Miracle-dz/UniFAR-FTUs huggingface dataset:
Guidelines on the management of stable angina pectoris: executive summary: the task force on the management of stable angina pectoris of the European society of cardiology.

Under the heading ‘Hypertension, diabetes, and other disorders’ on page 1358, the guidelines1 lean on the taskforce report on CVD prevention2 suggesting ‘considering a lower threshold for institution of pharmacological therapy for hypertension (130/85) for patients with established coronary heart disease (which would include patients with …
Design of a force feedback haptic device based on an anthropomorphic arm

Nowadays, Virtual Reality technologies have spread in numerous industrial and research contexts for their ability to provide the perception of virtual spaces and objects by an appropriate combination of sensory channels stimuli. Haptic feedback enhances the user's perceptual immersion during the interaction with virtual prototypes. Commercial haptic force feedback devices are affected by some functional limitations, such as the size of workspace and the type of contact they can provide. The present work aims at developing an innovative device starting from the customization of an anthropomorphic arm. This allows to increase the workspace, to provide a surface contact and to improve the whole ergonomics of the system. The system multi-layer architecture is designed to have a lower level of robot control and a higher level of highly usable graphic user interface, which displays both the virtual prototype and the manipulating virtual probe.
Flexible Clipmaps for Managing Growing Textures

Previous work on large image data sets has evolved techniques for handling representations of these data that cache textures of arbitrary, but fixed, size in a limited amount of physical memory for rendering in realtime. In these approaches the texture data is usually pre-processed and arranged, for instance in a geometryindependent texture clipmap. New technologies in the area of remote sensing generate aerial images in realtime at a high rate in a patchwork-like pattern, and new images may replace previously captured image data. These patchwork-like image data can be used to create a growing texture which is dynamic in the sense that it may be updated in parts and grow in extension in the course of time. For such growing textures, current clipmap techniques are not appropriate. In this paper we introduce the Flexible Clipmap, a technique for incrementally generating a clipmap from a large virtual texture of dynamically changing content and extent. Our technique makes use of a tile-based clipmap approach and a common spatial indexing data structure to provide access to very large growing textures. We present an evaluation of our technique in the context of a remote sensing application which demands real-time rendering of growing texture data.
Rule based fuzzy cognitive maps - expressing time in qualitative system dynamics

Time is essential in the study of system dynamics. When representing and analyzing the dynamics of complex quantitative systems, the problem of expressing the "effect" of time flow is naturally solved since the mathematical equations that describe the relations between the entities of the system are a function of time. However, if we are dealing with real world qualitative systems that are impossible or difficult to model using mathematical equations, then the use of natural language becomes the best tool to represent the system and expressing time influence becomes a real issue that has not been addressed before. This paper introduces a coherent procedure to implicitly represent time in rule based fuzzy cognitive maps which are a previously introduced methodology and tool to represent and simulate the dynamics of qualitative systems.
Antennal Circadian Clocks Coordinate Sun Compass Orientation in Migratory Monarch Butterflies

Butterfly Navigation Monarch butterflies migrate to Mexico from various parts of North America in the fall and navigate with the aid of Sun compass. This navigational mechanism, also employed by migratory birds, uses the circadian clock to compensate for the positional change of the Sun in the sky throughout the day. The mechanism behind time-compensated Sun compass orientation has remained obscure. Merlin et al. (p. 1700; see the Perspective by Kyriacou) now provide comprehensive data showing that the mechanism resides in the antennae of the butterflies, rather than the brain, as previously thought. The “antennal clocks” found in the monarchs probably provide the primary timing mechanism for Sun compass orientation. These findings reveal a further function for the antennae—a function that may extend widely to other insects that use this orientation mechanism. Monarch butterfly antennae contain the timing mechanism for time-compensated Sun compass orientation. During their fall migration, Eastern North American monarch butterflies (Danaus plexippus) use a time-compensated Sun compass to aid navigation to their overwintering grounds in central Mexico. It has been assumed that the circadian clock that provides time compensation resides in the brain, although this assumption has never been examined directly. Here, we show that the antennae are necessary for proper time-compensated Sun compass orientation in migratory monarch butterflies, that antennal clocks exist in monarchs, and that they likely provide the primary timing mechanism for Sun compass orientation. These unexpected findings pose a novel function for the antennae and open a new line of investigation into clock-compass connections that may extend widely to other insects that use this orientation mechanism.
A time for telling

Suggestions for improving text understanding often prescribe activating prior knowledge, a prescription that may be problematic if students do not have the relevant prior knowledge to begin with. In this article, we describe research about a method for developing prior knowledge that prepares students to learn from a text or lecture. We propose that analyzing contrasting cases can help learners generate the differentiated knowledge structures that enable them to understand a text deeply. Noticing the distinctions between contrasting cases creates a "time for telling"; learners are prepared to be told the significance of the distinctions they have discovered. In 3 classroom studies, college students analyzed contrasting cases that consisted of simplified experimental designs and data from classic psychology experiments. They then received a lecture or text on the psychological phenomena highlighted in the experiments. Approximately 1 week later, the students predicted outcomes for a hypothetical experiment that could be interpreted in light of the concepts they had studied. Generating the distinctions between contrasting cases and then reading a text or hearing a lecture led to more accurate predictions than the control treatments of (a) reading about the distinctions between the cases and hearing alecture, (b) summarizing a relevant text and hearing a lecture, and (c) analyzing the contrasting cases twice without receiving a lecture. We argue that analyzing the contrasting cases increased students' abilities to discern specific features that differentiated classes of psychological phenomena, much as a botanist can distinguish subspecies of a given flower. This differentiated knowledge prepared the students to understand deeply an explanation of the relevant psychological principles when it was presented to them. These results can inform constructivist models of instruction as they apply to classroom activities and learning from verbal materials. In particular, the results indicate that there is a place for lectures and readings in the classroom if students have sufficiently differentiated domain knowledge to use the expository materials in a generative manner.
Conflict Resolution Profiles and Agent Negotiation for Group Recommendations

—The pervasive use of web technologies and online cooperation tools is posing new challenges in the design of recommender systems, requiring now a rapid move from individual to group recommendations. In this paper, a multi-agent system to provide support to small groups of users in their decision-making process is presented. In detail, the addressed problem is to ﬁnd a common solution for a group, represented by a set of activities in the touristic domain, among a huge set of possible alternatives, that meets the preferences of each member. The proposed system uses an automatic negotiation process that incrementally builds a candidate solution for the whole group according to the individual lists of each group member. Since the negotiation mechanism involves the real users to take part in the decision-making process, the proposed approach tries to limit the agreement search space during the negotiation process in order to minimize the user direct intervention. The proposed solution relies on negotiating agents that simulate the users’ behavior while trading by using different conﬂict resolution styles, obtained by applying the Thomas Kilmann model. The results obtained with both simulated and real users’ behavior show that the proposed system achieves a high probability of success, ﬁnding a shared solution, in most cases, in a relatively small number of rounds of negotiation. In addition, end users were satisﬁed with the received recommendations.
Bsp Vs Logp 1

A quantitative comparison of the BSP and LogP models of parallel computation is developed. We concentrate on a variant of LogP that disallows the so-called stalling behavior, although issues surrounding the stalling phenomenon are also explored. Very eecient cross simulations between the two models are derived, showing their substantial equivalence for algorithmic design guided by asymptotic analysis. It is also shown that the two models can be implemented with similar performance on most point-to-point networks. In conclusion, within the limits of our analysis that is mainly of an asymptotic nature, BSP and (stall-free) LogP can be viewed as closely related variants within the bandwidth-latency framework for modeling parallel computation. BSP seems somewhat preferable due to its greater simplicity and portability, and slightly greater power. LogP lends itself more naturally to multiuser mode.
An efficient face recognition algorithm based on frequency domain cross-correlation function

This paper presents a simple yet efficient feature extraction algorithm for face recognition based on the principle of spectral domain cross-correlation. Instead of considering the spatial data of a face image as a whole, spectral feature is extracted from the each row of the spatial data individually. As each of these rows bears distinct characteristic of the face image, considering row-wise Fourier domain representation of all of them ensures the extraction of detail variation in face geometry. It is shown that the cross-correlations obtained considering pairs of spectral representations of consecutive rows provide a signature of the particular face image reflecting the variation in the face geometry along the vertical direction. In a similar fashion, a horizontal signature can be obtained considering spectral cross-correlations along consecutive columns. In the proposed method, both of these horizontal and vertical signatures are utilized in order to obtain a distinguishable feature space for a particular person. It is found that the proposed feature extraction algorithm offers advantages of simple practical implementation with a high degree of face recognition accuracy.
Who Pays to Play Freemium Games? The Profiles and Motivations of Players Who Make Purchases Within Social Casino Games

Background and aims Social casino games (SCGs) feature gambling themes and are typically free to download and play with optional in-game purchases. Although few players spend money, this is sufficient to make them profitable for game developers. Little is known about the profile and motivations of paying players as compared to non-paying players. Methods This study compared the characteristics of 521 paying and non-paying Australian social casino game players who completed an online survey. Results Paying players were more likely to be younger, male, speak a non-English language, and have a university education than non-payers. Paying players were more likely to be more highly involved in SCG in terms of play frequency and engagement with games and emphasized social interaction more strongly as a motivation for playing. A cluster analysis revealed distinct subgroups of paying players; these included more frequent moderate spenders who made purchases to avoid waiting for credits and to give gifts to friends as well as less frequent high spenders who made purchases to increase the entertainment value of the game. Discussion These findings suggest that paying players have some fundamental differences from non-paying players and high spenders are trying to maximize their enjoyment, while non-spenders are content with the game content they access. Conclusions Given the structural similarities between SCG and online gambling, understanding subgroups of players may have broader implications, including identifying characteristics of gamers who may also engage in gambling and players who may develop problems related to excessive online gaming.
Directed Forgetting and Aging: The Role of Retrieval Processes, Processing Speed, and Proactive Interference

ABSTRACT The directed forgetting effect obtained with the item method is supposed to depend on both selective rehearsal of to-be-remembered (TBR) items and attentional inhibition of to-be-forgotten (TBF) items. In this study, we investigated the locus of the directed forgetting deficit in older adults by exploring the influence of recollection and familiarity-based retrieval processes on age-related differences in directed forgetting. Moreover, we explored the influence of processing speed, short-term memory capacity, thought suppression tendencies, and sensitivity to proactive interference on performance. The results indicated that older adults' directed forgetting difficulties are due to decreased recollection of TBR items, associated with increased automatic retrieval of TBF items. Moreover, processing speed and proactive interference appeared to be responsible for the decreased recall of TBR items.
From DTD to relational dB. An automatic generation of a lexicographical station out off ISLE guidelines

This paper describes the Lexicographic Station Development Platform and how it has been used to implement the resulting lexicon guidelines and standards generated by ISLE Computational Lexicon Group in a prototype tool for lexical encoding. The aims of the work described here were to (i) exemplify and disseminate the Multilingual ISLE Lexical Entry (MILE) using an actual model and available monolingual data (ii) make extensive use of already existing PAROLE and SIMPLE lexicons and (iii) to eventually test the goodness of the guidelines by using a real scenario. To cope with these aims, the LSDP was designed as a tool generator which could automatically generate a prototype lexicographic station out of ISLE guidelines when formally expressed in a DTD. Thus, we have tested and exemplified the recommendations expressed in MILE but in addition we have also proved that MILE can be implemented on already existing monolingual resources.
Compton Scattering in the Klein-Nishina Regime Revisited

In blazars such as 3C 279, GeV gamma rays are thought to be produced by inverse Compton scattering of soft photons injected from external sources into the jet. Because of the large bulk Lorentz factor of the jet, the energy of soft photons is Doppler shifted in the comoving frame of the jet, and the scattering is likely to occur in the Klein-Nishina regime. Although the Klein-Nishina effects are well known, the properties of the electron and emission spectra have not been studied in detail in the environment of blazars. We solve the kinetic equation of electrons with the spatial escape term of the electrons to obtain the electron energy spectrum in the jet and calculate the observed emission spectrum. In calculations of the Compton losses in the Klein-Nishina regime, we use the discrete loss formalism to take into account the significant energy loss in a single scattering. Although the scattering cross section decreases because of the Klein-Nishina effects, ample gamma rays are emitted by inverse Compton scattering. When the injection spectrum of electrons obeys a power law, the electron spectrum does not follow a broken power law, as a result of the Klein-Nishina effects, and a large number of high-energy electrons remain in the emitting region.
Amino-Terminal Phosphorylation of Activation-Induced Cytidine Deaminase Suppresses c-myc/IgH Translocation

ABSTRACT Activation-induced cytidine deaminase (AID) is a mutator enzyme that initiates class switch recombination and somatic hypermutation of immunoglobulin genes (Ig) in B lymphocytes. However, AID also produces off-target DNA damage, including mutations in oncogenes and double-stranded breaks that can serve as substrates for oncogenic chromosomal translocations. AID is strictly regulated by a number of mechanisms, including phosphorylation at serine 38 and threonine 140, which increase activity. Here we show that phosphorylation can also suppress AID activity in vivo. Serine 3 is a novel phospho-acceptor which, when mutated to alanine, leads to increased class switching and c-myc/IgH translocations without affecting AID levels or catalytic activity. Conversely, increasing AID phosphorylation specifically on serine 3 by interfering with serine/threonine protein phosphatase 2A (PP2A) leads to decreased class switching. We conclude that AID activity and its oncogenic potential can be downregulated by phosphorylation of serine 3 and that this process is controlled by PP2A.
Remind Me: An Adaptive Recommendation-Based Simulation of Biographic Associations

Classical reminiscence therapy has been shown to effectively enhance the stability of memory and identity in people with dementia. Typically, reminiscence therapy uses biography artifacts like photos and personal items and objects. Today, many of these artifacts are from the digital realm providing new options to adapt or even improve the purely analog therapy. In this work we propose a method to enhance reminiscence therapy by computer simulated biographic associations. Our approach provides assistance for associative reasoning on affective stimuli and thus enables access to biographic content so that no deliberate search is required. We develop a recommender model for mapping mental states to biographic content based on similarity. The system dynamically adapts its state and the depicted digital artifacts to the responses of the user. It is a first step towards an immersive reminiscence therapy which will incorporate associated stimuli on multiple channels to increase effectiveness. A preliminary study showed encouraging results concerning the usability of the system.
Unilateral Proptosis in Young Man : A Rare Manifestation of Intraosseous Meningioma

Benign primary intraosseous meningioma presented as unilateral proptosis is a rare case in our settings. The reported occurrence is 1%-2% of all meningiomas. This type of tumour has numerous nomenclature that represents its location outside the dural component, such as ectopic, extracranial, calvarial and extraneuraxial. Although it is a benign entity, the tumour can cause significant disfigurement, especially in the context of young individuals. We report a rare case of intraosseous meningioma of frontal and greater wing of sphenoid bone presented as proptosis in a young patient.
Generalized life and motion configurations reasoning model

Although intensive work has been devoted to Spatio-temporal (ST) qualitative reasoning models, some issues such as management of complex objects life and motion remain. First, ST histories’ clustering using a set of life and motion configurations is briefly presented. Then, we discuss a model based on the generalization of the life and motion configurations into a set of 25 relationships. These generalized configurations are assimilated to line-line topological relationships obtained by projecting life and motion configurations in a primitive space. Finally, interpretation of these generalized relationships in natural language is given.
Synthesis, Characterization, Single Crystal Structural Studies, Antibacterial Activity and DFT Investigations of 2-Chloro-5-Ethoxy-3,6-Bis(Methylamino)-1,4-Benzoquinone

A new compound 2-chloro-5-ethoxy-3,6-bis(methylamino)-1,4-benzoquinone (cemb) has been synthesized and characterized by various physicochemical techniques. The compound crystallizes in the triclinic system with the space group P-1 and contains extended hydrogen bonding interaction providing supramolecular architecture. The compound contains CHâââπ and oxygenâââπ interaction which stabilizes the crystal structure and is also responsible for the semiconducting behavior. The DFT calculations in the gaseous phase of cemb with B3LYP hybrid functional show good correlation with experimental results (single crystal XRD data) and are used to predict the molecular properties. Excluding the side ethyl group, the structure possesses Cs symmetry. The ring breathing mode of vibration is found to have frequency (551 cm-1) which is much lower as compared to the corresponding mode of benzene (991 cm-1). The bioefficacy of the compound has been examined against the growth of bacteria in vitro to evaluate antimicrobial potential. The pphotoluminescence properties indicate that the compound has characteristic fluorescence emissions. The HOMO and LUMO energy gap reveals that the energy gap reflects the chemical activity of the molecule.
Estimates of price and income elasticity in Greece. Greek debt crisis transforming cigarettes into a luxury good: an econometric approach

Objective During the past decades, smoking prevalence in Greece was estimated to be near or over 40%. Following a sharp fall in cigarette consumption, as shown in current data, our objective is to assess smokers’ sensitivity to cigarette price and consumer income changes as well as to project health benefits of an additional tax increase. Methods Cigarette consumption was considered as the dependent variable, with Weighted Average Price as a proxy for cigarette price, gross domestic product as a proxy for consumers’ income and dummy variables reflecting smoking restrictions and antismoking campaigns. Values were computed to natural logarithms and regression was performed. Then, four scenarios of tax increase were distinguished in order to calculate potential health benefits. Results Short-run price elasticity is estimated at −0.441 and short-run income elasticity is estimated at 1.040. Antismoking campaigns were found to have a statistically significant impact on consumption. Results indicate that, depending on the level of tax increase, annual per capita consumption could fall by at least 209.83 cigarettes; tax revenue could rise by more than €0.74 billion, while smokers could be reduced by up to 530 568 and at least 465 smoking-related deaths could be averted. Conclusions Price elasticity estimates are similar to previous studies in Greece, while income elasticity estimates are far greater. With cigarettes regarded as a luxury good, a great opportunity is presented for decisionmakers to counter smoking. Increased taxation, along with focused antismoking campaigns, law reinforcement (to ensure compliance with smoking bans) and intensive control for smuggling could invoke a massive blow to the tobacco epidemic in Greece.