Miracle-dz/UniFAR-FTUs huggingface dataset:
The Drunken World of Dionysos

Abstract: The Greek god Dionysos is often characterized by modern scholarship in a highly conceptualized way. From the perspective of such studies, Dionysos has become a metaphysical concept, a symbol of the primeval human impulses. For such hermeneutics, Dionysos’ relation to wine has been considered to be secondary and unessential. The present study is a reassessment of the role of wine in some of the main themes of Dionysiac mythology and cult. These include the ivy, the Theban myth of Dionysos’ birth, the Orphic myth of Dionysos, the main festivals dedicated to the god, the Dionysiac madness, the satyrs and the maenads as the main followers of Dionysos, the identification of Bakchos with the Eleusinian Iakchos, rituals such as those of Dionysos liknitēs, the aiōra (swinging), and the flood, the relation of the god to the sea, and the sacred wedding between the Athenian basilinna and Dionysos. I show that not only does wine not represent a secondary or derived aspect of Dionysos, but it can be found at the foundation of all these well-known aspects of Dionysiac cult and myth. Dionysos is essentially what the whole of antiquity recognized and celebrated in him, namely the god of wine. The mythology of Dionysos is the mythology of wine.
Generalized convex network optimization via distributed multi-agent dynamics

In this paper, a generalized convex network optimization problem with local domains and constraints is formulated and solved by using distributed multi-agent dynamics. Within the framework of the present network optimization, it is assumed that the local system states and constraints are available to an individual agent and each agent may only share information with its neighbors. A distributed PI-based protocol with high communication efficiency and privacy preserving is proposed for each agent to achieve the optimal consensus on the local states for the corresponding optimization problem. Furthermore, he optimality and convergence analysis of the proposed algorithm is provided. Finally, a numerical example is performed to verify the efficiency of the proposed method.
A connecting hinge represses the activity of endothelial nitric oxide synthase

In mammals, endothelial nitric oxide synthase (eNOS) has the weakest activity, being one-tenth and one-sixth as active as the inducible NOS (iNOS) and the neuronal NOS (nNOS), respectively. The basis for this weak activity is unclear. We hypothesized that a hinge element that connects the FMN module in the reductase domain but is shorter and of unique composition in eNOS may be involved. To test this hypothesis, we generated an eNOS chimera that contained the nNOS hinge and two mutants that either eliminated (P728IeNOS) or incorporated (I958PnNOS) a proline residue unique to the eNOS hinge. Incorporating the nNOS hinge into eNOS increased NO synthesis activity 4-fold, to an activity two-thirds that of nNOS. It also decreased uncoupled NADPH oxidation, increased the apparent KmO2 for NO synthesis, and caused a faster heme reduction. Eliminating the hinge proline had similar, but lesser, effects. Our findings reveal that the hinge is an important regulator and show that differences in its composition restrict the activity of eNOS relative to other NOS enzymes.
Circuit-Specific Coinfection of Neurons in the Rat Central Nervous System with Two Pseudorabies Virus Recombinants

ABSTRACT Neurotropic alphaherpesviruses have become popular tools for transynaptic analysis of neural circuitry. It has also been demonstrated that coinfection with two viruses expressing unique reporters can be used to define more complicated circuitry. However, the coinfection studies reported to date have employed nonisogenic strains that differ in their invasive properties. In the present investigation we used two antigenically distinct recombinants of the swine pathogen pseudorabies virus (PRV) in single and double infections of the rat central nervous system. Both viruses are derivatives of PRV-Bartha, a strain with reduced virulence that is widely used for circuit analysis. PRV-BaBlu expresses β-galactosidase, and PRV-D expresses the PRV membrane protein gI, the gene for which is deleted in PRV-BaBlu. Antibodies to β-galactosidase identify neurons infected with PRV-BaBlu, and antibodies monospecific for PRV gI identify neurons infected with PRV-D. The ability of these strains to establish coinfections in neurons was evaluated in visual and autonomic circuitry in which the parental virus has previously been characterized. The following conclusions can be drawn from these experiments. First, PRV-D is significantly more neuroinvasive than PRV-Bartha or PRV-BaBlu in the same circuitry. Second, PRV-D is more virulent than either PRV-Bartha or PRV-BaBlu, and PRV-BaBlu is less virulent than PRV-Bartha. Third, in every model examined, PRV-D and PRV-BaBlu coinfect some neurons, but single infections predominate. Fourth, prior infection with one virus renders neurons less permissive to infection by another virus. Fifth, prior infection by PRV-D is more effective than PRV-BaBlu in reducing invasion and spread of the second virus. Collectively, the data define important variables that must be considered in coinfection experiments and suggest that the most successful application of this approach would be accomplished by using isogenic strains of virus with equivalent virulence.
Towards pattern‐based architectures for event processing systems

Recently, event processing (EP) has gained considerable attention as an individual discipline in computer science. From a software engineering perspective, EP systems still lack the maturity of well‐established software architectures. For the development of industrial EP systems, generally accepted software architectures based on proven design patterns and principles are still missing. In this article, we introduce a catalog of design patterns that supports the development of event‐driven architectures (EDAs) and complex EP systems. The design principles originate from experiences reported in publications as well as from our own experiences in building EP systems with industrial and academic partners. We present several patterns on different layers of abstractions that define the overall structure as well as the building blocks for EP systems. Architectural patterns that determine the top‐level structure of an EDA can be distinguished from design patterns that specify the basic mechanisms of EP. The practical application of the catalog of patterns is described by the pattern‐based design of a sample EDA for a sensor‐based energy control system. Finally, we propose a coherent and general reference architecture for EP derived from the proposed patterns.Copyright © 2013 John Wiley & Sons, Ltd.
Demand modelling in electricity market with day-ahead dynamic pricing

In this paper, we consider a retail electricity market, where the day-ahead dynamic pricing is used and two-way communication is applied. Our objective is to build a demand model that is able to help an electricity retailer understand the customers' behaviour of using electricity with imperfect information and predict the demand of electricity in the future as accurately as possible. To achieve this objective, we establish the consistent conditions that the demand models must be satisfied and then learn the demand models to estimate the customers' consumption reaction functions to the retailer's prices from the available historical data. Simulation results confirm that the proposed demand models can generate a highly accurate prediction of electricity demand.
Ultrasonic Sensitivity-Improved Fabry–Perot Interferometer Using Acoustic Focusing and Its Application for Noncontact Imaging

An easily multiplexed fiber-optic Fabry–Perot interferometer (FPI)-based ultrasonic wave (UW) sensor has been proposed and used to experimentally demonstrate ultrasound wave imaging of seismic-physical models. The sensor probe comprises an interferometer formed by a free-standing gold foil and a cleaved optic-fiber tip. An acoustic focusing lens enhances the sensor's ultrasound sensitivity and assists with capability to multiplex multiple probes. Theoretical modeling of the focusing effect of the acoustic lenses and the ultrasonic responses of the probes are presented and analyzed. We present an experimental demonstration of time-division multiplexing of three fiber-optic Fabry–Perot sensors operating in air to reconstruct the shapes of physical models. The compact sensor has a symmetrical structure so that it presents a good directionality of ultrasound detection, making it valuable as an effective sensor for ultrasound scanning of physical models in air.
Finding Most Frequent Path based on Stratified Urban Roads

The path query based on big trajectory data has become a promising research direction due to the rapid development of the Internet. Previous studies mainly focus on searching paths in full road network and ignore the importance of stratified urban roads. It is observed that higher-level roads gather more trajectory points which means most drivers prefer the high-level road. In this paper, we study a new path query to find the most frequent path (MFP) based on road levels in large-scale historical trajectory data. We refer to this query as most frequent path based on road levels (RLMFP). Intuitively, selecting roads which are in line with local custom and choosing high-level roads such as high-way are people’s two common sense notions. Our query not only satisfies aforementioned sense, but also has two advantages in algorithm implementation. First, the road hierarchy can speed up the path query. Next, the trajectory data can find more reasonable upgrade points (e.g., path query based on road levels need to find the intersection between low-level roads and high-level roads). Experiments show the effectiveness and the efficiency of our method.
Affective and attentive interaction with virtual humans in gaze-based settings

This thesis investigates the affective and attentive gaze-based interaction with virtual humans andwill answer related questions to affect and attention and the challenges facing the generation of an anthropomorphic interface for human-machine interaction. One focus is on recommendations for the generation of gaze aware interfaces, the control and perception of virtual agent’s facial expressions and an interactive gaze model for the face-to-face interaction with a virtual agent. Our focus is not on the analysis of the semantics, but on the socio-emotional aspects of such a conversation. This thesis gives a general view on the different functions of gaze and eye contact in human-human interaction and related work of human-agent interaction and how interfaces with explicit and implicit gaze interaction could look like and reveal the challenges of such interfaces. While facial expression control can be quite complicated, this thesis demonstrates how facial expression control can be simplified. The investigation of the perception of facial displays inbetween humans and virtual humans is part of this thesis. It investigates how humans perceive variations of the facial display of a virtual human. One part dealswith howhumans perceive the emotional component of the combination of affective facial expressions, head direction and eye orientation. Another part investigates whether the head direction and eye orientation influence the perception of the personality of the virtual human. Finally, mutual gaze plays an important role to establish attention with an interlocutor. This thesis deals with a gaze model that is aware of a user’s current gaze with the help of an eye tracker. It analyzes where a user is looking and if the user is looking into the eyes of a virtual human to establish mutual gaze. It investigates if a human recognizes the interactive gaze model in a non-verbal setting and whether a human recognizes it in a verbal setting.
Phenomenology of the normal state of Cu-O high-temperature superconductors.

The universal anomalies in the normal state of Cu-O high-temperature superconductors follow from a single hypothesis: There exist charge- and spin-density excitations with the absorptive part of the polarizability at low frequencies \ensuremath{\omega} proportional to \ensuremath{\omega}/T, where T is the temperature, and constant otherwise. The behavior in such a situation may be characterized as that of a marginal Fermi liquid. The consequences of this hypothesis are worked out for a variety of physical properties including superconductivity.
Some neural net realizations of fuzzy reasoning

In this paper we analyze the neural network implementation of fuzzy logic proposed by Keller et al. [Fuzzy Sets Syst. , 45, 1–12 (1992)], derive a learning algorithm for obtaining an optimal α for the net, and, for a special case, we show how one can directly (avoiding training) compute the optimal α. We address how training data can be generated for such a system. Effectiveness of the optimal α is then established through numerical examples. In this regard, several indices for performance evaluation are discussed. Finally, we propose a new architecture and demonstrate its effectiveness with numerical examples. © 1998 John Wiley & Sons, Inc.
Chapter 10 On Multi-Objective Evolutionary Algorithms

In this chapter Multi-Objective Evolutionary Algorithms (MOEAs) are introduced and some details discussed. A presentation of some of the concepts in which this type of algorithms are based on is given. Then, a summary of the main algorithms behind these approaches and their applications is provided, together with a brief discussion including their advantages and disadvantages, degree of applicability, and some known applications. Finally, future trends in this area and some possible paths for future research are pointed out.
The AES-CMAC Algorithm

The National Institute of Standards and Technology (NIST) has recently specified the Cipher-based Message Authentication Code (CMAC), which is equivalent to the One-Key CBC MAC1 (OMAC1) submitted by Iwata and Kurosawa. This memo specifies an authentication algorithm based on CMAC with the 128-bit Advanced Encryption Standard (AES). This new authentication algorithm is named AES-CMAC. The purpose of this document is to make the AES-CMAC algorithm conveniently available to the Internet Community. This memo provides information for the Internet community.
Immunolocalization of metabotropic glutamate receptors 1 and 5 in the synaptic layers of the chicken retina

We have examined the distribution of metabotropic glutamate receptors (mGluRs) 1 and 5 in the adult chicken retina using preembedding immuno-electronmicroscopy. Immunoreactivity for mGluRs 1 and 5 was found in both the outer plexiform layer (OPL) and the inner plexiform layer (IPL). For mGluR1, OPL labeling was observed at cone pedicles and horizontal and bipolar cell processes. In the IPL, mGluR1 labeling could be found on bipolar cell terminals, as well as postsynaptic processes, including amacrine cell processes. Neither presynaptic nor postsynaptic elements were labeled at rod synapses. For mGluR5, OPL labeling was associated with cone pedicles as well as bipolar and horizontal cell processes. As for mGluR1, rod synapses were unlabeled. In the IPL, labeling for mGluR5 was found on bipolar cell terminals and amacrine cell processes. The presynaptic expression of these receptors in the OPL was confirmed at the light level by double-labeling experiments with SV2. The distributions of mGluRs 1 and 5 indicate that they have the potential to regulate function in both synaptic layers. Furthermore, the similar expression patterns for these two receptors indicate that they might be co-expressed and thus have the potential to interact functionally.
The role of technology readiness in consumers' adoption of mobile internet services between South Korea and China

This study built a causal model using the technology readiness and acceptance model TRAM to identify the factors influencing the adoption of mobile internet services in South Korea and China. In order to compare South Korea and China, a survey was conducted of 348 people who had experience with using mobile internet services. This study identified the factors influencing the motivation of mobile internet service consumers to use the services. According to the structural equation model analysis, South Koreans turned out to be more highly influenced by the drivers of positive technology readiness such as innovativeness and optimism when compared with Chinese users. Chinese were less influenced by positive technology readiness factors such as innovativeness and optimism than were South Koreans. Chinese were influenced more by negative technology readiness factors such as discomfort and insecurity.
Towards closure of regional heat budgets in the North Atlantic using Argo floats and surface flux datasets

Abstract. The upper ocean heat budget (0–300 m) of the North Atlantic from 20°–60° N is investigated using data from Argo profiling floats for 1999–2005 and the NCEP/NCAR and NOC surface flux datasets. Estimates of the different terms in the budget (heat storage, advection, diffusion and surface exchange) are obtained using the methodology developed by Hadfield et al. (2007a, b). The method includes optimal interpolation of the individual profiles to produce gridded fields with error estimates at a 10°×10° grid box resolution. Closure of the heat budget is obtained within the error estimates for some regions – particularly the eastern subtropical Atlantic – but not for those boxes that include the Gulf Stream. Over the whole range considered, closure is obtained for 13 (9) out of 20 boxes with the NOC (NCEP/NCAR) surface fluxes. The seasonal heat budget at 20–30° N, 35–25° W is considered in detail. Here, the NCEP based budget has an annual mean residual of −55±35 Wm−2 compared with a NOC based value of −4±35 Wm−2. For this box, the net heat divergence of 36 Wm−2 (Ekman=−4 Wm−2, geostrophic=11 Wm−2, diffusion=29 Wm−2) offsets the net heating of 32 Wm−2 from the NOC surface heat fluxes. The results in this box are consistent with an earlier evaluation of the fluxes using measurements from research buoys in the subduction array which revealed biases in NCEP but good agreement of the buoy values with the NOC fields.
Diachronous post‐orogenic magmatism within a developing orocline in Iberia, European Variscides

U‐Pb (zircon) crystallization ages of 52 late‐Variscan granitoid intrusions from NW Iberia (19 from new data, 33 from previous studies) constrain the lithospheric evolution of this realm of the Variscan belt of Western Europe and allow assessment of the relationship between oroclinal development and magmatism in late‐Carboniferous‐early Permian times. The U‐Pb ages, in conjunction with a range of geological observations, are consistent with the following sequence of events: (i) oroclinal bending starts at 310–305 Ma producing lithospheric thinning and asthenospheric upwelling in the outer arc of the orocline accompanied by production of mantle and lower crustal melts; (ii) between 305 and 300 Ma, melting continues under the outer arc of the orocline (Central Iberian Zone of the Iberian Variscan belt) and mid‐crustal melting is initiated. Coevally, the lithospheric root beneath the inner arc of the orocline thickened due to progressive arc closure; (iii) between 300 and 292 Ma, foundering of the lithospheric root followed by melting in the lithospheric mantle and the lower crust beneath the inner arc due to upwelling of asthenospheric mantle; (iv) cooling of the lithosphere between 292 and 286 Ma resulting in a drastic attenuation of lower crustal high‐temperature melting. By 285 Ma, the thermal engine generated by orocline‐driven lithospheric thinning/delamination had cooled down beyond its capability to produce significant amounts of mantle or crustal melts. The model proposed explains the genesis of voluminous amounts of granitoid magmas in post‐orogenic conditions and suggests that oroclines and similar post‐orogenic granitoids, common constituents of numerous orogenic belts, may be similarly related elsewhere.
Value Sets of Some Polynomials Over Finite Fields GF(22m)

This paper shows that there is a connection between the crosscorrelation functions of certain binary m-sequences and the value sets of the polynomials xk(1 + x)2m - 1 for k in pm 1, pm 2, 4, where x is in the finite field GF(22m). In particular, the size of such value sets is determined by using finite field theory and known results about crosscorrelation functions.
Radon transformation of time-frequency distributions for analysis of multicomponent signals

The Radon transform of a time-frequency distribution produces local areas of signal concentration that facilitate interpretation of multicomponent signals. The Radon transform can be efficiently implemented with dechirping in the time domains; however, only half of the possible projections through the time-frequency plane can be realized because of aliasing. It is shown that the frequency dual to dechirping exists, so that all of the time-frequency plane projections can be calculated efficiently. Some Radon transforms of Wigner distributions are demonstrated. <<ETX>>
Learning Relational User Profiles and Recommending Items as Their Preferences Change

Over the last decade a vast number of businesses have developed online e-shops in the web. These online stores are supported by sophisticated systems that manage the products and record the activity of customers. There exist many research works that strive to answer the question “what items are the customers going to like” given their historical profiles. However, most of these works do not take into account the time dimension and cannot respond efficiently when data are huge. In this paper, we study the problem of recommendations in the context of multi-relational stream mining. Our algorithm “xStreams” first separates customers based on their historical data into clusters. It then employs collaborative filtering (CF) to recommend new items to the customers based on their group similarity. To evaluate the working of xStreams, we use a multi-relational data generator for streams. We evaluate xStreams on real and synthetic datasets.
Méthodes et outils pour l'évaluation des performances des réseaux informatiques. (Methods and tools for performance evaluation of computer networks)

Cette these est consacree a l'etude de nouvelles methodes d'evaluation de performances pour les systemes informatiques. Elle vise a mener l'analyse de problemes difficiles d'evaluation de mecanismes de reseaux hauts debits jusqu'a son terme, c'est a dire l'obtention de taux de perte ou de delais. Ceci suppose donc une etape de modelisation et une etape de resolution. Pour la phase de modelisation, nous nous sommes interesses aux reseaux d'automates stochastiques (ras) qui ont ete introduits par b. Plateau. Dans la phase de resolution, nous nous sommes interesses au calcul de la distribution stationnaire d'une chaine de Markov qui est difficile a cause de la taille de l'espace d'etats pour des problemes realistes. Nous avons etudie la methode de reduction qui exploite la structure de la chaine pour reduire la complexite de calcul. Les fondements theoriques de cette methode ont ete developpes par f. Quessette. Cette methode est basee sur le calcul d'un transversal des circuits. Nous avons donc ajoute d'autres heuristiques pour le calcul d'un transversal. Une nouvelle methode qui combine perturbation et reduction avec elimination des transitions de faibles probabilites est proposee. Des methodes de comparaison stochastique et d'approximations sont utilisees pour evaluer les taux de perte dans un commutateur atm et les delais dans une file ayant une discipline de service equitable. Nous avons mis en oeuvre un logiciel xsan pour le calcul de la distribution stationnaire associee aux reseaux d'automates stochastiques avec une interface graphique pour la saisie de ras et plusieurs algorithmes de resolution