Miracle-dz/UniFAR-FTUs huggingface dataset:
Macroscopic traffic flow models for Shanghai

Traffic flow models are essential to performance analysis/evaluation for applications/services provided by Intelligent Transportation Systems (ITS)/Vehicular Ad-hoc networks (VANET). They are also useful guidance for the deployment of ITS/VANET. Many macroscopic traffic flow models have been proposed in the past few decades on the basis of empirical data collected in the US, Canada, Turkey and etc. However these models may not be accurate for traffic flows in cities in China due to the differences in population, transportation infrastructure, and driving culture. In this paper, we collected a large amount of empirical traffic flow data in Shanghai overhead road during three different time periods. Statistical results showed that the lane-level traffic volumes in Shanghai followed Gaussian distribution rather than Poisson distribution which was normally assumed in literature. Regarding lane-level vehicles' velocities, they matched well with Gaussian distribution. The empirical probability mass functions (PMF) for both the traffic volumes and vehicles' velocities were presented. In addition, how these models would impact performance analysis in VANETs was discussed.
Transcriptional Factor ATF6 is Involved in Odontoblastic Differentiation

ATF6 is an endoplasmic reticulum (ER) membrane-bound transcription factor that regulates various cellular functions. The purpose of this study was to investigate the role of ATF6 in odontoblast differentiation. Rat tooth germs were isolated, changes in gene expression were evaluated over time, and localization of ATF6 was determined by immunohistochemistry. Human dental pulp cells (HDPCs) were cultured with 50 µg/mL ascorbic acid and 5 mmol/L β-glycerophosphate or 100 ng/mL bone morphogenetic protein 2 to induce differentiation. Translocation of ATF6 was observed by immunofluorescence and confocal microscopy. Overexpression of ATF6 was performed with an adenoviral vector. Matrix mineralization was evaluated by alizarin red staining. Immunoreactivity to anti-ATF6 was observed in the odontoblastic layer of the molar tooth germ, and expressions of ATF6, dentin sialophosphoprotein (DSPP) and dentin matrix protein 1 (DMP1) increased gradually during tooth germ development. When HDPCs were cultured in differentiation media, ATF6, DSPP, and DMP1 expression increased with the expression of unfolded protein response (UPR) markers, BiP and CHOP. Immunofluorescence results showed that ATF6 protein moved from cytoplasm to nucleus when cells were exposed to differentiation media. Notably, overexpression of ATF6 increased DSPP and DMP1 expression, alkaline phosphatase (ALP) activity, and matrix mineralization in HDPC cultures. Inhibition of ATF6 decreased ALP activity and mineralization. These results suggest that ER membrane-bound transcriptional factor ATF6 may be involved in odontoblastic differentiation.
The Dialectical Context of Boghossian's Memory Argument

Externalism is the thesis that some propositional attitudes depend for their individuation on features of the thinker's (social and/or physical) environment. The doctrine of self-knowledge of thoughts is the thesis that for all thinkers S and occurrent thoughts that p, S has authoritative and non-empirical knowledge of her thought that p. A much-discussed question in the literature is whether these two doctrines are compatible. In this paper I attempt to respond to one argument for an incompatibilist conclusion, Boghossian's 1989 ‘Memory Argument. ’
On some extremal problems in graph theory

In this paper we are concerned with various graph invariants (girth, diameter, expansion constants, eigenvalues of the Laplacian, tree number) and their analogs for weighted graphs -- weighing the graph changes a combinatorial problem to one in analysis. We study both weighted and unweighted graphs which are extremal for these invariants. In the unweighted case we concentrate on finding extrema among all (usually) regular graphs with the same number of vertices; we also study the relationships between such graphs.
Novel treatment of the experimental data in the application of the maximum-entropy method to the determination of the electron-density distribution from X-ray experiments

The maximum-entropy method (MEM) has been tested on a limited set of noisy Fourier data from a known electron-density distribution (EDD). It is shown that maximizing the entropy of the EDD under the usual condition of fitting the variance of the data set does not necessarily lead to a satisfactory error distribution of the calculated reflections. The MEM property of producing the flattest EDD consistent with the data causes the calculated values of strong reflections to deviate systematically as much as possible from their measured values. Calculated values of strong reflections are usually smaller than their measured values. The use of a novel constraint on the entropy maximization greatly improves the form of the error distribution and also the calculated EDD.
Toward physics-based virtual reality testbeds for intelligent robot manipulators - an eRobotics approach

The increasingly pervasive usage of robotic automation not only calls for a high performance of physical robot manipulators, but also implies challenging requirements on 3D robot simulators. A skillful reaction of simulated robots to unpredicted contact forces has become an especially stringent necessity to support the development of emerging applications for which a compliant robotic manipulation is indispensable. This paper focuses on the simulation of physics-based virtual testbeds in which simulated robots are made capable of accommodating external forces exerted by the environment on their manipulators. For this, we integrate methods from multi-body dynamics modeling, advanced robotics, and virtual reality to develop a robotics simulation basis that facilitates the employment of compliant robotic manipulations in simulated applications. The validation of this basis in joint space indicates that a physics-based simulation of robots endowed with active physical interaction control can capture and reflect significant effects which characterize the interactive behavior of physical compliant robots.We demonstrate the practical utility of our approach to unlock competitive advantages in fully simulated applications prone to position uncertainty. Furthermore, we show the potential of using compliant digital twins of physical robots to introduce compliant robotic manipulations into real applications.
A Neural Network that Generates Attractive Vector Fields for Robot Control

A method to teach a neural network the capability of creating attractive vector elds for robot path planning is presented and discussed. The property of attractive behaviour is embedded into the artiicially generated training data and subsequently transfered to a MLP by learning. In the vicinity of the attractor in state space to which the system converges, a local vector eld is unfolded, thus forcing the network to learn the major property of attractors. The neural network associates the vector of state-change S with the actual state S of a dynamic system to establish a representation of the governing system dynamics. Part of this work has been published (Goerke and Eckmiller, 1994). Learned attractive vector elds, show to be powerfull for tasks where global capabilities are needed, such as stable control or trajectory generation with on-line obstacle avoidance.
Asiaticoside Inhibits TNF‐α‐Induced Endothelial Hyperpermeability of Human Aortic Endothelial Cells

The increase in endothelial permeability often promotes edema formation in various pathological conditions. Tumor necrosis factor‐alpha (TNF‐α), a pro‐atherogenic cytokine, impairs endothelial barrier function and causes endothelial dysfunction in early stage of atherosclerosis. Asiaticoside, one of the triterpenoids derived from Centella asiatica, is known to possess antiinflammatory activity. In order to examine the role of asiaticoside in preserving the endothelial barrier, we assessed its effects on endothelial hyperpermeability and disruption of actin filaments evoked by TNF‐α in human aortic endothelial cells (HAEC). TNF‐α caused an increase in endothelial permeability to fluorescein isothiocyanate (FITC)‐dextran. Asiaticoside pretreatment significantly suppressed TNF‐α‐induced increased permeability. Asiaticoside also prevented TNF‐α‐induced actin redistribution by suppressing stress fiber formation. However, the increased F to G actin ratio stimulated by TNF‐α was not changed by asiaticoside. Cytochalasin D, an actin depolymerizing agent, was used to correlate the anti‐hyperpermeability effect of asiaticoside with actin cytoskeleton. Surprisingly, asiaticoside failed to prevent cytochalasin D‐induced increased permeability. These results suggest that asiaticoside protects against the disruption of endothelial barrier and actin rearrangement triggered by TNF‐α without a significant change in total actin pool. However, asiaticoside seems to work by other mechanisms to maintain the integrity of endothelial barrier rather than stabilizing the F‐actin organization. Copyright © 2015 John Wiley & Sons, Ltd.
Exponential separation of communication and external information

We show an exponential gap between communication complexity and external information complexity, by analyzing a communication task suggested as a candidate by Braverman. Previously, only a separation of communication complexity and internal information complexity was known. More precisely, we obtain an explicit example of a search problem with external information complexity ≤ O(k), with respect to any input distribution, and distributional communication complexity ≥ 2k, with respect to some input distribution. In particular, this shows that a communication protocol cannot always be compressed to its external information. By a result of Braverman, our gap is the largest possible. Moreover, since the upper bound of O(k) on the external information complexity of the problem is obtained with respect to any input distribution, our result implies an exponential gap between communication complexity and information complexity (both internal and external) in the non-distributional setting of Braverman. In this setting, no gap was previously known, even for internal information complexity.
Position-trajectory control system for robot on base of airship

This work is devoted to control system of unmanned robotized airship. Mathematical model is analyzed for controllability. Position-trajectory control system on the base of high-order nonlinear interrelated model of airship is suggested. System adaptation is implemented with robust estimation algorithms. Use of redundant control channels is solved on the base of minimum of applied control actions. Experimental results of system functioning are presented.
Optimizing relevance and revenue in ad search: a query substitution approach

The primary business model behind Web search is based on textual advertising, where contextually relevant ads are displayed alongside search results. We address the problem of selecting these ads so that they are both relevant to the queries and profitable to the search engine, showing that optimizing ad relevance and revenue is not equivalent. Selecting the best ads that satisfy these constraints also naturally incurs high computational costs, and time constraints can lead to reduced relevance and profitability. We propose a novel two-stage approach, which conducts most of the analysis ahead of time. An offine preprocessing phase leverages additional knowledge that is impractical to use in real time, and rewrites frequent queries in a way that subsequently facilitates fast and accurate online matching. Empirical evaluation shows that our method optimized for relevance matches a state-of-the-art method while improving expected revenue. When optimizing for revenue, we see even more substantial improvements in expected revenue.
Approximate autoregressive modeling for network attack detection

This paper presents a technique for creating an ARX model of network signals and using it for detecting network anomalies caused by intrusions. Network signals are non-stationary, highly volatile and hard to model using traditional methods. We present our own modeling technique using a combination of system identification theory and wavelet approximation. We also present the results of a prototype implementation applied to 1999 DARPA intrusion detection evaluation data set. We verify that the technique is viable for anomaly based intrusion detection and can contribute to defense in depth in a network. The technique proposed is online, generic and can be used with many other network signals like bandwidth consumption, rate of flow arrival or SNMP variables. Moreover, it requires minimal expertise for use on the part of the network administrator and automatically adapts to the underlying network behavior.
Efficacy, safety, and tolerability of quetiapine in patients with schizophrenia.

Schizophrenia is a serious and disabling psychiatric disorder affecting approximately 1% of the world's population, with its economic cost in the United States alone estimated to exceed that of all cancers combined. The new generation of atypical antipsychotics introduced over the past decade have comparable or greater efficacy than traditional antipsychotics in treating the psychotic symptoms of schizophrenia and a much improved neurologic side effect profile. Quetiapine, the fourth atypical antipsychotic marketed in the United States, was approved by the U.S. Food and Drug Administration in September 1997 and is also currently approved in over 70 countries worldwide for the treatment of psychosis associated with schizophrenia. This article will review the clinical trials examining the efficacy, safety, and tolerability of quetiapine in the treatment of patients with schizophrenia.
Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic

The aim of the present study was to demonstrate for the first time that brain waves can be used by a tetraplegic to control movements of his wheelchair in virtual reality (VR). In this case study, the spinal cord injured (SCI) subject was able to generate bursts of beta oscillations in the electroencephalogram (EEG) by imagination of movements of his paralyzed feet. These beta oscillations were used for a self-paced (asynchronous) brain-computer interface (BCI) control based on a single bipolar EEG recording. The subject was placed inside a virtual street populated with avatars. The task was to “go” from avatar to avatar towards the end of the street, but to stop at each avatar and talk to them. In average, the participant was able to successfully perform this asynchronous experiment with a performance of 90%, single runs up to 100%.
Sensor-embedded teeth for oral activity recognition

This paper presents the design and implementation of a wearable oral sensory system that recognizes human oral activities, such as chewing, drinking, speaking, and coughing. We conducted an evaluation of this oral sensory system in a laboratory experiment involving 8 participants. The results show 93.8% oral activity recognition accuracy when using a person-dependent classifier and 59.8% accuracy when using a person-independent classifier.
Isometric deformation modeling using singular value decomposition for 3D expression-invariant face recognition

Currently, the recognition of faces under varying expressions is one of the main challenges in the face recognition community. In this paper a method is presented dealing with those expression variations by using an isometric deformation model. The method is built upon the geodesic distance matrix as a representation of the 3D face. We will show that the set of largest singular values is an excellent expression-invariant shape descriptor. Face comparison is performed by comparison of their shape descriptors using the mean normalized Manhattan distance as dissimilarity measure. The presented method is validated on a subset of 900 faces of the BU-3DFE face database resulting in an equal error rate of 13.37% for the verification scenario. This result is comparable with the equal error rates of other 3D expression-invariant face recognition methods using an isometric deformation model on the same database.
The Impact of Psychological Contract Fulfillment on Employee Engagement in the Millennial Generation: The Moderating Effects of Generational Affiliation

In presenting this dissertation as a partial fulfillment of the requirements for an advanced degree from Georgia State University, I agree that the Library of the University shall make it available for inspection and circulation in accordance with its regulations governing materials of this type. I agree that permission to quote from, to copy from, or publish this dissertation may be granted by the author or, in his/her absence, the professor under whose direction it was written or, in his absence, by the Dean of the Robinson College of Business. Such quoting, copying, or publishing must be solely for the scholarly purposes and does not involve potential financial gain. It is understood that any copying from or publication of this dissertation which involves potential gain will not be allowed without written permission of the author. All dissertations deposited in the Georgia State University Library must be used only in accordance with the stipulations prescribed by the author in the preceding statement. ACCEPTANCE This dissertation was prepared under the direction of the TRARON NEAL MOORE's Dissertation Committee. It has been approved and accepted by all members of that committee, and it has been accepted in partial fulfillment of the requirements for the degree of Doctoral of Philosophy in Business Administration in the J.
Subdivision Surfaces with Creases and Truncated Multiple Knot Lines

We deal with subdivision schemes based on arbitrary degree B‐splines. We focus on extraordinary knots which exhibit various levels of complexity in terms of both valency and multiplicity of knot lines emanating from such knots. The purpose of truncated multiple knot lines is to model creases which fair out. Our construction supports any degree and any knot line multiplicity and provides a modelling framework familiar to users used to B‐splines and NURBS systems.
Biased Games

We present a novel extension of normal form games that we call biased games. In these games, a player's utility is influenced by the distance between his mixed strategy and a given base strategy. We argue that biased games capture important aspects of the interaction between software agents. Our main result is that biased games satisfying certain mild conditions always admit an equilibrium. We also tackle the computation of equilibria in biased games.
Generating true color paper textures of historical documents

This paper presents two methods for automatic generation of true color paper textures of historical documents. One uses a 256-gray level image of the texture, some features inherent to the original paper itself, and neural networks to colorize. The other generates a synthetic version of the texture based on the rebuilding of its histogram. Both methods produce images which are perceptually close to the originals by visual inspection and quantitatively by the use of variance analysis. With the colorizing process, it is possible to create a cluster of textures and use it to generate different textures from just one sample. The synthesis process allows the complete generation of the image of the document achieving high compression rates.
Bursty Traffic in Energy-Constrained Opportunistic Spectrum Access

We design opportunistic spectrum access strategies for improving spectrum efficiency. In each slot, a secondary user chooses a subset of channels to sense and decides whether to access based on the sensing outcomes. Incorporating the secondary user's residual energy and buffer state, we formulate this sequential decision-making problem as a partially observable Markov decision process (POMDP). Within the POMDP framework, we obtain stationary optimal sensing and access policies. By exploiting the rich structure of the underlying problem, we develop monotonicity results for the optimal policies, which accelerate the computations. Numerical results are provided to study the impact of the secondary user's packet arrival rate and residual energy on the optimal sensing and access decisions.
Memoplex Browser++

Document search techniques often list search hits as a flat list of results, with very little contextual indication of the relationship between document hits except for their absolute relevance to a search query. However, there may be auxiliary structural information to a database of documents that could be pertinent to information retrieval on the user's end, such as connections between documents as identified by a semantic network. Memoplex++ is a text document browser designed to address these issues of structure in information retrieval; it is designed for viewing articles stored in the Memoplex semantic network [8]. Memoplex++ visualizes semantically related documents as textbased previews connected in a radial graph view, exploiting the spatial locality of related articles to support document browsing. Search results are spatially clustered to provide users with general sense of direction and orientation in this abstract document space. An informal user evaluation revealed that the spatial positioning and general design tradeoffs of Memoplex++ provided no clear advantages over a traditional list-based view of documents. However, there were perceived benefits to the use of semantic links to indicate the relative pertinence of groups of semantically linked articles.
A novel planar polarity gene pepsinogen‐like regulates wingless expression in a posttranscriptional manner

Background: Planar cell polarity (PCP) originally referred to the coordination of global organ axes and individual cell polarity within the plane of the epithelium. More recently, it has been accepted that pertinent PCP regulators play essential roles not only in epithelial sheets, but also in various rearranging cells. Results: We identified pepsinogen‐like (pcl) as a new planar polarity gene, using Drosophila wing epidermis as a model. Pcl protein is predicted to belong to a family of aspartic proteases. When pcl mutant clones were observed in pupal wings, PCP was disturbed in both mutant and wild‐type cells that were juxtaposed to the clone border. We examined levels of known PCP proteins in wing imaginal discs. The amount of the seven‐pass transmembrane cadherin Flamingo (Fmi), one of the PCP “core group” members, was significantly decreased in mutant clones, whereas neither the amount of nor the polarized localization of Dachsous (Ds) at cell boundaries was affected. In addition to the PCP phenotype, the pcl mutation caused loss of wing margins. Intriguingly, this was most likely due to a dramatic decrease in the level of Wingless (Wg) protein, but not due to a decrease in the level of wg transcripts. Conclusions: Our results raise the possibility that Pcl regulates Wg expression post‐transcriptionally, and PCP, by proteolytic cleavages. Developmental Dynamics 243:791–799, 2014. © 2014 Wiley Periodicals, Inc.
Towards holistic security management through coherent measuring

Today's complex communication systems are vital for many businesses. The high skill needed to master those systems has created an economy of services where many specialised organisations participate in producing the end service. Managing that orchestra to produce the right functionality is a challenge in itself, but managing the security of the process can be difficult. In this paper, we discuss of the big picture of managing the security of such complex systems, of the gaps between some point solutions, and of the research needs we have identified, focusing on technical aspects of security. We think that coherently measuring various technical aspects of security and sharing the information wisely is the key to a satisfying solution.