Environmental Impact Assessment of Taza City’s Wastewater: Application through Principal Component Analysis by Ibrahim Touzani, Mohammed Machkor, Otmane Boudouch, Imane El Machrafi, Rachid Flouchi, Kawtar Fikri-Benbrahim

“…The use of principal component analysis (PCA) has allowed us to collect as much information as possible from the database of the physicochemical analyses performed for the studied parameters.…”
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Pattern Recognition in Agricultural Soils Using Principal Component Analysis and Interdigitated Microwave Sensors by Carlos Roberto Santillan-Rodríguez, Renee Joselin Sáenz-Hernández, José Matutes-Aquino, Jesús Salvador Uribe-Chavira, Cristina Grijalva-Castillo, Eutiquio Barrientos-Juárez, José Trinidad Elizalde-Galindo

“…Pattern recognition in agricultural soils using interdigitated microwave sensors combined with principal component analysis offers a novel approach to soil characterization. …”
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Genetic variability and principal component analysis in durum wheat germplasm for terminal drought stress by VIJETH G M, GOVINDAREDDY UDAY, GOPALAREDDY KRISHNAPPA, SHASHIDHAR N

“…In this analysis, a total of 11 distinct components were identified, with the first four accounting for approximately 60 per cent of the variation under moisture stress conditions. …”
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Gender differences in dietary patterns and physical activity: an insight with principal component analysis (PCA) by Alessandra Feraco, Stefania Gorini, Elisabetta Camajani, Tiziana Filardi, Sercan Karav, Edda Cava, Rocky Strollo, Elvira Padua, Massimiliano Caprio, Andrea Armani, Mauro Lombardo

“…Data on eating habits, physical activity and body composition were collected by means of questionnaires and bioimpedance analysis. …”
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A dataset of three vine water status indicators, weather records and soil available water capacity components collected from a rain-fed Mediterranean vineyardZenodo by Yulin Zhang, Léo Pichon, Bruno Tisseyre

“…In contrast, iG-Apex can be collected with minimal time and financial investment. …”
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Analysis of Window Components Affecting U-Value Using Thermal Transmittance Test Results and Multiple Linear Regression Analysis by Sang-Tae No, Jun-Sik Seo

“…The purpose of this study is to develop a convenient method of predicting U-value at the window system design stage by multiple linear regression analysis. 532 U-value test results were collected, and window system components were set as independent values. …”
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Usage of Principal Component Analysis in the Spatial Distribution of Mangrove Vegetation in North Coast of Pemalang by Erny Poedjirahajoe, Djoko Marsono, Frita Kusuma Wardhani

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The Analysis of Components of Brand Bravery in Customers of Sports Products (Case Study: Majid Brand) by Bahador Azizi, Ahmad Mahmoudi, Ali Ghaebi Dastjerdi, Nafise Mobaraki

“…In order to confirm the validity of the instrument, exploratory and confirmatory factor analysis was used. Results: Based on the results, it was found that the average score of brand bravery and all its components indicate a favorable situation, so that their average score was more than 3. …”
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TAXONOMICAL IMPLICATIONS OF NATURAL COMPONENTS IN DELIMITATION OF SOME SPECIES OF ASTERACEAE FAMILY IN BAGHDAD by Rasha A. Al- Souz, H. R. H. Al-Newani

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Diagnostic accuracy of milk components for pregnancy diagnosis in mid and late lactation cows by Ufuk Kaya, Murat Onur Yazlık, Hüseyin Özkan, Baran Çamdeviren, Güven Güngör, Sevda Dalkıran, Hasan Hüseyin Keçeli, İrem Karaaslan, Akın Yakan, Aytaç Akçay

“…In the present study, primiparous Holstein cows (n=133) were included in the mid and late lactation. Milk samples were collected in sterile tubes for SCC and milk components analysis. …”
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Geochemical evaluation for the fumarolic gases collected at Ojigokudani, Iwate volcano, Japan in September 2024 by Muga Yaguchi, Takeshi Ohba, Shun Kanno

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Aroma compositions and comparison of their related components of Longjing tea with different aroma types by ZHOU Senjie, HUANG Chuangsheng, LI Chunlin, GONG Shuying, GUO Haowei, TONG Yilin, FAN Fangyuan

“…The results of principal component analysis (PCA) based on main aroma components showed that: 1) The contents of styrene, cetane, 3-methoxy-1, 2-propanediol were significantly and positively correlated with the tender aroma of Longjing tea; 2) the contents of (E)-β-farnesene, trans-4-tert-butylcyclohexanol and methyl jasmonate were significantly and positively correlated with the clean and refreshing aroma of Longjing tea; 3) the relative contents of phenylacetonitrile, acetophenone, 1, 3-cyclohexadiene-2, 2, 6-trimethyl-benzaldehyde were higher in Longjing tea with approaching high aroma. …”
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ENVIRONMENTAL IMPACT ANALYSIS OF QUARRYING ACTIVITIES IN SUNGAI DUKU, PADANG PARIAMAN, IN TERMS OF BIOLOGICAL COMPONENTS by Farhanah Shofwah Verina, Vauzia Vauzia, Khairunisa Khairunisa, Ardelia Febriana

“…A qualitative descriptive analysis method was employed, with data collected through observation, documentation, and interviews conducted at the study site. …”
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Research on Rehabilitation Training Based on Principal Component Analysis of Three Dimensional Motion Data of Taijiquan by Xiang LI, Jian WANG, Tianjiao LI, Xiangbin WANG

“…Objective:In order to improve the effectiveness of rehabilitation training, using the principal component analysis method to study movement characteristics of TAI CHI action.Methods:The subjects played Taijiquan "YUNSHOU" action of YANG style, meanwhile, the three dimensional motion capture system (Motion Analysis) were used for data acquisition, collected motion data of elbow, shoulder, head and body cadres, and then analyzed the data by principal component analysis method.Results:The obtained data were statistically analyzed, which showed that the selected joints motion data were correlated (<italic>P</italic>&lt;0.01), head rotation angle and torso rotation angle existed significant correlation (correlation coefficient is 0.993, <italic>P</italic>&lt;0.01), head rotation angle and shoulder flexion angle were correlated (<italic>P</italic>&lt;0.01), shoulder flexion angle and elbow flexion angle were correlated (<italic>P</italic>&lt;0.01); principal component analysis results showed that when the trunk rotation angle was taken as variables, elbow flexion angle, shoulder flexion angle, head rotation angle were considered as independent variables, all the joints were involved in completing the hand movements (<italic>P</italic>&lt;0.01).Conclusion:Taijiquan "YUNSHOU" movements can be divided into two main components, the main motion components can be decomposed in the rehabilitation training were conducted, and then whole motion integration training were conducted, it will speed up motor learning process during rehabilitation period, improve coordination of action, thus achieving the purpose of fast and efficient recovery.…”
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Principal Component Analysis of Growth, Leaf and Biomass Traits of Indian Willow (Salix tetrasperma Roxb.) by J. P. Sharma, H. P. Sankhyan, R.K. Gupta, S. K. Jha, Shikha Bhakta

“…Based on the principal component analysis, five components explained 82.85% of the total variance. …”
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Analysis of the major carbon and nitrogen metabolic components in rice internodes based on near-infrared spectroscopy by XU Hongfa, LIU Zhenghui, ZHANG Hongmei, CHENG Wangda

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A principal component analysis of regulatory environment features for sustainable building construction in South Africa by Chijioke Emere, Clinton Aigbavboa, Didibhuku Thwala

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Selective Gene Expression Analysis of Muscular and Vascular Components in Hearts Using Laser Microdissection Method by Ayami Ikeda, Hisashi Kai, Hidemi Kajimoto, Suguru Yasuoka, Masayoshi Kage, Tsutomu Imaizumi

“…The LMD method enabled us to separately collect the muscular and vascular samples from myocardial sections and to selectively evaluate mRNA expressions of the individual tissue component.…”
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Characterization of the Lateral Distribution of Fluorescent Lipid in Binary-Constituent Lipid Monolayers by Principal Component Analysis by István P. Sugár, Xiuhong Zhai, Ivan A. Boldyrev, Julian G. Molotkovsky, Howard L. Brockman, Rhoderick E. Brown

“…The emission spectra reflect BODIPY-labeled lipid surface concentration and lateral mixing with different nonfluorescent lipid species. Using principal component analysis (PCA) each spectrum could be approximated as the linear combination of only two principal vectors. …”
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Study the Relationship between the University Student and Teacher using the Principal Component Analysis and Genetic Algorithms by Sahar Mahmood

“…The process of the interpreting these variables become complex process, so reducing these variables to a smaller is easier to deal with which is the aspiration of every researcher working in the field of principal component analysis. In this research, a multivariate data collection process was carried out which are relates to the nature of education and the relationship between the university student and the teacher, then studying and analyzing by Principal component analysis model, which is a technique used to summarize and condense data through the use of bonding software SPSS,2020. …”
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