Miracle-dz/UniFAR-FTUs huggingface dataset:
0 Ln Applications of Gauge Theories N to Enhance Numerical Solutions N of Mixed Potential Integral Equations 0

The mixed potential electric field integral equation (MPIE) method is a widely used numerical method in wave sci-ttering analysis. The MPIE and all other classical Maxwell equation scattering methods involving the scalar and vector potentials are based on the Lorentz gauge. in this report we analyze a series of waveguiding and scattering problems formulated by enforcing the Coulomb gauge. Coulomb gauge Green's functions are derived for a rectagular waveguide, free space, a cylinder and a wedge. With the MPiE method the currents on a scatterer are shown to be gauge independent. Comparisons are therefore made between the computation times necessary for calculating the current on a straight thin wire and arbitrary scatterers in the presence of a circular conducting cylinder and conducting wedge. Conclusions are drawn concerning the utility of the Coulomb gauge as compared to the Lorentz and other gauges. */
Sex Differences in PTSD

Research into the psychological sequalae of trauma originally started out by focusing on two sex-specific trauma populations: male war veterans with “soldier's heart”, “shellshock”, “battle fatigue”, or “war neurosis” and female victims of sexual assault or domestic violence with “rape trauma syndrome” or “battered woman syndrome”. It was noted how the flashbacks and nightmares reported by rape survivors were similar to the symptoms reported by war veterans, and several researchers and clinicians started pointing out that these trauma specific syndromes might be more similar than different (Ray, 2008; Van der Kolk, 2007). Finally, it was the large number of male Vietnam veterans and the activities of feminist and student organisations, which led to the inclusion of the first PTSD diagnosis into the American DSM-III in 1980 (American Psychiatric Association, 1980). With the introduction of the PTSD diagnosis, the idea that the male war neurosis and the female rape trauma syndrome were ultimately manifestations of the same disorder was widely accepted. As a result, most research on PTSD has been based on the idea that males and females are traumatised in similar ways, and studies on sex differences in PTSD have primarily focused on examining and explaining sex differences in the prevalence and severity of PTSD, whereas studies on sex differences in the manifestation of PTSD are almost completely absent from this otherwise expanding area of research. Most literature on sex differences in PTSD uses the terms sex and gender interchangeably. Traditionally, however, the term sex refers to the biological distinction between males and females, whereas gender refers to the much more complex cultural understanding of masculine and feminine gender roles as they are viewed in the context of not only sex, but also culture, subculture, age, race, class, and sexual orientation. Even though many studies on PTSD claim to examine gender differences, most studies have in fact studied sex differences and only few have looked into the effect of masculinity or femininity on PTSD. Although this chapter will focus primarily on sex, we acknowledge that gender is likely to affect the development and maintenance of PTSD in males and females as well. The contribution of sex versus gender based explanations for sex differences in PTSD will be discussed throughout the chapter, although the topic merits a more thorough discussion than is possible here.
Benzalkonium chloride effectiveness as a disinfectant against hospital-associated methicillin-resistant Staphylococcus aureus (HA-MRSA)

Aims: Benzalkonium chloride is used to disinfect hospital instruments to prevent nosocomial infection caused by microorganisms, such as Methicillin Resistant Staphylococcus aureus (MRSA). There are strains of MRSA isolated from hospitals that were found to be resistant towards benzalkonium chloride. This research was aimed to compare the affectivity of different concentrations of benzalkonium chloride to inhibit the growth of Hospital-Associated MRSA (HAMRSA) and determine the Minimum Inhibitory Concentration (MIC) of benzalkonium chloride against HA-MRSA. Methodology and results: The samples were five HA-MRSA isolates obtained from Dr. Soetomo Hospital Surabaya. It was identified by amplification of SCCmec genes. The HA-MRSA with SCCmec type III was divided into six flasks based on the concentration of benzalkonium chloride in their inoculation media (0 μg/mL, 0.625 μg/mL, 1.25 μg/mL, 2.5 μg/mL, 5 μg/mL, and 10 μg/mL). The growth of HA-MRSA in media was determined by the number of colonies after treatment. The result showed that the MIC of benzalkonium chloride for HA-MRSA was 5 μg/mL, where no growth of bacterial was observed. There was significant difference in MRSA colony count between different groups of benzalkonium chloride concentrations (p = 0.001), and there was negative correlation between benzalkonium chloride concentration and HAMRSA growth (p = 0.0001 and r = -0.880). Conclusion, significance and impact of study: The concentration of benzalkonium chloride influences the growth of HA-MRSA. The higher the concentration, the fewer HA-MRSA growth. Application of benzalkonium chloride according to MIC will prevent HA-MRSA resistance towards benzalkonium chloride.
Development of key performance indicators for organizational structures in construction and real estate management

Construction projects as well as comprehensive projects of Real Estate Developments are evolving more and more as a matter of complex interacting networks driven by means of coordination and motivation. Profound analysis of networks is done since several years with remarkable success in particular by sociologists. By modelling social networks through methods provided by Linear Algebra and matrix calculation, some very interesting general parameter can be formulated, which characterize the networks solely based on its structure. Social networks are developing on a background of personalities and the interaction specified by sociology in general and in particular a subset of interaction means given by e.g. software restrictions on respective platforms. Such procedures turn out to be useful and directly applicable to networks formed by participants in construction projects like trades, subcontractors, workers, departments, hierarchical groups and other involved parties. The generalized personalities are also given by their tasks and their according interests and motivation, where the interaction is defined by legal dependencies and contracts. Not much diverse from this situation are the markets in real estate development, where players and their rules are given accordingly. In this research we propose to define network parameters for project interaction structures in construction as well as in development situations and analyze these for the a priori elaboration of well supported interaction schemes. Furthermore already existing parameters are to be identified and mapped on this parallel world in order to improve the understanding and thus the definition of an organization plan as an inevitably required precondition for thoroughly prepared projects.
Multi-keyword Ranked Search with Fine-grained Access Control over Encrypted Cloud Data

With the development of cloud computing, people have become accustomed to using these cheap and convenient services provided by the cloud server for data storage and processing. For protecting data privacy from leaking information to unauthorized users, probably including the cloud service provider (CSP), the data must be stored in an encrypted form before outsourcing, which leads to some traditional data services being unavailable, for example, data search. Therefore, to design a privacy-preserving data search scheme is an extremely challenging problem. Meanwhile in order to keep data from using (and even searching) by unauthorized users, it also needs to make sure that the search scheme could achieve fine-grained access control on data users, according to the access policies made by the date owner (DO). In this paper, considering both the control of user's access authority and the privacy protection in data search, we have designed a multi-keyword searchable scheme with access control over encrypted cloud data. By using the technology of inverted indexes, we can rapidly filter out data files that users own authority to access, while methods of coordinate matching and secure inner product computation have also been introduced to realize the privacy-preserving multi-keyword search. Through analysis of privacy and efficiency, we prove that our scheme achieves the requirements of privacy protection under two different adversary models, and that it has relatively high efficiency from the perspective of time complexity.
Development and validation of a hybrid temporal LES model in the perspective of applications to internal combustion engines

CFD simulation tools are increasingly used nowadays to design more fuel-efficient and clean Internal Combustion Engines (ICE). Within this framework, there is a need to benefit from a turbulence model which offers the best compromise between prediction capabilities and computational cost. The Hybrid Temporal LES (HTLES) approach is here retained within the perspective of an application to ICE configurations. HTLES is a hybrid Reynolds-Averaged Navier Stokes/Large Eddy Simulation (RANS/LES) model based on a solid theoretical framework using temporal filtering. The concept is to model the near-wall region in RANS and to solve the turbulent structures in the core region if the temporal and spatial resolutions are fine enough. In this study, a dedicated sub-model called Elliptic Shielding (ES) is added to HTLES in order to ensure RANS in the near-wall region, regardless of the mesh resolution. A modification of the computation of the total kinetic energy and the dissipation rate was introduced as first adaptions of HTLES towards non-stationary ICE configurations. HTLES is a recent approach, which has not been validated in a wide range of applications. The present study intends to further validate HTLES implemented in CONVERGE code by examining three stationary test cases. The first validation consists of the periodic hill case, which is a standard benchmark case to assess hybrid turbulence models. Then, in order to come closer to real ICE simulations, i.e., with larger Reynolds numbers and coarser near-wall resolutions, the method is validated in the case of a channel flow using wall functions and in the steady flow rig case consisting in an open valve at a fixed lift. HTLES results are compared to RANS k-ω SST and wall-modeled LES σ simulations performed with the same grid and the same temporal resolution. Unlike RANS, satisfactory reproduction of the flow recirculation has been observed with HTLES in the case of periodic hills. The channel flow configuration has underlined the capability of HTLES to predict the wall friction properly. The steady flow rig shows that HTLES combines advantages of RANS and LES in one simulation. On the one hand, HTLES yields mean and rms velocities as accurate as LES since the scale-resolving simulation is triggered in the core region. On the other hand, hybrid RANS/LES at the wall provides accurate pressure drop in contrast with LES performed on the same mesh. Future work will be dedicated to the extension of HTLES to non-stationary flows with moving walls in order to be able to tackle realistic ICE flow configurations.
Wide modulation bandwidth terahertz detection in 130 nm CMOS technology

Design, manufacturing and measurements results for silicon plasma wave transistors based wireless communication wideband receivers operating at 300 GHz carrier frequency are presented. We show the possibility of Si-CMOS based integrated circuits, in which by: (i) specific physics based plasma wave transistor design allowing impedance matching to the antenna and the amplifier, (ii) engineering the shape of the patch antenna through a stacked resonator approach and (iii) applying bandwidth enhancement strategies to the design of integrated broadband amplifier, we achieve an integrated circuit of the 300 GHz carrier frequency receiver for wireless wideband operation up to/over 10 GHz. This is, to the best of our knowledge, the first demonstration of low cost 130 nm Si-CMOS technology, plasma wave transistors based fast/wideband integrated receiver operating at 300 GHz atmospheric window. These results pave the way towards future large scale (cost effective) silicon technology based terahertz wireless communication receivers.
New records and potential distribution by Ecological Niche Modeling of Monoxia obesula in the Mediterranean area

New records for the adventive species Monoxia obesula Blake (Coleoptera Chrysomelidae Galerucinae) in the Mediterranean region are reported. An Ecological Niche Modeling (ENM) analysis to estimate the potential distribution of this leaf beetle in the secondary range, through the assessment of the habitat suitability, was performed. The expected distribution, as predicted by the ENM analysis, is rather limited in the Mediterranean region, with high suitability areas only in southern Spain, Sardinia, Sicily, southern peninsular Italy, Tunisia and Egypt. Nevertheless, the Ensemble Models for future climatic conditions predict an expansion from all the currently suitable territories of the Mediterranean region, especially in coastal areas.
Social Digital Discourse : New Challenges for Corpus-and Sociolinguistics

This contribution attempts to link new forms of discourse with old linguistic sub-disciplines, in particular corpusand sociolinguistics. It shows that social digital discourses can enrich the discussion of linguistic concepts as they pose new challenges for linguistic researchers – but they also offer new opportunities. It focuses on Wikipedia, Facebook and Twitter to show how new technical platforms can help us to expand our database to shed new light on old linguistic questions. This approach can make available data from places in Africa and Asia that are otherwise less accessible to the empirical English linguist. The study of social digital discourse may also help to attract media-oriented types of students to linguistic analysis when they realise that social media have something to contribute to linguistics just as linguistics has something to contribute to the new media world, which students and colleagues may perceive as outside of our academic world. This contribution aims to prove that they are not .
The Role of Affect Processing on Infant Word Learning

Although infant-directed speech (IDS) supports infant word learning, it is unclear whether such influence is due to the linguistic or social (i.e., positive emotion) cues conveyed. This paper examines the effect of positive affect on infant word learning. 17-month-old infants were tested on their ability to learn novel word-referent pairings produced in happy adultdirected speech (ADS) via a switch task paradigm. Results showed no evidence of word learning, but there was an increased looking time on test to same and switch trials. The level of affect in ADS may not be sufficient to facilitate word learning.
Ceratocystis fimbriatomima , a new species in the C . fimbriata sensu lato complex isolated from Eucalyptus trees in Venezuela

Species of Ceratocystis represent a group of important plant pathogens as well as saprobes that occur, primarily on woody substrates. The number of species in Ceratocystis has increased substantially in recent years, particularly as DNA-based methods have allowed for the recognition of cryptic taxa. The aim of this study was to identify isolates of a Ceratocystis sp. collected from freshly cut stumps of Eucalyptus trees in Venezuela. This was carried out using morphological comparisons with similar fungi as well as DNA sequence comparisons for the Internal Transcribed Spacer regions 1 and 2 including the 5.8S rDNA operon, part of the Beta-tubulin gene and part of the Transcription Elongation Factor 1-alpha gene region. Characteristics of the fungus in culture and its morphology resembled most species in the C. fimbriata sensu lato species complex. Microscopically, the fungus was most similar to C. fimbriata sensu stricto. Based on phylogenetic analyses, it was distinct from other species of Ceratocystis sensu lato having C. manginecans as its closest relative. The Ceratocystis sp. from Eucalyptus in Venezuela clearly represents a distinct taxon for which the name C. fimbriatomima sp. nov. is provided.
Performance Analysis of Resource Unit Configurations for M2M Traffic in the Narrowband-IoT System

The massive amount of low-end uplink traffic of Machine to Machine (M2M) communications are a key aspect of what 5G will be. In this context, Narrowband-IoT (NB-IoT) is described as the next step to allow Long Term Evolution (LTE) support for this type of traffic. This new technology provides support to massive amounts of ultra-low-end devices while occupying the frequency space of a single LTE resource block. This work studies the NB-IoT uplink, which allows multitone and single-tone transmissions. These types of transmissions result in configurations of resource units for NB-IoT devices that have different durations and frequency occupations. We present extensive simulations results that provide insight into the behavior of the configurations. Based on these simulations, we discuss the best resource configurations to be used by NB-IoT. We also defend the feasibility of NB-IoT for higher tier traffic. Keywords— M2M, LTE, NB-IoT, Performance Evaluation, Uplink Schedulers.
Deep Learning with SAS ® and Python : A Comparative Study

Deep learning has evolved into one of the most powerful techniques for analytics on both structured and unstructured data. As a well-adopted analytics system, SAS has also integrated deep learning functionalities into its product family, such as SAS Viya, SAS Cloud Analytic Services, and SAS Visual Data Mining and Machine Learning. In this paper, we conduct an in-depth comparison between SAS and Python on their deep learning modeling with different types of data, including structured, images, text, and sequential data. We focus on using such deep learning frameworks in SAS environment, and highlight the main differences between SAS and Python on programming styles on deep learning along with each tool’s advantages and disadvantages.
Driving Style Analysis Using Data Mining Techniques

This paper investigates the modeling of the personal driving style of various vehicle drivers based on several driving parameters. The purpose of such an endeavor is to classify the drivers according to their risk-proneness within the larger context of increasing traffic safety, which is a major concern worldwide. This information is valuable especially for those involved in fleet management and it can be used to improve and to make safer the driving style of various individuals who serve within that fleet. Equally important, such information could help any driver to see the danger within his or her driving style. Cluster and principal component analyses from exploratory statistics have been used to identify and explain drivers grouping according to their driving behavior. The driving parameters (behavioral indices) are collected from urban traffic by an in-house developed GPS-based device and sent to a
Pharmacognostical studies on tubers of Momordica tuberosa Cogn., Cucurbitaceae

The study was aimed at establishing pharmacognostical profile for the tubers of plant Momordica tuberosa Cogn. , Cucurbitaceae. Morphoanatomy of tubers of this plant were studied in order to establish its complete profile to aid in its identification and avoid confusion in its taxanomic species. These were established using light microscopy, WHO recommended physicochemical and phytochemical procedures. The parameters presented here may be used to establish the authenticity of tubers of this plant as this part has been used traditionally in India and also to differentiate between closely related Momordica species.
Mathematical Modeling of Biomass and Enzyme Production Kinetics by Aspergillus niger in Solid-State Fermentation at Various Temperatures and Moisture Contents

The effect of temperature and substrate moisture content on the growth and production of amylase, protease and phytase by Aspergillus niger during solid-state fermentation was investigated. A mathematical model regarding the kinetics of growth and enzyme production was performed to calculate the parameters at different temperatures and substrate moisture contents. The growth kinetics of A. niger could be described by the logistic growth model; the mathematical modeling parameters regarding maximum specific growth rate (μmax) and maximum biomass concentration (Xmax) were obtained by fitting the experimental data to the logistic model. The enzyme production kinetics could be described by the Luedeking-Piret model. The mathematical modeling parameters which included the growth-associated formation constant of the product i (αi) and the non-growth-associated formation constant of the product i (βi) were calculated. The production of amylase, protease and phytase was shown to be exclusively growth-associated. The effect of temperature on μmax, Xmax and αi could be described by the cardinal temperature model with inflection (CTMI). Both growth and enzyme formation were clearly influenced by temperature and the optimum culture conditions for growth and enzyme production by A. niger were determined to be approximately 34°C with a substrate moisture content ranging from 40 to 60%.
INFLUENCE OF LOW VELOCITY IMPACT ON THE FATIGUE BEHAVIOR OF WOVEN HEMP / EPOXY COMPOSITE

1 General introduction During recent years, as a result of environmental a nd economical concerns, there is a growing interest in the use of natural fiber reinforced composites. Pla nt fibers are good ecological candidates for substitut ion of synthetic ones such as glass and Kevlar in terms of specific mechanical properties in composite materials [1] [2]. But knowledge of their resistance to impact, though important for semi-structural applications, is still scarce [3]. The purpose of this work is to study the resistance to low velocity impact of woven hemp/epoxy matrix composites and the influence of impact damage on their residual quasi-static tensile and cyclic fati gue strength. Drop weight impact tests were performed on woven hemp/epoxy composite specimens and analysis of impact behavior and the characterizatio n of damage modes were carried out. Then, impacted specimens were tested in quasi-static and cyclic fatigue tensile loadings.