189,608 research outputs found
Dr. Rosina C. Chia, 81
No full textDr. Rosina Chih-Hung Chia, a Palo Alto resident, has died. She was 81. Chia, who died on Aug. 22. was born on Feb. 24. 1939. in Hong Kong. She attended the Taiwan Second Girls High School and National Taiwan University, where she studied psychology. In 1962, Chia moved to the United States and received her master's and doctorate degrees in psychology from the University of Michigan
Emprego da tecnologia supercrítica para a valorização do resíduo de semente de chia (Salvia hispanica)
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Alimentos, Florianópolis, 2014.A chia (Salvia hispanica) é uma planta cultivada nas Américas do Sul e Central, cuja semente é fonte de antioxidantes naturais e ácidos graxos essenciais. O presente estudo avaliou a obtenção de extratos de torta de chia, subproduto proveniente da extração do óleo de chia. Foram aplicadas as técnicas a baixa pressão como extração em Soxhlet (SOX), ultrassom (US) e maceração (MAC) utilizando etanol (EtOH), hexano (Hex) e acetato de etila (EtOAc) como solventes, a fim de comparar com o processo de extração supercrítica (ESC). As operações de ESC foram realizadas com pressões de 150 bar a 300 bar e temperaturas de 40 °C e 50 °C empregando o CO2 como solvente. Também foi realizada a aplicação de EtOH e EtOAc como cossolventes no processo de ESC em concentrações de 2,5 até 7,5 %. O processo de extração supercrítica sequencial (ESC-S) foi estudado, o qual possui duas etapas de extração, com uma despressurização rápida do sistema entre a primeira e a segunda etapa. A construção da curva cinética e modelagem matemática de processos de ESC e ESC-S foram executadas, além da estimativa de custos de manufatura da instalação de uma unidade industrial de ESC. Todos os extratos obtidos foram submetidos a análises de atividade antioxidante (método ABTS), teor de fenólicos totais (TFT), perfil de ácidos graxos e atividade antimicrobiana. Nas extrações a baixa pressão, os maiores rendimentos foram obtidos utilizando SOX com EtOH (15,4 ± 0,4 %). Nas ESC com CO2 puro, a pressão de 300 bar permitiu alcançar rendimentos de até 10,6 ± 0,2 %, na maior temperatura estudada. A utilização de cossolvente causou aumento no rendimento de extração (11,3 ± 0,1% utilizando EtOH a 7,5%). Os extratos obtidos em extrações a baixa pressão com EtOH e EtOAc obtiveram os melhores valores de TFT e atividade antioxidante. A utilização de cossolvente afetou positivamente os resultados de TFT e atividade antioxidante dos extratos de ESC. O perfil de ácidos graxos dos extratos confirmou altos teores de ácido linoleico e a-linolênico em todos os extratos testados. Extratos obtidos pelas diferentes técnicas mostraram atividade antimicrobiana contra B. cereus. A ESC-S com despressurização rápida teve efeito positivo com relação ao rendimento, onde foi atingido rendimento de 8,7 ± 0,2%, estatisticamente igual ao rendimento obtido em ESC na mesma condição, porém reduzindo o tempo de extração pela metade. A realização da segunda etapa de ESC-S utilizando EtOH 7,5% ocasionou um aumento no TFT dos extratos obtidos. O modelo que melhor se ajustou as curvas experimentais foi o modelo de Martínez et al. (2003). Segundo o modelo de Sovová (1994), para os processos de ESC e primeira etapa de ESC-S, o mecanismo de convecção foi mais representativo. Na segunda etapa de ESC-S o mecanismo de difusão também mostrou representatividade. A ESC-S quando realizada até a etapa de despressurização (ESC-Desp) mostrou ser um processo economicamente viável e lucrativo para aplicação em escala industrial, com valores de extrato competitivos com os valores de mercado, gerando extratos de alta qualidade em um menor tempo de processo.Abstract : Chia (Salvia hispanica) is a plant cultivated in South and Central America, whose the seed is a source of natural antioxidants and essential fatty acids. The present study evaluated the extracts attainment from chia seed cake, which is a byproduct from chia seed oil extraction process. It were applied low-pressure techniques, like Soxhlet extraction (SOX), ultrasound assisted extraction (US) and maceration (MAC) using ethanol (EtOH), hexane (Hex) and ethyl acetate (EtOAc) and as solvents with the objective of comparing with the high pressure process, performed by supercritical fluid extraction (SFE). SFE were performed at pressures from 150 to 300 bar and temperatures of 40 °C and 50 °C, using CO2 as solvent. It was also performed an application of EtOH and EtOAc as cosolvents on SFE process, using concentrations from 2.5 to 7.5%. A sequential supercritical fluid extraction (S-SFE) process was studied, wich includes two steps of extraction, with a fast depressurization of the system between the first and the second step of extraction. The kinetic extraction curves of SFE and S-SFE processes were built and mathematical models adjusted the experimental data. It were also performed an estimative of manufacturing costs from installing a supercritical fluid extraction industrial unit. All extracts was submitted to antioxidant analysis (ABTS method), total phenolics content (TPC), fatty acids profile and antimicrobial analysis. Among low-pressure extraction, the highest yield was achieved using SOX with EtOH (15.4 ± 0.4 %). Among the SFE assays using pure CO2, the pressure of 300 bar allowed to achieve yields up to 10.6 ± 0.2 %, in the highest tested temperature. The use of a cosolvent caused increase in yield (11.3 ± 0.1% using EtOH 7,5%). Extracts obtained by lowpressure techniques using EtOH and EtOAc showed the best values of TPC and antioxidant activity. The using of a cosolvent affected in a positive way the results of TPC and antioxidant activity of SFE extracts. The fatty acids profile of the extracts confirmed the high content of linoleic and a-linolenic acids in all tested extracts. Extracts obtained by different techniques showed antimicrobial activity against B. cereus. SSFE process with fast depressurization caused a positive effect in yield, achieving a yield of 8.7 ± 0.2%, statiscally equal to the yield obtained by SFE using the same condition, but reducing the extraction time by half. The performance of the S-SFE second step using EtOH 7.5% caused an increase in the TPC of the obtained extracts. Martínez et al (2003) was the model which best-adjusted experimental data. According to Sovová s model (1994), in S-SFE first step and SFE processes, the convection mechanism was more representative. In the S-SFE second step, the diffusion mechanism showed to be representative. S-SFE process, when realized until the depressurization step (SFE-Desp), showed to be an economically viable and profitable process on an industrial scale application, with values of extract competitive with market values, generating high quality extracts in a shorter process time
[coin] Cash, Peking (fiscus), Chia-ch'ing, China. /
No full textRecto: Een centrale vierkantige doorboring, die afgezoomd is door een effen boord ; erboven, eronder, links en rechts, de vier Chinese lettertekens voor Chia-ch'ing T'ung-pao ; rondom, een brede effen boord.Verso: Een centrale vierkantige doorboring, die afgezoomd is door een effen boord ; links en rechts, de twee Chinese lettertekens voor Boo Ciowan ; rondom, een brede effen boord.Krause, L. & Mishler, C. Standard Catalog of World Coins, USA, Centennial Edition Iola : Colin R. Bruce, 1991, nr. 1-2.Bijzondere collectie
Methods for comparative ChIA-PET and Hi-C data analysis.
No full textThe three-dimensional architecture of chromatin in the nucleus is important for genome regulation and function. Advanced high-throughput sequencing-based methods have been developed for capturing chromatin interactions (Hi-C, genome-wide chromosome conformation capture) or enriching for those involving a specific protein (ChIA-PET, chromatin interaction analysis with paired-end tag sequencing). There is widespread interest in utilizing and interpreting ChIA-PET and Hi-C. We review methods for comparative ChIA-PET and Hi-C data analysis and visualization. The topics reviewed include: downloading ChIA-PET and Hi-C data from the ENCODE and 4DN portals; processing ChIA-PET data using ChIA-PIPE; processing Hi-C data using Juicer or distiller and cooler; viewing 2D contact maps using Juicebox or Higlass; viewing peaks, loops, and domains using BASIC Browser; annotating convergent and tandem CTCF loops
Chia-Chen Hu Piano Recital Program Notes
No full textThese are the program notes of Ms. Hu, Chia Chen piano recital, held on May 20th, 2020, in the Fine Arts building FA4028 of the National Sun Yat-Sen University. The program of the piano recital includes Granados\ue2s Ochos Valses Poeticos, Beethoven\ue2s 32 Variations in C Minor, WoO. 80, and Chopin\ue2s Piano Sonata No.3 in B Minor, Op.58. These program notes will introduce how these three composers with different historical backgrounds compose piano pieces with their own characteristics
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DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks
No full textChromatin interaction analysis by paired-end tag sequencing (ChIA-PET) can capture genome-wide chromatin interactions mediated by a specific DNA-associated protein. The ChIA-PET experiments have been applied to explore the key roles of different protein factors in chromatin folding and transcription regulation. However, compared with widely available Hi-C and ChIP-seq data, there are not many ChIA-PET datasets available in the literature. A computational method for accurately predicting ChIA-PET interactions from Hi-C and ChIP-seq data is needed that can save the efforts of performing wet-lab experiments. Here we present DeepChIA-PET, a supervised deep learning approach that can accurately predict ChIA-PET interactions by learning the latent relationships between ChIA-PET and two widely used data types: Hi-C and ChIP-seq. We trained our deep models with CTCF-mediated ChIA-PET of GM12878 as ground truth, and the deep network contains 40 dilated residual convolutional blocks. We first showed that DeepChIA-PET with only Hi-C as input significantly outperforms Peakachu, another computational method for predicting ChIA-PET from Hi-C but using random forests. We next proved that adding ChIP-seq as one extra input does improve the classification performance of DeepChIA-PET, but Hi-C plays a more prominent role in DeepChIA-PET than ChIP-seq. Our evaluation results indicate that our learned models can accurately predict not only CTCF-mediated ChIA-ET in GM12878 and HeLa but also non-CTCF ChIA-PET interactions, including RNA polymerase II (RNAPII) ChIA-PET of GM12878, RAD21 ChIA-PET of GM12878, and RAD21 ChIA-PET of K562. In total, DeepChIA-PET is an accurate tool for predicting the ChIA-PET interactions mediated by various chromatin-associated proteins from different cell types
The source of ChIA-PET datasets.
No full textChromatin interaction analysis by paired-end tag sequencing (ChIA-PET) can capture genome-wide chromatin interactions mediated by a specific DNA-associated protein. The ChIA-PET experiments have been applied to explore the key roles of different protein factors in chromatin folding and transcription regulation. However, compared with widely available Hi-C and ChIP-seq data, there are not many ChIA-PET datasets available in the literature. A computational method for accurately predicting ChIA-PET interactions from Hi-C and ChIP-seq data is needed that can save the efforts of performing wet-lab experiments. Here we present DeepChIA-PET, a supervised deep learning approach that can accurately predict ChIA-PET interactions by learning the latent relationships between ChIA-PET and two widely used data types: Hi-C and ChIP-seq. We trained our deep models with CTCF-mediated ChIA-PET of GM12878 as ground truth, and the deep network contains 40 dilated residual convolutional blocks. We first showed that DeepChIA-PET with only Hi-C as input significantly outperforms Peakachu, another computational method for predicting ChIA-PET from Hi-C but using random forests. We next proved that adding ChIP-seq as one extra input does improve the classification performance of DeepChIA-PET, but Hi-C plays a more prominent role in DeepChIA-PET than ChIP-seq. Our evaluation results indicate that our learned models can accurately predict not only CTCF-mediated ChIA-ET in GM12878 and HeLa but also non-CTCF ChIA-PET interactions, including RNA polymerase II (RNAPII) ChIA-PET of GM12878, RAD21 ChIA-PET of GM12878, and RAD21 ChIA-PET of K562. In total, DeepChIA-PET is an accurate tool for predicting the ChIA-PET interactions mediated by various chromatin-associated proteins from different cell types.</div
Propolin C from Propolis Induces Apoptosis through Activating Caspases, Bid and Cytochrome C Release in Human Melanoma Cells
No full textWe had demonstrated that two prenylflavanones, propolin A and propolin B, isolated and characterized from Taiwanese propolis, induced apoptosis in human melanoma cells and significantly inhibited xanthine oxidase activity . Here, we have isolated a third compound called propolin C. The chemical structure of propolin C has been characterized by NMR and HRMS spectra, and was identical to nymphaeol-A. However, no biological activities of this compound have ever been reported. In the present study, propolin C effectively induced a cytotoxic effect on human melanoma cells, with an IC 50 of about 8.5 muM. DNA flow cytometric analysis indicated that propolin C actively induced apoptosis in human melanoma cells and there is a marked loss of cells from the G2/M phase of the cell cycle. To address the mechanism of the apoptosis effect of propolin C, we evaluated the effect of propolin C on induction of apoptosis -related proteins in human melanoma cells. The levels of procaspase-8, Bid, procaspase-3, and poly( ADP-ribose) polymerase were decreased in dose- or time course-dependent manners. Moreover, propolin C was capable of releasing cytochrome c from mitochondria to cytosol. The findings suggest that propolin C may activate a mitochondria-mediated apoptosis pathway. On other hand, propolin C is a potential antioxidant agent and shows a strong capability to scavenge free radicals and inhibit on xanthine oxidase activity with IC50 of about 17.0 muM. In conclusion, the isolation and characterization of propolin C from bee propolis are described for the first time, and this compound is a powerful inducer of apoptosis in human melanoma cells. (C) 2003 Elsevier Inc. All rights reserved
Chia-Chen Liu Piano Recital Program Notes
No full textThis thesis is the program notes of Chia-Chen Liu\ue2s piano recital held at the National Sun Yat-sen University on May 27, 2020. The recital program includes the works of four different composers, namely Fr\uc3\ua9d\uc3\ua9ric Chopin\ue2s Nocturne in F Major, Op. 15 No. 1, Nocturne in B Major, Op. 62 No. 1 and Nocturne in E Major, Op. 62 No. 2; Wolfgang Amadeus Mozart\ue2s Fantasia in C Minor, K. 475; Sergei Bortkiewicz\ue2s Elegie, Op. 46 and Fanny Hensel geb. Mendelssohn\ue2s \u27June, July, August, September, October \u27, from "Das Jahr". The program notes will introduce how the four composers created unique works in different time and space
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