Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive vector control for slip energy recovery in doubly-fed wind driven induction generator

Induction generators are increasingly used in wind power generation systems especially for grid connected applications, since the terminal voltage and frequency controls are not required and the reactive power demand can be met by the grid. Wound-rotor induction generators have the advantage of operating as a variable-speed constant-frequency system to maintain maximum power transfer conditions for shaft speed variations over a wide range of wind speed and, hence, to maximize the annual energy production. This can be achieved by the use of a converter cascade between the slip-ring terminals and the utility grid to control the power flow from/to the rotor. In this paper, a simple yet efficient way by which the controller can change its behavior is proposed. The absolute value of the error signal is used to divide the error space into three regions. Each region has its parameters to achieve certain desired dynamic response. It can be shown that by using the proposed adaptive controller, a more accurate control and quicker transient response under various operating conditions is achieved
Recognising Agent Behaviour During Variable Length Activities

In this paper we present a new method for obtaining situation awareness via the automatic recognition of agent behaviours. In contrast to many other approaches, the presented method models different behaviour durations without using a fixed classification window, and does not require a distribution of behaviour durations. We introduce the Variable Window Layered Hidden Markov Model (VW-LHMM) as an extension of the LHMM to specifically address behaviours with irregular duration. We validate our approach by simulating three high-level behaviours within the harbour and coastline security domain. We compare performance against the LHMM and show that our approach provides a 10% improvement in classification accuracy, in addition to earlier classification.
Testing the Biobehavioral Family Model in Understanding the Eating Problems of Adolescent Girls

Purpose: This study was done to test a hypothesized model, the Biobehavioral Family Model (BBFM), on the relationship of family emotional climate, security of parent-child relationship, depression symptoms and eating problems in adolescent girls, to further understanding of eating problems in this population. Methods: With a convenience sample of 647 girls, aged 15 to 18, a self-report survey was conducted which included the Korean form of the Eating Attitude Test (EAT-26) to assess eating problems. Results: The estimated results of the structural equation modeling indicated a good fit of data to the hypothesized model proposing that family emotional climate and security of parent-child relationship were associated with the risk of eating problems by way of depression symptoms. That is, negative family emotional climate and insecure parent-child relationship increased the risk of eating problems indirectly by way of depression symptoms. Conclusion: The findings are consistent with the BBFM, which suggests a psychobiologic influence of specific family processes on children’s stress-sensitive physical disease activity by way of depression symptoms. Therefore, the applicability of the BBFM for understanding adolescent girls’ eating problems is supported. The psychobiologic pathways from depression to eating pathology should be addressed in future studies.
Reliability-Based Joint Detection-Decoding Algorithm for Nonbinary LDPC-Coded Modulation Systems

This paper studies an extension and improvement of the joint detection-decoding algorithm for nonbinary LDPC-coded modulation systems. The iterative joint detection-decoding (IJDD) algorithm in [1] combines nonbinary LDPC decoding with signal detection based on the hard-message passing strategy, resulting in significantly reduced decoding complexity. However, it applies only to majority-logic decodable nonbinary LDPC codes with high column weight. For nonbinary LDPC codes with low column weight, a noticeable performance loss will be incurred. To handle this problem, we propose a reliability-based iterative joint detection-decoding (also termed improved IJDD) algorithm, which combines the accumulated reliability of symbols based on the one-step majority-logic decoding (MLGD) algorithm and a Chase-like local list decoding algorithm. Simulation results show that the improved IJDD algorithm outperforms the IJDD algorithm by about 0.3 dB using nonbinary LDPC codes with high column weight, and by about 3 dB using nonbinary LDPC codes with low column weight (dv = 4), while maintaining the low complexity of decoding. Compared to the FFT-QSPA, the proposed algorithm has a performance degradation of 0.5 dB in the high column weight regime, and about 1 dB in the low column weight regime.
Aspectual source code analysis with GASR

To be able to modularize crosscutting concerns, aspects introduce new programming language features, often in a new language, with a specific syntax. These new features lead to new needs for source code analysis tools, resulting in the requirement for a general-purpose aspectual source code analysis tool. Ignoring this requirement has led to a nontrivial duplication of effort in the aspect-oriented software development community. This is because all code analysis efforts that we are aware of have either built ad-hoc analysis tools or were performed manually. In this paper we present Gasr: a source code analysis tool in the tradition of logic program querying that reasons over AspectJ source code. By hooking into the IDE plugins for AspectJ, Gasr provides a library of predicates that can be used to query aspectual source code. We demonstrate the use of Gasr by automating the recognition of a number of previously identified aspectual source code assumptions. We then detect assumption instances on two well-known case studies that were manually investigated in the earlier work. In addition to finding the already known aspect assumptions, Gasr encounters assumption instances that were overlooked before.
Autonomous and interdependent development of two language systems in Japanese/English simultaneous bilinguals: Evidence from question formation

The recent finding that two languages develop autonomously in young simultaneous bilinguals has been challenged by several researchers. The current study attempts to show that both independence and interdependence are involved in early bilingual development. Longitudinal analysis of the acquisition of question formation was conducted in two Japanese/English bilingual children. The results indicate that the development of the two grammars is basically autonomous, but cross-language effects are also present, although not in both children. It is suggested that cross-linguistic cue competition best captures the transfer process, and that linguistic environment for each child may be the source of individual differences in the use of cross-linguistic structures. Implications of the current results for language acquisition theories are discussed.
Self-Images of Women Bodybuilders

In analyzing the data from a questionnaire survey of 205 competitive women bodybuilders conducted by the International Federation of Body-Builders, the authors attempt to find out how these women define their roles. What emerges from the analysis is a new concept of femininity that combines aspects of the traditional definitions with added dimensions of muscularity and body symmetry. They see muscularity, fitness, strength, and health as increasing their femininity, adding to their attractiveness as women, and increasing their sex appeal to men. They do not see themselves as emulating men. Relatively few see themselves as feminists or androgynists.
Enhancing query expansion for semantic retrieval of spoken content with automatically discovered acoustic patterns

Query expansion techniques were originally developed for text information retrieval in order to retrieve the documents not containing the query terms but semantically related to the query. This is achieved by assuming the terms frequently occurring in the top-ranked documents in the first-pass retrieval results to be query-related and using them to expand the query to do the second-pass retrieval. However, when this approach was used for spoken content retrieval, the inevitable recognition errors and the OOV problems in ASR make it difficult for many query-related terms to be included in the expanded query, and much of the information carried by the speech signal is lost during recognition and not recoverable. In this paper, we propose to use a second ASR engine based on acoustic patterns automatically discovered from the spoken archive used for retrieval. These acoustic patterns are discovered directly based on the signal characteristics, and therefore can compensate for the information lost during recognition to a good extent. When a text query is entered, the system generates the first-pass retrieval results based on the transcriptions of the spoken segments obtained via the conventional ASR. The acoustic patterns frequently occurring in the spoken segments ranked on top of the first-pass results are considered as query-related, and the spoken segments containing these query-related acoustic patterns are retrieved. In this way, even though some query-related terms are OOV or incorrectly recognized, the segments including these terms can still be retrieved by acoustic patterns corresponding to these terms. Preliminary experiments performed on Mandarin broadcast news offered very encouraging results.
Internet-Based Telehealth System for the Treatment of Agoraphobia

In this work that is being validated within the VEPSY project, we present a system that allows the patient to continue a psychological virtual reality treatment from his or her home PC as complementary therapy. In the consulting room, we have been using virtual therapy for panic disorder and agoraphobia treatment to expose the patient to several situations. For the complementary therapy, a structured treatment via the Internet has been prepared, which consists of several parts: an assessment protocol; a structured treatment protocol organized in several blocks (such as psychoeducation and exposure); and an outcome protocol. The same situations as in the consulting room have been selected for the exposure, but each of them has been divided into several virtual environments with specific characteristics that limit its difficulty level. The stimuli that are used at each level are controlled automatically by the system. The information of the patient is stored in a database, which is placed in a remote server using XML format and used to control which stages of the treatment he or she can access. The psychologist can limit the evolution of the patient. The virtual environments are installed in the patient's PC, and they are implemented with a mechanism that ensures that they can only be run when the patient connects to the web. The user should not have any special virtual reality hardware at home, so head rotations have been simulated with the navigation system.
Effects of motor intention on the perception of somatosensory events: A behavioural and functional magnetic resonance imaging study

The intention to execute a movement can modulate our perception of sensory events, and this modulation is observed ahead of both ocular and upper limb movements. However, theoretical accounts of these effects, and also the empirical data, are often contradictory. Accounts of “active touch”, and the premotor theory of attention, have emphasized how movement intention leads to enhanced perceptual processing at the target of a movement, or on the to-be-moved effector. By contrast, recent theories of motor control emphasize how internal “forward” model (FM) estimates may be used to cancel or attenuate sensory signals that arise as a result of self-generated movements. We used behavioural and functional brain imaging (functional magnetic resonance imaging, fMRI) to investigate how perception of a somatosensory stimulus differed according to whether it was delivered to a hand that was about to execute a reaching movement or the alternative, nonmoving, hand. The results of our study demonstrate that a somatosensory stimulus delivered to a hand that is being prepared for movement is perceived to have occurred later than when that same stimulus is delivered to a nonmoving hand. This result indicates that it takes longer for a tactile stimulus to be detected when it is delivered to a moving limb and may correspond to a change in perceptual threshold. Our behavioural results are paralleled by the results of our fMRI study that demonstrated that there were significantly reduced blood-oxygen-level-dependent (BOLD) responses within the parietal operculum and insula following somatosensory stimulation of the hand being prepared for movement, compared to when an identical stimulus was delivered to a nonmoving hand. These findings are consistent with the prediction of FM accounts of motor control that postulate that central sensory suppression of somatosensation accompanies self-generated limb movements, and with previous reports indicating that effects of sensory suppression are observed in higher order somatosensory regions.
Bioinformatics Original Paper Predicting the Insurgence of Human Genetic Diseases Associated to Single Point Protein Mutations with Support Vector Machines and Evolutionary Information

Motivation: Human single nucleotide polymorphisms (SNPs) are the most frequent type of genetic variation in human population. One of the most important goals of SNP projects is to understand which human genotype variations are related to Mendelian and complex diseases. Great interest is focused on non-synonymous coding SNPs (nsSNPs) that are responsible of protein single point mutation. nsSNPs can be neutral or disease associated. It is known that the mutation of only one residue in a protein sequence can be related to a number of pathological conditions of dramatic social impact such as Altzheimer's, Parkinson's and Creutzfeldt-Jakob's diseases. The quality and completeness of presently available SNPs databases allows the application of machine learning techniques to predict the insurgence of human diseases due to single point protein mutation starting from the protein sequence. Results: In this paper, we develop a method based on support vector machines (SVMs) that starting from the protein sequence information can predict whether a new phenotype derived from a nsSNP can be related to a genetic disease in humans. Using a dataset of 21185 single point mutations , 61% of which are disease-related, out of 3587 proteins, we show that our predictor can reach more than 74% accuracy in the specific task of predicting whether a single point mutation can be disease related or not. Our method, although based on less information, outperforms other web-available predictors implementing different approaches.
Cloning and Comparative Studies of Seaweed Trehalose-6-Phosphate Synthase Genes

The full-length cDNA sequence (3219 base pairs) of the trehalose-6-phosphate synthase gene of Porphyra yezoensis (PyTPS) was isolated by RACE-PCR and deposited in GenBank (NCBI) with the accession number AY729671. PyTPS encodes a protein of 908 amino acids before a stop codon, and has a calculated molecular mass of 101,591 Daltons. The PyTPS protein consists of a TPS domain in the N-terminus and a putative TPP domain at the C-terminus. Homology alignment for PyTPS and the TPS proteins from bacteria, yeast and higher plants indicated that the most closely related sequences to PyTPS were those from higher plants (OsTPS and AtTPS5), whereas the most distant sequence to PyTPS was from bacteria (EcOtsAB). Based on the identified sequence of the PyTPS gene, PCR primers were designed and used to amplify the TPS genes from nine other seaweed species. Sequences of the nine obtained TPS genes were deposited in GenBank (NCBI). All 10 TPS genes encoded peptides of 908 amino acids and the sequences were highly conserved both in nucleotide composition (>94%) and in amino acid composition (>96%). Unlike the TPS genes from some other plants, there was no intron in any of the 10 isolated seaweed TPS genes.
New Helical Binding Domain Mediates a Glycosyltransferase Activity of a Bifunctional Protein*

Serine-rich repeat glycoproteins (SRRPs) conserved in streptococci and staphylococci are important for bacterial colonization and pathogenesis. Fap1, a well studied SRRP is a major surface constituent of Streptococcus parasanguinis and is required for bacterial adhesion and biofilm formation. Biogenesis of Fap1 is a multistep process that involves both glycosylation and secretion. A series of glycosyltransferases catalyze sequential glycosylation of Fap1. We have identified a unique hybrid protein dGT1 (dual glycosyltransferase 1) that contains two distinct domains. N-terminal DUF1792 is a novel GT-D-type glycosyltransferase, transferring Glc residues to Glc-GlcNAc-modified Fap1. C-terminal dGT1 (CgT) is predicted to possess a typical GT-A-type glycosyltransferase, however, the activity remains unknown. In this study, we determine that CgT is a distinct glycosyltransferase, transferring GlcNAc residues to Glc-Glc-GlcNAc-modified Fap1. A 2.4-Å x-ray crystal structure reveals that CgT has a unique binding domain consisting of three α helices in addition to a typical GT-A-type glycosyltransferase domain. The helical domain is crucial for the oligomerization of CgT. Structural and biochemical studies revealed that the helix domain is required for the protein-protein interaction and crucial for the glycosyltransferase activity of CgT in vitro and in vivo. As the helix domain presents a novel structural fold, we conclude that CgT represents a new member of GT-A-type glycosyltransferases.
Clinical, biochemical & cytomorphologic study on Hashimoto's thyroiditis

Background & objectives: Despite, the extensive salt iodization programmes implemented in India, the prevalence of goiter has not reduced much in our country. The most frequent cause of hypothyroidism and goiter in iodine sufficient areas is Hashimoto's thyroiditis (HT). This study records the clinical presentation, biochemical status, ultrasonographic picture and cytological appearance of this disease in a coastal endemic zone for goiter. Methods: Case records of patients with cytological diagnosis of HT were studied in detail, with reference to their symptoms, presence of goiter, thyroid function status, antibody levels and ultrasound picture. Detailed cytological study was conducted in selected patients. Results: A total of 144 patients with cytological proven HT/lymphocytic thyroiditis were studied. Ninety per cent of the patients were females and most of them presented within five years of onset of symptoms. Sixty eight per cent patients had diffuse goiter, 69 per cent were clinically euthyroid and 46 per cent were biochemically mildly hypothyroid. Antibody levels were elevated in 92.3 per cent cases. In majority of patients the sonographic picture showed heterogeneous echotexture with increased vascularity. Cytological changes were characteristic. Interpretation & conclusions: Our study showed predominance of females in the study population in 21-40 yr age group with diffuse goiter. We suggest that in an endemic zone for goiter, all women of the child bearing age should be screened for HT.
Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms

Motion planning, which is the problem of computing feasible paths in an environment for a movable object, has applications in many domains ranging from robotics, to intelligent CAD, to protein folding. The best methods for solving this PSPACE-hard problem are so-called sampling-based planners. Recent work introduced uniform spatial subdivision techniques for parallelizing sampling-based motion planning algorithms that scaled well. However, such methods are prone to load imbalance, as planning time depends on region characteristics and, for most problems, the heterogeneity of the sub problems increases as the number of processors increases. In this work, we introduce two techniques to address load imbalance in the parallelization of sampling-based motion planning algorithms: an adaptive work stealing approach and bulk-synchronous redistribution. We show that applying these techniques to representatives of the two major classes of parallel sampling-based motion planning algorithms, probabilistic roadmaps and rapidly-exploring random trees, results in a more scalable and load-balanced computation on more than 3,000 cores.
Infant development in two cultural contexts: Cameroonian Nso farmer and German middle‐class infants

Objective and Background: Cultures differ in their emphases on specific developmental milestones which may be associated with early developmental differences. This study compares the developmental states of three‐ and six‐month‐old Cameroonian Nso farmer and German middle‐class infants assessed with the Bayley Scales of Infant Development. Methods: The Bayley Scales were used with 345 three‐month‐old infants in Cameroon (n = 73) and Germany (n = 272). Most of the infants were reassessed at six months of age (n = 72 of the Cameroonian and n = 222 of the German infants). Results: The study showed significant differences in gross motor development in favour of the Cameroonian children and in receptive as well as expressive communication in favour of the German infants. These findings are consistent throughout both age samples. The cognitive and fine motor development is significantly advanced in the three‐month‐old German infants, but not at six months of age. Conclusion: The results are interpreted to reflect different socialisation strategies as a result of different cultural orientations of Cameroonian Nso and German middle‐class mothers and it is important to assess developmental pathways in multiple cultural environments, in order to gain an understanding of the encompassing conceptions of development.
Toward a New Model of the Petri Nets: Agent Petri Nets

This paper belongs to the domain of the engineering of the Petri Net (PN) and Multi agent Systems (MAS). It aims to defining a new formalism for the modeling of MAS. This formalism is based on agents called Agent Petri Nets (APN). That's why, the definitions that manipulate the internal state of the agent and its behavior are proposed. Indeed, the other formalisms are no more capable of modeling the systems of large size and the interaction between the entities that compose them. The proposed mathematical definitions help us in modeling rigorously and without ambiguity the interactive systems. So, the proposed model describes in a quite natural way the MAS. To validate our approach, we will deal with simple examples.
Charged particle distributions and heat transfer in a discharge between geometrically dissimilar electrodes: From breakdown to steady state

The low-current electric discharge from a fine wire anode to a planar cathode in atmospheric pressure air is numerically simulated from high-voltage prebreakdown through electron temperature growth, then ionization and consequent current growth to steady state, limited by a ballast resistor in the external circuit. Conservation of number (mass) for ions and electrons, Gauss’ law for the self-consistent electric field, and energy conservation for electrons have been solved from breakdown to steady state in a body fitted coordinate system generated specifically for these two geometrically dissimilar electrodes. To facilitate the discussion of the results, the discharge has been categorized under (a) electron acceleration period, (b) charged particle generation period, (c) current increase and voltage drop period, and (d) current and voltage stabilization period. Results are given for transient electron, ion, and temperature distributions in the gap as well as current growth and voltage drop across the gap.