Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing for Flexible Interaction Between Humans and Automation: Delegation Interfaces for Supervisory Control

Objective: To develop a method enabling human-like, flexible supervisory control via delegation to automation. Background: Real-time supervisory relationships with automation are rarely as flexible as human task delegation to other humans. Flexibility in human-adaptable automation can provide important benefits, including improved situation awareness, more accurate automation usage, more balanced mental workload, increased user acceptance, and improved overall performance. Method: We review problems with static and adaptive (as opposed to “adaptable”) automation; contrast these approaches with human-human task delegation, which can mitigate many of the problems; and revise the concept of a “level of automation” as a pattern of task-based roles and authorizations. We argue that delegation requires a shared hierarchical task model between supervisor and subordinates, used to delegate tasks at various levels, and offer instruction on performing them. A prototype implementation called Playbook® is described. Results: On the basis of these analyses, we propose methods for supporting human-machine delegation interactions that parallel human-human delegation in important respects. We develop an architecture for machine-based delegation systems based on the metaphor of a sports team's “playbook. ” Finally, we describe a prototype implementation of this architecture, with an accompanying user interface and usage scenario, for mission planning for uninhabited air vehicles. Conclusion: Delegation offers a viable method for flexible, multilevel human-automation interaction to enhance system performance while maintaining user workload at a manageable level. Application: Most applications of adaptive automation (aviation, air traffic control, robotics, process control, etc.) are potential avenues for the adaptable, delegation approach we advocate. We present an extended example for uninhabited air vehicle mission planning.
A multi-agent systems approach to autonomic computing

The goal of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. This paper presents Unity, a decentralized architecture for autonomic computing based on multiple interacting agents called autonomic elements. We illustrate how the Unity architecture realizes a number of desired autonomic system behaviors including goal-driven self-assembly, self-healing, and real-time self-optimization. We then present a realistic prototype implementation, showing how a collection of Unity elements self-assembles, recovers from certain classes of faults, and manages the use of computational resources (e.g. servers) in a dynamic multi-application environment. In Unity, an autonomic element within each application environment computes a resource-level utility function based on information specified in that applicationýs service-level utility function. Resource-level utility functions from multiple application environments are sent to a Resource Arbiter element, which computes a globally optimal allocation of servers across the applications. We present illustrative empirical data showing the behavior of our implemented system in handling realistic Web-based transactional workloads running on a Linux cluster.
The Semantics of Semantic Annotation

Semantic metadata will play a signi cant role in the provision of the Semantic Web. Agents will need metadata that describes the content of resources in order to perform operations, such as retrieval, over those resources. In addition, if rich semantic metadata is supplied, those agents can then employ reasoning over the metadata, enhancing their processing power. Key to this approach is the provision of annotations, both through automatic and human means. The semantics of these annotations, however, in terms of the mechanisms through which they are interpreted and presented to the user, are sometimes unclear. In this paper, we identify a number of candidate interpretations of annotation, and discuss the impact these interpretations may have on Semantic Web applications.
Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting

The paper presents a spatio-temporal wind speed forecasting algorithm using Deep Learning (DL)and in particular, Recurrent Neural Networks(RNNs). Motivated by recent advances in renewable energy integration and smart grids, we apply our proposed algorithm for wind speed forecasting. Renewable energy resources (wind and solar)are random in nature and, thus, their integration is facilitated with accurate short-term forecasts. In our proposed framework, we model the spatiotemporal information by a graph whose nodes are data generating entities and its edges basically model how these nodes are interacting with each other. One of the main contributions of our work is the fact that we obtain forecasts of all nodes of the graph at the same time based on one framework. Results of a case study on recorded time series data from a collection of wind mills in the north-east of the U.S. show that the proposed DL-based forecasting algorithm significantly improves the short-term forecasts compared to a set of widely-used benchmarks models.
Teachers' talk about health, self and the student ‘body’

Adrienne Rich's phrase ‘the personal is the political' is well-worn in feminist literature. In a context where health imperatives are deeply embedded in school cultures and programming, we suggest the phrase has renewed purchase. Drawing on the testimonies of three New Zealand teachers, we explore the ways in which personal health dispositions and practices contour what and how physical and health education is envisaged in diverse school contexts and who is regarded as particularly ‘at risk’ of poor health outcomes. Teachers' perceptions of their students' health needs, their understanding of the role of schools in ameliorating children's health problems and the pedagogical choices made are each, we suggest, intimately linked to their lived histories of ‘health’, their understandings of their own and others’ bodies and their personal convictions about what, for them, constitutes a ‘good’ and/or ‘healthy’ life. While the ubiquitous nature of health discourses, particularly those linked to obesity reduction, might at first blush, invoke notions of a shared agenda and a uniform commitment to improving children and young people's health, our analysis points to the diverse ways in which teachers constitute their role as health and physical educators, ‘care’ about students and teach health and physical education curricula.
Effects of blood collection methods on gelatin zymography of matrix metalloproteinases.

Matrix metalloproteinases (MMPs), zinc-dependent proteinases belonging to the family of matrixins, are involved in the processes of normal development and growth as well as in several pathologic states (1). MMP-2 (gelatinase A; EC 3.4.24.24) and MMP-9 (gelatinase B; EC 3.4.24.35) play crucial roles in the proteolytic cascade leading to extracellular matrix degradation (2). To evaluate the usefulness of MMPs as tumor markers, several authors have measured MMP-2 and MMP-9 in the blood of cancer patients, using serum or plasma samples, and reached contradictory conclusions (3)(4). The preanalytical steps of blood sampling and processing influence the concentrations of MMPs and their inhibitors (5)(6), but no data are available concerning the effect of blood specimen collection methods on the appearance of the full spectrum of MMP isoforms on gelatin zymograms. We simultaneously collected blood samples from 20 healthy volunteers (median age, 36 years; range, 23–55 years) into plastic tubes with no additive, plastic tubes with a silica gel-coated surface as coagulation accelerator, lithium heparin-coated …
Exploration of spirituality in doctor of physical therapy students and graduate students in non-health disciplines

Background/Aims: The purpose of this study was to explore spirituality in doctor of physical therapy (DPT) students, and to compare these findings with graduate students from other disciplines outside healthcare. An additional purpose was to determine DPT student attitudes towards spirituality and its relevance to their profession. Methods: A brief survey was administered including the 16-item Daily Spiritual Experiences Scale (DSES). Findings: A total of 65 DPT students and a total of 132 non-healthcare graduate students completed the survey. Age did not show a statistically significant relationship (r=.051, P>.05) to spirituality in our subjects and was therefore excluded from further analysis. A 2-way, between-subjects ANOVA was performed to test for differences in spirituality scores between the sexes and between the two student groups. There was a significant main effect for sex [F(1,173) =8.771, P=. 004]. There was no significant main effect for Academic Major group (P>.05). There were no significant.
"Not Half But Double": Exploring Critical Incidents in the Racial Identity of Multiracial College Students

This qualitative study explored how critical incidents shape multiracial students' understanding of race and identity at predominantly White institutions. Participants included 14 multiracial undergraduate students from two institutions in the Midwest. Four categories of critical incidents were identified from the data: (a) confronting race and racism, (b) responding to external definitions, (c) defending legitimacy, and (d) affirming racial identity. The incidents took many forms and occurred in many contexts. The majority of incidents involved interactions with other students, underscoring the influence of peers. The study also suggests implications for higher education practice and research.
Protein Superfamily Classification Using Fuzzy Rule-Based Classifier

In this paper, we have proposed a fuzzy rule-based classifier for assigning amino acid sequences into different superfamilies of proteins. While the most popular methods for protein classification rely on sequence alignment, our approach is alignment-free and so more human readable. It accounts for the distribution of contiguous patterns of n amino acids ( n-grams) in the sequences as features, alike other alignment-independent methods. Our approach, first extracts a plenty of features from a set of training sequences, then selects only some best of them, using a proposed feature ranking method. Thereafter, using these features, a novel steady-state genetic algorithm for extracting fuzzy classification rules from data is used to generate a compact set of interpretable fuzzy rules. The generated rules are simple and human understandable. So, the biologists can utilize them, for classification purposes, or incorporate their expertise to interpret or even modify them. To evaluate the performance of our fuzzy rule-based classifier, we have compared it with the conventional nonfuzzy C4.5 algorithm, beside some other fuzzy classifiers. This comparative study is conducted through classifying the protein sequences of five superfamily classes, downloaded from a public domain database. The obtained results show that the generated fuzzy rules are more interpretable, with acceptable improvement in the classification accuracy.
On the development of verbal and nominal morphology in four lusophone creoles

Abstract This article attempts to reconstruct the plausible evolution of inflectional and free-standing morphemes in three historically related lusophone creoles (Cape Verdean Creole, Guinea-Bissau Creole, Papiamentu), and compares their morphological properties to Angolar, believed to have followed an independent developmental path. I examine their synchronic morphological properties and seek insights into their origins by studying Black speech in Portuguese 15th- and 16th-century literature. This reconstruction seeks to address several questions. Within the historically related creoles, is it possible to identify a set of formally and functionally common morphemes? If so, what is their source? Are they likely to have been inherited through diffusion? Are the common morphemes in the three related creoles distinct from those of Angolar or do they overlap?
Self‐Regulation Underlies Temperament and Personality: An Integrative Developmental Framework

In this article, we present an integrative perspective on temperament and personality development. Personality and temperament are conceptualized as regulatory systems that start as physiological reactivity to environmental features early in life, but are increasingly supplemented by regulation efforts oriented toward reference values such as personal goals and social norms. These reference values change during development as society expects increasingly mature behaviors, but it takes regulatory resources and incremental practice before people can conform to these higher standards. Consistent with this view, a meta-analysis of mean-level development of personality traits in adolescence revealed a decrease in conscientiousness and openness during early adolescence. Negative discrepancies between reference values and actual behavior are apparently responsible for decreases in perceived maturity, but more direct evidence is needed to support this claim.
Discrepant SAT Critical Reading and Writing Scores: Implications for College Performance

Despite the similarities that researchers note between the cognitive processes and knowledge involved in reading and writing, there are students who are much stronger readers than writers and those who are much stronger writers than readers. The addition of the writing section to the SAT provides an opportunity to examine whether certain groups of students are more likely to exhibit stronger performance in reading versus writing and the academic consequences of this discrepant performance. Results of this study, based on hierarchical linear models of student performance, showed that even after controlling for relevant student characteristics and prior academic performance, an SAT critical reading–writing discrepancy had a small effect on 1st-year grade point average as well as English course grades in college. Specifically, students who had relatively higher writing scores as compared to their critical reading scores earned higher grades in their 1st year of college as well as in their 1st-year English course(s).
Quantification of De-anonymization Risks in Social Networks

The risks of publishing privacy-sensitive data have received considerable attention recently. Several de-anonymization attacks have been proposed to re-identify individuals even if data anonymization techniques were applied. However, there is no theoretical quantification for relating the data utility that is preserved by the anonymization techniques and the data vulnerability against de-anonymization attacks. In this paper, we theoretically analyze the de-anonymization attacks and provide conditions on the utility of the anonymized data (denoted by anonymized utility) to achieve successful de-anonymization. To the best of our knowledge, this is the first work on quantifying the relationships between anonymized utility and de-anonymization capability. Unlike previous work, our quantification analysis requires no assumptions about the graph model, thus providing a general theoretical guide for developing practical de-anonymization/anonymization techniques. Furthermore, we evaluate state-of-the-art de-anonymization attacks on a real-world Facebook dataset to show the limitations of previous work. By comparing these experimental results and the theoretically achievable de-anonymization capability derived in our analysis, we further demonstrate the ineffectiveness of previous de-anonymization attacks and the potential of more powerful de-anonymization attacks in the future.
Responses of biomarkers of a standardized (Cyprinus carpio) and a native (Pimelodella laticeps) fish species after in situ exposure in a periurban zone of Luján river (Argentina)

The Luján River basin, which is located in the northwest area of the province of Buenos Aires, Argentina, receives different anthropogenic inputs before reaching the Río de la Plata estuary. The aim of this study was to assess the adverse impact of the river in the middle part of the basin. To this end, an in situ cage assay was conducted in two sites of the river (S1 and S2) near Luján city, and the responses of hepatic biomarkers of both a standardized (Cyprinus carpio) and a native (Pimelodella laticeps) species were evaluated. The biomarkers studied were the condition factor and liver somatic indices (LSI), the enzymatic activities of catalase (CAT), superoxide dismutase (SOD), and glutathione‐S‐transferase (GST), lipid peroxidation levels (thiobarbituric acid reactive substances, TBARS) and the induction of hepatic cytochrome P450 1A (CYP1A) and vitellogenin (Vtg) proteins. After 14 days, LSI and GST activity increased, and TBARS levels decreased in both species exposed at S1 and S2. In addition, exposure at both sites promoted an increase in SOD activity and CYP1A induction in C. carpio, while Vtg expression was observed only at S1. A shorter exposure period (7 days) caused an initial response only at S2 mediated only by CAT in P. laticeps. Finally, our results demonstrate that a 14‐day period of in situ exposure in Luján River could lead to antioxidant and biotransformation processes in C. carpio and to phase II biotransformation responses in P. laticeps. © 2012 Wiley Periodicals, Inc. Environ Toxicol 29: 545–557, 2014.
A framework for routing and congestion control for multicast information flows

We propose a new multicast routing and scheduling algorithm called multipurpose multicast routing and scheduling algorithm (MMRS). The routing policy load balances among various possible routes between the source and the destinations, basing its decisions on the message queue lengths at the source node. The scheduling is such that the flow of a session depends on the congestion of the next hop links. MMRS is throughput optimal. In addition, it has several other attractive features. It is computationally simple and can be implemented in a distributed, asynchronous manner. It has several parameters which can be suitably modified to control the end-to-end delay and packet loss in a topology-specific manner. These parameters can be adjusted to offer limited priorities to some desired sessions. MMRS is expected to play a significant role in end-to-end congestion control in the multicast scenario.
Palestinian Children Crafting National Identity

This study examines the formulation of national identity in Palestinian children by exploring their understanding of its paradoxes. Twelve Palestinian children were interviewed from cities, villages and refugee camps in the West Bank. The children express the multiple dimensions of national identity in terms of self and other; however these expressions are fragmented in nature. Furthermore, the findings indicate that national identity highlights children as geopolitical agents, rather than separate entities defined by time.
Tourist experience expectations: questionnaire development and text narrative analysis

Purpose – The purpose of this paper is to develop a questionnaire on tourist experience expectations, and to conduct a qualitative study to analyze the factors and related texts of the questionnaire.Design/methodology/approach – A content analysis on travel diaries written by museum tourists was conducted to develop a questionnaire of tourist experience expectations (TEE). The survey results were analyzed by factor analysis.Findings – The tourism experience expectations include five factors: experience expectations of easiness and fun; cultural entertainment; personal identification; historical reminiscences; and escapism. In addition to these factors, this study reorganized the travel diaries to extract representative texts for narrative analysis, in order to develop the situational factors of tourist experiences.Research limitations/implications – This study only investigated museum tourists in Taiwan, and thus the scope for wider application of the results is limited.Practical implications – The study .
When More Is Not Better: Treatment Intensification Among Hypertensive Patients With Poor Medication Adherence

Background— Hypertension may be poorly controlled because patients do not take their medications (poor adherence) or because providers do not increase medication when appropriate (lack of medication intensification, or “clinical inertia”). We examined the prevalence of and relationship between patient adherence and provider treatment intensification. Methods and Results— We used a retrospective cohort study of hypertensive patients who had filled prescriptions for 1 or more blood pressure (BP) medications at Veterans’ Affairs (VA) healthcare facilities in a Midwestern VA administrative region. Our sample included all patients who received at least 2 outpatient BP medication refills during 2004 and had 1 or more outpatient primary care visits with an elevated systolic BP >140 but <200 mm Hg or diastolic BP >90 mm Hg during 2005 (n=38 327). For each episode of elevated BP during 2005 (68 610 events), we used electronic pharmacy refill data to examine patients’ BP medication adherence over the prior 12 months and whether providers increased doses or added BP medications (“intensification”). Multivariate analyses accounted for the clustering of elevated BP events within patients and adjusted for patient age, comorbidities, number of BP medications, encounter systolic BP, and average systolic BP over the prior year. Providers intensified medications in 30% of the 68 610 elevated BP events, with almost no variation in intensification regardless of whether patients had good or poor BP medication adherence. After adjustment, intensification rates were 31% among patients who had “gaps” of <20% (days on which patients should have had medication but no medication was available because medications had not been refilled), 34% among patients with refill gaps of 20% to 59%, and 32% among patients with gaps of 60% or more. Conclusions— Intensification of medications occurred in fewer than one third of visits in which patients had an elevated BP. Patients’ prior medication adherence had little impact on providers’ decisions about intensifying medications, even at very high levels of poor adherence. Addressing both patient adherence and provider intensification simultaneously would most likely result in better BP control.
Preliminary Evaluation of Children's Psychosocial Rehabilitation for Youth with Serious Emotional Disturbance

Objective: This article introduces and evaluates children's psychosocial rehabilitation, a home- and community-based treatment for children with serious emotional disturbance. Method: In an open-trial design, the author used repeated-measures analysis of variance and Wilcoxon signed-rank tests to assess pre—post outcome ratings for 218 participants, ages 3 to 18, on the Child and Adolescent Functional Assessment Scale or the Preschool and Early Childhood Functional Assessment Scale. Average treatment time was 13 months. Results: Participants improved significantly in psychosocial functioning and psychological symptoms, with effect sizes ranging from large to small. Improvements were clinically significant for 78% of participants. Conclusions: Children's psychosocial rehabilitation shows promise as an empirically based treatment for serious emotional disturbance.