Miracle-dz/UniFAR-FTUs huggingface dataset:
Dotlet: diagonal plots in a Web browser

UNLABELLED Dotlet is a program for comparing sequences by the diagonal plot method. It is designed to be platform-independent and to run in a Web browser, thus enabling the majority of researchers to use it. AVAILABILITY The applet can be tested at http://www.isrec. isb-sib.ch/java/dotlet/ Dotlet.html, and the source code is available upon request. CONTACT Thomas. Junier Marco.Pagni @isrec.unil. ch SUPPLEMENTARY: The full documentation about d o t l e t is available from the above URL.
Coordinated Control Strategies for SMES-Battery Hybrid Energy Storage Systems

Power swings may cause power system instability; therefore, hybrid energy storage systems (HESSs) are necessary to smooth the output of wind farms. Superconducting magnetic energy storage (SMES) systems have a high power density, whereas battery energy storage systems (BESSs) provide a high energy density. The significant contribution of this paper is the proposal of hierarchical control strategies for an HESS composed of an SMES system and a BESS. Mathematical models and port-controlled Hamiltonian (PCH) models of the HESS are established. At the device level, a novel HESS control strategy based on the PCH models is proposed to improve its output performance. At the system level, a multilevel power allocation method based on empirical mode decomposition, Fuzzy control and advanced control is proposed to achieve an efficient grid connection for a wind farm; the grid connection considers the real-time and future state of charge of the SMES system and BESS. The effectiveness of the proposed strategies are verified through simulation studies.
Stabilization of Quinapril by Incorporating Hydrogen Bonding Interactions

In the present study stability of various known solvates of quinapril hydrochloride has been compared with nitromethane solvate. Nitromethane solvate was found to be more stable compared to other known solvates. Single crystal X-ray diffraction analysis of quinapril nitromethane solvate shows intermolecular hydrogen bonding between quinapril molecule and nitromethane. Stabilization of quinapril by forming strong hydrogen bonding network as in case of co-crystals was further studied by forming co-crystal with tris(hydroxymethyl)amino methane. Quinapril free base forms a stable salt with tris(hydroxymethyl)amino methane not reported earlier. Quinapril tris(hydroxymethyl)amino methane salt found to be stable even at 80° for 72 h i.e. hardly any formation of diketopiperazine and diacid impurity. As expected single crystal X-ray diffraction analysis reveals tris(hydroxymethyl)amino methane salt of quinapril shows complex hydrogen bonding network between the two entities along with ionic bond. The properties of this stable salt - stable in solid as well as solution phase, might lead to an alternate highly stable formulation.
Recognition of visual letter strings following injury to the posterior visual spatial attention system

Abstract Unilateral posterior lesions often produce a deficit in visual spatial attention. One result of this deficit is a loss of information from a word contralateral to the lesion when presented simultaneously with an ipsilateral word (interword extinction). However, when a single word presented at fixation covers the same visual angle there is frequently no extinction (Sieroff & Michel, 1987). Why are centred words not extinguished? Our studies attempt to discover the reason by comparing centred word and nonword letter strings. Nonwords do show extinction. Words are processed more accurately and show little evidence of extinction. Compound words appear to act like normal words, but segmenting letters into separate strings increases extinction. These results suggest that spatial attention is unnecessary for access to the lexical network that produces a visual word form.
Television violence: A development of a coding scheme

Traditional analyses have treated TV violence as a homogenous entity disregarding the nature and context of the violent acts. A new coding scheme was designed to examine the amount of violence portrayed on TV; the degree to which it is obtrusive; and the messages it conveys. The final, 37 item coding scheme is sensitive to features of televised messages whether in fiction, or in non‐fiction. It included contextual themes concerning intensity (seriousness, realism, way of dramatization), and attractiveness (justification, glamorization, efficacy) of TV violence. The coding scheme was applied to an analysis of a program sample which consisted of all genres (N = 259) presented on Finnish network television during one week. The analysis showed that television violence does not exist as a homogenous entity, since portrayals of violence vary in amount, intensity, and attractiveness.
Time regions and effects for resource usage analysis

Various resources such as files and memory are associated with certain protocols about how they should be accessed. For example, a memory cell that has been allocated should be eventually deallocated, and after the deallocation, the cell should no longer be accessed. Igarashi and Kobayashi recently proposed a general type-based method to check whether a program follows such resource access policies, but their analysis was not precise enough for certain programs. In this paper, we refine their type-based analysis by introducing a new notion of time regions. The resulting analysis combines the merits of two major previous approaches to type-based analysis of resource usage -- linear-type-based and effect-based approaches.
Eyo: Device-Transparent Personal Storage

Users increasingly store data collections such as digital photographs on multiple personal devices, each of which typically offers a storage management interface oblivious to the contents of the user's other devices. As a result, collections become disorganized and drift out of sync. This paper presents Eyo, a novel personal storage system that provides device transparency: a user can think in terms of "file X", rather than "file X on device Y", and will see the same set of files on all personal devices. Eyo allows a user to view and manage the entire collection of objects from any of their devices, even from disconnected devices and devices with too little storage to hold all the object content. Eyo synchronizes these collections across any network topology, including direct peer-to-peer links. Eyo provides applications with a storage API with first-class access to object version history in order to resolve update conflicts automatically. Experiments with several applications using Eyo-- media players, a photo editor, a podcast manager, and an email interface--show that device transparency requires only minor application changes, and matches the storage and bandwidth capabilities of typical portable devices.
Validation of a screening instrument for identifying risk behaviour related to eating disorders

Objective: To validate a screening instrument (RiBED-8) aimed at identifying risk behaviour related to eating disorders among Danish adolescents in a two-stage study in 1996 and a follow-up study 2.75 years later. Methods: 2094 pupils, aged 14–21 years, responded to a 49-item self-report questionnaire. Risk behaviour related to eating disorders was defined. The psychometric validation procedure was performed with Rasch Item analysis, testing the internal and external homogeneity, local independence and uni-dimensionality. Furthermore, 91 semi-structured clinical interviews were conducted to create a gold standard and to test the content, criterion and construct related validity of risk behaviour. Eight items comprised the final scale, called RiBED-8. Furthermore, the criterion-related validity, the stability and the predictive validity of RiBED-8 was tested using the Eating Disorders Inventory (EDI-2) in the follow-up study in 1998, where 508 pupils responded. In a cross-sectional design in 1998, the concurrent general psychopathology was analysed using Hopkins Symptoms CheckList (SCL-90-R). Lastly, the time-related reliability of the instrument was tested by test–retest analysis in 1998. Results: The scale was a uni-dimensional screening instrument with local independence, internal consistency and external homogeneity towards age groups. However, the instrument did not measure less severe risk behaviour for boys. RiBED-8 had sufficiently good psychometric properties (construct, criterion and predictive validity and test–retest reliability), and identified persons with a high level of general psychological distress and of eating pathology. Risk behaviour related to eating disorders was stable and indicated a 5.6-times greater relative risk of having eating disorders over 2.75 years. Copyright © 2003 John Wiley & Sons, Ltd and Eating Disorders Association.
Solution Structure and Peptide Binding of the PTB Domain from the AIDA1 Postsynaptic Signaling Scaffolding Protein

AIDA1 links persistent chemical signaling events occurring at the neuronal synapse with global changes in gene expression. Consistent with its role as a scaffolding protein, AIDA1 is composed of several protein-protein interaction domains. Here we report the NMR structure of the carboxy terminally located phosphotyrosine binding domain (PTB) that is common to all AIDA1 splice variants. A comprehensive survey of peptides identified a consensus sequence around an NxxY motif that is shared by a number of related neuronal signaling proteins. Using peptide arrays and fluorescence based assays, we determined that the AIDA1 PTB domain binds amyloid protein precursor (APP) in a similar manner to the X11/Mint PTB domain, albeit at reduced affinity (∼10 µM) that may allow AIDA1 to effectively sample APP, as well as other protein partners in a variety of cellular contexts.
Spectral Methods for Automatic Multiscale Data Clustering

Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new insights into how the method works and uses these to derive new algorithms which given the data alone automatically learn different plausible data partitionings. The main theoretical contribution is a generalization of a key result in the field, the multicut lemma [7]. We use this generalization to derive two algorithms. The first uses the eigenvalues of a given affinity matrix to infer the number of clusters in data, and the second combines learning the affinity matrix with inferring the number of clusters. A hierarchical implementation of the algorithms is also derived. The algorithms are theoretically motivated and demonstrated on nontrivial data sets.
Headteacher as a Pedagogical Leader: a Comparative Study of Headteachers in Sweden and England

ABSTRACT This is a comparative study, drawing on data obtained from interviews conducted with headteachers, that compares the roles of Swedish and British headteachers as pedagogical leaders. For its analytical framework the study uses the qualitative research approach known as phenomenography and, in the context of the guiding legal documents related to education, examines the study's findings as frame factors and as tight and loosely coupled systems. Based on interviews with the study's subjects (five Swedish and five English headteachers), discernible differences were noted between Swedish and English headteachers in their roles as pedagogical leaders. Both groups are responsible for the administration and management of the school but, compared to the Swedish headteachers, their English counterparts have greater personal responsibility for the school's overall performance and are more focused on providing leadership in teaching and learning. In contrast, the Swedish headteachers had a greater separation of the two roles, with the headteacher taking responsibility for administration and leaving responsibility for teaching and learning to the teachers.
Error control coding in software radios: an FPGA approach

Among the various tasks performed by software radios is the reconfiguration of the error control coding algorithm to match the requirement of the radio personality. In the digital radio processor, proper assignment of tasks between DSPs and FPGAs provides performance improvements over the use of DSPs alone. Error control coding functions are good candidates to reside on the FPGA side of this functional partition. Unfortunately, good VLSI designs for codes using BCH or Reed-Solomon codes do not map well to FPGAs. Good FPGA designs must parallelize at every opportunity, minimize timing delays through intelligent floor planning, and use each logic block to its fullest. We demonstrate the merits of these concepts by comparing the performance of popular finite field multiplier designs.
Person re-identification based on combined Gaussian weighted Fisher vectors

Recognizing the same person across multiple potentially non-overlapping cameras, known as Person re-identification, is a fundamental challenging task in Computer Vision. This is due to the important challenges that it proposes, like large view angle, pose, background clutter and occlusion and low resolution. Most of existing approaches rely on brute-force matching between pedestrian local descriptors and thus suffer from low computational efficiency. To address this issue, we present a new perspective for person re-identification based on a histogram encoding scheme [1] that assigns a global signature to each pedestrian image and thus simplifies the matching process. For that, an extended weighted version of the traditional Fisher vector encoding scheme is proposed. This is achieved by incorporating the Topological location of the encoded descriptors in the encoding process. Thus, two main contributions are proposed. (1) By designing a super Fisher vector representation, we aim to improve both the rate and the speedup of the person matching process. (2) By weighting the Fisher vector encoding scheme, we aim to remove noisy and busy background clutters surrounding a person throughout the Topological weight. Experimental results made on two challenging datasets, the VIPeR dataset, the CUHK03 dataset and the Market-1501 dataset, prove the effectiveness of the proposed method.
Bicyclo[3.2.1]octane and 6-oxabicyclo[3.2.2]nonane type neolignans from Magnolia denudata.

From the ethyl acetate soluble fraction of twigs of Magnolia denudata (Magnoliaceae), seven new neolignan derivatives, 1-7, were isolated along with eighteen known lignan and neolignan derivatives, 8-25. The structures of the new neolignans were elucidated by means of spectral methods, especially by 1H-NMR and 13C-NMR spectra, and two dimensional NMR methods such as 1H-detected heteronuculear multiple bond connectivity1 (HMBC), 1H-detected multiple quantum coherence (HMQC) and 1H-1H-correlation spectroscopy (COSY). Compounds 1-4 have novel structures possessing a 6-oxabicyclo[3.2. 2]nonane skeleton and compounds 5-8 also have novel structures possessing a bicyclo[3.2. 1]octane skeleton. The anti-platelet-activating factor (PAF) activity of these compounds was tested by measurement of inhibition activity against acetyl transferase to lyso-PAF.
A N IMPROVEMENT OF O PTIMAL COUVERTURE EXTRACTION USING S EMANTIC A PPROACH

The amount of data speedily proliferates. Consequently, the excessive number of extracted association greatly prohibits to better assist the decision maker. In this respect, backboned on the Formal Concept Analysis, we propose to extend the notion of Formal Concept through the generalization of the notion of itemset aiming to consider the itemset as an intent, its support as the cardinality of the extent. Accordingly, we propose a new approach to extract frequent itemsets using the coverage concept. In fact, this contribution is based on a quality-criterion of a rule namely the profit which expressively improves the classical formal concept analysis through the addition of semantic value to derive highly significant association rules.
Synthesis and Characterization of Organic-Inorganic Nanocomposite Poly-o-anisidine Sn(IV) Arsenophosphate: Its Analytical Applications as Pb(II) Ion-Selective Membrane Electrode

Poly-o-anisidine Sn(IV) arsenophosphate is a newly synthesized nanocomposite material and has been characterized on the basis of its chemical composition, ion exchange capacity, TGA-DTA, FTIR, X-RAY, SEM, and TEM studies. On the basis of distribution studies, the exchanger was found to be highly selective for lead that is an environmental pollutant. For the detection of lead in water a heterogeneous precipitate based ion-selective membrane electrode was developed by means of this composite cation exchanger as electroactive material. The membrane electrode is mechanically stable, with a quick response time, and can be operated over a wide pH range. The selectivity coefficients were determined by mixed solution method and revealed that the electrode is sensitive for Pb(II) in presence of interfering cations. The practical utility of this membrane electrode has been established by employing it as an indicator electrode in the potentiometric titration of Pb(II).
Implementation and evaluation of a quality-based search engine

In this paper, an approach for the implementation of a quality-based Web search engine is proposed. Quality retrieval is introduced and an overview on previous efforts to implement such a service is given. Machine learning approaches are identified as the most promising methods to determine the quality of Web pages. Features for the most appropriate characterization of Web pages are determined. A quality model is developed based on human judgments. This model is integrated into a meta search engine which assesses the quality of all results at run time. The evaluation results show that quality based ranking does lead to better results concerning the perceived quality of Web pages presented in the result set. The quality models are exploited to identify potentially important features and characteristics for the quality of Web pages.
Structural basis for membrane binding and catalytic activation of the peripheral membrane enzyme pyruvate oxidase from Escherichia coli

The thiamin- and flavin-dependent peripheral membrane enzyme pyruvate oxidase from E. coli catalyzes the oxidative decarboxylation of the central metabolite pyruvate to CO2 and acetate. Concomitant reduction of the enzyme-bound flavin triggers membrane binding of the C terminus and shuttling of 2 electrons to ubiquinone 8, a membrane-bound mobile carrier of the electron transport chain. Binding to the membrane in vivo or limited proteolysis in vitro stimulate the catalytic proficiency by 2 orders of magnitude. The molecular mechanisms by which membrane binding and activation are governed have remained enigmatic. Here, we present the X-ray crystal structures of the full-length enzyme and a proteolytically activated truncation variant lacking the last 23 C-terminal residues inferred as important in membrane binding. In conjunction with spectroscopic results, the structural data pinpoint a conformational rearrangement upon activation that exposes the autoinhibitory C terminus, thereby freeing the active site. In the activated enzyme, Phe-465 swings into the active site and wires both cofactors for efficient electron transfer. The isolated C terminus, which has no intrinsic helix propensity, folds into a helical structure in the presence of micelles.
Evolution of sex chromosomes prior to speciation in the dioecious Phoenix species

Understanding the driving forces and molecular processes underlying dioecy and sex chromosome evolution, leading from hermaphroditism to the occurrence of male and female individuals, is of considerable interest in fundamental and applied research. The genus Phoenix, belonging to the Arecaceae family, consists uniquely of dioecious species. Phylogenetic data suggest that the genus Phoenix has diverged from a hermaphroditic ancestor which is also shared with its closest relatives. We have investigated the cessation of recombination in the sex‐determination region within the genus Phoenix as a whole by extending the analysis of P. dactylifera SSR sex‐related loci to eight other species within the genus. Phylogenetic analysis of a date palm sex‐linked PdMYB1 gene in these species has revealed that sex‐linked alleles have not clustered in a species‐dependent way but rather in X and Y‐allele clusters. Our data show that sex chromosomes evolved from a common autosomal origin before the diversification of the extant dioecious species.
Improving fault tolerance of wearable wearable sensor-based activity recognition techniques

Existing wearable sensor-based activity recognition techniques lack fault tolerance in the case of sensors data loss, such as communication disconnection and sensor failure. Compensating for missing data is one method to improve robustness and can be done by three levels in activity recognition: raw data level, feature value level, and classifier level. Our study proposes a method to compensate for the missing sensor data using an ARAR algorithm and compares this method with a previous method for compensating for the feature value using kernel regression in the feature value level. The ARAR algorithm method predicts future data from existing sequence data. We conducted some experiments to verify the usefulness of the proposed methods. Specifically, the prediction performance was evaluated by applying the ARAR algorithm to compensate for one to five successive windows. As a result of our test data, the F-measure rate was 73.4% in the case of sensor data loss. The ARAR algorithm compensation for one and two successive windows increased the F-measure to 76.8%. Overall, the ARAR algorithm method effectively compensates for instantaneous communication disconnection. On the other hand, the kernel regression method is especially compensates for burst communication disconnection. Therefore, we need to change the compensation method depending on sensor error patterns. Thus, we improved robustness of the activity recognition system by compensating for sensor data loss.
Minimum-Entropy Data Partitioning Using Reversible Jump Markov Chain Monte Carlo

Problems in data analysis often require the unsupervised partitioning of a data set into classes. Several methods exist for such partitioning but many have the weakness of being formulated via strict parametric models (e.g., each class is modeled by a single Gaussian) or being computationally intensive in high-dimensional data spaces. We reconsider the notion of such cluster analysis in information-theoretic terms and show that an efficient partitioning may be given via a minimization of partition entropy. A reversible-jump sampling is introduced to explore the variable-dimension space of partition models.
Chapter 1 Carotenoid Distribution in Nature

Carotenoids are naturally occurring red, orange and yellow pigments that are synthesized by plants and some microorganisms and fulfill many important physiological functions. This chapter describes the distribution of carotenoid in microorganisms, including bacteria, archaea, microalgae, filamentous fungi and yeasts. We will also focus on their functional aspects and applications, such as their nutritional value, their benefits for human and animal health and their potential protection against free radicals. The central metabolic pathway leading to the synthesis of carotenoids is described as the three following principal steps: (i) the synthesis of isopentenyl pyrophosphate and the formation of dimethylallyl pyrophosphate, (ii) the synthesis of geranylgeranyl pyrophosphate and (iii) the synthesis of carotenoids per se, highlighting the differences that have been found in several carotenogenic organisms and providing an evolutionary perspective. Finally, as an example, the synthesis of the xanthophyll astaxanthin is discussed.