Miracle-dz/UniFAR-FTUs huggingface dataset:
A Robust Trust Establishment Scheme for Wireless Sensor Networks

Security techniques like cryptography and authentication can fail to protect a network once a node is compromised. Hence, trust establishment continuously monitors and evaluates node behavior to detect malicious and compromised nodes. However, just like other security schemes, trust establishment is also vulnerable to attack. Moreover, malicious nodes might misbehave intelligently to trick trust establishment schemes. Unfortunately, attack-resistance and robustness issues with trust establishment schemes have not received much attention from the research community. Considering the vulnerability of trust establishment to different attacks and the unique features of sensor nodes in wireless sensor networks, we propose a lightweight and robust trust establishment scheme. The proposed trust scheme is lightweight thanks to a simple trust estimation method. The comprehensiveness and flexibility of the proposed trust estimation scheme make it robust against different types of attack and misbehavior. Performance evaluation under different types of misbehavior and on-off attacks shows that the detection rate of the proposed trust mechanism is higher and more stable compared to other trust mechanisms.
Crosslinguistic structural priming as a mechanism of contact-induced language change: Evidence from Papiamento-Dutch bilinguals in Aruba and the Netherlands

Abstract:Studies on language contact suggest that cross-language interactions in individual language use may lead to contact-induced change at the community level. We propose that the phenomenon of crosslinguistic structural priming may well drive this process. We investigated this by focusing on dative sentence production by Papiamento speakers in Aruba and in the Netherlands. In experiment 1, Papiamento speakers in Aruba and in the Netherlands described dative events. The speakers in the Netherlands produced more Dutch-like structures than the speakers in Aruba, especially younger speakers. In experiment 2, speakers from the same populations heard a Dutch prime sentence before describing a dative event in Papiamento. Syntactic choices were influenced by the Dutch prime sentences, and, again, especially younger speakers in the Netherlands produced more Dutch-like dative structures. This combination of results suggests that Papiamento syntactic preferences in the Netherlands are changing as a function of contact with Dutch, and that crosslinguistic structural priming is a likely mechanism underlying this change.
A physiological Plant Growth Simulation Engine Based on Accurate Radiant Energy Transfer

We present a new model for plant growth simulation, taking into account the eco-physiological processes driving plant development with unprecedented fidelity. The growth model, based on a physiological analysis, essentially simulates the internal function of the plant, and has been validated against measured biological data with excellent results. We show how to account for the influence of light through photosynthesis, and thereby incorporate the effects of a given plant's immediate environment on its architecture, shape and size. Since biological matter is controlled by water transpiration and received radiant enery, the model requires efficient and accurate simulation of radiant energy exchanges. We describe a complete lighting simulation system tailored for the difficult case of plants, by adapting state-of-the-art techniques such as hierarchical instanciation for radiosity and general BRDF modeling. Our results show that (a) our lighting simulation system efficiently provides the required information at the desired level of accuracy, and (b) the plant growth model is extremely well calibrated against real plants and (c) the combined system can simulate many interesting growth situations with direct feedback from the environment on the plant's characteristics. Applications range from landscape simulation to agronomical and agricultural studies, and to the design of virtual plants responding to their environment.
A SURVEY OF NUMERICAL METHODS FOR LÉVY MARKETS

The modeling of financial markets by Lévy process has become an active area of research during recent years. This has motivated an equal amount of, if not more, research activity into the necessary numerical methods. Due to the large body of work in this area, we focus our survey on fast numerical methods for Lévy markets. Particular emphasis is placed on grid-based methods.
Characterization of In-season Elite Football Trainings by GPS Features: The Identity Card of a Short-Term Football Training Cycle

Football training periodization is widely acknowledged as crucial to obtain the best performance throughout matches and to reduce the risk of injuries. Thus, the aim of this study is to detect the in-season short-term training cycles in an Italian elite football team. 80 trainings of 26 elite football players were monitored during 23 in-season weeks by a global position system (GPS). Machine learning process and autocorrelation analyses were performed in order to detect pattern inside in-season football trainings. Extra tree random forest classifier (ETRFC) was used to create a supervised machine learning process able to describe the football trainings cycle. This analytical model allows us to produce reliable decisions and results learning from historical relationships and trends in the data. In addition, the autocorrelation analysis allows us to detect similarity between observations between the data. Based on these analysis, it was found that the in-season football trainings are characterized by a series of short-term cycles. This kind of periodization follows a sinusoidal model because the short-term cycle detected in the in-season trainings is composed of two parts with different training loads. In particular, in the days long before the match football players perform higher training loads than in the close ones. To enhance performance and reduce risk of injuries, it would be essential to provide correct stimuli in each short-term cycle per day. Thus, developing a valid method able to define the correct training loads in each training day may be central for coaches and athletic trainers to periodize correctly the football trainings.
Linking the emotional maturity factors and self-disclosure: a study of Indian organizations

This paper aims to discuss a survey, carried out by the authors, of 256 employees employed in public and private manufacturing organizations in north India, to determine if emotional maturity factors have positive association with self-disclosure in the Indian context. Specifically, capitalization and social exchange theories support as major theoretical framework to examine the proposed relationship. ,The sample data used were collected through a cross-sectional survey-based research design and a convenience sampling method. Totally, 290 questionnaires were distributed during office hours, administered with a paper and pencil survey. However, in the final analysis, only 256 responses were considered for analysis using multiple hierarchical regression analysis. ,Results reveal that all dimensions of emotional maturity positively associated with self-disclosure. This study fully supports the applicability of capitalization and social exchange theories while explaining the proposed relationships in Indian context. ,The present study used a cross-sectional survey-based research design; future studies may use longitudinal research design. ,The study shows how to develop collective work culture and supportive work climate through emotional maturity and self-disclosure. Thus, employees become accustomed to multicultural team and cultural diversity issues at the workplace. The study also recommended that the organized employees social gathering will create positive feeling, and that such feelings of belonging to a group among employees will give reasons for self-disclosure and finally, in turn, to employee effectiveness. ,More predominantly, the proposed association has not been examined before and the findings serve as a potential policy guideline for the self-disclosure literature through the perspective of capitalization and social exchange theories in understudied non-US cultures such as India.
The Master Field for Large-N Matrix Models and Quantum Groups

In recent works by Singer, Douglas, Gopakumar and Gross an application of results of Voiculescu from noncommutative probability theory to constructions of the master field for large-N matrix field theories have been suggested. It turns out that this master field becomes the Boltzmann field in the free Fock space. In this note we consider interrelations between the master field and quantum semigroups. We define the master field algebra and observe that it is isomorphic to the algebra of functions on the quantum semigroup SUq(2) for q=0. The master field becomes a central element of the quantum group bialgebra. The quantum Haar measure on the SUq(2) for any q gives the Wigner semicircle distribution for the master field. Coherent states on SUq(2) become coherent states in the master field theory.
Mul-T: a high-performance parallel Lisp

Mul-T is a parallel Lisp system, based on Multilisp's future construct, that has been developed to run on an Encore Multimax multiprocessor. Mul-T is an extended version of the Yale T system and uses the T system's ORBIT compiler to achieve “production quality” performance on stock hardware — about 100 times faster than Multilisp. Mul-T shows that futures can be implemented cheaply enough to be useful in a production-quality system. Mul-T is fully operational, including a user interface that supports managing groups of parallel tasks.
What Explains Superior Retail Performance?

We analyze the performance of retail firms for the period 1978-97 using public financial data. Our performance measures are long-term stock returns and whether the firm filed for bankruptcy in the period of study. We assume that over a long time period of at least five years, stock returns are a reasonable measure of the overall success of a firm. We have found a very wide disparity in performance between firms. On the one hand, retailers like Wal-Mart, the Gap and Circuit City have had phenomenal success (nineteen year compounded stock returns of 31.2%, 29.5%, and 34.5%, respectively), while on the other, 17% of the public retail firms filed for bankruptcy. We investigate how the following levers managed by the CEO of a retail firm affect performance: return on assets, sales growth, inventory turns, gross margin, financial leverage, and selling, general, and administrative expenses. The nature of the analysis is contemporaneous, providing insights into managerial actions that correlate with success as measured by stock returns, but not a prediction of future stock returns. We find that (1) return on assets, sales growth, standard deviation of return on assets and financial leverage explain more than 50% of the variation in stock returns for periods of ten years or more; (2) retailers in different segments - apparel, department stores, grocery and convenience stores, drugs and pharmaceuticals, jewelry, consumer electronics, home furnishings, toys, and variety stores - achieve similar return on assets and return on equity by following very different strategies with respect to their gross margins and inventory turns; (3) even within the same segment, high gross margin correlates with low inventory turns, and with high selling, general, and administrative expenses; (4) risk of bankruptcy is related to the mismatch between how fast a firm attempts to grow versus what growth rate it realizes. We also test for a negative correlation between sales growth and return on assets, which is widely believed to be true but is not borne out by our data.
Appendix a a " Flip-flop " Rotation Stage for Routine Dual-axis Electron Cryotomography

Electron cryotomography can be used to solve the three-dimensional structures of individual large macromolecules, assemblies, and even small intact cells to medium (~ 4–8 nm) resolution in a near-native state, but restrictions in the range of accessible views are a major limitation. Here we report on the design, characterization, and demonstration of a new " flip-flop " rotation stage that allows facile and routine collection of two orthogonal tilt-series of cryosamples. Single-and dual-axis tomograms of a variety of samples are compared to illustrate qualitatively the improvement produced by inclusion of the second tilt-series. Exact quantitative expressions are derived for the volume of the remaining " missing pyramid " in reciprocal space. When orthogonal tilt-series are recorded to ±65° in each direction, as this new cryostage permits, only 11% of reciprocal space is left unmeasured. The tomograms suggest that further improvement could be realized, however, through better software to align and merge dual-axis tilt-series of cryosamples.
Validating Literary Theories Using Automatic Social Network Extraction

In this paper, we investigate whether longstanding literary theories about nineteenthcentury British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.
IPC-4 Probabilistic Planning Track : FAQ 0 . 5 September 13 , 2003

The 2004 International Planning Competition, IPC-4, will include a probabilistic planning track for the first time. This document provides some of the high level decisions that have been made concerning how the competition will be run. The 2004 International Planning Competition, IPC-4, will include a probabilistic planning track for the first time. This document lays out some of the high level decisions that have been made concerning how the competition will be run. The details are still in flux at the time of this writing, and we hope to get feedback from the participants to spelled them out more precisely during the fall. The overriding goal of the probabilistic planning track is to bring together two communities converging on a similar set of research issues and aid them in creating comparable tools and approaches. One community consists of Markov decision process (MDP) researchers interested in developing algorithms that apply to powerfully expressive representations of environments. The other consists of planning researchers incorporating probabilistic and decision theoretic concepts into their planning algorithms. Cross fertilization has begun, but the probabilistic planning track promises a set of shared benchmarks and evaluation metrics that could crystallize efforts in this domain of study. This document represents a snapshot of the ongoing development of the IPC-4 probabilistic track. For the latest developments, please visit: http://www.cs. rutgers.edu/ ∼mlittman/topics/
Utilizing HaloTag Technology to Track the Fate of PCSK9 from Intracellular vs. Extracellular Sources

The function of a particular protein is dependent upon its localization and milieu. The ability to track the "fate" of a protein is a valuable tool to elucidate its function. We present the use of HaloTag technology to study the localization and fate of human Proprotein Convertase Subtilisin-like Kexin type 9 (PCSK9). The role of PCSK9 in the regulation of circulating low density lipoprotein-cholesterol (LDL-c) levels is ascribed to binding of circulating PCSK9 to the LDL receptor (LDLR) and subsequent lysosomal degradation of LDLR. However, hints in the literature indicate that intracellular PCSK9 may act on the LDLR, possibly during processing of newly synthesized protein. To address this question, the source and fate of intracellular PCSK9 requires further investigation. We applied HaloTag technology to distinguish the source of intracellular PCSK9 and showed that newly synthesized intracellular PCSK9 has unique localization from the PCSK9 after re-uptake. This suggests different functions of PCSK9 while interacting with the LDLR.
Using mental load for managing interruptions in physiologically attentive user interfaces

Today's user is surrounded by mobile appliances that continuously disrupt activities through instant message, email and phone call notifications. In this paper, we present a system that regulates notifications by such devices dynamically on the basis of direct measures of the user's mental load. We discuss a prototype Physiologically Attentive User Interface (PAUI) that measures mental load using Heart Rate Variability (HRV) signals, and motor activity using electroencephalogram (EEG) analysis. The PAUI uses this information to distinguish between 4 attentional states of the user: at rest, moving, thinking and busy. We discuss an example PAUI application in the automated regulation of notifications in a mobile cell phone appliance.
A 3D Teacher for Car Detection in Aerial Images

This paper demonstrates how to reduce the hand labeling effort considerably by 3D information in an object detection task. In particular, we demonstrate how an efficient car detector for aerial images with minimal hand labeling effort can be build. We use an on-line boosting algorithm to incrementally improve the detection results. Initially, we train the classifier with a single positive (car) example, randomly drawn from a fixed number of given samples. When applying this detector to an image we obtain many false positive detections. We use information from a stereo matcher to detect some of these false positives (e.g. detected cars on a facade) and feed back this information to the classifier as negative updates. This improves the detector considerably, thus reducing the number of false positives. We show that we obtain similar results to hand labeling by iteratively applying this strategy. The performance of our algorithm is demonstrated on digital aerial images of urban environments.
Detecting communities in social networks by techniques of clustering and analysis of communications

Analysis of social networks will result in detection of communities and interactions between individuals. A community consists of nodes in which density of links is high. Most of existing methods presented for detecting communities, only consider the network's graph without bringing the topics into account. In this article a new method has been discussed which uses ontology and by applying clustering algorithms regarding the topics, clusters the network. After that, by utilization of link analysis, detects communities in each cluster. Results show that this method has a better precision in detecting communities and keeping relevant communications around one topic inside a community.
A Spatio-Temporal Authoring Tool for Multimedia SMIL Documents

we present in this paper a spatiotemporal SMIL editor with incremental verification capabilities. Our authoring tool, named SMIL Builder V2, is the extended version of our temporal editor SMIL Builder, defined in a previous work. The new version SMIL Builder V2 deals with spatial layout as well as spatio-temporal errors, like spatial conflict. The spatial conflict is a major problem that affects the quality of multimedia presentations. It occurs when two visual objects overlap, partially or totally, in space and in time. The editor will have to respond to each operation of modification on the document. In the case of a spatial conflict, the author will be informed of the problem and be assisted by the system that proposes a diagnosis and some possible solutions.
The Influence of flow, subjective norms and attitude on Generation Y students adoption intentions toward mobile games

In South Africa, mobile gaming revenue has eclipsed the revenue of both traditional console and computer video games. It has also become an important marketing medium for marketers wishing to promote their brands. However, there is a lack of knowledge surrounding how mobile games have grown so rapidly worldwide, including in South Africa, and why consumers are adopting them at such high rates. The purpose of this study was to determine the influence of flow, subjective norms and attitude on Generation Y students’ behavioural intention to adopt mobile games in South Africa. A self-administered questionnaire was used to collect data from a convenience sample of 502 students registered at the campuses of three higher education institutions. The captured data were analysed using descriptive measures, correlation analysis and structural equation modelling. The findings suggest that flow, subjective norms and attitude have a significant positive influence on Generation Y students’ intention to play mobile games.
The SWI/SNF Chromatin Remodeling Complex Selectively Affects Multiple Aspects of Serotonergic Neuron Differentiation

Regulatory programs that control the specification of serotonergic neurons have been investigated by genetic mutant screens in the nematode Caenorhabditis elegans. Loss of a previously uncloned gene, ham-3, affects migration and serotonin antibody staining of the hermaphrodite-specific neuron (HSN) pair. We characterize these defects here in more detail, showing that the defects in serotonin antibody staining are paralleled by a loss of the transcription of all genes involved in serotonin synthesis and transport. This loss is specific to the HSN class as other serotonergic neurons appear to differentiate normally in ham-3 null mutants. Besides failing to migrate appropriately, the HSNs also display axon pathfinding defects in ham-3 mutants. However, the HSNs are still generated and express a subset of their terminal differentiation features in ham-3 null mutants, demonstrating that ham-3 is a specific regulator of select features of the HSNs. We show that ham-3 codes for the C. elegans ortholog of human BAF60, Drosophila Bap60, and yeast Swp73/Rsc6, which are subunits of the yeast SWI/SNF and vertebrate BAF chromatin remodeling complex. We show that the effect of ham-3 on serotonergic fate can be explained by ham-3 regulating the expression of the Spalt/SALL-type Zn finger transcription factor sem-4, a previously identified regulator of serotonin expression in HSNs and of the ham-2 Zn transcription factor, a previously identified regulator of HSN migration and axon outgrowth. Our findings provide the first evidence for the involvement of the BAF complex in the acquisition of terminal neuronal identity and constitute genetic proof by germline knockout that a BAF complex component can have cell-type-specific roles during development.
Combining Rules and Activities for Modeling Service-Based Business Processes

It is widely acknowledged that business process management would greatly benefit from integration with business rule management. But there is still no established solution to this integration problem, and the leading business process modeling language, BPMN, does not provide any explicit support for rules. In this paper, we are going to investigate the extension of BPMN by adding rules as a modeling concept in the form of a new gateway type, using the principles of model-driven engineering. The integration will be done on the level of the metamodels of the involved languages, resulting in a new rule-based process modeling language called rBPMN (rule-based BPMN).