Miracle-dz/UniFAR-FTUs huggingface dataset:
Neuromuscular Multifunctional Hand Control (summary of Research and Development Done in Robotics Laboratory) Emg Database and Program Support

A database of raw EMG signals was collected from four subjects. The subjects were instructed to repeat the following six grasps types: lateral, precision (one opposition), cylindrical with small aperture, cylindrical with large aperture, spherical with small aperture and spherical with large aperture. The motions were performed by grasping appropriate objects: a key, a pill, two sizes of cylinders and two sizes of balls. The surface EMG signals were recorded from four differential electrode sets located over extensor muscles on the upper forearm using the Muscle Tester ME 3000 by Mega Electronics, Ltd. The system has battery-powered preamplifiers located next to the electrodes. This has largely eliminated noise and motion artifacts. The EMG database contained several series of ten grasps for each grasp type, for each subject. In order to analyze the data, the following LabVIEW programs were developed: VIEW-Program for graphical presentation and extraction of multichannel EMG data. TIMES-Program for analysis of EMG bursts and other temporal characteristics. FIR-Program for analysis of raw EMG signals (nonlinear preprocessing, linear processing with a choice of FIR filters for windowing, and graphical presentation) TFE-Program for temporal feature extraction (beginning of activity time, maximal initial burst time, maximal initial burst amplitude after nonlinear preprocessing, and moving average) CLUSTER-Program for visual presentation of feature clusters and visual evaluation of the discrimination level (employed nonlinear transformation of features, principal component analysis (PCA) and Fisher-Rao transformations, enveloping of clusters with confident ellipsoids, t-statistics, grouping and removal of classes, etc.) CLASS-Program for training and testing of feature sets (based on statistical classification with Mahalanobis distance) Feature extraction We have experimented with several approaches for feature extraction. These include: 1. Temporal features [Hudgins 93]: mean absolute value, zero crossings, slope sign changes, waveform length. 2. Enveloping parameters [Hou 96]: EMG bursts were caged into two types of envelopes, the bell-shaped function)) (exp(2 2 τ σ − − − t A , and cosine function) cos(φ ω + t A. The parameters A, σ and τ, and alternatively A, ω and φ, were used as features. We also experimented with prediction of these parameters based on incomplete bursts. In other words, the parameters were estimated from EMG samples before the burst has attained its maximal value, which is in the 200 to 300 ms range. 3. Simple square-integral features (dt t s T ta ta ∫ +) (, dt t s T ta ta 2) (∫ + , where …
A CP-ABE scheme with system attributes revocation in cloud storage

Attribute Based Encryption (CP-ABE) access control schemes has become a heated topic area in security since it is more suitable for access control mechanism. Due to the problems such that system attribute revocation is not flexible, system overhead is too big and other issues for existing CP-ABE access control schemes under cloud environment, with the limited access condition of `AND' and `OR' in an access tree, based on AB-ACER schemes, we proposed a CP-ABE scheme with system attribute revocation in Cloud storage. This scheme is based on many minimum attribute sets which shared Re-encryption keys, storage service provider re-encrypts ciphertext when a system attribute is revoked. This scheme is not only keeps security and fine-grained access control of original scheme, but also has a good flexibility and efficiency.
A Robust Attitude Controller and its Application to Quadrotor Helicopters

Abstract In this paper, a novel nonlinear hierarchical controller for attitude control is proposed. This controller is obtained using Lyapunov methodology. Model uncertainties in the system are estimated on-line based on a time-delay control approach. The robustness of the flight controller is enhanced using an anti-windup integrator technique and semi-global asymptotical stability is proven. The control law obtained is simple enough for an implementation on a small microcontroller. Simulation results for a model of a quadrotor helicopter illustrate the performance of the proposed control algorithm.
SAMER: A Semi-Automatically Created Lexical Resource for Arabic Verbal Multiword Expressions Tokens Paradigm and their Morphosyntactic Features

Although MWE are relatively morphologically and syntactically fixed expressions, several types of flexibility can be observed in MWE, verbal MWE in particular. Identifying the degree of morphological and syntactic flexibility of MWE is very important for many Lexicographic and NLP tasks. Adding MWE variants/tokens to a dictionary resource requires characterizing the flexibility among other morphosyntactic features. Carrying out the task manually faces several challenges since it is a very laborious task time and effort wise, as well as it will suffer from coverage limitation. The problem is exacerbated in rich morphological languages where the average word in Arabic could have 12 possible inflection forms. Accordingly, in this paper we introduce a semi-automatic Arabic multiwords expressions resource (SAMER). We propose an automated method that identifies the morphological and syntactic flexibility of Arabic Verbal Multiword Expressions (AVMWE). All observed morphological variants and syntactic pattern alternations of an AVMWE are automatically acquired using large scale corpora. We look for three morphosyntactic aspects of AVMWE types investigating derivational and inflectional variations and syntactic templates, namely: 1) inflectional variation (inflectional paradigm) and calculating degree of flexibility; 2) derivational productivity; and 3) identifying and classifying the different syntactic types. We build a comprehensive list of AVMWE. Every token in the AVMWE list is lemmatized and tagged with POS information. We then search Arabic Gigaword and All ATBs for all possible flexible matches. For each AVMWE type we generate: a) a statistically ranked list of MWE-lexeme inflections and syntactic pattern alternations; b) An abstract syntactic template; and c) The most frequent form. Our technique is validated using a Golden MWE annotated list. The results shows that the quality of the generated resource is 80.04%.
Génomique fonctionnelle du régulateur transcriptionnel PYCR de Pseudomonas aeruginosa essentiel in vivo et comparaison des cinétiques d'infection pulmonaire chronique

The opportunistic pathogen Pseudomonas aeruginosa is highly resistant to most classes of antibiotics and causes a wide variety of infections in compromised hosts. In addition, it represents the major cause of morbidity and mortality in cystic fibrosis (CF) patients. The principal goal of the present research project was to identify and to characterise P. aeruginosa genes essential for causing a chronic lung infection. Using a PCR-based signature-tagged mutagenesis, we identified a P. aeruginosa STM5437 mutant having an insertion into the PA5437 gene; its inactivation causes attenuation of virulence in vivo. The PA5437 gene, now called pycR, regulates the adjacent operon encoding the pyruvate carboxylase subunits (pyruvate carboxylase regulator). PycR has the signature of a putative transcriptional regulator with a predicted helix-turn-helix motif binding to a typical LysR DNA-binding motif identified in the PA5436 (pycA)PA5437 (pycA) intercistronic region. Transcriptional start sites of pycA and pycR were identified by primer extension and the DNA binding capacity of PycR was confirmed by a DNA mobility gel shift assay. Genome-wide transcriptional profiling indicated that the genes whose control were differentially expressed by PycR implicated genes responsible for lipid metabolism, lipolytic activity, anaerobic respiration, biofilm formation and a number of quorum sensing regulated genes. This study defines PycR as a major regulator in virulence and where mutations in pycR have pleiotropic effects on the expression of multiple virulence factors such as lipase, esterase and biofilm formation. The expressions of several of these genes are associated with chronic lung persistence. In the second part of the study, P. aeruginosa prototype strains PAO1 and PA14 were compared with the CF isolate LESB58 in the rat model of chronic lung infection. This comparative study identified major differences for LESB58; in vivo in bacterial localisation in the rat lung and in vitro for motility and biofilm production. Functional genomics of P. aeruginosa will provide new insights for the development of novel therapeutic targets. Genomic biodiversity may explain the variation in severity of the P. aeruginosa infections in CF disease.
Validation of Individual Non-Linear Predictive Pharmacokinetic Parameters in a Rabbit Phenytoin Model

Purpose : To evaluate the predictive performance of phenytoin multiple dosing non-linear pharmacokinetic model in rabbits for possible application in therapy individualization in humans. Methods : Phenytoin was intravenously administered to 10 rabbits (2 – 3 kg). Plasma concentrations were measured by high pressure liquid chromatography (HPLC). Rabbits received 3 single phenytoin doses (11, 22 and 44 mg/kg) and plasma concentrations were fitted according to linear twocompartmental model. In all the rabbits, based on 3 different multiple doses (D1, D2, D3, range 9 – 15 mg/kg), 3 steady state plasma concentrations (Css1, Css2, Css3, range 20 - 56mg/l) were achieved. For multiple dosage, the non-linear parameters, Km and Vm, were calculated according to the equations: Km = (D1-D2)/[(D2/Css2)-(D1/Css1)] and Vm = D2+KmD2/Css2, and individually used to calculate Css3 = D3Km/(Vm-D3). Predicted and measured Css3 values were compared. Results : The values for pharmacokinetic parameters after single doses were dose-dependent. The pronounced inter-individual variations in Km (extreme values 18 – 91 mg/l differed 5.5 times) and Vm (11 – 28 mg/kg/h) values were recorded. Significant correlation of predicted Css3 with the measured value for the same dose (D3) was found (r = 0.854, N = 10, p < 0.01). There was no statistical difference between predicted and measured concentrations (t-dependent test = 1.074, p < 0.05). Conclusion : Non-linear parameters, Km and Vm, obtained from only two steady-state concentration measurements can be successfully used to compute and achieve a particular steady-state plasma concentration and optimal dosage regimen. Keywords : Phenytoin, Rabbit, Pharmacokinetic model, Multiple dosing, Non-linear, Individualization
p38 Mitogen-activated protein kinase-, calcium-calmodulin-dependent protein kinase-, and calcineurin-mediated signaling pathways transcriptionally regulate myogenin expression.

In this report, we identify myogenin as an important transcriptional target under the control of three intracellular signaling pathways, namely, the p38 mitogen-activated protein kinase- (MAPK), calcium-calmodulin-dependent protein kinase- (CaMK), and calcineurin-mediated pathways, during skeletal muscle differentiation. Three cis-elements (i.e., the E box, myocyte enhancer factor [MEF] 2, and MEF3 sites) in the proximal myogenin promoter in response to these three pathways are defined. MyoD, MEF2s, and Six proteins, the trans-activators bound to these cis-elements, are shown to be activated by these signaling pathways. Our data support a model in which all three signaling pathways act in parallel but nonredundantly to control myogenin expression. Inhibition of any one pathway will result in abolished or reduced myogenin expression and subsequent phenotypic differentiation. In addition, we demonstrate that CaMK and calcineurin fail to activate MEF2s in Rhabdomyosarcoma-derived RD cells. For CaMK, we show its activation in response to differentiation signals and its effect on the cytoplasmic translocation of histone deacetylases 5 are not compromised in RD cells, suggesting histone deacetylases 5 cytoplasmic translocation is necessary but not sufficient, and additional signal is required in conjunction with CaMK to activate MEF2 proteins.
The metabolic syndrome and associated lifestyle factors among South Korean adults.

INTRODUCTION The importance of managing the metabolic syndrome has been emphasized in the prevention of cardiovascular disease. Although South Koreans have a low prevalence of obesity, little information is available about the prevalence of the metabolic syndrome and its associated risk factors. METHODS Data was obtained from individuals aged 20-79 years from the Korean National Health and Nutrition Examination Survey 1998, a cross-sectional health survey of a nationally representative sample of non-institutionalized civilian South Koreans. The prevalence of the metabolic syndrome, as defined by the Third Report of the National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III), was determined, and lifestyle factors associated with predisposition to the metabolic syndrome were analysed. RESULTS Among South Korean adults, the age-adjusted prevalence of the metabolic syndrome was 14.2% for men and 17.7% for women, whereas the age-adjusted prevalence of obesity (body mass index (BMI) >or=30 kg/m(2)) was 1.7% and 3.0% for men and women, respectively. Age, unemployment, higher BMI, and current smoking were associated factors for the metabolic syndrome regardless of gender. Moderate exercise (2-3 sessions/week) in men and light alcohol drinking (<15 g/day) in women decreased the odds of the metabolic syndrome. CONCLUSIONS Metabolic syndrome is present in more than 15% of South Koreans despite a low prevalence of obesity. Higher BMI and current smoking were identified as independent modifiable risk factors of the metabolic syndrome. Weight control and smoking cessation may therefore decrease the prevalence of the metabolic syndrome in South Korean adults.
Similarity searching in the CORDIS text database

Similarity searching in text databases with multiple field types is still an open problem. We focus our attention on the ‘Community Research and Development Information Service’ (CORDIS) database of the European Union and we evaluate the effectiveness of many text retrieval methods in terms of precision, recall and ranking quality. Our experiments indicate that different field types should be handled by different retrieval methods. Copyright © 2000 John Wiley & Sons, Ltd.
Automatic Meeting Segmentation Using Dynamic Bayesian Networks

Multiparty meetings are a ubiquitous feature of organizations, and there are considerable economic benefits that would arise from their automatic analysis and structuring. In this paper, we are concerned with the segmentation and structuring of meetings (recorded using multiple cameras and microphones) into sequences of group meeting actions such as monologue, discussion and presentation. We outline four families of multimodal features based on speaker turns, lexical transcription, prosody, and visual motion that are extracted from the raw audio and video recordings. We relate these low-level features to more complex group behaviors using a multistream modelling framework based on multi-stream dynamic Bayesian networks (DBNs). This results in an effective approach to the segmentation problem, resulting in an action error rate of 12.2%, compared with 43% using an approach based on hidden Markov models. Moreover, the multistream DBN developed here leaves scope for many further improvements and extensions
For a renewal of the situation concept: The situation of home online shopping

Twenty years after the pioneering article devoted to interactive home shopping by Alba et al., this research intends to study the situation of home online shopping (SHOS). An observation is carried out using video recording to examine the real practices that occur behind the screen. Two theoretical approaches are distinguished (classic and participatory). A new conceptualization of the situation is proposed that rests on three factors: the participants, spatial dimension, and time dimension. An analysis of the results highlights a main participant who interacts with other participants and business websites in addition to their spatial mobility and the materiality of the situation with its discontinuous characteristic. The fragmentation of the SHOS is emphasized. In addition to a new conceptualization of the situation, this research aims to relativize the online immersion process (flow) and to integrate the SHOS into a real omni-channel strategy.
Analysing foreign language instructional materials through the lens of the multiliteracies framework

ABSTRACT Literacy, understood as a socially situated process of making meaning from texts, has been offered as a conceptual solution to collegiate foreign language curricular divisions, and multiliteracies pedagogy as a means of implementing that solution. Within multiliteracies pedagogy, the knowledge processes framework [Kalantzis, M. , Cope, B. , Chan, E. , & Dalley-Trim, L. (2016). Literacies (2nd ed.). Melbourne: Cambridge University Press] facilitates deep engagement with texts and development of advanced language and literacy skills. As more programmes adopt this conceptualisation of literacy as a programmatic goal, additional research is needed to understand how this framework is applied in materials design and implementation. In response, this article documents the materials analysis of multiliteracies lesson plans developed as part of a revised lower-level collegiate Spanish curriculum. Using the knowledge process framework as an analytical lens, study participants examined 25 lessons targeting interpretive communication from two different courses. Results reveal an overwhelming emphasis on the knowledge process of experiencing; the knowledge processes of conceptualising, analysing, and applying occur much less frequently. The authors discuss conceptual and pedagogical factors contributing to the findings and implications for teacher development and student learning in collegiate foreign language contexts.
Multiple phytohormones influence distinct parameters of the plant circadian clock

Circadian systems coordinate endogenous events with external signals. In mammals, hormone‐clock feedbacks are a well‐known integration system. Here, we investigated phytohormone effects on plant‐circadian rhythms via the promoter:luciferase system. We report that many hormones control specific features of the plant‐circadian system, and do so in distinct ways. In particular, cytokinins delay circadian phase, auxins regulate circadian amplitude and clock precision, and brassinosteroid and abscisic acid modulate circadian periodicity. We confirmed the pharmacology in hormone synthesis and perception mutants, as rhythmic expression is predictably altered in an array of hormone‐related mutants. We genetically dissected one mechanism that integrates hormone signals into the clock, and showed that the hormone‐activated ARABIDOPSIS RESPONSE REGULATOR 4 and the photoreceptor phytochrome B are elements in the input of the cytokinin signal to circadian phase. Furthermore, molecular‐expression targets of this signal were found. Collectively, we found that plants have multiple input/output feedbacks, implying that many hormones can function on the circadian system to adjust the clock to external signals to properly maintain the clock system.
Phylogenetic Relationship , Divergence Times , and Rates of Molecular Evolution for Camarodont Sea Urchins ’

The phylogenetic relationships of 21 relatively common and well-studied genera of camarodont echinoids were established using a numerical cladistic approach. This combines data about test morphology, pedicellarial structure, tooth ultrastructure, and larval morphology. The fossil record of the group was reappraised in the light of this analysis, and times of divergence for taxa were estimated. Camarodont families are considered to have diverged much more recently than has previously been suggested, and all except the paraphyletic Temnopleuridae have originated between 65 and 35 Myr ago. Estimates of rates of molecular evolution established on the basis of both thermal stability of heterologous single-copy DNA duplexes and gene sequence data were recalculated using the revised divergence times. Rate of nucleotide divergence, as measured by thermal stability of single-copy DNA heteroduplexes, was calculated to be 0.65-0.85 degrees C/Myr, while sequence data on histone genes indicated a rate of silent substitution of 0.70%-0.85%/Myr. Times of divergence estimated from the fossil record remain too poorly constrained to prove whether molecular evolution proceeds at a stochastically constant rate, but the results are wholly consistent with such a model.
Query Understanding through Knowledge-Based Conceptualization

The goal of query conceptualization is to map instances in a query to concepts defined in a certain ontology or knowledge base. Queries usually do not observe the syntax of a written language, nor do they contain enough signals for statistical inference. However, the available context, i.e., the verbs related to the instances, the adjectives and attributes of the instances, do provide valuable clues to understand instances. In this paper, we first mine a variety of relations among terms from a large web corpus and map them to related concepts using a probabilistic knowledge base. Then, for a given query, we conceptualize terms in the query using a random walk based iterative algorithm. Finally, we examine our method on real data and compare it to representative previous methods. The experimental results show that our method achieves higher accuracy and efficiency in query conceptualization.
Shape retrieval by corners and Dynamic Space Warping

Efficacious retrieval of similar shapes from large image databases is still a challenging problem. In recent works about shape retrieval, methods based on Dynamic Space Warping (DSW) and descriptors with contour information have had a significant presence. This paper introduces a technique for Content-Based Image Retrieval (CBIR) that encompasses a robust corner detector and a new shape descriptor based on local and global features invariant to translation, rotation and scale. Moreover, this technique employs the effective DSW tool for shape matching and retrieval. We have conducted our experiments on binary images from MPEG-7 and Tari 1000 databases and our experiments have shown that the proposed method performed well in comparison with other methods defined by salience points and triangle-area representation.
Sparse recovery algorithms based on dictionary learning for MR image reconstruction

Compressive Sensing is the present sampling paradigm which acquires only useful data, and hence reduces the acquisition time, eliminates the necessity of fast analog to digital converters and data compression stage, prior to transmission. Challenge lies in recovering the data from these few samples, which are far below Nyquist rate. Compressive sensing accomplishes this, provided the signal is sparse in either signal domain or transform domain. It is particularly useful to employ compressive sensing for Magnetic Resonance (MR) imaging as these images can be sparsely represented in transform domain. A patch based dictionary can reconstruct images with great accuracy even at very high undersampling rates, as it exploits patch based sparsity. This paper investigates the performance of three different recovery strategies - Orthogonal Matching Pursuit, Compressive Sampling Matching Pursuit and Basis Pursuit on different MR images when integrated with an adaptive patch based dictionary.