bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach
Authors: Eluri Nageswara Rao , Kancharla Gangadhara Rao , Dara Suresh , Dondeti Venkatesulu 
Published: September 2021

PurposeGene selection is considered as the fundamental process in the bioinformatics field. The existing methodologies pertain to cancer classification are mostly clinical basis, and its diagnosis capability is limited. Nowadays, the significant problems of cancer diagnosis are solved by the utilization of gene expression data. The researchers have been introducing many possibilities to diagnose cancer appropriately and effectively. This paper aims to develop the cancer data classification using gene expression data.Design/methodology/approachThe proposed classification model involves three main phases: “(1) Feature extraction, (2) Optimal Feature Selection and (3) Classification”. Initially, five benchmark gene expression datasets are collected. From the collected gene expression data, the feature extraction is performed. To diminish the length of the feature vectors, optimal feature selection is performed, for which a new meta-heuristic algorithm termed as quantum-inspired immune clone optimization algorithm (QICO) is used. Once the relevant features are selected, the classification is performed by a deep learning model called recurrent neural network (RNN). Finally, the experimental analysis reveals that the proposed QICO-based feature selection model outperforms the other heuristic-based feature selection and optimized RNN outperforms the other machine learning methods.FindingsThe proposed QICO-RNN is acquiring the best outcomes at any learning percentage. On considering the learning percentage 85, the accuracy of the proposed QICO-RNN was 3.2% excellent than RNN, 4.3% excellent than RF, 3.8% excellent than NB and 2.1% excellent than KNN for Dataset 1. For Dataset 2, at learning percentage 35, the accuracy of the proposed QICO-RNN was 13.3% exclusive than RNN, 8.9% exclusive than RF and 14.8% exclusive than NB and KNN. Hence, the developed QICO algorithm is performing well in classifying the cancer data using gene expression data accurately.Originality/valueThis paper introduces a new optimal feature selection model using QICO and QICO-based RNN for effective classification of cancer data using gene expression data. This is the first work that utilizes an optimal feature selection model using QICO and QICO-RNN for effective classification of cancer data using gene expression data.
From bystander to ally among faculty colleagues: construction and validation of the bystander intervention behavior scale
Authors: Griffith Jennifer , Malone Mary Fran T. , Shea Christine M. 
Published: September 2021

PurposeBystander intervention mitigates the negative impact of bias incidents in the workplace. However, intervention tends to be viewed as binary: intervention occurred or it did not. Consequently, research has focused on conditions under which witnesses of bias incidents choose to intervene, and less is known about how witnesses may intervene. This paper elucidates the intervention behavior choices available to witnesses of bias incidents and develops a bystander intervention behavior (BIB) scale.Design/methodology/approachTo develop the scale, the authors used the three-phased act frequency methodology. In phase I, the authors surveyed faculty who had both witnessed a bias incident and seen someone intervene to address it. The authors asked these faculties to list the observed bystander intervention behaviors they had personally observed. In Phase II, different survey respondents and subject matter experts assessed the prototypicality of each of the behaviors in relation to the concept of bystander intervention. In phase III, the authors tested the validity and reliability of the resulting 18-item scale and assessed the ability of bystander intervention behavior to mitigate the negative impact of bias incidents on the academic workplace.FindingsThe BIB scale consists of two theoretically derived, empirically validated and reliable dimensions; it can be used as a summary score to evaluate the extent to which colleagues intervene indirectly and directly when a bias incident occurs in the academic workplace.Originality/valueThis scale is valuable in advancing efforts to mitigate the negative effect of bias in the workplace and training colleagues to intervene in various ways when bias occurs.
Research on the motion law of fiber in the vortex field inside the nozzle based on ADINA fluid–structure coupling model
Authors: Han Chenchen , Gao Weidong 
Published: September 2021

PurposeThe purpose of the paper is researching on the motion law of fiber in the vortex field inside the nozzle.Design/methodology/approachA three-dimensional calculation model was established using the MVS861 (Muratec Vortex Spinning) air-jet vortex-spinning nozzle as the prototype, and the fluid–solid coupling calculation module in the finite element calculation software ADINA (Adina System) was used to numerically analyze the fiber-air flow two-phase coupling. At the same time, the effect of the air pressure at the nozzle on the two-phase flow is studied.FindingsThe results show that after the air flow ejected through the nozzle, a vortex field will be generated in the flow field to push the internal fiber to move toward the nozzle outlet in a wave motion; as the air pressure at the nozzle increases, the fiber movement period becomes shorter and the oscillation frequency becomes higher; increasing the air pressure at the spray hole can improve the working efficiency of fiber twisting and wrapping.Originality/valueThe research present an effective and feasible theoretical model and method for the motion law of fiber in the vortex field inside the nozzle based on ADINA fluid–structure coupling model.
Feature-based fashion flat sketch design using automatic module alignment algorithm
Authors: Lee Yoo-Jeong , Kim Sungmin 
Published: September 2021

PurposeThe purpose of this study is to develop an easy-to-use CAD software for fashion flat sketch that can create new sketches by combining the flat sketch modules.Design/methodology/approachA sample fashion flat module database was constructed by performing a sketch modularization process as well as a morphological analysis. In addition, an automatic module assembling algorithm was developed to create new sketches using the database.FindingsThe module assembling algorithm enabled the users to make new fashion flat sketches by the combination of design modules in the database. The example database constructed in this study was composed of bodice, sleeve, collar, cuffs and pocket modules chosen based on the results of a morphological analysis.Social implicationsA CAD program has been developed that might improve the efficiency of design work by helping the users to make fashion flat sketches more easily.Originality/valueThe automatic module assembling algorithm developed in this study has not been implemented in any existing commercial systems. It is expected that users who do not have expertise in fashion design could be able to participate from the clothing design stage as a mass customization prosumer by using the software.
Entrepreneurial dynamics in two-sided platforms: the influence of sides in the case of Friendz
Authors: Trabucchi Daniel , Buganza Tommaso 
Published: September 2021

PurposeTwo or multi-sided platforms - defined as those companies that aim to connect two or more groups of customers leveraging the opportunities provided by indirect network externalities – got massive attention from both scholars and practitioners over the last decade. Entrepreneurship scholars mainly focused on the platform's ability to enable entrepreneurial ventures for the complementors' side, exploring the network-centric view. This study aims to expand it by exploring the broader influence that sides can have on the platform provider's entrepreneurial decisions over time, during the evolution of the two-sided platform.Design/methodology/approachThe study is based on a longitudinal single case study developed over five years. The research presents the born and evolution of Friendz, an Italian two-sided platform.FindingsThe research presents a four-phases evolution process that shows how the entrepreneurs may first leverage an existing platform to develop a new venture and then develop his/her own two-sided platform. In this latter phase, the findings show how the sides may actually influence the platform provider's entrepreneurial decisions, both in terms of value proposition design, but also regarding the creation of new ventures.Research limitations/implicationsThe study contributes to the two-sided platform literature highlighting new evolutionary paths that expand current literature and highlight the doubling platform approach. Moreover, it contributes to the entrepreneurship literature offering a novel perspective on the entrepreneurial dynamics in two-sided platforms by re-balancing the power between the platform provider and the sides within the double network-centric view.Practical implicationsFrom a practitioners' perspective, this study offers an evolutionary path and specific tactics related to the evolution of an entrepreneurial venture based on a two-sided platforms that may inspire entrepreneurs working on two-sided platforms on how to use existing platforms and on the management of sides and the value propositions used to target them.Originality/valueThis study takes a novel perspective at the intersection between platforms and entrepreneurship literature streams, exploring the power that sides have over the platform provider in shaping the platform's entrepreneurial evolution. In doing so, it proposes a double network view on two-sided platforms and highlights three network-related tensions that can guide the evolution of the two-sided platforms.
Towards a conceptual definition of intangible Olympic legacy
Authors: Girginov Vassil , Preuss Holger 
Published: September 2021

PurposeIntangible legacy encapsulates the essence of Olympism and its manifestation, the Olympic Games. Despite significant interest in the capacity of the Olympics to produce notable changes in society, conceptual difficulties in defining and measuring intangible legacy persist. The study develops a conceptual definition of intangible Olympic legacy.Design/methodology/approachThe study follows a four-step concept definition approach. It examines and integrates three strands of literature including intangibles, social interactions and public value, which is combined with insights from a longitudinal empirical investigation of intangible Olympic legacy for National Sport Organisations (NSO).FindingsThe proposed concept of intangible legacy defines it an emerging combination of attributes, interactions, processes and technology, with the goal of creating public value which is the ultimate goal of the Olympic Games. Since intangible legacy is qualitative rather than quantitative, a reconsideration of the current research paradigm is also proposed.Research limitations/implicationsThe study develops a new analytical device for the investigation of intangible legacies for specific publics such as NSO.Practical implicationsThe study carries practical implications for Olympic and events/festival promoters as it allows defining and operationalising the key attributes of the concept.Originality/valueThis is the first study to conceptualise intangible legacy of mega events.
Examining the spatial and non-spatial linkages between suburban housing markets
Authors: Moallemi Morteza , Melser Daniel , de Silva Ashton , Chen Xiaoyan 
Published: September 2021

Purpose
The purpose of this paper is on developing and implementing a model which provides a fuller and more comprehensive reflection of the interaction of house prices at the suburb level.

Design/methodology/approach
The authors examine how changes in housing prices evolve across space within the suburban context. In doing so, the authors developed a model which allows for suburbs to be connected both because of their geographic proximity but also by non-spatial factors, such as similarities in socioeconomic or demographic characteristics. This approach is applied to modelling home price dynamics in Melbourne, Australia, from 2007 to 2018.

Findings
The authors found that including both spatial and non-spatial linkages between suburbs provides a better representation of the data. It also provides new insights into the way spatial shocks are transmitted around the city and how suburban housing markets are clustered.

Originality/value
The authors have generalized the widely used SAR model and advocated building a spatial weights matrix that allows for both geographic and socioeconomic linkages between suburbs within the HOSAR framework. As the authors outlined, such a model can be easily estimated using maximum likelihood. The benefits of such a model are that it yields an improved fit to the data and more accurate spatial spill-over estimates.
Is the US 3PL industry overcoming paradoxes amid the pandemic?
Authors: Ashraf Muhammad Hasan , Yalcin Mehmet G. , Zhang Jiayuan , Ozpolat Koray 
Published: September 2021

PurposeThird-party logistics (3PL) companies have experienced an explosion of volume during coronavirus disease 2019 (COVID-19). Special tiers have been introduced to provide differentiated levels of service to the customers. However, such changes in an organization reveal and intensify tensions known as paradoxes. The purpose of this research is to identify what paradoxes emerged or have become more salient specifically due to COVID-19 in 3PLs' ground operations and how they are dealt with by ground operation managers.Design/methodology/approachThis is a qualitative study conducted in two phases. Phase one utilizes a questionnaire approach to identify the paradoxes within the 3PLs operating in the USA. Phase two, conducted six months after phase one, follows an in-depth one-on-one interview approach. NVivo 12 is employed to analyze the interview data.FindingsThe results show that new paradoxes did in fact emerge due to the COVID-19 and are mostly related to the performing paradox category. Findings from in-depth interviews show that the 3PL managers focus on keeping safety as priority to manage COVID-19 related paradoxes, along with modifying operational plans, improving communication, investing in training, optimizing hub network, introducing modified/new methods and adapting modified human resource policies.Originality/valueThis paper is among the first known to identify paradoxes within the 3PL operations during the COVID-19 and provides insights into how these paradoxes are dealt with at mid-management level. Findings of this study provide foundations for the development of a theoretical framework on handling paradoxes within 3PLs.
Modelling the impact of the COVID-19 pandemic on South African livelihoods
Authors: Simon Benjamin Aye , Khambule Isaac 
Published: September 2021

PurposeThe coronavirus disease 2019 (COVID-19)-induced declining economic prospects and accompanying economic shocks present socioeconomic vulnerabilities for developing economies at the tranches of poverty, unemployment and minimal social security. South Africa is one of the countries that have the most precarious societies in developing nations due to the triple challenges of unemployment, poverty and inequality. As such, this paper investigates the impact of the pandemic on South African livelihoods.Design/methodology/approachThis paper uses secondary data obtained from the National Income Dynamics Study – Coronavirus Rapid Mobile Survey (NIDS-CRAM) Wave 1 dataset to analyse the impact of COVID-19 on South African livelihoods.FindingsThe findings reveal that COVID-19 amplified the country's poor and vulnerable population's socioeconomic conditions because of the stringent Level 5 lockdown regulations that barred low-income households from making a livelihood. It further revealed that low-income households, who are the least educated, Black African, female and marginalized, were disproportionally socioeconomically affected by losing the main household income.Research limitations/implicationsThe research is limited in that it used secondary quantitative data that relied on a telephonic survey during the COVID-19 lockdown period.Practical implicationsThis study offers a policy suggestion that increasing social grants during the pandemic will not have any significant impact on the livelihoods of many South Africans unless distributional inequalities are reduced.Social implicationsThe government needs to develop welfarist policies to protect the most vulnerable in society to limit the socioeconomic impact of pandemics and take proactive policy measures to reduce unemployment and income inequalities in the country.Originality/valueThe paper contributes to understanding the precarious nature of low-income households.
Lessons from abroad for funding long-term care in England: a prospective policy transfer perspective on official documents
Authors: Powell Martin 
Published: September 2021

PurposeMany governments stress the importance of “learning from abroad”. An analysis of official documents over a period of some 20 years examines learning from abroad in the case of funding long-term care in England through the lens of prospective policy transfer.Design/methodology/approachThe paper analyses the eight “official” documents in England that examined funding LTC from 1999 to 2019. It uses interpretive content analysis in a deductive approach that focuses on both manifest and latent content.FindingsOnly four of the eight documents gave more than a token level of attention to other nations, and of the remaining four, none fully satisfied the criteria or followed the recommendations of prospective policy transfer. Moreover, a rather limited pool of lessons from other nations is examined. Much of the material is rather descriptive, with limited explicit attention towards goals, problems, settings and policy performance, and a clear recommendation explicitly associated with a clear lesson or policy recommendation is rare.Originality/valueThis is the first analysis of the eight official documents that have discussed funding long-term care in England.
Repairing the trust in ride-sharing after security incidents
Authors: Chen Aihui , Wan Jinlin , Lu Yaobin 
Published: September 2021

PurposeA rash of security incidents in ride-sharing have made discovering the mechanisms to repair consumers' trust essential for the information technology (IT)-enabled ride-sharing platforms. The purpose of this paper is to explore how the two response strategies (i.e. security policies [SPs] and apologies) of platforms repair passengers' trust and whether the two implementation approaches of SPs (i.e. pull and push) lead to different results in repairing passengers' trust in the platforms.Design/methodology/approachA field survey based on a real scenario (n = 238) and an experiment (n = 245) were conducted to test the hypotheses empirically. Structural equation modeling and one-way analysis of variance (ANOVA) are employed in the data analyses.FindingsThis study finds that (1) both SPs and apologies aid in repairing trust; (2) repaired trust fully mediates the influence of SPs on continuance usage and partially mediates the influence of apologies on continuance usage; (3) security polices and the three dimensions of apologies play different roles in repairing trust and retaining passengers and (4) both pull-based and push-based SPs can repair the violated trust; however, the effect of the pull approach is greater than that of the push approach.Practical implicationsThe findings provide guidelines for ride-sharing platforms in taking appropriate actions to repair users' trust after security incidents.Originality/valueThe findings reveal the mechanism of trust repairing in the fields of ride-sharing and extend the contents of the trust theory and pull–push theory.
Adoption of contract farming for managing agricultural risks: a case study in rice production in the Mekong Delta, Vietnam
Authors: Pham Thuyen Thi , Dang Hoa Le , Pham Ngoc Thi Anh , Dang Huy Duc 
Published: September 2021

Purpose
Farmers' risk attitudes and risk perceptions play an essential role in shaping risk management strategies to address risks and uncertainties. Contract farming is considered as one of the feasible approaches to tackle farmers' concerns. However, risk perspectives under various categories have not been included in studies on farmers' preferences for contract farming in the literature, especially in Vietnam. This study aims to determine factors affecting farmers' choices of different contract farming practices.

Design/methodology/approach
The explanatory factor analysis (EFA) and multinomial logit model (MNL) were applied to explore the impacts of risk perspectives on farmers' preferences for contract farming. Data have been collected from 211 rice farmers in An Giang Province, “the rice bowl” of the Mekong Delta, Vietnam.

Findings
The study found that farm size, cooperatives, extension, market access and trust have significantly impacted on contract participation while a delay payment was a barrier for farmers' motivation to opt for the contract. Farmers' contract choices were also influenced by their risk attitudes and perceptions under different risk dimensions. The financial, policy and human risk-averse behavior predisposed farmers to single out the full contract while the policy and human risk-loving and production, market and finance risk-averse respondents were in favor of the marketing contract. Moreover, the findings indicated that the more farmers concerned about risk of weather and market, the more choices for the full contract, whereas the risk perceptions of weather and policy encouraged farmers to use the limited contract. By contrast, farmers who perceived the impacts of risk of diseases/pests and human were likely to adopt the marketing contract.

Research limitations/implications
This study just focuses on collecting data from farmers’ perspective. Future studies involving stakeholders such as enterprises and policy makers are strongly recommended so as to design suitable contracts and enforce contract schemes effectively in Vietnam.

Originality/value
The findings also contribute to the literature on different types of contracts and the multidimensional aspect of risk for rice production in Vietnam.