Research on the quality deterioration of UHT milk products during shelf life: core microorganisms and related characteristics by Ruixue Ding, Kairu He, Rina Wu, Mengxue Lou, Zhili Liu, Yuqiong Piao, Xiaoyan Liu, Zhishen Mu, Junrui Wu

“…Moreover, principal component analysis (PCA) and multivariate analyses were used to examine the quality characteristics, including 11 physicochemical parameters, 10 fatty acids, and 2 enzyme activities, in normal and quality deteriorated UHT milk. …”
Get full text

The impact of refuges on Citrus orchards associated with arthropods in different agroecosystem in Malang, Indonesia by Yunita Fera Rahmawati, Amin Setyo Leksono, Zulfaidah Penata Gama, Akhmad Rizali

“…Pearson and Principal Component Analysis (PCA) tests examined the relationship between arthropod species and the environment. …”
Get full text

Women's economic empowerment in sub-Saharan Africa: Evidence from cross-national population data by Eunice Williams, Sabu S. Padmadas, Heini Vaisanen

“…<b>Methods</b>: Using recent DHS data in 33 countries, we apply principal component analysis to generate a WEE score based on 9 indicators in order to better understand the contributors underlying this score and derive country typologies. …”
Get full text

Effect of Pretreatment and High Hydrostatic Pressure on Soluble Dietary Fiber in Lotus Root Residues by Yanyang Gu, Liying Niu, Jiangfeng Song, Chunju Liu, Zhongyuan Zhang, Chunquan Liu, Dajing Li, Lixia Xiao

“…In addition, properties of SDF extract from FLRR + W changed most significantly, including not only the enhancement of SDF yield, the improvement of hydration properties, and the reduction of molecular weight but also the increase of thermal and rheological stability. Principal component analysis (PCA) profile illustrated that the difference of LRR-water system contributed 27.6% to the SDF physicochemical changes, and SDF from DLRR + W distinguished it from the other samples with mannose, ribose, and glucuronic acid, indicating that the drying procedure also played a role in the HHP treatment focusing on the sugar constitution. …”
Get full text

Diversité taxonomique des Hominidés fossiles en Asie : de nouvelles méthodes pour une vieille question by Stéphane Bouée, Florent Détroit

“…Landmarks were registered by Generalized Procruste Analysis.We used a  logical and objective method with  three steps. 1) The  taxa variabilities were explored by using several distance  indices  (variance, Euclidean and Manhattan distances). 2) We have  chosen not  to arbitrarily group  fossils  in established taxonomic categories: Principal component analysis (PCA) and hierarchical classification methods (UPGMA and NJ) were applied  to  identify subgroups  for each of  the  four  taxa. …”
Get full text

Kadozan Chitosan Formulation Enhances Postharvest Quality of Fresh Indian Jujube Fruit by Lian Chen, Yixiong Lin, Hui Li, Qingqing Liu, Yihui Chen

“…Furthermore, Kadozan-treated fruit showed higher vitamin C, total sugar, titratable acid, total soluble solids, chlorophyll, and carotenoid contents, <i>L</i>* and <i>h</i>° values, but lower <i>a</i>* and <i>b</i>* values. Principal component analysis and comprehensive score revealed that Kadozan treatment helped preserve the appearance and nutritional qualities of Indian jujube fruit. …”
Get full text

FOTODEGRADAÇÃO NO CLIMA SEMIÁRIDO EM FILMES DE POLI(BUTILENO ADIPATO-CO-TEREFTALATO) PUROS E ADITIVADOS COM ÓLEO ESSENCIAL DE CRAVO DA ÍNDIA (Syzygium aromaticum (L.) Merr.) by Karlos D. E. da Silva, Gabriel B. de L. Vitorino, Chaianne K. da S. Nascimento, Carlos A. de Souza, Amanda C. de O. D. Barros, Ivo D. de L. Silva, Glória M. Vinhas, José F. Q. Pereira, Andréa M. S. S. Brito

“…A decreasing trend was observed for the carbonyl index and a slight increase in the hydroxyl index. Principal component analysis revealed a distinction of samples exposed for more than 60 days. …”
Get full text

Antioxidative Activity and Volatile Profiles of Maillard Reaction Products between Giant Salamander (Andrias davidianus) Peptides and Glucose during the Heating Process by Wenqian Wang, Shibo Zhao, Jinjin Pei, Pengfei Jiang, Wengang Jin, Ruichang Gao

“…At different stages of the reaction, the MRPs were dominated by aldehydes, and the relative amount of aldehydes first decreased and then increased with the intensification of the reaction time; the relative content of esters increased first and then decreased; the relative content of alcohols decreased gradually; and the relative amount of pyrazine and furan exhibited a significant increasing tendency. Principal component analysis (PCA) revealed that the cumulative contribution rate of the first two components reached 87.3%, indicating that the volatile compounds of MRPs at different reaction times were well differentiated. …”
Get full text

Vermicompost quality and earthworm reproduction in different organic waste substrates by Saeed Mohammad Alipour, Ebrahim Fataei, Fatemeh Nasehi, Ali Akbar Imani

“…Purpose The present study aims to evaluate the changes in parameters affecting the quality of vermicompost produced by the earthworm 'Eisenia fetida' on different organic waste substrates using multivariate analysis, variance analysis, factor analysis and principal component analysis (PCA).Method A completely randomized design experiment was conducted with a 2 × 8 factorial arrangement of experimental and control treatments in triplicate per treatment. …”
Get full text

Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint by Thomas O. S. Akowuah, Ernest Teye, Julius Hagan, Kwasi Nyandey

“…The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) was used to determine the marked date of lay. …”
Get full text

The Use of Multiple Correspondence Analysis to Explore Associations between Categories of Qualitative Variables in Healthy Ageing by Patrício Soares Costa, Nadine Correia Santos, Pedro Cunha, Jorge Cotter, Nuno Sousa

“…The main focus of this study was to illustrate the applicability of multiple correspondence analysis (MCA) in detecting and representing underlying structures in large datasets used to investigate cognitive ageing. Principal component analysis (PCA) was used to obtain main cognitive dimensions, and MCA was used to detect and explore relationships between cognitive, clinical, physical, and lifestyle variables. …”
Get full text

Label-Free Detection of Human Serum Using Surface-Enhanced Raman Spectroscopy Based on Highly Branched Gold Nanoparticle Substrates for Discrimination of Non-Small Cell Lung Cancer by Xiaowei Cao, Zhenyu Wang, Liyan Bi, Jie Zheng

“…SERS spectra were analyzed by principal component analysis (PCA), which was able to distinguish different types of NSCLC. …”
Get full text

Assessment of gold mineralization potential in the Tanzania Craton based on stream sediment geochemistry multivariate analysis and regression modeling by Mahamuda Abu, John Desderius Kalimenze, Benatus Norbert Mvile, Samuel Nunoo

“…The study leverages stream sediment geochemical results to identify the elemental associations and pathfinder elements using multivariate statistics (Principal component analysis), multilinear regression modeling, and spatial distribution of Au and the pathfinder elements within the study area. …”
Get full text

Validation of the short form Compulsive Internet Use Scale in Students by Hassan Mahmoudian, abbas taghizade, Samira Golmirzaie

“…The results of the exploratory factor analysis using principal component analysis extracted five factors, labeled as loss of control, preoccupation, conflict, coping, and withdrawal symptoms, which accounted for 52.139% of the total variance. …”
Get full text

Machine Learning-Integrated Usability Evaluation and Monitoring of Human Activities for Individuals With Special Needs During Hajj and Umrah by Ghadah Naif Alwakid

“…Using the K-Means algorithm and the Elbow Method as the initial indicators to classify the clusters, we reveal four clusters that relate to different human activities that are further visualized through principal component analysis (PCA). Activities are clustered based on the behavioral patterns observed among participants, followed by the performance of anomaly detection. …”
Get full text

The Filtering of the Posturographic Signals Shows the Age Related Features by Krzysztof Piotr Michalak, Anna Przekoracka-Krawczyk, Paweł Nawrot, Piotr Woźniak, Peter Vieregge

“…Mutual dependence between the x and y components of posturographic signals was analyzed using principal component analysis (PCA). The posturographic signals of old patients with idiopathic gait disturbance were compared with the control group of similar age and with younger patients. …”
Get full text

Growth and Comprehensive Quality Index of Tomato under Rain Shelters in Response to Different Irrigation and Drainage Treatments by Guang-cheng Shao, Ming-hui Wang, Na Liu, Min Yuan, Prem Kumar, Dong-Li She

“…In both years, the drought treatment at 60 cm buried underground pipe depths proved to possess the highest comprehensive quality index based on Principal Component Analysis.…”
Get full text

Development of rapid evaluation scale for pericardiectomy of tuberculous constrictive pericarditis by 12-lead electrocardiogram by Yanhong Ren, Yanshu Dong, Xinyue Fan, Hongrui Xu, Shuangyi Yin

“…Three factors with feature roots greater than 1.0 were extracted by principal component analysis and maximum variance orthogonal rotation, and the cumulative contribution rate was 57.77%. …”
Get full text

Relation of Tea Ingestion to Salivary Redox and Flow Rate in Healthy Subjects by Pik Han Chong, Qiaojuan He, Suyun Zhang, Jianwu Zhou, Pingfan Rao, Min Zhang, Lijing Ke

“…The chemical compositions and antioxidant capacity of tea samples were analyzed to correlate with salivary parameters. Principal component analysis indicated that the effects of vine tea consumption were dominated by increasing salivary flow rate (SFR), production rate of total protein (TPC), thiol (SH), malondialdehyde, catalase activity and antioxidant capacity (FRAP) in saliva. …”
Get full text

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

“…This study proposes a novel multiclass classification approach called Gradient Boosting Machine with Feature Engineering (GBM-wFE) and Principal Component Analysis (PCA) as the feature selection. …”
Get full text