Miracle-dz/UniFAR-FTUs huggingface dataset:
Colour gamut enhancement with remote light conversion mechanism

The backlight unit spectrum of liquid crystal displays (LCD) directly affects the colour gamut. With the invention of GaN based blue light emitting diodes (LED), phosphors and quantum dots (QD) have gained considerable scientific interest due to their broad range of applications especially in lighting and display technologies. These phosphors and QDs are used to convert the blue light of the LEDs into white in general lighting. On the other hand, in display systems, they are used to generate red and green bands. There are different application methods such as on-chip and remote configurations. In this study, we concentrate on remote phosphor and QD backlight configurations where the light conversion is done away from the chips. In our display designs, we used GaN based blue LED lateral chips as an excitation source, on the other hand, light conversion layers were placed in backlight units as a thin film for the emission of green and red bands. The mixing ratios of these composite layers were arranged to match the emission spectrum of the blue LEDs and the light conversion layer to the colour filters of the LCD, so that the green, blue, and red bands efficiently widens the colour space. The results were also compared with the on-chip phosphor arrangements.
How Progressive is the Czech Pension Security

The aim of the paper is to examine the progressivity of the pension security in the Czech Republic using an intragenerational longitudinal approach. Since there is no available Czech panel data we modelled pseudo-panel data on lifetime earnings of employees on the basis of real crosssectional data. Then the present values of lifetime contributions paid to and lifetime pensions received from the system were derived from the simulated lifetime earnings. The analysis revealed that the Czech pension security redistributes the funds from the higher-income participants to the lower-income ones and from men to women. Furthermore the Gini coefficients confirmed that the scheme reduces income inequality. The results proved that the solidarity principle built in the pension formula prevails over the benefit principle, which is also present in the formula, when the benefit component is relatively more favourable for the rich employees because of the shape of the lifetime earnings function.
Fiscal Multipliers in the Euro Area

Por medio de un modelo VAR estructural lineal estandar, se analiza lamagnitud y el signo de los multiplicadores fiscales para la zona euro,utilizando una base de datos trimestrales de variables fiscales para el periodo1981-2007 recientemente disponible. Desde una perspectiva politica, elanalisis de los multiplicadores fiscales en "tiempos normales" proporcionainformacion detallada sobre el impacto tanto de medidas de estimulo fiscal ymedidas de consolidacion fiscal, a condicion de que los periodos "buenos" y"malos" sean en promedio similares. Palabras clave: Area Euro; SVAR; Shocks Fiscales; Multiplicadores Fiscales Clasificacion JEL: E62; H30 Abstract In a standard linear structural VAR framework we analyse the size and signof fi scal multipliers in the euro area, using a newly available quarterly datasetof fi scal variables for the period 1981-2007. From a policy perspective,the analysis of fi scal multipliers in “average times” provides insights on theimpact of both fi scal stimulus and fi scal consolidation measures, provided“good” and “bad” times are on average similar. Key words: Euro area; SVAR; Fiscal Shocks; Fiscal multipliers JEL Classification: E62; H30
DBSCAN Algorithm Based on Platform Of AI ( PAI )

We present PS-DBSCAN, a communication ecient parallel DBSCAN algorithm that combines the disjoint-set data structure and Parameter Server framework in Platform of AI (PAI). Since data points within the same cluster may be distributed over dierent workers which result in several disjoint-sets, merging them incurs large communication costs. In our algorithm, we employ a fast global union approach to union the disjoint-sets to alleviate the communication burden. Experiments over the datasets of dierent scales demonstrate that PS-DBSCAN outperforms the PDSDBSCAN with 2-10 times speedup on communication eciency. We have released our PS-DBSCAN in an algorithm platform called Platform of AI (PAI) 1 in Alibaba Cloud. We have also demonstrated how to use the method in PAI.
CFD analysis of air turbines as power take-off systems in oscillating water column wave energy conversion plant

This paper presents the results of CFD simulations of reversing flow air turbines used as the power takeoff system in Oscillating Water Column (OWC) Wave Energy Conversion (WEC) plant. One of the simpler tools to analyse such turbines is the blade element/actuator disc methodology. This requires the input of “interference factors” to model how the lift and drag characteristics of the cascade of blades on the turbine rotor are related to those of a single isolated aerofoil. In the first part of the paper, CFD modelling to obtain the lift and drag characteristics of various aerofoils arranged in linear cascades at different stagger angles is described. The CFD cascade lift and drag data are compared with reported experimental cascade aerodynamic data. The agreement within the range of usable stagger angles is excellent in the pre-stall range with some deviations shown in the post-stall. A comparison is also made between our 2D CFD interference factors and those previously reported by Weinig and others who used analytical, inviscid flow theory. It is found that the Weinig inviscid flow theory provides a reasonable prediction of the lift interference factor providing that both the angle of attack is relatively low and that the thickness of the blades is relatively small compared to the distance between blades. In the second part of the paper, threedimensional simulations of a Wells air turbine rotor using CFD unstructured and structured grid designs are described. The results of the three-dimensional CFD simulations were then compared with those from our non-dimensional blade element model incorporating the linear cascade aerodynamic data described in the first part of the paper. The two sets of results are compared in terms of torque coefficient and pressure coefficient.
Dynamic structure factor in impurity-doped spin chains

The effects of impurities in spin-1/2 Heisenberg chains are recently experiencing a renewed interest due to experimental realizations in solid state systems and ultra-cold gases. The impurities effectively cut the chains into finite segments with a discrete spectrum and characteristic correlations, which have a distinct effect on the dynamic structure factor. Using bosonization and the numerical Density Matrix Renormalization Group we provide detailed quantitative predictions for the momentum and energy resolved structure factor in doped systems. Due to the impurities, spectral weight is shifted away from the antiferromagnetic wave-vector $k=\pi$ into regions which normally have no spectral weight in the thermodynamic limit. The effect can be quantitatively described in terms of scaling functions, which are derived from a recurrence relation based on bosonization.
Design of a multi-channel streaming video server for surveillance systems

In the video surveillance market, digital video recorders (DVRs) are available for some time. DVRs store video from multiple video channels (cameras) and offer remote display of recorded and live video over a network connection. There is a shift from still-image based video compression towards compression methods that exploit the temporal relation of video (e.g. as addressed by the MPEG standards). Because of the temporal relationship of the compressed video frames, scalability in bit-rate by modifying the frame-rate cannot easily be obtained. For transmission of this video over a network connection with varying bandwidth, however, such scalability is required. Several methods to obtain bit-rate scalability are considered. For our system, multiple independently encoded video streams will be used for each video channel. Each stream will have a different frame-rate, and thus a different bit-rate. Based on this system approach, an architecture for a streaming video server is proposed. The architecture allows multiple users to connect and receive video, simultaneously. Each user can request multiple video channels. The transmission bit-rate is adjusted by selecting different combinations of compressed video streams for the requested channels. A stream-selection module calculates a set of streams for each user, depending on the available network bandwidth. The main focus of our work was on the stream-selection process. To distinguish between multiple sets of streams, parameters are introduced, which are used to find the optimal set of streams. Based on these parameters, cost values are introduced to allow numerical comparison of different sets of streams. Because a full-search over the total solution space is not feasible, several heuristic selection algorithms are proposed. Multiple stream-selection algorithms are compared for a scenario in which the network bandwidth is varied over time. A comparison is made in terms of computational complexity versus the performance. Next, because each heuristic method considers only a limited set of combinations of streams, the scalability for each method is compared to the full-search method. We show that, the considered sub-set contains relevant combinations of streams, so a reduction in the computational load still results in an optimal combination of streams.
The Open Access Israeli Journal of Aquaculture – Bamidgeh

A 9 week study was conducted to evaluate the ability of juvenile turbot Scophthalmus maximus (initial body weight: 8.06 ± 0.08 g) to utilize carbohydrates of different molecular complexity (glucose, sucrose and dextrin) diets. Triplicate groups of fish were hand-fed each of the diets in a re-circulated water system. Results showed that weight gain rate and feed efficiency of fish fed dietary dextrin and the control diets were higher than those fed dietary glucose and sucrose diets (P<0.05). Fish fed dietary sucrose had significantly higher daily feed intake than those fed the other three diets (P<0.05). The apparent digestibility coefficients of carbohydrates were glucose > dextrin > sucrose with the lowest occurring in fish fed dietary sucrose. Lipid content in muscle and liver was significantly higher in fish fed the control diet, and muscle glycogen was significantly highest (P<0.05) in fish fed dietary glucose. The order of the liver glycogen was glucose > sucrose > dextrin > control. Insulin was significantly highest (P<0.05) in fish fed dietary dextrin plasma. In fish fed the control diet total cholesterol in plasma was highest (P<0.05), and triacylglycerols in plasma of fish fed the control and dietary dextrin diets were significantly highest (P<0.05). In conclusion, the present study suggests that turbot can utilize dextrin more efficiently than glucose and sucrose. The IJA appears exclusively as a peer-reviewed on-line open-access journal at http://www.siamb. org.il/. To read papers free of charge, please register online at registration form. Sale of IJA papers is strictly forbidden.
Design-Build: How to Increase Its Usage and Its Impact on Architects and Contractors in Singapore

The purpose of this paper is to explore the ways to increase the usage of design-build (DB). The scope covers how project managers (local and foreign) can play a role in increasing DB usage in Singapore. It is found that owners would adopt DB if their requirements can be properly met. This is achieved by having clear and comprehensive bid documents, having sketch designs prepared by client appointed consultants, and engaging experienced DB contractors. Clients also need to engage project managers and consultant quantity surveyors to manage the DB projects, but the liability for design rests on DB contractors. Clients want DB contractors to provide warranty for fitness for purpose. The conclusion is that clients welcome the use of DB if some concrete steps are taken to make it meet their needs better. This study also concludes that consulting and contracting companies welcome DB, as this procurement method does not have a significantly negative impact on them.
Single Image Super-Resolution With Learning Iteratively Non-Linear Mapping Between Low- and High-Resolution Sparse Representations

Conventional sparse coding based super-resolution (SR) methods obtained promising performance by learning overcomplete dictionaries for low-resolution (LR) and high-resolution (HR) feature spaces, and assuming that the sparse representation of a HR feature vector was identical or linear to the sparse representation of the corresponding LR one. However, in fact, the relationship between LR and HR sparse domains is nonlinear due to the complicated degradation of the observed image. To learn the relation more precisely, an assumption called “the same-support constraint” is adopted in our proposed method, which forces LR/HR image patches to activate the atoms lying in the same locations of the LR/HR dictionaries. Under the same-support constraint, our approach first learns LR dictionary, and then obtains HR dictionary and a nonlinear mapping between LR/HR sparse domains by training them iteratively. LR/HR dictionaries learned individually can explore structural characteristics of their corresponding feature spaces well, while the mapping learned iteratively can reveals accurately the intrinsic non-linear relationship between LR and HR sparse domains. Experimental results show that the proposed method outperforms the compared sparse learning based single image super-resolution methods.
The influence of an upper‐level frontal zone on the Mack Lake Wildfire environment

Meteorological assessment of wildland fire danger has traditionally involved the identification of several synoptic weather types empirically determined to influence wildfire spread. Specifically, in the Great Lakes Region, high wildfire danger is often witnessed in association with northwesterly synoptic‐scale flow aloft. Such synoptic‐scale flow is regularly associated with the development of upper‐level frontal zones also known as upper‐level jet/front systems, which are often characterised by intrusions of stratospheric air into the troposphere. The notion that upper‐frontal development can play an important role in promoting wildfire spread is advanced through interrogation of the output from a fine‐scale numerical simulation of a documented explosive wildfire case; the Mack Lake Fire of May 1980.
EVALUATION OF ONE-CLASS SVM FOR PIXEL-BASED AND SEGMENT-BASED CLASSIFICATION IN REMOTE SENSING

Despite the wide usage of standard cost support vector machines in remote sensing, a less common approach of SVM - named one-class SVM - has found only little attention. This seems surprising to us, as one-class SVM overcomes one important shortcoming of standard cost SVM: the problems occuring from unassigned classes present in the scene and the difficulties handeling the rejection class. We present an introduction into one-class SVM for classification in remote sensing and a comparison with standard cost SVM.
Comparative Study of LST and SJF Scheduling Algorithm in Soft Real-Time System with its Implementation and Analysis

The Least Slack Time First (LST) algorithm is a dynamic scheduling algorithm and also known as Least Laxity First. It decides the dynamic priority of the task based on slack time; The task having minimum slack time will be considered the highest priority. It is the most suitable algorithm for scheduling of tasks in soft Real-Time Operating System (RTOS). The Shortest Job First (SJF) algorithm is a static scheduling algorithm and decides the priority of the task based on execution time required for a given task. Task which has minimum execution time considered as the highest priority task in SJF. It is not directly used for scheduling Soft Real-Time system. In this paper, we have implemented the LST and SJF for the soft real-time operating system. These algorithms have been executed on periodic task set, and observations are gathered. We have observed Success Ratio & Effective CPU Utilization and compared both the algorithm in the same conditions. It is noted that the LST algorithm performs well in underload scenario but not well in an overload situation. SJF not able to schedule specific task even in underload situation but it comparatively performs well in an overload situation. Practical experiments have been conducted on a large dataset. Data Set contains 7500 task set, and each task set includes 1 to 9 processes. CPU load for each process set varies from 0.5 to 5. It has been tested on 500-time unit to validate the correctness of both algorithms.
Experimental evaluation of digital predistortion for VCSEL-SSMF-based Radio-over-Fiber link

This article proposes a Digital Predistortion (DPD) technique in order to enhance the linearity of short and limited range Mobile Front Haul (MFH) links for the present Long-Term Evolution (LTE) and future (5G) cellular networks. The proposed technique is applied to 850 nm Single Mode Vertical Cavity Surface Emitting Lasers (VCSELs) and Standard Single-Mode Fibers (SSMFs) low cost and low consumption Radio-over-Fiber (RoF) link. Memory Polynomial is employed using Indirect Learning Architecture (ILA). Moreover, the resilience of the DPD approach to changes in input power levels is investigated. The improvements in the quality of the received signal due to the proposed solution are illustrated with reference to scenarios of applicative interest. The performance of proposed technique is evaluated in terms of Adjacent Channel Power Ratio (ACPR) and Normalized Mean Square Error (NMSE) for entire LTE frame of 10ms for 5 MHz band signal having 64 QAM modulation format.
Understanding HR frames' differences: perceptions of middle level managers about the HRM system

When HR Managers develop HR activities, they need to communicate and implement it to the workers in the field via middle level managers. Different workers, including middle level managers perceive the same event, but make sense of it in a different way. The knowledge, assumptions, and expectations are different. Employees have frames, which reflect the way they receive the information and what their behavior will be. Congruent HRM frames will lead to better communication, employee satisfaction, organizational effectiveness, and changes in a HRM process are expected to progress easier. The goal of this study is to explore the roots of differences in frames, in order to increase understanding of behavioral differences towards HRM. An explorative case-study is performed in a health care organization. Four HR Managers and four middle level managers in one organization are interviewed. Three continuums of HRM activities are used: vision, philosophy, and execution of HR practices. Differences are found in philosophy and execution. Some studies are confirmed by this research, like the existence of different frames, personal differences based on backgrounds, and different functions leading to different main foci. While also new knowledge is found: differences in frames exist because a lack of clearness about the HRM philosophy and goals, execution of HR practices by middle level management is intuition- and inertiabased, differences in client-focus, and a seemingly big distance to the HR administration.
Effect of Phenanthrene on the Tissue Structure of Liver and Aminotransferase Enzymes in Yellowfin Seabream (Acanthopagrus latus)

1. Department of Marine Biology, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran. 2. Department of Basic Sciences, University of Tabriz, Tabriz, Iran. * Corresponding Author: E-mail: m.shirmohammadi@kmsu.ac. ir Effect of Phenanthrene on the Tissue Structure of Liver and Aminotransferase Enzymes in Yellowfin Seabream (Acanthopagrus latus) Mehrnaz Shirmohammadi*, Negin Salamat , Mohammad Taghi Ronagh , Abdolali Movahedinia , Gholamreza Hamidian 2
Virtue Argumentation and Bias

: Is bias an obstacle to a virtue theory of argumentation? Virtue theories seem vulnerable to a situationist challenge, analogous to similar challenges in virtue ethics and epistemology, that behavioural dispositions are too situation-specific for virtues to be psychologically plausible. This paper argues that virtue argumentation may respond to this challenge by combining a defence of the virtue of humility with a demonstration of the role of attitude strength, as exhibited by deep-seated virtues.
Comparison of DoA Algorithms for MIMO OFDM Radar

This paper presents results for the determination of the direction of arrival (DoA) problem for a MIMO OFDM radar system using some of the most popular techniques: Multiple Signal Classification (MUSIC), Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT), Minimum Norm (Min-Norm), Minimum Variance Distortionless Response (MVDR). The performance of the algorithms is evaluated using two different metrics, namely the performance achievable in terms of resolution and the probability of target distinction, since, for example, in automotive systems, not only the resolution but also the correct distinction of the number of targets can be crucial. The results presented in the paper show that the Min-Norm algorithm is a better option when used for applications that require reliable distinction of targets.
Real-Time Monitoring and Prediction of Modes of Coherent Synoptic to Intraseasonal Tropical Variability

Abstract A technique of near-real-time monitoring and prediction of various modes of coherent synoptic to intraseasonal zonally propagating tropical variability is developed. It involves Fourier filtering of a daily updated global dataset for the specific zonal wavenumbers and frequencies of each of the phenomena of interest. The filtered fields obtained for times before the end of the dataset may be used for monitoring, while the filtered fields obtained for times after the end point may be used as a forecast. Tests of the technique, using satellite-observed outgoing longwave radiation (OLR) data, reveal its skill for monitoring. For prediction, it demonstrates good skill for the Madden–Julian oscillation (MJO), and detectable skill for other convectively coupled equatorial modes, although the decaying amplitude of the predictions with time is a characteristic that users need to be aware of. The skill for the MJO OLR field appears to be equally as good as that obtained by the recent empirical MJO forecas.
The Hidden Effect of Rules: Behavioural consequences of Obligations

How formal institutions (e.g. laws and public policies) affect human behaviour represents a crucial issue in economic analysis. Formal rules are defined as obligations backed by incentives. The economic literature has largely studied the role of material incentives in shaping individual behaviour. Yet, the role of obligations, i.e. what formal rules ask people to do or not to do, remains a black box. In this paper we run a public good game to analyze the behavioural effects of obligations. We find experimental evidence that obligations can affect cooperative behaviour both by coordinating conditional co-operators’ beliefs on others’ behaviour and by directly affecting social preferences. Our results shed a new light on the behavioural channels through which formal rules can affect individual behaviour and suggest the opportunity to broaden the scope of analysis in order to better understand the effects of institutions on economic outcomes.