Results 11 to 20 of about 190,317 (312)
Exploratory search during directed navigation in C. elegans and Drosophila larva
Many organisms—from bacteria to nematodes to insect larvae—navigate their environments by biasing random movements. In these organisms, navigation in isotropic environments can be characterized as an essentially diffusive and undirected process.
Mason Klein +5 more
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Using Multi-state Markov models to predict the probability of borrowers’ default [PDF]
Introduction. After the crises, lenders realized the importance of assessing the risk of default on loan portfolios in various economic conditions. Modeling of credit risk assessment occurs mainly using internal ratings of banks based on probabilistic ...
Balash, Vladimir A. +2 more
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Objective: Adding selexipag to the combined treatment of endothelin receptor antagonists (ERA) and phosphodiesterase 5 inhibitor (PDE5i) reduces the risk of clinical worsening events in patients with pulmonary arterial hypertension (PAH) but at a ...
Wenxing Dong +8 more
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Cost–effectiveness of overactive bladder treatments from a US commercial and payer perspective
Aim: The cost–effectiveness of treatment options (anticholinergics, β3-adrenoceptor agonists, onabotulinumtoxinA, sacral nerve stimulation and percutaneous tibial stimulation [the latter two including new rechargeable neurostimulators]) for the ...
Brian Murray +8 more
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Hierarchical Model Predictive Control for Hydraulic Hybrid Powertrain of a Construction Vehicle
Hybrid hydraulic technology has the advantages of high-power density and low price and shows good adaptability in construction machinery. A complex hybrid powertrain architecture requires optimization and management of power demand distribution and an ...
Zhong Wang, Xiaohong Jiao
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Markov random fields can encode complex probabilistic relationships involving multiple variables and admit efficient procedures for probabilistic inference. However, from a knowledge engineering point of view, these models suffer from a serious limitation.
openaire +3 more sources
A Novel Method for Decoding Any High-Order Hidden Markov Model
This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar’s transformation. Next, the optimal state sequence of
Fei Ye, Yifei Wang
doaj +1 more source
Enhancing Software-Defined Networking (SDN) Resilience against Cyberattacks: A Markov Model-Based Approach [PDF]
Software-Defined Network (SDN) introduces centralized network control via the OpenFlow protocol, enhancing network management, traffic routing, and security policy enforcement.
Ahmad Jalili
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Value-based approach to blood pressure telemonitoring and remote counseling in hypertensive patients
Purpose Blood pressure telemonitoring and remote counselling (BPTM) improves blood pressure (BP) control in patients with hypertension (HTN). Studies assessing the efficacy of BPTM from a value-based perspective are lacking.
Mikhail V. Ionov +7 more
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A method to calculate the number of dynamic HDFS copies based on file access popularity
HDFS heterogeneous clusters usually have multiple storage media at the same time. How to efficiently read and write file copies and reasonably use various storage media is a problem to be solved. Dynamically adjusting the number of copies is important in
Xi-yue Cao +3 more
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