Disentangling signal and noise in neural responses through generative modeling. by Kendrick Kay, Jacob S Prince, Thomas Gebhart, Greta Tuckute, Jingyang Zhou, Thomas Naselaris, Heiko H Schütt

“…We also demonstrate the application of GSN to empirical fMRI data to illustrate a simple consequence of GSN: by disentangling signal and noise components in neural responses, GSN denoises principal components analysis and improves estimates of dimensionality. …”
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“Physicochemical characterization and microbial quality evaluation of Gracilaria tenuistipitata added crackers’’ by Ananya Raiyan, Md. Mohasin Hossain, Md. Ashrafuzzaman Zahid, Nazia Nawshad Lina, Suvasish Das Shuvo, Rashida Parvin

“…Increasing seaweed content in T1 and T2 positively correlated with elevated phenolic content, antioxidant activities, and reduced microbial growth. Principal component analysis (PCA) was performed to visualize the interconnection among 28 parameters and our top five principal components can explain 95.8 % data variability. …”
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Transgenic overexpression of LARGE induces α-dystroglycan hyperglycosylation in skeletal and cardiac muscle. by Martin Brockington, Silvia Torelli, Paul S Sharp, Ke Liu, Sebahattin Cirak, Susan C Brown, Dominic J Wells, Francesco Muntoni

“…Overexpression of LARGE induces hyperglycosylation of α-dystroglycan in both wild type and in cells from dystroglycanopathy patients, irrespective of their primary gene defect, restoring functional glycosylation. Viral delivery of LARGE to skeletal muscle in animal models of dystroglycanopathy has identical effects in vivo, suggesting that the restoration of functional glycosylation could have therapeutic applications in these disorders. …”
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Isolation and Mechanistic Investigation of the Efficient Zearalenone-Removing Strain <i>Bacillus licheniformis</i> YJ25 by Yuting Wu, Feina Wu, Pan Zhao, Yan Gao, Mengyao Li, Mengjiao Luo, Qian Zhou, Siyuan Zhou, Xinhui Li, Yaling Hong, Yang Wu, Zhaorong Zhou, Yang Liu, Yandong Xia, Lijun Zou, Jia Yin

“…Fourier-transform infrared spectroscopy (FTIR) analysis identified O-H, C-H, C=O, and C-O as the principal functional groups participating in the cell wall adsorption process. …”
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Design and validation of a Primary Reading Proficiency Test (PCL-P) by Laura Trimiño-Pérez, Jone Hurtado-Reina, Erlantz Velasco, Alaitz Martinez

“…On the other hand, the exploratory factor analysis (principal components method and Varimax rotation) results in 5 factors explaining 59% of the variance: (1) word and text recognition and structural understanding; (2) evaluation and critical reflection of information for the creation of new ideas; (3) advanced/deep reading strategies; (4) phonological awareness; and (5) structural understanding of language and detection of key elements. …”
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Neuroanatomical variability of religiosity. by Dimitrios Kapogiannis, Aron K Barbey, Michael Su, Frank Krueger, Jordan Grafman

“…We performed structural magnetic resonance imaging of the brain in 40 healthy adult participants who reported different degrees and patterns of religiosity on a survey. We identified four Principal Components of religiosity by Factor Analysis of the survey items and associated them with regional cortical volumes measured by voxel-based morphometry. …”
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Distinct cultivars of Camellia oleifera and altitude affect proximate composition and lipidome profile of its seeds from two locations by Tiemin Jiang, Yuying Li, Bo Jie Chen, Yachun Lu, Xia Li, Hock Eng Khoo

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Multiple modes of impulsivity in Parkinson's disease. by Cristina Nombela, Timothy Rittman, Trevor W Robbins, James B Rowe

“…We then used factor analysis (principal components method) to identify the structure of impulsivity in Parkinson's disease. …”
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METODOLOGIA DE PREVISÃO EM TEMPO REAL DO PCI (PODER CALORÍFICO INFERIOR) BASEADO NA REGRESSÃO DE POISSON PARA APLICAÇÃO EM SISTEMAS DE GÁS COMBUSTÍVEL DE PLANTAS PETROQUÍMICAS... by Lea S. dos Santos, Rafael P. Soares

“…The predictive model developed, based on Poisson regression with a logarithmic link function, showed an average error of only 0.32%, standing out in accuracy compared to other methodologies such as simple linear regression and principal component analysis (PCA). …”
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Supplemented with Astragalus dregs improves growth performance, immunity, and antioxidant capacity in fattening pigs by Qi Guo, Jiayi Wang, Xuhan Wang, Hongyi Zhang, Jiajiao Xing

“…This study aimed to investigate the impact of Astragalus dregs — the residue after the extraction of principal active components — on the growth performance, antioxidant capacity, and immune function of fattening pigs. …”
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Research on digital matching methods integrating user intent and patent technology characteristics by Jianwei Yang, Yi Wang, Bonan Zang, Min Peng, George Torrens

“…Third, the BERT model and Principal Component Analysis (PCA) are applied for vector transformation and dimensionality reduction of feature texts, completing the digital characterization. …”
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An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

“…Principal component analysis was used to identify inhibitors of cellular components not targeted by known protein kinase inhibitors. …”
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Transcriptomic Characterization Reveals Mitochondrial Involvement in Nrf2/Keap1-Mediated Osteoclastogenesis by Eiko Sakai, Takayuki Tsukuba

“…Principal component analysis showed that 403 genes, including <i>Nqo1</i>, <i>Il1f9</i>, and <i>Mmp12</i>, were upregulated in <i>Keap1</i> KO compared with WT osteoclasts, whereas 24 genes, including <i>Snhg6</i>, <i>Ccdc109b</i>, and <i>Wfdc17</i>, were upregulated in <i>Nrf2</i> KO compared with WT osteoclasts. …”
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Predefined and data-driven CT radiomics predict recurrence-free and overall survival in patients with pulmonary metastases treated with stereotactic body radiotherapy. by Pascal Salazar, Patrick Cheung, Balaji Ganeshan, Anastasia Oikonomou

“…First-order radiomic features were extracted using two methods: 2D CT texture analysis (CTTA) using TexRAD software, and a data-driven technique: functional principal components analysis (FPCA) using segmented tumoral and peri-tumoural 3D regions.…”
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Supply chain development: Criterion of decision for implementation of future seed collection centers in rural areas by Boris Gerardo German, Edward Jiménez, Andrés Chico, Sebastián Espinoza, Ricardo A. Narváez C.

“…Data were complemented whit a Geographical Information System (GIS) and an objective function was defined in order to determine the Jatropha oil production-associated profit. …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…Then, statistical features and principal component analysis are utilized to extract significant information from the features, to get effective data from multiple faults. …”
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Supply chain development: Criterion of decision for implementation of future seed collection centers in rural areas by Boris Gerardo German, Edward Jiménez, Andrés Chico, Sebastián Espinoza, Ricardo A. Narváez C.

“…Data were complemented whit a Geographical Information System (GIS) and an objective function was defined in order to determine the Jatropha oil production-associated profit. …”
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FORMATION OF INFORMATION SENSOR IMAGES OF INTELLIGENT VITA-MEDIUM by A. V. Gulaj, V. M. Zaytsev, V. A. Gulaj

“…This provide data filling with the distinctive contents having the principal meaning for a set of functional tasks resolved in the intelligent model volume.…”
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Blood peptidome-degradome profile of breast cancer. by Yufeng Shen, Nikola Tolić, Tao Liu, Rui Zhao, Brianne O Petritis, Marina A Gritsenko, David G Camp, Ronald J Moore, Samuel O Purvine, Francisco J Esteva, Richard D Smith

“…<h4>Methodology and principal findings</h4>The peptidome-degradome profiles of pooled blood plasma sampled from 15 breast cancer patients (BCP) and age, race, and menopausal status matched control healthy persons (HP) were globally characterized using advanced comprehensive separations combined with tandem Fourier transform mass spectrometry and new data analysis approaches that facilitated top-down peptidomic analysis. …”
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Urine metabolomic changes in cats with renal disease or calcium oxalate uroliths. by Dennis E Jewell, Selena K Tavener, Regina L Hollar, Kiran S Panickar

“…All analytes were expressed as a ratio to creatinine in order to compensate for differences in water intake. Principal components analysis was used as the method of factor extraction resulting in six factors that differed between groups. …”
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