Results 91 to 100 of about 18,734 (258)

Semi-Markov model for simulating MOOC students. [PDF]

open access: yes, 2016
Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments.
Faucon, Louis   +2 more
openaire   +1 more source

Mazus dabieshanensis sp. nov. (Mazaceae) from eastern China

open access: yesNordic Journal of Botany, EarlyView.
Mazus dabieshanensis, a newly described species endemic to the Dabieshan Mountains in eastern China, is illustrated and described. Molecular phylogenetic analyses based on nuclear and chloroplast DNA sequences consistently demonstrate that this new species forms a stable clade with other Mazus species characterized by a pubescent ovary. Morphologically,
Rui Tong   +3 more
wiley   +1 more source

The effects of zoning methods on forecasting of the next earthquake occurrences, according to semi-Markov models

open access: yesAnnals of Geophysics, 2010
Earthquakes are natural phenomena that can be viewed in three dimensions: time, space and magnitude. Earthquakes can be investigated not only physically, but also mathematically.
Ramin Sadeghian
doaj   +1 more source

Bridging Human and Plant Adaptations for Climate Resilience

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Climate change is transforming agriculture through both gradual shifts and increasingly unpredictable extremes, challenging farmers' ability to protect crops and livelihoods. This study brings together farmer experiences and plant adaptation strategies to explore how people and plants respond to similar climate pressures.
Nicola Favretto   +3 more
wiley   +1 more source

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre   +5 more
wiley   +1 more source

Stroke to Dementia Associated with Environmental Risks-A Semi-Markov Model. [PDF]

open access: yesInt J Environ Res Public Health, 2020
Wang KJ, Lee CM, Hu GC, Wang KM.
europepmc   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou   +4 more
wiley   +1 more source

Stochastic Optimal Control of Averaged SDDE with Semi-Markov Switching and with Application in Economics

open access: yesMathematics
This paper is devoted to the study of stochastic optimal control of averaged stochastic differential delay equations (SDDEs) with semi-Markov switchings and their applications in economics.
Mariya Svishchuk, Anatoliy V. Swishchuk
doaj   +1 more source

Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. [PDF]

open access: yesPhysiol Meas, 2020
Katebi N   +4 more
europepmc   +1 more source

Brown–Proschan Repair Policy for Repairable Systems Using the Discrete Weibull Failure Distribution and Markov Chains

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT A repairable system operates under a maintenance strategy involving scheduled preventive maintenance (PM) and corrective repair actions following failures. This study develops an exact analytical methodology using Markov chains with discrete states and time to calculate the expected number of failures E[N(t)]$\mathop {\mathbb {E}}[N(t)]$ under
Danilo G. O. Valadares   +3 more
wiley   +1 more source

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