Results 111 to 120 of about 813,237 (289)

Pulse Radar with Field-Programmable Gate Array Range Compression for Real Time Displacement and Vibration Monitoring

open access: yesSensors, 2018
This paper aims to present the basic functionality of a radar platform for real time monitoring of displacement and vibration. The real time capabilities make the radar platform useful when live monitoring of targets is required.
Mihai-Liviu Tudose   +3 more
doaj   +1 more source

Gene expression profile of sigma-1 (s1R) and sigma-2 (s2R) receptors in pancreatic cancer [PDF]

open access: yesHPB, 2018
D. Magouliotis   +4 more
openaire   +1 more source

Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae

open access: yesFEBS Open Bio, EarlyView.
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj   +3 more
wiley   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

open access: yesFEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point   +7 more
wiley   +1 more source

Tumor‐stromal crosstalk and macrophage enrichment are associated with chemotherapy response in bladder cancer

open access: yesFEBS Open Bio, EarlyView.
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold   +11 more
wiley   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Tearing-mediated Alfvénic Turbulence in a Relativistic Plasma

open access: yesThe Astrophysical Journal
In astrophysical relativistic plasmas, Alfvénic turbulence exists across a wide range of scales. Similar to a nonrelativistic case, this turbulence can be influenced by the tearing instability.
Stanislav Boldyrev, Nuno F. Loureiro
doaj   +1 more source

Microglial dynamics and ferroptosis induction in human iPSC‐derived neuron–astrocyte–microglia tri‐cultures

open access: yesFEBS Open Bio, EarlyView.
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li   +6 more
wiley   +1 more source

Pharmacological Effects of .SIGMA.-Receptor Ligands. Atypical antipsychotic profiles of sigma receptor ligands.

open access: yesFolia Pharmacologica Japonica, 1999
G. D. Bartoszyk   +4 more
openaire   +3 more sources

Enhanced Prediction of Molecular Properties Using Transfer Learning on Sigma Profiles

open access: yes
Abstract The performance of machine learning techniques for the prediction of a wide range of molecular properties has seen rapid improvements in recent years due to developments in both molecular representations and deep learning modeling techniques.
Tianzhixi Yin   +3 more
openaire   +1 more source

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