Miracle-dz/UniFAR-FTUs huggingface dataset:
A Conceptual Model for Participant's Motivation in Crowdsourcing Contest

Crowdsourcing contest is one of the most important forms of crowdsourcing and has been adopted by more and more firms for problem-solving and decision-making. Thus it is of great importance to explore what motivates the crowd to participate in crowdsourcing contest. This paper firstly differ crowdsourcing from several related concepts and identifies four fundamental dimensions to conceptualize crowdsourcing contest, in which the motivation aspect is highly related to the other three dimensions and should be examined in an integrative framework. Then the paper theoretically examines the category of motivation based on self-determination theory and synthesizes various motivation factors in crowdsourcing contest as a form of motivation spectrum. Also, motivational affordances theory is introduced to investigate various motivation sources from an internal perspective. Furthermore, the paper builds a theoretical model to illustrate the relationships between various motivations and participation effort, in which motivational affordances and task granularity are employed as the moderate constructs. Our study will theoretically contribute to the literatures and have some potential to shed light on the system design and policy making of crowdsourcing contest.
Mutation Rate Inferred From Synonymous Substitutions in a Long-Term Evolution Experiment With Escherichia coli

The quantification of spontaneous mutation rates is crucial for a mechanistic understanding of the evolutionary process. In bacteria, traditional estimates using experimental or comparative genetic methods are prone to statistical uncertainty and consequently estimates vary by over one order of magnitude. With the advent of next-generation sequencing, more accurate estimates are now possible. We sequenced 19 Escherichia coli genomes from a 40,000-generation evolution experiment and directly inferred the point-mutation rate based on the accumulation of synonymous substitutions. The resulting estimate was 8.9 × 10−11 per base-pair per generation, and there was a significant bias toward increased AT-content. We also compared our results with published genome sequence datasets for other bacterial evolution experiments. Given the power of our approach, our estimate represents the most accurate measure of bacterial base-substitution rates available to date.
Monitoring Scientific Conference : Real-time Visualization and Retrospective Analysis of the Backchannel Conversation

This paper presents the study of backchannel conversation during a scientific conference, for this study I have analyzed the tweets about Theorizing the Web 2012. For the real time analysis I developed a web-based conference tweets visualization dashboard called Conference Monitor. This real time visualization of conference tweets will help the organizers to visualize the conference backchannel. The retrospective analysis shows interesting trends in the conference tweets and the social network of the participants.
A Meta-analysis of Clinical Effects of Low-level Laser Therapy on Temporomandibular Joint Pain

[Purpose] Temporomandibular joint (TMJ) pain is a symptom of TMJ disease. Low-level laser therapy (LLLT) is often used in the clinical treatment of TMJ pain. The aim of this study was to review the effective parameters of LLLT for TMJ pain. [Methods] This study was a systematic review in which electronic databases were searched for the period of January 2005 to January 2010. We selected reports of randomized controlled trials and calculated the effect size (ES) of the pain relief to evaluate the effect of LLLT. [Results] Seven reports are found to meet the inclusion criteria and discussed. Based on the calculation results, the pooled ES was –0.6, indicating a moderate effect of pain relief. In addition, the dosages and treatments with wavelengths of 780 and 830 nm can cause moderate and large pain relief effects. [Conclusion] Use of LLLT on the masticatory muscle or joint capsule for TMJ pain had a moderate analgesic effect. The optimal parameters for LLLT to treat TMJ pain have not been confirmed. However, our results can be a vital clinical reference for clinical physicians in treatment of patients with TMJ pain.
Pharmacologic therapy for inflammatory bowel disease refractory to steroids

Although corticosteroids are an effective treatment for induction of remission in inflammatory bowel disease (IBD), many patients are dependent on or refractory to corticosteroids. This review is based on scrutinizing current literature with emphasis on randomized controlled trials, meta-analyses, and Cochrane reviews on the management of IBD refractory to corticosteroids. Based on this evidence, we propose algorithms and optimization strategies for use of immunomodulator and biologic therapy in IBD refractory to corticosteroids.
Fractionally Spaced Blind Equalizer Performance Improvement

Blind equalization schemes are used to cancel the effects of a channel on the received signal when the transmission of a training sequence in a predefined time slot is not possible. In the absence of a training sequence, blind equalization schemes can also increase the throughput of the overall system. A general problem with blind adaptation techniques is that they have poor convergence properties compared to the traditional techniques using training sequences. Having a multi-modal cost surface, blind adaptation techniques may force the equalizer to converge to a false minimum, depending on the initialization. The most commonly used blind adaptation algorithm is the Constant Modulus Algorithm (CMA). It is shown by simulation that a logarithmic error equation can make CMA converge to a global minimum, if a differential encoding scheme is used. The performance of CMA with different error equations is also investigated for different channel conditions.
Risk Factors for Chronic Obstructive Airway Disease: A Hospital Based Prospective Study in Rural Central India

Background: Chronic obstructive pulmonary disease affected 215 million populations worldwide in 2016 and more than 90% deaths occur in low and middle-income countries. Only few studies have looked at this problem with rural perspective. This study aims to find prevalence of risk factors in COPD (chronic obstructive pulmonary disease) patients at tertiary care centre which mainly caters rural population. Material and Methods: This is a hospital-based longitudinal cohort study conducted at a rural based tertiary care Medical Institute in central India. Patient with history of cough and breathlessness for 3 months or more were studied. Spirometry-confirmed 113 COPD patients were studied for risk factors like male sex, advancing age, smoking, indoor air pollution and baseline assessment was done with Clinical COPD Questionnaire (CCQ). Result: Total 113 patients [median age, 59 y (interquartile range [IQR] 50-66); [82 (72.6% men and 31 (27.4%) women]) were included in study. Severity of COPD was not linearly correlated with the severity of risk factors like male sex (p=0.99), advancing age (p=0.70), smoking (p=0.78) and indoor air pollution (p=0.82). Low BMI (Body mass index) (18.1 Vs 20.1 Kg/ m2, p<0.01) was associated with severity of COPD. Women tended to spend more time in house (p<0.01) and Indoor risk time product grade was significantly higher in females (grade 4 indoor risk time product 30.9 vs 13.2, p=0.01). The CCQ score had an inverse relationship with baseline FEV1 (Forced expiratory volume in one second) [Pearson coefficient -0.33 (p=0.003)]. There was moderately strong relationship between decline in FEV1 and decline in PEFR (peak expiratory flow rate) (r=0.66). Conclusion: The CCQ may be used as low-cost and non-instrument-based indicator of FEV1 and PEFR to determine the severity of COPD at baseline as well as to judge improvement from baseline. CCQ score would be useful where spirometry is not available.
Management control of interfirm transactional relationships

This paper is focused on the way in which interfirm relations can be drawn up and controlled. Drawing on contracting theories a model is built of the management control structure of interfirm relationships. The model consists of three control patterns and of contingency factors that influence the choices between the patterns. Particular attention is paid to the role of trust. In building our model we take the perspective of the outsourcer. We try to refine our model by conducting case research in the field of industrial renovation and industrial maintenance. In this field we observed changes in the way outsourcing relationships are controlled. Case research can be very helpful for gaining insights into factors that influence the establishment of control structures of interfirm relationships. By comparing the results of our case research we found institutional, strategic, cultural and historical factors to be of great importance for these control structures.
Spatialized Teleconferencing: Recording and `Squeezed' Rendering of Multiple Distributed Sites

Teleconferencing systems are becoming increasing realistic and pleasant for users to interact with geographically distant meeting participants. Video screens display a complete view of the remote participants, using technology such as wraparound or multiple video screens. However, the corresponding audio does not offer the same sophistication: often only a mono or stereo track is presented. This paper proposes a teleconferencing audio recording and playback paradigm that captures the spatial location of the geographically distributed participants for rendering of the remote soundfields at the users' end. Utilizing standard 5.1 surround sound playback, this paper proposes a surround rendering approach that `squeezes' the multiple recorded soundfields from remote teleconferencing sites to assist the user to disambiguate multiple speakers from different participating sites.
Uncertainty about Government Policy and Stock Prices

We analyze how changes in government policy affect stock prices. Our general equilibrium model features uncertainty about government policy and a government that has both economic and non-economic motives. The government tends to change its policy after performance downturns in the private sector. Stock prices fall at the announcements of policy changes, on average. The price fall is expected to be large if uncertainty about government policy is large, as well as if the policy change is preceded by a short or shallow downturn. Policy changes increase volatility, risk premia, and correlations among stocks. The jump risk premium associated with policy decisions is positive, on average.
Super-resolution Reconstruction Based on Irregular Sample and Local Statistics

A novel super-resolution reconstruction algorithm based on irregular sample and local statistics is proposed in this paper. The pixels of the low resolution images are matched on the high resolution grid of the reference image which results in the irregular sample of the reconstructed high resolution image. Then Benedetto-Heller theorem is used for the reconstruction in which a new weighted reconstruction filter considering the image local statistics is proposed. Experimental results demonstrate the proposed method is better than that of the conventional algorithms in terms of visual inspection and convergence speed. It has an improvement of 1-2 dB in PSNR over other approaches.
TRAP and SRAP markers to fi nd genetic variability in complex polyploid

Abbreviations: A, adenine; AFLP, Amplified Fragmen Active Germplasm Bank; bp, base pairs; BRS, Brazil; BRS C, cytosine; C, DNA content; °C, degree Celsius; CIR, cl clone from Manaus City; CMU, clone from Maués City; CT bromide; DNA, Deoxyribonucleic acid; dNTP, deoxy Embrapa, Brazilian Agricultural Research Corporation; E Fig., Figure; G, guanine; ISSR, Inter-Simple Sequence Rep mM, millimolar or 10 mol/m; μM, micromolar or 10 number; ng, nanogram; PCR, Polymerase chain reaction; P 10 mol/m; PIC, Polymorphic Information Content; T, t the thermophilic bacterium; TRAP, Target Region Amp RAPD, Random Amplified Polymorphic DNA; SRAP, Se Polymorphism; SSR, Simple Sequence Repeat; U, enzyme Var, variety. ⁎ Corresponding author. E-mail address: nelcimar.sousa@embrapa.br (N.R. Sou
Load frequency control of interconnected restructured power system along with DFIG and coordinated operation of TCPS-SMES

The increased penetration of wind power by doubly fed induction generator (DFIG) in power system results in higher frequency excursion and increased rate of change of frequency in the event of generation loss or increased load demand. This paper presents the added feature of frequency regulation capability of the DFIG by incorporating an extra frequency control support function, tested on an interconnected two-area restructured power system. Frequency control support function responding proportionally to the frequency deviation is proposed to take out the kinetic energy of the wind turbine for improving the frequency response of the system. The presence of Thyristor controlled phase shifter (TCPS) in series with the tie-line near one area and Superconducting Magnetic Energy Storage (SMES) at the terminal of the other area in conjunction with dynamic active power support from the DFIG results in optimal transient performance for PoolCo transactions. Integral gains of AGC loop and parameters of TCPS and SMES are optimized through craziness based particle swarm optimization (CRPSO) in order to have optimal transient responses of area frequencies and tieline power deviation.
ASSESSMENT OF USEFULNESS OF THE ADAPTIVE PARAMETER SELECTION TECHNIQUES FOR SUPPORT MANUFACTURING PROCESS OF ALUMINIUM-CERAMIC FIBRES COMPOSITES

Przeprowadzono testową ocenę moŜliwości technik adaptacyjnych do estymacji korzystnych o raz ekonomicznych parametrów procesu formowania kompozytów w układzie cz ąstki stopu aluminium-cząstki ceramiczne. Jako informacje wyjściowe do przeprowadzenia testowej analizy wykorzyst ano wyniki pomiarów wytrzymałości na rozciąganie próbek tworzyw kompozytowych na osnowie aluminium umocnionych włóknami ceramicznymi. Próbki o zmiennym udziale objętościowym włókien były wykonane z uŜyciem technologii metalurgii proszków oraz przeróbki plastycznej. Wykorzystano w tym celu procesy mieszania składników, prasowania w temperaturze pokojowej proszku osnowy i mieszani oraz wyciskania na gorąco wyprasek w warunkach izotermicznych. Wyciskanie było przeprowadzone przy róŜnych wartościach współczynnika wyciskania i temperatury. Wyniki badań wytrzymałości na rozciąganie tworzyw zastosowano jako baz ę danych do testowej analizy z wykorzystaniem metod opa rtych na narzędziach statystycznych i na sztucznej inteligencji. Do statystycznej analizy zastosowano metod ę krzywych regresji, spośród narzędzi sztucznej inteligencji wykorzystano adaptacyjny neuronowo-rozmyty system wnioskowania ANFIS. Dane o trzymane w wyniku badań wartości wytrzymałości na rozciąganie okazały się wystarczające do przeprowadzenia testowej analizy. Stwierdzono zgodność wyników otrzymanych w rezultacie zastosowania proponowanej metody ANFIS z wynikami metody statystycznej, co potwierdza przydatno ść tego rozwiązania do wspomagania projektowania materiałów kompozytowych. Oszacowano udział obj ętościowy włókien właściwy dla uzyskania najwyŜszej wartości parametru Rm, który dla przyj ętych komponentów i technologii powinien wynosi ć od 4,0 do 5,5% obj.
Stereo-vision based motion stabilization of a humanoid robot for the environment recognition by type-2 fuzzy logic

This paper presents an efficient ego-motion compensation method for a humanoid robot, using stereo vision and type-2 fuzzy logic. A humanoid robot should have the ability to autonomously recognize its surroundings and to make right decisions in an unknown environment. To enable a humanoid robot to do this, the ego-motion compensation method, which can eliminate the motion of a humanoid robot that causes an error of environment recognition, is suggested in this paper. The method uses a disparity map obtained from stereo vision and can be divided into three modules: the segmentation, feature extraction, and compensation modules. In the segmentation module, the objects are analyzed using type-2 FCM and features are extracted using wavelet level set extraction in the feature extraction module. The displacement for the rotation and translation can be estimated by tracking the least-square ellipse and correlation coefficient using FNCC in the compensation module. Based on the results of the experiments that were conducted in this study, it was found that the proposed method can be effectively applied to a humanoid robot.
Explanation-Based Attention for Semi-Supervised Deep Active Learning

We introduce an attention mechanism to improve feature extraction for deep active learning (AL) in the semi-supervised setting. The proposed attention mechanism is based on recent methods to visually explain predictions made by DNNs. We apply the proposed explanation-based attention to MNIST and SVHN classification. The conducted experiments show accuracy improvements for the original and class-imbalanced datasets with the same number of training examples and faster long-tail convergence compared to uncertainty-based methods.
Real-time trajectory generation for interception maneuvers with quadrocopters

This paper presents an algorithm that permits the calculation of interception maneuvers for quadrocopters. The translational degrees of freedom of the quadrocopter are decoupled. Pontryagin's minimum principle is used to show that the interception maneuver that minimizes the time to rest after the interception is identical to the time-optimal maneuver that drives the vehicle to the position at which it comes to rest after the interception. This fact is leveraged to apply previously developed, computationally efficient methods for the computation of interception maneuvers. The resulting trajectory generation algorithm is computationally lightweight, permitting its use as an implicit feedback law by replanning the trajectory at each controller update. The validity and performance of the approach is demonstrated experimentally by intercepting balls mid-flight. The real-time trajectory generation permits to take into account changes in the predicted ball flight path at each controller update.
fRAMEWORK fOR SHRIN- KING CITIES CASE STUDY RESEARCH: NORTHWEST REGION Of BOSNIA AND HERZEGOVINA METODOLOŠKI OKVIR ZA ŠTUDIJE PRIMEROV NEGATIVNEGA RAZVOJA MEST: SEVEROZAHODNA REGIJA BOSNE IN HERCEGOVINE

Tijana M. Vujičić, Aleksandra Đukić | METODOLOŠKI OKVIR ZA ŠTUDIJE PRIMEROV NEGATIVNEGA RAZVOJA MEST: SEVEROZAHODNA REGIJA BOSNE IN HERCEGOVINE | METHODOLOGICAL FRAMEWORK FOR SHRINKING CITIES CASE STUDY RESEARCH: NORTHWEST REGION OF BOSNIA AND HERZEGOVINAT | 520-536 | GV_2015_3_Strokovni-del (Valter Foski's conflicted copy 2015-09-16) (mojca foški's conflicted copy 2015-09-24). indd 520 1.10. 2015 16:14:37 | 521 | | 59/3 | GEODETSKI VESTNIK RE CE NZ IRA NI ČL AN KI | P EE RRE VIE W ED AR TIC LE S SI | E N
SMask: preventing injection attacks in web applications by approximating automatic data/code separation

Web applications employ a heterogeneous set of programming languages: the language that was used to write the application's logic and several supporting languages. Supporting languages are e.g., server-side languages for data management like SQL and client-side interface languages such as HTML and JavaScript. These languages are handled as string values by the application's logic. Therefore, no syntactic means exists to differentiate between executable code and generic data. This circumstance is the root of most code injection vulnerabilities: Attackers succeed in providing malicious data that is executed by the application as code. In this paper we introduce SMask, a novel approach towards approximating data/code separation. By using string masking to persistently mark legitimate code in string values, SMask is able to identify code that was injected during the processing of an http request. SMask works transparently to the application and is implementable either by integration in the application server or by source-to-source translation using code instrumentation.
Migration Method for Seamless Service in Cloud Computing: Survey and Research Challenges

Migration can contribute to efficient resource management in cloud computing environment. Migration is used in many areas such as power reduction, load balancing, and fault tolerance in Cloud Dater Centers (CDCs). However most of the previous works concentrated on the implementation of migration technology itself. Thus, it need to consider metrics which may impact the migration performance and energy efficiency. In this paper we summarize and classify previous approaches of migration in CDCs. Furthermore, we conclude with a discussion of research problems in this area. In the future work, we will study on live migration mechanism to improve the live migration performance and energy efficiency in the variety of CDCs.
A fast multiplier-less edge detection accelerator for FPGAs

Real time video is used in a wide variety of applications, ranging from video surveillance to medical imaging. These operations require significant amounts of processing power, especially when high resolution frames are used. A large percentage of processing time is used in edge detection kernels. Thus, accelerating these kernels is of vital importance in achieving satisfactory frame rates for real time performance, even in high resolutions. This paper proposes a hardware coprocessor to the Xilinx Microblaze processor which accelerates edge detection significantly, while keeping the hardware requirements low, by using no multipliers at all. Using a Xilinx Spartan 3E FPGA, we have reported a frame rate of 157 frames per second in 4CIF format, which corresponds to a 4x speedup over the software only solution. The speedup was achieved with only 1131 slices and 5 block RAMs hardware occupation, which makes the solution very attractable.
A MIMO architecture for integrated control of plasma shape and flux expansion for the EAST tokamak

This paper deals with the magnetic control system of the EAST tokamak, i.e. with the system in charge of controlling the position and the shape of the plasma column into the vacuum vessel, as well as the current that flows into it. A multi-input multi-output architecture is proposed in order to achieve integrated control of both plasma boundary and flux expansion in the scrape-off layer. The proposed architecture is based on an XSC-like control approach [1]. In order to show the effectiveness of the proposed approach, a set of Matlab/Simulink® tools that allow to reproduce in simulation the EAST experiments is used. This simulation environment is validated against the experiments, and is then exploited to design and validate the proposed MIMO controller.