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Journal articles on the topic 'CCPP DATA'

Author: Grafiati
Published: 11 September 2023

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1

Selim, Abdelfattah, Ameer Megahed, Sahar Kandeel, Abdullah D. Alanazi, and Hamdan I. Almohammed. "Determination of Seroprevalence of Contagious Caprine Pleuropneumonia and Associated Risk Factors in Goats and Sheep Using Classification and Regression Tree." Animals 11, no. 4 (2021): 1165. http://dx.doi.org/10.3390/ani11041165.

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Classification and Regression Tree (CART) analysis is a potentially powerful tool for identifying risk factors associated with contagious caprine pleuropneumonia (CCPP) and the important interactions between them. Our objective was therefore to determine the seroprevalence and identify the risk factors associated with CCPP using CART data mining modeling in the most densely sheep- and goat-populated governorates. A cross-sectional study was conducted on 620 animals (390 sheep, 230 goats) distributed over four governorates in the Nile Delta of Egypt in 2019. The randomly selected sheep and goat
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2

Kyotos, Kitoga Byalungwa, Jemimah Oduma, Raphael Githaiga Wahome, et al. "Gendered Barriers and Opportunities for Women Smallholder Farmers in the Contagious Caprine Pleuropneumonia Vaccine Value Chain in Kenya." Animals 12, no. 8 (2022): 1026. http://dx.doi.org/10.3390/ani12081026.

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Most rural women smallholder farmers in Kenya generate income from the sale of small ruminant animals. However, diseases such as Contagious Caprine Pleuropneumonia (CCPP) prevent them from optimizing earnings. A crucial aspect for the control of CCPP is vaccination. In Kenya, CCPP vaccines are distributed through a government delivery mechanism. This study examines gaps and barriers that prevent women smallholder farmers from accessing CCPP vaccines. Qualitative data collection tools used were focus groups discussions, focus meals, jar voices and key informant interviews. Using outcome mapping
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3

Rosas-Sánchez, Gustavo Armando, Zorba Josué Hernández-Estrada, Mirna Leonor Suárez-Quiroz, Oscar González-Ríos, and Patricia Rayas-Duarte. "Coffee Cherry Pulp by-Product as a Potential Fiber Source for Bread Production: A Fundamental and Empirical Rheological Approach." Foods 10, no. 4 (2021): 742. http://dx.doi.org/10.3390/foods10040742.

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Effects of substituting of wheat flour with coffee cherry pulp powder (CCPP) (coffee by-product as fiber source) at 0, 1.2, 2.3, and 4.7% dry basis (0, 1.25, 2.5, and 5% wet basis) on dough and gluten rheological properties and baking quality were investigated. Rheological properties were analyzed during mixing, compression recovery, and creep-recovery. A rheological approach was adopted to study the viscoelasticity of dough enriched with fiber. The data obtained were analyzed with the Kelvin–Voigt model and the parameters were correlated to bread volume and crumb firmness to assess the effect
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Zhu, Shun-Ye, Min-Lian Du, and Ting-Ting Huang. "An Analysis of Predictive Factors for the Conversion from Premature Thelarche into Complete Central Precocious Puberty." Journal of Pediatric Endocrinology and Metabolism 21, no. 6 (2008): 533–38. http://dx.doi.org/10.1515/jpem-2008-210607.

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Abstract Aim: To determine the predictive factors for the conversion of premature thelarche (PT) into complete central precocious puberty (CCPP) in girls. Design: Prospective. Methods: One hundred and fifty-one girls with PT referred consecutively for evaluation of clinical, laboratory, and ultrasound data. Results: Twenty-one and a half percent of girls with PT converted into CCPP at a chronological age of 7.1 ± 0.7 years and bone age of 9.0 ± 1.1 years. Using logistic regression analysis, longitudinal diameter of uterus (OR = 1.215), Tanner breast stage at the time of first physical examinat
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Arferiandi, Yondha Dwika, Wahyu Caesarendra, and Herry Nugraha. "Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method." Sensors 21, no. 4 (2021): 1022. http://dx.doi.org/10.3390/s21041022.

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Heat rate of a combined cycle power plant (CCPP) is a parameter that is typically used to assess how efficient a power plant is. In this paper, the CCPP heat rate was predicted using an artificial neural network (ANN) method to support maintenance people in monitoring the efficiency of the CCPP. The ANN method used fuel gas heat input (P1), CO2 percentage (P2), and power output (P3) as input parameters. Approximately 4322 actual operation data are generated from the digital control system (DCS) in a year. These data were used for ANN training and prediction. Seven parameter variations were dev
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Afzal, Asif, Saad Alshahrani, Abdulrahman Alrobaian, Abdulrajak Buradi, and Sher Afghan Khan. "Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms." Energies 14, no. 21 (2021): 7254. http://dx.doi.org/10.3390/en14217254.

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This work aims to model the combined cycle power plant (CCPP) using different algorithms. The algorithms used are Ridge, Linear regressor (LR), and upport vector regressor (SVR). The CCPP energy output data collected as a factor of thermal input variables, mainly exhaust vacuum, ambient temperature, relative humidity, and ambient pressure. Initially, the Ridge algorithm-based modeling is performed in detail, and then SVR-based LR, named as SVR (LR), SVR-based radial basis function—SVR (RBF), and SVR-based polynomial regression—SVR (Poly.) algorithms, are applied. Mean absolute error (MAE), R-s
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7

Mohamed Abdi, Omar. "Sero-Prevalence of Contagious Caprine Pleuropneumonia in Goats in Afgoye District Lower Shabelle Region, Somalia." Open Access Journal of Veterinary Science & Research 5, no. 2 (2020): 1–4. http://dx.doi.org/10.23880/oajvsr-16000203.

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Background: Contagious caprine pleuropneumonia (CCPP), caused by Mycoplasma capricolum subsp. Capripneumoniae (Mccp), is one of the most important goat diseases causing high morbidity and mortality, these results in heavy economic losses to countries like Somalia, which is a country affected the civil war of the 1990s. Objective: Generally, the disease presence has been reported in the country. However, there is no quantitative data on the prevalence and distribution of the disease has been scientifically reported in the country. Methods: A cross-sectional study was conducted from September 20
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8

He, Dakuo, Zhengsong Wang, Le Yang, and Zhizhong Mao. "Optimization Control of the Color-Coating Production Process for Model Uncertainty." Computational Intelligence and Neuroscience 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/9731823.

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Optimized control of the color-coating production process (CCPP) aims at reducing production costs and improving economic efficiency while meeting quality requirements. However, because optimization control of the CCPP is hampered by model uncertainty, a strategy that considers model uncertainty is proposed. Previous work has introduced a mechanistic model of CCPP based on process analysis to simulate the actual production process and generate process data. The partial least squares method is then applied to develop predictive models of film thickness and economic efficiency. To manage the mod
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9

Yi, Qiu, Hanqing Xiong, and Denghui Wang. "Predicting Power Generation from a Combined Cycle Power Plant Using Transformer Encoders with DNN." Electronics 12, no. 11 (2023): 2431. http://dx.doi.org/10.3390/electronics12112431.

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With the development of the Smart Grid, accurate prediction of power generation is becoming an increasingly crucial task. The primary goal of this research is to create an efficient and reliable forecasting model to estimate the full-load power generation of a combined-cycle power plant (CCPP). The dataset used in this research is a subset of the publicly available UCI Machine Learning Repository. It contains 9568 items of data collected from a CCPP during its full load operation over a span of six years. To enhance the accuracy of power generation forecasting, a novel forecasting method based
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10

Utami, Louise Indah, Ika Yuliyani, Yanti Suprianti, and Purwinda Iriani. "Load optimization on the performance of combined cycle power plant Block 4 PT Indonesia Power Priok POMU." Journal of Mechatronics, Electrical Power, and Vehicular Technology 13, no. 1 (2022): 24–35. http://dx.doi.org/10.14203/j.mev.2022.v13.24-35.

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Combined cycle power plant (CCPP) is a closed-cycle power plant, where the heat from the gas turbine’s (GT) exhaust gas will be streamed to the heat recovery steam generator (HRSG) to be utilized by steam turbine (ST). CCPP Block 4 (Jawa-2) PT Indonesia Power Priok POMU has an installed capacity of 880 MW, consists of 2 GT units (301.5 MW each) and 1 ST unit (307.5 MW). The performance of a power plant depends on its load, as the efficiency of the turbine generator is low when operated at low loads. The data as of July 2019 showed that 2.2.1 (2 GT, 2 HRSG, 1 ST) configuration has been used in
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11

Khajehpour, Hossein, Nima Norouzi, and Maryam Fani. "An Exergetic Model for the Ambient Air Temperature Impacts on the Combined Power Plants and its Management Using the Genetic Algorithm." International Journal of Air-Conditioning and Refrigeration 29, no. 01 (2021): 2150008. http://dx.doi.org/10.1142/s2010132521500085.

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4E analysis is used on a Brayton–Rankine combined cycle power plant (CCPP) with a dual pressure heat recovery steam generation (HRSG) system. A multi-objective genetic-based evolutionary optimization has been used to estimate the most optimal exergy efficiency status, exergy cost reduction, carbon emission reduction, and NOx emission reduction. For the validation of the data, the simulation results are compared with the plant’s data. This study investigates the effect of every decisive parameter on the objective performance parameters of the CCPP. The primary estimated results are the emission
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12

Santarisi, Nader S., and Sinan S. Faouri. "Prediction of combined cycle power plant electrical output power using machine learning regression algorithms." Eastern-European Journal of Enterprise Technologies 6, no. 8 (114) (2021): 16–26. http://dx.doi.org/10.15587/1729-4061.2021.245663.

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In order to monitor the performance and related efficiency of a combined cycle power plant (CCPP), in addition to the best utilization of its power output, it is vital to predict its full load electrical power output. In this paper, the full load electrical power output of CCPP was predicted employing practically efficient machine learning algorithms, including linear regression, ridge regression, lasso regression, elastic net regression, random forest regression, and gradient boost regression. The original data came from an actual confidential power plant, which was working on a full load for
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13

Tsolas, Ioannis E. "Benchmarking Engineering, Procurement and Construction (EPC) Power Plant Projects by Means of Series Two-Stage DEA." Electricity 1, no. 1 (2020): 1–11. http://dx.doi.org/10.3390/electricity1010001.

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A lot of companies in the power sector use Engineering, Procurement, and Construction (EPC) contracts for complex infrastructure projects such as power plants. This paper presents a series two-stage data envelopment analysis (DEA) approach for the ex ante benchmarking of EPC power plant projects. The current study aims to improve over single-stage DEA and evaluate the efficiency of a group of twelve domestic (located in Greece) and international natural gas-fired power plant projects of different technologies (combined cycle power plant (CCPP) projects with single and multi-shaft configuration
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14

Bany Ata, Ammar, Peter Maximilian Seufert, Christian Heinze, Falah Alobaid, and Bernd Epple. "Optimization of Integrated Gasification Combined-Cycle Power Plant for Polygeneration of Power and Chemicals." Energies 14, no. 21 (2021): 7285. http://dx.doi.org/10.3390/en14217285.

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Efficient and flexible operation is essential for competitiveness in the energy market. However, the CO2 emissions of conventional power plants have become an increasingly significant environmental dilemma. In this study, the optimization of a steam power process of an IGCC was carried out, which improved the overall performance of the plant. CCPP with a subcritical HRSG was modelled using EBSILON Professional. The numerical results of the model were validated by measurements for three different load cases (100, 80, and 60%). The results are in agreement with the measured data, with deviations
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15

Ramphal, S. R., and M. S. Sibiya. "Optimization of coagulation-flocculation parameters using a photometric dispersion analyser." Drinking Water Engineering and Science 7, no. 2 (2014): 73–82. http://dx.doi.org/10.5194/dwes-7-73-2014.

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Abstract. The size and structural characteristics of floc particles are important design and control parameters in water treatment and should be rapidly monitored with a reasonable amount of accuracy. In this study, a photometric dispersion analyser (PDA) coupled to standard jar test experiments was used to optimize coagulation-flocculation parameters while monitoring floc size and structure as well as the rate of floc formation during coagulation using alum. The optimal coagulation conditions were as follows: sample pH 8; alum dosage, 3 mg L−1 as Al3+; G value, 172 s−1; rapid mixing time, 20
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16

Pettersson, Bertil, Göran Bölske, François Thiaucourt, Mathias Uhlén, and Karl-Erik Johansson. "Molecular Evolution of Mycoplasma capricolum subsp. capripneumoniae Strains, Based on Polymorphisms in the 16S rRNA Genes." Journal of Bacteriology 180, no. 9 (1998): 2350–58. http://dx.doi.org/10.1128/jb.180.9.2350-2358.1998.

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ABSTRACT Mycoplasma capricolum subsp.capripneumoniae belongs to the so-called Mycoplasma mycoides cluster and is the causal agent of contagious caprine pleuropneumonia (CCPP). All members of the M. mycoidescluster have two rRNA operons. The sequences of the 16S rRNA genes of both rRNA operons from 20 strains of M. capricolum subsp.capripneumoniae of different geographical origins in Africa and Asia were determined. Nucleotide differences which were present in only one of the two operons (polymorphisms) were detected in 24 positions. The polymorphisms were not randomly distributed in the 16S rR
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17

Ji, Siyu, and Chenglin Wen. "Data Preprocessing Method and Fault Diagnosis Based on Evaluation Function of Information Contribution Degree." Journal of Control Science and Engineering 2018 (July 2, 2018): 1–10. http://dx.doi.org/10.1155/2018/6565737.

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Neural network is a data-driven algorithm; the process established by the network model requires a large amount of training data, resulting in a significant amount of time spent in parameter training of the model. However, the system modal update occurs from time to time. Prediction using the original model parameters will cause the output of the model to deviate greatly from the true value. Traditional methods such as gradient descent and least squares methods are all centralized, making it difficult to adaptively update model parameters according to system changes. Firstly, in order to adapt
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18

March, John B., Jason Clark, and Malcolm Brodlie. "Characterization of Strains of Mycoplasma mycoidessubsp. mycoides Small Colony Type Isolated from Recent Outbreaks of Contagious Bovine Pleuropneumonia in Botswana and Tanzania: Evidence for a New Biotype." Journal of Clinical Microbiology 38, no. 4 (2000): 1419–25. http://dx.doi.org/10.1128/jcm.38.4.1419-1425.2000.

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Four strains of Mycoplasma mycoides subsp.mycoides small colony type (MmmSC) isolated from recent outbreaks of contagious bovine pleuropneumonia (CBPP) in Africa have been investigated. One Botswanan strain, M375, displayed numerous and significant phenotypic differences from both contemporary field isolates and older field and vaccine strains (African, Australian, and European strains dating back to 1936). Differences include altered morphology, reduced capsular polysaccharide production, high sensitivity to MmmSC rabbit hyperimmune antisera in vitro, and unique polymorphisms following immuno
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19

Gafar, Natasha A., and Kai G. Schulz. "A three-dimensional niche comparison of <i>Emiliania huxleyi</i> and <i>Gephyrocapsa oceanica</i>: reconciling observations with projections." Biogeosciences 15, no. 11 (2018): 3541–60. http://dx.doi.org/10.5194/bg-15-3541-2018.

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Abstract. Coccolithophore responses to changes in carbonate chemistry speciation such as CO2 and H+ are highly modulated by light intensity and temperature. Here, we fit an analytical equation, accounting for simultaneous changes in carbonate chemistry speciation, light and temperature, to published and original data for Emiliania huxleyi, and compare the projections with those for Gephyrocapsa oceanica. Based on our analysis, the two most common bloom-forming species in present-day coccolithophore communities appear to be adapted for a similar fundamental light niche but slightly different on
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20

Kozlovsky, V. V., and A. B. Larin. "Methods of monitoring water conditions of the circulatory cooling system of a combined heat and power plant." Vestnik IGEU, no. 3 (2019): 14–21. http://dx.doi.org/10.17588/2072-2672.2019.3.014-021.

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A common method of preventing scale formation on the internal surfaces of the condenser and heat ex-changers at thermal power plants with circulatory cooling systems (CCS) is correctional treatment with an addition of sulfuric acid for acidifying make-up water and reducing its alkalinity and the alkalinity of recycled water and dosing of oxyethylidenediphosphonic acid (OEDFK) for preventing scale deposit formation. The existing method of correction treatment does not provide the necessary degree of heat exchange equipment protection from scale formation. With this method of cleaning, it is imp
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Kidali, John, Simon Omondi, Irene Ogali, Jane Rutto, and Moses Orwa. "Establishment of Multi-Institutional Model for the Delivery of Livestock Technology Needs in Arid and Semi-Arid Areas of Kenya." Asian Journal of Agricultural Extension, Economics & Sociology 41, no. 6 (2023): 139–46. http://dx.doi.org/10.9734/ajaees/2023/v41i61931.

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This study was carried out in Isiolo and Kajiado counties. Livestock production and marketing have been hampered by the unavailability and accessibility to livestock technologies, and information sharing. The overall objective of this study was to assess a multi-institutional model for enhancing the uptake of livestock technologies in Isiolo and Kajiado counties. The key parameters assessed were priority livestock constraints; technology needs; stakeholder partnerships; and technology delivery platform. The data were collected from 451 households belonging to Kenya Climate Smart Agricultural P
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22

Zanacic, Enisa, and Dena W. McMartin. "Calibration and Validation of Calcium Carbonate Precipitation Potential (CCPP) Model for Strontium Quantification in Cold Climate Aquatic Environments." Environments 9, no. 6 (2022): 74. http://dx.doi.org/10.3390/environments9060074.

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The ability to robustly quantify the potential for strontium precipitation and scaling in both natural surface waters and water infrastructure systems is limited. In some regions, both surface and ground water supplies contain significant concentrations of naturally occurring radionuclides, such as strontium, that can accumulate in water, soils and sediments, media, and living tissues. Methods for quantifying and predicting the potential for these occurrences are not readily available nor have they been tested and calibrated to cold region aquatic environments. Through extensive literature rev
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23

Yohana, Eflita, and Rigo Muhammad Herriza. "ANALISIS EFISIENSI SIKLUS COMBINE CYCLE POWER PLANT (CCPP) GAS TURBINE GENERATOR TERHADAP BEBAN OPERASI PT KRAKATAU DAYA LISTRIK." ROTASI 18, no. 4 (2016): 106. http://dx.doi.org/10.14710/rotasi.18.4.106-109.

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Turbin Gas Generator umumnya mengalami perubahan beban untuk memenuhi kebutuhan daya listrik yang berubah sewaktu-waktu, sesuai dengan permintaan konsumen. Beban dari turbin gas yang berubah-ubah akan berpengaruh terhadap kinerja dari tiap-tiap komponennya antara lain kompresor, combustion chamber, dan turbin gas. Dalam merespon perubahan beban yang terjadi, maka suplai bahan bakar, udara pembakaran, serta gas buang yang akan di proses di HRSG untuk mengoperasikan turbin uap ikut berubah pula. Hal tersebut akan berpengaruh pada kinerja dan efisiensi dari gas turbin tersebut. Dengan mengetahui
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Di Matteo, A., K. Mankia, L. Duquenne, et al. "POS0464 IS IT POSSIBLE TO IDENTIFY INDIVIDUALS AT IMMINENT-RISK OF SUB-CLINICAL JOINT INVOLVEMENT?" Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 463.2–464. http://dx.doi.org/10.1136/annrheumdis-2021-eular.2290.

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Background:In anti-CCP antibody (Ab) positive at-risk individuals with MSK symptoms but without clinical synovitis, the detection of ultrasound (US) subclinical inflammation is associated with an increased risk of progression to inflammatory arthritis (IA) 1. Studies suggest that in these at-risk individuals, MSK symptoms develop before subclinical joint inflammation occurs on US. As such, anti-CCP Ab positive individuals with MSK symptoms in the absence of clinical or sub-clinical inflammation may be at the critical time-point for preventive treatments, before joint inflammation occurs and ev
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25

Kaluwa, Catherine, Jemimah Oduma, Faduma Abdullahi Abdirahman, et al. "Using the Women Empowerment in Livestock Index (WELI) to Examine Linkages between Women Smallholder Livestock Farmers’ Empowerment and Access to Livestock Vaccines in Machakos County of Kenya: Insights and Critiques." Vaccines 10, no. 11 (2022): 1868. http://dx.doi.org/10.3390/vaccines10111868.

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Livestock diseases are a major barrier to productivity for both male and female livestock keepers in Africa. In Kenya, two of the most devastating livestock diseases are Newcastle Disease (ND) in poultry and Contagious Caprine Pleuropneumonia (CCPP) in goats. Female livestock keepers tend to own more small ruminants (goats, sheep, etc.) and poultry and their livelihoods are adversely affected if their herds are not vaccinated against these diseases. Livestock farming has gender specific challenges and opportunities, with implications for the empowerment of women smallholder farmers, their hous
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Yeom, Chan-Uk, and Keun-Chang Kwak. "Performance Comparison of ANFIS Models by Input Space Partitioning Methods." Symmetry 10, no. 12 (2018): 700. http://dx.doi.org/10.3390/sym10120700.

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In this paper, we compare the predictive performance of the adaptive neuro-fuzzy inference system (ANFIS) models according to the input space segmentation method. The ANFIS model can be divided into four types according to the method of dividing the input space. In general, the ANFIS1 model using grid partitioning method, ANFIS2 model using subtractive clustering (SC) method, and the ANFIS3 model using fuzzy C-means (FCM) clustering method exist. In this paper, we propose the ANFIS4 model using a context-based fuzzy C-means (CFCM) clustering method. Context-based fuzzy C-means clustering is a
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27

Yao, Kun, Ying Wang, Zongjie Li, Jiajia Li, Jie Wan, and Yong Cao. "Fault Detection and Isolation of Load Mutation Caused by Electrical Interference of Single-Shaft Combined Cycle Power Plant." Applied Sciences 12, no. 22 (2022): 11472. http://dx.doi.org/10.3390/app122211472.

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Because the generator power-measuring equipment is often accompanied by electrical interference in a complex electromagnetic environment in an actual thermal power plant, the output signal will change or even distort while it passes through the devices of acquisition and conversion. Several practical cases have found that the abnormal generation change phenomenon, impulse or oscillation caused by electrical interference, has different effects on the load regulation of steam turbines. These faults also exist in combined-cycle power plants (CCPPs). However, the insufficient installed capacity an
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Yohana, Eflita, and Rahmat Julyansyah. "ANALISIS TOTAL EFISIENSI HRSG (HEAT RECOVERY STEAM GENERATOR) PADA COMBINE CYCLE POWER PLANT (CCPP) 120 MW PT. KRAKATAU DAYA LISTRIK." ROTASI 18, no. 2 (2016): 28. http://dx.doi.org/10.14710/rotasi.18.2.28-31.

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Heat Recovery Steam Generator (HRSG) adalah suatu komponen kesatuan antara turbin gas dan turbin uap pada sistem combine cycle power plant. HRSG berfungsi sebagai alat yang memanfaatkan energi panas gas buang dari gas turbin untuk memanaskan air pada tube - tube yang berada di dalam HRSG, sehingga air berubah menjadi uap panas lanjut untuk memutar turbin uap [1]. Analisa dilakukan pada HRSG Pembangkit Listrik Tenaga Gas dan Uap melalui perhitungan total efisiensi berdasarkan temperatur, tekanan, dan laju massa yang masuk dan keluar HRSG. Selain itu analisa ini untuk membandingkan total efisien
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29

Ramphal, S., and M. Sibiya. "Optimization of coagulation-flocculation parameters using a photometric dispersion analyser." Drinking Water Engineering and Science Discussions 7, no. 1 (2014): 95–120. http://dx.doi.org/10.5194/dwesd-7-95-2014.

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Abstract. The size and structural characteristics of floc particles are important design and control parameters in water treatment and should be rapidly monitored with a reasonable amount of accuracy. In this study, a photometric dispersion analyser (PDA) coupled to standard jar test experiments was used to optimize coagulation-flocculation parameters while monitoring floc size and structure as well as the rate of floc formation during coagulation using alum. The optimal coagulation conditions were as follows: sample pH 8; alum dosage, 6 mg L−1 as Al3+; G value, 116 s−1; rapid mixing time, 20
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30

Liu, Jiajia, Mengyuan Yang, Weiling Zhao, and Xiaobo Zhou. "CCPE: cell cycle pseudotime estimation for single cell RNA-seq data." Nucleic Acids Research 50, no. 2 (2021): 704–16. http://dx.doi.org/10.1093/nar/gkab1236.

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Abstract Pseudotime analysis from scRNA-seq data enables to characterize the continuous progression of various biological processes, such as the cell cycle. Cell cycle plays an important role in cell fate decisions and differentiation and is often regarded as a confounder in scRNA-seq data analysis when analyzing the role of other factors. Therefore, accurate prediction of cell cycle pseudotime and identification of cell cycle stages are important steps for characterizing the development-related biological processes. Here, we develop CCPE, a novel cell cycle pseudotime estimation method to cha
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31

Winn, M. D., P. Patel, and E. Krissinel. "Developments in data harvesting within CCP4." Acta Crystallographica Section A Foundations of Crystallography 60, a1 (2004): s246. http://dx.doi.org/10.1107/s0108767304095121.

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Li, Xiaohui, Dongkai Yang, Jingsong Yang, Guoqi Han, Gang Zheng, and Weiqiang Li. "Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data." Remote Sensing 13, no. 9 (2021): 1832. http://dx.doi.org/10.3390/rs13091832.

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The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CyGNSS) mission was launched in December 2016, which can remotely sense sea surface wind with a relatively high spatio-temporal resolution for tracking tropical cyclones. In recent years, with the gradual development of the geophysical model function (GMF) for CyGNSS wind retrieval, different versions of CyGNSS Level 2 products have been released and their performance has gradually improved. This paper presents a comprehensive evaluation of CyGNSS wind product v1.1 produced by the National Ocea
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Yu, Xiao, Jin Liu, Weiqiang Peng, and Xingyu Peng. "Improving Cross-Company Defect Prediction with Data Filtering." International Journal of Software Engineering and Knowledge Engineering 27, no. 09n10 (2017): 1427–38. http://dx.doi.org/10.1142/s0218194017400046.

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Defect prediction aims to estimate software reliability via learning from historical defect data. Cross-company defect prediction (CCDP) is a practical way that trains a prediction model by exploiting one or multiple projects of a source company and then applies the model to the target company. Unfortunately, larger irrelevant cross-company (CC) data usually makes it difficult to build a CCDP model with high performance. To address such issues, this paper proposes a data filtering method based on agglomerative clustering (DFAC) for CCDP. First, DFAC combines within-company (WC) instances and C
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Ijaz, Muhammad Fazal, Muhammad Attique, and Youngdoo Son. "Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods." Sensors 20, no. 10 (2020): 2809. http://dx.doi.org/10.3390/s20102809.

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Globally, cervical cancer remains as the foremost prevailing cancer in females. Hence, it is necessary to distinguish the importance of risk factors of cervical cancer to classify potential patients. The present work proposes a cervical cancer prediction model (CCPM) that offers early prediction of cervical cancer using risk factors as inputs. The CCPM first removes outliers by using outlier detection methods such as density-based spatial clustering of applications with noise (DBSCAN) and isolation forest (iForest) and by increasing the number of cases in the dataset in a balanced way, for exa
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Linhart, Jakub, and Jaromír Skorkovský. "Theory of Constraints and Its Application in a Specific Company." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 62, no. 6 (2014): 1343–52. http://dx.doi.org/10.11118/actaun201462061343.

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This article analyses the possibilities of the practical utilization of Critical Chain Project Management methodology. Our study analyzed key processes related to the implementation and utilization of such a tool in a concrete company. For this purpose an original program was created. The logic of this program is based on the fundamental principles of the CCPM methodology. The impetus for the design and creation of such a program stemmed from the almost non-existence of such a tool on the Czech market. The theoretical part of the article focuses concisely on the Theory of Constraints and Criti
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Alfons, Andreas, Christophe Croux, and Peter Filzmoser. "Robust Maximum Association Between Data Sets: The R Package ccaPP." Austrian Journal of Statistics 45, no. 1 (2016): 71–79. http://dx.doi.org/10.17713/ajs.v45i1.90.

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An intuitive measure of association between two multivariate data sets can be defined as the maximal value that a bivariate association measure between any one-dimensional projections of each data set can attain. Rank correlation measures thereby have the advantage that they combine good robustness properties with good efficiency. The software package ccaPP provides fast implementations of such maximum association measures for the statistical computing environment R. We demonstrate how to use package ccaPP to compute the maximum association measures, as well as how to assess their significance
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Blanke, Jordan M. "Protection for ‘Inferences Drawn’: A Comparison Between the General Data Protection Regulation and the California Consumer Privacy Act." Global Privacy Law Review 1, Issue 2 (2020): 81–92. http://dx.doi.org/10.54648/gplr2020080.

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Inferences drawn from personal data have arguably become more dangerous to individual privacy than the vast collection and storage of the data itself. Recently there have been questions raised about whether the General Data Protection Regulation (GDPR) has sufficient protection for these inferences. Probably not surprisingly, and learning from this possible shortcoming, the California Consumer Privacy Act (CCPA) specifically includes ‘inferences drawn’ as part of its definition of personal information. This article explores the widespread use of inferential data and compares the protection pro
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Lu, Zhaoyang, Liujiang Kang, Song Gao, and Qiang Meng. "Determination of Minimum Distance to Obstacle Avoidance in the Singapore Strait." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 11 (2018): 73–80. http://dx.doi.org/10.1177/0361198118794056.

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In the maritime simulation models of obstacle avoidance, the parameter of critical contact closest point of approach (CCPA) is defined as the minimum safe distance to avoid an obstacle contact. Although the parameter of CCPA plays a decisive role on the maneuvering of the ship for obstacle avoidance, it is generally set with an uncalibrated input value in many obstacle avoidance simulation models. This study focuses on the parameter calibration of the critical CCPA by utilizing the automatic identification system (AIS) data in the Singapore Strait and maneuver simulation experiments. First, an
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Sánchez-Botet, Abril, Eva Quandt, Núria Masip, et al. "Atypical cyclin P regulates cancer cell stemness through activation of the WNT pathway." Cellular Oncology 44, no. 6 (2021): 1273–86. http://dx.doi.org/10.1007/s13402-021-00636-7.

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Abstract Purpose Cancer stem cells represent a cancer cell subpopulation that has been found to be associated with metastasis and chemoresistance. Therefore, it is vital to identify mechanisms regulating cancer stemness. Previously, we have shown that the atypical cyclin P (CCNP), also known as CNTD2, is upregulated in lung and colorectal cancers and is associated with a worse clinical prognosis. Given that other cyclins have been implicated in pluripotency regulation, we hypothesized that CCNP may also play a role in cancer stemness. Methods Cell line-derived spheroids, ex vivo intestinal org
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Gunst, Simon, and Ferdi De Ville. "The Brussels Effect: How the GDPR Conquered Silicon Valley." European Foreign Affairs Review 26, Issue 3 (2021): 437–58. http://dx.doi.org/10.54648/eerr2021036.

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In 2018, the Californian government adopted a new data protection framework. The flagship of this framework is the California Consumer Privacy Act (CCPA). As this new framework is widely considered to resemble the European Union’s (EU’s) General Data Protection Regulation (GDPR), this article intends to investigate whether the Brussels Effect could explain this resemblance. We apply process-tracing to test if the Brussels Effect causally connects the GDPR with the CCPA. The analysis is based on a careful evaluation of three sets of evidence. Firstly, privacy policies of Apple, Facebook, and Go
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Nur Aida Sabrina, M. R., C. L. Too, A. Haziqah Itqan, et al. "POS0457 CHANGES OF RF ISOTYPE PROFILE IN PATIENTS WITH RHEUsMATOID ARTHRITIS: DATA FROM 10 YEARS FOLLOW-UP STUDY." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 459–60. http://dx.doi.org/10.1136/annrheumdis-2021-eular.1714.

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Background:Presence of autoantibodies such as anti-cyclic citrullinated peptide (anti-CCP2) and rheumatoid factor (RF) is of considerable diagnostic and prognostic value in patients with rheumatoid arthritis (RA). Limited data are available for autoantibody profile changes over time in patients with RA.Objectives:Thus, we compared the presence of anti-CCP2 and different RF isotypes in individual RA patients at baseline and during 10 years follow-up.Methods:A total of 320 RA patients from the Malaysian Epidemiological Investigation of Rheumatoid Arthritis (MyEIRA) case-control study was include
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Evans, Phil. "CCP4 Tools for X-ray Integration and Data Processing." Nihon Kessho Gakkaishi 56, Supplement (2014): s24. http://dx.doi.org/10.5940/jcrsj.56.s24.

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Yang, W., and P. Briggs. "Towards data management for PX structure determination with CCP4." Acta Crystallographica Section A Foundations of Crystallography 62, a1 (2006): s132. http://dx.doi.org/10.1107/s0108767306097376.

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Yi, Fu-Xian, and Ian M. Bird. "Pregnancy-Specific Modulatory Role of Mitochondria on Adenosine 5′-Triphosphate-Induced Cytosolic [Ca2+] Signaling in Uterine Artery Endothelial Cells." Endocrinology 146, no. 11 (2005): 4844–50. http://dx.doi.org/10.1210/en.2005-0414.

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Vascular endothelial cells respond to extracellular ATP by inositol 1,4,5-trisphosphate-mediated Ca2+ release from the endoplasmic reticulum followed by Ca2+ influx and subsequent synthesis of vasodilators. In this study, the contribution of mitochondria in shaping the ATP-induced Ca2+ increase was examined in ovine uterine artery endothelial cells from nonpregnant and pregnant (late gestation) ewes (NP- and P-UAEC, passage 4). The mitochondrial protonophore carbonyl cyanide m-chlorophenylhydrazone (CCCP) induced a rapid mitochondrial depolarization. CCCP also slowly increased cytosolic [Ca2+]
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Krissinel, Eugene, Andrey A. Lebedev, Ville Uski, et al. "CCP4 Cloud for structure determination and project management in macromolecular crystallography." Acta Crystallographica Section D Structural Biology 78, no. 9 (2022): 1079–89. http://dx.doi.org/10.1107/s2059798322007987.

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Nowadays, progress in the determination of three-dimensional macromolecular structures from diffraction images is achieved partly at the cost of increasing data volumes. This is due to the deployment of modern high-speed, high-resolution detectors, the increased complexity and variety of crystallographic software, the use of extensive databases and high-performance computing. This limits what can be accomplished with personal, offline, computing equipment in terms of both productivity and maintainability. There is also an issue of long-term data maintenance and availability of structure-soluti
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Yang, William. "Economic Feasibility Study of DES/CCHP in Different Regions of China." Advanced Materials Research 616-618 (December 2012): 1374–76. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1374.

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Recently China issued a series of policies that benefit the development of DES/CCHP. We are confident that DES/CCHP fueled by natural gas will boom in recent decades. Operation cost is the key factor that decides if a project will succeed. This paper analyzed three factors that influence the cost of DES/CCHP project: annual running time; comprehensive energy efficiency and the price of natural gas and electricity, reaching the conclusion that the price of natural gas and electricity is the determinant factor to a DES/CCHP project and gas-electricity price ratio is a comprehensive index that in
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Lien, K., L. Yau, K. Van Aarsen, A. Wakabayashi, and M. Bhimani. "LO73: Are women under-represented in emergency medicine residency programs across Canada?" CJEM 22, S1 (2020): S34. http://dx.doi.org/10.1017/cem.2020.128.

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Introduction: 2018 data from the Canadian Medical Association website shows that of practicing emergency physicians country-wide, only 31% were female. While there are some studies that examine the number and proportion of Canadian female applicants applying to surgical specialties, there are very few studies that are specific to emergency medicine (EM), and none that are Canadian in scope. Given the changing gender ratio of graduating medical students in Canada, the primary objective of this study is to assess the mean proportion and trends in proportion of females who applied and matched to
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Calzada, Igor. "Citizens’ Data Privacy in China: The State of the Art of the Personal Information Protection Law (PIPL)." Smart Cities 5, no. 3 (2022): 1129–50. http://dx.doi.org/10.3390/smartcities5030057.

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The Personal Information Protection Law (PIPL) was launched on 1 November 2021 in China. This article provides a state-of-the-art review of PIPL through a policy analysis. This paper aims to compare the three main worldwide data privacy paradigms that exist at present: (i) the General Data Protection Regulation (GDPR) in the E.U., (ii) the California Consumer Privacy Act (CCPA) in the U.S., and (iii) PIPL in China. The research question is twofold: (i) how will PIPL affect the data privacy of Chinese citizens and consequently, (ii) how will PIPL influence the global digital order, particularly
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Williams, Michael J., Mehwish Akram, Deimante Barkauskaite, et al. "CCAP regulates feeding behavior via the NPF pathway in Drosophila adults." Proceedings of the National Academy of Sciences 117, no. 13 (2020): 7401–8. http://dx.doi.org/10.1073/pnas.1914037117.

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The intake of macronutrients is crucial for the fitness of any animal and is mainly regulated by peripheral signals to the brain. How the brain receives and translates these peripheral signals or how these interactions lead to changes in feeding behavior is not well-understood. We discovered that 2 crustacean cardioactive peptide (CCAP)-expressing neurons in Drosophila adults regulate feeding behavior and metabolism. Notably, loss of CCAP, or knocking down the CCAP receptor (CCAP-R) in 2 dorsal median neurons, inhibits the release of neuropeptide F (NPF), which regulates feeding behavior. Furt
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LOI, P. K., S. A. EMMAL, Y. PARK, and N. J. TUBLITZ. "IDENTIFICATION, SEQUENCE AND EXPRESSION OF A CRUSTACEAN CARDIOACTIVE PEPTIDE (CCAP) GENE IN THE MOTHMANDUCA SEXTA." Journal of Experimental Biology 204, no. 16 (2001): 2803–16. http://dx.doi.org/10.1242/jeb.204.16.2803.

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SUMMARYThe crustacean cardioactive peptide (CCAP) gene was isolated from the tobacco hawkmoth Manduca sexta. The gene has an open reading frame of 125 amino acid residues containing a single, complete copy of CCAP. Analysis of the gene structure revealed three introns interrupting the coding region. A comparison of the M. sexta CCAP gene with the Drosophila melanogaster genome database reveals significant similarities in sequence and gene structure.The spatial and temporal expression patterns of the CCAP gene in the M. sexta central nervous system were determined in all major post-embryonic st
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