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The study aims to cope with the problems confronted in the skin lesion datasets with less training data toward the classification of melanoma. The vital, challenging issue is the insufficiency of training data that occurred while classifying the lesions as melanoma and non-melanoma.

In this work, a transfer learning (TL) framework Transfer Constituent Support Vector Machine (TrCSVM) is designed for melanoma classification based on feature-based domain adaptation (FBDA) leveraging the support vector machine (SVM) and Transfer AdaBoost (TrAdaBoost). The working of the framework is twofold: at first, SVM is utilized for domain adaptation for learning much transferrable representation between source and target domain. In the first phase, for homogeneous domain adaptation, it augments features by transforming the data from source and target (different but related) domains in a shared-subspace. In the second phase, for heterogeneous domain adaptation, it leverages knowledge by augmenting features from source to target (different and not related) domains to a shared-subspace. Second, TrAdaBoost is utilized to adjust the weights of wrongly classified data in the newly generated source and target datasets.

The experimental results empirically prove the superiority of TrCSVM than the state-of-the-art TL methods on less-sized datasets with an accuracy of 98.82%.

Experiments are conducted on six skin lesion datasets and performance is compared based on accuracy, precision, sensitivity, and specificity. The effectiveness of TrCSVM is evaluated on ten other datasets towards testing its generalizing behavior. Its performance is also compared with two existing TL frameworks (TrResampling, TrAdaBoost) for the classification of melanoma.

This paper aims to explore the deep Web as a solution for displacement and replacement challenges in libraries, addressing the challenges, benefits, strategies and case studies.

The paper synthesizes existing literature on deep Web integration in libraries, providing a comprehensive analysis of insights from scholarly articles, case studies and expert opinions.

The deep Web grants libraries access to unique content, improving information access, fostering collaboration and enabling personalized content. However, security, privacy, ethics and data protection must be considered.

This paper contributes to the literature by providing a comprehensive examination of deep Web integration in libraries, offering valuable recommendations for navigating the changing landscape and leveraging the deep Web’s potential.

Knowledge sharing for evidence-based climate change adaptation is key to reducing vulnerabilities. The disastrous effects of the recent tropical cyclone Idai in Zimbabwe’s eastern highlands, whereby lives and livelihoods were destroyed, calls for fundamental rethinking on how knowledge sharing can be useful in reducing vulnerabilities. This study aims to examine how knowledge sharing practices among selected climate action organisations can support positive results in evidence-based climate change adaptation in Zimbabwe and recommends a strategy to enhance knowledge sharing for evidence-based climate change adaptation.

The researcher opted for a qualitative research methodology, and interviews were conducted with research participants to get in-depth information. The target population for the research is drawn from three climate change organisations in Zimbabwe. These participants were chosen because of their direct involvement in climate change adaptation and mitigation. Purposive sampling was used because it was considered an easy and informal method to reach the target population. The responses were coded and readied for analysis. Categories for analysis were also determined and described. The next section focuses on the presentation and interpretation of the responses.

The study found out that even though there is evidence of knowledge sharing in the selected organisations, there was a need for a strategy that integrates the efforts of all climate action organisation to realise successful climate change adaptation. Successful climate change adaptation requires an integrative force in the form of a strategy that supports knowledge sharing. The strategy breaks the silo mode of operation by bringing together all stakeholders through knowledge sharing.

The research study was unique to the Zimbabwean climate change and adaptation context and only a purposive sampling of participants representing three climate change action was feasible.

The proposed model will enhance knowledge sharing among climate change and adaptation organisations in Zimbabwe. It will transform knowledge management practices among climate change organisations in Zimbabwe.

The study recommends a knowledge sharing strategy that can be useful in supporting climate change adaptation. The model will support decision-making by providing access to shareable information on climate change. The proposed knowledge sharing strategy integrates the efforts of all stakeholders, including communities, government and academia, among many. The study proposes an original model for climate change adaptation for Zimbabwe.

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.

The purpose of this paper was to assess the effects of quality coffee production on climate change adaptation using household surveys and interview data gathered from coffee farmers in Yirgacheffe, southern Ethiopia.

A sample of 352 households, stratified into conventional coffee farmers 232 (66%) and specialty coffee producers 120(34%), was used. The propensity score model for participating in quality coffee production was estimated using 14 covariates, and the impact of quality coffee production on adaptation to climate change adaptation was examined. The results are augmented with qualitative data collected through focus group discussions and key informant interviews held with randomly selected smallholder farmers. A telecoupling theoretical perspective was used to understand the link between coffee farmers’ adaptation practices and the demand for quality coffee, as coffee is a global commodity.

The PSM analysis reveals that quality coffee production positively influences climate change adaptation. This implies that conventional coffee producers would have performed better in adaptation to climate change if they had participated in quality coffee production. The results of group discussions also confirm the positive effects of quality coffee production on adaptation to climate change, which also suggests a positive spillover effects for sustainable coffee farm management.

This study suggests enhancing quality coffee production is essential if a more sustainable and climate change resilient coffee livelihood is envisioned.

Though many studies are available on adaptation to climate change in general, this study is one of the few studies focusing on the effects of quality coffee production on climate change adaptation by smallholders in one of the least developed countries, Ethiopia. This study provides a better understanding of the importance of adaptation strategies specific to coffee production, which in turn help develop a more resilient coffee sector, as coffee production is one of the most sensitive activity to climate change.

The purpose of this paper is to explore the implementation of a theoretically grounded coach education training programme for youth football coaches in Norway, through observational methods. In particular, it focuses on implementation fidelity and programme adaptation, and possible differences between the coach educators (CEs) according to their level of experience.

Implementation fidelity and programme adaptations for seven CEs were explored through the use of a fidelity scale and in-depth qualitative analyses. Participant responsiveness was applied to inform the observational analyses.

Results showed that most of the programme was implemented with moderate to high fidelity, and that it was adapted when delivered. Most of the adaptations seemed to be positive, aligning with the programme’s theoretical foundation and goals. A few negative and neutral adaptations also occurred. The most experienced CEs seemed to deliver the programme with highest fidelity and they also made most positive adaptations. The findings, supported by the participants’ evaluation of the programme delivery, indicate that these CEs also delivered the programme with high quality.

In the field of implementation research there is a need for further studies applying observational methods to explore programme effectiveness in relation to implementation fidelity, adaptations made and the quality of programme delivery.

This study applies observational methods to evaluate the fidelity of implementation and adaptations made when implementing a coach education programme, and based on these findings quality of delivery is discussed.

This paper aims to propose a collaborative approach toward an integrated vulnerability assessment to climate change in Germany that attempts to bridge the gap between scientific output and policy demand.

Conceptually, the approach follows the definition of vulnerability as used by the Intergovernmental Panel on Climate Change, but it has modified this basic concept. It clearly distinguishes between three time slices (presence, near and remote future) not only regarding the change in the climatic conditions but also socio-economic development trends.

The paper concentrates on the selected methodological framework, the collaborative research design and those preliminary results of the nationwide vulnerability assessment that are transferable to other settings.

A Vulnerability Network (“Netzwerk Vulnerabilitaet”) emerged from an applied research project commissioned under the Adaptation Action Plan of the German Strategy for Adaptation to Climate Change by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the Federal Environment Agency. The assessment serves as evidence basis for the implementation of the German Adaptation Strategy. Thus, all relevant federal authorities and agencies are represented in the Vulnerability Network.

The approach is the first really integrative vulnerability assessment for the whole Germany, as it considers not only 16 sectors but also interconnections between these sectors and cumulative effects for three different time slices. Moreover, the normative component of the assessment was clearly separated from the analytic one. The Vulnerability Network as a whole has been responsible for all normative decisions to be taken during the assessment procedure thus ensuring a wide understanding and acceptance of commonly achieved results.

This paper aims to illustrate how graphic novel adaptations can engage adolescents in conversations about gender and society, particularly when adaptations are weighed against messaging found in a student’s everyday life such as religiously motivated gender normativity.

This paper is based on quantitative and qualitative analyzes of the interview, think-aloud and survey data collected from 15 adolescents who self-identified as Modern Orthodox Jewish women. Texts used for think-aloud were three graphic novel adaptations that critically adapted potentially misogynistic readings and interpretations of religious Jewish texts such as the Bible.

Epistemic network analysis and constructivist grounded theory show that visual elements found in each adaptation can spark deeply personal reflections on topics that are often explicitly or implicitly suppressed by social norms such as gender normativity in Jewish texts and practices.

This paper is timely and contributes to understanding the apparent cultural clash between religious conservativism and movements for social change, using the graphic novel to mediate between them.

This paper conceptualises how managers psychologically experience and respond to crises via metaphor analysis.

This paper uses a discourse dynamics approach to metaphor analysis. Conceptual metaphors were analysed and developed into concept maps through 37 semi-structured interviews with senior managers from different portfolios within 16 public universities in South Africa after #FeesMustFall protests.

Five domains emerged, including (1) looming crisis, (2) crisis onset, (3) crisis triage and containment, (4) (not) taking action and (5) post-crisis reflection. These domains shape a framework for the crisis adaptation cycle.

This study suggests that organisations should pay more attention to understanding emotions in crises and can use the adaptation model to develop their managers. It shows how metaphors can help explain affective and cognitive experiences and how emotions shift and evolve during a crisis. Managers should be aware of early signs of the crisis and its potential impact on their business operation in the looming and recognition stages, analyse the situation and work collectively on possible actions to minimise losses and maximise gains.

This is a rare investigation into the emotions of senior managers in the public sector in a social movement and national crisis via unconventional research methods to advance cognitive appraisal theory in crisis management.

This paper aims to describe the conduct and outcomes of an integrated assessment (IA) of the vulnerability to climate change of government service provision at regional scale in New South Wales, Australia. The assessment was co-designed with regional public sector managers to address their needs for an improved understanding of regional vulnerabilities to climate change and variability.

The study used IA of climate change impacts through a complex adaptive systems approach incorporating social learning and stakeholder-led research processes. Workshops were conducted with stakeholders from NSW government agencies, state-owned corporations and local governments representing the tourism, water, primary industries, human settlements, emergency management, human health, infrastructure and natural landscapes sectors. Participants used regional socioeconomic profiling and climate projections to consider the impacts on and the need to adapt community service provision to future climate.

Many sectors are currently experiencing difficulty coping with changes in regional demographics and structural adjustment in the economy. Climate change will result in further impacts on already vulnerable systems in the forms of resource conflicts between expanded human settlements, the infrastructure that supports them and the environment (particularly for water); increased energy costs; and declining agricultural production and food security.

This paper describes the application of meta-analysis in climate change policy research and frames climate change as a problem of environmental pollution and an issue of development and social equity.