Miracle-dz/UniFAR-FTUs huggingface dataset:
Secured information exchange in cloud using cross breed property based encryption

Individuals have the ability to get to the web anyplace and whenever. Distributed computing is an idea that treats the assets on the Internet as a brought together element, to be specific cloud. The server farm administrators virtualized the assets as per the necessities of the clients and uncover them as capacity pools, which the clients can themselves use to store documents or information protest s. Physically, the assets may get put away over numerous servers. Thus, Data heartiness is a noteworthy prerequisite for such stockpiling frameworks. In this paper we have proposed one approach to give information power that is by imitating the message with the end goal that every capacity server stores a duplicate of the message. We have improved the safe distributed storage framework by utilizing a limit intermediary re-encryption strategy. This encryption conspire bolsters decentralized deletion codes connected over scrambled messages and information sending operations over encoded and encoded messages. Our framework is exceedingly dispersed where every capacity server freely encodes and forward messages and key servers autonomously perform incomplete decoding.
On the contribution of ERPs to the study of language comprehension

La comprehension du langage necessite l’integration de nombreuses informations a differents niveaux linguistiques. Grâce a une des technique d’imagerie cerebrale, les potentiels evoques (ou ERPs, pour Event-related potentials) il est possible d’evaluer comment et quand les lecteurs utilisent les informations linguistiques lors de l’interpretation d’une phrase. Apres une introduction a la technique des ERPs et une revue de la litterature sur les composantes sensibles au processus linguistique (la N400, la ELAN et la P600) nous discutons d’un point de vue methodologique les analyses realisees sur ce type de donnees, analyses en terme de composantes et analyses en terme de topographie. Pour finir nous presentons une analyse preliminaire sur la comprehension du langage lors de la presentation de violation semantique et syntaxique. Les resultats sont analyses a l’aide de la methode de segmentation en microetat des ERPs et sont visualises en terme de carte topographique des composantes. Understanding the relation between brain structure and brain function constitutes a major objective of neuropsychology. Although research on this relation in the area of language has been pursued for more than a century, progress has been relatively slow in part due to our ignorance of the biochemical and physiological properties of the brain. Moreover, for obvious ethical reasons, the investigation of the representation of language and its processing in the brain has until recently been limited largely to inferences made from the observations of abnormal behavior in aphasic patients. This approach of correlating the location and the size of lesions in postmortem analyses with observed behavioral patterns has contributed substantially to our understanding of the relation of language processing and brain, but clearly has its limits. These relate to the variability in this relation across patients and the adaptability of the system after damage, both of which complicate drawing conclusions about normal functioning. The introduction in the early 1970's of powerful non-invasive brain monitoring techniques has dramatically modified our approach to these problems. It has allowed us to collect large amounts of novel data about how our
A neural network model of the attentional blink phenomenon

The Attentional Blink refers to the finding that the perception of a target stimulus is often impaired when it is presented within a temporal window of 200-500 ms following another successfully-perceived stimulus. This interesting phenomenon has attracted much research in the fields of attention and perception but has also inspired the implementation of several computational models. In the present study we have implemented a model of selective attention that is capable of modelling a variety of findings related to the Attentional Blink. Importantly, the model produces synchronization of neural activity to simulate the interaction between a low-level visual system and a high-level goal-maintenance system during the deployment of attention. Synchronization of neural activity within and across brain areas is typically observed when carrying out various tasks that involve the attentional processing of information. Thus, the model provides a neurally and computationally plausible account for the Attentional Blink and potentially other attentional tasks.
Cannibalism in omnivorous calanoid copepods

During a study on population dynamics of copepods in the southern North Sea some semiin-situ experiments were performed on predation by adult copepods on CO-occurring nauplii. In a period with a strong decline in naupliar abundance, experimental naupliar mortality by cannibalism amounted to 35% of the standing stock per day. Simultaneous observations on chlorophyll a and &atom concentrations in situ and on egg production by adult females suggested poor food conditions for adults. There appeared to be a tendency for increased predatory behaviour in the absence of other food, indicating the possible importance of cannibalism as a factor in naupliar mortality. Microscopic observations and a series of experiments on laboratory cultured Temora longicornis revealed adult female predation on stages N I through N V. Rates of capture declined with ascending developmental prey stage. Prey-specific predation rates increased continuously with prey density, but were significantly depressed m the presence of alternative algal food. Estimates of naupliar mortality in situ due only to cannibalism, based on experimentally determined predation rates, explained 5 to over 100 % of the estimated total naupliar mortality. It is suggested that cannibalism may act as a major factor in naupliar mortality and may contribute significantly to a rapid fall in naupliar densities in periods of algal food shortage.
A text mining framework for Big Data

Text Mining is the ability to generate knowledge (insight) from text. This is a challenging task, especially when the target text databases are very large. Big Data has attracted much attention lately, both from academia and industry. A number of distributed databases, search engines and frameworks have been developed to handle the memory and time constraints, which are required to process a large amount of data. However, there is no open-source end-to-end framework that can combinenearreal-timeandbatchprocessingofingestedbigtextualdataalongwith user-deﬁned options and provision of speciﬁc, reliable insight from the data. This is important as this way new unstructured information is made accessible in near real-time, more personalised customer products can be created and novel unusual patterns can be found and actioned on quickly. This work focuses on a proprietary complete near real-time automated classiﬁcation framework for unstructured data with the use of Natural Language Processing and Machine Learning algorithms on Apache Spark. The evaluation of our framework shows that it achieves a comparable accuracy with respect to some of the best approaches presented in the literature.
Exploring organizational crises from a legitimation perspective: Results from a computer simulation and illustrative cases

Organizational crises are rare, yet they fundamentally influence the evolution of organizations. An aspect of crises deserving more attention is the interaction of organizations and their stakeholders during a crisis from a legitimation perspective. This paper presents a simulation model mapping causal relationships behind this interaction. Results suggest that the nature and timing of organizational response to crises has considerable effect on the success and duration of attempts of regaining organizational legitimacy after a threatening event. Illustrative case studies demonstrate how several organizations have been (un-)successful in overcoming individual crises with respect to these influences.
Effects of municipal mergers on voter turnout

ABSTRACT We study the effects of municipal mergers on voter turnout in a difference-in-differences framework, using data from a wave of municipal mergers in Finland in 2009. Analysing two pre-merger elections and three post-merger elections, spanning a total of 17 years, we find that municipal mergers decrease voter turnout by 4 percentage points in the long run in the relatively small municipalities compared to similar small municipalities that did not merge. As the average turnout rate prior to merging in this group was around 69%, this is a substantial effect. We also find that virtually nothing happens to turnout in the municipalities that were relatively large within their merger. Furthermore, mergers are associated with a decrease in voters’ political efficacy and turnout decreases more in those municipalities that experience larger decreases in efficacy.
Type D (Distressed) Personality in Lithuanian Patients with Coronary Artery Disease: A Dataset

A B S T R A C T In recent years, Type D (distressed) personality was introduced as a vulnerability factor for general psychological distress in patients with coronary artery disease. The 14-item Type D personality Scale (DS14) was specifically developed to assess negative affectivity and social inhibition, and currently is the most widely used instrument to identify patients with a Type D profile. The goals of this study were to examine: (1) the validity of the Type D construct and its assessment with the DS14 in Lithuania; (2) the prevalence of Type D personality in Lithuanian patients with coronary artery disease; and (3) the association of Type D personality with an increased vulnerability for anxiety and depression in these patients. Here we present a dataset from prospective observational cohort study of 543 consecutive patients (388 men and 155 women; mean age 58 ± 9 years) diagnosed with coronary artery disease and attending a rehabilitation program. The dataset includes socio-demographic and clinical characteristics, assessment of Type D personality, assessment of symptoms of anxiety and depression and assessment of Big-Five personality traits.
Investigative Modeling and Spatial Analysis A commentary on directions

Architectural Morphology: Investigative modeling and spatial analysis. Research workshop, KTH School of Architecture, May 14 2013. Ed. Daniel Koch, Pablo Miranda Carranza. The workshop is part of the project RIBS that has received funding from the European Union Seventh Framework Programme (FP7/20072013) under grant agreement number 242497. © Copyright by the authors, this specific layout the authors and KTH respectively. Investigative Modeling and Spatial Analysis A commentary on directions
Who is a dangerous driver? Socio-demographic and personal determinants of risky traffic behavior

background The aim of this study was to search for comprehensive socio-demographic and personal (personality and temperamental) determinants of risky on-the-road behavior. Based on the results of previous studies, we assumed that the main predictors of dangerous traffic behavior include: internal locus of control, sensation seeking, risk seeking and risk acceptance, as well as high self-esteem, a low level of reactivity combined with a high level of endurance and activity (which together determine a strong need for stimulation and a preference for hedonistic values); and among socio-demographic variables – age, gender, education and duration of having a driving license.
Convergence Clubs Beyond GDP: A Non-Parametric Density Approach

In the study of convergence in living standards across countries, per-capita Gross Domestic Product (GDP) has been usually used as a proxy for the measurement of national well-being. However, other important welfare aspects––beyond GDP––should also be considered. This paper revisits the cross-country convergence hypothesis in a context beyond GDP. It focuses on a novel welfare index [Jones and Klenow (2016), American Economic Review, 106(9)] that incorporates measures of consumption, leisure, life expectancy, and inequality. Based on a sample of 128 countries over the 1980-2007 period, the paper first documents the lack of overall sigma and (absolute) beta convergence. Next, through the lens of a stochastic kernel density and a clustering algorithm, it documents the formation of three convergence clubs. Under this classification, the beta convergence coefficient is recovered for each club. However, only the core members of the richest club appear to be reducing their welfare differences in a way that is consistent with the strong notion of sigma convergence. Overall, these results re-emphasize the finding that beta convergence is necessary but not sufficient for sigma convergence––even within convergence clubs and in a context beyond GDP.
Amyloodinium ocellatum infestation in the broodstock of silver pompano Trachinotus blochii (Lacepede, 1801) and its therapeutic control

A case of amyloodiniosis caused by infestation of the dinoflagellate Amyloodinium ocellatum in the silver pompano ( Trachinotus blochii ) maintained for broodstock development is reported. Grossly, erosion of the operculum and excessive secretion of mucus on gills was observed. Microscopic examination of gill filaments showed the presence of trophonts. Histopathologically, gills showed erosion and necrosis of the primary and secondary lamellae. The causative organism A. ocellatum was identified based on the clinical signs as well as gross and microscopic examinations. Among many treatment methods tested, dip treatment with chloroquine phosphate (500 mg per 100 l of water) or with low saline water mixed with Oodinol 1000 were found useful in healthy maintenance of silver pompano broodstock.
Behavior of Self-assembled Mn(III)/Mn(II)-NEt3 Conjugate on Different Support Observed by AFM-SNOM

Et3N (Mn-triethylamine) complex conjugated with binuclear Mn-hydroxide, Mn2(OH)3Cl and similar manganese complex with Et2NH (diethylamine) self-assembled in aqueous solutions have been investigated by simultaneous AFM (atomic force microscopy) and SNOM (scanning near-field optical microscopy) in thin layers prepared on mica and PET (polyethylene terephthalate). The size of the particles after crystallization of the precipitated former conjugate was controlled with XRD (X-ray diffraction). It is found that the conjugate self-assembling produces the smallest grains with the diameter of 65 ± 7.5 nm measured at contact with the support. This particle size matches the crystallite size of 44.2 nm found by XRD for the conjugate taking into account the particles deformation under the contact with the support. The self-assembly of the smallest particles in solution has produced non-transparent for light core observed on mica with the size varied between 300 to 400 nm. The latter occurs due to hydrophobic interactions since no core of the former conjugate has been found on hydrophobic PET surface. No submicroscopic core is also found in the case of similar conjugate with Mn-Et2NH complex on PET film and mica both.
Dark matter annihilation and decay in dwarf spheroidal galaxies: the classical and ultrafaint dSphs

Dwarf spheroidal (dSph) galaxies are prime targets for present and future gamma-ray telescopes hunting for indirect signals of particle dark matter. The interpretation of the data requires careful assessment of their dark matter content in order to derive robust constraints on candidate relic particles. Here, we use an optimised spherical Jeans analysis to reconstruct the `astrophysical factor' for both annihilating and decaying dark matter in 21 known dSphs. Improvements with respect to previous works are: (i) the use of more flexible luminosity and anisotropy profiles to minimise biases, (ii) the use of weak priors tailored on extensive sets of contamination-free mock data to improve the confidence intervals, (iii) systematic cross-checks of binned and unbinned analyses on mock and real data, and (iv) the use of mock data including stellar contamination to test the impact on reconstructed signals. Our analysis provides updated values for the dark matter content of 8 `classical' and 13 `ultrafaint' dSphs, with the quoted uncertainties directly linked to the sample size; the more flexible parametrisation we use results in changes compared to previous calculations. This translates into our ranking of potentially-brightest and most robust targets---viz., Ursa Minor, Draco, Sculptor---, and of the more promising, but uncertain targets---viz., Ursa Major 2, Coma---for annihilating dark matter. Our analysis of Segue 1 is extremely sensitive to whether we include or exclude a few marginal member stars, making this target one of the most uncertain. Our analysis illustrates challenges that will need to be addressed when inferring the dark matter content of new `ultrafaint' satellites that are beginning to be discovered in southern sky surveys.
Topological Zak phase in strongly coupled LC circuits

We show the emergence of topological Bogoliubov bosonic excitations in the relatively strong coupling limit of an LC (inductance-capacitance) one-dimensional quantum circuit. This dimerized chain model reveals a ${\cal Z}_2$ local symmetry as a result of the counter-rotating wave (pairing) terms. The topology is protected by the sub-lattice symmetry, represented by an anti-unitary transformation. We present a methos to measure the winding of the topological Zak phase across the Brillouin zone by a reflection measurement of (microwave) light. Our method probes bulk quantities and can be implemented even in small systems. We study the robustness of edge modes towards disorder.
Mind the Gap: The Difference between U.S. and European Loan Rates

We analyze differences in the pricing of syndicated loans between U.S. and European loans. For credit lines, U.S. borrowers pay significantly higher spreads, but also lower fees, resulting in similar total costs of borrowing in both markets. For term loans, U.S. firms pay significantly higher spreads. While European firms across the rating spectrum issue terms loans, only low quality U.S. firms rely on term loans. U.S. issuers perform worse after loan origination compared to European issuers, which explains 30% of the spread differential. Increasing loan supply by institutional lenders in the U.S. since 2003 eventually fully removed the term loan pricing gap.
Designing an Orthotic Insole by Using Kinect® XBOX Gaming Sensor Scanner and Computer Aided Engineering Software

Healthcare and medical is one of the most expensive field in the modern world. In order to fulfil medical requirement, this study aimed to design an orthotic insole by using Kinect Xbox Gaming Sensor Scanner and CAE softwares. The accuracy of the Kinect® XBOX 360 gaming sensor is capable of producing 3D reconstructed geometry with the maximum and minimum error of 3.78% (2.78mm) and 1.74% (0.46mm) respectively. The orthotic insole design process had been done by using Autodesk Meshmixer 2.6 and Solidworks 2014 software. Functionality of the orthotic insole designed was capable of reducing foot pressure especially in the metatarsal area. Overall, the proposed method was proved to be highly potential in the design of the insole where it promises low cost, less time consuming, and efficiency in regards that the Kinect® XBOX 360 device promised low price compared to other digital 3D scanner since the software needed to run the device can be downloaded for free.
Using psychometric data from the stated preference (SP) experiments to search explanatory power for appropriateness of congestion charging policy

Comprehensive stated preference (SP) experiment was conducted in Jakarta (a capital of Indonesia), where proposal for congestion charge (CC) has been considered as a way to reduce acute traffic congestion. With the government planning a CC scheme, public support is regarded as a prerequisite for its implementation. Therefore, a framework of structural equation model (SEM) is used to search explanatory power for the appropriateness of CC considering unobserved variable (latent variable) from psychometric data obtained from SP questionare. Causal paths among psychological determinants and their strength are measured and analyzed along with proposal acceptability from a psychological perspective. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the acceptability of the proposed scheme. The findings from analysis with a SEM approach shows that a number of psychological determinants provide an explanation for the appropriateness of the proposed scheme. Latent variables representing the validity of the CC scheme, such as ACE, APC and REC appear to have a significant explanation. These emerge as psychological determinants contributing a positive correlation with enhancement of appropriateness CC policy. Empirical result further shows that males have positive scores for the latent variables of car dependency (CDC) and inhibition freedom of movement (IFM). Furthermore, the variable of annual income, it has a positive correlation with recognition of the effects of CC in mitigating congestion and environmental problems (REC), car dependency (CDC) and awareness of the problems of cars in society (APC). This means that respondents with higher incomes are more concerned with the problems manifested by motorization while, on the contrary, the path coefficient between annual income (AI) and car dependency (CDC) has a value of 0.270. This discloses an automobile dependency. These findings should provide insight that designing a more acceptable policy in respecting to the acceptance of public in large.
Top Management Team Diversity, Quality Decisions and Organizational Performance in the Service Industry

Some past studies have found that the characteristics of the Top Management Team influence the performance of organizations while others have found that they do not. This study, which is founded on the Upper Echelon Theory, investigated the relationship between TMT diversity, quality decisions and organization performance. The study sought to find out the effect of TMT diversity and quality decisions in the performance of commercial banks in Kenya. The study found that quality decisions had a significant effect on the internal business processes and learning and growth perspectives of the balanced scorecard. The study sought to find the intervening effect of the quality decisions and the moderating effect of involvement culture and diversity management strategies. The study found that the two moderating variables had a significant effect on the relationship between TMT diversity and quality decisions and TMT diversity and organization performance.
Stereocontrol of Methyl Methacrylate during Photoinduced Nitroxide-Mediated Polymerization in the Presence of Photosensitive Alkoxyamine

Photosensitive alkoxyamine 2,2,6,6-tetramethyl-1-(1-phenylethoxy)piperidin-4-yl quinoline-2-carboxylate (PE-TEMPO-Q) was synthesized. Photochemical properties of PE-TEMPO-Q were studied to develop photoinduced nitroxide-mediated polymerization of methyl methacrylate (MMA). Rapid and facile polymerization at ambient temperature with PE-TEMPO-Q as an initiator was confirmed to proceed in a controlled mechanism based on the linear growth in molecular weight combined with relative narrow polydispersity index (1.4–1.8) of the resulting polymers. The stereochemistry of obtained polymers was also investigated, and the syndiotacticity slightly increased compared with the typical photopolymerization. Dual-controlled photopolymerization of MMA was achieved in the presence of synthesized alkoxyamine.