Miracle-dz/UniFAR-FTUs huggingface dataset:
Production and caracterization of monoclonal antibodies for the detection of Salmonella enterica in chicken meat

Foi obtido um painel de 13 anticorpos monoclonais que reagem com proteinas de membrana externa de Salmonella Enteritidis. Dois MAbs foram classificados como IgM, 6 foram do isotipo IgG2a, tres foram do isotipo IgG3 e um do isotipo IgG2b. A reatividade dos anticorpos monoclonais (MAbs) com diferentes sorovares de Salmonella e outras bacterias foi investigada atraves de um ELISA indireto. Cinco MAbs reagiram apenas com Salmonella Enteritidis. Dois MAbs apresentaram reacao cruzada com antigenos termoextraidos de Klebsiella pneumoniae, Citrobacter freundii e Enterobacter aerogenes. O MAb 424H apresentou amplo espectro de reatividade, detectando antigenos de Salmonella pertencentes aos sorogrupos B, C, D, E, e G. O limite de deteccao de diferentes sorovares de Salmonella em um ELISA indireto com o MAb 424H variou de 1,0 x 104 UFC/mL para Salmonella London a 1,4 x 106 UFC/mL para Salmonella Gallinarum e Salmonella Typhimurium. A avaliacao do desempenho do ELISA indireto com o MAb 424H na deteccao de diferentes sorovares de Salmonella em amostras de carne de frango, mostrou ser possivel detectar todos os sorovares apos o enriquecimento das amostras, nos tres niveis de contaminacao utilizados. A analise de aliquotas de amostras de carne de frango nao contaminadas artificialmente, feita em paralelo, foi negativa para Salmonella tanto no metodo convencional quanto no ELISA.
Real-time persona classification of visitor event streams with Tensorflow graphs

With the steep emerging of machine learning and big data technologies, it is easier every day for companies to take advantage of all their data about their customers. One of the hottest topic is personalization to improve user experience, for example the “Did you forget this product? ” suggestions a few supermarket implements, or recommendations based on the user’s basket and purchase history. One of the companies to utilize machine learning in their daily life is REWE Digital, one of the biggest supermarket-chains in Germany, which handles millions of customer events every day. The broad goal of this thesis is to present a way to effectively predict the persona (for example “Family with two high school children”, “Couple without children”, “Working single”, “Older family with a teenager”, “Old couple” or “Student”) of a web session in realtime based on their behavior, like events of visiting and buying certain products, basket size and price, et cetera. First, it will be shown how web sessions can be clustered without hundreds of URL features expected by the paper of Olfa Nasraoui, Hichem Frigui, Raghu Krishnapuram and Anupam Joshi in case pages can be broken down to a fix amount of attributes. Then, the customer events shared by REWE will be prepared and transformed to feature vectors, with which several clustering methods will be tested and compared to find out which ones are useful for web sessions. After having the clusters, this thesis will introduce the possible ways to predict the corresponding cluster of a new session real-time. Lastly, possible methods to validate the effectiveness of the formed clusters will be discussed.
Simulation of Rime Icing and Its Effects on Aerodynamic Characteristics of an Airfoil

A mathematical model for simulation of icing dedicated to simulation of ice accretion and its effects on aircraft aerodynamic characteristics in conditions of rime icing is presented. Pure rime icing occurs at lower temperatures than glaze icing and results in higher roughness of the surface of deposited ice. The model accounts for increased surface roughness, in terms of equivalent sand grain roughness, caused by deposited rime ice, which influences generation and dispersion of heat in the boundary layer. Increase of surface roughness is determined by analytical models created upon experimental data obtained in icing wind tunnels. Increased generation of heat is a result of increased tangential stress on the surface and is quantified in the temperature recovery factor determined numerically by a CFD solver. Effects of surface roughness on the intensity of forced convection are quantified by application of Colburn analogy between heat and momentum transfer in the boundary layer, which allows assessment of heat transfer coefficient for known friction coefficient, determined by CFD. The computational method includes determination of the surface distribution of mass of captured water in icing conditions. The model of freezing of captured water accounts for generation of heat due to latent heat of captured water droplets, temperature recovery in boundary layer and kinetic energy of captured droplets. The sinks of heat include forced convection, heating of super cooled droplets, conduction of heat through the ice layer and sublimation. The mathematical model is implemented as user-defined function module in ANSYS Fluent solver. The results include effects of deposited ice, including increased surface roughness on aerodynamic characteristics of an airfoil.
HSV-2 sacral radiculitis (Elsberg syndrome)

A self-limiting syndrome of acute urinary retention in combination with variable other signs of spinal cord dysfunction and CSF pleocytosis was described by Elsberg >70 years ago.1 In many instances, a viral etiology is found, and herpes simplex virus type 2 (HSV-2) reactivation from spinal ganglia is the most common associated infection. Lumbosacral involvement in neoplastic disease, as also reported by Elsberg, is rare. The clinical presentation of mostly younger patients with signs of acute radiculomyelitis, such as transient urinary retention and sensory lumbosacral symptoms, is thus referred to as Elsberg syndrome. Sexually active women are preferentially affected, adolescents only rarely. We report a 40-year-old woman who developed sensory loss in a lower sacral dermatome distribution, dull pain in the buttock region, and acute urinary retention. There were no motor symptoms, no obstipation, no fever, and no rash. CSF showed lymphocytic pleocytosis (162/μL) with elevated albumin (690 mg/dL). Serum HSV-2 immunoglobulin (Ig) M and IgG titers …
ost plant preference of Lygus hesperus exposed to three esert-adapted industrial crops ames

The desert-adapted crops vernonia (Centrapalus pauciflorus), lesquerella (Physaria fendleri), and camelina (Camelina sativa) are being grown in the arid southwestern USA as potential feedstock for biofuel and/or other environmentally friendly products. A plant feeding choice test was conducted to determine the relative attractiveness of these three “new” crops to a possible insect pest, Lygus hesperus Knight. Adult L. hesperus were readily observed feeding or resting on the flowering structures of each plant type, but they were seen most often on vernonia and least often on camelina. Lygus hesperus readily deposited their eggs entrapalus pauciflorus arthenium argretatum
At PROPULSION / AIRFRAME INTEGRATION CONSIDERING LOW DRAG AND LOW SONIC BOOM

This paper describes a propulsion/airframe integration for a supersonic transport considering low-drag and low-boom. Three types of nacelle layout (i.e., over-wing, underwing, and side-body nacelles) were considered and the nacelle position was optimized to reduce both drag and sonic boom intensity. Results show the importance of the nacelle shock wave in determining longitudinal and chord-wise nacelle positions that has a larger impact on low-drag and low-boom than spanwise, lateral, and vertical nacelle positions. The Pareto optimal solutions show that the sidebody nacelle realizes the optimum compromise between low-drag and low-boom by utilizing the nacelle shock wave. The key point in determining the longitudinal position of sidebody nacelles is to obtain the optimum compromise between increase in the angle of attack and decrease in the wind drag, both of which are caused by the nacelle shock wave.
. 3 ( 3 ) Production and Optimization of PHB by Bacillus megaterium And Azospirillum spp

In the present study, bacterial species were isolated from the soil sample. Among the bacterial isolates, Bacillus megaterium and Azospirillum spp were identified based on the cultural, morphological and biochemical characteristics. PHB production of Bacillus megaterium and Azospirillum spp were screened by slide and plate method using the sudan black B staining. The isolated organism was grown in fermented medium. Among this study, high amount of PHB obtained from Azospirillum spp compared with Bacillus megaterium. The bacterial isolates were harvested and bioplastic prepared by using sorbital, gelatin and glycerol compound. In addition, chemical based commercial plastic was prepared and compared with bioplastic for plasticizing and moldable property. The PHB production was optimized using different parameters such as carbon, nitrogen sources, various pH and temperature. Finally concluded that, high amount of PHB was obtained from Azospirillum spp compared with Bacillus megaterium.
Chapter 2 A 50-Year Retrospective and the Future

Experimental turbulence research has always been about “Big Data”—and usually never enough of it. Part of the reason has been because of the need to use statistical measures. Data records measured in thousands of time integral scales are necessary to make even the simplest estimators converge, sometimes even tens and hundreds of thousands of integral scales in length for probability density functions and correlations at large lags. As a general rule the time (or length of record required) for a given statistical error is proportional to the rms fluctuations of the statistical quantity being estimated divided by the square root of the number of effectively independent realizations of it. Note that the variance of the quantity being measured is not the same as the variance of the underlying process. For example, if a second moment is to be measured its variance is hŒu2 hu2i 2i, which for a Gaussian process is 3 Œhu2i , and can be much larger for non-Gaussian processes which are common in turbulence. The pre-multiplying factor for simple powers of the variance increases rapidly with the order of the moment, so demands on data length can increase very rapidly (v. [15, 29, 30], or appendices of my turbulence notes available at www.turbulence-online.com). The same is true for attempts to measure events of decreasing probability (like the tails of a pdf), since the lower the probability of it being observed, the more “statistically independent” data that must be acquired to measure it. Fractional statistical error, or variability, is the rms fluctuation of the quantity being measured divided by its average or expected value, or the variability of the quantity desired itself. So the higher the variability of the process, the more independent samples are required to estimate it. Quantities with zero mean will always have infinite variabilities, but finite errors. Many a student has thrown away
Cone beam computed tomography assessment on the influence a collagen membrane placed on the antrostomy after maxillary sinus floor augmentation . A randomized clinical trial

Aim: to evaluate the dimensional variation and healing of the antrostomy left unprotected or protected with a collagen membrane. Material and Methods: The Schneiderian mucosa will be elevated and the created space will be filled with a natural bovine bone grafting material (Cerabone® 1-2 mm, Botiss Biomaterials GmbH). In ten patients randomly selected (control sties), a native collagen membrane made of porcine dermis (Collprotect®, Botiss Biomaterials GmbH) will be placed on the antrostomy. In ten patients of the test group, the antrostomy will be left without the membrane. The flaps will be sutured and anti-inflammatory drugs and antibiotics will be administrated to the patients. The sutures will be removed after 7 days. CBCTs will be taken for all patients before surgery (T0), after 1 week from sinus floor augmentation (T1) and after 9 months of healing (T2) and evaluation of dimensional variations over time of soft and hard tissues will be performed.
C 63 THREE-DIMENSIONAL SIMULATION OF LIGHT-SCATTERING OVER NONPLANAR SUBSTRATES IN PHOTOLITHOGRAPHY

A key step in photolithography simulation is a rigorous three-dimensional modeling of the exposure/bleaching of the resist's photoactive compound (PAC). Thereby electromagnetic (EM) scattering of light caused by the nonlinear resist as well as by a nonplanar topography has to be considered. We present a novel three-dimensional approach, based on a numerical solution of the Maxwell equations. Furthermore, we give a physically rigorous description of scattering effects as necessary for sub-micrometer-photolithography. A similar method in two dimensions was first proposed in the simulation of diffraction gratings [l] and adapted for photolithography in [2).
CURIE Preliminary Design

The Unresolved Resonance Region (URR) is located within the intermediate energy region of neutron cross section. There are distinct physical resonances in this region but they cannot be determined empirically. Monte Carlo codes have developed various ways to approximate the URR and expensive differential measurement and computational work has been done in recent years. Given the advances in these areas, an integral experiment is needed to validate the methods and data. Critical Unresolved Region Integral Experiment (CURIE) aims to achieve this goal.
Genome-wide activities of Polycomb complexes control pervasive transcription

Polycomb group (PcG) complexes PRC1 and PRC2 are well known for silencing specific developmental genes. PRC2 is a methyltransferase targeting histone H3K27 and producing H3K27me3, essential for stable silencing. Less well known but quantitatively much more important is the genome-wide role of PRC2 that dimethylates ∼70% of total H3K27. We show that H3K27me2 occurs in inverse proportion to transcriptional activity in most non-PcG target genes and intergenic regions and is governed by opposing roaming activities of PRC2 and complexes containing the H3K27 demethylase UTX. Surprisingly, loss of H3K27me2 results in global transcriptional derepression proportionally greatest in silent or weakly transcribed intergenic and genic regions and accompanied by an increase of H3K27ac and H3K4me1. H3K27me2 therefore sets a threshold that prevents random, unscheduled transcription all over the genome and even limits the activity of highly transcribed genes. PRC1-type complexes also have global roles. Unexpectedly, we find a pervasive distribution of histone H2A ubiquitylated at lysine 118 (H2AK118ub) outside of canonical PcG target regions, dependent on the RING/Sce subunit of PRC1-type complexes. We show, however, that H2AK118ub does not mediate the global PRC2 activity or the global repression and is predominantly produced by a new complex involving L(3)73Ah, a homolog of mammalian PCGF3.
O C ] 4 S ep 2 01 7 Faster Convergence of a Randomized Coordinate Descent Method for Linearly Constrained Optimization Problems

The problem of minimizing a separable convex function under linearly coupled constraints arises from various application domains such as economic systems, distributed control, and network flow. The main challenge for solving this problem is that the size of data is very large, which makes usual gradient-based methods infeasible. Recently, Necoara, Nesterov, and Glineur [8] proposed an efficient randomized coordinate descent method to solve this type of optimization problems and presented an appealing convergence analysis. In this paper, we develop new techniques to analyze the convergence of such algorithms, which are able to greatly improve the results presented in [8]. This refined result is achieved by extending Nesterov’s second technique [4] to the general optimization problems with linearly coupled constraints. A novel technique in our analysis is to establish the basis vectors for the subspace of the linearly constraints.
Commitment and Robustness in Mechanisms with Evidence 1

We show that in a class of I–agent mechanism design problems with evidence, commitment has no value for the principal, randomization has no value for the principal, and robust incentive compatibility has no cost. In particular, there is an equilibrium with a relatively simple structure in which the principal obtains the same outcome without commitment as the best he can achieve with commitment.
The Relationship between Ethics Training and Employee Satisfaction : A Mediator of Corporate Responsibility Practices

This study investigated the effects of ethics training on employee satisfaction. It also examined the mediating role of corporate-responsibility practices on the relationship between ethics training and employee satisfaction. Data were collected from Taiwan-based senior executives who represented, in total, 109 companies and who completed a questionnaire. Results show that ethics training positively influenced corporate-responsibility practices and that corporate-responsibility practices positively influenced employee satisfaction. We also found that corporate responsibility practices had a “partial mediating effect” on the relationship between ethics training and employee satisfaction.
G protein g (Gg) subtype dependent targeting of GRK2 to M3 receptor by Gbg

Interactions of cytosolic G protein coupled receptor kinase 2 (GRK2) with activated G protein coupled receptors (GPCRs) induce receptor phosphorylation and desensitization. GRK2 is recruited to active M3muscarinic receptors (M3R) with the participation of the receptor, Gaq and Gbg. Since we have shown that signaling efficacy of Gbg is governed by its Gg subtype identity, the present study examined whether recruitment of GRK2 to M3R is also Gg subtype dependent. To capture the dynamics of GRK2recruitment concurrently with GPCR-G protein activation, we employed live cell confocal imaging and a novel assay based on Gbg translocation. Data show that M3R activation-induced GRK2 recruitment is Gg subtype dependent in which Gbg dimers with low PM-affinity Gg9 exhibited a two-fold higher GRK2recruitment compared to high PM affinity Gg3 expressing cells. Since 12-mammalian Gg types exhibit a cell and tissue specific expressions and the PM-affinity of a Gg is linked to its subtype identity, our results indicate a mechanism by which Gg profile of a cell controls GRK2 signaling and GPCR desensitization. © 2018 Elsevier Inc. All rights reserved.
Importance of Image and Point Cloud Matching of Road Infrastructure Feature Extraction

Nowadays, collection procedures are getting faster and simpler, so the requirements of data processing are higher. This paper will show some of realized projects using the methodology of mobile laser scanning (MLS). The paper will also cover best practices for working with the large data sets and creation of final product. Reliable feature extraction from 3D point cloud data is an important phase in many application domains, such as traffic managing, object recognition, autonomous navigation, civil engineering and architectural projects, and so on. All those projects need to rely on quality data for existing conditions in order to be successful, so the used methodology for data processing has been analyzed in details. Point cloud, as a main surveying result has to be matched in order to obtain high-quality data. This paper deals with problems and methodology of matching of point cloud, as well as matching of images and emphasize the importance of this step at the multiple scans of the same corridors. All the future work, for exampleclassification of point cloud, extraction of selected features and creation of the final product depends on the point cloud matching. The importance of the integration of images and point cloud in the process of extraction of 3D structural elements of the space of the road infrastructure, as well as in the process of visualization and presentation of the same, was emphasized. After this part, the whole process of extraction of road infrastructure data is done. As there are different solutions for extraction, in this paper is chosen Orbit application. The usage of Orbit feature extraction and Orbit publisher is explained with all its advantages. At the end, ideas about further work and conclusions are presented.
P o S ( D I S 2 0 1 3 ) 2 8 1 Electroweak boson production at LHCb

We report measurements of electroweak boson production in t he forward region, using protonproton collison data collected at the LHCb experiment at a ce ntre of mass energy of √ s = 7 TeV with an integrated luminosity of up to 1.0 fb −1. W and Z bosons are reconstructed in leptonic decay channels, and their cross-sections determined using data-driven techniques. All results are compared to NLO and NNLO predictions.
A Generalized Euclidean Algorithm for Computing Triangular Representations of Algebraic Varieties

Abstract We present an algorithm that computes an unmixed-dimensional decomposition of an arbitrary algebraic variety V. Each Vi in the decomposition V = V1 ∩ … ∩ Vm is given by a finite set of polynomials which represents the generic points of the irreducible components of Vi. The basic operation in our algorithm is the computation of greatest common divisors of univariate polynomials over extension fields. No factorization is needed. Some of the main problems in polynomial ideal theory can be solved by means of our algorithm: we show how the dimension of an ideal can be computed, systems of algebraic equations can be solved, and radical membership can be decided. Our algorithm has been implemented in the computer algebra system MAPLE. Timings on well-known examples from computer algebra literature are given.
SATISFYING SLA OBJECTIVES OF SEAMLESS EXECUTION OF MOBILE APPLICATIONS IN CLOUD WITH NET PROFIT

Mobile Cloud Computing (MCC) technology enables the resource-constrained Smartphones to outsource its richer applications onto resource-abundant cloud. Cloud computing has emerged as a platform to extend the capabilities of mobile devices regarding energy and resources. MCC offers the services to enhance mobile user convenience, the energy-hungry applications require selective offloading of tasks onto the cloud and optimally scheduling the tasks by taking into account the cloud resources. Even though, the MCC offers the services with high level user convenience, it creates numerous challenges for the service providers. This paper proposes Maximizing User anTicipation on cloUd-based mobile AppLications BesidE NEt proFIT (MUTUAL-BENEFIT), an optimization approach that satisfies the Service Level Agreements (SLA) of the users and simultaneously maximizes the profit of the service provider. The MUTUAL-BENEFIT significantly enhances task offloading, scheduling and resource allocation in MCC environment. Initially, offloading manager of ThinkAir architecture judiciously offloads the intensive tasks based on the knowledge of device energy and performs parallelized execution. Secondly, the non-recursive dynamic programming assisted Ant Colony Optimization (ACO) method schedules the intensive tasks for an extended battery and quick response. It contemplates the SLA objective factors such as execution time, load and profit as the pheromone value of ACO while selecting the optimal resources. Together with SLAaware task scheduling and the utility function based optimal VM resource allocation maintains an excellent trade-off between the service satisfaction and profit. The experimental results show that MUTUALBENEFIT approach preserves the device energy while ensuring the optimal SLA objectives and profit of the provider.