Results 41 to 50 of about 560,645 (271)

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

ANALISIS FAKTOR PENYEBAB PENYAKIT JANTUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA)

Jurnal Lebesgue
Factor analysis is an important method in research to identify the underlying structure of complex data. Heart disease is a disease caused by a disturbance in the coronary blood vessels that causes narrowing and blockage so that it can interfere with the
Sudianto Manullang, Nerli Kairani, Marlina Setia Sinaga, Brian Hutapea, Fauza Nadya, Jesika Casadae Wanda Br Barus, Angga Tamara, Dewi Fortuna Silaban   +7 more
doaj   +1 more source

PRINCIPAL COMPONENT ANALYSIS (PCA) OF THE ACTIVITIES OF INFORMAL CONSTRUCTION WORKERS/ARTISANS IN NIGERIA

Journal of Construction Project Management and Innovation, 2014
Every employment has deposit of activities to be performed by her employees. These activities vary with industries and who performs each of these activities is determined by how significance they are to the employment operation.
Sunday Julius Odediran, Olubola Babalola
doaj   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

High Dimensional Semiparametric Scale-Invariant Principal Component Analysis

, 2014
We propose a new high dimensional semiparametric principal component analysis (PCA) method, named Copula Component Analysis (COCA). The semiparametric model assumes that, after unspecified marginally monotone transformations, the distributions are ...
Han, Fang, Liu, Han
core   +1 more source

Beyond Spheroids and Discs: Classifications of CANDELS Galaxy Structure at 1.4 < z < 2 via Principal Component Analysis [PDF]

, 2016
Important but rare and subtle processes driving galaxy morphology and star-formation may be missed by traditional spiral, elliptical, irregular or S\'ersic bulge/disk classifications.
Barro, Guillermo, Freeman, Peter E., Grogin, Norman A., Guo, Yicheng, Hemmati, Shoubaneh, Kartaltepe, Jeyhan S., Kocevski, Dale D., Koekemoer, Anton M., Lotz, Jennifer M., McIntosh, Daniel H., McPartland, Conor, Mortazavi, S. Alireza, Nayyeri, Hooshang, Papovich, Casey, Peth, Michael A., Primack, Joel R., Simons, Raymond C., Snyder, Gregory F.   +17 more
core   +3 more sources

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

The principal independent components of images [PDF]

, 2010
This paper proposes a new approach for the encoding of images by only a few important components. Classically, this is done by the Principal Component Analysis (PCA).
Arlt, Björn, Brause, Rüdiger W.
core  

AR-PCA-HMM approach for sensorimotor task classification in EEG-based brain-computer interfaces [PDF]

, 2010
We propose an approach based on Hidden Markov models (HMMs) combined with principal component analysis (PCA) for classification of four-class single trial motor imagery EEG data for brain computer interfacing (BCI) purposes. We extract autoregressive (AR)
Argunsah, Ali Ozgur, Argunşah, Ali Özgür, Cetin, Mujdat, Çetin, Müjdat   +3 more
core   +1 more source

Community awareness about disaster preparedness: Principal component analysis (PCA)

Majmaah Journal of Health Sciences, 2021
Background and Aim: Responsibility for disaster preparedness is not limit- ed to healthcare institutions and healthcare providers; communities must also be involved. Knowledge of community members’ awareness of disaster preparedness will enhance and strengthen a community’s resilience to disaster.
Abdullelah Thobaity, Modi Moteri
openaire   +1 more source