Deep learning–based assessment of missense variants in the COG4 gene presented with bilateral congenital cataract by Shaohua Zhang, Yang Sun, Yinghong Ji, Li Ning, Binghe Xiao, Maierdanjiang Ainiwaer, Houyi Liu, Yingying Hong

“…Different pathogenicity metrics were aggregated with principal component analysis (PCA) and further analysed at three levels (amino acid position, substitution and post-translation) based on all possible Cog4 missense variants (n=14 915).Results Localised protein structural impact including change of conformation and amino acid polarity, breakage of hydrogen bond and salt-bridge, and formation of alpha-helix were identified among clinically relevant Cog4 variants. …”
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Assessing validity and reliability of the Transition Shock Scale for Undergraduate Nursing Students (TSS, Chinese version) in associate degree nursing students by Huiting Weng, Ziwei Ding, Li Yang, Bo Zhang, Yuanyuan Luo, Qin Wang

“…Exploratory factor analysis was performed by orthogonal rotation of the data using principal component analysis and maximum variance, and three common factors with eigenroots greater than 1.0 were extracted, with a cumulative variance contribution of 61.095%. …”
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Dimensional structure of the Brief Illness Perception Questionnaire and Association with adverse childhood experiences in patients with an implantable cardioverter-defibrillator by Marc Dörner, Roland von Känel, Aju P. Pazhenkottil, Rahel Altwegg, Noelle König, Ladina Nager, Veronica Attanasio, Lisa Guth, Sina Zirngast, Anna Menzi, Claudia Zuccarella-Hackl, Mary Princip

“…We conducted a principal component analysis to determine the dimensional structure of the BIPQ. …”
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Surrogate-based model parameter optimization in simulations of the West African monsoon by M. Fischer, P. Knippertz, C. Proppe

“…The problem is approached in two distinct ways: (1) optimization of 15 designated QoIs, such as the latitude and magnitude of the African rain belt or African easterly jet, using existing surrogate models and (2) optimization of twelve 2D meteorological output fields, such as precipitation, cloud cover, and pressure, using new surrogate models that employ principal component analysis. The objectives subject to minimization in the MOO process are defined as the difference between the surrogate model and reference data for each QoI or output field. …”
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Distribution of Tunisian beet wild relatives (Beta sp.) according to morphological characteristics and eco-geographical origin by Kaouther Ben Mahmoud, Najla Mezghani, Youssef Ouakrim, Neila Mezghani, Noura Jemai, Ahmed Jemmali

“…Variance component analysis of the quantitative data showed an important spectrum of variability, both within and between populations. The principal component analysis (PCA) allocated this wild Beta collection into three groups. …”
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Unveiling the Texture Secrets of <i>Morchella</i> Germplasm: Advanced Grading and Quality Assessment Through Texture Profile Analysis (TPA) by Jialiang Li, Ying Chen, Xuelian Cao, Jie Tang, Liyuan Xie, Lixu Liu, Yan Wan, Rongping Hu

“…Furthermore, the coefficient of variation for the characteristics of <i>Morchella sextalata</i> was higher than those of other species. Principal component analysis simplified the texture evaluation indices of <i>Morchella</i> pileus into a palatable factor and cohesive factor, and arranged the texture evaluation indexes of <i>Morchella</i> stipe into toughness–hardness factor and cohesive factor. …”
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Serum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy by Jolanta Smok-Kalwat, Stanisław Góźdź, Paweł Macek, Zuzanna Kalwat, Maryna Khalavka, Wioletta Rzad, Andrzej Stepulak, Joanna Depciuch

“…Higher absorbances values of PO2−, CH2, CH3 and amides vibrations in FTIR spectra of both serum and plasma samples, collected from lung cancer patients were observed in comparison to individuals without lung cancer symptoms (controls). Principal component analysis (PCA) of FTIR spectra showed plasma and serum samples collected from lung cancer patients and individuals without lung cancer symptoms were better differentiated in fingerprinting region (from 800 to 1800 cm− 1) when compared to lipid region (2800–3000 cm− 1). …”
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The stability of soil aggregates in sweet cherry (Prunus avium L.) orchards of different ages and varieties by Muhao Chen, Shu Feng, Jun Wang, Mingyu Gao, Min Liu, Kaibo Wang, Zhou-ping Shangguan, Yongwang Zhang

“…The stability of soil aggregates was found to be affected by sweet cherry cultivation, with changes observed in the content of SOC and TN in the surface soil. Principal component analysis indicated that soil quality deteriorated increasingly with ages, while pass-through analysis demonstrated that ages and soil aggregate stability were key factors influencing soil quality. …”
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Burden of caregivers of older people in Sri Lanka: an overlooked concern in the health care system by Nirmala Rathnayake, Wedura Kannangara, Thilina Abeygunasekara, Warsha De Zoysa, Dhammika Palangasinghe, Sarath Lekamwasam

“…The test-retest reliability, assessed using the intra-class correlation coefficient, was 0.99 (95% CI: 0.99-1.00; p < 0.001). Principal component analysis revealed two factors explaining 65.8% of the cumulative variance. …”
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Biomass and Yield in Solanum lycopersicum Expressing a Synthetic Photorespiration Pathway by Laura Dougherty, Bret Cooper, James Bunce, Bryan Vinyard, John Stommel

“…Metabolic profiles obtained from high-performance liquid chromatography mass spectrometry (HPLC-MS) analysis revealed increases in forms of inactivated auxin. Principal component analysis of metabolite profiles separated transformants into two groups distinguished by total biomass and fruit size. …”
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Integrated nitrogen nutrition with vermicompost and storage duration affect grain quality characters of aromatic rice under subtropical condition by Mohammad Rezaul Manir, Uttam Kumer Sarker, Sinthia Afsana Kheya, Md. Towkir Ahmed, Nilufa Ferdous, Md. Salahuddin Kaysar, Md. Abdus Salam, Md. Parvez Anwar, Uzzal Somaddar, Abeer Hashem, Alanoud Alfagham, Elsayed Fathi Abd_Allah, Md. Romij Uddin

“…The application of 70% of RD of N from urea + 30% of RD of nitrogen from vermicompost with BRRI dhan37 at 12-month SD resulted in the maximum milling (73.96%) and head rice outturn (70.44%). Principal component analysis revealed that the variety BRRI dhan37 showed best performance compared to other varieties. …”
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Plasma Metabolite Profiles of Healthy Volunteers after Administration of a Thai Herbal Formula for Dizziness by Ranida Boonrak, Kajee Pilakasiri, Suksalin Boonranasubkajorn, Natchagorn Lumlerdkij, Pravit Akarasereenont

“…These participants were randomized into three groups: YHF20 (n=30), Lorazepam (n=30), and Placebo (n=30). Principal Component Analysis (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) were then conducted to identify differential metabolites and pathways. …”
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Comparison of Essential Oils of Houttuynia cordata Thunb. from Different Processing Methods and Harvest Seasons Based on GC-MS and Chemometric Analysis by Xue Pan, Haiying Li, Dingfang Chen, Jinjin Zheng, Longhua Yin, Juan Zou, Yalun Zhang, Kaiwen Deng, Meifeng Xiao, Lei Meng, Fuyuan He

“…Moreover, hierarchical cluster analysis (HCA) and principal component analysis (PCA) successfully distinguished the chemical constituents of DHC and FHC oils. …”
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Chemical Composition of Oils and Fats from Madagascar Cockroach (G. portentosa), Giant Cockroach (B. giganteus), and Mealworm (T. molitor) by João Víctor de Andrade dos Santos, Thiago Luis Aguayo de Castro, Claudia Andrea Lima Cardoso, Kelly Mari Pires de Oliveira, Ramon Santos de Minas, Samara de Almeida Oliveira, Gabriela dos Santos Talevi, Meline Neves Pinheiro, Marilene Rodrigues Chang, Daniele Cristina Vitorelli Venancio, Geilson Rodrigues da Silva, Angela Kwiatkowski

“…The oils from G. portentosa and B. giganteus also contained C18:1, C18:2w6, and C16:0. Principal component analysis distinguished T. molitor oil by its C15:0 and C23:0 content. …”
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Intelligent Electrochemical Sensing: A New Frontier in On-the-Fly Coffee Quality Assessment by Simone Grasso, Maria Vittoria Di Loreto, Alessandro Zompanti, Davide Ciarrocchi, Laura De Gara, Giorgio Pennazza, Luca Vollero, Marco Santonico

“…The results obtained from Principal Component Analysis (PCA) and Partial Least Square Discriminant Analysis (PLS-DA) show the sensor’s capability to distinguish between samples of different quality, with a percentage of correct classification of 86.6%. …”
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Targeting necroptosis in MCF-7 breast cancer cells: In Silico insights into 8,12-dimethoxysanguinarine from Eomecon Chionantha through molecular docking, dynamics, DFT, and MEP stu... by Maram B Alhawarri, Mohammad G Al-Thiabat, Amit Dubey, Aisha Tufail, Katreen Banisalman, Ghazi A Al Jabal, Eman Alkasasbeh, Esra'a Ibrahim Al-Trad, Bilal Harieth Alrimawi

“…Notably, SG-A maintains two critical H-bonds within the active site of MLKL, reinforcing the stability of the interaction. Principal component analysis (PCA) indicated a significant reduction in MLKL's conformational space upon SG-A binding, implying enhanced stabilization. …”
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Spatial Distribution of Genetic, Ploidy, and Morphological Variation of the Edaphic Steno-Endemic <i>Alyssum moellendorfianum</i> (Brassicaceae) from the Western Balkans by Jasna Hanjalić Kurtović, Belma Kalamujić Stroil, Sonja Siljak-Yakovlev, Naris Pojskić, Adaleta Durmić-Pašić, Alma Hajrudinović-Bogunić, Lejla Lasić, Lejla Ušanović, Faruk Bogunić

“…Morphometric analysis via principal component analysis (PCA) and canonical discriminant analysis (CDA) did not reveal any divergence between diploid and tetraploid cytotypes. …”
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Ion Chromatography Based Urine Amino Acid Profiling Applied for Diagnosis of Gastric Cancer by Jing Fan, Jing Hong, Jun-Duo Hu, Jin-Lian Chen

“…A diagnostic model was constructed to discriminate gastric cancer from healthy individuals and another diagnostic model for clinical staging by principal component analysis. Differentiation performance was validated by the area under the curve (AUC) of receiver-operating characteristic (ROC) curves. …”
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Trends in <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i> Urinary Tract Infections and Antibiotic Resistance over a 5-Year Period in Southeastern Gabon by Yann Mouanga-Ndzime, Cyrille Bisseye, Neil-Michel Longo-Pendy, Michelle Bignoumba, Anicet-Clotaire Dikoumba, Richard Onanga

“…The resistance of <i>Escherichia coli</i> isolated from cystitis to nitrofurantoin showed a significant increase over the years (<i>p</i> < 0.04). Principal component analysis (PCA) suggested that humidity may play a role in the emergence of multidrug-resistant strains of <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i>. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals&#x2019; Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…The proposed approach was tested on intracranial EEG data recorded in rats with pilocarpine model of temporal lobe epilepsy. A principal component analysis was applied for feature selection before using a support vector machine for the detection of seizures. …”
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