bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Advancements of Polysaccharides to Enhance Quality and Delay Ripening of Fresh Produce: A Review
Authors: Felicia Wen Xia Ling , Rovina Kobun , Nur’Aqilah Md Nasir , Vonnie Joseph Merillyn , Erna Kana Husna , Misson Mailin , Halid Nur Fatihah Abdul
Published: March 2022

The freshness of fruits and vegetables plays a significant role in consumers’ decision to purchase a product at the supermarket. Fresh-cut products are the latest trend in fulfilling society’s restless needs, and the food industry is faced with the challenge of maintaining the quality of fresh produce. The food industry is concerned with the natural maturation and degradation of fruits and vegetables, primarily due to enzymatic reactions. It has been demonstrated that polysaccharide coatings effectively preserve the freshness of these products, extending their shelf life depending on the preservation method used. This review informs readers about the different types of polysaccharides and their novel applications as natural food preservatives in the past five years (2018–2022). The key findings summarized the properties of the antimicrobial agent, the molecular mechanism of action, coating methods, and formulation for the preservation approach. Additionally, we discuss the scientific factors influencing polysaccharide processing and preservation efficacy, allowing it to be used in post-harvest management.
Strain Rate-Dependent Hyperbolic Constitutive Model for Tensile Behavior of PE100 Pipe Material
Authors: Li Yan , Luo Wenbo , Li Maodong , Yang Bo , Liu Xiu
Published: March 2022

It is not conservative to directly use the strength tested under the laboratory loading rates to evaluate the long-term creep strength of polymers. A suitable strain rate-dependent constitutive model is crucial for accurately predicting the long-term strength and mechanical behavior of polymer pressure pipes. In this study, the Kondner hyperbolic constitutive model is considered the base model in deriving the rate-dependent constitutive model for PE100 pipe material, and the yield stress and initial tangent modulus are the two rate-dependent parameters of the model. Uniaxial tension tests are carried out under five specified strain rates ranging from 10−5 s−1 to 5 × 10−2 s−1 to obtain these two parameters. It is demonstrated that the strain rate dependence of the yield stress and the initial tangent modulus can be described by either a power or a logarithm law. The predictions from the two models are in good agreement with the experiments. In contrast, the power-law rate-dependent Kondner model is more suitable for describing the rate-dependent tensile behavior of PE100 pipe material than the logarithm-law rate-dependent Kondner model, especially for the cases of very low strain rates which relate to the polymer pressure pipe applications.
Biosorption of Precious Metals Present at Dilute Concentrations on Fungal Pellets
Authors: Legorreta-Castañeda Adriana Jazmín , Lucho-Constantino Carlos Alexander , Coronel-Olivares Claudia , Beltrán-Hernández Rosa Icela , Vázquez-Rodríguez Gabriela A.
Published: March 2022

Biosorption on fungal pellets constitutes a promising way of removing precious metals, which are often present at dilute concentrations in wastewater. Herein, we studied the Ag and Au biosorption by Aspergillus tabacinus and Cladosporium cladosporioides pellets. For A. tabacinus pellets the optimum pH values for the biosorption of Ag and Au were 5 and 4, respectively, while for C. cladosporioides granules, the best-suited values were 3 and 4, respectively. Biosorption kinetics of both metals were also studied at low adsorbate concentrations (1 mg/L) and the pH values mentioned above, and the contact times that allow maximum recovery of the two metals were defined. At the pH values estimated as optimum, A. tabacinus pellets adsorbed greater amounts of Ag than C. cladosporioides pellets, while for Au the opposite occurred. We found that the pseudo-second-order model adequately represents Ag and Au biosorption kinetics under the conditions tested. Due to the growing demand and limited availability of these metals, their recovery from aqueous residual solutions is economically attractive and desirable in the expanding circular economy scheme.
Extraction and Purification of (E)-Resveratrol from the Bark of Conifer Species
Authors: Piyaratne Panduka S. , LeBlanc Regan , Myracle Angela D. , Cole Barbara J. W. , Fort Raymond C.
Published: March 2022

(E)-Resveratrol is a naturally occurring polyphenolic compound in plants with a variety of widely studied health benefits. The bark of Northern American, Canadian, and Northern European conifer species, which is an underutilized by-product generated by forest industries, is a source of (E)-resveratrol, providing a potential value-added product for these industries. Bark may serve as a good alternative to the invasive plant Japanese knotweed (Polygonum cuspidatum), which currently is the leading commercial source of (E)-resveratrol. This work describes a method to extract and purify (E)-resveratrol from conifer bark with high yield and high purity and investigates the relationship between the amount of (E)-resveratrol and the total phenolic contents in the bark of common conifer species. In this work, barks of four conifer species were extracted and the total phenolic contents were determined by Folin–Cicoalteu’s assay. The (E)-resveratrol content was determined by HPLC-MS. A purification method that utilizes solvent extraction and column chromatography was developed to isolate (E)-resveratrol in high yield from black spruce (Picea mariana) bark. The quantitative analysis of bark samples suggests the presence of (E)-resveratrol in black spruce (Picea mariana) and Norway spruce (Picea abies), in comparable amounts to Japanese knotweed. Based on HPLC-MS and HPLC-UV analyses, the purification method isolates the compound with a yield of 84% and purity of 99%. Hence, our method extracts and isolates (E)-resveratrol from conifer bark in high purity and high yield. The results do not support any correlation between the total phenolic content and the amount of (E)-resveratrol.
A Natural Language Interface for an Autonomous Camera Control System on the da Vinci Surgical Robot
Authors: Elazzazi Maysara , Jawad Luay , Hilfi Mohammed , Pandya Abhilash
Published: March 2022

Positioning a camera during laparoscopic and robotic procedures is challenging and essential for successful operations. During surgery, if the camera view is not optimal, surgery becomes more complex and potentially error-prone. To address this need, we have developed a voice interface to an autonomous camera system that can trigger behavioral changes and be more of a partner to the surgeon. Similarly to a human operator, the camera can take cues from the surgeon to help create optimized surgical camera views. It has the advantage of nominal behavior that is helpful in most general cases and has a natural language interface that makes it dynamically customizable and on-demand. It permits the control of a camera with a higher level of abstraction. This paper shows the implementation details and usability of a voice-activated autonomous camera system. A voice activation test on a limited set of practiced key phrases was performed using both online and offline voice recognition systems. The results show an on-average greater than 94% recognition accuracy for the online system and 86% accuracy for the offline system. However, the response time of the online system was greater than 1.5 s, whereas the local system was 0.6 s. This work is a step towards cooperative surgical robots that will effectively partner with human operators to enable more robust surgeries. A video link of the system in operation is provided in this paper.
Assessing the Impact of Extreme Droughts on Dryland Vegetation by Multi-Satellite Solar-Induced Chlorophyll Fluorescence
Authors: Leng Song , Huete Alfredo , Cleverly Jamie , Gao Sicong , Yu Qiang , Meng Xianyong , Qi Junyu , Zhang Rongrong , Wang Qianfeng
Published: March 2022

Satellite-estimated solar-induced chlorophyll fluorescence (SIF) is proven to be an effective indicator for dynamic drought monitoring, while the capability of SIF to assess the variability of dryland vegetation under water and heat stress remains challenging. This study presents an analysis of the responses of dryland vegetation to the worst extreme drought over the past two decades in Australia, using multi-source spaceborne SIF derived from the Global Ozone Monitoring Experiment-2 (GOME-2) and TROPOspheric Monitoring Instrument (TROPOMI). Vegetation functioning was substantially constrained by this extreme event, especially in the interior of Australia, in which there was hardly seasonal growth detected by neither satellite-based observations nor tower-based flux measurements. At a 16-day interval, both SIF and enhanced vegetation index (EVI) can timely capture the reduction at the onset of drought over dryland ecosystems. The results demonstrate that satellite-observed SIF has the potential for characterizing and monitoring the spatiotemporal dynamics of drought over water-limited ecosystems, despite coarse spatial resolution coupled with high-retrieval noise as compared with EVI. Furthermore, our study highlights that SIF retrieved from TROPOMI featuring substantially enhanced spatiotemporal resolution has the promising capability for accurately tracking the drought-induced variation of heterogeneous dryland vegetation.
Impact of Vertical Wind Shear on Summer Orographic Clouds over Tian Shan Mountains: A Case Study Based on Radar Observation and Numerical Simulation
Authors: Yang Jing , Liu Enhong , Liu Yubao , Lin Yanjun , Yin Yan , Jing Xiaoqin
Published: March 2022

In this research, a summer orographic precipitation process that occurred over the Tian Shan Mountains on 27 July 2019, was investigated, focusing on the impact of vertical wind shear on clouds. Multiple remote sensors were deployed to measure the ambient conditions and the fine structures of clouds and precipitation, including a radiometer, a vertically pointing micro-rain radar (MRR), and a cloud radar on a truck. In addition, a convection-permitting simulation was conducted to investigate the role of vertical wind shear. The results show that (1) according to the MRR measurements, the precipitation was mainly due to a warm rain process and was mostly light to moderate, with no strong convection occurring; (2) the cloud structures observed by the cloud radar were very different above and below the shear level, and the cloud evolution was strongly controlled by the vertical wind shear, and (3) radar observations and model simulations indicated that vertical wind shear had an inhibiting impact on the vertical development of clouds and was responsible for the formation of multi-layer clouds. The analysis highlights the advantages of the use of millimeter radars to measure the fine structures of orographic clouds; thus, they can be powerful tools with which to improve our understanding of the interactions occurring between vertical wind shear and clouds over complex terrain.
Vertical Profile of Ozone Derived from Combined MLS and TES Satellite Observations
Authors: Liu Jingwen , Wang Sihui , Yuan Qiangqiang , Zhang Feng , Zhu Liye
Published: March 2022

Ozone is one of the most important gases in the atmosphere as it plays different roles based on the levels it presents. The ozone layer in the stratosphere protects life on Earth by absorbing ultraviolet (UV) radiance while harming life at ground-level. In order to better understand the source of ozone pollution, transport of ozone, stratosphere-troposphere exchange of ozone, it is necessary to estimate the vertical profile of ozone. In this study, we derive the vertical ozone profile throughout the troposphere to the stratosphere by combing ozone retrievals from MLS (Microwave Limb Sounder) and TES (Tropospheric Emission Spectrometer). The combination algorithm is based on the MLS and TES retrieved vertical profiles of ozone, and averaging kernels of MLS, which represent the vertical sensitivity of the instrument. The combination algorithm was applied to the pairs of MLS and TES over the globe in 2007 as examples. The combined vertical profiles were compared with ozonesonde observations for validation, which indicate that the combined products extract information from MLS and TES have less biases than that of MLS or TES alone in general in both stratosphere and troposphere under certain quantitative criteria.
A Study on the Long-Term Variations in Mass Extinction Efficiency Using Visibility Data in South Korea
Authors: Joo Sohee , Dehkhoda Naghmeh , Shin Juseon , Park Mi Eun , Sim Juhyeon , Noh Youngmin
Published: March 2022

Fine particulate matter (PM) release is regulated by environmental policies in most countries. This study investigated long–term trends in the mass extinction efficiency (Qe) of aerosols in Northeast Asia. For this purpose, the Qe was calculated using visibility, PM2.5 recorded between 2015 and 2020, and PM10 recorded between 2001 and 2020 at eight Korean sites. The Qe of PM10 (Qe,10) showed an increasing trend with 0.06~0.22 (m2/g)/yr in seven cities except for Jeju. The Qe of PM2.5 (Qe,2.5) also showed an increasing trend with 0.28–2.47 (m2/g)/yr in all cities. In this study, PM10 and PM2.5, were divided into low, moderate, and high concentrations, and the Qe value change by year was examined. Qe,10 showed a tendency to decrease at low concentrations (19–21 μg/m3). However, at moderate (69–71 μg/m3) and high concentrations (139–141 μg/m3), Qe,10 increased in most regions. Qe,2.5 showed an increasing trend at low concentration (9–11 μg/m3), moderate concentration (29–31 μg/m3), and high concentration (69–71 μg/m3), except for Suwon and Pohang, where data were insufficient for analysis. Both Qe,10 and Qe,2.5 showed an increasing trend. The increase in Qe indicated that the visibility-impairing effect of PM can increase even if the same concentration of PM is present. The visibility-impairing effects of PM vary based on the composition, size and other characteristics of the particles in the atmosphere at a given point in time and not simply the quantity of particles. This means that reducing the quantity of particles does not reliably produce a proportionate improvement in visibility. Air quality policies must take the variable nature of PM particles and their effect on visibility into account so that more consistent improvements in air quality can be achieved.
Detecting Moving Trucks on Roads Using Sentinel-2 Data
Authors: Fisser Henrik , Khorsandi Ehsan , Wegmann Martin , Baier Frank
Published: March 2022

In most countries, freight is predominantly transported by road cargo trucks. We present a new satellite remote sensing method for detecting moving trucks on roads using Sentinel-2 data. The method exploits a temporal sensing offset of the Sentinel-2 multispectral instrument, causing spatially and spectrally distorted signatures of moving objects. A random forest classifier was trained (overall accuracy: 84%) on visual-near-infrared-spectra of 2500 globally labelled targets. Based on the classification, the target objects were extracted using a developed recursive neighbourhood search. The speed and the heading of the objects were approximated. Detections were validated by employing 350 globally labelled target boxes (mean F1 score: 0.74). The lowest F1 score was achieved in Kenya (0.36), the highest in Poland (0.88). Furthermore, validated at 26 traffic count stations in Germany on in sum 390 dates, the truck detections correlate spatio-temporally with station figures (Pearson r-value: 0.82, RMSE: 43.7). Absolute counts were underestimated on 81% of the dates. The detection performance may differ by season and road condition. Hence, the method is only suitable for approximating the relative truck traffic abundance rather than providing accurate absolute counts. However, existing road cargo monitoring methods that rely on traffic count stations or very high resolution remote sensing data have limited global availability. The proposed moving truck detection method could fill this gap, particularly where other information on road cargo traffic are sparse by employing globally and freely available Sentinel-2 data. It is inferior to the accuracy and the temporal detail of station counts, but superior in terms of spatial coverage.
Soil Salinity Detection and Mapping in an Environment under Water Stress between 1984 and 2018 (Case of the Largest Oasis in Africa-Morocco)
Authors: Rafik Abdellatif , Ibouh Hassan , El Alaoui El Fels Abdelhafid , Eddahby Lhou , Mezzane Daoud , Bousfoul Mohamed , Amazirh Abdelhakim , Ouhamdouch Salah , Bahir Mohammed , Gourfi Abdelali , Dhiba Driss , Chehbouni Abdelghani
Published: March 2022

Water stress is one of the factors controlling agricultural land salinization and is also a major problem worldwide. According to FAO and the most recent estimates, it already affects more than 400 million hectares. The Tafilalet plain in Southeastern Morocco suffers from soil salinization. In this regard, the GIS tools and remote sensing were used in the processing of 19 satellite images acquired from Landsat 4–5, (Landsat 7), (Landsat 8), and (Sentinel 2) sensors. The most used indices in the literature were (16 indices) tested and correlated with the results obtained from 25 samples taken from the first soil horizon at a constant depth of 0.20 m from the 2018 campaign. The linear model, at first, allows the selection of five better indices of the soil salinity discrimination (SI-Khan, VSSI, BI, S3, and SI-Dehni). These last indices were the subject of the application of a logarithmic model and polynomial models of degree two and four to increase the prediction of saline soil.. After studies and analysis, we concluded that the second-degree polynomial model of the salinity index (SI-KHAN) is the most efficient one for detecting and mapping soil salinity in the Tafilalet oasis, with a coefficient of determination (R2) and the Nash–Sutcliffe efficiency (NSE) equal to 0.93 and 0.86, respectively. Percent bias (PBIAS) calculated for this model equal was 1.868% < 10%, and the low value of the root mean square error (RMSE) confirms its very good performance. The drought cyclicity led to the intensification of the soil salinization process and accelerated soil degradation. The standardized precipitation anomaly index (SPAI) is strongly correlated to soil salinity. The hydroclimate condition is the factor that further controls this phenomenon. An increase in salinized surfaces is observed during the periods of 1984–1996 and 2000–2005, which cover a surface of 11.50 and 24.20 km2, respectively, while a decrease of about 50% is observed during the periods of 1996–2000 and 2005–2018.
Forest Above-Ground Biomass Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model
Authors: Zhang Wangfei , Zhao Lixian , Li Yun , Shi Jianmin , Yan Min , Ji Yongjie
Published: March 2022

Forest biomass change monitoring is essential for climate change. Synthetic aperture radar (SAR) and optimal remote sensing (RS) data are two very helpful data sources for forest biomass monitoring and estimation. During the procedure of biomass estimation using RS technique, optimal features selection and estimation models used are two critical steps. This paper therefore focuses on building an operational and robust method of biomass retrieval using optical and SAR RS data. First, random forest (RF) algorithms are used for reducing time-consuming and decreasing computational burden; then, an iterative procedure was embedded in K-nearest neighbor (KNN) algorithms for the best optimal feature selection and combination; last, the best feature combinations and KNN models were applied for forest biomass estimation. Moreover, forest type effects and RS feature source effects were considered. The results showed that feature combination of two optical images and the SAR image showed highest estimation accuracy by using the proposed algorithm (R2 = 0.70 for Forest-1, R2 = 0.72 for Forest-2, and R2 = 0.71 for Forest-3; RMSE = 16.18 Mg/ha for Forest-1, RMSE =17.66 Mg/ha for Forest-2, and RMSE = 18.67 Mg/ha for Forest-3, where Forest-1 is natural pure forests of Yunnan Pines, Forest-2 is natural mixed coniferous forests, and Forest-3 is the combination of Forest-1 and Forest-2). With the comparative analysis of proposed algorithm and different non-parametric algorithms, traditional nonparametric algorithms performed better in Forest-1, but worse in Forest-2 and Forest-3, while the proposed algorithm performed no obvious difference in three forest types and using five feature groups. The results revealed that the proposed algorithm was robust in biomass estimation, with almost no feature source and forest structure dependent for biomass estimation.
Retail Mergers and Acquisitions, and Specialty Crop Producers: Evidence from California
Authors: Volpe Richard , Alman Maiah , Cai Xiaowei , Stevens Alexander
Published: March 2022

Relatively little is known about the economic impact of mergers and acquisitions in the food retail industry on upstream agricultural producers. We study the potential impact of the 2014 merger between Safeway and Albertsons on California specialty crop growers. There is a consensus among the 19 growers that we interviewed that merger events are unfavorable since they lead to uncertainty, lower prices, lost revenue, and higher transaction costs. State-level analysis of USDA crop price data provides support for these contentions.
Factors Influencing the Purchase Intention for Recycled Products: Integrating Perceived Risk into Value-Belief-Norm Theory
Authors: Hein Nika
Published: March 2022

Recycling used materials is one way to deal with the depletion of natural resources available on earth. Companies increasingly integrate recycled materials into their production processes and transition towards circular business models. However, although the attitude towards sustainable products is positive, consumers still prefer to buy products made from new instead of recycled materials. Empirical research on factors influencing the purchase intention of recycled products is still limited. This study aims to examine consumers’ individual factors that are important in the decision process to buy recycled products. The Value-Belief-Norm (VBN) theory is explored in the context of recycled product purchase intention. Perceived risk is added to the research model as a moderator that hinders purchase intention. The different influences are analyzed using partial least squares structural equation modelling with a sample of 177 respondents from Germany. Results indicate that the causal chain of relationships between values, beliefs, and personal norm has a positive influence on recycled product purchase intention. Perceived risk, on the other hand, has a significant negative direct effect on purchase intention but strengthens the relationship between personal norms and purchase intention. Theoretical and managerial implications as well as avenues for further research are discussed.
The Impact of Climate Change on Urban Transportation Resilience to Compound Extreme Events
Authors: Ji Tao , Yao Yanhong , Dou Yue , Deng Shejun , Yu Shijun , Zhu Yunqiang , Liao Huajun
Published: March 2022

Global warming, sea-level rise, and rapid urbanization all increase the risk of compound extreme weather events, presenting challenges for the operation of urban-related infrastructure, including transportation infrastructure. In this context, some questions become important. For example, what are the temporal and spatial distribution and development trends of transportation resilience when considering the impact of multilpe extreme weather events on the urban transportation system? What is the degree of loss of urban transportation resilience (UT resilience) under different extreme event intensities, and how long will it take for the entire system to restore balance? In the future, if extreme weather events become more frequent and intense, what trends will urban transportation resilience show? Considering these problems, the current monitoring methods for transportation resilience under the influence of extreme events are lacking, especially the monitoring of the temporal and spatial dynamic changes of transportation resilience under the influence of compined extreme events. The development of big data mining technology and deep learning methods for spatiotemporal predictions made the construction of spatiotemporal data sets for evaluating and predicting UT resilience-intensity indicators possible. Such data sets reveal the temporal and spatial features and evolution of UT resilience intensity under the influence of compound extreme weather events, as well as the related future change trends. They indicate the key research areas that should be focused on, namely, the transportation resilience under climate warming. This work is especially important in planning efforts to adapt to climate change and rising sea levels and is relevant to policymakers, traffic managers, civil protection managers, and the general public.
Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models
Authors: Salavati Ghafar , Saniei Ebrahim , Ghaderpour Ebrahim , Hassan Quazi K.
Published: March 2022

The risk of forest and pasture fires is one of the research topics of interest around the world. Applying precise strategies to prevent potential effects and minimize the occurrence of such incidents requires modeling. This research was conducted in the city of Sanandaj, which is located in the west of the province of Kurdistan and the west of Iran. In this study, fire risk potential was assessed using weights of evidence (WoE) and statistical index (SI) models. Information about fire incidents in Sanandaj (2011–2020) was divided into two parts: educational data (2011–2017) and validation data (2018–2020). Factors considered for potential forest and rangeland fire risk in Sanandaj city included altitude, slope percentage, slope direction, distance from the road, distance from the river, land use/land cover (LULC), average annual rainfall, and average annual temperature. Finally, in order to validate the two models used, the receiver operating characteristic (ROC) curve was used. The results for the WoE and SI models showed that about 62.96% and 52.75% of the study area, respectively, were in the moderate risk to very high risk classes. In addition, the results of the ROC curve analysis showed that the WoE and SI models had area under the curve (AUC) values of 0.741 and 0.739, respectively. Although the input parameters for both models were the same, the WoE model showed a slightly higher AUC value compared to the SI model, and can potentially be used to predict future fire risk in the study area. The results of this study can help decision makers and managers take the necessary precautions to prevent forest and rangeland fires and/or to minimize fire damage.
Ultrasound as a Potential Technology to Improve the Quality of Meat Produced from a Mexican Autochthonous Bovine Breed
Authors: Caraveo-Suarez Reyes Omaro , Garcia-Galicia Iván Adrián , Santellano-Estrada Eduardo , Carrillo-Lopez Luis Manuel , Huerta-Jimenez Mariana , Morales-Rodriguez Simon , Vargas-Bello-Pérez Einar , Alarcon-Rojo Alma Delia
Published: March 2022

The objective of this study was to evaluate the effect of high-intensity ultrasound (HIU) on the physicochemical and textural properties of meat from Rararumi Criollo, a Mexican autochthonous bovine breed. After slaughter, Longissimus dorsi and Triceps brachii muscles were separated from carcasses, cut into 2.5 cm slices and treated with HIU, except the control group, which was not sonicated. After treatment, samples were vacuum-sealed and stored at 4 °C for 0, 3, 6, 9, 12 and 15 d. HIU increased (p < 0.05) the luminosity and yellowness (b*) of meat. Higher b* (p < 0.05) was observed in L. dorsi than in T. brachii muscles. No effect (p > 0.05) of HIU was detected on drip loss, pH, the water holding capacity and the total collagen of meat. The shear force of HIU-treated meat was lower (p < 0.05) than control samples, indicating a tenderizing effect. There were differences between muscles. L. dorsi was more tender (p < 0.05), and it had higher pH and WHC values than T. brachii. Overall, HIU is a potential method for tenderizing Raramuri Criollo cattle meat without negative impacts on other quality characteristics. HIU is an emerging technology that could add value to indigenous breeds and provide a new opportunity for the growing meat market.
Forest Area: Old and New Factors That Affect Its Dynamics
Authors: Toledo Elisa , Ochoa-Moreno Wilman Santiago , Alvarado Rafael , Cuesta Lizeth , Murshed Muntasir , Rehman Abdul
Published: March 2022

The analysis of the nexus between environmental degradation and economic progress has focused on polluting emissions. However, the forest area plays a significant role in achieving the Sustainable Development Goals (SDG) related to the environment. Forest area is directly related to air and water quality and the absorption of polluting residues. At the same time, in recent decades, economic progress processes have been internationalised and knowledge has improved in the context of persistent income inequality. The objective of this research is evidence that economic progress is destroying nature; for this, we use forest area as a measure of environmental quality. The nexus between the two variables is moderated by the globalisation KOF index, income inequality, and knowledge. Using non-linear methods, we find a threshold effect in globalisation, inequality, and economic progress. This result implies that before the threshold, the impact of the covariates differs from the impact after the threshold, generating findings different from those shown by the previous environmental literature. The results reveal that after a threshold, the impact of economic progress on forest area is negative. This fact reveals that the main obstacle to achieving environmental sustainability is in the least developed countries, where inequality and globalisation reinforce the degradation of the forest area. We find that knowledge is a mechanism to prevent deforestation, particularly in more developed countries. Those responsible for pro-environmental policy should promote global strategies to prevent economic progress from being based on the destruction of nature.
Intention and Action: Evaluating the Policy Antecedents of Development
Authors: Spurlock Danielle , Berke Philip
Published: March 2022

Development management ordinances are central components of the development process, and yet there is not an established set of principles to guide their evaluation. We build upon the established plan quality literature to develop a protocol to assess ordinances based on their content and their administration. Using substantive and procedural principles enables the examination of how ordinances incorporate both scientific information and administrative practices to support policy implementation. Our cross-sectional study of 22 jurisdictions in two different states compared riparian buffer policies, single-purpose mandates, and sociodemographic variables. We found (1) overall low ordinance quality scores, (2) statistically significant differences between the watersheds at the sub-principle level, and (3) multiple, moderate correlations among ordinance quality scores, population density, and planning capacity. The findings suggest opportunities to increase the usage of best available science and promising administrative practices within ordinances aimed at protecting water quality.
Peer Effect in Merger and Acquisition Activities and Its Impact on Corporate Sustainable Development: Evidence from China
Authors: Gu Yue , Ben Shenglin , Lv Jiamin
Published: March 2022

The research aims to investigate the existence of peer effect in mergers and acquisitions and study its impact on corporate sustainable development. It first constructs a peer effect testing model to examine whether there is peer effect in mergers and acquisitions, based on quarterly data in China between 2005 and 2019. Then, two econometric models are proposed separately to explore the impact of economic policy uncertainty on the merger and acquisition peer effect, as well as how the peer effect affects corporate sustainability. The key findings show that (i) firms tend to imitate their peers’ merger and acquisition behaviors, which means that the peer effect does exist in mergers and acquisitions; (ii) economic policy uncertainty could strengthen the peer effect in mergers and acquisitions; (iii) the peer effect has a negative impact on corporate sustainable development, and the impact is more significant within a relatively short period. Therefore, this study enriches the research of behavior science in mergers and acquisitions, improves the accuracy of peer effect testing and enables both firms and policymakers to mitigate irrational imitation in merger and acquisition deals, thus achieving their sustainable development goals.
Redesigning of Farming Systems Using a Multi-Criterion Assessment Tool for Sustainable Intensification and Nutritional Security in Northwestern India
Authors: Prusty Ashisa K. , Natesan Ravisankar , Panwar Azad S. , Jat Mangi L. , Tetarwal Jagdish P. , López-Ridaura Santiago , Adelhart Toorop Roos , Akker Jelle van den , Kaur Jashanjot , Ghasal Prakash C. , Groot Jeroen C. J. , Barba-Escoto Luis , Kashyap Poonam , Ansari Meraj A. , Shamim Mohammad
Published: March 2022

Sustaining agricultural systems dominated by small and vulnerable resource-poor farms that are subject to climatic aberrations is a major challenge for most Asian countries. In this context, the role of agriculture requires immediate attention in northwestern India where marginal farmers with less than a meagre 1 hectare of land represent about 67% of the population. Research based on prototype farms is being promoted in the redesign of current farming practices to help give these farmers sustainable livelihoods. We hypothesize that integrating innovative cropping systems into smallholder marginal farms could help to achieve these objectives. The study presented here describes a modelling approach for the ex-ante assessment of the current farming practices of marginal households in terms of economic, environmental, and nutritional indicators in comparison with those of experimental research farms in order to delineate an alternative scope of flexibility to optimize farming practices. We used the FarmDESIGN model to evaluate farmers’ realities, with a focus on marginal farms (marginal poor farmers (MPFs)) and marginal diversified farmers (MDF) with the objective of enhancing profit, soil organic matter balance, and nutritional system yield in terms of dietary energy and reducing pesticide usage. Introducing prototype cropping systems in up to 33% of the farm area, combined with rearrangements of the existing crops, provided ample opportunity to improve farm performance. The improvements were greater when prototype cropping systems were added, and MPFs could benefit greatly from improvements in soil organic matter balance when considering the current negative organic matter balance of most farms. We conclude that the model-based approach of evaluating the potential of new cropping systems, along with the fine tuning of alternative combinations, will support the enhanced adaptability of innovative cropping practices, which will help to improve the livelihoods of marginal farmers.
Managing Labor Sustainability in Digitalized Supply Chains: A Systematic Literature Review
Authors: Chen Chiyin , Feng Yunting , Shen Bin
Published: March 2022

With increasing concerns of labor issue risks within supply chains, both academia and practitioners are paying increasingly great attention to how to design and implement effective management approaches to enhance labor sustainability in supply chains. Furthermore, digitalization facilitates and brings both opportunities and challenges to this area. Using the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we conducted a systematic literature review based on 50 selected papers from the Web of Science database. Starting from the supply chain level, this study identifies digital technology (DT)-enabled labor sustainability management practices, barriers to the adoption of DT in labor management practices, and the performance outcomes of such practices. In addition, we put forward solutions to eliminate those identified barriers to facilitate DT adoption in firms’ labor sustainability management. Last, future directions and research opportunities for both supply chain management and labor sustainability are summarized.
Determinants of Loan Acquisition and Utilization among Smallholder Rice Producers in Lagos State, Nigeria
Authors: Ameh Michael , Lee Sang Hyeon
Published: March 2022

Agriculture is a major contributor to economic development in most developing nations, with smallholder farmers playing a critical role, but their productivity and growth are impeded by a lack of access to agricultural loans. The affordability of loans is critical for sustainable agricultural development. Therefore, this paper investigates farmers’ loan acquisition and utilization, as well as their choice of loan sources using a two-part model and multinomial logit model. A total of 281 smallholder rice farmers were surveyed in Lagos State, Nigeria. The empirical findings show that marital status, farm size, and interest rate were all positive and significant influences on farmers’ loan sources of choice. In addition, annual farm revenue and the interest rate have a significant positive impact on loan access, whereas education, farming experience, farm size, off-farm income, and farm income have a major impact on loan use. The study also reveals that the preferred loan source differs according to the characteristics of farm households. The study concluded that access to loans increases farmers’ income in the region. It was recommended that the socio-economic characteristics of rice farmers should be considered when formulating and implementing policies to improve smallholder farmers’ access to agricultural loans.
Root System Architecture and Symbiotic Parameters of Summer Mung Bean (Vigna Radiata) under Different Conservation Agriculture Practices
Authors: Kumar Arun , Saini Kulvir , Rolaniya Lalit , Singh Love , Kaushik Prashant
Published: March 2022

Root system architecture plays a vital role in plant growth, development, and adaptation by absorbing water and nutrients and providing mechanical support for growing plants. Unfortunately, little information is available in the literature on the root dynamics of summer mung bean under conservation agriculture conditions. In this study, field experiments were conducted during the summer seasons of two consecutive years (2020 and 2021) to investigate the root system dynamics of summer mung bean under different conservation agriculture practices. The highest stem and system width, depth to width length, number of nodal roots, taproot diameter, secondary root length (both right and left) of summer mung bean were recorded in the Soybean (permanent bed; PB)-Wheat(PB)-Summer mung (PB)(+Residual; +R) based cropping systems, followed by Maize(PB)-Wheat(PB)-Summer mung (PB)(+R), while, the lowest values of above parameters were recorded in the Puddled Transplanted Rice–Conventional till (PTR-CT)Wheat-Summer mung (-R). Further, the pod length, number of seeds per pod, number of pods per plant, seed yield and symbiotic parameters (including number of nodules per plant, leghaemoglobin content) and root dry weight were recorded highest in Soybean (PB)-Wheat (PB)-Summer mung (PB)(+R). Interestingly, the yield of summer mung bean increased around 13.4–29.5% when residues were retained on the soil surface with treatments involving residual removal. The soil dehydrogenase enzyme activity increased significantly under Soybean (PB)-Wheat (PB)-Summer mung (PB)(+R) based cropping system as compared to PTR-CT Wheat-Summer mung (-R). In addition, the number of pods per plant exhibited a significantly positive correlation with yield during both crop seasons. Overall, this study suggests that the inclusion of summer mung in soybean-based cropping systems may substantially improve the root architecture and soil quality and increase crop yield under conservation agriculture.
Spatial Zoning of Dry-Hot Wind Disasters in Shandong Province
Authors: Wang Nan , Xue Xiaoping , Zhang Lijuan , Chu Yue , Jiang Meiyi , Wang Yumeng , Yang Yiping , Guo Xihui , Zhao Yufeng , Zhao Enbo
Published: March 2022

As a major agricultural province of China, Shandong province has long ranked first in agricultural growth value among all of the provinces; at the same time, it is also the province that is most affected by dry-hot wind. Therefore, it is of great significance to study the spatial zoning of the risks of dry-hot wind in this province. Based on meteorological, slope, and altitude data, and the principle of disaster risk assessment, this study uses a weighted comprehensive evaluation method, analytic hierarchy process, and ARC-GIS spatial analysis to study the spatial zoning of the risks of dry-hot wind in Shandong province. The results show that the high-risk regions of dry-hot wind are concentrated in the north-central portion of the province, the medium-risk regions are in the peripheral areas, and the low-risk regions are located mainly in the west, southwest, and east. Exposure of disaster-bearing bodies is high in the south and low in the north, while vulnerability to disaster-bearing bodies is high in the west and low in the east. The more developed areas in the east show high disaster prevention and mitigation capability, whereas this is weak in the west. In summary, dry-hot wind risk in Shandong province varies significantly by area. The medium- and high-risk areas are mainly in the west and central portions of the province.
Impact of Crumb Rubber Concentration and Plastic Coated Aggregates on the Rheological Performance of Modified Bitumen Asphalt
Authors: Kumar Arun , Berwal Parveen , Al-Mansour Abdullah I. , Khan Mohammad Amir , Alam Shamshad , Lee Seongkwan Mark , Malik Akash , Iqbal Amjad
Published: March 2022

The diminution of natural resource exploration, the retrieval of waste, and the structural modification of polymers by additives are the main contributions to sustainable development. The properties of bitumen are enhanced by the crumb rubber through effective bitumen modification techniques, which have environmental and economic advantages. In this study, plastic waste, plastic-coated aggregate (PCA), and bitumen were blended in order to enhance the engineering properties of the flexible pavement. In order to compute the composition of crumb rubber modified bitumen (CRMB), the adopted materials were subjected to the relevant experiments. PCA was a very effective material when compared to the standard bitumen road pavement. The recycling of waste crumb rubber and plastic was tested by adding them into the hot mix asphalt. The Marshall properties of standard (virgin) bituminous mix, CRMB grade 55, and plastic mix asphalt were studied in detail to explore the solutions for a sustainable environment. The comparison was performed between these two materials with the standard bitumen, which resulted in the CRMB and plastics being found as the most effective additions with robust properties such as low-cost material, high strength, long life usage, and un-harmful to nature. The optimal bitumen content was found to be 6.166%, 6.1%, and 5.833% for standard bitumen, crumb rubber modified bitumen, and plastic-coated aggregate, respectively.
Optimization of Architectural Thermal Envelope Parameters in Modern Single-Family House Typologies in Southeastern Spain to Improve Energy Efficiency in a Dry Mediterranean Climate
Authors: Pérez-Carramiñana Carlos , González-Avilés Ángel Benigno , Galiano-Garrigós Antonio , Lozoya-Peral Andrea
Published: March 2022

The increasing regulatory requirements for energy efficiency in Europe imply a significant increase in insulation and solar control of buildings, especially in hot and semi-arid climates with high annual insolation such as the Spanish Mediterranean southeast. The consequences in architectural design to optimize compliance with the new technical and regulatory requirements of nearly zero-energy buildings are high. This paper analyzes the energy performance of a modern single-family house on the Spanish Mediterranean coast. The objective is to determine which design parameters most influence the energy improvement of this case study in order to establish design strategies that can be generalized to other new construction or energy retrofit projects, taking into account the specific characteristics of the warm and semi-arid Mediterranean climate. The scientific novelty of the work is to demonstrate that the design criteria of most modern single-family houses built or rehabilitated in the Spanish Mediterranean in the last decade comply with the energy efficiency requirements of Directive 2010/31/EU but are not specifically adapted and optimized for the special characteristics of the dry Mediterranean climate. This is the case of the house studied in this paper. The methodology used consisted of a systematized study of the main construction and geometric parameters that most influence the thermal calculation of this project: the thermal insulation thickness, thermal transmittance of the glazing, solar control of the glazing, total solar energy transmittance of the glazing with the movable shading device activated, size of glazing and the size of façade overhangs. The results obtained show that the use of mobile solar protection devices in summer, such as awnings or blinds, reduces the cooling need in summer up to 44% and the overall annual energy need (Cooling + Heating) up to 20%. This implementation is more efficient than increasing the thermal insulation of facades and glazing, reducing the size of windows or increasing overhangs. The most optimal solution is the simultaneous modification of several parameters. This reduces both heating need in winter and cooling need in summer, achieving an overall reduction in an annual need of 48%. This multiple solution improves the annual energy performance of the house much more than any solution consisting of modifying a single individual parameter. The results determine trends, explanations and deductions that can be extrapolated to other projects.
Damage Management of Concrete Structures with Engineered Cementitious Materials and Natural Fibers: A Review of Potential Uses
Authors: Dadkhah Mehran , Tulliani Jean-Marc
Published: March 2022

The importance of the safety and sustainability of structures has attracted more attention to the development of smart materials. The presence of small cracks (<300 µm in width) in concrete is approximately inevitable. These cracks surely damage the functionality of structures, increase their degradation, and decrease their sustainability and service life. Self-sensing cement-based materials have been widely assessed in recent decades. Engineers can apply piezoresistivity for structural health monitoring that provides timely monitoring of structures, such as damage detection and reliability analysis, which consequently guarantees the service life with low maintenance costs. However, concrete piezoresistivity is limited to compressive stress sensing due to the brittleness of concrete. In contrast, engineered cementitious composites (ECC) present excellent tensile ductility and deformation capabilities, making them able to sense tensile stress/strain. Therefore, in this paper, first, the ability of ECC to partly replace transverse reinforcements and enhance the joint shear resistance, the energy absorption capacity, and the cracking response of concrete structures in seismic areas is reviewed. Then, the potential use of natural fibers and cellulose nanofibers in cementitious materials is investigated. Moreover, steel and carbon fibers and carbon black, carbon nanotubes, and graphene, all added as conductive fillers, are also presented. Finally, among the conductive carbonaceous materials, biochar, the solid residue of biomass waste pyrolysis, was recently investigated to improve the mechanical properties, internal curing, and CO2 capture of concrete and for the preparation of self-sensing ECC.