Results 71 to 80 of about 3,223,623 (259)

Efficacy, safety and cost‐effectiveness of CAR‐T therapy

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
CAR T‐cells demonstrate high efficacy in blood cancers, including ALL, MM and DLBCL. Innovations target solid tumours despite challenges such as antigen escape. Combination therapies enhance the delivery and infiltration of CAR T cells. Toxicity, cost and resistance remain major barriers to clinical use.
Emina Karahmet Sher   +7 more
wiley   +1 more source

The operation optimization of multipurpose reservoir between ARIMA, continuous, and Markov Chain models on Jatigede reservoir, Indonesia

open access: yesWater Cycle
The critical challenge in reservoir management is optimizing reservoir volume by balancing inflow and outflow discharges. Achieving this balance is essential not only to meet downstream water demands but also to preserve the reservoir's ecological ...
Merri Jayanti   +6 more
doaj   +1 more source

Breaking point: Identifying the factors that predict suspension from school

open access: yesBritish Educational Research Journal, EarlyView.
Abstract School suspensions are associated with adverse educational and psychosocial outcomes, yet little is known about how structural disadvantage, relational factors, health behaviours, well‐being indicators and school‐level factors jointly predict suspension risk in England.
Stephanie Cahill   +5 more
wiley   +1 more source

Hastings-Metropolis algorithm on Markov chains for small-probability estimation***

open access: yesESAIM: Proceedings and Surveys, 2015
Shielding studies in neutron transport, with Monte Carlo codes, yield challenging problems of small-probability estimation. The particularity of these studies is that the small probability to estimate is formulated in terms of the ...
Bachoc Francois   +2 more
doaj   +1 more source

On Bayesian Estimation in Mixed Linear Models Using the Gibbs Sampler [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2008
This paper tackles the estimation of parameters of linear mixed random effect one–classification model by Bayesian technique which includes Gibbs sampling. Gibbs sampling is a special case of Monte Carlo Method which uses Markov Chain and so called MCMC (
doaj   +1 more source

ESG Controversies in Global Firms: A Black Mark?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite increasing attention paid by companies to sustainability, there is still evidence of environmental, social and governance (commonly referred to as ESG) scandals. As research on this topic is scant, this paper aims to analyse the impact of ESG controversies on firms' sustainability practices, that is, ESG policies, as well as ...
Beatrice Bais, Guido Orzes, Marco Sartor
wiley   +1 more source

Quasi-exact Approximation of Hidden Markov Chain Filters [PDF]

open access: yes
This paper studies the application of exact simulation methods for multi-dimensional multiplicative noise stochastic differential equations to filtering.
Eckhard Platen, Renata Rendek
core  

Speculative moves : multithreading Markov Chain Monte Carlo programs [PDF]

open access: yes, 2008
The increasing availability of multi-core and multi-processor architectures provides new opportunities for improving the performance of many computer simulations.
Bhalerao, Abhir   +2 more
core   +1 more source

Orchestrating Ecosystem Resources for Sustainability: Coopetition, Digital Transformation, and Disruptive Sustainable Innovation

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As sustainability transitions accelerate, firms increasingly engage in innovation ecosystems to pursue disruptive sustainable innovation (DSI). Nevertheless, empirical understanding regarding how innovation ecosystem coopetition—simultaneous cooperation and competition among interdependent actors—translates into sustainability‐oriented ...
Jin‐Sup Jung, Min‐Jae Lee
wiley   +1 more source

DESIGN-ADAPTIVE POINTWISE NONPARAMETRIC REGRESSION ESTIMATION FOR RECURRENT MARKOV TIME SERIES [PDF]

open access: yes
A general framework is proposed for (auto)regression nonparametric estimation of recurrent time series in a class of Hilbert Markov processes with a Lipschitz conditional mean.
Guerre
core  

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