Results 51 to 60 of about 287,204 (299)

Performance Modelling and Optimisation of Multi-hop Networks [PDF]

open access: yes, 2012
A major challenge in the design of large-scale networks is to predict and optimise the total time and energy consumption required to deliver a packet from a source node to a destination node.
Abdelrahman, Omer Hassan Omer   +1 more
core   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

Energy Packet Networks With Energy Harvesting

open access: yesIEEE Access, 2016
We investigate the cooperation among energy prosumers (unified energy provider and consumer) through the energy packet network (EPN) paradigm, which represents both the flow of work that requires energy, and the flow of energy itself, in terms of discrete units.
Erol Gelenbe, Elif Tugce Ceran
openaire   +4 more sources

Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte   +10 more
wiley   +1 more source

Comprehensive omics‐based classification system in adult patients with B‐cell acute lymphoblastic leukemia

open access: yesMolecular Oncology, EarlyView.
The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song   +11 more
wiley   +1 more source

The United Nations and the Human Rights Issue [PDF]

open access: yes, 1979
This paper demonstrates a new class of bugs that is likely to occur in enterprise OpenFlow deployments. In particular, step-by-step, reactive establishment of paths can cause network-wide inconsistencies or performance- and space-related inefficiencies ...
Canini, Marco   +5 more
core   +4 more sources

Network Anxieties Design Packets

open access: yes, 2017
To explore, reimagine, and intervene within network anxieties—for example, distrust, overstimulation, and creepiness associated with digital privacy and surveillance concerns—we have been experimenting with the design of relatively lighter-weight, smaller-scale, shorter-term, and inexpensive forms we refer to as design packets.
RTD Conference   +2 more
openaire   +2 more sources

Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias   +12 more
wiley   +1 more source

Rateless-Coding-Assisted Multi-Packet Spreading over Mobile Networks

open access: yes, 2014
A novel Rateless-coding-assisted Multi-Packet Relaying (RMPR) protocol is proposed for large-size data spreading in mobile wireless networks. With this lightweight and robust protocol, the packet redundancy is reduced by a factor of $\sqrt n$, while the ...
Dai, Huaiyu   +2 more
core   +1 more source

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

open access: yesMolecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy