Miracle-dz/UniFAR-FTUs huggingface dataset:
Narratology in the Archive of Literature

To chart accurately the contours of the novel, literary historians are in the process of recovering the variety and complexity of its generic practice across its history. "Narratology in the Archive" surveys this recovery and discusses its methodology, differentiating this recovery from symptomatic reading. The article then illustrates this method with the recovery of sea adventure fiction as an influential transnational practice of the novel from Defoe to Conrad. I suggest that sea adventure plots are defined by readers9 playful manipulation of information to solve problems posed by the text.
Brassinosteroids Regulate Plant Growth through Distinct Signaling Pathways in Selaginella and Arabidopsis

Brassinosteroids (BRs) are growth-promoting steroid hormones that regulate diverse physiological processes in plants. Most BR biosynthetic enzymes belong to the cytochrome P450 (CYP) family. The gene encoding the ultimate step of BR biosynthesis in Arabidopsis likely evolved by gene duplication followed by functional specialization in a dicotyledonous plant-specific manner. To gain insight into the evolution of BRs, we performed a genomic reconstitution of Arabidopsis BR biosynthetic genes in an ancestral vascular plant, the lycophyte Selaginella moellendorffii. Selaginella contains four members of the CYP90 family that cluster together in the CYP85 clan. Similar to known BR biosynthetic genes, the Selaginella CYP90s exhibit eight or ten exons and Selaginella produces a putative BR biosynthetic intermediate. Therefore, we hypothesized that Selaginella CYP90 genes encode BR biosynthetic enzymes. In contrast to typical CYPs in Arabidopsis, Selaginella CYP90E2 and CYP90F1 do not possess amino-terminal signal peptides, suggesting that they do not localize to the endoplasmic reticulum. In addition, one of the three putative CYP reductases (CPRs) that is required for CYP enzyme function co-localized with CYP90E2 and CYP90F1. Treatments with a BR biosynthetic inhibitor, propiconazole, and epi-brassinolide resulted in greatly retarded and increased growth, respectively. This suggests that BRs promote growth in Selaginella, as they do in Arabidopsis. However, BR signaling occurs through different pathways than in Arabidopsis. A sequence homologous to the Arabidopsis BR receptor BRI1 was absent in Selaginella, but downstream components, including BIN2, BSU1, and BZR1, were present. Thus, the mechanism that initiates BR signaling in Selaginella seems to differ from that in Arabidopsis. Our findings suggest that the basic physiological roles of BRs as growth-promoting hormones are conserved in both lycophytes and Arabidopsis; however, different BR molecules and BRI1-based membrane receptor complexes evolved in these plants.
Sympathetic activity during passive heat stress in healthy aged humans

Cardiovascular adjustments to heat stress are attenuated in healthy aged individuals, which could contribute to their greater prevalence of heat‐related illnesses and deaths during heat waves. The attenuated cardiovascular adjustments in the aged could be due to lower increases in sympathetic nerve activity during heat stress. We examined muscle sympathetic nerve activity (MSNA) and plasma catecholamine concentrations in healthy young and aged individuals during whole‐body passive heat stress. The main finding of this study is that increases in MSNA and plasma catecholamine concentrations did not differ between young and aged healthy individuals during passive heating. Furthermore, the increase in these variables did not differ when a cold pressor test and lower body negative pressure were superimposed upon heating. These findings suggest that attenuated cardiovascular adjustments to heat stress in healthy aged individuals are unlikely to be related to attenuated increases in sympathetic activity.
Need as an operating concept: the case of social work with children and families

Need is widely regarded as central to social work practice, yet is equally regarded as far from unproblematic as a concept. Considerable debate has occurred at two levels: the policy/service delivery level and an abstract conceptual level which considers the nature of need. It is suggested here, however, that between these two levels lies an ‘operating concept’. This focuses on the problem of defining and identifying need in the immediate circumstances of practice. At this level, two concepts of need are put forward: a ‘deficit concept’ and a ‘differentiated concept’. It is argued that the latter provides a more coherent conceptualization of need. In this concept, need is the superordinate concept which contains within it three subconcepts: problems, supports and resources, which are connected. These are analysed, and their potential as a basis for developing a system of need classification which may be used in practice is explored.
HIV-1 Reverse Transcriptase-Pseudoknot RNA Aptamer Interaction Has a Binding Affinity in the Low Picomolar Range Coupled with High Specificity*

Systematic evolution of ligands by exponential enrichment (SELEX) is a powerful method for the identification of small oligonucleotides that bind with high affinity and specificity to target proteins. Such DNAs/RNAs are a new class of potential chemotherapeutics that could block the enzymatic activity of pathologically relevant proteins. We have conducted a detailed biochemical study of the interaction of human immunodeficiency virus 1 (HIV-1) reverse transcriptase (RT) with a SELEX-derived pseudoknot RNA aptamer. Electron paramagnetic resonance spectroscopy of site-directed spin-labeled RT mutants revealed that this aptamer was selected for binding to the “closed” conformation of the enzyme. Kinetic analysis showed that the RNA inhibitor bound to HIV RT in a two-step process, with association rates similar to those described for model DNA/DNA and DNA/RNA substrates. However, the dissociation of the pseudoknot RNA from RT was dramatically slower than observed for model substrates. Equilibrium binding studies revealed an extraordinarily lowK d , of about 25 pm, for the enzyme-aptamer interaction, presumably a consequence of the slow off-rates. Additionally, this pseudoknot aptamer is highly specific for HIV-1 RT, with the closely related HIV-2 enzyme showing a binding affinity close to 4 orders of magnitude lower.
Feasibility, acceptability and construct validity of EQ-5D in systemic sclerosis.

BACKGROUND Systemic sclerosis is a chronic disabling disease that is often associated with severe physical and psychological impairment. Nonetheless, health-related quality of life (HRQoL) in patients with systemic sclerosis is often left behind in clinical practice and research. One of the reasons for this lack of evaluation is the current use of tools, such as the short form-36 (SF-36) questionnaire, that are complete but complicated to use in everyday routine. Other self-reported outcome measures such as the health assessment questionnaire (HAQ) are simple, but specifically designed for physical disability. STUDY AIMS AND METHODS Our aim was to evaluate the feasibility, acceptability and construct validity of EQ-5D, a simple and quick self-assessment tool, and to compare its performance with SF-36 and HAQ. We investigated 119 consecutive patients with systemic sclerosis (94% female; age: median 63 years, interquartile range 53-70 years) at three different rheumatology centres. Acceptability was evaluated from comments made by the patients and feasibility on the basis of the number of patients needing assistance or not answering questions (missing data). Construct validity was based on both convergent and divergent validity between conceptually similar and dissimilar domains, respectively, of the compared instruments. RESULTS EQ-5D was well accepted by patients. The percentage of patients missing data in at least one EQ-5D domain was 2.5%. Spearman's correlation coefficients between similar dimensions of EQ-5D vs SF-36 and vs HAQ were moderate (≥0.30) to strong (≥0.50); in contrast, correlation coefficients between less comparable dimensions were weak. As expected, the EQ-5D anxiety/depression domain did not correlate with any of the HAQ domains. The EQ-5D visual analogue scale (VAS) concordance with SF-36 general health domain and HAQ total score was strong (≥0.50 for both). Median value for the EQ-5D index (interquartile range) was 0.81 (0.75-0.86). The EQ-5D index had correlation coefficients >0.40 with all SF-36 domains and with all HAQ domains, HAQ total and HAQ VAS. CONCLUSIONS Our data demonstrate good acceptability, feasibility and construct validity of EQ-5D in patients with systemic sclerosis. We suggest the use of EQ-5D in systemic sclerosis patients as an HRQoL measure in clinical practice, in randomised clinical trials and/or in pharmacoeconomic evaluations.
Run-time code generators for model-level debugging in domain-specific modeling

Code generators in the Domain-Specific Modeling (DSM) provide transformation from abstract models to specifica-tions that can be executed, interpreted, or compiled using a target language compiler. Modeling tools may include parsers assisting software engineers to perform an inverse task; i.e., to create a set of language concepts based on existing program code. Practical benefits from such a re-verse approach are limited, since source code cannot be used as an adequate base for creating language concepts on the high-abstraction level. Goal of application of the Model-Driven Development (MDD) approach, and DSM in particular, is to formally specify, using abstract models, a complete real system to the extent that models can be executed. In this paper we present an approach that completely achieve this goal. Model execution is implemented by the visual debugging of models, and submodels, which are dynamically created. In this approach, the most important role play performant code generators, so called run-time generators, and feedback that DSM tools get from run-time systems executing specifications.
Automatic English stop consonants classification using wavelet analysis and hidden Markov models

This paper compares wavelet and STFT analysis for a speakerindependent stop classification task using the TIMIT database. In the designed experimentthe HMM classifier had to assign each test token to one of the following stop classes [d,g,b,t,k,p,dx]. On 6332 stops the wavelet features obtained an overall accuracy of 86% which corresponds to a 14% relative error reduction compared to the STFT baseline system. Furthermore an analysis of the HMM misclassifications revealed that voiced stops were highly confused with their voiceless unaspirated counterparts. Index Terms: speech recognition, wavelet analysis, Hidden Markov Models.
Variable-Speed Five-Phase Induction Motor Drive Based on Predictive Torque Control

Multiphase electric drives have been recently proposed for applications where the highest overall system reliability and a reduction in the total power per phase are required. Strategies derived from the conventional field-oriented control have been traditionally used in high-performance speed-control applications of multiphase drives. The well-known direct torque control (DTC) technique has been also applied in the multiphase case, but the achieved performance with a hysteresis-control-based approach is far from that obtainable with the three-phase drive, although the control structure is actually more complex. In this paper, a predictive-torque-control method is introduced as an alternative to the DTC technique for the high-performance variable-speed operation of multiphase drives. Simulation and experimental results are provided to illustrate the properties of the developed method.
GrAN Grup de recerca d ’ anàlisi numèrica Detection of geometrical edges for image watermarking

We present a new wavelet watermarking process for images, of private type with restricted keys. This new algorithm is based on geometrical edge detection techniques using multiscale wavelets. Numerical results are given, and the robustness of the watermarking algorithm is studied using the benchmark Checkmark. It proves to be particularly resistant against filtering and compression algorithms. Work partially supported by the EC-IHP Network Breaking Complexity and the Rhônes-Alpes region. Departament de Matemàtica Aplicada. Universitat de València. València. (Spain). e-mail:Olivier.Le-Cadet@uv.es EGIM, Technopôle de Château-Gombert, 38, rue Joliot-Curie, 13451 Marseille Cedex 20 (France). e-mail:piquemal@esm2.imt-mrs.fr
Virtual Analog Modeling in the Wave-Digital Domain

We refer to ¿Virtual Analog¿ (VA) as a wide class of digital implementations that are modeled after nonlinear analog circuits for generating or processing musical sounds. The reference analog system is therefore typically represented by a set of blocks that are connected with each other through electrical ports, and usually exhibits a nonlinear behavior. It therefore seems quite natural to consider Nonlinear Wave Digital modeling as a solid approach for the rapid prototyping of such systems. In this paper, we discuss how nonlinear wave digital modeling can be fruitfully used for this purpose, with particular reference to special blocks and connectors that allow us to overcome the implementational difficulties and potential limitations of such solutions. In particular, we address some issues that are typical of VA and physical modeling, concerning how to accommodate special blocks into WD structures, how to enable the interaction between different WD structures, and how to accommodate structural and topological changes on the fly.
Multifield-Graphs: An Approach to Visualizing Correlations in Multifield Scalar Data

We present an approach to visualizing correlations in 3D multifield scalar data. The core of our approach is the computation of correlation fields, which are scalar fields containing the local correlations of subsets of the multiple fields. While the visualization of the correlation fields can be done using standard 3D volume visualization techniques, their huge number makes selection and handling a challenge. We introduce the multifield-graph to give an overview of which multiple fields correlate and to show the strength of their correlation. This information guides the selection of informative correlation fields for visualization. We use our approach to visually analyze a number of real and synthetic multifield datasets
The Quality of Experience of Asian American Adolescents in Academic Activities: An Exploration of Educational Achievement

This study explores the reasons for high academic achievements of Asian Americans by comparing the quality of experience of Asian and Caucasian American adolescents. The Experience Sampling Method (ESM) was used to record subjective experiences. The participants were 33 Asian American students and 33 Caucasian American students in the 6th, 8th, 10th, and 12th grades. The ESM activity analyses showed that these 2 groups did not differ in the percentage of time they spent on homework and study over 1 week. However, when studying, Asian Americans reported relatively more positive experiences than Caucasian Americans. Moreover, when studying, Asian American adolescents enjoyed what they were doing significantly more in addition to perceiving the importance of what they were doing to attain their future goals. Positive experiences and motivational states characterized by high momentary enjoyment and high importance to future goals when engaged in academic activities are suggested as significant factors for pro.
Quality of Information in Mobile Crowdsensing

Smartphones have become the most pervasive devices in people’s lives and are clearly transforming the way we live and perceive technology. Today’s smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as an accelerometer, a gyroscope, a microphone, and a camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this article, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing and analyze in depth the current state of the art on the topic. We also outline novel research challenges, along with possible directions of future work.
A Cross-Cultural Investigation of Student Resistance in College Classrooms: The Effects of Teacher Misbehaviors and Credibility

The purpose of this study was to investigate the relationships of teacher misbehaviors and credibility with student resistance in U.S. and Chinese college classrooms. Findings indicate that Chinese college students report a higher level of resistance than U.S. college students. Teacher misbehaviors and credibility have differing associations with student resistance in the U.S. and Chinese college classrooms. Specifically among the 3 dimensions of teacher misbehaviors, in the United States, teacher indolence and incompetence contribute the most to student resistance, explaining 27% of the variance in student resistance; but in China, teacher offensiveness is the only source of student resistance, accounting for 10% of the variance in student resistance. Among the 3 dimensions of teacher credibility, in the United States, teacher trustworthiness and competence are the effective predictors of student resistance, explaining 19% of the variance in student resistance; whereas in China, teacher trustworthiness is the only predictor of student resistance, accounting for 6% of the variance in student resistance.
Tomato Functional Genomics Database: a comprehensive resource and analysis package for tomato functional genomics

Tomato Functional Genomics Database (TFGD) provides a comprehensive resource to store, query, mine, analyze, visualize and integrate large-scale tomato functional genomics data sets. The database is functionally expanded from the previously described Tomato Expression Database by including metabolite profiles as well as large-scale tomato small RNA (sRNA) data sets. Computational pipelines have been developed to process microarray, metabolite and sRNA data sets archived in the database, respectively, and TFGD provides downloads of all the analyzed results. TFGD is also designed to enable users to easily retrieve biologically important information through a set of efficient query interfaces and analysis tools, including improved array probe annotations as well as tools to identify co-expressed genes, significantly affected biological processes and biochemical pathways from gene expression data sets and miRNA targets, and to integrate transcript and metabolite profiles, and sRNA and mRNA sequences. The suite of tools and interfaces in TFGD allow intelligent data mining of recently released and continually expanding large-scale tomato functional genomics data sets. TFGD is available at http://ted.bti. cornell.edu.
On Social Achievement Goals: Their Relations With Peer Acceptance, Classroom Belongingness, and Perceptions of Loneliness

The authors investigated the relation between social achievement goals (A. M. Ryan & S. S. Shim, 2006) and aspects of students' socio-emotional adjustment in a sample of elementary school students. Structural equation modeling analyses revealed that after controlling for levels of prosocial skills, a social development goal was positively related to perceived belongingness and negatively related to perceptions of loneliness at school. In contrast, a social demonstration-avoid goal was positively associated with perceptions of loneliness, whereas a social demonstration-approach goal was negatively associated with peer acceptance. Last, prosocial skills were positively related to students' peer acceptance, which was negatively associated with feelings of loneliness. The results and their implications on students' school adjustment are discussed within the social achievement goal framework.
Template and Frame Based Experiment Workflows in Modeling and Simulation Software with WORMS

The integration of workflows into modeling and simulation tools promises to provide easier reproduction and provenance of simulation data and its generating process. We present the use of workflow templates and frames realized in WORMS to support and document activities involved in executing simulation experiments. Thereby we make use of functionalities provided by the validation environment FAMVal and the plug-in-based modeling and simulation framework JAMES II. The role of workflows, templates, and frames in modeling and simulation research will be illuminated by a simple simulation study in which the amount of a chemical species in the equilibrium state shall be maximized.
Loose with the Truth: Predicting Deception in Negotiation

Using a simulated, two-party negotiation, we examined how characteristics of the actor, target, and situation affected deception. To trigger deception, we used an issue that had no value for one of the two parties (indifference issue). We found support for an opportunistic betrayal model of deception: deception increased when the other party was perceived as benevolent, trustworthy, and as having integrity. Negotiators’ goals also affected the use of deception. Individualistic, cooperative, and mixed dyads responded differently to information about the other party’s trustworthiness, benevolence, and integrity when deciding to either misrepresent or leverage their indifference issue. Mixed dyads displayed opportunistic betrayal. Negotiators in all-cooperative and all-individualistic dyads used different information in deciding whether to leverage their indifference issues and used the same information (benevolence) differently in deciding whether to misrepresent the value of their indifference issue.