LLukas22/scidocs huggingface dataset:
Women's Poetry in the Enlightenment: The Making of a Canon, 1730-1820@@@Women's Poetry, Late Romantic to Late Victorian: Gender and Genre, 1830-1900

Acknowledgements Introduction I.Armstrong & V.Blain PART ONE: CHANGING GENRES AND CODES ACROSS THE CENTURY: WAYS OF THEORISING WOMEN'S POETRY Misrepresentation: Codes of Affect and Politics in 19th-Century Women's Poetry I.Armstrong The Whip Signature: Violence, Feminism and Women Poets C.Walker Caroline Norton, 'The Picture of Sappho' Y.Prins PART TWO: THE MARKET AND THE POETESS: COMMERCIAL AND AESTHETIC VALUE The Poet and the Profits: Felicia Hemans and the Literary Marketplace P.R.Feldman Bijous Beyond Possession: The Prima Donnas of L.E.L.'s Album Poems C.E.Lawford Rewriting A History of the Lyre : Letitia Landon, Elizabeth Barrett Browning, and the (Re)Construction of the 19th-Century Woman Poet L.H.Peterson PART THREE: LESBIAN POETICS Sexual Politics of the (Victorian) Closet or : No Sex Please - We're Poets V.Blain 'I Leave a Page Half-Writ': Narrative Discoherence in Michael Field's Underneath the Bough R.P.Fletcher Contradictions? - Amy Levy: Feminism and Semitic Discourse E.Francis PART FOUR: COLONIAL POETICS, NATIONAL IDENTITY Hearing Her Own Voice: Defective Acoustics in Colonial India M.Mukherjee Reviving Laurence Hope E.Marx Hemans and Her American Heirs: Nineteenth-Century Women's Poetry and National Identity T.Lootens PART FIVE: REMAKING DISCOURSES: GROTESQUE, DEVOTIONAL, SCIENTIFIC 'All Mouth and Trousers': Christina Rossetti's Grotesque and Abjected Bodies K.Burlinson Mysteries Beyond Angels in Christina Rossetti's From House to Home L.E.Marshall Theology and the Jewish Woman Poet C.Scheinberg Victorian Women Poets and Scientific Narratives H.Groth PART SIX: REREADING FORGOTTEN POETS Adelaide Procter: A Poetics of Reserve and Passion G.Gregory Why is This Woman Still Missing? Emily Pfeiffer, Victorian Poet K.Hickock Endnote C.Kaplan Index
Parametric (modified least squares) and non-parametric (Theil–Sen) linear regressions for predicting biophysical parameters in the presence of measurement errors

Remote sensing often involves the estimation of in situ quantities from remote measurements. Linear regression, where there are no nonlinear combinations of regressors, is a common approach to this prediction problem in the remote sensing community. A review of recent remote sensing articles using univariate linear regression indicates that in the majority of cases, ordinary least squares (OLS) linear regression has been applied, with approximately half the articles using the in situ observations as regressors and the other half using the inverse regression with remote measurements as regressors. OLS implicitly assume an underlying normal structural data model to arrive at unbiased estimates of the response. OLS regression can be a biased predictor in the presence of measurement errors when the regression problem is based on a functional rather than structural data model. Parametric (Modified Least Squares) and non-parametric (Theil-Sen) consistent predictors are given for linear regression in the presence of measurement errors together with analytical approximations of their prediction confidence intervals. Three case studies involving estimation of leaf area index from nadir reflectance estimates are used to compare these unbiased estimators with OLS linear regression. A comparison to Geometric Mean regression, a standardized version of Reduced Major Axis regression, is also performed. The Theil–Sen approach is suggested as a potential replacement of OLS for linear regression in remote sensing applications. It offers simplicity in computation, analytical estimates of confidence intervals, robustness to outliers, testable assumptions regarding residuals and requires limited a priori information regarding measurement errors. Crown Copyright D 2005 Published by Elsevier Inc. All rights reserved.
Repetitive bilateral arm training and motor cortex activation in chronic stroke: a randomized controlled trial.

CONTEXT
Reorganization in central motor networks occurs during early recovery from hemiparetic stroke. In chronic stroke survivors, specific rehabilitation therapy can improve upper extremity function.


OBJECTIVE
To test the hypothesis that in patients who have chronic motor impairment following stroke, specific rehabilitation therapy that improves arm function is associated with reorganization of cortical networks.


DESIGN, SETTING, AND PATIENTS
A randomized controlled clinical trial conducted in a US ambulatory rehabilitation program with 21 patients (median [IQR], 50.3 [34.8-77.3] months after unilateral stroke). Data were collected between 2001 and 2004.


INTERVENTIONS
Patients were randomly assigned to bilateral arm training with rhythmic auditory cueing (BATRAC) (n = 9) or standardized dose-matched therapeutic exercises (DMTE) (n = 12). Both were conducted for 1 hour, 3 times a week, for 6 weeks.


MAIN OUTCOME MEASURES
Within 2 weeks before and after the intervention, brain activation during elbow movement assessed by functional magnetic resonance imaging (fMRI) and functional outcome assessed using arm function scores.


RESULTS
Patients in the BATRAC group but not in the DMTE group increased hemispheric activation during paretic arm movement (P = .03). Changes in activation were observed in the contralesional cerebrum and ipsilesional cerebellum (P = .009). BATRAC was associated with significant increases in activation in precentral (P<.001) and postcentral gyri (P = .03) and the cerebellum (P<.001), although 3 BATRAC patients showed no fMRI changes. Considering all patients, there were no differences in functional outcome between groups. When only BATRAC patients with fMRI response were included (n = 6), BATRAC improved arm function more than DMTE did (P = .02).


CONCLUSIONS
These preliminary findings suggest that BATRAC induces reorganization in contralesional motor networks and provide biological plausibility for repetitive bilateral training as a potential therapy for upper extremity rehabilitation in hemiparetic stroke.
Literacy in the library : negotiating the spaces between order and desire

Foreword Preface Books that are True Stories that are Made Up: School Libraries and the Politics of Reading Resistance: Chavez Elementary Congruence: Crest Hills Elementary Liminality: Roosevelt Elementary Toward a Geopolitics of School Libraries Bibliography Index
Aripiprazole, Ziprasidone and Quetiapine in the treatment of first-episode nonaffective psychosis: A 12-week randomized, flexible-dose, open-label trial

BACKGROUND
Differences among antipsychotics in terms of effectiveness have turned out to be a topic of increasing research interest, although comparisons between the different second generation antipsychotics (SGAs) are scarce. We aimed to compare the clinical effectiveness in the short-term of Aripiprazole, Ziprasidone and Quetiapine in the treatment of first-episode schizophrenia-spectrum disorders.


METHOD
From October 2005 to January 2011, a prospective, randomized, open-label study was undertaken. 202 first-episode drug-naïve patients were randomly assigned to Aripiprazole (N = 78), Ziprasidone (N = 62), or Quetiapine (N = 62) and followed-up for 3 months. The primary effectiveness measure was all-cause of treatment discontinuation. In addition, an analysis based on intention-to-treat populations was conducted in the analysis for clinical efficacy.


RESULTS
The overall dropout rate at 3 months was small (13.86%). The treatment discontinuation rate differed significantly between treatment groups (Aripiprazole = 23.1%, Ziprasidone = 37.1% and Quetiapine = 61.3%) (χ(2) = 21.334; p < 0.001). Insufficient efficacy in the group of Quetiapine is the main reason for discontinuation rate differences (χ(2) = 20.223; p < 0.001). The mean time to all-cause discontinuation was significantly different between groups (LogRank = 23.467 p < 0.001). Aripiprazole and Quetiapine were associated with a greater depressive symptoms improvement (p = 0.043). The profile of side-effects varies between treatments. Patients on Quetiapine were less likely to be prescribed hypnotics.


CONCLUSIONS
Patients treated with Quetiapine had a higher risk of treatment discontinuation in the short-term after a first episode due to insufficient efficacy. Establishing differences between SGAs may help clinicians in prescribing decisions for the treatment of individuals presenting with first-episode schizophrenia.
Improvement of dyskinesias with L-dopa infusion in advanced Parkinson's disease.

OBJECTIVES
We wanted to investigate whether continuous intrajejunal levodopa-carbidopa intestinal gel (LCIG) therapy has an antidyskinetic effect in patients with Parkinson's disease (PD) and troublesome dyskinesias. We also sought to examine the effect of LCIG therapy on motor function and health-related quality of life (HRQoL).


MATERIALS AND METHODS
This open-label pilot study used a single group pre-post design with follow-up at 6 months. Nine patients with PD who reported to spend at least 3 h per day in on with troublesome dyskinesia were included. The patients were examined at baseline using clinical and self-assessment measures and then switched from peroral/transdermal pharmacotherapy to LCIG therapy. Data collection was repeated 6 months after the pharmaceutical intervention. Nonparametric statistical methods were used for data analyses.


RESULTS
The mean time spent in on with troublesome dyskinesia per day after 6 months of LCIG therapy decreased by 47% (P < 0.05). This observation was paralleled by a 112% increase in mean time spent in on without troublesome dyskinesia (P < 0.01). Patient self-assessment of dyskinesia intensity on the visual analog scale displayed a 90% reduction of mean dyskinesia intensity (P < 0.01) and patients also exhibited less dyskinesia during standardized levodopa tests. Furthermore, we noted improvements in motor function and HRQoL.


CONCLUSIONS
In this pilot study, we found indications that LCIG therapy has a substantial antidyskinetic effect and could be an alternative also for PD patients with dyskinesias as a major symptom. However, further studies with blinded evaluation and larger numbers of patients are warranted to confirm the findings.
Controlling Unstructured Mesh Partitions for Massively Parallel Simulations

Parallel simulations at extreme scale require that the mesh is distributed across a large number of processors with equal work load and minimum interpart communications. A number of algorithms have been developed to meet these goals, e.g., graph/hypergraph and coordinatebased methods. However, the global implementation of current approaches can fail on very large core counts, which is resolved by combining global and local partitioning using multiple parts per processor. The other limitation of graph/hypergraph-based partitioning is that it uses one type of mesh entity as graph nodes; thus, the balance of other mesh entities may not be optimal. In the case of three-dimensional (3-D) linear finite element analysis, it is common to select mesh regions (elements) as partition objects. In current examples, the regions are well balanced up to 163,840 parts for a 1.07 billion element mesh, while the vertices have an imbalance which is as high as 19.52%. Two methods are developed that work in conjunction with graph/hypergraph-based procedures to provide improved partitions. Example computations executed on an IBM Blue Gene/P system using up to 163,840 cores demonstrate the usefulness of the procedures, particularly for time-critical calculations where individual cores may be lightly loaded in terms of the number of mesh entities per core. The algorithms presented in this paper reduced the vertex imbalance from 17.8% to 4.97% for a partition with 131,072 parts and accelerated the equation solution phase of the finite element analysis by 10.4%.
Exponentiated power Lindley distribution

A new generalization of the Lindley distribution is recently proposed by Ghitany et al. [1], called as the power Lindley distribution. Another generalization of the Lindley distribution was introduced by Nadarajah et al. [2], named as the generalized Lindley distribution. This paper proposes a more generalization of the Lindley distribution which generalizes the two. We refer to this new generalization as the exponentiated power Lindley distribution. The new distribution is important since it contains as special sub-models some widely well-known distributions in addition to the above two models, such as the Lindley distribution among many others. It also provides more flexibility to analyze complex real data sets. We study some statistical properties for the new distribution. We discuss maximum likelihood estimation of the distribution parameters. Least square estimation is used to evaluate the parameters. Three algorithms are proposed for generating random data from the proposed distribution. An application of the model to a real data set is analyzed using the new distribution, which shows that the exponentiated power Lindley distribution can be used quite effectively in analyzing real lifetime data.
Discrepancy between subjective and objective sleep disturbances in early- and moderate-stage Alzheimer disease.

OBJECTIVE
Sleep disturbances such as nocturnal awakenings frequently occur in demented elderly persons and can contribute to depression, cognitive impairment, and caregiver burden. Recognizing sleep disturbances at an early stage of the disease progress is a first prerequisite of intervention and monitoring of progress. This study aimed to investigate the reliability of subjective sleep reports in early- and moderate-stage Alzheimer dementia (AD), by investigating whether they differ from matched healthy normal comparison groups with respect to the discrepancy of subjective and objective sleep estimates.


MEASUREMENTS
Subjective sleep was assessed using the Pittsburgh Sleep Quality Index, the Sleep Disorders Questionnaire, and the Athens Insomnia Scale. Objective sleep was estimated using actigraphy.


RESULTS
As compared with the normal comparison group (N = 26), AD patients (N = 55) complained less of insomnia, while their objective sleep estimates indicated, in fact, more disturbed sleep, including a longer sleep onset latency and a lower sleep efficiency. Regression analyses aimed at predicting actigraphic sleep parameter estimates from their subjective counterparts showed significant predictive value of only very few subjective sleep parameters. Subjective reports of both patients and the normal comparison group had significant value in predicting actigraphic indices of total sleep time and bedtime. In addition, subjective reports of the normal comparison group, but not of patients, were of value to predict actigraphic indices of sleep onset latency, average sleep bout duration, and sleep efficiency.


CONCLUSION
The results show that the value of sleep questionnaires is limited in early- and moderate-stage AD. Actigraphy may be essential to ensure that sleep problems do not go undetected and untreated.
Vulnerability to climate change in the Arctic: A case study from Arctic Bay, Canada

This paper develops a vulnerability-based approach to characterize the human implications of climate change in Arctic Bay, Canada. It focuses on community vulnerabilities associated with resource harvesting and the processes through which people adapt to them in the context of livelihood assets, constraints, and outside influences. Inuit in Arctic Bay have demonstrated significant adaptability in the face of changing climate-related exposures. This adaptability is facilitated by traditional Inuit knowledge, strong social networks, flexibility in seasonal hunting cycles, some modern technologies, and economic support. Changing Inuit livelihoods, however, have undermined certain aspects of adaptive capacity, and have resulted in emerging vulnerabilities in certain sections of the community. r 2006 Elsevier Ltd. All rights reserved.
Timing of surgery for complete proximal hamstring avulsion injuries: successful clinical outcomes at 6 weeks, 6 months, and after 6 months of injury.

BACKGROUND
Avulsion of the proximal hamstring origin is well documented, and surgical treatment is advocated for complete avulsions.


PURPOSE
To compare the return to preinjury level of sport and the complexity of surgery in athletes undergoing surgical intervention for complete proximal hamstring avulsions within 6 weeks, 6 months, and after 6 months of injury.


STUDY DESIGN
Case series; Level of evidence, 4.


METHODS
This was the largest case series from a tertiary referral center reported in the literature. A total of 112 athletes were included, with complete proximal avulsion injuries confirmed on MRI scans; 63 patients (56.3%) were high-level athletes. Patients were divided into subgroups depending on the timing of surgical intervention: "early" was defined within 6 weeks, "delayed" within 6 weeks to 6 months, and "late" after 6 months. All patients were surgically explored and repaired with the aim of comparing the timing between each group and the return to preinjury sport. All patients underwent an individualized rehabilitation protocol. There was no loss to follow-up. The primary outcome measure was the return to preinjury level sports activity.


RESULTS
A total of 108 patients (96.4%) returned to sport. In the early intervention group, the average time of return to play was 16 weeks, 9 weeks faster than the delayed group and 13 weeks faster than the late group. There were 2 partial reruptures in those with delayed intervention—both athletes retired from competitive sport but were recreationally active. Two other athletes recovered well but retired from playing at all levels. Twelve athletes (2 in the early intervention group, 5 in the delayed, 5 in the late) were delayed by local nerve symptoms. Only 2 cases required further exploration.


CONCLUSION
Early surgical intervention was associated with good clinical outcomes and a quicker return to sport; however, delaying the diagnosis can lead to prolonged morbidity and an increased likelihood of complications.
Exercise and well-being: a review of mental and physical health benefits associated with physical activity.

PURPOSE OF REVIEW
This review highlights recent work evaluating the relationship between exercise, physical activity and physical and mental health. Both cross-sectional and longitudinal studies, as well as randomized clinical trials, are included. Special attention is given to physical conditions, including obesity, cancer, cardiovascular disease and sexual dysfunction. Furthermore, studies relating physical activity to depression and other mood states are reviewed. The studies include diverse ethnic populations, including men and women, as well as several age groups (e.g. adolescents, middle-aged and older adults).


RECENT FINDINGS
Results of the studies continue to support a growing literature suggesting that exercise, physical activity and physical-activity interventions have beneficial effects across several physical and mental-health outcomes. Generally, participants engaging in regular physical activity display more desirable health outcomes across a variety of physical conditions. Similarly, participants in randomized clinical trials of physical-activity interventions show better health outcomes, including better general and health-related quality of life, better functional capacity and better mood states.


SUMMARY
The studies have several implications for clinical practice and research. Most work suggests that exercise and physical activity are associated with better quality of life and health outcomes. Therefore, assessment and promotion of exercise and physical activity may be beneficial in achieving desired benefits across several populations. Several limitations were noted, particularly in research involving randomized clinical trials. These trials tend to involve limited sample sizes with short follow-up periods, thus limiting the clinical implications of the benefits associated with physical activity.
IRIT at e-Risk

In this paper, we present the method we developed when participating to the e-Risk pilot task. We use machine learning in order to solve the problem of early detection of depressive users in social media relying on various features that we detail in this paper. We submitted 4 models which differences are also detailed in this paper. Best results were obtained when using a combination of lexical and statistical features.
Laparoscopic versus open distal pancreatectomy: a clinical and cost-effectiveness study

Laparoscopic distal pancreatectomy (LDP) is being increasingly performed with some concerns regarding the cost of the minimally invasive approach. The purpose of this study was to assess the cost-effectiveness of LDP versus open distal pancreatectomy (ODP). A retrospective clinical and cost-comparison analysis was performed for patients who underwent LDP vs. OPD between 2005 and 2011. Data considered for the comparison analysis were: operative costs (surgical procedure, operative time, blood transfusions), postoperative costs (laboratory testing, hospital stay, complication management, readmissions), and overall costs. Fifty-one distal pancreatectomies (laparoscopic = 35, open = 16) were performed during the study period. The median operative time was 200 (range, 120–420) min for LDP vs. 225 (range, 120–460) min for ODP (p = 0.93). Median blood loss was 200 (range, 50–900) mL for LDP vs. 394 (range, 75–2000) mL for ODP (p = 0.038). Median hospital stay was 7 (range, 3–25) days in the laparoscopic group vs. 11 (range, 5–46) days in the open group (p = 0.007). Complication rate was 40% for LDP vs. 69% in ODP (p = 0.075). Postoperative intervention was required in 11% of patients after LDP vs. 31% after ODP (p = 0.12). The average operative, postoperative, and overall cost was £6039 (range, £4276–£9500), £4547 (range, £1299–£13937), £10587 (range, £6508–£20303) vs. £5231 (range, £3409–£9330), £10094 (range, £2665–£39291), £15324 (range, £7209–£47484) for the LDP and ODP groups, respectively (p = 0.033; p = 0.006; p = 0.197). We showed that LDP is feasible and safe without having a negative impact on cost. Extensive experience in pancreatic and laparoscopic surgery is required to optimize surgical outcomes.
Providing Transparency In The Business Of Software: A Modeling Technique For Software Supply Networks

One of the most significant paradigm shifts of software business is that individual organizations no longer compete as single entities but as complex dynamic supply networks of interrelated participants that provide blends of software design, development, implementation, publication and services. Understanding these intricate software supply networks is a difficult task for decision makers in software businesses. This paper outlines a modeling technique for representing and reasoning about software supply networks. We show, by way of a worked case study, how modeling software supply networks might allow managers to identify new business opportunities, visualize liability and responsibilities in a supply network, and how it can be used as a planning tool for product software distribution.