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A novel series of bis- (Abdelhamid et al., 2017, Banerjee et al., 2018, Bharanidharan et al., 2022)thiadiazoles was synthesized from the reaction of precursor dimethyl 2,2′-(1,2-diphenylethane-1,2-diylidene)-bis(hydrazine-1-carbodithioate) and hydrazonyl chlorides in ethanol under ultrasonic irradiation. Spectral tools (IR. NMR, MS, elemental analyses, molecular dynamic simulation, DFT and LUMO and HOMO) were used to elucidate the structure of the isolated products. Molecular docking for the precursor, 3 and ligands 6a-i to two COVID-19 important proteins M$^{pro}$ and RdRp was compared with two approved drugs, Remdesivir and Ivermectin. The binding affinity varied between the ligands and the drugs. The highest recorded binding affinity of 6c with M$^{pro}$ was (−9.2 kcal/mol), followed by 6b and 6a, (−8.9 and −8.5 kcal/mol), respectively. The lowest recorded binding affinity was (−7.0 kcal/mol) for 6 g. In comparison, the approved drugs showed binding affinity (−7.4 and −7.7 kcal/mol), for Remdesivir and Ivermectin, respectively, which are within the range of the binding affinity of our ligands. The binding affinity of the approved drug Ivermectin against RdRp recoded the highest (−8.6 kcal/mol), followed by 6a, 6 h, and 6i are the same have (−8.2 kcal/mol). The lowest reading was found for compound 3 ligand (−6.3 kcal/mol). On the other side, the amino acids also differed between the compounds studied in this project for both the viral proteins. The ligand 6a forms three H-bonds with Thr 319(A), Sr 255(A) and Arg 457(A), whereas Ivermectin forms three H-bonds with His 41(A), Gly143(A) and Gln 18(A) for viral M$^{pro}$. The RdRp amino acids residues could be divided into four groups based on the amino acids that interact with hydrogen or hydrophobic interactions. The first group contained 6d, 6b, 6 g, and Remdesivir with 1–4 hydrogen bonds and hydrophobic interactions 1 to 10. Group 2 is 6a and 6f exhibited 1 and 3 hydrogen bonds and 15 and 14 hydrophobic interactions. Group 3 has 6e and Ivermectin shows 4 and 3 hydrogen bonds, respectively and 11 hydrophobic interactions for both compounds. The last group contains ligands 3, 6c, 6 h, and 6i gave 1–3 hydrogen bonds and 6c and 3 recorded the highest number of hydrophobic interactions, 14 for both 6c and 6 h. Pro Tox-II estimated compounds’ activities as Hepatoxic, Carcinogenic and Mutagenic, revealing that 6f-h were inactive in all five similar to that found with Remdesivir and Ivermectin. The drug-likeness prediction was carried out by studying physicochemical properties, lipophilicity, size, polarity, insolubility, unsaturation, and flexibility. Generally, some properties of the ligands were comparable to that of the standards used in this study, Remdesivir and Ivermectin.

Abstract Urban resilience (UR) is a central concept in enabling cities to be prepared for disasters and unexpected events caused by climate change-induced extreme weather conditions. The field is dedicated to developing solutions and models in this regard. In particular, the emergence of the ongoing COVID-19 pandemic has threatened certain industries and has compelled cities to re-evaluate and address resilience. This study aims to provide an overview of the subject by examining the academic and industrial literature on UR, categorizing publications, analyzing major trends, as well as highlighting gaps and providing future research recommendations. In this context, 146 journal articles and 9 industrial reports published up to the end of 2020 were examined. Journal articles have been examined under three headings as literature reviews, conceptual models, and analytical models. The approaches and analytical techniques discussed in the field are also examined in the review. These examinations and classifications constitute the originality of the study. Examination of industrial reports has provided us with the opportunity to understand the practices discussed and suggested by practitioners in this field. The results show that the most commonly arising issue in UR is climate change. Finally, the research gaps and future suggestions are presented.

Electricity consumption has been affected due to worldwide lockdown policies against COVID-19. Many countries have pointed out that electricity supply security during the epidemic is critical to ensuring people’s livelihood. Accurate prediction of electricity demand would act a more important role in ensuring energy security for all the countries. Although there have been many studies on electricity forecasting, they did not consider the pandemic, and many works only considered the prediction accuracy and ignored the stability. Driven by the above reasons, it is necessary to develop an electricity consumption prediction model that can be well applied in the pandemic. In this work, a hybrid prediction system is proposed with data processing, modelling, and optimization. An improved complete ensemble empirical mode decomposition with adaptive noise is used for data preprocessing, which overcomes the shortcomings of the original method; a multi-objective optimizer is adopted for ensuring the accuracy and stability; support vector machine is used as the prediction model. Taking daily electricity demand of US as an example, the results prove that the proposed hybrid models are superior to benchmark models in both prediction accuracy and stability. Moreover, selection of input parameters is discussed, and the results indicate that the model considering the daily infections has the highest prediction accuracy and stability, and it is proved that the proposed model has great potential in real-world applications. Highlights • A hybrid model is developed for predicting daily electricity demand during COVID-19. • The accuracy and stability of the new model are higher than those of benchmark models. • The proposed model also performs well in multi-step prediction. • The model that only considers daily infections has the best prediction performance.

The issue of food waste is a problem that affects the whole society. Food is wasted throughout the food chain. Households are great contributors to the problem. A detailed analysis of municipal waste from the production of 900 Czech households was performed. These datasets allowed for comprehensive insides. The analyses of mixed municipal waste were performed every quarter of the year (summer 2019–spring 2020). The method of municipal waste analysis was supplemented by questionnaire survey among households and 10 in-depth interviews aimed at identifying the main causes of waste. One of the periods in which food waste was measured was affected by the global COVID-19 pandemic. This finding has also been confirmed by findings from other countries. The climatic crisis multiplied by the impacts of COVID-19 has highlighted the need to actively address the issue of food waste.

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, alcohol consumption increased markedly. Nearly one in four adults reported drinking more alcohol to cope with stress. Chronic alcohol abuse is now recognized as a factor complicating the course of acute respiratory distress syndrome and increasing mortality. To investigate the mechanisms behind this interaction, a combined acute respiratory distress syndrome and chronic alcohol abuse mouse model was developed by intratracheally instilling the subunit 1 (S1) of SARS-CoV-2 spike protein (S1SP) in K18-human angiotensin-converting enzyme 2 (ACE2) transgenic mice that express the human ACE2 receptor for SARS-CoV-2 and were kept on an ethanol diet. Seventy-two hours after S1SP instillation, mice on an ethanol diet showed a strong decrease in body weight, a dramatic increase in white blood cell content of bronchoalveolar lavage fluid, and an augmented cytokine storm, compared with S1SP-treated mice on a control diet. Histologic examination of lung tissue showed abnormal recruitment of immune cells in the alveolar space, abnormal parenchymal architecture, and worsening Ashcroft score in S1SP- and alcohol-treated animals. Along with the activation of proinflammatory biomarkers [NF-κB, STAT3, NLR family pyrin domain-containing protein 3 (NLRP3) inflammasome], lung tissue homogenates from mice on an alcohol diet showed overexpression of ACE2 compared with mice on a control diet. This model could be useful for the development of therapeutic approaches against alcohol-exacerbated coronavirus disease 2019.

Abstract Electric vehicle development is critical to achieve the sustainable goals, while the hit of COVID-19 strikes the market and brings challenges to the whole industry. China, among one of the earliest regions affected by COVID-19 and takes a great part in the global electric vehicle market, is attracting growing attention on its post-pandemic trends in the electric vehicle industry. This paper provides a comprehensive analysis of COVID-19 impacts on China's electric vehicle industry from both the demand side and the supply side. Both challenges and opportunities for China's electric vehicle development are revealed with emerging trend analysis. It is found that the COVID-19 outbreak has reduced electric vehicle sales in the short-term, but may also stimulate future electric vehicle demand especially for large electric cars with better performance. Meanwhile, travel restrictions caused by COVID-19 have interrupted electric vehicle material supplies that relying on imports, accelerating domestic substitute exploitation and inventory improvement for critical parts. Additionally, massive lockdowns for controlling COVID-19 have disrupted productions and operations, which tends to expel small brands out of the competitive market, concentrating China's electric vehicle industry to the leading brands. Finally, the social distancing trend after pandemic is bringing challenges to traditional EV distribution channels with dealers, pushing automakers to develop innovative online selling channels. These impacts are likely to lead to a reformation of China's electric vehicle industry towards a more advanced and reliable future.

No abstract available.

In times of uncertainty, new ideas, concepts and business solutions are born. The crisis caused by the Coronavirus disease 2019 (COVID-19) pandemic has had a wide impact on the tourism sector, from small-scale to multinational companies. Based on an explanatory case study of a tourist guides venture, the paper seeks evidence on how conditions such as social capital, the use of information technologies and the application of new organizational solutions can support entrepreneurship at times of crisis. The paper provides insight into the functioning of Guides without Borders—a venture bringing together over 50 tourist guides. The research is based on the case study methodology supported by semi-structured interviews and questionnaires. Findings indicate that despite harsh times, social ties, trust and technology can leverage an organization. The research also confirms that the application of an innovative approach to the organizational structure and processes (in accordance with the concept of teal organizations) is beneficial at times of crisis. Thus, the organizational approach adapted by the studied organization can serve as an example for future tourist guides and other professionals’ undertakings in uncertain times.

Currently, one in eight people live in neighborhoods with social inequality and around one billion people live in precarious conditions. The significance of where and how to live and in what physical, spatial, social, and urban conditions has become very important for millions of families around the world because of mandatory confinement due to the COVID-19 pandemic. Today, many homes in poor condition do not meet the basic requirements for residential environments in the current framework. Theoretical models for the urban evaluation of this phenomenon are a necessary starting point for urban renewal and sustainability. This study aims to generate a model for evaluating homes in a situation of social inequality (hereinafter Vrs) with indicators on physical, spatial, environmental, and social aspects. The methodology used in this study evaluates housing, taking into consideration habitability factors (physical, spatial, and constructive characteristics), as well as the qualitative characteristics assessing the satisfaction of users with the adaptation and transformation of the housing and its surroundings. The application of 51 indicators distributed in four previous parameters was established for this study. This quantification identifies the deficiencies of the dwellings and sets the guidelines for the establishment of future rehabilitation policies for adapting the dwellings to current and emergency scenarios. The innovation of this study is the construction of a tool for social research surveys designed to include individual indicators from the dwellings’ users, to provide a more dependable representation of the problems found in Vrs. The results of this research identified the deficiencies of precarious housing and could be used for applying effective proposals for improvement of habitability and their surroundings in the future. Furthermore, the results showed that when all the indicators were considered, the level of lag reached would be similar to that of a real housing situation, further confirming the suitability of the methodology applied in this investigation.

After consulting the relevant scientific literature and the reports of international institutions, the authors trace the environmental and social causes behind the spread of the SARS-CoV-2 pandemic, describing its impacts and suggesting some routes to a sustainable recovery. The starting point is the finding that the world is experiencing a sustainability crisis. Sustainability can be said to “always rings twice”: the first “ring” is an alert of its absence, which probably determined the explosion of the pandemic crisis (and its consequences and impacts), while the second “ring” is presenting an opportunity to change the current development model. To fully understand the pandemic’s origins, the links between the scientific knowledge on the origin of the virus and the holistic visions for sustainable development must be assessed, to focus on the causes (and not on the symptoms) of the pandemic, which the scientific community had widely predicted. The loss of biodiversity, population trends and the direct and indirect consequences of climate change have deeply affected the balance of ecosystems and attacked the natural “buffer” that separated humans from animal species that are reservoir hosts of viruses. These causes found fertile ground in the great human mobility of 21st century economic globalisation and in the environmental and social conditions in some of the world’s heavily industrialised areas. This set of conditions, combined with a general short-circuiting of border controls between countries, allowed the epidemic to evolve into a pandemic and become more lethal in the process. What we are currently experiencing is unfortunately the mother of all the negative externalities associated with a social and economic development model that has become unsustainable. The last part of the article outlines the main elements for a sustainable recovery that is coherent with the majority of the 17 Sustainable Development Goals (SDGs) of the United Nations. They are grouped in strategic directions and many are now widely shared.