bluuebunny/crossref_metadata_2025 huggingface dataset:
Encapsulation of Carotenoids as Food Colorants via Formation of Cyclodextrin Inclusion Complexes: A Review
Authors: Fuenmayor Carlos A. , Baron-Cangrejo Omar G. , Salgado-Rivera Paula A.
Published: June 2021

The use of natural carotenoids as food colorants is an important trend of innovation in the industry due to their low toxicity, their potential as bio-functional ingredients, and the increasing demand for natural and organic foods. Despite these benefits, their inclusion in food matrices presents multiple challenges related to their low stability and low water solubility. The present review covers the main concepts and background of carotenoid inclusion complex formation in cyclodextrins as a strategy for their stabilization, and subsequent inclusion in food products as color additives. The review includes the key aspects of the molecular and physicochemical properties of cyclodextrins as complexing agents, and a detailed review of the published evidence on complex formation with natural carotenoids from different sources in cyclodextrins, comparing complex formation methodologies, recovery, inclusion efficiency, and instrumental characterization techniques. Moreover, process flow diagrams (PFD), based on the most promising carotenoid-cyclodextrin complex formation methodologies reported in literature, are proposed, and discussed as a potential tool for their future scale-up. This review shows that the inclusion of carotenoids in complexes with cyclodextrins constitutes a promising technology for the stabilization of these pigments, with possible advantages in terms of their stability in food matrices.
Effect of Oxidative Stress on Physicochemical Quality of Taiwanese Seagrape (Caulerpa lentillifera) with the Application of Alternating Current Electric Field (ACEF) during Post-Harvest Storage
Authors: Sulaimana Andi Syahrullah , Chang Chao-Kai , Hou Chih-Yao , Yudhistira Bara , Punthi Fuangfah , Lung Chun-Ta , Cheng Kuan-Chen , Santoso Shella Permatasari , Hsieh Chang-Wei
Published: June 2021

This study aims to determine the physicochemical quality of seagrape (Caulerpa lentillifera) as a freshness label for products cultivated in different seasons. The applied post-harvest storage experiments compared between, within and without seawater that led to oxidative stress conditions. Water content, malondialdehyde (MDA) compound, total phenolic content (TPC), and chlorophyll content were observed at 0, 3, 6, and 9 days of storage. The storage without seawater showed sharper quality reductions by reaching 20–40% of water loss, 70–90% of MDA production, 15–25% of TPC reduction, and 40–60% of total chlorophyll degradation. The storage within seawater showed lower quality reductions due to the specific growth rates still reaching 5–10%. This study found that the greater the physicochemical quality, the slower the decomposition rates of the stored seagrape during storage. Therefore, the seagrapes’ obvious discoloration occurred earlier in winter, followed by summer and spring. Kinetics of chlorophyll degradation on seagrape in different seasons meet different order-reactions during storage. Furthermore, alternating current electric field (ACEF) treatment with 125 kV/m of intensity for 60 min can lower the spring seagrapes’ physicochemical quality by reaching 10–30% of inhibition, resulting in the shelf-life extension for up to 12 days of post-harvest storage.
Effect of 1.5 MeV Proton Irradiation on Superconductivity in FeSe0.5Te0.5 Thin Films
Authors: Ozaki Toshinori , Kashihara Takuya , Kakeya Itsuhiro , Ishigami Ryoya
Published: June 2021

Raising the critical current density Jc in magnetic fields is crucial to applications such as rotation machines, generators for wind turbines and magnet use in medical imaging machines. The increase in Jc has been achieved by introducing structural defects including precipitates and vacancies. Recently, a low-energy ion irradiation has been revisited as a practically feasible approach to create nanoscale defects, resulting in an increase in Jc in magnetic fields. In this paper, we report the effect of proton irradiation with 1.5 MeV on superconducting properties of iron–chalcogenide FeSe0.5Te0.5 films through the transport and magnetization measurements. The 1.5 MeV proton irradiation with 1 × 1016 p/cm2 yields the highest Jc increase, approximately 30% at 5–10 K and below 1 T without any reduction in Tc. These results indicate that 1.5 MeV proton irradiations could be a practical tool to enhance the performance of iron-based superconducting tapes under magnetic fields.
Multi-Scale Fused SAR Image Registration Based on Deep Forest
Authors: Mao Shasha , Yang Jinyuan , Gou Shuiping , Jiao Licheng , Xiong Tao , Xiong Lin
Published: June 2021

SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality of other problems, such as change detection of SAR images. Recently, for most DL-based SAR image registration methods, the problem of SAR image registration has been regarded as a binary classification problem with matching and non-matching categories to construct the training model, where a fixed scale is generally set to capture pair image blocks corresponding to key points to generate the training set, whereas it is known that image blocks with different scales contain different information, which affects the performance of registration. Moreover, the number of key points is not enough to generate a mass of class-balance training samples. Hence, we proposed a new method of SAR image registration that meanwhile utilizes the information of multiple scales to construct the matching models. Specifically, considering that the number of training samples is small, deep forest was employed to train multiple matching models. Moreover, a multi-scale fusion strategy is proposed to integrate the multiple predictions and obtain the best pair matching points between the reference image and the sensed image. Finally, experimental results on four datasets illustrate that the proposed method is better than the compared state-of-the-art methods, and the analyses for different scales also indicate that the fusion of multiple scales is more effective and more robust for SAR image registration than one single fixed scale.
Validation of Sentinel-3 SLSTR Land Surface Temperature Retrieved by the Operational Product and Comparison with Explicitly Emissivity-Dependent Algorithms
Authors: Pérez-Planells Lluís , Niclòs Raquel , Puchades Jesús , Coll César , Göttsche Frank-M. , Valiente José A. , Valor Enric , Galve Joan M.
Published: June 2021

Land surface temperature (LST) is an essential climate variable (ECV) for monitoring the Earth climate system. To ensure accurate retrieval from satellite data, it is important to validate satellite derived LSTs and ensure that they are within the required accuracy and precision thresholds. An emissivity-dependent split-window algorithm with viewing angle dependence and two dual-angle algorithms are proposed for the Sentinel-3 SLSTR sensor. Furthermore, these algorithms are validated together with the Sentinel-3 SLSTR operational LST product as well as several emissivity-dependent split-window algorithms with in-situ data from a rice paddy site. The LST retrieval algorithms were validated over three different land covers: flooded soil, bare soil, and full vegetation cover. Ground measurements were performed with a wide band thermal infrared radiometer at a permanent station. The coefficients of the proposed split-window algorithm were estimated using the Cloudless Land Atmosphere Radiosounding (CLAR) database: for the three surface types an overall systematic uncertainty (median) of −0.4 K and a precision (robust standard deviation) 1.1 K were obtained. For the Sentinel-3A SLSTR operational LST product, a systematic uncertainty of 1.3 K and a precision of 1.3 K were obtained. A first evaluation of the Sentinel-3B SLSTR operational LST product was also performed: systematic uncertainty was 1.5 K and precision 1.2 K. The results obtained over the three land covers found at the rice paddy site show that the emissivity-dependent split-window algorithms, i.e., the ones proposed here as well as previously proposed algorithms without angular dependence, provide more accurate and precise LSTs than the current version of the operational SLSTR product.
Caching-Aware Intelligent Handover Strategy for LEO Satellite Networks
Authors: Leng Tao , Xu Yuanyuan , Cui Gaofeng , Wang Weidong
Published: June 2021

Recently, many Low Earth Orbit (LEO) satellite networks are being implemented to provide seamless communication services for global users. Since the high mobility of LEO satellites, handover strategy has become one of the most important topics for LEO satellite systems. However, the limited on-board caching resource of satellites make it difficult to guarantee the handover performance. In this paper, we propose a multiple attributes decision handover strategy jointly considering three factors, which are caching capacity, remaining service time and the remaining idle channels of the satellites. Furthermore, a caching-aware intelligent handover strategy is given based on the deep reinforcement learning (DRL) to maximize the long-term benefits of the system. Compared with the traditional strategies, the proposed strategy reduces the handover failure rate by up to nearly 81% when the system caching occupancy reaches 90%, and it has a lower call blocking rate in high user arrival scenarios. Simulation results show that this strategy can effectively mitigate handover failure rate due to caching resource occupation, as well as flexibly allocate channel resources to reduce call blocking.
A Novel GIS-Based Approach for Automated Detection of Nearshore Sandbar Morphological Characteristics in Optical Satellite Imagery
Authors: Janušaitė Rasa , Jukna Laurynas , Jarmalavičius Darius , Pupienis Donatas , Žilinskas Gintautas
Published: June 2021

Satellite remote sensing is a valuable tool for coastal management, enabling the possibility to repeatedly observe nearshore sandbars. However, a lack of methodological approaches for sandbar detection prevents the wider use of satellite data in sandbar studies. In this paper, a novel fully automated approach to extract nearshore sandbars in high–medium-resolution satellite imagery using a GIS-based algorithm is proposed. The method is composed of a multi-step workflow providing a wide range of data with morphological nearshore characteristics, which include nearshore local relief, extracted sandbars, their crests and shoreline. The proposed processing chain involves a combination of spectral indices, ISODATA unsupervised classification, multi-scale Relative Bathymetric Position Index (RBPI), criteria-based selection operations, spatial statistics and filtering. The algorithm has been tested with 145 dates of PlanetScope and RapidEye imagery using a case study of the complex multiple sandbar system on the Curonian Spit coast, Baltic Sea. The comparison of results against 4 years of in situ bathymetric surveys shows a strong agreement between measured and derived sandbar crest positions (R2 = 0.999 and 0.997) with an average RMSE of 5.8 and 7 m for PlanetScope and RapidEye sensors, respectively. The accuracy of the proposed approach implies its feasibility to study inter-annual and seasonal sandbar behaviour and short-term changes related to high-impact events. Algorithm-provided outputs enable the possibility to evaluate a range of sandbar characteristics such as distance from shoreline, length, width, count or shape at a relevant spatiotemporal scale. The design of the method determines its compatibility with most sandbar morphologies and suitability to other sandy nearshores. Tests of the described technique with Sentinel-2 MSI and Landsat-8 OLI data show that it can be applied to publicly available medium resolution satellite imagery of other sensors.
Promoting or Inhibiting? The Impact of Enterprise Environmental Performance on Economic Performance: Evidence from China’s Large Iron and Steel Enterprises
Authors: Liu Rong , He Feng , Ren Jianyu
Published: June 2021

In recent years, the importance of corporate environmental responsibility has gradually become more prominent. This study combines the Slack-based Measurement (SBM) model with the “Super-efficiency” model to construct an environmental performance evaluation based on Data Envelopment Analysis (DEA), which is used to measure the environmental performance of China’s large iron and steel enterprises from 2009 to 2017. Moreover, the impact of environmental performance on enterprise economic performance is studied by regression analysis. The results show that that environmental performance and economic performance of large iron and steel enterprises in China are in an inverted U-shaped relationship. This encourages enterprises to be proactive in environmental management to maintain and enhance their competitive edge. Therefore, this research suggests that iron and steel enterprises should balance the relationship between environmental performance and economic performance, and adopt environmental protection behaviors to carry out production and operation, to maximize enterprise performance.
The Seismic Coat: A Sustainable and Integrated Approach to the Retrofit of Existing Buildings
Authors: Lombardo Grazia
Published: June 2021

Within the EU’s environmental policy, redevelopment strategies must be designed by adopting an integrated approach. This approach considers energy savings in buildings and seismic safety as driving forces of economic growth. The recent technological evolution experienced by the construction sector has aimed to define a new building element, the seismic coat. This term refers to a structural “skin” that improves both the seismic safety and the energy efficiency of existing buildings according to standards identified by current regulations. With this regard, research was started with the aim of defining a sustainable seismic coat consisting of dry-assembled panels of natural stone blocks that are prestressed with the use of steel reinforcements. The experimentation carried out on the panel so far has shown significant results as the test building improved in terms of energy savings, seismic safety, sustainability, functionality, and aesthetic quality. By taking a case study of a 1960s building as reference, this paper highlights the findings obtained by the feasibility study of the panel, with a special focus on its technical and construction aspects, and to facilitate its manufacture with the use of industrialized processes. Furthermore, this research provides the installation procedures for the panel components and all relevant details regarding the connections with the existing structure of the building.
Analysis and Assessment of the Building Life Cycle. Indicators and Tools for the Early Design Stage
Authors: Giordano Roberto , Gallina Federica , Quaglio Benedetta
Published: June 2021

Construction is a crucial sector in terms of worldwide environmental impacts. Building material production along with transport and demolition are no exception, because in the last decades, they have constantly increased their carbon dioxide (CO2) emissions. Actions and initiatives are therefore important to tackle the relationship between buildings and climate change. Particularly, it is necessary to develop Life Cycle Assessment (LCA) tools useful to calculate the environmental impact of buildings and to make them accessible to designers and stakeholders acting in the building sector. The article aims to contribute to the international debate about environmental assessment indicators for buildings and the simplified LCA based tools. The Embodied Energy (EE) and the Embodied Carbon (EC) have been investigated. The former, related to primary energy content; the latter, associated with the equivalent carbon dioxide emissions. EE and EC have been used as indicators for the development of a calculation tool named EURECA, for assessing the environmental impact of the building over its life cycle, as defined by the EN 15978:2011 standard. The Solar Decathlon Latin America and Caribbean’s house designed and built by an international academic team has been an opportunity to check the indicators and the tool’s effectiveness.
Determining Optimal Dry Port Location for Seaport Rijeka Using AHP Decision-Making Methodology
Authors: Božičević Josip , Lovrić Ivica , Bartulović Dajana , Steiner Sanja , Roso Violeta , Pašagić Škrinjar Jasmina
Published: June 2021

Seaport Rijeka is located and connected to the strategic EU TEN-T transport routes (Mediterranean and Baltic–Adriatic Corridor). Seaport Rijeka represents the shortest connection between Central and Central-Eastern Europe, and overseas destinations, by land and sea, and is in an excellent position to take advantage of its location. Being the largest and busiest seaport in Croatia, with constant increase in cargo traffic, especially container traffic, with inadequate and incomplete transport infrastructure that creates congestion, Seaport Rijeka will soon reach its capacity limits. One of the possible solutions that would satisfy the increasing demand and mitigate existing problems is establishing a dry port. Establishing a dry port serving Seaport Rijeka on the EU transport routes would greatly contribute to the strategic and operational plans of the EU and Croatia. The focus of this paper is to determine the optimal dry port location for Seaport Rijeka. The AHP methodology was used to determine the optimal dry port location of the Seaport Rijeka, by analyzing a large set of influential factors. The analysis was performed for three groups of possible dry port locations (close, medium distance and distant). Results suggest that optimal dry port locations for Seaport Rijeka are in Miklavlje, Velika Gorica and Vinkovci.
Governance of the Risks of Ridesharing in Southeast Asia: An In-Depth Analysis
Authors: Icasiano Charles David A. , Taeihagh Araz
Published: June 2021

Smart and sustainable cities rely on innovative technologies to cater to the needs of their constituents. One such need is for sustainable transport. Ridesharing is one of the ways through which sustainable transport can be deployed in smart cities. Ridesharing entered Southeast Asia in 2013, changing the nature of transportation in the region. As with other disruptive innovations, the introduction of ridesharing comes with risks particularly to employment relations, data privacy, road congestion, and distribution of liability. Regulators across various countries have applied different strategies to govern these risks. We present a case study of five Southeast Asian countries, namely Singapore, the Philippines, Vietnam, Indonesia, and Malaysia, and examine how government authorities in these countries have governed the risks of ridesharing. Smart cities can effectively provide the sustainable transport needs of their constituents by taking a consistent and unified regulatory approach with new technologies and cooperating with regulators across different jurisdictions. Stakeholders should also be involved in the regulatory process to increase the acceptance of new technologies for transport. Smart cities can also deploy regulatory sandboxes and take a proactive governance approach to encourage the development of these new technologies and at the same time control their undesirable risks.
Defining Landscapes, and Their Importance for National Identity—A Case Study from Slovenia
Authors: Penko Seidl Nadja , Šmid Hribar Mateja , Hudoklin Jelka , Pipan Tomaž , Golobič Mojca
Published: June 2021

Although each landscape has its own identity, only some of them are recognized as nationally important because of their cultural and natural values and their contribution to national identity. In Slovenia, these landscapes are listed in the national Spatial Development Strategy (adopted in 2004). However, this list was neither supported by implementation instruments nor integrated in any conservation or management policy documents and was poorly integrated into spatial plans. The aim of this research was to renew the methodology for identifying landscapes of national importance. The methods included in-depth interviews with experts, an online questionnaire, participatory workshops, and field visits. The questionnaire results showed that only eight landscapes from the original list of 62 were explicitly recognized as nationally important, which confirmed the hypothesis that the initial method was not transparent and that the criteria were biased. The proposed approach included the following criteria: (1) representativeness, (2) the quality of the landscape features, and (3) the cultural and scientific value. The methodology was accompanied with the list of landscape features and landscape types that are important for Slovenian national identity; recommendations for implementing the method on national, regional, and local levels; and the general guidelines for spatial planning and management of these landscapes.
Sustainable Allocation Model of Construction Workforce for Work Resumption during COVID-19
Authors: Wang Layin , Zhao Dong , Zhong Yanqi
Published: June 2021

COVID-19 has posed challenges for the construction industry, such as precise pandemic control, sustainable labor relations, and loss minimization. In response to these challenges, this study has developed a decision model that optimizes workforce allocation for projects to achieve sustainable workforce management, a tradeoff between pandemic prevention and work resumption. The priority of project resumption was evaluated using basic characteristics, the long- and short-term strategies, and the regional pandemic situation. The energy level of skilled workers was graded according to construction team size, skill level, and experience. Sustainable allocation principles and paths were explored to target four different types of work resumption plans. We used the cellular automaton (CA) technique to simulate the sustainable allocation model. We also analyzed the similarity function of energy levels and the time-cost function of allocation. The case study of the SGJ Construction demonstrates that this allocation model can accurately simulate work resumption and provide a sustainable allocation decisions and tools under pandemic. Also, it implies balanced interests and concerns between construction companies and the society for work resumption during COVID-19.
Prognostic Assessment of the Performance Parameters for the Industrial Diesel Engines Operated with Microalgae Oil
Authors: Lebedevas Sergejus , Raslavičius Laurencas
Published: June 2021

A study conducted on the high-speed diesel engine (bore/stroke: 79.5/95.5 mm; 66 kW) running with microalgae oil (MAO100) and diesel fuel (D100) showed that, based on Wibe parameters (m and φz), the difference in numerical values of combustion characteristics was ~10% and, in turn, resulted in close energy efficiency indicators (ηi) for both fuels and the possibility to enhance the NOx-smoke opacity trade-off. A comparative analysis by mathematical modeling of energy and traction characteristics for the universal multi-purpose diesel engine CAT 3512B HB-SC (1200 kW, 1800 min−1) confirmed the earlier assumption: at the regimes of external speed characteristics, the difference in Pme and ηi for MAO100 and D100 did not exceeded 0.7–2.0% and 2–4%, respectively. With the refinement and development of the interim concept, the model led to the prognostic evaluation of the suitability of MAO100 as fuel for the FPT Industrial Cursor 13 engine (353 kW, 6-cylinders, common-rail) family. For the selected value of the indicated efficiency ηi = 0.48–0.49, two different combinations of φz and m parameters (φz = 60–70 degCA, m = 0.5 and φz = 60 degCA, m = 1) may be practically realized to achieve the desirable level of maximum combustion pressure Pmax = 130–150 bar (at α~2.0). When switching from diesel to MAO100, it is expected that the ηi will drop by 2–3%, however, an existing reserve in Pmax that comprises 5–7% will open up room for further optimization of energy efficiency and emission indicators.
Assessment of the Results and Methodology of the Sustainable Development Index for Spanish Cities
Authors: García López Javier , Sisto Raffaele , Benayas Javier , de Juanes Álvaro , Lumbreras Julio , Mataix Carlos
Published: June 2021

In 2017, the United Nations adopted a global Sustainable Development Goals (SDG) indicator framework, calling on member countries to collect complementary national and regional indicators. Cities are crucial to channelling efforts towards sustainability through the use of these indicators. They provide an integrated approach to the city situation monitoring sustainability. However, more research is needed to understand how to adapt the goals, targets and indicators to specific municipal contexts. In 2020, the Spanish Sustainable Development Solutions Network launched the 2nd edition of the Spanish Cities Index. A set of 106 indicators allows for monitoring the implementation of the SDGs at the local level for Spanish cities. The objective is to perform a statistical audit to evaluate the consistency of the indicators and the impact of modelling assumptions on the result. The methodology used is an adaptation of the Handbook on Constructing Composite Indicator prepared by the European Commission. The indicator system is well balanced and covers the essential areas of the Sustainable Development Goals. The Spanish ranking is robust enough among the alternatives evaluated. However, some improvements are possible in the selection of indicators, e.g., removing redundant indicators and regional data. Finally, it is recommended to weigh goals based on municipal responsibility to adjust the results to the Spanish municipal context.
Active and Reactive Power Collaborative Optimization for Active Distribution Networks Considering Bi-Directional V2G Behavior
Authors: Xu Gang , Zhang Bingxu , Yang Le , Wang Yi
Published: June 2021

Due to their great potential for energy conservation and emission reduction, electric vehicles (EVs) have attracted the attention of governments around the world and become more popular. However, the high penetration rate of EVs has brought great challenges to the operation of the Active Distribution Network (ADN). On the other hand, EVs will be equipped with more intelligent chargers in the future, which supports the EVs’ high flexibility in both active and reactive power control. In this paper, a distributed optimization model of ADN is proposed by employing the collaborative active and reactive power control capability of EVs. Firstly, the preference of EV users is taken into account and the charging mode of EVs is divided into three categories: rated power charging, non-discharging, and flexible charging–discharging. Then, the reactive power compensation capacity of the plugged-in EV is deduced based on the circuit topology of the intelligent charger and the active–reactive power control model of the EV is established subsequently. Secondly, considering the operation constraints of ADN and the charging–discharging constraints of EVs over the operation planning horizon, the optimization objective of the model is proposed, which consists of two parts: “minimizing energy cost” and “improving voltage profile”. Finally, a distributed solution method is proposed based on the Alternating Direction Method of Multipliers (ADMM). The proposed model is implemented on a 33-bus ADN. The obtained results demonstrate that it is beneficial to achieve lower energy cost and increase the voltage profile of the ADN. In addition, the energy demand of EV batteries in their plugin intervals is met, and the demand preference of EV users is guaranteed.
Performance Analysis of the Perhydro-Dibenzyl-Toluene Dehydrogenation System—A Simulation Study
Authors: Asif Farea , Hamayun Muhammad Haris , Hussain Murid , Hussain Arif , Maafa Ibrahim M. , Park Young-Kwon
Published: June 2021

The depletion of conventional energy resources has drawn the world’s attention towards the use of alternate energy resources, which are not only efficient but sustainable as well. For this purpose, hydrogen is considered the fuel of the future. Liquid organic hydrogen carriers (LOHCs) have proved themselves as a potential option for the release and storage of hydrogen. The present study is aimed to analyze the performance of the perhydro-dibenzyl-toluene (PDBT) dehydrogenation system, for the release of hydrogen, under various operational conditions, i.e., temperature range of 270–320 °C, pressure range of 1–3 bar, and various platinum/palladium-based catalysts. For the operational system, the optimum operating conditions selected are 320 °C and 2 bar, and 2 wt. % Pt/Al2O3 as a suitable catalyst. The configuration is analyzed based on exergy analysis i.e., % exergy efficiency, and exergy destruction rate (kW), and two optimization strategies are developed using principles of process integration. Based on exergy analysis, strategy # 2, where the product’s heat is utilized to preheat the feed, and utilities consumption is minimized, is selected as the most suitable option for the dehydrogenation system. The process is simulated and optimized using Aspen HYSYS® V10.
Corporate Social Responsibility and Post Earnings Announcement Drift: Evidence from Korea
Authors: Choi Hyunjung , Ryu Haeyoung
Published: June 2021

To promote corporate social responsibility (CSR) in emerging markets such as South Korea to the level of developed nations, support from capital market investors is necessary. That is, CSR activities expand if capital market investors actively invest in companies that pursue such activities. This study thus analyzes the influence of the level of CSR activities on the post-earnings-announcement drift (PEAD) of publicly listed companies in South Korea, given the need to analyze the relationship between capital markets and CSR, which is part of sustainability management strategies. A sample of Korean firms listed on the Korean Stock Exchange from 2014 to 2018 was used for the regression analysis. The financial and stock return data were extracted from the KIS-Value database and CSR activities data were collected from the Korea Economic Justice Institute (KEJI) Index. The empirical analysis determined that more inactive companies in terms of CSR exhibited greater PEAD magnitude. Furthermore, high information asymmetry was found to further increase the magnitude of PEAD. These results indicate that investors cannot make swift investment decisions because of their low confidence in the information disclosed by inactive CSR companies; as a result, earnings information is slowly reflected in the stock prices of the period following disclosure. These findings suggest that CSR plays an important role in boosting investor confidence in corporate earnings information.
Towards a Conceptual Development of Industry 4.0, Servitisation, and Circular Economy: A Systematic Literature Review
Authors: Atif Sehrish , Ahmed Shehzad , Wasim Muhammad , Zeb Bassam , Pervez Zeeshan , Quinn Lorraine
Published: June 2021

Industry 4.0 (I4.0) technologies have been highlighted in recent literature as enablers of servitisation. Simultaneously, businesses are advised to implement a circular economy (CE) to bring new opportunities. However, it is pertinent to mention that little attention has been given to assess the role of I4.0 in adopting the CE and servitisation in a fully integrated manner. This research fills this gap by developing a conceptual framework through a systematic literature review of 139 studies investigating the relationship between the I4.0, CE, and servitisation. This study identifies the impact of these variables on a firm’s operational and financial performance (revenue stream, growth, and profitability). Our research findings advocate that adopting I4.0 technologies to the business and manufacturing model enables sustainability, energy and resource efficiency while enhancing performance and offering innovative products through smart services. Thus, firms must systematically adopt I4.0 technologies to support a CE model that creates value through servitisation. This study identifies the research gaps that are unexplored for practitioners and future researchers while providing insight into the role of I4.0 in implementing CE in the servitisation business model.
How Transboundary Learning Occurs: Case Study of the ASEAN Smart Cities Network (ASCN)
Authors: Tan Si-Ying , Taeihagh Araz , Sha Kritika
Published: June 2021

While policy study of smart city developments is gaining traction, it falls short of understanding and explaining knowledge transfers across national borders and cities. This article investigates how transboundary learning occurs through the initiation and development of a regional smart cities network: the ASEAN Smart Cities Network (ASCN). The article conducts an in-depth case study from data collected through key informant interviews and document analysis. Spearheaded by Singapore in 2017, ASCN is seen as a soft power extension for Singapore, a branding tool for ASEAN, and a symbiotic platform between the private sector and governments in the region. Most transboundary knowledge transfers within the ASCN are voluntary transfers of policy ideas. Effective branding, demand for knowledge, availability of alternative funding options, enthusiasm from the private actors, and heightened interest from other major economies are highlighted as facilitators of knowledge transfer. However, the complexity of governance structures, lack of political will and resources, limited policy capacity, and lack of explicit operational and regulatory mechanisms hinder transboundary learning. The article concludes that transboundary learning should go beyond exchanges of ideas and recommends promoting facilitators of knowledge transfer, building local policy capacity, encouraging collaborative policy transfer, and transiting from an information-sharing platform to tool/instrument-based transfer.
Reactivity Effect of Calcium Carbonate on the Formation of Carboaluminate Phases in Ground Granulated Blast Furnace Slag Blended Cements
Authors: Deboucha Walid , Sebaibi Nassim , El Mendili Yassine , Fabien Aurélie , Alengaram U. Johnson , Leklou Nordine , Hamdadou Mahmoud N , Bourdot Alexandra , Gascoin Stéphanie
Published: June 2021

The reactivity effect of calcium carbonate, present in ground oyster shells and limestone filler, on the formation of carboaluminate phases in ground granulated blast furnace slag blended cement pastes was reported in this paper. Six different binary and ternary blended cement pastes were prepared using ground granulated blast furnace slag, ground oyster shells and limestone filler with different replacement levels (from 5 to 35%). The carboaluminate formation was assessed and quantified directly using X-ray diffraction (XRD), and indirectly by following the aluminate phase’s reaction (heat flow) and consumed calcium carbonate using Isothermal Calorimetry (IC) and Thermogravimetric Analysis (TGA), respectively. Further, the overall reaction degree calculated based on TGA results and the compressive strength were determined to support the findings obtained. The results revealed that the calcium carbonate present in ground oyster shells is more reactive when compared to that present in limestone filler, where more formed hemi- and monocarboaluminate phases were observed in mixtures containing ground oyster shells. An enhancement in compressive strength and overall reaction degree was observed by adding 5% ground oyster shells as cement replacement.
Social Finance Investing for a Resilient Food Future
Authors: Stephens Phoebe
Published: June 2021

The converging climate, biodiversity, public health and nutrition emergencies highlight the need for more regenerative food systems. Despite the recognition that regenerative food systems enhance resilience, resource efficiency, and equity, they continue to be dwarfed by extractive industrial approaches. One factor that is holding back regenerative food systems is their lack of access to financial capital. In response to this financing gap, social financiers have turned their attention to regenerative food systems. To date, the scholarship exploring the role of social financing in supporting regenerative food systems is limited. Yet, this is an important area of study for understanding the tools that could support pathways towards greater social and ecological resilience in our food systems. This paper develops propositions on the links between social financing and regenerative food systems, with qualitative insights used as illustrations. Six semi-structured interviews were conducted with key stakeholders related to social finance and regenerative food systems in the United States. Additionally, this paper draws on information gathered through presentations from the Regenerative Food System Investment (RSFI) forum. The analysis identified five observations that enrich the social finance and food systems literatures: (1) those who get funded are not necessarily the best placed to advance the goals of regenerative agriculture; (2) tensions exist between the way that scholars and practitioners view social finance; (3) impact metrics are in flux and must be approached thoughtfully; (4) the middle of the food value chain remains severely underfunded; (5) early steps are being taken to maintain diversity that is core to the resilience of regenerative food systems. Topics for further research in this emerging area are identified in the conclusion.
Novel Approach for EEG Signal Analysis in a Multifractal Paradigm of Motions. Epileptic and Eclamptic Seizures as Scale Transitions
Authors: Irimiciuc Stefan Andrei , Zala Andrei , Dimitriu Dan , Himiniuc Loredana Maria , Agop Maricel , Toma Bogdan Florin , Gavril Laura Gabriela , Vasincu Decebal , Eva Lucian
Published: June 2021

Two different operational procedures are proposed for evaluating and predicting the onset of epileptic and eclamptic seizures. The first procedure analyzes the electrical activity of the brain (EEG signals) using nonlinear dynamic methods (the time variations of the standard deviation, the variance, the skewness and the kurtosis; the evolution in time of the spatial–temporal entropy; the variations of the Lyapunov coefficients, etc.). The second operational procedure reconstructs any type of EEG signal through harmonic mappings from the usual space to the hyperbolic one using the time homographic invariance of a multifractal-type Schrödinger equation in the framework of the scale relativity theory (i.e., in a multifractal paradigm of motions). More precisely, the explicit differential descriptions of the brain activity in the form of 2 × 2 matrices with real elements disclose, through the in-phase coherences at various scale resolutions (i.e., as scale transitions), the multitude of brain neuronal dynamics, especially sequences of epileptic and eclamptic seizures. These two operational procedures are not mutually exclusive, but rather become complementary, offering valuable information concerning epileptic and eclamptic seizures. In such context, the prediction of epileptic and eclamptic seizures becomes fundamental for patients not responding to medical treatment and also presenting an increased rate of seizure recurrence.
‘Floc and Sink’ Technique Removes Cyanobacteria and Microcystins from Tropical Reservoir Water
Authors: Arruda Renan Silva , Noyma Natália Pessoa , de Magalhães Leonardo , Mesquita Marcella Coelho Berjante , de Almeida Éryka Costa , Pinto Ernani , Lürling Miquel , Marinho Marcelo Manzi
Published: June 2021

Combining coagulants with ballast (natural soil or modified clay) to remove cyanobacteria from the water column is a promising tool to mitigate nuisance blooms. Nevertheless, the possible effects of this technique on different toxin-producing cyanobacteria species have not been thoroughly investigated. This laboratory study evaluated the potential effects of the “Floc and Sink” technique on releasing microcystins (MC) from the precipitated biomass. A combined treatment of polyaluminium chloride (PAC) with lanthanum modified bentonite (LMB) and/or local red soil (LRS) was applied to the bloom material (mainly Dolichospermum circinalis and Microcystis aeruginosa) of a tropical reservoir. Intra and extracellular MC and biomass removal were evaluated. PAC alone was not efficient to remove the biomass, while PAC + LMB + LRS was the most efficient and removed 4.3–7.5 times more biomass than other treatments. Intracellular MC concentrations ranged between 12 and 2.180 µg L−1 independent from the biomass. PAC treatment increased extracellular MC concentrations from 3.5 to 6 times. However, when combined with ballast, extracellular MC was up to 4.2 times lower in the top of the test tubes. Nevertheless, PAC + LRS and PAC + LMB + LRS treatments showed extracellular MC concentration eight times higher than controls in the bottom. Our results showed that Floc and Sink appears to be more promising in removing cyanobacteria and extracellular MC from the water column than a sole coagulant (PAC).
Cytomegalovirus Infection and Inflammation in Developing Brain
Authors: Krstanović Fran , Britt William J. , Jonjić Stipan , Brizić Ilija
Published: June 2021

Human cytomegalovirus (HCMV) is a highly prevalent herpesvirus that can cause severe disease in immunocompromised individuals and immunologically immature fetuses and newborns. Most infected newborns are able to resolve the infection without developing sequelae. However, in severe cases, congenital HCMV infection can result in life-threatening pathologies and permanent damage of organ systems that possess a low regenerative capacity. Despite the severity of the problem, HCMV infection of the central nervous system (CNS) remains inadequately characterized to date. Cytomegaloviruses (CMVs) show strict species specificity, limiting the use of HCMV in experimental animals. Infection following intraperitoneal administration of mouse cytomegalovirus (MCMV) into newborn mice efficiently recapitulates many aspects of congenital HCMV infection in CNS. Upon entering the CNS, CMV targets all resident brain cells, consequently leading to the development of widespread histopathology and inflammation. Effector functions from both resident cells and infiltrating immune cells efficiently resolve acute MCMV infection in the CNS. However, host-mediated inflammatory factors can also mediate the development of immunopathologies during CMV infection of the brain. Here, we provide an overview of the cytomegalovirus infection in the brain, local immune response to infection, and mechanisms leading to CNS sequelae.
Detection of Rift Valley Fever Virus RNA in Formalin-Fixed Mosquitoes by In Situ Hybridization (RNAscope®)
Authors: Lumley Sarah , Hunter Laura , Emery Kirsty , Hewson Roger , Fooks Anthony R. , Horton Daniel L. , Johnson Nicholas
Published: June 2021

Rift Valley fever virus (RVFV) causes a zoonotic mosquito-borne haemorrhagic disease that emerges to produce rapid large-scale outbreaks in livestock within sub-Saharan Africa. A range of mosquito species in Africa have been shown to transmit RVFV, and recent studies have assessed whether temperate mosquito species are also capable of transmission. In order to support vector competence studies, the ability to visualize virus localization in mosquito cells and tissue would enhance the understanding of the infection process within the mosquito body. Here, the application of in situ hybridization utilizing RNAscope® to detect RVFV infection within the mosquito species, Culex pipiens, derived from the United Kingdom was demonstrated. Extensive RVFV replication was detected in many tissues of the mosquito with the notable exception of the interior of ovarian follicles.
Comparative Study of SARS-CoV-2, SARS-CoV-1, MERS-CoV, HCoV-229E and Influenza Host Gene Expression in Asthma: Importance of Sex, Disease Severity, and Epithelial Heterogeneity
Authors: Coden Mackenzie E. , Loffredo Lucas F. , Abdala-Valencia Hiam , Berdnikovs Sergejs
Published: June 2021

Epithelial characteristics underlying the differential susceptibility of chronic asthma to SARS-CoV-2 (COVID-19) and other viral infections are currently unclear. By revisiting transcriptomic data from patients with Th2 low versus Th2 high asthma, as well as mild, moderate, and severe asthmatics, we characterized the changes in expression of human coronavirus and influenza viral entry genes relative to sex, airway location, and disease endotype. We found sexual dimorphism in the expression of SARS-CoV-2-related genes ACE2, TMPRSS2, TMPRSS4, and SLC6A19. ACE2 receptor downregulation occurred specifically in females in Th2 high asthma, while proteases broadly assisting coronavirus and influenza viral entry, TMPRSS2, and TMPRSS4, were highly upregulated in both sexes. Overall, changes in SARS-CoV-2-related gene expression were specific to the Th2 high molecular endotype of asthma and different by asthma severity and airway location. The downregulation of ACE2 (COVID-19, SARS) and ANPEP (HCoV-229E) viral receptors wascorrelated with loss of club and ciliated cells in Th2 high asthma. Meanwhile, the increase in DPP4 (MERS-CoV), ST3GAL4, and ST6GAL1 (influenza) was associated with increased goblet and basal activated cells. Overall, this study elucidates sex, airway location, disease endotype, and changes in epithelial heterogeneity as potential factors underlying asthmatic susceptibility, or lack thereof, to SARS-CoV-2.
Molecular Investigation of Canine Parvovirus-2 (CPV-2) Outbreak in Nevis Island: Analysis of the Nearly Complete Genomes of CPV-2 Strains from the Caribbean Region
Authors: Gainor Kerry , Bowen April , Bolfa Pompei , Peda Andrea , Malik Yashpal S. , Ghosh Souvik
Published: June 2021

To date, there is a dearth of information on canine parvovirus-2 (CPV-2) from the Caribbean region. During August–October 2020, the veterinary clinic on the Caribbean island of Nevis reported 64 household dogs with CPV-2-like clinical signs (hemorrhagic/non-hemorrhagic diarrhea and vomiting), of which 27 animals died. Rectal swabs/fecal samples were obtained from 43 dogs. A total of 39 of the 43 dogs tested positive for CPV-2 antigen and/or DNA, while 4 samples, negative for CPV-2 antigen, were not available for PCR. Among the 21 untested dogs, 15 had CPV-2 positive littermates. Analysis of the complete VP2 sequences of 32 strains identified new CPV-2a (CPV-2a with Ser297Ala in VP2) as the predominant CPV-2 on Nevis Island. Two nonsynonymous mutations, one rare (Asp373Asn) and the other uncommon (Ala262Thr), were observed in a few VP2 sequences. It was intriguing that new CPV-2a was associated with an outbreak of gastroenteritis on Nevis while found at low frequencies in sporadic cases of diarrhea on the neighboring island of St. Kitts. The nearly complete CPV-2 genomes (4 CPV-2 strains from St. Kitts and Nevis (SKN)) were reported for the first time from the Caribbean region. Eleven substitutions were found among the SKN genomes, which included nine synonymous substitutions, five of which have been rarely reported, and the two nonsynonymous substitutions. Phylogenetically, the SKN CPV-2 sequences formed a distinct cluster, with CPV-2b/USA/1998 strains constituting the nearest cluster. Our findings suggested that new CPV-2a is endemic in the region, with the potential to cause severe outbreaks, warranting further studies across the Caribbean Islands. Analysis of the SKN CPV-2 genomes corroborated the hypothesis that recurrent parallel evolution and reversion might play important roles in the evolution of CPV-2.