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Journal articles on the topic "62R07":

1

Aribawati, Diesta, Firosalia Kristin, and Indri Anugraheni. "PENERAPAN MODEL PEMBELAJARAN INKUIRI TERBIMBING UNTUK MENINGKATKAN KREATIVITAS DAN HASIL BELAJAR IPA SISWA KELAS 3 SD." Justek : Jurnal Sains dan Teknologi 1, no. 1 (April 18, 2018): 70. http://dx.doi.org/10.31764/justek.v1i1.407.

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Abstrak: Penelitian ini bertujuan untuk meningkatkan kreativitas dan hasil belajar IPA siswa. PTK adalah jenis penelitian yang digunakan dalam penelitian ini. Subjek penelitian adalah siswa kelas 3 SD Negeri Tegalrejo 01 yang berjumlah 29 siswa. Teknik pengumpulan data yang digunakan adalah teknik tes, observasi, dan dokumentasi. Teknik analisis data yang digunakan berupa deskriptif kuantitatif dan kualitatif. Hal ini dilihat dari peningkatan kreativitas belajar pra siklus sebesar 41,38% meningkat menjadi 62,07% pada siklus I dan 89,65% pada siklus II. Sedangkan untuk hasil belajar pra siklus menunjukkan ketuntasan belajar sebesar 37,93% kemudian meningkat pada siklus I menjadi 65,52% dan 93,10% pada siklus II. Abstract: This study aims to improve the creativity and learning outcomes of science students. PTK is the type of research used in this study. The subjects of the study were the 3rd graders of SD Negeri Tegalrejo 01, which amounted to 29 students. Data collection techniques used are test techniques, observation, and documentation. Data analysis techniques used in the form of descriptive quantitative and qualitative. This is seen from the increase of pre-cycle learning creativity by 41.38% increased to 62.07% in the first cycle and 89.65% in cycle II. While for pre-cycle learning result show mastery learn equal to 37,93% then increase in cycle I become 65,52% and 93,10% in cycle II.
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Marcelin, Anne-Geneviève, Charlotte Charpentier, Aude Jary, Marine Perrier, Nicolas Margot, Christian Callebaut, Vincent Calvez, and Diane Descamps. "Frequency of capsid substitutions associated with GS-6207 in vitro resistance in HIV-1 from antiretroviral-naive and -experienced patients." Journal of Antimicrobial Chemotherapy 75, no. 6 (March 10, 2020): 1588–90. http://dx.doi.org/10.1093/jac/dkaa060.

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Abstract Background GS-6207 is a first-in-class HIV capsid inhibitor, targeting several functions of the HIV capsid in the viral cycle, including viral particle assembly, capsid formation and nuclear entry. GS-6207 has demonstrated picomolar potency in vitro, activity confirmed by high potency in a Phase 1 clinical study, with a long-acting antiretroviral profile with potential dosing every 6 months. In vitro resistance selections previously conducted with increasing doses of GS-6207 have identified capsid variants with reduced susceptibility to GS-6207. Objectives To study the prevalence of capsid mutations associated with in vitro resistance to GS-6207 in people living with HIV (PLWH). Methods Plasma samples from ART-naive or -experienced PLWH, including PI-experienced people, were sequenced and analysed for the presence of capsid variants identified during in vitro resistance selection: L56I, M66I, Q67H, K70N, N74D, N74S and T107N. Results Among the samples from the 1500 patients studied, none of the seven GS-6207 resistance mutations identified during in vitro selection experiments was detected, regardless of HIV subtype or PLWH treatment history. Conclusions Out of the seven HIV capsid substitutions previously selected in vitro and shown to confer phenotypic resistance to GS-6207, none of these seven mutations was observed in this large dataset, suggesting that neither PLWH with previous PI failure nor PLWH with emergence of PI resistance mutations are anticipated to impact GS-6207 activity in these diverse HIV-infected populations.
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Bester, Stephanie M., Guochao Wei, Haiyan Zhao, Daniel Adu-Ampratwum, Naseer Iqbal, Valentine V. Courouble, Ashwanth C. Francis, et al. "Structural and mechanistic bases for a potent HIV-1 capsid inhibitor." Science 370, no. 6514 (October 15, 2020): 360–64. http://dx.doi.org/10.1126/science.abb4808.

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The potent HIV-1 capsid inhibitor GS-6207 is an investigational principal component of long-acting antiretroviral therapy. We found that GS-6207 inhibits HIV-1 by stabilizing and thereby preventing functional disassembly of the capsid shell in infected cells. X-ray crystallography, cryo–electron microscopy, and hydrogen-deuterium exchange experiments revealed that GS-6207 tightly binds two adjoining capsid subunits and promotes distal intra- and inter-hexamer interactions that stabilize the curved capsid lattice. In addition, GS-6207 interferes with capsid binding to the cellular HIV-1 cofactors Nup153 and CPSF6 that mediate viral nuclear import and direct integration into gene-rich regions of chromatin. These findings elucidate structural insights into the multimodal, potent antiviral activity of GS-6207 and provide a means for rationally developing second-generation therapies.
4

Akther, Thamina, William M. McFadden, Huanchun Zhang, Karen A. Kirby, Stefan G. Sarafianos, and Zhengqiang Wang. "Design and Synthesis of New GS-6207 Subtypes for Targeting HIV-1 Capsid Protein." International Journal of Molecular Sciences 25, no. 7 (March 27, 2024): 3734. http://dx.doi.org/10.3390/ijms25073734.

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HIV-1 capsid protein (CA) is the molecular target of the recently FDA-approved long acting injectable (LAI) drug lenacapavir (GS-6207). The quick emergence of CA mutations resistant to GS-6207 necessitates the design and synthesis of novel sub-chemotypes. We have conducted the structure-based design of two new sub-chemotypes combining the scaffold of GS-6207 and the N-terminal cap of PF74 analogs, the other important CA-targeting chemotype. The design was validated via induced-fit molecular docking. More importantly, we have worked out a general synthetic route to allow the modular synthesis of novel GS-6207 subtypes. Significantly, the desired stereochemistry of the skeleton C2 was confirmed via an X-ray crystal structure of the key synthetic intermediate 22a. Although the newly synthesized analogs did not show significant potency, our efforts herein will facilitate the future design and synthesis of novel subtypes with improved potency.
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Sun, Qinfang, Ronald M. Levy, Karen A. Kirby, Zhengqiang Wang, Stefan G. Sarafianos, and Nanjie Deng. "Molecular Dynamics Free Energy Simulations Reveal the Mechanism for the Antiviral Resistance of the M66I HIV-1 Capsid Mutation." Viruses 13, no. 5 (May 15, 2021): 920. http://dx.doi.org/10.3390/v13050920.

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While drug resistance mutations can often be attributed to the loss of direct or solvent-mediated protein−ligand interactions in the drug-mutant complex, in this study we show that a resistance mutation for the picomolar HIV-1 capsid (CA)-targeting antiviral (GS-6207) is mainly due to the free energy cost of the drug-induced protein side chain reorganization in the mutant protein. Among several mutations, M66I causes the most suppression of the GS-6207 antiviral activity (up to ~84,000-fold), and only 83- and 68-fold reductions for PF74 and ZW-1261, respectively. To understand the molecular basis of this drug resistance, we conducted molecular dynamics free energy simulations to study the structures, energetics, and conformational free energy landscapes involved in the inhibitors binding at the interface of two CA monomers. To minimize the protein−ligand steric clash, the I66 side chain in the M66I−GS-6207 complex switches to a higher free energy conformation from the one adopted in the apo M66I. In contrast, the binding of GS-6207 to the wild-type CA does not lead to any significant M66 conformational change. Based on an analysis that decomposes the absolute binding free energy into contributions from two receptor conformational states, it appears that it is the free energy cost of side chain reorganization rather than the reduced protein−ligand interaction that is largely responsible for the drug resistance against GS-6207.
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Madan, Ravi Amrit, Nishith K. Singh, Ann Wild Gramza, Antonio Tito Fojo, Christopher Ryan Heery, Joseph W. Kim, Sheri McMahon, et al. "A phase II study of a yeast-based therapeutic cancer vaccine, GI-6207, targeting CEA in patients with minimally symptomatic, metastatic medullary thyroid cancer." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): TPS3127. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.tps3127.

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TPS3127 Background: Saccharomyces cerevisiae has been genetically modified to express CEA protein and developed under a CRADA with GlobeImmune/NCI as a heat-killed immune-stimulating, therapeutic cancer vaccine (GI-6207). A phase I study with GI-6207 demonstrated safety, biomarker stabilization and enhanced immune response in some patients. CEA is over-expressed in multiple malignancies, including medullary thyroid cancer (MTC). Two therapies recently approved by the FDA for metastatic MTC (vandetanib, cabozantinib) come with toxicity and should be reserved for symptomatic/progressive disease. However, a large population of asymptomatic MTC patients has small tumor burden and/or disease that is more indolent. The standard management of these patients is observation. Preliminary data suggest that tumor growth measured by the rate of CEA and calcitonin increase can be quantified in a 3-6 months. Retrospective data from prostate cancer studies suggest vaccines can alter growth rates within 3-4 months. We hypothesize that GI-6207 can alter tumor growth rates in MTC and impact long-term outcome. Methods: A phase II study will evaluate the effect of GI-6207 onthe rates ofincrease in calcitonin in metastatic MTC. 34 patients with minimally symptomatic, radiographically evaluable, metastatic MTC will be randomized 1:1. Arm A will receive vaccine for a year from the time of enrollment. Arm B will receive vaccine after 6 months of surveillance. GI-6207 will be administered subcutaneously at 4 sites (10 yeast units/site), every 2 weeks for 3 months, then monthly up to 1 year. The primary endpoint will compare the effect of GI-6207 on calcitonin kinetics between the vaccine and surveillance arms in the first 6 months. Secondary endpoints include immunologic responses (including antigen-specific T cell responses), objective responses, time to progression, and changes in CEA kinetics. If this trial can prospectively demonstrate that vaccines can alter tumor growth rates, and if such changes are associated with clinical outcomes, then changes in tumor growth rates may become a clinical metric to evaluate vaccine efficacy in MTC and other populations.
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Battenberg, J. Friedrich. "Bayerisches Hauptstaatsarchiv. Reichskammergericht Band 15 Nr. 6207-6705." Zeitschrift der Savigny-Stiftung für Rechtsgeschichte: Germanistische Abteilung 128, no. 1 (August 1, 2011): 667. http://dx.doi.org/10.7767/zrgga.2011.128.1.667.

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Nikolic, Nevena, Sarah Kleinstein, Jelena Radenkovic, and Milan Kovacevic. "Abstract 6207: Exploring colorectal cancer with ARIA: Biomedical insights." Cancer Research 84, no. 6_Supplement (March 22, 2024): 6207. http://dx.doi.org/10.1158/1538-7445.am2024-6207.

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Abstract Gaining the promised benefits from the population-scale datasets, both clinical and genomic, is often hindered by the inability to easily access, explore and manipulate such complex data - a difficulty that ARIA was designed to overcome. In the field of biomedicine, organizations harness extensive datasets, gaining profound insights into patients and participants, thereby unleashing possibilities for accelerating research, especially in the realms of drug development and precision medicine. To facilitate navigation through the intricate landscape of biomedical data, Velsera has innovated ARIA to catalyse efficient and insightful analysis, with a keen emphasis on user-friendliness to ensure accessibility across a diverse professional audience. To demonstrate the practical application of ARIA, we explore genomic and clinical datasets to identify key differences in colorectal cancer progression. CRC, the third most common cancer globally, has unique characteristics in origination and progression from benign to pathogenic. Here we investigate differences between patients with polyps that do and do not progress to CRC, including key environmental factors such as smoking history, inactive lifestyle and obesity in conjunction with their known clinical and genetic risk factors. This exploration into the abilities of ARIA demonstrate the ability to analyse complex datasets combining both clinical and genomics data at a large scale. For the purpose of this demonstration, a Synthea Dataset, encompassing synthetic clinical and genomic data for 122,011 patients across various age groups, was utilized. This dataset was generated by Velsera specifically for testing ARIA functionalities. In conclusion, ARIA empowers efficient analysis of complex biomedical datasets, providing a comprehensive understanding of disease mechanisms and facilitating valuable insights. Citation Format: Nevena Nikolic, Sarah Kleinstein, Jelena Radenkovic, Milan Kovacevic. Exploring colorectal cancer with ARIA: Biomedical insights [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6207.
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Naruse, H., S. Nagataki, H. Gomi, and H. Jinnai. "Revision of JIS A 6207 ^|^ldquo;Silica fume for use in concrete^|^rdquo;." Concrete Journal 49, no. 12 (2011): 12_10–12_16. http://dx.doi.org/10.3151/coj.49.12_10.

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Dressler, Robert, Hania Janek, Lauren Sager, David S. Kountz, and Judi Gravdal. "Learning Collaboratives in Medical Education: Exploring the Impact of Collaboratives’ Structure and Resources and Teams’ Experience." American Journal of Medical Quality 35, no. 4 (October 4, 2019): 297–305. http://dx.doi.org/10.1177/1062860619877941.

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The Alliance of Independent Academic Medical Centers (AIAMC) organized and coordinated a multicenter learning collaborative, National Initiative V (NI V), focused on community health and health inequity. A pre–post descriptive study was designed to examine the outcomes of the AIAMC NI V. Data were collected from pre- and post-assessment surveys as well as a project milestone self-assessment survey. Twenty-nine institutions participated. By the conclusion of the NI, the majority of institutions had completed at least 1 of the milestones in each of the pre-work/background (65.52%), measurement (62.07%), methods (62.07%), and implement/sustain (20.69%) domains. Institutions reported a significant association between their readiness assessments prior to the start of the NI compared with their status of activities on completion. Milestone achievement is significantly associated with 3 of the assessment items. Learning collaboratives with thoughtfully integrated structure and support can be impactful on topic readiness for the participating organizations.

Dissertations / Theses on the topic "62R07":

1

Neirac, Lucie. "Learning with a linear loss function : excess risk and estimation bounds for ERM and minimax MOM estimators, with applications." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG012.

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La détection de communautés sur des graphes, la récupération de phase, le clustering signé, la synchronisation angulaire, le problème de la coupe maximale, la sparse PCA, ou encore le single index model, sont des problèmes classiques dans le domaine de l'apprentissage statistique. Au premier abord, ces problèmes semblent très dissemblables, impliquant différents types de données et poursuivant des objectifs distincts. Cependant, la littérature récente révèle qu'ils partagent un point commun : ils peuvent tous être formulés sous la forme de problèmes d'optimisation semi-définie positive (SDP). En utilisant cette modélisation, il devient possible de les aborder du point de vue classique du machine learning, en se basant sur la minimisation du risque empirique (ERM) et en utilisant la fonction de perte la plus élémentaire: la fonction de perte linéaire. Cela ouvre la voie à l'exploitation de la vaste littérature liée à la minimisation du risque, permettant ainsi d'obtenir des bornes d'estimation et de développer des algorithmes pour résoudre ces problèmes. L'objectif de cette thèse est de présenter une méthodologie unifiée pour obtenir les propriétés statistiques de procédures classiques en machine learning basées sur la fonction de perte linéaire. Cela s'applique notamment aux procédures SDP, que nous considérons comme des procédures ERM. L'adoption d'un “point de vue machine learning” nous permet d'aller plus loin en introduisant d'autres estimateurs performants pour relever deux défis majeurs en apprentissage statistique : la parcimonie et la robustesse face à la contamination adversaire et aux données à distribution à queue lourde. Nous abordons le problème des données parcimonieuses en proposant une version régularisée de l'estimateur ERM. Ensuite, nous nous attaquons au problème de la robustesse en introduisant un estimateur basé sur le principe de la "Médiane des Moyennes" (MOM), que nous nommons l'estimateur minmax MOM. Cet estimateur permet de faire face au problème de la robustesse et peut être utilisé avec n'importe quelle fonction de perte, y compris la fonction de perte linéaire. Nous présentons également une version régularisée de l'estimateur minmax MOM. Pour chacun de ces estimateurs, nous sommes en mesure de fournir un “excès de risque” ainsi que des bornes d'estimation, en utilisant deux outils clés : les points fixes de complexité locale et les équations de courbure de la fonction d'excès de risque. Afin d'illustrer la pertinence de notre approche, nous appliquons notre méthodologie à cinq problèmes classiques en machine learning, pour lesquels nous améliorons l'état de l'art
Community detection, phase recovery, signed clustering, angular group synchronization, Maxcut, sparse PCA, the single index model, and the list goes on, are all classical topics within the field of machine learning and statistics. At first glance, they are pretty different problems with different types of data and different goals. However, the literature of recent years shows that they do have one thing in common: they all are amenable to Semi-Definite Programming (SDP). And because they are amenable to SDP, we can go further and recast them in the classical machine learning framework of risk minimization, and this with the simplest possible loss function: the linear loss function. This, in turn, opens up the opportunity to leverage the vast literature related to risk minimization to derive excess risk and estimation bounds as well as algorithms to unravel these problems. The aim of this work is to propose a unified methodology to obtain statistical properties of classical machine learning procedures based on the linear loss function, which corresponds, for example, to the case of SDP procedures that we look as ERM procedures. Embracing a machine learning view point allows us to go into greater depth and introduce other estimators which are effective in handling two key challenges within statistical learning: sparsity, and robustness to adversarial contamination and heavy-tailed data. We attack the structural learning problem by proposing a regularized version of the ERM estimator. We then turn to the robustness problem and introduce an estimator based on the median of means (MOM) principle, which we call the minmax MOM estimator. This latter estimator addresses the problem of robustness and can be constructed whatever the loss function, including the linear loss function. We also present a regularized version of the minmax MOM estimator. For each of those estimators we are able to provide excess risk and estimation bounds, which are derived from two key tools: local complexity fixed points and curvature equations of the excess risk function. To illustrate the relevance of our approach, we apply our methodology to five classical problems within the frame of statistical learning, for which we improve the state-of-the-art results
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Faghihirad, Shervin. "Modelling of flows through hydraulic structures and interaction with sediment." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/62107/.

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A three-dimensional layer integrated morphodynamic model has been developed to predict the hydrodynamic, sediment transport and morphological processes in a regulated reservoir. The model was based on an existing sediment transport model, with improvements being made. A bed evolution module based on the mass balance equation has been developed to determine the bed level change due to sediment transport. The horizontal eddy viscosity coefficient was equated to the depth averaged eddy viscosity, based on the horizontal velocity distribution while the vertical eddy viscosity coefficient was evaluated using the layer integrated form of the - equations. This scheme enhances the accuracy of the computed velocity and suspended sediment concentration distributions. The highly accurate ULTIMATE QUICKEST scheme was used to represent the advective terms in solving the advective-diffusion equation for suspended sediment transport. An explicit finite difference scheme has been developed for the bed sediment mass balance equation to calculate bed level changes. The numerical model was verified against laboratory data obtained from experiments in a trench and a partially closed channel. A physical model was constructed to represent the flow, sediment transport and morphodynamic processes in Hamidieh regulated reservoir. The physical model was designed based on the Froude similarity law and was undistorted. The model sediment size was determined in such a manner that the same ratio of particle fall velocity to shear velocity is maintained for both the model and prototype reservoir. Stokes law was used in calculating the particle fall velocity. The physical model results confirmed that the normal water surface elevation in the reservoir should increase by up to 25 cm in order to reach the nominal flow discharge diverted to the intakes. The numerical model was then applied to the scaled physical model of the reservoir and the associated water intakes and sluice gates. Various scenarios were tested to investigate the effects of different situations of diverting flow and sediment transport regimes, as well as to establish how these operations affect the morphodynamic processes in the reservoir and the vicinity of hydraulic structures. The model predictions agreed with measured data generally well. The numerical model results revealed the possibility of forming sedimentary islands in the regulated reservoir and it is uneconomical to set up a dredging zone near the one of the intakes. In summary, the integrated numerical and physical modelling approach showed many benefits and could help to optimize time and budget for design hydraulic structures. Key words: morphodynamic numerical model, turbulent flow, regulated reservoir, three- dimensional flow, laboratory tests.
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Mihalyi, Agnes. "Screening for novel inhibitors of phospho-MurNAc-pentapeptide translocase MraY." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/62707/.

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Bacterial drug resistance is an increasingly serious problem that threatens public health and researchers need to develop new drugs. The biosynthetic pathway of the bacterial peptidoglycan is a known and good target for the development of novel antibacterial agents. This research project focused on the first lipid-linked step of peptidoglycan biosynthesis. The enzyme required for this step is Phospho-MurNAc-pentapeptide Translocase MraY. Our aim was to screen for novel inhibitors of MraY. A continuous fluorescence MraY assay was developed and optimised to test known and potential inhibitors such as nucleoside natural products, antimicrobial peptides and structurally new small molecule potential inhibitors. The fluorescence assay was adapted to a high-throughput fluorescence assay in microtitre plate format and around 2,000 compounds were screened from the diversity set of the National Cancer Institute (NCI) against MraY in order to identify novel inhibitors. However, around 22 % of the test compounds from the diversity set interfered with fluorescence. Therefore, a radiochemical MraY assay was developed as an independent method. We eventually identified one potential MraY inhibitor from the diversity set, the naphthylisoquinoline alkaloid, michellamine B, with IC50 values of 400 and 340 μg/ml against E. coli and B. subtilis MraY respectively. The compound showed antibacterial activity against B. subtilis with an MIC value of 16 μg/ml. It was established that MraY inhibition from the pacidamycin producer, S. coeruleorubidus, was detectable directly from culture supernatants by the fluorescence and by the radiochemical MraY assays. Therefore, we tested culture supernatants and cell extracts from various Streptomyces strains. MraY inhibition was observed using cell extracts from Streptomyces venezuelae, and higher levels of inhibition were observed from a gbnB/gbnR S. venezuelae mutant, though it was not possible to identify the active species present. Following an earlier report of halogenated fluoresceins identified from a combined MraY/MurG screen, we also tested several halogenated fluoresceins, and found that phloxine B, a tetra-bromo fluorescein analogue, was an inhibitor of E. coli MraY with an IC50 value of 32 μM, and also inhibited MraY from P. aeruginosa, B. subtilis, M. flavus and S. aureus with IC50 values ranging between 100 and 210 μg/ml.
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Ignasiak, Katarzyna. "Investigating antimicrobial resistance in the gut bacteria of insects feeding on plants." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/62307/.

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It has been previously described that antibiotic-resistant bacteria can be found in the guts of insects feeding on a variety of plants and not exposed to significant levels of antibiotics. Such naturally-occurring resistance has implications for clinically-relevant antibiotic resistance, which is a worldwide problem, and for using plants as a source of potential novel antibiotics. We investigated this phenomenon further. Firstly, we searched for antibiotic resistance in different insects’ guts and explored its origin, using two lepidopteran hosts feeding on artificial food containing either ciprofloxacin or oxytetracycline. We discovered that these antibiotics have a diverse impact on the insect gut microbiome, beyond simply inducing antibiotic resistance. Secondly, we used the insect gut bacteria to identify plant extracts with antibacterial activity, and purified their active fractions. We found that vindoline, from leaf extract, and serpentine, from root extract, are the most abundant metabolites in active fractions of Madagascar periwinkle extracts. Finally, we developed one of the insect species we used, Galleria mellonella, into a laboratory model for antibiotic efficacy testing, toxicity testing and as a model for human baby gut. In summary, in this project we explored different aspects of the antibiotic resistance that can be found in the insect gut and used it to guide us towards plant metabolites with antibacterial properties.
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Pribadi, Aaron. "Algebraic Methods for Log-Linear Models." Scholarship @ Claremont, 2012. https://scholarship.claremont.edu/hmc_theses/41.

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Techniques from representation theory (Diaconis, 1988) and algebraic geometry (Drton et al., 2008) have been applied to the statistical analysis of discrete data with log-linear models. With these ideas in mind, we discuss the selection of sparse log-linear models, especially for binary data and data on other structured sample spaces. When a sample space and its symmetry group satisfy certain conditions, we construct a natural spanning set for the space of functions on the sample space which respects the isotypic decomposition; these vectors may be used in algorithms for model selection. The construction is explicitly carried out for the case of binary data.
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Donald, Claire Louisa. "Development of molecular tools to enhance understanding of antiviral RNAi in mosquitoes." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6207/.

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Mosquito-borne arboviruses are a considerable threat to human and animal health across the world. Many of them are classed as emerging or remerging pathogens and the incidence of disease for a number of serious viral infections has increased as they expand their geographical and host ranges. As with other invertebrates, mosquitoes lack the adaptive immune response present in vertebrates and instead rely on their innate immune defences to modulate viral infections. Nevertheless, in contrast to vertebrates, arboviral infections in their arthropod vector are non-pathogenic and have no cytopathic effect or detrimental impact on their survival. The response considered to be the most important for antiviral defence in mosquitoes is RNA interference (RNAi) which is a sequence-specific, RNA silencing mechanism. Most of what is known about antiviral RNAi in arthropods has been established in Drosophila as the model insect organism. These studies have benefited from an extensive range of genetic mutants, molecular tools, reporter assays and genetic profiling. The absence of these tools for use in mosquito research is a substantial deficit for arboviral studies in their natural vector system and must be rectified in order to fully understand the influence vector immunity has on virus transmission. This thesis discusses the development of a ‘molecular tool-box’ for advancing the acquisition of knowledge in this area. Efficient RNAi gene silencing and its effect on the antiviral RNAi response was established in vitro using Semliki Forest virus (SFV) as model arbovirus. This assay determined that knock-down of Argonaute-2 had the most substantial impact on virus replication compared to the knockdown of other RNAi proteins. In addition, the limited detection of virus-derived small RNAs, key molecules of the antiviral RNAi response by Northern blot analysis provides further support to previous evidence that SFV may circumvent the antiviral response by sequestering its genomic RNA, resulting in restricted access by the RNAi machinery and preventing the generation of large quantities of virus-derived small RNAs. However, some SFV-derived small RNAs are known to be produced and these have been shown to generate a pattern of ‘hot’ and ‘cold’ spots along the full-length coding sequences. This thesis has determined that this pattern is not exclusive to viral-derived dsRNA trigger molecules but is also exhibited following the treatment of mosquito cells in culture with non-viral dsRNA. This implies that all exogenous dsRNA is processed by RNAi in a similar manner. This study has also characterised the presence of an RNA-dependent RNA polymerase (RdRP) encoded by Aedes aegypti mosquitoes. RdRPs are important for the amplification and spread of the RNAi signal in other organisms such as plants and worms; however, only one study suggested the existence of one in Drosophila. Although, this project proposed the presence and transcription of a homologue of the Drosophila RdRP in the Aedes aegypti-derived Aag2 cell line, protein knockdown assays revealed that it has no effect on virus replication in vitro; suggesting that it does not function as an RdRP. Due to the lack of antibodies against the major RNAi proteins Dicer-1, Dicer-2, Argonaute-1 and Argonaute-2 in mosquitoes, these were designed and screened which allowed the identification of several candidates for the detection of the proteins in mosquito cells in culture. Further to this, recombinant forms of the RNAi initiator protein Dicer-2 and the slicer protein Argonaute-2 were successfully generated and tested in vitro using different promoters to establish their use for future temporal and spatial kinetic studies. It was concluded that of the promoters tested the most successful for the expression of these reporter constructs was the subgenomic promoter of SFV. On the other hand a second promoter, the PUb promoter, may prove more suitable in the future. Finally, this project studied the antiviral capabilities of a non-haematophagous mosquito cell line which would not come across an arboviral infection by traditional blood- feeding routes. Instead the mosquito larvae sustain their adult life stages by feeding on the larvae of other species which may be vertically infected. A cell line derived from Toxorhynchites amboinensis was characterised and was shown to carry out RNAi if induced by dsRNA suggesting that they are able to mount an antiviral response to acquired infections. This study also determined that the cell line contains an endogenous insect specific virus and, although the source of this is unknown, it adds an interesting new dimension to mosquito antiviral immunity. This thesis enhances RNAi research in Aedes mosquitoes by presenting novel molecular tools and reporter assays which will be highly valuable for facilitating future investigations. The studies performed also add to what is already understood regarding the interaction between SFV and mosquito antiviral immunity through the RNAi response.
7

Kausar, Nighat. "Experimental spectroscopic and theoretical studies of amino acid derivatives." Thesis, University of Greenwich, 2008. http://gala.gre.ac.uk/6207/.

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Experimental vibrational/electronic circular dichroism spectroscopic and theoretical studies of amino acid derivatives, i.e. N-acetyl-L-Asp, N-acetyl-L-Glu, and di-amino acid peptide/derivatives, i.e. L-Asp-L-Glu, a-N-acetyl-L-Asp-L-Glu, and ß-N-acetyl-L-Asp-L-Glu are reported. The calculated structures for N-acetyl-L-Asp and N-acetyl-L-Glu differ. The conformation of the trans amide moiety changes with the carbon chain length of the side chain of the amino acid derivatives. In the computed structures of N-acetyl-L-Asp and N-acetyl-L-Glu all backbone atoms are in-plane, except the side chain group; with respect to C2-C3 they both possess a staggered conformation. In addition both the N-acetyl and the side chain carboxylic acid groups are present in the anti-periplanar (i.e. anti- or trans-conformation). The amide I band occurs in the IR and Raman spectra of N-acetyl-L-Asp as a strong band at 1646 cm-1. In the case of N-acetyl-L-Glu it occurs as a weak, broad band at 1690 cm-1 in the solid state Raman spectrum; in the solution state Raman spectrum the amide I band is blue shifted, and presented at 1728 cm-1. The two different wavenumbers for C=O stretching vibrations, for both molecules, indicate that the two carboxylic acid groups are in different environments. According to DFT band assignments, the amide I bands are predicted at 1679 1682 cm-1 for N-acetyl-L-Asp and N-acetyl-L-Glu, respectively. A band due to the trans amide II mode is found at ˜1545 cm-1 for N-acetyl-L-Asp in the IR spectrum and for N-acetyl-L-Glu at ˜1575 cm-1 in both solid state IR and Raman spectra. The amide II mode is not observed in the solid or solution state Raman spectra of N-acetyl-L-Asp. In the solution state Raman spectrum of N-acetyl-L-Glu, the amide II mode is blue shifted and occurs at 1647 cm-1. The calculated wavenumber value for the amide II mode is ˜1482 cm-1 for both amino acid derivatives. The amide III mode for N-acetyl-L-Asp is found at 1229 cm-1 in both solid state IR and Raman spectra. In the solution state Raman spectrum, this is found as a very weak band at 1238 cm-1. This mode is not observed in the solid state IR and solution Raman spectra of N-acetyl-L-Glu, but it appears at 1233 cm-1 in the solid state Raman spectrum. According to DFT calculations, the amide III mode is predicted at ˜1210 cm-1 for both acetyl derivatives. The calculated vibrational spectra of L-Asp-L-Glu show a good fit with the experimentally recorded vibrational spectra. For example, the predicted and observed wavenumbers for amide I and amide II modes are similar i.e. observed values for amide I mode are at 1676 and 1692 cm-1 for solid state IR/Raman and solution state Raman spectra, respectively, and the predicted value is 1693 cm-1.
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Scott, Ian Alexander. "Studies on seasonal variation in metabolic rate related to changes in body composition with particular reference to shorebirds (Charadrii)." Thesis, Durham University, 1992. http://etheses.dur.ac.uk/6207/.

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The basal metabolic rate of three species of shorebird was measured throughout the non-breeding season. These measurements were related to change in body mass and body composition. No seasonal pattern in BMR was apparent after variation related to changes in body mass and body composition had been accounted for. Seasonal variation in body mass of captive Grey Plover and Redshank was found to resemble that of the same species in the wild. This was not so for Sanderling. Body composition changes were either inferred from destructive analysis, or measured using a technique known as total body electrical conductance (TOBEC). The intraspecific relationship between TLM (Total lean mass) and TOBEC index was found to be best described by a linear equation. Separate intraspecific allometric equations were derived relating BMR to body mass for two shorebird and one wildfowl species. The mass exponents in these equations were found to be 1.03, 0.62 and 0.61 for Redshank, Grey Plover and Wigeon respectively. The results were related to the current interpretations of the BMR/body mass exponent. The within-individual BMR/body mass relationship was investigated for Redshank and Grey Plover. The mean mass exponent was found to be 1.23 and 0.92 respectively. No significant relationship was found for any individual Sanderling. Variation in BMR within an individual was related to variation in body composition. In most cases variation in body fat was found to be the most important predictor of within-individual variation in metabolic rate. In Vitro determinations of the oxygen uptake of avian fat, liver and muscle tissues indicated that the energy consumption of fat was less than one tenth that of liver and muscle. This indicates that within-individual increases in BMR with increased levels of fat are probably associated with increased metabolic output of the lean tissues.
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Scarpino, A. L. "Pain body : writing at the intersection of elegy and witness." Thesis, Bath Spa University, 2014. http://researchspace.bathspa.ac.uk/6207/.

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This thesis contains a creative and critical component. Written at the intersection of two poetics forms, elegy and poetry of witness, the creative piece, a book-length poem titled 'Pain Body', weaves together personal writing based on my experience with chronic pain, 'found' poetry that grounds my experience in larger conversations about the body and illness, and mythically-minded writing about the ash tree. In the critical component, I identify the intersection of elegy and poetry of witness as having four defining characteristics: it is situated in what Carolyn Forche terms the 'social' sphere, it is firmly located in the body, it refuses consolation, and it demonstrates a fragmented and wounded language. I then discuss the poets Paul Monette and Audre Lorde as exemplars of writing at this intersection, as they elegize a loved one (Monette) and their own body (Lorde) while bearing witness to the AIDS epidemic (Monette) and growing cancer epidemic (Lorde). Finally, I examine the ways in which my writing in 'Pain Body' also exemplifies this intersection. My critical research thus shapes my creative writing, while extending and refining current scholarly conversations about elegy and witness.
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Rizzo, Stefano Giovanni. "Una base dati per il knowledge discovery in genetica medica." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6207/.

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L'innovazione delle tecnologie di sequenziamento negli ultimi anni ha reso possibile la catalogazione delle varianti genetiche nei campioni umani, portando nuove scoperte e comprensioni nella ricerca medica, farmaceutica, dell'evoluzione e negli studi sulla popolazione. La quantità di sequenze prodotta è molto cospicua, e per giungere all'identificazione delle varianti sono necessari diversi stadi di elaborazione delle informazioni genetiche in cui, ad ogni passo, vengono generate ulteriori informazioni. Insieme a questa immensa accumulazione di dati, è nata la necessità da parte della comunità scientifica di organizzare i dati in repository, dapprima solo per condividere i risultati delle ricerche, poi per permettere studi statistici direttamente sui dati genetici. Gli studi su larga scala coinvolgono quantità di dati nell'ordine dei petabyte, il cui mantenimento continua a rappresentare una sfida per le infrastrutture. Per la varietà e la quantità di dati prodotti, i database giocano un ruolo di primaria importanza in questa sfida. Modelli e organizzazione dei dati in questo campo possono fare la differenza non soltanto per la scalabilità, ma anche e soprattutto per la predisposizione al data mining. Infatti, la memorizzazione di questi dati in file con formati quasi-standard, la dimensione di questi file, e i requisiti computazionali richiesti, rendono difficile la scrittura di software di analisi efficienti e scoraggiano studi su larga scala e su dati eterogenei. Prima di progettare il database si è perciò studiata l’evoluzione, negli ultimi vent’anni, dei formati quasi-standard per i flat file biologici, contenenti metadati eterogenei e sequenze nucleotidiche vere e proprie, con record privi di relazioni strutturali. Recentemente questa evoluzione è culminata nell’utilizzo dello standard XML, ma i flat file delimitati continuano a essere gli standard più supportati da tools e piattaforme online. È seguita poi un’analisi dell’organizzazione interna dei dati per i database biologici pubblici. Queste basi di dati contengono geni, varianti genetiche, strutture proteiche, ontologie fenotipiche, relazioni tra malattie e geni, relazioni tra farmaci e geni. Tra i database pubblici studiati rientrano OMIM, Entrez, KEGG, UniProt, GO. L'obiettivo principale nello studio e nella modellazione del database genetico è stato quello di strutturare i dati in modo da integrare insieme i dati eterogenei prodotti e rendere computazionalmente possibili i processi di data mining. La scelta di tecnologia Hadoop/MapReduce risulta in questo caso particolarmente incisiva, per la scalabilità garantita e per l’efficienza nelle analisi statistiche più complesse e parallele, come quelle riguardanti le varianti alleliche multi-locus.

Books on the topic "62R07":

1

Nyffenegger, Felix, José Ríos, Louis Rivest, and Abdelaziz Bouras, eds. Product Lifecycle Management Enabling Smart X. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9.

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Lutz, James M. Import Propensities of Industrialized Countries. New York: Palgrave Macmillan US, 2000. http://dx.doi.org/10.1007/978-1-349-62207-8.

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Souri, Kamran, and Kofi A. A. Makinwa. Energy-Efficient Smart Temperature Sensors in CMOS Technology. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62307-8.

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Gervasi, Osvaldo, Beniamino Murgante, Sanjay Misra, Giuseppe Borruso, Carmelo M. Torre, Ana Maria A. C. Rocha, David Taniar, Bernady O. Apduhan, Elena Stankova, and Alfredo Cuzzocrea, eds. Computational Science and Its Applications – ICCSA 2017. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62407-5.

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Lockett, Alan J. General-Purpose Optimization Through Information Maximization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62007-6.

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Bättig, Daniel. Angewandte Mathematik 2 mit MATLAB und Julia. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62207-0.

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Malito, Debora Valentina, Gaby Umbach, and Nehal Bhuta, eds. The Palgrave Handbook of Indicators in Global Governance. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62707-6.

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Halak, Basel, ed. Hardware Supply Chain Security. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62707-2.

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Prechtl, Martin. Mathematische Dynamik. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62107-3.

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Heister, Hanns-Werner. Music and Fuzzy Logic. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62907-9.

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Book chapters on the topic "62R07":

1

Maalouf, Elie, Julien Le Duigou, Bassam Hussein, and Joanna Daaboul. "Distributed Scheduling in Cellular Assembly for Mass Customization." In Product Lifecycle Management Enabling Smart X, 3–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_1.

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Durão, Luiz Fernando C. S., Matheus Morgado, Roseli de Deus Lopes, and Eduardo Zancul. "Middle of Life Digital Twin: Implementation at a Learning Factory." In Product Lifecycle Management Enabling Smart X, 116–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_10.

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Noël, Frédéric, Gülgün Alpan, and Fabien Mangione. "A Complete Digital Chain to Enable the Digital Twin of a Shop Floor." In Product Lifecycle Management Enabling Smart X, 128–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_11.

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Guitard, Léandre, Daniel Brissaud, and Frédéric Noël. "Implementation of a Digital Twin Starting with a Simulator." In Product Lifecycle Management Enabling Smart X, 139–49. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_12.

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Adamenko, Dmytro, Steffen Kunnen, and Arun Nagarajah. "Digital Twin and Product Lifecycle Management: What Is the Difference?" In Product Lifecycle Management Enabling Smart X, 150–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_13.

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Holler, Manuel, Jens Haarmann, Benjamin van Giffen, and Alejandro German Frank. "Smart Dust in the Industrial Economic Sector – On Application Cases in Product Lifecycle Management." In Product Lifecycle Management Enabling Smart X, 165–75. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_14.

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Candell, Richard, Yongkang Liu, Mohamed Kashef, Karl Montgomery, and Sebti Foufou. "Smart Manufacturing Testbed for the Advancement of Wireless Adoption in the Factory." In Product Lifecycle Management Enabling Smart X, 176–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_15.

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Smirnov, Alexander, Nikolay Shilov, Kathrin Evers, and Dirk Weidig. "Free Text Customer Requests Analysis: Information Extraction Based on Fuzzy String Comparison." In Product Lifecycle Management Enabling Smart X, 193–202. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_16.

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Merschak, Simon, Peter Hehenberger, Johann Bachler, and Andreas Kogler. "Data Relevance and Sources for Carbon Footprint Calculation in Powertrain Production." In Product Lifecycle Management Enabling Smart X, 203–14. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_17.

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Trabelsi, Imen, Marc Zolghadri, Besma Zeddini, Maher Barkallah, and Mohamed Haddar. "FMECA-Based Risk Assessment Approach for Proactive Obsolescence Management." In Product Lifecycle Management Enabling Smart X, 215–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62807-9_18.

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Conference papers on the topic "62R07":

1

"Letter of Acquisition - 62507." In 2024 11th International and the 17th National Conference on E-Learning and E-Teaching (ICeLeT). IEEE, 2024. http://dx.doi.org/10.1109/icelet62507.2024.10493094.

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Alves, Marco A. Z., Henrique C. Freitas, Flávio R. Wagner, and Philippe O. A. Navaux. "Influência do Compartilhamento de Cache L2 em um Chip Multiprocessado sob Cargas de Trabalho com Conjuntos de Dados Contíguos e Não Contíguos." In Workshop em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2007. http://dx.doi.org/10.5753/wscad.2007.18749.

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As diversas pesquisas e projetos de chips multiprocessados apontam na direção do uso da cache L2 compartilhada. No entanto, ainda está muito cedo para definir um modelo de compartilhamento à cache L2 que atenda às necessidades de desempenho dos futuros processadores multi-core. O objetivo deste artigo é apresentar resultados do projeto de um chip multiprocessado com vários agrupamentos de núcleos compartilhando a mesma cache L2 sob cargas de trabalho com conjuntos de dados contíguos e não contíguos. Os resultados apresentados mostram que a proximidade dos dados da aplicação paralela exerce forte influência sobre o desempenho nas diversas organizações de agrupamentos de processadores. Para a carga de trabalho com dados contíguos houve um aumento de desempenho de até 0,93% e uma redução na taxa de faltas da cache L2 de até 85,20% para leitura e aumento da taxa de faltas de até 59,07% para escrita. No conjunto de dados não contíguos houve uma degradação do desempenho de até 0,11%, mas com redução na taxa de faltas da cache L2 de até 82% para leitura e aumento na taxa de faltas para escrita de até 62,07%.
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"Changes in the Microstructure of Cement Paste and Concrete due to Calcium Nitrate Addition." In SP-173: Fifth CANMET/ACI International Conference on Superplasticizers and Other Chemical Admixtures in Concrete. American Concrete Institute, 1997. http://dx.doi.org/10.14359/6207.

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"O-022 - PREVALENCIA Y FACTORES RELACIONADOS AL CONSUMO DE TABACO, ALCOHOL Y OTRAS SUSTANCIAS ADICTIVAS EN MÉDICOS RESIDENTES DEL POSTGRADO DE MEDICINA INTERNA DE LA UNIVERSIDAD DE SAN CARLOS DE GUATEMALA EN LA CIUDAD DE GUATEMALA, 2021." In 24 CONGRESO DE LA SOCIEDAD ESPAÑOLA DE PATOLOGÍA DUAL. SEPD, 2022. http://dx.doi.org/10.17579/abstractbooksepd2022.o022.

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Declaración de conflicto de intereses El presente estudio no recibió ningún tipo de financiamiento externo. El estudio se apegó a las normativas éticas del hospital en donde fue realizado. No existió ningún conflicto de intereses durante su realización. Resumen y palabras claves Objetivo: determinar la prevalencia y factores relacionados al consumo de tabaco, alcohol y otras sustancias adictivas en médicos residentes del postgrado de Medicina Interna del Hospital General San Juan de Dios, Hospital Roosevelt e Instituto Guatemalteco de Seguridad Social, ubicados en la Ciudad de Guatemala, durante el 2020. Metodología: estudio descriptivo transversal, con una muestra de 145 sujetos, por medio de una encuesta virtual para características generales y con el test ASSIST V.3.0.; se realizó análisis univariado y bivariado. Se respetaron los principios éticos universales. Resultados: el sexo predominante fue el masculino (63.45%), con edad media de 27.9  1.71, de etnia no indígena (84.14%), soltero (98.62%), religión católica (62.07%), de primer año (37.24%). La prevalencia de consumo de alcohol fue de 90.30%, seguido de tabaco con 47.01% y cannabis con 21.64%. El año de residencia con mayor prevalencia fue primer año, seguido de tercer año. El nivel de riesgo fue moderado para alcohol y bajo para el resto de sustancias. El estado civil se encontró relacionado con el nivel de riesgo de consumo de todas las sustancias, excepto el alcohol. Conclusión: la prevalencia de consumo de alcohol fue de 90.30%, seguida de tabaco con 47.01% y cannabis con 21.64%. El estado civil presentó relación moderada con el nivel de consumo de riesgo, a excepción del alcohol. Las demás sustancias y drogas (cocaína, anfetaminas, inhalantes, alucinógenos, opiáceos y otros) presentan un riesgo moderado en el consumo en el 2.99% o menos. Esto se relaciona con que son sustancias más difíciles de conseguir. Palabras clave: adictivo, médicos, alcohol
5

Liu, Wenjun, Mehdi Asheghi, and K. E. Goodson. "Thermal Conductivity of Ultra Thin Single Crystal Silicon Layers: Part II — Experimental Data and Modeling at High Temperatures." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-62107.

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Simulations of the temperature field in Silicon-on-Insulator (SOI) and strained-Si transistors can benefit from experimental data and modeling of the thin silicon layer thermal conductivity at high temperatures. This work presents the first experimental data for 20 and 100 nm thick single crystal silicon layers at high temperatures and develops algebraic expressions to account for the reduction in thermal conductivity due to the phonon-boundary scattering for pure and doped silicon layers. The model applies to temperatures range 300–1000 K for silicon layer thicknesses from 10 nm to 1 μm (and even bulk) and agrees well with the experimental data. In addition, the model has an excellent agreement with the predictions of thin film thermal conductivity based on thermal conductivity integral and Boltzmann transport equation, although it is significantly more robust and convenient for integration into device simulators. The experimental data and predictions are required for accurate thermal simulation of the semiconductor devices, nanostructures and in particular the SOI and strained-Si transistors.
6

Assato, Marcelo, and Marcelo J. S. de Lemos. "Flow and Heat Transfer Past a Sudden Contraction With a Porous Insert Using Linear and Non-Linear Turbulence Models." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-62407.

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This work presents a numerical investigation for the turbulent flow and heat transfer in an abrupt contraction channel with a porous material placed in a flow passage. The channel has a contraction rate of 3:2. Results for the hybrid medium were obtained using linear and non-linear k-ε macroscopic models. It was used an inlet Reynolds number of Re = 132000 based on the height of the step. Parameters such as porosity, permeability and thickness of the porous insert were varied in order to analyze their effects on the flow pattern. The results of local heat transfer, friction coefficient and stream lines obtained by the two turbulence models were compared for the cases without and with porous insertion of thickness a/H=0.083, 0.166 and 0.250, where H is the step height. Insert porosity of varied between 0.85 and 0.95 with permeability in the range 10−6–10−2 m2.
7

Flores, Juan G. Lozada, and Gerardo Carbajal. "Analysis of Water Production of a 1.2 KW PEM Fuel Cell." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62307.

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Investigation of water production rate is one of the most important factors to evaluate the performance of a PEM Fuel Cell. In the present case water production rate was studied from the hydrogen and the air inputs with an additional consideration of the effect of the relative humidity of ambient air. A corrected model was used to evaluate the water production, and it was compared against experimental data. It was found that this new model is strongly enhanced and it becomes in a new focus of study. The fuel cell system was tested at steady state conditions during 2700 s at 245 W and 36 V. The mass flow rate of water produced by the experimental result was 1.444 grams/min, while the analytical result was 1.311grams/min; the error of the analytical data compared with the experimental data was 10.14 percent.
8

Aluko, O., and H. A. Whitworth. "Bearing Strength Analysis of Pin-Loaded Elliptical Holes in Laminated Composite Joints." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62507.

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An analysis was performed to predict bearing strength and mode of failure of pin loaded orthotropic plates with elliptic holes of varying sizes using two dimensional stress analyses and a characteristic curve model. The stresses required to analyze joint failure were obtained by utilizing complex stress functions that were determined from assumed displacement expressions that satisfy the boundary conditions around the hole. Three different joint geometries with major-to-minor diameter ratios ranging from 1 to 5 were evaluated and the analysis revealed that the joint strength was found to vary with increasing major-to-minor diameter ratios. The material properties of graphite/epoxy laminates were used in this investigation.
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Ahmed, Jasem A., and M. A. Wahab. "Stress Analysis of Functionally Graded Thick-Cylinders Subjected to Mechanical and Thermal Loads." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62707.

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Thermo-mechanical stresses in functionally graded (FG) thick-walled cylindrical vessels are investigated in this paper. The cylinder is assumed to be made of a functionally graded material (FGM) with varying material properties in the radial direction. The modulus of elasticity, thermal conductivity, and coefficient of thermal expansion are expressed using power laws. The hollow cylinder is subjected to axisymmetric mechanical and thermal loading. Governing equations are developed for the desired configuration by using equations of equilibrium, stain-displacement relation, and Hooke’s law. A computer program is written in Maple −14 to show the effect of the power indices on the radial, tangential, axial, and Von-Mises stress distributions. The results are compared from the work available in the existing literature. Results show that the Von-Mises stress can be relaxed for specific gradients. Thus, appropriate gradients can be used to make functionally graded cylindrical vessels to maintain structural integrity when subjected to severe mechanical and thermal loads.
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Zhang, Xinhui, Mohsen Ghamari, and Albert Ratner. "Numerical Modeling of Co-Firing Chunk Coal and Oat Hulls in a Stoker Boiler." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-62807.

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The current study presents a numerical study of co-firing chunk coal and one kind of light weight biomass, oat hulls, in a stoker boiler. First, a standard combustion model was applied to simulate coal combustion in a real size three dimensional boiler; the results were compared with the temperatures measured at different locations of the stoker boiler to assess the accuracy of heat sink and heat transfer model. Once a good accuracy was achieved, a devolatilization model for oat hulls was derived from experimental data and was matched with this combustion model to simulate combustion in a co-firing stoker boiler. The results showed that light biomass burns in suspension, similar to pulverized coal by following the air flow. Also, the peak temperature inside the furnace inversely varies with the increase of co-firing percentage of oat hulls. This numerical study reveals thermal and economic potential of using unprocessed light weight biomass on the existing combustion facility.

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