Results 51 to 60 of about 483,846 (289)
Possible singlet and triplet superconductivity on honeycomb lattice
, 2016 We study the possible superconducting pairing symmetry mediated by spin and charge fluctuations on the honeycomb lattice using the extended Hubbard model and the random-phase-approximation method. From $2\%$ to $20\%$ doping levels, a spin-singlet $d_{x^{
Li, Jian-Xin +4 more
core +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
One-dimensional fluids with second nearest-neighbor interactions [PDF]
, 2017 As is well known, one-dimensional systems with interactions restricted to first nearest neighbors admit a full analytically exact statistical-mechanical solution.
Brian Walenz (520884) +18 more
core +2 more sources
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
ALGORITMA SHARED NEAREST NEIGHBOR BERBASIS DATA SHRINKING
JUTI: Jurnal Ilmiah Teknologi Informasi, 2008 Shared Nearest Neighbor (SNN) algorithm constructs a neighbor graph that uses similarity between data points based on amount of nearest neighbor which shared together. Cluster obtained from representative points that are selected from the neighbor graph.
Rifki Fahrial Zainal, Arif Djunaidy
doaj +1 more source
Peak Density Clustering Algorithm Combining Natural and Shared Nearest Neighbor
Jisuanji kexue yu tansuo, 2021 The clustering by fast search and find of density peaks (DPC) has the advantages of no iteration and fewer parameters, but it still has some shortcomings: the need to manually select the cutoff distance parameter and the processing effect is not good on ...
BAI Exiang, LUO Ke, LUO Xiao
doaj +1 more source
k-RNN: Extending NN-heuristics for the TSP
, 2018 In this paper we present an extension of existing Nearest-Neighbor heuristics to an algorithm called k-Repetitive-Nearest-Neighbor. The idea is to start with a tour of k nodes and then perform a Nearest-Neighbor search from there on. After doing this for
Chauhan, Alok +3 more
core +1 more source
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 +11 more
wiley +1 more source
Semi-supervised inverted file index approach for approximate nearest neighbor search
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2023 This paper introduces a novel modification to the Inverted File (IVF) index approach for approximate nearest neighbor search, incorporating supervised learning techniques to enhance the efficacy of intermediate clustering and achieve more balanced ...
Anton Bazdyrev
doaj +1 more source
Nearest Neighbor Dirichlet Mixtures
, 2020 There is a rich literature on Bayesian methods for density estimation, which characterize the unknown density as a mixture of kernels. Such methods have advantages in terms of providing uncertainty quantification in estimation, while being adaptive to a rich variety of densities.
Chattopadhyay, Shounak +2 more
openaire +3 more sources