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Journal articles on the topic 'PCI'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 April 2023

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1

Al-Sehemi, Abdullah G., Tarek M. El-Gogary, Karl Peter Wolschann, and Gottfried Koehler. "Structure and Stability of Chemically Modified DNA Bases: Quantum Chemical Calculations on 16 Isomers of Diphosphocytosine." ISRN Physical Chemistry 2013 (February 25, 2013): 1–10. http://dx.doi.org/10.1155/2013/146401.

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We studied for the first time 16 tautomers/rotamers of diphosphocytosine by four computational methods. Some of these tautomers/rotamers are isoenergetic although they have different structures. High-level electron correlation MP2 and MP4(SDQ) ab initio methods and density functional methods employing a B3LYP and the new M06-2X functional were used to study the structure and relative stability of 16 tautomers/rotamers of diphosphocytosine. The dienol tautomers of diphosphocytosine are shown to be much more stable than the keto-enol and diketo forms. The tautomers/rotamers stability could be ranked as PC3 = PC12 < PC2 = PC11 < PC1 < PC10 < PC8 < PC9 < PC15 < PC16 < PC6 ~ PC7 < PC13 < PC4 ~ PC14 < PC5. This stability order was discussed in the light of stereo and electronic factors. Solvation effect has been modeled in a high dielectric solvent, water using the polarized continuum model (PCM). Consideration of the solvent causes some reordering of the relative stability of diphosphocytosine tautomers: PC3 ~ PC12 ~ PC2 ~ PC11 < PC1 < PC10 < PC8 < PC9 < PC15 ~ PC16 < PC13 < PC6 ~ PC7 ~ PC14 < PC4 ~ PC5.

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Gibson, Sigrid, and Margaret Ashwell. "Dietary patterns among British adults: compatibility with dietary guidelines for salt/sodium, fat, saturated fat and sugars." Public Health Nutrition 14, no. 8 (May 6, 2011): 1323–36. http://dx.doi.org/10.1017/s1368980011000875.

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AbstractObjectiveTo examine dietary patterns among British adults, associations with Na and macronutrient intakes, and implications for dietary advice.DesignPrincipal component analysis of 7 d weighed dietary records.SubjectsAdults aged 19–64 years (n 1724).SettingNational Diet and Nutrition Survey (2000/2001).ResultsHigh Na intake was associated with more energy-dense diets, higher in fat and SFA (percentage of energy) but lower in non-milk extrinsic sugars (NMES). Eight patterns (PC1 to PC8) explained 40 % of the total variance in food intakes. Three patterns – PC3 (high loadings on bread, fats and cheese), PC2 (meat products, eggs and chips) and PC7 (red meat, sauces and alcohol) – were associated with high Na intake. Of these, PC3 correlated with high Na density and Na:K ratio, while PC2 correlated with fat. By contrast, three patterns – ‘health-conscious’ (PC1; vegetables, fruit, fruit juice, fish), ‘breakfast cereals and milk’ (PC6) and ‘chicken and rice’ (PC8) – were associated with modest Na intake, lower Na density and lower fat and SFA. PC2 was positively correlated, and PC1 was negatively correlated, with adding salt to food. Other patterns were ‘tea/coffee and cakes’ (PC4; associated with high SFA and NMES) and ‘soft drinks and snacks’ (PC5; associated with high NMES but not fat or SFA). The dietary patterns of males and females differed slightly.ConclusionsDietary patterns PC1, PC6, PC8 (vegetables, fruit, fish, milk, breakfast cereals, poultry) were broadly compatible with guidelines for salt, fat, SFA and NMES. However, other patterns tended to be high in either salt or NMES.

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Jensen, Matt, Trent Stellingwerff, Courtney Pollock, James Wakeling, and Marc Klimstra. "Can Principal Component Analysis Be Used to Explore the Relationship of Rowing Kinematics and Force Production in Elite Rowers during a Step Test? A Pilot Study." Machine Learning and Knowledge Extraction 5, no. 1 (February 17, 2023): 237–51. http://dx.doi.org/10.3390/make5010015.

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Investigating the relationship between the movement patterns of multiple limb segments during the rowing stroke on the resulting force production in elite rowers can provide foundational insight into optimal technique. It can also highlight potential mechanisms of injury and performance improvement. The purpose of this study was to conduct a kinematic analysis of the rowing stroke together with force production during a step test in elite national-team heavyweight men to evaluate the fundamental patterns that contribute to expert performance. Twelve elite heavyweight male rowers performed a step test on a row-perfect sliding ergometer [5 × 1 min with 1 min rest at set stroke rates (20, 24, 28, 32, 36)]. Joint angle displacement and velocity of the hip, knee and elbow were measured with electrogoniometers, and force was measured with a tension/compression force transducer in line with the handle. To explore interactions between kinematic patterns and stroke performance variables, joint angular velocities of the hip, knee and elbow were entered into principal component analysis (PCA) and separate ANCOVAs were run for each performance variable (peak force, impulse, split time) with dependent variables, and the kinematic loading scores (Kpc,ls) as covariates with athlete/stroke rate as fixed factors. The results suggested that rowers’ kinematic patterns respond differently across varying stroke rates. The first seven PCs accounted for 79.5% (PC1 [26.4%], PC2 [14.6%], PC3 [11.3%], PC4 [8.4%], PC5 [7.5%], PC6 [6.5%], PC7 [4.8%]) of the variances in the signal. The PCs contributing significantly (p ≤ 0.05) to performance metrics based on PC loading scores from an ANCOVA were (PC1, PC2, PC6) for split time, (PC3, PC4, PC5, PC6) for impulse, and (PC1, PC6, PC7) for peak force. The significant PCs for each performance measure were used to reconstruct the kinematic patterns for split time, impulse and peak force separately. Overall, PCA was able to differentiate between rowers and stroke rates, and revealed features of the rowing-stroke technique correlated with measures of performance that may highlight meaningful technique-optimization strategies. PCA could be used to provide insight into differences in kinematic strategies that could result in suboptimal performance, potential asymmetries or to determine how well a desired technique change has been accomplished by group and/or individual athletes.

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Bijarania, Subhash, Anil Pandey, Mainak Barman, Monika Shahani, and Gharsi Ram. "Assesment of divergence among soybean [Glycine max (L.) Merrill] genotypes based on phenological and physiological traits." Environment Conservation Journal 23, no. 1&2 (February 11, 2022): 72–82. http://dx.doi.org/10.36953/ecj.021808-2117.

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A study was conducted to understand genetic divergence in Randomized complete block design accommodating 30 soybean [Glycine max (L.) Merrill] genotypes randomly in three replications. These genotypes were evaluated for twenty-seven traits: five phenological, nine agro-morphological, eight physiological traits (from field-trial) and five physiological traits (from laboratory experiment) recorded and subjected to PCA (Principal Component Analysis) and cluster analysis. Among all the studied cultivars, significant diversity, as well as analysis of dispersion, was recorded for different agro-morphological characters. D2-statistic (Tocher method) framed (generalized distance-based) nine clusters: largest with eight and five were oligo-genotypic. Harvest index>seed yield per plant>germination relative index>seedling dry weight contributed maximum towards total divergence. From the most divergent clusters, 21 crosses involving cluster v genotypes (PS-1347, RKS-18, PS-1092, NRC-142, VLS-94, NRC-136, and Shalimar Soybean-1) with monogenotypic cluster VII (AMS-2014), VIII (RSC-11-15) and III (RSC-10-71) suggested for future hybridization. Out of eighteen, only eight principal components revealed more than 1.00 eigen value and exhibited about 85.03% variability among the traits studied. The highest variability (25.41%) by PC1 followed by PC2 (15.60%), PC3 (12.35%), PC4 (10.13%), PC5 (7.20%), PC6 (5.43%), PC7 (4.80%) and PC8 (4.11%) for characters under study.

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Blachowski, Jan, and Monika Hajnrych. "Assessing the Cooling Effect of Four Urban Parks of Different Sizes in a Temperate Continental Climate Zone: Wroclaw (Poland)." Forests 12, no. 8 (August 23, 2021): 1136. http://dx.doi.org/10.3390/f12081136.

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Urban parks have been known to form park cooling islands (PCI), which can effectively alleviate the effect of urban heat islands (UHI) in cities. This paper presents results obtained for four different size parks in the city of Wroclaw, which is located in a temperate continental climate. The number of publications for urban areas located in this type of climate and cities is low compared to sites in hot and humid areas. Land surface temperature (LST) maps were developed from Landsat 8 Thermal Infrared Sensor (TIRS) data acquired during three hottest weather periods between 2017 and 2019. Metrics and spatial statistics characterising the four parks selected for the analysis based on their size were calculated. These included: perimeter, area, landscape shape index (LSI) and PLC (forest area) park metrics, and Park Cooling Area (PCA), Park Cooling Efficiency (PCE), Park Cooling Gradient (PCG), Park Cooling Island (PCI) and Extended Park Cooling Island (PCIe) spatial indexes. The averaged PCIe values ranged from 2.0 to 3.6 °C, PCI from 1.9 to 3.6 °C, PCG from 0.7 to 2.2 °C, PCE from 5.3 to 11.5, and PCA from 78.8 to 691.8 ha depending on the park. The cooling distance varied from 110 m to 925 m depending on park size, forest area and land use type in the park’s vicinity. The study provides new insight into urban park cooling effects in a medium sized city located in a temperate continental climate, and the role of parks in regulation of urban temperature to mitigate the UHI effect.

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Alkhasawneh, Mutasem Shabeb. "Software Defect Prediction through Neural Network and Feature Selections." Applied Computational Intelligence and Soft Computing 2022 (September 26, 2022): 1–16. http://dx.doi.org/10.1155/2022/2581832.

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Software failure such as software defect causes billion of dollar loss every year. Software failure also affects billion of people worldwide. Inadequate software testing can cause software failure. To predict the software defect, this study proposed a model consisting of feature selection and classifications. The correlation base method was used for feature selection, and radial base function neural network (RBF) was used for classification. Also, for testing the proposed system, fourteen NASA data sets were used including CM1, JM1, KC1, KC2, KC3, KC4, MC1, MC2, MW1, PC1, PC2, PC3, PC4, and PC5. The data set was divided using the well-known K-cross-validation methods which were performed to divide the data set for training and testing the RBF. The RBF were trained and tested before and after feature selections. Precision, recall, F-measure, and accuracy are four methods used to evaluate the performance of the proposed methods. The precision obtained for the fourteen data sets was CM1, 94.01%; JM1, 85.18%; KC1, 83.24%; KC2, 81.27%; KC3, 79.30%; KC4, 85.29%; MC1, 99.89%; MC2, 73.27%; MW1, 90.90%; PC1, 98.79%; PC2, 100%; PC3, 95.67%; PC4, 95.12%; and PC5, 80.89%. Recall was as follows: CM1, 95.78%; JM1, 87.89%; KC1, 86.24%; KC2, 83.82%; KC3, 82.10%; KC4, 86.28%; MC1, 100%; MC2, 76.67%; MW1, 92.09%; PC1, 99.98%; PC2, 100%; PC3, 96.23%; PC4, 95.17%; and PC5, 81.80%. F-measure was as follows: CM1, 0.95; JM1, 0.87; KC1, 0.83; KC2, 0.82; KC3, 0.85; KC4, 0.86; MC1, 0.99; MC2, 0.76; MW1, 0.95; PC1, 0.99; PC2, 0.99; PC3, 0.97; PC4, 0.95; and PC5, 0.80. The accuracy obtained was as follows: CM1, 93.99%; JM1, 84.87%; KC1, 83.25%; KC2, 79.11%; KC3, 78.25%; KC4, 83.18%; MC1, 99.01%; MC2, 70.18%; MW1, 88.90%; PC1, 98.99%; PC2, 99.80%; PC3, 94.11%; PC4, 94.4%; and PC5, 79.02%. The proposed method results were compared with the result obtained from different methods. The proposed model obtained better results than other methods for data set CM1, KC4, MC1, PC1, PC2, PC3, PC4, and PC5.

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Freyer, C., L. M. Kilpatrick, L. A. Salamonsen, and G. Nie. "Pro-protein convertases (PCs) other than PC6 are not tightly regulated for implantation in the human endometrium." Reproduction 133, no. 6 (June 2007): 1189–97. http://dx.doi.org/10.1530/rep-06-0285.

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Pro-protein convertases (PCs) are a family of serine proteases (furin, PC1/3, PC2, PACE4, PC4, PC5/6, PC7/8) responsible for post-translational processing and activation of inactive precursors of many regulatory proteins. Endometrial PC6 is critical for implantation in mice and for decidualization of human endometrial stromal cells (ESCs). This study investigated the endometrial expression of other PCs during the menstrual cycle and early pregnancy to elucidate potential redundancies. Furin, PC4, PACE4, and PC7 along with PC6 transcripts were detected in total endometrial RNA, whereas PC1 and PC2 transcription levels were negligible. Quantitative RT-PCR demonstrated highest levels of furin mRNA during menstruation and lowest levels during the proliferative phase. Furin protein was immunolocalized in endometrial luminal and glandular epithelia, stromal fibroblasts, endothelia, and leukocytes. PACE4 and PC7 proteins were also immunodetected in endometrial stroma and glands. Total furin, PC7, and PACE4 proteins were constitutive in both stromal and glandular compartments throughout the cycle and during first trimester pregnancy. Furthermore, Furin and PC7 transcription was unaltered during decidualization of ESCsin vitroin contrast to PC6 which is significantly up-regulated during decidualization. Thus, whereas PC6 is tightly regulated during endometrial preparation for implantation, furin, PACE4, and PC7 are constitutively expressed in human endometrium, but must be considered if PC6 is to be targeted for manipulation of fertility.

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Kondi, Ravi, Sonali Kar, and Soumya Surakanti. "Agro-morphological and biochemical characterization and principal component analysis for yield and quality characters in fine-scented rice genotypes." Genetika 54, no. 3 (2022): 1005–21. http://dx.doi.org/10.2298/gensr2203005k.

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Forty-one fine-scented rice genotypes were evaluated for 18 agro-morphological and quality characters for characterization, and 21 quantitative characters were evaluated for principal component analysis in R-studio software. Characterization of agro-morphological traits viz., plant height, days to 50% flowering, panicle length, number of effective tillers per plant, test weight, grain length, grain breadth, grain L: B ratio, kernel length, kernel breadth, kernel dimensions, awns, colour of awns, distribution of awns, and quality traits viz., alkali spreading value, gel consistency, grain aroma, and amylose content showed huge diversity among the genotypes. PCA revealed that PC1 showed the highest amount of variance (32.0%) followed by PC2 (15.7%), PC3 (9.0%), PC4 (8.1%), PC5 (7.8%), PC6 (5.4%) for quantitative characters. Out of 21 principal components, only 6 showed an eigenvalue greater than 1 and contributes about 78.1% total variance Genotypes in PC1 showed higher values for grain L: B ratio and kernel L: B ratio. Similarly, PC2 showed higher variable values for characters like test weight, kernel length, grain length, grain breadth, alkali spreading value, grain yield per plot and amylose content. PC3 for harvest index, panicle length, gel consistency, no. of effective tillers per plant and head rice recovery. PC4 for characters like plant height, kernel breadth and days to 50% flowering. PC5 for characters like kernel elongation ratio, and filled grains per panicle. PC6 for characters like no. of tillers in a square meter and no. of panicles in a square meter. This pre-breeding characterization study may be useful in finding potential genotypes which are having both yield and quality characters which may be useful in breeding for high-yielding varieties with good-quality characters.

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Zheng, Songxin, Lichen Liu, Xiaofeng Dong, Yanqing Hu, and Pengpeng Niu. "Dominance of Influencing Factors on Cooling Effect of Urban Parks in Different Climatic Regions." International Journal of Environmental Research and Public Health 19, no. 23 (November 22, 2022): 15496. http://dx.doi.org/10.3390/ijerph192315496.

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The enhancement of the park cooling effect (PCE) is one method used to alleviate the urban heat island (UHI). The cooling effect is affected by park factors; however, the importance of these factors in the case of the PCE is still unclear. Optimizing or planning urban parks according to the importance of the influencing factors can effectively enhance the PCE. Herein, we selected 502 urban parks in 29 cities in China with three different climatic regions and quantified the PCE based on the park cooling intensity (PCI) and park cooling area (PCA). Subsequently, the relative importance of the influencing factors for the PCE was compared to identify the main factors. Consequently, certain park planning suggestions were proposed to enhance the cooling effect. The results show that: (1) the PCE increased in the order of arid/semi-arid, semi-humid, and humid regions. (2) The main factors of the PCI differed significantly in different climatic regions; however, the waterbody within a park significantly affected the PCI in all three climates. However, for the PCA, park patch characteristics were the dominant factor, contributing approximately 80% in the three climates regions. (3) In arid/semi-arid and semi-humid regions, the optimal area proportion of waterbody and vegetation within the park were approximately 1:2 and 1:1, respectively, and the threshold value of the park area was 16 ha. In contrast, in the humid region, the addition of a waterbody area within the park, to the best extent possible, enhanced the PCI, and the threshold value of the park area was 19 ha. The unique results of this study are expected to function as a guide to future urban park planning on a regional scale to maximize ecological benefits while mitigating the UHI.

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Sholihin. "AMMI stability for starch yield of cassava in the acid area for determining clones’ stability." E3S Web of Conferences 306 (2021): 01005. http://dx.doi.org/10.1051/e3sconf/202130601005.

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The study aimed to evaluate the phenotypic stability of cassava promising clones’ cassava clones in acidic regions based on AMMI stability. The study was done during 2015-2018 in several environments in Lampung. The study was done using a randomized complete block design with three replications. Plants were planted in 5 m x 4.8 m plot size, with 1 m distance between rows and 0.8 m within row. The plants were fertilized with 93 kg N, 36 kg P2O5 and 60 kg K2O per hectare. Seven cassava promising clones and two check varieties were used in this study. Data were analyzed using Excel, MSTAT-C and PBTOOLs. Research showed that compared with clone PC2, PC3, PC5 and clone PC7, clone PC1, PC4, PC6, UJ3 and clone UJ5 are more stable. According to the AMMI analysis, based on the seven-month starch yield, the important environmental factors that determined the stability of cassava clones are the content of N and P2O5 in the upper soil layer and the cation exchange capacity ground. The starch yield in seven months of PC4 was the highest among the clones. Clone PC4 is potential to be developed in acid area.

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Porcaro, Antonio B., Alessandro Tafuri, Marco Sebben, Aliasger Shakir, Giovanni Novella, Marco Pirozzi, Tania Processali, et al. "Prostate volume index and prostatic chronic inflammation have an effect on tumor load at baseline random biopsies in patients with normal DRE and PSA values less than 10 ng/ml: results of 564 consecutive cases." Therapeutic Advances in Urology 11 (January 2019): 175628721986860. http://dx.doi.org/10.1177/1756287219868604.

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Background: To assess the association of prostate volume index (PVI), defined as the ratio of the central transition zone volume (CTZV) to the peripheral zone volume (PZV), and prostatic chronic inflammation (PCI) as predictors of prostate cancer (PCA) load in patients presenting with normal digital rectal exam (DRE) and prostate-specific antigen (PSA) ⩽ 10 ng/ml at baseline random biopsies. Methods: Parameters evaluated included age, PSA, total prostate volume (TPV), PSA density (PSAD), PVI and PCI. All patients underwent 14 core transperineal randomized biopsies. We considered small and high PCA load patients with no more than three (limited tumor load) and greater than three (extensive tumor load) positive biopsy cores, respectively. The association of factors with the risk of PCA was evaluated by logistic regression analysis, utilizing different multivariate models. Results: 564 Caucasian patients were included. PCA and PCI were detected in 242 (42.9%) and 129 (22.9%) cases, respectively. On multivariate analysis, PVI and PCI were independent predictors of the risk of detecting limited or extensive tumor load. The risk of detecting extensive tumor load at baseline biopsies was increased by PSAD above the median and third quartile as well as PVI ⩽ 1 [odds ratio (OR)=1.971] but decreased by PCI (OR=0.185; 95% CI: 0.088–0.388). Conclusions: Higher PVI and the presence of PCI predicted decreased PCA risk in patients presenting with normal DRE, and a PSA ⩽ 10 ng/ml at baseline random biopsy. In this subset of patients, a PVI ⩽ or >1 is able to differentiate patients with PCA or PCI.

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Ngugi, Benjamin, Gina Vega, and Glenn Dardick. "PCI Compliance." International Journal of Information Security and Privacy 3, no. 2 (April 2009): 54–67. http://dx.doi.org/10.4018/jisp.2009040104.

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Chevalier, Bernard. "Primary PCI." Journal of the American College of Cardiology 74, no. 21 (November 2019): 2585–87. http://dx.doi.org/10.1016/j.jacc.2019.09.037.

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Camm, Hannah. "PCI-CLARITY: is clopidogrel pretreatment before PCI beneficial?" Nature Clinical Practice Cardiovascular Medicine 2, no. 12 (December 2005): 610. http://dx.doi.org/10.1038/ncpcardio0354.

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Danchin, Nicolas, and Paul W. Armstrong. "PCI at non-PCI centres: immediate or rescue?" Lancet 371, no. 9612 (February 2008): 534–36. http://dx.doi.org/10.1016/s0140-6736(08)60246-9.

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Kawai, Atsushi, Toshiyuki Fukushige, Makoto Taiji, Junichiro Makino, and Daiichiro Sugimoto. "The PCI Interface for GRAPE Systems: PCI-HIB." Publications of the Astronomical Society of Japan 49, no. 5 (October 1, 1997): 607–18. http://dx.doi.org/10.1093/pasj/49.5.607.

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Abarza, Liliann, Pablo Acuña-Mardones, Cristina Sanzana-Luengo, and Víctor Beltrán. "Determination of Morphogeometric Patterns in Individuals with Total Mandibular Edentulism in the Interforaminal Region from Cone Beam Computed Tomography (CBCT) Scans: A Pilot Study." Applied Sciences 12, no. 8 (April 10, 2022): 3813. http://dx.doi.org/10.3390/app12083813.

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The aim of this study was to determine the morphogeometric patterns of the interforaminal region from cone beam computed tomography (CBCT) scans of individuals with total mandibular edentulism. CBCT images were obtained from 40 patients with total edentulism who are older (12 men and 28 women; average age of 69.5 ± 9.4 years) and who wore a non-implant-supported, lower, removable, total prosthesis. We conducted a two-dimensional (2D) morphogeometric analysis of the Digital Imaging and Communication in Medicine (DICOM) files from the CBCT scans, and five equidistant cross sections were planned. For the three-dimensional (3D) morphogeometric analysis, standard triangular language (STL) files were obtained after segmentation of the interforaminal mandibular region, and four anatomical landmarks and their respective curves were digitized. The patterns among the shapes were determined using principal component analysis (PCA) on MorphoJ software (version 1.07a). The results of the 2D morphogeometric analyses for PCA of the interforaminal mandibular paramedian region were PC1 or elongated drop shape, 54.78%; PC2 or wineskin shape, 17.65%; PC3 or pear shape, 11.77%; and PC4 or eggplant shape, 5.71%, and those for PCA of the symphyseal region were PC1 or elongated drop shape, 62.13%; PC2 or ovoid shape, 11.64%; PC3 or triangular shape, 9.71%; and PC4 or tuber shape, 4.96%. The results of the 3D morphogeometric analyses for the interforaminal hemimandibular region were PC1, 59.83%; PC2, 10.39%; PC3, 7.67%; and PC4, 5.09%. This study provides relevant information for future clinical guidelines on prosthetics and implants, in addition to proposing the use of new technologies that support diagnosis and treatment in patients with edentulism.

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Mulsanti, I. W., A. Risliawati, and N. Yunani. "Agro-morphological characterization based genetic diversity of Indonesian local rice germplasm." IOP Conference Series: Earth and Environmental Science 948, no. 1 (December 1, 2021): 012004. http://dx.doi.org/10.1088/1755-1315/948/1/012004.

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Abstract The present study was carried out to characterize 103 Indonesian local rice germplasm on the basis of 20 agro-morphological traits. The local rice germplasm originated from Riau and Jambi province in Sumatera island. Principal Component Analysis (PCA) was used to analyzed 11 quantitative data. PCA explained the genetic diversity of the rice germplasm accession. Most of the morphological characters showed variation in different accession. PC1 and PC2 explained about 32.5% and 22.1% of the variability, respectively. PCI and PC2 mostly related with traits such as productive tiller number (PTN), vegetative tiller number (VTN), plant height (PH), and culm length (CL). PCA-Biplot showed accession from Jambi and Riau manage to be separated, even though the PCA percent is only 54.6%. Accession originated from Riau marked by number of tillers (PTN, VTN), and grain weight (GW) traits. Based on cluster analysis, rice germplasm grouped in to 4 main clusters. Most of the accession from Jambi and Riau grouped in the same cluster, which is cluster I. Whereas eight local accessions from Riau grouped in the same cluster separately (cluster II). Two accession which are Padi Jarum (Acc 2711) and Ketan Hitam (Acc 9300) are individually, separated from others.

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NAKAYAMA, Kazuhisa. "Furin: a mammalian subtilisin/Kex2p-like endoprotease involved in processing of a wide variety of precursor proteins." Biochemical Journal 327, no. 3 (November 1, 1997): 625–35. http://dx.doi.org/10.1042/bj3270625.

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Limited endoproteolysis of inactive precursor proteins at sites marked by paired or multiple basic amino acids is a widespread process by which biologically active peptides and proteins are produced within the secretory pathway in eukaryotic cells. The identification of a novel family of endoproteases homologous with bacterial subtilisins and yeast Kex2p has accelerated progress in understanding the complex mechanisms underlying the production of the bioactive materials. Seven distinct proprotein convertases of this family (furin, PC2, PC1/PC3, PC4, PACE4, PC5/PC6, LPC/PC7/PC8/SPC7) have been identified in mammalian species, some having isoforms generated via alternative splicing. The family has been shown to be responsible for conversion of precursors of peptide hormones, neuropeptides, and many other proteins into their biologically active forms. Furin, the first proprotein convertase to be identified, has been most extensively studied. It has been shown to be expressed in all tissues and cell lines examined and to be mainly localized in the trans-Golgi network, although some proportion of the furin molecules cycle between this compartment and the cell surface. This endoprotease is capable of cleaving precursors of a wide variety of proteins, including growth factors, serum proteins, including proteases of the blood-clotting and complement systems, matrix metalloproteinases, receptors, viral-envelope glycoproteins and bacterial exotoxins, typically at sites marked by the consensus Arg-Xaa-(Lys/Arg)-Arg sequence. The present review covers the structure and function of mammalian subtilisin/Kex2p-like proprotein convertases, focusing on furin (EC 3.4.21.85)

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Varvařovský, Ivo. "Kontroverze - aspirin po PCI?Aspirin po PCI: proč nepodávat." Intervenční a akutní kardiologie 19, no. 3 (September 2, 2020): 182–83. http://dx.doi.org/10.36290/kar.2020.040.

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Vojáček, Jan F. "Kontroverze - aspirin po PCI?Aspirin po PCI: proč podávat." Intervenční a akutní kardiologie 19, no. 3 (September 2, 2020): 184–86. http://dx.doi.org/10.36290/kar.2020.041.

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&NA;. "Facilitated PCI associated with worse outcomes than primary PCI." Reactions Weekly &NA;, no. 1091 (March 2006): 3. http://dx.doi.org/10.2165/00128415-200610910-00005.

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&NA;. "Facilitated PCI associated with worse outcomes than primary PCI." Inpharma Weekly &NA;, no. 1527 (March 2006): 16. http://dx.doi.org/10.2165/00128413-200615270-00033.

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de Sousa Almeida, Manuel. "“Unsuitable for PCI…” Multivessel primary PCI. But for whom?" Revista Portuguesa de Cardiologia (English Edition) 33, no. 2 (February 2014): 75–77. http://dx.doi.org/10.1016/j.repce.2014.01.001.

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25

Geiger, M., K. Huber, J. Wojta, L. Stingl, F. Espana, JH Griffin, and BR Binder. "Complex formation between urokinase and plasma protein C inhibitor in vitro and in vivo." Blood 74, no. 2 (August 1, 1989): 722–28. http://dx.doi.org/10.1182/blood.v74.2.722.722.

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Abstract Protein C inhibitor (PCI) and plasminogen activator inhibitor 3 (PAI-3; urinary urokinase inhibitor) are immunologically identical. The role of PCI for urokinase (uPA) inhibition in vivo was investigated. We therefore developed an enzyme-linked immunosorbent assay (ELISA) specific for uPA-PCI complexes: Rabbit anti-PCI IgG was immobilized on a microtiter plate and following incubation with uPA-PCI complex- containing samples, bound uPA-PCI complexes were quantified with a horseradish-peroxidase-linked monoclonal antibody (MoAb) to uPA. Using this assay, time, dose, and heparin-dependent complexes were detected when uPA was incubated with normal plasma or purified urinary PCI, whereas no complexes were measurable using PCI-immunodepleted plasma. Plasma samples (containing 20 mmol/L benzamidine to prevent complex formation ex vivo) from patients undergoing systemic urokinase therapy (1 x 10(6) IU/60 min intravenously [IV]) after myocardial infarction were also studied. uPA present in these plasma samples (up to 1,200 ng/mL) had only 43% to 70% of the specific activity of purified 2-chain uPA, suggesting that a major portion of uPA is complexed to inhibitors. In these plasma samples uPA-PCI complexes were present in a concentration corresponding to 21% to 25% of inactive uPA antigen. These data suggest that at high uPA concentrations, such as during uPA therapy, plasma PCI might contribute significantly to uPA inhibition in vivo.

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Geiger, M., K. Huber, J. Wojta, L. Stingl, F. Espana, JH Griffin, and BR Binder. "Complex formation between urokinase and plasma protein C inhibitor in vitro and in vivo." Blood 74, no. 2 (August 1, 1989): 722–28. http://dx.doi.org/10.1182/blood.v74.2.722.bloodjournal742722.

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Protein C inhibitor (PCI) and plasminogen activator inhibitor 3 (PAI-3; urinary urokinase inhibitor) are immunologically identical. The role of PCI for urokinase (uPA) inhibition in vivo was investigated. We therefore developed an enzyme-linked immunosorbent assay (ELISA) specific for uPA-PCI complexes: Rabbit anti-PCI IgG was immobilized on a microtiter plate and following incubation with uPA-PCI complex- containing samples, bound uPA-PCI complexes were quantified with a horseradish-peroxidase-linked monoclonal antibody (MoAb) to uPA. Using this assay, time, dose, and heparin-dependent complexes were detected when uPA was incubated with normal plasma or purified urinary PCI, whereas no complexes were measurable using PCI-immunodepleted plasma. Plasma samples (containing 20 mmol/L benzamidine to prevent complex formation ex vivo) from patients undergoing systemic urokinase therapy (1 x 10(6) IU/60 min intravenously [IV]) after myocardial infarction were also studied. uPA present in these plasma samples (up to 1,200 ng/mL) had only 43% to 70% of the specific activity of purified 2-chain uPA, suggesting that a major portion of uPA is complexed to inhibitors. In these plasma samples uPA-PCI complexes were present in a concentration corresponding to 21% to 25% of inactive uPA antigen. These data suggest that at high uPA concentrations, such as during uPA therapy, plasma PCI might contribute significantly to uPA inhibition in vivo.

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27

Schilder, Louise, S. Azam Nurmohamed, Pieter M. ter Wee, Nanne J. Paauw, Armand R. J. Girbes, Albertus Beishuizen, Robert H. J. Beelen, and A. B. Johan Groeneveld. "Coagulation, Fibrinolysis and Inhibitors in Failing Filters during Continuous Venovenous Hemofiltration in Critically Ill Patients with Acute Kidney Injury: Effect of Anticoagulation Modalities." Blood Purification 39, no. 4 (2015): 297–305. http://dx.doi.org/10.1159/000380904.

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Introduction: The mechanisms of early filter failure and clotting with different anticoagulation modalities during continuous venovenous hemofiltration (CVVH) are largely unknown. Methods: Citrate, heparin and no anticoagulation were compared. Blood was drawn pre- and post filter up to 720 min. Concentrations of the thrombin-antithrombin (TAT), activated protein C-protein C inhibitor (APC-PCI), and type I plasminogen activator inhibitor (PAI-1) were determined. Results: In case of early filter failure (<24 h), inlet concentrations of TAT and APC-PCI were higher over time, irrespective of anticoagulation. There was more production of APC-PCI and platelet-derived PAI-1 in the filter after 10 min in the heparin group than in other groups. In clotting filters, production of APC-PCI and PAI was also higher with heparin than citrate. Conclusion: Coagulation activation in plasma and inhibition of anticoagulation in plasma and filter may partly determine early CVVH filter failure due to clotting, particularly when heparin is used. Regional anticoagulation by citrate circumvents the inhibition of anticoagulation and fibrinolysis by platelet activation following heparin.

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Adjedj, J., J. F. Morelle, C. Saint Etienne, O. Fichaux, P. Marcollet, M. Decomis, P. Motreff, S. Chassaing, R. Koning, and G. Range. "Clinical impact of FFR-guided PCI compared to angio-guided PCI from the France PCI registry." Archives of Cardiovascular Diseases Supplements 14, no. 1 (January 2022): 9. http://dx.doi.org/10.1016/j.acvdsp.2021.09.013.

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Álvarez Cedillo, Jesús Antonio, and Macario García Arregui. "PCI Express: Generalidades." Polibits 32 (July 31, 2005): 8–11. http://dx.doi.org/10.17562/pb-32-2.

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30

Curzen, Nick. "Defining Successful PCI." JACC: Cardiovascular Interventions 15, no. 1 (January 2022): 62–64. http://dx.doi.org/10.1016/j.jcin.2021.10.031.

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31

Nagori, Madhuri. "PCI in ARCA." Heart India 1, no. 2 (2013): 59. http://dx.doi.org/10.4103/2321-449x.118584.

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32

Smith, S. C., and W. W. O'Neill. "PCI Guideline Update." MD Conference Express 5, no. 1 (December 1, 2005): 34. http://dx.doi.org/10.1177/155989770501019.

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33

Walker, John. "PCI: balance required." Infosecurity 4, no. 6 (September 2007): 13. http://dx.doi.org/10.1016/s1754-4548(07)70141-9.

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34

Helm, Janet Brown. "PCI without SOS." Nursing Critical Care 2, no. 1 (January 2007): 34–40. http://dx.doi.org/10.1097/01244666-200701000-00017.

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35

Worth, Tammy. "CPR and PCI." AJN, American Journal of Nursing 109, no. 10 (October 2009): 22. http://dx.doi.org/10.1097/01.naj.0000361475.17279.46.

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36

Slade, Eirion, Philip Hartley, and Carl Heneghan. "REGULATE-PCI trial." Lancet 387, no. 10027 (April 2016): 1510. http://dx.doi.org/10.1016/s0140-6736(16)30128-3.

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Philip, Femi, and Jeffrey A. Southard. "CABG Versus PCI." Journal of the American College of Cardiology 67, no. 12 (March 2016): 1503–4. http://dx.doi.org/10.1016/j.jacc.2015.11.070.

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38

Kumbhani, Dharam J., and Brahmajee K. Nallamothu. "PCI Volume Benchmarks." Journal of the American College of Cardiology 69, no. 24 (June 2017): 2925–28. http://dx.doi.org/10.1016/j.jacc.2017.04.050.

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39

Ghazzal, Amre, Ron Waksman, and Hector M. Garcia-Garcia. "Complex Lesion PCI." JACC: Cardiovascular Interventions 12, no. 15 (August 2019): 1516. http://dx.doi.org/10.1016/j.jcin.2019.05.012.

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Vandenbriele, Christophe, Tim Balthazar, Stefan Janssens, Tom Adriaenssens, and Johan Bennett. "Impella Protected PCI." JACC: Cardiovascular Interventions 12, no. 19 (October 2019): 1979–80. http://dx.doi.org/10.1016/j.jcin.2019.05.037.

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41

Charuba, Jacek. "PCI system architecture." Control Engineering Practice 4, no. 10 (October 1996): 1486. http://dx.doi.org/10.1016/0967-0661(96)85107-0.

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Kern, Morton J., and Arnold H. Seto. "Newsflash, PCI Works." Journal of the American College of Cardiology 72, no. 9 (August 2018): 984–86. http://dx.doi.org/10.1016/j.jacc.2018.06.035.

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43

Al Badri, Ahmed, and Timothy D. Henry. "Post PCI Angina." Catheterization and Cardiovascular Interventions 88, no. 7 (December 2016): 1025–26. http://dx.doi.org/10.1002/ccd.26876.

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Bali, Harinder K. "PCI in Nonagenarians." Indian Heart Journal 72 (November 2020): S19. http://dx.doi.org/10.1016/j.ihj.2020.11.054.

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Habib, Robert H., Kamellia R. Dimitrova, Sanaa A. Badour, Maroun B. Yammine, Abdul-Karim M. El-Hage-Sleiman, Darryl M. Hoffman, Charles M. Geller, Thomas A. Schwann, and Robert F. Tranbaugh. "CABG Versus PCI." Journal of the American College of Cardiology 66, no. 13 (September 2015): 1417–27. http://dx.doi.org/10.1016/j.jacc.2015.07.060.

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46

Trivax, Justin E., and Robert D. Safian. "PCI of CTOs." Catheterization and Cardiovascular Interventions 85, no. 5 (March 19, 2015): 795–96. http://dx.doi.org/10.1002/ccd.25890.

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Marzilli, Mario, and Doralisa Morrone. "Pre-PCI angina post-PCI ischaemia: tales of ordinary madness." European Heart Journal Supplements 21, Supplement_C (April 1, 2019): C24—C27. http://dx.doi.org/10.1093/eurheartj/suz044.

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PerkinElmer Instruments. "New 9308-PCI picosecond time analyzer with PCI-bus interface." Journal of Applied Crystallography 34, no. 6 (November 17, 2001): 788. http://dx.doi.org/10.1107/s0021889801019252.

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Changsirivathanathamrong, Dechaboon, Annapoorna Kini, Jason Kovacic, Michael Kim, Prakash Krishnan, Pedro Moreno, Javed Suleman, Choudhury Hasan, and Samin Sharma. "OUTCOMES OF PCI IN PATIENTS UNDERGOING APPROPRIATE VERSUS UNCERTAIN PCI." Journal of the American College of Cardiology 61, no. 10 (March 2013): E1185. http://dx.doi.org/10.1016/s0735-1097(13)61185-7.

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Waltenberger, J., and J. Vainer. "PCI comes to age as age increasingly comes to PCI." Netherlands Heart Journal 16, no. 4 (April 2008): 115–16. http://dx.doi.org/10.1007/bf03086128.

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