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Journal articles on the topic 'Regression Coefficient And Quality Control Tool'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Xu, Xin-fang, Li-xing Nie, Li-li Pan, et al. "Quantitative Analysis ofPanax ginsengby FT-NIR Spectroscopy." Journal of Analytical Methods in Chemistry 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/741571.

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Near-infrared spectroscopy (NIRS), a rapid and efficient tool, was used to determine the total amount of nine ginsenosides inPanax ginseng. In the study, the regression models were established using multivariate regression methods with the results from conventional chemical analytical methods as reference values. The multivariate regression methods, partial least squares regression (PLSR) and principal component regression (PCR), were discussed and the PLSR was more suitable. Multiplicative scatter correction (MSC), second derivative, and Savitzky-Golay smoothing were utilized together for the

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Yaswanth, Allamneni*1 T.E.G.K Murthy2 Mandava Venkata Basaveswara Rao3 Y. Udaya Bhaskara Rao4 M. Sivanath5. "VALIDATION OF RP-HPLC ANALYTICAL METHOD FOR ESTIMATION OF CARMUSTINE IN BULK AND LYOPHILIZED VIALS." INDO AMERICAN JOURNAL OF PHARMACEUTICAL RESEARCH 07, no. 09 (2017): 416–23. https://doi.org/10.5281/zenodo.1036370.

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Carmustine is an anti-neoplastic agent. A reverse phase high-performance liquid chromatographic (RP-HPLC) assay method was developed by slightly modifying the USP method and validated for quantitative determination of carmustine in bulk drug and in lyophilized vials. The column utilized for the estimation of assay was 4.6 mm X 15-cm, 5-μm Packing L1 (C18) and the mobile phase employed was a mixture of acetonitrile and water in the ratio of 3:7. The detection was carried out at a wavelength of 200 nm with PDA detector. The flow rate is 1.5 mL per minute at a set temperature of 4-6°C with a tota

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Pezzei, Cornelia, Stefan Schönbichler, Shah Hussain, et al. "Near-infrared and Mid-infrared Spectroscopic Techniques for a Fast and Nondestructive Quality Control of Thymi herba." Planta Medica 84, no. 06/07 (2017): 420–27. http://dx.doi.org/10.1055/s-0043-121038.

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AbstractIn this study, novel near-infrared and attenuated total reflectance mid-infrared spectroscopic methods coupled with multivariate data analysis were established enabling the determination of thymol, rosmarinic acid, and the antioxidant capacity of Thymi herba. A new high-performance liquid chromatography method and UV-Vis spectroscopy were applied as reference methods. Partial least squares regressions were carried out as cross and test set validations. To reduce systematic errors, different data pretreatments, such as multiplicative scatter correction, 1st derivative, or 2nd derivative

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Park, Jong-Rak, Hyun-Hee Kang, Jong-Ku Cho, Kwang-Deog Moon, and Young-Jun Kim. "Application of Non-Destructive Rapid Determination of Piperine in Piper nigrum L. (Black Pepper) Using NIR and Multivariate Statistical Analysis: A Promising Quality Control Tool." Foods 9, no. 10 (2020): 1437. http://dx.doi.org/10.3390/foods9101437.

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Piperine is a bioactive alkaloid compound which provides a unique spicy flavor derived from plants of the Piper nigrum L. Black pepper (n = 160) collected from Vietnam was studied using non-destructive near infrared spectroscopy (NIRS). The spectral acquisition ranged from 1100 to 2500 nm, and a chemometrics analysis program was performed to quantify the piperine contents. High performance liquid chromatography (HPLC) analysis was carried out to develop a chemometric model based on reference values. The black pepper samples were divided into two groups used for calibration (n = 120) and predic

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Kodu, Anselmus Rufus, Kuncu Saragi, Frangky Sitorus, and Ktut Silvanita. "The Influence of Internal Control, User Capability and Information Technology on the Quality of the Accounting Information System at PT VK." International Journal of Research and Innovation in Social Science VII, no. XII (2023): 175–82. http://dx.doi.org/10.47772/ijriss.2023.7012015.

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This study aims to determine the effect of internal control, user capabilities, and information technology utilization on the quality of accounting information systems at PT VKP. This study uses a quantitative method. The data were obtained by distributing questionnaires to the company’s employees and then analyzed using multiple linear regression as a statistical analysis tool. The sample was 50 employees of PT VKP, those working in the Bureau of Finance, Bureau of Human Resources, General Affairs and Information Technology, Bureau of Internal Control System, Bureau of Marketing, Bureau of Op

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Kshirsagar, Mugdha P., and Kanchan C. Khare. "Support Vector Regression Models of Stormwater Quality for a Mixed Urban Land Use." Hydrology 10, no. 3 (2023): 66. http://dx.doi.org/10.3390/hydrology10030066.

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The present study is an attempt to model the stormwater quality of a stream located in Pune, India. The city is split up into twenty-three basins (named A to W) by the Pune Municipal Corporation. The selected stream lies in the haphazardly expanded peri-urban G basin. The G basin has constructed stormwater drains which open up in this selected open stream. The runoff over the regions picks up the non-point source pollutants which are also added to the selected stream. The study becomes more complex as the stream is misused to dump trash materials, garbage and roadside litter, which adds to the

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Franca, Rita D. G., Virgínia C. F. Carvalho, Joana C. Fradinho, Maria A. M. Reis, and Nídia D. Lourenço. "Raman Spectrometry as a Tool for an Online Control of a Phototrophic Biological Nutrient Removal Process." Applied Sciences 11, no. 14 (2021): 6600. http://dx.doi.org/10.3390/app11146600.

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Real-time bioprocess monitoring is crucial for efficient operation and effective bioprocess control. Aiming to develop an online monitoring strategy for facilitating optimization, fault detection and decision-making during wastewater treatment in a photo-biological nutrient removal (photo-BNR) process, this study investigated the application of Raman spectroscopy for the quantification of total organic content (TOC), volatile fatty acids (VFAs), carbon dioxide (CO2), ammonia (NH3), nitrate (NO3), phosphate (PO4), total phosphorus (total P), polyhydroxyalkanoates (PHAs), total carbohydrates, to

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Rahman, M. A., A. B. Baharudin, S. Adi, et al. "Dimensional Deviation Affected by Cutting Parameters and Machine Tool Rigidity in Dry Turning of S45C Steel." Applied Mechanics and Materials 315 (April 2013): 749–54. http://dx.doi.org/10.4028/www.scientific.net/amm.315.749.

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Performance of machining processes is assessed by dimensional and geometrical accuracy which is mentioned in this paper as dimensional deviation. A part quality does not depend solely on the depth of cut, feed rate and cutting speed. Other variable such as excessive machine tool vibration due to insufficient dynamic rigidity can be deleterious to the desired results. The focus of the present study is to find a correlation between dimensional deviation against cutting parameters and machine tool vibration in dry turning. Hence cutting parameters and vibration-based regression model can be estab

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Wang, Zhenjie, Changzhou Zuo, Min Chen, et al. "A Novel Variable Selection Method Based on Ordered Predictors Selection and Successive Projections Algorithm for Predicting Gastrodin Content in Fresh Gastrodia elata Using Fourier Transform Near-Infrared Spectroscopy and Chemometrics." Foods 12, no. 24 (2023): 4435. http://dx.doi.org/10.3390/foods12244435.

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Gastrodin is one of the most important biologically active components of Gastrodia elata, which has many health benefits as a dietary and health food supplement. However, gastrodin measurement traditionally relies on laboratory and sophisticated instruments. This research was aimed at developing a rapid and non-destructive method based on Fourier transform near infrared (FT-NIR) to predict gastrodin content in fresh Gastrodia elata. Auto-ordered predictors selection (autoOPS) and successive projections algorithm (SPA) were applied to select the most informative variables related to gastrodin c

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Anggraini, Leriza Desitama, and Andini Utari Putri. "THE IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE AND THE GOVERNMENT’S INTERNAL CONTROL SYSTEM IN EFFORT TO IMPROVE THE QUALITY OF REGIONAL FINANCIAL REPORTS IN PALEMBANG CITY." FINANCIAL: JURNAL AKUNTANSI 9, no. 1 (2023): 90–96. http://dx.doi.org/10.37403/financial.v9i1.512.

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The implementation of good corporate governance should be supervised and controlled both internally and externally so that the quality of LKPD can be guaranteed. SPIP also has a role in controlling which has the impact of the presentation of quality financial reports. This study aims to find out how much the implementation of good corporate governance and the government's internal control system is to improve the quality of regional financial reports in Palembang City. This study used a sample of 58 respondents in the Regional Financial and Asset Management Agency (BPKAD) Palembang City. The r

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Gudjónsdóttir, María, Gudrún Svana Hilmarsdóttir, Ólafur Ögmundarson, and Sigurjón Arason. "Near-Infrared Spectroscopy and Chemometrics for Effective Online Quality Monitoring and Process Control during Pelagic Fishmeal and Oil Processing." Foods 13, no. 8 (2024): 1186. http://dx.doi.org/10.3390/foods13081186.

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Near-infrared spectroscopy has become a common quality assessment tool for fishmeal products during the last two decades. However, to date it has not been used for active online quality monitoring during fishmeal processing. Our aim was to investigate whether NIR spectroscopy, in combination with multivariate chemometrics, could actively predict the changes in the main chemical quality parameters of pelagic fishmeal and oil during processing, with an emphasis on lipid quality changes. Results indicated that partial least square regression (PLSR) models from the NIR data effectively predicted p

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Matthew, Jansen. "Optimization of Machining Parameters for Nimonic PE16 using Machine Learning Models." International Journal of Recent Technology and Engineering (IJRTE) 13, no. 3 (2024): 1–6. https://doi.org/10.35940/ijrte.C8124.13030924.

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<strong>Abstract:</strong> Machining high-temperature alloys such as Nimonic PE16 demands precise control of machining parameters to achieve desired outcomes while minimizing tool wear and optimizing surface finish. In this study, we propose using machine learning regression models combined with synthetic data and response surface methodology strategies to optimize machining parameters for PE16. We aim to develop a predictive model that accurately estimates optimal cutting speeds and feed rates based on key output parameters, including cutting forces and surface roughness. Our methodology invo

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Anis, Assad, Muhammad Shakaib, and Muhammad Sohail Hanif. "Statistical and Machine Learning Classification Approaches to Predicting and Controlling Peak Temperatures During Friction Stir Welding (FSW) of Al-6061-T6 Alloys." Journal of Manufacturing and Materials Processing 9, no. 7 (2025): 246. https://doi.org/10.3390/jmmp9070246.

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This paper presents optimization of peak temperatures achieved during friction stir welding (FSW) of Al-6061-T6 alloys. This research work employed a novel approach by investigating the effect of FSW welding process parameters on peak temperatures through the implementation of finite element analysis (FEA), the Taguchi method, analysis of variance (ANOVA), and machine learning (ML) algorithms. COMSOL 6.0 Multiphysics was used to perform FEA to predict peak temperatures, incorporating seven distinctive welding parameters: tool material, pin diameter, shoulder diameter, tool rotational speed, we

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Ghante, Minal R., Akash C. Masale, Supriya G. Jagtap, Sanjay D. Sawant, and Vandana S. Nikam. "SIMPLE, COST EFFECTIVE UV-VIS METHOD FOR ESTIMATION OF ELVITEGRAVIR (EVG) IN PURE AND DOSAGE FORM BY QBD APPROACH AND IN PRESENCE OF MAMMALIAN PLASMA." INDIAN DRUGS 57, no. 01 (2020): 51–58. http://dx.doi.org/10.53879/id.57.01.11738.

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A simple, cost effective, UV-VIS spectrophotometric method for analysis of elvitegravir (EVG) in the presence of plasma was developed to facilitate the assessment of clinical samples or as a routine alternative tool in drug quality control laboratories for quantitative estimation of EVG. The present work delineates the estimation of EVG in 50μl of rat plasma that is directly dissolved in dimethyl sulfoxide (DMSO) and subjected to analysis. Firstly, estimation of EVG in pure and dosage form was developed and validated using analytical quality by design (QbD) as per ICH Q2 (R1), Q8 (R2) guidelin

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Campos, Ana Carolina Maioli, Paulo Ricardo Gherardi Hein, Rafael Farinassi Mendes, Lourival Marin Mendes, and Gilles Chaix. "Near infrared spectroscopy to evaluate composition of agro-based particleboards." BioResources 4, no. 3 (2009): 1058–69. http://dx.doi.org/10.15376/biores.4.3.1058-1069.

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Particleboards can be manufactured from particles of any lignin-cellulosic material that can be combined with an adhesive and consolidated under the action of temperature and pressure. Because the raw materials in the industrial process are continually changing, the particleboard industry requires methods for monitoring the quality of their products. Hence, the aim of this paper was to evaluate the composition of the agro-based particleboards by near infrared spectroscopy. In this study, agro-based particleboards produced with different compositions of Eucalyptus and Pinus wood particles and s

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16

Nikolich, K., C. Sergides, and A. Pittas. "The application of near infrared reflectance spectroscopy (NIRS) for the quantitative analysis of hydrocortisone in primary materials." Journal of the Serbian Chemical Society 66, no. 3 (2001): 189–98. http://dx.doi.org/10.2298/jsc0103189n.

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Near Infrared Reflectance Spectroscopy (NIRS), coupled with fiber optic probes, has been shown to be a quick and reliable analytical tool for quality assurance and quality control in the pharmaceutical industry, both for verifications of raw materials and quantification of the active ingredients in final products. In this paper, a typical pharmaceutical product, hydrocortisone sodium succinate, is used as an example for the application of NIR spectroscopy for quality control. In order to develop an NIRS method with higher precision and accuracy than the official UV/VIS spectroscopic method (BP

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Jansen, Matthew, and Ibrahim Deiab. "Optimization of Machining Parameters for Nimonic PE16 Using Machine Learning Models." International Journal of Recent Technology and Engineering (IJRTE) 13, no. 3 (2024): 1–6. http://dx.doi.org/10.35940/ijrte.c8124.13030924.

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Machining high-temperature alloys such as Nimonic PE16 demands precise control of machining parameters to achieve desired outcomes while minimizing tool wear and optimizing surface finish. In this study, we propose using machine learning regression models combined with synthetic data and response surface methodology strategies to optimize machining parameters for PE16. We aim to develop a predictive model that accurately estimates optimal cutting speeds and feed rates based on key output parameters, including cutting forces and surface roughness. Our methodology involves collecting experimenta

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Pandey, A., R. Kumar, A. K. Sahoo, A. Paul, and A. Panda. "Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning." International Journal of Automotive and Mechanical Engineering 17, no. 1 (2020): 7629–47. http://dx.doi.org/10.15282/ijame.17.1.2020.12.0567.

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The current research presents an overall performance-based analysis of Trihexyltetradecylphosphonium Chloride [[CH3(CH2)5]P(Cl)(CH2)13CH3] ionic fluid mixed with organic coconut oil (OCO) during turning of hardened D2 steel. The application of cutting fluid on the cutting interface was performed through Minimum Quantity Lubrication (MQL) approach keeping an eye on the detrimental consequences of conventional flood cooling. PVD coated (TiN/TiCN/TiN) cermet tool was employed in the current experimental work. Taguchi’s L9 orthogonal array and TOPSIS are executed to analysis the influences, signif

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Dlangalala, Thobeka, Alfred Musekiwa, and Tivani Mashamba-Thompson. "Quality of TB diagnostic services at primary healthcare clinics in eThekwini district, South Africa." PLOS ONE 19, no. 7 (2024): e0307149. http://dx.doi.org/10.1371/journal.pone.0307149.

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Overcoming the TB epidemic requires moving past expanding the coverage of healthcare services and looking to improve the quality of TB services. During COVID-19, the suboptimal state of TB services has further deteriorated, and little is known about how these services have fared after the pandemic. The study aims to assess the quality TB diagnostic services in primary health care (PHC) clinics in the eThekwini district, South Africa. Twenty-one clinics with the lowest and highest headcounts from each region of eThekwini were purposively selected. An audit tool adapted from the United States Ag

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Calle, José Luis P., Marta Barea-Sepúlveda, Ana Ruiz-Rodríguez, José Ángel Álvarez, Marta Ferreiro-González, and Miguel Palma. "Rapid Detection and Quantification of Adulterants in Fruit Juices Using Machine Learning Tools and Spectroscopy Data." Sensors 22, no. 10 (2022): 3852. http://dx.doi.org/10.3390/s22103852.

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Fruit juice production is one of the most important sectors in the beverage industry, and its adulteration by adding cheaper juices is very common. This study presents a methodology based on the combination of machine learning models and near-infrared spectroscopy for the detection and quantification of juice-to-juice adulteration. We evaluated 100% squeezed apple, pineapple, and orange juices, which were adulterated with grape juice at different percentages (5%, 10%, 15%, 20%, 30%, 40%, and 50%). The spectroscopic data have been combined with different machine learning tools to develop predic

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Alimardanova, Maria, Zhandos Akpanov, and Alexander Prosekov. "Improving the quality and the technology of processed cheeses." Potravinarstvo Slovak Journal of Food Sciences 17 (October 27, 2023): 788–800. http://dx.doi.org/10.5219/1911.

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This article investigates processed cheese's nutritional value and safety by adding vegetable additives (dry Spirulina powder). Processed cheese for lunch is taken as a basis for the formulation. As a control, we took cheese made according to classical technology. We used cheeses from cow's milk. We used combined raw materials in the developed technology: cow's and goat's milk cheeses. Spirulina was added to the formulation as an enrichment agent in the 1%, 2%, and 3% ratio, respectively. The sample with a 1% addition was found to be rational according to the results of the organoleptic evalua

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Zhou, Menghua, Yinghua Chen, and Guoqing Zhang. "Force Prediction and Cutting-Parameter Optimization in Micro-Milling Al7075-T6 Based on Response Surface Method." Micromachines 11, no. 8 (2020): 766. http://dx.doi.org/10.3390/mi11080766.

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Optimization of cutting parameters in micro-milling is an important measure to improve surface quality and machining efficiency of the workpiece. Investigation of micro-milling forces prediction plays a positive role in improving machining capacity. To predict micro-milling forces and optimize micro-milling cutting parameters (per-feed tooth (fz), axial cutting depth (ap), spindle speed (n) and tool extended length (l)), a rotatable center composite experiment of micro-milling straight micro-groove in the workpiece of Al7075-T6 were designed, based on second-order response surface methods. Acc

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Abobakr Yahya, Abobakr Saeed, Ali Najah Ahmed, Faridah Binti Othman, et al. "Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios." Water 11, no. 6 (2019): 1231. http://dx.doi.org/10.3390/w11061231.

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Water quality analysis is a crucial step in water resources management and needs to be addressed urgently to control any pollution that may adversely affect the ecosystem and to ensure the environmental standards are being met. Thus, this work is an attempt to develop an efficient model using support vector machine (SVM) to predict the water quality of Langat River Basin through the analysis of the data of six parameters of dual reservoirs that are located in the catchment. The proposed model could be considered as an effective tool for identifying the water quality status for the river catchm

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Fujii, Hideyuki, Yukio Takahashi, Jiei Hodohara, et al. "Estimation of Hardness and Residual Stress on End-Milled Surfaces Using Linear Regression Model." International Journal of Automation Technology 17, no. 6 (2023): 564–74. http://dx.doi.org/10.20965/ijat.2023.p0564.

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This study presents a novel method for estimating the surface integrity of end-milled workpieces. It is well known that the mechanical properties of machined surfaces in cutting affect the quality of the final product. In particular, hardness and residual stress often require strict control; however, nondestructive inspection remains a challenge. This study proposes a method to estimate the hardness and residual stress of end-milled surfaces by analyzing cutting forces and images of the tool during machining to obtain approximate temperature and stress distributions. These state quantities are

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García del Toro, Eva M., Luis Francisco Mateo, Sara García-Salgado, M. Isabel Más-López, and Maria Ángeles Quijano. "Use of Artificial Neural Networks as a Predictive Tool of Dissolved Oxygen Present in Surface Water Discharged in the Coastal Lagoon of the Mar Menor (Murcia, Spain)." International Journal of Environmental Research and Public Health 19, no. 8 (2022): 4531. http://dx.doi.org/10.3390/ijerph19084531.

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The Mar Menor is a Mediterranean coastal saltwater lagoon (Murcia, Spain) that represents a unique ecosystem of vital importance for the area, from both an economic and ecological point of view. During the last decades, the intense agricultural activity has caused episodes of eutrophication due to the contribution of inorganic nutrients, especially nitrates. For this reason, it is important to control the quality of the water discharged into the Mar Menor lagoon, which can be performed through the measurement of dissolved oxygen (DO). Therefore, this article aimed to predict the DO in the wate

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Guo, Xiuhan, Rui Cai, Shisheng Wang, Bo Tang, Yueqing Li, and Weijie Zhao. "Non-destructive geographical traceability of sea cucumber ( Apostichopus japonicus ) using near infrared spectroscopy combined with chemometric methods." Royal Society Open Science 5, no. 1 (2018): 170714. http://dx.doi.org/10.1098/rsos.170714.

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Sea cucumber is the major tonic seafood worldwide, and geographical origin traceability is an important part of its quality and safety control. In this work, a non-destructive method for origin traceability of sea cucumber ( Apostichopus japonicus ) from northern China Sea and East China Sea using near infrared spectroscopy (NIRS) and multivariate analysis methods was proposed. Total fat contents of 189 fresh sea cucumber samples were determined and partial least-squares (PLS) regression was used to establish the quantitative NIRS model. The ordered predictor selection algorithm was performed

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Wang, Jingting, Mingying Lu, Yongxing Chen, et al. "Machine Learning-Assisted Large-Area Preparation of MoS2 Materials." Nanomaterials 13, no. 16 (2023): 2283. http://dx.doi.org/10.3390/nano13162283.

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Molybdenum disulfide (MoS2) is a layered transition metal-sulfur compound semiconductor that shows promising prospects for applications in optoelectronics and integrated circuits because of its low preparation cost, good stability and excellent physicochemical, biological and mechanical properties. MoS2 with high quality, large size and outstanding performance can be prepared via chemical vapor deposition (CVD). However, its preparation process is complex, and the area of MoS2 obtained is difficult to control. Machine learning (ML), as a powerful tool, has been widely applied in materials scie

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Yang, Yujie, Zhige Wang, Chunxiang Cao, et al. "Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods." Remote Sensing 16, no. 3 (2024): 467. http://dx.doi.org/10.3390/rs16030467.

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Long-term exposure to high concentrations of fine particles can cause irreversible damage to people’s health. Therefore, it is of extreme significance to conduct large-scale continuous spatial fine particulate matter (PM2.5) concentration prediction for air pollution prevention and control in China. The distribution of PM2.5 ground monitoring stations in China is uneven with a larger number of stations in southeastern China, while the number of ground monitoring sites is also insufficient for air quality control. Remote sensing technology can obtain information quickly and macroscopically. The

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Pen’kov, Nikita A., Oleg A. Sidorkin, Sergey Yu Zhachkin, and Anatoliy I. Zavrazhnov. "ENSURING QUALITATIVE-ACCURACY CHARACTERISTICS DURING RESTORING OF VEHICLE PARTS." Tekhnicheskiy servis mashin 3, no. 144 (2021): 116–21. http://dx.doi.org/10.22314/2618-8287-2021-59-3-116-121.

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One of the most common reasons for the failure of hydraulic drive systems for agricultural machinery is the working fluid leak in the contact points of the rubbing surfaces of hydraulic blocks. The application of composite coatings based on chromium on the contacting surfaces allows you to restore the defect in the shape of the part caused by wear, as well as reduce the friction coefficient at the contact points, which positively affects the wear resistance of the part. (Research purpose) The research purpose is in developing technologies for restoring parts of agricultural machinery with pred

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Islam, Md Faizul, Mohammad Nashir Uddin, Ashequl Alam Rana, and Mohammad Mainul Karim. "Development of a chemometric method for the analysis of Sudan III-IV dyes adulteration in chili powder using UV-visible spectroscopy data." Journal of Scientific and Innovative Research 7, no. 2 (2018): 30–35. http://dx.doi.org/10.31254/jsir.2018.7201.

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Chili powder is a globally traded commodity and one of the most important parts of regular diet of the people of Bangladesh. It is reported that chili power has been adulterated by Sudan III-IV dyes since 2003. A simple, fast and cost effective method for the identification of Sudan dyes (III and IV) present in chili powder was proposed here and the method was based on the characterization of UV-visible spectral data using artificial neural network (ANN). Artificial neural network (ANN) was developed for the simultaneous assay of chili powder adulterated with Sudan III-IV. 47 standard mixture

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Sun, Xiaoran, Jianhe Peng, Chunlin Zhang, and Sen Zheng. "Prediction of Sluice Seepage Based on Impact Factor Screening and the IKOA-BiGRU Model." Water 17, no. 13 (2025): 1850. https://doi.org/10.3390/w17131850.

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Sluices play a critical role in flood control, power generation, water supply, etc. With decades of service, sluice safety assurance becomes a structural engineering imperative. Previous investigations have revealed that failures of sluices are often associated with seepage damage. To gain further insight into sluice seepage and ensure the safety of sluice structures, proposing an effective prediction method for sluice seepage nevertheless remains a challenging fundamental and practical perspective. Therefore, in this paper, a novel prediction model for sluice seepage based on impact factor sc

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Xiao, Zhixian, Qinwei Fu, Xiaocui Long, et al. "Efficacy and safety of acupuncture for vocal nodules: A systematic review and meta-analysis with trial sequential analysis." PLOS ONE 18, no. 11 (2023): e0288252. http://dx.doi.org/10.1371/journal.pone.0288252.

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In this study, we aim to evaluate the efficacy and safety of acupuncture for vocal nodules, concerning qualitive overall efficacy and quantitative improvement on quality of voice. Four English and four Chinese databases were searched up to December 10th, 2022. Risk of bias among the included trials were evaluated by the Cochrane ROB tool. Systematic reviews and meta-analyses were conducted based on the Cochrane systematic review method by using RevMan 5.4 Software, and trial sequential analyses were performed by TSA 0.9. Meta-influence analyses, subgroup-analyses, meta-regression, and evaluati

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Gimadeev, M. R., A. V. Nikitenko, and V. O. Berkun. "Influence of the Sphero-Cylindrical Tool Orientation Angles on Roughness under Processing Complex-Profile Surfaces." Advanced Engineering Research (Rostov-on-Don) 23, no. 3 (2023): 231–40. http://dx.doi.org/10.23947/2687-1653-2023-23-3-231-240.

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Introduction. When milling complex-profile surfaces of parts, the selection of tool trajectories and orientations affect the roughness parameters. However, in the studies devoted to the formation of trajectories, recommendations to provide the quality of microgeometry of surfaces were not taken into account. Moreover, when writing programs for CNC equipment in CAM systems, the limitations of cutting modes were determined exclusively using a geometric approach. It did not take into account the influence of the orientation angles of the sphero-cylindrical tool relative to the normal plane on the

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Valera-Calero, Juan Antonio, Marcos José Navarro-Santana, Gustavo Plaza-Manzano, César Fernández-de-las-Peñas, and Ricardo Ortega-Santiago. "Identifying Demographic, Clinical, Muscular and Histological Factors Associated with Ultrasound Cervical Multifidus Measurement Errors in a Chronic Neck Pain Population." Sensors 22, no. 21 (2022): 8344. http://dx.doi.org/10.3390/s22218344.

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Ultrasound imaging (US) is a widely used imaging tool in physiotherapy for assessing muscle morphology and quality, among other purposes, such as ensuring the patients’ safety during invasive procedures or providing visual feedback during motor control exercises. Identifying factors associated with measurement errors is essential to target avoid bias in high-risk of bias populations. Therefore, this study aimed to assess whether demographic, clinical, muscular and histological factors are associated with ultrasound measurement errors in patients with idiopathic chronic neck pain. B-mode images

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Cheng, Minghui, Li Jiao, Pei Yan, et al. "A Novel Multi-Task Learning Model with PSAE Network for Simultaneous Estimation of Surface Quality and Tool Wear in Milling of Nickel-Based Superalloy Haynes 230." Sensors 22, no. 13 (2022): 4943. http://dx.doi.org/10.3390/s22134943.

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For data-driven intelligent manufacturing, many important in-process parameters should be estimated simultaneously to control the machining precision of the parts. However, as two of the most important in-process parameters, there is a lack of multi-task learning (MTL) model for simultaneous estimation of surface roughness and tool wear. To address the problem, a new MTL model with shared layers and two task-specific layers was proposed. A novel parallel-stacked auto-encoder (PSAE) network based on stacked denoising auto-encoder (SDAE) and stacked contractive auto-encoder (SCAE) was designed a

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Kalopesa, Eleni, Konstantinos Karyotis, Nikolaos Tziolas, Nikolaos Tsakiridis, Nikiforos Samarinas, and George Zalidis. "Estimation of Sugar Content in Wine Grapes via In Situ VNIR–SWIR Point Spectroscopy Using Explainable Artificial Intelligence Techniques." Sensors 23, no. 3 (2023): 1065. http://dx.doi.org/10.3390/s23031065.

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Spectroscopy is a widely used technique that can contribute to food quality assessment in a simple and inexpensive way. Especially in grape production, the visible and near infrared (VNIR) and the short-wave infrared (SWIR) regions are of great interest, and they may be utilized for both fruit monitoring and quality control at all stages of maturity. The aim of this work was the quantitative estimation of the wine grape ripeness, for four different grape varieties, by using a highly accurate contact probe spectrometer that covers the entire VNIR–SWIR spectrum (350–2500 nm). The four varieties

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Mogoa, Louiza, and Jeremiah Koori. "Shared Service Centers and Financial Performance of Panafrican Equipment Group in Kenya." International Journal of Current Aspects in Finance, Banking and Accounting 3, no. 2 (2021): 13–29. http://dx.doi.org/10.35942/ijcfa.v3i2.192.

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Modern firms have realised the need to take advantage of the opportunities in the emerging markets the concept of centralisation and co sharing of service providers gave rise to Shared Services (SS) and Shared Services Centres (SSC). However, little has been done in sub-Saharan Africa. This study sought to address this gap. For this reason, this study seeks to by determine the effects of shared service centres and financial performance of pan African equipment group in Kenya. The study specifically determined the effects of procurement shared services, finance shared services, inventory manage

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Mogoa, Louiza, and Jeremiah Koori. "Shared Service Centers and Financial Performance of Panafrican Equipment Group in Kenya." International Journal of Current Aspects in Finance, Banking and Accounting 3, no. 2 (2021): 13–29. http://dx.doi.org/10.35942/ijcfa.v3i2.192.

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Modern firms have realised the need to take advantage of the opportunities in the emerging markets the concept of centralisation and co sharing of service providers gave rise to Shared Services (SS) and Shared Services Centres (SSC). However, little has been done in sub-Saharan Africa. This study sought to address this gap. For this reason, this study seeks to by determine the effects of shared service centres and financial performance of pan African equipment group in Kenya. The study specifically determined the effects of procurement shared services, finance shared services, inventory manage

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Limpuangthip, Nareudee, Wacharasak Tumrasvin, and Chatwarin Sakultae. "Masticatory index for patients wearing dental prosthesis as alternative to conventional masticatory ability measures." PLOS ONE 17, no. 1 (2022): e0263048. http://dx.doi.org/10.1371/journal.pone.0263048.

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Objectives The study objectives were: 1) to develop a masticatory index for evaluating masticatory ability in patients wearing a dental prosthesis, including complete dentures (CD), removable partial denture (RPD), and fixed partial denture (FPD), 2) to test the reliability and validity of the index, and 3) to determine whether the index better reflected patients’ masticatory ability compared with conventional subjective and objective measures. Methods The present cross-sectional study consisted of 2 phases: 1) developing the Chulalongkorn University masticatory index (CUMI) consisting of 20 f

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Irles, Claudine, Gabriela González-Pérez, Sandra Carrera Muiños, et al. "Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors." International Journal of Environmental Research and Public Health 15, no. 11 (2018): 2509. http://dx.doi.org/10.3390/ijerph15112509.

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Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading causes of mortality in premature neonates; with major nutritional and neurodevelopmental sequelae. Since predicting which neonates will develop perforation is still challenging; clinicians might benefit considerably with an early diagnosis tool and the identification of critical factors. The aim of this study was to forecast IP related to NEC and to investigate the predictive quality of variables; based on a machine learning-based technique. The Back-propagation neural network was used to train an

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Ohle, R., S. McIsaac, and J. J. Perry. "LO32: A RAPID bedside approach to ruling out acute aortic dissection." CJEM 20, S1 (2018): S17—S18. http://dx.doi.org/10.1017/cem.2018.94.

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Introduction: Acute aortic dissection (AAD) is a rare but fatal condition where over-investigation and missed diagnosis are common. Our objectives were to derive a highly sensitive clinical risk score for AAD and perform pilot validation. Methods: We started with two independent systemic reviews to firstly identify clinical variables associated with AAD and secondly to determine reasons for missed diagnosis. We searched Medline, Embase and the Cochrane database (1968-July 2016). Two reviewers screened articles and extracted data. Agreement was measured by Kappa and study quality by the QUADAS-

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Zuo, Yamin, Jing Yang, Chen Li, Xuehua Deng, Shengsheng Zhang, and Qing Wu. "Near-Infrared Spectroscopy as a Process Analytical Technology Tool for Monitoring the Steaming Process of Gastrodiae rhizoma with Multiparameters and Chemometrics." Journal of Analytical Methods in Chemistry 2020 (November 4, 2020): 1–12. http://dx.doi.org/10.1155/2020/8847277.

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Steaming is a vital unit operation in traditional Chinese medicine (TCM), which greatly affects the active ingredients and the pharmacological efficacy of the products. Near-infrared (NIR) spectroscopy has already been widely used as a strong process analytical technology (PAT) tool. In this study, the potential usage of NIR spectroscopy to monitor the steaming process of Gastrodiae rhizoma was explored. About 10 lab scale batches were employed to construct quantitative models to determine four chemical ingredients and moisture change during the steaming process. Gastrodin, p-hydroxybenzyl alc

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Kaewprayoon, Waraporn, Nittiya Suwannasom, Chiraphat Kloypan, et al. "Determination of Methemoglobin in Hemoglobin Submicron Particles Using NMR Relaxometry." International Journal of Molecular Sciences 21, no. 23 (2020): 8978. http://dx.doi.org/10.3390/ijms21238978.

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Methemoglobin (MetHb) is a hemoglobin (Hb) derivative with the heme iron in ferric state (Fe3+), unable to deliver oxygen. Quantification of methemoglobin is a very important diagnostic parameter in hypoxia. Recently, novel hemoglobin microparticles (Hb-MP) with a narrow size distribution around 700 nm, consisting of cross-linked Hb were proposed as artificial oxygen carriers. The cross-linking of Hb by glutaraldehyde (GA) generates a certain amount of MetHb. Due to the strong light scattering, quantitative determination of MetHb in Hb-MP suspensions by common spectrophotometry is not possible

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Wu, Zihong, Bei Yin, Ziming Wang, Enfeng Song, and Fengming You. "Clinical Evidence and Potential Mechanisms in Treating Radiation Enteritis with Modified Baitouweng Decoction." Evidence-Based Complementary and Alternative Medicine 2023 (January 30, 2023): 1–27. http://dx.doi.org/10.1155/2023/9731315.

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Objectives. To perform a meta-analysis and network analysis identification to evaluate the efficacy, safety, and potential mechanisms of modified Baitouweng decoction (mBTWD) in the treatment of radiation enteritis. Methods. We searched PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang Databases, SionMed, and Chinese Scientific Journals Database to collect the randomized controlled trials (RCTs) of mBTWD treating radiation enteritis. Rev.Man 5.3 and Stata 14.0 software are employed for meta-analysis. The GRADE online tool is used to evaluate the quality of evidence. Network analy

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Monyenye, Vincent O., Benard Lango, Julius Miroga, and Charles K. Cheruiyot. "Project procurement process and performance of major dam projects in Kenya." Journal of Agriculture, Science and Technology 23, no. 2 (2024): 67–75. http://dx.doi.org/10.4314/jagst.v23i2.5.

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Effective major dam project procurement process in sourcing for quality construction materials and qualified professionals has huge positive effect on performance of major dams. In Kenya however, situation analysis reports on some major dam projects revealed low and questionable performance. The aim of this study was to examine the effect of project procurement process on performance of major dam projects in Kenya. The study utilized descriptive research design, with a sample size of 221 respondents comprising officials from ministries of water sanitation and irrigation and other government de

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Gerrie, Alina S., Siobhan White, Katherine L. Harvey, Ritu Gill, and Cynthia L. Toze. "Effect of Physical Activity (PA) Interventions On Health-Related Quality of Life (HRQoL) Post Hematopoietic Stem Cell Transplantation (HSCT): A Systematic Review and Meta-Analysis." Blood 120, no. 21 (2012): 1968. http://dx.doi.org/10.1182/blood.v120.21.1968.1968.

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Abstract Abstract 1968 Background: Recent advances in HSCT have resulted in improved overall and relapse-free survival and decreased incidence of serious complications. Improved survival has prompted an increased focus on enhancing HRQoL. There is an accumulating body of evidence emphasizing that physical activity (PA) may be one modifiable lifestyle factor associated with decreased negative side effects related to HSCT and improved HRQoL. We sought to summarize the available evidence related to the effects of PA participation and HRQoL in HSCT recipients. Methods: We searched electronic datab

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Lázaro Plata, J. L., and C. S. Sánchez Rincón. "Representation of gas metal arc pulsed welding process behavior on bead geometry: a study of leading variables." Journal of Physics: Conference Series 2139, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/2139/1/012008.

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Abstract Gas metal arc welding is one of the most influential processes in the production and repair of structures and equipment; therefore, the need to improve the productivity and quality of welded joints has led to the development of techniques for good control of welding parameters. Also, the development of semi-automatic welding processes led to the control of one of the variables such as pulsed current; this technique is characterized by a lower heat input and lower energy expenditure, which directly influences the structural quality of the welded joint and the geometry of the weld bead.

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Hoffman, Louwrens C., Shuxin Zhang, Shanmugam Alagappan, Volant Wills, Olympia Yarger, and Daniel Cozzolino. "Monitoring Compositional Changes in Black Soldier Fly Larvae (BSFL) Sourced from Different Waste Stream Diets Using Attenuated Total Reflectance Mid Infrared Spectroscopy and Chemometrics." Molecules 27, no. 21 (2022): 7500. http://dx.doi.org/10.3390/molecules27217500.

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Black soldier fly (Hermetia illucens, L.) larvae are characterized by their ability to convert a variety of organic matter from food waste into a sustainable source of food (e.g., protein). This study aimed to evaluate the use of attenuated total reflectance (ATR) mid-infrared (MIR) spectroscopy to monitor changes in the composition as well as to classify black soldier fly larvae (BSFL) samples collected from two growth stages (fifth and sixth instar) and two waste stream diets (bread and vegetables, soy waste). The BSFL samples were fed on either a soy or bread-vegetable mix waste in a contro

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Ekanayake, Chanil Deshan, Arunasalam Pathmeswaran, Sakshara Ranasinghe, Amritha Sridaran, Yeshmitha Madanayake, and Samurdika Nishamalee. "C-index: A novel method to assess surgical morbidity in obstetric and gynecological surgery: A retrospective study." Journal of Clinical Sciences 22, no. 1 (2025): 18–26. https://doi.org/10.4103/jcls.jcls_64_24.

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Abstract Background: There is a need to develop a method of assessing the outcomes of surgery that is as accurate as studying complications, more objective than patient-reported outcome measures and easier than cost-effective analysis. The C-index is proposed to assess the surgical outcomes instead of studying complications which require large sample sizes. Methods: A retrospective case series study included all patients who underwent major surgery in obstetrics and gynecology at a university hospital. The C-index was calculated as; C-index = (sum of intensive care unit [ICU] stay – sum of ICU

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Chen, Yuting, Zhun Cheng, and Yu Qian. "Research on Wet Clutch Switching Quality in the Shifting Stage of an Agricultural Tractor Transmission System." Agriculture 12, no. 8 (2022): 1174. http://dx.doi.org/10.3390/agriculture12081174.

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In order to improve the working quality of wet clutch switching in an agricultural tractor, in this paper, we took a power shift system composed of multiple wet clutches as the research object for full-factorial performance measurement, multi-factor analysis of the degree of influence, establishment of a single evaluation index model, formation of a comprehensive evaluation index, and formulation of adjustable factor control strategies. We studied the simulation test platform of an agricultural tractor power transmission system based on the SimulationX software and obtained 225 sets of sample

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