Results 131 to 140 of about 152,408 (254)

Labour epidural analgesia and early childhood behavioural outcomes: the moderating role of maternal mental health and pro‐inflammatory cytokines

Anaesthesia, EarlyView.
Summary Introduction Labour epidural analgesia is the most effective method for intrapartum pain relief and is associated with improved maternal outcomes. However, concerns have been raised regarding potential associations between labour epidural analgesia and adverse psycho‐emotional outcomes in children. Evidence from large epidemiological studies is
Sana Asif, Hsing‐Fen Tu, Richard A. White, Birgitta Birgisdottir, Miklos Lipcsey, Martin F. Bjurström, Alkistis Skalkidou   +6 more
wiley   +1 more source

Efficacy and safety of different vasopressor infusions on feto‐maternal outcomes in normotensive patients undergoing caesarean delivery: a systematic review and network meta‐analysis of randomised controlled trials

Anaesthesia, EarlyView.
Summary Introduction Phenylephrine infusion is widely endorsed by guidelines as the preferred prophylactic drug for spinal hypotension in patients undergoing caesarean delivery; however, clinical practice continues to show marked variability in the selection of vasopressor drugs.
Narinder Pal Singh, Jeetinder Kaur Makkar, Bisman Jeet Kaur Khurana, Anuradha Borle, Preet Mohinder Singh   +4 more
wiley   +1 more source

A Classification of Intrinsic Ergodicity for Recognisable Random Substitution Systems. [PDF]

Commun Math Phys
Gohlke P, Mitchell A.
europepmc   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Rethink context engineering using an attention-based architecture. [PDF]

Sci Rep
Yin Y.
europepmc   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Higher-Order Markov Model-Based Analysis of Reinforcement Learning in 6G Mobile Retrial Queueing Systems. [PDF]

Sensors (Basel)
Talbi D, Gal Z.
europepmc   +1 more source

Asymptotic behaviour of iterated function systems and applications to variable length Markov chains

, 2017
The purpose of this thesis is the study of the asymptotic behaviour of iterated function systems (IFS). In a first part, we will introduce the notions related to the study of such systems and we will remind different applications of IFS such as random walks on graphs or aperiodic tilings, random dynamical systems, proteins classification or else q ...
openaire   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

Stochastic Conformance Checking Based on Variable-Length Markov Chains

Information Systems
Emilio Incerto, Andrea Vandin, Sima Sarv Ahrabi   +2 more
openaire   +2 more sources