Results 91 to 100 of about 144,876 (334)

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

Bernstein's inequalities for general Markov chains

open access: yes, 2018
32 pages including ...
Jiang, Bai, Sun, Qiang, Fan, Jianqing
openaire   +2 more sources

Quantitative prediction of intravenous drug interactions caused by cytochromes P450 inhibitors and inducers

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Background Aims Pharmacokinetic interaction studies typically focus on oral administration, but intravenous (IV) administration bypasses intestinal degradation and hepatic first‐pass metabolism, leading to distinct drug–drug interaction (DDI) magnitude. This study aimed to develop a predictive model for DDIs involving IV‐administered drugs.
Vianney Tuloup   +2 more
wiley   +1 more source

Insurance Contracts for Hedging Wind Power Uncertainty

open access: yesMathematics, 2020
This paper presents an insurance contract that the supplier of wind power may subscribe to with an insurance company in order to immunize his/her revenue against the volatility of wind power and prices.
Guglielmo D’Amico   +2 more
doaj   +1 more source

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner   +6 more
wiley   +1 more source

Sustainability Challenges to the Steel Industry in a Developing Country: Sanctions and Security Issues at the Forefront

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad   +2 more
wiley   +1 more source

Marathon: An open source software library for the analysis of Markov-Chain Monte Carlo algorithms

open access: yes, 2016
In this paper, we consider the Markov-Chain Monte Carlo (MCMC) approach for random sampling of combinatorial objects. The running time of such an algorithm depends on the total mixing time of the underlying Markov chain and is unknown in general.
Berger, Annabell, Rechner, Steffen
core   +3 more sources

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

Estimating the spectral gap of a trace-class Markov operator

open access: yes, 2019
The utility of a Markov chain Monte Carlo algorithm is, in large part, determined by the size of the spectral gap of the corresponding Markov operator. However, calculating (and even approximating) the spectral gaps of practical Monte Carlo Markov chains
Hobert, James P.   +2 more
core   +1 more source

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