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Literature on integrated coastal zonal management (ICZM) for coastal sustainability from a legal perspective provided significant measures. Recently, sustainable development goals (SDGs) have become a focus in ICZM literature, which establishes coastal goals and connects these goals with other goals. Although integrating coastal goals into ICZM under international law challenges the existing models presented in the literature, the comprehensive literature review (CLR) methodology is appropriate for observing the current literature and provides a way-forward for coastal goals. Therefore, through this research, a CLR on ICZM literature is conducted to observe how far SDGs are integrated for coastal sustainability. The CLR identified that coastal city governance is a pertinent part of ICZM, and the coastal goals are devised in the form of environmental goals of SDG - 14 (life below water). This CLR examines the anthropogenic connections of waste, sanitation, and emissions management and urban planning with coastal ecosystems under the ICZM system. For such purposes, governance tools of science-policy integration under international law and policy for sustainable development are utilized to form an obligatory framework. The CLR further provided coordination, adaptivity, monitoring, and capacity-building tools, which were utilized thoroughly throughout the literature and can be incorporated with the SDGs in a multilevel governance framework of ICZM. Throughout the study, international law formulating SDGs is pivotal to be transplanted successfully into the ICZM governance processes. [ABSTRACT FROM AUTHOR]

Social distancing is an important non-pharmaceutical intervention tool (NPIs) to prevent the spread of COVID-19. However, it also created negative impacts of economic activities. Understanding the emotions and public opinions about social distancing are important for the future policy making of COVID-19 mitigation and the assessment of public health impacts. This study collected 77,627 number of Twitter messages (tweets) between February 1, 2020 and April 30, 2020 from five English-speaking countries (United States, the United Kingdom, India, Canada, and Australia) using the social distancing keywords. We adopted a multi-module hybrid convolutional neural network model sentiment analysis on social distancing related tweets with 85.95% accuracy. This paper conducts a sentiment analysis of tweets from the public on social distancing measures in five countries. Our findings show similar sentiments in tweets from these five countries, which is more positives than negatives about social distancing measures in the public. Additionally, when the daily number of new cases changes, public sentiment fluctuates with it. We believe that social distancing is effective in preventing the spread of coronavirus. [ABSTRACT FROM AUTHOR]

Sustainable Development Goal 14 (SDG 14) was launched in 2015 to provide an overarching governance framework for long-term sustainable ocean development. This research paper analyzes the extent to which global and regional organizations are coherent with SDG 14 under the existing frameworks of international law. This research paper further assessed Multilateral Environmental Agreements (MEAs) under the framework of the United Nations Convention on Law of the Sea (UNCLOS) and International Environmental Law (IEL) in the context of joint governance of ocean and fisheries as Large Marine Ecosystems (LMEs). According to its objectives, the research indicated that coherence across governing instruments should be increased for the governance of LMEs, leading to the development of a mechanism representing consistency with SDG 14. As a result, a mechanism that demonstrates the coherence of SDG 14 with Agenda—2030 is made, which indicates that, in order to govern fisheries and oceans as LMEs jointly, coherence among governing instruments must be increased. The conclusion followed SDG 14's recommended actions, which are sly in line with UNCLOS and IEL, although the current initiatives of the regional organizations should be updated. [ABSTRACT FROM AUTHOR]

Electric vehicles have become the first choice for products delivery in logistics, due to their environmental friendliness and low cost compared to the traditional fuel vehicles. This paper deals with an electric capacitated vehicle routing problem with variable energy consumption rate (ECVRP), which aims to minimize the total cost including vehicle fixed cost, traveled distance cost and energy cost. First, a mixed integer linear programming model is constructed based on the fact that the energy consumption is affected by the vehicle load. Second, a hybrid Max-Min Ant System (HMMAS) algorithm is proposed to solve this problem. Three neighborhood structures are introduced and executed in a Variable Neighborhood Descent (VND) algorithm to improve the current solution. In addition, an effective charging station adjustment strategy is adopted to further improve the solution obtained by the local search process. Finally, some experiments have been conducted on public instances, and the results demonstrate the effectiveness and stability of the algorithm. [ABSTRACT FROM AUTHOR]

Isostructural, pillar-layered metal–organic frameworks (MOFs) will provide an ideal structural model for studying the influence of functional groups on fluorescence sensing. Here, we study dipyridyl linkers to tune the detection of Fe3+ ions. Three isostructural analogues of pillar-layered frameworks were used as fluorescence sensors to quickly, sensitively, and selectively detect Fe3+ ions with good repeatability. Importantly, an increase in length of the pillars and accessible volumes may lead to an increase in the fluorescence quenching constants (Ksv(PL-1) = 1.58 × 104 M−1) < (Ksv(PL-2) = 1.72 × 104 M−1) < (Ksv(PL-3) = 2.47 × 104 M−1), which may be related to different dipyridyl ligands acting as pillars. [ABSTRACT FROM AUTHOR]