Miracle-dz/UniFAR-FTUs huggingface dataset:
Knee Flexion Angle of Fixation During Anterolateral Ligament Reconstruction or Lateral Extra-articular Tenodesis: A Systematic Review and Meta-analysis of Lateral Extra-articular Reinforcement Techniques Performed in Conjunction With ACL Reconstruction

Background: Anterolateral ligament reconstruction (ALLR) or lateral extra-articular tenodesis (LET) is being used more frequently in conjunction with anterior cruciate ligament reconstruction (ACLR). However, the knee flexion angle at which fixation of ALLR or LET is performed during the procedure is quite variable based on existing technique descriptions. Purpose/Hypothesis: The purpose of this study was to identify whether flexion angle at the time of ALLR/LET fixation affected postoperative outcomes in a clinical population. It was hypothesized that ALLR/LET fixation at low versus high flexion angles would lead to no statistically significant differences in patient-reported outcome measures and graft failure rates. Study Design: Systematic review; Level of evidence, 4. Methods: The PubMed, Embase, and Cochrane Library databases were searched according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify published clinical studies of ACLR with ALLR/LET in which the knee flexion angle at the time of ALLR/LET was reported. A priori, low flexion was defined as 0° to 30°, and high flexion was defined as 60° to 90°. Studies were excluded if the flexion angle was between 31° and 59° because these angles constituted neither low nor high flexion angles and including them in an analysis of high versus low flexion angle at fixation would have biased the study results toward the null. The overall risk of bias was assessed using the Newcastle-Ottawa Scale. The pooled results of the studies were analyzed using the International Knee Documentation Committee (IKDC), Lysholm, and Tegner scores, along with reported graft failure rates. Results: A total of 32 clinical studies (5230 patients) met inclusion criteria: 22 studies (1999 patients) in the low-flexion group and 10 studies (3231 patients) in the high-flexion group. The median Newcastle-Ottawa Scale score was 6. Comparisons of patients with a low flexion angle versus a high flexion angle demonstrated no differences in the IKDC (P = .84), Lysholm (P = .67), or Tegner (P = .44) scores or in graft failure (3.4% vs 4.1%, respectively; P = .69). Conclusion: The results of this review indicated that ACLR performed in conjunction with ALLR/LET provides good to excellent patient-reported outcomes and low graft failure rates when ALLR/LET fixation is performed in either low or high knee flexion.
Meta-App A Pull-Based Approach

Now-a-days Smartphone has become common and are used by millions of people. As these Smartphone provide a facility of custom built apps, many of the businesses are moving towards building apps. A lot of time and capital is being invested in developing these kinds of apps. However in order to reach out customers these apps are being built hap hazardously. Poorly written apps pose the risk of exposing user data and breaching privacy. Development and maintenance of these apps is also required. Furthermore some apps are being built only because everyone is moving apponly. All this has made it difficult for a Smartphone user to keep track of different apps on his devices. This paper aims at creating a Meta-App which would act as supplant to all the redundant applications and will be based on intent publishing. A solution to provide fine control to the user over his data that is shared with the service providers and implement a Pullbased Approach.
Developing killer apps for industrial augmented reality

We discuss about industrial augmented reality. Each industrial process imposes its own peculiar requirements. This creates the need for specialized technical solutions, which in turn poses new sets of challenges. Because most industries must concern themselves with at least some of these industrial procedures, we consider design, commissioning, manufacturing, quality control, training, monitoring and control, and service and maintenance. AR lets users reconstruct virtual models of their area of interest and visualize models within their static views of a real scene.
in Computer

— The recommendation systems are widely used to support the users to handle the ever increasing data over the internet efficiently. Recommendation systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource. To date a number of recommendation system algorithms have been proposed such as collaborative filtering recommendations, content based recommendations and hybrid approach algorithms. The focus is generally on content based recommendation systems methods which are mainly based on naïve Bayesian machine learning algorithm. In this paper, a survey of techniques is presented which suggest naïve Bayesian algorithm for similarity in recommendation systems
Recurrent processing during object recognition

We hypothesized that the brain undergoes a similar recurrent processing dynamic that strengthens neural responses made weak and ambiguous from degraded stimuli and integrates them into a stable percept that supports reliable recognition. Backward masking experiment! To test our hypothesis, we conducted a behavioral experiment using backward masking, which has been suggested to selectively disrupt recurrent processing while leaving any feedforward response intact (4). Conclusions We have provided an account of how the extensive bidirectional connectivity throughout the ventral stream supports recurrent processing during object recognition. Specifically, when objects are degraded, they evoke weak, ambiguous responses via feedforward connections. However, recurrent processing can resolve this ambiguity by strengthening responses that are consistent with the bottom-up inputs while weakening those that are not. Masking was shown to interfere selectively with the recurrent processing necessary to resolve the identity of degraded stimuli.
LEVANTAMENTO FLORÍSTICO NA UNIVERSIDADE FEDERAL RURAL DA AMAZÔNIA EM ÁREA DE CAPOEIRA COM TRANSIÇÃO ENTRE FLORESTAS DE TERRA FIRME E VÁRZEA

Introdução A universidade Federal Rural da Amazônia (UFRA) em Belém possui grande diversidade em seu ecossistema, ao longo dos anos em seu território ocorreu grande desmatamento ocasionado pela expansão territorial e econômica mais propícia ao desenvolvimento (Cardoso et al 2001). Com isso, o local que abrange a universidade contém grande proporção de florestas secundárias, consequentemente, o campus possui poucas áreas de florestas primárias remanescentes. Nos espaços amostrais escolhidos ocorre um processo de regeneração há 60 anos, estes estão em locais de transição entre terra firme e várzea. A terra firme é o ecossistema de maior expressividade e de grande complexidade na composição, distribuição e densidade das espécies. Caracteriza-se pela heterogeneidade florística com predominância de espécies agregadas em algumas formações e aleatórias em outras (ARAÚJO et al., 1986). A floresta de várzea, cuja vegetação ocorre ao longo dos rios e das planícies inundáveis, normalmente apresenta menor diversidade do que a terra firme e abriga animais e plantas adaptados a condições hidrológicas (KALLIOLA et al.,1993).
Uncovering the Nucleus of Social Networks

is a “dense core” of G, the product of these two terms should be large. The frst term controls the rate of changes in size from Gk to Gk +1: intuitively, if Gk is the “nucleus” of G, going from Gk−1 to Gk should not drastically change its size; but going from Gk to Gk+1 amounts to breaking Gk apart, yielding a collection of small connected components. In other words, Vk+1 would fall of quickly, as Gk+1 is a small connected subgraph or an empty graph. Hence, Gk with the largest NI represents the nucleus of G (as produced by the decomposition process). Considering the node dependence value as a centrality measure, we defne θ (i ) as follows:
Smith ScholarWorks Smith ScholarWorks

Constraint-based CAD software, used by engineers to design sophisticated mechanical systems, relies on a wide range of geometrical constraints. In this paper we focus on one special case: angular constraints in 3D. We give a complete combinatorial characterization for generic minimal rigidity in two new models: line-plane-and-angle and body-and-angle structures. As an immediate consequence, we obtain eﬃcient algorithms for analyzing angular rigidity.
of the Broadband

In this paper, the effect of the broadband jammer is considered in two relay communications networks for various positions of the jammer. The first and second network has one and r relays, respectively. In both networks, each relay has one antenna and use Amplify and Forward (AF) protocol to transmit messages. Each of the source and the destination uses one antenna to send and receive messages, respectively. In the first network, the source transmits its signal in two relay-link and direct-link path stoward the destination. In the second network, each relay transmits its received signal after adjusting its power toward the destination. Simulation results show for the first network that when a jammer is close to the source, the jamming effect increases, and in the second network, if the jammer is near to relays, quality of service decrease.
Runahead Execution: An Effective Alternative to Large Instruction Windows

An instruction window that can tolerate latencies to DRAM memory is prohibitively complex and power hungry. To avoid having to build such large windows, runahead execution uses otherwise-idle clock cycles to achieve an average 22 percent performance improvement for processors with instruction windows of contemporary sizes. This technique incurs only a small hardware cost and does not significantly increase the processor's complexity.
Using the 2001 and 2011 Censuses to reconcile ethnic group estimates and components for the intervening decade for English local authority districts

This chapter describes the creation of new estimates of ethnic populations and components of change in local authority districts (LADs) in England for years between the 2001 and 2011 Censuses. Information on ethnic populations by age and gender is provided in censuses. In between censuses, information on ethnic population change is scarce. To fill the gap we used data from the two censuses with reconciled total population and component estimates published by the Office of National Statistics. This chapter outlines the sequence of steps used to produce a ten-year time series. These reconciled population and component estimates provide a firmer foundation for ethnic-specific projections than hitherto available. The role of the census in this work is vital.
Designing for Children - With focus on ‘Play + Learn’ Drawing with Fun: What We Can Learn From the Children

: Drawing is the act of creating a representation of any object by the use of lines and/or value. Since drawing is a form of visual expression, drawing is thus used as a mean for developing creativity among the preschoolers in Malaysia. With the advancement of computing technologies, there are a number of digital drawing applications that have been developed to help enhance the children’s creativity. We selected two drawing applications: Drawing for Children and Tuxpaint. From this study, we recorded a few interesting observations: how fun and useful should be related to children experience. We found that fun was further enhanced with the social interaction with other children. Special effect features also, were seen merely as an added value to children’s drawing experience and “ being aesthetically appealed” is an important factor that influences their decision. This study proved that fun is an important element in designing for children learning experience.
Overview of the Eighth Text REtrieval Conference

The eighth Text REtrieval Conference TREC was held at the National Institute of Standards and Tech nology NIST on November The conference was co sponsored by NIST and the Information Technology O ce of the Defense Advanced Research Projects Agency DARPA TREC is the latest in a series of workshops designed to foster research in text retrieval For analyses of the results of previous workshops see Tague Sutcli e and Blustein Harman and Sparck Jones In addition the overview paper in each of the previous TREC proceedings summarizes the results of that TREC The TREC workshop series has the following goals
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

\ Abstract: Face recognition is a complex task and there is no such technique which provides 100% recognition rate to all situations and applications in which face recognition may appear. In this paper, the authors propose a new hybrid approach based on Principal Component Analysis (PCA) and Scale Invariant Feature Transform (SIFT) for face recognition. Recognition problem can be viewed as recognizing a test sample in a given database called training set. The basic idea of our method contains three steps. In first step find the eigenfaces of the test image as well as of the images in whole training set by using PCA to get reduced size of training set, which contains the most similar images to the test image. This step is done in order to get a reduced size of the training set. In the second step we apply SIFT method to get the keypoint descriptor for the test image as well as for all the images which are obtained from the first step. Third step involves the matching of keypoint descriptor by using Cosine Angle Distance (CAD).
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

\ Abstract: Edge detection plays an important role in object identification. Application ranges from machine vision, image processing to pattern recognition. There exist many algorithms for detecting edges such as sobel, prewitt, canny, morphological operators etc. Canny operator is more susceptible to noise. This paper analyses the advantages and disadvantages of Canny operator and Morphological operator in the aspect of image edge extraction, and proposes a new edge extraction algorithm by combining two methods. The image edges are extracted using Morphological operator and Canny operator respectively. Then the Canny edges are restraint using the morphological edge. The edge points which are present in Canny edge but not in the morphological edge are discarded so that the noise in the Canny edge is eliminated. Morphological operator finds the structuring element from the image itself using freeman chain code, which is then followed by the Morphological Gradient method to detect edges. The proposed algorithm is anti-noise, simple, efficient and fast.
International Journal of Video& Image Processing and Netwo Rk Security a Hybrid Method for Extracting Key Terms of Text Documents

key terms are important terms in the document, which can give high-level description of contents for the reader. Extracting key terms is a basic step for many problems in natural language processing, such as document classification, clustering documents, text summarization and output the general subject of the document. This article proposed a new method for extracting key terms from text documents. As an important feature of this method, we note the fact that the result of its work is a group of key terms, with terms from each group are semantically related by one of the main subjects of the document. Our proposed method is based on a combination of the following two techniques: a measure of semantic proximity of terms, calculated based on the knowledge base of Wikipedia and an algorithm for detecting communities in networks. One of the advantages of our proposed method is no need for preliminary learning, because the method works with the knowledge base of Wikipedia. Experimental evaluation of the method showed that it extracts key terms with high accuracy and completeness. I. INTRODUCTION Key terms (keywords or key phrases) are important terms in the document, which can give high-level description of contents for the reader. Extracting key terms is a basic step for many problems in natural language processing, such as document classification, clustering documents, text summarization and output the general subject of the document (Manning and Schtze, 1999). In this article we propose a method for extracting document key terms, using Wikipedia as a rich information resource about the semantic proximity of terms. Wikipedia www.wikipedia. org is a free available encyclopaedia, which is now the largest encyclopaedia in the world. It contains millions of articles and redirect pages of synonyms of the main title of the article available in several languages. With a vast network of links between articles, a large number of categories, redirect pages and disambiguation pages, Wikipedia is an extremely powerful resource for our work and for many other applications of natural language processing and information retrieval. Our method is based on the following two techniqu es: A measure of semantic proximity, calculated based on Wikipedia and an algorithm for networks analysis, namely, Girvan
Efficient spare-resource allocation for fast restoration of real-time channels from network component failures

Since real-time applications usually require not only timeliness but also fault-tolerance, it is essential to incorporate fault-tolerance into real-time communication services that are indispensable to distributed real-time applications. The techniques for failure recovery in datagram communication are not adequate for real-time communication, because they cannot provide recovery-delay guarantees. To ensure fast recovery of a real-time channel from network component failures, we need to reserve network resources (spare resources) along a backup route before failures actually occur. The focus of this paper is on minimizing the amount of spare resources while meeting the fault-tolerance requirement. Specifically, we present resource sharing mechanisms and backup-route selection algorithms, and evaluate their efficiency with extensive simulations.
Effect of hydration status and variability of blood pressure and heart rate induced by hemodialysis on intradialytic changes of high sensitive troponin T

Introduction. High sensitivity troponin T (TnT-hs) is biomarker of myocardial damage and ischemia. Despite its elevation troponin still preserve its usefulness as a marker of the cardiovascular risk and mortality in chronic kidney disease. Variations of hydration status between and during hemodialysis exert significant hemodynamic effects, which may negatively affect cardiovascular system and blood pressure and lead to myocardial damage. The aim of the study was to access the effect of hydration status and variability of blood pressure and heart rate induced by hemodialysis on intradialytic changes of TnT-hs, in chronic hemodialysis patients. Material and methods. In 50 chronic hemodialysis patients (35M, 15F, mean age 64 ± 12 years) blood pressure and heart rate were monitored noninvasively during HD session. Serum concentration of TnT-hs and hydration status were assessed before and after hemodialysis. Results. TnT-hs concentration was above normal range in 98% patients before, and in all after hemodialysis. Median TnT-hs level was 82 ng/L before and 84 ng/L after hemodialysis, which comprised 586% and 600% of the upper limit of normal range. There was a small 2.4%, intradialytic increase of TnT-hs (p = 0.004). TnT-hs levels correlated positively with mean interdialytic weigh gain, before HD (r = 0.43, p = 0.02) and after HD (r = 0.5, p = 0.003). There was also a positive correlation between TnT-hs concentration and mean heart rate (r = 0.37, p = 0.008) and with mean systolic blood pressure during HD, before HD (r = 0.3, p = 0.026) and after HD (r = 0.3, p = 0.031). Conclusions. Hemodialysis can be a risk factor of myocardial injury, especially in overhydrated patients.
Trading efficiency for effectiveness in similarity-based indexing for image databases

Image databases typically manage feature data that can be viewed as points in a feature space. Some features, however, can be better expressed as a collection of points or described by a probability distribution function (PDF) rather than as a single point. In earlier work we introduced a similarity measure and a method for indexing and searching the PDF descriptions of these items that guarantees an answer equivalent to sequential search. Unfortunately, certain properties of the data can restrict the efficiency of that method. In this paper we extend that work and examine trade-offs between efficiency and answer quality or effectiveness. These trade-offs reduce the amount of work required during a search by reducing the number of undesired items fetched without excluding an excessive number of the desired ones.
Breviscapine alleviates myocardial ischemia-reperfusion injury in diabetes rats

ABSTRACT Purpose: To investigate the protective effect of breviscapine on myocardial ischemia-reperfusion injury (MIRI) in diabetes rats. Methods: Forty rats were divided into control, diabetes, MIRI of diabetes, and treatment groups. The MIRI of diabetes model was established in the latter two groups. Then, the treatment group was treated with 100 mg/kg breviscapine by intraperitoneal injection for 14 consecutive days. Results: After treatment, compared with MIRI of diabetes group, in treatment group the serum fasting blood glucose, fasting insulin, homeostasis model assessment of insulin resistance, and glycosylated hemoglobin levels decreased, the serum total cholesterol, triacylglycerol, and low-density lipoprotein cholesterol levels decreased, the serum high-density lipoprotein cholesterol level increased, the heart rate decreased, the mean arterial pressure, left ventricular ejection fraction, and fractional shortening increased, the serum cardiac troponin I, and creatine kinase-MB levels decreased, the myocardial tumor necrosis factor α and interleukin-6 levels decreased, the myocardial superoxide dismutase level increased, and the myocardial malondialdehyde level decreased (all P < 0.05). Conclusions: For treating MIRI of diabetes in rats, the breviscapine can reduce the blood glucose and lipid levels, improve the cardiac function, reduce the myocardial injury, and decrease the inflammatory response and oxidative stress, thus exerting the alleviating effect.
Planning as Satissability

We develop a formal model of planning based on satis ability rather than deduction The satis ability approach not only provides a more ex ible framework for stating di erent kinds of constraints on plans but also more accurately re ects the theory behind modern constraint based plan ning systems Finally we consider the computational characteristics of the resulting formulas by solving them with two very di erent satis ability