Natural resources and financial development: Role of corporate social responsibility on green economic growth in Vietnam

In this study, the relationship among natural resources, financial development, and the role of corporate social responsibility (CSR) on green economic growth in Vietnam has been analyzed. We have applied the Pooled Mean Group-Autoregressive Distributed Lag (PMG-ARDL) model to assess this relationship for the period of 1990-2018. The Johansen-Fisher panel cointegration and Kao tests show that the variables are cointegrated. Accordingly, CSR, the PMG-ARDL findings, financial development, and natural resources development all have a long-term positive association but a short-term negative relationship with green economic growth. If efficient fiscal and financial management measures are not implemented, the panel nations' public debt sustainability will be jeopardized due to CSR's overreliance on natural resources rents (NRR). Natural resources may have a detrimental impact on financial growth if laws are not implemented. CSR regulations in Vietnam may reduce greenhouse gases (GHG) emissions and promote green economic growth. If this criterion is met, NRR-related improvements in financial development may be sustained, and relevant policy recommendations may be made.

A literature review on the impact of the COVID-19 pandemic on consumer behaviour: implications for consumer-centric logistics

PurposeThe COVID-19 pandemic has resulted in significant changes in consumer behaviour, which has had a cascading effect on consumer-centric logistics. As a result, this study conducts a focused literature review of pandemic-related consumer behaviour research to address two research questions: 1) what are the pandemic's direct effects on consumer consumption behaviour, with an emphasis on changes in their basic and psychological needs? and 2) what are the consequences of behavioural changes on consumer-centric logistics?Design/methodology/approachThe scientific procedure and rationales for systematic literature review (SPAR-4-SLR) protocol and the theory, context, characteristics and methodology (TCCM) framework were adopted as a guideline to map, refine, evaluate and synthesise the literature. A total of 53 research articles were identified for further analysis.FindingsUsing Maslow's hierarchy of human needs as a theoretical guide, this review synthesises the COVID-19 pandemic's effects on consumer behaviour into four categories: abnormal buying behaviour, changes in consumer preferences, digitalisation of shopping behaviour and technology-related behaviour. Furthermore, four consumer-centric logistics propositions are proposed based on the four aspects of consumer behavioural changes.Originality/valueThis study outlines the significant behavioural changes in consumers in the face of the COVID-19 pandemic and how these changes impact consumer-centric logistics, with implications for managing consumers' involvement in logistics and pointing out future research directions.

Revenge buying after the lockdown: Based on the SOR framework and TPB model

With the end of the pandemic and the lifting of the lockdown, the consumer market experienced revenge buying. The purpose of this study is to investigate the causes of revenge buying using the stimulus-organ-response (SOR) framework and the theory of planned behavior (TPB) model. Structural equation modeling was used to analyze data collected from 350 residents of Shanghai, China, after the city's lockdown was lifted. The findings imply that perceived scarcity, perceived susceptibility, and social influence regarding the lockdown can stimulate in-dividuals' anxiety, inducing behavioral intentions and ultimately leading to revenge buying consumer behavior. Theoretically, this study provides a novel explanation of revenge buying behavior. Additionally, conclusions offer ramifications for management and implementation strategies for dealing with revenge buying after sudden disasters.

Recent progress in microfluidic biosensors with different driving forces

Microfluidic biosensors integrating fluid control, target recognition, as well as signal transduction and output, have been widely used in the field of disease diagnosis, drug screening, food safety and environmental monitoring in the past two decades. As the central part and technical characteristics of microfluidic biosensors, the fluid control is not only associated with accuracy and convenience of the sensors, but also affects the material selection and working mode of the sensors. This review summarizes the fluid driving forces for microfluidic biosensors, including gravity, capillary force, centrifugal force, pressure, light, sound, electrical, and magnetic forces. Then, the recent advances in microfluidic biosensors for the detection of viruses, cells, nucleic acids, proteins and small molecules are discussed. Finally, we propose the current challenges and future perspectives of microfluidic biosensors. We hope this review can provide readers with a new perspective to understand the technical characteristics and application potential of microfluidic biosensors.Copyright © 2022 Elsevier B.V.

Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-scale Behavioral Interventions: A Case Study on COVID-19

During pandemics, effective interventions require monitoring the problem at different scales and understanding the various tradeoffs between efficacy, privacy, and economic burden. To address these challenges, we propose a framework where we perform Bayesian change-point analysis on aggregate behavior markers extracted from mobile sensing data collected during the COVID-19 pandemic. Results generated by 598 participants for up to four months reveal rich insights: We observe an increase in smartphone usage around February 10th, followed by an increase in email usage around February 27th and, finally, a large reduction in participant's mobility around March 13th. These behavior changes overlapped with important news events and government directives such as the naming of COVID-19, a spike in the number of reported cases in Europe, and the declaration of national emergency by President Trump. We also show that our detected change points align with changes in large scale external sources, including number of COVID-19 tweets, COVID-19 search traffic, and a large-scale foot traffic data collected by SafeGraph, providing further validation of our method. Our results show promise towards the feasibility of using mobile sensing to understand communities' responses to public health interventions. © 2022 Copyright held by the owner/author(s).

Genera of phytopathogenic fungi: GOPHY 4.

This paper is the fourth contribution in the Genera of Phytopathogenic Fungi (GOPHY) series. The series provides morphological descriptions and information about the pathology, distribution, hosts and disease symptoms, as well as DNA barcodes for the taxa covered. Moreover, 12 whole-genome sequences for the type or new species in the treated genera are provided. The fourth paper in the GOPHY series covers 19 genera of phytopathogenic fungi and their relatives, including Ascochyta, Cadophora, Celoporthe, Cercospora, Coleophoma, Cytospora, Dendrostoma, Didymella, Endothia, Heterophaeomoniella, Leptosphaerulina, Melampsora, Nigrospora, Pezicula, Phaeomoniella, Pseudocercospora, Pteridopassalora, Zymoseptoria, and one genus of oomycetes, Phytophthora. This study includes two new genera, 30 new species, five new combinations, and 43 typifications of older names. Taxonomic novelties: New genera: Heterophaeomoniella L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pteridopassalora C. Nakash. & Crous; New species: Ascochyta flava Qian Chen & L. Cai, Cadophora domestica L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora rotunda L. Mostert, R. van der Merwe, Halleen & Gramaje, Cadophora vinacea J.R. Úrbez-Torres, D.T. O'Gorman & Gramaje, Cadophora vivarii L. Mostert, Havenga, Halleen & Gramaje, Celoporthe foliorum H. Suzuki, Marinc. & M.J. Wingf., Cercospora alyssopsidis M. Bakhshi, Zare & Crous, Dendrostoma elaeocarpi C.M. Tian & Q. Yang, Didymella chlamydospora Qian Chen & L. Cai, Didymella gei Qian Chen & L. Cai, Didymella ligulariae Qian Chen & L. Cai, Didymella qilianensis Qian Chen & L. Cai, Didymella uniseptata Qian Chen & L. Cai, Endothia cerciana W. Wang. & S.F. Chen, Leptosphaerulina miscanthi Qian Chen & L. Cai, Nigrospora covidalis M. Raza, Qian Chen & L. Cai, Nigrospora globospora M. Raza, Qian Chen & L. Cai, Nigrospora philosophiae-doctoris M. Raza, Qian Chen & L. Cai, Phytophthora transitoria I. Milenkovic, T. Májek & T. Jung, Phytophthora panamensis T. Jung, Y. Balci, K. Broders & I. Milenkovic, Phytophthora variabilis T. Jung, M. Horta Jung & I. Milenkovic, Pseudocercospora delonicicola C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora farfugii C. Nakash., I. Araki, & Ai Ito, Pseudocercospora hardenbergiae Crous & C. Nakash., Pseudocercospora kenyirana C. Nakash., L. Suhaizan & I. Nurul Faziha, Pseudocercospora perrottetiae Crous, C. Nakash. & C.Y. Chen, Pseudocercospora platyceriicola C. Nakash., Y. Hatt, L. Suhaizan & I. Nurul Faziha, Pseudocercospora stemonicola C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora terengganuensis C. Nakash., Y. Hatt., L. Suhaizan & I. Nurul Faziha, Pseudocercospora xenopunicae Crous & C. Nakash.; New combinations: Heterophaeomoniella pinifoliorum (Hyang B. Lee et al.) L. Mostert, C.F.J. Spies, Halleen & Gramaje, Pseudocercospora pruni-grayanae (Sawada) C. Nakash. & Motohashi., Pseudocercospora togashiana (K. Ito & Tak. Kobay.) C. Nakash. & Tak. Kobay., Pteridopassalora nephrolepidicola (Crous & R.G. Shivas) C. Nakash. & Crous, Pteridopassalora lygodii (Goh & W.H. Hsieh) C. Nakash. & Crous; Typification: Epitypification: Botrytis infestans Mont., Cercospora abeliae Katsuki, Cercospora ceratoniae Pat. & Trab., Cercospora cladrastidis Jacz., Cercospora cryptomeriicola Sawada, Cercospora dalbergiae S.H. Sun, Cercospora ebulicola W. Yamam., Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora ixorana J.M. Yen & Lim, Cercospora liquidambaricola J.M. Yen, Cercospora pancratii Ellis & Everh., Cercospora pini-densiflorae Hori & Nambu, Cercospora profusa Syd. & P. Syd., Cercospora pyracanthae Katsuki, Cercospora horiana Togashi & Katsuki, Cercospora tabernaemontanae Syd. & P. Syd., Cercospora trinidadensis F. Stevens & Solheim, Melampsora laricis-urbanianae Tak. Matsumoto, Melampsora salicis-cupularis Wang, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora angiopteridis Goh & W.H. Hsieh, Pseudocercospora basitruncata Crous, Pseudocercospora boehmeriigena U. Braun, Pseudocercospora coprosmae U. Braun & C.F. Hill, Pseudocercospora cratevicola C. Nakash. & U. Braun, Pseudocercospora cymbidiicola U. Braun & C.F. Hill, Pseudocercospora dodonaeae Boesew., Pseudocercospora euphorbiacearum U. Braun, Pseudocercospora lygodii Goh & W.H. Hsieh, Pseudocercospora metrosideri U. Braun, Pseudocercospora paraexosporioides C. Nakash. & U. Braun, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous, Septogloeum punctatum Wakef.; Neotypification: Cercospora aleuritis I. Miyake; Lectotypification: Cercospora dalbergiae S.H. Sun, Cercospora formosana W. Yamam., Cercospora fukuii W. Yamam., Cercospora glochidionis Sawada, Cercospora profusa Syd. & P. Syd., Melampsora laricis-urbanianae Tak. Matsumoto, Phaeoisariopsis pruni-grayanae Sawada, Pseudocercospora symploci Katsuki & Tak. Kobay. ex U. Braun & Crous. Citation: Chen Q, Bakhshi M, Balci Y, Broders KD, Cheewangkoon R, Chen SF, Fan XL, Gramaje D, Halleen F, Horta Jung M, Jiang N, Jung T, Májek T, Marincowitz S, Milenkovic T, Mostert L, Nakashima C, Nurul Faziha I, Pan M, Raza M, Scanu B, Spies CFJ, Suhaizan L, Suzuki H, Tian CM, Tomsovský M, Úrbez-Torres JR, Wang W, Wingfield BD, Wingfield MJ, Yang Q, Yang X, Zare R, Zhao P, Groenewald JZ, Cai L, Crous PW (2022). Genera of phytopathogenic fungi: GOPHY 4. Studies in Mycology 101: 417-564. doi: 10.3114/sim.2022.101.06.

Deep Molecular Representation Learning via Fusing Physical and Chemical Information

Molecular representation learning is the first yet vital step in combining deep learning and molecular science. To push the boundaries of molecular representation learning, we present PhysChem, a novel neural architecture that learns molecular representations via fusing physical and chemical information of molecules. PhysChem is composed of a physicist network (PhysNet) and a chemist network (ChemNet). PhysNet is a neural physical engine that learns molecular conformations through simulating molecular dynamics with parameterized forces;ChemNet implements geometry-aware deep message-passing to learn chemical/biomedical properties of molecules. Two networks specialize in their own tasks and cooperate by providing expertise to each other. By fusing physical and chemical information, PhysChem achieved state-of-the-art performances on MoleculeNet, a standard molecular machine learning benchmark. The effectiveness of PhysChem was further corroborated on cutting-edge datasets of SARS-CoV-2. © 2021 Neural information processing systems foundation. All rights reserved.

Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19

In most countries around the world, various public policies and guidelines, such as social distancing and stay-at-home orders, have been put in place to slow down the spreading of COVID-19. Relying on traditional surveys to assess policy impacts on community level behavior changes may lead to biased results, and limit fine-grained understanding of human behavior dynamics over time. We propose to leverage mobile sensing to capture people's behavior footprints amid the COVID-19 pandemic, and understand their collective behavior changes with respect to existing policies. Specifically, we propose to extract a rich set of behavioral markers from raw mobile sensing data, including mobility, social interactions, physical activities, and health states, and apply them in a generalized behavior change analysis framework to measure and detect community level behavior changes in an epidemic context. We present how to combine change point detection algorithm and interrupted time series analysis to automatically detect three different measurements of behavior changes (e.g., level, trend, and variance changes), and provide insights supported by statistical inference. A case study using a dataset that we collected from a large mobile sensing study conducted in the United States is shown to demonstrate the proposed framework and method. © 2021 IEEE.

Autoclavable, Breathable, and Waterproof Membranes Tailored by Ternary Nanofibers for Reusable Medical Protective Applications

The COVID-19 created severe shortages of prevention materials and supplies, and the reuse of medical protective clothing is ongoing worldwide. However, it has remained a significant challenge to realize the reusability of the current medical protective clothing. We reported a scalable strategy to create autoclavable ternary electrospun nanofibrous membranes (TENMs) by introducing the elastomer polyurethane (PU) and low-surface-energy fluorinated polyurethane (FPU) into poly(ether sulfone) (PES) fibers via electrospinning. The advantage of this design was that we could balance the waterproof-breathable function and the thermostable performance of the membrane by controlling the PES/PU/FPU mass ratio. The resulting TENMs showed excellent performances of a high moisture transmission rate of 8.3 kg m-2 day-1, a high hydrostatic pressure of 82.56 kPa, a high bacteria retention rate of 99.99%, a high aerosol retention rate of 99.99%, and autoclave sterilization-invariant to 10 cycles. The successful preparation of the material can lead to the reuse of medical protective clothing in the foreseeable future. © 2021 American Chemical Society.

Temperature-Responsive Multilayer Films Based on Block Copolymer-Coated Silica Nanoparticles for Long-Term Release of Favipiravir

Using surface-initiated atom-transfer radical polymerization, temperature-responsive block polymers were functionalized on the surface of silica nanocapsules (SNCs) by a "grafting from" technique. Favipiravir, a potential medicine candidate for the treatment of coronavirus disease (COVID-19), was encapsulated in polymer-coated SNCs and further incorporated into welldefined films by layer-by-layer self-assembly. The multilayer films composed of polymer-coated SNCs and poly(methacrylic acid) (PMAA) homopolymers exhibited swelling/deswelling behaviors under the trigger of a temperature stimulus. For the first time, the impact of steric hindrance on the assembling behavior, swelling/ deswelling transition, and delivering capacity of nanocapsule-based multilayer films was investigated. SNCs with coronae of higher steric hindrance resulted in a larger layering distance during film growth. Moreover, the difference in the sustained release rates of the drug indicated their diverse diffusion coefficients and intermolecular interactions within the multilayer films, due to the presence of a methyl spacer at the amino group of nanocapsule coronae and weaker ionic pairing between SNC coronae and PMAA homopolymers. The profile of drug release from the films was dependent on the temperature value of the surrounding environment. At 37 and 40 degrees C, the films were able to efficiently entrap favipiravir, with as low as 50% released in 80 days, whereas a faster favipiravir release was triggered by exposure to a lower temperature value at 25 degrees C. This work demonstrates the first proof-of-concept platform of temperature-responsive SNC-incorporated multilayered films with a well-defined internal structure and a sustained release profile for on-demand in vitro drug delivery.

Impact of the COVID-19 on global trade of kiwifruit

The global trade of kiwifruit started in New Zealand in the 1950s, and entered a stage of rapid development afterwards. In 2019, the trade volume of kiwifruit reached 3.46 billion U.S. dollars. The major exporters include New Zealand, Italy, Belgium and Chile, and meanwhile, China, Japan, Belgium and Germany are playing important roles in importing. At the beginning of the 2020, the COVID-19 broke out in many countries one after another. What drove the world economy down was not simply virus itself, but a series of regulations came after. The epidemic led governments to issue lockdown order, which resulted in a chain reaction and global trade shrinking, and the kiwifruit market had been hit without exception. Farmers who got used to JIT mode suffered the impact from both the upstream and downstream of the supply chain. So far, the existing literatures in relative area mainly focus on the macro market level, in which they quote official data and make speculations base on facts. In the meanwhile, there is merely no analysis of specific industries nor has the quantitative analysis of trade data been made. As a result, our study aimed to understand the fluctuation of the kiwifruit trade volume due to the COVID- 19 worldwide in an empirical way. A time sequence model was built based on the dataset collected from FAO, UN database and customs website of relevant countries to get the monthly predicted trade value in 2020. We selected several most representative import and export countries for analysis, and the results showed that although the total value of kiwifruit trading witnessed a slight drop, the fluctuation was enormously varied from month to month. The most significant import rise appeared in China in February and March, reaching 2425% and 1380%, respectively. In March, the import value in Japan soared by 446% and the export value in New Zealand raised by 167%. In terms of regions, China experienced the raging virus and ushered in the dawn at the end of February. At the beginning of the epidemic, unprecedented strict lockdown measures made it hard to get commodities from international market, which explained the declining of import in January. In February, China's imports and exports had basically recovered to normal, so the import of kiwifruit surged in the next two months. Japan is another fat part in importing kiwifruit, and a small outbreak scale as well as the lack of domestic stocks explained the rise of importing before May. New Zealand is the largest exporter of kiwifruit in the world. Although it was less affected by the epidemic, the decline of global demand at the beginning of 2020 and the short of available labor in the second quarter may be main stumbling blocks ahead their way to export. All in all, the data from January to August reflected that the greater impact had imposed on Asia and Oceania than that on Europe, except the export value in Belgium. When talking about some of the worst affected nations, U.S. A, India and Brazil are the only three countries whose number of infections have exceeded 5 million. After comparing available trade data in 2020 with previous figures separately, we found that conspicuous ups and downs had reflected in those countries. Especially in June in U.S.A and September in India, the growth rate of import reached 100% and 103%, respectively. The huge fluctuations are considered to have connection with disrupted global supply chain, hindered labor mobility, plunging global demand, the rise of trade protectionism as well as the time lag between the spread of the virus among countries. However, as those problems were prominent in North America and Europe attributed to the increasingly serious epidemic, the kiwifruit trade in those two markets may be severely affected in the future. China is one of the very first countries to emerge from the shadow of the COVID-19, which provides an opportunity for Chinese kiwifruit industry to develop the good fruit quality and seize the global market share. As the world's largest producer and importer of kiwifruit, China owned more than 1 2 thousand hectares kiwifruit orchards and yielded more than 2 million tones fruit in 2019. In the same year, China spent more than $450 million in importing kiwifruit, which made it the biggest kiwifruit buyer in international market. Although China's kiwifruit market has huge throughput, its domestic fruit needs to face problems like uneven product quality, low average profit margin and low unit output. In order to settle current problems, we came up with three suggestions: Firstly, strengthen the integration of industry and academia, and tap into regional dominant varieties;Secondly, increase government support in multiple ways in order to build a thorough export system;Finally, construct closer cooperation in worldwide and conform to international standards. All of them are intended to improve the industry of Chinese kiwifruit better and healthier by not only using the existing advantages but also exploring new ways. © 2021, Office of Journal of the Fruit Science. All right reserved.