LLukas22/scidocs huggingface dataset:
Evaluation and diagnosis of the hair loss patient: part II. Trichoscopic and laboratory evaluations.

The use of trichoscopy for evaluating a number of hair and scalp disorders is gaining popularity. It is a simple and noninvasive in vivo tool for visualizing hair shafts and the scalp. Recently, alopecias have been classified according to their trichoscopic findings. The second part of this 2-part continuing medical education article reviews recent advances in this field and describes a systematic approach for using the differential diagnostic findings of trichoscopy in alopecia.
Subharmonically pumped CMOS frequency conversion (up and down) circuits for 2-GHz WCDMA direct-conversion transceiver

Subharmonically pumped frequency down- and upconversion circuits are implemented in 0.18-/spl mu/m mixed-mode CMOS technology for 2-GHz direct-conversion WCDMA transceiver applications. These circuits operate in quadrature double-balanced mode and a required octet-phases (0/spl deg/, 45/spl deg/, 90/spl deg/, 135/spl deg/, 180/spl deg/, 225/spl deg/, 270/spl deg/, and 315/spl deg/) local oscillator (LO) signal comes from an active multiphases LO generator composed of a polyphase filter and active 45/spl deg/ phase shifting circuits. For linearity improvement, predistortion compensation and negative feedback schemes are used in the frequency down- and upconversion circuits, respectively. The downconverter achieves a conversion voltage gain of 20 dB (to 1-M/spl Omega/ load), 4-dBm IIP3 (18-dBm OIP3 to 50-/spl Omega/ load), 41-dBm IIP2 and 8.5-dB DSB NF at 1-MHz IF frequency, consuming 13.4 mA from 1.8-V supply, in the WCDMA Rx band (2110-2170 MHz). The upconverter, operating as two switched gain modes in the WCDMA Tx band (1920-1980 MHz), consumes 19.4 mA from 1.8-V supply and shows 14.5-dB conversion power gain, 15 -dBm OIP3 (0.5-dBm IIP3) and -11 dBm P/sub 1dB/ at maximum gain mode. At minimum gain mode, it realizes -0.3-dB conversion loss, 10.7-dBm OIP3 (11-dBm IIP3) and 0-dBm P/sub 1dB/, respectively. 3GPP WCDMA modulation tests are performed for both up- and downconversion circuits and the results are discussed in this paper.
Admission rates of ED patients with transient ischemic attack have increased since 2000.

OBJECTIVE
A study published in December 2000 showed that 5% of patients presenting with transient ischemic attacks (TIAs) developed a stroke within 48 hours. This finding has been corroborated in several other studies. We hypothesize that, influenced by this, emergency department (ED) physicians have been more reluctant to discharge TIA patients resulting in an increase in the percentage of TIA patients admitted.


METHODS
This is a retrospective cohort of consecutive ED visits. This study is conducted in 6 New Jersey EDs with annual ED visits from 25000 to 65000. Consecutive patients seen by ED physicians between January 1, 2000, and December 31, 2010, were included. We identified TIA visits using the International Classification of Diseases, Ninth Revision, code. We analyzed the admission rates for TIA testing for significant differences using the Student t test and calculated 95% confidence intervals.


RESULTS
Of the 2622659 visits in the database, 8216 (0.3%) were for TIA. Females comprised 57%. There was a statistically significant increase in the annual admission rates for TIA patients from 2000 to 2010, from 70% to 91%, respectively (difference, 22%; 95% confidence interval, 18%-26% [P < .001]). Separate analysis by sex showed similar increased admission rates for females and males.


CONCLUSIONS
We found that the admission rate for TIAs increased significantly from 2001 to 2010. This change in physicians' practice may be due to the body of evidence that TIA patients have a significant short-term risk of stroke.
Tri-scripts handwritten numeral recognition: a novel approach

In this paper an automatic recognition system for isolated handwritten numerals recognition for three popular south Indian scripts. Kannada, Devanagari, and Telugu numeral sets are used for their recognition. The proposed method is thinning free and without size normalization. The structural features viz. directional density of pixels, water reservoirs, maximum profile distancess, and fill hole density are used for handwritten numerals recognition. A Eclidian distance criterion and K-nearest neighbor classifier is used to classify the handwritten numerals. A total of 5250 numeral images are considered for experimentation, and the overall accuracy of 95.40%, 90.20%, and 98.40% for Kannada, Devanagari and Telugu numerals respectively are achived. The novelty of the proposed method is thinning free, fast, and without size normalization. KeywordsOCR, Handwritten Numeral Recognition, k-NN, Structural feature, and Indian script
A survey on context-aware web service systems

Purpose – This survey aims to study and analyze current techniques and methods for context-aware web service systems, to discuss future trends and propose further steps on making web services systems context-aware. Design/methodology/approach – The paper analyzes and compares existing context-aware web service-based systems based on techniques they support, such as context information modeling, context sensing, distribution, security and privacy, and adaptation techniques. Existing systems are also examined in terms of application domains, system type, mobility support, multi-organization support and level of web services implementation. Findings – Supporting context-aware web service-based systems is increasing. It is hard to find a truly context-aware web service-based system that is interoperable and secure, and operates on multi-organizational environments. Various issues, such as distributed context management, context-aware service modeling and engineering, context reasoning and quality of context, security and privacy issues have not been well addressed. Research limitations/implications – The number of systems analyzed is limited. Furthermore, the survey is based on published papers. Therefore, up-to-date information and development might not be taken into account. Originality/value – Existing surveys do not focus on context-awareness techniques for web services. This paper helps to understand the state of the art in context-aware techniques for web services that can be employed in the future of services which is built around, amongst others, mobile devices, web services, and pervasive environments.
A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications.

As we shift from population-based medicine towards a more precise patient-specific regime guided by predictions of verified and well-established cardiovascular models, an urgent question arises: how sensitive are the model predictions to errors and uncertainties in the model inputs? To make our models suitable for clinical decision-making, precise knowledge of prediction reliability is of paramount importance. Efficient and practical methods for uncertainty quantification (UQ) and sensitivity analysis (SA) are therefore essential. In this work, we explain the concepts of global UQ and global, variance-based SA along with two often-used methods that are applicable to any model without requiring model implementation changes: Monte Carlo (MC) and polynomial chaos (PC). Furthermore, we propose a guide for UQ and SA according to a six-step procedure and demonstrate it for two clinically relevant cardiovascular models: model-based estimation of the fractional flow reserve (FFR) and model-based estimation of the total arterial compliance (CT ). Both MC and PC produce identical results and may be used interchangeably to identify most significant model inputs with respect to uncertainty in model predictions of FFR and CT . However, PC is more cost-efficient as it requires an order of magnitude fewer model evaluations than MC. Additionally, we demonstrate that targeted reduction of uncertainty in the most significant model inputs reduces the uncertainty in the model predictions efficiently. In conclusion, this article offers a practical guide to UQ and SA to help move the clinical application of mathematical models forward. Copyright © 2015 John Wiley & Sons, Ltd.
Computation of Cyclic Redundancy Checks via Table Look-Up

Cyclic Redundancy Check (CRC) codes provide a simple yet powerful method of error detection during digital data transmission. Use of a table look-up in computing the CRC bits will efficiently implement these codes in software.
Information Credibility on Twitter in Emergency Situation

Twitter has shown its greatest power of influence for its fast information diffusion. Previous research has shown that most of the tweets posted are truthful, but as some people post the rumors and spams on Twitter in emergence situation, the direction of public opinion can be misled and even the riots are caused. In this paper, we focus on the methods for the information credibility in emergency situation. More precisely, we build a novel Twitter monitor model to monitoring Twitter online. Within the novel monitor model, an unsupervised learning algorithm is proposed to detect the emergency situation. A collection of training dataset which includes the tweets of typical events is gathered through the Twitter monitor. Then we manually dispatch the dataset to experts who label each tweet into two classes: credibility or incredibility. With the classified tweets, a number of features related to the user social behavior, the tweet content, the tweet topic and the tweet diffusion are extracted. A supervised method using learning Bayesian Network is used to predict the tweets credibility in emergency situation. Experiments with the tweets of UK Riots related topics show that our procedure achieves good performance to classify the tweets compared with other state-of-art algorithms.
Dynamic Social Community Detection and Its Applications

Community structure is one of the most commonly observed features of Online Social Networks (OSNs) in reality. The knowledge of this feature is of great advantage: it not only provides helpful insights into developing more efficient social-aware solutions but also promises a wide range of applications enabled by social and mobile networking, such as routing strategies in Mobile Ad Hoc Networks (MANETs) and worm containment in OSNs. Unfortunately, understanding this structure is very challenging, especially in dynamic social networks where social interactions are evolving rapidly. Our work focuses on the following questions: How can we efficiently identify communities in dynamic social networks? How can we adaptively update the network community structure based on its history instead of recomputing from scratch? To this end, we present Quick Community Adaptation (QCA), an adaptive modularity-based framework for not only discovering but also tracing the evolution of network communities in dynamic OSNs. QCA is very fast and efficient in the sense that it adaptively updates and discovers the new community structure based on its history together with the network changes only. This flexible approach makes QCA an ideal framework applicable for analyzing large-scale dynamic social networks due to its lightweight computing-resource requirement. To illustrate the effectiveness of our framework, we extensively test QCA on both synthesized and real-world social networks including Enron, arXiv e-print citation, and Facebook networks. Finally, we demonstrate the applicability of QCA in real applications: (1) A social-aware message forwarding strategy in MANETs, and (2) worm propagation containment in OSNs. Competitive results in comparison with other methods reveal that social-based techniques employing QCA as a community detection core outperform current available methods.
Implementing successful residential alternatives to acute in-patient psychiatric services: lessons from a multi-centre study of alternatives in England.

BACKGROUND
Standard acute psychiatric care in the UK is costly but problematic. Alternatives to standard in-patient wards exist, but little is known about their effectiveness, implementation and sustainability. This paper explores successful features and limitations of five residential alternative services in England and factors that facilitate or impede their initial and sustained implementation and success.


METHODS
Semi-structured interviews about the functioning of six alternative services were conducted with 36 mental health professionals with good working knowledge of, and various connections with these services. A group interview with study researchers was also conducted. Data were analysed using thematic analysis.


RESULTS
One service did not show evidence of operating as an alternative and was excluded from further analysis. The remaining five alternatives are valued for providing a more holistic style of care than standard services that confers many perceived benefits. However, they are seen as less appropriate for compulsorily detained or highly disturbed patients, and as providing less comprehensive treatment packages than hospital settings. Factors identified as important to successful implementation and sustainability are: responding to known shortcomings in local acute care systems; balancing role clarity and adaptability; integration with other services; and awareness of the alternative among relevant local health-care providers.


CONCLUSIONS
Residential alternatives can play an important role in managing mental health crises. Their successful implementation and endurance depend on establishing and maintaining a valued position within local service systems. Findings contribute to bridging the gap between research evidence on the problems of standard acute care and delivering improved crisis management services.
Gaussian mixture density modeling, decomposition, and applications

We present a new approach to the modeling and decomposition of Gaussian mixtures by using robust statistical methods. The mixture distribution is viewed as a contaminated Gaussian density. Using this model and the model-fitting (MF) estimator, we propose a recursive algorithm called the Gaussian mixture density decomposition (GMDD) algorithm for successively identifying each Gaussian component in the mixture. The proposed decomposition scheme has advantages that are desirable but lacking in most existing techniques. In the GMDD algorithm the number of components does not need to be specified a priori, the proportion of noisy data in the mixture can be large, the parameter estimation of each component is virtually initial independent, and the variability in the shape and size of the component densities in the mixture is taken into account. Gaussian mixture density modeling and decomposition has been widely applied in a variety of disciplines that require signal or waveform characterization for classification and recognition. We apply the proposed GMDD algorithm to the identification and extraction of clusters, and the estimation of unknown probability densities. Probability density estimation by identifying a decomposition using the GMDD algorithm, that is, a superposition of normal distributions, is successfully applied to automated cell classification. Computer experiments using both real data and simulated data demonstrate the validity and power of the GMDD algorithm for various models and different noise assumptions.
An in vitro evaluation of the effectiveness of endotracheal suction catheters.

INTRODUCTION
Tracheal suction catheters (TSCs) are used to clear mucus from an endotracheal tube (ETT). The clearance rate is critical because airway mucus stasis leads to obstruction, but prolonged catheter suctioning can lead to hypoxemia. The rate of mucus clearance from an ETT is thought to be influenced by the properties of the mucus, the pressure used to suction the mucus, and the diameter of the catheter. In this study, different adult TSCs were evaluated for their ability to suction mucus simulants that had properties similar to airway mucus.


METHODS
Six different 14F TSC designs were evaluated. All catheters had the same end hole size, but the two side holes were sized at 3 mm, 4 mm, or 5 mm. A coagulant (Polyox Water Soluble Resin Coagulant NF; Dow Chemical Company; Cary, NC) was mixed with water at concentrations of 0.5%, 1.5%, and 3.0% to simulate mucus or sputum. Suction effectiveness was evaluated by the mass percentage of the coagulant suctioned over 10 s at 100 mm Hg from an 8.0 ETT.


MEASUREMENTS AND RESULTS
The 1.5% and 3.0% simulants had properties comparable to human airway mucus and sputum. Suction effectiveness was less with the 3.0% coagulant simulant compared with the 1.5% and 0.5% simulants. Suction effectiveness was greater (p < 0.01) with TSCs that had nonparallel holes and a side hole diameter of 5 mm when tested with the 1.5% and 3.0% simulants. However, no best catheter could be identified among TSCs when tested with the more liquid-like 0.5% simulant.


CONCLUSIONS
Greater TSC side hole diameter and nonparallel positioning was important for suctioning mucus simulants that are similar to mucus or sputum. The distance between side holes, end hole size, suction force, and duration of suctioning were not tested but could also have an effect on TSC performance.
Software Process in the Classroom: The Capstone Project Experience

A process-oriented perspective on large student projects guides students in integrating end-to-end life-cycle skills and provides consistency of experience among projects. After conducting 49 Capstone projects, the authors learned that they must cultivate a process culture, that agile processes provide a bridge from ad hoc programming assignments to organized project work, and that process requires a suitable infrastructure of tools and process expertise.
Variables associated with achievement in higher education: A systematic review of meta-analyses.

The last 2 decades witnessed a surge in empirical studies on the variables associated with achievement in higher education. A number of meta-analyses synthesized these findings. In our systematic literature review, we included 38 meta-analyses investigating 105 correlates of achievement, based on 3,330 effect sizes from almost 2 million students. We provide a list of the 105 variables, ordered by the effect size, and summary statistics for central research topics. The results highlight the close relation between social interaction in courses and achievement. Achievement is also strongly associated with the stimulation of meaningful learning by presenting information in a clear way, relating it to the students, and using conceptually demanding learning tasks. Instruction and communication technology has comparably weak effect sizes, which did not increase over time. Strong moderator effects are found for almost all instructional methods, indicating that how a method is implemented in detail strongly affects achievement. Teachers with high-achieving students invest time and effort in designing the microstructure of their courses, establish clear learning goals, and employ feedback practices. This emphasizes the importance of teacher training in higher education. Students with high achievement are characterized by high self-efficacy, high prior achievement and intelligence, conscientiousness, and the goal-directed use of learning strategies. Barring the paucity of controlled experiments and the lack of meta-analyses on recent educational innovations, the variables associated with achievement in higher education are generally well investigated and well understood. By using these findings, teachers, university administrators, and policymakers can increase the effectivity of higher education. (PsycINFO Database Record
Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments

Decomposing the Gender Wage Gap in the Netherlands with Sample Selection Adjustments In this paper, we use quantile regression decomposition methods to analyze the gender gap between men and women who work full time in the Netherlands. Because the fraction of women working full time in the Netherlands is quite low, sample selection is a serious issue. In addition to shedding light on the sources of the gender gap in the Netherlands, we make two methodological contributions. First, we prove that the Machado-Mata quantile regression decomposition procedure yields consistent and asymptotically normal estimates of the quantiles of the counterfactual distribution that it is designed to simulate. Second, we show how the technique can be extended to account for selection. We find that there is a positive selection of women into full-time work in the Netherlands; i.e., women who get the greatest return to working full time do work full time. We find that about two thirds of this selection is due to observables such as education and experience with the remainder due to unobservables. Our decompositions show that the majority of the gender log wage gap is due to differences between men and women in returns to labor market characteristics rather than to differences in the characteristics. This is true across the wage distribution, particularly in the top half of the distribution. JEL Classification: C24, J22, J31, J71
Use of an implantable loop recorder to increase the diagnostic yield in unexplained syncope: results from the PICTURE registry

AIMS
To collect information on the use of the Reveal implantable loop recorder (ILR) in the patient care pathway and to investigate its effectiveness in the diagnosis of unexplained recurrent syncope in everyday clinical practice.


METHODS AND RESULTS
Prospective, multicentre, observational study conducted in 2006-2009 in 10 European countries and Israel. Eligible patients had recurrent unexplained syncope or pre-syncope. Subjects received a Reveal Plus, DX or XT. Follow up was until the first recurrence of a syncopal event leading to a diagnosis or for ≥1 year. In the course of the study, patients were evaluated by an average of three different specialists for management of their syncope and underwent a median of 13 tests (range 9-20). Significant physical trauma had been experienced in association with a syncopal episode by 36% of patients. Average follow-up time after ILR implant was 10±6 months. Follow-up visit data were available for 570 subjects. The percentages of patients with recurrence of syncope were 19, 26, and 36% after 3, 6, and 12 months, respectively. Of 218 events within the study, ILR-guided diagnosis was obtained in 170 cases (78%), of which 128 (75%) were cardiac.


CONCLUSION
A large number of diagnostic tests were undertaken in patients with unexplained syncope without providing conclusive data. In contrast, the ILR revealed or contributed to establishing the mechanism of syncope in the vast majority of patients. The findings support the recommendation in current guidelines that an ILR should be implanted early rather than late in the evaluation of unexplained syncope.