LLukas22/scidocs huggingface dataset:
Timeline Generation through Evolutionary Trans-Temporal Summarization

We investigate an important and challenging problem in summary generation, i.e., Evolutionary Trans-Temporal Summarization (ETTS), which generates news timelines from massive data on the Internet. ETTS greatly facilitates fast news browsing and knowledge comprehension, and hence is a necessity. Given the collection of time-stamped web documents related to the evolving news, ETTS aims to return news evolution along the timeline, consisting of individual but correlated summaries on each date. Existing summarization algorithms fail to utilize trans-temporal characteristics among these component summaries. We propose to model trans-temporal correlations among component summaries for timelines, using inter-date and intra-date sentence dependencies, and present a novel combination. We develop experimental systems to compare 5 rival algorithms on 6 instinctively different datasets which amount to 10251 documents. Evaluation results in ROUGE metrics indicate the effectiveness of the proposed approach based on trans-temporal information.
Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems

Recent studies focus primarily on low energy consumption or execution time for task scheduling with precedence constraints in heterogeneous computing systems. In most cases, system reliability is more important than other performance metrics. In addition, energy consumption and system reliability are two conflicting objectives. A novel bi-objective genetic algorithm (BOGA) to pursue low energy consumption and high system reliability for workflow scheduling is presented in this paper. The proposed BOGA offers users more flexibility when jobs are submitted to a data center. On the basis of real-world and randomly generated application graphs, numerous experiments are conducted to evaluate the performance of the proposed algorithm. In comparison with excellent algorithms such as multi-objective heterogeneous earliest finish time (MOHEFT) and multi-objective differential evolution (MODE), BOGA performs significantly better in terms of finding the spread of compromise solutions. © 2016 Elsevier Inc. All rights reserved.
A retrieval model for both recognition and recall.

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Relationship of quality of life scores with baseline characteristics and outcomes in the African-American heart failure trial.

BACKGROUND
To characterize the quality of life (QOL) in the African-American Heart Failure Trial (A-HeFT) for factors associated with baseline score, relation of score to prognosis, and response to therapy with a fixed-dose combination of isosorbide dinitrate/hydralazine (FDC I/H). Limited data exist on QOL scores in African-American heart failure patients or on the prognostic value of theses scores in any population. Finally, the effect of FDC I/H on QOL scores, particularly in A-HeFT, is not known.


METHODS AND RESULTS
A-HeFT randomized 1050 African-American patients with New York Heart Association (NYHA) Class III-IV heart failure and systolic dysfunction. QOL measurements using Minnesota Living with Heart Failure Questionnaire (MLHFQ) were done at baseline and 3-month intervals. At baseline, worse MLHFQ scores were associated with younger age, female sex, greater body mass index, nonischemic etiology, high heart rate and NYHA Class, low systolic blood pressure, and chronic obstructive pulmonary disease. Both baseline and change in MLHFQ score were associated with a higher risk for combined all-cause mortality or heart failure hospitalization (baseline P < .0001, change at 3 months P=.001, and at 6 months P=.0008), but not mortality. Treatment with FDC I/H significantly improved MLHFQ score compared with placebo.


CONCLUSIONS
In A-HeFT, baseline QOL (MLHFQ) scores and change in score were predictive of combined HF morbidity and mortality outcomes. FDC I/H consistently improved QOL scores in A-HeFT compared with placebo.
A randomized controlled trial to increase cancer screening among attendees of community health centers.

BACKGROUND
We assessed the efficacy of the Cancer Screening Office Systems (Cancer SOS), an intervention designed to increase cancer screening in primary care settings serving disadvantaged populations.


METHODS
Eight primary care clinics participating in a county-funded health insurance plan in Hillsborough County, Fla, agreed to take part in a cluster-randomized experimental trial. The Cancer SOS had 2 components: a cancer-screening checklist with chart stickers that indicated whether specific cancer-screening tests were due, ordered, or completed; and a division of office responsibilities to achieve high screening rates. Established patients were eligible if they were between the ages of 50 and 75 years and had no contraindication for screening. Data abstracted from charts of independent samples collected at baseline (n = 1,196) and at a 12-month follow-up (n = 1,237) was used to assess whether the patient was up-to-date on one or more of the following cancer-screening tests: mammogram, Papanicolaou (Pap) smear, or fecal occult blood testing (FOBT).


RESULTS
In multivariate analysis that controlled for baseline screening rates, secular trends, and other patient and clinic characteristics, the intervention increased the odds of mammograms (odds ratio [OR] = 1.62, 95% confidence interval [CI], 1.07-9.78, P = .023) and fecal occult blood tests (OR = 2.5, 95% CI, 1.65-4.0, P <.0001) with a trend toward greater use of Pap smears (OR = 1.57, 95% CI, 0.92-2.64, P = .096).


CONCLUSIONS
The Cancer SOS intervention significantly increased rates of cancer screening among primary care clinics serving disadvantaged populations. The Cancer SOS intervention is one option for providers or policy makers who wish to address cancer related health disparities.
Examples of finite $p$-divisible sets of MHS

We provide some examples which give evidence to the conjectures contained in my paper "Finiteness of $p$-Divisible Sets of Multiple Harmonic Sums" (math.NT/0303043). All the main theoretical results can be found in that paper.
SCPOR: An elastic workflow scheduling algorithm for services computing

Due to the complexity of scientific processes, computing and storage resources in a scientific workflow are often needed on an uneven basis, thus, the demand of resources is elastically changing during a run of a workflow. Most existing workflow scheduling algorithms only consider a computing environment in which the number of compute resources is bounded. Resources assigned to a workflow cannot be automatically determined on demand of the size of the workflow and are not released to the environment until an execution of the workflow completes. The salient features of service-oriented computing have brought a new opportunity to schedule workflows on resources with elastically changing demand, as they allow resources to scale on demand as usage changes through dynamic provisioning. To address this issue, we firstly formalize a model of a service-oriented computing environment and a workflow graph representation for the environment. Then, we propose SCPOR, a scientific workflow scheduling algorithm that is able to schedule workflows in need of elastically changing compute resources. Our extensive experiments and comparisons for compute-intensive and data-intensive workflows have shown that SCPOR not only outperforms several representative workflow scheduling algorithms in optimizing workflow execution time, but also enables resources to scale elastically during workflow execution.
N-terminal Pro-Brain Natriuretic Peptide And Atrial Fibrillation

NT-proBNP is produced from both atria and ventricles. The primary regulation of production is at the synthesis level. The plasma half-life of NT-proBNP is 60-120 min. Cutoff value of NT-proBNP for diagnosis of heart failure is 125 pg/ml in the age group below 75 years and 450 pg/ml in the age group above 75 years. It increases in atrial fibrillation and drops after successful cardioversion. High levels predict development of atrial fibrillation (AF) in healthy persons with sinus rhythm (SR). Some studies concluded that baseline level predicts maintenance of SR after cardioversion of AF while some others found that it did not. Many studies have proven that it is useful in monitoring rhythm stability after cardioversion of AF. Since it is increased in many other conditions, out of which some may also cause AF, care must be taken before ascribing changes in its level to AF alone.
Grand Research Challenges in Computer Science in Brazil

In May 2006, the Brazilian Computer Society proposed five grand research challenges in computer science in Brazil. The society's goal was to foster long-term planning and research in computer science, enhance cooperation with other scientific domains, and provide input to public R&D policymakers in Brazil.
A Robust Front Tracking Method: Verification and Application to Simulation of the Primary Breakup of a Liquid Jet

This paper presents a method for simulating compressible two-phase flow by combining the best features of a front tracking method (FT) and a ghost fluid method (GFM). In contrast to GFM, a Riemann problem is solved to find the ghost states. And in contrast to FT, the front states used in the Riemann problem are not dynamic variables but are obtained by extrapolation from the interior (grid) states. Pressure jumps associated with surface tension forces are modeled in the Riemann problem. This method handles surface tension forces in a sharp way and avoids artificially spreading surface tension forces over the computational grid as used in continuous surface models. To handle the topological bifurcations of a three-dimensional (3D) surface mesh in the FT, an improved locally grid-based method (LGB) is proposed. The method is robust and minimizes the numerical mass diffusion due to interface reconstruction. The performance of the method is assessed from a broad set of test problems including compressible Kelvin–Helmholtz instabilities, parasitic currents, drop oscillation, bubble-shock interaction, and Rayleigh instabilities. The proposed new method is shown to be comparable to either of its constituent methods by themselves. The advantage of the new method lies in the removal of late time instabilities associated with both of the constituent methods when applied to the 3D simulation of a high speed jet.
A new methodology for quantifying bubble flow rates in deep water using splitbeam echosounders: Examples from the Arctic offshore NW-Svalbard

Quantifying marine methane fluxes of free gas (bubbles) from the seafloor into the water column is of importance for climate related studies, for example, in the Arctic, reliable methodologies are also of interest for studying man-made gas and oil leakage systems at hydrocarbon production sites. Hydroacoustic surveys with singlebeam and nowadays also multibeam systems have been proven to be a successful approach to detect bubble release from the seabed. A number of publications used singlebeam echosounder data to indirectly quantify free gas fluxes via empirical correlations between gas fluxes observed at the seafloor and the hydroacoustic response. Others utilize the hydroacoustic information in an inverse modeling approach to derive bubble fluxes. Here, we present an advanced methodology using data from splitbeam echosounder systems for analyzing gas release water depth (>100m). We introduce a new MATLAB-based software for processing and interactively editing data and we present how bubble-size distribution, bubble rising speed and the model used for calculating the backscatter response of single bubbles influence the final gas flow rate calculations. As a result, we highlight the need for further investigations on how large, wobbly bubbles, bubble clouds, and multi-scattering influence target strength. The results emphasize that detailed studies of bubble-size distributions and rising speeds need to be performed in parallel to hydroacoustic surveys to achieve realistic mediated methane flow rate and flux quantifications.
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues

This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners’ boredom, confusion, and frustration by monitoring conversational cues, gross body language, and facial features. The sensed cognitive-affective states are used to select AutoTutor’s pedagogical and motivational dialogue moves and to drive the behavior of an embodied pedagogical agent that expresses emotions through verbal content, facial expressions, and affective speech. The first version, called the Supportive AutoTutor, addresses the presence of the negative states by providing empathetic and encouraging responses. The Supportive AutoTutor attributes the source of the learners’ emotions to the material or itself, but never directly to the learner. In contrast, the second version, called the Shakeup AutoTutor, takes students to task by directly attributing the source of the emotions to the learners themselves and responding with witty, skeptical, and enthusiastic responses. This paper provides an overview of our theoretical framework, and the design of the Supportive and Shakeup tutors.
Profile Analysis of Simulator Sickness Symptoms: Application to Virtual Environment Systems

Flight simulators are examples of virtual environment (VE) systems that often give rise to a form of discomfort resembling classical motion sickness. The major difference between simulator sickness and other forms of motion sickness is that the former exhibits more oculomotor-related symptoms and far less actual vomiting. VEs of the future are likely to include more compellingly realistic visual display systems, and these systems can also be expected to produce adverse symptoms. The implications of simulator sickness for future uses of VEs include adverse consequences for users' safety and health, user acceptance, training effectiveness, and overall system performance. Based on data from a factor analysis of over 1000 Navy and Marine Corps pilot simulation exposures, a new scoring procedure for simulator sickness has recently been developed (Lane & Kennedy, 1988; Kennedy, Lane, Berbaum, & Lilienthal, 1992). The factor analytic scoring key provides subscales for oculomotor stress (eyestrain), nausea, and disorientation. Simulators are being examined in terms of these factor profiles to identify causes of simulator sickness. This approach could also be used in evaluating motion sickness-like symptomatology that occurs in connection with the use of VEs. This paper describes the use of the multifactor scoring of the Simulator Sickness Questionnaire (SSQ) in diagnosing sources of simulator sickness in individual simulators. Reanalysis by this new methodology was employed to standardize existing simulator sickness survey data and to determine whether relationships existed that were missed by the more traditional scoring approaches.
A prospective, randomised, controlled multicentre study comparing cervical disc replacement with anterior cervical decompression and fusion

Total cervical artificial disc replacement (TDR) simulates normal disc structure, thus avoiding the drawbacks of anterior cervical decompression and fusion (ACDF). This prospective, randomized, controlled and multicentre study aimed to evaluate clinical and radiographic outcomes by comparing cervical disc replacement using Mobi-C disc prostheses with ACDF. This prospective, randomized, controlled and multicentre study consisted of 111 patients undergoing single-level Mobi-C disc prosthesis replacement (TDR group, n = 55) or ACDF (n = 56) from February 2008 to November 2009 at 11 medical centres across China. Patients were assessed before surgery, at seven days postoperation and one, three, six, 12, 24, 36 and 48 months postoperation. Clinical and neurological outcome was determined by measuring the Japanese Orthopaedic Association (JOA) scores, visual analogue scale (VAS) and Neck Disability Index (NDI). Static and dynamic radiographs were obtained of the cervical curvature, the functional spinal unit (FSU) angle and range of motion (ROM) of the cervical spine, FSU angle and treated and adjacent segments. A total of 111 patients were included and randomly assigned to either Mobi-C disc prosthesis replacement or ACDF. JOA, VAS and NDI showed statistically significant improvements 48 months after surgery (P < 0.05). ROM, FSU angle, treated segment and adjacent segments in the Mobi-C group were not significantly different before and after replacement (p > 0.05). ROM in the ACDF group was significantly reduced at one month and remained so throughout the follow-up. By 48-months, more ACDF patients required secondary surgery (four of 56 patients). Although ACDF may increase the risk of additional surgery, clinical outcomes indicated that both Mobi-C artificial cervical disc replacement and ACDF were reliable. Radiographic data showed that ROM of the cervical spine, FSU angle and treated and adjacent segments were relatively better reconstructed and maintained in the Mobi-C group compared with those in the ACDF group.
Reconsidering the Specialist-Generalist Paradigm in Niche Breadth Dynamics: Resource Gradient Selection by Canada Lynx and Bobcat

The long-standing view in ecology is that disparity in overall resource selection is the basis for identifying niche breadth patterns, with species having narrow selection being classified "specialists" and those with broader selection being "generalists". The standard model of niche breadth characterizes generalists and specialists as having comparable levels of overall total resource exploitation, with specialists exploiting resources at a higher level of performance over a narrower range of conditions. This view has gone largely unchallenged. An alternate model predicts total resource use being lower for the specialized species with both peaking at a comparable level of performance over a particular resource gradient. To reconcile the niche breadth paradigm we contrasted both models by developing range-wide species distribution models for Canada lynx, Lynx canadensis, and bobcat, Lynx rufus. Using a suite of environmental factors to define each species' niche, we determined that Canada lynx demonstrated higher total performance over a restricted set of variables, specifically those related to snow and altitude, while bobcat had higher total performance across most variables. Unlike predictions generated by the standard model, bobcat level of exploitation was not compromised by the trade-off with peak performance, and Canada lynx were not restricted to exploiting a narrower range of conditions. Instead, the emergent pattern was that specialist species have a higher total resource utilization and peak performance value within a smaller number of resources or environmental axes than generalists. Our results also indicate that relative differences in niche breadth are strongly dependent on the variable under consideration, implying that the appropriate model describing niche breadth dynamics between specialists and generalists may be more complex than either the traditional heuristic or our modified version. Our results demonstrate a need to re-evaluate traditional, but largely untested, assumptions regarding resource utilization in species with broad and narrow niches.
Radiation fibrosis syndrome: neuromuscular and musculoskeletal complications in cancer survivors.

Radiation-induced toxicity is a major cause of long-term disability after cancer treatment. Radiation fibrosis describes the insidious pathologic fibrotic tissue sclerosis that can occur in response to radiation exposure. Radiation fibrosis syndrome describes the myriad clinical manifestations of progressive fibrotic tissue sclerosis resulting from radiation treatment. Radiation-induced damage can include "myelo-radiculo-plexo-neuro-myopathy," causing muscle weakness and dysfunction and contributing to neuromuscular injury. Similarly, radiation damage to neuromuscular structures contributes to radiation-induced trismus and cervical dystonia in head and neck cancer survivors. This narrative review discusses the pathophysiology, anatomy, evaluation, and treatment of neuromuscular, musculoskeletal, and functional disorders that can result as late effects of radiation treatment. Rehabilitation medicine physicians with extensive training in neuromuscular and musculoskeletal medicine as well as in the principles of functional restoration are uniquely positioned to help lead efforts to improve the quality of life for cancer survivors with radiation fibrosis syndrome.