Miracle-dz/UniFAR-FTUs huggingface dataset:
Primary Structure of the Porcine 89-kDa Enamelin

The primary structure of the 89-kDa enamelin found in porcine secretory enamel at an early stage of development was investigated. The fragments of the enamelin cDNA were amplified by polymerase chain-reaction from the first-strand enamelin cDNA, and were sequenced. The results indicated that the 89-kDa enamelin consisted of 627 amino acid residues and had a molecular mass of 70,448. A hydrophobic domain is located in the region of the 21 st-62nd amino acid residues of the molecule. Acidic domains are located in two regions of the molecule-one in the region of the 135th-238th amino acid residues and the other in the C-terminal region. A basic domain is located in the region of the 239th-360th amino acid residues. The results also indicated that the low-molecular-weight enamelins were fragments derived from a prototype enamelin.
Bone-Marrow Chimeras Reveal Hemopoietic and Nonhemopoietic Control of Resistance to Experimental Lyme Arthritis1

Both genetic resistance and susceptibility to development of experimental Lyme arthritis are mediated by the innate immune response. To determine whether this process is mainly controlled by hemopoietic or nonhemopoietic cells, we created bone marrow (BM) chimeric mice between arthritis-resistant DBA/2J (DBA) and arthritis-susceptible C3H/HeJ (C3H) mice and infected them with Borrelia burgdorferi. Both sets of BM chimeric mice, C3H donors into DBA recipients (C→D) and DBA donors into C3H recipients (D→C), as well as DBA sham chimeric mice (D→D) were resistant to the development of experimental Lyme arthritis as measured by ankle swelling and arthritis severity scores. Only the C3H sham chimeric mice (C→C) developed severe arthritis. These results indicate that independent and nonoverlapping mechanisms exist in hemopoietic and nonhemopoietic cellular compartments that can provide protection against arthritic pathology.
Index Search Algorithms for Databases and Modern CPUs

Over the years, many different indexing techniques and search algorithms have been proposed, including CSS-trees, CSB+ trees, k-ary binary search, and fast architecture sensitive tree search. There have also been papers on how best to set the many different parameters of these index structures, such as the node size of CSB+ trees. These indices have been proposed because CPU speeds have been increasing at a dramatically higher rate than memory speeds, giving rise to the Von Neumann CPU--Memory bottleneck. To hide the long latencies caused by memory access, it has become very important to well-utilize the features of modern CPUs. In order to drive down the average number of CPU clock cycles required to execute CPU instructions, and thus increase throughput, it has become important to achieve a good utilization of CPU resources. Some of these are the data and instruction caches, and the translation lookaside buffers. But it also has become important to avoid branch misprediction penalties, and utilize vectorization provided by CPUs in the form of SIMD instructions. While the layout of index structures has been heavily optimized for the data cache of modern CPUs, the instruction cache has been neglected so far. In this paper, we present NitroGen, a framework for utilizing code generation for speeding up index traversal in main memory database systems. By bringing together data and code, we make index structures use the dormant resource of the instruction cache. We show how to combine index compilation with previous approaches, such as binary tree search, cache-sensitive tree search, and the architecture-sensitive tree search presented by Kim et al.
Smart grid and impact analysis of the application hourly rate for residential consumers using the Monte Carlo method

The Brazilian electrical system will pass through significant changes, reaching the integration of information technology infrastructure and communications. The smart metering and the application of hourly rates will be one of the firsts procedures that will be adopted in order to transform the existing network in Smart Grids and definitively change the role and the participation of the consumer in the operation of electrical system. Residential consumers can be considered the most responsible for increasing the peak of load in the electric system, making the system and consequently the invested capital become idle in most of the time. Therefore the application of different hourly rates becomes important since the energy tariff applied to residential consumers do not induce greater efficiency in the use of the distribution system. The hourly rate was established aiming to promote energy management by the consumers and it will be an alternative to conventional and will also offer three different rates of energy tariff during the day. In order to estimate and improve the understanding of this new modality of energy tariff this paper proposes an initial analysis on the electric shower, which is considered the most responsible for the peak of the load curve. The method of Monte Carlo was applied to evaluate possible scenarios regarding electric shower consumption as well as to analyze the impacts from this new tariff.
Doping-induced change of optical properties in underdoped cuprate superconductors

We report on the ab-plane optical reflectance measurements of single crystals of Y-doped Bi2Sr2CaCu2O8+ and Pr-doped YBa2Cu3O7 over a wide frequency range from 80 to 40 000 cm 1 (10 meV-5 eV) and at temperatures between 20 and 300 K. Y and Pr doping both decrease the hole concentration in the CuO2 planes. This has allowed us to investigate the evolution ofab-plane charge dynamics at doping levels ranging from heavily underdoped to nearly optimally doped. Our results of the low-frequency optical conductivity and spectral weight do not show any features associated with the normal-state pseudogap. Instead, one-component analysis for the optical conductivity shows the low-frequency depression in the scattering rate at T> T c , signalling entry into the pseudogap state. Alternatively, no clear indications of the normal-state pseudogap are detected in the temperature-dependent zero-frequency free-carrier scattering rate by using two-component analysis. In the superconducting state, there is also no convincing evidence of superconducting gap absorption in all spectra. We find that there is a 'universal correlation' between the numbers of carriers and the transition temperature. This correlation holds whether one considers the number of carriers in the superfluid or the total number of carriers.
Home Automation Routing Requirements in Low-Power and Lossy Networks

This document presents home control and automation application specific requirements for Routing Over Low power and Lossy networks (ROLL). In the near future many homes will contain high numbers of wireless devices for a wide set of purposes. Examples include actuators (relay, light dimmer, heating valve), sensors (wall switch, water leak, blood pressure) and advanced controllers (RF-based AV remote control, Central server for light and heat control). Because such devices only cover a limited radio range, routing is often required. The aim of this document is to specify the routing requirements for networks comprising such constrained devices in a home control and automation environment.
Interfacing Dielectric-Loaded Plasmonic and Silicon Photonic Waveguides: Theoretical Analysis and Experimental Demonstration

A comprehensive theoretical analysis of end-fire coupling between dielectric-loaded surface plasmon polariton and rib/wire silicon-on-insulator (SOI) waveguides is presented. Simulations are based on the 3-D vector finite element method. The geometrical parameters of the interface are varied in order to identify the ones leading to optimum performance, i.e., maximum coupling efficiency. Fabrication tolerances about the optimum parameter values are also assessed. In addition, the effect of a longitudinal metallic stripe gap on coupling efficiency is quantified, since such gaps have been observed in fabricated structures. Finally, theoretical results are compared against insertion loss measurements, carried out for two distinct sets of samples comprising rib and wire SOI waveguides, respectively.
Implementation of signaling tunnel in the GMPLS control plane

The reliability of the GMPLS control plane is discussed in the paper. The protection of signaling link can improve significantly reliability level of the control plane and therefore overall GMPLS reliability. The signaling tunnel in the control plane can be implemented with the use of MPLS technology. This approach has been implemented in the simulation environment and verified. The results confirm efficiency of that solution.
Nutritional Impact on Cardiovascular Risk in Chronic Hemodialysed Patients – A Systematic Review

Impactul nutriåional pe risc cardiovascular la pacienåii hemodializaåi cronic o revizuire sistematicã Stadiile avansate de boalã cronicã de rinichi (BCR) æi hemodializa cronicã sunt douã entitãåi clinice care prezintã susceptibilitate crescutã pentru diveræi factori de risc cardiovaculari, implicit mortalitate ridicatã. Aceastã relaåie de cauzalitate este accentuatã de modificãrile bioumorale specifice progresiei afecåiunii renale, dar æi hemodializei per se. BCR poate favoriza malnutriåia, dar æi importante tulburãri mineralo-osoase, astfel, paråial explicându-se apariåia riscului cardiovascular la pacienåii hemodializaåi cronic.
Paroxetine Treatment of Depression With Posttraumatic Stress Disorder: Effects on Autonomic Reactivity and Cortisol Secretion

Abstract: Effects of paroxetine treatment of comorbid depression and posttraumatic stress disorder (PTSD) on subjective symptoms, autonomic reactivity, and diurnal salivary cortisols were assessed prospectively. Cross-sectional baseline psychophysiologic assessments of 22 patients with depression + PTSD, 21 with depression alone, and 20 asymptomatic, previously traumatized controls found that comorbid patients had higher blood pressure and heart rate reactivity to individualized trauma scripts than purely depressed and control groups. On discriminant analyses comparing comorbid patients with each other group, combined autonomic variables correctly classified 55% of comorbid patients (sensitivity) and 75% of traumatized, healthy subjects (specificity) as well as 55% of comorbid patients (sensitivity) and 86% of purely depressed patients (specificity). Although baseline am and pm salivary cortisol levels were within reference range and did not differ significantly across groups, depression + PTSD patients differed from the other 2 groups in having a flattened diurnal pattern. After 10 weeks of open-label paroxetine, comorbid patients significantly improved in all PTSD symptom evaluations and physiologic reactivity measures but did not change cortisol levels or acquire a robust diurnal cortisol pattern. Ten treated depressed patients did not change in physiologic or cortisol measures. Results demonstrate that sampled comorbid patients had autonomic reactivity patterns similar to PTSD that responded to selective serotonin reuptake inhibitor treatment but had diurnal cortisol secretion patterns different from depression or that expected for PTSD, which did not change with treatment. Results suggest a complexity in the neurobiology of comorbid PTSD and major depression and its response to treatment.
Sensor based robot localisation and navigation: using interval analysis and extended Kalman filter

This paper describes a new approach for mobile robot navigation using an interval analysis based adaptive mechanism for an extended Kalman filter. The robot is equipped with inertial sensors, encoders and ultrasonic sensors. The map used for this study is two-dimensional and it is assumed to be a known a-priori. Multiple sensor fusion for robot localisation and navigation has attracted a lot of interest in recent years. An extended Kalman filter (EKF) is used to estimate the robots position using the inertial sensors and encoders. Since the EKF estimates are affected by bias, drift etc. we propose an adaptive mechanism using interval analysis to correct these defects in estimates. Interval analysis has been already successfully used in the past for robot localisation using time of flight ultrasonic sensors. One of the problems of the use of interval analysis sensor based navigation and localisation is that it can be applicable only in the presence of landmarks. This problem is overcome here using additional sensors such as encoders and inertial sensors, which gives an estimate of the robot position using an extended Kalman filter in the absence of landmarks. In the presence of landmarks the complementary robot position information from the interval analysis algorithm using ultrasonic sensors is used to estimate and bound the errors in the EKF robot position estimate.
Inovação de Processo em Instituições de Ensino Superior

Ao longo da historia das organizacoes observa-se que a inovacao e uma eficiente maneira destas melhorarem o desempenho, seja na otimizacao da utilizacao dos recursos ou na conquista de melhores posicoes no mercado. A inovacao ocorre em diferentes setores da economia, como e o caso das Instituicoes de Ensino Superior (IES), o qual cresce na medida em que a populacao aumenta a capacidade de consumo, o que pode ser observado na demanda por servicos educacionais, pois os profissionais necessitam estar com formacao adequada as exigencias do mercado. Esta e uma pesquisa qualitativa, descritiva, com escopo de estudo de casos multiplos, a qual aborda a inovacao de processos em tres IES, que prestam servicos educacionais de graduacao e pos-graduacao, na regiao denominada Corede Serra, a qual conta com 31 municipios, onde reside uma populacao de 862.305 habitantes, com uma das menores taxas do Brasil de analfabetismo (2,66%). O objetivo deste artigo e identificar e descrever as inovacoes em processos, ocorridas nos anos de 2010 e 2011, em tres Faculdades (IES) analisando o foco de inovacoes em processo de cada IES em relacao as areas de ensino e servicos de suporte, bem como a comparacao entre estas, alem de relatar os beneficios e implicacoes com as mudancas de processo. Os beneficios encontrados na pesquisa referem-se a reducao de custos operacionais, melhoria na qualidade de ensino e melhoria nos servicos de suporte. Ao analisar as implicacoes com a implementacao das inovacoes, destaca-se que as tres IES apresentaram dificuldades iniciais na implantacao das mudancas.
Novel highly specific anti‐periostin antibodies uncover the functional importance of the fascilin 1‐1 domain and highlight preferential expression of periostin in aggressive breast cancer

Periostin (POSTN), a secreted homodimeric protein that binds integrins αvβ3, αvβ5, and α6β4, was originally found to be expressed in fetal tissues and in the adult upon injury particularly bone fractures due to its role in remodelling and repair. Recently it was found to be over‐expressed in human breast cancer and a variety of other tumour types including head and neck squamous cell carcinoma, where its overexpression correlates with increased tumour invasion. Progress in studying its functional role in tumour pathogenesis has been hampered by the paucity of antibodies for its specific and sensitive detection. It has proven very difficult to obtain monoclonal antibodies (mAbs) against this highly conserved protein but we report here that combining infection of mice with lactate dehydrogenase elevating virus (LDV), a B cell activating arterivirus, with conjugation of human POSTN to ovalbumin as an immunogenic carrier, enabled us to develop six mAbs recognizing both human and mouse POSTN and inhibiting its binding to αvβ3 integrin. Two of the mAbs, MPB4B1 and MPC5B4, were tested and found to inhibit POSTN‐induced migration of human endothelial colony forming cells. All six mAbs recognized amino acids 136‐51 (APSNEAWDNLDSDIRR) within the POSTN fascilin (FAS) 1‐1 domain revealing the functional importance of this motif; this was further highlighted by the ability of aa 136–151 peptide to inhibit integrin‐mediated cell migration. Immunohistochemistry using MPC5B4, indicated that breast tumour cell POSTN expression was a strong prognostic indicator, along with tumour size, lymph node, and human epidermal growth factor receptor 2 (HER2) status.
Research on particle filter tracking algorithm based on multi-feature covariance matrix

Aiming at the problem that the particle filter target tracking based on single feature is vulnerable to environmental impacts and is difficult to deal with the size scaling and rotation changes, this paper proposes a particle filter tracking algorithm based on covariance matrix. The algorithm uses the covariance matrix to fuse multiple features of the target in the framework of particle filter, which improves the adaptability of the algorithm. By introducing the covariance integral graph, the dimension of particle computation is effectively reduced, which reduces the computational cost of the algorithm and improves the real-time performance. The processing efficiency of the algorithm is effectively improved through the mean value calculation in covariance to remove the noise. Simulation experiment results show that the proposed algorithm is robust to the target tracking under the condition of illumination change, environmental disturbance and scale change.
TÉCNICAS DE MODELO DIGITAL DE SOLOS

Esta e uma nova area de conhecimento que esta se abrindo no Brasil, mas ja vem sendo estudada em diversas partes do mundo. Consiste essencialmente numa visao mais quantitativa, onde os fatores de formacao dos solos sao modelados assim como sua variabilidade e distribuicao espacial. Existe uma necessidade crescente de informacoes sobre os solos, ao mesmo tempo em que existe a falta de dados e de organizacao dos dados existentes. Logo, este trabalho tem como objetivo apresentar uma breve introducao sobre algumas tecnicas relacionadas ao Mapeamento Digital de Solos (MDS).
Roteiros de desenvolvimento de unidades de inteligência competitiva sob a ótica dos modelos de referência

Reference models are theoretical elaborations created to shape the development of organizational processes and operations. The ISO series and the Baldrige Criteria for Performance Excellence Framework are examples of such models as well as the roadmaps for Competitive Intelligence (CI) development proposed in Herring and Leavitt (2011) and Hedin and Thieme (2010). This article analyzes the CI roadmaps using the reference models literature, creating a conceptually consistent understanding of its strengths and limitations. Therefore, a literature research related to reference models and CI roadmaps was performed, followed by the roadmaps evaluation according to the Fette, Loss and Zwicker (2005) model, resulting in the description of strengths and limitations that roadmaps may bring to the CI units. By using a new theoretical approach for CI roadmaps study, this work expands the understanding of them beyond the reading of their original articles could provide, allowing a more conscious decision about their use.
Effect of carbohydrate counting using bolus calculators on glycemic control in type 1 diabetes patients during continuous subcutaneous insulin infusion

The present study examined the long‐term efficacy of insulin pump therapy for type 1 diabetes patients when carried out using carbohydrate counting with bolus calculators for 1 year. A total of 22 type 1 diabetes patients who had just started continuous subcutaneous insulin infusion were examined and divided into two groups: one that was educated about carbohydrate counting using bolus calculators (n = 14); and another that did not use bolus calculators (n = 8). After 1 year, the hemoglobin A1c levels of the patient group that used bolus calculators decreased persistently and significantly (P = 0.0297), whereas those of the other group did not. The bodyweight, total daily dose of insulin and bolus percentage of both groups did not change. Carbohydrate counting using bolus calculators is necessary to achieve optimal and persistent glycemic control in patients undergoing continuous subcutaneous insulin infusion.
Théorèmes centraux limites pour les processus poissoniens de droites dans le plan et questions de convergence pour le modèle booléen de l'espace euclidien

Cette these est consacree a l'etude geometrique de domaines aleatoires associes aux processus poissoniens de droites dans le plan ainsi qu'a certains modeles booleens de l'espace euclidien. Trois parties la composent : processus poissoniens de droites dans le plan, convergence en loi du modele booleen vers le processus poissonien d'hyperplans de l'espace euclidien et simulation du processus poissonien de droites dans le plan. Partie 1. - nous rappelons les resultats classiques concernant les caracteristiques geometriques des polygones aleatoires determines par un processus poissonien de droites dans le plan, que nous completons par quelques nouvelles demonstrations de resultats de nature presque-sure et par des resultats inedits. Nous etudions la convergence en loi des distributions empiriques canoniques des polygones aleatoires, notamment du nombre de sommets, du perimetre et de certains types d'angles. Nous demontrons alors des theoremes centraux limites. Partie 2. - en 1985, p. Hall a enonce des conditions pour que la convergence en loi ait lieu quand les domaines aleatoires generiques sont boules ou des polygones convexes invariants par rotation. Tout recemment, i. S. Molchanov a generalise ces resultats grace a un critere d'unicite du a g. Matheron, faisant appel a la theorie des capacites de choquet. Nous mettons en place une technique specifique qui nous permet d'exhiber des conditions moins contraignantes. Nous les exploitons ensuite, afin d'etendre les deux resultats de p. Hall a des situations plus generales, incluant celles etudiees par i. S. Molchanov. Partie 3. - nous presentons les resultats de la simulation du processus poissonien de droites dans le plan, que nous avons effectuee. Nous les comparons aux valeurs theoriques connues ainsi qu'aux valeurs numeriques approchees obtenues par des simulations effectuees anterieurement par d'autres chercheurs (i. Crain et r. E. Miles, e. George).
Microglial Phagocytosis Induced by Fibrillar β-Amyloid and IgGs Are Differentially Regulated by Proinflammatory Cytokines

Microglia undergo a phenotypic activation in response to fibrillar β-amyloid (fAβ) deposition in the brains of Alzheimer's disease (AD) patients, resulting in their elaboration of inflammatory molecules. Despite the presence of abundant plaque-associated microglia in the brains of AD patients and in animal models of the disease, microglia fail to efficiently clear fAβ deposits. However, they can be induced to do so during Aβ vaccination therapy attributable to anti-Aβ antibody stimulation of IgG receptor (FcR)-mediated phagocytic clearance of Aβ plaques. We report that proinflammatory cytokines attenuate microglial phagocytosis stimulated by fAβ or complement receptor 3 and argue that this may, in part, underlie the accumulation of fAβ-containing plaques within the AD brain. The proinflammatory suppression of fAβ-elicited phagocytosis is dependent on nuclear factor κB activation. Significantly, the proinflammatory cytokines do not inhibit phagocytosis elicited by antibody-mediated activation of FcR, which may contribute to the efficiency of Aβ vaccination-based therapy. Importantly, the proinflammatory suppression of fAβ phagocytosis can be relieved by the coincubation with anti-inflammatory cytokines, cyclooxygenase inhibitors, ibuprofen, or an E prostanoid receptor antagonist, suggesting that proinflammatory cytokines induce the production of prostaglandins, leading to an E prostanoid receptor-dependent inhibition of phagocytosis. These findings support anti-inflammatory therapies for the treatment of AD.