Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive M-QAM signaling for dynamic spectrum access

In this paper we consider an OFDM multiuser system with K orthogonal subcarriers. We assume each user uses M-QAM modulation in each subcarrier. The modulation must be adaptive to cope with propagation changes and to meet the bit error rate requirement of the user. We maximize the sum of information bits per user selfishly, and compare the performance with other power allocation algorithms. Surprisingly, measuring rate by constellation size instead of Shannon's capacity yields a power allocation algorithm that differ widely from previously known power allocation algorithms, such as the iterative water filling algorithm (IWFA). This is because we only accept bit error rates better than 10−3 and the rate achieved with modulation can only be discrete values, whereas other algorithms based on Shannon's capacity can achieve any rate.
Self-interference noise limitations of RFID readers

In this contribution we compute the read range limits of RFID readers also modelling the often ignored self-interference and leakage cancellation effects. The forward link limit is defined by the sensitivity of the tag, while the reverse link limit depends on the ability of the reader to decode the tag message. We will express the reverse link limit and the receiver Signal to Noise Ratio (SNR), whose dominating expression is the self-interference noise. Further, we will introduce two Figures Of Merits (FOMs) relevant for the reverse link limit. In a broad range of these FOMs, the receiver SNR is independent of the transmit power and reader noise figure. Further, we calculate the average suppression gain of leakage cancellers which enables us to upper-bound the noise effective cancellation gain which directly relates with the reverse link limit.
Functional Cognitive Changes in Developing Adolescents

The ability to accurately filter and suppress irrelevant information with competing thoughts and actions involves the attainment of higher cognitive functions through development. Specifically, the prefrontal cortex has been shown to play and important role in the progressive maturity of these executive functions, which are highly correlated to age-related development. To date, few studies have researched functional brain changes throughout adolescence. The efficiency in testing an individual’s ability to inhibit prepotent responses to irrelevant information, thoughts, and actions has been examined through the use of an emotional counting Stroop paradigm, and go/no-go assay. Response time and accuracy were compared between three cohorts, labeled as pre-adolescent (n = 45, mean age=12 years), adolescent (n = 12, mean age =17 years), and adult (n = 18, mean age = 22 years). It was found that during “go” trials, adolescents were significantly faster than individuals in the pre-adolescent group. During “no-go” trials, adolescents were significantly worse at inhibiting a response to irrelevant information. Within the Stroop paradigm, no significant differences were recorded between any of the cohorts. Performance levels between groups suggest that age differences are correlated to some cognitive functions; thus, contributing to existing literature regarding types of neural plasticity during the maturational process. Specifically, the ability to inhibit irrelevant information becomes more fully developed as an individual ages. Further research should include neuroimaging techniques, such as functional magnetic resonance imaging (fMRI) in order to better relate functional changes to structural differences between groups.
High accuracy model-based object pose estimation for autonomous recharging applications

This contribution describes a system for accurate, robust and fast six degrees-of-freedom object pose estimation based on multi-feature models and a recursive filtering approach in the context of autonomous vehicle recharging. Feature measurements are integrated sequentially to allow full control over the feature detection algorithms and the influence on the estimate. This makes the system able to cope with partial and short-term full object occlusions, Gaussian measurement noise as well as systematic model errors. For highly precise pose estimates, high resolution cameras are employed. Nevertheless, the proposed system achieves real-time performance while at the same time outperforming other algorithms in terms of accuracy and robustness.
Measuring the Specificity of Terms for Automatic Hierarchy Construction

This paper introduces new specificity measuring methods of terms using compositional and compositional information. Specificity of a term is the quantity of domain specific information contained in the term. Specific terms have larger quantity of domain information than general terms. Specificity is an important necessary condition for building hierarchical relations among terms. If X1 is a descendant of X2, then the specificity of X1 is greater than that of X2. As domain specific terms are commonly compounds of the generic level term and some modifiers, compositional information is important to represent the meaning of terms. Contextual information is also used to mitigate the shortcomings of compositional information. Because information theory constitutes a well known formalism for describing information, we adopt the mechanism to measure the information quantity of terms. As the proposed methods do not use domain specific information, they can be applied to other domains without extra processes. Experiments showed very promising results with a precision of 82.0% when applied to terms in the MeSH thesaurus.
Large surface radiative forcing from surface-based ice crystal events measured in the High Arctic at Eureka

Large surface radiative forcing from surface-based ice crystal events measured in the High Arctic at Eureka G. Lesins, L. Bourdages, T. J. Duck, J. R. Drummond, E. W. Eloranta, and V. P. Walden Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada Space Science and Engineering Center, University of Wisconsin, Madison, USA Department of Geography, University of Idaho, Moscow, ID, USA Received: 25 July 2008 – Accepted: 28 August 2008 – Published: 29 September 2008 Correspondence to: G. Lesins (glen.lesins@dal.ca) Published by Copernicus Publications on behalf of the European Geosciences Union.
Automated Testability Enhancements for Logic Brick Libraries

Circuit fabrics composed of highly regular structures, called logic bricks, have been described recently for improving yield. An automated logic brick design flow based on a SAT formulation of the brick routing has been developed to minimize wire length and the number of vias while maintaining several design-for-manufacturability constraints. In this work, testability enhancements are imposed into a logic brick to reduce the likelihood of (i) feedback bridges to improve test and (ii) equivalent faults to improve diagnosis. This is accomplished by adding constraints to the SAT formulation of the logic brick routing that restricts certain wires from being routed in close proximity, thus making bridges between them unlikely. Application to several brick designs resulted in critical-area reductions for targeted bridges with little degradation in terms of additional wire length and via count.
An efficient image matching algorithm based on culture evolution

In image matching research, how to ensure that best match’s accuracy of the premise and a significant reduction in the amount of computing is the focus of concern by researchers. Search strategy to find the best match location of the image matching process to determine the amount of computing of image matching, in the existing ima ge matching method are used to traverse search strateg y, it is difficult to reduce the amount of computin g. This is a common defect of the existing image matching algori thm. Cultural Algorithms are a class of computation al models derived from observing the cultural evolution proce ss in nature, compared with genetic algorithm the c ultural algorithms have high convergence speed. In this pa per, compared with genetic algorithm on the Benchma rks function, the results show that the new algorithm i s efficient, we also use the new algorithm to solve image matching problem and the experiment results show the new alg orithm is effective for this problem.
The N Terminus of Bacterial Elongation Factor Tu Elicits Innate Immunity in Arabidopsis Plants

Innate immunity is based on the recognition of pathogen-associated molecular patterns (PAMPs). Here, we show that elongation factor Tu (EF-Tu), the most abundant bacterial protein, acts as a PAMP in Arabidopsis thaliana and other Brassicaceae. EF-Tu is highly conserved in all bacteria and is known to be N-acetylated in Escherichia coli. Arabidopsis plants specifically recognize the N terminus of the protein, and an N-acetylated peptide comprising the first 18 amino acids, termed elf18, is fully active as inducer of defense responses. The shorter peptide, elf12, comprising the acetyl group and the first 12 N-terminal amino acids, is inactive as elicitor but acts as a specific antagonist for EF-Tu–related elicitors. In leaves of Arabidopsis plants, elf18 induces an oxidative burst and biosynthesis of ethylene, and it triggers resistance to subsequent infection with pathogenic bacteria.
A Rhetorical Syntax-Driven Model for Speech Summarization

We show a novel approach of parsing and reordering rhetorical syntax tree for extractive summarization of presentation speech. Our previous work showed (Fung et al., 2008) that rhetorical structures are embedded in this type of speech and that exploring this structure helps improve summarization quality. We further demonstrate that speakers do not follow the strict order of bullet points in the presentation slides, and that a re-ordering of these points occurs. We therefore propose a method of parsing presentation transcriptions into a rhetorical syntax tree and then re-order the leaf nodes to transform the speech transcriptions into an extractive summary akin to a process of presentation slide generation. Chunking, parsing, and reordering are carried out by 28-class Hidden Markov Support Vector Machine(HMSVM) classifier trained from reference presentations and presentation slides. Using ROUGE-L F-measure we showed that our rhetorical syntaxdriven model gives a 35.8% relative improvement over a binary summarizer with no rhetorical information, a 14.3% improvement over Rhetorical State Hidden Markov Model(RSHMM) (Fung et al., 2008), and a 4.3% improvement over our proposed model with no reordering.
Binary sequences with low aperiodic autocorrelation for synchronization purposes

An evolutionary algorithm is used to find three sets of binary sequences of length 49-100 suitable for the synchronization of digital communication systems. Optimization of the sets are done by taking into consideration the type of preamble used in data frames and the phase-lock mechanism of the communication system. The preamble is assumed to be either a pseudonoise (PN) sequence or a sequence of 1s. There may or may not be phase ambiguity in detection. With this categorization, the first set of binary sequences is optimized with respect to aperiodic autocorrelation which corresponds to the random (PN) preamble without phase ambiguity case. The second and third sets are optimized with respect to a modified aperiodic autocorrelation for different figures of merit corresponding to the predetermined preamble (sequence of 1s) with and without phase ambiguity cases.
Privacy Preserving Sequential Pattern Mining in Progressive Databases Using Noisy Data

Research in the area of privacy preserving techniques in databases and subsequently in data mining concepts have witnessed an explosive growth-spurt in recent years. This work investigates the problem of privacy-preserving mining of frequent sequential patterns over progressive databases. We propose a procedure to protect the privacy of data by adding noisy items to each transaction. The experimental results indicate that this method can achieve a rather high level of accuracy. The method is applied on an existing algorithm PISA for frequent pattern mining. This algorithm works on both static and dynamically increasing databases, and thereby takes full advantage of their applicability of the module.
The Homozygote VCPR155H/R155H Mouse Model Exhibits Accelerated Human VCP-Associated Disease Pathology

Valosin containing protein (VCP) mutations are the cause of hereditary inclusion body myopathy, Paget's disease of bone, frontotemporal dementia (IBMPFD). VCP gene mutations have also been linked to 2% of isolated familial amyotrophic lateral sclerosis (ALS). VCP is at the intersection of disrupted ubiquitin proteasome and autophagy pathways, mechanisms responsible for the intracellular protein degradation and abnormal pathology seen in muscle, brain and spinal cord. We have developed the homozygous knock-in VCP mouse (VCPR155H/R155H) model carrying the common R155H mutations, which develops many clinical features typical of the VCP-associated human diseases. Homozygote VCPR155H/R155H mice typically survive less than 21 days, exhibit weakness and myopathic changes on EMG. MicroCT imaging of the bones reveal non-symmetrical radiolucencies of the proximal tibiae and bone, highly suggestive of PDB. The VCPR155H/R155H mice manifest prominent muscle, heart, brain and spinal cord pathology, including striking mitochondrial abnormalities, in addition to disrupted autophagy and ubiquitin pathologies. The VCPR155H/R155H homozygous mouse thus represents an accelerated model of VCP disease and can be utilized to elucidate the intricate molecular mechanisms involved in the pathogenesis of VCP-associated neurodegenerative diseases and for the development of novel therapeutic strategies.
Organic solutes in hyperthermophilic archaea

We examined the accumulation of organic solutes under optimum growth conditions in 12 species of thermophilic and hyperthermophilic Archaea belonging to the Crenarchaeota and Euryarchaeota. Pyrobaculum aerophilum, Thermoproteus tenax, Thermoplasma acidophilum, and members of the order Sulfolobales accumulated trehalose. Pyrococcus furiosus accumulated di-myo-inositol-1,1(prm1)(3,3(prm1))-phosphate and (beta)-mannosylglycerate, Methanothermus fervidus accumulated cyclic-2,3-bisphosphoglycerate and (beta)-mannosylglycerate, while the only solute detected in Pyrodictium occultum was di-myo-inositol-1,1(prm1)(3,3(prm1))-phosphate. Methanopyrus kandleri accumulated large concentrations of cyclic-2,3-bisphosphoglycerate. On the other hand, Archaeoglobus fulgidus accumulated three phosphorylated solutes; prominent among them was a compound identified as di-glycerol-phosphate. This solute increased in concentration as the salinity of the medium and the growth temperature were raised, suggesting that this compound serves as a general stress solute. Di-myo-inositol-1,1(prm1)(3,3(prm1))-phosphate accumulated at supraoptimal temperature only. The relationship between the accumulation of unusual solutes and high temperatures is also discussed.
Policy Options for India’s Edible Oil Complex

Stagnating oilseed yields for the last two decades and an inefficient and underutilised processing sector have resulted in an uncompetitive complex in India. The country’s commitments at the World Trade Organisation have led to increased edible oil imports and a simultaneous decline in area under oilseeds. India needs a long-term edible oil policy to improve competitiveness by bridging the existing technology and yield gaps.
Physical Layer Security and Its Applications: A Survey

This chapter provides a survey of physical layer security and key generation methods. This includes mainly an overview of ongoing research in physical layer security in the present and next generation communication networks. Although higher layer security mechanisms and protocols address wireless security challenges in large extent, more security vulnerabilities arise due to the increasingly pervasive existence of wireless communication devices. In this context, the focus of this chapter is mainly on physical layer security. Some security attacks in general are briefly reviewed. Models of physical layer security, information theoretic works, and key generation methods including quantization and reconciliation are discussed. Some latest developments for enhanced security like Multiple-Input Multiple-Output (MIMO) systems, reconfigurable antennas, and multiple relay systems are also presented. Finally, some existing and emerging application scenarios of physical layer security are discussed.
A search engine for a hypertext encyclopedia

This thesis describes the design and implementation of OKRA, a search engine for the U.S. Forest Service’s Encyclopedia of Southern Appalachian Oak Ecosystems. Chapter One provides background on the encyclopedia itself, and on the WordNet lexical database, which is used to find candidates for additional terms the user can add to his or her query. Chapter Two describes a module for interactively constructing and refining queries in the OKRA system. Chapter Three tells how connection strengths are determined between documents and individual query terms. Chapter Four describes how these connection strengths are combined to estimate the relevance of documents in response to a user’s query, including a novel system for scoring documents releative to Boolean queries. Chapter Five describes the results of tests of the system in actual use.
Financial Intermediation and the Rights Offer Paradox

In this study, we investigate the trading dynamics around rights issues. We employ signed and unsigned trading activity measures in order to provide evidence of costly financial intermediation. We, first, document short selling activity by underwriters and shareholders during rights issues leading to significant negative abnormal returns during the offer. Further, we provide evidence that rights tend to be sold below their fair value. Our results, therefore, suggest that the lack of use of rights offering, referred to as the rights offer paradox can be explained by indirect costs related to the nature of constraints confronting underwriters and shareholders but also to trading mistakes on the rights market.
Collaborative Unknown Target Recognition in Sensor Networks

In the context of target recognition in sensor networks, the requirement of adding intelligence largely corresponds to the capability of recognizing unknown targets, i.e., targets without any a priori information, and of modifying the knowledge base dynamically to incorporate the newly discovered knowledge. In this paper, a collaborative unknown target recognition algorithm is presented. The algorithm involves four enabling components, training set preprocessing, local node classification, collaborative classification based on local results derived from multiple sensors, and dynamic update of the training set when new target classes are discovered. At each local node, the probability of the hypothesis that the target belongs to an unknown target class is calculated using an entropy-based metric. Then Dempster’s rule of combination is applied to combine the estimation results from multiple sensors of the same cluster formed based on geographical closeness and a confidence is derived. If the fused confidence is above a predefined threshold, which means there is not enough knowledge available to decide the target class, it is then considered to be an unknown target. We apply the above unknown target recognition algorithm on a data set collected from a field demo that uses both the acoustic and seismic signals for target classification. The experimental results show that by using our approach, about unknown target samples can be recognized correctly, while at the same time the known target classification accuracy stays above .
A Psychometric Evaluation of the Danish Version of the Theory of Mind Storybook for 8–14 Year-Old Children

Background: Theory-of-Mind (ToM) keeps on developing in late childhood and early adolescence, and the study of ToM development later in childhood had to await the development of sufficiently sensitive tests challenging more mature children. The current study aimed to investigate the psychometric properties of the Danish version of the Theory-of-Mind Storybook Frederik (ToM-Frederik). Methods: We assessed whether ToM-Frederik scores differed between a group of 41 typically developing (TD) children and a group of 33 children with High Functioning Autism Spectrum Disorder (HFASD). A lower mean ToM-Frederik score was expected in the HFASD group. To determine the convergent validity of ToM-Frederik, potential associations with Strange Stories and Animated Triangles (AT) were analyzed. Furthermore, potential associations between ToM-Frederik and the Social Responsiveness Scale (SRS) and between ToM-Frederik and the Social Emotional Evaluation (SEE) Total score were analyzed. Results: A significantly higher ToM-Frederik score was observed in the TD group compared to the HFASD group. Furthermore, the convergent validity of ToM-Frederik as a measure of ToM was supported by significant and positive associations with the Strange Stories and the AT scores in the HFASD group, whereas ToM-Frederik was significantly correlated with Strange Stories, but not with AT in the TD group. ToM-Frederik was not significantly associated with SRS in neither the HFASD nor the TD group. Conclusion: The findings are supportive of ToM-Frederik as a valid indicator of deficits at the group level in children with HFASD between 7 and 14 years of age. Furthermore, the convergent validity is supported.
On the limits of privacy provided by order-preserving encryption

Much of the value of cloud services lies in leveraging client data, which often conflicts with the client's desire to keep that data private. Reconciling these contradictory requirements is an important research and engineering problem, whose efficient solution would have a far-reaching business impact. Generic theoretical approaches, such as fully-homomorphic encryption, are inefficient. Ad hoc approaches, such as order-preserving encryption (OPE), provide solutions to a limited class of problems (e.g., evaluating encrypted range queries). Security achieved in real systems, even if an “ideal OPE” is employed, is hard to evaluate, and is often only illusory, since the ability to order ciphertexts may reveal a lot about the underlying plaintexts. We concentrate on a typical application of OPE, encrypted searchable webmail service. We describe how the use of OPE in this setting may divulge information and discuss approaches to minimize its impact. The main avenue to improve privacy is to appropriately limit the type of interactions that should be allowed with a webmail server. © 2012 Alcatel-Lucent.
The Relationship between Earning, Dividend, Stock Price and Stock Return: Evidence from Iranian Companies

The purpose of this paper is to investigate whether the current period earning divided by stock price at the beginning of the stock market period, current period dividend divided by stock price at the beginning of the stock market period, prior dividend divided by stock price at the beginning of the stock market period and the reverse of stock price at the beginning of the stock market period are relevant to explain stock market returns in Iran. We used cross-section, pooled data and panel data regression models for testing the effects of the above variables on stock returns. The results show that in some years, shareholders pay special attention to dividends and also the variable prior dividend divided by stock price at the beginning of the stock market period affects stock return. Moreover, there is a significant relationship between current period earning divided by stock price at the beginning of the stock market period and stock return. Thus, results theoretically support the existence of relationship between earning, dividend and stock return.