bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of ensemble recurrent model with stacked fuzzy ARTMAP for breast cancer detection
Authors: Das Abhishek , Mohanty Mihir Narayan 
Published: June 2022

PurposeIn time and accurate detection of cancer can save the life of the person affected. According to the World Health Organization (WHO), breast cancer occupies the most frequent incidence among all the cancers whereas breast cancer takes fifth place in the case of mortality numbers. Out of many image processing techniques, certain works have focused on convolutional neural networks (CNNs) for processing these images. However, deep learning models are to be explored well.Design/methodology/approachIn this work, multivariate statistics-based kernel principal component analysis (KPCA) is used for essential features. KPCA is simultaneously helpful for denoising the data. These features are processed through a heterogeneous ensemble model that consists of three base models. The base models comprise recurrent neural network (RNN), long short-term memory (LSTM) and gated recurrent unit (GRU). The outcomes of these base learners are fed to fuzzy adaptive resonance theory mapping (ARTMAP) model for decision making as the nodes are added to the F_2ˆa layer if the winning criteria are fulfilled that makes the ARTMAP model more robust.FindingsThe proposed model is verified using breast histopathology image dataset publicly available at Kaggle. The model provides 99.36% training accuracy and 98.72% validation accuracy. The proposed model utilizes data processing in all aspects, i.e. image denoising to reduce the data redundancy, training by ensemble learning to provide higher results than that of single models. The final classification by a fuzzy ARTMAP model that controls the number of nodes depending upon the performance makes robust accurate classification.Research limitations/implicationsResearch in the field of medical applications is an ongoing method. More advanced algorithms are being developed for better classification. Still, the scope is there to design the models in terms of better performance, practicability and cost efficiency in the future. Also, the ensemble models may be chosen with different combinations and characteristics. Only signal instead of images may be verified for this proposed model. Experimental analysis shows the improved performance of the proposed model. This method needs to be verified using practical models. Also, the practical implementation will be carried out for its real-time performance and cost efficiency.Originality/valueThe proposed model is utilized for denoising and to reduce the data redundancy so that the feature selection is done using KPCA. Training and classification are performed using heterogeneous ensemble model designed using RNN, LSTM and GRU as base classifiers to provide higher results than that of single models. Use of adaptive fuzzy mapping model makes the final classification accurate. The effectiveness of combining these methods to a single model is analyzed in this work.
Modified vector field and nonlinear guidance law for low-cost UAV path following
Authors: He Mo , Wang Xiaogang , Cui Naigang 
Published: June 2022

Purpose
The purpose of this paper is to present a high accuracy path following method for low-cost fixed-wing UAVs.

Design/methodology/approach
The original vector field (VF) algorithm is condensed. A spatial integration mechanism is added to the existing VF and nonlinear guidance law, aiming to decrease steady-state cross-track-error and cope with long-term disturbance.

Findings
Numerical simulations show the proposed method could diminish steady-state cross-track-error effectively. Test flights show the proposed method is applicable on low-cost fixed-wing UAVs.

Practical implications
The path following accuracy shown in simulations and test flights indicates the proposed method could be deployed in scenarios including inflight rendezvous, formation, trafficway take-off and landing.

Originality/value
This paper provides an improved high-accuracy path following method for low-cost fixed-wing UAVs.
Developing a monitoring and evaluation framework in a humanitarian non-profit organisation using agile methodology
Authors: Kelly Leanne M. , Goodall Julia , Lombardi Lauren 
Published: June 2022

PurposeThis paper relays the process the authors used to develop a monitoring and evaluation (M&E) framework in the emergency services team at Australian Red Cross. The paper aims to provide useful information and guidance to support others to build and improve their M&E frameworks, which are fundamental for guiding achievement of department or organisational goals.Design/methodology/approachThis paper uses a case study to describe the participatory agile methodology applied to develop the framework. The completed framework includes indicators mined from pre-existing literature and highlights the benefits of using an agile and participatory approach to cultivate user buy-in, enhance operational relevance and create timely results.FindingsDevelopment of the M&E framework streamlined measurement across the team, improved programmatic strategic alignment, identified gaps in data collection and promoted utilisation of evaluative information. Additionally, it was an exercise in evaluation capacity building, with many process uses, which positively influenced the implementation stage.Originality/valueThere are very few scholarly papers that outline the process taken to develop M&E frameworks, and none in the humanitarian, emergency services field. Additionally, this paper offers an innovative use of agile in facilitating a collaborative, sustainable and meaningful framework.
Applying situational analysis to examine the impact of VOICES on people experiencing multiple disadvantage
Authors: Spyropoulos Konstantinos , Gidlow Christopher James , McCormack Fiona , Meakin Andy , Hine Rachele , Fedorowicz Sophia 
Published: June 2022

Purpose
This paper reports the use of situational analysis as a systems methodology to evaluate the voices of independence change and empowerment in the Stoke-on-Trent (VOICES) partnership project.

Design/methodology/approach
Using situational analysis and drawing on a range of secondary data sources, a three-stage conceptual mapping process provided a detailed picture of both the non-linear interlinkage and complexity of the local system that VOICES was working to influence, as well as the processes that shaped the experiences of those who act within the situation.

Findings
Data highlighted the systemic challenges facing VOICES customers (e.g. stigma and marginalisation and lack of legal literacy), progress made by VOICES in each of their priority areas and an overarching theme of VOICES promoting equity (rather than equality) to address failure demand in the system of support for people with multiple needs and disadvantage.

Originality/value
The authors present the novel application of situational analysis to demonstrate a substantial impact of VOICES while demonstrating the value of this methodology for complex systems thinking research and evaluation.
The synergistic impact of market and technology orientations on sustainable innovation performance: evidence from manufacturing firms
Authors: Alerasoul S. Alireza , Afeltra Giovanna , Bouncken Ricarda B. , Hakala Henri 
Published: June 2022

PurposeThe purpose of this study is to identify groups of manufacturing firms having different combinations of strategic orientation (market and technology orientations) and compare the viable groups for differences in their sustainable innovation (SI) performance.Design/methodology/approachA sample of 373 Italian manufacturing firms is clustered (using non-hierarchical cluster analysis) based on their combinations of market orientation (MO) and technology orientation (TO). Subsequently, the one-way between-groups analysis of variance (ANOVA) with post-hoc tests is conducted to detect how the resulting groups differ in their SI performance.FindingsThe synergistic co-alignment of TO with both dimensions of MO (i.e. responsive and proactive) can help firms enhance their performance regarding SI. Amongst the groups of manufacturing firms identified in the context of this research, ‘future-oriented entrepreneurs’ appear to represent the strongest combination of MO with TO, leading them to achieve higher levels of SI performance.Research limitations/implicationsThis study, by referring to a survey-based empirical study of manufacturing firms in Italy, extends the literature by arguing that higher levels of balanced TO–MO results in greater SI performance. To confirm and extend the results of this work, future research should assess the examined combinations of orientations in other contexts, and with respect to other performance variables (e.g. sustainable entrepreneurship).Practical implicationsBy recognizing the real value of foresight practices, manufacturing firms should be equipped with organizational capabilities that enable them to systematically predict potential discontinuities, explore the future and simultaneously maximize their innovation and technology capacity. The findings of this research provide insights to managers on how to invest in resources linked to different configurations of MO and TO so that they can lead to the improvement of sustainability-oriented innovation performance.Originality/valueThis work represents a first attempt to explore the viable combinations of MO (including responsive and proactive dimensions) with TO in the manufacturing context, and to investigate how these combinations contribute to different levels of SI performance.
The influence of corporate governance on the performance of family-controlled firms: exploring the effects of legal jurisdiction
Authors: Xu Ella Guangxin , Yang Joey W. , Shan Yuan George , Graves Chris 
Published: June 2022

PurposeThis study investigates effects of corporate governance on the financial performance of family-controlled firms and how these effects differ between common law and civil law jurisdictions.Design/methodology/approachThis study applies a number of corporate governance measures to the largest 243 publicly listed family-controlled businesses worldwide from 2009 to 2018. The corporate governance measures include board independence, board gender diversity, corporate governance index (CGI) and the percentage of family ownership.FindingsThe empirical evidence indicates that board independence improves financial performance; this positive effect is more pronounced in common law than civil law jurisdictions. Board gender diversity has a negative impact on financial performance under common law but a positive impact in civil law jurisdictions. Moreover, the CGI and family ownership structure are positively associated with financial performance, and no difference is found between the two jurisdiction types. In addition, family ownership negatively moderates CGI in civil law countries only.Originality/valueThis study provides new insight on the relevance of considering jurisdictional differences when examining the effect of corporate governance on performance. The study also addresses important concerns in family business research relating to unobserved heterogeneity and endogeneity. Implications of these for research and practice are discussed in the paper.
Organisational capabilities and small and medium sized firms’ attainment of innovation outcomes: the moderating roles of exports and formal business networks
Authors: Liu Gordon , Liu Weixi , Ko Wai Wai 
Published: June 2022

PurposeThe authors examine the influence of planning and execution capability (PEC) and operational improvement capability (OIC) on small-and-medium-sized firms’ (SMEs) attainment of different innovation outcomes under the conditions of exports and formal business networks, based on the capability-based perspective and organisational learning literature.Design/methodology/approachThe authors analyse time-series data about UK SMEs, extracted from the 2015 and 2016 UK Longitudinal Small Business Surveys (LSBS).FindingsThe authors failed to find any direct effects of PEC and OIC on product innovation outcomes. However, the authors discovered that OIC supports the generation of process innovation outputs more strongly than PEC. Additionally, exports and formal business networks provide SMEs with different learning opportunities. The authors find limited support that exports amplify the beneficial effect of PEC on product innovation outcomes more than formal business networks. On the other hand, formal business networks strengthen the effect of PEC on process innovation outcomes more than exports. As a result, exports reduce the beneficial effect of OIC on product innovation outcomes more than formal business networks. However, formal business networks weaken the beneficial effect of OIC more than exports.Originality/valueThe authors distinguish between two types of organisational capabilities – PEC and OIC – and examine their impact on SMEs in achieving innovation outcomes. The authors also identify SMEs’ involvement in exports and formal business networks as the important boundary conditions for such effects. xD; xA; xD; xA;
Age and COVID-19 mortality in the United States: a comparison of the prison and general population
Authors: Nowotny Kathryn , Metheny Hannah , LeMasters Katherine , Brinkley-Rubinstein Lauren 
Published: June 2022

Purpose
The USA has a rapidly aging prison population that, combined with their poorer health and living conditions, is at extreme risk for COVID-19. The purpose of this paper is to compare COVID-19 mortality trends in the US prison population and the general population to see how mortality risk changed over the course of the pandemic. The authors first provide a national overview of trends in COVID-19 mortality; then, the authors assess COVID-19 deaths among older populations using more detailed data from one US state.

Design/methodology/approach
The authors used multiple publicly available data sets (e.g. Centers for Disease Control and prevention, COVID Prison Project) and indirect and direct standardization to estimate standardized mortality rates covering the period from April 2020 to June 2021 for the US and for the State of Texas.

Findings
While 921 COVID-19-related deaths among people in US prisons were expected as of June 5, 2021, 2,664 were observed, corresponding to a standardized mortality ratio of 2.89 (95%CI 2.78, 3.00). The observed number of COVID-19-related deaths exceeded the expected number of COVID-19-related deaths among people in prison for most of the pandemic, with a substantially widening gap leading to a plateau about four weeks after the COVID-19 vaccine was introduced in the USA. In the state population, the older population in prison is dying at younger ages compared with the general population, with the highest percentage of deaths among people aged 50–64 years.

Research limitations/implications
People who are incarcerated are dying of COVID-19 at a rate that far outpaces the general population and are dying at younger ages.

Originality/value
This descriptive analysis serves as a first step in understanding the dynamic trends in COVID-19 mortality and the association between age and COVID-19 death in US prisons.
Managing disruptive external forces in international marketing
Authors: Jeong Insik , Jean Ruey-Jer Bryan , Kim Daekwan , Samiee Saeed 
Published: June 2022

PurposeDisruptive external forces can bring businesses to a standstill and make their strategic plans obsolete overnight. COVID-19 exemplifies such a disruptive force, which has caused worldwide havoc and ongoing disruption in many sectors of the economy, while concurrently providing great opportunities for others. The goal in this study is to examine the experiences of firms that have been impacted by a prior disruptive force, offer five theoretical lenses for framing and examining such events, and provide a set of axioms based on the research findings.Design/methodology/approachThe authors used a qualitative approach involving five short international marketing case studies of firms based in South Korea and Taiwan. These nations and firms were selected on the bases of their overall judicious navigation of the conditions presented by the COVID-19 pandemic. The authors gathered information about these firms through primary sources of information (personal and remote interviews as well as other communications), which the authors augmented with information from secondary sources.FindingsThe results indicate that external forces can bring both opportunities and threats to firms' international marketing strategies. The authors found that two strategies help firms cope with managerial issues associated with both the demand and the supply sides in successful firms in these nations: (1) leveraging opportunities presented by the pandemic through the successive introductions of new product and (2) the expansion of both the domestic and international markets.Research implicationsThe research provides five theoretical lenses to articulate the impact of disruptive external forces on international marketing strategies.Practical implicationsThe research offers thirteen demand and supply side axioms for marketing managers involved in international business (e.g. exporters, importers, MNCs) to cope with disruptive external forces, like COVID-19.Social implicationsDisruptive external forces, such as the pandemic, have enormous impact on firms and consumers alike. This research aims to limit the negative impact of future disruptions by engaging in contingency planning and added resilience, through which firms may continue to function and, to a large extent, consumers are able to acquire the necessary goods and services to maintain their quality of life.Originality/valueThe authors attribute the quicker response of these firms to their agility in managing the market impacts related to COVID-19 and to their prior conditioning in their respective geopolitical spheres. The authors summarize the findings in a set of nine supply side and a set of four demand side axioms.
How does supply chain knowledge enhance green innovation? The mediation mechanisms of corporate reputation and non-supply chain learning
Authors: Agyabeng-Mensah Yaw , Afum Ebenezer , Acquah Innocent Senyo Kwasi , Baah Charles 
Published: June 2022

Purpose
Understanding the factors that advance green innovation is crucial for firms to deal with the complexity of green innovation. In light of this, this study aims to explore the influence of supply chain knowledge, non-supply chain learning and corporate reputation on green innovation.

Design/methodology/approach
This study uses a quantitative research approach where data is gathered from managers of 208 small and medium enterprises in Ghana using survey questionnaires. The structural equation modeling is used to analyze the survey data.

Findings
The findings reveal supply chain knowledge relates positively with non-supply chain learning, corporate reputation and green innovation. Corporate reputation also impacts green innovation positively and provides partial mediation effect between supply chain knowledge and green innovation. Meanwhile, non-supply chain learning does not relate positively with green innovation as well as fails to mediate the impact of supply chain knowledge on green innovation.

Originality/value
This study contributes to knowledge in the mediating mechanisms of corporate reputation and non-supply chain learning between supply chain knowledge and green innovation. Through this, the authors propose a theoretical model to explain how firms can leverage supply chain knowledge, corporate reputation and non-supply chain learning to improve green innovation and can serve as the basis for further theoretical and empirical research in innovation and external sources of knowledge.
Pilot exploration of low-intensity psychoeducation workbook interventions in a prison setting, adapted for use throughout the COVID-19 pandemic
Authors: Wilson Lauren , Dervley Rebekah 
Published: June 2022

Purpose
This paper aims to explore the use of low intensity in-cell workbooks within a psychological therapies service for male prisoners, an intervention adapted for use during the COVID-19 pandemic. It seeks to explore the effectiveness of the intervention in reducing psychological distress, explore individuals’ progression through the service following engagement with the workbooks and, finally, to understand individual’s experiences of the intervention through evaluating feedback provided.

Design/methodology/approach
CORE-10 scores from 66 male prisoners at a Category C prison were evaluated pre and post completion of an adapted in-cell workbook intervention, to explore the potential effectiveness of the intervention in reducing psychological distress. Qualitative feedback given by participants was also explored to understand individual’s experiences of engaging with the intervention.

Findings
Evaluation of 66 male prisoners revealed significant reductions in psychological distress on the CORE-10. Findings demonstrated that over half of men included in the evaluation were “stepped-up” for further interventions as per the stepped-care treatment model. Feedback forms highlighted the value of the therapeutic relationship and a “something versus nothing” approach.

Research limitations/implications
The paper considers several limitations to the research approach, of which future studies should seek to explore when carrying out similar research.

Practical implications
The paper includes implications for the use of low intensity self-help interventions in prison psychological services, during a time when the provision of face-to-face interventions was limited due to the COVID-19 pandemic.

Originality/value
The paper explores the use of self-help materials in psychological treatment settings, of which there is very little research on in prisons. In addition, the paper contributes to the body of research on psychological well-being during the COVID-19 pandemic.
Financial development and institutional quality among emerging economies
Authors: Abaidoo Rexford , Agyapong Elvis Kwame 
Published: June 2022

PurposeThis study examines how institutional quality influences variability in financial development among economies in Sub-Saharan Africa (SSA).Design/methodology/approachEmpirical estimations verifying various relationships are performed using the limited information maximum likelihood (LIML) estimation technique.FindingsThe results suggest that institutional quality enhances the pace of financial development among economies in the sub-region all things being equal. In a further micro-level analysis where components of institutional quality index are examined separately, the study’s results suggest that effective governance, regulatory quality, rule of law and accountability tend to have a significant positive impact on financial sector development.Research limitations/implicationsFindings of the study suggest that policies geared towards improving governance and regulatory institutions can augment development of the financial sector among economies in SSA; governments and policymakers are therefore encouraged to resource noted institutions to play effective roles for the development of the financial sector.Originality/valueCompared to related studies, this study reorients existing paradigm, which emphasizes the role of governance and institutional variables in the economic growth discourse. The authors’ empirical inquiry rather focuses on how governance and institutional structures influence regional financial development dynamics. Specifically, this study differs from most macro-level studies found in literature because it examines the impact of hitherto unexamined governance and institutional variables on financial development among economies in SSA.