Results 121 to 130 of about 2,593,043 (289)

Fly Ash-Added, Seawater-Mixed Pervious Concrete: Compressive Strength, Permeability, and Phosphorus Removal. [PDF]

Materials (Basel), 2022
Hwang S, Yeon JH.
europepmc   +1 more source

Technological Turbulence, Circular Economy Practices, and Digitalization as Determinants of Innovative Culture in High‐Growth Firms

Business Strategy and the Environment, EarlyView.
ABSTRACT In a business environment characterized by technological turbulence and an increasing societal demand for greater sustainability, companies seeking to enhance their growth are compelled to foster organizational cultures that promote continuous innovation.
José Bocoya‐Maline, Salustiano Martínez‐Fierro, José Aurelio Medina‐Garrido   +2 more
wiley   +1 more source

Transition Zone Enhancement with Waste Limestone Powder as a Reason for Concrete Compressive Strength Increase. [PDF]

Materials (Basel), 2021
Kępniak M, Woyciechowski P, Franus W.
europepmc   +1 more source

Determination of the Compressive Strength of Concrete Using Artificial Neural Network [PDF]

The objective of the work is to estimate the compressive strength of concrete by means of the application of Artificial Neural Networks (ANNs). A database is created with design variables of mixtures of 175, 210, and 280 kgf/cm², which are collected from
Quiñones Huatangari, Lenin
core   +1 more source

Evaluation of Governance, Environmental, Socioeconomic, and Financial Dimensions Through an Integrated Multicriteria Decision‐Making Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT Sustainable governance depends on the joint functioning of institutional quality, fiscal discipline, environmental performance, and socioeconomic inclusion. However, many composite indicators rely on subjective weighting schemes and leave the structural role of governance underspecified.
Ömer Faruk Rençber, Eda Zorkirişçi, Abdulkadir Aksoy, Zehra Çelik   +3 more
wiley   +1 more source

Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms. [PDF]

Polymers (Basel), 2021
Ahmad A, Ahmad W, Chaiyasarn K, Ostrowski KA, Aslam F, Zajdel P, Joyklad P.   +6 more
europepmc   +1 more source

Bounded Rationality and Greenwashing: An Information‐Architecture Signalling Framework for Verification Frictions and the Disclosure–Performance Gap

Business Strategy and the Environment, EarlyView.
ABSTRACT Green claims pervade corporate communications, yet their informational value varies because stakeholders process them under bounded rationality—scarce attention and costly verification. This paper develops a conceptual signalling framework in which three parameters—signal diagnosticity (D), verification frictions (V) and available attention (A)
Luca Lancini
wiley   +1 more source

Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques. [PDF]

Materials (Basel), 2021
Xu Y, Ahmad W, Ahmad A, Ostrowski KA, Dudek M, Aslam F, Joyklad P.   +6 more
europepmc   +1 more source

Estimating Distribution of Concrete Strength Using Quantile Regression Neural Network

, 2017
This paper is aimed at demonstrating the possibilities of adapting Quantile Regression Neural Network (QRNN) to estimate the distribution of compressive strength of high performance concrete (HPC).
Yeh, I-Cheng
core   +1 more source

Precision Synthesis of Biomass‐Derived Graphene‐Like Carbon With Tailored Crystallinity via Controlled Flash Joule Heating

Carbon Energy, EarlyView.
A dual‐phase flash Joule heating strategy converts pre‐pyrolyzed biomass into structurally tunable carbon materials from waste feedstocks. By decoupling current‐driven thermodynamic input and duration‐dependent kinetic relaxation, the process maps the transition from amorphous carbon to few‐layer turbostratic graphene and turbostratic nanographite ...
Jiawen Zeng, Yichen Dong, Niyuan Zhu, Danchen Zhu, Hao Jiang, Yingquan Chen, Tong Han, Yonggang Yao, Hanping Chen, Haiping Yang   +9 more
wiley   +1 more source