Miracle-dz/UniFAR-FTUs huggingface dataset:
Tacking Regime Changes

In our previous work, we showed that regime changes in the market are retrospectively detectable using historic data in directional changes (DC). In this paper, we build on such results and show that DC indicators can be used for market tracking using data up to the present to understand what is going on in the market. In particular, we wanted to track the market to see whether the market is entering an abnormally volatile regime. The proposed approach used DC indicator values observed in the past to model the normal regime of a market (in which volatility is normal) or an abnormal regime (in which volatility is abnormally high). Given a particular value observed in the current market, we used a naive Bayes model to calculate independently two probabilities: one for the market being in the normal regime and one for it being in the abnormal regime. These two probabilities were combined to decide which regime the market was in, two decision rules were examined: a Simple Rule and a Stricter Rule. We used DJIA, FTSE 100 and S&P 500 data from 2007 to 2010 to build the Bayes model. The model was used to track the S&P 500 market from 2010 to 2012, which saw two spells of abnormal regimes, as identified by our previous work, with the benefit of hindsight. The tracking method presented in this paper, with either decision rule, managed to pick up both spells of regime changes accurately. The tracking signals could be useful to market participants. This study potentially lays the foundation of a practical financial early warning system. Keywords—regime change, directional change, financial market monitoring
Suicide prevention in the militar y : a mechanistic perspective

In response to elevated suicide rates among U.S. military personnel, increased attention has focused on developing effective suicide prevention intervention strategies. Accumulating evidence from a series of recently-completed clinical trials focused on the treatment of suicide risk and posttraumatic stress disorder suggest two likely mechanisms of action for reducing suicidal thoughts and behaviors: emotion regulation and cognitive flexibility. The present article provides an overview of converging evidence from psychological, biological, and neurocognitive studies supporting the central role of emotion regulation and cognitive flexibility. The effects of various treatments on suicidal thoughts and behaviors, aggregated from seven clinical trials conducted with military personnel, are considered using this integrated clinical science perspective. Implications for intervention refinement and suicide prevention among military personnel are discussed.
Anthropometric and Blood Pressure Measurements , Lipids and Lipoproteins Levels and Total Antioxidant Status of Pre and Postmenopausal School Teachers in Osogbo , South-West Nigeria

This study measured the blood pressure, lipid, lipoproteins and total antioxidant status in physically active premenopausal and postmenopausal school teachers in selected secondary schools in Osogbo, Osun State, Nigeria. Thirty six premenopausal (group I) and forty postmenopausal (group II) participated in the study. Body weight, height, waisthip circumference, Systolic blood pressure (SBP) and diastolic blood pressure (DBP) of the teachers were measured. Body mass index (BMI), waist-hip ratio (WHR), pulse pressure (PP) and mean arterial blood pressure (MAP) were calculated using standard formulae. Total Cholesterol (TC), Triglycerides (TG), high density lipoprotein cholesterol (HDL-C) were measured by enzymatic methods. Low Density Lipoprotein Cholesterol (LDL-C) and Very Low Density Lipoproteins Cholesterol (VLDLC) were calculated using Friedewald's equation. Total Antioxidant Status (TAS) was measured by spectrophotometric method. Results showed that the means of BMI (30.98 ± 4.86), WHR (0.87 ± 0.10), TG (1.74 ± 0.50) and VLDL (0.79 ± 0.23) in group II were increased (p<0.05) when compared with corresponding means of BMI (28.19± 4.81), WHR (0.85± 0.06), TG (0.89 ± 0.80) and VLDL (0.40 ± 0.36) in group I. A decrease in mean TAS (1.16 ± 0.07) in group II was observed when compared with corresponding mean TAS (1.24 ± 0.03) of group I. A negative association (r = -0.371, p<0.01) was observed between age and TAS. No difference was seen in mean SBP, DBP and levels of TC, HDL-C, and LDL-C in group II when compared with values of group I. Changes in TAS, lipids and lipoproteins observed in post menopausal women could be associated with oxidative stress, aging process and hormonal changes in menopause and could lead to an increased risk in developing CVD despite absence of a sedentary lifestyle.
Robust Grasping via Human Adversary

Much work in robotics has focused on “humanin-the-loop” learning techniques that improve the efficiency of the learning process. However, these algorithms have made the strong assumption of a cooperating human supervisor that assists the robot. In reality, human observers tend to also act in an adversarial manner towards deployed robotic systems. We show that this can in fact improve the robustness of the learned models by proposing a physical framework that leverages perturbations applied by a human adversary, guiding the robot towards more robust models. In a manipulation task, we show that grasping success improves significantly when the robot trains with a human adversary as compared to training in a self-supervised manner.
MARKETING HELLIM / HALLOUMI CHEESE : A COMPARATIVE STUDY OF NORTHERN AND SOUTHERN CYPRUS

Traditional Cyprus cheese, known as hellim in the Northern part of Cyprus (the Turkish Republic of Northern Cyprus) and halloumi in the Southern part of Cyprus (the Republic of Cyprus) is a unique cheese product known for centuries. Nowadays, as the industrial production of hellim / halloumi cheese is developing, and the product starts to gain its popularity on external markets, ongoing issues of obtaining geographical indications are taking place. The aim of the study is to compare approaches used both by the Northern and Southern Cyprus producers to market their traditional cheese on export markets. The results show that both parts of the island have agreed on the recipe of the hellim / halloumi cheese. Currently, the Southern Cyprus has double the capacity to produce, and the price on the export markets is 40% higher. The main export markets and marketing strategies used by the two parts of the divided island are very different, thus, the author concludes that the Southern and the Northern Cyprus are not direct competitors when it comes to exporting and marketing their traditional cheese and can obtain geographical indications together, as it would benefit both.
Electronic properties of graphene nanoribbons doped with zinc , cadmium , mercury atoms

The effect of substitutional impurities as Zinc (Zn), Cadmium (Cd) and Mercury (Hg) on electronic properties of graphene nanoribbons (GNRs) was investigated by using Density Functional Theory (DFT). A substantial change in the electronic properties of GNR structures was observed while changing the position of dopant atom from the edge to the center of armchair graphene nanoribbons (AGNRs) and zigzag graphene nanoribbons (ZGNRs). The calculations are shown that the electronic band gap of GNRs can be controlled depending on the position of dopant atoms. The calculated electronic band structures for both AGNRs and ZGNRs show spin-dependent metallic or semiconductor behavior according to the position of dopant atoms. From the Density of States (DOS) information, quasi-zero-dimensional (Q0D) and quasi-one-dimensional (Q1D) type behaviors are observed. It is shown that because the doped ZGNRs had the lowest total energies, ZGNRs are energetically more stable than AGNRs.
A Short Backfire Antenna with Fresnel Zone Plates

The short backfire antenna (SBA) developed by Ehrenspeck [1] has received much interest for its advantages, such as low cost, compactness, simplicity of construction, and high gain. The conventional SBA is composed of two parallel reflectors (main and sub reflectors) and a feed, which commonly includes a dipole placed between the reflectors, or an open-ended waveguide [2]. The SBA has successfully been used as either a single antenna or a primary feed in reflector antennas. On the other hand, we have recently proposed an antenna system in which a short cylindrical dielectric rod is mounted on a launcher composed of Fresnel zone plates (FZPs) [3], [4] and a circular ground plane [5]. The FZPs have an advantage over a conventional dielectric lens in that its structure is planar. In this paper, we develop a new SBA, in which FZPs are applied to a subreflector. We numerically demonstrate that high gain characteristics can be obtained with a simple configuration using the body-of-revolution finite-difference time-domain (BOR-FDTD) method [6].
HYBRID FEATURES FOR MUSIC AND SPEECH DETECTION

This submission aims to show how learned music and speech features affect the performance on music and/or speech detection tasks. The learned features are extracted from a music model and a speech model in a transfer learning setting. The music model is trained to perform auto-tagging and the speech model is to recognize speech commands. The learning models are constructed using the SampleCNN architecture which showed powerful performances on both music auto-tagging and speech command recognition tasks recently. Engineered audio features are also utilized to add general audio characteristics. Finally, we concatenate them and put the hybrid features into a classifier to make final predictions for the music and speech detection tasks in MIREX 2018.
Identification of parameters affecting the success of the hospital information system & presentation of a model for user satisfaction improvement

Complex institutions comprising several divisions and departments such as hospitals need access to information. Hospital information system has many capabilities and in case this system is acceptance by hospital staff, it leads to a revolution in the health care delivery industry. The identification of effective determinants and measures on the success of hospital information systems could significantly lead to the improvement of their performance. In this paper, the effective determinants and measures on the success of hospital information systems have been identified and then the data has been collected with the help of two customized questionnaires and finally analyzed with inferential statistics using SPSS software. According to the questionnaires, the results of the collected data were divided into two groups: results of experts and those of system users. In the experts group, after identifying the measures and determinants from the literature, they were presented to experts and with the use of one sample T test, the influencing measures and determinants on the success of hospital information systems have been identified. These measures were provided to users and then the confirmatory factor analysis was performed to assess the validity of questionnaires and structure of the identified determinants from the users’ opinions. Finally, several linear regression analyses were conducted to examine the hypotheses and proposed a model to improve user satisfaction in hospitals.
A Simplified Predictive Current Control for Matrix Converters with Reduced Common-mode Voltage

Predictive current control (PCC) is an effective method to control matrix converters (MCs) due to its advantages such as simplicity, fast dynamic response, and flexibility to control different variables. However, the high amount of calculations for the PCC is an obstacle for its real application. To overcome this problem, this paper proposes a simplified PCC method for MCs by utilizing the sector distribution. In addition, the proposed method reduces the peak value of common-mode voltage (CMV) to 42% by using a mediumvalued phase voltage to generate the zero vectors. Simulation results are shown to validate the effectiveness of the proposed PCC method.
Extraction of Terms Related to Named Rivers

EcoLexicon is a terminological knowledge base on environmental science, whose design permits the geographic contextualization of data. For the geographic contextualization of landform concepts, this paper presents a semi-automatic method for extracting terms associated with named rivers (e.g., Mississippi River). Terms were extracted from a specialized corpus, where named rivers were automatically identified. Statistical procedures were applied for selecting both terms and rivers in distributional semantic models to construct the conceptual structures underlying the usage of named rivers. The rivers sharing associated terms were also clustered and represented in the same conceptual network. The results showed that the method successfully described the semantic frames of named rivers with explanatory adequacy, according to the premises of Frame-Based Terminology.
Correlation calculation decrypting for BSS-based image cryptosystem

For a blind source separation (BSS) based method for encrypting multiple images, the multiple decrypted im- ages by BSS may have changed order and reversed pixel values. In addition, decorrelation preprocessing must be per- formed prior to decryption of strongly correlated images. To solve the two problems, a novel method for image decryp- tion was proposed based on correlation calculation since the key images are known for legal users and are independent of the original images. Specifically, the correlation matrix between the encrypted images and the key images was calculated according to the encryption equation, the decrypted images are then obtained by ignoring the smaller correlation matrix between the original images and the key images. The results of computer simulations and performance analyses demon- strate that the proposed method can provide much higher quality and much faster speed compared to the BSS decryption, and also can directly decrypt varied images.
QUALITATIVE SURVEY OF A COASTAL REGION FROM A POLARIMETRIC ANALYSIS OF SYNTHETIC APERTURE RADAR IMAGES

This study applied a time series of fully polarimetric synthetic aperture radar (SAR) images using RADARSAT-2 to analyze the polarimetric responses of the west coast of Taiwan. A total of seven images were acquired from 2009 and 2012, covering the low, high, and similar tide levels. A four-component target decomposition algorithm was used to investigate the tidal effects and dynamic ocean interactions of sandbanks near the coast. The experimental results showed that the Yamaguchi fourcomponent decomposition can extract different features in the coastal area efficiently and effectively. From the target decomposition image constructed using the Yamaguchi four-component model, strong double-bounce scattering and weak volume scattering were favorable indicators of oyster farms, whether they were densely arranged or rugged, and surface scattering delineated the water boundaries of sandbanks. Using the extracted water boundaries and tidal-level information from different times, a sandbank elevation model was estimated. The experimental results also revealed that a small offshore sandbank had a displacement of approximately 1.5 km under a tidal level of -1.14 m. Furthermore, large sandbanks had a counterclockwise displacement on the west coast and moved eastward on the eastern coast.
Adapting to a confused and undecided decision maker : experiments towards a reactive multi-objective optimizer

The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solutions. This work measures the impact of inaccurate and contradictory preference information on the quality of the solutions generated by the IDM methods. The investigation is done in the context of the BC-EMO algorithm, a recently proposed multi-objective genetic algorithm.
Virtual Machine No . 1 Virtual Machine No . 2 Virtual Machine No . 3 Kernel and Hypervisor Hardware ( CPU , RAM , NIC , etc ) Collector + Classifier

Wireless data centers (DCs) are enablers of reconfigurable data center network (DCN) topologies by augmenting the cabling complexity and inflexibility of traditional wired DCs. In this paper, we propose an optical traffic grooming (TG) for mice flows (MFs) and elephant flows (EFs) in a wireless DCN which is interconnected with free-space optical (FSO) links operating on wavelength division multiplexing (WDM). Since handling the bandwidth-hungry EFs along with delaysensitive MFs over the same network resources have undesirable consequences, proposed TG policy treat MFs and EFs separately. MFs/EFs destined to the same rack are groomed into larger rack-to-rack MF/EF flows over dedicated lightpaths whose routes and capacities are jointly determined taking the load balancing into account. Performance evaluations of proposed TG policy show a significant throughput improvement thanks to bandwidth efficient utilization of the wireless links. Therefore, proposed TG requires expeditious flow detection mechanisms which can immediately classify EFs with very high accuracy. Since these demands cannot be met by existing sampling and port-mirroring based solutions, we propose a lightweight and fast in-network flow detection (LightFD) mechanism with perfect accuracy. LightFD is designed as a module on the Virtual-Switch/Hypervisor, which detects EFs based on acknowledgment sequence number of flow packets. Emulation results show that LightFD can provide up to 500 times faster detection speeds than sampling-based methods with %100 detection accuracy. We also demonstrate that the EF detection speed has a considerable impact on achievable EF throughput.
Statistical Consequences of using Multi-armed Bandits to Conduct Adaptive Educational Experiments

Randomized experiments can provide key insights for improving educational technologies, but many students may experience conditions associated with inferior learning outcomes in these experiments. Multiarmed bandit (MAB) algorithms can address this issue by accumulating evidence from the experiment as it runs and modifying the experimental design to assign more helpful conditions to a greater proportion of future students. Using simulations, we explore the statistical impact of using MAB algorithms for experiment design, focusing on the tradeoff between acquiring statistically reliable information from the experiment and benefits to students. We consider how temporal biases in patterns of student behavior may impact the results of MAB experiments, and model data from ten previous educational experiments to demonstrate potential impacts of MAB assignment. Results suggest that MAB experiments can lead to much higher average benefits to students than traditional experimental designs, although at least twice as many participants are needed for acceptable statistical power. Using an optimistic prior distribution for the MAB algorithm mitigates the loss in power to some extent, without significantly reducing benefits to students. Additionally, longer experiments with MAB assignment still assign fewer students to a less effective condition than typical practice of a shorter experiment followed by choosing one condition for all future students. Yet, MAB assignment does increase false positive rates, especially if there are temporal biases in when students enter the experiment. Caution must thus be used when interpreting results from MAB assignment in cases where students can choose when to participate in the experiment. Overall, in scenarios where student characteristics do not vary over time, MAB experimental designs can be beneficial for students and effective for reliably determining which of two differing conditions is better given large sample sizes.
Three phase PWM converter/inverter by means of instantaneous active and reactive power control

A novel PWM (pulse-width-modulated) technique for the three-phase PWM converter/inverter is proposed. The instantaneous active and reactive power are used as the PWM control variables instead of the three-phase line currents. They are directly controlled by the PWM switching from the appropriate voltage vector selection. The features of the proposed PWM technique are simple construction, high efficiency, high response, and wide application. The principle of the PWM technique, the PWM control system, the control circuit, the control range, and the design indexes are described. Some simulation results and experimental results are shown. <<ETX>>
Performance of an H ∞ estimation based damage localization approach in the context of automated Structural Health Monitoring

A major step in Structural Health Monitoring is the extraction of damage sensitive features that indicate the state of an observed structure in terms of structural alterations. Research often concentrates on the localization of structural changes directly based on modal residues. Another approach is the examination of updated Finite Elements Models which represent the dynamic behavior of the monitored system. Those procedures rely on dynamic structural measurements such as accelerations, velocities or strains. Especially for the monitoring of large structures, the determination of damages or generally speaking positions of structural changes is still strongly desired. Therefore approaches are favourable which are solely based on dynamic measurements, robust calculations and independent from the extraction of modal parameters. This article deals with an existing method for damage detection and localization based on H∞ estimation theory and state projections (SP2E) (1). It is tested on measured acceleration data, gathered on a benchmark structure at the Los Alamos National Laboratories.This procedure is applied to the measurement data, representing either the healthy reference state or several damage states. A final step of the damage analysis is the execution of hypothesis tests. Special attention is paid to the robustness and stability of the method with respect to automatic applications. The presented contribution represents a benchmark comparison of a novel and rather unknown damage localization procedure which gives a baseline to compare other methodologies.
Designing Low Power and High Performance Network-on-Chip Communication Architectures for Nanometer SoCs

Network-on-Chip (NoC) communication architectures have been recognized as the most scalable and efficient solution for on chip communication challenges in the multi-core era. Diverse demanding applications coupled with the ability to integrate billions of transistors on a single chip are some of the main driving forces behind ever increasing performance requirements towards the level that requires several tens to over a hundred of cores per chip, with aggregate performance exceeding one trillion operations per second. Such tera-scale many-core processors will be highly integrated System-on-Chip designs (SoC) containing a variety of on-chip storage elements, memory controllers, and input/output (I/O) functional blocks. Small scale multicore processors so far have been a great commercial success and found applicability in high bandwidth, computer intensive applications including high performance, throughput oriented, scientific computing, high performance graphics and 3-D immersive visual interfaces, as well as in decision and support systems. Systems using multi-core processors are now the norm rather than the exception. As the number of cores or components integrated into a single system is keep increasing, the design of on-chip communication architecture is becoming more challenging. The increasing number of components in a system translates into more