Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation Based Performance Evaluation of Queueing Disciplines for Multi-Class Traffic

Queuing is one of the very vital mechanisms in traffic management system. Each router in the network must implement some queuing discipline that governs how packets are buffered while waiting to be transmitted. Several queue scheduling disciplines have been designed to improve the quality of service and to avoid congestion for networked multimedia applications. In this paper, we evaluate the performance of four queueing disciplines (FIFO, PQ, WFQ and DWRR) that are widely deployed for multi-class traffic and analyze their performance using OPNET simulator and compare their relative performance based on queueing delay, packet received, packet drop rate, end-to-end delay and delay jitter with RED and WRED policies. Keywords - Deficit-Weighted Round Robin, Multi-Class Traffic, OPNET Simulation, Priority Queuing, Weighted-Fair Queuing. I. Introduction With the growth of internet during the last decade IP networks are expected to support not only typical services like ftp and email but also video streaming and voice applications. There are many network parameters for its performance evaluation that are required for different application A number of queueing disciplines have been proposed to achieve the required quality of service in today's network services. In this paper, we analyze the performance of a typical network topology under four different queueing disciplines which are widely deployed and compare their performance OPNET simulator (2). The queueing disciplines considered are: First- In-First-Out (FIFO), Priority Queueing (PQ), Weighted Fair queueing (WFQ) and Deficit Weighted Round Robin queueing (DWRR). We also scrutinize the effect of two dropping policies, random-early drop (RED) (3) and weighted random-early drop(WRED), on their performance. We then present the simulation results and evaluate their performance.
Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum — Part 1

This paper designs and evaluates a practical algorithm, called Prac-ReProCS, for recovering a time sequence of sparse vectors St and a time sequence of dense vectors Lt from their sum, Mt := St + Lt, when any subsequence of the Lt's lies in a slowly changing low-dimensional subspace. A key application where this problem occurs is in video layering where the goal is to separate a video sequence into a slowly changing background sequence and a sparse foreground sequence that consists of one or more moving regions/objects. Prac-ReProCS is the practical analog of its theoretical counterpart that was studied in our recent work.
Validation and validity of diagnoses in the General Practice Research Database: a systematic review

AIMS To investigate the range of methods used to validate diagnoses in the General Practice Research Database (GPRD), to summarize findings and to assess the quality of these validations. METHODS A systematic literature review was performed by searching PubMed and Embase for publications using GPRD data published between 1987 and April 2008. Additional publications were identified from conference proceedings, back issues of relevant journals, bibliographies of retrieved publications and relevant websites. Publications that reported attempts to validate disease diagnoses recorded in the GPRD were included. RESULTS We identified 212 publications, often validating more than one diagnosis. In total, 357 validations investigating 183 different diagnoses met our inclusion criteria. Of these, 303 (85%) utilized data from outside the GPRD to validate diagnoses. The remainder utilized only data recorded in the database. The median proportion of cases with a confirmed diagnosis was 89% (range 24–100%). Details of validation methods and results were often incomplete. CONCLUSIONS A number of methods have been used to assess validity. Overall, estimates of validity were high. However, the quality of reporting of the validations was often inadequate to permit a clear interpretation. Not all methods provided a quantitative estimate of validity and most methods considered only the positive predictive value of a set of diagnostic codes in a highly selected group of cases. We make recommendations for methodology and reporting to strengthen further the use of the GPRD in research.
Simple and Efficient Algorithm for Approximate Dictionary Matching

This paper presents a simple and efficient algorithm for approximate dictionary matching designed for similarity measures such as cosine, Dice, Jaccard, and overlap coefficients. We propose this algorithm, called CPMerge, for the τ-overlap join of inverted lists. First we show that this task is solvable exactly by a τ-overlap join. Given inverted lists retrieved for a query, the algorithm collects fewer candidate strings and prunes unlikely candidates to efficiently find strings that satisfy the constraint of the τ-overlap join. We conducted experiments of approximate dictionary matching on three large-scale datasets that include person names, biomedical names, and general English words. The algorithm exhibited scalable performance on the datasets. For example, it retrieved strings in 1.1 ms from the string collection of Google Web1T unigrams (with cosine similarity and threshold 0.7).
Impacto do efeito de borda sobre a comunidade de samambaias epifíticas em floresta com araucária

Samambaias epifiticas sao consideradas importantes indicadorasde qualidade ambiental, pois sao impactadas pelo efeito de borda.Neste trabalho, analisou-se esse efeito em duas comunidades de samambaiasepifiticas em remanescentes de floresta com araucaria, sendo a primeiradenominada Macaco Branco, com uma estrada que corta o fragmento; e aoutra, Cravina, apresentando uma area com producao agricola no entorno.Foram sorteadas 12 parcelas na borda e no interior florestal de cada sitio,nas quais coletaram-se parâmetros fitossociologicos, microclimaticos e deabertura de dossel. Dezesseis especies de samambaias foram registradas.O interior do sitio Macaco Branco apresentou maior riqueza e umidade do ar,o que indica que esse ambiente oferece melhores condicoes microclimaticaspara o desenvolvimento e estabelecimento dessas plantas. Os resultadosdemonstraram que o efeito de borda foi mais pronunciado no sitio Cravina,que possui matriz de agricultura, em comparacao ao Macaco Branco, que ecircundado por uma estrada.
Simulation of neuro — Fuzzy controller for a flow process using MATLAB

Proportional integral derivative (PID) controllers are widely used in process control applications. For non linear systems such as flow process and multi-process control loops, PID controllers do not exhibit good performance. In this paper, a flow process loop is taken into consideration. Transfer function is derived by forcing the system to step signal and recording the reaction. Hence the second order system is approximated into a first order system with dead time. Design and simulation of a fuzzy controller is done based on the characteristics of the second order system. Response of the fuzzy controller is improved than the PID controller. Simulation of adaptive neuro-fuzzy controller is implemented for the flow process. The dynamic responses are better than fuzzy controller.
Robot assisted craniofacial surgery: first clinical evaluation

For more than three years the surgeons of the Clinic of Craniofacial Surgery of the University of Heidelberg and the engineers of the Institute of Process Control and Robotics (IPR) of the University of Karlsruhe have been cooperating to devise an intelligent surgical robotic system for craniofacial surgery. In July 1998 a new surgical roboti cs system, a RX 90, was acquired, which was also used in first animal experiments in f all 1998. The experimental set up, the conducted tests, our experiences and results will be depicted in this paper.
Statistical analysis of normal and abnormal dissymmetry in volumetric medical images

Presents a general method to study the dissymmetry of anatomical structures such as the human brain. The authors' method relies on the estimate of 3D dissymmetry fields, the use of 3D vector field operators, and T/sup 2/ statistics to compute significance maps. They also present a fully automated implementation of this method which relies mainly on the intensive use of a 3D non-rigid inter-patient matching tool. Such a tool is applied successively between the images and their symmetric versions with respect to an arbitrary plane, both to realign the images with respect to the mid-plane of the subject and to compute a dense 3D dissymmetry map. Inter-patient matching is also used to fuse the data of a population of subjects. The authors then describe three main application fields: the study of the normal dissymmetry within a given population, the comparison of the dissymmetry between two populations, and the detection of the significant abnormal dissymmetries of a patient with respect to a reference population. Finally, the authors present preliminary results illustrating these three applications for the case of the human brain.
Use of Reactive and Proactive Elasticity to Adjust Resources Provisioning in the Cloud Provider

Elasticity is the most important feature that differentiatescloud computing from traditional IT infrastructure. Itdefines the capacity of cloud infrastructure provider to acceleratethe provision or the deprovision of the resources needed to deployclient's services. Auto-scaling resource is typically done usingtwo models: reactive and proactive. Most previous researchesmanage elasticity with a single model (reactive or proactive) inisolation without taking into account the combination of both. Inthis context, this paper presents the ElasticCloud system used tomanage elasticity in the cloud provider. This system proposesa hybrid methodology that incorporates a reactive elasticitycoupled with a proactive elasticity to, respectively, scale up andscale down resources running a web application hosted in thecloud. We evaluate the efficiency of our methodology through aset of experiments with a testbed based on a cloud managementsystem and a synthetic workload. We have proved that ourmethodology reduces the number of CPU bottlenecks, the scaledown mistakes and the scale operations compared to existingelasticity approaches.
Learning by challenging: A social network and privacy based approach

Considerable research in the field of Intelligent Tutoring Systems (ITS) has focused on helping students increase learning by taking advantage of technological progress. As the use of social media by learners continues to increase, however, ITS should go beyond teaching based on isolated environments (platforms) and turn toward community-based learning within social networks. In this paper we introduce a new approach to learning based on social networks. This approach takes advantage of the increasing enthusiasm among learners for spending time in social networks. The goal is to use some of that time for learning, by replacing one of the various social game applications with an Intelligent Tutoring Systems (ITS). During a learning session, learners are encouraged to improve their scores by challenging either a score predefined by the system or the scores posted by their Facebook friends. In this paper, we describe a new system called LBC (Learning By Challenging) that enables the user to learn and to share their knowledge and resources in a social environment. It also provides an environment that protects the learner's privacy if he or she so desires.
Role of LCAT in HDL remodeling: investigation of LCAT deficiency states Published, JLR Papers in Press, December 20, 2006.

To better understand the role of LCAT in HDL metabolism, we compared HDL subpopulations in subjects with homozygous (n = 11) and heterozygous (n = 11) LCAT deficiency with controls (n = 22). Distribution and concentrations of apolipoprotein A-I (apoA-I)-, apoA-II-, apoA-IV-, apoC-I-, apoC-III-, and apoE-containing HDL subpopulations were assessed. Compared with controls, homozygotes and heterozygotes had lower LCAT masses (−77% and −13%), and LCAT activities (−99% and −39%), respectively. In homozygotes, the majority of apoA-I was found in small, disc-shaped, poorly lipidated preβ-1 and α-4 HDL particles, and some apoA-I was found in larger, lipid-poor, discoidal HDL particles with α-mobility. No apoC-I-containing HDL was noted, and all apoA-II and apoC-III was detected in lipid-poor, preβ-mobility particles. ApoE-containing particles were more disperse than normal. ApoA-IV-containing particles were normal. Heterozygotes had profiles similar to controls, except that apoC-III was found only in small HDL with preβ-mobility. Our data are consistent with the concepts that LCAT activity: 1) is essential for developing large, spherical, apoA-I-containing HDL and for the formation of normal-sized apoC-I and apoC-III HDL; and 2) has little affect on the conversion of preβ-1 into α-4 HDL, only slight effects on apoE HDL, and no effect on apoA-IV HDL particles.
Characterization of tetracycline and erythromycin resistance determinants in Treponema denticola

Treponema denticola isolates were evaluated for the presence of known tetracycline and erythromycin resistance determinants by Southern blot hybridization of whole-cell DNA and PCR assays. We examined all isolates available, which included 12 clinical and 4 American Type Culture Collection isolates. Two isolates carried the Tet B determinant, five isolates carried both the Tet B and Erm F determinants, seven isolates carried the Erm F determinant, and two did not carry any of the Tet or Erm determinants tested. Both the Tet B and Erm F determinants appeared to be associated with the chromosome. Neither of the two T. denticola donors tested could transfer the Tet B determinant, but three of four T. denticola tested transferred the Erm F determinant to an Enterococcus faecalis recipient. This extends the host range of both the tetB and ermF genes into the genus Treponema.
Aleutian disease of mink: detection of large quantities of complement-fixing antibody to viral antigen.

A number of proposals have been suggested to explain the mechanism of plasmacytosis and hypergammaglobulinemia in mink infected with Aleutian disease (AD) virus. That the virus induces a myeloma-like proliferation of plasma cells and the production of immunoglobulins not directed toward specific antigens was suggested by several workers (1–5). The transition from polyclonal to monoclonal gammopathies in 10% to 20% of the infected mink with genotypes Aa and AA (non-Aleutian mink) supports this suggestion (2). However, detection of anti-virus antibody in the form of infectious virus-antibody complexes (6) and by direct and indirect immunofluorescence on infected tissue (7; J. B. Henson and T. B. Crawford, manuscript in preparation) demonstrates that some of the hypergammaglobulinemia represents antibody to AD viral antigens. A previous attempt by other investigators to demonstrate complement-fixation (CF) between AD-affected sera and infectious organ homogenates was unsuccessful (1).
Novel single-loop multi-bit sigma-delta modulator using OTA sharing technique without DEM

This paper presents a novel technique to shape feedback DAC mismatch without any extra digital elements inside the sigma-delta loop by inserting an analog integrator and an out-of-loop digital differentiator. To lower power dissipation, a novel triple integrator with low capacitor mismatch sensitivity of the delay paths is proposed. As a result, the SDM with three integrators is realized by only one OTA. The proposed topology, simulated at transistor level on 0. 13µm CMOS process, achieves 98.4dB SNDR with 100kHz bandwidth and 1.2mW power dissipation from a single 1.2V supply voltage. Its specification satisfies the GSM requirements.
Rhythm in joint action: psychological and neurophysiological mechanisms for real-time interpersonal coordination

Human interaction often requires simultaneous precision and flexibility in the coordination of rhythmic behaviour between individuals engaged in joint activity, for example, playing a musical duet or dancing with a partner. This review article addresses the psychological processes and brain mechanisms that enable such rhythmic interpersonal coordination. First, an overview is given of research on the cognitive-motor processes that enable individuals to represent joint action goals and to anticipate, attend and adapt to other's actions in real time. Second, the neurophysiological mechanisms that underpin rhythmic interpersonal coordination are sought in studies of sensorimotor and cognitive processes that play a role in the representation and integration of self- and other-related actions within and between individuals' brains. Finally, relationships between social–psychological factors and rhythmic interpersonal coordination are considered from two perspectives, one concerning how social-cognitive tendencies (e.g. empathy) affect coordination, and the other concerning how coordination affects interpersonal affiliation, trust and prosocial behaviour. Our review highlights musical ensemble performance as an ecologically valid yet readily controlled domain for investigating rhythm in joint action.
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints

Incorporating domain knowledge into the modeling process is an effective way to improve learning accuracy. However, as it is provided by humans, domain knowledge can only be specified with some degree of uncertainty. We propose to explicitly model such uncertainty through probabilistic constraints over the parameter space. In contrast to hard parameter constraints, our approach is effective also when the domain knowledge is inaccurate and generally results in superior modeling accuracy. We focus on generative and conditional modeling where the parameters are assigned a Dirichlet or Gaussian prior and demonstrate the framework with experiments on both synthetic and real-world data.
Nature of the Inotropic Action of Angiotensin on Ventricular Myocardium

The effect of changes in various chemical and physical factors on the positive inotropic action of angiotensin was studied in isolated papillary muscles of kittens. Pretreatment of the animals with reserpine did not diminish the positive inotropic effect of angiotensin. Concentrations of nethalide which strongly antagonize the response of the papillary muscle to levarterenol or tyramine had no effect on the inotropic concentration-effect curve for angiotensin. It is concluded that angiotensin does not release significant amounts of cate-cholamines from the cardiac stores and that its inotropic action on ventricular myocardium does not result from stimulation of adrenergic β-receptors. Increases in external calcium concentration, decreases in sodium concentration, and shortening of the interval between contractions diminish both the absolute and the relative inotropic effect of angiotensin. All these maneuvers and angiotensin itself raise myocardial contractility by increasing the degree of activation of the contractile element. Cooling of papillary muscles does not decrease the absolute inotropic effect of the drug. Angiotensin and increases in external calcium concentration affect the mechanical properties of papillary muscles in a similar fashion. Angiotensin may raise contractility by augmenting the entry of Ca++ into the myocardial fiber.
Wishbone bus Architecture - A Survey and Comparison

The performance of an on-chip interconnection architecture used for communication between IP cores depends on the efficiency of its bus architecture. Any bus architecture having advantages of faster bus clock speed, extra data transfer cycle, improved bus width and throughput is highly desirable for a low cost, reduced time-to-market and efficient System-on-Chip (SoC). This paper presents a survey of WISHBONE bus architecture and its comparison with three other on-chip bus architectures viz. Advanced Microcontroller Bus Architecture (AMBA) by ARM, CoreConnect by IBM and Avalon by Altera. The WISHBONE Bus Architecture by Silicore Corporation appears to be gaining an upper edge over the other three bus architecture types because of its special performance parameters like the use of flexible arbitration scheme and additional data transfer cycle (Read-Modify-Write cycle). Moreover, its IP Cores are available free for use requiring neither any registration nor any agreement or license.
Age and co-morbidities as independent risk factors of infections leading to hospital admission in the last year of life among the elderly: A retrospective registry-based study

Background: The immune system declines with age, but the impact of chronological age may be affected by sex, co-morbidities, and sociodemographic factors. Objective: The article aims to study infections associated with hospital admission in the elderly in their last year of life and the impact of age, sex, co-morbidities, and sociodemographic factors. Method: A retrospective study based on registry data covering all care visits in Stockholm Region, Sweden, for 7 years was conducted. All deceased subjects with at least one hospital admission with infection as the main diagnosis in the last year of life were compared with subjects with no such admission. Subjects were categorized into three different age-groups 65–79, 80–89, and 90 years and above. Co-morbidity was measured by the Charlson Comorbidity Index (CCI) and sociodemographic factors were assessed using the ‘Mosaic-system’. Subjects living in nursing homes were analyzed separately. Uni- and multivariable logistic regressions were conducted. Results: Of the 55,238 subjects in the study population, 14,192 (26%) had at least one hospital admission due to infection in the last year of life. The risk of having a severe infection increased with age, adjusted odds ratio (OR): 1.30 (1.25–1.36), and 1.60 (1.52–1.69) for the age-groups 80–89 and ≥ 90 compared to the age-group 65–79. The most important factor for infection was a high co-morbidity score; adjusted OR: 1.75 (1.68–1.82). Male sex and living in a less affluent area were weaker risk factors for infections. Conclusion: Chronological age and co-morbidities are independent risk factors of infections associated with hospital admission in the last year in life while male sex and sociodemographic factors have less impact.