LLukas22/scidocs huggingface dataset:
Cancer treatment adherence among low-income women with breast or gynecologic cancer: a randomized controlled trial of patient navigation.

BACKGROUND
The authors implemented a controlled, randomized trial that compared 2 interventions: the provision of written resource navigation information (enhanced usual care [EUC]) versus written information plus patient navigation (TPN) aimed at improving adjuvant treatment adherence and follow-up among 487 low-income, predominantly Hispanic women with breast cancer or gynecologic cancer.


METHODS
Women were randomized to receive either TPN or EUC; and chemotherapy, radiation therapy, hormone therapy, and follow-up were assessed over 12 months. Patients with breast cancer were analyzed separately from patients with gynecologic cancer.


RESULTS
Overall adherence rates ranged from 87% to 94%, and there were no significant differences between the TPN group and the EUC group. Among women with breast cancer, 90% of the EUC group and 88% of the TPN group completed chemotherapy (14% of the EUC group and 26% of the TPN group delayed the completion of chemotherapy), 2% of the EUC group and 4% of the TPN group failed to complete chemotherapy, and 8% of the EUC group and 7% of the TPN group refused chemotherapy. Radiation treatment adherence was similar between the groups: Ninety percent of patients completed radiation (40% of the EUC group and 42% of the TPN group delayed the completion of radiation); in both groups, 2% failed to complete radiation, and 8% refused radiation. Among gynecologic patients, 87% of the EUC group and 94% of the TPN group completed chemotherapy (41% of the EUC group and 31% of the TPN group completed it with delays), 7% of the EUC group and 6% of the TPN group failed to complete chemotherapy, 6% of the EUC refused chemotherapy, 87% of the EUC group and 84% of the TPN group completed radiation (51% of the EUC group and 42% of the TPN with delays), 5% of the EUC group and 8% of the TPN group failed to complete radiation, and 8% of the EUC group and 5% of the TPN group refused radiation.


CONCLUSIONS
Treatment adherence across randomized groups was notably higher than reported in previous studies, suggesting that active telephone patient navigation or written resource informational materials may facilitate adherence among low-income, predominantly Hispanic women. Adherence also may have be facilitated by federal-state breast and cervical cancer treatment funding.
Cognition and Cultural Context. An Inquiry Into Gadamer’s Theory of Context-Dependence

This study deals with the problem of the context-dependence of thought, as dealt with by the German philosopher Hans-Georg Gadamer (1900-2002). Gadamer stresses what he sees as the difficulty of br ...
The Past, Present and Future of Text Classification

Despite over a century of research, the study of text classification is still chaotic. We examine the parameters at hand, and discuss some things that have been researched, and some things that have not.
Change in risk of Alzheimer disease over time.

OBJECTIVE
To assess whether the risk of incidence of Alzheimer disease (AD) varies over time. The increase in numbers of people at the oldest ages in the population will bring an increase in the number of people with AD. Projections of the size of the increase assume the risk of AD is constant.


METHODS
All persons age 65 or older in a biracial, geographically defined area were invited to participate in a home interview every 3 years. From the approximately 10,000 participants, stratified random samples were selected for detailed clinical evaluation. At each cycle, individuals determined free of AD in a previous cycle, either by examination or by high score on cognitive function tests, were sampled in the subsequent cycle for evaluation for incident AD. The evaluations for disease were structured and uniform across time. These analyses include 1,695 subjects evaluated for incident disease from 1997 through 2008.


RESULTS
AD developed in 360 participants. Change over time in risk of incident disease was assessed in logistic regression analyses including evaluation date and controlling for age, gender, education, race, interval from disease-free designation to evaluation for incident disease, and sample design. The time variable (in years) was not significant (odds ratio = 0.970, 95% confidence interval = 0.902 to 1.044).


CONCLUSIONS
The null relation of evaluation date to disease incidence suggests no recent change in risk of AD over time, and supports this assumption for projections of AD.
Matching Words and Pictures

We present a new approach for modeling multi-modal data sets, focusing on the specific case of segmented images with associated text. Learning the joint distribution of image regions and words has many applications. We consider in detail predicting words associated with whole images (auto-annotation) and corresponding to particular image regions (region naming). Auto-annotation might help organize and access large collections of images. Region naming is a model of object recognition as a process of translating image regions to words, much as one might translate from one language to another. Learning the relationships between image regions and semantic correlates (words) is an interesting example of multi-modal data mining, particularly because it is typically hard to apply data mining techniques to collections of images. We develop a number of models for the joint distribution of image regions and words, including several which explicitly learn the correspondence between regions and words. We study multi-modal and correspondence extensions to Hofmann’s hierarchical clustering/aspect model, a translation model adapted from statistical machine translation (Brown et al.), and a multi-modal extension to mixture of latent Dirichlet allocation (MoM-LDA). All models are assessed using a large collection of annotated images of real c ©2003 Kobus Barnard, Pinar Duygulu, David Forsyth, Nando de Freitas, David Blei and Michael Jordan. BARNARD, DUYGULU, FORSYTH, DE FREITAS, BLEI AND JORDAN scenes. We study in depth the difficult problem of measuring performance. For the annotation task, we look at prediction performance on held out data. We present three alternative measures, oriented toward different types of task. Measuring the performance of correspondence methods is harder, because one must determine whether a word has been placed on the right region of an image. We can use annotation performance as a proxy measure, but accurate measurement requires hand labeled data, and thus must occur on a smaller scale. We show results using both an annotation proxy, and manually labeled data.
Performance Analysis of Chunk-Based Resource Allocation in Multi-Cell OFDMA Systems

In the orthogonal frequency division multiple access (OFDMA) system, one of the efficient and low complex methods to allocate radio resources among multiple users is chunk-based resource allocation, which groups a number of adjacent subcarriers into a chunk and allocates resources chunk by chunk. In this paper, performance analysis of chunk-based resource allocation is studied in the multi-cell OFDMA environment. Fractional frequency reuse (FFR) is considered in the cellular OFDMA. Basically, FFR divides each cell into central and edge areas where two different values of the frequency reuse factor are assumed. This paper analytically evaluates how spectral efficiency performance is affected by system parameters, including radius ratio of the central area to the whole cell, transmit signal to noise ratio (SNR), number of users, number of subcarriers per chunk, and coherence bandwidth. The numerical results show that there exists an optimal radius ratio to achieve the highest spectral efficiency in the proposed research. The optimal radius ratio is about 0.7, which is almost irrespective of the SNR, number of users, and number of subcarriers per chunk. In other words, the sizes of the central area and the edge area of the whole cell are almost equal when achieving the optimal performance.
Incidence and predictors of silent cerebral embolism during pulmonary vein catheter ablation for atrial fibrillation.

AIMS
Left atrial catheter ablation of the pulmonary veins (PV) has evolved as an important therapeutic option for the treatment of atrial fibrillation (AF). We aimed to investigate the incidence and predictors of silent cerebral embolism associated with PV catheter ablation, detected by diffusion-weighted magnetic resonance imaging (DW-MRI).


METHODS AND RESULTS
We performed a prospective analysis of 53 consecutive patients with persistent or paroxysmal AF that underwent PV ablation and post-procedural cerebral MRI 1 day after lasso catheter-guided ostial PV ablation. Patients were analysed for possible demographical, medical, echocardiographical, and procedural predictors of embolic events. A mean of 3.5 +/- 0.5 PVs were ablated per patient. In six patients, DW-MRI depicted new clinically silent microembolism after PV ablation (11%). The number of ineffective medical antiarrhythmic agents prior to ablation procedure was significantly higher in the embolism group (3.3 +/- 0.5 vs. 2.2 +/- 1.4, P = 0.014). Coronary heart disease (CAD) was more frequent in patients with cerebral embolisms (33 vs. 2%, P = 0.031); left ventricular volume (130 +/- 12 vs. 103 +/- 26 mL, P = 0.002), and septal wall thickness (13.0 +/- 1.4 vs. 7.9 +/- 4.8 mm, P = 0.025) were significantly increased.


CONCLUSION
This study shows a high incidence of silent micro-embolic events after PV ablation. CAD, left ventricular dilatation, and hypertrophy were potential predictors of this complication.
Greta. A Believable Embodied Conversational Agent

A wide area of research on Autonomous Agents is presently devoted to the construction of ECAs, Embodied Conversational Agents (Cassell et al. 2000; Pelachaud & Poggi, 2001). An ECA is a virtual Agent that interacts with a User or another Agent through multimodal communicative behavior. It has a realistic or cartoon-like body and it can produce spoken discourse and dialogue, use voice with appropriate prosody and intonation, exhibit the visemes corresponding to the words uttered, make gestures, assume postures, produce facial expression and communicative gaze behavior. An ECA is generally a Believable Agent, that is, one able to express emotion (Bates, 1994) and to exhibit a given personality (Loyall & Bates, 1997). But, according to recent literature (Trappl & Payr, in press; de Rosis et al., in press a), an Agent is even more believable if it can behave in ways typical of given cultures, and if it has a personal communicative style (Canamero & Aylett, in press; Ruttkay et al., in press). This is, in fact, what makes a human a human. More, an ECA must be interactive, that is, take User and context into account, so as to tailor interaction onto the particular User and context at hand. In an ECA that fulfils these constraints the communicative output, that is, the particular combination of multimodal communicative signals displayed (words, prosody, gesture, face, gaze, body posture and movements) is determined by different aspects: a. contents to communicate, b. emotions, c. personality, d. culture, e. style, f. context and User sensitivity. At each moment of a communicative interaction, all of these aspects combine with each other to determine what the Agent will say, and how. In this paper we show how these aspects of an ECA can be modeled in terms of a belief and goal view of human communicative behavior. We then illustrate Greta, an ECA following these principles which is being implemented in the context of the EU project MagiCster.
Predictive value of beat-to-beat QT variability index across the continuum of left ventricular dysfunction: competing risks of noncardiac or cardiovascular death and sudden or nonsudden cardiac death.

BACKGROUND
The goal of the present study was to determine the predictive value of beat-to-beat QT variability in heart failure patients across the continuum of left ventricular dysfunction.


METHODS AND RESULTS
Beat-to-beat QT variability index (QTVI), log-transformed heart rate variance, normalized QT variance, and coherence between heart rate variability and QT variability have been measured at rest during sinus rhythm in 533 participants of the Muerte Subita en Insuficiencia Cardiaca heart failure study (mean age, 63.1±11.7; men, 70.6%; left ventricular ejection fraction >35% in 254 [48%]) and in 181 healthy participants from the Intercity Digital Electrocardiogram Alliance database. During a median of 3.7 years of follow-up, 116 patients died, 52 from sudden cardiac death (SCD). In multivariate competing risk analyses, the highest QTVI quartile was associated with cardiovascular death (subhazard ratio, 1.67 [95% CI, 1.14-2.47]; P=0.009) and, in particular, with non-SCD (subhazard ratio, 2.91 [1.69-5.01]; P<0.001). Elevated QTVI separated 97.5% of healthy individuals from subjects at risk for cardiovascular (subhazard ratio, 1.57 [1.04-2.35]; P=0.031) and non-SCD in multivariate competing risk model (subhazard ratio, 2.58 [1.13-3.78]; P=0.001). No interaction between QTVI and left ventricular ejection fraction was found. QTVI predicted neither noncardiac death (P=0.546) nor SCD (P=0.945). Decreased heart rate variability rather than increased QT variability was the reason for increased QTVI in the present study.


CONCLUSIONS
Increased QTVI because of depressed heart rate variability predicts cardiovascular mortality and non-SCD but neither SCD nor extracardiac mortality in heart failure across the continuum of left ventricular dysfunction. Abnormally augmented QTVI separates 97.5% of healthy individuals from heart failure patients at risk.
Simplification Orderings: Histrory of Results

We focus on termination proof techniques for unconditional term rewriting systems using simplification orderings. Throughout the last few years numerous (simplification) orderings have been defined by various authors. This paper provides an overview on different aspects of these techniques. Additionally, we introduce a formalism that allows clear representations of orderings.
Fuzzy querying: issues and perspectives

Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital Mathematics Library
Financial Stress and Outcomes after Acute Myocardial Infarction

BACKGROUND
Little is known about the association between financial stress and health care outcomes. Our objective was to examine the association between self-reported financial stress during initial hospitalization and long-term outcomes after acute myocardial infarction (AMI).


MATERIALS AND METHODS
We used prospective registry evaluating myocardial infarction: Event and Recovery (PREMIER) data, an observational, multicenter US study of AMI patients discharged between January 2003 and June 2004. Primary outcomes were disease-specific and generic health status outcomes at 1 year (symptoms, function, and quality of life (QoL)), assessed by the Seattle Angina Questionnaire [SAQ] and Short Form [SF]-12. Secondary outcomes included 1-year rehospitalization and 4-year mortality. Hierarchical regression models accounted for patient socio-demographic, clinical, and quality of care characteristics, and access and barriers to care.


RESULTS
Among 2344 AMI patients, 1241 (52.9%) reported no financial stress, 735 (31.4%) reported low financial stress, and 368 (15.7%) reported high financial stress. When comparing individuals reporting low financial stress to no financial stress, there were no significant differences in post-AMI outcomes. In contrast, individuals reporting high financial stress were more likely to have worse physical health (SF-12 PCS mean difference -3.24, 95% Confidence Interval [CI]: -4.82, -1.66), mental health (SF-12 MCS mean difference: -2.44, 95% CI: -3.83, -1.05), disease-specific QoL (SAQ QoL mean difference: -6.99, 95% CI: -9.59, -4.40), and be experiencing angina (SAQ Angina Relative Risk = 1.66, 95%CI: 1.19, 2.32) at 1 year post-AMI. While 1-year readmission rates were increased (Hazard Ratio = 1.50; 95%CI: 1.20, 1.86), 4-year mortality was no different.


CONCLUSIONS
High financial stress is common and an important risk factor for worse long-term outcomes post-AMI, independent of access and barriers to care.
Superconducting RF coils for clinical MR imaging at low field.

RATIONALE AND OBJECTIVES
A number of recent reports in the MRI literature have established that substantial signal-to-noise ratio (SNR) gains can be achieved with small samples or low resonance frequencies, through the use of high-quality factor high-temperature superconducting (HTS) RF receive coils. We show the application of HTS coils to the imaging of human subjects with improved SNR compared with copper coils.


MATERIALS AND METHODS
HTS coils were constructed from 7.62-cm YBa2Cur3O7-delta thin films on LaAlO3 substrate and cooled in a liquid nitrogen cryostat. Human and phantom images were acquired on a 0.2-T scanner. The SNR improvements compared with equivalent-sized copper coils are reported.


RESULTS
SNR gains of 2.8-fold and 1.4-fold were observed in images of a phantom acquired with an HTS coil versus a room temperature copper coil and a liquid nitrogen-cooled copper coil, respectively. Preliminary results suggest higher image quality can be obtained in vivo with an HTS coil compared with copper coil imaging. Images of human orbit, brain, temporomandibular joint, and wrist are presented.


CONCLUSION
The experimental results show that benefits can be expected from application of HTS surface coils in human MR imaging with low-field scanners. These potential benefits justify the continued development of practical HTS coil imaging systems despite the considerable technical difficulties involved in cryostat and coil design.
An Inter-Cloud Meta-Scheduling (ICMS) Simulation Framework: Architecture and Evaluation

Inter-cloud is an approach that facilitates scalable resource provisioning across multiple cloud infrastructures. In this paper, we focus on the performance optimization of Infrastructure as a Service (IaaS) using the meta-scheduling paradigm to achieve an improved job scheduling across multiple clouds. We propose a novel inter-cloud job scheduling framework and implement policies to optimize performance of participating clouds. The framework, named as Inter-Cloud Meta-Scheduling (ICMS), is based on a novel message exchange mechanism to allow optimization of job scheduling metrics. The resulting system offers improved flexibility, robustness and decentralization. We implemented a toolkit named “Simulating the Inter-Cloud” (SimIC) to perform the design and implementation of different inter-cloud entities and policies in the ICMS framework. An experimental analysis is produced for job executions in inter-cloud and a performance is presented for a number of parameters such as job execution, makespan, and turnaround times. The results highlight that the overall performance of individual clouds for selected parameters and configuration is improved when these are brought together under the proposed ICMS framework.
Analytics for the internet of things

This paper presents ongoing work on an approach to remotely observe the usage of connected products, analyze collected data and dynamically refine the observation mechanisms for better data. This allows for iteratively working towards the most elaborate, meaningful, and relevant representation of usage behavior in the form of structured and semantically annotated data traces. We show an implementation of the approach in the D'PUIS framework.
THE ECONOMIC EFFECTS OF THE PROTESTANT REFORMATION: TESTING THE WEBER HYPOTHESIS IN THE GERMAN LANDS

Following Max Weber, many theories have hypothesized that Protestantism should have favored economic development. With its religious heterogeneity, the Holy Roman Empire presents an ideal testing ground for this hypothesis. Using population gures of 272 cities in the years 1300–1900, I nd no effects of Protestantism on economic growth. The nding is precisely estimated, robust to the inclusion of various controls, and does not depend on data selection or small sample size. Denominational differences in fertility behavior and literacy are unlikely to be major confounding factors. Protestantism has no effect when interacted with other likely determinants of economic development. Instrumental variables estimates, considering the potential endogeneity of religious choice, are similar to the OLS results. (JEL: N13, N33, O11, Z12) The editor in charge of this paper was Fabrizio Zilibotti. Acknowledgments: I thank Daron Acemoglu, Regina Baar-Cantoni, Robert Barro, Jeremiah Dittmar, Camilo Garcia-Jimeno, Claudia Goldin, Tim Guinnane, Martin Hellwig, Elhanan Helpman, James Robinson, Holger Spamann, Eike Wolgast and Noam Yuchtman for helpful comments and suggestions, as well as seminar audiences at Bocconi, Brown, the EEA Annual Meeting (Barcelona), IIES Stockholm, Harvard, Mannheim, MPI Bonn, Munich, Regensburg, UPF, and Yale. Financial support by the Economic History Association, the Minda de Gunzburg Center for European Studies and the Studienstiftung des Deutschen Volkes is gratefully acknowledged. Jessica Fronk, Eda Karesin, Niklas Neckel, and Annekathrin Schmitt provided excellent research assistance. E-mail: cantoni@lmu.de Journal of the European Economic Association Preprint prepared on 24 June 2014 using jeea.cls v1.0.
DEVELOPMENT AND VERIFICATION OF A DISPLACEMENT-BASED ADAPTIVE PUSHOVER PROCEDURE

In this paper, an innovative displacement-based adaptive pushover procedure, whereby a set of laterally applied displacements, rather than forces, is monotonically applied to the structure, is presented. The integrity of the analysis algorithm is verified through an extensive comparative study involving static and dynamic nonlinear analysis of 12 reinforced concrete buildings subjected to four diverse acceleration records. It is shown that the new approach manages to provide much improved response predictions, throughout the entire deformation range, in comparison to those obtained by force-based methods. In addition, the proposed algorithm proved to be numerically stable, even in the highly inelastic region, whereas the additional modelling and computational effort, with respect to conventional pushover procedures, is negligible. This novel adaptive pushover method is therefore shown to constitute an appealing displacement-based tool for structural assessment, fully in line with the recently introduced deformationand performanceoriented trends in the field of earthquake engineering.
Computation of order and volume fill rates for a base stock inventory control system with heterogeneous demand to investigate which customer class gets the best service

We consider a base stock inventory control system serving two customer classes whose demands are generated by two independent compound renewal processes. We show how to derive order and volume fill rates of each class. Based on assumptions about first order stochastic dominance we prove when one customer class will get the best service. That theoretical result is validated through a series of numerical experiments which also reveal that it is quite robust.