bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of Iron Storage Markers with Metabolic Syndrome and Its Components in Chinese Rural 6–12 Years Old Children: The 2010–2012 China National Nutrition and Health Survey
Authors: Zhang Huidi , Wang Lijuan , Li Siran , Liu Xiaobing , Li Yuqian , He Yuna , Man Qingqing , Yang Lichen
Published: May 2020

Background: Elevated ferritin, which is often used to represent iron storage, is known to increase the risk of metabolic syndrome (MetS) or its components, but its increase is affected by many factors. Therefore, it is necessary to analyze the relationship between other indicators of iron storage, and MetS and its components in order to fully understand the role of iron in the occurrence and development of these diseases. Although there are many studies to analyze the relationship involved in adults and adolescents, in children there is limited research. In this study, we aim to estimate the association of whole blood iron, ferritin, and total body iron with metabolic syndrome, and especially its components in Chinese rural children aged 6–12 years old. Method: A total of 1333 children aged 6–12 years old were enrolled from the 2010–2012 China National Nutrition and Health Survey in this study. Markers of iron storage (whole blood iron, ferritin, and total body iron (TBI)) and MetS component parameters (waist, blood pressure, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and fast glycose) were collected. A multivariate logistic regression analysis was performed to confirm the independent relationship between iron storage markers, and the incident of metabolic syndrome and its components. Results: After adjusting for age, gender, C-reactive protein (CRP), and body mass index (BMI), a negative association was found between whole blood iron, ferritin, and TBI and incidence of reduced HDL-C (odds ratio (OR) = 0.63, 0.49, and 0.57, respectively). The highest tertile of whole blood iron increased the risk of the incidence of hyperglycemia (OR = 1.74), while TBI decreased the risk by 61%. No significant association was found between ferritin tertiles and the incidence of hyperglycemia. Conclusion: An iron storage level within the normal range in children is associated with a risk of MetS components, especially in hyperglycemia and reduced HDL-C. The relationship between the three iron indexes and metabolic syndrome and its components is not completely consistent, which suggests that the underlying mechanism is complex and needs to be further explored.
Fabrication of Transgelosomes for Enhancing the Ocular Delivery of Acetazolamide: Statistical Optimization, In Vitro Characterization, and In Vivo Study
Authors: Mazyed Eman A. , Abdelaziz Abdelaziz E.
Published: May 2020

Acetazolamide (ACZ) is a potent carbonic anhydrase inhibitor that is used for the treatment of glaucoma. Its oral administration causes various undesirable side effects. This study aimed to formulate transgelosomes (TGS) for enhancing the ocular delivery of ACZ. ACZ-loaded transfersomes were formulated by the ethanol injection method, using phosphatidylcholine (PC) and different edge activators, including Tween 80, Span 60, and Cremophor RH 40. The effects of the ratio of lipid to surfactant and type of surfactant on % drug released after 8 h (Q8h) and entrapment efficiency (EE%) were investigated by using Design-Expert software. The optimized formula was formulated as TGS, using poloxamers as gelling agents. In vitro and in vivo characterization of ACZ-loaded TGS was performed. According to optimization study, F8 had the highest desirability value and was chosen as the optimized formula for preparing TGS. F8 appeared as spherical elastic nanovesicles with Q8h of 93.01 ± 3.76% and EE% of 84.44 ± 2.82. Compared to a free drug, TGS exhibited more prolonged drug release of 71.28 ± 0.46% after 8 h, higher ex vivo permeation of 66.82 ± 1.11% after 8 h and a significant lowering of intraocular pressure (IOP) for 24 h. Therefore, TGS provided a promising technique for improving the corneal delivery of ACZ.
Bioprocessing of Squid Pens Waste into Chitosanase by Paenibacillus sp. TKU047 and Its Application in Low-Molecular Weight Chitosan Oligosaccharides Production
Authors: Doan Chien Thang , Tran Thi Ngoc , Nguyen Van Bon , Tran Trung Dung , Nguyen Anh Dzung , Wang San-Lang
Published: May 2020

Chitosan oligosaccharide (COS) has become of great interest in recent years because of its worthy biological activities. This study aims to produce COS using the enzymatic method, and investigates Paenibacillus sp. TKU047, a chitinolytic-producing strain, in terms of its chitosanase productivity on several chitinous material-containing mediums from fishery process wastes. The highest amount of chitosanase was produced on the medium using 2% (w/v) squid pens powder (0.60 U/mL) as the single carbon and nitrogen (C/N) source. The molecular mass of TKU047 chitosanase, which could be the smallest one among chitinases/chitosanases from the Paenibacillus genus, was approximately 23 kDa according to the sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) method. TKU047 chitosanase possessed the highest activity at 60 °C, pH 7, and toward chitosan solution with a higher degree of deacetylation (DDA) value. Additionally, the hydrolysis products of 98% DDA chitosan catalyzed by TKU047 chitosanase showed the degree of polymerization (DP) ranging from 2 to 9, suggesting that it was an endo-type activity chitosanase. The free radical scavenging activity of the obtained chitosan oligosaccharide (COS) was determined. The result showed that COS produced with Paenibacillus sp. TKU047 chitosanase expressed a higher 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity than that from the commercial COSs with maximum activity and IC50 values of 81.20% and 1.02 mg/mL; 18.63% and 15.37 mg/mL; and 15.96% and 15.16 mg/mL, respectively. As such, Paenibacillus sp. TKU047 may have potential use in converting squid pens waste to produce chitosanase as an enzyme for bio-activity COS preparation.
The Sound of ”Quaternary”
Authors: Vandenberghe Jef
Published: May 2020

It is useful to re-consider at specific times the strategy of a journal. Some thoughts are expressed here at the occasion of the renewal of the editorship of ”Quaternary”. No changes are envisaged in the multidisciplinary character of the journal. In addition, it is felt necessary to increasingly attract the creative input from underrepresented researchers in Quaternary science (e.g., young scientists, female scientists, scientists from weakly developed countries).
Understanding the Letter to the Romans in the Sect-Cult Development of Early Churches
Authors: Kim Jin Young
Published: May 2020

This article examines how the model of sect-cult development in antiquity helps us understand Paul’s discussion of Jewish traditions in the Letter to the Romans. In the traditional Augustinian–Lutheran scholarship, Romans has often been interpreted within the binary framework of Judaism and Christianity, as Paul showcasing one of the earliest examples of Christian opposition to Judaism. Based on the recent studies on Second Temple Judaism and the modified model of sect-cult reflecting the ancient context, I argue that Romans reveals internal conflicts between cultic and sectarian tendencies present among early churches of the first century C.E. The cultic tendency is reflected in Roman gentile believers’ assimilation of the Jewish tradition with the Greco–Roman virtue of self-mastery and their growing separation from Judaism. Paul, on the other hand, tries to establish the unity between believing gentiles and Israel as exhibiting his sectarian understanding of the gospel and the gentile mission. By placing Romans in the trajectory of sect-cult development of an early church, we stop reading it as a text that justifies the Christian antagonism to Judaism, but as a text that shows an early apostle’s passionate effort to create a unified people of God in the hope for the final salvation.
Measurement of Cloud Top Height: Comparison of MODIS and Ground-Based Millimeter Radar
Authors: Huo Juan , Li Jie , Duan Minzheng , Lv Daren , Han Congzheng , Bi Yongheng
Published: May 2020

Cloud top height (CTH) is an essential pareter for the general circulation model in understanding the impact of clouds on the Earth’s radiation budget and global climate change. This paper compares the CTH products, derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), onboard the Aqua and Terra satellites with ground-based Ka band radar data in Beijing from 2014 to 2017. The aim was to investigate the data accuracy and the difference in CTH measurements between passive satellite data and active ground-based radar data. The results show that MODIS, on average, underestimates CTH relative to radar by −1.08 ± 2.48 km, but with a median difference of −0.65 km and about 48% of differences are within 1 km. Statistically, MODIS CTHs which are greater than 6 km show lower discrepancy to radar CTH than those of MODIS CTHs less than 4 km. The CTH difference is independent of cloud fraction and cloud layer. It shows strong dependence on cloud depth, decreasing as cloud depth increases. There is a tendency for MODIS to underestimate high thin clouds but overestimate low thin clouds relative to radar. Total ozone, SO2, CO, NO2, aerosol PM10, total water vapor and temperature inversion show unobvious influences in the CTH discrepancy. It is shown that the MODIS CO2-slicing technique performs much better than IRW (infrared window) technique when cloud layer is higher than 2 km. The average difference calculated from all comparisons by CO2-slicing technique and IRW technique is 0.09 ± 1.58 km, and −2.20 ± 2.73 km, respectively.
Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine
Authors: Inoue Shimpei , Ito Akihiko , Yonezawa Chinatsu
Published: May 2020

Paddy fields play very important environmental roles in food security, water resource management, biodiversity conservation, and climate change. Therefore, reliable broad-scale paddy field maps are essential for understanding these issues related to rice and paddy fields. Here, we propose a novel paddy field mapping method that uses Sentinel-1 synthetic aperture radar (SAR) time series that are robust for cloud cover, supplemented by Sentinel-2 optical images that are more reliable than SAR data for extracting irrigated paddy fields. Paddy fields were provisionally specified by using the Sentinel-1 SAR data and a conventional decision tree method. Then, an additional mask using water and vegetation indexes based on Sentinel-2 optical images was overlaid to remove non-paddy field areas. We used the proposed method to develop a paddy field map for Japan in 2018 with a 30 m spatial resolution. The producer’s accuracy of this map (92.4%) for non-paddy reference agricultural fields was much higher than that of a map developed by the conventional method (57.0%) using only Sentinel-1 data. Our proposed method also reproduced paddy field areas at the prefecture scale better than existing paddy field maps developed by a remote sensing approach.
An Improved Ground Control Point Configuration for Digital Surface Model Construction in a Coal Waste Dump Using an Unmanned Aerial Vehicle System
Authors: Ren He , Zhao Yanling , Xiao Wu , Wang Xin , Sui Tao
Published: May 2020

Coal production in opencast mining generates substantial waste materials, which are typically delivered to an on-site waste dump. As a large artificial loose pile, such dumps have a special multi-berm structure accompanied by some security issues due to wind and water erosion. Highly accurate digital surface models (DSMs) provide the basic information for detection and analysis of elevation change. Low-cost unmanned aerial vehicle systems (UAS) equipped with a digital camera have become a useful tool for DSM reconstruction. To achieve high-quality UAS products, consideration of the number and configuration of ground control points (GCPs) is required. Although increasing of GCPs will improve the accuracy of UAS products, the workload of placing GCPs is difficult and laborious, especially in a multi-berm structure such as a waste dump. Thus, the aim of this study is to propose an improved GCPs configuration to generate accurate DSMs of a waste dump to obtain accurate elevation information, with less time and fewer resources. The results of this study suggest that: (1) the vertical accuracy of DSMs is affected by the number of GCPs and their configuration. (2) Under a set number of GCPs, a difference of accuracy is obtained when the GCPs are located on different berms. (3) For the same number of GCPs, the type 4 (GCPs located on the 1st and 4th berms) in the study is the best configuration for higher vertical accuracy compared with other types. The principal objective of this study provides an effective GCP configuration for DSM construction of coal waste dumps with four berms, and also a reference for engineering piles using multiple berms.
Unmanned Aerial Systems (UAS)-Based Methods for Solar Induced Chlorophyll Fluorescence (SIF) Retrieval with Non-Imaging Spectrometers: State of the Art
Authors: Vargas Juan Quirós , Bendig Juliane , Mac Arthur Alasdair , Burkart Andreas , Julitta Tommaso , Maseyk Kadmiel , Thomas Rick , Siegmann Bastian , Rossini Micol , Celesti Marco , Schüttemeyer Dirk , Kraska Thorsten , Muller Onno , Rascher Uwe
Published: May 2020

Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of the close relationship it has with the photosynthetic activity. The unmanned aerial systems (UAS)-based assessment of solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, has the potential to provide spatio-temporal photosynthetic performance information at field scale. The objective of this manuscript is to report the main advances in the development of UAS-based methods for SIF retrieval with non-imaging spectrometers through the latest scientific contributions, some of which are being developed within the frame of the Training on Remote Sensing for Ecosystem Modelling (TRuStEE) program. Investigations from the Universities of Edinburgh (School of Geosciences) and Tasmania (School of Technology, Environments and Design) are first presented, both sharing the principle of the spectroradiometer optical path bifurcation throughout, the so called ‘Piccolo-Doppio’ and ‘AirSIF’ systems, respectively. Furthermore, JB Hyperspectral Devices’ ongoing investigations towards the closest possible characterization of the atmospheric interference suffered by orbital platforms are outlined. The latest approach focuses on the observation of one single ground point across a multiple-kilometer atmosphere vertical column using the high altitude UAS named as AirFloX, mounted on a specifically designed and manufactured fixed wing platform: ‘FloXPlane’. We present technical details and preliminary results obtained from each instrument, a summary of their main characteristics, and finally the remaining challenges and open research questions are addressed. On the basis of the presented findings, the consensus is that SIF can be retrieved from low altitude spectroscopy. However, the UAS-based methods for SIF retrieval still present uncertainties associated with the current sensor characteristics and the spatio-temporal mismatching between aerial and ground measurements, which complicate robust validations. Complementary studies regarding the standardization of calibration methods and the characterization of spectroradiometers and data processing workflows are also required. Moreover, other open research questions such as those related to the implementation of atmospheric correction, bidirectional reflectance distribution function (BRDF) correction, and accurate surface elevation models remain to be addressed.
Two New Ways of Documenting Miniature Incisions Using a Combination of Image-Based Modelling and Reflectance Transformation Imaging
Authors: Solem Dag-Øyvind E. , Nau Erich
Published: May 2020

Digital 3D documentation methods such as Image-Based Modelling (IBM) and laser scanning have become increasingly popular for the recording of entire archaeological sites and landscapes, excavations and single finds during the last decade. However, they have not been applied in any significant degree to miniature incisions such as graffiti. In the same period, Reflectance Transformation Imaging (RTI) has become one of the most popular methods used to record and visualize this kind of heritage, though it lacks the benefits of 3D documentation. The aim of this paper is to introduce two new ways of combining IBM and RTI, and to assess these different techniques in relation to factors such as usability, time-efficiency, cost-efficiency and accuracy. A secondary aim is to examine the influence of two different 3D processing software packages on these factors: The widely used MetaShape (MS) and a more expensive option, RealityCapture (RC). The article shows that there is currently no recording technique that is optimal regarding all four aforementioned factors, and the way to record and produce results must be chosen based on a prioritization of these. However, we argue that the techniques combining RTI and IBM might be the overall best ways to record miniature incisions. One of these combinations is time-efficient and relatively cost-efficient, and the results have high usability even though the 3D models generated have low accuracy. The other combination has low time- and cost-efficiency but generates the most detailed 3D models of the techniques tested. In addition to cost-efficiency, the main difference between the 3D software packages tested is that RC is much faster than MS. The accuracy assessment remains inconclusive; while RC generally produces more detailed 3D models than MS, there are also areas of these models where RC creates more noise than MS.
Validation of a Primary Production Algorithm of Vertically Generalized Production Model Derived from Multi-Satellite Data around the Waters of Taiwan
Authors: Lan Kuo-Wei , Lian Li-Jhih , Li Chun-Huei , Hsiao Po-Yuan , Cheng Sha-Yan
Published: May 2020

Basin-scale sampling for high frequency oceanic primary production (PP) is available from satellites and must achieve a strong match-up with in situ observations. This study evaluated a regionally high-resolution satellite-derived PP using a vertically generalized production model (VGPM) with in situ PP. The aim was to compare the root mean square difference (RMSD) and relative percent bias (Bias) in different water masses around Taiwan. Determined using light–dark bottle methods, the spatial distribution of VGPM derived from different Chl-a data of MODIS Aqua (PPA), MODIS Terra (PPT), and averaged MODIS Aqua and Terra (PPA&T) exhibited similar seasonal patterns with in situ PP. The three types of satellite-derived PPs were linearly correlated with in situ PPs, the coefficients of which were higher throughout the year in PPA&T (r2 = 0.61) than in PPA (r2 = 0.42) and PPT (r2 = 0.38), respectively. The seasonal RMSR and bias for the satellite-derived PPs were in the range of 0.03 to 0.09 and −0.14 to −0.39, respectively, which suggests the PPA&T produces slightly more accurate PP measurements than PPA and PPT. On the basis of environmental conditions, the subareas were further divided into China Coast water, Taiwan Strait water, Northeastern upwelling water, and Kuroshio water. The VPGM PP in the four subareas displayed similar features to Chl-a variations, with the highest PP in the China Coast water and lowest PP in the Kuroshio water. The RMSD was higher in the Kuroshio water with an almost negative bias. The PPA exhibited significant correlations with in situ PP in the subareas; however, the sampling locations were insufficient to yield significant results in the China Coast water.
Terahertz Beam Steering Concept Based on a MEMS-Reconfigurable Reflection Grating
Authors: Liu Xuan , Samfaß Lisa , Kolpatzeck Kevin , Häring Lars , Balzer Jan C. , Hoffmann Martin , Czylwik Andreas
Published: May 2020

With an increasing number of applications of terahertz systems in industrial fields and communications, terahertz beamforming and beam steering techniques are required for high-speed, large-area scanning. As a promising means for beam steering, micro-electro-mechanical system (MEMS)-based reflection gratings have been successfully implemented for terahertz beam control. So far, the diffraction grating efficiency is relatively low due to the limited vertical displacement range of the reflectors. In this paper, we propose a design for a reconfigurable MEMS-based reflection grating consisting of multiple subwavelength reflectors which are driven by 5-bit, high-throw electrostatic actuators. We vary the number of the reflectors per grating period and configure the throw of individual reflectors so that the reflection grating is shaped as a blazed grating to steer the terahertz beam with maximum diffraction grating efficiency. Furthermore, we provide a mathematical model for calculating the radiation pattern of the terahertz wave reflected by general reflection gratings consisting of subwavelength reflectors. The calculated and simulated radiation patterns of the designed grating show that we can steer the angle of the terahertz waves in a range of up to ± 56.4 ∘ with a maximum sidelobe level of −10 dB at frequencies from 0.3 THz to 1 THz.
Analysis of the Relationship between Scintillation Parameters, Multipath and ROTI
Authors: Li Chendong , Hancock Craig M. , Hamm Nicholas A. S. , Veettil Sreeja V. , You Chong
Published: May 2020

Global Navigation Satellite System (GNSS) operation can be affected by several environmental factors, of which ionospheric scintillation is one of the most significant. Scintillation is usually characterized by two indices, namely the amplitude scintillation index (S4) and phase scintillation index (σφ). However, these two indices can only be generated by specialized GNSS receivers, which are not widely available all around the world. To popularize the study of scintillation, this article proposes to use more accessible parameters, namely multipath (MP) and rate of change of total electron content index (ROTI), to characterize scintillation. Using GPS data obtained on six days in total from three stations, namely PRU2 and SAO0P located in Sao Paulo, Brazil and SNA0P located in Antarctica, respectively, both the time series plots and 2D maps were generated to investigate the relationship of scintillation indices (S4 and σφ) with MP and ROTI. To prevent the effect of the real multipath error, a 30-degree satellite elevation mask is applied to all the data. As the scintillation indices S4 and σφ have a sampling interval of 1 min, MP and ROTI are calculated with the same sampling interval for a more direct comparison. The results show that the structural similarity (SSIM) and correlation coefficient (CC) between parameters was greater than 0.7 for 70% of outputs. In addition, the variogram and cross-variogram are applied to investigate the spatial structure of the MP, ROTI, S4 and σφ in order to support the results of SSIM and CC. With outputs in three forms, promising spatial and temporal relationships between parameters was observed.
Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers
Authors: Chen Xixiang , Chen Yu
Published: May 2020

This paper proposes a new approach to damage detection of nano-SiO2 concrete-filled glass fiber reinforced polymer (GFRP) tube column using piezoceramic transducers. Stress waves are emitted and received by a pair of piezoceramic transducers embedded in the concrete-filled GFRP tube, and the energy and damage indices at different levels of loading in the tube are obtained by wavelet packet to evaluate the damage degree of GFRP tube nano-SiO2 concrete column. Through the experimental studies, the effects of different nano-SiO2 contents, concrete grades, and superplasticizer on the damage were analyzed to gain load–displacement curves, load–energy index curves, and load–damage index curves. The results show that the wave method can be adopted to monitor the damage of GFRP tube nano-SiO2 concrete column. The specimens with 3% nano-SiO2 content have the smallest energy change rate, indicating that adding 3% nano-SiO2 content into concrete can effectively delay the development of damage. After the addition of superplasticizer, with the increase in the strength grade of concrete, the cracks in the specimen tend to develop slowly, and therefore the specimens have a stronger resistance to damage. The damage of the specimens with the nano-SiO2 content of 1% appeared the latest, while the damage without the nano-SiO2 specimen appeared the fastest. The experimental results show that this method can better monitor the damage of the Nano-SiO2 concrete in the glass fiber reinforced polymer (GFRP) tube.
Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis
Authors: Pan Hongyi , Badawi Diaa , Cetin Ahmet Enis
Published: May 2020

In this paper, we propose a deep convolutional neural network for camera based wildfire detection. We train the neural network via transfer learning and use window based analysis strategy to increase the fire detection rate. To achieve computational efficiency, we calculate frequency response of the kernels in convolutional and dense layers and eliminate those filters with low energy impulse response. Moreover, to reduce the storage for edge devices, we compare the convolutional kernels in Fourier domain and discard similar filters using the cosine similarity measure in the frequency domain. We test the performance of the neural network with a variety of wildfire video clips and the pruned system performs as good as the regular network in daytime wild fire detection, and it also works well on some night wild fire video clips.
Extremely Robust Remote-Target Detection Based on Carbon Dioxide-Double Spikes in Midwave Spectral Imaging
Authors: Kim Sungho , Shin Jungsub , Ahn Joonmo , Kim Sunho
Published: May 2020

Infrared ship-target detection for sea surveillance from the coast is very challenging because of strong background clutter, such as cloud and sea glint. Conventional approaches utilize either spatial or temporal information to reduce false positives. This paper proposes a completely different approach, called carbon dioxide-double spike (CO2-DS) detection in midwave spectral imaging. The proposed CO2-DS is based on the spectral feature where a hot CO2 emission band is broader than that which is absorbed by normal atmospheric CO2, which generates CO2-double spikes. A directional-mean subtraction filter (D-MSF) detects each CO2 spike, and final targets are detected by joint analysis of both types of detection. The most important property of CO2-DS detection is that it generates an extremely low number of false positive caused by background clutter. Only the hot CO2 spike of a ship plume can penetrate atmosphere, and furthermore, there are only ship CO2 plume signatures in the double spikes of different spectral bands. Experimental results using midwave Fourier transform infrared (FTIR) in a remote sea environment validate the extreme robustness of the proposed ship-target detection.
C-MHAD: Continuous Multimodal Human Action Dataset of Simultaneous Video and Inertial Sensing
Authors: Wei Haoran , Chopada Pranav , Kehtarnavaz Nasser
Published: May 2020

Existing public domain multi-modal datasets for human action recognition only include actions of interest that have already been segmented from action streams. These datasets cannot be used to study a more realistic action recognition scenario where actions of interest occur randomly and continuously among actions of non-interest or no actions. It is more challenging to recognize actions of interest in continuous action streams since the starts and ends of these actions are not known and need to be determined in an on-the-fly manner. Furthermore, there exists no public domain multi-modal dataset in which video and inertial data are captured simultaneously for continuous action streams. The main objective of this paper is to describe a dataset that is collected and made publicly available, named Continuous Multimodal Human Action Dataset (C-MHAD), in which video and inertial data stream are captured simultaneously in a continuous way. This dataset is then used in an example recognition technique and the results obtained indicate that the fusion of these two sensing modalities increases the F1 scores compared to using each sensing modality individually.
Conservation and Management Challenges Facing a Medicinal Plant Zanthoxylum chalybeum in Simanjiro Area, Northern Tanzania
Authors: Mbinile Scholastica D. , Munishi Linus K. , Ngondya Issakwisa B. , Ndakidemi Patrick A.
Published: May 2020

The information on the medicinal use, availability, challenges, and future conservation strategies for the medicinal plant Zanthoxylum chalybeum were gathered by using a semi-structured questionnaire, focused group discussions, and field observations in Simanjiro Area, Tanzania. Data were collected from local village members who were familiar with the tree and the key informants. Data were analyzed using Statistical Package for the Social Sciences (SPSS). The extent of use was found to be very high, with more than three-quarters of harvested parts used for treating women’s health system (86.4%). The most used plant parts for medicinal purposes were reported to be the roots and the stem bark (90.3% and 81.6%, respectively), possibly suggesting mortality caused by heavy harvesting. In addition to unsustainable harvesting methods, minimal and unpredictable propagation methods were the key factors affecting the recruitment rate, with perhaps an addition of continued climate and land-use change (93.2%), indicative of low precipitation and high agriculture and settlement expansions. Given these challenges, the future conservation and persistence of Z. chalybeum looks uncertain, which requires such measures as the provision of education and awareness and ensuring proper land-use plans that encompass active recruitment of the species in these areas.
Holiday Hunger and Parental Stress: Evidence from North East England
Authors: Stretesky Paul B. , Defeyter Margaret Anne , Long Michael A. , Ritchie Liesel A. , Gill Duane A.
Published: May 2020

Summer is a stressful time of year for many parents as they struggle to meet household expenses and feed children. The aim of the present study is to determine if there is an association between summertime food insecurity (i.e., holiday hunger) and parental stress among a sample of UK parents with school age children living in North East England. A cross-sectional sample of (n = 252) parents are analyzed using holiday hunger as the independent variable and a subjective measure of stress that treats summer as a ‘stressful event’ as the dependent variable. Of the parents in the sample, 64.8% reported at least some level of holiday hunger. We find parents facing any holiday hunger scored substantively higher on the overall 75-point Impact of Event Scale (mean difference = 30.4, 95% confidence interval ((CI) 24.2–36.6), the 35-point intrusion subscale (13.7, 95% CI 10.8–16.5), and the 40-point avoidance subscale (16.7, 95% CI 13.3–20.2). These findings are replicated in a regression analysis. In addition, we find that holiday hunger partially mediates the association between economic hardship (i.e., unemployment and poverty) and parental stress. We conclude by suggesting that government policies addressing economic hardship are not only likely to reduce holiday hunger, but also improve mental wellbeing.
Food Sustainability and Waste Reduction in Spain: Consumer Preferences for Local, Suboptimal, And/Or Unwashed Fresh Food Products
Authors: Gracia Azucena , Gómez Miguel I.
Published: May 2020

Improving food sustainability and reducing food waste are among the top challenges for achieving global sustainable development. In particular, changes towards more sustainable consumption are of vital importance in creating a more sustainable world. To shed light on these issues, we analyze to what extent and how consumers’ food preferences move towards more sustainable behavior. We assess the importance consumers attach to the following critical sustainable attributes of food related to food waste: (i) “Visual imperfections”, (ii) “washed/unwashed”, (iii) “size”, (iv) “locally produced”, and (v) “price”. We hypothesize that consumer preferences for these attributes are heterogeneous. Therefore, we segmented consumers into homogenous groups according to preferences for these sustainability attributes. To do this, we employed a direct ranking preference method using data gathered in an experiment conducted with consumers living in a mid-sized town in the northeast of Spain in 2018. The results suggest a high degree of consumer heterogeneity, and we identified four clusters according to the importance consumers attach to these attributes. The results are encouraging for the promotion of sustainability because different groups of consumers might prefer to purchase food products with different sustainable characteristics, such as locally grown, foods with visual imperfections, and minimally processed foods.
How Audit Quality Affects the Firm Performance with the Moderating Role of the Product Market Competition: Empirical Evidence from Pakistani Manufacturing Firms
Authors: Sattar Usman , Javeed Sohail Ahmad , Latief Rashid
Published: May 2020

Audit quality (AQ) is a crucial instrument for ensuring transparency and accountability in both the public and private sectors. If the AQ is responsible for the maximization or minimization of profit, then what are the circumstances that make these possible? In this study, we examined the role of the product market competition (PMC) in the relation between the AQ and firm performance (FP). The PMC on the manufacturing firms of Pakistan was divided into two categories—low product market competition (LPMC) and high product market competition (HPMC). This division was calculated using the Herfindahl–Hirschman index (HHI). Then, we used ordinary least squares (OLS), the fixed-effect model, and the generalized method of moment (GMM) to examine the role of PMC on the association between the AQ and FP. The results of the study revealed that the financial performance of firms was enhanced with the quality of the audit. Highly competitive firms demonstrated higher chances to capture the maximum profit and have a positive relationship with FP, while less competitive firms were negatively associated with FP. Furthermore, the HPMC played a vital role in boosting the profit of the firms. On one hand, the connection between the AQ and FP was positively affected by the HPMC. On the other hand, the connection between the AQ and FP was negatively affected by the LPMC. Thus, the findings of this investigation have various implications for owners, investors, shareholders, and governments. This study can help the governments of developing economies to enhance economic conditions by focusing on the industrial sector. This study also contributes to the literature by supporting the agency theory that PMC can mitigate the agency issue between owners and agents.
Novel Multi-Criteria Intuitionistic Fuzzy SWARA–COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process
Authors: Mishra Arunodaya Raj , Rani Pratibha , Pandey Kiran , Mardani Abbas , Streimikis Justas , Streimikiene Dalia , Alrasheedi Melfi
Published: May 2020

Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioenergy production technology alternatives are complex in nature and deliver different benefits due to the lack of precise and comprehensive data. Selection of an optimal bioenergy production technology (BPT) alternative is considered a complex multi-criteria decision-making (MCDM) problem that involves many incompatible tangible and intangible as well as qualitative and quantitative criteria. The procedure of defining and evaluating the weights of the criteria is an important concern for decision experts because the assessment and the final selection of the BPT alternative are carried out on the basis of the defined set of criteria. Intuitionistic fuzzy sets (IFSs) have received considerable attention due to their ability to handle the imprecision and vagueness that can arise in real-life situations. Thus, this study presents an integrated approach, based on stepwise weight assessment ratio analysis (SWARA) and complex proportional assessment (COPRAS) approaches, for the selection of BPT alternatives. In the integrated framework, criteria weights are determined by the SWARA procedure, and the ranking of BPT alternatives is decided by the COPRAS method using IFSs. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. To express the efficiency and applicability of the integrated framework, a BPT selection problem is presented using IFSs. In addition, this study involved sensitivity analysis with respect to various sets of criteria weights to reveal the strength of the developed approach. The sensitivity analysis outcomes indicate that the agricultural and municipal waste of biogas (S3) consistently secures the highest rank, despite how the criteria weights vary. Finally, a comparative study is discussed to analyze the validity of the obtained result. The findings of this study confirm that the proposed framework is more useful than and consistent with previously developed methods using the IFSs environment.
Grazing Management Influences Gut Microbial Diversity of Livestock in the Same Area
Authors: Song Pengfei , Qin Wen , Huang YanGan , Wang Lei , Cai Zhenyuan , Zhang Tongzuo
Published: May 2020

The composition of gut microbiota is closely related to health and nutrition of livestock. Research on the interaction between gut microbiota in livestock and grazing management strategies is unfortunately sparse. By studying the compositions of gut microbiota in sheep and goats in a single, mixed grazing population under the control of herdsman, as well as those of free-range camels in the same area of Qaidam Basin, we found that the composition of gut microbiota between sheep and goats showed no significant difference. However, there were significant differences between mixed group and camels at α- and β-diversities. We speculate that grazing management can shape gut microbial diversity indirectly. Mixed grazing under the control of herdsman lead to similarities in the diversity of gut microbiota among different species and limit their diversities of gut microbiota, which is not conducive to healthy growth of the host. On the contrary, free-range grazing is better for the diversity of gut microbiota. In order to sustainably manage populations of livestock, gut microbiota analysis may prove to be an important indicator for evaluating the merits of different grazing management strategies. Our results lay a foundation to improve the health of livestock and grazing management.
Proceedings of a Workshop on Characterizing and Defining the Social and Economic Domains of Sustainable Diets
Authors: Comerford Kevin , Arndt Channing , Drewnowski Adam , Ericksen Polly , Griffin Tim , Hendrickson Mary , Ingram John , Nicholls Jill
Published: May 2020

Global challenges associated with a growing demand for food in the face of finite natural resources and climate change have prompted concerns about the sustainability of our current food systems. As formulated by the Food and Agriculture Organization, the four principal domains of sustainable diets are health, economics, society, and the environment. While emphasizing the environmental cost and health impacts of current diets, the research literature has virtually ignored the vital economic and social aspects of sustainability. Without these components, critical inputs for decision-making about global challenges related to climate change and a growing demand for food are missing. National Dairy Council convened experts in sociology, economics, human nutrition, food systems science, food security, environmental health, and sustainable agriculture for a one-day workshop to define the social and economic domains of sustainability in service of better characterizing food-based dietary guidance that is both healthy and sustainable. The consensus recommendations were to (1) select social and economic indicators to complement the existing environmental and health ones, (2) better define appropriate concepts, terms, and measures to foster discussion across scientific disciplines, (3) reframe the focus on sustainable diets towards the goal of “achieving healthy dietary patterns from sustainable food systems”, and (4) complement the four domains, and incorporate the notions of geography, time, and cross-cutting considerations into sustainability frameworks. This publication summarizes the presentations, discussions, and findings from the 2019 workshop, and aims to catalyze further action to advance sustainability research and practice in the context of food-based dietary guidance and the Sustainable Development Goals.
The SPPD-WRF Framework: A Novel and Holistic Methodology for Strategical Planning and Process Design of Water Resource Factories
Authors: Kehrein Philipp , van Loosdrecht Mark , Osseweijer Patricia , Posada John , Dewulf Jo
Published: May 2020

This paper guides decision making in more sustainable urban water management practices that feed into a circular economy by presenting a novel framework for conceptually designing and strategically planning wastewater treatment processes from a resource recovery perspective. Municipal wastewater cannot any longer be perceived as waste stream because a great variety of technologies are available to recover water, energy, fertilizer, and other valuable products from it. Despite the vast technological recovery possibilities, only a few processes have yet been implemented that deserve the name water resource factory instead of wastewater treatment plant. This transition relies on process designs that are not only technically feasible but also overcome various non-technical bottlenecks. A multidimensional and multidisciplinary approach is needed to design water resource factories (WRFs) in the future that are technically feasible, cost effective, show low environmental impacts, and successfully market recovered resources. To achieve that, the wastewater treatment plant (WWTP) design space needs to be opened up for a variety of expertise that complements the traditional wastewater engineering domain. Implementable WRF processes can only be designed if the current design perspective, which is dominated by the fulfilment of legal effluent qualities and process costs, is extended to include resource recovery as an assessable design objective from an early stage on. Therefore, the framework combines insights and methodologies from different fields and disciplines beyond WWTP design like, e.g., circular economy, industrial process engineering, project management, value chain development, and environmental impact assessment. It supports the transfer of the end-of-waste concept into the wastewater sector as it structures possible resource recovery activities according to clear criteria. This makes recovered resources more likely to fulfil the conditions of the end-of-waste concept and allows the change in their definition from wastes to full-fledged products.
Social Sustainability and Transformation in Higher Educational Settings: A Utopia or Possibility?
Authors: Wolff Lili-Ann , Ehrström Peter
Published: May 2020

Social sustainability is a dimension of sustainability that has received little attention. Our aims in this article are to create a definition of social sustainability based on a comprehensive literature study, and to discuss the implementation of the concept in higher education settings at theoretical and practical levels. We also aim to answer the question of whether it is possible to achieve a socially sustainable and transformative practice in educational contexts. Our approach in the study is critical and reflective and, firstly, built on a literature review including policy documents, research articles and books on sustainability from the perspectives of education and social studies. Secondly, we provide examples of practice from four university sustainability courses. In these courses, social sustainability appears in an interdisciplinary and a sustainable leadership framework. The conclusion from this study is that it is possible to implement social sustainability in various ways at the course level. We identify elementary features at basic, personal and educational levels that facilitate the implementation. However, we see the inclusion of social sustainability as the only way to reshape education and rethink the role of educational institutions. In this reshaping, ethics is the core.
The Impact of Employees’ Perceptions of Strategic Alignment on Sustainability: An Empirical Investigation of Korean Firms
Authors: Kim Jinhwan , Kim Hyeob , Kwon HyukJun
Published: May 2020

Despite the increasing amount of research on the use of strategic alignment to ensure sustainability, Korean companies have been found to lack an understanding of the initiative that connects strategic alignment and organizational performance. We argue the need for role clarity and employee engagement as two motivational mechanisms for strategic alignment to achieve better organizational performance. The research model uses variables related to strategic alignment, role clarity (goal and process clarity), employee engagement, and organizational performance. The model was tested by surveying 244 participants in 74 Korean companies. The results of the structural model tested using the partial least squares regression reveal that strategic alignment is indirectly related to organizational performance through goal clarity and employee engagement. This study also clarifies the motivation of strategic alignment in terms of individuals (e.g., psychological stability of individual goals and actions) and organizations (e.g., high level of engagement toward the organization’s active support). Further research issues are also discussed.
Agricultural Structure Adjustment and Rural Poverty Alleviation in the Agro-Pastoral Transition Zone of Northern China: A Case Study of Yulin City
Authors: Wang Yongsheng , Chen Yan , Liu Zhengjia
Published: May 2020

Poverty restricts rural sustainable development and urban–rural integration. Agricultural development is an engine of rural economic development and poverty elimination. Agricultural structure adjustment and rural poverty alleviation in Yulin City from the agro-pastoral transition zone of Northern China were studied using statistical data. Our results showed that the rural poverty ratio in Yulin was 7.70% in 2017, with clearly higher trends in southeast regions and lower trends in northeast regions. Northern Yulin had a lower proportion of primary industry to gross domestic production and ratio of agriculture to animal husbandry than southern Yulin. The agricultural structure variability index and agricultural specialization index have changed little, while the actual growth rate of the rural per capita net income has dramatically declined in the last decade. The rural poverty ratio was positively correlated with proportion of primary industry and ratio of agriculture to animal husbandry. These results suggest that a reduced proportion of primary industry and animal husbandry development will promote rural poverty alleviation and future rural revitalization.