Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution of wire feeding elements in laser-arc hybrid welding

One of the advantages of the laser-arc hybrid welding is to attain the improved microstructure and mechanical property of the weld metal by feeding filler materials. In this case, the alloying elements should be distributed homogeneously all over the weld metal. In the present paper, the effect of welding variables on the distribution of the alloying elements has been investigated. Some driving forces acting on the molten pool have also been discussed to understand the distribution behaviour of the alloying elements. Full penetration hybrid welding was carried out on 11 mm thick 0.1C-1.3Mn-0.3Si steel. Molten metal flow on the pool surface and inside the sample was observed by a high-speed video camera and a micro-focused x-ray transmission imaging system, respectively. For homogeneous distribution, it is effective to promote the molten metal flow towards inside of the keyhole (inward flow). Leading laser is more effective to attain the homogeneous distribution, since the drag force of arc plasma jet promotes the inward flow. Addition of more than 2 % oxygen in the arc shielding gas is also effective for the homogeneous distribution, since the inward Marangoni flow is promoted.One of the advantages of the laser-arc hybrid welding is to attain the improved microstructure and mechanical property of the weld metal by feeding filler materials. In this case, the alloying elements should be distributed homogeneously all over the weld metal. In the present paper, the effect of welding variables on the distribution of the alloying elements has been investigated. Some driving forces acting on the molten pool have also been discussed to understand the distribution behaviour of the alloying elements. Full penetration hybrid welding was carried out on 11 mm thick 0.1C-1.3Mn-0.3Si steel. Molten metal flow on the pool surface and inside the sample was observed by a high-speed video camera and a micro-focused x-ray transmission imaging system, respectively. For homogeneous distribution, it is effective to promote the molten metal flow towards inside of the keyhole (inward flow). Leading laser is more effective to attain the homogeneous distribution, since the drag force of arc plasma jet prom.
Entradas e saídas no sistema previdenciário brasileiro: uma aplicação de tábuas de mortalidade

Esta dissertacao tem como objetivo principal calcular as probabilidades de entrada e saida do Sistema Previdenciario Brasileiro, buscando suprir uma carencia de informacoes vitais a formulacao de cenarios, que fornecam subsidios a reforma da Previdencia Social. Para isso e feita uma aplicacao de tabuas de mortalidade simples e de multiplos decrementos, onde cada funcao das tabuas permite elucidar aspectos do comportamento do Sistema Previdenciario. Sao elaboradas comparacoes por grupos de especies de beneficios, sexo e clientela. Alem disso, as probabilidades obtidas sao comparadas com outros estudos, sendo que, no caso das probabilidades de saida, foi feito um paralelo com o perfil verificado para a populacao total. Os resultados ressaltam os efeitos do Novo Plano de Beneficios, implantado em 1991, avaliam o impacto de uma possivel eliminacao da aposentadoria por tempo de servico, caracterizam os beneficiarios invalidos como sujeitos a uma mortalidade muito mais alta do que a da populacao total e apontam para a existencia de problemas de subenumeracao no fluxo anual de saida de beneficios.
Enhancement of optical properties of Perovskite solar cells through added plasmonic nanostructures

Hybrid organic-inorganic perovskites have been extensively studied as a promising research topic in solar energy harvesting, due to their simple process, developed optical and electrical properties, and relatively low-cost materials. However, the perovskite solar cells have some low optical absorption near redvisible region. This research work presents numerically the enhancement of optical characteristics of Cs0.17FA0. 83Pb(Br0.17I0.83)3 (CsFA) perovskite solar cell through adding films of gold nanoparticles. The mean diameter of gold nanoparticles is selected to offer an optical spectrum overlap between plasmonic resonance spectrum with the low absorption spectrum of perovskite material.
When the fingers do the talking: A study of group participation for different kinds of shareable surfaces

A user study is presented that investigates how different configurations of input can influence equity of participation around a tabletop interface. Groups of three worked on a design task requiring negotiation in four interface conditions that varied the number (all members can act or only one) and type (touch versus mice) of input. Our findings show that a multi-touch surface increases physical interaction equity and perceptions of dominance, but does not affect levels of verbal participation. Dominant people still continue to talk the most, while quiet ones remain quiet. Qualitative analyses further revealed how other factors can affect how participants contribute to the task. The findings are discussed in terms of how the design of the physical-technological set-up can affect the desired form of collaboration.
Contribution au développement de l’apprentissage profond dans les systèmes distribués

L'apprentissage profond permet de developper un nombre de services de plus en plus important. Il necessite cependant de grandes bases de donnees d'apprentissage et beaucoup de puissance de calcul. Afin de reduire les couts de cet apprentissage profond, nous proposons la mise en œuvre d'un apprentissage collaboratif. Les futures utilisateurs des services permis par l'apprentissage profond peuvent ainsi participer a celui-ci en mettant a disposition leurs machines ainsi que leurs donnees sans deplacer ces dernieres sur le cloud. Nous proposons differentes methodes afin d'apprendre des reseaux de neurones profonds dans ce contexte de systeme distribue.
Evaluation of GS-loaded poly1-hexene as a new elastomeric drug release system

Abstract In this study, one of the higher Poly α-olefins, poly1-hexene (PHex), was rationalized for possible application in in-vitro drug delivery system. In this aspect, PHex was synthesized using a conventional TiCl4/MgCl2/TEAL Ziegler-Natta catalyst. The synthesized polymer was characterized by NMR, GPC, and cellular toxicity methods. Then, the effect of triethylcitrate and glycerin plasticizers on the topography, water vapor permeation and water sorption properties of the prepared fabricates was investigated. Finally, in-vitro drug release characteristic of the gentamicin loaded PHex and PHex/TEC samples was evaluated during eight days. Obtained results highlighted the potential of PHex elastomer in developing medical devices with enhanced drug release characteristics.
Framework based on lambda architecture applied to IoT: case scenario

Since the beginning of the first decade of current millennium, it has been witnessed an exponential grow of data being produced every day. First, the increase was given to the amount of data generated by GPS devices, then, the quickly arise of social networks, and now because a new trend as emerged named Internet of Things. This new concept, which is already a reality, was born from the premise of facilitating people's lives by having small electronic devices communicating with each other with the goal to suggest small daily decisions based on the behaviours experienced in the past. With the goal to keep this concept alive and extended further to other applications, the data produced by the target electronic devices is however need to be process and storage. The data volume, velocity and variety are the main variables which when not over planned on the correct way, a wall is created at the point of enviabilize the leverage of the true potential of this new group of applications. Traditional mechanisms and technologies did not follow the actual needs and with the goal to keep the concept alive the address of new technologies are now mandatory. On top of the line, leading the resolution of this new set of challenges, composed by a distributed file system and a parallel processing Framework is Hadoop. Hadoop have proven to fit under the new imposed challenges being capable of process and storage high volumes of data on a costeffective batch-oriented way. However, given its characteristics on other hand it presents some drawbacks when faced with small amounts of data. In order to gain leverage on market, the companies need not only to be capable of process the data, but process it in a profitable way. Real time processing technologies are needed to complement batch oriented technologies. There is no one size fits all system and with the goal to address the multiples requirements, different technologies are required to be combined. Result of the demanding requirements imposed by the IoT concepts, is the environment which on will be relied the address of the business use case under analyses. Based on the needs imposed by a use case belonging to IoT, through the Lambda architecture, different technologies will be combined with the goal that in the end all the imposed requirements can be accomplished and exceeded. In the end, the solution presented will be evaluated on a real environment as proof of concept.
Azimuthal fractalography of networks of biological crystals

This report contains the results of approbations of the polarization correlometry method (PCM) – statistical mapping of biological tissues fractal structure (myocardium and brain - “fibrillar optically anisotropic networks” and the wall of the rectum - “island optically anisotropic structures”) and liquids (polycrystalline films of synovial fluid - a superposition of “structured and island networks of biological crystals").
Applying Deep Learning Method to Data Analysis of Low Voltage Line Carrier Module

With the increasing popularity of the global energy Internet, the smart grid in the city has developed rapidly, and the number of smart energy meters is increasing year by year. The demand for detecting the carrier module of the power meter has also increased to a new level. But the existing carrier module data analysis scheme is not perfect. It is urgent to need a complete set of carrier module data analysis scheme and new detection technology to realize the multiplexing of carrier module data, and to excavate the value of the carrier module to detect the data. Unlike previous studies, which using SVM and Bayesian networks, this paper proposes a scheme for classification of carrier module detection data using a deep learning network. GRU deep neural network is used to model the test data and identify the environment automatically. According to the recognition results, the carrier module can be adjusted accordingly. Experiments show that the scheme proposed in this paper has good results. Our scheme has very good effect in low voltage power line carrier communication data analysis task. It can excavate valuable information of low voltage power line carrier communication and has high economic value. In addition, the technical solutions proposed in this paper will not affect the existing business processes, and can be applied in large areas.
Microstructural, electronic, and mechanical properties of L12 ordered Al3Er and Al3Yb intermetallics: an experimental and first-principles calculations

The microstructural, electronic, and mechanical properties of L12 ordered Al3Er and Al3Yb intermetallics were analyzed by x-ray diffraction (XRD), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS) and first-principles calculations based on the density functional theory (DFT). The results show that the Al3Er intermetallic presents short rod-like structures in the Al-10 wt% Er alloy while the Al3Yb intermetallic presents continuous network structures in the Al-10 wt% Yb alloy. The calculated lattice constants are highly consistent with available experimental measurements, with a deviation less than 1.9%. The results of negative cohesive energy ( E c o h ) of the Al3Er and Al3Yb intermetallics indicate that they are both stable structures, while the structural stability of Al3Er intermetallic is stronger than that of Al3Yb. Further analysis on the bonding of electronic structures shows that Al3Er intermetallic is a higher stable structure than Al3Yb. It is found that Al3Er and Al3Yb intermetallics are brittle and the plasticity of Al3Yb intermetallic is stronger than Al3Er. From the results of the Young’s modulus, the Al3Er and Al3Yb intermetallics have strong anisotropic characteristics but the difference between Al3Er and Al3Yb intermetallics is small. According to the calculated Debye temperature, the Al3Er intermetallic exhibits relatively higher thermal conductivity and stronger covalent bonds.
Green in-situ Fabrication of PtW/Poly Ethylen Dioxy Thiophene/Graphene Nanoplates/Gas Diffusion Layer (PtW/ PEDOT /GNP/GDL) Electrode and its Electrocatalytic Property for Direct Methanol Fuel Cells Application

In this study nanocomposite films of PtW nanoparticles deposited on a poly ethylen dioxy thiophene/graphene nanoplates/gas diffusion layer (PEDOT/GNP/GDL) electrode are fabricated via an electrochemical route involving a series of electrochemical process. GNPs are in situ reduced on carbon paper covered with 3, 4 ethylen dioxy thiophene during the in situ polymerization of EDOT. PtW nanoparticles 18.57nm in average size are prepared by electrodeposition on the surface of PEDOT/GNP/GDL. Field emission scanning electronic microscopy (FESEM) images showed spongy aggregates of PEDOT densely cover the surface and edges of the GNP layers, implying the existence of a strong interaction between PEDOT and GNP. Based on electrochemical characterization, it was found that the as prepared electrode exhibited comparable activity for the methanol oxidation (MEOH) reaction with respect to commercial Pt/C/GDL based on the traditional sprayed method. A significant reduction in the potential of the CO electro-oxidation peak from 0.92V for Pt/C to 0.75V for the PtW/PEDOT/GNP/GDL electrode indicates that an increase in the activity for CO electro-oxidation is achieved by replacing Pt with PtW. This may be attributed to structural changes caused by alloying and the increased conductivity and high specific surface area of PEDOT and GNPs catalyst support, respectively. CV scanning results showed that the PtW/PEDOT/GNP/GDL electrode has greater stability than the Pt/C/GDL electrode.
Fused deposition modelling: a review

Fused deposition modelling (FDM) is the most economical additive manufacturing technique. The purpose of this paper is to describe a detailed review of this technique. Total 211 research papers published during the past 26 years, that is, from the year 1994 to 2019 are critically reviewed. Based on the literature review, research gaps are identified and the scope for future work is discussed. ,Literature review in the domain of FDM is categorized into five sections – (i) process parameter optimization, (ii) environmental factors affecting the quality of printed parts, (iii) post-production finishing techniques to improve quality of parts, (iv) numerical simulation of process and (iv) recent advances in FDM. Summary of major research work in FDM is presented in tabular form. ,Based on literature review, research gaps are identified and scope of future work in FDM along with roadmap is discussed. ,In the present paper, literature related to chemical, electric and magnetic properties of FDM parts made up of various filament feedstock materials is not reviewed. ,This is a comprehensive literature review in the domain of FDM focused on identifying the direction for future work to enhance the acceptability of FDM printed parts in industries.
Nanoscale Hierarchical Structure of Twins in Nanograins Embedded with Twins and the Strengthening Effect

Hierarchical structures of 20 nm grains embedded with twins are realized in electrodeposited Au–Cu alloys. The electrodeposition method allows refinement of the average grain size to 20 nm order, and the alloying stabilizes the nanoscale grain structure. Au–Cu alloys are face-centered cubic (FCC) metals with low stacking fault energy that favors formation of growth twins. Due to the hierarchical structure, the Hall–Petch relationship is still observed when the crystalline size (average twin space) is refined to sub 10 nm region. The yield strength reaches 1.50 GPa in an electrodeposited Au–Cu alloy composed of 16.6 ± 1.1 nm grains and the average twin spacing at 4.7 nm.
A Nanoindentation Study on Al (TiFe-Mg-SiC) Composites Fabricated via Stir Casting

The limitations of aluminium in most engineering applications has led to the development of aluminium matrix composites with improved microstructural and mechanical properties. Nanoindentation techniques was used in assessing the mechanical properties of fabricated aluminium matrix composites with ferrotitanium and silicon carbide as reinforcements. Results from nanoindentation experiments shows the dependence of modulus of elasticity, microhardness and contact depth on the dispersion of ferrotitanium and silicon carbide reinforcements within the aluminium matrix. Highest nanohardness value was observed in composite with 7 wt. % silicon carbide, while the lowest elastic modulus was recorded in as-cast aluminium. Further analysis of specimens confirmed a decrease in maximum penetration depth with respective increase in the addition of silicon carbide reinforcements in the fabricated composites.
The Sleeping Giant: Australian Rules Football in the Lives of Muslim Women in Western Sydney

Whilst Muslim minorities have lived in Western countries for centuries (Duderija, 2007; Voas& Fleischmann, 2012), recent political events such as the Gulf War and September 11 has put Islam under a microscope, especially within mass media (Poynting & Mason, 2007). Due to the number of Muslim immigrants increasing in the West, issues surrounding Islam acted a as focal point in academic literature. However, Australian literature has mainly documented issues associated with Muslims and their experiences with racism (Poynting & Noble, 2004; Mansouri & Trembath, 2005), assimilation (Mills & Keddie, 2010; Woodlock, 2011), and gender construction (Rozario, 1998; Bouma & Brace-Govan, 2000).
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data

Abstract In several applications, a large amount of Low-Accuracy (LA) data can be acquired at a small cost. However, in many situations, such LA data is not sufficient for generating a higidelity model of a system. To adjust and improve the model constructed by LA data, a small sample of High-Accuracy (HA) data, which is expensive to obtain, is usually fused with the LA data. Unfortunately, current techniques assume that the HA data is already collected and concentrate on fusion strategies, without providing guidelines on how to sample the HA data. This work addresses the problem of collecting HA data adaptively and sequentially so when it is integrated with the LA data a more accurate surrogate model is achieved. For this purpose, we propose an approach that takes advantage of the information provided by LA data as well as the previously selected HA data points and computes an improvement criterion over a design space to choose the next HA data point. The performance of the proposed method is evaluated, using both simulation and case studies. The results show the benefits of the proposed method in generating an accurate surrogate model when compared to three other benchmarks.
Status of the silicon pore optics technology

Silicon Pore Optics (SPO) uses commercially available monocrystalline double-sided super-polished silicon wafers as a basis to produce mirrors that form lightweight and stiff high-resolution x-ray optics. The technology has been invented by cosine and the European Space Agency (ESA) and developed together with scientific and industrial partners to mass production levels. SPO is an enabling element for large space-based x-ray telescopes such as Athena and ARCUS, operating in the 0.2 to 12 keV band, with angular resolution requirements up to 5 arc seconds. SPO has also shown to be a versatile technology that can be further developed for gamma-ray optics, medical applications and for material research. This paper will summarise the status of the technology and of the mass production capabilities, show latest performance results and discuss the next steps in the development.
Multi-objective modelling of simultaneous reconfiguration of NMG-based distribution network and operation of different DERs

ABSTRACT A Micro-Grid (MG) is envisaged with ever increasing distributed energy resources (DERs) e.g. distributed generation, demand response and electrical vehicles. This paper suggests a method based on multi-objective modelling for day-ahead scheduling of Networked-MGs based distribution network in the presence of different DERs and also this method is able to find the daily reconfiguration instants. The proposed scheme is solved using NSGA-II from distribution network operator viewpoints, who is responsible for providing power demand in higher reliability level and lower costs. Besides, in the suggested scheme voltage deviation and voltage stability as efficient power quality criteria in distribution networks and emission pollutant reduction are incorporated as independent objective functions. Moreover, to quantify the influence of different load models, a 33-node distribution network is adopted with a load class mix of residential, industrial and commercial loads. Eventually, the obtained results are reported which verify the efficiency of the proposed method.
Stop! Go! What can we learn about family planning from birth timing in settler South Africa, 1800-1910?

We revisit the discussion on family limitation through stopping and spacing behavior both prior to and during the fertility transition. Using the birth histories of 13519 settler women in nineteenth century South Africa we find no evidence of parity specific spacing prior to the transition. In addition we _find no differences in spacing behavior based on differences in time invariant economic and social characteristics. On commencement of the fertility transition, we see increasing parity dependent spacing as well as variation in spacing based on differences in economic and social characteristics. We see little change in stopping behavior over time. The transition appears to be driven by delayed marriage and wider birth intervals.
Vegetation Mapping of a Tomato Crop using Multilayer Perceptron (MLP) Neural Network in Images Acquired by Remote Sensing from a UAV

Remote sensing from an Unmanned Aerial Vehicle (UAV), also known as Low Altitude Remote Sensing provides interesting options for applications in agriculture. Vegetation mapping is an important application in remote sensing applications. In this work vegetation mapping is carried out in a tomato crop. Aerial imagery of tomato crop is acquired by a Quadcoptor UAV with an optical sensor as the payload. The optical sensor is the camera module of a Raspberry PI single board Single Board Computer (SBC). Vegetation mapping of the tomato crop is carried out by segmentation of the tomato crop images using the proposed MLP-SEG method. Performance of MLP-SEG method is compared with a Support Vector Machine (SVM) based method SVM-SEG. Confusion matrix parameters are used to analyse the performance of the proposed method. The results indicate that MLP-SEG performance is comparable to SVM-SEG.