Miracle-dz/UniFAR-FTUs huggingface dataset:
Fragmentation and East Asia's information technology trade

This article studies the growth and determinants of information technology (IT) trade in the Asia-Pacific region. We argue that the rise of IT trade must be understood within the context of increasing vertical fragmentation of production processes that has occurred over the past two decades. To evaluate this empirically, we estimate a set of pooled bilateral IT export equations for eight Asian countries, the USA and the EU, where foreign direct investment (FDI) inflows are introduced as a proxy for fragmentation. We apply a panel cointegration approach that allows for heterogeneity in short-run dynamics and in fixed effects. Consistent with production fragmentation, we find that the evolution of IT trade can be explained in part by traditional income and relative price effects but also by FDI inflows.
Haptic around: multiple tactile sensations for immersive environment and interaction in virtual reality

In this paper, we present Haptic Around, a hybrid-haptic feedback system, which utilizes fan, hot air blower, mist creator and heat light to recreate multiple tactile sensations in virtual reality for enhancing the immersive environment and interaction. This system consists of a steerable haptic device rigged on the top of the user head and a handheld device also with haptics feedbacks to simultaneously provide tactile sensations to the users in a 2m x 2m space. The steerable haptic device can enhance the immersive environment for providing full body experience, such as heat in the desert or cold in the snow mountain. Additionally, the handheld device can enhance the immersive interaction for providing partial body experience, such as heating the iron or quenching the hot iron. With our system, the users can perceive visual, auditory and haptic when they are moving around in virtual space and interacting with virtual object. In our study, the result has shown the potential of the hybrid-haptic feedback system, which the participants rated the enjoyment, realism, quality, immersion higher than the other.
Intimacy 2.0: Privacy Rights and Privacy Responsibilities on the World Wide Web

This paper examines the idea of privacy in the world of ‘intimacy 2.0’, the use of Web 2.0 social networking technologies and multimedia for the routine posting of intimate details of users’ lives. It will argue that, although privacy is often conceived as a right with benefits that accrue to the individual, it is better seen as a public good, whose benefits accrue to the community in general. In that case, the costs of allowing invasions of one’s privacy do not solely fall on the individual who is unwise enough to do so, but also on wider society.
Lake morphometry moderates the relationship between water color and fish biomass in small boreal lakes

Lake morphometry may moderate the effects of water color on fish biomass in boreal lakes, but empirical evidence is scarce because there are a limited number of lakes for which both water color and bathymetry have been measured. We evaluated variations in catch‐per‐unit‐effort (CPUE), an indicator of fish biomass, across orthogonal gradients of light extinction and mean depth in 16 small Swedish lakes (mean depth 1.7–4.8 m, surface area 1–10 ha). Multiple regression coefficients indicated that the effect of light extinction on CPUE was negative, and that the relationship was more negative for deeper lakes than it was for shallower lakes. The pattern was strongest for lakes with mean depths between 2.1 m and 3.5 m. We estimated that 26% of small lakes in boreal Sweden fall within this mean depth range. These results contribute to the growing understanding of how variations in water color and lake morphometry influence patterns of fish biomass across the boreal landscape.
Exploring the Use of Video-Clips for Motivation Building in a Secondary School EFL Setting.

By employing an action research framework, this study evaluated the effectiveness of a video-based curriculum in motivating EFL learners to learn English. Fifteen Korean EFL students at the secondary school context participated in an 8-week English program, which employed video clips including TED talk replays, sitcoms, TV news reports and movies as its main study material. Results from the motivation surveys (adapted from Gardner, 1985) and interviews with students showed that 1) after taking the class, students became more motivated, especially in terms of gaining a positive attitude for the English language and culture, and 2) competitive group activities that followed the watching of video materials positively influenced student participation. Implications for EFL classrooms with low student motivation are discussed.
A new paradigm for BCI research

A new control paradigm for Brain Computer Interfaces (BCIs) is proposed. BCIs provide a means of communication direct from the brain to a computer that allows individuals with motor disabilities an additional channel of communication and control of their external environment. Traditional BCI control paradigms use motor imagery, frequency rhythm modification or the Event Related Potential (ERP) as a means of extracting a control signal. A new control paradigm for BCIs based on speech imagery is initially proposed. Further to this a unique system for identifying correlations between components of the EEG and target events is proposed and introduced.
Global Contrast Enhancement Detection via Deep Multi-Path Network

Identifying global contrast enhancement in an image is an important task in forensics estimation. Several previous methods analyze the “peak-gap” fingerprints in graylevel histograms. However, images in real scenarios are often stored in the JPEG format with middle/low compression quality, resulting in less obvious “peak-gap” effect and then unsatisfactory performance. In this paper, we propose a novel deep Multi-Path Network (MPNet) based approach to learn discriminative features from graylevel histograms. Specifically, given the histograms, their high-level peaks and gaps information can be exploited effectively after several shared convolutional layers in the network, even in middle/low quality compressed images. Moreover, the proposed multi-path module is able to focus on dealing with specific forensics operations for more robustness on image compression. The experiments on three challenging datasets (i.e., Dresden, RAISE and UCID) demonstrate the effectiveness of the proposed method compared to existing methods.
Training deep nets on probabilistic knowledge bases by exploiting ontological constraints

We propose a deep learning architecture that encodes a probabilistic knowledge base enriched with relevant logical constraints over the observed assertions, in order to learn suitable embeddings for different downstream tasks such as Automatic Refinement, Link Prediction, etc. Our experiments show that leveraging logical constraints on top of probabilistic assertions in an end-to-end differentiable fashion is effective and improves system performance over other, similar algorithms without requiring additional supervision even when used in large, constraint-rich knowledge bases.
Solar Reserve Methodology for Renewable Energy Integration Studies Based on Sub-Hourly Variability Analysis: Preprint

Increasing penetrations of wind a solar energy are raising concerns among electric system operators because of the variability and uncertainty associated with power sources. Previous work focused on the quantification of reserves for systems with wind power. This paper presents a new methodology that allows the determination of necessary reserves for high penetrations of photovoltaic (PV) power and compares it to the wind-based methodology. The solar reserve methodology is applied to Phase 2 of the Western Wind and Solar Integration Study. A summary of the results is included.
Advanced retrievals of multilayered cloud properties using multispectral measurements

Received 6 June 2004; revised 2 September 2004; accepted 4 October 2004; published 13 April 2005. [1] Current satellite cloud retrievals are usually based on the assumption that all clouds consist of a homogenous single layer despite the frequent occurrence of cloud overlap. As such, cloud overlap will cause large errors in the retrievals of many cloud properties. To address this problem, a multilayered cloud retrieval system (MCRS) is developed by combining satellite visible and infrared radiances and surface microwave radiometer measurements. A two-layer cloud model was used to simulate ice-over-water cloud radiative characteristics. The radiances emanating from the combined low cloud and surface are estimated using the microwave liquid water with an assumption of effective droplet size. These radiances replace the background radiances traditionally used in single-layer cloud retrievals. The MCRS is applied to data from March through October 2000 over four Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) sites. The results are compared to the available retrievals of ice water path (IWP) from radar data and show that the MCRS clearly produces a more accurate retrieval of ice-over-water cloud properties. MCRS yields values of IWP that are closest to those from the radar retrieval. For ice-over-water cloud systems, on average, the optical depth and IWP are reduced, from original overestimates, by approximately 30%. The March–October mean cloud effective temperatures from the MCRS are decreased by 10 ± 12K,whichtranslatestoanaverageheightdifferenceof � 1.4km. Theseresultsindicatethat ice-cloud height derived from traditional single-layer retrieval is underestimated, and the midlevel ice cloud coverage is over classified. Effective ice crystal particle sizes are increased by only a few percent with the new method. This new physically based technique should be robust and directly applicable when data are available simultaneously from a satellite imager and the appropriate satellite or surface microwave sensor.
An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity

Abstract Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for WM. Here, we investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. We propose a WM indexing theory that explains how PFC could associate, maintain, and update multimodal LTM representations. Our simulations demonstrate how simultaneous, brief multimodal memory cues could build a temporary joint memory representation as an “index” in PFC by means of fast Hebbian synaptic plasticity. This index can then reactivate spontaneously and thereby also the associated LTM representations. Cueing one LTM item rapidly pattern completes the associated uncued item via PFC. The PFC–STM network updates flexibly as new stimuli arrive, thereby gradually overwriting older representations.
For Review Only Fourier Transform of Hydrogen Type Atomic Orbitals

Hydrogen type atomic orbitals (HTOs) are important part of other exponential type orbitals (ETOs). These orbitals have some mathematical properties and they are used usually in the theoretical atomic and molecular investigations as special functions to figure out analytical expressions. Fourier transform method (FTM) is a great way to denote basis functions into the momentum space. Because, their Fourier transforms are easier to use in mathematical calculations. In this paper, we obtain new and useful mathematical representations for the Fourier transform of HTOs related with Gegenbauer polynomials and hypergeometric functions, by using recurrence relations of Laguerre polynomials, Rayleigh expansion and some properties of normalized HTOs.
EFFECT OF TABLET EXCIPIENTS ON MUCOADHESIVE PROPERTIES OF POLYOXYETHYLENE AND CARBOPOL 971P

The aim of present study was to investigate the effect of tablet excipients on the observed in vitro mucoadhesion combination of two representative polymers Polyoxyethylene and Carbopol 971P to make inferences on the possible mechanisms of actions of the mucoadhesives and those materials which interact with them. In this study the effect commonly used tablet excipients on the observed mucoadhesion of combination of Carbopol 971P and Polyoxyethylene has been studied. It was found that tablet diluents, however, do appear to have a significant influence on the observed mucoadhesion in this system. The effect of a range of surfactants (non-ionic, cationic and anionic), on mucoadhesion was quantified, as is the influence of some salts and a chelating agent. It is concluded that the addition of additives to gastric mucoadhesive formulations can crucially influence the ability of the dosage form to bind to the goat stomach in this test system. Tablet diluents when used in concentration of 5%, reduces the adhesion of polymers to gastric mucosa whereas disintegrant like starch reduce the adhesion force of polymers. Binder, PVP K30 on the other hand increases the mucoadhesion of polymeric discs. Surfactants, Cyclodextrin, EDTA have not shown any significant effect on mucoadhesion between goat mucosa and polymers. From the above study it was concluded that addition of tablet excipient to Gastro-retentive mucoadhesive formulation significantly affects the mucoadhesion time of dosage form. This fact may be useful for development of Gastro-retentive dosage form of antimicrobial drugs like metronidazole, ofloxacin and acyclovir.
Growth and development rates of the copepod Calanus finmarchicus reared in the laboratory

Development rates, nitrogen- and carbon-specific growth rates, size, and condition were determined for the copepod Calanus finmarchicus reared at 3 temperatures (4, 8, and 12°C) at non-limiting food concentrations and 2 limiting food concentrations at 8°C in the laboratory. Devel- opment rates were equiproportional, but not isochronal. Naupliar stage durations were similar, except for non-feeding stages, which were of short duration, and the first feeding stage, which was prolonged, while copepodite stage durations increased with increasing stage of development. Under limiting food concentrations at 8°C, development rates were prolonged but similar relative patterns in stage durations were observed. Body size (length and weight) was inversely related to temperature and positively related to food concentration. Condition measurements were not affected by tempera- ture, but were positively related to food concentration. Growth rates increased with increasing tem- perature and increased asymptotically with increasing food concentration. At high food concentra- tions, growth rates of naupliar stages were high (except for individuals molting from the final naupliar stage to the first copepodite stage, in which growth rates were depressed), while growth of copepodites decreased with increasing stage of development. Neither nitrogen nor carbon growth rates, the former a proxy for structural growth, were exponential over the entire life cycle, but rather sigmoidal. Carbon-specific growth rates were greater than nitrogen-specific growth rates, and this difference increased with increasing stage of development, reflecting an augmentation in lipid depo- sition in the older stages. However, nitrogen and carbon growth rates were more similar under food- limited conditions. Based on this study, we recommend that secondary production rates of Calanus finmarchicus and possibly other lipid-storing copepods not be estimated from egg production mea- surements alone, as has been suggested for other species of copepods, because growth, including structural growth, is not equivalent for all stages.
The Role of Ombudsmen in Assuring Quality for Residents of Long-Term Care Facilities: Straining to Make Ends Meet

long-term care facilities has been a serious and continuing concern of policymakers for decades. The Older Americans Act’s long-term care ombudsman program is a consumer advocacy model intended to improve quality of care by helping the 2.5 million residents of almost 67,000 nursing and other residential care facilities resolve complaints about their care and protect their rights. Despite broad recognition of its value in assisting residents and its efforts to complement federal and state oversight of long-term care facilities, some observers are concerned about the program’s ability to meet its legislative mandates. Limited funding affects the ability of many states to meet minimum staffing goals recommended by the Institute of Medicine (IOM). Also, in most states, ombudsmen do not conduct regular quarterly visits to longterm care facilities. This background paper discusses the role of long-term care ombudsmen and highlights selected issues regarding the capacity of the program to promote quality care and advance the rights of residents. Backg round Pa P e r No. 71
Prepared for submission to JCAP String Inflation After Planck 2013

We briefly summarize the impact of the recent Planck measurements for string inflationary models, and outline what might be expected to be learned in the near future from the expected improvement in sensitivity to the primordial tensor-to-scalar ratio. We comment on whether these models provide sufficient added value to compensate for their complexity, and ask how they fare in the face of the new constraints on non-gaussianity and dark radiation. We argue that as a group the predictions made before Planck agree well with what has been seen, and draw conclusions from this about what is likely to mean as sensitivity to primordial gravitational waves improves. a rX iv :1 30 6. 35 12 v2 [ he pth ] 3 S ep 2 01 3
A measure of group dissimilarity for psychological attributes

Group functioning and performance in different contexts is related to the extent to which group members are complementary or supplementary in terms of psychological attributes. This paper describes a procedure for quantifying the degree of dissimilarity at group level. Unlike most existing techniques the one described here is normalized and is both location and scale invariant, thereby making it suitable for comparing dissimilarity on interval and ratio scales with different ranges and in groups of different sizes. Dissimilarity is measured in relative terms regardless of the exact place on the scale at which individuals are located. When a combination of several scales is not theoretically justified, the dissimilarity for each scale can be quantified. Additionally, dyadic and individual contributions to either the global or scale index can be obtained. The descriptive measures are complemented by statistical significance values in order to compare the results obtained with several discrete distributions of reference, both symmetrical and skewed, which can be specified using the expressions developed. The information that can be provided by the indices and the p values ‐ both obtainable through an R package ‐ is illustrated using data from an empirical study.
NMF based front-end processing in multi-channel distant speech recognition

The submitted system for CHiME-5 challenge focuses on implementing a better front-end for an automatic speech recognition (ASR) system trained on the data provided by CHiME-5. In this work, we focus on using non-negative matrix factorization (NMF) based technique to denoise and dereverberation. In Approach 1, the degraded single-channel speech utterances were enhanced using multi-channel Weighted prediction error (WPE) or NMF followed by a minimum variance distortionless response (MVDR) beamformer to obtain an enhanced signal. In Approach 2, we used multi-channel MVDR followed by a NMF based single-channel enhancement. Using the baseline acoustic model (AM), these enhanced speech utterances did not provide improved WER compared to the baseline Beamformit based system. So, we retrained the AM using WPE enhanced data for training (Approach 3). These approaches were able to improve the ASR results as compared to baseline. We are submitting results for the single-array track and only focus on acoustic robustness (i.e., ranking A).
Bringing Order to Chaos - A Compact Representation of Partial Order in SAT-Based HTN Planning

HTN planning provides an expressive formalism to model complex application domains. It has been widely used in realworld applications. However, the development of domainindependent planning techniques for such models is still lacking behind. The need to be informed about both statetransitions and the task hierarchy makes the realisation of search-based approaches difficult, especially with unrestricted partial ordering of tasks in HTN domains. Recently, a translation of HTN planning problems into propositional logic has shown promising empirical results. Such planners benefit from a unified representation of state and hierarchy, but until now require very large formulae to represent partial order. In this paper, we introduce a novel encoding of HTN Planning as SAT. In contrast to related work, most of the reasoning on ordering relations is not left to the SAT solver, but done beforehand. This results in much smaller formulae and, as shown in our evaluation, in a planner that outperforms previous SAT-based approaches as well as the state-of-the-art in search-based HTN planning.
Buyer–Seller Interactions in Mature Industrial Markets: Blurring the Relational–Transactional Selling Dichotomy

Sales practitioners continue to come to terms with the selling conditions of mature consumer and business markets. Mature markets display signs such as cost-focused competition, similarity in the perceived functionality of offerings, and multiple suppliers vying for highly knowledgeable and powerful customers. While researchers have noted that in mature industrial markets the relationship to sales personnel can be an important differentiator for buyers, sales research has not specifically examined the consequences of market maturity on the conditions and modes of selling in these markets. In addressing this gap in research, this paper examines the effects of market maturity on the relationships between selling personnel and their customers by presenting case study research from a mature industrial market for chemistry products: the North Sea oil industry.
Does Being an Open Person Help to Reduce Stress

The purpose of this study is to determine the relationship between openness in communication, both computer-mediated and face-to-face with stress level. This study seeks to test four different hypotheses; the first is that the greater the willingness to be open and self-disclose with a wide group of friends, the lower the perceived levels of stress. The second hypothesis predicts that when there is lower concern for privacy, there are lower perceived levels of stress. The third is that greater willingness to share both negative and positive information about oneself would be related to lower perceived levels of stress. Lastly, the study sought to test if participants’ openness on Facebook would be positively associated with their general attitudes about openness. The study was comprised of 599 participants who possessed a Facebook profile and were above the age of 18, who answered questions about their openness, stress, and Facebook activity. The first three hypotheses in this study are not supported by the data; it was found that there is no significant relationship between any of the openness variables and stress. The findings suggest that being an open and emotive person is not as beneficial to health, and specifically stress, as previous studies have shown. However, the research found that there is a significant relationship between one’s openness on Facebook and his or her general attitude about openness. The result of the analysis has led us to believe that openness and its benefits are more contextual than previously known.