Miracle-dz/UniFAR-FTUs huggingface dataset:
A Biometric Identity Based Signature Scheme with Convenient Verification

We describe an identity based signature scheme that uses biometric data to construct the public key. A biometric reading provided by the alleged signer would be enough to verify the signature. We make use of fractal transform and entropy arrangement algorithm to generate the public key string from a biometric measurement. We then make use of Shamir scheme [1] to perform signing and verification. Finally, we describe two possible attacks on this system and suggest ways to combat it. The result of experiments have shown that the scheme could satisfy the practical applies.
Comparison of functional magnetic resonance imaging in cerebral activation between normal Uygur and Mandarin participants in semantic identification task.

PURPOSE This study utilized blood oxygenation level-dependent functional magnetic resonance imaging (BOLD-fMRI) technology to study the activated cerebral regions in normal participants whose native language was Uyghur or Chinese. METHODS We collected the fMRI data from 15 Uyghur-speaking volunteers and 15 Mandarin-speaking volunteers when executing the semantic identification task and compared the results of two groups. RESULTS Statistically significant difference of brain activation was found primarily in the left anterior cingulate gyrus (BA23) and the midline precuneus (P<0.05). When performing the semantic identification task, the Uyghur group exhibited significant activation in these two regions, whereas the Chinese group demonstrated relatively weak activation in these areas. CONCLUSION The cerebral regions activated by Uyghur and Chinese semantic identification are not identical, the dominant hemisphere for both languages is the left cerebral hemisphere. The left anterior cingulate gyrus might have a language function in Uyghur semantic processing.
Human Neuroscience Original Research Article Dissociation of Response and Feedback Negativity in Schizophrenia: Electrophysiological and Computational Evidence for a Deficit in the Representation of Value

Contrasting theories of schizophrenia propose that the disorder is characterized by a deficit in phasic changes in dopamine activity in response to ongoing events or, alternatively, by a weakness in the representation of the value of responses. Schizophrenia patients have reliably reduced brain activity following incorrect responses but other research suggests that they may have intact feedback-related potentials, indicating that the impairment may be specifically response-related. We used event-related brain potentials and computational modeling to examine this issue by comparing the neural response to outcomes with the neural response to behaviors that predict outcomes in patients with schizophrenia and psychiatrically healthy comparison subjects. We recorded feedback-related activity in a passive gambling task and a time estimation task and error-related activity in a flanker task. Patients' brain activity following an erroneous response was reduced compared to comparison subjects but feedback-related activity did not differ between groups. To test hypotheses about the possible causes of this pattern of results, we used computational modeling of the elec-trophysiological data to simulate the effects of an overall reduction in patients' sensitivity to feedback, selective insensitivity to positive or negative feedback, reduced learning rate, and a decreased representation of the value of the response given the stimulus on each trial. The results of the computational modeling suggest that schizophrenia patients exhibit weakened representation of response values, possibly due to failure of the basal ganglia to strongly associate stimuli with appropriate response alternatives.
A Case Study into Predictable and Composable MPSoC Reconfiguration

The number of applications running concurrently on a MPSoC is ever increasing. Moreover, the set of running applications is often unknown at design-time. Part of the resource allocation decisions must therefore be deferred to run-time. This requires a run-time manager to optimize the resource usage of the system to preserve energy and allow as many applications as possible to use the resources simultaneously. An effective resource manager should therefore be able to reconfigure the resource assignment of running applications. To this end, a run-time task migration mechanism is needed. A user should however not notice the reconfiguration, as this would impact the perceived quality of the system. Hence, the reconfiguration mechanism should provide timing guarantees on its operation and it should not interfere with other applications running on the same system (i.e., it should be predictable and composable). In this paper, we present a practical implementation of such a predictable and composable MPSoC reconfiguration mechanism. We demonstrate the use of this mechanism on a JPEG decoder whose tasks are migrated at run-time while running on a state-of-the-art MPSoC platform.
A Framework for Affective Intelligent Tutoring Systems

In social context, emotions play a prominent role in verbal and non-verbal communication. With their multi-modal perception, the aptitude of an interlocutor in identifying them, through a diversity of behaviors such as face movements, gestures, speech, is a fundamental aspect as judgment and decision making are influenced by mood, feelings, which facilitates human adaptation and social integration. In a cognitive activity such as learning, communication (between learners and tutors) is one of the fundamental issues, and its quality may influence the learning. Therefore, learning process implies cognitive aspects as well as socio-emotional aspects: in real world, teaching also implies to observe the student's affective behavior in order to detect affective responses which can express interest, excitation, confusion, etc. and suggest a review of the actual interaction flow. This paper presents an intelligent tutoring systems (ITS) architecture equipped with emotional management capabilities which make it possible the capture of student emotions during learning and affective response to learners' actions. The result system called AITS (affective tutoring system) could efficiently adapt content planning, learning/tutoring strategies and even tutoring dialogues based on affective and cognitive data
The influence of mass‐loss from a star cluster on its dynamical friction – I. Clusters without internal evolution

Many Local Group dwarf spheroidal galaxies are found in the Galactic halo along great circles in the sky. Some of these stellar systems are thought to be the fragments of larger parent galaxies which have once intruded into and were torn apart by the tide of the Galaxy. Supporting evidence for tidal disruption is found in the form of stellar tidal bridges and tails along the orbits of some dwarf galaxies and globular clusters. In this study, we investigate the influence of mass-loss from star clusters or dwarf galaxies on the rate of their orbit decay due to the effect of dynamical friction. Using a series of numerical N-body simulations, we show that stars, which become unbound from their host systems, but remain in their vicinity and share their orbits, still contribute to the mass responsible for the dynamical friction. As a rule-of-thumb, the magnitude of dynamical friction at any instance can be approximated by the bound mass plus half of the mass which has already become unbound during the proceeding Galactic orbit. Based on these results, we suggest the tidal disruption of relatively massive satellite stellar systems may be more abrupt than previously estimated.
An On-line Sensor Selection Algorithm for SPRT With Multiple Sensors

We present an on-line sensor selection strategy (SSS) for the Sequential Probability Ratio Test (SPRT) with multiple sensors. Each sensor incurs an associated observation cost. We aim to design an SSS, in which the sensor selection may depend causally on the measurement values, that minimizes the expected total observation cost. In general, the optimal SSS can be obtained by solving a dynamic program; however, the problem is computationally quite demanding. We propose a computationally efficient algorithm in which we partition the state space into three regions and solve for the SSS in each region. The computational complexity of the proposed algorithm is linear in the number of sensors and numerical results show that it can well approximate the optimal SSS.
Posttraumatic stress and depressive symptoms, alcohol use, and recurrent traumatic life events in a representative sample of hospitalized injured adolescents and their parents.

OBJECTIVE Few investigations have comprehensively assessed the scope of impairment of injured adolescents presenting to acute care inpatient settings. METHODS Randomly sampled injured adolescent inpatients and their parents were screened for posttraumatic stress (PTS) and depressive symptoms, preinjury alcohol use, and preinjury trauma. Linear regression was used to assess which clinical, demographic, and injury characteristics were independently associated with increased levels of adolescent PTS and depressive symptoms. RESULTS Fifty-seven percent [corrected] of adolescent-parent dyads endorsed high levels of PTS or depressive symptoms and/or high preinjury alcohol use. Adolescent female gender, greater levels of preinjury trauma, greater subjective distress at the time of the injury, and greater parental depressive symptoms were independently associated with increased levels of adolescent PTS and depressive symptoms. CONCLUSIONS The adoption of early screening and intervention procedures that broadly consider the scope of impairment of injured adolescents and their family members could enhance the quality of acute care mental health service delivery.
Two Genes Encoding New Carotenoid-Modifying Enzymes in the Green Sulfur Bacterium Chlorobium tepidum

ABSTRACT The green sulfur bacterium Chlorobium tepidum produces chlorobactene as its primary carotenoid. Small amounts of chlorobactene are hydroxylated by the enzyme CrtC and then glucosylated and acylated to produce chlorobactene glucoside laurate. The genes encoding the enzymes responsible for these modifications of chlorobactene, CT1987, and CT0967, have been identified by comparative genomics, and these genes were insertionally inactivated in C. tepidum to verify their predicted function. The gene encoding chlorobactene glucosyltransferase (CT1987) has been named cruC, and the gene encoding chlorobactene lauroyltransferase (CT0967) has been named cruD. Homologs of these genes are found in the genomes of all sequenced green sulfur bacteria and filamentous anoxygenic phototrophs as well as in the genomes of several nonphotosynthetic bacteria that produce similarly modified carotenoids. The other bacteria in which these genes are found are not closely related to green sulfur bacteria or to one another. This suggests that the ability to synthesize modified carotenoids has been a frequently transferred trait.
A Keyphrase Extraction Approach for Social Tagging Systems

Social tagging systems allow people to classify resources by using a set of freely chosen terms named tags. However, by shifting the classification task from a set of experts to a larger and not trained set of people, the results of the classification are not accurate. The lack of control and guidelines generates noisy tags (i.e. tags without a clear semantics) which deteriorate the precision of the user generated classifications. In order to face this limitation several tools have been proposed in the literature for suggesting to the users tags which properly describe a given resource. In this paper we propose to suggest n-grams (named keyphrases) by following the idea that sequences of two/three terms can better face potential ambiguities. More specifically, in this work, we identify a set of features which characterize n-grams able to describe meaningful aspects reported in Web pages. By means of these features we developed a mechanism which can support people to manually classify Web pages by automatically suggesting meaningful keyphrases expressed in English.
LG-CDS: Local group connected dominating set for multicasting in MANETs

In this paper we present Local Group Connected Dominating Set (LG-CDS) algorithm which can be used in conjunction with SMF protocol for multicasting in MANETs. LG-CDS performs distributed election of relays for connecting members of locally located groups using only two-hop neighborhood information. It is worth noting that the algorithm can be tuned to elect redundant relays to improve fault tolerance. Using simulation in ns-3 we evaluate the performance of LG-CDS and show that our approach provides high network capacity while being stable to topology changes.
The relation-based knowledge representation of King Kong

This paper presents an overview of the knowledge representation facilities of King Kong a transportable natural language system. The thrust of the paper is towards demonstrating how the particulars of Kong's representation language support the processing of key phenomena of natural language. To this extent, we cover Kong's terminological hierarchies; the logical language in which Kong encodes utterance meanings; and the query evaluator that interfaces Kong to expert system back ends. We focus particularly on King Kong's innovative treatment of relations, as this treatment provides the system with much of its language analysis strengths.
Pregabalin in the management of partial epilepsy

Pregabalin is a new antiepileptic medication that works by binding to alpha 2 delta subunit of the voltage-dependent calcium channels present in presynaptic neurons. Its pharmacokinetic advantages include rapid and almost complete absorption, lack of protein binding, linear kinetics, absence of enzyme induction, and absence of interactions with other drugs. Pregabalin was found effective as adjunctive therapy for refractory partial-onset seizures, with up to 51% responder at a dose of 600 mg/day. The lowest effective dose was 150 mg/day. Pregabalin is also approved for treatment of painful diabetic polyneuropathy, postherpetic neuralgia and pain with fibromyalgia. Studies also suggest a beneficial effect on sleep and generalized anxiety disorders. Its main adverse effects in randomized adjunctive trials in adults have been mild to moderate. Most common side effects were dizziness, ataxia, somnolence and diplopia. Weight gain was not prominent in pivotal pregabalin trials, but was more problematic in long-term postmarketing analyses in epilepsy patients. Pregabalin, with its potent antiseizure effect, favorable pharmacokinetic profile, and effectiveness in common co-morbidities is an important addition to the treatment of epilepsy.
No . 390 / July 2012 Productivity , Rank and Returns in Polygamy

This study sheds light on the development of family structures in a polygamous context and offers an explanation for the association between outcomes of children and the status of their mothers among wives, based on observable maternal characteristics. Using a game theoretical approach I show that highly productive wives are more strongly demanded in the marriage market than less productive ones so that a selection into being the first wife with respect to productivity takes place. Furthermore, productivity is positively associated with a woman’s bargained share of family income to be spent on consumption and investment, due to greater contributions to family income and larger outside options. The findings are empirically supported by a positive relationship between indicators of female productivity, women’s levels of seniority among wives, and their children’s educational outcomes in rural Ethiopia. ∗IIIS and Department of Economics, Trinity College Dublin. E-mail: matzj@tcd.ie. I would particularly like to thank Gaia Narciso for her invaluable and continuous support. Furthermore, I am grateful to Gani Aldashev, Tekie Alemu, Kelly de Bruin, Christian Danne, Benjamin Elsner, Robert Gillanders, Worku Heyru, Eoin McGuirk, Carol Newman, Zeratzion Woldelul, and participants of various conferences and workshops for helpful comments. Funding from the Graduate Research Education Programme by the Irish Research Council for the Humanities and Social Sciences and from the Department of Economics at Trinity College Dublin is gratefully acknowledged. All errors are mine.
A Transitive Recommendation System for Information Technology Communities

Social networks have become a new trend for research among computer scientist around the world. Social network had an impact on users' way of life. One of social network usages is recommendation systems. The need of recommendation systems is arising when users try to know best choice for them in many items types (books, experts, locations, technologies.etc). The problem is that a single person can't try all alternatives in all possibles life goals to compare. Thus, a person has to use his friends' expertise to select better option in any item category. This process is the main idea of “Recommendation Systems”. Recommendation systems usually depend on users-to-items ratings in a network (graph). Two main challenges for recommendation systems are accuracy of recommendation and computation size. The main objective of this paper is to introduce a suggested technique for transitive recommendation system based on users' collaborative ratings, and also to balance loading of computation. All this has to be applied on a special type of social network. Our work studied the transitivity usage in connections to get a relation (path) as a recommendation for nodes not directly connected. The target social network has eight types of nodes. So, there are techniques that are not suitable to this complex type of network. Those we can present a new support for recommending items of several types to users with several types. We believe that this functionality hasn't been fully provided elsewhere. We have suggested using single source shortest path algorithm combined with Map Reduce technique, and mathematically deduced that we have a speeding up of algorithm by 10% approximately. Our testing results shows an accuracy of 89% and false rejection of 99% compared to traditional algorithms with less configuration parameters and more steady count of recommendations.
All Rivals Are Not Equal: Clarifying Misrepresentations and Discerning Three Core Properties of Rivalry

Rivalry is ubiquitous across sports, yet the representation and specification of rivalry varies widely. Such discrepancy poses problems when distinguishing between multiple out-groups and when employing rivalry to explain related questions such as demand for sport consumption. In this paper, we critically examine the many differing conceptions of rivalry and to discern properties of rivalry across different sports. We survey college football fans (N = 5,304) to empirically test the exclusivity, scale, and symmetry of rivalry; then, we replicate the study twice in the context of professional sports (1,649 National Football League fans; 1,435 National Hockey League fans). Results consistently indicate that fans perceive multiple rivals (nonexclusive), rivalry intensity varies among rivals (continuous in scale), and opposing fans rarely share equivalent perceptions of the rivalry (bidirectional). Accordingly, we develop and test a parsimonious 100-point rivalry allocation measure that specifies these three p.
Pub - point upon body: exploring eyes-free interaction and methods on an arm

This paper presents a novel interaction system, PUB (Point Upon Body), to explore eyes-free interaction in a personal space by allowing users tapping on their own arms to be provided with haptic feedback from their skin. Two user studies determine how users can interact precisely with their forearms and how users behave when operating in their arm space. According to those results, normal users can divide their arm space at most into 6 points between their wrists and elbows with iterative practice. Experimental results also indicate that the divided pattern of each user is unique from that of other ones. Based on the design principles from the observations, an interaction system, PUB, is designed to demonstrate how interaction design benefits from those findings. Two scenarios, remote display control and mobile device control, are demonstrated through the UltraSonic device attached on the users' wrists to detect their tapped positions.
Power minimization in the multiuser downlink under user rate constraints and imperfect transmitter CSI

The aim of this work is to jointly achieve individual rate requirements and minimum total transmit power in the vector Broadcast Channel (BC). Data streams are transmitted from a multi-antenna base station to several non-cooperative single-antenna receivers having perfect Channel-State-Information (CSI). Partial CSI, e.g., obtained via feedback, is used for the design of linear transmit filters at the transmitter. Employing a duality between Multiple Access Channel (MAC) and BC rate regions and the so-called standard interference functions, we propose an algorithmic joint solution for the transmit filter design and the power allocation in this work.
Clinical Interventions in Aging Dovepress Relationship between Frequent Knee Pain, Obesity, and Gait Speed in Older Adults: Data from the Osteoarthritis Initiative

hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Background: Knee pain (KP) causes gait difficulties in older adults and is associated with slow gait speed (GS). Obesity has negative effects on health. GS is an important indicator of health, well-being, and mean life span in older adults and is a strong predictor of future disability and mortality. The relationship between frequent KP, obesity, and GS in older adults remains unclear. Therefore, the present study aimed at examining the relationship between baseline frequent KP and obesity status on GS over time. We hypothesized that frequent KP, obesity, or both would be associated with decreased GS over time. Methods: The data from the Osteoarthritis Initiative were used for this 6-year longitudinal cohort study. We studied 3,118 adults aged between 45 years and 79 years. We grouped the participants into the following four categories according to KP frequency and obesity status at baseline: 1) no KP and nonobese, 2) frequent KP and nonobese, 3) no KP and obese, and 4) frequent KP and obese. GS measurements were based on a 20 m walking test timed using a stopwatch; testing was performed at baseline and over a 6-year follow-up period. Walk pace (m/sec) was calculated as the average pace over two trials conducted at clinic visits. General linear mixed models were used to examine the relationships between frequent KP, obesity, and GS. Results: After adjusting for all covariates, at baseline, all the nonobese group with frequent KP exhibited decreased GS compared with the nonobese and no KP group. However, the associations between frequent KP, obesity, and GS over time were not statistically significant. Conclusion: Frequent KP alone, obesity alone, and the combination of frequent KP and obesity were all associated with decreased GS in older adults. These associations did not change in any of the groups longitudinally; as such, the slopes corresponding to the data remained unchanged.