Results 121 to 130 of about 3,609,102 (305)

Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning. [PDF]

EBioMedicine, 2022
Zhou J, Ji N, Wang G, Zhang Y, Song H, Yuan Y, Yang C, Jin Y, Zhang Z, Zhang L, Yin Y.   +10 more
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Identifying Hybrid DDoS Attacks in Deterministic Machine-to-Machine Networks on a Per-Deterministic-Flow Basis. [PDF]

Micromachines (Basel), 2021
Chen YH, Lai YC, Zhou KZ.
europepmc   +1 more source

Timed Verification of Machine-to-Machine communications

Procedia Computer Science, 2014
AbstractMachine-to-Machine communications (M2M) is emerging as a new technology for next generation of communicating systems. In such M2M based systems, a large number of intelligent machines share information and make collaborative decisions without human interventions.
Gharbi, Ghada, Guermouche, Nawal, Monteil, Thierry   +2 more
openaire   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

Efficient Data Communication Using Distributed Ledger Technology and IOTA-Enabled Internet of Things for a Future Machine-to-Machine Economy. [PDF]

Sensors (Basel), 2021
Akhtar MM, Rizvi DR, Ahad MA, Kanhere SS, Amjad M, Coviello G.   +5 more
europepmc   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

How Do (Human) Child Welfare Workers Respond to Machine-Generated Risk Scores?

Sociological Science
Algorithmic risk scoring tools have been widely incorporated into governmental decision making, yet little is known about how human decision makers interact with machine-generated risk scores at the street level.
Martin Eiermann, Maria Fitzpatrick, Katharine Sadowski, Christopher Wildeman   +3 more
doaj   +1 more source

Day/night variations of myeloid and lymphoid cell subsets in the murine inguinal lymph node

FEBS Open Bio, EarlyView.
The circadian system is involved in the temporal regulation of the immune system. Our study reveals that two innate immune populations, NKT cells and neutrophils, predominate at the beginning of the day in healthy mice, highlighting how the time of day influences immune responses.
Paula M. Wagner, César G. Prucca, Lucia Boffelli, Virginia A. Piqueras, Silvia G. Correa, Mariana Maccioni, Mario E. Guido   +6 more
wiley   +1 more source