Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive passivity based individual pitch control for wind turbines in the full load region

This paper tackles the problem of power regulation for wind turbines operating in the top region by an adaptive passivity based individual pitch control strategy. An adaptive nonlinear controller that ensures passivity of the mapping aerodynamic torque-regulation error is proposed, where the inclusion of gradient based adaptation laws allows for the on-line compensation of variations in the aerodynamic torque. The closed-loop equilibrium point of the regulation error dynamics is shown to be UGAS (uniformly globally asymptotically stable). Numerical simulations show that the proposed control strategy succeeds in regulating the power output of the wind turbine despite fluctuations of the wind field due to wake and turbulence, without overloading the pitch actuators.
Oct4 induces EMT through LEF1/β-catenin dependent WNT signaling pathway in hepatocellular carcinoma

Octamer 4 (Oct4), a member of the Pit-Oct-Unc transcription factor family required to maintain self-renewal and pluripotency of embryonic stem cells, has been previously identified to be associated with tumorigenesis and malignant transformation of numerous types of cancer including hepatocellular carcinoma (HCC). The present data shows that Oct4 enhances cancer stem cell properties and increases invasion ability in the Huh7 cell line. To increase understanding of the role of Oct4 in HCC, the present study used a functional genomics approach and analyzed the resulting transcriptional profiles to identify Oct4-dependent genes in Huh7. Affymetrix GeneChip Human genome U133 Plus 2.0 Arrays were used to determine differential gene expression profiles and then validated by quantitative polymerase chain reaction. The present study found that altered expression of 673 genes (fold-change ≥2) affected multiple signaling pathways linked with self-renew and metastasis. Among these differentially expressed genes, the present study noticed that the key component of the WNT signaling pathway lymphoid enhancer binding factor 1 (LEF1) and Twist Family BHLH transcription factor 1 were upregulated by Oct4, whilst cadherin 2 was downregulated. Additional studies found that the nuclear β-catenin aggregation was increased in Oct4 overexpressed HCC cell lines. These results suggest that Oct4 regulates LEF1 to active LEF1/β-catenin dependent WNT signaling pathway and promote epithelial-mesenchymal transition. The present findings provide novel mechanistic insight into an important role of Oct4 in HCC.
Developing a New Approach for Arabic Morphological Analysis and Generation

Arabic morphological analysis is one of the essential stages in Arabic Natural Language Processing. In this paper we present an approach for Arabic morphological analysis. This approach is based on Arabic morphological automaton (AMAUT). The proposed technique uses a morphological database realized using XMODEL language. Arabic morphology represents a special type of morphological systems because it is based on the concept of scheme to represent Arabic words. We use this concept to develop the Arabic morphological automata. The proposed approach has development standardization aspect. It can be exploited by NLP applications such as syntactic and semantic analysis, information retrieval, machine translation and orthographical correction. The proposed approach is compared with Xerox Arabic Analyzer and Smrz Arabic Analyzer.
Using hidden markov model for dynamic malware analysis: First impressions

Malware developers are coming up with new techniques to escape malware detection. Furthermore, with the common availability of malware construction kits and metamorphic virus generators, creation of obfuscated malware has become a child's play. This has made the task of anti-malware industry a challenging one, who need to analyze tens of thousands of new malware samples everyday in order to provide defense against the malware threat. The silver lining is that most of the malware generated by such means is different only syntactically, and hence techniques employing dynamic analysis and behavior modeling can be effectively used for classifying malware. In this paper we have proposed a malware classification scheme based on Hidden Markov Models using system calls as observed symbols. Our approach combines the powerful statistical pattern analysis capability of Hidden Markov Models with the proven capacity of system calls as discriminating dynamic features for countering malware obfuscation. Testing the proposed technique on system call logs of real malware shows that it has the potential of effectively classifying unknown malware into known classes.
Unidimensional Versus Multidimensional Perspectives on Father Involvement

The purpose of this study was to evaluate and compare the utility of unidimensional and multidimensional models of the construct of father involvement and to provide measurement advice for researchers. Participants were 1,139 two-parent families from the 1997 Child Development Supplement of the Panel Study of Income Dynamics (PSID-CDS). Results from Structural Equation Modeling procedures supported the conceptualization of paternal involvement as a multidimensional construct, consisting of distinct domains of involvement. In particular, paternal cognitive monitoring was not related to the other aspects of involvement included in the model. Findings are discussed in terms of implications for further development and use of measures of father involvement and for further study of paternal involvement using the PSID-CDS data set.
Marketing for participation: How can Electronic Dissertation Services win authors?

Technical progress in electronic publishing affords increasingly sophisticated archiving and retrieval options for authors as well as readers of ETD and other university document publishing services. The ”marketing” of these services has received less attention, despite its great importance for success. In particular, an ETD service must market to its potential authors their work is what constitutes the service's content. Providing such content may require additional time and effort: The creation of an adequate electronic document involves the intellectual and technical (re-)structuring and markup of a text. What forms of information policy and author support are needed to meet these new challenges for authors? This paper describes a large-scale, questionnaire-based study of the marketing strategies of the Document and Publication Server of Humboldt University Berlin (http://edoc.hu-berlin.de). This service emphasises long-term archiving and structured retrieval, which requires authors to prepare their texts for conversion into the relatively complex, SGML-based format DiML (Dissertation Markup Language). In this study, the experiences, assessments, plans, and wishes of two central target groups of authors were investigated: people working on their doctoral and ”Habilitation” dissertations. The results show that a large percentage of authors do not know the service, and if they do, start using it very late. The paper concludes with recommendations for improving the information flow between ETD service and authors.
SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality

Many image and video quality assessment (I/VQA) models rely on data transformations of image/video frames, which increases their programming and computational complexity. By comparison, some of the most popular I/VQA models deploy simple spatial bandpass operations at a couple of scales, making them attractive for efficient implementation. Here we design reduced-reference image and video quality models of this type that are derived from the high-performance reduced reference entropic differencing (RRED) I/VQA models. A new family of I/VQA models, which we call the spatial efficient entropic differencing for quality assessment (SpEED-QA) model, relies on local spatial operations on image frames and frame differences to compute perceptually relevant image/video quality features in an efficient way. Software for SpEED-QA is available at: http://live.ece. utexas.edu/research/Quality/SpEED_Demo. zip.
Endometriosis and breast cancer: A survey of the epidemiological studies

Endometriosis is a chronic gynecological disease with a wide spectrum of clinical manifestations that affects approximately 10% of women of reproductive age. Recent reviews have demonstrated the connection between endometriosis and breast cancer, which represents the most frequently diagnosed female cancer and the most common cause of cancer-related mortality among women worldwide. The aim of this study was to conduct a survey of available published epidemiological studies indicating the association between endometriosis and breast cancer, and simultaneously to categorize the results based on the strength of the association, with the intention of the critical evaluation of the existing data. We performed a rigorous search of the PubMed/Medline database, using the key words ‘endometriosis’ and ‘breast cancer’ for all studies published in the English language until September 2015. We found 4 retrospective cohort studies, 4 case-control studies and 3 case-cohort studies that demonstrated a notable risk for developing breast cancer among women with endometriosis. By contrast, we also found 5 case-control studies, 1 prospective cohort study, 1 case-cohort study and 1 cross-sectional study that demonstrated a negative association between endometriosis and breast cancer. In conclusion, as regards the clarification of a ‘robust’ or ‘weak’ association between endometriosis and breast cancer, no definite conclusions could be drawn, due to the limited number of studies and the limitations of each of these studies. New well-designed, prospective cohort or randomized control trials with long-term follow-up are warranted in order to provide evidence-based clinical recommendations for proper counseling, screening and treatment strategies for patients with endometriosis, and hence to improve public health.
Circumvention of Chaperone Requirement for Aggregate Formation of a Short Polyglutamine Tract by the Co-expression of a Long Polyglutamine Tract*

Polyglutamine disease is now recognized as one of the conformational, amyloid-related diseases. In this disease, polyglutamine expansion in proteins has toxic effects on cells and also results in the formation of aggregates. Polyglutamine aggregate formation is accompanied by conversion of the polyglutamine from a soluble to an insoluble form. In yeast, the efficiency of the aggregate formation is determined by the balance of various parameters, including the length of the polyglutamine tract, the function of Hsp104, and the level of polyglutamine expression. In this study, we found that the co-expression of a long polyglutamine tract, which formed aggregates independently of the function of Hsp104, enhanced the formation of aggregates of a short polyglutamine tract in wild-type cells as well as in Δhsp104 mutant cells. Thus, the expression of a long polyglutamine tract would be an additional parameter determining the efficiency of aggregate formation of a short polyglutamine tract. The co-localization of aggregates of long and short polyglutamine tracts suggests the possibility that the enhancement occurs due to the seeding of aggregates of the long polyglutamine tracts.
Communication Strategies for Brand Extensions: Enhancing Perceived Fit by Establishing Explanatory Links

Abstract This research examines the proposition that high perceived fit of a brand extension results when consumers can establish explanatory links that connect the parent brand and the extension. Explanatory links are created when salient parent brand associations are seen as relevant in the extension context. The salience and relevance of associations depends, in part, upon the dominant parent brand associations, the brand-to-extension relationship, and the communication strategy used to introduce the extension. Results indicated that extensions were poorly rated when the parent brand's dominant association was inconsistent with the extension's dominant association. Specifically, brands with dominant attribute-based associations (e.g., physical features) received lower evaluations than brands with dominant non-attribute-based associations (e.g., brand users) when extended to a category with no physical attributes in common. In this case, evaluations were improved with an elaborational communication strategy that provided information about worrisome extension attributes. On the other hand, brands with dominant non-attribute-based associations received lower evaluations than brands with dominant attribute-based associations when extended to a category with physical attributes in common. In this case, extension evaluations were improved with a relational communication strategy that raised the salience of the physical relationship between the categories.
AUGMENTATION STRATEGIES IN SELECTIVE SEROTONIN REUPTAKE INHIBITORS RESISTANT OBSESSIVE-COMPULSIVE DISORDER-A SYSTEMATIC LITERATURE REVIEW

The efficacy of selective serotonin reuptake inhibitors (SSRIs) in the treatment of obsessivecompulsive disorder (OCD) has some important limitations, as almost half of these patients are nonresponders. Therefore, an increasing number of pharmacological augmentation strategies have been developed in order to cope with SSRIs non-responders: increasing dosages to the maximum tolerated level, antidepressants switch, augmentation with pharmacologic agents or psychotherapy, alternative ways of treatment administration etc. In this systematic review we evaluated studies which focused upon the efficacy of the pharmacologic augmentation strategies in SSRIs resistant cases of OCD. Atypical and typical antipsychotics, antidepressants and other agents such as beta-blockers, psychostimulants or omega 3 fatty acids were detected in clinical studies and included in our review. The most supported strategies are typical antipsychotics (especially haloperidol), atypical antipsychotics (mainly risperidone), antidepressants like clomipramine or trazodone and the beta-blocker pindolol. More research is needed in order to evaluate the efficacy of other pharmacologic agents, such as newer antipsychotics and antidepressants, mood-stabilizers and various serotoninergic agents.
Anticancer Potential of Aqueous Ethanol Seed Extract of Ziziphus mauritiana against Cancer Cell Lines and Ehrlich Ascites Carcinoma

Ziziphus mauritiana (Lamk.) is a fruit tree that has folkloric implications against many ailments and diseases. In the present study, anticancer potential of seed extract of Ziziphus mauritiana in vitro against different cell lines (HL-60, Molt-4, HeLa, and normal cell line HGF) by MTT assay as well as in vivo against Ehrich ascites carcinoma bearing Swiss albino mice was investigated. The extract was found to markedly inhibit the proliferation of HL-60 cells. Annexin and PI binding of treated HL-60 cells indicated apoptosis induction by extract in a dose-dependent manner. The cell cycle analysis revealed a prominent increase in sub Go population at concentration of 20 μg/ml and above. Agarose gel electrophoresis confirmed DNA fragmentation in HL-60 cells after 3 h incubation with extract. The extract also exhibited potent anticancer potential in vivo. Treatment of Ehrlich ascites carcinoma bearing Swiss albino mice with varied doses (100–800 mg/kg b.wt.) of plant extract significantly reduced tumor volume and viable tumor cell count and improved haemoglobin content, RBC count, mean survival time, tumor inhibition, and percentage life span. The enhanced antioxidant status in extract-treated animals was evident from decline in levels of lipid peroxidation and increased levels of glutathione, catalase, and superoxide dismutase.
Non negative Matrix Factorization and Its Application in Medical Signal and Image Processing

Non-negative Matrix Factorization (NMF) is a method to obtain a representation of data using non-negativity constraints. These constraints lead to a part-based representation in the vector space because they allow only additive, not subtractive, combinations of original data. This is how NMF learns a part- based representation. This paper introduces briefly the theory and algorithm of NMF. Then a NMF ANN framework is presented to classify spontaneous EEG in five metal tasks. Several comparisons and experiments were carried out. The results showed that NMF lead more localized and sparse features than power spectrum method and principal component analysis method did, and that the NMF-ANN structure preserved the spatio-temporal characteristics of EEG signals. Its best cognition rate of five mental task pairs can achieves better than 88.0%. It may be a promising classifier for Brain Computer Interface (BCI) scheme.
Argument Kinds and Argument Roles in the Ontario Provincial Election

This paper is a report of a pilot study of how candidates argue when they are running for political office. The election studied was the provincial election in Ontario, Canada, in the fall of 2011. Having collected about 250 arguments given during the election from newspaper media, we sought answers to the following questions, among others: (i) which argumentation schemes have the greatest currency in political elections? (ii) Is a list of the best known argumentation schemes sufficient to classify the arguments given in elections? (iii) What schemes should be added to the familiar list to make it more adequate for studying elections? (iv) Is it useful to classify arguments as being used for positive, policy-critical, person-critical and defensive purposes? (v) Can political parties be usefully characterized by noting their preferred kinds of arguments and their most frequent uses of arguments? (vi) What lessons can be learned from this study to better design future studies of the same kind?
The Effectiveness of Emotional Intelligence Training Program on Social and Academic Adjustment among First Year University Students

The purpose of the study was to examining the effect of emotional intelligence training in raising the level of social and academic adjustment. The study was a quasi-experimental pre-post design involves two groups of first year university students from two universities in north Jordan (289). The experimental group was exposed to ten days on an hour to an hour and half sessions of emotional intelligence training, while the control group was only given pre-post questionnaires. ANCOVA analysis results among the groups showed that the training program was effective in significantly raising the level of emotional intelligence, but the improvements of social and academic adjustment were not significant. Overall, female and elder students showed better scores of all dependent variables than their younger counterparts, but the results were not significant for social and academic adjustment. It was recommended that emotional intelligence training should be used as adjunct strategy to improve student social and academic adjustment among adolescents and adult students.
Who's joining the club? Participation of socially vulnerable children and adolescents in club-organised sports

Sport is often considered as a promising instrument for reaching a wide array of policy objectives. Social inclusion is one of the goals frequently mentioned. Though one can argue about the feasibility of the many claims made, sport can only reasonably be expected to play a role if the targeted population is effectively taking part in sports. This is what is investigated in this study. The focus lies on the sports participation of children (primary school) and adolescents (secondary school), more particularly in a club-organised setting. The purpose of this study is to investigate whether family related factors associated with a higher risk for social exclusion can be considered as determinants of club sport participation among children and adolescents. Data are based on a large-scale cross-sectional survey (2009), collected in 39 schools in Flanders (Belgium), with a total of 3005 children and adolescents (aged 6–18) participating in the research. A multilevel logistic regression has been conducted, controlling also for differences between schools. Income poverty and parental education come forward as important determinants for club-organised sports participation. No evidence was found that living in a single parent-household affects the likelihood of club-organised sports participation. While sport is often considered as an important instrument for social inclusion, the study shows that children and adolescents who are likely to occupy a more vulnerable position in society as a whole, have higher odds to be left out with regard to sport club participation as well.
Modelling Mobility with UML2.0 and PEPA Nets

We show how UML2.0 together with PEPA nets can be used to model dynamic aspects of mobile applications. UML2.0 provides a new form of high-level description of interactions called interaction overview diagram. The combination of interaction overview diagrams and sequence diagrams is naturally translated into PEPA nets, a performance modelling language. In this way, the designers using UML can analyse their models formally using available tools for PEPA nets
Detection of drowsiness based on HOG features and SVM classifiers

This paper presents an accurate method of drowsiness detection for the images obtained using low resolution consumer grade web cameras under normal lighting conditions. The drowsiness detection method uses Haar based cascade classifier for eye tracking and combination of Histogram of oriented gradient (HOG) features combined with Support Vector Machine (SVM) classifier for blink detection. Once the eye blinks are detected then the PERCLOS is calculated from it. If the PERCLOS value is greater than 6 seconds then the person is said to be drowsy. The presented system was validated by comparing the prediction of the system with that of a human rater. The system matched with the human observer with 91.6 % accuracy.
Interaction between an Island and the Ventilated Thermocline: Implications for the Hawaiian Lee Countercurrent

Abstract The ventilated thermocline theory is adapted to include the interaction between an island and the wind-driven subtropical circulation. The primary goal is an understanding of the effect of this interaction on the Hawaiian Lee Countercurrent (HLCC), an eastward current crossing the Pacific west of Hawaii in the latitude band 18°–21°N. A two-and-one-half-layer model is used, with the model island located in midgyre and equatorward of the gyre center, simulating the Hawaiian Islands. The presence of the island creates two wakes. A transport wake directly west of the island is characterized by an alteration of the zonal transport caused by the diversion of the interior flow incident upon the east coast of the island into zonal jets extending westward from the northern and southern tips of the island. A potential vorticity (pv) wake embedded in the second-layer streamlines westward and equatorward of the island is characterized by an alteration of the ventilated pv signature and of the baroclinic natu.
Police crime recording and investigation systems – A user’s view

This paper provides an overview of the role computer software plays within police forces with particular attention paid to crime analysis and investigation computer systems. A distinction is made between major crime (e.g. murder, violent assault, rape, etc.) and volume crime (e.g. domestic burglary, shoplifting, etc.). Illustrative systems that are in practical use for tackling both major and volume crime are described. Particular attention is paid to the attempts that have been made to apply artificial intelligence techniques to tackling the volume crime of burglary. A topic of current research is the use of data mining techniques for automatically detecting patterns in reported crimes. The paper concludes by looking at the problems and benefits such systems may bring.