Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing personality using demographic information from social media data

Personality prediction has been widely studied in various fields including psychology and social media. The emergence of online social networks provides novel opportunities to obtain information about user behaviors, demographics and administer standardized surveys for studying such social and psychological phenomena in a data-driven manner. Using the data generated from a personality survey application on Facebook used by 228,343 users, this work undertakes a statistical validation of a frequently posited hypothesis: does a person's personality have any relation with their demographic information such as gender and date of birth (DOB)? Literature on astrology - though rarely scientifically tested - suggests that the one's personality is related to their sun sign which is derived from their DOB. Based on DOB we have categorized all users into 12 groups referred as 12 sun signs. We then examined the relationship between users' big five personality traits and their sun sign through Chi-square (χ2) test. Subsequently, the ordinal regression model is used to model this relationship. Our results suggest that there are certain personality traits which relate to DOB, making DOB a very quick indicator of one's personality where there exists a relationship. Interestingly, we also analyzed the impact of users' belief in sun signs and found that the degree of confidence increased for the users who believe in sun signs.
Making the Release of Confidential Data from Multi-Way Tables Count

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The status of functional explanation in psychology: Reduction and mechanistic explanation

The validity of functional explanations as they are commonly used in psychology has recently come under attack. Kim’s supervenience argument purports to prove that higher-level generalizations have no causal powers of their own, and hence are explanatorily irrelevant. In a nutshell, the supervenience argument forces us to either embrace epiphenomenalism of higher-level properties, or accept Kim’s specific brand of reductionism. However, with the current emphasis on mechanistic explanations, the literature on explanation in psychology has undergone some drastic changes. It could be argued, therefore, that Kim’s argument targets an outdated concept of functional explanations. In any case, these developments warrant a reassessment of the implications of his argument, which is the purpose of the present paper. First, we argue that the metaphysics behind the supervenience argument is incompatible with that of mechanisms. Second, we argue that Kim’s proposed brand of reductionism does not accurately describe the explanatory practices of cognitive science.
No Right to Speak? The Relationship between Object Naming and Semantic Impairment:Neuropsychological Evidence and a Computational Model

The processes required for object naming were addressed in a study of patients with semantic dementia (a selective decline of semantic memory resulting from progressive temporal lobe atrophy) and in a computational model of single-word production. Although all patients with semantic dementia are impaired in both single-word production and comprehension, previous reports had indicated two different patterns: (a) a parallel decline in accuracy of naming and comprehension, with frequent semantic naming errors, suggesting a purely semantic basis for the anomia and (b) a dramatic progressive anomia. Longitudinal data for 16 patients with semantic dementia reflected these two profiles, but with the following additional important specifications: (1)despite a few relatively extreme versions of one or other profile, the full set of cases formed a continuum in the extent of anomia for a given degree of degraded comprehension; (2) the degree of disparity between these two abilities was associated with relative asymmetry in laterality of atrophy: a parallel decline in the two measures characterized patients with greater right-than left-temporal atrophy, while disproportionate anomia occurred with a predominance of atrophy in the left-temporal lobe. In an implemented computational model of naming, semantic representations were distributed across simulated left-and right-temporal regions, but the semantic units on the left were more strongly connected to left-lateralized phonological representations. Asymmetric damage to semantic units reproduced the longitudinal patient profiles of naming relative to comprehension, plus additional characteristics of the patients' naming performance. On the basis of both the neuropsychological and computational evidence, we propose that semantic impairment alone can account for the full range of word production deficits described here.
A case study of workstation usage during the early phases of the software development life cycle

This paper presents initial results in an ongoing study of workstation usage in a real, commercial software development environment. The methodology being supported is explained and the background for the project is presented. Predictions of the resources and schedule required is calculated using the COnstructive COst MOdel (COCOMO). Actual resources and schedule used to date are presented and shown to be quite favorable with respect to the model predictions. Further discussion of workstation usage and the impact on project performance is presented. Conclusions indicate that workstation use can be quite favorable on software development projects, but the workstations are still only automating the more mundane aspects of the requirements analysis and design phases.
Addressing turning and direction changes when using the Bloomfield Movement Classification

The Bloomfield Movement Classification (BMC) allows speed agility quickness requirements as well as injury risk of activity in team games to be characterised. A limitation of previous applications of the BMC is that frequencies of movement types can be over-estimated while duration of movement instances can be under-estimated. This is because a movement instance composed of segments performed in different directions and / or turning activity will be presented as separate movement instances even if the same locomotive movement type is being performed. The current paper proposes a method of processing data captured using the BMC to address this. The method not only recognises movement instances composed of multiple segments but also allows movements to be characterised by the number of turns and direction changes performed within the movement instances. The netball movement data used in the current investigation has limited reliability and the results should only be considered in the knowledge that reliability is limited. However, the way in which the results are presented here are a good example of how the BMC can be used in future investigations of movement in different sports where a greater level of reliability is achieved.
Important Contemporary Development in Management Accounting: Balanced Scorecard

Because of globalization, the business environment has become increasingly competitive. Just following the traditionally management accounting systems will lead to low efficiency and loss of customer loyalty and satisfaction. So it is vital to develop some new management systems in order to solve this problem. The balanced scorecard is one of the new approaches in the contemporary development in management accounting. It provides a framework that translates the aims and objectives of the business into a series of key performance measures and targets. From using a balanced scorecard, each company can find out how its performance contributes to their goals.
Non-photorealistic rendering techniques for motion in computer games

Still images can portray motion by using a stylized technique. Most of these techniques are commonly used for dynamic images as well (e.g., for cartoons). Typically, an artist abstracts the motion of a specific scene or animation to illustrate movement. Depicting motion in real-time environments is no less essential, and therefore a similar approach is desirable. Our approach is focused on three methods to stylize motion: squash-and-stretch, multiple images, and motion lines. A discussion of these methods for depicting motion in dynamic images and an implementation are presented in this paper. Finally, we discuss the results and conclude with the outlook for further development.
Blocking Nogo Receptor 1 Promotes Functional Regeneration after Spinal Cord Injury

An insult to the mammalian spinal cord often results in persistent functional deficits. Proteins in CNS myelin are important determinants of this situation as they inhibit neurite growth. Among those proteins Nogo-A, oligodendrocyte myelin glycoprotein (OMgp), and myelin-associated glycoprotein (MAG) all bind to the neuronal Nogo-66 receptor (NgR1) and thereby block neuronal regeneration after injury. Neutralizing the interaction between the inhibitory ligands and NgR1 may alleviate the inhibition and therefore result in increased recovery after injury. Thus, antibodies neutralizing ligand/receptor interaction might have therapeutic value. From a set of 300 monoclonal anti-NgR1 antibodies one anti-NgR1 ligand blocking antibody (mAb50) was selected for in vivo studies. mAb50 binds with high affinity (below 100 pM) to human and rat NgR1, competes for binding of a ligand peptide (derived from Nogo-A: Nogo66) to the isolated NgR1 protein and cellular NgR1, and reduces the inhibitory effects of Nogo66 on neurite outgrowth in differentiated human NTera2 cells and rat dorsal root ganglion neurons. In a rat spinal cord hemisection model mAb50 enhanced functional locomotor recovery. These data suggest that neutralization of NgR1 activity with an antibody may be a valuable strategy to neutralize neurite outgrowth inhibition in the mammalian CNS. Thus anti-NgR1 antibodies are a potential approach for the treatment of spinal cord injury and even neurodegenerative diseases.
Endocardial Tip Cells in the Human Embryo – Facts and Hypotheses

Experimental studies regarding coronary embryogenesis suggest that the endocardium is a source of endothelial cells for the myocardial networks. As this was not previously documented in human embryos, we aimed to study whether or not endothelial tip cells could be correlated with endocardial-dependent mechanisms of sprouting angiogenesis. Six human embryos (43–56 days) were obtained and processed in accordance with ethical regulations; immunohistochemistry was performed for CD105 (endoglin), CD31, CD34, α-smooth muscle actin, desmin and vimentin antibodies. Primitive main vessels were found deriving from both the sinus venosus and aorta, and were sought to be the primordia of the venous and arterial ends of cardiac microcirculation. Subepicardial vessels were found branching into the outer ventricular myocardium, with a pattern of recruiting α-SMA+/desmin+ vascular smooth muscle cells and pericytes. Endothelial sprouts were guided by CD31+/CD34+/CD105+/vimentin+ endothelial tip cells. Within the inner myocardium, we found endothelial networks rooted from endocardium, guided by filopodia-projecting CD31+/CD34+/CD105+/ vimentin+ endocardial tip cells. The myocardial microcirculatory bed in the atria was mostly originated from endocardium, as well. Nevertheless, endocardial tip cells were also found in cardiac cushions, but they were not related to cushion endothelial networks. A general anatomical pattern of cardiac microvascular embryogenesis was thus hypothesized; the arterial and venous ends being linked, respectively, to the aorta and sinus venosus. Further elongation of the vessels may be related to the epicardium and subepicardial stroma and the intramyocardial network, depending on either endothelial and endocardial filopodia-guided tip cells in ventricles, or mostly on endocardium, in atria.
Improved DNN-based segmentation for multi-genre broadcast audio

Automatic segmentation is a crucial initial processing step for processing multi-genre broadcast (MGB) audio. It is very challenging since the data exhibits a wide range of both speech types and background conditions with many types of non-speech audio. This paper describes a segmentation system for multi-genre broadcast audio with deep neural network (DNN) based speech/non-speech detection. A further stage of change-point detection and clustering is used to obtain homogeneous segments. Suitable DNN inputs, context window sizes and architectures are studied with a series of experiments using a large corpus of MGB television audio. For MGB transcription, the improved segmenter yields roughly half the increase in word error rate, over manual segmentation, compared to the baseline DNN segmenter supplied for the 2015 ASRU MGB challenge.
Information flow based routing algorithms for wireless sensor networks

This paper introduces the measure of information as a new criterion for the performance analysis of routing algorithms in wireless sensor networks. We argue that since the objective of a sensor network is to estimate a two dimensional random field, a routing algorithm must maximize information flow about the underlying field over the lifetime of the sensor network. We develop two novel algorithms, MIR (maximum information routing) and CMIR (conditional maximum information routing) designed to maximize information flow, and present a comparison of the algorithms to a previously proposed algorithm-MREP (maximum residual energy path) through simulations. We show that the proposed algorithms give significant improvement in terms of information flow, when compared to MREP.
Taking a Look at the Player's Gaze: The Effects of Gaze Visualizations on the Perceived Presence in Games

Gaze input in the context of games proves to be an interesting and challenging field. One research area is the integration of gaze interaction into the game interface (diegetic/virtual approach) and its effects on players. In order to address this issue we conducted an experimental study consisting of two game prototypes with two variants (2D platformer/3D exploration game) focusing on presence. Results show that the game genre has a strong influence on the perceived spatial presence. The type of interface (diegetic/virtual the players’ current gaze position) plays only a minor role. However, some effects can be identified: although an explicit gaze visualization may have a negative impact, the visualization is ignored by the subjects after some playtime. Furthermore, players interpret the interface sot that it matches their perceiption of the game world.
Voice over intranet based private branch exchange system design

The major drawback of the Electronics Private Branch Exchange System is that it required extra wiring for the installation. This system is not flexible in the manner of moving the extension of a particular user to different location. It neither has the caller ID facility nor the "voicemail" facility when user is offline. To find the solution to overcome the problem the Voice over Internet Protocol (VoIP) technology is used. This research includes an architectural solution to integrate the voice over IP (VoIP) services in Infrastructure management network of an organization as a Private Branch Exchange (PBX) instead of EAPBX system. Voice over Internet Protocol (VoIP) is a technology for voice communication that uses the ubiquity of IP-based networks to deploy VoIP client devices such as desktop IP phones called Session Initiation Protocol (SIP) phone or soft phone, in an increasing number of businesses and homes around the world because IP is the protocol connecting almost all devices. Voice over IP (VoIP) uses the Internet Protocol (IP) to transmit voice as packets over an IP based network.
Visual Knowledge Discovery on Semantic Wikis

A di erent approach to visualizing formalized knowledge on social semantic web applications is proposed and implemented in to the TaOPis system. A knowledge visualizer is build on top of the semantic wiki subsystem, using OWL based ontologies which are generated from user supplied meta-data. The application displays visual connections between classes and instances, as well as provides access to object properties and allows for visual search of related tags. Various use-cases are presented and analyzed which show that visual search has major advantages to formal niKlas-based querying.
Comparison of 30KW DC/DC converter topologies interfaces for fuel cell in hybrid electric vehicle

This paper deals with a hybrid electric vehicle power supply system composed of a fuel cell as primary source and a supercapacitors module as an intermediate energy storage system. Due to low supercapacitors and Fuel Cell voltages and due to voltage level regulation, converters are necessary to interface the fuel cell and the supercapacitors module to the power-train of the electric vehicle. Three DC/DC converter topologies are considered in this paper: Conventional step-up DC/DC converter, Interleaved multi-channel step-up DC/DC converter and Full-Bridge step-up DC/DC converter. Simulations of three converters based on each topology are carried-out with 30 KW as maximum power. The aim of this work is to have a comparative study which takes into account the weight, volume, current and voltage ripples, electromagnetic interference (EMI) and the efficiency of each converter in order to select the most suitable topology for fuel cell electric vehicle application. It is shown that the interleaving technique has the advantage of lightweight and compact size, high efficiency, small voltage and current ripples which is very beneficial for fuel cells lifetime.
Cognitive Rhythm Generators for Modelling and Modulation of Neuronal Electrical Activity

An innovative mathematical architecture for modelling neuronal electrical activity is presented, called the cognitive rhythm generator (CRG), wherein the proposed architecture is a hybrid model comprised of three interconnected stages, namely: (1) a bank of neuronal modes; (2) a ring device (limit-cycle oscillator); and (3) a static output nonlinearity (mapper). Coupled CRG networks are employed to emulate and elucidate the dynamics of biological neural networks, including the recurrent networks in the hippocampus. Several species of ring devices are described and investigated, including the clock, labile clock, hourglass and multistable ring systems, and their applications to neuronal modelling explored. Complexity measures such as the maximum Lyapunov exponent, correlation dimension and detrended fluctuation analysis are applied to compare model and biological records and validate the CRG methodology. The basis of neural coding is also examined in mathematical detail, with particular regard to its description by Volterra-Wiener kernel formalism, from
Involvement of Potassium Channels in Vasorelaxant Effect Induced by Valeriana prionophylla Standl. in Rat Mesenteric Artery

Assays in vitro and in vivo were performed on extract from roots and leaves from the Valeriana prionophylla Standl. (VPR and VPF, resp.). In phenylephrine (1 μM) precontracted rings, VPR (0.01–300 μg/mL) induced a concentration-dependent relaxation (maximum response (MR) = 75.4 ± 4.0%, EC50 = 5.97 (3.8–9.3) μg/mL, n = 6]); this effect was significantly modified after removal of the endothelium (EC50 = 39.6 (27.2–57.6) μg/mL, P < 0.05). However, VPF-induced vasorelaxation was less effective compared to VPR. When rings were preincubated with L-NAME (100 μM) or indomethacin (10 μM), the endothelium-dependent relaxation induced by VPR was significantly attenuated (MR = 20.9 ± 2.3%, 34.2 ± 2.9%, resp., P < 0.001). In rings denuded endothelium, precontracted with KCl (80 mM), or in preparations pretreated with KCl (20 mM) or tetraethylammonium (1 or 3 mM), the vasorelaxant activity of VPR was significantly attenuated (MR = 40.0 ± 8.2, n = 5; 50.5 ± 6.0%; 49.3 ± 6.4%; 46.8 ± 6.2%; resp., P < 0.01). In contrast, neither glibenclamide (10 μM), barium chloride (30 μM), nor 4-aminopyridine (1 mM) affected VPR-induced relaxation. Taken together, these results demonstrate that hypotension induced by VPR seems to involve, at least in part, a vascular component. Furthermore, endothelium-independent relaxation induced by VPR involves K+ channels activation, most likely due to BKCa channels, in the rat superior mesenteric artery.
An Efficient Network Log Anomaly Detection System Using Random Projection Dimensionality Reduction

Network traffic is increasing all the time and network services are becoming more complex and vulnerable. To protect these networks, intrusion detection systems are used. Signature-based intrusion detection cannot find previously unknown attacks, which is why anomaly detection is needed. However, many new systems are slow and complicated. We propose a log anomaly detection framework which aims to facilitate quick anomaly detection and also provide visualizations of the network traffic structure. The system preprocesses network logs into a numerical data matrix, reduces the dimensionality of this matrix using random projection and uses Mahalanobis distance to find outliers and calculate an anomaly score for each data point. Log lines that are too different are flagged as anomalies. The system is tested with real-world network data, and actual intrusion attempts are found. In addition, visualizations are created to represent the structure of the network data. We also perform computational time evaluation to ensure the performance is feasible. The system is fast, finds intrusion attempts and does not need clean training data.
Bimodal anti‐glioma mechanisms of cilengitide demonstrated by novel invasive glioma models

Integrins are expressed in tumor cells and tumor endothelial cells, and likely play important roles in glioma angiogenesis and invasion. We investigated the anti‐glioma mechanisms of cilengitide (EMD121974), an αvβ3 integrin inhibitor, utilizing the novel invasive glioma models, J3T‐1 and J3T‐2. Immunohistochemical staining of cells in culture and brain tumors in rats revealed positive αvβ3 integrin expression in J3T‐2 cells and tumor endothelial cells, but not in J3T‐1 cells. Established J3T‐1 and J3T‐2 orthotopic gliomas in athymic rats were treated with cilengitide or solvent. J3T‐1 gliomas showed perivascular tumor cluster formation and angiogenesis, while J3T‐2 gliomas showed diffuse single‐cell infiltration without obvious angiogenesis. Cilengitide treatment resulted in a significantly decreased diameter of the J3T‐1 tumor vessel clusters and its core vessels when compared with controls, while an anti‐invasive effect was shown in the J3T‐2 glioma with a significant reduction of diffuse cell infiltration around the tumor center. The survival of cilengitide‐treated mice harboring J3T‐1 tumors was significantly longer than that of control animals (median survival: 57.5 days and 31.8 days, respectively, P < 0.005), while cilengitide had no effect on the survival of mice with J3T‐2 tumors (median survival: 48.9 days and 48.5, P = 0.69). Our results indicate that cilengitide exerts a phenotypic anti‐tumor effect by inhibiting angiogenesis and glioma cell invasion. These two mechanisms are clearly shown by the experimental treatment of two different animal invasive glioma models.