bluuebunny/crossref_metadata_2025 huggingface dataset:
Re-Imagining Resilient Food Systems in the Post-COVID-19 Era in Africa
Authors: May Julian , Mentz-Coetzee Melody
Published: September 2021

The COVID-19 pandemic heightened awareness that serious illness and injury are common and important shocks that result in food insecurity, the loss of livelihoods, and unsustainable coping strategies. These have significant negative impacts on welfare, especially for the poorest, driving up health care expenditure, reducing capabilities for productive and reproductive activities, and decreasing capacity to manage climate and other changes. These negative impacts are especially pertinent for countries in Africa where the high prevalence of communicable diseases such as HIV/AIDS and malaria have resulted in repeated health shocks. Unusually, the prevalence of these illnesses results in their impact being similar to those of covariate shocks, increasing the risk of poverty for entire communities and reducing options for coping strategies. Livelihood disruptions arising from the COVID-19 pandemic may have similar consequences for African food systems. The pandemic is likely to exacerbate existing dynamics of risk and introduce new and unanticipated changes to food systems. Although the initial focus of governments has been on public health interventions, preserving and growing resilient food systems is critical if livelihoods are to be protected. This paper discusses the implications of these evolving forms of risk and uncertainty for sustainable African food systems, reflecting on lessons from other systemic shocks.
A Concurrence Optimization Model for Low-Carbon Product Family Design and the Procurement Plan of Components under Uncertainty
Authors: Wang Qi , Qi Peipei , Li Shipei
Published: September 2021

With the increase in pollution and people’s awareness of the environment, reducing greenhouse gas (GHG) emissions from products has attracted more and more attention. Companies and researchers are seeking appropriate methods to reduce the GHG emissions of products. Currently, product family design is widely used for meeting the diverse needs of customers. In order to reduce the GHG emission of products, some methods for low-carbon product family design have been presented in recent years. However, in the existing research, the related GHG emission data of a product family are given as crisp values, which cannot assess GHG emissions accurately. In addition, the procurement planning of components has not been fully concerned, and the supplier selection has only been considered. To this end, in this study, a concurrence optimization model was developed for the low-carbon product family design and the procurement plan of components under uncertainty. In the model, the relevant GHG emissions were considered as the uncertain number rather than the crisp value, and the uncertain GHG emissions model of the product family was established. Meanwhile, the order allocation of the supplier was considered as the decision variable in the model. To solve the uncertain optimization problem, a genetic algorithm was developed. Finally, a case study was performed to illustrate the effectiveness of the proposed approach. The results showed that the proposed model can help decision-makers to simultaneously determine the configuration of product variants, the procurement strategy of components, and the price strategies of product variants based on the objective of maximizing profit and minimizing GHG emission under uncertainty. Moreover, the concurrent optimization of low-carbon product family design and order allocation can bring the company greater profit and lower GHG emissions than just considering supplier selection in low-carbon product family design.
Outbreaks of the Fall Armyworm (Spodoptera frugiperda), and Maize Production Constraints in Zambia with Special Emphasis on Coping Strategies
Authors: Kasoma Chapwa , Shimelis Hussein , D. Laing Mark , Shayanowako Admire , Mathew Isack
Published: September 2021

The fall armyworm (FAW) (Spodoptera frugiperda J.E. Smith) is an invasive pest of maize, as well as other important cereals and vegetables, threatening food systems and biodiversity in Sub-Saharan Africa. This study aimed to assess the outbreaks of the FAW, farmers’ perceived production constraints, and coping strategies in maize production in Zambia. A participatory rural appraisal (PRA) study was conducted in two FAW-affected maize production districts in Zambia in 2017 and 2018. Data were collected using semi-structured questionnaires, preference ranking, and focused group discussions. Crop losses due to FAW, the high cost of fertilizers, and a limited availability of arable land were the major production constraints across the districts. There were significant differences (X2 = 12.415; p = 0.002) in the severity of FAW infestation between the two districts in 2017. Notable FAW coping strategies used by the respondent farmers included cultural and landscape management practices, chemical pesticides, and crushing of FAW larvae. There was a disparity between male and female respondents who perceived social, agronomic management, and crop protection-related factors that influenced the choice of a maize variety. Information presented here will serve as a basis for FAW-resistant cultivar development and deployment of the integrated pest management methods for Zambia.
Significance and Vision of Nutrient Recovery for Sustainable City Food Systems in Germany by 2050
Authors: Keuter Volkmar , Deck Sebastian , Giesenkamp Heidi , Gonglach Denise , Katayama Victor Takazi , Liesegang Sica , Petersen Finn , Schwindenhammer Sandra , Steinmetz Heidrun , Ulbrich Andreas
Published: September 2021

Within this paper, the authors explain their transdisciplinary vision of nutrient recovery for sustainable urban plant cultivation in Germany from different but complementary perspectives (SUSKULT vision). Nowadays, the demand for fresh, healthy, locally and sustainably produced food in German urban areas is constantly increasing. At the same time, current agricultural systems contribute significantly to exceeding the planetary boundaries. The disruption of the phosphorus and nitrogen cycles in particular stands out from the manifold effects of modern food production on the Earth system. One central issue that will have to be faced in the future is how increased yields in agriculture will be achieved with high-energy requirements in fertilizer production and pollution of water and soil by phosphorus and reactive nitrogen. City region food systems (CRFS) can be a solution to overcome these issues. Nevertheless, to ensure sustainable CRFS, innovative technologies and methods need to be developed, including nutrient and energy recovery and adapted horticultural cultivation methods that fit complex urban dynamics. Such new strategies need to be integrated in long-term social and political transformation processes to enhance acceptance of food produced by recyclates. The joint contribution of experts from the wastewater, horticultural, and political sciences, together with industrial and societal sector actors, is critical to reach these objectives. The overarching goal of SUSKULT’s vision is the establishment of the field of urban circular agricultural production as an innovative sector of the bio-based economy in Germany.
Transitioning to Low-Carbon Economies under the 2030 Agenda: Minimizing Trade-Offs and Enhancing Co-Benefits of Climate-Change Action for the SDGs
Authors: Iacobuţă Gabriela Ileana , Höhne Niklas , van Soest Heleen Laura , Leemans Rik
Published: September 2021

The 2030 Agenda with its Sustainable Development Goals (SDGs) and the Paris Agreement on climate change were adopted in 2015. Although independently defined, the two agreements are strongly interlinked. We developed a framework that scores the impacts of climate-change actions on all SDG targets based on directionality (i.e., trade-offs or co-benefits) and likelihood of occurrence (i.e., ubiquitous or context-dependent), and categorizes them by dependence on four key context dimensions—geographical, governance, time horizon and limited natural resources. Through an extensive literature review, we found that climate-change mitigation measures directly affect most SDGs and their targets, mostly through co-benefits. Improving energy efficiency, reducing energy-services demand and switching to renewables provide the most co-benefits. In contrast, carbon capture and storage and nuclear energy likely lead to multiple trade-offs. We show how understanding the relevant context dimensions facilitates policy design and policy mixes that enhance co-benefits and minimize trade-offs. Finally, by assessing the prevalence of climate-change mitigation measures in G20 countries, we found that measures with more co-benefits are more frequently adopted. Our study advances the knowledge of climate–SDG interactions, contributing to climate and sustainable development governance research, and facilitating policy design for a joint implementation of the Paris Agreement and the 2030 Agenda.
Comparison of H2S Gas Sensors: A Sensor Management Procedure for Sewer Monitoring
Authors: Pacheco Fernández Micaela , Despot Daneish , Barjenbruch Matthias
Published: September 2021

Hydrogen sulphide (H2S) emissions are one of the major problems associated with sewer networks. This gas, with its characteristic smell of rotten eggs is highly toxic and leads to the corrosion of sewer infrastructures. To protect cities and ensure the safety of sewer workers, sewers are commonly monitored using H2S gas sensors. In this work, three commercial H2S gas sensors for air quality monitoring were compared at two different sites in Berlin, Germany. Two of the sensors provide online access to data, while the other one is a data logger. Moreover, based on statistical measures (RMSE, MAE, MB, and a graphical analysis), we evaluated whether a rotation/exchange between data logger (reference) and online sensors is possible without significant differences in the gas measurements. Experimental evaluation revealed that measurement differences are dependent on the H2S concentration range. The deviation between sensors increases as the H2S concentration rises. Therefore, the interchange between reference and online sensors depends on the application site and the H2S levels. At lower ranges (0–10 ppm) there were no observed problems. Finally, to support practitioners on-site, a management procedure in the form of a decision-making tool is proposed for assessing whether gas sensors should be exchanged/rotated.
Understanding Farmers’ Intention to Use a Sustainability Standard: The Role of Economic Rewards, Knowledge, and Ease of Use
Authors: Hannus Veronika , Sauer Johannes
Published: September 2021

Voluntary approaches to improving sustainability in agriculture can contribute significantly to reduce the sector’s negative environmental impacts and provide a foundation for sustainable land use and farmers’ incomes. We investigate what motivates farmers to implement comprehensive sustainability management on their farms. For this purpose, we use a structural equation model (SEM) to evaluate the individual factors influencing the decision-making process within the technology acceptance model (TAM). Our empirical data from 363 farmers fit the theoretical model very well. The model confirms a positive influence of expected economic rewards and subjective norms on the perceived usefulness of such an innovation. However, ease of use is most important, as it is related directly to the stated intention to use a standard. In addition, the data indicate a high, significant, and direct effect of prior knowledge of on-farm sustainability management on stated intent to use a standard. These findings can serve as a starting point to improve not only existing sustainability management systems, but also emerging farm management information systems (FMISs), or agri-environmental schemes with the aim to make their use more attractive. However, further research is needed to verify the results by means of practical applications.
An Empirical Study of Renewable Energy Technology Acceptance in Ghana Using an Extended Technology Acceptance Model
Authors: Yang Li , Bashiru Danwana Sumaiya , Yassaanah Issahaku Fadilul-lah
Published: September 2021

Energy consumption, and its impact on the environment, has become an increased focal point in Ghana, a sub-Saharan African country, following population growth and rapid urbanization. Ghana has high potential for renewable energy generation; nevertheless, low acceptance and usage have been found. An extensive study is required to understand the causes driving poor acceptability and the intentions to use renewable energy. This study aims to empirically investigate the acceptance of renewable energy using an extended technology acceptance model (TAM). A cross-sectional survey was conducted, from 1 February 2021 to 30 June 2021, using a self-administered questionnaire. The survey was carried out on Ghanaian adults of the age 18 years and above. Data was collected from 1068 respondents from Ghana’s northern and southern parts and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS software. The results of the data analysis reveal that environmental awareness is the biggest predictor of the intention to use renewable energy in Ghana. Perceived affordability was also found to be the most significant predictor of attitudes towards the use of renewable energy in Ghana. The findings of this research will give policymakers, manufacturers, and the providers of renewable energy appliances a better understanding of the factors that determine the intention to use renewable energy.
Development of a Local, Integrated Disaster Risk Assessment Framework for Malaysia
Authors: Ramli Muhammad Wafiy Adli , Alias Nor Eliza , Mohd Yusof Halimah , Yusop Zulkifli , Taib Shazwin Mat
Published: September 2021

This study developed an integrated disaster risk assessment framework (IDRAF) to measure disaster risk at the local administrative boundaries in Malaysia. The proposed framework can enhance government effort for disaster risk reduction by implementing an integrated disaster risk framework and guiding decision makers to properly evaluate and analyze risk for mitigation, preparedness, and planning. The framework was developed, expanding from the multi-hazard spatial overlapping and Methods for the Improvement of Vulnerability Assessment in Europe (MOVE) theoretical framework. There are five significant phases to develop this framework: problem formulation, data collection, multi-hazard characterization, multi-dimensional vulnerability characterization, and weightage determination. The IDRAF proposed for Malaysia consists of eight hazards and six vulnerability dimensions, which consist of 16 factors (or vulnerability group) and 54 indicators. The multi-hazard characterization has two components: frequency of occurrence and spatial interaction. The multidimensional vulnerability characterization reduces vulnerability indicators using principal component analysis (PCA). Measuring integrated risk is an effective strategy at the local level or national level to assess the potential disaster impacts in detail and accurately. This study will offer explicit knowledge and boost community competency, creating techniques and tools to analyze various risk factors and vulnerability indicators for decision makers and practitioners.
Threshold Effect of the Internet on Regional Innovation in China
Authors: Chen Congbo , Ye Azhong
Published: September 2021

Internet business adoption is an essential determinant of regional innovation which has received little attention in the literature. This paper emphasizes the role and threshold effect of Internet business adoption in increasing regional innovation outputs. We construct a threshold spatial autoregressive model to illustrate the nonlinear positive impact of Internet business adoption on innovation, simultaneously estimating interregional knowledge spillovers. To test threshold effect and interregional knowledge spillover, we use province-level panel data set in China and calculate Moran’s I and LR-like statistics to confirm the nonlinearity and spatial dependence. Within the empirical model, we find a positive relationship between the number of websites owned by local firms and the number of patents filed in that specific region. Our analysis suggests that Internet business adoption has a greater marginal benefit on the innovation of isolate regions. The results also indicate that ignoring interregional knowledge spillover may cause mistakes in the model on regional innovation systems. Policy implications for these results suggest that the government should not only pay attention to Internet development of the whole country but also encourage the reduction of digital divisions among regions
The Mediated Moderating Role of Organizational Learning Culture in the Relationships among Authentic Leadership, Leader-Member Exchange, and Employees’ Innovative Behavior
Authors: Jung Ki Baek , Ullah S. M. Ebrahim , Choi Suk Bong
Published: September 2021

Previous studies have shown that enhancing employees’ innovative behavior can facilitate organizations’ sustainable competitiveness. This study investigated the relationship between authentic leadership and employees’ innovative behavior in Korean manufacturing and service companies. Moreover, the study examined the complex processes and conditions underlying this relationship. The results indicated that authentic leadership was significantly related to employees’ innovative behavior and that leader–member exchange mediated the relationship between authentic leadership and employees’ innovative behavior. Additionally, organizational learning culture moderated the relationship between leader–member exchange and employees’ innovative behavior. Finally, organizational learning culture moderated the mediating effect of authentic leadership on innovative behavior via leader–member exchange. We discuss the theoretical and practical implications of these findings as well as the study’s limitations for future research directions.
Fast Dynamic IR-Drop Prediction Using Machine Learning in Bulk FinFET Technologies
Authors: Huang Pengcheng , Ma Chiyuan , Wu Zhenyu
Published: September 2021

IR-drop is a fundamental constraint by almost all integrated circuits (ICs) physical designs, and many iterations of timing engineer change order (ECO), IR-drop ECO, or other ECO are needed before design signoff. However, IR-drop analysis usually takes a long time and wastes so many resources. In this work, we develop a fast dynamic IR-drop predictor based on a machine learning technique, XGBoost, and the prediction method can be applied to vector-based and vectorless IR-drop analysis simultaneously. Correlation coefficient is often used to characterize the symmetry of prediction data and golden data, and our experiments show that the prediction correlation coefficient is more than 0.96 and the average error is no more than 1.3 mV for two industry designs, which are of 2.4 million and 3.7 million instances, respectively, and that the analysis is speeded up over 4.3 times compared with the IR-drop analysis by commercial tool, Redhawk.
AMT Starting Control as a Soft Starter for Belt Conveyors Using a Data-Driven Method
Authors: Li Yunxia , Li Lei , Zhang Chengliang
Published: September 2021

Automated mechanical transmission (AMT) is used as a soft starter in this paper. To improve the soft starting quality, a novel data-driven method is studied. By analyzing and comparing five common soft-starting acceleration curves, a segmented acceleration curve is put forward to be used as the soft-starting acceleration curve for the AMT. Based on the prototype model free adaptive control (MFAC) method, a modified MFAC method with jerk compensation is given to control the AMT output shaft’s angular acceleration and reduce driveline shock. Compared with the methods of prototype MFAC and traditional proportion integration differentiation (PID), the modified MFAC method with jerk compensation can better control the AMT output shaft’s angular acceleration and has excellent characteristics in terms of small tracking error and smaller shock. The research results provide a novel data-driven method for AMT as a soft starter.
Ocular Asymmetry in Electrooculographic Responses
Authors: Liu Haitao , Liao Fei , de la Villa Pedro
Published: September 2021

Between the cornea and the posterior pole of the eye, there is a transepithelial potential capable of being registered through an electrooculogram (EOG). It is questionable whether electrooculographic responses are similar in both eyes despite ocular dominance in human beings. We studied the effect of different electrooculographic stimulation parameters, in terms of directionality, linear and angular velocity, contrast, and state of adaptation to light/dark, that may induce possible interocular differences in visual function. The study was carried out with electroencephalography-type surface electrodes placed in the medial, lateral, superior, and inferior positions of both human eyes to record the eye movements. We found a greater amplitude of the EOG response in the left eye than to the right eye for light bars moving from right to left (p < 0.01; t-test). The EOG response amplitude was similar in both eyes for light bars moving in vertical directions, but greater than horizontal or rotational stimuli. We conclude that vertical stimuli should be used for EOG functional evaluation of eye movements, since horizontal stimuli generate significant interocular differences.
Comparison Analysis of Gene Expression Profiles Proximity Metrics
Authors: Babichev Sergii , Yasinska-Damri Lyudmyla , Liakh Igor , Durnyak Bohdan
Published: September 2021

The problems of gene regulatory network (GRN) reconstruction and the creation of disease diagnostic effective systems based on genes expression data are some of the current directions of modern bioinformatics. In this manuscript, we present the results of the research focused on the evaluation of the effectiveness of the most used metrics to estimate the gene expression profiles’ proximity, which can be used to extract the groups of informative gene expression profiles while taking into account the states of the investigated samples. Symmetry is very important in the field of both genes’ and/or proteins’ interaction since it undergirds essentially all interactions between molecular components in the GRN and extraction of gene expression profiles, which allows us to identify how the investigated biological objects (disease, state of patients, etc.) contribute to the further reconstruction of GRN in terms of both the symmetry and understanding the mechanism of molecular element interaction in a biological organism. Within the framework of our research, we have investigated the following metrics: Mutual information maximization (MIM) using various methods of Shannon entropy calculation, Pearson’s χ2 test and correlation distance. The accuracy of the investigated samples classification was used as the main quality criterion to evaluate the appropriate metric effectiveness. The random forest classifier (RF) was used during the simulation process. The research results have shown that results of the use of various methods of Shannon entropy within the framework of the MIM metric disagree with each other. As a result, we have proposed the modified mutual information maximization (MMIM) proximity metric based on the joint use of various methods of Shannon entropy calculation and the Harrington desirability function. The results of the simulation have also shown that the correlation proximity metric is less effective in comparison to both the MMIM metric and Pearson’s χ2 test. Finally, we propose the hybrid proximity metric (HPM) that considers both the MMIM metric and Pearson’s χ2 test. The proposed metric was investigated within the framework of one-cluster structure effectiveness evaluation. To our mind, the main benefit of the proposed HPM is in increasing the objectivity of mutually similar gene expression profiles extraction due to the joint use of the various effective proximity metrics that can contradict with each other when they are used alone.
Carotid Phase-Contrast Magnetic Resonance before Treatment: 4D-Flow versus Standard 2D Imaging
Authors: Secchi Francesco , Monti Caterina Beatrice , Capra Davide , Vitale Renato , Mazzaccaro Daniela , Conti Michele , Jin Ning , Giese Daniel , Nano Giovanni , Sardanelli Francesco , Marrocco-Trischitta Massimiliano M.
Published: September 2021

The purpose of this study was to evaluate the level of agreement between flow/velocity data obtained from 2D-phase-contrast (PC) and 4D-flow in patients scheduled for treatment of carotid artery stenosis. Image acquisition was performed using a 1.5 T scanner. We compared mean flow rates, vessel areas, and peak velocities obtained during the acquisition with both techniques in 20 consecutive patients, 15 males and 5 females aged 69 ± 5 years (mean ± standard deviation). There was a good correlation between both techniques for the CCA flow (r = 0.65, p < 0.001), whereas for the ICA flow and ECA flow the correlation was only moderate (r = 0.4, p = 0.011 and r = 0.45, p = 0.003, respectively). Correlations of peak velocities between methods were good for CCA (r = 0.56, p < 0.001) and moderate for ECA (r = 0.41, p = 0.008). There was no correlation for ICA (r = 0.04, p = 0.805). Cross-sectional area values between methods showed no significant correlations for CCA (r = 0.18, p = 0.269), ICA (r = 0.1, p = 0.543), and ECA (r = 0.05, p = 0.767). Conclusion: the 4D-flow imaging provided a good correlation of CCA and a moderate correlation of ICA flow rates against 2D-PC, underestimating peak velocities and overestimating cross-sectional areas in all carotid segments.
Stringy Bubbles Solve de Sitter Troubles
Authors: Berglund Per , Hübsch Tristan , Minic Djordje
Published: September 2021

Finding four-dimensional de Sitter spacetime solutions in string theory has been a vexing quest ever since the discovery of the accelerating expansion of the universe. Building on a recent analysis of bubble-nucleation in the decay of (false-vacuum) AdS backgrounds where the interfacing bubbles themselves exhibit a de Sitter geometry we show that this resonates strongly with a stringy cosmic brane construction that naturally provides for an exponential mass-hierarchy and the localization of both gravity and matter, in addition to an exponentially suppressed positive cosmological constant. Finally, we argue that these scenarios can be realized in terms of a generalization of a small resolution of a conifold singularity in the context of a (Lorentzian) Calabi–Yau 5-fold, where the isolated (Lorentzian) two complex dimensional Fano variety is a four-dimensional de Sitter spacetime.
Sustainable Tourism Planning: A Strategy for Oecusse-Ambeno, East Timor
Authors: Amado Miguel , Rodrigues Evelina
Published: September 2021

This paper aims to explore the topic of sustainable tourism activity. The subject has emerged in the last two decades from discussions about the content of the report, Our Common Future. The decision to transform developing countries into new offerings for ecological and cultural tourism brings to the discussion the imprecise and conflicting definitions of the concept and the need to distinguish between the development of tourism, and sustainable tourism supported on the principles of sustainable development. The research reviews the environmental and social contexts of the Oecusse-Ambeno region in East Timor. It discusses the new sustainable tourism activities in the region with the need to ensure that the concept includes a strong base of perceived authenticity in the human context and the physical environment. The problems of the carrying capacity control of tourism development, and the term’s relevance to mass or conventional tourism, are strategically anticipated. The region is confronted with an offer that supports more peacefulness, and that is more aligned to the culture and the natural environment. This paper provides insight into the ways in which tourists perceive the authenticity of visitor attractions and highlights the importance of the cultural and environmental values of tourism destinations for strategic planning and marketing purposes.
Outbreak of a Systemic Form of Camelpox in a Dromedary Herd (Camelus dromedarius) in the United Arab Emirates
Authors: Joseph Sunitha , Kinne Joerg , Nagy Péter , Juhász Jutka , Barua Rajib , Patteril Nissy Annie Georgy , Hoffmann Donata , Pfaff Florian , Hoffmann Bernd , Wernery Ulrich
Published: September 2021

Camelpox virus (CMLV) is the causative agent of camelpox, which frequently occurs in the Old World camelids-rearing countries except for Australia. It has also been described in experimentally inoculated New World camelids. Camelpox outbreaks are often experienced shortly after the rainy season, which occurs twice a year on the Arabian Peninsula because of the increased density of the insect population, particularly mosquitos. A systemic form of camelpox outbreak in seven dromedary camels was diagnosed by histology, virus isolation, and PCR. A phylogenetic analysis using full length CMLV genomes of the isolated CMLV strains showed a single phylogenetic unit without any distinctive differences between them. The United Arab Emirates (UAE) isolate sequences showed phylogenetical relatedness with CMLV isolates from Israel with only minor sequence differences. Although the sequences of viruses from both countries were closely related, the disease manifestation was vastly different. Our study shows that the virulence is not only determined by genetic features of CMLV alone but may also depend on other factors such as unknown aspects of the host (e.g., age, overall fitness), management, and the environment.
Combinatorial F-G Immunogens as Nipah and Respiratory Syncytial Virus Vaccine Candidates
Authors: Isaacs Ariel , Cheung Stacey T. M. , Thakur Nazia , Jaberolansar Noushin , Young Andrew , Modhiran Naphak , Bailey Dalan , Graham Simon P. , Young Paul R. , Chappell Keith J. , Watterson Daniel
Published: September 2021

Nipah virus (NiV) and respiratory syncytial virus (RSV) possess two surface glycoproteins involved in cellular attachment and membrane fusion, both of which are potential targets for vaccines. The majority of vaccine development is focused on the attachment (G) protein of NiV, which is the immunodominant target. In contrast, the fusion (F) protein of RSV is the main target in vaccine development. Despite this, neutralising epitopes have been described in NiV F and RSV G, making them alternate targets for vaccine design. Through rational design, we have developed a vaccine strategy applicable to phylogenetically divergent NiV and RSV that comprises both the F and G proteins (FxG). In a mouse immunization model, we found that NiV FxG elicited an improved immune response capable of neutralising pseudotyped NiV and a NiV mutant that is able to escape neutralisation by two known F-specific antibodies. RSV FxG elicited an immune response against both F and G and was able to neutralise RSV; however, this was inferior to the immune response of F alone. Despite this, RSV FxG elicited a response against a known protective epitope within G that is conserved across RSV A and B subgroups, which may provide additional protection in vivo. We conclude that inclusion of F and G antigens within a single design provides a streamlined subunit vaccine strategy against both emerging and established pathogens, with the potential for broader protection against NiV.
The Epidemiological and Economic Impact of a Cell-Based Quadrivalent Influenza Vaccine in Adults in the US: A Dynamic Modeling Approach
Authors: Nguyen Van Hung , Hilsky Yvonne , Mould-Quevedo Joaquin
Published: September 2021

Mutations of the H3N2 vaccine strain during the egg-based vaccine manufacturing process partly explain the suboptimal effectiveness of traditional seasonal influenza vaccines. Cell-based influenza vaccines improve antigenic match and vaccine effectiveness by avoiding such egg-adaptation. This study evaluated the public health and economic impact of a cell-based quadrivalent influenza vaccine (QIVc) in adults (18–64 years) compared to the standard egg-based quadrivalent influenza vaccine (QIVe) in the US. The impact of QIVc over QIVe in public health and cost outcomes was estimated using a dynamic age-structured SEIR transmission model, which accounted for four circulating influenza strains [A/H1N1pdm9, A/H3N2, B(Victoria), and B(Yamagata)] and was calibrated on the 2013–2018 influenza seasons. The robustness of the results was assessed in univariate and probabilistic sensitivity analyses. Switching from QIVe to QIVc in 18- to 64-year-olds may prevent 5.7 million symptomatic cases, 1.8 million outpatient visits, 50,000 hospitalizations, and 5453 deaths annually. The switch could save 128,000 Quality-Adjusted Life Years (QALYs) and US $ 845 M in direct costs, resulting in cost-savings in a three-year time horizon analysis. Probabilistic sensitivity analyses confirmed the robustness of the cost-saving result. The analysis shows that QIVc is expected to prevent hospitalizations and deaths, and result in substantial savings in healthcare costs.
Adverse Events Following Immunization Associated with the First and Second Doses of the ChAdOx1 nCoV-19 Vaccine among Healthcare Workers in Korea
Authors: Jeon Minji , Kim Jehun , Oh Chi Eun , Lee Jin-Young
Published: September 2021

As worldwide large-scale inoculation of novel vaccines is on the way, the importance of real-world data on safety cannot be overemphasized. We aimed to investigate the adverse events following immunization (AEFIs) associated with the ChAdOx1 nCoV-19 vaccine among healthcare workers (HCWs). We investigated the systemic and local adverse events reported within seven days following the first and second doses of vaccination, using the mobile vaccine adverse events reporting system (MVAERS) developed by our hospital. The response rates were 71.8% (994/1384) and 52.9% (727/1375) after the first and second doses, respectively. The most commonly reported AEFIs were tenderness and pain at the injection site and fatigue after the first and second doses. In comparison to the first dose, the incidence and severity of AEFIs were lower following the second dose. Since the Korean government does not recommend the ChAdOx1 nCoV-19 vaccination for those under 30 years of age, with greater risk than benefit, we additionally compared the AEFIs of age groups under and above 30 years of age. The overall incidence of AEFIs was similar in both the under and over 30 age groups. In conclusion, AEFIs associated with the ChAdOx1 nCoV-19 vaccine were found to be tolerable, and AEFIs associated with the second dose were less common and severe compared to the first dose. Further safety surveillance studies on COVID-19 vaccines are required to validate our findings.
Identification of Mycobacterium tuberculosis Antigens with Vaccine Potential Using a Machine Learning-Based Reverse Vaccinology Approach
Authors: Teahan Blaine , Ong Edison , Yang Zhenhua
Published: September 2021

Tuberculosis (TB) is the leading cause of death of any single infectious agent, having led to 1.4 million deaths in 2019 alone. Moreover, an estimated one-quarter of the global population is latently infected with Mycobacterium tuberculosis (MTB), presenting a huge pool of potential future disease. Nonetheless, the only currently licensed TB vaccine fails to prevent the activation of latent TB infections (LTBI). These facts together illustrate the desperate need for a more effective TB vaccine strategy that can prevent both primary infection and the activation of LTBI. In this study, we employed a machine learning-based reverse vaccinology approach to predict the likelihood that each protein within the proteome of MTB laboratory reference strain H37Rv would be a protective antigen (PAg). The proteins predicted most likely to be a PAg were assessed for their belonging to a protein family of previously established PAgs, the relevance of their biological processes to MTB virulence and latency, and finally the immunogenic potential that they may provide in terms of the number of promiscuous epitopes within each. This study led to the identification of 16 proteins with the greatest vaccine potential for further in vitro and in vivo studies. It also demonstrates the value of computational methods in vaccine development.
Overcoming COVID-19 Vaccine Hesitancy: Insights from an Online Population-Based Survey in the United States
Authors: Badr Hoda , Zhang Xiaotao , Oluyomi Abiodun , Woodard LeChauncy D. , Adepoju Omolola E. , Raza Syed Ahsan , Amos Christopher I.
Published: September 2021

This study sought to identify individual-level determinants of COVID-19 vaccine hesitancy based on the Health Belief Model (HBM) and Theory of Planned Behavior (TPB). An online population-based survey was distributed in English and Spanish. Data were derived from 1208 U.S. adults (52% female; 38.7% minorities), 43.5% of whom reported vaccine hesitancy. Multivariable analysis revealed that unemployed individuals were more likely (OR = 1.78, 95% CI: 1.16–2.73, p = 0.009) and married (OR = 0.57, 95% CI: 0.39–0.81, p = 0.002) and higher income individuals (OR = 0.52, 95% CI 0.32–0.84, p = 0.008) were less likely to be hesitant. Individuals with greater perceived susceptibility to COVID-19 (OR = 0.82, 95% CI: 0.71–0.94, p = 0.006), who perceived vaccination as being convenient (OR = 0.86, 95% CI: 0.74–1.00, p = 0.047), and who afforded greater importance to cues to action from government (OR = 0.84, 95% CI: 0.74–0.95, p = 0.005), public health (OR = 0.70, 95% CI: 0.59–0.82, p < 0.001), and healthcare experts (OR = 0.59, 95% CI: 0.50–0.69, p < 0.001) were also less likely to be hesitant. Findings suggest that HBM and TPB constructs may be useful in informing strategies to improve COVID-19 vaccine uptake. Specifically, framing appeals based on perceptions of COVID-19 susceptibility, making vaccination convenient, and rebuilding trust through unified cues to action may help to overcome vaccine hesitancy.
Optical Sensitivity of Camera-Like Eyes to White Light
Authors: Shepeleva Irina P.
Published: September 2021

Gastropod mollusks are convenient model organisms for studying the functioning of the visual system. The purpose of this work is to estimate the value of the optical sensitivity to white light for the camera-like eyes of gastropod mollusks and humans and analyze its effect on the spatial resolving power in two regions of the retina: in the center—for single photoreceptors of the first/second type in a mollusk and single cones in humans—and in the periphery—for single photoreceptors of the first/second type in a mollusk, as well as for single rods/cones and their groups, subject to spatial summation in humans. The methods of histology, light and transmission electron microscopy, morphometry, calculations and methods of statistical analysis are used in the work. In a mollusk, with a fixed pupil area, the value of the optical sensitivity of the eye to white light in the center of the retina for single photoreceptors of the first/second type is 0.5/0.006 μm2·sr and in the periphery of the retina, 0.9/0.009 μm2·sr. In humans, at the minimum and maximum pupil area, respectively, the value of the optical sensitivity of the eye to white light in the center of the retina (foveola) for single cones varies from 0.00053 to 0.028 μm2·sr, and in the periphery of the retina (far periphery) for single rods from 0.011 to 0.575 μm2·sr, for single cones from 0.025 to 1.319 μm2·sr, for the groups of rods from 3859 to 204,094 μm2·sr and for the groups of cones from 2.5 to 131 μm2·sr. The value of the optical sensitivity of the eyes to white light for single photoreceptors of the first/second type in both regions of the retina in a mollusk, as well as for single cones in the center and groups of rods/cones in the periphery of the retina in humans, corresponds to the ambient light conditions during periods of activity and does not affect the spatial resolving power.
Modeling of Cavitation Bubble Cloud with Discrete Lagrangian Tracking
Authors: Lyu Xiuxiu , Zhu Yujie , Zhang Chi , Hu Xiangyu , Adams Nikolaus A.
Published: September 2021

In this paper, a Lagrangian-Eulerian (LE) two-way coupling model is developed to numerically study the cavitation bubble cloud. In this model, the gas-liquid mixture is treated directly as a continuous and compressible fluid and the governing equations are solved by methods in Eulerian descriptions. An isobaric closure exhibiting better consistency properties is applied to evaluate the pressure of gas-liquid mixture. The dispersed gas/vapor bubbles are tracked in a Lagrangian fashion, and their compression and expansion are described by a modified Rayleigh-Plesset equation, which considers the close-by flow properties other than these of the infinity for each bubble. The performance of the present method is validated by a number of benchmark tests. Then, this model is applied to study how the bubble cloud affects the shape and propagation of a pressure wave when the pressure pulse travels through. In the end, a three-dimensional simulation of a vapor cloud’s Rayleigh collapse is carried out, and the induced extreme pressure is discussed in detail. The total bubble number’s influence on the extreme collapse pressure and the size distribution of bubbles during the collapse are also analyzed.
The Holocene Evolution of the Volturno Coastal Plain (Northern Campania, Southern Italy): Implications for the Understanding of Subsidence Patterns
Authors: Buffardi Carla , Barbato Regina , Vigliotti Marco , Mandolini Alessandro , Ruberti Daniela
Published: September 2021

In the Mediterranean area, several alluvial coastal plains, developed after the Holocene transgression, are affected by subsidence. The Volturno alluvial-coastal plain, along the eastern Tyrrhenian Sea (southern Italy) is characterized by subsidence rates determined through InSAR data analysis and ranging between 0 and <−20 mm/year in an area of about 750 kmq across the Volturno River. Inside this area, the pattern of subsidence shows sites with apparently anomalous localized subsidence. To understand the driving mechanisms of this process, a lithostratigraphic reconstruction was provided focusing on the spatial distribution of the horizons considered weak by a geotechnical point of view; then, the subsidence map was overlain spatially with geological data in a Geographic Information System (GIS) environment. The spatial analysis highlighted the major ground deformation occurring within the outer boundary of the incised paleo-valley, corresponding to the Holocene alluvial/transitional filling that overlies a compaction-free Pleistocene basement. Inside this general trend, differential compaction was detected corresponding to the thick occurrence of clay and peat deposits, suggesting that the subsidence rate registered in the plain are due in part to the consolidation of primary settlements of soft and compressible soils that characterize the subsoil of these areas, and in large part to the secondary consolidation settlements.
El Proyecto educativo del desarrollo de la educación patrimonial en estudiantes de Marxismo-Leninismo de la Universidad de Holguín, Cuba.
Authors: Gonzalez Blanco Anabel , Palomo Alemán Adalys Grisell , Rojas Alcina. Mercedes del Carmen
Published: September 2021

El objetivo del artículo consistió en presentar los resultados de un proyecto educativo del desarrollo de la educación patrimonial en estudiantes de la carrera Licenciatura en Educación Marxismo Leninismo e Historia en la Universidad de Holguín. La metodología empleada privilegia la utilización de enfoques cualitativos de investigación. Se empleó el método de experimentación sobre el terreno. Los principales resultados alcanzados posibilitaron enriquecer la Didáctica de la Historia de Cuba con fuentes del conocimiento de carácter patrimonial y los procedimientos didácticos para realizar la lectura de la información que ofrecen las mismas y contribuir al cuidado y conservación del patrimonio histórico. La interacción con las fuentes y ampliación de conocimientos culturales acerca del tema permitió constatar el desarrollo de una educación patrimonial en los estudiantes.
Resiliência nos modos de ser e estar de estudantes de Cursos de Licenciatura da Universidade Federal de Juiz de Fora
Authors:   , Pereira Raquel Rinco Dutra
Published: September 2021

Muitos estudantes sonham com a universidade, fazem planos e traçam metas para suas vidas acadêmicas. Porém, nem sempre o Ensino Superior se dá de maneira aprazível e tranquila como imaginam e sonham ao sair do Ensino Médio. Apesar de vários estudos apontarem para grande ocorrência de adoecimento discente no Ensino Superior, ainda são em número reduzido as pesquisas que buscam investigar como os estudantes se comportam perante as situações de adversidades que encontram nesse percurso. Dessa forma, essa pesquisa se propõe a investigar a existência de fatores estressores e/ou protetivos nos modos de ser e estar dos estudantes dos cursos de licenciatura da Universidade Federal de Juiz de Fora. Como desdobramento, busca-se conhecer que outros fatores podem contribuir para favorecer a resiliência. Consiste, dessa forma, em uma pesquisa de caráter qualitativo, exploratório e descritivo, tendo no grupo focal sua principal estratégia de pesquisa. Ao realizar os encontros de grupo focal com os estudantes, foi possível perceber que os principais fatores estressores explicitados foram dificuldades financeiras, mudança de cidade, dificuldades acadêmicas ao ingressar na universidade, impossibilidade de conciliar trabalho e estudo, competitividade e desvalorização da profissão docente. Já os principais fatores considerados protetivos e que contribuem no favorecimento da resiliência foram família, amigos, participação em monitorias, projetos de pesquisa, apoio institucional, sentimentos de pertencimento e esperança. Além disso, observou-se a relevância da espiritualidade na vida dos acadêmicos. Para o estudo dos dados registrados, buscamos inspiração especialmente na teoria da Logoterapia e Análise Existencial de Viktor Frankl.
As comissões da verdade no Brasil e a construção de narrativas sobre a repressão a pessoas LGBT durante a ditadura militar
Authors:   , Batista Ana Cecília Pereira
Published: September 2021

Essa pesquisa propõe-se a investigar o modo como as comissões da verdade no Brasil incorporaram aos seus trabalhos a repressão que o Estado dirigiu a lésbicas, gays, bissexuais, travestis, transexuais e transgêneros durante o período da ditadura militar. Para isso serão analisados os relatórios produzidos pelas comissões brasileiras (em especial pela Comissão Nacional da Verdade e pelas comissões estaduais de São Paulo e do Rio de Janeiro, as únicas que contemplaram a questão), gravações de audiências públicas realizadas sobre o tema e depoimentos de atores que participaram da construção dessas iniciativas. A partir disso, o intuito é averiguar o modo como esses mecanismos acolheram as narrativas sobre a repressão a pessoas LGBT. Interessa também refletir sobre o lugar que esses sujeitos ocupam no debate sobre os direitos humanos no Brasil e o que os enquadramentos realizados pelas comissões podem indicar sobre a construção de políticas de memória sobre a ditadura