Results 51 to 60 of about 149,503 (282)
Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu +5 more
wiley +1 more source
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas from compressed sensing may be employed to exploit this sparsity in order to
Diaz, Paul +2 more
core +1 more source
Adaptive bluetooth indoor positioning system based on greedy strategy
Abstract In order to solve the problem that current bluetooth indoor positioning system has low positioning accuracy in dynamic environment and can’t unable to adapt to dealing with complex situation of anchor circle, this paper proposes an adaptive bluetooth indoor positioning system based on greedy strategy.
Xin Ding, Yawen Dai
openaire +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Constrained Backtracking Matching Pursuit Algorithm for Image Reconstruction in Compressed Sensing
Image reconstruction based on sparse constraints is an important research topic in compressed sensing. Sparsity adaptive matching pursuit (SAMP) is a greedy pursuit reconstruction algorithm, which reconstructs signals without prior information of the ...
Xue Bi +5 more
doaj +1 more source
Finding Minima in Complex Landscapes: Annealed, Greedy and Reluctant Algorithms
We consider optimization problems for complex systems in which the cost function has a multivalleyed landscape. We introduce a new class of dynamical algorithms which, using a suitable annealing procedure coupled with a balanced greedy-reluctant strategy
Contucci, Pierluigi +3 more
core +3 more sources
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Neuropsychiatric Symptoms Mimicking Dementia in a Patient Treated With Imatinib
ABSTRACT Tyrosine kinase inhibitors are the cornerstone of chronic myeloid leukemia treatment. Newer agents have more potency and a broader spectrum of action, but also a higher potential for neuropsychiatric side effects. We present a case of a patient on imatinib who developed progressive cognitive, mood, and behavioral alterations.
Ashley Jones +3 more
wiley +1 more source
Research on Path Planning Based on Multi-Dimensional Optimized RRT Algorithm
The Rapidly Exploring Random Tree (RRT) is widely employed in the field of intelligent vehicles, but traditional RRT has issues like inefficient blind expansion, tortuous/discontinuous paths, and slow convergence.
Jinbo Wang +4 more
doaj +1 more source
Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models
In the past few decades, a lot of optimization methods have been applied in estimating the parameter of photovoltaic (PV) models and obtained better results, but these methods still have some deficiencies, such as higher time complexity and poor ...
Yingjie Song +5 more
doaj +1 more source

