LLukas22/scidocs huggingface dataset:
Analyzing cloning evolution in the Linux kernel

Identifying code duplication in large multi-platform software system is a challenging problem. This is due to a variety of reasons including the presence of high-level programming languages and structures interleaved with hardware-dependent low-level resources and assembler code, the use of GUI-based configuration scripts generating commands to compile the system, and the extremely high number of possible different configurations. This paper studies the extent and the evolution of code duplications in the Linux kernel. Linux is a large, multi-platform software system; it is based on the Open Source concept, and so there are no obstacles in discussing its implementation. In addition, it is decidedly too large to be examined manually: the current Linux kernel release (2.4.18) is about three million LOCs. Nineteen releases, from 2.4.0 to 2.4.18, were processed and analyzed, identifying code duplication among Linux subsystems by means of a metric-based approach. The obtained results support the hypothesis that the Linux system does not contain a relevant fraction of code duplication. Furthermore, code duplication tends to remain stable across releases, thus suggesting a fairly stable structure, evolving smoothly without any evidence of degradation. q 2002 Published by Elsevier Science B.V.
A Review on Support Vector Machine for Data Classification

185 All Rights Reserved © 2012 IJARCET Abstract-With increasing amounts of data being generated by businesses and researchers there is a need for fast, accurate and robust algorithms for data analysis. Improvements in databases technology, computing performance and artificial intelligence have contributed to the development of intelligent data analysis. Support vector machines are a specific type of machine learning algorithm that are among the most widelyused for many statistical learning problems, such as spam filtering, text classification, handwriting analysis, face and object recognition, and countless others. Support vector machines have also come into widespread use in practically every area of bioinformatics within the last ten years, and their area of influence continues to expand today. The support vector machine has been developed as robust tool for classification and regression in noisy, complex domains. The two key features of support vector machines are generalization theory, which leads to a principled way to choose an hypothesis; and, kernel functions, which introduce nonlinearity in the hypothesis space without explicitly requiring a non-linear algorithm.
Autophagy in lysosomal storage disorders

Lysosomes are ubiquitous intracellular organelles that have an acidic internal pH, and play crucial roles in cellular clearance. Numerous functions depend on normal lysosomes, including the turnover of cellular constituents, cholesterol homeostasis, downregulation of surface receptors, inactivation of pathogenic organisms, repair of the plasma membrane and bone remodeling. Lysosomal storage disorders (LSDs) are characterized by progressive accumulation of undigested macromolecules within the cell due to lysosomal dysfunction. As a consequence, many tissues and organ systems are affected, including brain, viscera, bone and cartilage. The progressive nature of phenotype development is one of the hallmarks of LSDs. In recent years biochemical and cell biology studies of LSDs have revealed an ample spectrum of abnormalities in a variety of cellular functions. These include defects in signaling pathways, calcium homeostasis, lipid biosynthesis and degradation and intracellular trafficking. Lysosomes also play a fundamental role in the autophagic pathway by fusing with autophagosomes and digesting their content. Considering the highly integrated function of lysosomes and autophagosomes it was reasonable to expect that lysosomal storage in LSDs would have an impact upon autophagy. The goal of this review is to provide readers with an overview of recent findings that have been obtained through analysis of the autophagic pathway in several types of LSDs, supporting the idea that LSDs could be seen primarily as "autophagy disorders."
Tree2Tree2: Neuron tracing in 3D

We seek a complete description for the neurome of the Drosophila, which involves tracing more than 20,000 neurons. The currently available tracings are sensitive to background clutter and poor contrast of the images. In this paper, we present Tree2Tree2, an automatic neuron tracing algorithm to segment neurons from 3D confocal microscopy images. Building on our previous work in segmentation [1], this method uses an adaptive initial segmentation to detect the neuronal portions, as opposed to a global strategy that often results in under segmentation. In order to connect the disjoint portions, we use a technique called Path Search, which is based on a shortest path approach. An intelligent pruning step is also implemented to delete undesired branches. Tested on 3D confocal microscopy images of GFP labeled Drosophila neurons, the visual and quantitative results suggest that Tree2Tree2 is successful in automatically segmenting neurons in images plagued by background clutter and filament discontinuities.
5.8-GHz Integrated Differential Rectenna Unit Using Both-Sided MIC Technology With Design Flexibility

A 5.8-GHz integrated differential rectifying antenna (rectenna) unit with design flexibility is proposed, and its performance is confirmed experimentally. It positively uses both-sided microwave integrated circuit (MIC) technology, and its antenna feed circuit includes filters which suppress 2nd harmonic. This proposed rectenna unit is a very simple, compact and novel configuration. It operates in a differential mode, and effectively integrates an antenna array with a rectifying circuit. Its configuration provides the pragmatically advantages such as antenna array design flexibility and rectenna unit extensibility. Herein, the behavior of the rectenna unit was successfully confirmed under low radio frequency (RF) power density. Maximum RF-DC conversion efficiency at 5.8 GHz of Industry-Science-Medical (ISM) band was approximately 27% with the load resistance of 390 Ω when the received power density (PD) was 0.031 W/m2.
Protease inhibitor-based triple therapy is highly effective for hepatitis C recurrence after liver transplant: a multicenter experience.

INTRODUCTION
Hepatitis C (HCV) continues to be the leading indication for liver transplantation (LT). Sustained virological response (SVR) rates to pegylated interferon (PEG-IFN) and ribavirin (RBV) therapy for recurrent HCV in Genotype 1 (G1) LT recipients have been disappointing (30-40%). Experience with triple therapy using protease inhibitors (PI) boceprevir (BOC), telaprevir (TVR) in these patients has been limited.


MATERIAL AND METHODS
This national multicenter retrospective study included 76 patients (64 male, mean age 57 ± 6 years), treated for G1 HCV recurrence with either BOC (n = 41) or TVR (n = 35), who were non-responders or relapsers (n = 54), treatment naïve (n = 22) or had fibrosing cholestatic HCV (n = 3). 53 patients were on cyclosporine, 22 on tacrolimus and one patient on prednisone alone.


RESULTS
On treatment virologic response was observed in 84% (64/76), 83% in BOC and 85% in TVR group. A higher week 4 response after starting triple therapy (RVR) was noted in TVR group 25/35 (81%) as compared to BOC group 26/41 (63%); p value = 0.02. The end of treatment response was 78% and 75% in BOC and TVR group, respectively. SVR 12 weeks after treatment discontinuation was observed in 59.5% (22/37); 58.3% in the BOC group and 61.5% in TVR group. Treatment was discontinued early in 23 patients (serious adverse effects n = 19, treatment failure n = 4). Infections occurred in 5 patients with 2 deaths (all in BOC). Anemia was the most common side effect (n = 55, 72%) requiring erythropoietin and RBV dose reduction. In the BOC group, cyclosporine dose reduction was 2.2 ± 1.0 fold and 8.6 ± 2.4 fold with tacrolimus. In TVR group, dose reduction was 3.0 ± 1.4 with cyclosporine and 12 ± 5.7 fold with tacrolimus.


CONCLUSIONS
PI-based triple therapy appears more effective in producing HCV-RNA clearance than dual therapy. Tolerability is a serious issue and drug-drug interactions are manageable with close monitoring.
Long term impact of emotional, social and cognitive intelligence competencies and GMAT on career and life satisfaction and career success

Career scholars have called for a broader definition of career success by inviting greater exploration of its antecedents. While success in various jobs has been predicted by intelligence and in other studies by competencies, especially in management, long term impact of having intelligence and using competencies has not been examined. Even in collegiate outcome studies, few have examined the longer term impact on graduates' careers or lives. This study assesses the impact of demonstrated emotional, social, and cognitive intelligence competencies assessed at graduation and g measured through GMAT at entry from an MBA program on career and life satisfaction, and career success assessed 5 to 19 years after graduation. Using behavioral measures of competencies (i.e., as assessed by others), we found that emotional intelligence competencies predict career satisfaction and success. Adaptability had a positive impact, but influence had the opposite effect on these career measures and life satisfaction. Life satisfaction was negatively affected by achievement orientation and positively affected by teamwork. Current salary, length of marriage, and being younger at time of graduation positively affect all three measures of life and career satisfaction and career success. GMAT (as a measure of g) predicted life satisfaction and career success to a slight but significant degree in the final model analyzed. Meanwhile, being female and number of children positively affected life satisfaction but cognitive intelligence competencies negatively affected it, and in particular demonstrated systems thinking was negative.
Vital Harmonies: Molecular Biology and Our Shared Humanity

Prefatory NoteAcknowledgmentsPrologue: Molecular Biology from the Viewpoint of a PractitionerThe Genetic Point of ViewThe Logic of the CellFrom Cell to OrganismAbnormal Cell Growth in CancerHuman Genomes and Human BeingsOn ConsciousnessMolecular Biology and the Limits of Molecular ExplanationNotesGlossarySelect Bibliography and Further ReadingIndex
One-to-many face recognition with bilinear CNNs

The recent explosive growth in convolutional neural network (CNN) research has produced a variety of new architectures for deep learning. One intriguing new architecture is the bilinear CNN (B-CNN), which has shown dramatic performance gains on certain fine-grained recognition problems [15]. We apply this new CNN to the challenging new face recognition benchmark, the IARPA Janus Benchmark A (IJB-A) [12]. It features faces from a large number of identities in challenging real-world conditions. Because the face images were not identified automatically using a computerized face detection system, it does not have the bias inherent in such a database. We demonstrate the performance of the B-CNN model beginning from an AlexNet-style network pre-trained on ImageNet. We then show results for fine-tuning using a moderate-sized and public external database, FaceScrub [17]. We also present results with additional fine-tuning on the limited training data provided by the protocol. In each case, the fine-tuned bilinear model shows substantial improvements over the standard CNN. Finally, we demonstrate how a standard CNN pre-trained on a large face database, the recently released VGG-Face model [20], can be converted into a B-CNN without any additional feature training. This B-CNN improves upon the CNN performance on the IJB-A benchmark, achieving 89.5% rank-1 recall.
A new, evidence-based estimate of patient harms associated with hospital care.

OBJECTIVES
Based on 1984 data developed from reviews of medical records of patients treated in New York hospitals, the Institute of Medicine estimated that up to 98,000 Americans die each year from medical errors. The basis of this estimate is nearly 3 decades old; herein, an updated estimate is developed from modern studies published from 2008 to 2011.


METHODS
A literature review identified 4 limited studies that used primarily the Global Trigger Tool to flag specific evidence in medical records, such as medication stop orders or abnormal laboratory results, which point to an adverse event that may have harmed a patient. Ultimately, a physician must concur on the findings of an adverse event and then classify the severity of patient harm.


RESULTS
Using a weighted average of the 4 studies, a lower limit of 210,000 deaths per year was associated with preventable harm in hospitals. Given limitations in the search capability of the Global Trigger Tool and the incompleteness of medical records on which the Tool depends, the true number of premature deaths associated with preventable harm to patients was estimated at more than 400,000 per year. Serious harm seems to be 10- to 20-fold more common than lethal harm.


CONCLUSIONS
The epidemic of patient harm in hospitals must be taken more seriously if it is to be curtailed. Fully engaging patients and their advocates during hospital care, systematically seeking the patients' voice in identifying harms, transparent accountability for harm, and intentional correction of root causes of harm will be necessary to accomplish this goal.
Trading the Bond-CDS Basis-The Role of Credit Risk and Liquidity

We analyze trading opportunities that arise from differences between the bond and the CDS market. By simultaneously entering a position in a CDS contract and the underlying bond, traders can build a default-risk free position that allows them to repeatedly earn the difference between the bond asset swap spread and the CDS, known as the basis. We show that the basis size is closely related to measures of company-specific credit risk and liquidity, and to market conditions. In analyzing the aggregate profits of these basis trading strategies, we document that dissolving a position leads to significant profit variations, but that attractive risk-return characteristics still apply. The aggregate profits depend on the credit risk, liquidity, and market measures even more strongly than the basis itself, and we show which conditions make long and short basis trades more profitable. Finally, we document the impact of the financial crisis on the profits of long and short basis trades, and show that the formerly more profitable long basis trades experienced stronger profit decreases than short basis trades. JEL classification: C31, C32, G12, G13, G14, G32
Tricuspid Regurgitation Is Associated With Increased Risk of Mortality in Patients With Low-Flow Low-Gradient Aortic Stenosis and Reduced Ejection Fraction: Results of the Multicenter TOPAS Study (True or Pseudo-Severe Aortic Stenosis).

OBJECTIVES
This study sought to examine the impact of tricuspid regurgitation (TR) on mortality in patients with low-flow, low-gradient (LF-LG) aortic stenosis (AS) and reduced left ventricular ejection fraction (LVEF).


BACKGROUND
TR is often observed in patients with LF-LG AS and low LVEF, but its impact on prognosis remains unknown.


METHODS
A total of 211 patients (73±10 years of age; 77% men) with LF-LG AS (mean gradient<40 mm Hg and indexed aortic valve area [AVA]≤0.6 cm2/m2) and reduced LVEF (≤40%) were prospectively enrolled in the TOPAS (True or Pseudo-Severe Aortic Stenosis) study and 125 (59%) of them underwent aortic valve replacement (AVR) within 3 months following inclusion. The severity of AS was assessed by the projected AVA (AVAproj) at normal flow rate (250 ml/s), as previously described and validated. The severity of TR was graded according to current guidelines.


RESULTS
Among the 211 patients included in the study, 22 (10%) had no TR, 113 (54%) had mild (grade 1), 50 (24%) mild-to-moderate (grade 2), and 26 (12%) moderate-to-severe (grade 3) or severe (grade 4) TR. During a mean follow-up of 2.4±2.2 years, 104 patients (49%) died. Univariable analysis showed that TR≥2 was associated with increased risk of all-cause mortality (hazard ratio [HR]: 1.82, 95% confidence interval [CI]: 1.22 to 2.71; p=0.004) and cardiovascular mortality (HR: 1.85, 95% CI: 1.20 to 2.83; p=0.005). After adjustment for age, sex, coronary artery disease, AVAproj, LVEF, stroke volume index, right ventricular dysfunction, mitral regurgitation, and type of treatment (AVR vs. conservative), the presence of TR≥2 was an independent predictor of all-cause mortality (HR: 1.88, 95% CI: 1.08 to 3.23; p=0.02) and cardiovascular mortality (HR: 1.92, 95% CI: 1.05 to 3.51; p=0.03). Furthermore, in patients undergoing AVR, TR≥3 was an independent predictor of 30-day mortality compared with TR=0/1 (odds ratio [OR]: 7.24, 95% CI: 1.56 to 38.2; p=0.01) and TR=2 (OR: 4.70, 95% CI: 1.00 to 25.90; p=0.05).


CONCLUSIONS
In patients with LF-LG AS and reduced LVEF, TR is independently associated with increased risk of cumulative all-cause mortality and cardiovascular mortality regardless of the type of treatment. In patients undergoing AVR, moderate/severe TR is associated with increased 30-day mortality. Further studies are needed to determine whether TR is a risk marker or a risk factor of mortality and whether concomitant surgical correction of TR at the time of AVR might improve outcomes for this high-risk population.
Molecular surveillance of the Newcastle disease virus in domestic and wild birds on the North Eastern Coast and Amazon biome of Brazil

Brazil is one of the world’s largest countries with a rich diversity of wildlife, including resident and migratory wild birds, which may be natural reservoirs of the Newcastle disease virus (NDV). Because Brazil is a major global exporter of chicken meat, the emergence of such a disease may have a huge negative impact not only on the economy due to trade restrictions and embargoes, but also on the quality of life of the population. Samples were collected from 1,022 asymptomatic domestic and wild birds from the Brazilian coast and the Amazon region using tracheal/cloacal swabs and tested by RT-qPCR. The results showed 7 (0.7%) birds were positive for NDV. The positive samples were then isolated in embryonated chicken eggs and their matrix protein genes were partially sequenced, revealing a low-pathogenicity NDV. This study confirms the maintenance of the velogenic-NDV free status of Brazil.
Kinematic Analysis and Prototype of a Metamorphic Anthropomorphic Hand with a Reconfigurable Palm

A novel metamorphic anthropomorphic hand is for the first time introduced in this paper. This robotic hand has a reconfigurable palm that generates changeable topology and augments dexterity and versatility of the hand. Structure design of the robotic hand is presented and based on mechanism decomposition kinematics of the metamorphic anthropomorphic hand is characterized with closed-form solutions leading to the workspace investigation of the robotic hand. With characteristic matrix equation, twisting motion of the metamorphic robotic hand is investigated to reveal both dexterity and manipulability of the metamorphic hand. Through a prototype, grasping and prehension of the robotic hand are tested to illustrate characteristics of the new metamorphic anthropomorphic hand.
Single axioms for odd exponent groups

With the aid of automated reasoning techniques, we show that all previously known short single axioms for odd exponent groups are special cases of one general schema. We also demonstrate how to convert the proofs generated by an automated reasoning system into proofs understandable by a human.
AppRAN: Application-oriented radio access network sharing in mobile networks

As a promising way to increase network capacity and reduce expenses, radio access network (RAN) sharing among mobile (virtual) network operators, has attracted extensive recent attention from both industry and academia. Meanwhile, mobile systems are undergoing fast evolution to virtualized infrastructure so as to tackle the ever-growing mobile traffic and the unremitting demand for high data rates. However, existing RAN sharing models intend to expose resource details, e.g., infrastructure and spectrum, to participating network operators of the RAN for resource-sharing purposes, which violates the principles of network abstraction and makes network management even more complicated. This paper presents AppRAN, an application-oriented framework for RAN sharing in mobile networks, which decouples network operators from radio resource by providing application-level services with Quality of Service (QoS) guarantee. AppRAN defines a serial of abstract applications with distinct QoS requirements and periodically computes application-level resource allocation for each radio element at a central controller w.r.t. traffic demands and average channel condition. The radio elements are allowed to independently determine flow-level resource allocation within each application afterwards. We formulate the application-level resource allocation as an optimization problem and develop a fast algorithm to solve it with a provably approximate guarantee. The efficacy of AppRAN is validated through theoretical analysis and computer simulations. We show that AppRAN is in line with the design of software-defined RAN.
Adrastos of Aphrodisias

Peripatetic philosopher active ca. 100 ce (Martin 1849: 74–9), author of commentaries on Aristotle's Nicomachean Ethics, Categories, and Physics, as well as of a study On the Order of Aristotle's Works cited several times by Simplicius. 
 
 
Keywords: 
 
history of science; 
medicine and technology; 
intellectual history; 
science
A STUDY OF CONTINUOUS BLOOD GLUCOSE MONITORING USING NON INVASIVE TECHNIQUE

The advent of a pain free non-invasive technology would improve the patient’s compliance for regular blood glucose monitoring. Subsequently the diabetic patient’s life will improve considerably. Glucose monitoring is an integral part of diabetes management, and the maintenance of physiological blood glucose concentration is the only way for a diabetic to avoid life-threatening diabetic complications. Many reviews have already been published on this topic, but the great amount of information available and the fast development of technologies require a continuous update in the research status. This manuscript aims to review the various NGM techniques and devices. Keywords— Blood Glucose Monitoring; Diabetes Management; Non – Invasive Technique ______________________________________________________________________________________________________________
Novel and Forgotten Current-steering Techniques for Resistive Multitouch, Duotouch, and Polytouch Position Sensing with Pressure

A compendium of foundational circuits for interfacing resistive pressure and position sensors is presented with example applications for music controllers and tangible interfaces.