Miracle-dz/UniFAR-FTUs huggingface dataset:
Facilitating the discovery of open government datasets through an exploratory data search interface

The primary area of investigation for this paper is the process of open data discovery, specifically, how novice users search for open government datasets and how this process can be improved. The problem of search on open data portals has featured consistently in Canadian Open Government consultations. A literature review of open data initiatives and processes reveals that open data search is a browsing or investigative task rather than a factual lookup or subject search task. Researchers have proposed exploratory search interfaces as alternatives to traditional search interfaces to support learning and investigative tasks in the information retrieval domain. This paper elaborates on a study conducted to evaluate the usefulness of a visualization-based exploratory data search interface to help novice users discover relevant datasets. A special feature of this interface is the use of variable names in addition to dataset description for search. Today, data search systems on open data portals tend to rely on the text contained in metadata and dataset descriptions to facilitate keyword search. However, the variable names contain important information about the content and structure of a file. This study also probed the role that variable names could play in search, specifically as a means of facilitating exploration and relevance assessment.
Vibration Characteristics of Various Surfaces Using an LDV for Long-Range Voice Acquisition

Laser Doppler vibrometers (LDVs) as non-contact vibration sensors have an ability of remote voice acquisition. With the assistance of a visual sensor (camera), various targets in the environment, where an audio event takes place, can be selected as reflecting surfaces for collecting acoustic signals by an LDV. The performance of the LDV greatly depends on the vibration characteristics of the selected targets (surfaces) in the scene, on which a laser beam strikes and from which it returns. In this paper, the relations of a target's material and structural properties with its vibration characteristics are studied, and a vibration amplitude model is established. Then the vibration characteristics of several typical surfaces with different materials and structures are explored through both simulations and real-sensor experiments. Based on their responses to the frequencies in the range of human voice, the targets are classified into three categories by the number of fluctuations (zero, one, or two) in their vibration returns in the range of speech. Some short- and long-range experimental results are presented for the speech acquisition from surfaces of these three categories, and their feasibilities in speech acquisition are also evaluated.
THE IMPACT OF ORGANISATIONAL CITIZENSHIP BEHAVIOUR AND PERSON-ORGANISATION FIT ON EMPLOYEE TURNOVER INTENTIONS

The aim of this article is to examine the relationship between OCB and turnover intentions while controlling for the effects of person-organisation (PO) fit. The study was based on a convenient sample of 200 employees from four different companies, and the data were analysed by means of correlation, hierarchical regression, and usefulness analysis. The results suggest that OCB directed at the organisation (OCBO) and PO fit were significantly related to turnover intentions. Contrary to expectations, OCB directed at individuals (OCBI) was not significantly related to turnover intentions. The paper contributes to research by clarifying the nature of the relationship between OCB and turnover intentions, and provides theoretical and practical implications that both researchers and practitioners can implement.
Control and trajectory generation of an Ackerman vehicle by dynamic linearization

This paper proposes a trajectory controller and a trajectory generation algorithm for an Ackerman vehicle. The definition of the system is based on a dynamic model which makes it possible to describe it in terms of the input signals normally reacheable for the driver: the torque of the engine related with the level of the gas pedal, and the movement of the steering wheel. This way, this control method can be implemented on any existing vehicle with minimum changes. For handling the nonlinearities present in the system, the mathematical description of the Ackerman vehicle is arranged in such a way that it fulfills the flatness conditions, making it possible to apply dynamic linearization. Another benefit of the proposed flat description is the close relationship between the flat outputs and the geometrical description of the path, so that the development of the control law for reaching any point in the surroundings of the vehicle is straightforward. In this connection, the trajectory generation algorithm automates a way of defining a trajectory out of a set of intermediate points. The robustness of the system against disturbances is assured by a closed loop control algorithm designed on the flat system.
Performance Evaluation of Maximum-Likelihood Page Detection for 2-D Interference Channel

The issue of maximum-likelihood page detection (MLPD) of a two-dimensional (2-D) interference channel corrupted by additive white Gaussian noise is studied. A new way of analyzing the performance of MLPD is proposed which provides a distinct understanding of the MLPD for 2-D interference channels. An approximated bounding method is also proposed which can accurately predict the performance bound while greatly reducing the computational complexity.
A novel double-layer leaky-wave antenna array for radiation efficiency improvement based on substrate integrated waveguide

A novel double-layer leaky-wave antenna (LWA) array for radiation efficiency improvement based on substrate integrated waveguide (SIW) is proposed. The LWAs are integrated on the first layer of the array, and a SIW waveguide is designed on the second layer. The input power is fed into one of the LWAs, and the remaining power at the end of this LWA is coupled into the SIW waveguide on the second layer through coupling slots. The power is then transmitted and coupled into another unfed LWA on the top layer again. As a consequence, the radiation efficiency gets improved, as well as the gain, while the structure of the antenna maintains in a compact size. Simulation results are given to demonstrate the efficiency of the design.
Description and evaluation of the process-based forest model 1 4 C at four European forest sites 2

The process-based model 4C (FORESEE) has been developed over the past twenty years. The 26 objective of this paper is to give a comprehensive description of the main features of 4C and to present an 27 evaluation of the model at four different forest sites across Europe. The evaluation was focused on growth 28 parameters, carbon, water and heat fluxes. The main data source for the evaluation was the PROFOUND 29 database. We applied different statistical metrics of evaluation and compared the inter-annual and inter-monthly 30 variability of observed and simulated carbon and water fluxes. The ability to reproduce forest growth differs 31 from site to site and is best for the pine stand site Peitz. The model’s performance in simulating carbon and water 32 fluxes was very satisfactory on daily and monthly time scales in contrast to the annual time scale. This 33 underlines the conclusion that processes that are either not represented in dependence on on mediumto long34 term dynamic influences such as allocation, or those that are not represented at all but may have a large impact at 35 specific sites – such as the dynamics of non-structural carbohydrates (NSC) and ground vegetation growth – 36 need to be elaborated for general forest growth investigations under climate change. On the other hand, 4C has 37 shown a great potential for improvement since it emphasizes the representation of boundary conditions such as 38 soil temperature at different depths. Therefore, more spatial differentiation of processes such as organ-specific 39 respiration should easily be accomplished. Nonetheless, by using the PROFOUND database we were able to 40 demonstrate the applicability and reliability of 4C. 41 Geosci. Model Dev. Discuss. , https://doi.org/10.5194/gmd-2019-2 Manuscript under review for journal Geosci. Model Dev. Discussion started: 15 January 2019 c © Author(s) 2019. CC BY 4.0 License.
Reliability of the Penetration Aspiration Scale With Flexible Endoscopic Evaluation of Swallowing

Objectives: The Penetration Aspiration Scale (PAS), although designed for videofluoroscopy, has been utilized with flexible endoscopic evaluation of swallowing (FEES) in both research and clinical practice. The purpose of this investigation was to determine inter- and intrarater reliability of the PAS with FEES as a function of clinician FEES experience and retest interval. Methods: Three groups of 3 clinicians (N = 9) with varying FEES experience (beginning, intermediate, and advanced) assigned PAS scores to 35 swallows. Initial ratings were repeated following short-term (ie, 1 day) and long-term (ie, 1 week) retest intervals. Results: Intraclass correlation coefficients were calculated to assess interrater reliability on the first rating for each group. The coefficients were . 91, . 82, and . 89 for the beginning, intermediate, and advanced clinicians, respectively. Overall interrater reliability across all 9 clinicians, irrespective of experience, was . 85. Intraclass correlation coefficients were also calculated to assess intrarater reliability. The intrarater reliability for short- and long-term ratings was . 90, . 94, and . 96 and . 96, . 97, and . 94 for the beginning, intermediate, and advanced clinicians, respectively. Overall intrarater reliability across all 9 clinicians and all 3 ratings was . 94. Conclusions: Excellent inter- and intrarater reliability was evidenced with the application of the PAS for FEES regardless of clinician experience and retest interval.
A novel adaptive object tracking method based on Expected Likelihood Kernel

Visual tracking is a new line of broad research. It is required for advanced vision-based applications such as visual surveillance and vision-based human-robot interaction. In this paper, we propose a new method of object detection and tracking algorithm using Adaptive Expected Likelihood Kernel. In this algorithm we combine between the probability product kernels as a similarity measure, and the integral image to increase the speed of the algorithm. Key–Words: Object tracking, Integral Image, Histogram-based, Expected Likelihood Kernel, Mean Shift.
Intraretinal fluid identification via enhanced maps using optical coherence tomography images

Nowadays, among the main causes of blindness in developed countries are age-related macular degeneration (AMD) and the diabetic macular edema (DME). Both diseases present, as a common symptom, the appearance of cystoid fluid regions inside the retinal layers. Optical coherence tomography (OCT) image modality was one of the main medical imaging techniques for the early diagnosis and monitoring of AMD and DME via this intraretinal fluid detection and characterization. We present a novel methodology to identify these fluid accumulations by means of generating binary maps (offering a direct representation of these areas) and heat maps (containing the region confidence). To achieve this, a set of 312 intensity and texture-based features were studied. The most relevant features were selected using the sequential forward selection (SFS) strategy and tested with three archetypal classifiers: LDC, SVM and Parzen window. Finally, the most proficient classifier is used to create the proposed maps. All of the tested classifiers returned satisfactory results, the best classifier achieving a mean test accuracy higher than 94% in all of the experiments. The suitability of the maps was evaluated in a context of a screening issue with three different datasets obtained with two different devices, testing the capabilities of the system to work independently of the used OCT device. The experiments with the map creation were performed using 323 OCT images. Using only the binary maps, more than 91.33% of the images were correctly classified. With only the heat maps, the proposed methodology correctly separated 93.50% of the images. © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Reducing false alarm using hybrid Intrusion Detection based on X-Means clustering and Random Forest classification

In recent times, Intrusion Detection systems (IDSs) incarnate the high network security. Anomaly-based intrusion detection techniques, that utilize algorithms of machine learning, have the capability to recognize unpredicted malicious. Unluckily, an essential provocation of this method is to maximize accuracy, detection whereas minimize false alarm rate. This paper proposed a hybrid machine learning approach based on X-Means clustering and Random Forest classification called XM-RF in order to aforementioned drawbacks. X-Means clustering is utilized to gather whole data into congruent cluster based on their behaviour whereas Random Forest classifier is utilized to rearrange the misclassified clustered data to apropos group. The ISCX 2012 Intrusion Detection Evaluation is used as a model dataset. The experimental result pose that the proposed approach obtains better than other techniques, with the accuracy, detection and false alarm rates of 99.96%, 99.99%, and 0.2%, respectively.
Engineering of baker's yeasts, E. coli and Bacillus hosts for the production of Bacillus subtilis Lipase A.

Lipases are versatile biocatalists showing multiple applications in a wide range of biotechnological processes. The gene lipA coding for Lipase A from Bacillus subtilis was isolated by PCR amplification, cloned and expressed in Escherichia coli, Saccharomyces cerevisiae and Bacillus subtilis strains, using pBR322, YEplac112 and pUB110-derived vectors, respectively. Lipase activity analysis of the recombinant strains showed that the gene can be properly expressed in all hosts assayed, this being the first time a lipase from bacterial origin can be expressed in baker's S. cerevisiae strains. An important increase of lipase production was obtained in heterologous hosts with respect to that of parental strains, indicating that the described systems can represent a useful tool to enhance productivity of the enzyme for biotechnological applications, including the use of the lipase in bread making, or as a technological additive.
Electromagnetic Propagation From the Intestine-Ingested Source in the Human Body Model

Electromagnetic fields radiated from an intestine-ingested source in the human body model are calculated using the finite-difference time-domain (FDTD) method. The propagation characteristics of the vertically polarized components of the electric fields at the receiving points vertically placed on the model surface are analyzed in the frequency range of 100 MHz to 700 MHz. As the receiving point moves away from the ingested source, the received electric fields show relatively lower attenuation above 400 MHz and generate an unusual dip pattern at a particular frequency below 400 MHz. The above two interesting features may occur due to the surface wave propagating along the boundary of the human body model. The effects of the surface wave are illustrated clearly in the homogeneous circular cylinder as a simplified model of the human body.
Sighting Citation Sites — A Collective-Intelligence Approach for Automatic Summarization of Research Papers using C-Sites —

This paper presents an architecture for and details of a partially implemented system for automatic research paper summarization harnessing collective intelligence by utilizing the relationship and content between a given paper and citations in other papers that refer to it. We survey pre-existing components related to citation parsing and extraction, introduce our system Cite-Sum, and discuss initial implementation
Incremental Nonlinear Dynamic Inversion for Quadrotor Control

In this extended abstract the research developed on the feasibility of implementation of an Incremental Non-linear Dynamic Inversion (INDI) control for quadrotor control is divided into four main topics. First, a background study on the state of the art for linear and non-linear adaptive controllers is given, to provide a review foundation and to motivate the study of this Incremental controller. Secondly, a detailed study about quadrotor modelling is presented, where an audition to how previous research modelled different quadrotors, leading to a reasoned choice of quadrotor helicopter model. Thirdly, the attitude and position controller are deduced, investigated and implemented in simulation. The attitude controller has an INDI inner loop that aims to cancel the non-linearities and couplings of the system and a linear derivative and proportional outer loop to control the attitude. The position controller uses a similar architecture but also combines a Pseudo Control Hedging Algorithm that aims to increase the performance of the controller by changing the reference provided when certain saturations are reached. Lastly, the results obtained with the implemented controllers are compared with the results from a linear controller (Proportional/Incremental/Derivative) and a NDI controller, developed in a similar simulation in previous work. This comparison is not only performed for usual flight conditions, but also for flight conditions with faults in the actuators, changes of mass and with other different disturbances, where the advantage of the use of an INDI controller is expected to be more evident.
ROUTING WITH QoS CONSTRAINTS

This paper addresses the problem of routing constraints in overlay networks for both inter and intra domain. It proposes two algorithms (with “blind” style and the shortest path style) for mapping the traffic matrix onto real network graph as to respect the minimum bandwidth constraints and also optimize the resource usage. They were implemented allowing the introduction of numerical values to obtain the number of solved requests, the processing time, the path that satisfies the constraints, indicating the node that produces the bottleneck for the requests remained unsatisfied. Studying by comparison the results for the two proposed algorithms it can be seen the appropriate using situations, parameters that influence the efficiency and limitations of each.
CLASSIFICATION OF TWITTER USERS USING SUPPORT VECTOR MACHINE

Interest determination in music is very beneficial for business communities such as social network advertiser, music studio rental, musical instrument sales, and music concert promoter. This research discusses the classification of music interest of Twitter users based on their tweets in Bahasa Indonesia (Indonesian language). We classify tweets into three music genre categories (jazz, pop, or rock) and three sentiments (positive, negative, or neutral) using Support Vector Machine (SVM). Tweet text classification includes user text, retweet text, mention, hashtag, emoticon, and link (URL). Preprocessing is initiated with word segmentation, removal of symbol and numeric character codes, stemming, word normalization, removal of stopwords, and searching DBpedia for some important words that does not have basic words. This research use dataset of 450 tweets. By generating SVM model on training process that use 360 tweets, Gaussian RBF kernel, and 10-fold cross validation, a pair of parameter (C=0.7, γ=0.9) for music genre category and a pair of parameter (C=0.7, γ=0.8) for sentiment were obtained. The testing process use 90 tweets and resulting the best accuracy for music genre category (96.67%) and the best accuracy for sentiment (86.67%).
Quantification of systolic count increase in technetium-99m-MIBI gated myocardial SPECT.

UNLABELLED This study was performed to clarify the validity of quantification of myocardial wall thickening by the count increase method using electrocardiography (ECG)-gated SPECT. METHODS We performed a phantom study to examine the quantification of this method and to clarify the relationship between the changes of relative counts and objective size (such as myocardial wall) under various conditions. In addition, in volunteers, the percent count increase (%CI) was analyzed in left ventricular segments based on circumferential profile curve analysis by ECG-gated SPECT with 99mTc-MIBI (methoxyisobutyl-isonitrile), and it was compared with the regional systolic wall thickness (%Th) assessed by echocardiography during low-dose dobutamine infusion. RESULTS In our phantom study, the relative count changes were correlated linearly with the object size only within less than 20 mm. Recovery coefficient curves were influenced by acquisition parameters such as type of collimator, diameter of camera rotation, counts and photon scattering. In ECG-gated SPECT, the %CI value was increased gradually at each stage after dobutamine infusion, in relation to the increase of the %Th seen on echocardiography, although there are significant large deviations between these two parameters. CONCLUSIONS In this study, quantitative analysis based on the %CI in ECG-gated SPECT may underestimate regional wall thickening. These data should be considered in the evaluation of the %CI as an index of myocardial function.
Parasitic engineering for RRAM control

The inevitable current overshoot which follows forming in filamentary RRAM devices is often perceived as a source of variability that should be minimized. This sentiment has led to efforts to curtail the overshoot by decreasing the parasitic capacitance using highly integrated 1T-1R or 1R-1R device structures. While this is readily achievable in single device test structures, it poses an intricate design constraint for memory array designs. Several papers (Degraeve et al., 2010, 2014; Fantini et al., 2013; Raghavan et al., 2013; Padovani et al., 2015) suggest that there is insufficient current to form stable filaments for small parasitic capacitances and/or low current compliance levels. Thus, the relationship between minimizing overshoot current and improved filament stability is tenuous. In this study, we utilize the forming energy-based understanding of filamentary forming to reveal that the parasitic capacitance should be optimized, rather than minimized for better filament
2 Coordination , Self-organisation , and Fields

Aggregate computing is an emerging approach to the engineering of complex coordination for distributed systems, based on viewing system interactions in terms of information propagating through collectives of devices, rather than in terms of individual devices and their interaction with their peers and environment. The foundation of this approach is the distillation of a number of prior approaches, both formal and pragmatic, proposed under the umbrella of field-based coordination, and culminating into the field calculus, a functional programming model for the specification and composition of collective behaviours with equivalent local and aggregate semantics. This foundation has been elaborated into a layered approach to engineering coordination of complex distributed systems, building up to pragmatic applications through intermediate layers encompassing reusable libraries of provably resilient program components. In this survey, we trace the development and antecedents of field calculus, review the current state of aggregate computing theory and practice, and discuss a roadmap of current research directions that we believe can significantly impact the agenda of coordination models and