Results 81 to 90 of about 13,786 (251)

Recombinant Monoclonal Antibodies for Detecting the Tubulin Post‐Translational Modifications Glutamylation and Lysine‐40 Acetylation

Cytoskeleton, EarlyView.
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius, Ezekiel C. Thomas, Erik H. Collet, Erin Jenson, Chad G. Pearson, Ryoma Ohi, Kristen J. Verhey   +6 more
wiley   +1 more source

Assessing the accuracy and stability of variable importance in species distribution modelling algorithms through sample perturbations

Ecography, EarlyView.
Variable importance derived from species distribution modelling (SDM) is widely used to identify key environmental drivers of species distributions. However, the reliability of these inferences has rarely been systematically evaluated, particularly with respect to their sensitivity to individual occurrences.
He Wu, Zhaoning Wu, Yunzhi Liu, Wenfang Zhang, Jiechen Wang   +4 more
wiley   +1 more source

From patterns to predictions: a framework for the spatial epidemiology of wildlife diseases

Ecography, EarlyView.
Wildlife diseases pose a significant threat to biodiversity conservation, public health, and livestock. Spatial epidemiology provides a robust framework to understand disease dynamics and guide policy and management. However, the rapid proliferation of spatial methods has largely occurred in isolation across disciplines, leaving the field without a ...
Cesar Herraiz, Pelayo Acevedo
wiley   +1 more source

Multi-Objective Optimal Power Flow Based on Hybrid Firefly-Bat Algorithm and Constraints- Prior Object-Fuzzy Sorting Strategy

IEEE Access, 2019
In this paper, a novel hybrid firefly-bat algorithm with constraints-prior object-fuzzy sorting strategy (HFBA-COFS) is put forward to solve the strictly-constrained multi-objective optimal power flow (MOOPF) problems.
Gonggui Chen, Jie Qian, Zhizhong Zhang, Zhi Sun   +3 more
doaj   +1 more source

Battery Degradation Reduction in Flywheel–Battery Hybrid Energy Storage Using SSA‐Optimized Fuzzy‐PI Control

Energy Science &Engineering, EarlyView.
SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han, Xiping Ma, He Sheng, Qibin Zhu, Ke Wang, Chenyu Wu   +5 more
wiley   +1 more source

Feature selection in intrusion detection systems: a new hybrid fusion of Bat algorithm and Residue Number System

Journal of Information and Telecommunication
This research introduces innovative approaches to enhance intrusion detection systems (IDSs) by addressing critical challenges in existing methods. Various machine-learning techniques, including nature-inspired metaheuristics, Bayesian algorithms, and ...
Yakub Kayode Saheed, Temitope Olubanjo Kehinde, Mustafa Ayobami Raji, Usman Ahmad Baba   +3 more
doaj   +1 more source

Energy-Aware Task Scheduling Using Hybrid Firefly-BAT (FFABAT) in Big Data

Cybernetics and Information Technologies, 2018
In modern times there is an increasing trend of applications for handling Big data. However, negotiating with the concepts of the Big data is an extremely difficult issue today. The MapReduce framework has been in focus recently for serious consideration.
Senthilkumar M.
doaj   +1 more source

A Comprehensive Review of Fault‐Current Limiter Technologies for Smart and Resilient Power Systems

Energy Science &Engineering, EarlyView.
This review compares superconducting, solid‐state, and hybrid fault‐current limiters (FCLs) for modern alternating current, direct current, and hybrid grids. It shows that optimal FCL selection depends on fault characteristics, network configuration, voltage level, protection coordination, and resilience requirements rather than on a universally ...
Abdelrahman Farghly, Eslam Essam, Hilmy Awad, Samia Abdelfatah, Walid Issa, Abdallah M. Hamada   +5 more
wiley   +1 more source

Beta Forecasting With Realized Beta Estimators and Machine Learning Algorithms

Journal of Forecasting, EarlyView.
ABSTRACT This paper applies machine learning algorithms to the modeling of realized betas for the purposes of forecasting stock systematic risk. Higher levels of beta forecast accuracy are demonstrated, relative to other studies in the literature. These improvements are also highly significant, both statistically and economically.
Bao Doan, Dulani Jayasuriya, John B. Lee, Jonathan J. Reeves   +3 more
wiley   +1 more source

Convolutive blind separation algorithm based on complex Givens matrix and bat optimization

Tongxin xuebao, 2016
For the limitations such as many unknown parameters, the separation accuracy was easily influenced by initial value of separation matrix in traditional convolutive blind separation, a kind of frequency method based on complex Givens matrix and bat ...
Zhi-cheng JIA, Da-wei HAN, Lei CHEN, Yan-ju GUO, Hao-da XU   +4 more
doaj   +2 more sources