Results 201 to 210 of about 2,235,408 (269)
Synergistic depassivation of ZVI intensifies persulfate activation for high-efficiency vanadium leaching in a sono‑Fenton‑like system. [PDF]
Li H +9 more
europepmc +1 more source
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks +4 more
wiley +1 more source
Design guide for synthetic small regulatory RNAs for high-efficiency gene knockdown in bacteria. [PDF]
Ren J, Kim Y, Nam HJ, Lee HM, Na D.
europepmc +1 more source
A Compact High-Efficiency Tri-Band CPW-Fed Millimeter-Wave Dielectric Patch Antenna for Wireless Systems. [PDF]
Albarakati AA, Khamas SK.
europepmc +1 more source
Self-Healing Ionogel Dual-Network Enables Synergistic Defect Passivation and Strain Relief for High-Efficiency Robust Perovskite Photovoltaics. [PDF]
Wu W +12 more
europepmc +1 more source
Surface Passivation and Luminescence Mechanisms in InP Quantum Dots Toward High-Efficiency and Stable QLED Emission. [PDF]
Saleh KA +8 more
europepmc +1 more source
Uncovering functional variants using a high-efficiency PE3-based screening platform. [PDF]
Huang S +11 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
We present a computational approach to high-order matching of data sets in IR(d). Those are matchings based on data affinity measures that score the matching of more than two pairs of points at a time. High-order affinities are represented by tensors and the matching is then given by a rank-one approximation of the affinity tensor and a corresponding ...
Michael Chertok, Yosi Keller
openaire +3 more sources
We present a computational approach to high-order matching of data sets in IR(d). Those are matchings based on data affinity measures that score the matching of more than two pairs of points at a time. High-order affinities are represented by tensors and the matching is then given by a rank-one approximation of the affinity tensor and a corresponding ...
Michael Chertok, Yosi Keller
openaire +3 more sources

