Gotowe bibliografie tematyczne / PCA

Gotowa bibliografia na temat „PCA”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 8 czerwca 2024

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Artykuły w czasopismach na temat "PCA"

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Al-Sehemi, Abdullah G., Tarek M. El-Gogary, Karl Peter Wolschann i Gottfried Koehler. "Structure and Stability of Chemically Modified DNA Bases: Quantum Chemical Calculations on 16 Isomers of Diphosphocytosine". ISRN Physical Chemistry 2013 (25.02.2013): 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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Jensen, Matt, Trent Stellingwerff, Courtney Pollock, James Wakeling i 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, nr 1 (17.02.2023): 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 i Gharsi Ram. "Assesment of divergence among soybean [Glycine max (L.) Merrill] genotypes based on phenological and physiological traits". Environment Conservation Journal 23, nr 1&2 (11.02.2022): 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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Abarza, Liliann, Pablo Acuña-Mardones, Cristina Sanzana-Luengo i 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, nr 8 (10.04.2022): 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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Sinha, Surabhi, Niraj Kumar, Bhavana P., H. C. Lal, Binay Kumar i C. S. Mahto. "Genetic Diversity Analysis in Medium Duration Pigeonpea [Cajanus cajan (L) Millsp.] Germplasm for Different Agronomic Traits and Biotic Factors". Journal of Advances in Biology & Biotechnology 27, nr 5 (24.04.2024): 712–20. http://dx.doi.org/10.9734/jabb/2024/v27i5833.

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For the people living in tropical and sub-tropical regions, Pigeon pea [Cajanus cajan (L) Millsp.] is a very essential pulse crop because of its high nutrition along with several important features such as feed and fodder for animal consumption, fuel for household work etc. Despite being a multipurpose and attractive crop, its productivity has remained up to 700-800kg ha-1. Along-with low productivity, Pigeon pea is also affected by a number of biotic stresses such as fusarium wilt, pod borer, pod fly. It is therefore, need of the hour to search for the genetic diversity present in the existing cultivars along with wild relatives and landraces. The present investigation was conducted with forty Pigeon pea germplasm to assess the genetic diversity by principal component analysis (PCA). PCA is an important statistical technique which reduces the dimension of the much large data set into a more concise data set while retaining a significant amount of information from the original data. PCA analysis revealed a significant amount of variability present in the germplasm. PC1 contributed maximum variance towards diversity (22.05%) followed by PC2 (15.87%), PC3 (11.39%), PC4 (10.18%), PC5 (9.10%) and PC6 (8.18%). Scatter plot diagram showed that genotypes number 1 (CRG 82), 5 (GJP 1721), 19 (ICPL 15062), and 31 (BAUPP-18-8) exhibited the highest diversity.
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Wulandari, Sari Ayu, Rudy Tjahyono i Dian Retno Sawitri. "PERBANDINGAN TINGKAT PENGENALAN CITRA DIABETIC RETINOPATHY PADA KOMBINASI PRINCIPLE COMPONENT DARI 4 CIRI BERBASIS METODE SVM (SUPPORT VECTOR MACHINE)". Majalah Ilmiah Teknologi Elektro 15, nr 1 (25.06.2016): 95. http://dx.doi.org/10.24843/mite.2016.v15i01p17.

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Perbedaan pigmentasi mempengaruhi me­­­­tode pengenalan pola citra retinopati di­a­betik beserta set­ting poinnya. Di­butuhkan sebuah pe­rangkat lunak, yang mampu menjadi alat bantu pengenalan citra retinopati diabetik. Telah dilakukan penelitian tentang pe­nge­nalan po­la citra retinopati dia­be­tik, dengan meng­gunakan citra kanal ku­ning (Yello­w), dengan menggunakan filter gabor dan ciri yang diambil dari tiap citra ada­lah ciri rerata (Means), variasi Varians), skewness dan entropy, yang dilanjutkan de­ngan ekstraksi ciri PCA (Principle Com­­ponent Analysis). Pada ekstraksi ci­ri PCA, Matriks hasil PCA meru­pakan ma­triks bujur sangkar, yang jumlah ko­lom­nya, sama dengan jumlah ciri. Pe­ne­li­tian menggunakan 4 ciri, dengan de­mi­­kian, terdapat 4 buah PC (Principle Com­ponent), PC1, PC2, PC3 dan PC4. Pada artikel ini akan dibahas mengenai tingkat akurasi tertinggi dari peng­gunaan pasangan PC. Tingkat aku­ra­si, dihitung dengan meng­gu­­nakan mo­del linear dari SVM. Model de­ngan akurasi tertinggi dan tercepat ada­lah model pasangan PC1 dan PC2, yang mempunyai akurasi citra pem­be­lajaran tertinggi yaitu 100% dan waktu terce­pat, yang secara eksplisit diperli­hat­kan pada jumlah support vektor ter­kecil, yaitu 2. Pasa­ngan yang mempu­nyai ting­kat akurasi terburuk adalah PC3 dan PC4. Pengenalan turun pada citra pengu­jian, yaitu hanya 93,75%, hal ini disebabkan oleh pelebaran daerah ca­ku­pan. Pelebaran daerah cakupan ke­mungkinan disebabkan oleh pemi­lihan nilai rerata pada PCA, sebelum matriks reduksi. Pada penelitian berikutnya, bi­sa dilakukan dengan menggunakan pencarian nilai standart deviasi atau varians, dengan begitu, akan diketahui matriks reduksi yang mewakili sebaran angka pada matriks. DOI: 10.24843/MITE.1501.17
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Kondi, Ravi, Sonali Kar i Soumya Surakanti. "Agro-morphological and biochemical characterization and principal component analysis for yield and quality characters in fine-scented rice genotypes". Genetika 54, nr 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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Gibson, Sigrid, i Margaret Ashwell. "Dietary patterns among British adults: compatibility with dietary guidelines for salt/sodium, fat, saturated fat and sugars". Public Health Nutrition 14, nr 8 (6.05.2011): 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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Sekandari, Milad, i Amin Beiranvand Pour. "Fuzzy Logic Modeling for Integrating the Thematic Layers Derived from Remote Sensing Imagery: A Mineral Exploration Technique". Environmental Sciences Proceedings 6, nr 1 (25.02.2021): 8. http://dx.doi.org/10.3390/iecms2021-09349.

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In this study, fuzzy logic modeling was implemented to fuse the thematic layers derived from principal components analysis (PCA) in order to generate mineral prospectivity maps. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and WorldView-3 (WV-3) satellite remote sensing data were used. A spatial subset zone of the Central Iranian Terrane (CIT), Iran was selected in this study. The PCA technique was implemented for the processing of the datasets and for the production of alteration thematic layers. PCA4, PCA5, and PCA8 were selected as the most rational alteration thematic layers of ASTER for the generation of a prospectivity map. The fuzzy gamma operator was used to fuse the selected alteration thematic layers. The PCA3, PCA4, and PCA6 thematic layers (most rational alteration thematic layers) of WV-3 were fused using the fuzzy AND operator. Field reconnaissance, X-ray diffraction (XRD) analysis, and Analytical Spectral Devices (ASD) spectroscopy were carried out to verify the image processing results. Subsequently, mineral prospectivity maps were produced showing high-potential zones of Pb-Zn mineralization in the study area.
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Lee, Myeounggon, Changhong Youm, Byungjoo Noh i Hwayoung Park. "Gait Characteristics Based on Shoe-Type Inertial Measurement Units in Healthy Young Adults during Treadmill Walking". Sensors 20, nr 7 (8.04.2020): 2095. http://dx.doi.org/10.3390/s20072095.

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This study investigated the gait characteristics of healthy young adults using shoe-type inertial measurement units (IMU) during treadmill walking. A total of 1478 participants were tested. Principal component analyses (PCA) were conducted to determine which principal components (PCs) best defined the characteristics of healthy young adults. A non-hierarchical cluster analysis was conducted to evaluate the essential gait ability, according to the results of the PC1 score. One-way repeated analysis of variance with the Bonferroni correction was used to compare gait performances in the cluster groups. PCA outcomes indicated 76.9% variance for PC1–PC6, where PC1 (gait variability (GV): 18.5%), PC2 (pace: 17.8%), PC3 (rhythm and phase: 13.9%), and PC4 (bilateral coordination: 11.2%) were the gait-related factors. All of the pace, rhythm, GV, and variables for bilateral coordination classified the gait ability in the cluster groups. We suggest that the treadmill walking task may be reliable to evaluate the gait performances, which may provide insight into understanding the decline of gait ability. The presented results are considered meaningful for understanding the gait patterns of healthy adults and may prove useful as reference outcomes for future gait analyses.
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Rozprawy doktorskie na temat "PCA"

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Renkjumnong, Wasuta. "SVD and PCA in Image Processing". Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/math_theses/31.

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The Singular Value Decomposition is one of the most useful matrix factorizations in applied linear algebra, the Principal Component Analysis has been called one of the most valuable results of applied linear algebra. How and why principal component analysis is intimately related to the technique of singular value decomposition is shown. Their properties and applications are described. Assumptions behind this techniques as well as possible extensions to overcome these limitations are considered. This understanding leads to the real world applications, in particular, image processing of neurons. Noise reduction, and edge detection of neuron images are investigated.
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Bennett, Marissa A. "Improving Model Performance with Robust PCA". Digital WPI, 2020. https://digitalcommons.wpi.edu/etd-theses/1366.

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As machine learning becomes an increasingly relevant field being incorporated into everyday life, so does the need for consistently high performing models. With these high expectations, along with potentially restrictive data sets, it is crucial to be able to use techniques for machine learning that increase the likelihood of success. Robust Principal Component Analysis (RPCA) not only extracts anomalous data, but also finds correlations among the given features in a data set, in which these correlations can themselves be used as features. By taking a novel approach to utilizing the output from RPCA, we address how our method effects the performance of such models. We take into account the efficiency of our approach, and use projectors to enable our method to have a 99.79% faster run time. We apply our method primarily to cyber security data sets, though we also investigate the effects on data sets from other fields (e.g. medical).
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Liu, Peng. "Adaptive Mixture Estimation and Subsampling PCA". Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1220644686.

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Moravčíková, Simona. "Stanovenie hodnoty firmy PCA Slovakia, s.r.o". Master's thesis, Vysoká škola ekonomická v Praze, 2015. http://www.nusl.cz/ntk/nusl-206699.

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The aim of this thesis is to estimate the value of the company PCA Slovakia, s.r.o. to the 31st December 2015. The thesis is divided into two parts, in the concrete the theoretical and practical parts. The theoretical part describes the basic concepts necessary for the valuation of the company and it is kind of the point for the practical part. On the other hand, the practical part is focused on the introduction of the company and the application of strategic analysis and financial analysis, the prognosis of revenue and other value drivers, financial plan and finally the actual valuation of the company. There was used the DCF method of valuation in the term of FCFF and EVA for the valuation of the company.
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Bernardina, Philipe Dalla. "PCA-tree: uma proposta para indexação multidimensional". Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082007-114522/.

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Com o vislumbramento de aplicações que exigiam representações em espaços multidimensionais, surgiu a necessidade de desenvolvimento de métodos de acessos eficientes a estes dados representados em R^d. Dentre as aplicações precursoras dos métodos de acessos multidimensionais, podemos citar os sistemas de geoprocessamento, aplicativos 3D e simuladores. Posteriormente, os métodos de acessos multidimensionais também apresentaram-se como uma importante ferramenta no projeto de classificadores, principalmente classificadores pelos vizinhos mais próximos. Com isso, expandiu-se o espaço de representação, que antes se limitava no máximo a quatro dimensões, para dimensionalidades superiores a mil. Dentre os vários métodos de acesso multidimensional existentes, destaca-se uma classe de métodos baseados em árvores balanceadas com representação em R^d. Estes métodos constituem evoluções da árvore de acesso unidimenisonal B-tree e herdam várias características deste último. Neste trabalho, apresentamos alguns métodos de acessos dessa classe de forma a ilustrar a idéia central destes algoritmos e propomos e implementamos um novo método de acesso, a PCA-tree. A PCA-tree utiliza uma heurística de quebra de nós baseada na extração da componente principal das amostras a serem divididas. Um hiperplano que possui essa componente principal como seu vetor normal é definido como o elemento que divide o espaço associado ao nó. A partir dessa idéia básica geramos uma estrutura de dados e algoritmos que utilizam gerenciamento de memória secundária como a B-tree. Finalmente, comparamos o desempenho da PCA-tree com o desempenho de alguns outros métodos de acesso da classe citada, e apresentamos os prós e contras deste novo método de acesso através de análise de resultados práticos.
The advent of applications demanding the representation of objects in multi-dimensional spaces fostered the development of efficient multi-dimensional access methods. Among some early applications that required multi-dimensional access methods, we can cite geo-processing systems, 3D applications and simulators. Later on, multi-dimensional access methods also became important tools in the design of classifiers, mainly of those based on nearest neighbors technique. Consequently, the dimensionality of the spaces has increased, from earlier at most four to dimensionality larger than a thousand. Among several multi-dimensional access methods, the class of approaches based on balanced tree structures with data represented in Rd has received a lot of attention. These methods constitute evolues from the B-tree for unidimensional accesses, and inherit several of its characteristics. In this work, we present some of the access methods based on balanced trees in order to illustrate the central idea of these algorithms, and we propose and implement a new multi-dimensional access method, which we call PCA-tree. It uses an heuristic to break nodes based on the principal component of the sample to be divided. A hyperplane, whose normal is the principal component, is defined as the one that will split the space represented by the node. From this basic idea we define the data structure and the algorithms for the PCA-tree employing secondary memory management, as in B-trees. Finally, we compare the performance of the PCA-tree with the performance of other methods in the cited class, and present advantages and disadvantages of the proposed access method through analysis of experimental results.
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Storm, Christine. "Permutation procedures for ANOVA, regression and PCA". Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/24960.

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Parametric methods are effective and appropriate when data sets are obtained by well-defined random sampling procedures, the population distribution for responses is well-defined, the null sampling distributions of suitable test statistics do not depend on any unknown entity and well-defined likelihood models are provided for by nuisance parameters. Permutation testing methods, on the other hand, are appropriate and unavoidable when distribution models for responses are not well specified, nonparametric or depend on too many nuisance parameters; when ancillary statistics in well-specified distributional models have a strong influence on inferential results or are confounded with other nuisance entities; when the sample sizes are less than the number of parameters and when data sets are obtained by ill-specified selection-bias procedures. In addition, permutation tests are useful not only when parametric tests are not possible, but also when more importance needs to be given to the observed data set, than to the population model, as is typical for example in biostatistics. The different types of permutation methods for analysis of variance, multiple linear regression and principal component analysis are explored. More specifically, one-way, twoway and three-way ANOVA permutation strategies will be discussed. Approximate and exact permutation tests for the significance of one or more regression coefficients in a multiple linear regression model will be explained next, and lastly, the use of permutation tests used as a means to validate and confirm the results obtained from the exploratory PCA will be described.
Dissertation (MSc)--University of Pretoria, 2012.
Statistics
unrestricted
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Le, Hanh T. Banking &amp Finance Australian School of Business UNSW. "Discrete PCA: an application to corporate governance research". Awarded by:University of New South Wales. Banking & Finance, 2007. http://handle.unsw.edu.au/1959.4/40753.

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This thesis introduces the application of discrete Principal Component Analysis (PCA) to corporate governance research. Given the presence of many discrete variables in typical governance studies, I argue that this method is superior to standard PCA that has been employed by others working in the area. Using a dataset of 244 companies listed on the London Stock Exchange in the year 2002-2003, I find that Pearson's correlations underestimate the strength of association between two variables, when at least one of them is discrete. Accordingly, standard PCA performed on the Pearson correlation matrix results in biased estimates. Applying discrete PCA on the polychoric correlation matrix, I extract from 28 corporate governance variables 10 significant factors. These factors represent 8 main aspects of the governance system, namely auditor reputation, large shareholder influence, size of board committees, social responsibility, risk optimisation, director independence level, female representation and institutional ownership. Finally, I investigate the relationship between corporate governance and a firm's long-run share market performance, with the former being the factors extracted. Consistent with Demsetz' (1983) argument, I document limited explanatory power for these governance factors.
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Nziga, Jean-Pierre. "Incremental Sparse-PCA Feature Extraction For Data Streams". NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/365.

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Intruders attempt to penetrate commercial systems daily and cause considerable financial losses for individuals and organizations. Intrusion detection systems monitor network events to detect computer security threats. An extensive amount of network data is devoted to detecting malicious activities. Storing, processing, and analyzing the massive volume of data is costly and indicate the need to find efficient methods to perform network data reduction that does not require the data to be first captured and stored. A better approach allows the extraction of useful variables from data streams in real time and in a single pass. The removal of irrelevant attributes reduces the data to be fed to the intrusion detection system (IDS) and shortens the analysis time while improving the classification accuracy. This dissertation introduces an online, real time, data processing method for knowledge extraction. This incremental feature extraction is based on two approaches. First, Chunk Incremental Principal Component Analysis (CIPCA) detects intrusion in data streams. Then, two novel incremental feature extraction methods, Incremental Structured Sparse PCA (ISSPCA) and Incremental Generalized Power Method Sparse PCA (IGSPCA), find malicious elements. Metrics helped compare the performance of all methods. The IGSPCA was found to perform as well as or better than CIPCA overall in term of dimensionality reduction, classification accuracy, and learning time. ISSPCA yielded better results for higher chunk values and greater accumulation ratio thresholds. CIPCA and IGSPCA reduced the IDS dataset to 10 principal components as opposed to 14 eigenvectors for ISSPCA. ISSPCA is more expensive in terms of learning time in comparison to the other techniques. This dissertation presents new methods that perform feature extraction from continuous data streams to find the small number of features necessary to express the most data variance. Data subsets derived from a few important variables render their interpretation easier. Another goal of this dissertation was to propose incremental sparse PCA algorithms capable to process data with concept drift and concept shift. Experiments using WaveForm and WaveFormNoise datasets confirmed this ability. Similar to CIPCA, the ISSPCA and IGSPCA updated eigen-axes as a function of the accumulation ratio value, forming informative eigenspace with few eigenvectors.
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Rimal, Suraj. "POPULATION STRUCTURE INFERENCE USING PCA AND CLUSTERING ALGORITHMS". OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2860.

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Genotype data, consisting large numbers of markers, is used as demographic and association studies to determine genes related to specific traits or diseases. Handling of these datasets usually takes a significant amount of time in its application of population structure inference. Therefore, we suggested applying PCA on genotyped data and then clustering algorithms to specify the individuals to their particular subpopulations. We collected both real and simulated datasets in this study. We studied PCA and selected significant features, then applied five different clustering techniques to obtain better results. Furthermore, we studied three different methods for predicting the optimal number of subpopulations in a collected dataset. The results of four different simulated datasets and two real human genotype datasets show that our approach performs well in the inference of population structure. NbClust is more effective to infer subpopulations in the population. In this study, we showed that centroid-based clustering: such as k-means and PAM, performs better than model-based, spectral, and hierarchical clustering algorithms. This approach also has the benefit of being fast and flexible in the inference of population structure.
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Silva, Luis Felipe da. "Análise quimiométrica da distribuição de quimioterápicos antimicrobianos (Fluoroquinolonas e Sulfonamidas) na Baía de Ubatuba". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/75/75135/tde-17112016-141429/.

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Os quimioterápicos antimicrobianos são considerados contaminantes emergentes, com a capacidade de criar resistência em bactérias. Têm sido o foco de inúmeras pesquisas relacionadas a impactos ambientais, mas no Brasil, as pesquisas sobre a sua ocorrência em ambientes aquáticos continentais e costeiros são escassas. A cidade de Ubatuba tem uma densidade demográfica cinco vezes maior que a média nacional, aumentada em até doze vezes no verão, pressionando ainda mais os ecossistemas da região. Os rios Acaraú, Lagoa-Tavares, Grande e Indaiá deságuam na baía de Ubatuba, comprometendo a qualidade das suas águas. Este trabalho investigou a contribuição da descarga desses rios para a ocorrência e distribuição de quimioterápicos antimicrobianos (fluoroquinolonas e sulfonamidas) na baía de Ubatuba. Foi analisado um total de 36 amostras de água superficial. As coletas foram realizadas no período seco/chuvoso de 2014/2015. Para a determinação e quantificação dos fármacos foi utilizada SPE como método de preparo de amostra e CLAE-MS/MS para a detecção e quantificação dos antimicrobianos estudados. As características físico-químicas pH, temperatura, salinidade, oxigênio dissolvido, potencial redox (ORP), além do Carbono Orgânico Dissolvido (COD) também foram determinados para caracterização das águas da região. A distribuição espaço-temporal dos fármacos e a possível associação com os demais dados investigados foi avaliada pela ferramenta quimiométrica CA, visando à extração da maior quantidade possível de informações. Os rios e, consequentemente a baía estavam impactados pelo despejo de esgoto doméstico e os seguintes quimioterápicos antimicrobianos foram encontrados: sulfametoxazol (SMX), sulfatiazol (STZ), sulfacloropiridiazina (SCP), sulfaquinoxalina (SQX) e norfloxacina (NOR). Observou-se uma variação espacial e temporal, nos perfis de contaminação revelados pela CA.
Antimicrobial chemotherapeutical agents are considered emerging contaminants capable of creating bacterial resistance. They have been the focus of numerous studies related to environmental impacts, but in Brazil, there is little research on their occurrence in continental and coastal aquatic environments. The city of Ubatuba has a population density five times higher than the national average, which may be increased up to twelve times during the summer, pushing further the region\'s ecosystems. The rivers Acaraú, Lagoa-Tavares, Grande and Indaiá flow into Ubatuba Bay, compromising the quality of its waters. This work investigated those rivers\' discharge contribution on the occurrence and distribution of antimicrobial chemotherapeutical agents (fluoroquinolones and sulfonamides) in Ubatuba Bay. Thirty-six samples of surface water were analyzed. The samples were withdrawn during the dry and rainy seasons of 2014 and 2015, respectively. For the determining and quantifying the antimicrobial chemotherapeutical agents, it was used SPE as a sample preparation method and HPLC?MS/MS for their detection and quantification. Physicochemical characteristics like pH, temperature, salinity, dissolved oxygen, and redox potential (ORP), as well as dissolved organic carbon (DOC) were also determined to characterize the waters of the region. The spatial-temporal distribution of the agents and their possible association with other investigated data was assessed by the chemometric tool CA, aiming at extracting the greatest possible amount of information. The rivers and, consequently, the bay were contaminated by domestic sewage discharges and the following antimicrobial chemotherapeutical agents were detected: sulfamethoxazole (SMX), sulfathiazole (STZ), sulfachloropyridiazine (SCP), sulfaquinoxaline (SQX), and norfloxacin (NOR). The contamination profiles revealed by the CA showed a spatial variation and a temporal one.
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Książki na temat "PCA"

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Association, Portland Cement, red. PCA soil primer. Skokie, Ill. (5420 Old Orchard Rd., Skokie, Ill., 60077-1083): Portland Cement Association, 1992.

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Currie, R. A. 1988 PCA benthic invertebrate monitoring program. Fredericton, N.B: R.A. Currie Ltd., 1989.

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Tours architecture: Philippe Chiambaretta, PCA : deux projets. Saumur: Monografik, 2007.

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Massachusetts. Executive Office for Administration and Finance. PCA research project: Request for proposals (RFP). Boston, Mass: Commonwealth of Massachusetts, Executive Office for Administration and Finance, 1993.

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Assembly, Presbyterian Church in America General. Position papers 1973-1993: PCA digest, part V. Atlanta : Ga: Presbyterian Church in America, 1993.

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Authority, Police Complaints. Reform of the police complaints system: PCA response. London: Police Complaints Authority, 2000.

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Statistics, Uganda Bureau of, red. Report of the pilot census of agriculture (PCA) 2003. Entebbe, Uganda: Uganda Bureau of Statistics, 2004.

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Santos, Boaventura de Sousa. Uma vis~ao solidária da reforma da seguran!pca social. Lisboa: Uni~ao das Mutualidades Portuguesas, 1998.

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India. Office of the Registrar General. Census of India 2001: Individual SC/ST PCA--2001, India. New Delhi: Office of the Registrar General, India, 2009.

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K, Reed John. Plain talk about Genesis: A fresh look at the PCA earth history debate. Los Alamos, NM: Deo Volente Pub., 2000.

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Części książek na temat "PCA"

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Bährle-Rapp, Marina. "PCA". W Springer Lexikon Kosmetik und Körperpflege, 404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_7479.

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Daugherty, Larry C., Brandon J. Fisher, Christin A. Knowlton, Michelle Kolton Mackay, David E. Wazer, Anthony E. Dragun, James H. Brashears i in. "PCa". W Encyclopedia of Radiation Oncology, 612. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-85516-3_1218.

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Zeugmann, Thomas, Pascal Poupart, James Kennedy, Xin Jin, Jiawei Han, Lorenza Saitta, Michele Sebag i in. "PCA". W Encyclopedia of Machine Learning, 766. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_633.

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Bährle-Rapp, Marina. "Zinc PCA". W Springer Lexikon Kosmetik und Körperpflege, 600. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_11319.

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Bährle-Rapp, Marina. "Cetyl PCA". W Springer Lexikon Kosmetik und Körperpflege, 99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_1818.

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Bährle-Rapp, Marina. "Chitosan PCA". W Springer Lexikon Kosmetik und Körperpflege, 103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_1886.

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Bährle-Rapp, Marina. "Copper PCA". W Springer Lexikon Kosmetik und Körperpflege, 128. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_2411.

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Bährle-Rapp, Marina. "TEA-PCA". W Springer Lexikon Kosmetik und Körperpflege, 547. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_10394.

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Bährle-Rapp, Marina. "Lauryl PCA". W Springer Lexikon Kosmetik und Körperpflege, 315. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_5912.

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Bährle-Rapp, Marina. "Lysine PCA". W Springer Lexikon Kosmetik und Körperpflege, 332. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71095-0_6170.

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Streszczenia konferencji na temat "PCA"

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Esumi, N., S. Todo i S. Imashuku. "INTERACTION BETWEEN HEMOSTATIC COMPONENTS AND TUMOR CELLS". W XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643202.

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Involvement of platelets and coagulation systems in the hematogenous metastasis of tumor cells has been suggested from in vivo and in vitro studies, however, there is still controversy about the exact role of hemostasis in metastasis. To date, at least three types of platelet aggregating mechanisms and three types of tumor cell procoagulants have been reported in different tumor cells.We investigated platelet aggregating activity (PAA), procoagulant activity (PCA) and the relationship between these two activities, using eight human neuroblastoma cell lines, three human leukemia cell lines and human mature lymphocytes. PCA in tumor cells was measured by the single stage recalcification time and the assay with chromogenic substrate S2222. PAA was determined turbidometrically with an aggregometer by adding cell suspensions of tumor cells to platelet rich plasma (PRP). The effects of protease inhibitors, enzymes and thrombin inhibitors on PAA and PCA were also studied.Neuroblastoma cell suspensions showed high PCAs which were reduced in Factor VII deficient human plasma, indicating a tissue factor-like activity. NCG line possessing the highest PCA also showed a high PAA, which was inhibited by pretreatment of cell suspensions with phospholipase A2 and abolished in the presence of heparin, hirudin or MD805 in the assay system. Human leukemia cell lines and mature lymphocytes had weak to moderate PCAs without showing PAA, but became active to express PAA after being removed of cell surface sialic acid by neuraminidase. These results suggest that in neuroblastoma, PCA closely linked with PAA may play a role in the hematogenous metastasis. In hemopoietic cells, PAA expressed when cell surface sialic acid is removed does not correlate with PCA, and sialic acid in these cells possibly prevents direct interaction with platelets in the hemostatic homeostasis.
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Abouhamed, Moustafa, Hesham Elmasry i Ahmed Borayek. "Breaking New Ground: Exploring the Connection Between Drilling Parameters and Formation Properties through Advanced Multi-Source Data Pattern Analysis". W International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24366-ea.

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Abstract In the oil and gas industry, an extensive volume of logging data is routinely generated and acquired during operations. This data is accumulated across various phases of exploration, production, and subsequent operations. The challenge lies in extracting meaningful insights from this high-dimensional dataset. Constraints in data visualization (such as the three spatial axes, x, y, and z) and manipulation further complicate the process of drawing valuable conclusions. As a method to tackle this challenge, a technique has been devised to streamline data visualization by reducing high-dimensional data to a lower dimensionality, while retaining vital features crucial for big data analysis. Principal component analysis (PCA) emerges as a prominent approach employed for data dimensionality reduction. PCA simplifies multivariate datasets encompassing well-logging tools (e.g., gamma ray, density, neutron porosity, and resistivity) and drilling parameters such as rate of penetration, weight on bit, and vibration data, condensing them into a reduced number of factors known as principal components (PCs). The results of the dimensionality reduction technique show that various logging data and drilling parameters were condensed into a set of principal components (PC1, PC2…PCx), where x corresponds to the number of utilized variables. The analysis indicates that the first two components (PC1, PC2) capture most of data patterns. The graphical representation of these components (PCA biplot) reveals distinct clusters with clear patterns, facilitating the identification of separate electro-facies. Moreover, PC1 exhibits a strong correlation with lithology variations, enabling its utilization in well-to-well correlation. Additionally, regression analysis demonstrates a significant predictive relationship between PCA components and well logging variables, allowing the use of the R-squared regression technique to forecast a result curve based on PCA input. Higher principal components are found to be more associated with formation fluid, thus complementing the standard petrophysical analysis. The industry's current shift is from data collection to practical applications. By employing diverse dimensionality reduction techniques, the workflow enables the analysis of big data in a more comprehensive manner, unveiling concealed trends and insights. This approach not only facilitates machine-learning and artificial-intelligence applications but also enables a deeper understanding of the data through descriptive forms, thereby supporting industry advancements.
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Hongchuan Yu i M. Bennamoun. "1D-PCA, 2D-PCA to nD-PCA". W 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.19.

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Kılınç, Gizem Simge, i Neriman Bağdatlıoğlu. "Investigation of Adulteration of Sugars in Pomegranate Concentrate". W 7th International Students Science Congress. Izmir International guest Students Association, 2023. http://dx.doi.org/10.52460/issc.2023.023.

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In this study, 58 pomegranate concentrate samples collected directly from the local producers were adulterated with 2 different corn syrup and beet sugar syrup at different rates as 5-50% (w/w). The spectra obtained by FTIR-ATR spectroscopy of authentic and adulterated samples were evaluated by PCA chemometric methods. PCA method was used to distinguish the authentic-adulterated samples, select the spectral region and data reduction. The PCA-loading plot shows the most effective wavenumber to distinguish authentic samples from adulterated ones, which was determined to be in the range of 1200-900 cm-1. In the model created to distinguish the samples; it was found that PC1 and PC2 explained 83.1% of the total variance. Authentic and adulterated samples were successfully distinguished by PCA method. As a result, FTIR spectroscopy combined chemometric methods, can be used as a rapid and eco-friendly as alternative method for detection of in pomegranate concentrate.
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Kawakita, Teru, i Takuichi Nishimura. "Avatar design focusing on kawaii motions". W AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004232.

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Avatars and agents are one of the important products in the metaverse. Kawaii value could potentially enhance the sales of avatars. This study aims to identify the kawaii motions of avatar and to examine the relationship between kawaii motions and purchase intention via Kansei (affective) engineering methodologies. We made the anime-like female avatar with six kawaii motions. The semantic differential (SD) method was used to measure their motions. As a result of principal component analysis (PCA), two PCs were extracted. PC1 has “enjoyable”, “kawaii”, and “charming.” PC2 has “elegant”, “beautiful”, and “stylish.” We visualized the relationship between the two PCs and each motion. Correlation analysis further indicated that kawaii motions were positively correlated with purchase intention (r = .67, p < .001). This study showed that the impression of avatar changes with kawaii motions. Designing the motions of avatar is likely to help them sell more. Avatar creators should design the kawaii motions to draw out the appeal of avatars.
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Kajiwara, Y., M. Sakon, T. Tsujinaka, J. Kambayashi, T. Mori i T. Murachi. "STUDIES ON ROLE OF CALPAIN IN PLATELET REACTION, UTILIZING NEWLY SYNTHETIZED PEPTIDE ANTAGONISTS". W XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1642823.

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The system of calpain (Ca2+-activated protease) and its inhibitor calpastatin in platelets have been well characterized in our laboratory but the role of the system has not been fully elucidated yet, though various endogenous substrates have been identified. Employing SH inhibitors as calpain antagonists, We have proposed a possible role of platelet calpain in myosin light chain (20K) phosphorylation (Biochem.Int. 6,767,1986) but more specific calpain antagonists were required to draw conclusion. Recentry, series of peptide calpain antagonists(PCAs) were syn-thetized such as Ac-Leu-Leu-Nle.al(PCA-I), Ac-Leu-Leu-Met.al(PCA-II) and Leu-Leu-Phe.CH2Cl(PCA-III)(J.Biochem.99,173,1986) and attempts were made to apply them to platelet reaction. ID50 of PCAs against platelet calpain I was as follows; PCA-I:0.04uM,PCA-II:0.luM and PCA-III:0.4uM. Thus, these antagonists were 1000 times more potent than N-ethylmaleimide(NEM), and they did not inhibit Mg2+-ATPase activity of platelet myosin B in contrast to NEM. When PCAs were applied to intact platelets, no effect was obtained against stimulus-linked proteolysis of ABP(aotin binding protein) and P235, indicating poor permeability of the antagonists across the plasma membrane. Thereby PCA was applied to lysed platelets or to permeabilized platelets. Lysed platelets suspension with 2mM EGTA, 2mM EDTA was incubated at 37 C with 32P -ATP,2mM MgCl2, 3mM CaCl2 in the presence or absence of PCA-II and proteolysis of. ABP,P235 and phosphorylation of 20K,47K were studied. The proteolysis and phosphorylation were inhibited by PCA-II in a dose-related manner. Then, PCA-II was applied to permeabilized platelet prepared by a high voltage electric charge to which acriflavine was loaded. PCA-II inhibited Ca2+ stimulated proteolysis and phosphsrylation of the permeabilized platelets likewise but no effect was obtained on Ca2+ stimulated acriflavine secretion from dense granules. These observations indicated that the proteolysis and protein phosphorylation are mediated by calpain but that these phenomena may not be related to secretory process.
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Rehman, Atiqur, Aurangzeb Khan, Muhammad Akhtar Ali, Muhammad Umair Khan, Shafqat Ullah Khan i Liaqat Ali. "Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction". W 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2020. http://dx.doi.org/10.1109/icecce49384.2020.9179199.

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Korada, Satish Babu, Andrea Montanari i Sewoong Oh. "Gossip PCA". W the ACM SIGMETRICS joint international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1993744.1993764.

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Ding, Chris, Ding Zhou, Xiaofeng He i Hongyuan Zha. "R1-PCA". W the 23rd international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1143844.1143880.

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Rujirakul, K., C. So-In, B. Arnonkijpanich, K. Sunat i S. Poolsanguan. "PFP-PCA: Parallel Fixed Point PCA Face Recognition". W 2013 Fourth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2013). IEEE, 2013. http://dx.doi.org/10.1109/isms.2013.38.

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Raporty organizacyjne na temat "PCA"

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Berge, N. UNINETT PCA Policy Statements. RFC Editor, grudzień 1995. http://dx.doi.org/10.17487/rfc1875.

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Lebak, J., A. Reuther i E. Wong. Polymorphous Computing Architecture (PCA) Kernel-Level Benchmarks. Fort Belvoir, VA: Defense Technical Information Center, czerwiec 2005. http://dx.doi.org/10.21236/ada440246.

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Koutcher, Jason. Imaging Prostate Cancer (Pca) Phenotype and Evolution. Fort Belvoir, VA: Defense Technical Information Center, październik 2014. http://dx.doi.org/10.21236/ada612861.

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Lebak, J., A. Reuther i E. Wong. Polymorphous Computing Architecture (PCA) Kernel-Level Benchmarks. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2004. http://dx.doi.org/10.21236/ada419630.

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Lebak, J. M. Preliminary Design Review: PCA Integrated Radar-Tracker Application. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2002. http://dx.doi.org/10.21236/ada419901.

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Chen, Xiao, Charanraj A. Thimmisetty, Charles H. Tong, Joshua A. White, Christina Morency, Can Huang, Mert Korkali i Liang Min. Efficient Stochastic Inversion Using Adjoint Models and Kernel-PCA. Office of Scientific and Technical Information (OSTI), październik 2018. http://dx.doi.org/10.2172/1481063.

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Thimmisetty, Charanraj A., Wenju Zhao, Xiao Chen, Charles H. Tong i Joshua A. White. Efficient Stochastic Inversion Using Adjoint Models and Kernel-PCA. Office of Scientific and Technical Information (OSTI), październik 2017. http://dx.doi.org/10.2172/1404854.

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Naikal, Nikhil, Allen Yang i S. S. Sastry. Informative Feature Selection for Object Recognition via Sparse PCA. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 2011. http://dx.doi.org/10.21236/ada543168.

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Wang, Hao, i Yulai Xu. Chemopreventive Effects of Immunotrophic Preparations in the Development of Prostate Cancer: A Network Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, sierpień 2022. http://dx.doi.org/10.37766/inplasy2022.8.0037.

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Review question / Objective: After successful treatment with ADT, most patients with advanced disease eventually develop resistance and progress to castration-resistant PCa (CRPC), which remains an incurable disease.Low survival and high mortality of PCa are associated with the appearance of CRPC and subsequent metastatic disease. To advance the fight against PCa, it is necessary to continue basic and clinical research to improve testing, prevention and treatment practices. However, under current treatments, prevention should be seen as a basic strategy to reduce PCa morbidity and mortality. Epidemiological studies have shown that a healthy diet may significantly affect the occurrence and progression of prostate cancer. After promising preclinical testing, several natural compounds have been evaluated in the clinic. In this study, we compared data from clinical trials on several natural chemopreventive drugs as well as chemopreventive agents that have been tested for PCa chemoprevention. Provides some grounding support for preventing the progression of prostate cancer.
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Hall, George F., Benjamin R. Partin i John H. Storm. Large Frame Aircraft (LFA) Fire Fighting Validation. TCA/PCA Methodology Evaluation. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1995. http://dx.doi.org/10.21236/ada300680.

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