Results 141 to 150 of about 359,967 (298)

Breaking Down Online and Digital Reporting Practices: A Research Map From Websites to Social Media

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper adopts a mixed research methodology, integrating bibliometric and systematic literature review (SLR) tools, to systematise the academic contributions and the different bodies of knowledge generated over the last decades on online and digital reporting practices, ranging from websites to social media.
Giuseppe Nicolò   +3 more
wiley   +1 more source

A New Strategy to Design Reconfigurable Rivest–Shamir–Adleman (RSA) Accelerators

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
A reconfigurable FPGA‐based RSA accelerator is proposed using compression‐based modular multipliers combined with pseudomoduli arithmetic. The approach maps modular exponentiation to low‐cost arithmetic domains and applies a correction stage, achieving significant improvements in delay, operating frequency, and delay–area efficiency compared with ...
Augusto C. B. Vassoler   +4 more
wiley   +1 more source

Effect of Reaction Time and Temperature on the Impurity Profile of Amphetamine in the Leuckart Method

open access: yesDrug Testing and Analysis, EarlyView.
This study investigates the effect of the reaction temperature (step 1) and reaction time (step 1 and 2) on the conversion efficiency and impurity profile of amphetamine synthesized via the Leuckart method. Conversion efficiency and impurity profile were assessed using gas chromatography–flame ionization detection (GC–FID) and GC–mass spectrometry (GC ...
Maartje C. M. Verhoeven   +7 more
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

Study on the failure mechanism of the shield excavation face in the sandy cobble stratum under different buried depths

open access: yesDeep Underground Science and Engineering, EarlyView.
Abstract One of the significant challenges faced in shield tunnel construction is the risk of collapse resulting from abrupt changes in soil conditions in advance of the working face, particularly within the sandy cobble stratum. This study aims to effectively manage these sudden variations and to further investigate the failure mechanisms associated ...
Hua Jiang   +4 more
wiley   +1 more source

Optimization of cut‐hole layout under high in situ stress based on numerical simulation and field tests

open access: yesDeep Underground Science and Engineering, EarlyView.
This study investigates the blast‐induced rock damage patterns under different cut‐hole layouts and ground stress conditions through numerical simulations and field tests. The findings in this study provide valuable insights for similar underground engineering applications.
Junjie Zhao   +5 more
wiley   +1 more source

Resonance‐induced restoration of rock permeability degraded by heavy components of crude oil

open access: yesDeep Underground Science and Engineering, EarlyView.
Resonance‐induced changes occur in filtration properties of sedimentary rocks in crude paraffin oil flow under acoustic vibrations. Experimental data on (a) pressure drop; (b) permeability; (c) pressure at the rock inlet; and (d) pressure at the rock outlet are presented.
Evgenii Riabokon   +6 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

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