bluuebunny/crossref_metadata_2025 huggingface dataset:
The Neglected Dress—Re-Evaluating the Iconography of the “True Visage” (Zhenrong) Mañjuśrī
Authors: Wu Hong
Published: March 2024

The development of the cult of Mount Wutai was a milestone event in the history of Chinese Buddhism. Crucial in that development was a novel depiction of Mañjuśrī, believed to be transmitting the deity’s “true visage” (zhenrong). While consensus suggests that the primary new aspect of that depiction is the ethnicity of the attendant for Mañjuśrī’s animal vehicle, it is puzzling that the true visage of a saintly figure is defined externally, by his attendant, rather than internally, within his own stylistic or iconographic configuration. This paper critically re-evaluates arguments and evidence surrounding this issue and argues that the image of the True Visage Mañjuśrī invented at Mount Wutai has specific iconographic features in his own representation. Uncovering the heretofore neglected iconographic specificities provides a more fine-grained understanding of how visual devices contributed to the cult of Mount Wutai, while also bringing renewed thinking about the notion of auspicious images and their replication.
Towards Socially Responsible Consumption: Assessing the Role of Prayer in Consumption
Authors: Jabłońska-Karczmarczyk Katarzyna
Published: March 2024

The issue of socially responsible consumer behavior has been of great interest to researchers for years. It seems important to acquire knowledge about consumer behavior, especially among young people, who are a special group of consumers. In recent years, it is not only the purchasing power of young people that has been growing, but also the range of market choices they make. In this context, it is important to identify the determinants of consumer behavior to predict the directions of changes in the behavior of young people as consumers. One of the interesting research areas is determining the role of prayer, or more broadly, human spiritual development, in shaping consumer behavior. Some research suggests that there is a relationship between religion, or more precisely, religious practices and consumption. This work presents the most important definitions of a socially responsible consumer, presenting the most important aspects of this attitude. This work also presents previous research on the relationship between religiosity, prayer and consumer behavior. This research on the SRC attitude among young people was conducted using an online survey. The collected data were tested using the χ2 test of independence. Owing to the obtained results, it was possible to indicate the aspects of SRC in which the attitude to prayer is important.
Performance Analysis of Multi-GNSS Real-Time PPP-AR Positioning Considering SSR Delay
Authors: Mu Xuefeng , Wang Li , Shu Bao , Tian Yunqing , Li Xinrui , Lei Tijun , Huang Guanwen , Zhang Qin
Published: March 2024

For real-time (RT) precise point positioning (PPP), the state space representation (SSR) information is often delayed due to possible communication delays and specific broadcast intervals. In this case, the positioning results will diverge and re-converge due to the increase of SSR products extrapolation errors. In addition, RT orbit and clock offset accuracy, as well as their extrapolation errors, will vary in different systems and satellites. We propose a PPP with ambiguity resolution (PPP-AR) method that combines a time-differenced carrier phase (TDCP) model, in which the characteristics of the orbit and clock are considered. Under normal communication, the PPP-AR solution is obtained by fixing satellites with small SSR product errors. When the communication is abnormal, the TDCP model is utilized to extrapolate user coordinates by considering different extrapolation error characteristics of satellites. The experimental results show that GPS and Galileo SSR products have better accuracy than BDS, with signal-in-space user ranger errors (SISREs) of 2.7, 2.2, and 8.6 cm, respectively. Optimizing the PPP stochastic model based on SISREs can effectively reduce the convergence time. Under 5 min SSR delay, SISREs caused by clock and orbit extrapolation for GPS/Galileo/BDS are 3.5, 1.4, and 2.6 cm, respectively. After optimizing the TDCP stochastic model based on extrapolation errors, the horizontal and vertical positioning accuracies can be maintained at 0.7 cm and 5.0 cm. For multi-GNSS, the combination of the TDCP and PPP-AR can overcome the influence of short delay. After optimizing the stochastic model, the GPS/Galileo/BDS positioning accuracy can be maintained at about 2.4 cm under 3 min delay, showing an accuracy improvement rate of 59.3% compared with the traditional method using only PPP. Additionally, the rapid PPP convergence results can be obtained by inheriting previous filter state information when the communication recovers normally.
Mapping Geothermal Indicator Minerals Using Fusion of Target Detection Algorithms
Authors: Cavur Mahmut , Yu Yu-Ting , Demir Ebubekir , Duzgun Sebnem
Published: March 2024

Mineral mapping from satellite images provides valuable insights into subsurface mineral alteration for geothermal exploration. In previous studies, eight fundamental algorithms were used for mineral mapping utilizing USGS spectra, a collection of reflectance spectra containing samples of minerals, rocks, and soils created by the USGS. We used an ASD FieldSpec 4 Hi-RES NG portable spectrometer to collect spectra for analyzing ASTER images of the Coso Geothermal Field. Then, we established the ground-truth information and the spectral library by analyzing 97 samples. Samples collected from the field were analyzed using the CSIRO TSG (The Spectral Geologist of the Commonwealth Scientific and Industrial Research Organization). Based on the mineralogy study, multiple high-purity spectra of geothermal alteration minerals were selected from collected data, including alunite, chalcedony, hematite, kaolinite, and opal. Eight mineral spectral target detection algorithms were applied to the preprocessed satellite data with a proposed local spectral library. We measured the highest overall accuracy of 87% for alunite, 95% for opal, 83% for chalcedony, 60% for hematite, and 96% for kaolinite out of these eight algorithms. Three, four, five, and eight algorithms were fused to extract mineral alteration with the obtained target detection results. The results prove that the fusion of algorithms gives better results than using individual ones. In conclusion, this paper discusses the significance of evaluating different mapping algorithms. It proposes a robust fusion approach to extract mineral maps as an indicator for geothermal exploration.
Evaluation and Selection of Multi-Spectral Indices to Classify Vegetation Using Multivariate Functional Principal Component Analysis
Authors: Pesaresi Simone , Mancini Adriano , Quattrini Giacomo , Casavecchia Simona
Published: March 2024

The identification, classification and mapping of different plant communities and habitats is of fundamental importance for defining biodiversity monitoring and conservation strategies. Today, the availability of high temporal, spatial and spectral data from remote sensing platforms provides dense time series over different spectral bands. In the case of supervised mapping, time series based on classical vegetation indices (e.g., NDVI, GNDVI, …) are usually input characteristics, but the selection of the best index or set of indices (which guarantees the best performance) is still based on human experience and is also influenced by the study area. In this work, several different time series, based on Sentinel-2 images, were created exploring new combinations of bands that extend the classic basic formulas as the normalized difference index. Multivariate Functional Principal Component Analysis (MFPCA) was used to contemporarily decompose the multiple time series. The principal multivariate seasonal spectral variations identified (MFPCA scores) were classified by using a Random Forest (RF) model. The MFPCA and RF classifications were nested into a forward selection strategy to identify the proper and minimum set of indices’ (dense) time series that produced the most accurate supervised classification of plant communities and habitat. The results we obtained can be summarized as follows: (i) the selection of the best set of time series is specific to the study area and the habitats involved; (ii) well-known and widely used indices such as the NDVI are not selected as the indices with the best performance; instead, time series based on original indices (in terms of formula or combination of bands) or underused indices (such as those derivable with the visible bands) are selected; (iii) MFPCA efficiently reduces the dimensionality of the data (multiple dense time series) providing ecologically interpretable results representing an important tool for habitat modelling outperforming conventional approaches that consider only discrete time series.
Expanded Signal to Noise Ratio Estimates for Validating Next-Generation Satellite Sensors in Oceanic, Coastal, and Inland Waters
Authors: Kudela Raphael M. , Hooker Stanford B. , Guild Liane S. , Houskeeper Henry F. , Taylor Niky
Published: March 2024

The launch of the NASA Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) and the Surface Biology and Geology (SBG) satellite sensors will provide increased spectral resolution compared to existing platforms. These new sensors will require robust calibration and validation datasets, but existing field-based instrumentation is limited in its availability and potential for geographic coverage, particularly for coastal and inland waters, where optical complexity is substantially greater than in the open ocean. The minimum signal-to-noise ratio (SNR) is an important metric for assessing the reliability of derived biogeochemical products and their subsequent use as proxies, such as for biomass, in aquatic systems. The SNR can provide insight into whether legacy sensors can be used for algorithm development as well as calibration and validation activities for next-generation platforms. We extend our previous evaluation of SNR and associated uncertainties for representative coastal and inland targets to include the imaging sensors PRISM and AVIRIS-NG, the airborne-deployed C-AIR radiometers, and the shipboard HydroRad and HyperSAS radiometers, which were not included in the original analysis. Nearly all the assessed hyperspectral sensors fail to meet proposed criteria for SNR or uncertainty in remote sensing reflectance (Rrs) for some part of the spectrum, with the most common failures (>20% uncertainty) below 400 nm, but all the sensors were below the proposed 17.5% uncertainty for derived chlorophyll-a. Instrument suites for both in-water and airborne platforms that are capable of exceeding all the proposed thresholds for SNR and Rrs uncertainty are commercially available. Thus, there is a straightforward path to obtaining calibration and validation data for current and next-generation sensors, but the availability of suitable high spectral resolution sensors is limited.
Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference
Authors: Zhang Junlin , Shi Zihui , Chen Yunfei , Liu Mingqian
Published: March 2024

Reliable identification of spatial parameters for multiple-input multiple-output (MIMO) systems, such as the number of transmit antennas (NTA) and the direction of arrival (DOA), is a prerequisite for MIMO signal separation and detection. Most existing parameter estimation methods for MIMO systems only consider a single parameter in Gaussian noise. This paper develops a reliable identification scheme based on generalized multi-antenna time-frequency distribution (GMTFD) for MIMO systems with non-Gaussian interference and Gaussian noise. First, a new generalized correlation matrix is introduced to construct a generalized MTFD matrix. Then, the covariance matrix based on time-frequency distribution (CM-TF) is characterized by using the diagonal entries from the auto-source signal components and the non-diagonal entries from the cross-source signal components in the generalized MTFD matrix. Finally, by making use of the CM-TF, the Gerschgorin disk criterion is modified to estimate NTA, and the multiple signal classification (MUSIC) is exploited to estimate DOA for MIMO system. Simulation results indicate that the proposed scheme based on GMTFD has good robustness to non-Gaussian interference without prior information and that it can achieve high estimation accuracy and resolution at low and medium signal-to-noise ratios (SNRs).
Patterns of Social Media Use across Age Groups during the COVID-19 Pandemic: A Study across Four Countries
Authors: Bonsaksen Tore , Thygesen Hilde , Leung Janni , Lamph Gary , Kabelenga Isaac , Østertun Geirdal Amy
Published: March 2024

The aim of this study was to examine patterns of social media use across age groups in four countries (Norway, USA, UK, and Australia) two years after the COVID-19 pandemic outbreak, and whether types of use and time spent using social media was related to health worries. A cross-sectional online survey was completed by 1578 adult participants. The data were analysed with one-way analyses of variance and a linear regression analysis. Younger people spent more time on and were more likely to be passive users of social media than older people. Motives for social media use, and perceived effects of using social media, varied by participants’ age. Passive social media use and more time spent using social media were related to higher levels of health worries. Thus, an age perspective is relevant for understanding patterns of social media use, and different types of social media use appear to be differently related to health worries.
Exploring the Underlying Barriers for the Successful Transition for Women from Higher Education to Employment in Egypt: A Focus Group Study
Authors: Rana Muhammad Qasim , Fahim Shadia , Saad Mohammed , Lee Angela , Oladinrin Olugbenga Timo , Ojo Lekan Damilola
Published: March 2024

Education is the foundation of culture and the engine of economies; it is an essential part of life. However, it remains inaccessible or unavailable in some parts of developing nations. Moreover, such barriers for girls and women can extend beyond education and into the workplace, and this is a bone of contention based on erroneous beliefs and other factors. Barriers for girls’ and women’s education are debatable in the literature; however, there is a sparsity of literature that focuses on the bridge to the workplace. Therefore, through a focus group study, this study explores the barriers that prohibit the transition for women from higher education to employment in Egypt. Based on qualitative data from focus group participants, the barriers to girls’ and women’s education are related to cultural, economic, family, and structural–educational barriers. In addition, stereotypical thinking and discrimination are factors hindering girls and women from ‘decent’ employment in Egypt. Based on this study’s results, some practical recommendations were elicited, which centre around awareness enhancement, formulation of laws and policies, and development of employability skills and entrepreneurship skills. The managerial and societal implications of this study are illustrated. It is anticipated that the results of this study will serve to create an inherent need to undertake a larger survey to investigate the barriers from a wider number of respondents.
Distribution, Accumulation and Translocation of the Heavy Metal Cd in Various Varieties of Edible Rapeseed under Cd Stress
Authors: Liu Jing , Kang Lingyun , Du Lianfeng , Liao Shangqiang , Dong Wei , Ma Maoting , Zou Guoyuan , Li Shunjiang
Published: March 2024

To examine the safety of producing edible rapeseed in heavy-metal-contaminated farmland, field experiments were performed with 25 varieties of edible rapeseed on farmland lightly polluted with Cd in the central southern part of Hunan Province. Growing characteristics and Cd contents in rapeseed tissues were measured, and Cd uptake, translocation and removal potential were calculated. The results showed that the growth of 25 rapeseed varieties was not inhibited without withering or inconsistent changes in the shoot. The shoot and root Cd contents of rapeseed varieties ranged from 0.05 to 0.26 mg·kg−1 and 0.04 to 0.26 mg·kg−1, respectively. The bioaccumulation factor (BCF) showed that the shoot had a greater capacity for Cd transport than roots. The total Cd removed by rapeseed varieties ranged from 1.606 to 16.159 μg·plant−1. There were significant differences in plant height, BCF of soil available Cd in the shoot, translocation factor (TCF) of Cd from root to shoot and Cd intake by rapeseed among the edible rapeseed varieties. Cluster analysis of Cd accumulation in the 25 rapeseed varieties indicated that Lvjin 1, Guanyou Qingjing and Guanyou brassica not only reduced soil pollution but also allowed for the production of safe leafy rapeseed, although Cd contents in the shoot of 25 rapeseed varieties did not exceed the national safety standards of China.
Assessing the Financial Viability and Sustainability of Circular Business Models in the Wine Industry: A Comparative Analysis to Traditional Linear Business Model—Case of Georgia
Authors: Chkareuli Vakhtang , Darguashvili Gvantsa , Atstaja Dzintra , Susniene Rozita
Published: March 2024

In the contemporary global context, waste management and the judicious utilization of resources have emerged as pressing concerns. Consequently, the concept of a circular business model has gained prominence as a viable solution. This innovative model reframes waste not as a disposable byproduct but as an opportunity to generate new value, setting it apart from the conventional linear business model, particularly in financial, economic, and operational dimensions. Numerous industries grapple with the issue of excessive waste generation, among them the wine industry, notable for its substantial water and grape waste outputs. This predicament holds significant ramifications both on a global scale and within the specific context of Georgia. Yet, it also presents an innovative avenue for waste recycling. This study draws upon a comprehensive review of internationally recognized literature, noted for their scholarly significance and citation prevalence. In its practical segment, two distinct investment projects have been meticulously developed which seek to evaluate the financial viability of the circular business model in contrast to the conventional linear business model. The investment projects considered are as follows: 1. Under the framework of a linear business model, the company exclusively engages in the production and sale of wine. 2. Within the circular business model paradigm, the company not only produces wine but also harnesses waste processing to yield grape seed oil, which is subsequently marketed alongside wine bottles. Both models undergo rigorous scrutiny, employing a comprehensive analysis of key financial indicators essential for assessing project profitability and efficiency. The outcomes of this investigation reveal that, under identical capital investment conditions, the circular business model surpasses the linear model in terms of profitability. This underscores the potential for sustainable practices within the wine industry and the broader business landscape.
Sustainable Finance and ESG Importance: A Systematic Literature Review and Research Agenda
Authors: Zairis Georgios , Liargovas Panagiotis , Apostolopoulos Nikolaos
Published: March 2024

Over the last decade, sustainable finance has appeared to be capturing a high level of interest as a crucial pillar of sustainable development. The process of taking environmental, social, and governance (ESG) considerations into account when making investment decisions in the financial sector is expected to play a key role in this framework, and although it has attracted the attention of many scholars and academics, a lack of understanding of the nature of the phenomenon remains. Therefore, on the basis of a systematic literature review of 80 studies, we examine, in detail, the subject areas and emphasize the main points in the existing literature. The findings reveal that there are four main thematic areas attracting research interest, as follows: (1) A shift in value creation; (2) green bonds; (3) ESG ratings and performance; and (4) sustainable finance, banking, and financial risks. Finally, this study outlines future research avenues in the field.
Advancing Sustainable Building Practices: Intelligent Methods for Enhancing Heating and Cooling Energy Efficiency
Authors: Agouzoul Abdelali , Simeu Emmanuel , Tabaa Mohamed
Published: March 2024

Our work is dedicated to enhancing sustainability through improved energy efficiency in buildings, with a specific focus on heating and cooling control and the optimization of thermal comfort of occupants. With an energy consumption of more than 60% in buildings, HVAC systems are the biggest energy users. By integrating advanced technology, data algorithms, and digital twins, our study aims to optimize energy performance effectively. We have developed a Neural Network-based Model Predictive Control (NNMPC) to achieve this goal. Leveraging technologies such as MQTT communication, Wi-Fi modules, and field-programmable gate arrays will enhance scalability and flexibility. Our findings demonstrate the efficacy of the NNMPC system deployed on the PYNQ board for reducing sensible thermal energy usage for both cooling and heating purposes. Compared to traditional On/Off control systems, the NNMPC achieved an impressive 40.8% reduction in heating energy consumption and a 37.8% decrease in cooling energy consumption in 2006. In comparison to the On/Off technique, the NNMPC demonstrated a 25.6% reduction in annual heating energy consumption and a 28.8% drop in annual cooling energy consumption in the simulated year of 2017. We observed that, across all strategies and platforms, there were no instances where the Predicted Mean Vote (PMV) fell below −0.5. However, a significant proportion of PMV values (ranging from 65% to 83%) were observed between −0.5 and 0.5, signifying a high level of occupant comfort. Additionally, for PMV values between 0.5 and 1.0, percentages ranged from 16% to 33% for both years. Importantly, the NNMPC exhibited notable efficiency in maintaining occupants’ comfort within this range, requiring less energy while ensuring highly satisfactory environments.
Recent Research in Solar-Driven Hydrogen Production
Authors: Deng Yimin , Li Shuo , Liu Helei , Zhang Huili , Baeyens Jan
Published: March 2024

Climate concerns require immediate actions to reduce the global average temperature increase. Renewable electricity and renewable energy-based fuels and chemicals are crucial for progressive de-fossilization. Hydrogen will be part of the solution. The main issues to be considered are the growing market for H2 and the “green” feedstock and energy that should be used to produce H2. The electrolysis of water using surplus renewable energy is considered an important development. Alternative H2 production routes should be using “green” feedstock to replace fossil fuels. We firstly investigated these alternative routes through using bio-based methanol or ethanol or ammonia from digesting agro-industrial or domestic waste. The catalytic conversion of CH4 to C and H2 was examined as a possible option for decarbonizing the natural gas grid. Secondly, water splitting by reversible redox reactions was examined, but using a renewable energy supply was deemed necessary. The application of renewable heat or power was therefore investigated, with a special focus on using concentrated solar tower (CST) technology. We finally assessed valorization data to provide a tentative view of the scale-up potential and economic aspects of the systems and determine the needs for future research and developments.
A Study of Sustainability Concepts for Developing Green Universities in Thailand
Authors: Aregarot Preecha , Kubaha Kuskana , Chiarakorn Siriluk
Published: March 2024

Developing universities to become green and sustainable universities is important. This is in line with the world’s sustainable development guidelines. In developing a university towards being green and sustainable, different sustainability assessment criteria have been used, including the UI GreenMetric, GRI, STARS, AUN, THE’S Impact Ranking, and AISHE. Each criterion is designed in a broad-spectrum manner that is not specific. Therefore, this research aims to develop sustainable and green university assessment indicators that suit the national context in Thailand, both in terms of the size and location of universities. Based on the criteria from the UI GreenMetric, there are six categories, totaling 51 indicators. Thus, this study aims to analyze the weaknesses and strengths of each indicator using a questionnaire distributed by the Sustainable University Network of Thailand to all 36 universities and to organize a meeting with sustainability experts (focus group) in each area. To obtain appropriate indicators and to prioritize each indicator, the analytic hierarchy process (AHP) and weighted arithmetic mean (WAM) method were used to develop an index of sustainability assessment criteria (GU SI) suitable for the Thai context. The results of this study show that the newly developed GU SI comprises seven aspects, including a total of 27 indicators. These are criteria that can be used to assess the sustainability of small, medium, and large universities. They are not complex, are straightforward to use, and more importantly reflect the Thai context. By applying these new sustainability assessment criteria, it was found that the universities sampled in this study yielded significantly high scores. This study is limited by its application of sustainability assessments to only universities in Thailand. Though there are different contexts across different Thai universities, the proposed indicators can still be used to evaluate the sustainability of universities in Thailand.
Higher Education Institutions in Italy and Europe Offering Education and Training Programs in Social Agriculture
Authors: Makau Sarah Mojela , Senni Saverio , Moretti Carla , Romanazzi Gianfranco
Published: March 2024

Over the past few decades, social agriculture, a component of multifunctional agriculture, has grown in popularity due to its numerous benefits for a variety of people, including those with learning and intellectual disabilities. A survey was conducted to assess social agricultural courses or modules offered by tertiary institutions. The study found that Italy and The Netherlands have the highest number of education and training programs that offer a full curriculum and/or individual social agriculture courses. In Norway, continuing and further education courses are frequently used to teach social agriculture. The Czech Republic, Austria, Germany, and the United Kingdom also have prominent social agriculture degree programs. The findings of this survey reveal a disconnect between the agricultural and therapeutic aspects of social agriculture educational programs. Most programs have well-tailored agriculture modules, while others have excellent therapeutic modules to the detriment of the other. Thus, social agriculture programs that focus on all aspects must be developed. Additionally, accreditation bodies are also needed.
Nested Markets and the Transition of the Agro-Marketing System towards Sustainability
Authors: Milone Pierluigi , Ventura Flaminia
Published: March 2024

We are currently witnessing a global transition (albeit slow) towards new, more sustainable models of development and consumption. This transition activates and highlights a series of discrepancies between the various actors in agri-food marketing systems, including the institutions that govern regulatory and trade aspects. These discrepancies highlight that the global agri-marketing system does not provide adequate responses to the principles of sustainability. This is due to a mixture of opportunism, information asymmetries, and ‘lock-in effects’, which create serious market failures. This, in turn, brings structural holes, in which new forms of exchange are born. We identify these as nested markets: hybrid market forms that often use new information technologies and create a new form of proximity in which reciprocity and reputation play a central role. In this article, we argue that the market is not only the place where prices and quantities are assessed. Markets are complex social spaces, where more-or-less stable relationships are formed, based on values of reciprocity and reputation that contain opportunism. This article discusses the many well-documented cases of new markets. This article argues that these new markets are characterized by a strong specificity of the resources used (that include territory, sustainability, and solidarity).
Investigating Energy Renovation of Multi-Owner Buildings and Real Estate Market Issues in a Degraded Greek Urban Area
Authors: Triantafyllopoulos Nikolaos
Published: March 2024

States establish ambitious policies and important measures to achieve targets for the energy upgrade of buildings but although some important barriers prevent their implementation in space, they are rather overlooked by research. In this paper, it is argued that extensive multi-ownership (MO) and weak performance of the real estate market in degraded urban areas impede the mass energy retrofitting of multi-owner buildings (MOBs), which are an important part of the urban building stock A deprived area of central Athens (Greece) that serves as a case study. With a pluridisciplinary approach based on extensive field surveys, cadastral data analysis and cases of energy renovation of buildings through a public–private partnership financing scheme as well as ways to overcome the MO issue were explored, according to the provisions of the Greek legal framework. The integrated urban regeneration approach is promoted as a means to encounter the MO issue and enhance the functioning of the real estate market by the generation of surplus values that will render the energy retrofitting of buildings more attractive to investors and thus achieve the deep renovation of MOBs towards the sustainability of the urban environment. This paper ultimately advocates the integration of energy planning with spatial planning.
Study on Shear Characteristics of Herbs Plant Root–Soil Composite System in Beiluhe Permafrost Regions under Freeze–Thaw Cycles, Qinghai–Tibet Highway, China
Authors: Wang Cheng , Hu Xiasong , Lu Haijing , Liu Changyi , Zhao Jimei , Xing Guangyan , Fu Jiangtao , Li Huatan , Zhou Zhe , Lv Weitao , Liu Yabin , Li Guorong , Zhu Haili , He Dequan
Published: March 2024

In order to study the root–soil composite system shear characteristics under the action of freeze–thaw cycles in the permafrost regions along the Qinghai–Tibet Highway (QTH) from the Beiluhe–Tuotuohe (B-T) section, the slopes in the permafrost regions along the QTH from the B-T section were selected as the object of the study. The direct shear test of root–soil composite systems under different amounts of freeze–thaw (F-T) cycles and gray correlations were used to analyze the correlation between the number of F-T cycles, water content, root content, and the soil shear strength index. The results show that the cohesion of the soil in the area after F-T cycles exhibits a significant stepwise decrease with an increase in F-T cycles, which can be divided into three stages: the instantaneous stage (a decrease of 46.73–56.42%), the gradual stage (a decrease of 14.80–25.55%), and the stabilization stage (a decrease of 0.61–2.99%). The internal friction angle did not exhibit a regular change. The root–soil composite system showed significant enhancement of soil cohesion compared with soil without roots, with a root content of 0.03 g/cm3 having the most significant effect on soil cohesion (increasing amplitude 65.20–16.82%). With an increase in the number of the F-T cycles, while the water content is greater than 15.0%, the greater the water content of the soil, the smaller its cohesion becomes. Through gray correlation analysis, it was found that the correlation between the number of F-T cycles, water content, root content, and soil cohesion after F-T cycles were 0.63, 0.72, and 0.66, respectively, indicating that water content had the most significant impact on soil cohesion after F-T cycles. The results of this study provide theoretical support for further understanding the variation law of the shear strength of root–soil composite systems in permafrost regions under F-T cycles and the influencing factors of plant roots to enhance soil shear strength under F-T cycles, as well as for the scientific and effective prevention and control of retrogressive thaw slump in the study area, the QTH stretches across the region.
The Importance of the Circular Economy Concept among Organizations within the Food Sector and a Management Systems Perspective
Authors: Kafel Piotr , Rudziński Krzysztof
Published: March 2024

The concept of the circular economy is becoming an increasingly important issue within the economic and political sphere. The aim of the study is to check the opinions of representatives of organizations on the need to act in accordance with the principles of the circular economy concept in organizations and to indicate the differences in these opinions, taking into account the following aspects: the number of implemented management systems and the FSMS implementation. The survey method was used in the study. The surveyed organizations were divided into groups according to two criteria: having implemented food safety management systems and the total number of implemented management systems. The Mann–Whitney U test was used to analyze differences between groups. The conducted research showed that the organizations with more than three MSSs perceive a greater need to act in accordance with the principles of the CE than other companies. There was no sufficient proof to support the hypothesis concerning the higher engagement of food sector organizations in circular economy activities. The size of the organization is a factor that is also irrelevant in this context.
Contributions of the 9-Layered Model of Giftedness to the Development of a Conversational Agent for Healthy Ageing and Sustainable Living
Authors: Karyotaki Maria , Drigas Athanasios , Skianis Charalabos
Published: March 2024

The 9-Layered Model of Giftedness is an innovative conceptual framework composed of an integrated set of abilities, skills and values that align with Goals 3, 4 and 8 of the UN Sustainable Development Goals for 2030: Good Health and Well-Being, Quality Education, and Decent Work and Economic Growth, respectively. The corresponding hierarchical model considers metacognitive abilities, such as attentional control and self-regulation, as well as personal values and attitudes towards life, such as sustainability and inclusiveness, as major qualitative criteria encapsulated in the construct of giftedness, thereby reframing intelligence per se into collective intelligence. Moreover, a chatbot was developed, incorporating knowledge and computerised tools organised into modules that support lifelong learning—a key metacognitive competency for the Industry 4.0 era—thereby enhancing personal and professional development.
Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam
Authors: Tri Doan Quang , Nhat Nguyen Van , Tuyet Quach Thi Thanh , Pham Ha T. T. , Duc Pham Tien , Thanh Thuy Nguyen
Published: March 2024

The increase in extreme weather events causes secondary hazards that can influence people and the environment enormously. The Ca Mau Peninsula is known as one of the areas most severely affected by drought, and excessive groundwater exploitation is one of the reasons leading to a higher risk of land subsidence. This study uses the Delphi method and the KAMET rule table to analyze and select indicators that affect subsidence. The study uses the analytic hierarchy process (AHP) analytical hierarchy method to evaluate the weights of influencing factors, combined with geographic information system (GIS) technology to overlay the map layers of the main influencing factors and build a subsidence risk warning zoning map of the study area. The influencing factors selected to evaluate the impact on land subsidence in the study area during the drought period included geological structure, soil characteristics, groundwater flow exploitation, water flow in the dry season, current land use status, and evaporation in the dry season. The weights of these factors were evaluated based on the synthesis of relevant documents as well as consultation with experts. The results indicate that nearly two-thirds of the Ca Mau Peninsula area is currently at very low or low risk of subsidence. Meanwhile, 23% of the area is at medium risk, nearly 9% is at high risk, and 0.1% of the study area is at very high risk. Subsidence risk warning zoning maps can provide a visual and general overview of areas with high subsidence risk, supporting managers in making reference plans for socio-economic development in the Ca Mau Peninsula.
HepG2BD: A Novel and Versatile Cell Line with Inducible HDV Replication and Constitutive HBV Expression
Authors: Blanchet Matthieu , Angelo Léna , Tétreault Yasmine , Khabir Marwa , Sureau Camille , Vaillant Andrew , Labonté Patrick
Published: March 2024

Individuals chronically infected with hepatitis B virus (HBV) and hepatitis Delta virus (HDV) present an increased risk of developing cirrhosis and hepatocellular carcinoma in comparison to HBV mono-infected individuals. Although HDV only replicates in individuals coinfected or superinfected with HBV, there is currently no in vitro model that can stably express both viruses simultaneously, mimicking the chronic infections seen in HBV/HDV patients. Here, we present the HepG2BD cell line as a novel in vitro culture system for long-term replication of HBV and HDV. HepG2BD cells derive from HepG2.2.15 cells in which a 2 kb HDV cDNA sequence was inserted into the adeno-associated virus safe harbor integration site 1 (AAVS1) using CRISPR-Cas9. A Tet-Off promoter was placed 5′ of the genomic HDV sequence for reliable initiation/repression of viral replication and secretion. HBV and HDV replication were then thoroughly characterized. Of note, non-dividing cells adopt a hepatocyte-like morphology associated with an increased production of both HDV and HBV virions. Finally, HDV seems to negatively interfere with HBV in this model system. Altogether, HepG2BD cells will be instrumental to evaluate, in vitro, the fundamental HBV–HDV interplay during simultaneous chronic replication as well as for antivirals screening targeting both viruses.
Prevalence of Respiratory Viral Infections in Deceased Persons during the COVID-19 Pandemic Season 2021–2022: A Population-Based Observational Study
Authors: Trobajo-Sanmartín Camino , Navascués Ana , Fernández-Huerta Miguel , Martínez-Baz Iván , Casado Itziar , Ezpeleta Carmen , Castilla Jesús
Published: March 2024

Although the omicron variant of SARS-CoV-2 circulated intensely during the 2021–2022 season, many patients with severe acute respiratory disease tested negative for COVID-19. The aim of this study was to assess the presence of different respiratory viruses in deceased persons. The proportion of deceased persons with respiratory viral infections in the 2021–2022 season in Navarre, Spain, was estimated considering all deaths caused by confirmed COVID-19 according to the epidemiological surveillance and the results of multiplex PCR tests for respiratory viruses performed in a sample of deceased persons with a cause of death other than COVID-19. Of 3578 deaths, 324 (9.1%) were initially reported as caused by pre-mortem confirmed COVID-19. A sample of 242 persons who died by causes other than COVID-19 were tested post-mortem; 64 (26.4%) of them were positive for any respiratory virus: 11.2% for SARS-CoV-2, 5.8% for rhinovirus, 3.7% for human coronavirus, 2.5% for metapneumovirus, 1.7% for respiratory syncytial virus, 1.7% for parainfluenza, 1.2% for influenza, and less than 1% each for adenovirus and bocavirus. Combining both approaches, we estimated that 34.4% of all deceased persons during the study period had a respiratory viral infection and 19.2% had SARS-CoV-2. Only 33.3% (9/27) of SARS-CoV-2 and 5.0% (2/40) of other viruses detected post-mortem had previously been confirmed pre-mortem. In a period with very intense circulation of SARS-CoV-2 during the pandemic, other respiratory viruses were also frequently present in deceased persons. Some SARS-CoV-2 infections and most other viral infections were not diagnosed pre-mortem. Several respiratory viruses may contribute to excess mortality in winter.
No Remdesivir Resistance Observed in the Phase 3 Severe and Moderate COVID-19 SIMPLE Trials
Authors: Hedskog Charlotte , Spinner Christoph D. , Protzer Ulrike , Hoffmann Dieter , Ko Chunkyu , Gottlieb Robert L. , Askar Medhat , Roestenberg Meta , de Vries Jutte J. C. , Carbo Ellen C. , Martin Ross , Li Jiani , Han Dong , Rodriguez Lauren , Parvangada Aiyappa , Perry Jason K. , Ferrer Ricard , Antón Andrés , Andrés Cristina , Casares Vanessa , Günthard Huldrych F. , Huber Michael , McComsey Grace A. , Sadri Navid , Aberg Judith A. , van Bakel Harm , Porter Danielle P.
Published: March 2024

Remdesivir (RDV) is a broad-spectrum nucleotide analog prodrug approved for the treatment of COVID-19 in hospitalized and non-hospitalized patients with clinical benefit demonstrated in multiple Phase 3 trials. Here we present SARS-CoV-2 resistance analyses from the Phase 3 SIMPLE clinical studies evaluating RDV in hospitalized participants with severe or moderate COVID-19 disease. The severe and moderate studies enrolled participants with radiologic evidence of pneumonia and a room-air oxygen saturation of ≤94% or >94%, respectively. Virology sample collection was optional in the study protocols. Sequencing and related viral load data were obtained retrospectively from participants at a subset of study sites with local sequencing capabilities (10 of 183 sites) at timepoints with detectable viral load. Among participants with both baseline and post-baseline sequencing data treated with RDV, emergent Nsp12 substitutions were observed in 4 of 19 (21%) participants in the severe study and none of the 2 participants in the moderate study. The following 5 substitutions emerged: T76I, A526V, A554V, E665K, and C697F. The substitutions T76I, A526V, A554V, and C697F had an EC50 fold change of ≤1.5 relative to the wildtype reference using a SARS-CoV-2 subgenomic replicon system, indicating no significant change in the susceptibility to RDV. The phenotyping of E665K could not be determined due to a lack of replication. These data reveal no evidence of relevant resistance emergence and further confirm the established efficacy profile of RDV with a high resistance barrier in COVID-19 patients.
Pandemic Risk Assessment for Swine Influenza A Virus in Comparative In Vitro and In Vivo Models
Authors: Padykula Ian , Damodaran Lambodhar , Young Kelsey T. , Krunkosky Madelyn , Griffin Emily F. , North James F. , Neasham Peter J. , Pliasas Vasilis C. , Siepker Chris L. , Stanton James B. , Howerth Elizabeth W. , Bahl Justin , Kyriakis Constantinos S. , Tompkins Stephen Mark
Published: March 2024

Swine influenza A viruses pose a public health concern as novel and circulating strains occasionally spill over into human hosts, with the potential to cause disease. Crucial to preempting these events is the use of a threat assessment framework for human populations. However, established guidelines do not specify which animal models or in vitro substrates should be used. We completed an assessment of a contemporary swine influenza isolate, A/swine/GA/A27480/2019 (H1N2), using animal models and human cell substrates. Infection studies in vivo revealed high replicative ability and a pathogenic phenotype in the swine host, with replication corresponding to a complementary study performed in swine primary respiratory epithelial cells. However, replication was limited in human primary cell substrates. This contrasted with our findings in the Calu-3 cell line, which demonstrated a replication profile on par with the 2009 pandemic H1N1 virus. These data suggest that the selection of models is important for meaningful risk assessment.
Artificial Nourishment Schemes along the Polish Coast and Lagoon Shores between 1980 and 2020, with a Particular Focus on the Hel Peninsula
Authors: Boniecka Helena , Kubacka Maria
Published: March 2024

This article reviews the literature covering the period from 1965 to 2020 dedicated to the issue of artificial beach nourishment along the Polish coast, with a particular focus on the Hel Peninsula. The primary sources used in this work include 34 reports from unpublished case studies and projects implemented by the Department of Maritime Hydrotechnics, Maritime Institute in Gdańsk, between 1971 and 2020. This paper also presents detailed information about the total fill volume in cubic meters of dredged material deposited along the Polish coast and lagoon shores in 1980–2020. During these 40 years, approximately 40.5 million m3 of sediment was deposited along the Polish coast and lagoon shores. Particular consideration was given to beach fills along the Hel Peninsula, which was at actual risk of breaking in its basal and central sections after intense storms at the turn of 1988 and 1989. The survey materials collected enabled the assessment of the coastal morphodynamics of the peninsula under the Coastal Protection Program through the prism of changes in the fill volume along the coastal sections, which were replenished with material coming from submarine deposits. The peninsula’s stability was also assessed, taking into account the ongoing climate change. Moreover, this article discusses the proposed rules and terms for protecting the Polish coast by way of artificial nourishment.
Life Cycle Assessment of a Vegetable Tannin-Based Agent Production for Waters Treatment
Authors: Santos Lucas de Lima Casseres dos , Silva Jean Bruno Melo , Neves Luisa Soares , Renato Natalia dos Santos , Moltó Julia , Conesa Juan Antonio , Borges Alisson Carraro
Published: March 2024

The scarcity of natural resources makes it essential to develop products that meet environmental requirements. This is also true for the water and wastewater treatment business, where even consolidated processes, such as coagulation and flocculation, must be improved, opening opportunities for searching for alternative options to conventional processes. Among the existing options, tannin-based agents (TBAs) have been highlighted in recent years due to their biodegradability and proven efficiency. However, little is known about the impacts of the production process of these agents on an operational/industrial scale. In this study, an examination of the environmental impacts of the full-scale production (more than 500 tons yearly) of a TBA from Acacia spp. (known as black acacia or mimosa) was carried out. To accomplish this, a life cycle assessment (LCA) was developed using openLCA version 2.0.0 to assess a cradle-to-gate system of 1 kg of packed TBA produced. Additionally, a comparison was made between the impacts of the production of TBA and a conventional water treatment agent, aluminum sulfate, to verify the benefits of producing the former. The most relevant impacts resulting from the production of 1 kg of TBA are observed in the following categories: global warming (1.52 kgCO2-eq); terrestrial (7.67 kg1.4-DCB-eq), freshwater (0.06 kg1.4-DCB-eq), and marine (0.08 kg1.4-DCB-eq) ecotoxicities; carcinogenic (0.10 kg1.4-DCB-eq) and non-carcinogenic (1.36 kg1.4-DCB-eq) human toxicities; and water use (0.02 m3). The main contributors to the impacts were the chemicals ammonium chloride and formaldehyde used, the transport of inputs, and the energy used. The aluminum sulfate showed better performance than the TBA for a greater number of categories; however, the normalization of the impacts showed the TBA as a very interesting option. The results obtained here can be used by TBA producers to act on the most impactful categories so that the production process becomes increasingly sustainable.