Miracle-dz/UniFAR-FTUs huggingface dataset:
Theoretical Frame Orientation in the VCR as the first step to problem solving

One of the most important features determining successful adjustment and learning in the virtual classroom (VCR) is an individual’s ability to quickly, independently, and flexibly orient oneself in the new learning environment. It means grasping the idea of information-technological resources as well as the course organization with its academic, administrative, technical, and communicational requirements. In our pilot study, we investigated this ability of twenty five students enrolled in the author’s online psychology class in 2015. The research methodology included an analysis of the students’ preparation for their study and an evaluation of correlations of these data with students' previous online experience as well as academic performance demonstrated in the course. According to the results, 1) positive correlation between students’ effective orientation and their academic performance was found, 2) negative correlation between students’ orientation and their’ online experience was found, and 3) different students’ orientation strategies were identified that allow to predict students’ success in online classes. The results’ reliability was checked and mostly confirmed using a control population of 51 students. We conclude that farther enhancement of the online courses’ design should account for the potential difficulties in orientation in the VCR. New forms of instructional support are needed to help online students, especially beginners, obtain adequate knowledge of the VCR and develop skills for orientation and it. A better understanding of the instrument of learning allows for a more productive study of the course subject.
Graph Convolutional Networks for Cervical Cell Classification

Cervical cell classification is of important clinical significance in the screening of cervical cancer at early stages. In this paper, we present a novel cervical cell classification method based on Graph Convolutional Network (GCN). In contrast with Convolutional Neural Networks (CNN) which can classify cervical cells through learned deep features, the proposed method uses GCN to explore the image-level potential relationship for improving the classification performance. Specifically, each cervical cell image is represented by a pretrained CNN. k-means clustering is performed on these CNN features and then the graph structure is constructed where each node is characterized by one cluster centroid. Consequently, the image-level relationship can be captured in terms of intrinsic clustering structure. GCN is applied to propagate the underlying correlation of nodes and the relation-aware representation of GCN is incorporated to enrich the image-level CNN features. Experiments on the cervical cell image datasets demonstrate the effectiveness of our method.
Active Control of Fast-Ion-Stabilized Sawteeth by Electron-Cyclotron Current Drive on HL-2A

The effects of localized heating on the sawtooth period have been explored in HL-2A ECRH discharges and the simulations study. This set of results suggests the presence of a heating location, just inside the q = 1 surface, which is the most effective to destabilize sawteeth. Moreover, the dedicated experiments on HL-2A clearly demonstrate that ECCD can shorten sawteeth lengthened by the fast ions which produced by neutrol beam injection heating (NBI). The response of the sawtooth instability to ECCD seems to be largely, and the shortening proved to be very reliable despite the modest amounts of ECCD power applied.
PROJECT ON SYSTEM COMPLEXITY EFFECTS ON AIRCRAFT SAFETY : CANDIDATE COMPLEXITY METRICS

This special report describes the results from the second task of a two-year project to investigate the impact of system and software complexity on aircraft safety and certification for the Federal Aviation Administration. The first task focused on a literature review of what is known about complexity, definitions of complexity, and the causes and impacts of complexity. This second task focused on identifying candidate measures of complexity for systems with embedded software that relate to safety, assurability, or both. This report begins with the task specification, motivation, and definition of complexity. The second section provides general thoughts about measuring complexity, and then the primary outcome of this research task: the candidate metrics for complexity that could relate to aircraft safety and assurance, including descriptions, sources, and strengths and weaknesses of each measure. Additional information about some of these measures is included in the appendix. Section 3 discusses the relationship of complexity, and complexity measures, to system safety. It reports on conclusions from attempting to analyze impacts of complexity from reported accidents and then from incidents. A brief discussion of consequences of the growth of complexity follows.
Long-Term Unemployment and Technical Progress in an Open Growth-Matching Model

How does technical progress affect long-term unemployment in a small open economy? This relationship is evaluated in an open growth model extended by a Pissarides-style labor market approach. In the general equilibrium model, the labor market is characterized by two types of unemployed workers. International capital mobility represents the efficient intertemporal allocation of world resources. Depending on a growth condition, I show that an increase in the growth rate implies a favorable capitalization effect respectively an unfavorable creative destruction effect. Secondary effects in form of a stigmatization and a human capital depreciation effect are also generated that influence the unemployment duration and the fraction of long-term unemployment negatively. The higher the growth rates are, the larger the fraction of long-term unemployment. Due to the openness of economies, new technologies are easily spread into various countries, which increase the fraction long-term unemployed workers. JEL Classification: E24; F41; O41
Omnivorous Consumer or Omnivorous Producer ? : Patterns of Cultural Participation in Korea *

Studies on cultural omnivores have focused on consumption activities, largely overlooking cultural production activities. However, consumption and production activities are both essential fields of cultural participation. Through the use of comprehensive data about cultural consumption and production activities, this study attempts to explore patterns of cultural participation in Korea. It also investigates the determinants of these different patterns. Four major findings resulted from the study. First, four different types of cultural participation were derived: omnivorous prosumers, omnivorous consumers, omnivorous producers, and univores. Second, members of the new middle class, with higher educational levels and higher household incomes, are more likely to be omnivorous consumers or omnivorous prosumers. Third, demographic factors such as gender and age also have effects on the patterns of cultural participation in Korea. Lastly, it was revealed that the larger an individual’s social network, the greater the probability of being a cultural omnivore of any type. This study contributes to the expansion of the boundaries of prior discussions on cultural omnivores.
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

There are a lot of features that can be extracted from speech signals for different applications such as automatic speech recognition or speaker veriﬁcation. However, for pathological speech processing there is a need to extract features about the presence of the disease or the state of the patients that are comprehensible for clinical experts. Phonological posteriors are a group of features that can be interpretable by the clinicians and at the same time carry suitable information about the patient’s speech. This paper presents a tool to extract phonological posteriors directly from speech signals. The proposed method consists of a bank of parallel bidirectional recurrent neural networks to estimate the posterior probabilities of the occurrence of different phonological classes. The proposed models are able to detect the phonological classes with accuracies over 90%. In addition, the trained models are available to be used by the research community interested in the topic.
CVFEM coupled with FLO Scheme for Solution to Heat and Fluid Problems

Article history: Received 11 September 2018 Received in revised form 3 February 2019 Accepted 12 May 2019 Available online 15 July 2019 Nowadays, CVFEM has proved to be an effective method for solving real problems in CFD. Combining advantages of CVFDMs with those of FEMs results in an improved method, able to deal with complexes geometries, and satisfy local and global conservation principles. To solve dynamical field, a good scheme is always required for discretization of the convective terms. The FLO scheme is opted for in this study, because it is extracted as exact solution from a modified equation. The resolution procedure used is the SIVA. Coding this procedure is achieved using advanced instructions in Fortran 90/95. The presented results, prove a best agreement with benchmarks.
CRL第 10回宇宙関連分野研究談話会 1995年 1月 30日 CPM Transceivers Using a Limiter{Discriminator in Fading Channels

|We examine the performance of CPM signals using a receiver structure based on a limiter{dis{ criminator detector in a Rayleigh fading environment. Limiter{discriminator type detection is simple and robust and is therefore well{suited for mobile receivers. We propose a new receiver processing strategy that improves the performance of the system. We then examine the transmitter parameters to determine what type of CPM signals perform well. Coding is examined next. For the type of transceiver considered, we nd that a combination of bandwidth e cient modulation and convolutional coding performs best.
Two eyes : ffiffiffi 2 p better than one ?

Classical data on the detection of simple patterns show that two eyes are more sensitive than one eye. The degree of binocular summation is important for inferences about the underlying combination mechanism. In a signal detection theory framework, sensitivity is limited by internal noise. If noise is added centrally after binocular combination, binocular sensitivity is expected to be twice as good as monocular. If the noise is added peripherally at each eye prior to combination, binocular sensitivity will be ffiffiffi 2 p higher than monocular. In a large sample of observers (51), we measured contrast sensitivity for detection of gratings at several spatial frequencies using left, right, or both eyes. Estimates of binocular summation using both binocular summation ratios and Minkowski coefficients show a summation ratio with means in the range of 1.5–1.6. The 95% confidence interval overlaps with the value of ffiffiffi 2 p predicted by the peripheral noise model and does not overlap with the value of 2 predicted by the central noise model. 2009 Elsevier B.V. All rights reserved.
Direct Sound Transmission Loss of Heavy Gauge Steel Stud

In a recent study at the National Research Council of Canada, the direct sound transmission loss of heavy gauge steel stud walls was investigated. Mid-rise buildings (4 to 6 stories) using steel stud walls are becoming more and more common in North America. In addition to the steel studs, the walls typically include bridging channels and steel straps for bracing against lateral and shear loads. The sound transmission losses of more than thirty of the steel stud walls were measured in this study. The parameters that were varied between walls included the stud spacing, stud gauge, stud depth, cavity insulation, and sheathing. In addition to the standardized transmission loss tests, structural measurements were performed to investigate the e ect of stud sti ness and other parameters.
A Novel Method for Very-high Frequency Omni Range (VOR) Azimuth Error Correction using Kalman Filter for the Improvement of Aircraft Density

A novel method for error correction for Very-high frequency Omni Range (VOR) Azimuth is designed and tested. The basic principle behind the working of VOR is enumerated. In the generation of phase difference at the airborne receiver, various errors occur which impair the effective working of VOR. The aggregate value of these errors will be around ±5. Broadcom BCM2836R processor is used in the Linux environment with Mathematica10. Wolfram language is used to realize Kalman filter. Incorporating the proposed method, the aggregate error is successfully reduced to around ±1. This improvement will benefit the air operators to have more aircraft density surrounding any airport/VOR area.
ReqUIRemeNTs IDeNTIfICaTION fOR aN OpeN INNOvaTION pORTal

The development of regional innovation systems (RIS), aimed at the growth of a region, can be fostered by the use of a portal of open innovation (OI). The purpose of the article is to identify the requirements for a portal of OI to RIS. The work was conducted in two stages. Were initially identified the requirements for a portal SRI through analysis of the literature, interviews with experts in RIS, and analysis of portals of OI. The following are the requirements identified were prioritized using the QFD (Quality Function Deployment), and analyzed the perceptions of stakeholders using cluster analysis. 14 have been identified, seven of these requirements specific to an RIS. Cluster analysis indicated the existence of two groups of stakeholders to prioritize different requirements in a portal of OI for a RIS. The results make it possible to build a portal of OI that meets the specific needs of an RIS, in addition to indicate that the portal can be customized to meet the priorities of different stakeholders.
Fiduciary Obligations in the Presence of Multiple Classes of Stock

This paper develops a game theoretic framework to study the increasingly common conflict between common and preferred shareholders regarding whether to liquidate the firm or continue. In our model, common tend to inefficiently continue while preferred tend to inefficiently liquidate. Taking a cue from recent case law, we explore whether it is possible to use damages (for either “wrongful exit” or “wrongful continuation”) to align the interests of common and preferred in maximizing firm value. We show that there always exists an efficient damages rule if the interests of preferred shareholders control the exit/continue decision. When common control the decision, however, an efficient damages regime may either fail to exist or may require supracompensatory damages. Our framework also suggests that ex ante contracting need not give rise to an efficient damages rule, particularly if investment capital is relatively scarce. Our findings have implications for the ongoing debate about how to assign fiduciary duties and rights within privately held firms with multiple classes of stock.
Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services

We present a portfolio of natural legal language processing and document curation services currently under development in a collaborative European project. First, we give an overview of the project and the different use cases, while, in the main part of the article, we focus upon the 13 different processing services that are being deployed in different prototype applications using a flexible and scalable microservices architecture. Their orchestration is operationalised using a content and document curation workflow manager.
Bayesian Estimation of the ETAS Model for Earthquake Occurrences

The epidemic-type aftershock sequence (ETAS) model is widely used in seismic forecasting. However, most studies of ETAS use point estimates for the model parameters, which ignores the inherent uncertainty that arises from estimating these from historical earthquake catalogs, resulting in misleadingly optimistic forecasts. In contrast, Bayesian statistics allows parameter uncertainty to be explicitly represented and fed into the forecast distribution. Despite its growing popularity in seismology, the application of Bayesian statistics to the ETAS model has been limited by the complex nature of the resulting posterior distribution, which makes it infeasible to apply to catalogs containing more than a few hundred earthquakes. To combat this, we develop a new framework for estimating the ETAS model in a fully Bayesian manner, which can be efficiently scaled up to large catalogs containing thousands of earthquakes. We also provide easy-to-use software that implements our method.
Deep-sea bamboo corals from the Tasmanian seamounts : Isotopic evidence for benthic-pelagic coupling and centennial constancy of oceanographic conditions

Bamboo corals (Family Isididae) are an important component of seamount benthos in the Tasman Sea. Besides a lifespan of up to 400 years, little is known about their basic ecology, nor how to decode potential climate signals contained in their skeletons. We explored the stable N isotope and radiocarbon compositions of the organic fraction of bamboo coral skeletons collected from 3 seamounts southeast of Tasmania: Cascade Plateau (43.58 o S/150.22 o E; 900-1100 m water depth), Dory Hill (44.33 o N/147.14 o E, 1075-1656 m) and an unnamed seamount (44.19 o S/146.20 o E, 1050-1230 m). Analyses were performed on tissues and organic node growth rings sampled at a temporal resolution of 1-4 years. Radiocarbon chronologies exhibited bomb signals characteristic of surface waters, reconfirming that the skeletal organics are derived from recently fixed and exported particulate organic matter (POM). Radiocarbon chronologies constrained radial growth rates to ~ 0.035 ± 0.010 mm/yr for specimens of the genus Lepidisis and 0.113 ± 0.017 mm/yr for a colony of Isidella. δ 15 N values of the living tissue and underlying gorgonin were similar and averaged 9-12 ‰. Compared with previously published values for suspended and sinking POM collected in nearby waters the corals do not appear to feed directly on these food sources, but rather on higher trophic level intermediaries. Records of δ 15 N showed subtle, quasi-decadal patterns over the last ~100 years, although the amplitude of these features (~1 ‰) was similar to the average intraand inter-colony reproducibility. These results demonstrate the utility of deep-sea corals to track seamount biogeochemical processes over long time-scales, and suggest that the extent of nutrient depletion of surface waters and associated trophodynamics have remained relatively constant in this region over centennial timescales. This provides an important baseline for the evaluation of the impacts of anthropogenic climate change.
Mining Twitter Data for Landslide Events Reported Worldwide

The explosion of user generated content in social media published from mobile devices has led to the concept known as “citizen sensing. ” Although English has been adopted by many as a de facto standard international language, reports about events, such as disasters, are frequently provided by citizens in their local language in addition to English. Attempting to integrate citizen reports from many languages is a significant challenge. This article describes the tools that address this challenge to enable the support of citizen-sensing of landslide events reported worldwide. Multilingual support is based on the first unified cross-lingual dataset of word vectors for representing texts in multiple languages. The classification model based on the proposed cross-lingual word vectors outperforms the “native” and “translated” approaches based on monolingual word vectors. Furthermore, it does not require the creation of a separate training set in a local language or its translation to English.
Anthropometric and physiological factors affecting batted ball speed of adolescent baseball players

Fifty-seven junior baseball players performed eight swings off a tee to record ball exit speed, as well as tests of grip strength, standing broad jump, lateral-to-medial (LM) jumps, chin-ups and chest pass with a medicine ball. The height, weight and age of each participant was also recorded. All anthropometric and physiological tests were significantly positively correlated with ball speed (p < 0.05). Collinearity between variables meant that only chest pass (R2 = 0.70, p = 0.000), body mass (ΔR2 = 0.03, Δp = 0.021) and LM jump (ΔR2 = 0.04, Δp = 0.005) made independent contributions to a stepwise linear regression. These findings corroborate the expectation that upper body power is a major determinant of batting speed, with leg power adding an additional, independent contribution to performance.
Securing Virtualized FPGAs for an Untrusted Cloud

The business with cloud computing is steadily growing. More and more data center providers offer reconfigurable hardware to accelerate workloads in an energy efficiency way. Various frameworks for virtualization of these devices have been proposed, but security concerns of potential users have mostly been neglected. Other approaches focused on security, but did not provide the required virtualization capabilities. In this paper we extend an existing FPGA virtualization framework with crucial security features, including strong AES encryption and efficient elliptic curve cryptography. But only with the use of a TLS based protocol does this combination achieve a high level of security. It enables the confidential and secure transfer of sensitive data, including the configuration bitstreams of virtual FPGAs. They are decrypted by the FPGA hypervisor and checked for malicious modifications to protect other vFPGAs. This way the device can be virtualized while being secured and no sensible data is exposed to potentially vulnerable software.
Measurement problem of structural-parametric identification on supernovae type SN Ia for cosmological distances scale of red shift based

By data, on which basis within the limits of model Friedman –Robertson–Walker the conclusion has been drawn on tСe beРТnnТnР of «aММelerateН eбpansТon of UnТverse» about θ bТllТon years ago, the problem of calibration for interpolation models of distances scale with form parameter is solved. Accord ing to results of identification at them Doppler ТnterpretatТons Тn «UnТverse eбpansТon» about β. θζ–3.18 billion years ago there was pause. The pause was replaced by accelerated expansion which by modern epoch has degenerated in Hub ble's stream. On similar data of Sternberg Institute the interpolation model gives practically linear dependence of red shift on photometric distance.
RDO-based Secondary Prediction Scheme for Image Compression

Image compression plays an important role in information transmission. To further improve its efficiency, this paper proposes an rate-distortion optimization (RDO) based secondary prediction scheme. In this scheme, the block is predicted twice and the optimal prediction is chosen out with a content-based RDO. Specifically, the content property is introduced into prediction and a content-based RDO is proposed at first. Then, a secondary prediction scheme is developed and the block is predicted once again with a distance-based bi-directional prediction method. In order to verify the effectiveness of our scheme, it is incorporated into the latest test model of versatile video coding standard for image compression. Compared with existing image codecs, experimental results show that our codec has the lowest decoding complexity and achieves best quality at the similar compression ratio.
long-distance agreement

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