Results 101 to 110 of about 408,145 (290)

Germanane Quantum Dots Promote Metabolic Reprogramming of Immune Cells Toward Regulatory T Cells and Suppress Inflammation In Vitro and In Vivo

Advanced Functional Materials, EarlyView.
Metabolic changes in immune cells direct the phenotype and function of the host immune system. Smart nanomaterials must target metabolic pathways to direct immune cell fate. This study reports the fabrication and first application of germanane quantum dots (GeHQDs) to modulate inflammation in vitro and in vivo.
Abhay Srivastava, Alireza Rafieerad, Weiang Yan, Keshav Narayan Alagarsamy, Qingdong Guan, Leena Regi Saleth, Michel Aliani, Sanjiv Dhingra   +7 more
wiley   +1 more source

Rotation in Multiple Correspondence Analysis: a planar rotation iterative procedure [PDF]

Multiple Correspondence Analysis (MCA) is a well-known multivariate method for statistical description of categorical data (see for instance Greenacre and Blasius, 2006). Similarly to what is done in Principal Component Analysis (PCA) and Factor Analysis,
Jérome SARACCO (GREThA UMR CNRS 5113), Marie CHAVENT (IMB UMR CNRS 5251), Vanessa KUENTZ (IMB UMR CNRS 5251)   +2 more
core  

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Process Monitoring via Key Principal Components and Local Information Based Weights

IEEE Access, 2019
There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song, Xinggui Zhou, Shuai Tan, Hongbo Shi, Bo Zhao, Mengling Wang   +5 more
doaj   +1 more source

Generation of an Induced Pluripotent Stem Cell‐Derived Alveolar Type II In Vitro Model to Study Influenza A Virus Infection and Drug Treatments

Advanced Healthcare Materials, EarlyView.
Patient‐specific induced pluripotent stem cells (iPSCs) can be differentiated into alveolar type II cells (iAT2s), expanded as 3D alveolospheres, and grown at physiologically relevant air–liquid interface (ALI). This study shows for the first time the infectability of iAT2s by the influenza A virus (IAV) and proves their responsiveness to the well ...
Lena Gauthier, Hristina Koceva, Yann Bachelot, Rosanne W. Koutstaal, Puck B. van Kasteren, Marc Thilo Figge, Christian Eggeling, Alexander Sandy Mosig   +7 more
wiley   +1 more source

Application of Principal Component Analysis (PCA) to Medical Data

Indian Journal of Science and Technology, 2017
Objectives: To apply Principal Component Analysis to medical data to explore the factors thought to be very important in increasing the risk of Ischemic Heart Diseases. Methods/Statistical Analysis: PCA was performed in R-mode using correlation and covariance for medical data.
Barkatullah Qureshi, Mubeena Pathan, Muhammad Javed Sheikh, Habibullah Magsi, Velo Suthar, Naeem Ahmed Qureshi   +5 more
openaire   +1 more source

Few‐Layered Conductive Graphene Foams for Electrical Transdifferentiation of Mesenchymal Stem Cells Into Schwann Cell‐Like Phenotypes

Advanced Healthcare Materials, EarlyView.
Few‐layered three dimansional conductive graphene foams are promising cytocompatible platforms to transdifferentiate mesenchymal stem cells into Schwann cell‐like phenotypes using electrical and microstructural cues. Applied electrical stimulation conditions resulted in activation of MAPK, neurotrphin and RAS signaling pathways that led to upregulation
Ekin G. Simsar, Peifu Cheng, Tugce Dogruel, Maxsam Donta, Juhyung Jung, Naomi A. Asante, Donald S. Sakaguchi, Surya K. Mallapragada, Piran R. Kidambi, Metin Uz   +9 more
wiley   +1 more source

METODE PRINCIPAL COMPONENT ANALYSIS (PCA) SEBAGAI PENANGANAN ASUMSI MULTIKOLINEARITAS

PARAMETER: Jurnal Matematika, Statistika dan Terapannya, 2023
Salah satu metode analisis yang banyak digunakan dalam penelitian adalah analisis regresi linier. Pada kasus regresi sederhana, pola hubungan linier diterapkan untuk satu variabel bebas dan satu variabel terikat. Sedangkan pada kasus regresi berganda, pola hubungan linier diterapkan untuk satu variabel bebas dengan beberapa variabel terikat.
openaire   +1 more source

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

Advanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu‐Wai‐Man   +5 more
wiley   +1 more source

Comparing the Utility of Mitochondrial and Nuclear DNA to Adjust for Genetic Ancestry in Association Studies

Cells, 2019
Mitochondrial genome-wide association studies identify mitochondrial single nucleotide polymorphisms (mtSNPs) that associate with disease or disease-related phenotypes.
Brendan Miller, Thalida E. Arpawong, Henry Jiao, Su-Jeong Kim, Kelvin Yen, Hemal H. Mehta, Junxiang Wan, John C. Carpten, Pinchas Cohen   +8 more
doaj   +1 more source