Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Induced Bacteria Cell on the Strength Properties of Concrete

In the recent years, Microbiologically Induced Calcium Carbonate Precipitation (MICCP) by the bacteria is considered as an environment friendly method to enhance the properties of concrete, as well as to repair the cracking of concrete structure. This work deals with the novel technique of self-healing of cracks in concrete by the microbial induced calcite precipitation in concrete by the bacteria Bacillus subtilis. Bacillus subtilis is added to the mixing water in the making of concrete in the concentration of 106 cell/ml. During the crack formation through shrinkage process, these bacteria get activated due to its exposure to the air and water. The bacteria start taking its food from calcium lactate and reacting with cement particles then emits CaCO3 by the process of Bio calcification. Two groups of concrete specimens (cube, cylinder, and beams) have been prepared in the laboratory; the first group was the control mix, while the second group was the bacterial concrete mix. Specimens have been tested for strength properties determination (compressive, indirect tensile, and flexural). Test results were compared with those of control mix. It was concluded that implementation of induced bacteria cell into the mixing water of concrete exhibit positive impact on the strength properties of concrete.
Evaluation of Humoral Immune Response in sheep vaccinated with Montanide Gel Adjuvated Rift Valley Fever Vaccine

In this work, three different concentrations of Montanide gel adjuvanted RVF vaccine were prepared, the first contains 10%, the 2nd contains 15% while the 3rd contains 20% Montanide gel, in addition to the aluminium hydroxide gel RVF vaccine to compare. There were no body temperature elevation or any other signs after vaccination in all vaccinated sheep. The humeral immunity in vaccinated sheep was evaluated by using serum neutralization test (SNT) and enzyme linked immunosorbant assay (ELISA), the immunity was detected in groups 2, 3, 4 vaccinated with different concentrations of montanide gel via serum neutralization test from 1 st week with values of (1.7, 1.8 and 2) respectively and stayed protective till the 6 months in Group 2, 8 months in Group 3 and 10 months in Group 4 with values of (1.7, 1.8 and 1.8) respectively. These results was correlated to that obtained by ELISA, also the immunity was detected from 1 st week in groups 2, 3,4 with values of (0.245, 0.250 and 0.252) respectively and stayed protective till 6 th month in Group 2, 8 th month in Group 3 and 10 th month in Group 4 with values of (0.230, 0.239 and 0.239) respectively. These results revealed that the best vaccine is 20% Montanide gel inactivated RVF vaccine which gave higher level of antibody all over the period of the test compared with that of other vaccinated groups.
BIVIB: A MULTIMODAL PIANO SAMPLE LIBRARY OF BINAURAL SOUNDS AND KEYBOARD VIBRATIONS

An extensive piano sample library consisting of binaural sounds and keyboard vibration signals is made available through an open-access data repository. Samples were acquired with high-quality audio and vibration measurement equipment on two Yamaha Disklavier pianos (one grand and one upright model) by means of computer-controlled playback of each key at ten different MIDI velocity values. The nominal speciﬁcations of the equipment used in the acquisition chain are reported in a companion document, allowing researchers to calculate physical quantities (e.g., acoustic pressure, vibration acceleration) from the recordings. Also, project ﬁles are provided for straightforward playback in a free software sampler available for Windows and Mac OS systems. The library is especially suited for acoustic and vibration research on the piano, as well as for research on multimodal interaction with musical instruments.
HYBRID ADAPTIVE NOTCH FILTER AND FIXED-STRUCTURE PID H ∞ ROBUST LOOP SHAPING CONTROL BASED PSO FOR HARD DISK DRIVE SERVO ACTUATOR

In order to achieve the high precision head-positioning of the voice coil motor (VCM) actuator with narrow track pitch, the adaptive notch filter based limited-searchrange of particle swarm optimization (PSO), as well as the fixed-structure propor-tionalintegral-derivative H∞ robust loop shaping controller using the concept of four closed loop disturbance norms is proposed. Generally the conventional method, fixed-frequency notch filter (FFNF), is combined with the nominal plant to reduce the effect of the mechanical vibration resonance; however, the resonance mode of servo system can be shifted with various factors such as the ambient temperature change, and the unbalanced disk. In addition, mathematical solving in the H∞ robust control problems and the suitable notch filter design are very complex and the final results of the conventional controller with notch filters are normally complicated structure and high order which is difficult to implement. Thus, the adding of intelligent system in the proposed design with the careful range of the search space is utilized to suppress the vibration caused by resonance mode shifting and also reduce the order of the final robust controller. Simulation results of six scenarios test demonstrate the effectiveness of the proposed design compared with FFNF in the commercial product.
Attribute Similarity and Mutual-Saliency Weighting for Registration and Label Fusion

Multi-atlas segmentation relies on two major components: image registration to propagate segmentation labels, and label fusion to combine multiple labels into one at each voxel. In this paper, we propose to drive both components by an attribute-based similarity metric and a mutual-saliency-based reliability metric. The fundamental idea is to improve registration and label fusion by looking for corresponding voxels that are similar (as measured by their Gabor attributes), and more importantly, reliably similar (as measured by the mutual-saliency of their matching) between atlas and target images. We apply this pipeline to segment 140 structures in brain MRI of 15 training subjects and 20 testing subjects in MICCAI Challenge 2012.
2 Exploiting the Dr . Inventor Framework to Mine Scientific Publications

During the last decade the amount of scientific articles available online has substantially grown in parallel with the adoption of the Open Access publishing model. Nowadays researchers, as well as any other interested actor, are often overwhelmed by the enormous and continuously growing amount of publications to consider in order to perform any complete and careful assessment of scientific literature. As a consequence, new methodologies and automated tools to ease the extraction, semantic representation and browsing of information from papers are necessary. We propose a platform to automatically extract, enrich and characterize several structural and semantic aspects of scientific publications, representing them as RDF datasets. We analyze papers by relying on the scientific Text Mining Framework developed in the context of the European Project Dr. Inventor. We evaluate how the Framework supports two core scientific text analysis tasks: rhetorical sentence classification and extractive text summarization. To ease the exploration of the distinct facets of scientific knowledge extracted by our platform, we present a set of tailored Web visualizations. We provide on-line access to both the RDF datasets and the Web visualizations generated by mining the papers of the 2015 ACL-IJCNLP Conference.
Acquisition method improvement for Bossa Nova Technologies ' full Stokes , passive polarization imaging camera SALSA

For some applications, the need for fast polarization acquisition is essential (if the scene observed is moving or changing quickly). In this paper, we present a new acquisition method for Bossa Nova Technologies’ full Stokes passive polarization imaging camera, the SALSA. This polarization imaging camera is based on “Division of Time polarimetry” architecture. The use of this technique presents the advantage of preserving the full resolution of the image observed all the while reducing the speed acquisition time. The goal of this new acquisition method is to overcome the limitations associated with Division of Time acquisition technique as well as to obtain high-speed polarization imaging while maintaining the image resolution. The efficiency of this new method is demonstrated in this paper through different experiments.
Experimental investigation of stability limits and upstream flame propagation in a lean premixed, swirled annular slot burner

Lean premixed combustion offers the potential for low NOx-emissions. In practical realizations, swirling premixed flames are usually stabilized by internal recirculation zones induced by vortex breakdown occurring when a critical geometry-dependent swirl number is exceeded. The development of precessing vortex cores (PVC) often precedes the vortex breakdown. The interaction between the flame and the turbulent flow field can enable the flame to propagate upstream into the nozzle causing serious problems. This phenomenon is known as flashback and must be avoided. Occurring as different types flashback is a complex phenomenon not yet fully understood. Flashback by combustion induced vortex breakdown (CIVB), relevant for the flashback phenomenon observed in this study, is associated with a density jump due to combustion induced heat release [1]. Occasionally, negative axial velocities located ahead of the vortex breakdown region occur and push the flame upstream. The aim of the present investigation was to study turbulent premixed flames during flashback. For this purpose an unconfined, swirling, lean premixed methane/air flame was selected. The focus was on stability limits and upstream propagation of the flame to gain an improved understanding of the underlying mechanisms. Therefore, three cinematographic high speed measurement techniques up to 20kHz data rate were applied simultaneously inside the exit nozzle of the burner: planar laser-induced fluorescence of hydroxyl radicals (OH-PLIF), 2D particle image velocimetry (PIV) and chemiluminescence imaging (CL). These diagnostics give insights into the upstream propagation of the flame inside the burner’s exit nozzle. The findings have led to the formulation of a ’propagation prototype’ which is presented and discussed in this work.
Looking for chaos in copper historical prices

Knowing the inherent characteristics of a price time series is the preface of forecasting future prices. This study tries to use chaos theory to investigate the behavior of copper prices. Keeping the mathematical definition of chaos as a standard frame, the known chaos tests were applied based on a discipline. The Lyapunov exponent and the BDS test (Brock, Deckert, Scheinkman, 1986) approved the evidence of nonlinear behavior and possible evidence of chaos for the gathered data. However, the close returns test, as a direct test of chaos, rejected the presence of chaos in copper return series. Finally, a GARCH (generalized autoregressive conditional heteroskedasticity) type model was fitted on the series under study to capture this nonlinearity. The BDS test results indicated that there was no longer any nonlinearity in the filtered data. It was concluded that the stochastic methods should be applied to predict future copper prices.
Sparse Point Cloud Densification by Using Redundant Semantic Information ∗

This paper presents a novel method for dense 3D reconstruction of man-made environments. Such environments suffer from textureless and non-Lambertian surfaces, where conventional, feature-based 3D reconstruction pipelines fail to obtain good feature matches. To compensate this lack of feature matches, we exploit the semantic information available in 2D images to estimate both a corresponding 3D position and a 3D surface normal for each pixel. A semantic classifier is therefore applied on a single segmented image in order to get a likelihood for a segment providing one of the surface normals within a discrete set of them. To improve the accuracy of this labeling step, we exploit multiple segmentation methods. The global best surface normal configuration over all pixels of an image is then obtained by using a Markov Random Field. In the last step, the 3D model of a single 2D input image is reconstructed by combining the semantic surface normal estimation with the sparse point cloud coming from feature based matching. It is shown experimentally, that our proposed method clearly outperforms state-of-the-art dense 3D reconstruction pipelines and surface layout estimation approaches.
The Effect of Codend Circumference on Selectivity of Hand-Woven Slack Knotted Codend in the North Eastern Mediterranean Demersal Trawl Fishery

Poor selectivity and high discard rate of hand-woven slack knotted codend is a serious problem for north eastern Mediterranean demersal fish stocks. This study investigates the effect of codend circumference on bottom trawl selectivity for red mullet (Mullus barbatus), bogue (Boops boops), goldband goatfish (Upeneus moluccensis), Randall's threadfin bream (Nemipterus randalli) and picarel (Spicara smaris). A total of 18 valid hauls were conducted using covered codend method between 08 October and 26 December 2012 in Mersin Bay. Results show that selectivity of commercially used standard codend (300 meshes around its circumference) is rather poor and the narrow codend (150 meshes around its circumference) significantly increases selectivity for tested species. However, it is not selective enough to avoid the individuals of five commercial species under the MLS or FMS.
Combination of Two Measurement Techniques to Expand the Measurements Frequency Range of the Dielectric Permittivity

Usually, knowledge of dielectric properties of material, as a function of frequency, represents a key issue in scientific fields and several industrial applications. At LNE-CETIAT, in partnership with Institut Fresnel UMR 72792, a set of capacitive and coaxial cells, dedicated to the measurement of complex dielectric permittivity, have been developed. The present paper focuses on the experimental calibration and validation of two cells using low and medium dielectric loss materials. It gives the main measurement results obtained on three different materials: decanol alcohol, polytetrafluoroethylene (PTFE) and polyvinyl chloride (PVC) in the frequency range from 3 MHz up to 2GHz.
GAIN AND LOSS OF MONEY IN A CHOICE EXPERIMENT. THE IMPACT OF FINANCIAL LOSS AVERSION AND RISK PREFERENCES ON WILLINGNESS TO PAY TO AVOID RENEWABLE ENERGY EXTARNALITIES

We examine how the direction of price changes affects the value people place on avoiding renewable energy externalities in Poland. Additionally, we investigate the influence of individuals’ financial loss aversion and financial risk preferences on this valuation. In our study we conduct a choice experiment survey in which respondents’ choices indicate the value they place on avoiding wind, solar, and biomass externalities. We combine this survey with a financial lottery choice task that elicits the respondents’ risk preferences and degree of loss aversion. In the choice experiment we use both increases and decreases in electricity bills to depict the uncertain effect of new sources of energy generation on the current price level. This design allows us to investigate if obtained values are independent of the payment mechanism. In the analyzed context, our results indicate that marginal utility of money seems to be lower with a rebate on the energy bill than with a surcharge. Moreover, financial risk preferences affect people’s choices in a case of a surcharge, while loss aversion for money affects them in the case of a rebate. We find that the more loss averse people are with regard to money, the more they require compensation before they accept externalities from renewable electricity production. In contrast, the more risk seeking people are in a financial domain, the less cost sensitive they are and the more willing they are to pay for proposed changes in renewable electricity generation.
Effect of Sulphur and Sulphur Oxidizing Bacteria on Growth and Production of Garlic (Allium sativum, L.) under Saline Conditions

Two field experiments were carried out at Ras Sudr experimental Research Station, Desert Research Center, South Sinai Governorate, Egypt, during 2007-2008 and 2008-2009 growing seasons. The objective of the study was to investigate the effect of source and rate of sulphur (0, 500,750 and 1000 kg. agricultural S /fed. or 0, 2 and 4 % wettable sulphur) with or without sulphur oxidizing bacteria on growth, total yield and its components and mineral contents of garlic (Chinese cultivar). The application of agricultural sulphur either at rate of 500 kg. or 750 kg. combined with 4 % wettable sulphur in the presence of sulphur oxidizing bacteria resulted in a significant increases in vegetative growth characters and yield and its components as well as mineral contents of garlic, except sodium and chloride content which were reduced with sulphur treatments. Single sulphur oxidizing bacteria showed less increases than those recorded as a result of either agriculture sulphur applied alone or combined with sulphur oxidizing bacteria. The highest values of garlic yield were obtained with sulphur oxidizing bacteria inoculation combined with agricultural sulphur at rate of either 750 or 500 kg. / fed. added to the soil plus 4 % wettable sulphur. Linear correlations revealed the existence of significant positive correlation between total yield and either bulb weight contents of S, N, P or K.
COMBINATION OF SPECTRAL AND MULTI-RESOLUTION WAVELET ANALYSIS FOR FAULT DETECTION IN ELECTRIC MOTORS

The purpose of this paper is to extract mechanical features from the motor current signals subjected to accelerated bearing fluting aging, and to detect the effects of bearing fluting at each aging cycle of induction motors. This feature of bearing degradation is achieved by monitoring the changes in the current signals at various sub-band levels. This is accomplished by the application of wavelet transforms and multi-resolution analysis (MRA) in order to extract information from selected frequency bands.
DRIVERS FATIGUE DETECTION SYSTEM BASED ON PERCLOS

This study develops a real-time drowsiness detection system based on PERCLOS to determine if the driver is fatigued. The proposed system comprises three parts: first, it calculates the approximate position of the driver’s face, and then uses a small template to analyze the eye positions; second, it uses the data from the previous step and PERCLOS to establish a fatigue model; and finally, based on the driver’s personal fatigue model, the system continuously monitors the driver’s state. Once the driver exhibits fatigue, the system alerts the driver to stop driving and take a rest.
Simulation of Multi-Camera Indoor and Outdoor 3D Scanner

Photogrammetry allows a three-dimensional reconstruction of the object based on its multiple photography’s. The quality of the reconstruction result depends mostly on the gloss, the diversity of the texture, the lighting conditions, the quality of the camera calibration and the shape of the object. The article presents the results of a simulation of a multi-camera reconstruction system, for the needs of designing indoor and outdoor 3D scanner. The 3D reconstruction system works by simultaneously taking photographs of cameras located around the object. The simulation was created to investigate the optimal distribution of cameras and projectors casting a pattern that increases the number of characteristic points on the surface of the object. The impact of background removal in images on the reconstruction result as well as the texture quality of the object depending on the resolution and distance of the cameras from the object were also investigated. The graphic engine used to create the simulation also allows testing of impact of various conditions. The presented results prove that the parameters of the system structure, such as the placement of cameras, projectors, the selection of patterns projected by the projectors are important and their values can be determined at the stage of system simulation. The acquired results are promising and will be further investigated.
INTEGRATIVE SIMULATION CHAIN FOR LIFETIME ASSESSMENT OF HIGHLY LOADED SHORT FIBER-REINFORCED THERMOPLASTICS : STATE-OFTHE-ART AND NEED FOR IMPROVEMENTS

In this work the state of the art of the integrative simulation chain for design and dimensioning of short fibre reinforced plastics part is discussed. After introducing the single steps of this chain, the topics of weld line and damage accumulation are discussed in detail. Considering some explicative cases, the current limitations in the prediction of weld line position are highlighted and their consequences on lifetime prediction are discussed. In particular, the influence of the mesh and the viscosity models, as available in process simulation, are analyzed, considering a plate with an insert creating a weld line. The needs for improvement in process simulation in order to enable the computation of a weld line quality variable are formulated. Concerning damage accumulation, the limitations of the commonly adopted Miner’s rule are reported and the need for a basic understanding of the relevant mechanisms is stated.
Genome-Wide CRISPR Screening Identifies JAK1 Deficiency as a Mechanism of T-Cell Resistance

Somatic gene mutations play a critical role in immune evasion by tumors. However, there is limited information on genes that confer immunotherapy resistance in melanoma. To answer this question, we established a whole-genome knockout B16/ovalbumin cell line by clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein-9 nuclease technology, and determined by in vivo adoptive OT-I T-cell transfer and an in vitro OT-I T-cell-killing assay that Janus kinase (JAK)1 deficiency mediates T-cell resistance via a two-step mechanism. Loss of JAK1 reduced JAK-Signal transducer and activator of transcription signaling in tumor cells—resulting in tumor resistance to the T-cell effector molecule interferon—and suppressed T-cell activation by impairing antigen presentation. These findings provide a novel method for exploring immunotherapy resistance in cancer and identify JAK1 as potential therapeutic target for melanoma treatment.