Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel human polyomaviruses in human cancers

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Analysis of Wind Turbine Driven Permanent Magnet Synchronous Generator under Different Loading Conditions

This paper proposes the configuration of a Wind Turbine generating system equipped with Permanent Magnet Synchronous Generator (PMSG). There are different types of synchronous generators, but the PMSG is chosen which has better performance due to higher efficiency and less maintenance. Since it can be used without a gearbox also implies a reduction of the weight of the nacelle and a reduction of costs. The model includes a wind turbine model, drive train model and PMSG model. The equations that explain their behavior have been introduced. The generator model is established in the d-q synchronous rotating reference frame. The proposed Wind Turbine Generator System (WTGS) has been implemented in MATLAB/SIMULINK software. The PMSG is operating in stand-alone which is loaded with different types of loads. The simulation results indicate the ability of wind driven PMSG to operate over wide range of operating conditions at different loading conditions and show effect of different load types in operation. Keywords: Permanent Magnet Synchronous Generator (PMSG), Wind Turbine, Wind Energy and WTGS MATLAB/SIMULINK.
Integration and evaluation of aircraft power plant production and operational data

The paper focuses on identification of the limits of data collection based on data analyses in GE Aviation Czech, Ltd. to improve current system for data collection pertaining non-conforming products which are collected during the process of the product reconciliation. The paper contains a description of non-conformity product, data collection as well as their analysis and evaluation. Paper describes development of conceptual model of data integration about non-conformity products regarding aircraft power plant production and operation data, by the means of UFO upper level ontology. It shows the importance for building a system for collecting and evaluating data about non-conformity products in GE Aviation Czech, Ltd.
FOR THE DEGREE OF LICENTIATE OF ENGINEERING IN THERMO AND FLUID DYNAMICS Turbulence-droplet interaction modelled by One-Dimensional-Turbulence

A stochastic model to study droplet/particle influence on the gas phase using the OneDimensional-Turbulence model (ODT) is evaluated. To address one of the major problems for multiphase flow simulations, namely computational costs, the dimension-reduced model is used with the goal of predicting certain classes of these flows more efficiently. ODT is a stochastic model simulating turbulent flow evolution along a notional one-dimensional line of sight by applying instantaneous maps which represent the effect of individual turbulent eddies on property fields. A Lagrangian particle tracking method developed by Schmidt et al. [10] was modified and extended. For validation purposes flow configurations of turbulent particle-laden round jet were simulated with the developed model. It could be shown that the model has the capability to capture the impact of varying Stokes numbers and also different particle loadings. This shows that turbulence modulation is possible to capture with the model and it can be used for investigations of turbulent-droplet interaction at parameter ranges which are not accesible by DNS or LES simulations.
Emotional Reactivity and Regulation in Current and Remitted Depression: An Event Related Potential Study

v v Introduction 1 1 Definition of affect-related constructs 2 Does depression enhance or blunt emotional reactions? 3 Is ECI mood state dependent or trait-like? 5 Affective style and the time course of emotion 6 Examining emotional responding with ERPs 9 Emotion-modulated ERPs in healthy individuals 9 Validity of the LPP as a measure of emotional responding 13 Emotion modulated ERPs in mood-disordered individuals 14 The LPP and psychopathology 16 Influence of emotion regulation processes on emotional responding 17 Does reappraisal influence the affective LPP response? 20 The Current Study 22 22 Specific Aims 22 22 Specific aim 1a 22 Specific aim 1b 23 Specific aim 2a 23 Specific aim 2b (exploratory) 24 Method 25 25 Participants 25 Diagnostic procedure 27 Measures 28 Demographics questionnaire 28 Handedness measure 28 Diagnostic interviews 29 Symptom severity measures 30 Self-report measures of emotion regulation tendencies 30 Post-task questionnaires 31 Affective ratings 31 Materials 31 ERP Apparatus 31 Affective Stimuli 32
Comparative Study of Some New Hybrid Fuzzy Algorithms for Manipulator Control

The robot manipulator is a highly complex system, which is multi-input, multi-output, nonlinear, and time variant. Controlling such a system is a tedious and challenging task. In this paper, some new hybrid fuzzy control algorithms have been proposed for manipulator control. These hybrid fuzzy controllers consist of two parts: a fuzzy controller and a conventional or adaptive controller. The outputs of these controllers are superimposed to produce the final actuation signal based on current position and velocity errors. Simulation is used to test these controllers for different trajectories and for varying manipulator parameters. Various performance indices like the RMS error, steady state error, and maximum error are used for comparison. It is observed that the hybrid controllers perform better than only fuzzy or only conventional/adaptive controllers.
Ventilative Cooling in a School Building: Evaluation of the Measured Performances

The test lecture rooms on Katholieke Universiteit Leuven (KU Leuven) Ghent Technology Campus (Belgium) are a demonstration case of Annex 62: Ventilative Cooling of the International Energy Agency’s Energy in Buildings and Communities programme (IEA EBC). The building is cooled by natural night ventilation and indirect evaporative cooling (IEC). Thermal comfort and the performances of ventilative cooling are evaluated. Long-term measurements of internal temperatures, occupancy, opening of windows and IEC were carried out in the cooling season of 2017. The airflow rates through the windows in cross- and single-sided ventilation mode were measured by both tracer gas concentration decay and air velocity measurements. In addition, the air flow pattern is visualized by measuring air temperatures in the room. The results show that good thermal summer comfort was measured except during heat waves and/or periods with high occupancy. Both nighttime ventilation and IEC operate very well. IEC can lower the supply temperature by day significantly compared to the outdoor temperature. The Air Changes Rates (ACR) of the night ventilation greatly depends on wind direction and velocity. The air temperature profile showed that the air is cooled down in the whole lecture but more in the upper zone. The extensive data monitoring system was important to detect malfunctions and to optimize the whole building performance.
Inside Debt and Economic Growth: A Cambridge - Kaleckian Analysis

Inside debt is a fundamental feature of capitalist economies. This paper examines the growth effects of consumer and corporate debt using a Cambridge - Kaleckian growth framework. According to the Cambridge - Kaleckian model inside debt has an ambiguous effect on growth. This is counter to the intuition of static short-run macro models in which higher debt levels lower economic activity and shows intuitions derived from short run macroeconomics do not always carry over to growth theory. Growth is faster in endogenous money economies than in pure credit economies, ceteris paribus. That is because lending in endogenous money economies creates money wealth that increases spending and lowers saving. Interest payments from debtors to creditors are a critical channel whereby debt affects growth. In the consumer debt model this interest transfer mechanism exerts a negative influence on growth. However, in the corporate debt model the transfer can raise growth if the marginal propensity to consume of creditor households exceeds the marginal propensity to invest of firms.
Utilizing Instant Messaging for Real-Time Notification and Information Retrieval of Snort Intrusion Detection System

Intrusion Detection System Snort Real time Notification Instant Messaging Command Line Interface ABSTRACT Snort is widely used Intrusion Detection System (IDS) software for detecting security incidents on the network. The Snort alerts are stored in a database that can be accessed by additional interfaces such as BASE web application. That architecture should be checked periodically to avoid missing an attack. However it is possible, an attack known sometime after the event so that the response may be too late to do. This research aims to build a cheap and reliable solution for Snort reporting system that provides notification of Snort alerts in a real time manner which can be accessed mobile. We utilize an instant messaging application to alert the user and as a command line interface (CLI) that enables user to obtain detail information of each alert sent by the server. Experiment results show that the system is able to send notifications to the user within an acceptable delay interval of 0.87 seconds, on average.
Testing the Validity of the Model

2 Preface . 3 List of Figures . 6 List of Tables . 6 Introduction . 7 1. The Evolution of the Theoretical Approaches to Foreign Direct Investment . 9 1.1 The Economic Expansion and Limitations of the Neoclassical Theory . 9 1.2 The Capital Theory – 1950s . 10 1.3 The Market Imperfections Theory – 1960 . 10 1.4 The Product Cycle Theory – 1966 . 11 1.5 The Internalization Theory – 1976 . 12 2. The Model of Investment Development Path . 13 2.1 OLI Foundation . 13 2.2 IDP – The Mathematical Representation . 14 2.3 Five Stages of the IDP . 17 3. Review of the Empirical Literature . 19 3.1 Limitations and Revisions of the Original IDP . 20 3.2 Competing Models and Extensions of the IDP . 21 4. Empirical Analysis of the IDP Model’s Validity in the Time Period 1990-2014 . 25 4.1 Research Hypotheses . 25 4.2 Data . 28 4.2.1 Business Environment Variables . 29 4.2.2 Socio-Economic Development Variables . 30 4.2.3 Institutions and Openness Variables . 31
ell viability assessment by flow cytometry using yeast as cell model

This paper reports the new combination of cell sorting and counting capabilities on a single device. Most state-of-the-art devices combining these technologies use optical techniques requiring complicated experimental setups and labeled samples. The use of a label-free, electrical device significantly decreases the system complexity and makes it more appropriate for use in point-of-care diagnostics. Living and dead yeast cells are separated by dielectrophoretic forces and counted using coulter counters. ell counting ielectrophoresis mpedance measurements abel-free iability study The combination of these two methods allows the determination of the percentage of living and dead cells for viability studies of cell samples. The device could further be used for sorting and counting of blood cells in applications such as diagnosis of insufficient cell concentrations, identification of cell deficiencies or bacterial contamination. The use of dielectrophoresis (DEP) as sorting principle allows to separate cells based on their dielectric properties in the place of size-based separation, enabling sorting of large panels infec of cells and separation of
How Do Lenders Price Energy Efficiency? Evidence From Personal Consumption Loans

At least ex ante, energy efficiency improvements increase investor’s solvency. Associated loans should therefore carry lower interest rates than do otherwise conventional loans. We test this hypothesis using unique weekly panel data on posted interest rates scraped from loan simulators made available online by French credit institutions during 2015-2016. On average, we find that lenders charged a green premium in 2015 but offered a green discount in 2016. We also find that, absent green attributes, interest rates are higher for home retrofit loans than for vehicle loans, which suggests that lenders use the loan purpose as a screening device of unobserved borrower characteristics. Our results together imply that loans for home energy renovation were consistently charged relatively high interest rates, with adverse consequences for scaling up home energy renovation.
Accelerating 3D printing for surface wettability research

The wettability of a surface is affected by its physical and chemical properties, but it can be modulated by patterning it. Researchers use many different techniques for surface patterning, each one with different tradeoffs in terms of cost, flexibility, convenience and realizable geometries. Very high-resolution 3D printing technologies (such as stereolithography by two-photon absorption) have the potential to greatly increase the range of realizable surface geometries, but they are currently not in wide use because they are too slow for printing the relative large surface areas required for wetting experiments. To enable the use of these 3D techniques, we are developing new slicing algorithms able to speed up 3D-printing technologies.
Diffuse Interstitial Myocardial Fibrosis by T1 Myocardial Mapping: Review

Diffuse interstitial myocardial fibrosis has been described in various cardiac pathologies. Late gadolinium enhancement by cardiac magnetic resonance can detect the presence of focal myocardial fibrosis, but is limited for the assessment of diffuse interstitial fibrosis. T1 myocardial mapping is a noninvasive imaging technique which enables visualization and quantification of diffuse interstitial myocardial fibrosis. In this article, we review the T1 mapping technique and its utility in various cardiovascular disorders associated with presence of diffuse interstitial fibrosis.
Dependence of entanglement on initial states under amplitude damping channel

Under amplitude damping channel, we investigate the dependence of the entanglement on the initial states $|\Theta>_{1}$ and $|\Theta>_{2}$, which reduce to four orthogonal Bell states if we take the parameter of states $\alpha=\pm 1/\sqrt{2}$. We find that the entanglements for different initial states will decay along different curves even with the same acceleration and parameter of the states. We note that, in an inertial frame, the sudden death of the entanglement for $|\Theta>_{1}$ will occur if $\alpha>1/\sqrt{2}$, while it will not take place for $|\Theta>_{2}$ for any $\alpha$. We also show that the possible range of the sudden death of the entanglement for $|\Theta>_{1}$ is larger than that for $|\Theta>_{2}$.
Interactive comment on “ A new method for determination of Most Likely Initiation Points and the evaluation of Digital Terrain Model scale in terrain stability mapping ” by P . Tarolli and

The paper concerns the prediction of most likely initiation points of shallow landslides by using SINMAP and its stability index. The authors aim to validate their approach by applying it on a specific area and to evaluate the effectiveness of the method also with respect to the resolution of the topographic data (LIDAR) Following the development of the manuscript the first observation that can be done is relative to the partial review of the literature concerning this specific subject. Very few references are cited and mostly relative to the same type of approach proposed by the authors. No mention is made to other papers presented in the literature concerning the same type of problems but
Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA)

English. IronITA is a new shared task in the EVALITA 2018 evaluation campaign, focused on the automatic classification of irony in Italian texts from Twitter. It includes two tasks: 1) irony detection and 2) detection of different types of irony, with a special focus on sarcasm identification. We received 17 submissions for the first task and 7 submissions for the second task from 7 teams. Italiano. IronITA è un nuovo esercizio di valutazione della campagna di valutazione EVALITA 2018, specificamente dedicato alla classificazione automatica dell’ironia presente in testi estratti da Twitter. Comprende due task: 1) riconoscimento dell’ironia e 2) riconoscimento di diversi tipi di ironia, con particolare attenzione all’identificazione del sarcasmo. Abbiamo ricevuto 17 sottomissioni per il primo task e 7 per il secondo, da parte di 7 gruppi partecipanti.
Optimized Map Reduce Based Shuffling Mechanism for Density Clustering

Most international organizations produce more information in a week than many people could read in a lifetime. Everyday hundreds of megabytes of data are distributed around the world, but it is no longer possible to monitor this increasingly rapid development – the growth is nearly exponential. So the basic problems with the management of the data are its high Dimensionality. Dimensionality reduction can also be seen as the process of deriving a set of degrees of freedom which can be used to reproduce most of the unpredictability. This work is about Dimensionality Reduction, which in turn is about converting data of very high dimensionality into data of much lower dimensionality such that each of the lower dimensions conveys much more information.
The Creation of the Chain-Link Fence Model

There is much known about logical ways of implementing security measures in an organization. Anecdotal evidence shows that few organizations implement a full suite of measures. This study used a single case to identify problems with a logical implementation. A framework was developed using the literature and these identified problems. The framework was then tested through interviews of experienced professionals.
Post-harvest impact of cassava brown streak disease in four countries in eastern Africa

Cassava brown streak disease (CBSD) is endemic to the coast of East Africa and the disease continues to spread to new areas in the Great Lakes region. In both these areas CBSD leaf symptoms occur at high incidences. However, it is the associated symptom of necrosis in the starch-bearing tissues that renders the root unfit for human consumption. Where root necrosis occurs, the economic viability of processing into flour is adversely affected. Surveys undertaken in Tanzania, Kenya, Uganda, and Malawi showed that CBSD leaf symptoms were present at high incidences but root necrosis incidence was lower than would be expected. It appears that a form of tolerance to CBSD occurs in which the plants are susceptible to infection by the virus but are less affected by the root symptom. Farmers practise selection for cassava varieties less prone to CBSD root necrosis leading to dependence on a decreasing number of varieties.
Different Strategies for Rapid Prototyping of Digital Bas-Reliefs

In the last decades several computer-based procedures have been devised with the aim of speeding up the 3D reconstruction from a single image in the form of bas-relief. At the same time, the use of rapid prototyping (RP) technology considerably spread enabling quick manufacture of 3D products directly from 3D modelling systems. The present paper presents a few consideration about different possible strategies for bas-reliefs manufacturing by using the main RP techniques (stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM) and Polyjet/Multi-jet technology). A practical example is used for discussing pros and cons of the different alternatives.
Mesozooplankton community structure during summer months in the bay of Cádiz

Mesozooplankton organisms (>250 μm) were sampled at two stations (inner and outer Bay) in the Bay of Cadiz between May and July 2008. Samples were analysed by means of a semi-automated technique in order to give a preliminary view of the mesoozooplankton community structure in the Bay, based on taxonomic diversity and biomass distribution among size classes. The abundance of organisms increased from May to July in accordance with the increase in temperature and Chlorophyll a (Chla) concentrations. Abundances were higher in the outer Bay station, where Chla concentrations are greater and the water column is more stable. The community changed from being meroplankton- to holoplankton-based due to an increase of Calanoida and especially Cladocera individuals (mainly Penilia avirostris), which are known to peak acutely in the summer. The analysis of Normalised Biomass-Size spectra revealed fairly steep slopes (average -1.3) and relatively high departures from steady state (r2 = 0.8 – 0.94), expectable in a coastal system such as the Bay of Cadiz were disturbance factors are introduced from benthic and tidal processes, together with anthropogenic pressure.
Plagiarism Detection System for the Kurdish Language

—One of the serious issues is plagiarism, especially in the education field. Detecting the plagiarism became a challenging task, particularly in natural language texts. In the past years, some plagiarism detection tools have been developed for diverse natural languages, mainly English. Language-independent tools exist as well but are considered as too restrictive as they usually do not consider specific language features. The problem is there is no plagiarism Detection system for the Kurdish language. In this paper, we introduce a new system for plagiarism detection for Kurdish Language, based on n-gram algorithm, our system can detect the word, phrases, and paragraphs. Moreover, our system effectiveness for detect plagiarist texts in localhost and online especially in Google search engine. This system is more useful for the academic organizations such as schools, institutes, and universities for finding copied texts from another document.
The Experimental Study on Promoting the Ilizarov Distraction Osteogenesis by the Injection of Liquid Alg/nHAC Biocomposites

Limb lengthening is frequently utilized in treating limb length inequalities, angulation deformities, nonunions, complex fractures, and deficiencies after tumor resection in more recent year. The procedure of limb lengthening pioneered by Ilizarov is now a widely accepted method for correcting limb length inequality and short stature as well as for bridging large defects in long bones. In order to promote bone healing during distraction osteogenesis and reduce the complications caused by limb lengthening pioneered, an alginate/nanohydroxyapatite/collagen (Alg/nHAC) composite was fabricated. General observation, histologically morphological observations, X-ray examination, biomechanical test, bone density, and the percentage area of bone trabecula were used to assay the ability of Alg/nHAC composite to promote bone healing. The present study demonstrates that the injection of liquid Alg/nHAC composites can significantly promote distraction osteogenesis. Alg/nHAC composite is promising for clinical application, solving the healing problem of backbone osteotomy and the fixing problem of metaphyseal backbone.