LLukas22/scidocs huggingface dataset:
Quality of life at the end of primary treatment of breast cancer: first results from the moving beyond cancer randomized trial.

BACKGROUND
During the last decade, survival rates for breast cancer have increased as a result of earlier detection and increased use of adjuvant therapy. Limited data exist on the psychosocial aspects of the transitional period between the end of primary treatment and survivorship. We investigated the baseline psychosocial status of women enrolled in a randomized trial testing two psychosocial interventions for women at the end of primary treatment.


METHODS
Participants, identified within 1 month after surgery (registration), provided demographic information and limited measures of quality of life. They were followed until they finished primary treatment (enrollment), at which time they completed a mailed baseline survey that included standardized measures of quality of life (including standardized scales of physical and emotional functioning), mood, symptoms, and sexual functioning. A total of 558 patients (mean age = 56.9 years) were enrolled in the study between July 1, 1999, and June 30, 2002. Health outcomes were examined according to treatment received: mastectomy with and without chemotherapy, and lumpectomy with and without chemotherapy. All statistical tests were two-sided.


RESULTS
Among all treatment groups, patients who had a mastectomy had the poorest physical functioning at registration (P<.001) and at enrollment (P=.05). At enrollment, mood and emotional functioning were similar among all patients, with no differences by type of treatment received. At enrollment, symptoms, including muscle stiffness, breast sensitivity, aches and pains, tendency to take naps, and difficulty concentrating, were common among patients in all groups and were statistically significantly associated with poor physical functioning and emotional well-being. Sexual functioning was worse for women who received chemotherapy than for those who did not, regardless of type of surgery (P<.001).


CONCLUSIONS
At the end of primary treatment for breast cancer, women in all treatment groups report good emotional functioning but report decreased physical functioning, particularly among women who have a mastectomy or receive chemotherapy. Clinical interventions to address common symptoms associated with treatment should be considered to improve physical and emotional functioning at the end of primary treatment for breast cancer.
Efficacy, safety and tolerability of two dosing regimens in adolescent schizophrenia: double-blind study.

BACKGROUND
Effective treatments for adolescent schizophrenia are needed.


AIMS
To compare efficacy and safety of two dosing regimens of risperidone.


METHOD
Double-blind, 8-week study. Patients, 13-17 years, with an acute episode of schizophrenia, randomised 1:1 to risperidone 1.5-6.0 mg/day (regimen A; n=125) or 0.15-0.6 mg/day (regimen B; n=132).


TRIAL REGISTRATION NUMBER
NCT00034749.


RESULTS
Mean total Positive and Negative Syndrome Scale (PANSS) score improved significantly (P<0.001; effect size=0.49) from baseline to end-point for regimen A (mean=96.4 (s.d.=15.39) to mean=72.8 (s.d.=22.52)) compared with regimen B (mean=93.3 (s.d.=14.14) to mean=80.8 (s.d.=24.33)). Treatment-emergent adverse events occurred in 74% (regimen A) and 65% (regimen B) of patients; 4% of patients overall discontinued for adverse events. Mean change in body weight was 3.2 kg (s.d.=3.49) for regimen A and 1.7 kg (s.d.=3.29) for regimen B.


CONCLUSIONS
Adolescent patients in the regimen A group showed greater improvement in total PANSS compared with the regimen B group. Treatment was well tolerated.
Explaining credit default swap spreads with the equity volatility and jump risks of individual firms

A structural model with stochastic volatility and jumps implies specific relationships between observed equity returns and credit spreads. This paper explores such effects in the credit default swap (CDS) market. We use a novel approach to identify the realized jumps of individual equities from high frequency data. Our empirical results suggest that volatility risk alone predicts 50 percent of the variation in CDS spreads, while jump risk alone forecasts 19 percent. After controlling for credit ratings, macroeconomic conditions, and firms’ balance sheet information, we can explain 77 percent of the total variation. Moreover, the pricing effects of volatility and jump measures vary consistently across investment-grade and high-yield entities. The estimated nonlinear effects of volatility and jumps are in line with the model-implied relationships between equity returns and credit spreads. JEL Classification Numbers: G12, G13, C14.
Pair Learning: With an Eye Toward Future Success

Pair programming is a practice in which two programmers work collaboratively at one computer on the same design, algorithm, or code. Prior research indicates that pair programmers produce higher quality code in essentially half the time taken by solo programmers. Pair programming is becoming increasingly popular in industry and in university curricula. An experiment was run at North Carolina State University over a period of one and a half years to assess the efficacy of pair programming as an alternative educational technique in an introductory programming course. We found that the retention rate of the students in the introductory programming courses is equal to or better than that of the students in the solo programming courses. Most students show a positive attitude towards collaborative programming, and students in paired classes continue to be successful in subsequent programming classes that require solo programming. Pair programming also leads to a reduced workload for the course staff in terms of grading, questions answered and teaching effort.
Learning Local Shape Descriptors from Part Correspondences with Multiview Convolutional Networks

We present a new local descriptor for 3D shapes, directly applicable to a wide range of shape analysis problems such as point correspondences, semantic segmentation, affordance prediction, and shape-to-scan matching. The descriptor is produced by a convolutional network that is trained to embed geometrically and semantically similar points close to one another in descriptor space. The network processes surface neighborhoods around points on a shape that are captured at multiple scales by a succession of progressively zoomed-out views, taken from carefully selected camera positions. We leverage two extremely large sources of data to train our network. First, since our network processes rendered views in the form of 2D images, we repurpose architectures pretrained on massive image datasets. Second, we automatically generate a synthetic dense point correspondence dataset by nonrigid alignment of corresponding shape parts in a large collection of segmented 3D models. As a result of these design choices, our network effectively encodes multiscale local context and fine-grained surface detail. Our network can be trained to produce either category-specific descriptors or more generic descriptors by learning from multiple shape categories. Once trained, at test time, the network extracts local descriptors for shapes without requiring any part segmentation as input. Our method can produce effective local descriptors even for shapes whose category is unknown or different from the ones used while training. We demonstrate through several experiments that our learned local descriptors are more discriminative compared to state-of-the-art alternatives and are effective in a variety of shape analysis applications.
Distributed-Poole-Frenkel modeling of anomalous resistance scaling and fluctuations in phase-change memory (PCM) devices

Understanding the effect of size scaling on resistance window in phase-change memory (PCM) requires accurate models for conduction in the amorphous phase of the active chalcogenide material. This work presents a new conduction model for the chalcogenide amorphous phase, describing Poole-Frenkel (PF) transport through localized states with distributed activation energy. The new model accounts for the scaling dependence of resistance, activation energy and current noise. Scaling perspectives for resistance window and noise amplitude at nodes F = 45 − 8 nm are finally shown.
DEEP: A Deployable Energy Efficient 802.15.4 MAC Protocol for Sensor Networks

IEEE 802.15.4 is a standard designed for low data rate wireless personal area networks (WPANs) intended to provide connectivity to mobile devices. Such devices have considerable storage, energy, and communication constraints. However, they can be used in a variety of applications like home/office automation, healthcare, environmental control and more. To extend the lifetime of the WPAN, we propose a backward compatible energy efficient 802.15.4 MAC protocol (DEEP) for beacon-enabled sensor networks. The implementation of DEEP requires modifications to the Superframe Guaranteed Time Slot (GTS) distribution. This modification optimizes the GTS distribution providing reduced energy consumption. We implemented the improvements to the IEEE 802.15.4 protocol using real sensor nodes in a wireless network. Specifically, we conducted an energy study of DEEP's acknowledgment-based GTS descriptor distribution scheme and compared the results with the standard implementation. Experiments show that DEEP reduces energy consumption up to nearly 50% when 7 devices allocate guaranteed time slots descriptors during normal communication.
Behavioral and ERP measures of attentional bias to threat in the dot-probe task: poor reliability and lack of correlation with anxiety

The dot-probe task is often considered a gold standard in the field for investigating attentional bias to threat. However, serious issues with the task have been raised. Specifically, a number of studies have demonstrated that the traditional reaction time (RT) measure of attentional bias to threat in the dot-probe task has poor internal reliability and poor test-retest reliability. In addition, although threatening stimuli capture attention in other paradigms, attentional bias to threat has not usually been found in typical research participants in the dot-probe task. However, when attention is measured in the dot-probe task with the N2pc component of the event-related potential waveform, substantial attentional orienting to threat is observed, and the internal reliability is moderate. To provide a rigorous comparison of the reliability of this N2pc measure and the conventional behavioral measure, as well as to examine the relationship of these measures to anxiety, the present study examined the N2pc in conjunction with RT in the dot-probe task in a large sample of participants (N = 96). As in previous studies, RT showed no bias to threatening images across the sample and exhibited poor internal reliability. Moreover, this measure did not relate to trait anxiety. By contrast, the N2pc revealed a significant initial shift of attention to threat, and this measure was internally reliable. However, the N2pc was not correlated with trait anxiety, indicating that it does not provide a meaningful index of individual differences in anxiety in the dot-probe task. Together, these results indicate a serious need to develop new tasks and methods to more reliably investigate attentional bias to threat and its relationship to anxiety in both clinical and non-clinical populations.
Efficacy and safety of creatine supplementation in childhood-onset systemic lupus erythematosus: a randomized, double-blind, placebo-controlled, crossover trial.

INTRODUCTION
Creatine supplementation has emerged as a promising non-pharmacological therapeutic strategy to counteract muscle dysfunction and low lean mass in a variety of conditions, including in pediatric and rheumatic diseases. The objective of this study was to examine the efficacy and safety of creatine supplementation in childhood systemic lupus erythematosus (C-SLE).


METHODS
C-SLE patients with mild disease activity (n = 15) received placebo or creatine supplementation in a randomized fashion using a crossover, double-blind, repeated-measures design. The participants were assessed at baseline and after 12 weeks in each arm, interspersed by an eight-week washout period. The primary outcomes were muscle function, as assessed by a battery of tests including one-maximum repetition (1-RM) tests, the timed-up-and-go test, the timed-stands test, and the handgrip test. Secondary outcomes included body composition, biochemical markers of bone remodeling, aerobic conditioning, quality of life, and physical capacity. Possible differences in dietary intake were assessed by three 24-hour dietary recalls. Muscle phosphorylcreatine content was measured through phosphorus magnetic resonance spectroscopy (31 P-MRS). The safety of the intervention was assessed by laboratory parameters, and kidney function was measured by (51)Cr-EDTA clearance. Additionally, self-reported adverse events were recorded throughout the trial.


RESULTS
Intramuscular phosphorylcreatine content was not significantly different between creatine and placebo before or after the intervention (creatine-Pre: 20.5 ± 2.6, Post: 20.4 ± 4.1, placebo-Pre: 19.8 ± 2.0; Post: 20.2 ± 3.2 mmol/kg wet muscle; p = 0.70 for interaction between conditions). In addition, probably as a consequence of the lack of change in intramuscular phosphorylcreatine content, there were no significant changes between placebo and creatine for any muscle function and aerobic conditioning parameters, lean mass, fat mass, bone mass, and quality of life scores (p > 0.05). The (51)Cr-EDTA clearance was not altered by creatine supplementation and no side effects were noticed.


CONCLUSION
A 12-week creatine supplementation protocol at 0.1 g/kg/d is well tolerated and free of adverse effects but did not affect intramuscular phosphorylcreatine, muscle function, free-fat mass or quality of life in non-active C-SLE patients.


TRIAL REGISTRATION
Clinicaltrials.gov number: NCT01217320.
A 0.22-to-2.4V-input fine-grained fully integrated rational buck-boost SC DC-DC converter using algorithmic voltage-feed-in (AVFI) topology achieving 84.1% peak efficiency at 13.2mW/mm2

Most existing switched-capacitor (SC) DC-DC converters only offer a few voltage conversion ratios (VCRs), leading to significant efficiency fluctuations under wide input/output dynamics (e.g. up to 30% in [1]). Consequently, systematic SC DC-DC converters with fine-grained VCRs (FVCRs) become attractive to achieve high efficiency over a wide operating range. Both the Recursive SC (RSC) [2,3] and Negator-based SC (NSC) [4] topologies offer systematic FVCR generations with high conductance, but their binary-switching nature fundamentally results in considerable parasitic loss. In bulk CMOS, the restriction of using low-parasitic MIM capacitors for high efficiency ultimately limits their achievable power density to <1mW/mm2. This work reports a fully integrated fine-grained buck-boost SC DC-DC converter with 24 VCRs. It features an algorithmic voltage-feed-in (AVFI) topology to systematically generate any arbitrary buck-boost rational ratio with optimal conduction loss while achieving the lowest parasitic loss compared with [2,4]. With 10 main SC cells (MCs) and 10 auxiliary SC cells (ACs) controlled by the proposed reference-selective bootstrapping driver (RSBD) for wide-range efficient buck-boost operations, the AVFI converter in 65nm bulk CMOS achieves a peak efficiency of 84.1% at a power density of 13.2mW/mm2 over a wide range of input (0.22 to 2.4V) and output (0.85 to 1.2V).
Depression and anxiety disorders in children and adolescents with velo-cardio-facial syndrome (VCFS)

Velo-cardio-facial syndrome (VCFS) is characterized by a high prevalence of depression and anxiety disorders in childhood and adolescence. These disorders are a source of great impairment in everyday functioning, as well as important risk factors for the emergence of later psychotic disorders. Impairment in daily and social functioning as well as loss of IQ throughout growth are also are well-established correlates of the VCFS. This study aimed to confirm the high prevalence of depression and anxiety disorders. The second objective was to ascertain the correlation between anxious and depressive symptoms and the decline in adaptive and cognitive functioning. A total of 73 children and adolescents with VCFS (mean age 11.9 years) underwent psychiatric evaluation. Subjects were further divided into four age groups: ages 6–9, 9–12, 12–15 and 15–18 years. Assessments measuring intelligence, anxious and depressive symptoms, and adaptation skills reported by parents were submitted to a subsample of 62 children (mean age 12.2 years); 62.2 % of the sample showed an anxiety disorder, specific phobia being the most represented at all ages. Lifetime depression concerned 27 % of the sample, peaking at age 12–15 years. Anxious and depressive symptoms and low IQ were significantly associated with low adaptive functioning. Anxiety and depression are common disorders in children and adolescents with VCFS and have a great impact on adaptive functioning. Clinicians should pay great attention to diagnosis and treatment.
A Logical Reconstruction of Reachability

In this paper we discuss reachability analysis for infinite-state systems. Infinite-state systems are formalized using transition systems over a first-order structure. We establish a common ground relating a large class of algorithms by analyzing the connections between the symbolic representation of transition systems and formulas used in various reachability algorithms. Our main results are related to the so-called guarded assignment systems.
Limits to the diffusion of innovation A literature review and integrative model

Abstract Purpose – The purpose of this article is to integrate existing theoretical explanations for innovation diffusion across the disciplines of marketing, innovation and sociology research. Design/methodology/approach – Literature reviews and historical case analysis were used to support an integrative model. Findings – Innovation diffusion is affected by technological, social and learning “conditions” while operating in the contextual “domain” of the individual, community or market/industry. Research limitations/implications – The model is drawn from new product development and marketing theory. Both fields are dominated by the assumption that users adopt new technology to maximise their utility. Also, the model does not integrate the overlapping effects of the different contexts and domains. Practical implications – The article provides a sound model for orienting new product development strategy, since it may reduce the risk of low and slow user adoption of radical innovations due, for instance, to their technological, social, and cognitive differences with former products. A second critical managerial implication is that technological, social and learning conditions clearly have an effect on marketing actions and competitive strategies. Originality/value – The article provides a literature review of resistance to technology adoption through a multidisciplinary lens.
Advertising and Media Market Concentration *

In media markets, the value of advertisement exposure depends on circulation, and media consumers’ valuation is affected by advertising. This paper analyzes media market competition in a duopoly framework. There exist symmetric and asymmetric equilibria in terms of firm size, and sometimes a natural monopoly may emerge . There is less scope for asymmetry when products are more differentiated or of higher intrinsic quality. Some media exhibit public good features. This increases the scope for asymmetry when consumers value advertising positively. If their valuation is negative only symmetric equilibria exist. Regulations limiting price competition increase the scope for natural monopoly. JEL Classification: D43, L11, L13, L15, M37
Artificial intelligence: think again

Social and cultural conventions are an often-neglected aspect of intelligent-machine development.
The Good, the Bad, and the Ugly: An Empirical Study of Implicit Type Conversions in JavaScript

Most popular programming languages support situations where a value of one type is converted into a value of another type without any explicit cast. Such implicit type conversions, or type coercions, are a highly controversial language feature. Proponents argue that type coercions enable writing concise code. Opponents argue that type coercions are error-prone and that they reduce the understandability of programs. This paper studies the use of type coercions in JavaScript, a language notorious for its widespread use of coercions. We dynamically analyze hundreds of programs, including real-world web applications and popular benchmark programs. We find that coercions are widely used (in 80.42% of all function executions) and that most coercions are likely to be harmless (98.85%). Furthermore, we identify a set of rarely occurring and potentially harmful coercions that safer subsets of JavaScript or future language designs may want to disallow. Our results suggest that type coercions are significantly less evil than commonly assumed and that analyses targeted at real-world JavaScript programs must consider coercions. 1998 ACM Subject Classification D.3.3 Language Constructs and Features, F.3.2 Semantics of Programming Languages, D.2.8 Metrics
Efficient 3 D Pose Estimation and 3 D Model Retrieval

Retrieving 3D models for objects in 2D images is an increasingly important problem, driven by the recent emergence of large databases of 3D models such as ShapeNet [1]. However, this task is challenging for two main reasons: (1) 2D images and 3D models have considerably different representations and characteristics, making it hard to compare them. (2) The appearance of objects can significantly vary with the pose, but it is in general unknown and, thus, multiple poses have to be considered, which is very inefficient. To overcome these problems, in [2] we proposed first to predict the object’s pose and then to use the estimated pose as a prior to retrieve 3D models from a database. In the following, we give a short summary of the approach in Sec. II and a sketch of results in Sec. III. For more details, we refer to [2].