Results 41 to 50 of about 1,128,000 (254)

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

open access: yesMolecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

Spectrum sensing techniques for 5G wireless networks: Mini review

open access: yesSensors International, 2022
Cognitive radio (CR) is a leading candidate for addressing spectrum constraints and is a key component of fifth-generation (5G) communications. For optimum usage of accessible unused spectrum, spectrum sensing is a critical aspect of CR.
RS Koteeshwari, B. Malarkodi
doaj   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

open access: yesMolecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche   +10 more
wiley   +1 more source

Nonuniform compressive sensing for heterogeneous wireless sensor networks

open access: yes, 2013
In this paper, we consider the problem of using wireless sensor networks (WSNs) to measure the temporal-spatial profile of some physical phenomena. We base our work on two observations.
Rana, Rajib   +3 more
core   +1 more source

Compressive sensing over networks [PDF]

open access: yes, 2010
In this paper, we demonstrate some applications of compressive sensing over networks. We make a connection between compressive sensing and traditional information theoretic techniques in source coding and channel coding.
Effros, Michelle   +5 more
core   +1 more source

Speech Signals Compressive Sensing with Deep Autoencoders

open access: yes, 2023
This file contains working code related to our work "Deep Autoencoder-based framework for Compressive Sensing"
Irfan Ahmed
core   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

open access: yesMolecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau   +9 more
wiley   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

open access: yesFEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain   +11 more
wiley   +1 more source

A Two-Dimensional Adaptive Target Detection Algorithm in the Compressive Domain

open access: yesSensors, 2019
By applying compressive sensing to infrared imaging systems, the sampling and transmitting time can be remarkably reduced. Therefore, in order to meet the real-time requirements of infrared small target detection tasks in the remote sensing field, many ...
Wenhuan Cao, Shucai Huang
doaj   +1 more source

Home - About - Disclaimer - Privacy