Assessment of Organizational Maturity for Lean Change

Tortorella, Guilherme Luz; Fogliatto, Flávio Sanson

doi:10.7177/sg.2013.v8.n4.a10

Cited by 5 publications

(3 citation statements)

References 13 publications

(15 reference statements)

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“…resuspended in a 1× PBS solution (pH 7.4) with a final concentration of 20 nM and used for UV-vis absorption measurements. 33 Structures of Protein and Aptamer.…”

Section: Fluorescence Analysis Of Subcellular Localizationmentioning

confidence: 99%

Elucidation and Structural Modeling of CD71 as a Molecular Target for Cell-Specific Aptamer Binding

et al. 2019

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Pancreatic cancer is a highly lethal malignancy associated with tissues of the pancreas. Early diagnosis and effective treatment are crucial to improving the survival rate of patients with pancreatic cancer. In a previous study, we employed the cell-SELEX strategy to obtain an ssDNA aptamer termed XQ-2d with high binding affinity for pancreatic cancer. Here, we first identify CD71 as the XQ-2d-binding target. We found that knockdown of CD71 abolished the binding of XQ-2d and that the binding affinity of XQ-2d is associated with membrane-bound CD71, rather than total CD71 levels. Competitive analysis revealed that XQ-2d shares the same binding site on CD71 with transferrin (Tf), but not anti-CD71 antibody. We then used a surface energy transfer (SET) nanoruler to measure the distance between the binding sites of XQ-2d and anti-CD71 *

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“…resuspended in a 1× PBS solution (pH 7.4) with a final concentration of 20 nM and used for UV-vis absorption measurements. 33 Structures of Protein and Aptamer.…”

Section: Fluorescence Analysis Of Subcellular Localizationmentioning

confidence: 99%

Elucidation and Structural Modeling of CD71 as a Molecular Target for Cell-Specific Aptamer Binding

et al. 2019

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“…These methods are useful for few benchmark systems but cannot be used to explore the chemical space, i.e., screen a large number of candidate materials.The predictive power of a theoretical model by high-throughput virtual screening has been explored in the recent years. [31][32][33][34][35][36][37][38][39][40] For example, in the Harvard Clean Energy Project (CEP), [41] Aspuru-Guzik and co-workers have screened ≈2.3 million compounds by employing the Scharber model [42,43] to find out efficient new donor molecules for OPVs. Here, the computed energies of the highest occupied molecular orbital (HOMO)/the lowest unoccupied molecular orbital (LUMO) of organic molecules are calibrated to experimentally determined values, and then employing an averaging scheme, energies of HOMO/LUMO are estimated to use them as input in the Scharber model.…”

mentioning

confidence: 99%

Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors

Sahu

Rao

Troisi

et al. 2018

Advanced Energy Materials

198

220

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include the strong electron-electron interactions and strong electron-phonon couplings as well as the complicated donor/ acceptor (D/A) interface morphology, which are fundamentally different from inorganic semiconductors. [23,24] Therefore, the accurate simulating of OPVs requires high-level theoretical methods in quantum chemistry, quantum dynamics and statistical mechanics, and in recent years there have been substantial progress for the theoretical understanding of many microscopic processes such as charge transport, [25] exciton dissociation, [26,27] singlet fission, [28][29][30] etc. These methods are useful for few benchmark systems but cannot be used to explore the chemical space, i.e., screen a large number of candidate materials.The predictive power of a theoretical model by high-throughput virtual screening has been explored in the recent years. [31][32][33][34][35][36][37][38][39][40] For example, in the Harvard Clean Energy Project (CEP), [41] Aspuru-Guzik and co-workers have screened ≈2.3 million compounds by employing the Scharber model [42,43] to find out efficient new donor molecules for OPVs. Here, the computed energies of the highest occupied molecular orbital (HOMO)/the lowest unoccupied molecular orbital (LUMO) of organic molecules are calibrated to experimentally determined values, and then employing an averaging scheme, energies of HOMO/LUMO are estimated to use them as input in the Scharber model. However, the prediction of PCE of an OPV is much more challenging compared to the energies of orbitals. Very recently, the same research team [44] noticed that the Scharber model, widely used in these virtual screening works, is not accurate enough for the prediction of PCE, and calibration of PCE by considering molecular similarity, molecular weight and band gap energy leads to improvement in correlation between experimental (49 OPVs) and calculated PCE (Pearson's coefficient (r) is increased from 0.30 to 0.43). Further, the Scharber model is only optimized for the PC 61 BM acceptor [42] and a more general model is desired to take account of nonfullerene molecules.In an OPV, energy conversion is accomplished by four consecutive steps: i) absorption of photons and exciton formation, ii) exciton diffusion to D/A interface, iii) exciton dissociation, and iv) transport of holes/electrons to the respective electrode. Taking account of all these processes, the efficiency of a device depends on many microscopic properties of the organic material such as optical gap, charge-carrier mobility, ionization To design efficient materials for organic photovoltaics (OPVs), it is essential to identify the largest number of parameters that control their properties and build a model using these parameters (known as descriptors) for the prediction of the power conversion efficiency (PCE). By constructing a dataset for 280 small molecule OPV systems, it is found that for all high-performing devices, frontier molecular orbitals of donor molecules are nearly degenerated and in such cases, orbitals other than just high...

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“…O Lean Manufacturing é uma filosofia nascida na Toyota que busca a eliminação das atividades que consomem recursos como, por exemplo, os estoques de matéria-prima, estoque em processo e produtos finais (DEMETER et al, 2011). A implementação de Sistemas de Produção Enxuta (SPE) é reconhecidamente essencial para as empresas que desejam obter elevado nível de competitividade (TORTORELLA et al, 2013).…”

Section: Produção Enxutaunclassified

O impacto da padronização dos desperdícios em uma indústria de autopeças

Oliveira

Figueiredo

2018

RBADM

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A necessidade de eliminar as atividades que consomem recursos e não agregam valor leva as empresas a aplicar o trabalho padronizado resultando em ganhos significativos de produtividade. No estudo apresentado, objetivou-se investigar se as atividades padronizadas são puro valor agregado ou se uma reavaliação da técnica de trabalho padronizado no processo produtivo encontra novas oportunidades de melhoria. O artigo utiliza a metodologia de pesquisa-ação aplicada no processo produtivo de uma linha de montagem em uma indústria automotiva da região Sul Fluminense, onde a reavaliação do trabalho padronizado, ferramenta da filosofia Lean, identificou desperdícios padronizados dentro do processo, mensurados pelo aumento da produtividade em 29%, sem afetar a estabilidade dos indicadores qualidade e segurança.

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Assessment of Organizational Maturity for Lean Change

Cited by 5 publications

References 13 publications

Elucidation and Structural Modeling of CD71 as a Molecular Target for Cell-Specific Aptamer Binding

Elucidation and Structural Modeling of CD71 as a Molecular Target for Cell-Specific Aptamer Binding

Toward Predicting Efficiency of Organic Solar Cells via Machine Learning and Improved Descriptors

O impacto da padronização dos desperdícios em uma indústria de autopeças

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