects. For a robot-based acquisition, the robot kinematics must be taken into account. The aforementioned systems need a preliminary step of calibration to extract accurate information from the acquired images. Each step of this technology contains several sources of uncertainty due to internal and external factors. The evaluation of those uncertainties allows to quantify the quality of a measurement and identify the parts of the process having higher sensitivity to errors. Considering this large number of systems present in an inspection technology, the main objective of this project is to the estimate the uncertainties associated to the 2D acquisition process of AV&R, i.e. the camera calibration and the related defect detection algorithms. The inspection parts used in this project are fan blades. In particular, the assessment of detection uncertainties is focused on the defects near the leading edge and the root of the blade, the most critical zone. Eight acquisitions are acquired to cover the entire zone. To evaluate the uncertainty of both calibration methods developed by AV&R, the Monte Carlo method is used. Due to technical constrains on reference frames correspondence and the costs involved in the implementation of this method, the focus and depth of field calibration algorithm is adapted to a suitable programming language able to run Monte Carlo simulations. A camera pose estimation algorithm, called Pose from Orthography and Scaling with Iterations (POSIT), is implemented on a setup similar to the one used by AV&R in order to propose an alternative to their second calibration method. Among all the methods involved in the detection routine, a deterministic edge detection algorithm called Slope Detection is highly sensitive. In particular, three key parameters play an important role in the number of detected defects and the number of false detections: the filter size, the intensity threshold and the minimum size of detected defects. The correlation between both detection outputs and the three sensitive parameters is quantified for one particular acquisition. The importance of each variable is also estimated using a random forest regressor. The uncertainty of the detection algorithms relies on the uncertainty of the camera calibration methods. Since not all calibration uncertainties are known, a series of acquired
Novel D-π-A organic dyes based on thieno[2,3-b]indole for efficient dye- sensitized solar cells: DFT and TD-DFT study

M. Hachi, A. Touimi Benjelloun, S. ElKhattabi , A. Fitri, M. Benzakour, M. Mcharfi 1 Equipe de Chimie Informatique et Modélisation, Laboratoire d’Ingénierie des Matériaux, de Modélisation et d’Environnement (LIMME), Faculté des Sciences Dhar El Mahraz, Université Sidi Mohammed Ben Abdellah, BP 1796 – 30000, Atlas – Fès, Fès. 2 Ecole Nationale des Sciences Appliquées, Université Sidi Mohammed Ben Abdellah, Fès.
Preoperative Evaluation in Descemet Membrane Endothelial Keratoplasty for Secondary Penetrating Keratoplasty Graft Failure

Background: Over the past decade, Penetrating Keratoplasty (PKP) graft failure has been increasingly managed by Descemet Membrane Endothelial Keratoplasty (DMEK). Our aim is to emphasis the importance of preoperative evaluation by Anterior-Segment Optical Coherence Tomography (AS-OCT) and present the clinical outcomes and surgical modifications of DMEK performed for Secondary PKP graft failure.Methods: A retrospective medical records review of patients that underwent DMEK for failed PKP at Hadassah Medical Center in 2018-2019. Collected data included demographic characteristics, PKP graft size measured by AS-OCT, corneal donor endothelial cell density (ECD), intra-operative surgical method adjustments, post-operative complications, visual acuity in Snellen (VA), central pachymetry and post-operative ECD.Results: Included were 16 patients (9 males) and 16 eyes. The study period was 18 months. Mean age at performing DMEK was 63 years. Before DMEK, mean VA and central pachymetry were 0.04 and 685µm, respectively. At last follow up, they significantly improved to 0.3 (p-value=0.001) and 542µm (p-value=0.008) respectively. Mean ECD for donor grafts was 2662 cells per mm2. Post-operative ECD was available only for 7 cases with a mean of 1391 cells per mm2 (p-value=0.0002). At last follow up, 93.75% of the grafts were attached. Graft failure rate was 6.25% due to late decompensation, graft detachment rate and rebubbling rate were 18.75% respectively. Conclusion: A suitable case-based pre-operative evaluation by AS-OCT may play a vital role in DMEK for failed PKP. No less important is to take into consideration multiple surgical adjustments. Both may further decrease complications rates along with accelerating visual recovery.
This is the peer reviewed version of the following article: Robertson, Cameron, Lucas, Robert A. and Le Gresley, Adam (2020) Scope and limitations of nuclear magnetic resonance techniques for characterisation and quantitation of vitamin D in complex mixtures. Skin

Background The accurate determination of vitamin D in skin is of considerable importance in evaluating penetration of skin health products through the different layers of the skin. Objective We report on the characterisation and quantitation of vitamin D in an idealised sample and in complex mixtures which mimic that of a typical skin cream, using qNMR, 2D NMR and DOSY techniques.
Hold On! Your Emotion and Behaviour when Falling for Fake News in Social Media

Researchers are concerned about the impact of fake news on democracy, while it could also escalate to life-threatening problems. Fake news continues to spread, so does people’s behaviour and emotions about fake news via social media. This opens up the back door for cyber-criminals to entice people (i.e. taking advantage of victims’ emotional and behavioural aspects) to click on fraudulent links (e.g. phishing links) associated with fake news when reading. Therefore, we investigate how people’s emotional and behavioural features influence reading and diffusing fake news on social media. We proposed a classification model incorporating people’s behavioural features and their emotions to better detect fake news in social media. Our results reveal that fake news has more negative emotions than legitimate ones and both title and the content of the news/posts are equally important. Furthermore, we have identified that there exist strong correlations between some of the behavioural and emotional features. Finally, we concluded that emotional and behavioural features are important for fake news classifications as they improve the accuracy of detecting fake news, and the findings of our study can ultimately be used to develop a risk score prediction model for fake news in social media.
An optimized 2bcgskew branch predictor

The hybrid skewed predictor 2bcgskew (Figure 1) was proposed in [4]. The Alpha EV8 branch predictor [3] was derived from this proposal. The original hybrid predictor 2bcgskew combines an e-gskew predictor [2] and a bimodal predictor. 2bcgskew consists of four 2-bit counters banks. Bank BIM is the bimodal predictor, but is also part of the e-gskew predictor. Banks G0 and G1 are two gshare-like predictors included in the e-gskew predictor. Bank Meta is the meta-predictor. Depending on Meta, the prediction is either the prediction coming out from BIM or the majority vote on the predictions coming out from G0, G1 and BIM. Optimizations were proposed for the design of the EV8 branch predictor [3]:
Analysis of Dielectric Response Measurements for Condition Assessment of Oil-Paper in Power Transformer Insulation

In this paper, the oil-paper insulation system of the power transformer is analyzed in the frequency domain. Different factors that influence the dielectric insulation of oilpaper, such as the temperature, moisture in cellulose, conductivity, and oil aging, are described. The analysis for the dielectric response is carried out by analyzing the dissipation factors and the complex capacitance through the Frequency Domain Spectroscopy (FDS) method. This tool analyzes the dielectric responses of the oil-paper insulation system, by measuring a series of dissipation factors at different frequencies, typically distributed over the range of 0.001 Hz to 1000 Hz. The result of the experiments shows that the temperatures, moisture in cellulose, conductivity, and oil aging have a significant influence, in the low-frequency range than in the high-frequency range.
Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms

The recent advancements in storage technologies have popularized the use of tiered storage systems in data-intensive compute clusters. The Hadoop Distributed File System (HDFS), for example, now supports storing data in memory, SSDs, and HDDs, while OctopusFS and hatS offer fine-grained storage tiering solutions. However, the task schedulers of big data platforms (such as Hadoop and Spark) will assign tasks to available resources only based on data locality information, and completely ignore the fact that local data is now stored on a variety of storage media with different performance characteristics. This paper presents Trident, a principled task scheduling approach that is designed to make optimal task assignment decisions based on both locality and storage tier information. Trident formulates task scheduling as a minimum cost maximum matching problem in a bipartite graph and uses a standard solver for finding the optimal solution. In addition, Trident utilizes two novel pruning algorithms for bounding the size of the graph, while still guaranteeing optimality. Trident is implemented in both Spark and Hadoop, and evaluated extensively using a realistic workload derived from Facebook traces as well as an industry-validated benchmark, demonstrating significant benefits in terms of application performance and cluster efficiency. PVLDB Reference Format: Herodotos Herodotou and Elena Kakoulli. Trident: Task Scheduling over Tiered Storage Systems in Big Data Platforms. PVLDB, 14(9): 1570-1582,
TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams

Microblogging sites, like Twitter, continuously generate a large volume of streaming data. This streaming environment creates new challenges for two concomitant Information Extraction tasks: Entity Mention Detection (EMD) and Entity Detection (ED). The new challenges include (1) continuously evolving topics, which may deprecate model-based approaches quickly; (2) non-literary nature of posts, which makes traditional NLP techniques less effective; and (3) huge volume of streaming data, which makes computationally expensive approaches less suitable. In this paper, we propose an approach for EMD/ED whose creation is guided by the constraints specific to streaming environments from the ground up. Our system TwiCS implements this approach. TwiCS employs a computationally light two-phase process. In the first phase, it exploits simple (low computation) syntactic cues to suggest Entity Mention (EM) candidates. In the second phase, it uses occurrence mining to classify candidates according to their likelihood of being true EMs. Our experiments show that TwiCS achieves an average effectiveness improvement of 14.6 percent, while maintaining at least 2.64 times higher throughput, when compared to several state-of-the-art systems.
The ESO-Spitzer Imaging extragalactic Survey ( ESIS ) I : WFI B , V , R deep observations of ELAIS-S 1 and comparison to Spitzer and GALEX data ⋆ ⋆ ⋆

Context. The ESO-Spitzer extragalactic Imaging Survey (ESIS) is the optical follow up of the Spitzer Wide-Area InfraRed Extragalactic (SWIRE) survey in the ELAIS-S1 area. Aims. The multiwavelength study of galaxy emission is the key to understand the interplay of the various components of galaxies and to trace their role in cosmic evolution. ESIS provides optical identification and colors of Spitzer IR galaxies and builds the bases for photometric redshift estimates. Methods. This paper presents B, V, R Wide Field Imager observations of the first 1.5 square degree of the ESIS survey. Data reduction is described including astrometric calibration, illumination and color corrections. Synthetic sources are simulated in scientific and super-sky-flat images, with the purpose of estimating completeness and photometric accuracy for the survey. Number counts and color distributions are compared to literature observational and theoretical data, including non-evolutionary, PLE, evolutionary and semi-analytic ΛCDM galaxy models, as well as Milky Way stellar predictions. The ELAIS-S1 area benefits from extensive follow-up from X-ray to radio frequencies: some potential uses of the multi-wavelength observations are illustrated. Results. Object coordinates are defined with an accuracy as good as ∼ 0.15 [arcsec] r.m.s. with respect to GSC 2.2; flux uncertainties are ∼2, 10, 20% at mag. 20, 23, 24 respectively (Vega); we reach 95% completeness at B,V∼25 and R∼24.5. ESIS galaxy number counts are in good agreement with previous works and are best reproduced by evolutionary and hierarchical ΛCDM scenarios. Optical-Spitzer color-color plots promise to be very powerful tools to disentangle different classes of sources (e.g. AGNs, starbursts, quiescent galaxies). Ultraviolet GALEX data are matched to optical and Spitzer samples, leading to a discussion of galaxy properties in the UV-to-24 μm color space. The spectral energy distribution of a few objects, from the X-rays to the far-IR are presented as examples of the multi-wavelength study of galaxy emission components in different spectral domains.
Titania films deposited by thermal evaporation as humidity sensor

The humidity sensors based on optical methods are best sui ted fo r those si tu ati ons where remote anal ysi~ capability, hi gh sensitivity and compactness of the device are the criteria for the measurement of humidity levels. The sensing element of optical humidity sensors consi sts of a rutil e structured Ti02 thin tllm deposit ed on th e base of an isosceles glass prism. Such a Ti02 film is porous and highly sensitive to humidity. Li ght from He-Ne laser source enters th e prism from one of the isosceles faces of th e pri sm, and then gets reflected from the glass tllm interface, before emergin g out from the other isosceles face of th e prism. The emergent beam is collected through an optical fiber , which is connected to an opti cal power meter for measurement. Vari ations in th e intensity of li ght caused by changes in humidity lying in the range 5-95% have been record ed.
Coattention, Dynamic Pointing Decoders & QANet for Question Answering

The task of question answering (QA) requires language comprehension and modeling complex interaction between the context and the query [1]. Recurrent models primarily use recurrent neural networks (RNNs) to process sequential inputs, and attention component to cope with long term interactions [2]. However, recurrent QA models have two main weaknesses. First, due to the single-pass nature of the decoder step, models have issues recovering from incorrect local maxima. Second, due to the sequential nature of RNNs these models are often too slow for both training and inference. To address the first problem, we implemented a model based on Dynamic Coatention Network (DCN) that incorporates a dynamic decoder that iteratively predicts the answer span [3]. To improve the model efficiency, we also implemented a transformer based recurrency-free model (QANet), which consists of a stack of encoder blocks including self-attention and convolutional layers. On the Stanford Question Answering Dataset (SQuAD 2.0), our best QANet based model achieved 68.76 F1 score and 65.081 Exact Match (EM) on the dev set and 66.00 F1 and 62.67 EM on the test set.
Bacterial Adhesion Capacity of Uropathogenic Escherichia coli to Polyelectrolyte Multilayer Coated Urinary Catheter Surface

The application of catheters to the urinary tract is associated with nosocomial infections. Such infections are one of the most common types of infections in hospitals and health care facilities and can lead to numerous medical complications. Therefore, the understanding of the properties of urinary catheter surfaces and their potential modifications are crucial in order to reduce bacterial adhesion and subsequent biofilm formation. In our study, we consider standard polyvinyl chloride (PVC) catheter surfaces and compare their properties with the properties of the same surfaces coated with poly(diallyldimethylammonium chloride)/poly(sodium 4-styrenesulfonate) (PDADMA/PSS) polyelectrolyte multilayers. Uncoated and coated surfaces were characterized by means of roughness, hydrophobicity, and zeta potential measurements. Finally, bacterial adhesion extent of uropathogenic Escherichia coli on bare and polyelectrolyte multilayer coated surfaces was measured. The obtained results show that on non-treated surfaces, biofilm is formed which was not the case for multilayer coated surfaces. The PSS-terminated multilayer shows the lowest bacterial adhesion and could be helpful in prevention of biofilm formation. The analysis of the properties of the uncoated and coated surfaces reveals that the most significant difference is related to the charge (i.e., zeta potential) of the examined surfaces, while roughness and hydrophobicity of the examined surfaces are similar. Therefore, it could be concluded that the surface charge plays the crucial role in the bacterial adhesion on uncoated and coated PVC catheter surfaces.
Attitudes of intellectual disabled children's teachers towards E-learning during Corona pandemic

The aim of this study was to investigate the attitudes of intellectual disabled children 's teachers towards E-learning during Corona pandemic. The descriptive and analytical method was used. Teachers from the primary stage in special education were selected for data collection. An online questionnaire was used to collect data from the target teachers. Data were collected via an online questionnaire survey. e-learning during the outbreak of the Covid 19 pandemic provides flexibility in Lesson planning, implementation and evaluation.
ShenLing BaiZhu San alleviates Ulcerative Colitis in Rats by Regulating Gut Microbiota

Background: Recent studies have suggested that Shenling Baizhu San (SLBZS), an complementary and alternative medical therapy for ulcerative colitis (UC), alleviate clinic symptoms by the improvement of biochemical criteria and restoration of the intestinal barrier function. SLBZS as a famous Chinese herbal formula has been reportedly used to treat UC, of which mechanism is unknown. This study investigated the therapeutic effects of SLBZS on restoring the gut microbiota in a UC rat model. Methods: We proposed a 2,4,6-trinitrobenzene sulfonic acid (TNBS)-induced UC rat model to monitor the structural modulation of the gut microbiota. The test period was 10 days (observation for two days after modeling, treatment for 8 days by SLBZS). In this study, the level of inflammatory cytokines and activity of antioxidant enzymes in serum were ascertained by enzyme-linked immunosorbent assay (ELISA) and histological changes of colon were observed. Feces were collected for high-throughput sequencing of 16S rRNA gene. Results: SLBZS partly reduced the diversity of the gut microbiota, while the abundance of that is increased. Furthermore, at the genus level, the relative abundance of short chain fatty acids (SCFA) producing bacteria including Prevotella and Oscillospira increased, while the relative abundance of harmful bacteria including Desulfovibrio, and Bilophila decreased. Additionally, SLBZS could improve the lesions of colon and significantly reduce the expression of Interleukin-6 (IL-6) and Myeloperoxidase (MPO) and increase the activities of Superoxide dismutase (SOD) and Catalase (CAT) in rats serum. Conclusions: These results demonstrate that SLBZS may treat UC effectively by inhibiting inflammation, enhancing antioxidant capacity and regulating gut microbiota.
Analytical, Numerical and Experimental Study of an Enhanced Nonlinear Energy Sink

Based on theoretical and experimental investigations, this paper proposes a nonlinear energy sink (NES) with piecewise linear springs to enhance vibration suppression effects. A cubic nonlinear oscillator is coupled with a piecewise linear spring to form an enhanced NES (E-NES). Without adding a new resonance region and changing the resonance frequency of the primary system, the enhanced NES can achieve better vibration suppression effects. Based on the free vibration and the forced vibration, the influence of piecewise linear stiffness on the vibration suppression is profoundly examined. The results show that the E-NES has a better suppression effect on the vibration of the primary structure than that of the cubic NES in most cases. Furthermore, the piecewise stiffnesses and gap displacements are optimized through the differential evolution algorithm. The best damping effect of the E-NES on the free vibration is presented. However, it also happens that the vibration suppression effect of the E-NES is weaker than that of the conventional NES. Moreover, the experimental results verify the analytical and numerical results. The vibration elimination efficiency of the E-NES exceeds 90%. Therefore, this research on using piecewise springs to enhance the vibration suppression efficiency will attract attention.