Miracle-dz/UniFAR-FTUs huggingface dataset:
DOA Estimation Using Log Penalty under Large Arrays

This paper proposes a new direction-of-arrival (DOA) estimation algorithm, which is suitable for the scenario that the number of sensors is large, and is comparable with the number of samples in magnitude. Instead of utilizing classical subspace technique, sparse-recovery-based approach with log penalty is exploited. In detailed implementation, we use DC (Difference of Convex function) decomposition to solve the non-convex optimization problem, and weighted L1-norm penalty to provide the initial estimation, where the weights are constructed via the orthogonality between the noise subspace and signal subspace in large-scale random matrix theory framework. As a result, an improved DOA estimation performance is achieved. Simulation results validate the effectiveness of the proposed algorithm. Introduction Direction-of-arrival (DOA) estimation is an important issue in array signal processing fields, such as mobile communication systems, radar, sonar and acoustic tracking [1-2]. Existing DOA estimation algorithms mostly assume that the sensor number is fixed, while the snapshot number tends to infinity. In constrast, the sensor number is large, but the snapshot number is limited in actual detecting systems. In this situation, the consistency of classical statistical theory based DOA estimation algorithms, such as Capon [3], MUSIC [4] and ESPRIT [5], is no longer satisfied, and the robustness is hard to be guaranteed. In order to provide improved DOA estimation performance under the scenario that both the number of sensors and the number of samples are large, and are comparable in magnitude. Xavier et al [6] first obtain some asymptotic results about MUSIC spatial spectrum function based on random matrix theory, and then apply them for DOA estimation. This algorithm (termed as G-MUSIC) outperforms the classical MUSIC algorithm in large array and finite sample-size situation. Recently, a different framework, namely sparse signal recovery, has been introduced in signal processing field, and many algorithms based on this framework including FOCUSS [7], L1-SVD [8], NSW-L1 [9] and JLZA [10] have been presented for DOA estimation. These kinds of algorithms show salient advantages in comparison with subspace based algorithm, such as high resolution and suitable for low samples number. By fully using sparse recovery and the asymptotic results obtained via random matrix theory, this paper proposes another DOA estimation algorithm under large arrays. Instead of utilizing general L1-norm penalty, a more appropriate log penalty [11] is exploited. Through jointly using DC decomposition [12] and the orthogonality between the noise subspace and signal subspace, the non-convex optimization problem is solved 196 Advances in Computer Science Research (ACRS), volume 54 International Conference on Computer Networks and Communication Technology (CNCT2016)
SPEED PERCEPTION 1: DRIVERS' JUDGEMENTS OF SAFETY AND SPEED ON URBAN AND RURAL STRAIGHT ROADS

This project was undertaken to evaluate the role of the type of road and road width, roadside development, travel speed, driving experience and the sex of the driver on estimates of safety and travel speed. A preliminary study showed that laboratory testing using 16 mm movie film stimulus materials was suitable for testing road speed perception. Three factorial design experiments were performed using urban, rural and semi-rural road scenes in which the independent variables were systematically manipulated. Slash-line responses of safe operation speed and travel speed estimates in km/h were collected from 108 licensed drivers, recruited as subjects. Free speed measurements were also collected at each test site where practical. The results showed that the presentation speed had the strongest effect on the subjects' judgements. The type of road also influenced speed perception while roadside development effects were dependent upon the type of environment (urban or rural) and the road category. Driver experience did not unduly affect the results, although the sex of the driver had a slight influence on the data. Recommendations are made for further research in this area to establish potential countermeasures against speeding.
THE AUTHENTICATION AND CHARACTERIZATION OF GLASS OBJECTS EXCAVATED FROM TELL ES-SUKHNAH, JORDAN

A sample of 29 glasses uncovered from Tell Es-Sukhnah, Jordan, has been subjected for XRF analysis. The group of sample consisted of two main categories: samples from glass vessels and glass bracelets. The main aim of this analysis is to identify and authenticate the raw materials used in glass production, manufacture technology and the technical choices related to glass objects from the Roman to Byzantine and Islamic occupations at the site. Chronologically speaking, the chemical analysis of the samples enables the distinguishing between Roman soda natron glass and Islamic soda plant ash glass at this freshly excavated site. The most important observation was that the transition in the use of traditional methods and of the same sources of raw materials for glass-making occurred, with obvious modifications, from natron to plant ash and from calcium-rich sand to calcium -free sand through the period from 1st to10th century AD at this southern Levantine site.
Quantifying the light absorption and source attribution of insoluble light-absorbing particles on Tibetan Plateau glaciers between 2013 and 2015

Abstract. The deposition of insoluble light-absorbing particles (ILAPs) on snow and ice surfaces can significantly reduce albedo, thereby accelerating the melting process. In this study, 67 ice samples were collected from seven glaciers located on the Tibetan Plateau (TP) between May 2013 and October 2015. The mixing ratios of black carbon (BC), organic carbon (OC), and mineral dust (MD) were measured with an integrating sphere/integrating sandwich spectrophotometer (ISSW) system, which assumes that the light absorption of MD is due to iron oxide (Fe). Our results indicate that the mass-mixing ratios of BC, OC, and Fe exhibit considerable variability (BC: 10–3100 ng g−1; OC: 10–17 000 ng g−1; Fe: 10–3500 ng g−1) with respective mean values of 220±400 ng g−1, 1360±2420 ng g−1, and 240±450 ng g−1 over the course of the field campaign. We observed that for wavelengths of 450–600 nm, the measured light absorption can be largely attributed to the average light absorption of BC (50.7 %) and OC (33.2 %). Chemical elements and selected carbonaceous particles were also analyzed for source attributions of particulate light absorption based on a positive matrix factorization (PMF) receptor model. Our findings indicate that on average, industrial pollution (33.1 %), biomass or biofuel burning (29.4 %), and MD (37.5 %) constitute the principal sources of ILAPs deposited on TP glaciers.
Chapter 8 DECISION-MAKING MODELS AND CAREER GUIDANCE

Career-related choices are among the most important decisions people make during their lifetime. These choices have significant long-term implications for individuals’ lifestyles, emotional welfare, economic and social status, as well as their sense of personal productivity and contribution to society. Therefore, it is only natural that individuals at different stages of their lives are preoccupied with career choices (e.g., Campbell & Cellini, 1981; Gati, Saka, & Krausz, 2001; Super, 1980). Moreover, although almost all people make career choices, many people face difficulties in this area (e.g., Amir, Gati, & Kleiman, 2008; Osipow, 1999; Rounds & Tinsley, 1984; Tinsley, 1992). Although it seems natural to refer to career choices as acts of decision-making, and therefore to examine and analyse them in terms of decision theories, this approach has not been adopted as the dominant framework for career guidance and counselling, for reasons discussed below. Rather, other theoretical approaches dominate the field: (a) career development theories (e.g., Ginzberg, Ginsburg, Axelrad, & Herma, 1951; Gottfredson, 1981; Mitchell & Krumboltz, 1990; Roe, 1956; Savickas, 2005; Super, 1972, 1990), which tend to focus on the developmental circumstances in which decisions are made, including changes that occur in the individual’s preferences, career maturity and adaptability, and the effects of these changes on the career decision, and (b) the Person-Environment Fit (P-E Fit) approach (e.g., Dawis & Lofquist, 1984; Holland, 1997), which typically focuses on the congruence between individuals and their environment, that is, on the outcomes of the decision-making process. This chapter explores some of the shortcomings of these two approaches, namely, the lack of reference to the essence of the career decision-making process, and suggests ways of addressing these shortcomings by conceptualising career decision making from a decision-theory perspective. It is suggested to adopt the view that the goal of career guidance and counselling is helping clients make better career decisions. To achieve this goal, a theory that focuses on understanding the
Deep JVLA Imaging of GOODS-N at 20 cm

New wideband continuum observations in the 1–2 GHz band of the GOODS-N field using NSF’s Karl G. Jansky Very Large Array (VLA) are presented. The best image with an effective frequency of 1525 MHz reaches an rms noise in the field center of 2.2 μJy, with 1. ″6 resolution. A catalog of 795 sources is presented covering a radius of 9 arcminutes centered near the nominal center for the GOODS-N field, very near the nominal VLA pointing center for the observations. Optical/NIR identifications and redshift estimates both from ground-based and HST observations are discussed. Using these optical/NIR data, it is most likely that fewer than 2% of the sources without confusion problems do not have a correct identification. A large subset of the detected sources have radio sizes >1″. It is shown that the radio orientations for such sources correlate well with the HST source orientations, especially for z < 1. This suggests that a least a large subset of the 10 kpc-scale disks of luminous infrared/ultraluminous infrared galaxies (LIRG/ULIRG) have strong star formation, not just in the nucleus. For the half of the objects with z > 1, the sample must be some mixture of very high star formation rates, typically 300 M⊙ yr−1, assuming pure star formation, and an active galactic nucleus (AGN) or a mixed AGN/star formation population.
The Impact of Gamification on Self-Assessment for English Language Learners in Saudi Arabia

 Abstract — Continuous self-assessment becomes crucial in self-paced online learning environments. Students often depend on themselves to assess their progress; which is considered an essential requirement for any successful learning process. Today’s education institutions face major problems around student motivation and engagement. Thus, personalized e-learning systems aim to help and guide the students. Gamification provides an opportunity to help students for self-assessment and social comparison with other students through attempting to harness the motivational power of games and apply it to the learning environment. Furthermore, Open Social Student Modeling (OSSM) as considered as the latest user modeling technologies is believed to improve students’ self-assessment and to allow them to social comparison with other students. This research integrates OSSM approach and gamification concepts in order to provide self-assessment for English language learners at King Abdulaziz University (KAU). This is achieved through an interactive visual representation of their learning progress.
Rapid Communication A New Approach to Study the Relationship between Calcium Waves and Diastolic [ Ca 2 + ] i in Heart Muscle Cells

In the present study, changes in calcium waves with alternation of diastolic [Ca2+]i were investigated in a single common rat neonatal cultured heart muscle cell without changes in extracellular conditions. Heart muscle cells were loaded with fluo-3 by the "whole cell clamp" te chnique. Rapid changes in diastolic [Ca2+]i by variations in the membrane potential clarified the influences on calcium waves. When the membrane potential was held at 0 mV, inter wave basal [Ca2+]i were maintained at a high level. The membrane-holding potential was then momentarily altered to -80 mV and the basal [Ca2+]i registered a lower level within 1 sec. During these events, spontaneous calcium waves were analyzed by confocal laser scanning microscopy (X-t scanning mode). The frequency and velocity of calcium waves at 0 mV significantly increased compared with those at-80 mV. Moreover, these changes were more pronounced with increasing extracellular [Ca2+]. These results suggest that diastolic [Ca2+]i; directly influences calcium waves.
Collaborative Computation Offloading for Multi-access Edge Computing

Computation offloading is a proven successful paradigm for enabling resource-intensive applications on the mobile devices in multi-access edge computing (MEC) network. Moreover, in view of emerging mobile collaborative application (MCA), the offloaded tasks can be duplicated when multiple users are in the same proximity. This motivates us to design novel collaborative offloading schemes. In this context, we first consider the MEC offloading scenario, where multiple mobile users offload duplicated computation tasks to the network edge servers, and share the computation results among them. Our goal is to develop the optimal fine-grained collaborative offloading strategies with data caching enhancements to minimize the overall execution delay at the mobile terminal side. Next, we extend the MEC offloading to hybrid offloading (i.e., joint MEC and Device-to-Device (D2D) offloading) with social relationship consideration, and propose a hybrid D2D multicast-based task execution framework to achieve an energy-efficient task assignment policy for mobile users. To overcome the great complexity for the deployment problems, we then formulate the offloading decision problem as a multi-label classification problem and develop the Deep Supervised Learning (DSL) method to achieve a rapid offloading decisions making, as well as minimize the computation and offloading overhead. Last but not least, we evaluate their performance through extensive numerical study, which shows the superior performance of the proposed scheme.
J un 2 01 6 Probabilistic Interpretation for Correntropy with Complex Data

Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher-order statistical moments in nonGaussian noise environments. Although it has been used with complex data, some adaptations were then necessary without deriving a generic form so that similarities between complex random variables can be aggregated. This paper presents a novel probabilistic interpretation for correntropy using complex-valued data called complex correntropy. An analytical recursive solution for the maximum complex correntropy criterion (MCCC) is introduced as based on the fixed-point solution. This technique is applied to a simple system identification case study, as the results demonstrate prominent advantages regarding the proposed cost function if compared to the complex recursive least squares (RLS) algorithm. By using such probabilistic interpretation, correntropy can be applied to solve several problems involving complex data in a more straightforward way.
Phonetic lapse in American English -ative

This article argues that constraints regulating the distribution of metrical prominence must be able to reference fine-grained durational information. Evidence comes from an apparent segmental effect on stress in American English - ative : stress on - at - is more likely when it is preceded by an obstruent or a cluster (as in irrigative , integrative ) than when it is preceded by a vowel or a sonorant consonant (as in palliative , speculative ; Nanni 1977). I propose that this pattern should be understood as an effect of phonetically evaluated *L APSE : longer lapses are penalized more severely than shorter ones. Results from two studies of speaker preferences for stress placement in nonce - ative forms support this proposal.
The Reality-Virtuality Interaction Cube: A Framework for Conceptualizing Mixed-Reality Interaction Design Elements for HRI

There has recently been an explosion of work in the human-robot interaction (HRI) community on the use of mixed, augmented, and virtual reality. We present a novel conceptual framework to characterize and cluster work in this new area and identify gaps for future research. We begin by introducing the Plane of Interaction: a framework for characterizing interactive technologies in a 2D space informed by the Model-View-Controller design pattern. We then describe how Interactive Design Elements that contribute to the interactivity of a technology can be characterized within this space and present a taxonomy of mixed-reality interactive design elements. We then discuss how these elements may be rendered onto both reality- and virtuality-based environments using a variety of hardware devices and introduce the Reality-Virtuality Interaction Cube: a three-dimensional continuum representing the design space of interactive technologies formed by combining the Plane of Interaction with the Reality-Virtuality Continuum. Finally, we demonstrate the feasibility and utility of this framework by clustering and analyzing the set of papers presented at the 2018 VAM-HRI workshop.
Edinburgh Research Explorer Trump vs. Hillary: What went Viral during the 2016 US Presidential Election

In this paper, we present quantitative and qualitative analysis of the top retweeted tweets (viral tweets) pertaining to the US presidential elections from September 1, 2016 to Election Day on November 8, 2016. For everyday, we tagged the top 50 most retweeted tweets as supporting or attacking either candidate or as neutral/irrelevant. Then we analyzed the tweets in each class for: general trends and statistics; the most frequently used hashtags, terms, and locations; the most retweeted accounts and tweets; and the most shared news and links. In all we analyzed the 3,450 most viral tweets that grabbed the most attention during the US election and were retweeted in total 26.3 million times accounting over 40% of the total tweet volume pertaining to the US election in the aforementioned period. Our analysis of the tweets highlights some of the diﬀerences between the social media strategies of both candidates, the penetration of their messages, and the potential eﬀect of attacks on both.
The Difference Between Physalin Standardized Extract from Pysalis Angulata . L and Control on Pancreatic Function of Sprague Dawley Rat Induced by Streptozotocin-Nicotinamide

Diabetes mellitus (DM) is a metabolic disorder of carbohydrate, fat, and protein characterized by chronic hyperglycemia conditions. Oxidative stress due to hyperglycemia in patients with diabetes may fasten the process of pancreatic tissue damage. Physalis angulata L or Ciplukan herb is one of Indonesian medicinal plants that has been used traditionally and empirically proven as an antidiabetic. Objective the study was determine whether there is a difference between physalin standardized extract from Physalis angulata L and control on pancreatic function of Sprague Dawley rat induced by Streptrozotocin-Nicotinamide. The study was true experimental research design with a post-test only control group design. The subjects of this study were 32 male Sprague Dawley rat induced by Streptozotocin and Nicotinamide. The extract was given a dose of 20 mg / kg for 21 days. At the end of the study, pancreas organs were taken for histological preparations. There were continued by observed of the diameter of Langerhans islets. Normality test data Kolmogorov Smirnof was to determine the differences analysed by t-test. There was a significant difference between the diameter of the islets of Langerhans treatment and control group (p = 0.001). The provision of physalin standardized extract from Physalis angulata L at a dose of 20 mg / kg BW can repair the size of the islets of Langerhans. The treatment can prevent oxidative stress and are able to maintain cell function of pancreas.
Pair hopping in systems of strongly interacting hard-core bosons

We have used the Stochastic Series Expansion quantum Monte Carlo method to study interacting hard-core bosons on the square lattice, with pair-hopping processes supplementing the standard single-particle hopping. Such pair hopping arises in effective models for frustrated quantum magnets. Our goal is to investigate the effects of the pair hopping process on the commonly observed superfluid, insulating (Mott), and super-solid ground-state phases in the standard hard-core boson model with various interaction terms. The model is specifically motivated by the observation of finite dispersion of 2-magnon bound states in neutron diffraction experiments SrCu$_2$(BO$_3$)$_2$. Our results show that the pair hopping has different effects on Mott phases at different filling fractions, "melting" them at different critical pair-hopping amplitudes. Thus, it appears that pair hopping may have an important role in determining which out of a potentially large number of Mott phases (stabilized by details of the charge-diagonal interaction terms) actually survive the totality of quantum fluctuations present.
Title Efficient notification of meeting points for moving groups viaindependent safe regions

In applications like social networking services and online games, multiple moving users form a group and wish to be continuously notified with the best meeting point from their locations. To reduce the communication frequency of the application server, a promising technique is to apply safe regions, which capture the validity of query results with respect to the users’ locations. Unfortunately, the safe regions in our problem exhibit characteristics such as irregular shapes and dependency among multiple safe regions. These unique characteristics render existing safe region methods that focus on a single safe region inapplicable to our problem. To tackle these challenges, we first examine the shapes of safe regions in our problem context and propose feasible approximations for them. We design efficient algorithms for computing these safe regions, as well as develop compression techniques for representing safe regions in a compact manner. Experiments with both real and synthetic data demonstrate the efficiency of our proposal in terms of computation and communication costs.