Results 51 to 60 of about 13,577 (270)

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

British 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, Amina Džidić‐Krivić, Emma Pinjic, Nejra Selak, Kanita Omerbasic, Alexandar Chupin, Andrej Belancic, Almir Fajkic   +7 more
wiley   +1 more source

Non-Stationary Semi-Markov Decision Processes on a Finite Horizon [PDF]

, 2012
We introduce and study a class of non-stationary semi-Markov decision processes on a finite horizon. By constructing an equivalent Markov decision process, we establish the existence of a piecewise open loop relaxed control which is optimal for the ...
Ghosh, Mrinal K, Saha, Subhamay
core   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Nonstationary Continuous Time Markov Decision Processes in a Semi-Markov Environment with Discounted Criterion [PDF]

, 1995
This paper deals with the nonstationary continuous time Markov decision process in a semi-Markov environment with discounted criterion. The model can describe a system that itself can be modeled by a countable state nonstationary continuous time Markov ...
Hu, Q.Y.
core   +1 more source

On the importance of including both sexes in animal studies – insights from home‐cage monitoring

Biological Reviews, EarlyView.
ABSTRACT A review of behavioural studies using home‐cage monitoring (HCM) systems revealed that over 61% of studies used only male subjects, with only 24% including both sexes, despite evidence of substantial behavioural differences between male and female animals. This bias could influence the outcomes of biomedical research.
Maša Čater, Adam Dušek, Aleksandra Bartelik, Silvia Mandillo, Elisabetta Golini, Mara Rigamonti, Rasneer Sonia Bains, Hamish Forrest, Marion Rivalan, Melissa Long, Anna Kiryk, Lars Lewejohann, Nuno Henrique Franco   +12 more
wiley   +1 more source

Modelling the purchase dynamics of insurance customers using Markov chains [PDF]

, 2005
This paper considers how various types of Markov chains can be used to help forecast the purchase behaviour of customers. The models are used in a case study of the purchase behaviour of the customers of a major insurance company.
Thomas, Lyn C., Thomas, Stephen, Bozzetto, Jean-Francois, Tang, Leilei   +3 more
core  

A Systematic Review of Cyber Risk Analysis Approaches for Wind Power Plants

Energies
Wind power plants (WPPs), as large-scale cyber–physical systems (CPSs), have become essential to renewable energy generation but are increasingly exposed to cyber threats.
Muhammad Arsal, Tamer Kamel, Hafizul Asad, Asiya Khan   +3 more
doaj   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 42, NO. 12, DECEMBER 1997 1663 The Policy Iteration Algorithm for Average Reward [PDF]

, 2007
The average cost optimal control problem is addressed for Markov decision processes with unbounded cost. It is found that the policy iteration algorithm generates a sequence of policies which are (a strong stability condition), where c is the cost ...
Markov Decision Processes
core  

Reweighting Scheme for the Calculation of Grand‐Canonical Expectation Values in Quantum Monte Carlo Simulations With a Fermion Sign Problem

Contributions to Plasma Physics, EarlyView.
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann, Jan Vorberger, Tobias Dornheim   +2 more
wiley   +1 more source