Miracle-dz/UniFAR-FTUs huggingface dataset:
Academic departments as networks of informal learning: faculty development at liberal arts colleges

In this article, we consider the role of departmental contexts and relationships in faculty work within liberal arts colleges. Knowledge about how departmental networks relate to success and satisfaction may inform the work of those who support faculty work in liberal arts colleges, as well as other institution types. Analysis of quantitative and qualitative survey data from faculty members at 13 liberal arts colleges in the US suggests that informal departmental relationships influence faculty experiences. Findings suggest that departmental leaders and colleagues are sources of professional development and support, but that counter-productive behaviours interfere with such support and foster negative workplace cultures.
RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image with Only 64 KB Overhead

Most camera images are saved as 8-bit standard RGB (sRGB) compressed JPEGs. Even when JPEG compression is set to its highest quality, the encoded sRGB image has been significantly processed in terms of color and tone manipulation. This makes sRGB-JPEG images undesirable for many computer vision tasks that assume a direct relationship between pixel values and incoming light. For such applications, the RAW image format is preferred, as RAW represents a minimally processed, sensor-specific RGB image with higher dynamic range that is linear with respect to scene radiance. The drawback with RAW images, however, is that they require large amounts of storage and are not well-supported by many imaging applications. To address this issue, we present a method to encode the necessary metadata within an sRGB image to reconstruct a high-quality RAW image. Our approach requires no calibration of the camera and can reconstruct the original RAW to within 0:3% error with only a 64 KB overhead for the additional data. More importantly, our output is a fully selfcontained 100% complainant sRGB-JPEG file that can be used as-is, not affecting any existing image workflow - the RAW image can be extracted when needed, or ignored otherwise. We detail our approach and show its effectiveness against competing strategies.
Impact of Role Discrepancies on Caregiver Burden Among Spouses

Using caregiver identity theory, the authors investigated whether role discrepancies mediated the relationships between illness-related stressors (activities of daily living [ADLs] limitations and problem behaviors) and burden (stress, relationship, and objective burden) for spouse caregivers. Participants completed measures of identity standards for spouse and caregiver roles and behaviors, burden, assistance with ADLs, and problem behaviors. Structural equation modeling analyses revealed that role discrepancies completely mediated the relationships between ADLs and stress and relationship burden. Although role discrepancies mediated the relationships between problem behaviors and all forms of burden, there were direct relationships between problem behaviors and burden. Finally, participants who exceeded their relationship identity standards experienced greater burden. Supporting caregiver identity theory, the results suggest that ADL assistance is burdensome for caregivers when it highlights inconsistencies between their behaviors and their relationship expectations. However, unpredictable stressors such as problem behaviors are both inherently burdensome and highlight role discrepancies.
Semi-automatic dictionary curation for domain-specific ontologies

Within the broad area of information extraction, we study the problem of effective dictionary curation in an enterprise setting. Equipped with an ontology, representative of the domain of an enterprise, our approach populates the attributes of leaf nodes of the ontology with instances extracted from the enterprise corpus. For an attribute of interest, given a few seed examples or indicative features for the attribute, we first obtain a ranked list of 'list pages' potentially containing additional dictionary terms. Our ranking model ranks pages from the enterprise corpus based on their 'list' content using several visual and lexical features. We gather users' judgement of the result pages and the model continuously learns from this feedback. We compare different techniques of dictionary curation using rule based extractors and visual features of pages. Based on rule writing exercise, we show the benefit of dictionaries for leaf node attributes, in writing rule based extractors for higher level nodes in an ontology. We have implemented a dictionary curation system based on these ideas. Experimental analysis using academic domain ontology and universities corpora, reveal (in the context of enterprise analytics) (i) the merit of dictionary support in rule based information extraction (ii) the viability and effectiveness of an interactive approach for dictionary creation.
TIMI Risk Score for ST-Elevation Myocardial Infarction: A Convenient, Bedside, Clinical Score for Risk Assessment at Presentation: An Intravenous nPA for Treatment of Infarcting Myocardium Early II Trial Substudy

BackgroundConsiderable variability in mortality risk exists among patients with ST-elevation myocardial infarction (STEMI). Complex multivariable models identify independent predictors and quantify their relative contribution to mortality risk but are too cumbersome to be readily applied in clinical practice. Methods and ResultsWe developed and evaluated a convenient bedside clinical risk score for predicting 30-day mortality at presentation of fibrinolytic-eligible patients with STEMI. The Thrombolysis in Myocardial Infarction ( TIMI) risk score for STEMI was created as the simple arithmetic sum of independent predictors of mortality weighted according to the adjusted odds ratios from logistic regression analysis in the Intravenous nPA for Treatment of Infarcting Myocardium Early II trial (n=14 114). Mean 30-day mortality was 6.7%. Ten baseline variables, accounting for 97% of the predictive capacity of the multivariate model, constituted the TIMI risk score. The risk score showed a >40-fold graded increase in mortality, with scores ranging from 0 to >8 (P <0.0001); mortality was <1% among patients with a score of 0. The prognostic discriminatory capacity of the TIMI risk score was comparable to the full multivariable model (c statistic 0.779 versus 0.784). The prognostic performance of the risk score was stable over multiple time points (1 to 365 days). External validation in the TIMI 9 trial showed similar prognostic capacity (c statistic 0.746). ConclusionsThe TIMI risk score for STEMI captures the majority of prognostic information offered by a full logistic regression model but is more readily used at the bedside. This risk assessment tool is likely to be clinically useful in the triage and management of fibrinolytic-eligible patients with STEMI.
Varying-Coefficient Functional Linear Regression Models

This article considers a generalization of the functional linear regression in which an additional real variable influences smoothly the functional coefficient. We thus define a varying-coefficient regression model for functional data. We propose two estimators based, respectively, on conditional functional principal regression and on local penalized regression splines and prove their pointwise consistency. We check, with the prediction one day ahead of ozone concentration in the city of Toulouse, the ability of such nonlinear functional approaches to produce competitive estimations.
Analysis of 0 to 10-point response scales using factorial methods: a new perspective

This paper analyses the implications of using survey response scales with 10 or more categories which are often analysed using factorial techniques such as principal components analysis. Although it is the type of metric that determines the choice of this method of analysis, these scales, despite being considered metric, lack some metric properties, such that a score of 10 in a satisfaction survey, for example, does not represent twice the satisfaction of a score of 5. Their ordinal nature also means they cannot be treated as purely categorical. Thus, having both metric and categorical properties, they allow the use of different factor analysis techniques. The second objective is to apply different factorial techniques to a given test item in order to detect potential differences in the analytical information obtained by each method. Finally, we will discuss their relative advantages and disadvantages for use with this type of survey question.
The role of counselling and other factors in compliance of postmenopausal osteoporotic patients to alendronate 70 therapy

Introduction The aim of the study was to assess the role of patient counselling, nurse assistance and effects of biochemical examinations in adherence of women with postmenopausal osteoporosis to alendronate 70 administration over 12 months of therapy. Material and methods Compliance and persistence to alendronate 70 therapy were assessed in a prospective study of 123 postmenopausal women, followed up for one year. The patients were divided into 4 groups (controls, counselled group, biochemical group and nurse assisted group) with monitoring every 6 months; in the nurse assisted group, additional phone contacts were made after 3 and 9 months of treatment. After 12 months, compliance and persistence were analysed. The medication possession ratio (MPR) was regarded as optimal when its value exceeded 80%. Results The compliance to alendronate 70 therapy was 54.03% in the control group and the mean persistence with medication was 197 days. The MPR above 80% was observed in 37.5%, and, after 1 year, 43.75% of patients were found persistent with the therapy. In the remaining groups, both compliance and persistence were higher but not statistically significantly, compared to the control group. Neither patient's age, education, diet, nor physical activity influenced the compliance with prescribed therapy. The most common reason to discontinue therapy was either its side effects or smoking. Conclusions The obtained results suggest that better adherence with medical recommendations is observed in patients who receive additional attention, e.g. counselling, biochemical tests or nursing care. The critical elements for therapy discontinuation were side effects and smoking.
Differences in the Background and Criminal Justice Characteristics of Young Black, White, and Hispanic Male Federal Prison Inmates

not only more crime but also more serious crimes than other groups. In most instances, the hypothesis that race is a significant factor in the existing disproportionate imprisonment rates was either suggested or undeniably supported (Blalock, 1967; Chambliss, 1964; Christianson, 1981; Davis, 1980; Duster, 1987; Huizinga and Elliot, 1987; Jacobs & Britt, 1979; Joe, 1987; McIntyre, 1993; Quinney, 1980; Welsing, 1991). However, researchers have argued (Blumstein, 1982; Langan, 1985; Petersilia & Turner, 1988) that the racial disparity in the prison population is due to the seriousness of crimes committed and the offender’s prior criminal history, thereby eliminating race as a
Discriminating Languages in a Probabilistic Latent Subspace

We explore a method to boost discriminative capabilities of Probabilistic Linear Discriminant Analysis (PLDA) model without losing its generative advantages. To this end, our focus is in a low-dimensional PLDA latent subspace. We optimize the model with respect to MMI (Maximum Mutual Information) and our own objective functions, which is an approximation to the detection cost function. We evaluate the performance on NIST Language Recognition Evaluation 2015. Our model trains faster and performs more accurately in comparison to both generative PLDA and discriminative LDA baselines with 12% and 4% relative improvement in the average detection cost, respectively. The proposed method is applicable for a broad range of closed-set tasks.
Jung's social psychological meanings

The latter decades of the 20th century saw C.G. Jung doubly marginalized, both by Psychology's academic establishment, for whom he was beyond the scientific pale, and by critical psychologists for whom he was, to simplify, beyond the ideological one. In this paper, I will suggest that there are two respects in which Social Psychology should reconsider his position. Firstly his own, albeit largely covert, Social Psychology, has affinities with critical Social Psychology; secondly, in the subject matter sense, Jung's own social psychological significance in the mid-20th century and beyond itself requires attention in its own right. Copyright © 2008 John Wiley & Sons, Ltd.
ChIP-PED enhances the analysis of ChIP-seq and ChIP-chip data

Motivation: Although chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) or tiling array hybridization (ChIP-chip) is increasingly used to map genome-wide–binding sites of transcription factors (TFs), it still remains difficult to generate a quality ChIPx (i.e. ChIP-seq or ChIP-chip) dataset because of the tremendous amount of effort required to develop effective antibodies and efficient protocols. Moreover, most laboratories are unable to easily obtain ChIPx data for one or more TF(s) in more than a handful of biological contexts. Thus, standard ChIPx analyses primarily focus on analyzing data from one experiment, and the discoveries are restricted to a specific biological context. Results: We propose to enrich this existing data analysis paradigm by developing a novel approach, ChIP-PED, which superimposes ChIPx data on large amounts of publicly available human and mouse gene expression data containing a diverse collection of cell types, tissues and disease conditions to discover new biological contexts with potential TF regulatory activities. We demonstrate ChIP-PED using a number of examples, including a novel discovery that MYC, a human TF, plays an important functional role in pediatric Ewing sarcoma cell lines. These examples show that ChIP-PED increases the value of ChIPx data by allowing one to expand the scope of possible discoveries made from a ChIPx experiment. Availability: http://www.biostat. jhsph.edu/∼gewu/ChIPPED/ Contact: hji@jhsph.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Fractional-order phase lead compensation for multi-rate repetitive control on three-phase PWM DC/AC inverter

For constant voltage constant frequency pulse-width modulation (PWM) inverter system, repetitive control (RC) can achieve zero steady-state tracking error for any periodic signal. Multi-rate repetitive control (MRC), which is featured by a fast system sampling rate and a reduced RC rate, is able to lower CPU computation load while achieving low tracking error and fast convergence speed. To accurately compensate the phase lag of MRC, this paper proposes a fractional-order phase lead compensation solution to further improve the tracking performance. Implemented with a Lagrange polynomial, the fractional-order phase lead compensator has more accurate and flexible phase lead compensation than traditional phase lead compensator. Experimental results are provided to show the effectiveness of the proposed fractional-order phase lead compensation.
A dynamic game of status‐seeking with public capital and an exhaustible resource

This paper explores the link between status‐seeking and the exploitation of a common property exhaustible resource. The extracted resource is an input in the production of a final good. The other input is man‐made capital, which is a second state variable. Extraction requires efforts. Economic agents derive utility not only from absolute consumption, but also from relative consumption, because the latter is a signal of relative status. We consider a differential game involving n infinitely lived agents. We compare the Markov‐perfect Nash equilibrium of this game with the outcome under cooperation. We find that the degree of status‐consciousness has important impact on the Markov‐perfect Nash equilibrium. A higher degree of status‐consciousness leads to greater excessive consumption, and lower capital accumulation. If extraction is costless, status‐consciousness has no impact on the extraction/resource‐stock ratio. However, with costly extraction, higher status‐consciousness reduces this ratio. Copyright © 2009 John Wiley & Sons, Ltd.
Diversity among the primate eosinophil-derived neurotoxin genes: a specific C-terminal sequence is necessary for enhanced ribonuclease activity.

The human eosinophil-derived neurotoxin (hEDN) is a secretory effector protein from eosinophilic leukocytes that is a member of the ribonuclease A (RNase A) family of ribonucleases. EDN is a rapidly evolving protein, accumulating non-silent mutations at a rate exceeding those of most other functional coding sequences studied in primates. Although all primate EDNs retain the structural and functional residues known to be prerequisites for ribonuclease activity, we have shown previously that recombinant EDN derived from a New World monkey sequence ( Saguinus oedipus ) had significantly less catalytic activity than the human (hEDN) ortholog.In this work, we have prepared recombinant proteins from EDN from sequences derived from orangutan (Pongo pygmaeus, oEDN) and Old World monkey (Macaca fascicularis, mcEDN) genomic DNAs, and from a second New World monkey sequence (Aotus trivirgatus, omEDN) as well. The catalytic efficiencies [ k cat/ K m (M-1s-1)] determined for both oEDN and mcEDN were similar to that determined previously for hEDN, while omEDN displayed approximately 100-fold less catalytic activity. The relative ribonuclease activities of hEDN/omEDN chimeras pointed to a C-terminal segment as crucial to the enhanced catalytic activity hEDN, and substitution of Arg 132-Ile 133 of hEDN with the Thr-Thr pair at the analogous position in omEDN resulted in an approximately 10-fold reduction in hEDN's catalytic efficiency. However, the reverse substitution, Arg-Ile for Thr-Thr in omEDN, did not enhance the catalytic efficiency of this relatively inactive protein. These results indicate that the Arg and/or Ile residues adjacent to the C-terminus are necessary (but not sufficient) for enhanced ribonuclease activity among the primate EDNs, and will permit prediction of the relative ribonuclease activities based on differences in primary structure.
Performance on direct and indirect tests of memory after mild closed head injury

Abstract Substantial anecdotal evidence suggests that mild closed head injury (C.H.I.) may result in memory impairment, but there has been little systematic research on this issue. The existing data do not provide a clear picture of whether memory is affected by mild C.H. I. primarily because of varying definitions of injury severity. In the present study, we defined mild C.H. I. using a set of objective criteria (i.e. Glasgow Coma Scale score, duration of loss of consciousness, and length of hospital stay) outlined by Rimel and her colleagues (Rimel, Giordani, Barth, Boll, & Jane, 1981). We then compared the memory performance of patients with mild C.H. I. , matched control subjects, and college students, using both indirect and direct tests of memory. When tested indirectly, C.H. I. patients displayed normal memory for individual items and new associations. When tested directly, however, their memory performance was impaired. These results show that in the early weeks after mild C.H. I. , memory is impaired an.
Under Consideration for Publication in Theory and Practice of Logic Programming Sat-based Termination Analysis Using Monotonicity Constraints over the Integers *

We describe an algorithm for proving termination of programs abstracted to systems of monotonicity constraints in the integer domain. Monotonicity constraints are a non-trivial extension of the well-known size-change termination method. While deciding termination for systems of monotonicity constraints is PSPACE complete, we focus on a well-defined and significant subset, which we call MCNP, designed to be amenable to a SAT-based solution. Our technique is based on the search for a special type of ranking function defined in terms of bounded differences between multisets of integer values. We describe the application of our approach as the back-end for the termination analysis of Java Bytecode (JBC). At the front-end, systems of monotonicity constraints are obtained by abstracting information, using two different termination analyzers: AProVE and COSTA. Preliminary results reveal that our approach provides a good trade-off between precision and cost of analysis.
Side effect monitoring for Java using bytecode rewriting

A side effect of a method in Java is a read or write operation that the method may perform on an object in the heap. Methods with side effects are more difficult to understand and to reason about than pure methods, in particular in the presence of aliasing. While both, Java and the underlying Java Virtual Machine (JVM), support specifying and checking types statically, neither supports ways of specifying and checking side effects statically or at run time. We propose a technique to specify the side effects of a method and to perform fine-grained monitoring of its side effects at run time. It relies on a domain specific contract language to specify sets of memory locations, assign read and write permissions to them, and enforce these permissions during portions of a program's execution. We present a specification and an implementation of our monitoring technique. The implementation works independently of any particular JVM by employing bytecode rewriting. The implementation ensures complete interposition while supporting all languages and language features that run on a standard JVM. We evaluate the implementation on a set of benchmarks.
A case study on mining social media data

In recent years, usage of social media websites have been soaring. This trend not only limits to personal but corporate web-sites. The latter platforms contain an enormous amount of data posted by customers or users. Without a surprise, the data in corporate social media web-sites are normally link to the products or services provided by the companies. Therefore, the data can be utilized for the sake of companies' benefits. For example, operations management research and practice with the objective to make decisions on product and process design. Nevertheless, little has been done in this area. In this connection, this paper presents a case study to showcase how social media data can be exploited. A structured approach is proposed which involves the analysis of social media comments and a statistical cluster analysis to identify the inter-relationships among important factors.