Miracle-dz/UniFAR-FTUs huggingface dataset:
A small-scale mobility-dependent propagation model for accurate performance evaluation of applications running over wireless channels

Movement of the user is one of the major factors that affect the quality of wireless channels. It may cause qualitative and quantitative changes of the propagation environment leading to different performance characteristics at higher layers. In this paper we propose an extension for existing Markovian wireless channel modeling techniques to the case of mobility-dependent behavior. We represent small-scale propagation characteristics as a stochastic process that explicitly tracks the movement of the user between areas with different characteristics of the received signal strength. The proposed model integrates mobility model and propagation model. The mobility part represents movement of the user between areas with qualitatively or quantitatively different characteristics of the received signal strength and modeled by Markov chain with finite state space. The propagation model captures small-scale propagation characteristics as an explicit function of the mobility model. The resulting mobility-dependent wireless channel model can be used to derive performance parameters of applications in presence of signal changes caused by movement of the user between areas with different propagation characteristics.
Role of Nox 4 in Neuronal Differentiation of Mouse Subventricular Zone Neural Stem Cells

Reactive oxygen species (ROS), at appropriate concentrations, mediate various normal cellular functions, including defense against pathogens, signal transduction, cellular growth, and gene expression. A recent study demonstrated that ROS and ROS-generating NADPH oxidase (Nox) are important in self-renewal and neuronal differentiation of subventricular zone (SVZ) neural stem cells in adult mouse brains. In this study, we found that endogenous ROS were detected in SVZ neural stem cells cultured from postnatal mouse brains. Nox4 was predominantly expressed in cultured cells, while the levels of the Nox1 and Nox2 transcripts were very low. In addition, the Nox4 gene was highly upregulated (by up to 10-fold) during neuronal differentiation. Immunocytochemical analysis detected the Nox4 protein mainly in neurons positive for the neuronal specific tubulin Tuj1. After differentiation, endogenous ROS were detected exclusively in neuron-like cells with processes. In addition, perturbation of the cellular redox state with N-acetyl cysteine, a ROS scavenger, during neuronal differentiation greatly inhibited neurogenesis. Lastly, knockdown of Nox4 using short hairpin RNA decreased neurogenesis. These findings suggest that Nox4 may be a major ROS-generating enzyme in postnatal SVZ neural stem cells, and Nox4-mediated ROS generation may be important in their neuronal differentiation.
Une évaluation pour les migrants arrivés mineurs en France métropolitaine

A better job thanks to personal networks? An evaluation for migrants who arrived in metropolitan France before Age 18 It is more difficult for migrants than natives to find a job in their host country, so many of them have to accept, at least temporarily, a job that is below their level of qualification. This represents a waste of human capital for society and can undermine social cohesion. Relying on social relationships might help them to bypass some of the obstacles that prevent them from finding a job that matches their skillset. We focus on migrants who arrived in France before the age of 18 years, who were educated entirely or partially in France. We use the rich French Trajectories and Origins dataset for 2009 to study the impact of personal contacts on the quality of the current employment. We measure the job quality using an indicator based on the educational requirement for a given occupation. To address the endogeneity between our dependent variable (holding a suitable job or not) and the variable of interest (employment found through a personal contact or not), we use the variable “sibling(s) in France” as an instrument: this variable influences an individual’s probability of finding a job through networks but does not influence directly the quality of the employment. Our results indicate that for these migrants, finding a job through personal contacts strongly and positively impacts the occupational status attained: it raises both women's and men’s probability of holding a suitable job by more than 0.40 points.
2 . 4 Convolution Neural Networks based sentiment analysis using Adaboost combination [ 6 ]

Sentiment analysis is a trending topic, as everyone has an opinion on everything. The systematic study of these opinions can lead to information which can prove to be valuable for many companies and industries in future. A huge number of users are online, and they share their opinions and comments regularly, this information can be mined and used efficiently. Various companies can review their own product using sentiment analysis and make the necessary changes in future. The data is huge and thus it requires efficient processing to collect this data and analyze it to produce required result. In this paper, we will discuss the various methods used for sentiment analysis. It also covers various techniques used for sentiment analysis such as lexicon based approach, SVM [10], Convolution neural network, morphological sentence pattern model [1] and IML algorithm. This paper shows studies on various data sets such as Twitter API, Weibo, movie review, IMDb, Chinese micro-blog database [9] and more. The paper shows various accuracy results obtained by all the systems. Keywords– Machine Learning, Sentiment Analysis, CNN, analysis, AI, SVM, NLP.
Title Relational dynamics in youth mentoring : A mixed methodsstudy

Publication Information Silke, C. , Brady, B. , & Dolan, P. (2019) Relational dynamics in youth mentoring: A mixed-methods study. Galway: UNESCO Child and Family Research Centre, National University of Ireland Galway. Publisher UNESCO Child and Family Research Centre, National University of Ireland Galway Link to publisher's version http://www.childandfamilyresearch. ie/cfrc/publications/policyr eports/
Syddansk Universitet Patients with non-operated traumatic primary or recurrent anterior shoulder dislocation have equally poor self-reported and measured shoulder function A cross-sectional study

Background: Patients with non-operated traumatic primary anterior shoulder dislocation (PASD) are assumed to have less shoulder impairment than patients with recurrent anterior shoulder dislocations (RASD). This may impact treatment decision strategy. The aim was to study whether patients with non-operated traumatic PASD have less shoulder impairment than those with RASD. Methods: In a cross-sectional study baseline data from patients with PASD and RASD in a randomised controlled trial of non-operative shoulder exercise treatment were used. Shoulder function was self-reported (Western Ontario Shoulder Instability (WOSI), Tampa Scale of Kinesiophobia (TSK), General Health (EQ-5D-VAS), Numeric Pain Rating Scale (NPRS)), and measured (Constant-Murley shoulder Score (CMS total), CMS Range of Motion (CMS-ROM, CMS – strength, proprioception, clinical tests). Results: In total, 56 patients (34 (28 men) with PASD and 22 (21 men) with RASD) (mean age 26 years) participated. WOSI total was 1064 and 1048, and TSK above 37 (indicating high re-injury fear) was present in 33 (97%) and 21 (96%) of the groups with PASD and RASD, with no group difference. CMS total (66.4 and 70.4), CMS-ROM (28.7 and 31.5), CMS-strength (injured shoulder: 7.6 kg and 9.1 kg), proprioception and clinical tests were the same. Furthermore, 26 (76%) with PASD and 13 (59%) with RASD reported not to have received non-operative shoulder treatment. Conclusions: Non-operated patients with PASD and self-reported shoulder trouble three-six weeks after initial injury do not have less shoulder impairment (self-reportedly or objectively measured) than non-operated patients RASD and self-reported shoulder trouble three-six weeks after their latest shoulder dislocation event.
The influence of turbulent bursting on sediment resuspension under fluvial unidirectional currents

Laboratory experiments were undertaken conducted in an open channelunidirectional current flume with a flat sandy bedin order to examine the role of turbulence on sediment incipient sediment motion resuspension. An acoustic Doppler velocimeter (ADV) was used to measure the instantaneous three-dimensional velocity components and acoustic backscatter as a proxy to suspended sediment concentration(related to suspended sediment concentration). Estimates of sediment transport 15 assume that there is a mean critical velocity that needs to be exceeded before sediment transport is initiated. This approach does not consider the turbulence flow field that may initiate sediment resuspension through event based processes such as the ‘bursting’ phenomenon. The relationship between wall turbulence (in particular, the ‘bursting’ phenomenon) and resuspension of a non-cohesive sediment bed was examined. In this paper, laboratory measurements were used to examine the sediment resuspension processes below and above the mean critical velocity. The results within a range above and below the measured 20 mean critical velocity suggested that: (1) the contribution of turbulent bursting events remained identical in both experimental conditions; (2) ejection and sweep events contributed more to the total sediment flux than up-acceleration and downdeceleration events; and (3) wavelet transform revealed a correlation between the momentum and sediment flux in both test conditions. Such similarities in conditions above and below the measured mean critical velocity highlighted the need to reevaluate the accuracy of a single time-averaged critical velocity for the initiation of sediment entrainment. 25
Distributed Keyword Management Scheme : Using Hashes and Routing for efficient mDNS Global Search

We proposed mDNS, which is a DNS aware, hierarchical, and scalable multicast session directory architecture that enables multicast sessions registration and makes them discoverable in real time. It supports domain specific as well as global searches for candidate sessions. In this paper we attempt to refine the mDNS global search algorithm and try to address various security and scalability concerns that remained in our earlier proposal. We propose distributing the overall keyword space among designated MSD servers using hash values. Further we propose IP style prefix routing, but for keyword hashes, to locate appropriate MSD server in order to register / retrieve any globally scoped multicast session, in an efficient and fast manner.
Immersive Analytics Sensemaking on Different Platforms

In this work we investigated sensemaking activities on different immersive platforms. We observed user s during a classification task on a very large wall-display system (experiment I) and in a modern Virtual Reality headset (experiment II). In experiment II, we also evaluated a condition with a VR headset with an extended field of view, through a sparse peripheral display. We evaluated the results across the two studies by analyzing quantitative and qualitative data, such as task completion time, number of classifications, followed strategies, and shape of clusters. The results showed differences in user behaviors between the different immersive platforms, i.e., the very large display wall and the VR headset. Even though quantitative data showed no significant differences, qualitatively, users used additional strategies on the wall-display, which hints at a deeper level of sensemaking compared to a VR Headset. The qualitative and quantitative results of the comparison between VR Headsets do not indicate that users perform differently with a VR Headset with an extended field of view.
11 Building Expert Profiles Models Applying Semantic Web Technologies

Semantic Web (SW) is an emerging research field that has application in different domains such as e-government services, richly interlinked library systems, Web search engines, enterprise knowledge stores, and other. The term “Semantic Web” refers to the World Wide Web Consortium’s (W3C) vision of the Web of linked data (called also the Web of Data) as “. an extension of the current Web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation” (Berners-Lee, Hendler, & Lassila, 2001). Since then, many specifications, guidelines, languages, and tools have been developed that facilitate software development, improve performance and create new business opportunities.
Learning finite functions by neural networks : Evaluation of Pentago positions by convolutional neural networks

A convolution neural network (CNN) is a useful tool that approximates a finite function. It is used as a solver for various problems in the real world. In this paper, results of experiments on training variations of a small CNN used for image recognition for evaluating Pentago positions are mainly reported. The author hopes that the results are used in discussion of applicability of deep neural networks to researches in theoretical computer science.
Optimal Allocation of Renewable DG and Capacitor for Improving Technical and Economic Indices in Real Distribution System with Nonlinear Load Model

In this article, simultaneous placement and sizing of renewable distributed generation (DG) and capacitor bank is done in the distribution system with load model sensitive to voltage and frequency. Moreover, the various Customers’ daily load patterns are considered for evaluating the proposed algorithm in more realistic conditions. It is shown that the load model and time of day can significantly affect the performance of Renewable DG and capacitor bank in the distribution system. Wind turbine and photovoltaic are considered as renewable DG units. For better evaluating the proposed method, two situations are assumed for renewable DG units; firstly it is considered that their initial conditions are available at all times but in the next step, the DG units are evaluated in the variable weather condition during the 24hour. The proposed objective functions are the active/reactive power loss, the voltage stability and the profit of company of distribution system. The combination of multi-objective whale optimization algorithm and analytical hierarchy process is used for optimizing the objective functions and selecting the optimal location and size of DG units and capacitor banks. The proposed algorithm is evaluated using the IEEE 69-bus distribution system and the actual 101-bus distribution network in Khoy-Iran. The results indicate the high performance of the proposed method in improving the technical and economic indices of the standard and actual distribution systems. © 2018 Journal of Energy Management and Technology
Robust Optimal Portfolio and Bank Capital Adequacy Management

The task of jointly estimating an optimal portfolio and bank capital adequacy ratio under model uncertainties is a real and challenging problem to portfolio managers in the banking industry. In this paper, we investigate the problem of optimal portfolio choice of an ambiguity averse portfolio manager (AAPM) with an obligation to continuously meet her bank’s capital adequacy requirements as specified in the BASEL III banking agreement. This is carried out through a stochastic modelling approach, requiring model specification uncertainties on three categories of a bank’s balance sheet items-assets, capital and liabilities processes driven by independent Brownian motions. We prove the dynamic programming principle and derive the corresponding Hamilton-Jacobi-Bellman-Isaacs (HJBI) equations, leading to a robust capital adequacy ratio and an optimal portfolio selection. We conclude by looking at some numerical applications. AMS subject classification:
Related Party Transactions , Expropriation and Post-IPO Performance – Chinese Evidence

This study provides evidence that Chinese IPOs (Initial Public Offerings) report a sharp decline in the post-IPO operating performance relative to the pre-IPO level. We find that related party transactions (RPTs) with controlling shareholders have significant effects on IPO operating performance. We divide RPTs into two types: loan RPTs and operating RPTs (i.e. non-loan RPTs). Our findings show that the pre-IPO industry-adjusted operating performance is positively associated with the size of contemporaneous operating RPTs at the same year; moreover, controlling shareholders barely borrow funds from their IPO subsidiaries in the pre-IPO year. However, in the post-IPO period, the positive relation between IPO operating performance and contemporaneous operating RPTs (with controlling shareholders) fades away. Importantly, controlling shareholders begin to expropriate IPO subsidiaries by obtaining a large amount of cash loans with preferential terms, which is negatively associated with post-IPO industry-adjusted operating performance of listed subsidiaries. We argue that controlling shareholders structure a large percentage of operating RPTs to artificially boost revenues and/or profits of their IPO subsidiaries in the pre-IPO period. However, controlling shareholders discontinue this RPT-based earnings manipulation practice. Furthermore, controlling shareholders begin to expropriate IPO subsidiaries, primarily in return for profits and/or resources transferred into the IPO subsidiaries in the pre-IPO period. Finally, we find that state-controlled IPO firms with a highly concentrated ownership structure and a board of directors less independent from controlling shareholders are more likely to be expropriated by controlling shareholders in the post-IPO period via related loans.
The Effect of Exchange Rate Volatility on Turkey ’ s Agricultural Foreign Trade

Geliş 15 Aralık 2016 Kabul 08 Mart 2017 Bu çalışmada reel efektif döviz kurunun (RDK) ve reel efektif döviz kur oynaklığının (RDKU) Türkiye’nin tarımsal dış ticareti üzerine etkisi araştırılmıştır. Çalışmada, Türkiye’nin tarımsal dış ticaretindeki 25 önemli ülke ile 1990-2012 periyodunda panel veri analizleri kullanılmıştır. RDKU’yu elde etmek için IGARCH modeli uygulanmıştır. Bu çalışmada RDK ve RDKU Türkiye'nin tarımsal dış ticaretine etkisi, hem ülke bazında hem de panel olarak FMOLS modeli ile incelenmiştir. FMOLS modeli sonuçlarına göre; RDK’nın %1 artması durumunda Türkiye’nin tarımsal ithalatı %7,61, tarımsal ihracatın ise %2,24 artış gösterdiği tespit edilmiştir. RDKU’nun %1 artması durumunda, tarımsal ithalatın %18,83 azaldığı belirlenmiştir. Öte yandan tarımsal ihracat ve reel efektif döviz kur oynaklığı arasında anlamlı bir ilişkiye rastlanılmamıştır. Sonuç itibariyle mevcut sektörel problemler ve reel efektif döviz kuru ve oynaklığının Türkiye’nin tarımsal dış ticaretinde dengesizliğe yol açtığı söylenebilir. Tarımsal üreticiler ve sanayiciler döviz kuru oynaklığından çoğu zaman olumsuz etkilenmektedirler. Bu sebeplerden dolayı, tarımsal üretici ve sanayiciler için koruyucu tedbirlerin alınması önem arz etmektedir. Anahtar Kelimeler: Panel Veri Analizi Döviz Kuru Tarımsal Dış Ticaret Oynaklık FMOLS
Hexakis(pyridine N-oxide-κO)iron(II) tetra­phenyl­borate

The FeII cation in [Fe(C5H5NO)6](C24H20B)2 has a distorted octa­hedral coordination with the Fe—O distances in the range 2.085 (2)–2.148 (2) A. In the crystal structure the [Fe(C5H5NO)6]2+ cations and the BPh4− anions are involved in a π–π and six C—H⋯π inter­molecular inter­actions between pyridine and the phenyl rings of the counter-ions.
Intermediate W lament cytoskeleton of the liver in health and disease

Intermediate Wlaments (IFs) represent the largest cytoskeletal gene family comprising »70 genes expressed in tissue speciWc manner. In addition to scaVolding function, they form complex signaling platforms and interact with various kinases, adaptor, and apoptotic proteins. IFs are established cytoprotectants and IF variants are associated with >30 human diseases. Furthermore, IF-containing inclusion bodies are characteristic features of several neurodegenerative, muscular, and other disorders. Acidic (type I) and basic keratins (type II) build obligatory type I and type II heteropolymers and are expressed in epithelial cells. Adult hepatocytes contain K8 and K18 as their only cytoplasmic IF pair, whereas cholangiocytes express K7 and K19 in addition. K8/K18-deWcient animals exhibit a marked susceptibility to various toxic agents and Fasinduced apoptosis. In humans, K8/K18 variants predispose to development of end-stage liver disease and acute liver failure (ALF). K8/K18 variants also associate with development of liver Wbrosis in patients with chronic hepatitis C. Mallory-Denk bodies (MDBs) are protein aggregates consisting of ubiquitinated K8/K18, chaperones and sequestosome1/p62 (p62) as their major constituents. MDBs are found in various liver diseases including alcoholic and nonalcoholic steatohepatitis and can be formed in mice by feeding hepatotoxic substances griseofulvin and 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC). MDBs also arise in cell culture after transfection with K8/K18, ubiquitin, and p62. Major factors that determine MDB formation in vivo are the type of stress (with oxidative stress as a major player), the extent of stress-induced protein misfolding and resulting chaperone, proteasome and autophagy overload, keratin 8 excess, transglutaminase activation with transamidation of keratin 8 and p62 upregulation.
Crowdfunding to Overcome Liability of Outsidership: Drivers of Immigrants' Fundraising Performance

This paper examines the drivers of immigrant entrepreneurs’ fundraising performance in crowdfunding. Drawing on the immigrant entrepreneur and crowdfunding literatures, we explore the boundary conditions which allow some migrant entrepreneurs to perform better than their local-born peers. We suggest that crowdfunding, by allowing immigrant entrepreneurs to develop their own digital networks within a platform, retain their home-country networks, and lever on backers’ pro-social motivation, constitutes an attractive mechanism to finance immigrant entrepreneurs’ entrepreneurial projects. Our estimates, based on an original dataset of 2,231 Kickstarter campaigns, show that immigrant entrepreneurs attract comparatively fewer backers located in the host country, while they receive more contributions from backers located in other countries. Overall this allows immigrant entrepreneurs to achieve fundraising performances similar to those of local-born entrepreneurs. We show that entrepreneurs’ human capital and social capital developed within the crowdfunding platform positively moderate the previous relationships. Human and social capital substitute each other, so that the positive moderation of social capital developed within the platform on fundraising performances is only confirmed for low-skilled immigrant entrepreneurs.
Rapid Miner E-Commerce DANIEL HUNYADI

The aim of the present paper is to contribute to the existing pool of studies in the field of information technology, at international level, and to integrate these into economic applications. Integrating and using data mining techniques in economy opens new perspectives regarding real-time data manipulation between all decisions factors from companies, achieving new advantages for current companies also on global level, obtaining a superior economical efficiency of all production items involved in the process. Key-Words: association rules, data mining, E-commerce platform, Rapid Miner