Miracle-dz/UniFAR-FTUs huggingface dataset:
Survival and ice nucleation activity of bacteria as aerosols in a cloud simulation chamber

Abstract. The residence time of bacterial cells in the atmosphere is predictable by numerical models. However, estimations of their aerial dispersion as living entities are limited by a lack of information concerning survival rates and behavior in relation to atmospheric water. Here we investigate the viability and ice nucleation (IN) activity of typical atmospheric ice nucleation active bacteria (Pseudomonas syringae and P. fluorescens) when airborne in a cloud simulation chamber (AIDA, Karlsruhe, Germany). Cell suspensions were sprayed into the chamber and aerosol samples were collected by impingement at designated times over a total duration of up to 18 h, and at some occasions after dissipation of a cloud formed by depressurization. Aerosol concentration was monitored simultaneously by online instruments. The cultivability of airborne cells decreased exponentially over time with a half-life time of 250 ± 30 min (about 3.5 to 4.5 h). In contrast, IN activity remained unchanged for several hours after aerosolization, demonstrating that IN activity was maintained after cell death. Interestingly, the relative abundance of IN active cells still airborne in the chamber was strongly decreased after cloud formation and dissipation. This illustrates the preferential precipitation of IN active cells by wet processes. Our results indicate that from 106 cells aerosolized from a surface, one would survive the average duration of its atmospheric journey estimated at 3.4 days. Statistically, this corresponds to the emission of 1 cell that achieves dissemination every ~ 33 min m−2 of cultivated crops fields, a strong source of airborne bacteria. Based on the observed survival rates, depending on wind speed, the trajectory endpoint could be situated several hundreds to thousands of kilometers from the emission source. These results should improve the representation of the aerial dissemination of bacteria in numeric models.
Assessment of Damage and Anisotropic Plasticity Models to Predict Ti-6Al-4V Behavior

The plastic behavior of the Ti-6Al-4V alloy includes several features as strength differential effect, anisotropy and yield strength sensitivity to temperature and strain rate. Monotonic tensions in the three orthogonal directions of the material are performed to identify the Hill '48 yield criterion. Monotonic compression and plane strain tensile tests are also included in the experimental campaign to identify the orthotropic yield criterion of CPB06. An assessment of the two models is done by comparing the yield loci and the experimental data points for different levels of plastic work. A first approach of the damage modelling of the Ti-6AL-4V alloy is investigated with an extended Gurson-Tvergaard-Needleman damage model based on Hill '48 yield criterion. Finite element simulations of the experiments are performed and numerical results allows checking force-displacement curves until rupture and local information like displacement and strain fields. The prediction ability of the Hill '48, CPB and extended Gurson models are assessed on simple shear and notched tensile tests until fracture.
Supplementation with L-Carnitine improves uterine receptivity in women with prior implantation failure during frozen embryos transfer: A double-blinded, randomized, placebo-controlled clinical trial

Aim: To evaluate the impact of adding L-carnitine (LC) to usual endometrial preparation on endometrial receptivity in women with at least one prior implantation failure during intra-cytoplasmic sperm injection (ICSI)/frozen embryo transfer (FET) cycles.Methods: This prospective, double-blinded, placebo-controlled, randomized, parallel-group, concealed allocation, superiority trial was conducted at a private specialized IVF center at Benha, El-Qalubia, Egypt, between November 2015 and May 2017. The study included 124 infertile couples with at least one prior implantation failure (PIF) in ICSI/FET cycles ; they were allocated to receive usual endometrial preparation plus 3 gm LC/daily until transfer (62) or received placebo (62) plus usual estradiol valerate. Outcomes were endometrial thickness, implantation rate, chemical pregnancy rate, clinical pregnancy rate, ongoing implantation rate, ongoing pregnancy rate, live birth rate and live borne babies rate.Results: Infertile women with at least one prior implantation failure in ICSI/FET cycles co-treated with L-Carnitine showed significantly thicker endometrium (mm) 9.8 ± 1.2 in LC vs 8.4 ± 0.7 in non LC with Δ (95% CI) = 1.4 (1.74, 1.05) and higher chemical pregnancy rate 46 (74.2%) in LC vs 22 (35.4%) in non LC with ΔPP (95% CI) = 38.8 (71.46; 52.96) and RR (95% CI) = 2.09 (1.44, 30.1) and NNT (95% CI) = 3 (2, 5). Also, higher clinical pregnancy rate was (34 (54.8%)) in LC vs 14 (22.6%) in non LC with ΔPP (95% CI) = 32.2% (15.13, 46.77) and RR (95% CI) = 2.4 (1.45, 40.5) and NNT (95% CI) = 4 (3-7) as well as higher live birth rate and live bone rate of singletons fetus (P < 0.05). Conclusion: Data presented in this trial supported the supplementation of LC to usual endometrial preparation in women with at least one prior implantation failure in ICSI/FET cycles as it improved endometrial receptivity indicated by improved implantation rate, clinical pregnancy rate and live birth rate.
A reliable direct drive for the steering wheel column of buses: part 2 report for development of precision docking function for bus rapid transit

A 3-part study has been conducted on the fault analysis of a precision docking system for bus rapid transit (BRT) applications. Bus precision docking (BPD), using electronic guidance technologies, can lead to high docking accuracy and consistency allowing fast loading and unloading of passengers with special needs. The study also reports on the safety design of the safety critical elements for precision docking systems. This report, Part II, evaluates the feasibility of using a direct drive for the steering wheel column of buses and heavy trucks. Because of the advantages for medium- to low-power servo applications, permanent magnet technology is proposed for the motor design. A redundant set of windings is introduced in the motor, along with a fault-detection/;isolation system, to provide fault tolerance and increase the actuator's reliability.
Are the Flocks Critical Phenomena

Almost all flock models are constructed using a self-propelled particle system (SPPs). In an SPP method, each individual will interact with neighbors found within a certain radius. Recent investigations are forcing us to reconsider the notion of the neighborhood in flocks. Cavagna et al. found a scale-free correlation in which the sub-flocks use the same information and where their size is proportional to the flock size. This finding indicates that the flock neighborhood dynamically changes the shape and formation of the flock. They defined this state of the flock as the "noise critical phenomenon". However, is it a sufficient interpretation of the scale-free correlation? The agent of the type-token model, which we proposed, changes its neighborhood by adjusting between the type and token cognitions. These differences in the neighborhood of each agent enables their flock to rapidly change direction without external noise and shows a scale-free correlation that is supported with empirical research. The typetoken model suggests that the flock emerges as a scale-free correlation without considering noise critical phenomena.
Emerging Therapeutic Approaches for the Most Aggressive Epithelial Thyroid Cancers

The majority of epithelial thyroid carcinomas (TC) have a differentiated (DTC) histotype and include the papillary (PTC) and the follicular (FTC) TC which, ensuing dediffer‐ entiation, generate the aggressive poorly differentiated (PDTC) and anaplastic (ATC) TC. Although derived from the same cell type, each TC shows specific histological features, biological behavior, and degree of differentiation because of different genetic alterations. Total thyroidectomy, followed by adjuvant therapy with 131I, is the treatment of choice for most patients affected by DTC. The prognosis of DTC patients is favora‐ ble, with 10‐year survival rate of nearly 90%. However, one third of them face the morbidity of disease recurrence and TC‐related deaths. The worst outcomes are encountered in patients with PDTC and ATC. The latter, in particular, has a mean survival time of few months from the diagnosis, which is not influenced by current anticancer treatments. Following the progress made in the comprehension of the underlying molecular mechanisms deregulated in TC progression, novel therapeutic approaches have come to light. Here, we will attempt to review new targeted thera‐ pies, which are currently being exploited in preclinical and clinical studies, with tyrosine kinase inhibitors as well as with emerging inhibitors of mitotic kinases, in PDTC and ATC.
Faster Homomorphic Discrete Fourier Transforms and Improved FHE Bootstrapping

In this work, we propose a faster homomorphic linear transform algorithm for structured matrices such as the discrete Fourier transform (DFT) and linear transformations in bootstrapping. First, we proposed new method to evaluate the DFT homomorphically for a given packed ciphertext from the Cooley-Tukey fast Fourier transform algorithm. While the previous method requires O( √ n) rotations and O(n) constant vector multiplications, our method only needs O(logn) rotations/multiplications by consuming O(logn) depth for the length of input vector n. Second, we apply the same method to the linear transform of bootstrapping for HEAAN. To achieve this, we construct a recursive relation of matrices in those linear transformations. Accordingly, we can highly accelerate the linear transformation part of bootstrapping: the number of homomorphic operations becomes logarithmic to the number of slots, as in homomorphic DFT. We also implement both algorithms. Our homomorphic DFT with length 2 only takes about 8 seconds which is about 150 times faster result than previous one. The bootstrapping for HEAAN with our linear transform algorithm takes about 2 minutes for C plaintext space with 8 bit precision, which takes 26 hours using the previous method.
Asymptotic Expansions of Feynman Amplitudes in a Generic Covariant Gauge

We show in this paper how to construct Symanzik polynomials and the Schwinger parametric representation of Feynman amplitudes for gauge theories in a generic covariant gauge. The complete Mellin representation of such amplitudes is then established in terms of invariants (squared sums of external momenta and squared masses). From the scaling of the invariants by a parameter we extend for the present situation a theorem on asymptotic expansions, previously proven for the case of scalar field theories, valid for both ultraviolet or infrared behaviors of Feynman amplitudes.
Improving Scalability of Java Archive Search Engine through Recursion Conversion And Multithreading

Based on the fact that bytecode always exists on Java archive, a bytecode based Java archive search engine had been developed [1, 2]. Although this system is quite effective, it still lack of scalability since many modules apply recursive calls and this system only utilizes one core (single thread). In this research, Java archive search engine architecture is redesigned in order to improve its scalability. All recursion are converted to iterative forms although most of these modules are logically recursive and quite difficult to convert (e.g. Tarjan’s strongly connected component algorithm). Recursion conversion can be conducted by following its respective recursive pattern. Each recursion is broke down to four parts (before and after actions of current and its children) and converted to iteration with the help of caller reference. This conversion mechanism improves scalability by avoiding stack overflow error caused by method calls. System scalability is also improved by applying multithreading mechanism which successfully cut off its processing time. Shorter processing time may enable system to handle larger data. Multithreading is applied on major parts which are indexer, vector space model (VSM) retriever, low-rank vector space model (LRVSM) retriever, and semantic relatedness calculator (semantic relatedness calculator also involves multiprocess). The correctness of both recursion conversion and multithread design are proved by the fact that all implementation yield similar result.
Ringel Duals of Brauer Algebras via Super Groups

We prove that the Brauer algebra, for all parameters for which it is quasi-hereditary, is Ringel dual to a category of representations of the orthosymplectic super group. As a consequence we obtain new and algebraic proofs for some results on the fundamental theorems of invariant theory for this super group over the complex numbers and also extend them to some cases in positive characteristic. Our methods also apply to the walled Brauer algebra in which case we obtain a duality with the general linear super group, with similar applications.
Computation of EFIE Matrix Entries With Singular Basis Functions

The use of singular basis functions enhances the convergence of method-of-moments (MoM) solutions for structures containing edges. While standard algorithms for computing the MoM matrix entries treat Green’s function singularities, these are not well-suited for integrating the singular basis functions: conventional quadrature routines exhibit slow convergence and may produce inaccurate results. In this paper, new algorithms are proposed for handling the combination of edge singularities and Green’s function singularities on quadrilateral cells.
Radiation Characteristics Enhancement of Dielectric Resonator Antenna Using Solid/Discrete Dielectric Lenses

The radiation characteristics of the dielectric resonator antennas (DRA) is enhanced using different types of solid and discrete dielectric lenses. One of these approaches is by loading the DRA with planar superstrate, spherical lens, or by discrete lens (transmitarray). The dimensions and dielectric constant of each lens are optimized to maximize the gain of the DRA. A comparison between the radiations characteristics of the DRA loaded with different lenses are introduced. The design of the dielectric transmitarray depends on optimizing the heights of the dielectric material of the unit cell. The optimized transmitarray achieves 7 dBi extra gain over the single DRA with preserving the circular polarization. The proposed antenna is suitable for various applications that need high gain and focused antenna beam.
Autonomous Navigation in Interaction-Based Environments—A Case of Non-Signalized Roundabouts

To reduce the number of collision fatalities at crossroads intersections, many countries have started replacing intersections with non-signalized roundabouts, forcing the drivers to be more situationally aware and to adapt their behaviors according to the scenario. A non-signalized roundabout adds to the autonomous vehicle planning challenge, as navigating such interaction-dependent scenarios safely, efficiently, and comfortably has been a challenge even for human drivers. Unlike traffic signal-controlled roundabouts, where the merging order is centrally controlled, driving a non-signalized roundabout requires the individual actor to make the decision to merge based on the movement of other interacting actors. Most traditional autonomous planning approaches use rule-based speed assignment for generating admissible motion trajectories, which work successfully in non-interaction-based driving scenarios. They, however, are less effective in interaction-based scenarios as they lack the necessary ability to adapt the vehicle's motion according to the evolving driving scenario. In this paper, we demonstrate an adaptive tactical behavior planner (ATBP) for an autonomous vehicle that is capable of planning human-like motion behaviors for navigating a non-signalized roundabout, combining naturalistic behavior planning and tactical decision-making algorithm. The human driving simulator experiment used to learn the behavior planning approach and the ATBP design is described in this paper.
Enhanced Rates of Regional Warming and Ocean Acidification After Termination of Large‐Scale Ocean Alkalinization

Termination effects of large‐scale artificial ocean alkalinization (AOA) have received little attention because AOA was assumed to pose low environmental risk. With the Max Planck Institute Earth system model, we use emission‐driven AOA simulations following the Representative Concentration Pathway 8.5 (RCP8.5). We find that after termination of AOA warming trends in regions of the Northern Hemisphere become ∼50% higher than those in RCP8.5 with rates similar to those caused by termination of solar geoengineering over the following three decades after cessation (up to 0.15 K/year). Rates of ocean acidification after termination of AOA outpace those in RCP8.5. In warm shallow regions where vulnerable coral reefs are located, decreasing trends in surface pH double (0.01 units/year) and the drop in the carbonate saturation state (Ω) becomes up to 1 order of magnitude larger (0.2 units/year). Thus, termination of AOA poses higher risks to biological systems sensitive to fast‐paced environmental changes than previously thought.
The significance of IgG antibodies against tissue transglutaminase in coeliac disease.

Objectives: We analysed whether the quantification of autoantibodies against tissue transglutaminase could be used to predict mucosal destruction and disease severity in patients with gluten sensitivity. Patients and Methods: One hundred seventy patients with coeliac disease (CD), comprising 52 children with severe malabsorption (group 1), 59 children with mild symptoms (group II), 59 adults (group III), 134 patients with dermatitis herpetiformis (DH), and 131 disease controls, were studied. Serial serum samples of patients in groups I and II on a gluten-free diet were also included. Serum levels of antibodies against recombinant tissue transglutaminase were determined with ELISA using standard curves for quantification of antibodies. Results: Immunoglobulin (Ig)A antibodies against tissue transglutaminase (IgA-TGA) were detected in all of the patients with CD and in 95% of the DH patients. The IgA-TGA and IgG-TGA levels were higher in group I (P < 0.001). The IgG-TGA levels and positivity rate in group I (100%)were higher than in group II (81%), group III (73%), and the DH group (67%). Elevated IgA-TGA and IgG-TGA levels in combination predicted a more severe small intestinal atrophy (P < 0.0001) with a specificity of 99% for Marsh IIIb-IIIc (flat) lesions. The kinetics of the IgA-TGA decrease during diet differed between groups I and II. Conclusions: High levels of IgA-TGA and IgG-TGA antibodies were associated with the grade of mucosal villous atrophy and a more severe clinical presentation. The combined measurement of IgA-TGA and IgG-TGA enables a noninvasive prediction of small intestinal villous atrophy with high accuracy, and may reduce the need for a biopsy in patients with suspected CD.
Sii-Mobility: an IOT/IOE Architecture to Enhance Smart City Services of Mobility and Transportation

The new IoT/IoE (internet of things/everythings) paradigm and architecture permits to rethink about the way the Smart City infrastructures are designed and managed, on the other hand a number of problems have to be solved. In terms of mobility the cities that embrace the sensoring era can take advantage of this disruptive technology to improve the quality of life of their citizen, also thanks the rationalization in the use of their resources. In Sii-Mobility, a national smart city project on mobility and transportation, a flexible platform has been designed and here, in this paper, is presented. It permits to setup heterogeneous and complex scenarios that integrate sensors/actuators as IoT/IoE in an overall scenario of Big Data, Machine Learning and Data Analytics. A detailed and complex case-study has been presented to validate the solution in the context of a system that dynamically reverse the traveling direction of a road segment, with all the safety conditions in place. This case study composes several building blocks of the IoT platform, which demonstrate that a flexible and dynamic set-up is possible, supporting off-grid, security, safety, cloud and mixed solutions.
A novel method for enhancing the classification of pulmonary data sets using generative adversarial networks

Currently, the use of deep neural networks in the field of processing medical images is increasing. Particularly, these networks are widely used in medical applications such as medical diagnosis. Recently, the use of generative adversarial networks has been increasing in various applications. In this paper, we propose a new method for improving and classifying a CT scan dataset of a lung image based on generative adversarial networks. Images are selected from LUNA16 dataset. After pre-processing the dataset of images and selecting the candidate areas, we divided nodule images into 3 groups of small, medium and large, and configured a generative adversarial network. Then we applied a dataset of nodule image in 3 categories, along with a random normal vector as inputs of the network. By using this method, equally we increased our dataset of images in both class of nodule and non-nodule images. Finally, we use 6 types of the CNN neural network as feature extraction and classifier on a dataset of new generated images. Compared to the use of data augmentation and use of pre-trained networks and fine-tuning, the high accuracy of the proposed method demonstrates its optimal efficiency.
PERMISSION BASED MOBILE MARKETING AND SMS AD AVOIDANCE

The authors examined the relationship between permission to SMS Advertising and the types of SMS Advertising Avoidance. This research covers the three types of advertising avoidance: cognitive ad avoidance, affective ad avoidance, and behavioral ad avoidance. A survey of 441 respondents chosen with convenience sampling method was conducted. At the end of the Regression and MANOVA analysis on the data resulting from the survey, it is discovered that there is a negative and significant relationship between permission to SMS Advertising and all types of SMS Advertising Avoidance. The affective ad avoidance is found as the highest explained variance with the permission variable.