LLukas22/scidocs huggingface dataset:
Influence Factors Analysis and Improvement Method on Efficiency of Wireless Power Transfer Via Coupled Magnetic Resonance

Wireless power transfer via coupled magnetic resonance has many merits, which has become one of the hot research spots in recent years. The progress of technology in the field of wireless power transfer is remarkable, but its power and efficiency vary with the impacts of the distance, orientation, and center deviation on transmission. To suppress the fast decrease of the transfer efficiency, the equivalent circuit model of wireless power transfer and mutual inductance theory were presented. The results provided critical insight into the design of improving efficiency using a novel method of frequency tracking. The measurement results showed that the efficiency decreased greatly with the distance, orientation and center deviation at fixed-resonance frequency, and the efficiency decreased slowly using adapted resonance frequency. The proposed method is proved through the experiment, and it can provide an effective way to improve the power and efficiency of wireless power transfer.
Enhanced implementation of low back pain guidelines in general practice: study protocol of a cluster randomised controlled trial

BACKGROUND
Evidence-based clinical practice guidelines may improve treatment quality, but the uptake of guideline recommendations is often incomplete and slow. Recently new low back pain guidelines are being launched in Denmark. The guidelines are considered to reduce personal and public costs. The aim of this study is to evaluate whether a complex, multifaceted implementation strategy of the low back pain guidelines will reduce secondary care referral and improve patient outcomes compared to the usual simple implementation strategy.


METHODS/DESIGN
In a two-armed cluster randomised trial, 100 general practices (clusters) and 2,700 patients aged 18 to 65 years from the North Denmark region will be included. Practices are randomly allocated 1:1 to a simple or a complex implementation strategy. Intervention practices will receive a complex implementation strategy, including guideline facilitator visits, stratification tools, and quality reports on low back pain treatment. Primary outcome is referral to secondary care. Secondary outcomes are pain, physical function, health-related quality of life, patient satisfaction with care and treatment outcome, employment status, and sick leave. Primary and secondary outcomes pertain to the patient level. Assessments of outcomes are blinded and follow the intention-to-treat principle. Additionally, a process assessment will evaluate the degree to which the intervention elements will be delivered as planned, as well as measure changes in beliefs and behaviours among general practitioners and patients.


DISCUSSION
This study provides knowledge concerning the process and effect of an intervention to implement low back pain guidelines in general practice, and will provide insight on essential elements to include in future implementation strategies in general practice.


TRIAL REGISTRATION
Registered as NCT01699256 on ClinicalTrials.gov.
Sexual behavior and selected health measures: men and women 15-44 years of age, United States, 2002.

OBJECTIVE
This report presents national estimates of several measures of sexual behavior among males and females 15-44 years of age in the United States in 2002, as collected in the 2002 National Survey of Family Growth (NSFG). These data are relevant to demographic and public health concerns, including fertility and sexually transmitted diseases among teenagers and adults. Data from the 2002 NSFG are compared with previous national surveys.


METHODS
The 2002 NSFG was conducted by the Centers for Disease Control and Prevention's (CDC) National Center for Health Statistics (NCHS) and is based on in-person, face-to-face interviews with a national sample of 12,571 males and females in the household population of the United States. The measures of sexual behavior presented in this report were collected using Audio Computer-Assisted Self-Interviewing (ACASI), in which the respondent enters his or her own answers into a laptop computer without telling them to an interviewer.


RESULTS
Among adults 25-44 years of age, 97 percent of men and 98 percent of women have had vaginal intercourse; 90 percent of men and 88 percent of women have had oral sex with an opposite-sex partner; and 40 percent of men and 35 percent of women have had anal sex with an opposite-sex partner. About 6.5 percent of men 25-44 years of age have had oral or anal sex with another man. Based on a differently worded question, 11 percent of women 25-44 years of age reported having had a sexual experience with another woman. The public health significance of the findings is described.
Usage of a mobile social learning platform with virtual badges in a primary school

This study presents and examines SamEx, a mobile learning system used by 305 students in formal and informal learning in a primary school in Singapore. Students use SamEx in situ to capture media such as pictures, video clips and audio recordings, comment on them, and share them with their peers. In this paper we report on the experiences of students in using the application throughout a one-year period with a focus on self-directedness, quality of contributions, and answers to contextual question prompts. We examine how the usage of tools such as SamEx predicts students' science examination results, discuss the role of badges as an extrinsic motivational tool, and explore how individual and collaborative learning emerge. Our research shows that the quantity and quality of contributions provided by the students in SamEx predict the end-year assessment score. With respect to specific system features, contextual answers given by the students and the overall likes received by students are also correlated with the end-year assessment score. © 2015 Elsevier Ltd. All rights reserved.
Longitudinal outcomes in a cohort of Ugandan children randomized to artemether-lumefantrine versus dihydroartemisinin-piperaquine for the treatment of malaria.

BACKGROUND
Artemisinin-based combination therapy (ACT) has become the standard of care for the treatment of uncomplicated Plasmodium falciparum malaria. Although several ACT regimens are approved, data guiding optimal choices of ACTs are limited. We compared short- and long-term outcomes in a cohort of young Ugandan children randomized to 2 leading ACTs.


METHODS
Overall, 312 children were randomized to artemether-lumefantrine or dihydroartemisinin-piperaquine (DP) at the time of the first episode of uncomplicated malaria (median age, 10.5 months). The same treatment was given for all subsequent episodes of uncomplicated malaria and children were followed until they reached 5 years of age. The cohort included a subgroup that was human immunodeficiency virus (HIV) infected (n = 44) or HIV exposed (n = 175) and prescribed trimethoprim-sulfamethoxazole (TMP-SMX) prophylaxis. Outcomes included time to recurrent malaria following individual treatments and the overall incidences of treatments for malaria, complicated malaria, and hospitalizations.


RESULTS
Among children not prescribed TMP-SMX prophylaxis, 4443 treatments for malaria were given over 790 person-years following randomization. Treatment with DP was associated with a lower hazard of recurrent malaria over the 84 days after treatment (hazard ratio, 0.66; 95% confidence interval [CI], .61-.70; P < .001). Children randomized to DP had a lower incidence of all treatments for malaria (incidence rate ratio [IRR], 0.85; 95% CI, .75-.96; P = .01), complicated malaria (IRR, 0.12; 95% CI, .04-.39; P < .001), and hospitalizations (IRR, 0.31; 95% CI, .13-.77; P = .01). Among children prescribed TMP-SMX prophylaxis, there were no significant differences in longitudinal outcomes.


CONCLUSIONS
Compared to artemether-lumefantrine, the use of DP to treat uncomplicated malaria delayed the time to recurrent malaria and reduced the incidences of treatments for malaria, complicated malaria, and hospitalizations.


CLINICAL TRIALS REGISTRATION
NCT00527800.
Aripiprazole (ABILIFY MAINTENA®): A Review of Its Use as Maintenance Treatment for Adult Patients with Schizophrenia

Aripiprazole (ABILIFY®) is an atypical antipsychotic drug that is proposed to act via partial agonism of dopamine D2 receptors. Trials with oral aripiprazole have shown that, compared with some other atypical antipsychotics, aripiprazole is associated with fewer metabolic disturbances and has a favourable cardiovascular tolerability profile. Recently, an intramuscular long-acting injectable (LAI) depot formulation of aripiprazole (ABILIFY MAINTENA®) (aripiprazole LAI) has been approved for use as a treatment for schizophrenia in adults. The efficacy of aripiprazole LAI as a maintenance treatment for schizophrenia has been demonstrated in randomized clinical trials. In the trials, aripiprazole LAI was more effective than placebo, and noninferior to oral aripiprazole, in delaying relapse and in reducing relapse rates in schizophrenia. Aripiprazole LAI was generally well tolerated, with a tolerability profile consistent with that of oral aripiprazole. Thus, aripiprazole LAI is a valuable new treatment option for adult patients with schizophrenia. It may be of particular use for patients stable on oral aripiprazole who would prefer, or are likely to benefit from, a long-acting formulation.
Applying Real-Time Scheduling Theory to the Synchronous Data Flow Model of Computation

Schedulability analysis techniques that are well understood within the real-time scheduling community are applied to the analysis of recurrent real-time workloads that are modeled using the synchronous data-flow graph (SDFG) model. An enhancement to the standard SDFG model is proposed, that permits the specification of a real-time latency constraint between a specified input and a specified output of an SDFG. A technique is derived for transforming such an enhanced SDFG to a collection of traditional 3-parameter sporadic tasks, thereby allowing for the analysis of systems of SDFG tasks using the methods and algorithms that have previously been developed within the real-time scheduling community for the analysis of systems of such sporadic tasks. The applicability of this approach is illustrated by applying prior results from real-time scheduling theory to construct an exact preemptive uniprocessor schedulability test for collections of recurrent processes that are each represented using the enhanced SDFG model. 1998 ACM Subject Classification C.3 Real-Time and Embedded Systems, C.3 Signal Processing Systems
Improvement of voltage linearity in high-/spl kappa/ MIM capacitors using HfO/sub 2/-SiO/sub 2/ stacked dielectric

It is demonstrated that the voltage coefficients of capacitance (VCC) in high-/spl kappa/ metal-insulator-metal (MIM) capacitors can be actively engineered and voltage linearity can be significantly improved maintaining high capacitance density, by using a stacked insulator structure of high-/spl kappa/ and SiO/sub 2/ dielectrics. A MIM capacitor with capacitance density of 6 fF/spl mu/m/sup 2/ and quadratic VCC of only 14 ppm/V/sup 2/ has been demonstrated together with excellent frequency and temperature dependence (temperature coefficients of capacitance of 54 ppm /spl deg/C) as well as low leakage current of less than 10 nA/cm/sup 2/ up to 4 V at 125 /spl deg/C.
Choice of New Oral Anticoagulant Agents Versus Vitamin K Antagonists in Atrial Fibrillation: FANTASIIA Study.

INTRODUCTION
Atrial fibrillation (AF) is associated with an increased risk of thromboembolic events. Many patients with AF receive chronic anticoagulation, either with vitamin K antagonists (VKAs) or with non-VKA oral anticoagulants (NOACs). We sought to analyze variables associated with prescription of NOAC.


METHODS
Patients with AF under anticoagulation treatment were prospectively recruited in this observational registry. The sample comprised 1290 patients under chronic anticoagulation for AF, 994 received VKA (77.1%) and 296 NOAC (22.9%). Univariate and multivariate analyses were performed to identify variables associated with use of NOAC.


RESULTS
Mean age was 73.8 ± 9.4 years, and 42.5% of the patients were women. The CHA2DS2-VASc score was 0 in 4.9% of the population, 1 in 24.1%, and ≥2 in 71% (median = 4, interquartile range = 2). Variables associated with NOAC treatment were major bleeding (odds ratio [OR] = 3.36; confidence interval [CI] 95%: 1.73-6.51; P < .001), hemorrhagic stroke (OR = 3.19; CI 95% 1.00-10.15, P = .049), university education (OR = 2.44; CI 95%: 1.55-3.84; P < .001), high diastolic blood pressure (OR = 1.02; CI 95%: 1.00-1.03; P = .006), and higher glomerular filtration rate (OR 1.01, CI 95% 1.00-1.01; P = .01). And variables associated with VKA use were history of cancer (OR = 0.46; CI 95%: 0.25-0.85; P = .013) and bradyarrhythmia (OR = 0.40; CI 95% 0.19-0.85; P = .020).


CONCLUSION
Medical and social variables were associated with prescription of NOAC. Major bleeding, hemorrhagic stroke, university education, and higher glomerular filtration rate were more frequent among patients under NOAC. On the contrary, patients with history of cancer or bradyarrhythmias more frequently received VKA.
Time-Varying Quantiles

In modelling the evolution of a time series, we may wish to take account of changes in many aspects of the distribution over time rather than in just the mean or, as is often the case in nance, the variance. In a cross-section, the sample quantiles provide valuable and easily interpretable information; indeed if enough of them are calculated they e¤ectively provide a comprehensive description of the whole distribution. It is not di¢ cult to capture the evolution of such quantiles over time. For example, Harvey and Bernstein (2003) use standard unobserved component (UC) models to extract underlying trends from the time series of quantiles computed for the U.S. wage distribution. Estimating time-varying quantiles for a single series is far more di¢ cult. The problem is a fundamental one from the statistical point of view. Furthermore it is of considerable practical importance, particularly in areas like nance where questions of, for example, value at risk (VaR) appeals directly to a knowledge of certain quantiles of portfolio returns; see the RiskMetrics approach of J.P. Morgan (1996) and the discussion in Christo¤ersen, Hahn and Inoue (2001). Engle and Manganelli (2004) highlight this particular issue, as do Chernozhukov and Umantsev (2001). They propose the use of various nonlinear conditional autoregressive value at risk (CAViaR) models to make one-step ahead predictions of VaR in time series of stock returns. These models are based on quantile regression (QR); see the recent monograph by Koenker (2005). As with linear quantile autoregressions (QARs),
Introductory Lectures on Quantum Field Theory

In these lectures we present a few topics in Quantum Field Theory in detail. Some of them are conceptual and some more practical. They have been selected because they appear frequently in current applications to Particle Physics and String Theory.
Self-Organizing Networks (SON): Self-Planning, Self-Optimization and Self-Healing for GSM, UMTS and LTE

Description: With the current explosion in network traffic, and mounting pressure on operators’ business case, SelfOrganizing Networks (SON) play a crucial role. They are conceived to minimize human intervention in engineering processes and at the same time improve system performance to maximize Return-onInvestment (ROI) and secure customer loyalty. Written by leading experts in the planning and optimization of Multi-Technology and Multi-Vendor wireless networks, this book describes the architecture of Multi-Technology SON for GSM, UMTS and LTE, along with the enabling technologies for SON planning, optimization and healing. This is presented mainly from a technology point of view, but also covers some critical business aspects, such as the ROI of the proposed SON functionalities and Use Cases. Key features: Follows a truly Multi-Technology approach: covering not only LTE, but also GSM and UMTS, including architectural considerations of deploying SON in today’s GSM and UMTS networks Features detailed discussions about the relevant trade-offs in each Use Case Includes field results of today’s GSM and UMTS SON implementations in live networks Addresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigm This book will appeal to network planners, optimization engineers, technical/strategy managers with operators and R&D/system engineers at infrastructure and software vendors. It will also be a useful resource for postgraduate students and researchers in automated wireless network planning and optimization.
Totaled health risks in vascular events score predicts clinical outcome and symptomatic intracranial hemorrhage in chinese patients after thrombolysis.

BACKGROUND AND PURPOSE
The performance of the Totaled Health Risks in Vascular Events (THRIVE) score in predicting clinical outcomes in Chinese patients with acute ischemic stroke post intravenous thrombolysis is unknown.


METHODS
Data from the Thrombolysis Implementation and Monitor of Acute Ischemic Stroke in China (TIMS-China) study was used to compare the THRIVE score with other scores used to predict clinical outcomes and symptomatic intracranial hemorrhage after intravenous thrombolysis.


RESULTS
Among the 1128 patients with acute ischemic stroke who were included in this study, areas under the curve of the THRIVE score for symptomatic intracranial hemorrhage, 3-month poor functional outcomes, and death rate were 0.69, 0.71, and 0.78, respectively. The increased THRIVE score was related to the higher risk of developing symptomatic intracranial hemorrhage, poor functional outcomes, or death in patients with acute ischemic stroke at 3 months after thrombolysis.


CONCLUSIONS
The THRIVE score predicted reliably the risks of developing symptomatic intracranial hemorrhage, poor functional outcome, or death after intravenous thrombolysis therapy in Chinese patients with acute ischemic stroke.
Cryptanalysis of Stream Cipher Grain Family

Grain v1 is one of the 7 final candidates of ECRYPT eStream project, which involves in the 80-bit secret key. Grain-128 is a variant version with 128-bit secret key, and Grain v0 is the original version in the first evaluation phase. Firstly, we describe a distinguishing attack against the Grain family with weak Key-IVs. Utilizing the second Walsh spectra of the nonlinear functions, we show that there are 2/2/2 weak Key-IVs among total 2/2/2 Key-IVs, and to distinguish a weak Key-IV needs about 2/2/2 keystream bits and 2/2/ 2 operations for Grain v0, Grain v1 and Grain-128 respectively. Secondly, we apply algebraic attacks to the Grain family with a weak Key-IV, and can recover the secret key in about 2 seconds and 150 keystream bits for Grain v0 and Grain v1, and reveal the key of Grain-128 with about 100 keystream bits and 2 operations. Furthermore, we discuss the period of the keystream with a weak Key-IV for any Grain-like structure which can lead in self-sliding attack.
Structure-based classification and ontology in chemistry

BACKGROUND
Recent years have seen an explosion in the availability of data in the chemistry domain. With this information explosion, however, retrieving relevant results from the available information, and organising those results, become even harder problems. Computational processing is essential to filter and organise the available resources so as to better facilitate the work of scientists. Ontologies encode expert domain knowledge in a hierarchically organised machine-processable format. One such ontology for the chemical domain is ChEBI. ChEBI provides a classification of chemicals based on their structural features and a role or activity-based classification. An example of a structure-based class is 'pentacyclic compound' (compounds containing five-ring structures), while an example of a role-based class is 'analgesic', since many different chemicals can act as analgesics without sharing structural features. Structure-based classification in chemistry exploits elegant regularities and symmetries in the underlying chemical domain. As yet, there has been neither a systematic analysis of the types of structural classification in use in chemistry nor a comparison to the capabilities of available technologies.


RESULTS
We analyze the different categories of structural classes in chemistry, presenting a list of patterns for features found in class definitions. We compare these patterns of class definition to tools which allow for automation of hierarchy construction within cheminformatics and within logic-based ontology technology, going into detail in the latter case with respect to the expressive capabilities of the Web Ontology Language and recent extensions for modelling structured objects. Finally we discuss the relationships and interactions between cheminformatics approaches and logic-based approaches.


CONCLUSION
Systems that perform intelligent reasoning tasks on chemistry data require a diverse set of underlying computational utilities including algorithmic, statistical and logic-based tools. For the task of automatic structure-based classification of chemical entities, essential to managing the vast swathes of chemical data being brought online, systems which are capable of hybrid reasoning combining several different approaches are crucial. We provide a thorough review of the available tools and methodologies, and identify areas of open research.
V-Cache: Towards Flexible Resource Provisioning for Multi-tier Applications in IaaS Clouds

Although the resource elasticity offered by Infrastructure-as-a-Service (IaaS) clouds opens up opportunities for elastic application performance, it also poses challenges to application management. Cluster applications, such as multi-tier websites, further complicates the management requiring not only accurate capacity planning but also proper partitioning of the resources into a number of virtual machines. Instead of burdening cloud users with complex management, we move the task of determining the optimal resource configuration for cluster applications to cloud providers. We find that a structural reorganization of multi-tier websites, by adding a caching tier which runs on resources debited from the original resource budget, significantly boosts application performance and reduces resource usage. We propose V-Cache, a machine learning based approach to flexible provisioning of resources for multi-tier applications in clouds. V-Cache transparently places a caching proxy in front of the application. It uses a genetic algorithm to identify the incoming requests that benefit most from caching and dynamically resizes the cache space to accommodate these requests. We develop a reinforcement learning algorithm to optimally allocate the remaining capacity to other tiers. We have implemented V-Cache on a VMware-based cloud testbed. Experiment results with the RUBiS and WikiBench benchmarks show that V-Cache outperforms a representative capacity management scheme and a cloud-cache based resource provisioning approach by at least 15% in performance, and achieves at least 11% and 21% savings on CPU and memory resources, respectively.