Results 81 to 90 of about 914,283 (289)

HAND HUMAN RECOGNITION BERDASARKAN GEOMETRI TELAPAK TANGAN MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2019
Sistem pengenalan diri merupakan sebuah sistem yang dapat digunakan untuk mengenali identitas sesorang yang dapat dilakukan secara otomatis menggunakan komputer.
Nurul Fadillah   +2 more
doaj   +1 more source

Multi‐omics and low‐input proteomics profiling reveals dynamic regulation driving pluripotency initiation in early mouse embryos

open access: yesFEBS Open Bio, EarlyView.
Mouse pre‐implantation development involves a transition from totipotency to pluripotency. Integrating transcriptomics, epigenetic profiling, low‐input proteomics and functional assays, we show that eight‐cell embryos retain residual totipotency features, whereas cytoskeletal remodeling regulated by the ubiquitin‐proteasome system drives progression ...
Wanqiong Li   +8 more
wiley   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Size Distribution and Source Identification of Airborne Particulate Matter and Metallic Elements in a Typical Industrial City

open access: yesAsian Journal of Atmospheric Environment, 2010
The size distribution of airborne particulate matter (PM) and the concentrations of associated metallic elements were investigated in a busy urban region of a typical Korean industrial city.
Mai Tra Ny , Byeong-Kyu Lee
doaj   +1 more source

Towards a Theoretical Analysis of PCA for Heteroscedastic Data

open access: yes, 2016
Principal Component Analysis (PCA) is a method for estimating a subspace given noisy samples. It is useful in a variety of problems ranging from dimensionality reduction to anomaly detection and the visualization of high dimensional data.
Balzano, Laura   +2 more
core   +1 more source

Cancer epithelia-derived mitochondrial DNA is a targetable initiator of a paracrine signaling loop that confers taxane resistance. [PDF]

open access: yes, 2020
Stromal-epithelial interactions dictate cancer progression and therapeutic response. Prostate cancer (PCa) cells were identified to secrete greater concentration of mitochondrial DNA (mtDNA) compared to noncancer epithelia.
Agarwal, Priyanka   +11 more
core  

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

GENETIC DIVERSITY IN SODIUM AZIDE INDUCED WHEAT MUTANTS STUDIED BY SSR MARKERS

open access: yesTrakya University Journal of Natural Sciences, 2018
Mutations induced artificially way are one of the tools used to increase genetic variation in populations where genetic variation has been shrinking especially due to various reasons one of which is domestication.
Fatma Sarsu, Ayşe Şen
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

open access: yesFEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu   +10 more
wiley   +1 more source

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