Results 71 to 80 of about 993,069 (277)

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

open access: yesMolecular 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   +5 more
wiley   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

Proximity-Based Adaptive Indoor Positioning Method Using Received Signal Strength Indicator

open access: yesApplied Sciences
In this paper, we propose a proximity-based adaptive positioning algorithm to address the challenge of positioning errors in indoor localization based on RSSI (received signal strength indicator). When positioning by trilateration, if a receiver is close
Jae-hyuk Yoon   +2 more
doaj   +1 more source

Deep Learning Based Received Signal Strength Estimation

open access: yes2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
As network densification becomes crucial for future mobile networks, deploying base stations (BS)s grows increasingly challenging due to the complex procedures in planning; moreover, poor layout can result in inadequate coverage. A coverage prediction model helps operators address these issues by identifying coverage gaps, optimizing BS placement ...
Mallik, Mohammed, Villemaud, Guillaume
openaire   +2 more sources

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Indoor Received Signal Strength Indicator Measurements for Device-Free Target Sensing

open access: yesEngineering Proceedings
For applications such as home surveillance systems and assisted living for elderly care, sensing capabilities are essential for tasks such as locating, determining the approximate position of a person, or identifying the status of a person (static or ...
Alex Zhindon-Romero   +2 more
doaj   +1 more source

A Grid-Based Localization Algorithm for Wireless Sensor Networks Using Connectivity and RSS Rank

open access: yesIEEE Access, 2018
To improve localization accuracy and reduce system costs, a new range-free localization algorithm for wireless sensor networks using connectivity and received signal strength (RSS) rank is proposed.
Zengfeng Wang   +3 more
doaj   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

open access: yesElektronika ir Elektrotechnika
In this research, the impact of various weather conditions on digital television signals is investigated. Machine learning and nonlinear regression models were used to estimate the strength of the received signal.
Ivana Stefanovic   +3 more
doaj   +1 more source

PRAPD: A novel received signal strength–based approach for practical rogue access point detection

open access: yesInternational Journal of Distributed Sensor Networks, 2018
Rogue access point attack is one of the most important security threats for wireless local networks and has attracted great attention from both academia and industry. Utilizing received signal strength information is an effective solution to detect rogue
Wenjia Wu   +4 more
doaj   +1 more source

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