Systematic Quantitative Analysis Research Articles

Dynamics and landscape of academic discourse on environmental attitudes and behaviors since the 1970s.

This study addresses the lack of systematic review and analysis of the academic discourse on environmental attitudes and behaviors. Despite the wealth of knowledge published in academic journals, there is a need to understand the order and content of this discourse, including the employed theoretical approaches and empirical evidence. A combination of systematic literature review and quantitative content analysis methods was employed. Articles for analysis were identified through Web of Science and SCOPUS, followed by a detailed analysis of 200 papers from the journal Environment and Behavior. The study aimed to explore the historical stages, theoretical diversity, and the empirical evidence brought forward in the academic discourse on environmental attitudes and behaviors. The findings reveal distinct historical stages within the academic field of environmental attitudes and behaviors. There is a notable growth in theoretical diversity and intensity of the discourse, particularly after 2000. The dominance of socio-psychological explanatory models is evident. Furthermore, the empirical evidence base is geographically limited, mostly coming from the US. The study discusses the limitations of the academic discourse on environmental attitudes and behaviors and provides guidelines for future research. It emphasizes the need to address the identified shortcomings, such as expanding theoretical perspectives and increasing the geographical diversity of empirical evidence. The study's findings contribute to understanding the development and characteristics of the academic field, while also identifying avenues for further exploration.

From Late Bloomer to Booming: A Bibliometric Analysis of Women’s, Gender, and Feminist Studies in Portugal

Women’s, Gender, and Feminist Studies (WGFS) in Portugal emerged relatively late compared to other European countries, and a systematic quantitative analysis of Portuguese research in this field is lacking. This article addresses this gap by conducting a pioneering bibliometric analysis of WGFS publications by scholars based in Portugal between 1995 and 2021, utilizing data from the Web of Science. The analysis reveals several key findings, including a significant growth in WGFS productivity in the 2010s, a high level of internationalization of Portuguese production, and the increasing prominence of specific themes and theoretical perspectives, such as LGBTQIA+ studies and intersectionality. By examining the trajectory of Portuguese scholarship in WGFS since the 1990s, this study provides valuable insights and opens important avenues for future research.

Climate Change, Carbon Peaks, and Carbon Neutralization: A Bibliometric Study from 2006 to 2023

Climate change poses a threat to the survival of the human race. Increased interest in climate change, carbon peaks, and carbon neutralization and rising recognition of the challenges inherent to highlighting this issue provides the opportunity to carry out a bibliometric study to identify what research can generate ideas regarding climate change, carbon peaks, and carbon neutralization. As expected, it may align with the dual goals of the Chinese government agenda in terms of a carbon peak and carbon neutralization in 2030 and 2060, respectively. The recent argument has induced calls for improved transparency and standardization in the approaches adopted to synthesize climate change, carbon peak, and carbon neutralization research. Nevertheless, key questions are still unanswered, namely, what are the key contributions that the research community has produced in relation to climate change, carbon peaks, and carbon neutralization? Have their contributions been inclined toward specific geographical areas, directions, and themes? As such, software tools for bibliometric analysis, VOSviewer, and Python were used to conduct a systematic quantitative analysis of the relevant literature on climate change, carbon peaks, and carbon neutralization. The results show that carbon peaks and carbon neutralization have received wide attention from academic scholars. In the meantime, China faces the unfolding challenges of economic, technological, and political factors that need to be addressed to achieve carbon peak and carbon neutralization. This study provides policy implications for achieving China’s emission reduction targets.

Land Surface Greening and CO2 Fertilization More than Offset the Gross Carbon Sequestration Decline Caused by Land Cover Change and the Enhanced Vapour Pressure Deficit in Europe

Satellite observations have revealed strong land surface “greening” (i.e., increases in vegetation greenness or leaf area index (LAI)) in the Northern Hemisphere over the past few decades. European terrestrial ecosystems are a greening hotspot, but how they respond to land surface greening, climate change, CO2 fertilization, land use and land cover change (LULCC) and other factors is unclear. Here, we assessed how these interacting factors might be combined to alter terrestrial gross primary production (GPP) throughout Europe during the period of 2001 to 2016 using a process-based Farquhar GPP model (i.e., FGM). We found a more productive European terrestrial ecosystem and most of the GPP enhancement in Europe was explained by increases in LAI (62%) and atmospheric CO2 concentration (29%). Spatially, the spatial signature of the LAI and GPP trends both suggested widespread (72–73% of the vegetated area) greening phenomena across Europe, among which 23.7% and 13.3% were statistically significant (p < 0.05). The interannual trend of GPP estimated by the FGM (0.55% yr−1) was reasonable compared with other GPP products (0.47% yr−1 to 0.92% yr−1) and the observed LAI increasing rate (0.62% yr−1). FGM factorial simulations suggested that land surface greening (+35.5 Pg C yr−2, p < 0.01), CO2 fertilization (+16.9 Pg C yr−2, p < 0.01), temperature warming (+3.7 Pg C yr−2, p < 0.05), and enhanced downwards solar radiation (+1.2 Pg C yr−2, p > 0.05) contributed to the GPP enhancement, while the enhanced vapour pressure deficit (−5.6 Tg C yr−2, p < 0.01) had significant negative impacts on GPP, especially in 2006 and 2012, when extreme droughts struck south-eastern Europe. Meanwhile, approximately 1.8% of the total area of Europe experienced LULCC from 2001 to 2016 and LULCC exerted a small but significant (−1.3 Tg C yr−2, p < 0.01) impact on GPP due to decreases in the total number of vegetated pixels (−159 pixels yr−1). Although the LULCC effect was negative, the largest increase occurred in forested land (+0.9% of total area). In addition, the increasing trends for the annual mean LAI (0.01 m2 m−2 yr−1, p < 0.001) and total GPP (22.2 Tg C yr−2, p < 0.001) of forests were more significant and higher than those of other vegetation types, suggesting that European forests may continue to play important roles in combating climate change in the future with long-lasting carbon storage potential. These results provide the first systematic quantitative analysis of the driving force of enhanced gross carbon assimilation by European ecosystems by considering variations in leaf physiological traits with environmental adaptations.

Representative grain boundaries during anisotropic grain growth

Conventional grain growth models do not account for the variability in grain boundary (GB) mobility, GB energy, and solute segregation energy that depend in detail on the GB structure. Instead, these parameters are typically determined empirically from experimental measurements. In this study, we present a systematic quantitative analysis that accounts for anisotropic GB properties, i.e., GB mobility and solute drag pressure to rationalize the average grain size evolution using representative GB properties under normal grain growth conditions in a non–textured system. We perform two–dimensional phase field simulations to analyze the role of (1) anisotropic mobility, (2) anisotropic segregation, and (3) combined anisotropic mobility and segregation on the average grain size evolution. A corresponding “representative GB” is introduced for each case considering a phenomenological grain growth model that fits the simulated average grain size evolution. A relationship is proposed to determine the representative GB properties for an arbitrary distribution of anisotropic GB properties in the initial microstructure. Simulations with the combined variation of GB mobility and segregation energy suggest that the representative GB mobility and segregation energy determined from independent simulations with varying either GB mobility or segregation energy can be superimposed to determine the average grain size evolution in agreement with the phase field simulations. The limits of validity, i.e., the range of moderate anisotropies, are identified where the phenomenological model with representative GB properties may be applicable, i.e., as long as a mean grain size is an appropriate descriptor of the grain structure.

Referendum Campaigns in Hybrid Media Systems: Insights From the New Zealand Cannabis Legalisation Referendum

During New Zealand’s 2020 cannabis legalisation referendum, advocacy groups on both sides widely debated the issue, utilising “older” and “newer” media channels to strategically influence voters, including through appearances in traditional media and paid advertising campaigns on Facebook. Comparatively little is known about the campaign strategies used by each camp and how they leveraged the hybrid media environment to advocate for their positions. We analyse the cannabis legalisation referendum campaigns using primary data from our digital ethnographic study on Facebook, a systematic quantitative content analysis of legacy media websites, and a review of published reports from other authors. We show how positive sentiment towards cannabis law reform in the traditional media was amplified via referendum campaigners’ activity on Facebook. While campaign expenses on both sides were similar, money was spent in different ways and via different mediums. The pro-legalisation campaign focused more on new digital media channels, while the anti-legalisation campaign diversified across a range of mediums, with greater attention paid to traditional political advertising strategies, such as leaflets and billboards. The New Zealand case study illustrates how greater engagement with the “newer” media logics may not necessarily secure a favourable outcome during a national referendum campaign. We discuss how the broader media and political environment may have influenced campaigners’ choices to engage (or not) with the different media channels.

Pandemic and Emergency Manufacturing Innovation: A Scientometric Analysis Using CiteSpace.

Major epidemics have had a huge impact on the manufacturing industry. This study aimed to explore knowledge innovation in the field of emergency manufacturing during pandemics with a systematic quantitative analysis. Based on the Web of Science (WOS) Core Collection, the bibliometric method and the CiteSpace tool were used. A total of 286 literature were obtained from the WOS database. During coronavirus disease (COVID-19), there was a surge in the number of publications. A new field of research on pandemic-triggered emergency manufacturing is gradually forming with accumulated research output. The analysis of the document co-citation showed how the research on pandemic situations and viruses brought emergency manufacturing into the research scope of scholars, and what attempts were made by the original scholars. Pandemic-triggered research hotspots and research trends in the post-pandemic era mainly boiled down to 3 aspects: technological innovation, material innovation, and management innovation in the field of emergency manufacturing. COVID-19 strengthened academic exchange and cooperation and promotes knowledge output in this field. This study provides an in-depth perspective for emergency manufacturing research and helps researchers realize the panorama of this field and establish future research directions.

ԳՈՐԾԱՐԱՐՈՒԹՅԱՆ ՀԱՄԱԿՑՎԱԾ ՀԱՇՎԵՏՎՈՒԹՅՈՒՆՆԵՐԻ ՄԵԹՈԴԱԲԱՆԱԿԱՆ ՄԱՐՏԱՀՐԱՎԵՐՆԵՐԸ / Methodological challenges of integrated business reporting

In the near future, the combined published reports will be formed and published according to the requirements of international accounting standards (IFRS-S), where it will be clearly presented what findings will be made in the direction of the sustainable development of organizations. Naturally, the problem in this area will be how to measure and account for the results of sustainable development and the resources supporting their formation, which will then be the basis for further reporting findings. Of course, findings related to sustainable development in published reports may be descriptive in nature, without systematic quantitative analysis.

ІНТЕГРАЦІЯ БУДІВЕНЬНИХ ПІДПРИЄМСТВ ЯК ФАКТОР ПІДВИЩЕННЯ ЇХ КОНКУРЕНТОСПРОМОЖНОСТІ

The article examines modern business processes in Ukraine, which are increasingly implemented within the framework of joint activities of business groups. Considered important factors of sustainable economic development for construction enterprises. It was determined that at the current stage, one of the promising strategies for the development of the company's construction enterprises, which is implemented through the development and exploitation of new reserves of activity, is integration. The main reasons for the active growth of the market of integration processes, which contribute to the increase in the number of integration processes, are given. The structural and organizational aspect of coordinating the interests of the participants in the integration processes is defined. Considered important parameters within the framework of determining the quality of any type of organizational structure. The article also examines relations between interested parties in the construction industry. The specifics of the terminology were studied in detail and the main part2icipants in the construction process were identified. Competitive advantages and weaknesses of vertical and horizontal integration of construction enterprises in terms of their expediency in different market conditions are considered. According to the results of the research, it was determined that any integration, both vertical and horizontal, can become a tool for increasing the competitiveness of a construction organization. On the contrary, if decision-making is not based on a systematic quantitative analysis of all factors, integration can become a serious competitive weakness. In order for integration to lead to a sustainable and long-term competitive advantage, a detailed analysis of all possible risks is required, as the recovery costs can be high. Four reasons and requirements for vertical integration and their application to the domestic market of construction services are analyzed. It has been shown that insolvency and earnings growth of growth companies can have the greatest impact on vertical integration decisions. The most desirable type of vertical integration in the construction services market is direct integration, in which the construction company actually takes over the functions of the developer-client. Therefore, each integration, both vertical and horizontal, can become a tool for increasing the competitiveness of a construction company. Conversely, integration can become a serious competitive weakness if decision-making is not based on a systematic quantitative analysis of all factors. In order for integration to lead to a sustainable, long-term competitive advantage, a detailed analysis of all possible threats is necessary, as the costs of eliminating them can be high. Quasi-integration or partial integration should be considered as an alternative to full integration.

Interventions in the first 1000 days to prevent childhood obesity: a systematic review and quantitative content analysis

BackgroundChildhood obesity poses a global health challenge. In recent years, there has been an increase in interventions that begin in pregnancy, putting the concept of early programming and early risk factors into practice. The present study aims to update the findings regarding interventions in the first 1000 days of life.MethodsA systematic review based on the PRISMA guidelines was carried out in PubMed, WoS, Scopus and CINAHL to obtain the articles to be analysed. We included those studies published between 2016 and 2021. Human interventions that started within the first 1000 days of life and acted on at least one programming factor were included. Once selected, coding and quantitative content analysis was carried out to obtain a profile of the interventions during the first 1000 days.ResultsFrom all screened articles, 51 unique interventions, which met the selection criteria, were included. The majority of interventions (81%) took place in high-income areas. Almost all (86%) were targeted at the general population. The majority (54%) started in the second trimester of pregnancy. A clear majority (61%) ended at the time of birth. 44% of the interventions included all pregnant women. Only 48% of these interventions were focused on improving the nutritional status of the offspring in the short term. Most interventions collected the baby's weight at birth (68%).ConclusionsIt can be concluded that current interventions are not covering as many aspects as they should. Future research should be conducted more frequently in developing countries and target disadvantaged groups. These interventions should include all pregnant women, regardless of their nutritional status, aiming to cover as many programming factors as possible and extending through the first 1000 days of life, with body mass index or skinfolds as measures of effectiveness during this period.

Meta-analysis and Critical Review: Association Between Radio-induced Lymphopenia and Overall Survival in Solid Cancers

PurposeImmune system modulation, with the use of immune checkpoint inhibitors, has drastically changed the field of oncology. Strong preclinical data indicate that radiation therapy (RT) may enhance the response rate to such drugs via in situ vaccination, although these data do not consider immune radiotoxicity. This meta-analysis investigates whether radio-induced lymphopenia (RIL) is associated with overall survival (OS). Methods and MaterialsA systematic literature search and quantitative analysis were planned, conducted, and reported per the Preferred Reporting Items for Systematic Reviews and Meta-analyses and Quality of Reporting of Meta-analyses checklists. The literature from January 1990 to March 2021 was searched to identify clinical studies with OS data in patients treated with RT and presenting with lymphopenia. A random-effect model was employed for the meta-analysis. Heterogeneity was assessed using the I2 statistic. Publication bias was estimated using a P-curve analysis. ResultsA total of 56 studies with 13 223 patients and 11 types of cancers were selected. The mean follow-up time was 35.9 months. Over a third of patients had RIL (37.25%). After removing outlying studies (n = 14), the between-study heterogeneity variance was estimated at t2 = 0.018 (P = .01) with an I2 value of 36.0% (95% confidence interval, 6%-56%). The results showed that RIL was significantly associated with worse OS (hazard ratio: 1.70; 95% confidence interval, 1.55-1.86; P < .01; 95% prediction interval, 1.27-2.26). A subgroup analysis was performed based on the type of primary tumor, and a difference between the subgroups was found (P < .01). Based on the P-curve analysis, a significant evidential value was found, and no significant publication bias was identified among the studies. ConclusionsRIL is a significant prognostic factor for mortality in virtually all solid cancers. Pooled-effect estimates indicate a significantly reduced risk of death in patients without RIL. Tailoring RT regimens to spare the immune system and updating dosimetric constraints for new organs at risk, such as major blood vessels, organs with rich blood supplies, bones, and all lymph node areas, may improve prognoses.

Determinants of the Cost-Effectiveness of Telemedicine: Systematic Screening and Quantitative Analysis of the Literature.

Background and Objectives: Telemedicine holds the promise of increasing access-to-care at a lower cost. Yet, for years, the evidence of telemedicine's cost-effectiveness was scarce. Faced with a rapidly expanding literature, we conduct both manual and systematic selection of the literature, and analyzed the data to determine: (1) the characteristics of economic evaluations of telemedicine, and (2) the determinants of economically efficient telemedicine interventions. Methods: We reviewed all published economic evaluations of telemedicine in Cochrane, Embase, and Pubmed from 2008 to 2018. Articles were screened by two researchers first on title and abstract (Stage 1), then on full article (Stage 2), (protocol available on PROSPERO, ref. CRD42019143032). We proposed an alternative method for screening articles using machine learning based on textual classification and compared these two approaches. We constructed an exclusive dataset on the characteristics of the selected articles and enriched it using OECD data at the country level. We identified the determinants of efficient telemedicine interventions using multiple logit models. Results and Conclusion: We included 156 articles out of 2,639. Most economic studies of our sample regard telemonitoring. A majority (73.7%) of studies found that telemedicine intervention is efficient, regardless of the medical domain. Articles with higher standards of economic evaluation (cost-effectiveness analysis, randomized trials with high sample size) were less likely to report an efficient intervention. We found no effect of the publication year, signifying that the nature of the evidence has not changed over time.

Quantitative Measurement and Estimation of Gait Postural Kinematics and Balance

The function of gait is to move the body from one point to another, and at this time, the body weight is naturally transferred from one lower limb to the other. Gait postural analysis is to analyze the behavior of each joint and muscle during walking and measure the ground reaction force. Deformation of the lower extremities due to anatomical or neurological abnormalities results in abnormal pathological gait. At this time, the hip, knee, and ankle joints may exhibit secondary pathological movements due to not only primary abnormalities in each joint but also other adjacent joint abnormalities. When a characteristic gait pattern appears compared to normal gait, a relaxed pathological gait can be observed for neuromuscular diseases that have influences on muscles or joints. In this point, a three-dimensional and systematic quantitative analysis of pathological gait is necessary because the motion analysis test can detect changes in the transverse plane as well as in the coronal and sagittal planes. In this research, kriging model that can represent both interpolation and regression has been used for the estimations of gait postural kinematics and balance in the clinical data. Through the statistical model called to Kriging model, the characteristics of gait postural kinematics can be investigated for more clinical implications. The performances of kriging model are compared with those of interpolating the numerical function with error of normal distribution type. As an application of the newly proposed approach, the response of a gait postural model with numerical estimation error is predicted based on sampling data. If more sampling data and more clinical correlations, it can be verified that the ergonomic kriging model can predict a gait postural response with the deviation of ergonomic parameters from its normal behavior.

Protocol for the Systematic Fixation, Circuit-Based Sampling, and Qualitative and Quantitative Neuropathological Analysis of Human Brain Tissue.

Human brain tissue has long been a critical resource for neuroanatomy and neuropathology, but with the advent of advanced imaging and molecular sequencing techniques, it has become possible to use human brain tissue to study, in great detail, the structural, molecular, and even functional underpinnings of human brain disease. In the century following the first description of Alzheimer's disease (AD), numerous technological advances applied to human tissue have enabled novel diagnostic approaches using diverse physical and molecular biomarkers, and many drug therapies have been tested in clinical trials (Schachter and Davis, Dialogues Clin Neurosci 2:91-100, 2000). The methods for brain procurement and tissue stabilization have remained somewhat consistently focused on formalin fixation and freezing. Although these methods have enabled research protocols of multiple modalities, new, more advanced technologies demand improved methodologies for the procurement, characterization, stabilization, and preparation of both normal and diseased human brain tissues. Here, we describe our current protocols for the procurement and characterization of fixed brain tissue, to enable systematic and precisely targeted diagnoses, and describe the novel, quantitative molecular, and neuroanatomical studies that broadly expand the use of formalin-fixed, paraffin-embedded (FFPE) tissue that will further our understanding of the mechanisms underlying human neuropathologies.

A Hybrid Model Integrating HFACS and BN for Analyzing Human Factors in CFIT Accidents

Controlled flight into terrain (CFIT) is considered a typical accident category of “low-probability-high consequence”. Human factors play an important role in CFIT accidents in such a complex and high-risk system. This study aims to explore the causal relationship and inherent correlation of CFIT accidents by the Human Factors Analysis and Classification System (HFACS) and Bayesian network (BN). A total of 74 global CFIT accident investigation reports from 2001 to 2020 were collected, and the main contributing factors were classified and analyzed based on the Human Factors Analysis and Classification System. Then, the model was transformed into a Bayesian network topology structure. To ensure accuracy, the prior probability of each root node was computed by the fuzzy number theory. Afterward, using the bidirectional reasoning ability of the Bayesian network under uncertainty, this study performed a systematic quantitative analysis of the controlled flight into terrain accidents, including causal reasoning analysis, diagnostic analysis, sensitivity analysis, most probable explanation, and scenario analysis. The results demonstrate that the precondition for unsafe acts (30.5%) has the greatest impact on the controlled flight into terrain accidents among the four levels of contributing factors. Inadequate supervision, intentional noncompliance with SOPs/cross-check, GPWS not installed or failure, adverse meteorological environment, and ground-based navigation aid malfunction or not being available are recognized as the top significant contributing factors. The contributing factors of the high sensitivity and most likely failure are identified, and the coupling effect between the different contributing factors is verified. This study can provide guidance for CFIT accident analysis and prevention.

Model considering panic emotion and personality traits for crowd evacuation

Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies and quantitative analysis of evacuation panic, such as panic behaviors, panic evolution, and the stress responses of pedestrians with different personality traits to panic emotion are still rare. Here, combined with the theories of OCEAN (openness, conscientiousness, extroversion, agreeableness, neuroticism) model and SIS (susceptible, infected, susceptible) model, an extended cellular automata model is established by the floor field method in order to investigate the dynamics of panic emotion in the crowd and dynamics of pedestrians affected by emotion. In the model, pedestrians are divided into stable pedestrians and sensitive pedestrians according to their different personality traits in response to emotion, and their emotional state can be normal or panic. Besides, emotion contagion, emotion decay, and the influence of emotion on pedestrian movement decision-making are also considered. The simulation results show that evacuation efficiency will be reduced, for panic pedestrians may act maladaptive behaviors, thereby making the crowd more chaotic. The results further suggest that improving pedestrian psychological ability and raising the standard of management can effectively increase evacuation efficiency. And it is necessary to reduce the panic level of group as soon as possible at the beginning of evacuation. We hope this research could provide a new method to analyze crowd evacuation in panic situations.

Quantification of promoting efficiency and reducing toxicity of Traditional Chinese Medicine: A case study of the combination of Tripterygium wilfordii hook. f. and Lysimachia christinae hance in the treatment of lung cancer.

Traditional Chinese medicine (TCM) usually acts in the form of compound prescriptions in the treatment of complex diseases. The herbs contained in each prescription have the dual nature of efficiency and toxicity due to their complex chemical component, and the principle of prescription is usually to increase efficiency and reduce toxicity. At present, the studies on prescriptions have mainly focused on the consideration of the material basis and possible mechanism of the action mode, but the quantitative research on the compatibility rule of increasing efficiency and reducing toxicity is still the tip of the iceberg. With the extensive application of computational pharmacology technology in the research of TCM prescriptions, it is possible to quantify the mechanism of synergism and toxicity reduction of the TCM formula. Currently, there are some classic drug pairs commonly used to treat complex diseases, such as Tripterygium wilfordii Hook. f. with Lysimachia christinae Hance for lung cancer, Aconitum carmichaelii Debeaux with Glycyrrhiza uralensis Fisch. in the treatment of coronary heart disease, but there is a lack of systematic quantitative analysis model and strategy to quantitatively study the compatibility rule and potential mechanism of synergism and toxicity reduction. To address this issue, we designed an integrated model which integrates matrix decomposition and shortest path propagation, taking into account both the crosstalk of the effective network and the propagation characteristics. With the integrated model strategy, we can quantitatively detect the possible mechanisms of synergism and attenuation of Tripterygium wilfordii Hook. f. and Lysimachia christinae Hance in the treatment of lung cancer. The results showed the compatibility of Tripterygium wilfordii Hook. f. and Lysimachia christinae Hance could increase the efficacy and decrease the toxicity of lung cancer treatment through MAPK pathway and PD-1 checkpoint pathway in lung cancer.

Expert system and entropy‐ordered weighted average method in cold supply chain risk evaluation

AbstractIf not well identified and controlled, risks in systematically engineered cold supply chains can lead directly to food safety incidents. In current approaches to cold supply chain risk evaluation, there is a lack of systematic classification and quantitative analysis of the influences of risk factors in the chain. To accurately evaluate unknown risks that can exert a fluctuating influence and result in great losses, this study builds a knowledge base of expert systems based on expertise and extensive experience and modifies the expert weights in conjunction with entropy weights to reduce subjective error. An ordered weighted average (OWA) operator is used to evaluate risk in a cold supply chain effectively. First, in combination with a case study of a typical fresh food e‐commerce enterprise, a typical fresh food e‐commerce enterprise, this paper identifies the risks in a food refrigeration supply chain. Second, relying on an expert group with professional knowledge and rich experience, an expert system knowledge base is constructed, risks are assigned, and the expert weight is modified in combination with the entropy weight method. Finally, based on the OWA operator, the modified risk assignment is effectively evaluated, and the risk value is obtained and sorted. Specific risk control measures are put forward according to the results of the calculation. The results show that an evaluation method combining an expert system knowledge base and the entropy‐OWA method can effectively depict and process the evaluation information needed for risk rankings and solve the problems of supply chain risks more rapidly and effectively.

EP01.04-005 Quantitative Characteristics in Global CT Lung Cancer Screening Populations Using the ELIC Distributed Database and Computation Environment

High resolution CT lung scans contain large amounts of potentially relevant information to evaluate the prospective risk of developing lung cancer. Significant relationships between presence of emphysema and lung cancer risk have been observed, particularly when analyzing high-quality, high-resolution CT scans. A systematic quantitative analysis of lung structure, considering both the shape and density of lungs and lobes of screening detected lung cancer patients and lung cancer free screening participants has the potential to provide insight into promising quantitative lung cancer risk biomarkers.

Public debt sustainability: a bibliometric co-citation visualization analysis

PurposeDue to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the research corpus so far as the government's fiscal sustainability is concerned. Therefore, the present research examines a systematic quantitative analysis of public debt sustainability research by applying a bibliometric approach. Research also analyzes journals, institutions, countries and authors contributing to public debt sustainability.Design/methodology/approachThis paper scrutinizes the published scientific research on public debt sustainability based on the dataset of 535 articles from 1991 to 2021 obtained from the Scopus database. Biblioshiny (R-based application) and VoSviewer software were used to perform bibliometric analysis through Performance analysis and science mapping techniques. The authors combined co-citation analysis (CCA), bibliometric analysis, keyword co-occurrence analysis (KCA) and a conceptual thematic map of the most cited articles to find the intellectual structure.FindingsThe research identified three dominating clusters, e.g. fiscal sustainability and policy rules, empirical sustainability testing and debt and growth dynamics. Another finding was that most articles were analytical and empirical and few descriptive articles were found. Owing to the empirical nature of the domain, the issues concerning public debt sustainability have continued to change over the past decades for different economies, reflecting the complexity and diversity of economic structures of different economies at different times.Originality/valueThe insight of this article provides academicians and researchers with a more refined comprehension of the conceptual and intellectual structure of the research corpus. The present research complements the existing literature review studies by pushing the research towards emerging or less developed issues such as financial and debt crises.