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The paper seeks to attempt to solve a decision‐making problem for breeding target character shown as an interval number.

A new comprehensive evaluation method is proposed based on similarity‐difference theory and interval number theory. Data from Winter Wheat Group I Variety Regional Test in Henan Province in 2009‐2010 were analysed using the proposed method.

The results showed that Zhou 99233 was a good variety; Yuxhan No. 7, An 05‐28, Xun K8, Jinyumai 378 and Zhoumai 18 were better ones; 08 luo 36,and Xuke 718 ordinary ones, and others worse ones. Based on this, the feasibility of the method was discussed. It showed that the proposed method had some obvious merits, such as simple arithmetic, convenient operation, flexible and practical, fast and effective.

The application of a live example indicated that its evaluation effect was satisfactory.

The paper succeeds in solving a decision‐making problem for breeding target character shown as an interval number.

The purpose of this paper is to attempt to solve a decision‐making problem for breeding target character showed as an interval number.

A new comprehensive evaluation method was proposed based on similarity‐difference theory and interval number theory. The data from Winter Wheat Group I Variety Regional Test in Henan Province in 2009‐2010 were analysed using the proposed method.

The results showed that Zhou 99233 was a good variety, Yuxhan No.7, An 05‐28, Xun K8, Jinyumai 378 and Zhoumai 18 were better ones, 08 luo 36, and Xuke 718 ordinary ones, and others worse ones. Based on this, the feasibility of the method was discussed. It showed that the proposed method had some obvious merits, such as arithmetic was simple, operation convenient, flexible and practical, fast and effective, etc.

Application to a living example indicated that its evaluation effect was satisfactory. Consequently, the application prospect of the method will be very vast.

The paper succeeds in solving a decision‐making problem for breeding target character shown as an interval number.

Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.

Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.

The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.

By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

The purpose of this paper is to identify the risk factors that affect aquatic product quality in the “farming-supermarket docking” condition. This paper investigates how the investment scale can affect earnings and aquatic product quality assurance level. Also, it aims to determine an effective method for increasing aquatic product assurance level, coordinate the supply chain and improve management of the entire supply chain.

The authors construct a coordination model for quality risk control of the aquatic supply chain by simulating the model in a tilapia supply chain using the case study method. They applied Karush–Kuhn–Tucker conditions to analyze upstream enterprises (breeding base) and downstream enterprises (corresponding supermarket) under the conditions of sufficient or insufficient funds, Further, they consider the relationships among revenue, optimum quality assurance and investment scale at different capital positions; discuss the best cooperation conditions in four cases; and draw conclusions on ways to control quality risk.

The proposed coordination model is found to be effective in controlling aquatic product quality risk. The simulation results show that when the enterprise funds are sufficient, the sales prices, product freshness, quality assurance ability, collaboration and quality test ability have a positive influence on quality assurance level, whereas coefficient and price sensitivity have a negative influence on it. Additionally, it can obtain high-quality assurance levels and earnings in both breeding bases and supermarkets under the condition of adequate investment.

The study built a coordination model combined with the characteristics of the aquatic supply chain by adding the quality penalty mechanism, product freshness parameters and cost function in the “farming-supermarket docking” mode into the traditional principal–agent model. Research results are beneficial to enhancing the quality assurance level of the aquatic supply chain and improving the coordination level of the supply chain.

A striking feature of Jaques' work is his “no nonsense” attitude to the “manager‐subordinate” relationship. His blunt account of the origins of this relationship seems at first sight to place him in the legalistic “principles of management” camp rather than in the ranks of the subtler “people centred” schools. We shall see before long how misleading such first impressions can be, for Jaques is not making simplistic assumptions about the human psyche. But he certainly sees no point in agonising over the mechanism of association which brings organisations and work‐groups into being when the facts of life are perfectly straightforward and there is no need to be squeamish about them.

The paper starts from an observation of a discrepancy between the ambitions for sustainable change in the agro-industry and the actual changes being implemented. We offer one possible explanation by investigating the organizational structures conditioning change in this industry.

We apply a case study methodology, focusing on the Danish pig industry and its organizational conditions for change. Based on interviews and document analysis, and building on systems theory, we develop the concept of change structures, understood as decision premises that guide the change of further decision premises.

The analysis suggests that the pig industry’s change structures predominantly enable changes that cut costs and optimize the production, which may conflict with and possibly foreclose the changes needed to realize the industry’s sustainable ambitions. This conflict and its implications are not acknowledged by the industry.

The analysis indicates that the industry may be locked in its current form of organizational change. We suggest a way to overcome the lock-in by fostering organizational mechanisms that enable alternative interpretations to emerge internally. Without this, achieving the required sustainable change in the industry may hinge on stronger external regulation and support.

Conceptually, the notion of change structures supplements actor-oriented analytical approaches that focus on change agents and sense-making. Empirically, we contribute with an analysis of the conditions of possibility for sustainable change in an important yet understudied industry in organization studies; namely, the conventional agro-industry.

Hate speech is an expression of intense hatred. Twitter has become a popular analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection with social media data has witnessed special research attention in recent studies, hence, the need to design a generic metadata architecture and efficient feature extraction technique to enhance hate speech detection.

This study proposes a hybrid embeddings enhanced with a topic inference method and an improved cuckoo search neural network for hate speech detection in Twitter data. The proposed method uses a hybrid embeddings technique that includes Term Frequency-Inverse Document Frequency (TF-IDF) for word-level feature extraction and Long Short Term Memory (LSTM) which is a variant of recurrent neural networks architecture for sentence-level feature extraction. The extracted features from the hybrid embeddings then serve as input into the improved cuckoo search neural network for the prediction of a tweet as hate speech, offensive language or neither.

The proposed method showed better results when tested on the collected Twitter datasets compared to other related methods. In order to validate the performances of the proposed method, t-test and post hoc multiple comparisons were used to compare the significance and means of the proposed method with other related methods for hate speech detection. Furthermore, Paired Sample t-Test was also conducted to validate the performances of the proposed method with other related methods.

Finally, the evaluation results showed that the proposed method outperforms other related methods with mean F1-score of 91.3.

The main novelty of this study is the use of an automatic topic spotting measure based on naïve Bayes model to improve features representation.

The monograph argues that American racism has two colours (white and black), not one; and that each racism dresses itself not in one clothing, but in four: (1) “Minimal” negative, when one race considers another race inferior to itself in degree, but not in nature; (2) “Maximal” negative, when one race regards another as inherently inferior; (3) “Minimal” positive, when one race elevates another race to a superior status in degree, but not in nature; and (4) “Maximal” positive, when one race believes that the other race is genetically superior. The monograph maintains that the needs of capitalism created black slavery; that black slavery produced white racism as a justification for black slavery; and that black racism is a backlash of white racism. The monograph concludes that the abolition of black slavery and the civil rights movement destroyed the social and political ground for white and black racism, while the modern development of capitalism is demolishing their economic and intellectual ground.

The purpose of this paper is to evaluate issues of different scripts in the same record (in MARC21 and Chinese machine‐readable cataloguing (CMARC)) and Chinese internal codes (i.e. double‐byte character set) when implementing Koha. It also discusses successful efforts in promoting the adoption of Koha in Taiwan, particularly the contributions from Koha‐Taiwan.

A Koha CMARC/MARC21 testbed was set up to discuss issues of multi‐scripts and Chinese internal codes when implementing Koha, and to determine to what extent the various features of CMARC, which are not present in MARC21, such as linking fields, can be supported in Koha and what is required to implement them if they are not available.

In contrast to western characters, Chinese internal codes cause extra work, as special programming for character conversion is required when working with Koha. This situation is commonly seen in Asian countries such as China, Japan and Korea. This paper recommends implementing CMARC, MARC21 or even any other type of MARC format in Koha with strong commercial‐level support.

Koha‐Taiwan serves Koha Chinese users around the world. A successful Koha‐Taiwan could be a model around the world.

In recent years, the concept of implementing an open‐source library management system has been coming to the fore. In Taiwan, the local‐based commercial library system covers more than one quarter of the library system market in academic libraries because the company provides better tailor‐made support, mainly in scripts and multiple internal codes, than do western‐based commercial library systems. Evaluations and conclusions from this paper will be useful to countries where multi‐scripts and double‐byte character sets are issues.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.