Application of Computer Simulation in Exploring the Effects of <italic>Achyranthis Bidentatae Radix</italic> on Simultaneously Treating Wei Syndrome and Bi Syndrome of Osteoarthrit... by Chunsong ZHENG, Hongzhi YE, Jinxia YE, Changlong FU

“…Based on the platforms of quantitative structure-activity relationship and principal component analysis, the distributions of the above datasets were analyzed in the chemical space.②Matrix metalloproteinase-1 (MMP-1), matrix metalloproteinase-3 (MMP-3), and transforming growth factor beta-1 (TGF-β1) were chosen as the targets of treating Wei Syndrome of OA, while interleukine-1 beta (IL-1β), interleukine-6 (IL-6), tumor necrosis factor-alpha (TNF-α) were chosen as the targets of treating Bi syndrome of OA. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…NOise Reduction with DIstribution Corrected (NORDIC) PCA (principal component analysis) is a denoising technique specifically aimed at suppressing thermal noise, which has proven useful for increasing the SNR of high-resolution functional data. …”
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MetaboLINK is a novel algorithm for unveiling cell-specific metabolic pathways in longitudinal datasets by Jared Lichtarge, Gerarda Cappuccio, Gerarda Cappuccio, Soumya Pati, Soumya Pati, Alfred Kwabena Dei-Ampeh, Alfred Kwabena Dei-Ampeh, Senghong Sing, Senghong Sing, Senghong Sing, LiHua Ma, Zhandong Liu, Zhandong Liu, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic, Mirjana Maletic-Savatic

“…As biological datasets, particularly metabolomics, become larger and more complex, innovative strategies are essential for deciphering the intricate molecular and cellular networks.MethodsWe introduce a pioneering analytical approach that combines Principal Component Analysis (PCA) with Graphical Lasso (GLASSO). …”
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Development of New Gluten-Free Maize-Field Bean Bread Dough: Relationships Between Rheological Properties and Structure of Non-Gluten Proteins by Awatif Fetouhi, Agnieszka Sujak, Leila Bentallah, Agnieszka Nawrocka, Monika Szymańska-Chargot, Marta Tomczyńska-Mleko, Agnieszka Wójtowicz, Mohammed Nasreddine Zidoune

“…According to principal component analysis (PCA), a strong relationship was found between protein secondary structure, tan δ, gelatinization temperature, and between aromatic amino-acid chains, peak viscosity, and breakdown. …”
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Modeling the tropical fish community related to land uses and environmental determinants by N. Takarina, O. Chuan, M. Afifudin, L. Tristan, I. Arif, A. Adiwibowo

“…Fish diversity was determined using the Shannon–Wiener index, rarefaction curve, and Lorenz graph. Principal component analysis, analysis of variance, and the x2-test were used to determine environmental factors that affected the fish community at both sites. …”
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Macro-environment oscillation notably up risk of water quality degradation: A case study in Shanxi Reservoir, China by Wangwei Cai, Jihong Xia, Zewen Liu, Jiayi Zu, Shuyi Ji, Yue Wang, Qihua Wang

“…Monthly macro-environment data from 2014 to 2022 (sample size = 108), including 10 factors of meteorology, hydrology, and pollution, was used to create a Macro-Environment Index (MEI) by Principal Component Analysis. And the water quality data (sample size = 2914) was used to develop a Water Quality Index (WQI) based on Mahalanobis Distance. …”
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Impact of Organic Agriculture on the Quality of Grapes (Syrah and Tempranillo) Harvested in Guanajuato, Mexico: Relationship Between Soil Elemental Profile and Grape Bioactive Prop... by Fabio Macías-Gallardo, Tannia Alexandra Quiñones-Muñoz, Raúl Miranda-Avilés, Luis Felipe Ramírez-Santoyo, Gabriela Ana Zanor, César Ozuna

“…Soil components were determined from CON and ORG vineyards; they were correlated with bioactive compounds in grape skin and seed through principal component analysis (PCA). The ORG vineyard presented higher moisture (4.50–5.72%), clay (31.70–40.55%), organic matter (OM) (9.44–11.01%), P (108.72–122.16 mg/kg), N (0.27 mg/kg), and oxides (Fe₂O₃, SiO₂, MnO, TiO₂) in soil and phenolic compounds (myricetin, quercetin, resveratrol, ellagic acid, others) and antioxidant capacity in grape skin and seed. …”
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Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend by V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon

“…More specifically, using a methodology based on principal component analysis and <span class="inline-formula"><i>k</i></span>-means clustering, we have identified different modes of spatial variability, mainly depending on the elevation, which reflect different climatic zones. …”
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Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma by Xiangjun Qi, Jiayun Guo, Guoming Chen, Caishan Fang, Leihao Hu, Jing Li, Chi Zhang

“…The nonnegative matrix factorization (NMF) approach was used to identify the CRG-related molecular subtypes. Principal component analysis was adopted to verify the robustness and reliability of the molecular subtype. …”
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Biochemical Composition and Seasonal Variations of the Madagascar Algae <i>Eucheuma denticulatum</i> (<i>Solieriaceae</i>, Rhodophyta) by Elando Fréda Zamanileha, Anne-Sophie Burlot, Thomas Latire, Christel Marty, Philippe Douzenel, Laurent Vandanjon, Nathalie Bourgougnon, Pierre Ravelonandro, Gilles Bedoux

“…Finally, the principal component analysis (PCA) showed a correlation between protein content and environmental parameters. …”
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Changes Related to Age in Natural and Acquired Systemic Self-IgG Responses in Malaria by Romuald Dassé, Didier Lefranc, Sylvain Dubucquoi, Patricia Dussart, Virginie Dutoit-Lefevre, Boualem Sendid, François Sombo Mambo, Patrick Vermersch, Lionel Prin

“…Using linear discriminant and principal component analysis, immune footprints were compared by counting the number, the presence or absence of reactive bands. …”
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Distinct lipidomic profiles but similar improvements in aerobic capacity following sprint interval training versus moderate-intensity continuous training in male adolescents by Wantang Su, Jianming Liu, Jianming Liu, Aozhe Wang, Haifeng Zhang, Yaqi Sun, Zhiyi Yan, Michael Svensson, Ji-Guo Yu, Li Zhao

“…Anthropometric, VO2peak, and serum biochemical data were analyzed using two-way repeated analysis of variance, while targeted lipidomic analysis was performed by principal component analysis and paired-sample t-test.ResultsVO2peak significantly improved from 39.05 ± 8.17 to 47.52 ± 8.51 [F (1, 44) = 14.75, p &lt; 0.05] for MICT and from 40.13 ± 6.37 to 48.42 ± 7.01 [F (1, 44) = 14.75, p &lt; 0.05] for SIT. …”
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Application of ATR-FTIR spectroscopy and multivariate statistical analysis in cancer diagnosis by Ao Song, Wanli Yang, Jun Wang, Yisa Cai, Lizheng Cai, Nan Pang, Ruihua Yu, Zhikun Liu, Chao Yang, Feng Jiang

“…By applying principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to analyze infrared spectral data, these subtle differences can be amplified. …”
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Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction by Nor Irwin Basir, Kathlyn Kaiyun Tan, Danny Hartanto Djarum, Zainal Ahmad, Dai-Viet N. Vo, Zhang Jie

“…The performance of these autoencoder models is also compared with other models, such as feedforward artificial neural networks (FANN) and principal component analysis (PCA). The findings confirm that both autoencoder models enhance API prediction accuracy, with the deep sparse autoencoder emerging as the optimal model, highlighting the potential of deep learning in improving air quality prediction. …”
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Conservation agricultural practices promoted arbuscular mycorrhizal fungal colonization and glomalin content on sandy clay loam of southern India by Knight Nthebere, Tata Ram Prakash, Padmaja Bhimireddy, Latha P. Chandran, Jayasree Gudapati, Meena Admala, Kavuru Prasad

“…The following parameters; T-GRSP, SOC, WSA1–2mm, SMBC and β-GaA were selected as potential indicators to gauge the soil quality based on calculated principal component analysis (PCA). In general, the examined parameters in the study are highly supported by zero-till + crop residues, and can be considered indicators for monitoring agroecosystem.…”
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Fine-scale satellite-based monitoring of temperature and vegetation cover in microclimates, distribution ranges, and landscape connectivity for Neurergus kaiseri (Kaiser’s mountain... by Peyman Karami, Sajad Tavakoli, Mina Esmaeili

“…We performed point-based analyses of LST and NDVI trends and microclimate heterogeneity using Mann-Kendall tests (MK) and principal component analysis (PCA). We calculated LST and NDVI trends with MK for sub-basins in suitable habitats, examining significant changes by land use/land cover (LULC). …”
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Effect of acid whey protein concentrate on the rheological properties, antioxidant capacities, and biological activities of bioaccessible fractions in fermented camel milk by Mutamed Ayyash, Abdelmoneim H. Ali, Anas Al-Nabulsi, Tareq Osaili, Gafar Bamigbade, Athira Subash, Basim Abu-Jdayil, Afaf Kamal-Eldin

“…The biological activities, including α-amylase, α-glucosidase, and angiotensin-converting enzyme inhibition, increased after in vitro digestion of yogurt samples. Principal component analysis underscored the distinct bioactive profile of WPCA6, distinguishing it from other yogurt treatments and highlighting its superior properties.…”
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Concentration-dependent interactive toxicity of cadmium and mercury: Non-negligible effects on phytoremediation by indigenous Artemisia lavandulaefolia by Gangyang Zhang, Guo Chen, Rui Yang, Chunlian Bai, Weiyuhao Yang, Juan Zhang, Xuyang Yin, Fang Yang, Chandra Shekhar Seth, Haitao Liu

“…The antioxidant systems of roots and leaves play important roles in attenuating Hg and Cd stress, respectively. Principal component analysis (PCA) revealed concentration-dependent trade-offs between heavy metal accumulation and plant growth and between the above- and belowground antioxidant activities of Artemisia lavandulaefolia for the first time. …”
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Environmental and health risk assessment of polycyclic aromatic hydrocarbons and toxic elements in the red sea using Monte Carlo simulation by F. Alshaima Sayed, Mohamed Hamdy Eid, Ahmed M. El-Sherbeeny, Gouda Ismail Abdel-Gawad, Essam A. Mohamed, Mostafa R. Abukhadra

“…The study evaluated environmental and human health risks using a multifaceted approach, including cluster analysis, principal component analysis, and various indices (HPI, RI, MI, HQ, HI, and CR). …”
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Humic acid improves water retention, maize growth, water use efficiency and economic benefits in coastal saline-alkali soils by Ge Li, Yuyang Shan, Weibo Nie, Yan Sun, Lijun Su, Weiyi Mu, Zhi Qu, Ting Yang

“…Appropriate HA application significantly enhanced SWS, RD, PH, LAI, ADM, yield, WUE, and ∆NP. Principal component analysis revealed that the H250 treatment in 2019 and the H50 treatment in 2020 achieved the highest comprehensive rankings. …”
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