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Article
Publication date: 25 August 2021

Ali Shams Nateri and Ehsan Dehnavi

This work aims to study the effect of mordanting method as pre-mordanting (on-chrome), meta-mordanting (meta-chrome) and post-mordanting (after-chrome) on wool dyeing with…

Abstract

Purpose

This work aims to study the effect of mordanting method as pre-mordanting (on-chrome), meta-mordanting (meta-chrome) and post-mordanting (after-chrome) on wool dyeing with madder natural dye without tannin and pomegranates peel, as a natural dye contains tannin.

Design/methodology/approach

The woolen yarn was dyed with madder and pomegranate peel natural dyes by three methods as pre-mordant, meta-mordant and pos-mordant. The color parameters and reflectance spectra of dyed samples were analyzed by using derivative spectroscopy and the principal component analysis (PCA) techniques.

Findings

The obtained results indicate that the color difference between the samples dyed with madder by pre-mordanting, and the samples dyed by other methods is more than the color difference between the samples dyed by meta-mordanting and post-mordanting. However, the color difference between samples dyed with pomegranate peel by pre-mordanting and meta-mordanting methods is less compared to other pairs. Also, analysis of reflectance spectra and color depth (K/S) values indicate that the color depth of dyed sample with madder by pre-mordanting method is more than other dyeing methods. But, the color depth of sample dyed with pomegranate peel by post-mordanting method is less compared to other methods. The analysis of first-, second-, third- and fourth-order derivatives of reflectance spectra and the study of the first, second, third and fourth PCs of reflectance spectra indicate that the reflectance of dyed samples with madder and pomegranates peel depends on the mordanting method.

Originality/value

Evaluation of the effect of mordanting method on color and reflectance of wool dyed with madder and pomegranates peel natural dyes using derivative spectroscopy and the PCA techniques

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

Content available
Article
Publication date: 7 September 2021

Thomas W. Wainwright and David McDonald

Health services continue to face economic and capacity challenges. Quality improvement (QI) methods that can improve clinical care processes are therefore needed. However…

Abstract

Purpose

Health services continue to face economic and capacity challenges. Quality improvement (QI) methods that can improve clinical care processes are therefore needed. However, the successful use of current QI methods within hospital settings remains a challenge. There is considerable scope for improvement of elective clinical pathways, such as hip and knee replacement, and so the use and study of QI methods in such settings is warranted.

Design/methodology/approach

A model to manage variability was adapted for use as a QI method and deployed to improve a hip and knee replacement surgical pathway. A prospective observational study, with a mixed-methods sequential explanatory design (quantitative emphasised) that consisted of two distinct phases, was used to assess its effectiveness.

Findings

Following the use of the novel QI method and the subsequent changes to care processes, the length of hospital stay was reduced by 18%. However, the interventions to improve care process highlighted by the QI method were not fully implemented. The qualitative data revealed that staff thought the new QI method (the model to manage variability) was simple, effective, offered advantages over other QI methods and had highlighted the correct changes to make. However, they felt that contextual factors around leadership, staffing and organisational issues had prevented changes being implemented and a greater improvement being made.

Originality/value

The quality of QI reporting in surgery has previously been highlighted as poor and lacking in prospective and comprehensively reported mixed-methods evaluations. This study therefore not only describes and presents the results of using a novel QI method but also provides new insights in regard to important contextual factors that may influence the success of QI methods and efforts.

Details

The TQM Journal, vol. 33 no. 7
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 6 September 2021

Hirokazu Yamada

This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents…

Abstract

Purpose

This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents, which are output indicators of research and development (R&D) results.

Design/methodology/approach

This paper reports on two methods for distinguishing important patents and the indicators obtained from those methods. One of the discrimination methods is Heckman's two-step estimation procedure. The second method is to find the centrality of each patent by network analysis of the citation relationship between publications and to find the importance from the magnitude of the centrality value.

Findings

In Heckman's analysis, the number of citations within three years after publication and the applicant's right acquisition/maintenance motivation index had positive effects on patent importance. The discriminative indicators of important patents by network analysis were degree centrality, mediation centrality, proximity centrality and transit values in the aggregated subnetworks. These two analytical methods are in a relationship that can complement each other's shortcomings. To efficiently evaluate the qualitative importance of patents, it is recommended to use these two methods together.

Research limitations/implications

The indicators of important technical patents might change depending on the technical field. Future studies can apply this research to multiple technical fields to improve robustness and to construct an algorithm that can efficiently evaluate the quality of patents.

Practical implications

This study's results can be useful for grasping the patent position of the company or competitors numerically and for quantitatively evaluating the quality of R&D activities. Furthermore, it is possible to streamline the routine for an exploratory search of a huge number of patents. For example, it could be useful for detecting changes in the paradigm of specific technical knowledge, evolving the genealogy of technical knowledge and creating patent maps for new R&D. These methods greatly increase the effectiveness of technical knowledge information, which is the basis of R&D. In addition, the results of this study can help in evaluating patented assets.

Social implications

This study confirmed the development process of technical knowledge. It is a fact that sharing, sympathy and mutual trust for technical issues and technical values are created among professional engineers and researchers inside and outside the organization, and their preferences and interactions develop and expand technical knowledge. Understanding the process of development and the evolution of this technical knowledge gives hints, such as expanding the discretionary power of engineers and researchers regarding corporate secrets, or reviewing the balance between control and independence, to solve Japanese management problems, which are often closed and monetized in R&D activities.

Originality/value

This study presents a scoring of the technical significance of patents by combining the two analytical methods. In addition, there are proposals as a method for detecting changes in the genealogy and paradigm of technical knowledge. As an analysis method, it is a new proposal that has never existed before.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 16 September 2021

Sireesha Jasti

Internet has endorsed a tremendous change with the advancement of the new technologies. The change has made the users of the internet to make comments regarding the…

Abstract

Purpose

Internet has endorsed a tremendous change with the advancement of the new technologies. The change has made the users of the internet to make comments regarding the service or product. The Sentiment classification is the process of analyzing the reviews for helping the user to decide whether to purchase the product or not.

Design/methodology/approach

A rider feedback artificial tree optimization-enabled deep recurrent neural networks (RFATO-enabled deep RNN) is developed for the effective classification of sentiments into various grades. The proposed RFATO algorithm is modeled by integrating the feedback artificial tree (FAT) algorithm in the rider optimization algorithm (ROA), which is used for training the deep RNN classifier for the classification of sentiments in the review data. The pre-processing is performed by the stemming and the stop word removal process for removing the redundancy for smoother processing of the data. The features including the sentiwordnet-based features, a variant of term frequency-inverse document frequency (TF-IDF) features and spam words-based features are extracted from the review data to form the feature vector. Feature fusion is performed based on the entropy of the features that are extracted. The metrics employed for the evaluation in the proposed RFATO algorithm are accuracy, sensitivity, and specificity.

Findings

By using the proposed RFATO algorithm, the evaluation metrics such as accuracy, sensitivity and specificity are maximized when compared to the existing algorithms.

Originality/value

The proposed RFATO algorithm is modeled by integrating the FAT algorithm in the ROA, which is used for training the deep RNN classifier for the classification of sentiments in the review data. The pre-processing is performed by the stemming and the stop word removal process for removing the redundancy for smoother processing of the data. The features including the sentiwordnet-based features, a variant of TF-IDF features and spam words-based features are extracted from the review data to form the feature vector. Feature fusion is performed based on the entropy of the features that are extracted.

Details

International Journal of Web Information Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1744-0084

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Article
Publication date: 10 September 2021

Steffen Roth, Albert Mills, Bill Lee and Dariusz Jemielniak

This article is devoted to conditions and examples of how theories may be applied as methods in the fields of management research and organization studies.

Abstract

Purpose

This article is devoted to conditions and examples of how theories may be applied as methods in the fields of management research and organization studies.

Design/methodology/approach

An introduction to minimum requirements for a successful refunctionalization of theory as method as well as to nine contributions to a special issue of the Journal of Organizational Change Management on “Theory as method” is provided.

Findings

The review of these nine cases suggests that the use of theories as methods is not necessarily harmful for the former, and particularly not for the more robust among them.

Originality/value

This article sheds new light on the value of theoretical monism or loyalty and calls for a reassessment of the relative value of expertise in a specific research field, method and or theory.

Details

Journal of Organizational Change Management, vol. 34 no. 4
Type: Research Article
ISSN: 0953-4814

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Article
Publication date: 24 September 2021

Guanzheng Wang, Yinbo Xu, Zhihong Liu, Xin Xu, Xiangke Wang and Jiarun Yan

This paper aims to realize a fully distributed multi-UAV collision detection and avoidance based on deep reinforcement learning (DRL). To deal with the problem of low…

Abstract

Purpose

This paper aims to realize a fully distributed multi-UAV collision detection and avoidance based on deep reinforcement learning (DRL). To deal with the problem of low sample efficiency in DRL and speed up the training. To improve the applicability and reliability of the DRL-based approach in multi-UAV control problems.

Design/methodology/approach

In this paper, a fully distributed collision detection and avoidance approach for multi-UAV based on DRL is proposed. A method that integrates human experience into policy training via a human experience-based adviser is proposed. The authors propose a hybrid control method which combines the learning-based policy with traditional model-based control. Extensive experiments including simulations, real flights and comparative experiments are conducted to evaluate the performance of the approach.

Findings

A fully distributed multi-UAV collision detection and avoidance method based on DRL is realized. The reward curve shows that the training process when integrating human experience is significantly accelerated and the mean episode reward is higher than the pure DRL method. The experimental results show that the DRL method with human experience integration has a significant improvement than the pure DRL method for multi-UAV collision detection and avoidance. Moreover, the safer flight brought by the hybrid control method has also been validated.

Originality/value

The fully distributed architecture is suitable for large-scale unmanned aerial vehicle (UAV) swarms and real applications. The DRL method with human experience integration has significantly accelerated the training compared to the pure DRL method. The proposed hybrid control strategy makes up for the shortcomings of two-dimensional light detection and ranging and other puzzles in applications.

Details

Industrial Robot: the international journal of robotics research and application, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 7 September 2021

Yang Liu, Yi Chen, Kefan Xie and Jia Liu

This research aims to figure out whether the pool testing method of SARS-CoV-2 for COVID-19 is effective and the optimal sample size is in one bunch. Additionally, since…

Abstract

Purpose

This research aims to figure out whether the pool testing method of SARS-CoV-2 for COVID-19 is effective and the optimal sample size is in one bunch. Additionally, since the infection rate was unknown at the beginning, this research aims to propose a multiple sampling approach that enables the pool testing method to be utilized successfully.

Design/methodology/approach

The authors verify that the pool testing method of SARS-CoV-2 for COVID-19 is effective under the situation of the shortage of nucleic acid detection kits based on probabilistic modeling. In this method, the testing is performed on several samples of the cases together as a bunch. If the test result of the bunch is negative, then it is shown that none of the cases in the bunch has been infected with the novel coronavirus. On the contrary, if the test result of the bunch is positive, then the samples are tested one by one to confirm which cases are infected.

Findings

If the infection rate is extremely low, while the same number of detection kits is used, the expected number of cases that can be tested by the pool testing method is far more than that by the one-by-one testing method. The pool testing method is effective only when the infection rate is less than 0.3078. The higher the infection rate, the smaller the optimal sample size in one bunch. If N samples are tested by the pool testing method, while the sample size in one bunch is G, the number of detection kits required is in the interval (N/G, N).

Originality/value

This research proves that the pool testing method is not only suitable for the situation of the shortage of detection kits but also the situation of the overall or sampling detection for a large population. More importantly, it calculates the optimal sample size in one bunch corresponding to different infection rates. Additionally, a multiple sampling approach is proposed. In this approach, the whole testing process is divided into several rounds in which the sample sizes in one bunch are different. The actual infection rate is estimated gradually precisely by sampling inspection in each round.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 16 August 2011

Avinash Arya

This note presents a method of teaching accounting problems involving the use of the effective interest method such as bonds, notes, capital leases, and installment sales…

Abstract

This note presents a method of teaching accounting problems involving the use of the effective interest method such as bonds, notes, capital leases, and installment sales. The method is conceptually sound and simpler than the traditional method found in current textbooks and stimulates student interest by focusing on the economics of the transaction and relating it to real-life examples.

To assess its pedagogical efficacy, the method was tested in the introductory and intermediate accounting classes. In both courses, the results indicate that students' test scores are significantly higher under the new method than the traditional method. It is hoped that this evidence of the superiority of the new method in a classroom environment will spur its adoption by instructors and textbook writers.

Details

Advances in Accounting Education: Teaching and Curriculum Innovations
Type: Book
ISBN: 978-1-78052-223-4

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Article
Publication date: 5 August 2021

Farzad Kiani, Amir Seyyedabbasi and Sajjad Nematzadeh

Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one…

Abstract

Purpose

Efficient resource utilization in wireless sensor networks is an important issue. Clustering structure has an important effect on the efficient use of energy, which is one of the most critical resources. However, it is extremely vital to choose efficient and suitable cluster head (CH) elements in these structures to harness their benefits. Selecting appropriate CHs and finding optimal coefficients for each parameter of a relevant fitness function in CHs election is a non-deterministic polynomial-time (NP-hard) problem that requires additional processing. Therefore, the purpose of this paper is to propose efficient solutions to achieve the main goal by addressing the related issues.

Design/methodology/approach

This paper draws inspiration from three metaheuristic-based algorithms; gray wolf optimizer (GWO), incremental GWO and expanded GWO. These methods perform various complex processes very efficiently and much faster. They consist of cluster setup and data transmission phases. The first phase focuses on clusters formation and CHs election, and the second phase tries to find routes for data transmission. The CH selection is obtained using a new fitness function. This function focuses on four parameters, i.e. energy of each node, energy of its neighbors, number of neighbors and its distance from the base station.

Findings

The results obtained from the proposed methods have been compared with HEEL, EESTDC, iABC and NR-LEACH algorithms and are found to be successful using various analysis parameters. Particularly, I-HEELEx-GWO method has provided the best results.

Originality/value

This paper proposes three new methods to elect optimal CH that prolong the networks lifetime, save energy, improve overhead along with packet delivery ratio.

Details

Sensor Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 24 August 2021

Luciano Costa Santos, Lívia Maria Albuquerque Reul and Cláudia Fabiana Gohr

Developing a lean supply chain is a continuous improvement effort, so it requires tracking the implementation progress by assessing the achieved level of leanness…

Abstract

Purpose

Developing a lean supply chain is a continuous improvement effort, so it requires tracking the implementation progress by assessing the achieved level of leanness. However, lean supply chain practices depend on firm-to-firm relationships and an assessment method should consider these network interactions. Given the absence of such a method, this study aims to propose an alternative approach for assessing the leanness level of supply chains.

Design/methodology/approach

The authors extracted 18 typical lean supply chain practices from the literature, constituting the leanness assessment parameters. Then, the authors developed an assessment method based on the graph-theoretic approach due to its properties of capturing the interdependencies between elements of a system. The authors tested the proposed method in an automotive supply chain, selecting the focal firm and three of its first-tier suppliers.

Findings

The authors positioned partial and overall results in a visual classification scale and the supply chain presented a moderate leanness level. After empirical testing, the proposed method demonstrated its practical feasibility.

Research limitations/implications

This paper contributes to the literature with a novel approach for supply chain leanness assessment. However, to increase its generalizability, it would be beneficial to test the method in non-automotive supply chains, extending the assessment scope to downstream firms and second-tier customers and suppliers.

Practical implications

For practitioners, this paper provides a self-assessment tool to monitor the supply chain leanness and set priorities for improvement.

Originality/value

Besides tackling the interrelationships between firms, the proposed method considers the interdependencies between lean practices, providing partial and overall feedback to enable a systemic assessment.

Details

Supply Chain Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-8546

Keywords

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