bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanical Performances of Lightweight Sandwich Structures Produced by Material Extrusion-Based Additive Manufacturing
Authors: Zaharia Sebastian Marian , Enescu Larisa Anamaria , Pop Mihai Alin
Published: August 2020

Material Extrusion-Based Additive Manufacturing Process (ME-AMP) via Fused Filament Fabrication (FFF) offers a higher geometric flexibility than conventional technologies to fabricate thermoplastic lightweight sandwich structures. This study used polylactic acid/polyhydroxyalkanoate (PLA/PHA) biodegradable material and a 3D printer to manufacture lightweight sandwich structures with honeycomb, diamond-celled and corrugated core shapes as a single part. In this paper, compression, three-point bending and tensile tests were performed to evaluate the performance of lightweight sandwich structures with different core topologies. In addition, the main failure modes of the sandwich structures subjected to mechanical tests were evaluated. The main failure modes that were observed from mechanical tests of the sandwich structure were the following: face yielding, face wrinkling, core/skin debonding. Elasto-plastic finite element analysis allowed predicting the global behavior of the structure and stressing distribution in the elements of lightweight sandwich structures. The comparison between the results of bending experiments and finite element analyses indicated acceptable similarity in terms of failure behavior and force reactions. Finally, the three honeycomb, diamond-celled and corrugated core typologies were used in the leading edge of the wing and were impact tested and the results created favorable premises for using such structures on aircraft models and helicopter blade structures.
Continuous Improvement Process in the Development of a Low-Cost Rotational Rheometer
Authors: Hernández-Rangel Francisco J. , Saavedra-Leos María Z. , Morales-Morales Josefa , Bautista-Santos Horacio , Reyes-Herrera Vladimir A. , Rodríguez-Lelis José M. , Cruz-Alcantar Pedro
Published: August 2020

The rheological characterization of fluids using a rheometer is an essential task in food processing, materials, healthcare or even industrial engineering; in some cases, the high cost of a rheometer and the issues related to the possibility of developing both electrorheological and magnetorheological tests in the same instrument have to be overcome. With that in mind, this study designed and constructed a low-cost rotational rheometer with the capacity to adapt to electro- and magneto-rheological tests. The design team used the method of continuous improvement through Quality Function Deployment (QFD) and risk analysis tools such as Failure Mode and Effect Analysis (FMEA) and Finite Element Analysis (FEA). These analyses were prepared in order to meet the customer’s needs and engineering requirements. In addition to the above, a manufacturing control based on process sheets was used, leading to the construction of a functional rheometer with a cost of USD $1500.
The Importance of Dose Intensity When Administering Cytotoxic Chemotherapy in NSCLC—A Matter as Actual Now as in the Past
Authors: Nitipir Cornelia , Orlov-Slavu Cristina , Olaru Mihaela , Parosanu Andreea , Popa Ana-Maria , Iaciu Cristian , Popescu Bogdan Catalin , Barbu Maria Alexandra , Pirlog Cristina , Calu Valentin , Popescu Andreea Catarina , Bumbacea Dragos , Paleru Cristian , Slavu Iulian , Alecu Lucian
Published: August 2020

Lung cancer, as the leading cause of death in oncology is one of the most challenging diseases nowadays. Even after the implementation of checkpoint inhibitors and targeted therapy as a standard of therapy for metastatic disease, the chemotherapy backbone remains essential in the treatment of these patients. This study aimed to evaluate how administration particularities in chemotherapy and toxicity management can influence the outcome. We conducted a retrospective single-institution study, at Elias University Emergency Hospital, Bucharest, Romania, between 2014 and 2018, in a heterogeneous patient population with metastatic non-small cell lung cancer that received combination chemotherapy. The inclusion criteria for this trial were—histological proof of non-small cell lung cancer (NSCLC), stage IV disease, ECOG (Eastern Cooperative Oncology Group) performance status of a maximum of two, treatment with cytotoxic chemotherapy for at least four courses (patients with fewer courses were excluded). All patients received combination chemotherapy. The main focus was on the effect of dose reduction and treatment delay on overall survival and progression-free survival. A total of 129 patients were enrolled. The response rate in the studied population was 69% and 62.8% had no toxicity greater than grade 2. Chemotherapy regimens used had the following distribution—paclitaxel + carboplatin 41.9%, paclitaxel + carboplatin + bevacizumab 12.4%, pemetrexed + carboplatin 12.4%, gemcitabine + carboplatin 26.4% and other regimens 7%. Mean PFS (Progression Free Survival) was 9.1 months and the mean OS (Overall Survival) was 14 months. OS was not significantly different in the treatment delay group versus the no delay one, p < 0.25 but dose- reduction significantly impacted OS, p < 0.03. Administration particularities, like febrile neutropenia prophylaxis, treatment of chemotherapy-related anemia, respecting the details of chemostability and preparation rules and emesis prophylaxis, were considered reasons for the good outcome. Details regarding cytotoxic chemotherapy administration remain of paramount importance for a good outcome and the benefit for survival they convey is crucial. Sometimes the benefit the patient derives from these details is comparable to the one newer therapies convey.
Navigating Voyages in Real and Religious Life: The Big-Dipper Belief and Shipbuilding in Premodern China
Authors: Li Yiwen
Published: August 2020

Sailors in premodern China performed various types of rituals to pray for safe voyages. This article investigates a unique seven-dot image discovered from shipwrecks dated to thirteenth- and fourteenth-century China. Comparing the seven-dot image with the Big-Dipper image in premodern navigation maps, this article demonstrates that the seven-dot image represents the Big Dipper. The Big Dipper in premodern China was both an essential, practical guidance in maritime voyages and a religious symbol that the faithful believed could prolong the human’s lifespan and command the element of water. The dual function of the Big Dipper endowed the Big-Dipper images in ships with a dual meaning and made it particularly auspicious. The Big Dipper’s practical function prompted the carvers to present the image accurately, making it distinctive from other Big-Dipper images in the religious context.
Seasonal Comparisons of Himawari-8 AHI and MODIS Vegetation Indices over Latitudinal Australian Grassland Sites
Authors: Tran Ngoc Nguyen , Huete Alfredo , Nguyen Ha , Grant Ian , Miura Tomoaki , Ma Xuanlong , Lyapustin Alexei , Wang Yujie , Ebert Elizabeth
Published: August 2020

The Advanced Himawari Imager (AHI) on board the Himawari-8 geostationary (GEO) satellite offers comparable spectral and spatial resolutions as low earth orbiting (LEO) sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors, but with hypertemporal image acquisition capability. This raises the possibility of improved monitoring of highly dynamic ecosystems, such as grasslands, including fine-scale phenology retrievals from vegetation index (VI) time series. However, identifying and understanding how GEO VI temporal profiles would be different from traditional LEO VIs need to be evaluated, especially with the new generation of geostationary satellites, with unfamiliar observation geometries not experienced with MODIS, VIIRS, or Advanced Very High Resolution Radiometer (AVHRR) VI time series data. The objectives of this study were to investigate the variations in AHI reflectances and normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and two-band EVI (EVI2) in relation to diurnal phase angle variations, and to compare AHI VI seasonal datasets with MODIS VIs (standard and sun and view angle-adjusted VIs) over a functional range of dry grassland sites in eastern Australia. Strong NDVI diurnal variations and negative NDVI hotspot effects were found due to differential red and NIR band sensitivities to diurnal phase angle changes. In contrast, EVI and EVI2 were nearly insensitive to diurnal phase angle variations and displayed nearly flat diurnal profiles without noticeable hotspot influences. At seasonal time scales, AHI NDVI values were consistently lower than MODIS NDVI values, while AHI EVI and EVI2 values were significantly higher than MODIS EVI and EVI2 values, respectively. We attributed the cross-sensor differences in VI patterns to the year-round smaller phase angles and backscatter observations from AHI, in which the sunlit canopies induced a positive EVI/ EVI2 response and negative NDVI response. BRDF adjustments of MODIS VIs to solar noon and to the oblique view zenith angle of AHI resulted in strong cross-sensor convergence of VI values (R2 > 0.94, mean absolute difference <0.02). These results highlight the importance of accounting for cross-sensor observation geometries for generating compatible AHI and MODIS annual VI time series. The strong agreement found in this study shows promise in cross-sensor applications and suggests that a denser time series can be formed through combined GEO and LEO measurement synergies.
Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia
Authors: Mustafa Farhan , Bu Lingbing , Wang Qin , Ali Md. , Bilal Muhammad , Shahzaman Muhammad , Qiu Zhongfeng
Published: August 2020

Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing the atmospheric carbon dioxide (CO2) emissions. For a better understanding of CO2 variation trends over Asia, in this study, the column-averaged CO2 dry air mole fraction (XCO2) derived from the National Oceanic and Atmospheric Administration (NOAA) CarbonTracker (CT) was compared with that of Greenhouse Gases Observing Satellite (GOSAT) from September 2009 to August 2019 and with Orbiting Carbon Observatory 2 (OCO-2) from September 2014 until August 2019. Moreover, monthly averaged time-series and seasonal climatology comparisons were also performed separately over the five regions of Asia; i.e., Central Asia, East Asia, South Asia, Southeast Asia, and Western Asia. The results show that XCO2 from GOSAT is higher than the XCO2 simulated by CT by an amount of 0.61 ppm, whereas, OCO-2 XCO2 is lower than CT by 0.31 ppm on average, over Asia. The mean spatial correlations of 0.93 and 0.89 and average Root Mean Square Deviations (RMSDs) of 2.61 and 2.16 ppm were found between the CT and GOSAT, and CT and OCO-2, respectively, implying the existence of a good agreement between the CT and the other two satellites datasets. The spatial distribution of the datasets shows that the larger uncertainties exist over the southwest part of China. Over Asia, NOAA CT shows a good agreement with GOSAT and OCO-2 in terms of spatial distribution, monthly averaged time series, and seasonal climatology with small biases. These results suggest that CO2 can be used from either of the datasets to understand its role in the carbon budget, climate change, and air quality at regional to global scales.
Distribution Transformer Parameters Detection Based on Low-Frequency Noise, Machine Learning Methods, and Evolutionary Algorithm
Authors: Jancarczyk Daniel , Bernaś Marcin , Boczar Tomasz
Published: August 2020

The paper proposes a method of automatic detection of parameters of a distribution transformer (model, type, and power) from a distance, based on its low-frequency noise spectra. The spectra are registered by sensors and processed by a method based on evolutionary algorithms and machine learning. The method, as input data, uses the frequency spectra of sound pressure levels generated during operation by transformers in the real environment. The model also uses the background characteristic to take under consideration the changing working conditions of the transformers. The method searches for frequency intervals and its resolution using both a classic genetic algorithm and particle swarm optimization. The interval selection was verified using five state-of-the-art machine learning algorithms. The research was conducted on 16 different distribution transformers. As a result, a method was proposed that allows the detection of a specific transformer model, its type, and its power with an accuracy greater than 84%, 99%, and 87%, respectively. The proposed optimization process using the genetic algorithm increased the accuracy by up to 5%, at the same time reducing the input data set significantly (from 80% up to 98%). The machine learning algorithms were selected, which were proven efficient for this task.
LdsConv: Learned Depthwise Separable Convolutions by Group Pruning
Authors: Lin Wenxiang , Ding Yan , Wei Hua-Liang , Pan Xinglin , Zhang Yutong
Published: August 2020

Standard convolutional filters usually capture unnecessary overlap of features resulting in a waste of computational cost. In this paper, we aim to solve this problem by proposing a novel Learned Depthwise Separable Convolution (LdsConv) operation that is smart but has a strong capacity for learning. It integrates the pruning technique into the design of convolutional filters, formulated as a generic convolutional unit that can be used as a direct replacement of convolutions without any adjustments of the architecture. To show the effectiveness of the proposed method, experiments are carried out using the state-of-the-art convolutional neural networks (CNNs), including ResNet, DenseNet, SE-ResNet and MobileNet, respectively. The results show that by simply replacing the original convolution with LdsConv in these CNNs, it can achieve a significantly improved accuracy while reducing computational cost. For the case of ResNet50, the FLOPs can be reduced by 40.9%, meanwhile the accuracy on the associated ImageNet increases.
Molecular Characteristics of Rhizobia Isolated from Arachis hypogaea Grown under Stress Environment
Authors: Khalid Rabia , Zhang Xiao Xia , Hayat Rifat , Ahmed Mukhtar
Published: August 2020

The phenotypic and genotypic characterization of eight rhizobial isolates obtained from Arachis hypogaea nodules grown under stress environment was performed. Isolates were screened for their ability to tolerate different abiotic stresses (high temperature (60° C), salinity (1–5% (w/v) NaCl), and pH (1–12). The genomic analysis of 16S rRNA and housekeeping genes (atpD, recA, and glnII) demonstrated that native groundnut rhizobia from these stress soils are representatives of fast growers and phylogenetically related to Rhizobium sp. The phenotypic characterization (generation time, carbon source utilization) also revealed the isolates as fast-growing rhizobia. All the isolates can tolerate NaCl up to 3% and were able to grow between 20 and 37 °C with a pH between 5 to 10, indicating that the isolates were alkali and salt-tolerant. The tested isolates effectively utilize mono and disaccharides as carbon source. Out of eight, three rhizobial isolates (BN-20, BN-23, and BN-50) were able to nodulate their host plant, exhibiting their potential to be used as native groundnut rhizobial inoculum. The plant growth promoting characterization of all isolates revealed their effectiveness to solubilize inorganic phosphate (56–290 µg mL−1), synthesize indole acetic acid (IAA) (24–71 µg mL−1), and amplification of nitrogen fixing nifH gene, exploring their ability to be used as groundnut biofertilizer to enhance yield and N2-fixation for the resource poor farmers of rainfed Pothwar region.
Study on a Prediction Model of Superhighway Fuel Consumption Based on the Test of Easy Car Platform
Authors: He Yong-Ming , Kang Jia , Pei Yu-Long , Ran Bin , Song Yu-Ting
Published: August 2020

To explore the relationship between fuel consumption and speed for a vehicle on a superhighway with a design speed exceeding 120 km/h, the fuel consumption data provided by the Test of Easy Car platform are used to fit the fuel consumption of different models. The fitting results show that the fitting degree of fuel consumption by a cubic curve is the highest, and the correlation coefficient is above 0.95. A fuel consumption cubic curve model of different vehicle types is established by using the fitting parameters to predict the fuel consumption when a vehicle is running at a speed of 130 km/h–180 km/h. The prediction results show that the average fuel consumption of compact vehicles is the lowest when a vehicle is running on a superhighway at speeds of 130 km/h–180 km/h, with values of 8.95 L/100 km–16.26 L/100 km; the average fuel consumption of sport utility vehicles (SUVs) is the highest, with values of 12.65 L/100 km–22.70 L/100 km. The prediction results can be used to estimate the cost of using a superhighway and provide a basis for estimating the feasibility of superhighways.
Does Land-Use Policy Moderate Impacts of Climate Anomalies on LULC Change in Dry-Lands? An Empirical Enquiry into Drivers and Moderators of LULC Change in Southern Ethiopia
Authors: Arficho Misginaw , Thiel Andreas
Published: August 2020

The study set out to understand drivers of Land-Use Land Cover (LULC) changes in dry-land areas and investigate factors helping mitigate the adverse impacts of climate anomalies on LULC changes. By employing a mixed-methods design, it combined LULC data with socioeconomic and climatic data, to analyze the pattern of LULC changes and its socioeconomic and climatic driving forces along with moderating factors. It was found that rangeland decreased by 764 km2 (13% of total area) between 1986 and 2015. The results from the Seemingly Unrelated time series regression models confirmed preliminary evidence that climate variability, as well as adaptive land-use policies lacking components of sustainability increase the likelihood of degradation and contraction of rangelands. We also found an indication from the qualitative data that a widening power gap between the customary and statutory governance system reinforces unsustainable land use by obscuring the values of the customary land governance system. However, those policies encompassing economic and natural resource development objectives abate adverse effects of climate variability on land degradation and shrinkage of rangelands. The results suggest that a land governance system with natural resource development objectives fitting to the local context could be an effective policy instrument to lessen the adverse effects of climate anomalies on LULC changes. Although this study focused on analyzing the LULC changes and its drivers in dry-land area, the findings may well have a bearing on the formulation and implementation of effective adaptation and sustainable land-use policies.
The Sustainable Development of Organic Agriculture-Tourism: The Role of Consumer Landscape and Pro-Environment Behavior
Authors: Xue Lin-Lin , Chang Yen-Rung , Shen Ching-Cheng
Published: August 2020

The purpose of this study is to explore the influence path of organic agricultural landscape on tourists’ pro-environment behavior and loyalty, and put forward suggestions for realizing sustainable tourism of organic agriculture. The M-R model was employed to construct an integrated model of the influence of consumer landscape on pro-environment behavior and loyalty in organic agricultural tourism. The research framework and questionnaire design were constructed on the basis of literature review and 417 valid questionnaires which were collected from tourists in Eastern Taiwan (Hualien and Taidong). SPSS was employed to analyze the reliability and validity of the questionnaire and LISREL software was used to identify the influence path between variables. The results showed that: 1. The tourists’ cognition of consumer landscape will positively affect the environmental intimacy and environmental identity. 2. Tourists’ environmental intimacy and environmental identity will increase their pro-environmental behavior. 3. Tourists’ pro-environment behavior has a positive impact on their loyalty to organic agricultural tourism. The results show that organic agricultural tourism can stimulate tourists to understand the significance, importance and multiple values of the environment, and increase the intimacy and identity of tourists to the environment, which has a great effect on pro-environment behavior and loyalty. At the same time, it also shows that organic agricultural tourism is a sustainable tourism mode, which is worth promoting.
Macro Perspective Research on Transportation Safety: An Empirical Analysis of Network Characteristics and Vulnerability
Authors: Liu Jing , Lu Huapu , Chen Mingyu , Wang Jianyu , Zhang Ying
Published: August 2020

The layout of the China Comprehensive Transportation Corridors and Hubs (CCTCH), depicted in the 13th Five Year Plan of Transportation, revolves around transport integration and economic globalization. With the aim of improving the sustainability of the entire national transportation system, this paper studies the sustainability of the CCTCH from the perspective of network characteristics and network invulnerability. The topological properties of the CCTCH were quantitatively analyzed, based on graph theory and complex network theory. The relationship between the node degree, betweenness, socioeconomic factors (i.e., GDP, population, GDP per capita) and hub type was explored using correlation analysis. A vulnerability assessment model was developed to investigate the influence of node disruption on the whole network, as well as specific origin–destination paths, and a simulation analysis was conducted to examine the variations in the network performances faced with different attack scenarios. The results show that, among several factors, the hub type has a strong relationship with the node degree and a moderate correlation with GDP. We conclude that the CCTCH is relatively fragile from the viewpoint of network efficiency, and for the purpose of international transportation from the domestic border hubs to the economically developed cities.
The Development and Validation of a Scale to Measure University Teachers’ Attitude towards Ethical Use of Information Technology for a Sustainable Education
Authors: Mâță Liliana , Clipa Otilia , Tzafilkou Katerina
Published: August 2020

A self-administered measurement tool was developed and validated to provide data regarding ethical attitude of university teachers for a sustainable education. The research was based on several factors involved in forming attitudes towards the unethical information technology use. The sample: 334 Romanian teachers’ respondents who teach in the higher education system contributed to this research. A successions of factor analyses and structural equation modeling showed that a second-order model is a good fit for experimental data (χ2/df = 1.75, comparative fit index = 0.958, root mean square error of approximation = 0.045), however the partial least square (PLS-SEM) CFA approach revealed higher scores of factor loadings, implying the best fit to the model. This research suggested a structural model of ethical attitude of university teachers, composed by four factors measured by 13 indices. The results demonstrated that PLS-SEM CFA is appropriate for creating a valid structural model to measure university teachers’ ICT ethical attitude. The current research predicted a theoretical contribution to the field of ethical attitude of university teachers within a sustainable education context.
Advanced Intervention Protocol in the Energy Rehabilitation of Heritage Buildings: A Miñones Barracks Case Study
Authors: Etxepare Lauren , Leon Iñigo , Sagarna Maialen , Lizundia Iñigo , Uranga Eneko Jokin
Published: August 2020

Bearing in mind that dwellings generate a high environmental impact, the aim of this research is to improve their energy efficiency. The incorporation of an insulating layer in the extrados of the building envelope is the most effective way of reducing the transmittance of a facade, eliminating thermal bridges, and optimizing its energy consumption. There is no doubt about the effectiveness of this solution in terms of thermal protection. However, this process collides with the preservation of the original composition of buildings with ornate facades. This article presents a protocol for the rehabilitation of ornate facades of historic buildings through the application of an insulating layer on the outside of the walls. The protocol shows that advanced techniques applied with an integrated approach permit compatibility between energy rehabilitation and the preservation of the original value. In addition to applying strategies of a high technological level, the protocol proposes a reflection upon a balanced intervention on ornamental elements, as well as the relationship between the degree of energy improvement of an ornate facade, and the degree of preservation of the original composition. A methodology is established that combines different avant-guard techniques and systems. These include capturing reality in 3D, the Building Information Model (BIM), monitoring, advanced manufacturing, and active and passive solution simulations.
Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence
Authors: How Meng-Leong , Chan Yong Jiet , Cheah Sin-Mei
Published: August 2020

Unabated pressures on food systems affect food security on a global scale. A human-centric artificial intelligence-based probabilistic approach is used in this paper to perform a unified analysis of data from the Global Food Security Index (GFSI). The significance of this intuitive probabilistic reasoning approach for predictive forecasting lies in its simplicity and user-friendliness to people who may not be trained in classical computer science or in software programming. In this approach, predictive modeling using a counterfactual probabilistic reasoning analysis of the GFSI dataset can be utilized to reveal the interplay and tensions between the variables that underlie food affordability, food availability, food quality and safety, and the resilience of natural resources. Exemplars are provided in this paper to illustrate how computational simulations can be used to produce forecasts of good and bad conditions in food security using multi-variant optimizations. The forecast of these future scenarios is useful for informing policy makers and stakeholders across domain verticals, so they can make decisions that are favorable to global food security.
Maize Straw Strip Mulching as a Replacement for Plastic Film Mulching in Maize Production in a Semiarid Region
Authors: Lan Xuemei , Chai Shouxi , Coulter Jeffrey A. , Cheng Hongbo , Chang Lei , Huang Caixia , Li Rui , Chai Yuwei , Li Yawei , Ma Jiantao , Li Li
Published: August 2020

Straw strip mulching in maize (Zea mays L.) production is showing a positive effect with the increasing negative effects coming from crop straw and plastic film residues. Therefore, it is imperative to develop comprehensive utilization of straw, and promote the green development of agriculture in rainfed regions. A dryland field experiment was conducted in semiarid northwestern China in 2017 and 2018 and included three treatments: maize straw strip mulching with alternating strips of mulched and non-mulched soil (MSSM), and double ridge-furrow fully mulched soil with white or black plastic film (DRWP or DRBP, respectively). The results show that the interaction between mulching treatment and year significantly influenced maize silage yield, grain yield, biomass yield, aboveground plant water content at silage maize harvest stage, ears ha−1, kernels ear−1, and thousand kernel weight (p < 0.001, p = 0.002, p < 0.001, p < 0.001, p < 0.001, p < 0.001, p < 0.001, and p < 0.001, respectively). For silage, maize growth under straw strip mulching was greater than that of the double ridge mulching system. Silage yield of MSSM was significantly higher than that of DRWP and DRBP, but maize grain and biomass yields under MSSM were significantly lower those under DRWP and DRBP in 2017 and 2018. Compared with the double ridge mulching system, net economic return from silage with MSSM was significantly increased by 28.31% and 20.85% in 2017 and 2018, respectively, and net economic return from grain was 6.67% lower in 2017 and 2.34% higher in 2018. The MSSM treatment exhibited water-temperature coupling; the MSSM treatment significantly reduced soil temperature in the 0–25 cm soil layer by 1.23–2.14 °C and increased soil water storage in the 0–200 cm soil layer by 9.75 and 24.10 mm in 2017 and 2018, respectively, thereby delaying growth development of maize by about 13 days. Therefore, straw mulch can replace plastic film mulch and serve as an environmentally friendly cultivation method for maize in semiarid rainfed regions.
Sustainability Considerations in Water–Energy–Food Nexus Research in Irrigated Agriculture
Authors: Hamidov Ahmad , Helming Katharina
Published: August 2020

Irrigated agriculture is essential to satisfying the globally increasing demand for food and bio-based products. Yet, in water scarce regions, water-use for irrigation aggravates the competition for the use of water for other purposes, such as energy production, drinking water and sanitation. Solutions for sustainable food production through irrigated agriculture require a systemic approach to assess benefits and trade-offs across sectors. Here, the water–energy–food (WEF) nexus has become an important concept in natural resource management. It has been conceptualized to analyze linkages and trade-offs between the three sectors, across temporal and spatial scales. However, the concept has so far mainly been conceptual, with little empirical evidence or proof of concept in real world cases. The objective of this paper was to take stock of the rapidly advancing literature on the WEF nexus in irrigated agriculture, and to analyze how the concept was actually implemented in research studies, and how the nexus between water, food and energy was actually dealt with. The study period ranges from 2011 to 2019, and includes 194 articles. Results showed that the WEF nexus is indeed very relevant in irrigated agriculture, and the respective literature makes up one third of all WEF nexus papers. Modeling and empirical research have caught up with conceptual synthesis studies during the last four years, thereby indicating that the WEF nexus concept is indeed increasingly operationalized. However, most studies addressed the WEF nexus from a perspective of either socioeconomic, technological or environmental categories, and they place one of the dimensions of water, food or energy into the foreground. To address sustainable development, there is a need to fully integrate across research disciplines and thematic dimensions. Such studies are only starting to emerge. These findings are an important evidence-base for future WEF nexus research on irrigated agriculture, in support of sustainable solutions for water scarce regions, especially in settings undergoing transformations.
Insulating Organic Material as a Protection System against Late Frost Damages on the Vine Shoots
Authors: Di Giuseppe Alessia , Gambelli Alberto Maria , Rossi Federico , Nicolini Andrea , Ceccarelli Nicola , Palliotti Alberto
Published: August 2020

Late frosts are one of the major impact factors on agriculture worldwide with large economic losses for agricultural crops, with a significant impact also in wine production. Given the importance of the wine sector in the world, more and more efforts are being made to identify innovative techniques capable of creating a low-cost and effective protection for vine shoots, as well as reducing energy consumption. In a previous work, cotton candy was identified as an insulating material to solve the problems related to late frosts on vineyards and limit its damages as much as possible. From the results of the previous research, it has proved that cotton candy is an excellent thermal insulator, but it degrades quickly in windy conditions. Thus, climatic tests carried out in windy condition showed that straw can greatly slow down the degradation of cotton candy over time, giving an indirect contribution to the protective effectiveness of cotton candy. In addition, several tests were conducted with different amounts of sugar and straw without wind to evaluate whether the straw can itself make a contribution in terms of thermal insulation, as well as contribute to the protective effectiveness of cotton candy, minimizing energy use as well.
Ultra-Processed Foods and Food System Sustainability: What Are the Links?
Authors: Fardet Anthony , Rock Edmond
Published: August 2020

Global food systems are no longer sustainable for health, the environment, animal biodiversity and wellbeing, culinary traditions, socioeconomics, or small farmers. The increasing massive consumption of animal foods has been identified as a major determinant of unsustainability. However, today, the consumption of ultra-processed foods (UPFs) is also questioned. The main objective of this review is therefore to check the validity of this new hypothesis. We first identified the main ingredients/additives present in UPFs and the agricultural practices involved in their provision to agro-industrials. Overall, UPF production is analysed regarding its impacts on the environment, biodiversity, animal wellbeing, and cultural and socio-economic dimensions. Our main conclusion is that UPFs are associated with intensive agriculture/livestock and threaten all dimensions of food system sustainability due to the combination of low-cost ingredients at purchase and increased consumption worldwide. However, low-animal-calorie UPFs do not produce the highest greenhouse gas emissions (GHGEs) compared to conventional meat and dairy products. In addition, only reducing energy dense UPF intake, without substitution, might substantially reduce GHGEs. Therefore, significant improvement in food system sustainability requires urgently encouraging limiting UPF consumption to the benefit of mildly processed foods, preferably seasonal, organic, and local products.
Shaking Stability: COVID-19 Impact on the Visegrad Group Countries’ Financial Markets
Authors: Czech Katarzyna , Wielechowski Michał , Kotyza Pavel , Benešová Irena , Laputková Adriana
Published: August 2020

The recent outbreak of the coronavirus pandemic has made a significant impact on the global financial markets. The aim of this paper is to assess the short-term reaction of the Visegrad countries’ financial markets to the COVID-19 pandemic. The Visegrad Group is a political alliance of four Central European countries, namely Czechia, Hungary, Poland, and Slovakia. The financial assessment is based on the EUR/CZK, EUR/HUF, and EUR/PLN exchange rates and the major blue-chip stock market indices, that is Prague PX, Budapest BUX, Warsaw WIG20, and Bratislava SAX. It is evident that the ongoing pandemic has changed the expectations of the financial market participants about the future value of exchange rates in the Visegrad countries. This study indicates that, as a consequence of COVID-19, higher probability has been attached to the large depreciation of the Czech koruna (CZK), the Hungarian forint (HUF), and the Polish zloty (PLN) than to their large appreciation. Moreover, based on the TGARCH model, the positive and significant correlation between the number of reported COVID-19 cases and the exchange rates has been confirmed, implying that the ongoing pandemic has resulted in the depreciation of the Visegrad currencies. Additionally, the result of the TGARCH model reveals that there is a significant and negative link between the Visegrad stock market indices and the COVID-19 spread.
The Use of Fuzzy Linear Regression and ANFIS Methods to Predict the Compressive Strength of Cement
Authors: Gkountakou Fani , Papadopoulos Basil
Published: August 2020

In this paper, the prediction of compressive cement strength using the fuzzy linear regression (FLR) and adaptive neuro-fuzzy inference system (ANFIS) methods was studied. Specifically, an accurate prediction method is needed as the modeling of cement strength is a difficult task, which is based on its composite nature. However, many approaches are widely implemented in strength-predicting problems, such as the artificial neural network (ANN), Mamdani fuzzy rules in MATLAB, FLR and ANFIS models. Applying these methods and comparing the results with the corresponding observed ones, we concluded that the ANFIS method successfully decreased the level of uncertainty in predicting cement strength, as the average percentage error level was extremely low. Although the FLR method had the highest average percentage error level compared with the other methods, it provides a standard equation to estimate the output values by using symmetric triangular fuzzy numbers and determines the most important factor in increasing compressive strength, in contrast to ANFIS and ANN, which are black box models, and to the fuzzy method, which uses rules without providing the specific way by which the results come out. Thus, ANFIS and FLR are appropriate methods for dealing with engineering mathematical models by using fuzzy logic.
Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by Mass Spectrometry
Authors: Wandernoth Petra , Kriegsmann Katharina , Groh-Mohanu Cristina , Daeumer Martin , Gohl Peter , Harzer Oliver , Kriegsmann Mark , Kriegsmann Joerg
Published: August 2020

Background: Amplification of viral ribonucleic acid (RNA) by real-time reverse transcriptase polymerase chain reaction (rRT-PCR) is the gold standard to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the initial outbreak, strategies to detect and isolate patients have been important to avoid uncontrolled viral spread. Although testing capacities have been upscaled, there is still a need for reliable high throughput test systems, specifically those that require alternative consumables. Therefore, we tested and compared two different methods for the detection of viral PCR products: rRT-PCR and mass spectrometry (MS). Methods: Viral RNA was isolated and amplified from oro- or nasopharyngeal swabs. A total of 22 samples that tested positive and 22 samples that tested negative for SARS-CoV-2 by rRT-PCR were analyzed by MS. Results of the rRT-PCR and the MS protocol were compared. Results: Results of rRT-PCR and the MS test system were in concordance in all samples. Time-to-results was faster for rRT-PCR. Hands-on-time was comparable in both assays. Conclusions: MS is a fast, reliable and cost-effective alternative for the detection of SARS-CoV-2 from oral and nasopharyngeal swabs.
Remediation of Anthracene-Contaminated Soil with Sophorolipids-SDBS-Na2SiO3 and Treatment of Eluting Wastewater
Authors: Li Wei , Wang Xiaofeng , Shi Lixiang , Du Xianyuan , Wang Zhansheng
Published: August 2020

The soil pollution of polycyclic aromatic hydrocarbons (PAHs) is serious in China, which not only affects the living and growing environment of plants and animals but also has a great impact on people’s health. The use of hydrophobic organic compounds to make use of surfactant ectopic elution processing is more convenient and cheaper as a repair scheme and can effectively wash out the polycyclic aromatic hydrocarbons in the soil. Therefore, we mixed sophorolipids:sodium dodecylbenzene sulfonate (SDBS):Na2SiO3 according to the mass ratio of 1:15:150. We explored the influencing factors of high and low concentrations of PAH-contaminated soil using a single factor test and four factors at a two-level factorial design. Then, the elution wastewater was treated by ultrasonic oxidation technology and the alkali-activated sodium persulfate technology. The results showed that: (1) In the single factor test, when the elution time is 8 h, the concentration of the compounded surfactant is 1200 mg/L, the particle size is 60 mesh, the concentration of NaCl is 100 mmol/L, and the concentration of KCl is 50 mmol/L, and the effect of the PAH-contaminated soil eluted by the composite surfactant is the best. Externally added NaCl and KCl salt ions have a more obvious promotion effect on the polycyclic aromatic hydrocarbon-contaminated soil; (2) in the interaction experiment, single factor B (elution time) and D (NaCl concentration) have a significant main effect. There is also a certain interaction between factor A (concentration agent concentration) and factor D, factor B, and factor C (KCl concentration); (3) the treatment of anthracene in the eluate by ultrasonic completely mineralizes the organic pollutants by the thermal and chemical effects produced by the ultrasonic cavitation phenomenon, so that the organic pollutants in the eluate are oxidized and degraded into simple environmentally friendly small molecular substances. When the optimal ultrasonic time is 60 min and the ratio of oxidant to activator is 1:2, the removal rate of contaminants in the eluent can reach 63.7%. At the same time, the turbidity of the eluent is significantly lower than that of the liquid after centrifugal separation, indicating that oxidants can not only remove the pollutants in elution water but also remove the residual soil particulate matter; and (4) by comparing the infrared spectrum of the eluted waste liquid before and after oxidation, it can be seen that during the oxidation process, the inner part of eluent waste liquid underwent a ring-opening reaction, and the ring-opening reaction also occurred in the part of the cyclic ester group of the surfactant, which changed from a ring to non-ring.
Transport Mechanism of Suspended Sediments and Migration Trends of Sediments in the Central Hangzhou Bay
Authors: Song Zekun , Shi Weiyong , Zhang Junbiao , Hu Hao , Zhang Feng , Xu Xuefeng
Published: August 2020

Based on the 2013 field survey data of hydrology, suspended sediments and bottom sediments in the Central Hangzhou Bay, this paper explores the dynamic mechanism of suspended sediments in Hangzhou Bay by employing material flux decomposition. Meanwhile, the migration trends of bed sediments are also investigated by analyzing grain size trends. The results show that during an ebb or flood tide, the hydrograph of suspended sediment concentration of Hangzhou Bay is dominated by an M shape (bimodal), which is attributed primarily to the generation of a soft mud layer and a separate fluid mud layer. Laterally, the distribution of suspended sediment concentration is high in the south and low in the north. From a macroscopic perspective, the net sediment transport in the study area displays a “north-landward and south-seaward” trend, presenting a “C”-shaped transport mode. That is, the sediments are transported from the bay mouth to the bay head on the north side and from the bay head to the bay mouth on the south side. The sediment transports by advection and tidal pumping are predominant, while the sediment transport by vertical circulation makes little contribution to the total sediment transport. Moreover, the sediment transport in the center of the reach area is dominated by advection, whereas that near both sides of the banks is controlled by tidal pumping. The asymmetry of the tides, i.e., flood-dominance in the north and ebb-dominance in the south, is the primary cause of the dynamic mechanism for the overall “C”-shaped transport mode in Hangzhou Bay. Additionally, coupled with the narrow-head wide-mouth geomorphology, Hangzhou Bay remains evolving by south shore silting and north shore scouring.
Rapidly Accelerating Deforestation in Cambodia’s Mekong River Basin: A Comparative Analysis of Spatial Patterns and Drivers
Authors: Lohani Sapana , Dilts Thomas , Weisberg Peter , Null Sarah , Hogan Zeb
Published: August 2020

The Mekong River is a globally important river system, known for its unique flood pulse hydrology, ecological productivity, and biodiversity. Flooded forests provide critical terrestrial nutrient inputs and habitat to support aquatic species. However, the Mekong River is under threat from anthropogenic stressors, including deforestation from land cultivation and urbanization, and dam construction that inundates forests and encourages road development. This study investigated spatio-temporal patterns of deforestation in Cambodia and portions of neighboring Laos and Vietnam that form the Srepok–Sesan–Sekong watershed. A random forest model predicted tree cover change over a 25-year period (1993–2017) using the Landsat satellite archive. Then, a statistical predictive deforestation model was developed using annual-resolution predictors such as land-cover change, hydropower development, forest fragmentation, and socio-economic, topo-edaphic and climatic predictors. The results show that almost 19% of primary forest (nearly 24,000 km2) was lost, with more deforestation in floodplain (31%) than upland (18%) areas. Our results corroborate studies showing extremely high rates of deforestation in Cambodia. Given the rapidly accelerating deforestation rates, even in protected areas and community forests, influenced by a growing population and economy and extreme poverty, our study highlights landscape features indicating an increased risk of future deforestation, supporting a spatial framework for future conservation and mitigation efforts.
Temporal and Spatial Variations of Chlorophyll a Concentration and Eutrophication Assessment (1987–2018) of Donghu Lake in Wuhan Using Landsat Images
Authors: Yang Xujie , Jiang Yan , Deng Xuwei , Zheng Ying , Yue Zhiying
Published: August 2020

Chlorophyll a (Chl-a) concentration, which reflects the biomass and primary productivity of phytoplankton in water, is an important water quality parameter to assess the eutrophication status of water. The band combinations shown in the images of Donghu Lake (Wuhan City, China) captured by Landsat satellites from 1987 to 2018 were analyzed. The (B4 − B3)/(B4 + B3) [(Green − Red)/(Green + Red)] band combination was employed to construct linear, power, exponential, logarithmic and cubic polynomial models based on Chl-a values in Donghu Lake in April 2016. The correlation coefficient (R2), the relative error (RE) and the root mean square error (RMSE) of the cubic model were 0.859, 9.175% and 11.194 μg/L, respectively and those of the validation model were 0.831, 6.509% and 19.846μg/L, respectively. Remote sensing images from 1987 to 2018 were applied to the model and the spatial distribution of Chl-a concentrations in spring and autumn of these years was obtained. At the same time, the eutrophication status of Donghu Lake was monitored and evaluated based on the comprehensive trophic level index (TLI). The results showed that the TLI (∑) of Donghu Lake in April 2016 was 63.49 and the historical data on Chl-a concentration showed that Donghu Lake had been eutrophic. The distribution of Chl-a concentration in Donghu Lake was affected by factors such as construction of bridges and dams, commercial activities and enclosure culture in the lake. The overall distribution of Chl-a concentration in each sub-lake was higher than that in the main lake region and Chl-a concentration was highest in summer, followed by spring, autumn and winter. Based on the data of three long-term (2005–2018) monitoring points in Donghu Lake, the matching patterns between meteorological data and Chl-a concentration were analyzed. It revealed that the Chl-a concentration was relatively high in warmer years or rainy years. The long-term measured data also verified the accuracy of the cubic model for Chl-a concentration. The R2, RE and RMSE of the validation model were 0.641, 2.518% and 22.606 μg/L, respectively, which indicated that it was feasible to use Landsat images to retrieve long-term Chl-a concentrations. Based on longitudinal remote sensing data from 1987 to 2018, long-term and large-scale dynamic monitoring of Chl-a concentrations in Donghu Lake was carried out in this study, providing reference and guidance for lake water quality management in the future.