Results 91 to 100 of about 7,454,542 (339)

An Improved QSPR Modeling of Hydrocarbon Dipole Moments

The Scientific World Journal, 2004
Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the ...
Igor V. Nesterov, Andrey A. Toropov, Pablo R. Duchowicz, Eduardo A. Castro   +3 more
doaj   +1 more source

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

Molecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff, Manuela Moritz, Dennis Eggert, Anna Worthmann, Joerg Heeren, Henrike Zech, Till S. Clauditz, Waldemar Wilczak, Hartmut Schlüter, Christian S. Betz, Arne Böttcher, Jan Hahn   +11 more
wiley   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Advancements in Large-Scale Image and Text Representation Learning: A Comprehensive Review and Outlook

IEEE Access
Large-scale image and text representation learning is critical in determining the performance of multimodal tasks involving images and text, such as visual question answering and image captioning.
Yang Qin, Shuxue Ding, Huiming Xie
doaj   +1 more source

Algorithmic bias: Senses, sources, solutions

, 2021
Sina Fazelpour, David Danks
openalex   +1 more source

Mixed precision algorithms in numerical linear algebra [PDF]

, 2022
Nicholas J. Higham, Théo Mary
openalex   +1 more source

Transcriptional regulation of neuropeptide receptors underlies context‐dependent adaptation in Drosophila melanogaster

FEBS Open Bio, EarlyView.
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu, Yanan Wei, Zekun Wu, Tianmu Zhang, DoHoon Lee, Hadi Najafi, Woo Jae Kim   +6 more
wiley   +1 more source

Selective Random CDD Enhanced Joint Cooperative Relay and HARQ for Delay-Tolerant Vehicular Communications

International Journal of Distributed Sensor Networks, 2015
We propose a selective random cyclic-delay diversity (CDD) enhanced joint cooperative relay and hybrid automatic repeat request (HARQ) scheme for two-hop vehicular communications.
Gang Wu, Qinghe Du, Kun Hua
doaj   +1 more source

Holographic algorithms [PDF]

Current Developments in Mathematics, 2005
Leslie Valiant recently proposed a theory of holo- graphic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algorithms for the same problems. The methodology uses Pfaffians and (planar) perfect matchings as basic computational primitives, and attempts to create exponential ...
openaire   +2 more sources

A unified model for Duchenne muscular dystrophy gene involvement in cancer: context‐dependent tumour suppression and oncogenicity

FEBS Open Bio, EarlyView.
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado, Leanne Jones, Sonika Divakar, Michael Naidoo, Karen Anthony   +4 more
wiley   +1 more source