Qifuyin alleviates anxiety and depression in 3×Tg-AD mice by modulating neuroendocrine function by Tianhao Yu, Ying Yu, Junqi Zhao, He Li, Hui Lu, Yangyi Li, Yuqi Peng, Shixue Wang, Wendi Wei, Xiaorui Cheng

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Evaluation and comparison of drought tolerance in some wild diploid populations, tetraploid and hexaploid cultivars of wheat using stress tolerance indices by Sara KHOSRAVI, Reza AZIZINEZHAD, Amin BAGHIZADEH, Mahmood MALEKI

“…Principal components analysis exhibited that the 83 % of first principal component and the 15 % of second one justified the variation of the initial data. …”
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Synergy-Based Evaluation of Hand Motor Function in Object Handling Using Virtual and Mixed Realities by Yuhei Sorimachi, Hiroki Akaida, Kyo Kutsuzawa, Dai Owaki, Mitsuhiro Hayashibe

“…Spatial synergies were extracted using principal component analysis (PCA) and Varimax rotation, providing insights into finger motor coordination with the sparse decomposition. …”
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Mature murine supraspinatus tendons demonstrate regional differences in multiscale structure, function and gene expression. by Michael S DiStefano, Stephanie N Weiss, Courtney A Nuss, Rebecca L Betts, Biao Han, Andrew F Kuntz, Louis J Soslowsky

“…Gene expression analysis identified several genes that were differentially expressed between regions, with principal component analysis revealing distinct clustering based on region. …”
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Hermetia illucens Protein Conjugated with Glucose via Maillard Reaction: Antioxidant and Techno-Functional Properties by Vusi Vincent Mshayisa, Jessy Van Wyk

“…Principal component analysis was applied to browning and antioxidant indices. …”
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Assessing the Influences of Leaf Functional Traits on Plant Performances Under Dust Deposition and Microplastic Retention by Mamun Mandal, Anamika Roy, Shubhankar Ghosh, Achinta Mondal, Arkadiusz Przybysz, Robert Popek, Totan Ghosh, Sandeep Kumar Dash, Ganesh Kumar Agrawal, Randeep Rakwal, Abhijit Sarkar

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Potential of Carob Pulp Powder: Influence of Cultivar on Nutritional Composition, Antioxidant Activity, and Functional Properties by Carme Garau, Mónica Umaña, Miquel Llompart, Ismael Velázquez, Isabel Gálvez, Susana Simal

“…Principal component analysis distinguished the Ibiza cultivars by higher soluble solids, fructose, and stearic acid content but lower antioxidant activity. …”
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Power System Transient Stability Assessment Based on Intelligent Enhanced Transient Energy Function Method by Tianxiao Mo, Jun Liu, Jiacheng Liu, Guangyao Wang, Yuting Li, Kaiwei Lin

“…Firstly, the ST-kmeans method is used to cluster the generator sets, and the S-transformation is performed on the power angle changes of the generator sets to extract features. Then, the principal component analysis method is used to reduce the dimension of the feature data. …”
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Variations in Leaf Functional Traits of Pseudotsuga sinensis Across Forests With Varying Levels of Rocky Desertification by Wangjun Li, Wanchang Zhang, Tu Feng, Dongpeng Lv, Shun Zou, Bin He, Xiaolong Bai

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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…This study proposes an approach to enhance the efficiency of supervised vegetation mapping in complex landscapes, integrating Multivariate Functional Principal Component Analysis (MFPCA) applied to the Sentinel-2 time series with drone-based ground truthing. …”
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Experimental Investigation on Low-Complexity Adaptive Equalizer Including RSOP Tracking and Phase Recovery for 112 Gb/s PDM-QPSK Transmission System by Pin Yi, Di Li, Haiping Song, Mengfan Cheng, Deming Liu, Lei Deng

“…Two N-tap filters could compensate for inter-symbol interference and residual chromatic dispersion based on the same error cost function from the power sum of two polarization coupling constant modulus signals. 1-tap 2 × 2 filter which works on the nonlinear principal component analysis (NPCA) criterion is designed for joint polarization demultiplexing and phase recovery. …”
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Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function by Jiawei Zang, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M Sengupta, Andrew J Millis

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Purification and functional characterisation of rhiminopeptidase A, a novel aminopeptidase from the venom of Bitis gabonica rhinoceros. by Sakthivel Vaiyapuri, Simon C Wagstaff, Kimberley A Watson, Robert A Harrison, Jonathan M Gibbins, E Gail Hutchinson

“…One particularly poorly understood component of snake venom is aminopeptidases. These are exo-metalloproteases, which, in mammals, are involved in important physiological functions such as the maintenance of blood pressure and brain function. …”
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Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task by Edgar E. Galindo-Leon, Karl J. Hollensteiner, Florian Pieper, Gerhard Engler, Guido Nolte, Andreas K. Engel

“…While power for hit and miss trials showed significant differences only during stimulus and response onset, phase coupling already differed before stimulus onset. An analysis of principal components in coupling at the single-trial level during this period allowed us to reveal the subnetworks that most strongly determined performance. …”
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Key traits in functional trait networks can identify the temporal structure of fish communities in coastal waters by Jianyu Zou, Xiaozhuang Zhang, Yupeng Ji, Ying Xue, Chongliang Zhang, Yiping Ren, Binduo Xu

“…In this study, we employed trait network analysis, principal coordinates analysis, cluster analysis, and Spearman correlation analysis to construct a functional trait network, identify key traits, examine interannual changes in functional trait composition, and explore changes in the temporal structure and functions of fish communities in Haizhou Bay and its adjacent waters, Yellow Sea, China, from 2013 to 2022 based on species data collected from bottom trawl surveys. …”
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Detection of Cardiac Function Abnormality from MRI Images Using Normalized Wall Thickness Temporal Patterns by Mai Wael, El-Sayed H. Ibrahim, Ahmed S. Fahmy

“…The temporal pattern of the normalized myocardial wall thickness is used as a feature vector to assess the cardiac wall motion abnormality. Principal component analysis is used to reduce the feature dimensionality and the maximum likelihood method is used to differentiate between normal and abnormal features. …”
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Study of Heart Rate Variability to Comprehend the Significance of Singing Bowl Meditation on the Functioning of the Autonomic Nervous System by Ritika Upadhyay, Biswajeet Champaty, Suraj Kumar Nayak

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Sex- and age-related morphological and functional differences in the skull of Eira barbara (Linnaeus, 1758) (Carnivora, Mustelidae) by Fernando Araujo Perini, Fernando L. Sicuro

“…Multivariate statistical analyses (principal component analysis/discriminant function analysis) confirmed these morphological trends, highlighting allometric growth patterns and functional differences in masticatory biomechanics. …”
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A Wearable Functional Near-Infrared Spectroscopy (fNIRS) System for Obstructive Sleep Apnea Assessment by Xude Huang, Jinbu Tang, Jingchun Luo, Feng Shu, Chen Chen, Wei Chen

“…Permutation entropy(PE), for quantitative measuring the complexity of time series, is firstly involved to characterize the features of the physiological signals. Subsequently, the principal component analysis (PCA) for feature dimensionality reduction and support vector machine (SVM) algorithm for OSA classification are applied. …”
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Intraspecific functional traits of an invasive alien plant, Hyptis suaveolens differ with respect to land use types by G. F. Akomolafe, W. O. Ocheola, R. Rosazlina, F. Ojija, S. Xue, B. E. Omomoh

“…Also, the diversity indices were quantified and compared across the sites at each location. Principal component analysis with the option of a varimax rotation was used to isolate axes of specialization of the plant at all the sites. …”
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