Results 111 to 120 of about 7,836,569 (290)
Automated Data‐Efficient Symbolic Regression for Interpretable Bioprocess Model Development
Biotechnology and Bioengineering, EarlyView.ABSTRACT Bioprocessing is central to the sustainable manufacture of pharmaceuticals, food products, and renewable chemicals. Consequently, developing high‐fidelity kinetic models to facilitate accurate process prediction, optimisation, and scale‐up is a top research priority.
Luca Riezzo +3 more
wiley +1 more source
BEST LINEAR UNBIASED SCALAR (BLUS) RESIDUAL PADA REGRESI LINIER BERGANDA [PDF]
, 2001 THIS PAPER CONTAINS ABOUT HOW TO USED OF BEST LINEAR UNBIASED SCALED (BLUS) METHOD, WHICH MAKES UNCORRELATED TO MULTIPLE LINEAR ...
RENNY ANGGRAENI, 089511307
core +1 more source
Biological Reviews, EarlyView.ABSTRACT The environmental conditions organisms experience during early development can have powerful and sustained effects on morphology, physiology, behaviour, and performance. Such developmental effects can influence reproductive success, survival, and life‐history strategies and can be transmitted across generations (i.e.
Ondi L. Crino +7 more
wiley +1 more source
Discrete-Time Linear Filtering in Arbitrary Noise
, 2008 The Kalman filter is a recursive Best Linear Unbiased Estimator (BLUE) for a linear dynamic system with uncorrelated white process and measurement noises.
Rong Li University +2 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates how artificial intelligence (AI) can support sustainable development strategies in OECD countries, particularly in achieving the United Nations Sustainable Development Goals (SDGs). The study contributes to the literature by investigating the role of AI as a transformative enabler of sustainable business strategies ...
Muskan Sahu +2 more
wiley +1 more source
Ekonometria, 2020 The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
doaj
ESG Controversies in Global Firms: A Black Mark?
Business 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
Journal of Statistical Theory and Applications (JSTA)Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine ...
Areej M. AL-Zaydi
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT As global environmental concerns intensify, firms are increasingly expected to embed environmental responsibility into their core strategies. However, uncertainty remains over whether eco‐friendly initiatives are economically rewarded, reflecting ambiguity in consumers' true environmental preferences.
Kimitaka Nishitani +6 more
wiley +1 more source
Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry
Business Strategy and the Environment, EarlyView.ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial ...
Honglei Wang +5 more
wiley +1 more source