Miracle-dz/UniFAR-FTUs huggingface dataset:
Resveratrol Inhibits Proliferation in HBL-52 Meningioma Cells

Objective: To investigate the effects of resveratrol on apoptosis and proliferation in meningioma cells and characterize the underlying molecular mechanism. Methods: HBL-52 meningioma cells were treated with resveratrol at doses of 10, 50, 100, 200, and 400 μ M for 24, 36, and 48 hrs. Inhibition of proliferation was measured by CCK8 assay, and apoptosis was determined by annexin V staining and ﬂ ow cytometry. Expression of apoptosis-associated proteins (cleaved-caspase-3, pro-caspase-3) and Bcl-2 were measured by Western blot. Levels of miR-34a-3p and Bcl-2 mRNA were analyzed by reverse transcriptase PCR. A dual luciferase assay was used to determine whether miR-34a-3p binds to the 3 ʹ UTR of Bcl-2. Results: Resveratrol reduces proliferation and increases apoptosis in HBL-52 cells. These effects increase with increasing resveratrol concentration and exposure time. Resveratrol increases levels of cleaved-caspase 3 protein as well as decreases levels of pro-caspase 3 protein and Bcl-2 mRNA. The 3 ʹ UTR of Bcl-2 contains putative binding sites for miR-34a-3p, and these binding sites can regulate the expression of a luciferase reporter. Overexpression of miR-34a-3p reduces Bcl-2 protein levels in HBL-52 cells. Conclusion: Resveratrol suppresses proliferation and induces apoptosis in meningioma cells by upregulating miR-34a-3p, which in turn downregulates Bcl-2. Resveratrol may be a useful drug for treating meningiomas.
Understanding Digital Ethnography: Socio-computational Analysis of Trending YouTube Videos

— The online video sharing website - YouTube, which was launched in February 2005 to help people share videos of well-known events, has rapidly grown to be a cultural phenomenon for its massive user-base. According to Alexa, the web traffic monitoring tool by Amazon, YouTube is the second most popular website globally. Still there is a lack of systematic research - both qualitative as well as quantitative - focusing on the video-based social networking site as compared to other social media sites. Video comments serve as a potentially interesting data source to mine implicit knowledge about users, videos, categories, and community’s interests. In this research, we studied top 200 YouTube videos trending daily for a 40-day period separately in the United States of America (USA) and the Great Britain (GB) regions. We collected data for 7,998 videos trending in the USA throughout the 40-day time period and 7,995 videos trending in the GB regions. We studied content engagement behavior of users in the USA and GB regions by analyzing views, likes, dislikes, and comments on the set of trending videos. The study helped us glean some of the digital ethnographic behaviors of the users in these two regions. This paper presents highlights of the similarities and differences observed in such behaviors between the USA and GB regions.
PCR METHOD FOR DETECTION OF mecA GENE IN METHICILLIN-RESISTANCE Staphylococcus aureus (MRSA) STRAINS ISOLATED FROM MILK AND MILKING SURROUNDING ENVIRONMENT

37.5%, respectively. The statistical analysis results proved a significant correlation among the isolated strains in the milking surrounding environments of both dairy cows and buffalos; in which, a significant correlation between milk samples and also between soil and water in the cows’ environment. With attention to the buffalos’ environment, a significant correlation was found between clinically normal milk and both of air and water; also, a significant correlation among air, soil and water was noticed. According to the obtained results, the role of some ecological parameters on the distribution of mecA -positive MRSA strains was observed as a significant correlation between muddy floor and both types of rearing, and also between dry floor and mixed rearing in the milking surrounding environments of both dairy cows and buffalos.
Face Detection and Its Relationship with Visual Contrast Detection in Schizophrenia

Face perception is impaired in schizophrenia. While a socially and ecologically important function, face perception receives inputs from visual processing, a more basic perceptual function also impaired in schizophrenia. How basic visual processing impairment contributes to face perception impairment is not well understood. In this study we examined face detection, an early stage of face perception, as a function of visual contrast in schizophrenia. We also examined visual contrast detection, a basic visual process. For face detection, subjects indentified the location (left or right) of a face imbedded in a larger image. For contrast detection, subjects indentified the location (left or right) of a low-contrast grating within a uniform luminance background. To vary task difficulty, the contrast level of the images used for both tasks was systematically manipulated. Performance of patients (n=27) and controls (n=20) were acquired and compared. Performance accuracies of patients were significantly lower than those of controls for face detection ( p =.039) but not contrast detection. In patients, performance accuracies were significantly correlated between face detection and contrast detection (r=0.70). Patients’ face detection performance was moderately correlated with PANSS negative subscale scores (r=-0.42). This pattern of results suggests the contributions of basic visual signal to impaired face processing in schizophrenia. These results also suggest a potential association of face perception impairment with negative psychotic symptom status.
Real-time Detection System of Driver’s Distraction using Machine Learning

— There is an accumulating evidence that driver’s distraction is a leading cause of vehicle crashes and incidents. In particular, it has become an important and growing safety concern with the increasing use of the so-called In-Vehicle Information Systems (IVIS) and Partially Autonomous Driving Assistance Systems (PADAS). Thereby, the detection of the driver status is of paramount importance, in order to adapt IVIS and PADAS accordingly, so avoiding or mitigating their possible negative effects. The purpose of this paper is to illustrate a method for the non-intrusive and real-time detection of visual distraction, based on vehicle dynamics data and without using the eye-tracker data as inputs to classifiers. Specifically, we present and compare different models, based on well-known Machine Learning methods. Data for training the models were collected using a static driving simulator, with real human subjects performing a specific secondary task (SURT) while driving. Different training methods, model characteristics and feature selection criteria have been compared. Based on our results, SVM has outperformed all the other ML methods, providing the highest classification rate for most of the subjects. Potential applications of this research include the design of adaptive IVIS and of “smarter” PADAS.
On the effect of separated oxygen and carbon dioxide injections on the stabilisation of diluted oxyfuel flames

Oxyfuel combustion with exhaust gas recycle coupled with CO 2 capture and storage (CCS) is a promising way to meet low CO 2 emission standards in industrial facilities with limited economical impact. In such systems, the flame stability is very sensitive to the dilution by injection of exhaust gases, particularly in configurations where they are not premixed with the oxygen, making the design of the burners more complex but offering a larger operation flexibility and a better control of flame heat transfer. In order to study the strategies of injection of the oxygen and exhaust gases, this paper presents an experimental study of the aerodynamic mechanisms influencing the stabilization of CO 2 -diluted oxy-fuel flames, for four different configurations of 23 kW quadri-coaxial burners with separated injections for oxygen and carbon dioxide. The four burners have same axisymmetric geometry consisting in injections of methane in the center surrounded successively by a first oxygen (O 2i ) inner annular jet, the CO 2 co-flow and a second oxygen (O 2e ) outer annular jet. Dimensions of burners are chosen to keep constant CH 4 and O 2i injections and to be able to change independently CO 2 and O 2e velocities for constant thermal power, total equivalence ratio, oxygen repartition and dilution ratio. The interaction between combustion and the aerodynamic features is investigated by CH* chemiluminescence imaging and Particle Image Velocimetry (PIV). Mean tomographic images of the flame structure are obtained by Abel's inversion of averaged chemiluminescence images. PIV measurements are performed for two fields of view in order to obtain the global aerodynamic features of the turbulent oxyfuel flames and a more precise characterization in the vicinity of the burner exit. For the latter, the spatial resolution of the measurements is optimized by the development of a specific multi-step PIV processing. Low flow-velocity and high flow-velocity configurations are tested at maximum CO 2 dilution allowed by the burners. Different structures of flames are obtained with a long continuous annular shape or with local extinction for some operating conditions. The intensity of the mixing processes and the resulting stability of the flame depend largely on the shear constraints between CO 2 and O 2e jets. A better stabilization is found for low CO 2 velocity, which favors its mixing with outer oxygen annular jet prior to direct dilution of the flame. An increase of O 2e velocity further improves centrifugal entrainment of CO 2 and then reduces the radial stratification around the flame. These results obtained in a reference configuration are useful guides for the design of flexible and efficient oxy-fuel industrial burners for CCS units.
Genome-wide identi cation and functional characterization of Camelina sativa WRKY gene family in response to abiotic stress

Yanan Song Shanxi Agricultural University Hongli Cui Shanxi Agricultural University Ying Shi Shanxi Agricultural University Jinai Xue Shanxi Agricultural University Chunli Ji Shanxi Agricultural University Chunhui Zhang Shanxi Agricultural University Lixia Yuan jin zhong xue yuan: Jinzhong University Runzhi Li (  rli2001@126.com ) Shanxi Agricultural University https://orcid.org/0000-0002-9933-5024
Light Weight Multi User Profile Inference Model for Efficient Public Auditing and Shared Data Management in Cloud Environment

: A light weight user profile inference model has been proposed in this paper to improve the efficiency of public auditing and data management in cloud environment. The method maintains multi user profiles which has information about the rights provided. The cloud service provider publish resources by performing block based encryption technique. The registered user will be given with the key parameters and the data owner specifies profile users who can access and modify the original data. Upon requesting any resource, the light weight multi user profile inference model performs the inference and verifies the user rights in updating the original data. The modification will be performed only if the inference model returns a positive result to the verification process. The method performs block based encryption and the data management is performed in sequential manner. The modification of any block upon successful verification will be performed based on the result of inference model. The shared data can be updated by different users but the level of access is restricted by the profile based approach. The proposed method improves the performance of public auditing and data management.
Granuloma in the Lung a Mycobacterial Infection-Induced Essential Role of IL-17A in the Formation of

Granulomas play an essential role in the sequestration and killing of mycobacteria in the lung; however, the mechanisms of their development and maturation are still not clearly understood. IL-17A is involved in mature granuloma formation in the mycobacteria-infected lung. Therefore, IL-17A gene-knockout (KO) mice fail to develop mature granulomas in the Mycobacterium bovis bacille Calmette-Gue´rin (BCG)-infected lung. This study analyzed the mechanism of IL-17A–dependent mature granuloma formation in the mycobacteria-infected lung. The IL-17A KO mice showed a normal level of nascent granuloma formation on day 14 but failed to develop mature granulomas on day 28 after the BCG infection in the lung. The observation implies that IL-17A is required for the maturation of granuloma from the nascent to mature stage. TCR gd T cells expressing TCR V g 4 or V g 6 were identiﬁed as the major IL-17A–producing cells that resided in the BCG-induced lung granuloma. The adoptive transfer of the IL-17A–producing TCR gd T cells reconstituted granuloma formation in the IL-17A KO mice. The expression of ICAM-1 and LFA-1, which are adhesion molecules important in granuloma formation, decreased in the lung of the BCG-infected IL-17A KO mice, and their expression was induced on BCG-infected macrophages in coculture with IL-17A–producing TCR gd T cells. Furthermore, IL-17A KO mice showed not only an impaired mature granuloma formation, but also an impaired
Directed Graph Networks for Logical Entailment

We introduce a novel neural model for detecting propositional entailment, a benchmark task for learning on logical structures, based upon learned graph convolutions on directed syntax graphs. The model removes some inﬂexible inductive bias found in previous work on this domain, while producing competitive results on the benchmark datasets. Model performance on larger problems surpasses all previous work. We also introduce a similar ﬁrst-order learning problem and show good performance of the same model on this task. Such models have many applications for learned guidance of ﬁrst-order theorem provers.
Knowledge and Attitude of Pregnant Women Undergoing Cell-free DNA Screening at the King Chulalongkorn Memorial Hospital

Objectives: To investigate the knowledge and attitude of pregnant women before undergoing cell-free DNA screening at King Chulalongkorn Memorial Hospital (KCMH). Materials and Methods: A cross-sectional study recruited 400 singleton pregnant women who underwent cell-free DNA screening at KCMH from December 2016 to August 2017. Self-administered questionnaires were used to evaluate participants’ knowledge and attitude. Results: Four-hundred pregnant women answered the questionnaires and 344 responses were considered valid. The maternal age ranged from 23 to 46 years and mean age was 34.8 ± 3.6 years. Almost all of the participants answered correctly about the test’s ability to detect trisomy 21, trisomy 18, trisomy 13, and fetal sex (96.8, 83.7, 84.8, and 93.9% respectively). Eighty-nine percent of the women answered correctly about the time to start cell-free DNA testing, and 68% answered correctly about detection rate of trisomy 21. Some participants had misconceptions about the test’s ability such as false negative rate, thalassemia screening, fetal malignancy detection, autistic detection, cleft lip-cleft palate detection, and the option of termination of pregnancy if the screening was positive. Seventy-nine percent were aware of the possibility of re-sampling. Additional data showed that participants had positive attitude towards cell-free DNA screening, and preferred to use it again for future pregnancy. Conclusion: Our study showed that the majority of the participants had good knowledge of the test’s ability to detect trisomy, and a possibility of re-sampling. However, almost half of the participants misunderstood that it could detect all genetic abnormalities. This study showed the magnitude of expectations and misunderstandings about cell-free DNA screening.
A Study on Pedestrian’s Profile, Activity, and Environment by Descriptive Analysis of Questionnaire Datasets in Kitakyushu, Japan

Various attributes addressing the issues on walking environment and walking condition possibly has distracted the efforts of creating better planning and development to promote walking to the citizen. It will take an enormous effort and time for them to consider all the attributes that are available. Therefore authors assessed the possibilities of the utilization of the Pedestrian PL.AC. E. (ProfiLe, ACtivity, and Environment) and its key-attributes using a survey questionnaire in order to confirm that it could be used as the framework for urban planning or assessment toward promoting a walking-friendly environment. The questionnaire was distributed to the case study area which was the Yahatanishi ward in the city of Kitakyushu, Japan. After collecting and documenting all responses, the results were analyzed using descriptive type of statistical analysis with SPSS.
Go with the Flow Normalizing Flow applications for High Energy Physics

Deep Learning is becoming a standard tool across science and industry to optimally solve a variety of tasks. A challenge of great importance for the research program carried over at the Large Hadron Collider is realising a generative model to sample synthetic data from a desired probability density. While generative models such as Generative Adversarial Networks and Normalizing Flows have been originally designed to solve Machine Learning tasks such as classification and data generation, we illustrate how they can also be employed to statistically invert Monte Carlo simulations of detector effects. In particular, we show how conditional Generative Adversarial Networks and Normalizing Flows are capable of unfolding detector effects, using ZW production at the LHC as a benchmarking process. Two technical by-products of interest stemming from these studies are the introduction of a Bayesian Normalizing Flow and of the Latent Space Refinement (LaSeR) protocol. The former has been introduced in order to address the crucial question of explainability and uncertainty estimation of deep generative models, which is achieved by reformulating the training and prediction phases of Normalizing Flows as a Bayesian inference task. Finally, LaSeR is a method to refine a model’s output using classifier weights. We show how LaSeR can critically improve the performances of a Normalizing Flow whenever the training data contains topological obstructions.
Recognition of Hand movements to move cursor

— This paper presents a new approach for recognition of Hand Movements. Humans and computers have interacted primarily through devices that are constrained by wires. Typically, the wires limit the range of movement and inhibit freedom of orientation. In addition, most interactions are indirect. The user moves a device as an analogue for the action in the display space. We envision an untethered interface that accepts gestures directly and can accept any objects the user chooses for interaction. This approach is used for controlling cursor movement using a real-time camera it will remove hardware dependencies like mouse. Our method is to use a camera and computer vision technology, such as image segmentation and gesture recognition, to control mouse tasks (left and right clicking, double-clicking, and scrolling) and we show how it can perform everything current mouse devices can. This paper shows how to build this mouse control system.
Program for Minority Girls (Research to Practice-Diversity)

Henriette is a STEM Fellow at Southern Illinois University Edwardsville. She has worked at Johnson & Johnson, Abbott Labs, Baxter Labs, Tenneco, Monsanto, Frucon Construction, SC Johnson Wax and HP as a design engineer, a manufacturing engineer and a project manager. She holds an engineering degree from Northwestern University, an MBA from University of Oregon, a MiT and a Ph.D. in Math/Science Education from Washington State University. Henriette’s research agenda is unveiling and understanding the identity of non-typical STEM bound students, especially girls in engineering; through interest and belongingness by promoting empathy-based engineering design in instruction and practice.
NONEXISTENCE OF GLOBAL SOLUTIONS AND BIFURCATION ANALYSIS FOR A BOUNDARY-VALUE PROBLEM OF PARABOLIC TYPE

The aim of this paper is to present a bifurcation analysis on the existence of the nonexistence of a global solution for a semilinear parabolic equation and to characterize the local stability and the instability of the corresponding steady-state solutions. The bifurcation result can be described either by a parameter X for a fixed spatial domain Ü or by varying Í2 for a fixed A. The stability analysis gives a result which can be used to determine the stability or instability problem when the system possesses nonintersecting multiple steady-state solutions.
Protein 3D analysis by mass spectrometry Technologies for Probing the Three-Dimensional World of 3 Plant Proteins

Over the past two decades, mass spectrometric (MS) based proteomics technologies have facilitated the study of signaling pathways throughout biology. Nowhere is 20 this needed more than in plants, where an evolutionary history of genome duplications has 21 resulted in large gene families involved in posttranslational modifications and regulatory 22 pathways. For example, at least 5% of the Arabidopsis thaliana (A. thaliana ) genome (ca. 23 1200 genes) encodes protein kinases and protein phosphatases that regulate nearly all 24 aspects of plant growth and development. MS based technologies that quantify covalent 25 changes in the side chain of amino acids are critically important, but they only address one 26 piece of the puzzle. A more crucially important mechanistic question is how noncovalent 27 interactions – which are more difficult to study – dynamically regulate the proteome's three- 28 dimensional (3D) structure. The advent of improvements in protein 3D technologies such as 29 cryo-EM, NMR, and X-ray crystallography has labeling (CL) and crosslinking (XL) mass spectrometric-based methods are 576 developed and improved to analyze the three-dimensional structure of proteins in 577  These methods require less protein and can be performed with impure protein two 578 disadvantages that plague traditional methods like cryoEM, X Ray crystallography,
On Arnold ’ s 14 ‘ exceptional ’ N = 2 superconformal gauge theories

We study the four–dimensional superconformal N = 2 gauge theories engineered by the Type IIB superstring on Arnold’s 14 exceptional unimodal singularities (a.k.a. Arnold’s strange duality list), thus extending the methods of arXiv:1006.3435 to singularities which are not the direct sum of minimal ones. In particular, we compute their BPS spectra in several ‘strongly coupled’ chambers. From the TBA side, we construct ten new periodic Y –systems, providing additional evidence for the existence of a periodic Y –system for each isolated quasi– homogeneous singularity with ĉ < 2 (more generally, for each N = 2 superconformal theory with a finite BPS chamber whose chiral primaries have dimensions of the form N/l). July, 2011 e-mail: cecotti@sissa.it e-mail: eledelz@gmail.com