Results 51 to 60 of about 151,821 (357)
Energy-efficient strategy for data migration and merging in Storm
Storm is suffering the problems of high energy consumption but low efficiency.Aiming at this problem,the resource constraint model,the optimal principle of data reorganization in executors and node voltage reduction principle were proposed based on the ...
Yonglin PU +5 more
doaj +2 more sources
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
A Constrained Sparse Algorithm for Nonnegative Matrix Factorization
:Aiming at the lack of sparseness of factorization matrix in the nonnegative matrix factorization (NMF) algorithm,a new constrained NMF algorithm was proposed.A sparseness constraint was added to the original nonnegative matrix factorization (NMF ...
李臣明, 张师明, 李昌利
doaj
Low-Complexity Sliding Window Block Decoding Using Bit-Flipping for OVFDM Systems
Overlapped frequency division multiplexing (OVFDM) systems can obtain high spectral efficiency (SE), which is proportional to the constraint length. However, high decoding complexity imposes the main challenge on OVFDM systems.
Hongtao Zhang +3 more
doaj +1 more source
Robust Secure Resource Allocation for RIS-Aided SWIPT Communication Systems
Aiming at the influence of channel uncertainty, user information leakage and harvested energy improvement, this paper proposes a robust resource allocation algorithm for reconfigurable intelligent reflector (RIS) multiple-input single-output systems ...
Bencheng Yu, Zihui Ren, Shoufeng Tang
doaj +1 more source
A New Multi-Resource cumulatives Constraint with Negative Heights
This paper presents a new cumulatives constraint which generalizes the original cumulative constraint in different ways. The two most important aspects consist in permitting multiple cumulative resources as well as negative heights for the resource ...
Nicolas Beldiceanu +4 more
core +1 more source
Algorithms for the Ridesharing with Profit Constraint Problem
Mobility-on-demand (MoD) ridesharing is a promising way to improve the occupancy rate of personal vehicles and reduce traffic congestion and emissions. Maximizing the number of passengers served and maximizing a profit target are major optimization goals in MoD ridesharing.
Qian-Ping Gu, Jiajian Leo Liang
openaire +2 more sources
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
Approximation algorithms for channel assignment with constraints
Cellular networks are generally modeled as node-weighted graphs, where the nodes represent cells and the edges represent the possibility of radio interference. An algorithm for the channel assignment problem must assign as many channels as the weight indicates to every node, such that any two channels assigned to the same node satisfy the co-site ...
Jeannette C. M. Janssen, Lata Narayanan
openaire +2 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source

