gebhart/patrepeval huggingface dataset:
Fundamentos teóricos na ação extensionista: o exemplo do Centro de Memória IFF/Maricá (2020)

Um dos programas de extensao do IFFluminense, o Centro de Memoria e dedicado a (re)conhecer, valorizar e divulgar a historia, as memorias e os patrimonios dos municipios e regioes que abrigam unidades da instituicao. Assim como para outros programas dessa modalidade, os dialogos com a comunidade sao as principais ferramentas de acao extensionista. Porem, essa dimensao mais “concreta” nao dispensa a equipe envolvida do cuidado com os fundamentos conceituais e teorico-metodologicos, que serao os referenciais para as atividades “extramuros” do projeto. Embora importante desde sempre, o trabalho de familiarizacao dos estudantes – por meio de leituras, discussoes em grupo e exercicios de compreensao conceitual – com os conceitos chave do projeto passaram ao primeiro plano devido ao cenario imposto pela pandemia da Covid-19. Iniciado em marco de 2020, poucas semanas antes do inicio da suspensao das atividades academicas presenciais no IFFluminense, o projeto “Memorias Maricaenses: entre o campus e a cidade” dedicou-se no primeiro semestre desse ano as leituras e discussoes de texto visando a formacao teorico-metodologica dos estudantes, para embasar acoes extensionistas no momento oportuno. Conceitos indispensaveis ao programa como historia, memoria, patrimonio e lugares de memoria sao apresentados neste III Encontro de Cultura a luz das realidades do municipio de Marica e tambem dos membros do projeto, que tiveram de se adaptar as praticas de extensao, quando possivel, no formato remoto. O video enviado pela equipe, a titulo de trabalho academico-cientifico, pretende deixar como legado uma sugestao para os programas de extensao – nao apenas o Centro de Memoria – valorizarem suas referencias conceituais. Essa dimensao formativa, alem de gerar maior seguranca nas acoes junto a comunidade, participa ativamente na formacao intelectual dos discentes.
Acesse o video: https://youtu.be/REsvYq_EYsE
Stereochemical Assignment of the C21–C38 Portion of the Desertomycin/Oasomycin Class of Natural Products by Using Universal NMR Databases: Proof (2000)

Prognostizierbare Konfiguration: Durch die stereoselektive Synthese des gemeinsamen C21–C38-Abbauprodukts von Oasomycin A und B wurde die relative Konfiguration dieses Ringabschnitts der Naturstoffe bestätigt, die vorhergesagt worden war auf der Grundlage einer vergleichenden Studie der chemischen Verschiebungen des C21–C38-Abschnitts der Naturstoffe und der Diastereomere des Abbauprodukts.
Biologically Inspired Design of Nanoparticle Artificial Antigen-Presenting Cells for Immunomodulation (2017)

Particles engineered to engage and interact with cell surface ligands and to modulate cells can be harnessed to explore basic biological questions as well as to devise cellular therapies. Biology has inspired the design of these particles, such as artificial antigen-presenting cells (aAPCs) for use in immunotherapy. While much has been learned about mimicking antigen presenting cell biology, as we decrease the size of aAPCs to the nanometer scale, we need to extend biomimetic design to include considerations of T cell biology-including T-cell receptor (TCR) organization. Here we describe the first quantitative analysis of particle size effect on aAPCs with both Signals 1 and 2 based on T cell biology. We show that aAPCs, larger than 300 nm, activate T cells more efficiently than smaller aAPCs, 50 nm. The 50 nm aAPCs require saturating doses or require artificial magnetic clustering to activate T cells. Increasing ligand density alone on the 50 nm aAPCs did not increase their ability to stimulate CD8+ T cells, confirming the size-dependent phenomenon. These data support the need for multireceptor ligation and activation of T-cell receptor (TCR) nanoclusters of similar sizes to 300 nm aAPCs. Quantitative analysis and modeling of a nanoparticle system provides insight into engineering constraints of aAPCs for T cell immunotherapy applications and offers a case study for other cell-modulating particles.
Quadratic associative memory hologram prepared by the polarization encoding process (1990)

As a higher order correlation model for associative memory, the quadratic associative memory(QAM) is implemented holographically by using the polarization encoding process. The use of polarization encoding to represent sign in the QAM tensor is made by twisted nematic liquid crystal light modulators. Experimental results of retrieving the stored objects from an imcomplete input are presented.
The Turing O-Machine and the DIME Network Architecture: Injecting the Architectural Resiliency into Distributed Computing (2018)

Turing’s o-machine discussed in his PhD thesis can perform all of the usual operations of a Turing machine and in addition, when it is in a certain internal state, can also query an oracle for an answer to a specific question that dictates its further evolution. In his thesis, Turing said 'We shall not go any further into the nature of this oracle apart from saying that it cannot be a machine.’ There is a host of literature discussing the role of the oracle in AI, modeling brain, computing, and hyper-computing machines. In this paper, we take a broader view of the oracle machine inspired by the genetic computing model of cellular organisms and the self-organizing fractal theory. We describe a specific software architecture implementation that circumvents the halting and un-decidability problems in a process workflow computation to introduce the architectural resiliency found in cellular organisms into distributed computing machines. A DIME (Distributed Intelligent Computing Element), recently introduced as the building block of the DIME computing model, exploits the concepts from Turing’s oracle machine and extends them to implement a recursive managed distributed computing network, which can be viewed as an interconnected group of such specialized oracle machines, referred to as a DIME network. The DIME network architecture provides the architectural resiliency through auto-failover; auto-scaling; live-migration; and end-to-end transaction security assurance in a distributed system. We demonstrate these characteristics using prototypes without the complexity introduced by hypervisors, virtual machines and other layers of ad-hoc management software in today’s distributed computing environments.
Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties (2021)

Distribution system state estimation (DSSE) plays a significant role for the system operation management and control. Due to the multiple uncertainties caused by the non-Gaussian measurement noise, inaccurate line parameters, stochastic power outputs of distributed generations (DG), and plug-in electric vehicles (EV) in distribution systems, the existing interval state estimation (ISE) approaches for DSSE provide fairly conservative estimation results. In this paper, a new ISE model is proposed for distribution systems where the multiple uncertainties mentioned above are well considered and accurately established. Moreover, a modified Krawczyk-operator (MKO) in conjunction with interval constraint-propagation (ICP) algorithm is proposed to solve the ISE problem and efficiently provides better estimation results with less conservativeness. Simulation results carried out on the IEEE 33-bus, 69-bus, and 123-bus distribution systems show that the our proposed algorithm can provide tighter upper and lower bounds of state estimation results than the existing approaches such as the ICP, Krawczyk-Moore ICP(KM-ICP), Hansen, and MKO.
Two-In-One Texturing and Polishing in One Solution (2012)

Texturing and polishing crystalline silicon in the PV industry are both time consuming and inefficient, the need for a streamlined solution is prevalent. To obtain high conversion efficiency surface decoupling is needed, one side0 of the wafer is ideally textured while the other is completely polished. The standard industrial process results in a total silicon loss of 40μm and a complete surface decoupling cycle time in the order of an hour from an as cut until diffusion ready. For an industrial wafer thickness of 180μm more than 20% of the silicon is lost. In addition to silicon loss, there are multiple wet processing steps needed for decoupling which are time consuming and hinder the high throughput manufacturing needed to achieve the ultimate goal of a low per watt peak price. The technique is proposed in this paper decouples the front and rear surfaces and utilizes in only one wet process step for both texturing and polishing. This process simplification leads to significant savings by decreasing costly cycle time, saving consumables and reducing the amount of silicon loss.
Generation and Transmission of a 400-Gb/s PDM/WDM Signal Using a Monolithic 2×4 VCSEL Array and Coherent Detection (2014)

We generate a 400-Gb/s polarization-division-multiplexed (PDM) and wavelength-division-multiplexed (WDM) 4-level pulse-amplitude-modulation signal using a 2x4 PDM/WDM monolithic VCSEL array and successfully transmit the signal over 400-km standard-single-mode-fiber using digital coherent detection.
The AES-CMAC Algorithm (2006)

The National Institute of Standards and Technology (NIST) has recently
specified the Cipher-based Message Authentication Code (CMAC), which
is equivalent to the One-Key CBC MAC1 (OMAC1) submitted by Iwata and
Kurosawa. This memo specifies an authentication algorithm based on
CMAC with the 128-bit Advanced Encryption Standard (AES). This new
authentication algorithm is named AES-CMAC. The purpose of this
document is to make the AES-CMAC algorithm conveniently available to
the Internet Community. This memo provides information for the
Internet community.
Temperature Compensation Servo Algorithm for Holographic Data Storage (2010)

Photopolymers are widely used as media for holographic data storage because of their high dynamic range, high photosensitivity and availability. However, the most photopolymers have a large coefficient of linear thermal expansion. Therefore, it is known that the temperature changes cause deterioration of readout image under the Bragg-mismatch conditions. This paper proposes a new servo algorithm which includes both the servo error signals detection method and the automatic compensation procedures with feedback servo for the holographic data storage system. Experimental results for the proposed technique are demonstrated for temperature changes of up to +25 K successfully.
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning (2022)

Humans are capable of abstracting various tasks as different combinations of multiple attributes. This perspective of compositionality is vital for human rapid learning and adaption since previous experiences from related tasks can be combined to generalize across novel compositional settings. In this work, we aim to achieve zero-shot policy generalization of Reinforcement Learning (RL) agents by leveraging the task compositionality. Our proposed method is a meta- RL algorithm with disentangled task representation, explicitly encoding different aspects of the tasks. Policy generalization is then performed by inferring unseen compositional task representations via the obtained disentanglement without extra exploration. The evaluation is conducted on three simulated tasks and a challenging real-world robotic insertion task. Experimental results demonstrate that our proposed method achieves policy generalization to unseen compositional tasks in a zero-shot manner.
Wide feature dielectric planarization using MnO/sub 2/ slurry (2002)

We used MnO/sub 2/ slurry for dielectric planarization. We found that MnO/sub 2/ slurry has an ample removal rate at a low polishing pressure, whereas conventional slurry does not. Therefore, MnO/sub 2/ slurry can planarize dielectric more completely, with less lower level removal than conventional slurry.
Learning primary feature in compressive sampling space: a sparse representation study (2013)

In most biological metabolic processes, protein-protein interactions (PPIs) play a vital important role, the identification of which has been attracting much effort and devotion. Nevertheless, there are still many difficulties because of lacking enough information such as protein homology, protein structure and so on. Accordingly, a novel sequence-based computational method is proposed to predict PPIs and has achieved a promising performance. This method was put forward by incorporating primary feature representation with compressed learning theory framework. When applied to the PPI data of yeast Saccharomyces cerevisiae, it shows an inspiring result and also performs well in an independent dataset. Our results not only demonstrate compressed learning theory framework is suitable for PPIs prediction, but also imply that it has potential applications in many other bioinformatics problems.
Extracting More Information from Rig Source 3C-VSPs (2017)

Summary Different VSP datasets studied by surface seismic geophysicists inspired three short notes, illustrating aspects seldom related by borehole seismic geophysicists: The first arrival times constitute the basic information from VSP’s, considered as the modern form of checkshots: therefore, the surface seismic processing operators would like to read the root mean square stacking velocity (Vrms) and the divergence factor (V2T), expressed versus vertical two way times (twt) in the VSP reports. Signal-to-Noise conditions in deep boreholes can be an issue in open hole sections: a critical case of noisy hole conditions during VSP acquisition has been analysed, concluding to the presence of infiltration microseismic noise near-linearly polarized into the preferred permeability azimuth in the plane radial to the borehole axis. Complex, interfered downgoing wavetrain obverved in borehole seismic indicates multipath seismic propagation in a heretogeneous medium. Time pick of “first arrival” is rendered approximate, at best, and signature deconvolution is often impossible, except in the case where the spatial distribution of the multipath wavetrain remains within a small solid angle, as verified from oriented 3C VSP records. In such case, a depth variant downgoing incident signature can be defined to properly compress the VSP data corridor stack domain.
Isolation of pulmonary veins using a thermoreactive implantable device with external energy transfer: Evaluation in a porcine model (2018)

Successful PVI can be obtained by external electromagnetic heat transfer to a novel pulmonary vein implant.
Error analysis of pure rotation-based self-calibration (2004)

Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is virtually impossible to ensure that the camera motion for this type of self-calibration is a pure rotation. In this paper, we present an error analysis of recovered intrinsic camera parameters due to the presence of translation. We derived closed-form error expressions for a single pair of images with nondegenerate motion; for multiple rotations for which there are no closed-form solutions, analysis was done through repeated experiments. Among others, we show that translation-independent solutions do exist under certain practical conditions. Our analysis can be used to help choose the least error-prone approach (if multiple approaches exist) for a given set of conditions.
Second-Order Blind Signal Separation for Convolutive Mixtures Using Conjugate Gradient (2008)

This letter presents a new computational procedure for the second-order gradient-based blind signal separation (BSS) problem with convolutive mixtures that has improved convergence characteristics over the steepest descent algorithm. The BSS problem is formulated as a constrained optimization problem with complex unmixing weight matrices where the constraints are formulated to overcome the permutation effects. This problem is then transformed into an unconstrained optimization problem, so that the conjugate gradient algorithm can be applied. The convergence of the proposed procedure is compared with the steepest descent algorithms in real and simulated environments.
RBM45 associates with nuclear stress bodies and forms nuclear inclusions during chronic cellular stress and in neurodegenerative diseases (2020)

The RNA binding protein (RBP) RBM45 forms nuclear and cytoplasmic inclusions in neurons and glia in amyotrophic lateral sclerosis (ALS), frontotemporal lobar degeneration with TDP-43 proteinopathy (FTLD-TDP), and Alzheimer's disease (AD). The normal functions of RBM45 are poorly understood, as are the mechanisms by which it forms inclusions in disease. To better understand the normal and pathological functions of RBM45, we evaluated whether the protein functions via association with several membraneless organelles and whether such an association could promote the formation of nuclear RBM45 inclusions. Under basal conditions, RBM45 is diffusely distributed throughout the nucleus and does not localize to membraneless organelles, including nuclear speckles, Cajal bodies, or nuclear gems. During cellular stress, however, nuclear RBM45 undergoes a reversible, RNA-binding dependent incorporation into nuclear stress bodies (NSBs). Chronic stress leads to the persistent association of RBM45 with NSBs and the irreversible accumulation of nuclear RBM45 inclusions. We also quantified the cell type- and disease-specific patterns of RBM45 pathology in ALS, FTLD-TDP, and AD. RBM45 nuclear and cytoplasmic inclusions are found in both neurons and glia in ALS, FTLD-TDP, and AD but are absent in non-neurologic disease controls. Across neurodegenerative diseases, RBM45 nuclear inclusion pathology occurs more frequently than cytoplasmic RBM45 inclusion pathology and exhibits cell type-specific variation. Collectively, our results define new stress-associated functions of RBM45, a mechanism for nuclear RBM45 inclusion formation, a role for NSBs in the pathogenesis of ALS, FTLD-TDP, and AD, and further underscore the importance of protein self-association to both the normal and pathological functions of RBPs in these diseases.
[Correlations between membrane integrins and granulocyte defects in myelodysplastic syndromes]. (1993)

The aim of the present study was to evaluate some functions of neutrophil granulocytes (PMNs), such as aggregation, superoxide production, chemotaxis and adhesion molecules involved in these processes, in 22 patients suffering from Myelodysplastic Syndrome (MDS), to clarify if granulocytes alterations described in this syndrome is really correlated with the expression of surface membrane integrins. Several patients suffering from MDS present granulocytopenia and/or absolute monocytoses; neutrophil granulocytes can have typical nuclear and cytoplasmatic alterations. These granulocytic anomalies are valuable in about 90% of patients suffering from MDS. The granulocytes showed a significant deficit in chemotaxis stimulated by serum activated with E. Coli, casein and formyl-methionyl-leucylphenylalanine (fMLP) (p < 0.01) and in superoxide production stimulated by phorbol-myristate-acetate (PMA). We also studied the role of membrane integrin CD11/CD18 using specific monoclonal antibodies (MoAb). The cytofluorimetric analysis demonstrated a significant inhibition in expression of CD11b/CD18 receptors in patients suffering from MDS (p < 0.001), while the expression of CD11a/CD18 and CD11c/CD18 receptors was normal. In conclusion we found specific alterations in PMNs functions in MDS and a correlation of these anomalies with membrane integrins of PMNs is therefore possible.
Type beta transforming growth factors promote interleukin-3 (IL-3)- dependent differentiation of human basophils but inhibit IL-3-dependent differentiation of human eosinophils (1992)

Basophils and eosinophils share a common differentiation pathway. Factors regulating terminal commitment toward one cell type, however, have so far not been defined. Interleukin-3 (IL-3) is a potent differentiation factor for both human eosinophils and basophils. In the present study, the effects of various recombinant human (rh) growth regulators on IL-3-dependent growth of eosinophils and basophils were studied in a bone marrow (BM) suspension culture system (normal donors, n = 13). We found that type beta transforming growth factors (TGFs) lead to a significant increase in the absolute numbers of basophils in BM cultures grown in the presence of IL-3 (day 14 of culture; IL-3: 133 +/- 20 v IL-3 + TGF-beta 1: 231 +/- 28 x 10(3)/mL [P less than .01]) and to an increase in the total histamine values (IL-3: 72.6 +/- 22.2 v IL-3 + TGF-beta 1: 142.9 +/- 37.3 ng/mL [P less than .015]) compared with rhIL-3 alone. In contrast, type beta TGFs were found to inhibit the IL-3-dependent growth of eosinophils (IL-3: 170.4 +/- 37.2 v IL-3 + TGF-beta 1: 16.7 +/- 5.2 x 10(3)/mL [P less than .01]) and formation of eosinophil cationic protein in the same culture system. The effect of TGF-beta 1 (and TGF-beta 2) on IL-3-dependent differentiation of basophils and eosinophils was dose- and time-dependent (maximum effects observed with 1 to 10 ng/mL of rhTGF-beta 1 or TGF-beta 2) and could be neutralized by an antibody specific for TGF-beta 1. In contrast to the TGFs, interferon-alpha (IFN-alpha) and IFN-gamma were found to downregulate IL-3-dependent formation of both basophils (IL-3: 167 +/- 33 v IL-3 + IFN-alpha: 67 +/- 25 v IL-3 + IFN-gamma: 65 +/- 33 x 10(3)/mL [P less than .01]) and eosinophils (IL-3: 239 +/- 5 v IL-3 + IFN-alpha: 81 +/- 4 v IL-3 + IFN-gamma: 67 +/- 17 x 10(3)/mL [P less than .05]) in our culture system. Type beta TGFs as well as the IFNs failed to directly induce differentiation of human basophils or eosinophils in the absence of other growth factors. Together, these results show that type beta TGFs and IFNs are potent regulators of cytokine-dependent growth and differentiation of human allergic effector cells.
Decision Making Errors in the Use of Interlocking Tibial Nails (1997)

Seventy-one fractures of the tibial shaft were treated with interlocking intramedullary nails. None of the fractures were treated with static locking of the intramedullary nails. These 71 fractures were studied to determine whether certain fracture patterns are prone to loss of alignment when static interlocking is not used. Loss of alignment was defined as shortening of 1 cm or more and/or change in angulation of at least 5 degrees. Loss of alignment occurred in eight of the 71 (11%) fractures. Shortening and/or angulation occurred in seven of 22 spiral and short oblique fractures, and in none of 27 transverse fracture patterns. It was concluded that the dynamically locked and nonlocked modes of intramedullary nailing should not be used in the stabilization of spiral and oblique fractures of the tibial shaft.