Miracle-dz/UniFAR-FTUs huggingface dataset:
The Qualitative Investigation of Anthropomorphism in Autistic and Non-autistic Adults

Background: Anthropomorphism is the attribution of human characteristics to non-human agents. This common tendency is thought to be driven by a heightened motivation for social connection, and may therefore be expected to be reduced in autistic individuals given that this group has been claimed to demonstrate reduced social motivation in some settings. However, the subject of anthropomorphism in autism has not been studied extensively, and online forums, autobiographical accounts and recent research on the topic suggest that, contrary to this expectation, anthropomorphism is commonly experienced by autistic individuals. Methods: We conducted semi-structured interviews with eight autistic and eight non-autistic adults, all who reported a tendency to anthropomorphise. We recorded, transcribed and analysed the interviews according to the thematic analysis framework with the objective of identifying similarities and differences in the lived experiences of anthropomorphism in autistic and non-autistic individuals. Results: Individuals in both groups described anthropomorphism as comforting, promoting a sense of safety and friendship with, and feelings of empathy and sympathy toward, non-human agents. Autistic individuals stressed the important role anthropomorphised agents played in their life, particularly when growing up: easing loneliness and helping develop an understanding of emotions and relationships. Participants also expressed negative aspects of the phenomenon, with both autistic and non-autistic individuals worrying about anthropomorphised agents’ feelings and well-being. For some individuals, such thoughts and feelings caused distress, and were experienced as intrusive due to their involuntary nature. Conclusions : Autistic and non-autistic adults showed very similar anthropomorphic patterns. Although preliminary in nature, our findings highlight characteristics of anthropomorphic experiences for autistic and non-autistic individuals, furthering our understanding of individual differences in social cognition. By illustrating the important role non-human agents may play in the lives of autistic individuals, our findings may also guide future research and practice.
Prosodic Cues and Varying Dialogue Context Impact on Exhaustivity of Answers

The presented study investigates the contribution of dialogue context and prosody on pragmatic focus interpretation. More specifically, we test to what extent specific contextual variation combined with different pitch accent patterns (hat pattern versus dip pattern) biases the interpretation of answers towards exhaustivity or towards non-exhaustivity. For measuring focus interpretation we asked listeners to judge on scales, how well presented pictures match with the content of the dialogue. The results of our interpretation study suggest that contextual variation in combination with prosodic variation has a significant effect on pragmatic focus interpretation.
Role of the Endoplasmic Reticulum Chaperone BiP, SUN Domain Proteins, and Dynein in Altering Nuclear Morphology during Human Cytomegalovirus Infection (cid:1)

The process of assembly and egress of human cytomegalovirus (HCMV) virions requires signiﬁcant mor- phological alterations of the nuclear and cytoplasmic architecture. In the studies presented we show that the nuclear periphery is dramatically altered, especially near the cytoplasmic assembly compartment, where the nuclear lamina is speciﬁcally rearranged, the outer nuclear membrane is altered, and the nucleus becomes permeable to large molecules. In addition, the tethering of the inner and outer nuclear membranes is lost during infection due to a decrease in levels of the SUN domain proteins. We previously demonstrated that the endoplasmic reticulum protein BiP functions as a component of the assembly compartment and disruption of BiP causes the loss of assembly compartment integrity. In this study we show that the depletion of BiP, and the loss of assembly compartment integrity, results in the loss of virally induced lamina rearrangement and morphology of the nucleus that is characteristic of HCMV infection. BiP functions in lamina rearrangement through its ability to affect lamin phosphorylation. Depletion of BiP and disruption of the assembly compart- ment result in the loss of lamin phosphorylation. The dependency of lamin phosphorylation on BiP correlates with an interaction between BiP and UL50. Finally, we conﬁrm previous data (S. V. Indran, M. E. Ballestas, and W. J. Britt,
A Harnack inequality and H\"older continuity for weak solutions to parabolic operators involving H\"ormander vector fields

This paper deals with two separate but related results. First we consider weak solutions to a parabolic operator with H\"ormander vector fields. Adapting the iteration scheme of J\"urgen Moser for elliptic and parabolic equations in $\mathbb{R}^n$ we show a parabolic Harnack inequality. Then, after proving the Harnack inequality for weak solutions to equations of the form $u_t = \sum X_i (a_{ij} X_j u)$ we use this to show H\"older continuity. We assume the coefficients are bounded and elliptic. The iteration scheme is a tool that may be adapted to many settings and we extend this to nonlinear parabolic equations of the form $u_t = -X_i^* A_j(X_j u)$. With this we show both a Harnack inequality and H\"older continuity of weak solutions.
EFFECT ON DTMUV-INFECTED NEURONS

26 Duck Tembusu virus (DTMUV), a neurotropic flavivirus, is a causative agent of severe 27 neurological diseases in different birds. No approved vaccines or antiviral therapeutic treatments are 28 available to date. The poultry industry experiences significant economic losses due to DTMUV 29 infections. Minocycline is a second-generation semi-synthetic tetracycline analogue that is commonly 30 used as an antimicrobial treatment. Experimental studies have indicated the successful protective 31 effects of minocycline against neuronal cell death from neurodegenerative diseases and viral 32 encephalitis. The aim of this study was to investigate the effects of minocycline on DTMUV infection 33 in neurons. Primary duck neurons were treated with minocycline, which exhibited neuroprotective 34 effects via anti-apoptotic function rather than through viral replication inhibition. Minocycline might 35 serve as a potential effective drug in DTMUV infection.
A Low-RCS and High-Gain Planar Circularly Polarized Cassegrain Meta-Antenna

Achieving highly-directive radiation with broadband operation, low scattering and thin profile for a circularly polarized (CP) antenna is particularly challenging and yet rarely reported. Here, we propose a strategy of a CP Cassegrain meta-antenna by combining a planar helical antenna, a metasurface main reflector and a metamaterial sub-reflector. The main reflector is designed to achieve focusing for CP waves at 13 GHz. The sub-reflector is chessboard configured chiral metamaterial slab composed of two different types of chiral meta-atoms, aiming to achieve spin- and direction-selective CP transmissions and reflections. The distance between two reflectors is half of focal length, which enables our antenna to be dubbed as a folded reflectarray. The low radar cross section (RCS) is achieved based on scattering cancellation technique by realizing near 180° reflection phase difference between two neighboring chessboard sub-meta-atoms. Thanks to the architecture of the two reflectors, the proposed antenna exhibits high-gain and low-profile simultaneously according to image theory. For verification, a planar CP Cassegrain antenna, excited by a left-handed circularly polarized (LCP) planar helical antenna, is fabricated, numerically and experimentally studied. Numerical results are in good agreement with the experimental ones, showing a peak right-handed circularly polarized (RCP) gain of 26.6 dBi at 12.6 GHz. Furthermore, the backward monostatic RCS of the antenna is dramatically reduced over -10 dB in a broad bandwidth from 8.4 to 15.7 GHz when it is illuminated by an LCP planar wave. Our proposed Cassegrain antenna features simultaneously broadband, high gain, low profile and low RCS, providing a new avenue to low-profile CP reflectarrays with invisibility.
The robotic process automation in accounting: Impacts of relative advantage, trialability and user-friendly innovation adoption attributes

The adoption of the robotic process automation (RPA) is important to perform tasks efficiently and recently to keep social distancing as way to prevent spread of COVID-19. In addition, innovation plays a vital role to be competitive in today’s market. One of the innovations that is gaining popularity is the application of automation other than manufacturing. However, because of its early development, there are limited studies to predict and analyze RPA in accounting. The purpose of the study is to examine to the effects of innovation adoption attributes on the acceptance of users and adoption of robotic process automation in accounting. Using PLS-SEM method, our findings indicate that trialability has significant relationship with RPA adoption. Trialability was also noted as the highest predictor.
Large covariance/correlation matrix estimation for long memory temporal data

We consider the estimation of high-dimensional covariance and correlation matrices under slow-decaying temporal dependence. For generalized thresholding estimators, convergence rates are obtained and properties of sparsistency and sign-consistency are established. The impact of temporal dependence on convergence rates is also investigated. An intuitive cross-validation method is proposed for the thresholding parameter selection, which shows good performance in simulations. Convergence rates are also obtained for banding method if the covaraince or correlation matrix is bandable. The considered temporal dependence has longer memory than those in the current literature and has particular implications in analyzing resting-state fMRI data for brain connectivity studies.
THE CHARACTERIZATION OF VOLATILES ASSOCIATED WITH YOUNG STELLAR OBJECTS

In the first portion of this work, we searched for differences in volatiles within a single star forming region, Rho Ophiuchi. We determined the amount, temperature, and composition of two ice features, the bending modes of CO2 and H2O at 15 μm and 6 μm, respectively, toward 28 Young Stellar Objects (YSOs). We found that more than 50% of the YSOs studied contained a portion of crystalline CO2 ice. We also found that some sources with Flat or borderline Class II Spectral Energy Distributions (SEDs) have a larger abundance of CO2 ice with respect to H2O ice. In addition to intracloud differences, we compared our results with several other star forming regions, high mass YSOs, and background objects. The average abundance of CO2 with respect to H2O in Rho Oph is comparable to that in Taurus, Perseus, and the value reported by Oberg et al. (2011) toward high mass YSOs, however, it is less than the average abundance reported toward Corona Australis, Serpens, and the value cited by Oberg et al. (2011) toward low mass YSOs. The second half of this work involved a study of gaseous HCN, C2H2, and CO toward a low mass binary system, GV Tau. We report the second detection of these simple molecules toward a low mass YSO. The abundances of these molecules are consistent with that toward the first low mass YSO with a detection, IRS 46 (Lahuis et al., 2006), models from Willacy and Woods (2009), Walsh et al. (2010), and Markwick et al. (2002), and comets. We also found that these molecules have a rotational temperature of ∼100 K 200 K, indicating they may be located in the warm molecular layer of the disk. This work is part of a larger study to characterize volatiles (others include CH4, NH3, the 6.8 μm absorption feature, and CH3OH) in the gas and/or solid phase toward YSOs in different star forming regions. This characterization includes temperature, location, mass, evolutionary state, and abundance. These characteristics will be used as a diagnostic tool to determine the evolution of molecules during the star formation process.
Effect of Broling Temperatures on the Formation of N-Nitrosodimethy lamine from Dried Squid Products of

We have slredy reported that the carcinogenic N-nitrosodimethylamine (NDMA) conte ntapparently increased when some salted-dried fish were broiled on a city gas range. Especially, bath the NDMA and N-nitrosopyrrolidine (NPYR) contents increased markedly when simple dried squid was broiled.In the present study, we broiled dried squid in varios gaseous atmosphres and ex amined the effect of the broiling temperatures on the nitrosamine formation. It was found that the highest NDMA formation rate occurred in the gases produced by the combustion of kerosene, followed by those from city gas combustion. NDMA was also formed when dried squid samples were heated in the hot air from an electric range, which may contain a trace amount of nitrogen oxide (s) produced during heating. It is noteworthy that the NDMA content increased even when the sample was heated in air or argon atmospheres, although the rates were apparently low. In general, the higher the heating temperature, the larger the amount of NDMA formed upon broiling . It was found that the greater part of NDMA produced during heating escaped from the broiled squid, viz., the level of vaporized NDMA was 3 to 5 times as high as the level remaining in the squid.
SMOOTH VARIABLE STRUCTURE FILTERING: THEORY AND APPLICATIONS

Filtering strategies play an important role in estimation theory, and are used to extract knowledge of the true states typically from noisy measurements or observations made of the system. The name ‘filter’ is appropriate since it removes unwanted noise from the signal. In 2007, the smooth variable structure filter (SVSF) was introduced. This filter is based on the sliding mode control and estimation techniques, and is formulated in a predictor-corrector fashion. The SVSF makes use of an existence subspace and of a smoothing boundary layer to keep the estimates bounded within a region of the true state trajectory. This creates a robust and stable estimation strategy. The research presented in this thesis focuses on advancing the development and implementation of the SVSF. In its original form, the SVSF does not utilize a state error covariance matrix, which is a measure of the accuracy of the state estimates. Therefore, the first major contribution of this research is the formulation of an SVSF strategy with a covariance derivation. This creates a number of research opportunities that can only be pursued and rely on the availability of the error covariance matrix. In an effort to further improve the estimation accuracy, a time-varying smoothing boundary layer is created by minimizing the covariance. This contribution significantly improves the SVSF, and provides a mechanism for combining the SVSF with other popular estimation strategies. A linear system example with the presence of uncertainties is studied which demonstrates that the proposed SVSF improves the estimation accuracy by approximately 20%. Furthermore, a new model-based fault detection strategy is created based on the interacting multiple model (IMM) method. This new method (IMM-SVSF) is applied on an experimental apparatus for the purposes of fault detection. It is able to improve upon the fault detection probability by 10 − 30% (depending on the fault), when compared with the most commonly used strategy. The IMM-SVSF method is also found to work extremely well for target tracking problems, demonstrating an improvement of roughly 40%. This research results in a number of novel contributions, and significantly advances the development of the SVSF.
Improving the PBL method with Experiential Learning Theory in Software Engineering Teaching

Context: Problem-Based Learning (PBL) and Experiential Learning Theory (ELT) are convergent active learning approaches widely known for their competent integration between theory and practice. Problem/Objective: However, the usual implementation of PBL leaves out the final active experimentation stage of the experiential learning cycle. In this article, we intend to systematically investigate the impacts of this last stage on the learning outcomes of software engineering students. Methods: A quasi-experiment was designed and applied in three software engineering courses of an undergraduate course, in Rio Branco-Acre / Brazil. Results: students who participated in two of the three treatment groups scored significantly higher on measures of motivation, experience and learning, which means that the PBL method contains gaps that can be significantly improved with the help of ELT, benefiting the learning outcomes of software engineering students.
A Beginners Guide to the Metabolism, Functions and Pharmacological Potential of Sphingolipids HSOA Pharmacology, Pharmaceutics & Pharmacovigilance

This brief review is designed to acquaint the reader with a basic understanding of the functions of sphingolipids in the newly emerging field of lipidomics. This includes the derived so-called complex sphingolipids found in membranes. Sphingolipids have been implicated as important messenger molecules in many areas of cell function including cell growth, apoptosis, inflammation and migra tion. Complex sphingolipids have been shown to be involved in vital membrane functions such as receptor clustering and vesicle traffick ing. Obviously these functions are significant factors in the progres - sion of many disease states such as the development of cancerous cells and tumorigenesis. Accordingly these lipid messengers and membrane components have attracted much pharmaceutical interest and useful drugs are now starting to be approved and prescribed for patients in the U.S. This review introduces sphingolipid metabolism and function and briefly discusses their exploitation for drug development.
Mapping, navigation, and learning for off-road traversal

The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor. During this project, we demonstrated a complete autonomous system for off-road navigation in unstructured environments, using stereo vision as the main sensor. The system is very robust—we can typically give it a goal position several hundred meters away and expect it to get there. In this paper we describe the main components that comprise the system, including stereo processing, obstacle and free space interpretation, long-range perception, online terrain traversability learning, visual odometry, map registration, planning, and control. At the end of 3 years, the system we developed outperformed all nine other teams in final blind tests over previously unseen terrain. © 2008 Wiley Periodicals, Inc.
STOCHASTIC ORDERINGS IN RELIABILITY

1. Introduction. Examples of the use of stochastic orderings in reliability are numerous. Therefore, we do not attempt to give a survey of the field, but we only describe some main ideas on how to use stochastic orderings in reliability theory. It should not be unreasonable to expect that readers of this paper know the fundamentals of stochastic ordering as can be found e.g. in Mosler (1982) and Stoyan (1983), but perhaps they are not already familiar with the subject of reliability theory. Therefore we describe in Section 1.1 a well known system with maintenance through spares and repair in order to illustrate the typical topics and problems of reliability theory. After the discussion of some problems which show that stochastic ordering is a useful tool in reliability theory, we give in Section 1.2 a detailed description of the further contents of the paper; aging, comparison of processes, optimal maintenance through replacement. Section 1.3 gives the notation we will use for the different kinds of stochastic ordering in Section 2. After introducing the main concepts of aging, we give a summary of their generalization to the multicomponent case and to the use of more complicated information about the system. In Section 3 we give a detailed description of the performance process of our standard reliability system and state sufficient conditions that allow the stochastic comparison of standard reliability processes. We compare these conditions with the conditions given by Shaked and Shantikumar (1988) for the more special case of dependent coupled alternating renewal processes. In Section 4 we give an example to show how stochastic ordering is useful, if
Perceptual Grouping and Visual Enumeration article Please share how this access benefits you. Your story matters

We used lateralized Event-Related Potential (ERP) measures – the N2pc and CDA/SPCN components – to assess the role of grouping by target similarity during enumeration. Participants saw a variable number (0, 1, 2 or 3) of same- or differently-colored targets presented among homogeneous distracters, and performed an enumeration task. Results showed that the N2pc, but not the CDA, was larger for multiple targets of identical color relative to targets of different colors. The findings are interpreted in terms of the effects of grouping on early versus late stages of multiple object processing. Within this framework, they reveal that grouping has an effect on early individuation mechanisms, while later processing mechanisms are less prone to such an influence.
UNIVERSIDADE DE LISBOA FACULDADE DE MOTRICIDADE HUMANA TASK CONSTRAINTS OF LARGE-SIDED SOCCER GAMES: EFFECTS OF MANIPULATING REWARDING RULES Elaborada com vista à obtenção do Grau de Mestre em Treino de Alto Rendimento Orientador: Professor Doutor

The aim of the study was to examine how rewarding rules affects team tactical behaviour, players’ technical, physical and physiological performance in large-sided football games. An elite youth team (age: 14.0±0.2 years) performed 8 vs. 8 large-sided games under three experimental conditions: i) rewarding passing rule (PASS); ii) rewarding compact defending rule (COM); iii) control condition (CNT), using a Latin squared design. Positional data were used to compute effective play-space, team width, length, length-width ratio and approximate entropy, and capture distance covered and average speed displacement. Heart rate values were recorded using short-range radio telemetry. All bouts were filmed, and technical variables based on the TSAP were assessed. Magnitude-based inference and precision estimation was employed. Results showed mainly trivial and small differences between conditions for almost all variables. Received balls (RB) was the single variable that very likely increased with a moderate effect for COM compared to CNT. The small overall effects might indicate that rewarding rules effectiveness depends on i) creating affordances for the desired behaviour instead of trying to directly reward the behaviour; ii) its accordance with team identity; iii) its suitability to players’ skill level iv) combining rules with other coaching tools v) the timescale of exposure.