Results 171 to 180 of about 14,128,135 (294)

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

Canonical Hidden Markov Model Networks for studying M/EEG. [PDF]

Imaging Neurosci (Camb)
Gohil C, Huang R, Higgins C, van Es MWJ, Quinn AJ, Vidaurre D, Woolrich MW.   +6 more
europepmc   +1 more source

Species traits mediate terrestrial mammal density responses to human impacts

Ecography, EarlyView.
Human activities are reshaping ecosystems, but their effects on species population density remain poorly understood. Most studies focus on species presence–absence, thus limiting insight into how anthropogenic pressures affect population density. Emerging evidence suggests that responses of natural populations to human disturbance are highly variable ...
Luca Santini, Diana E. Bowler, Roberto Salguero‐Gómez, Inês S. Martins, Franziska Schrodt, Romain Frelat, Mickael Hedde, Naia Morueta‐Holme, Pierre Gaüzère, Cyrille Violle, Romain Goury, Joaquim Estopinan, Miriam Beck, Wilfried Thuiller   +13 more
wiley   +1 more source

Hidden Markov model analysis of fluorescence blinking in fluorescently labeled DNA. [PDF]

Sci Rep
Furuta T, Fan S, Takada T, Kondo Y, Fujitsuka M, Maruyama A, Kawai K, Nakamura K.   +7 more
europepmc   +1 more source

Predicting connectivity from movement trajectories and step selection

Ecography, EarlyView.
Predicting and mapping connectivity are essential for ecology and conservation in the face of environmental change. Yet connectivity modeling is challenging because it requires understanding how organisms successfully move across complex landscapes.
Robert J. Fletcher Jr, Maria Iezzi, Andrew Marx, David Onorato, Caroline Poli, Jorge Sefair, Brian J. Smith, Madelon van der Kerk, Denis Valle   +8 more
wiley   +1 more source

Modeling Peak Expiratory Flow in Patients With Asthma and Quantifying Treatment Effects Using a Mixed-Effects Hidden Markov Model. [PDF]

CPT Pharmacometrics Syst Pharmacol
Jakobsson L, Baaz M, Leander J, Gerlee P, Jirstrand M.   +4 more
europepmc   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Cost-effectiveness and budget impact of Luspatercept in Thai adults with transfusion-dependent beta-thalassaemia: a multi-state Markov model based on national claims data. [PDF]

J Pharm Policy Pract
Kongpakwattana K, Wong P, Teawtrakul N, Charoenkwan P, Upakdee N.   +4 more
europepmc   +1 more source

Euromaidan and Ukrainian Subjective Well‐Being

European Journal of Social Psychology, EarlyView.
ABSTRACT The 2013–2014 Euromaidan in Ukraine was the largest series of pro‐European protests in history. Peaceful civilian protests were met with state violence, resulting in widespread civil unrest, over 100 deaths, and nearly 2000 injuries. The Russo‐Ukrainian War broke out shortly after. We examined the immediate and long‐term changes in Ukrainians’
Aidan Campbell, Elizabeth W. Chan, Kenith Chan, Daniel J. Chiacchia, Ashley K. Dhillon, McLean Morgan, Evi Myftaraj, Haeyoung Gideon Park, Vadym Vasiutynskyi, Felix Cheung   +9 more
wiley   +1 more source

Correction: Predicting nodal metastasis progression of oral tongue cancer using a hidden Markov model in MRI. [PDF]

Front Oncol
Gang Q, Feng J, Kauczor HU, Zhang K.
europepmc   +1 more source