bluuebunny/crossref_metadata_2025 huggingface dataset:
Change in Nutrient and Dietary Intake in European Children with Cystic Fibrosis after a 6-Month Intervention with a Self-Management mHealth Tool
Authors: Calvo-Lerma Joaquim , Boon Mieke , Hulst Jessie , Colombo Carla , Asseiceira Inês , Garriga María , Masip Etna , Claes Ine , Bulfamante Anna , Janssens Hettie M. , Roca Maria , Vicente Saioa , Fornés Victoria , Zazzeron Laura , van Schijndel Bo , Woodcock Sandra , Pereira Luisa , de Boeck Kris , Ribes-Koninckx Carmen
Published: May 2021

Cystic Fibrosis (CF) is a life-long genetic disease, causing increased energy needs and a healthy diet with a specific nutrient distribution. Nutritional status is an indicator of disease prognosis and survival. This study aimed at assessing the effectiveness of a self-management mobile app in supporting patients with CF to achieve the dietary goals set by the CF nutrition guidelines. A clinical trial was conducted in pancreatic insufficient children with CF, followed in six European CF centres, where the self-management app developed within the MyCyFAPP project was used for six months. To assess secondary outcomes, three-day food records were compiled in the app at baseline and after 3 and 6 months of use. Eighty-four subjects (mean 7.8 years old) were enrolled. Compared to baseline, macronutrient distribution better approximated the guidelines, with protein and lipid increasing by 1.0 and 2.1% of the total energy intake, respectively, by the end of the study. Consequently, carbohydrate intake of the total energy intake decreased significantly (−2.9%), along with simple carbohydrate intake (−2.4%). Regarding food groups, a decrease in ultra-processed foods was documented, with a concomitant increase in meat and dairy. The use of a self-management mobile app to self-monitor dietary intake could become a useful tool to achieve adherence to guideline recommendations, if validated during a longer period of time or against a control group.
Fruit Juices: Are They Helpful or Harmful? An Evidence Review
Authors: Ruxton Carrie H. S. , Myers Madeleine
Published: May 2021

Dietary guidelines often deal with 100% fruit juice (FJ) inconsistently because it represents a source of free sugars. However, FJ also provides bioavailable micronutrients and plant bioactives at levels similar to those found in whole fruits. The present review weighs up the evidence from high-quality studies investigating a potential health harm for FJ against evidence from studies which indicate a potential health benefit. The findings reveal that FJ consumption, at moderate intakes consistent with the dietary guidelines for the US and some European countries (75–224 mL daily), does not increase the risk of obesity, type 2 diabetes, cardiovascular disease or poor glycaemic control. In contrast, regular consumption of FJ—even up to 500 mL per day in short-to-medium-term studies—appears to confer a health benefit in terms of vascular function and reduced blood pressure. Emerging evidence for cognitive health benefits requires further investigation in human trials. Observational studies report associations between FJ and nutrient adequacy and suggest that FJ consumption is associated with reduced risk of stroke. In conclusion, FJ appears to offer more benefit than risk and there appears to be no justification for discouraging FJ within a balanced diet for children and adults.
Healthy Behaviors Associated with Changes in Mental and Physical Strength in Urban African American and White Adults
Authors: Kuczmarski Marie Fanelli , Orsega-Smith Elizabeth , Mode Nicolle A. , Rawal Rita , Evans Michele K. , Zonderman Alan B.
Published: May 2021

Over time, adherence to healthy behaviors may improve physical and mental strength which is essential for successful aging. A plausible mechanism is the reduction of inflammation. Research on the association of risky health behaviors on change in strength with age is limited. This study examined changes in the inflammatory potential of the diet, smoking, illicit drug use with changes in strength in a racially and socioeconomically diverse adult sample from the Healthy Aging in Neighborhoods of Diversity Across the Life Span study. The dietary inflammatory index (DII) was calculated from 35 food components derived from multiple 24-h dietary recalls. Strength was evaluated by handgrip strength (HGS), SF-12 PCS and SF-12 MCS (physical and mental component scores). Repeated measures analyses were used to examine associations. At baseline, mean age was 48.4 ± 0.25 years, 56% of the sample were women, and 58% African American. Significant 4-way interactions were found between age, race, socioeconomic status, and DII for women, on change in HGS (p < 0.05) and in SF-12 PCS (p < 0.05) and for men, in change in SF-12 PCS (p < 0.05). Improvements in SF-12 MCS were associated with all three health behaviors as main effects. This study provided evidence that changes towards improving healthy behaviors, diet with anti-inflammatory potential, not smoking cigarettes and not using illicit drugs, were associated with improved strength. Health professionals, especially registered dietitians and health coaches, should create lifestyle interventions to reduce inflammation targeting change in more than one risky health behavior.
The Application of Creatine Supplementation in Medical Rehabilitation
Authors: Harmon Kylie K. , Stout Jeffrey R. , Fukuda David H. , Pabian Patrick S. , Rawson Eric S. , Stock Matt S.
Published: May 2021

Numerous health conditions affecting the musculoskeletal, cardiopulmonary, and nervous systems can result in physical dysfunction, impaired performance, muscle weakness, and disuse-induced atrophy. Due to its well-documented anabolic potential, creatine monohydrate has been investigated as a supplemental agent to mitigate the loss of muscle mass and function in a variety of acute and chronic conditions. A review of the literature was conducted to assess the current state of knowledge regarding the effects of creatine supplementation on rehabilitation from immobilization and injury, neurodegenerative diseases, cardiopulmonary disease, and other muscular disorders. Several of the findings are encouraging, showcasing creatine’s potential efficacy as a supplemental agent via preservation of muscle mass, strength, and physical function; however, the results are not consistent. For multiple diseases, only a few creatine studies with small sample sizes have been published, making it difficult to draw definitive conclusions. Rationale for discordant findings is further complicated by differences in disease pathologies, intervention protocols, creatine dosing and duration, and patient population. While creatine supplementation demonstrates promise as a therapeutic aid, more research is needed to fill gaps in knowledge within medical rehabilitation.
Characterization of an Agarophyton chilense Oleoresin Containing PPARγ Natural Ligands with Insulin-Sensitizing Effects in a C57Bl/6J Mouse Model of Diet-Induced Obesity and Antioxidant Activity in Caenorhabditis elegans
Authors: Pinto Claudio , Ibáñez María Raquel , Loyola Gloria , León Luisa , Salvatore Yasmin , González Carla , Barraza Víctor , Castañeda Francisco , Aldunate Rebeca , Contreras-Porcia Loretto , Fuenzalida Karen , Bronfman Francisca C.
Published: May 2021

The biomedical potential of the edible red seaweed Agarophyton chilense (formerly Gracilaria chilensis) has not been explored. Red seaweeds are enriched in polyunsaturated fatty acids and eicosanoids, which are known natural ligands of the PPARγ nuclear receptor. PPARγ is the molecular target of thiazolidinediones (TZDs), drugs used as insulin sensitizers to treat type 2 diabetes mellitus. Medical use of TZDs is limited due to undesired side effects, a problem that has triggered the search for selective PPARγ modulators (SPPARMs) without the TZD side effects. We produced Agarophyton chilense oleoresin (Gracilex®), which induces PPARγ activation without inducing adipocyte differentiation, similar to SPPARMs. In a diet-induced obesity model of male mice, we showed that treatment with Gracilex® improves insulin sensitivity by normalizing altered glucose and insulin parameters. Gracilex® is enriched in palmitic acid, arachidonic acid, oleic acid, and lipophilic antioxidants such as tocopherols and β-carotene. Accordingly, Gracilex® possesses antioxidant activity in vitro and increased antioxidant capacity in vivo in Caenorhabditis elegans. These findings support the idea that Gracilex® represents a good source of natural PPARγ ligands and antioxidants with the potential to mitigate metabolic disorders. Thus, its nutraceutical value in humans warrants further investigation.
The Potential Roles of Blood–Brain Barrier and Blood–Cerebrospinal Fluid Barrier in Maintaining Brain Manganese Homeostasis
Authors: McCabe Shannon Morgan , Zhao Ningning
Published: May 2021

Manganese (Mn) is a trace nutrient necessary for life but becomes neurotoxic at high concentrations in the brain. The brain is a “privileged” organ that is separated from systemic blood circulation mainly by two barriers. Endothelial cells within the brain form tight junctions and act as the blood–brain barrier (BBB), which physically separates circulating blood from the brain parenchyma. Between the blood and the cerebrospinal fluid (CSF) is the choroid plexus (CP), which is a tissue that acts as the blood–CSF barrier (BCB). Pharmaceuticals, proteins, and metals in the systemic circulation are unable to reach the brain and spinal cord unless transported through either of the two brain barriers. The BBB and the BCB consist of tightly connected cells that fulfill the critical role of neuroprotection and control the exchange of materials between the brain environment and blood circulation. Many recent publications provide insights into Mn transport in vivo or in cell models. In this review, we will focus on the current research regarding Mn metabolism in the brain and discuss the potential roles of the BBB and BCB in maintaining brain Mn homeostasis.
Neuroprotective Effects of Tripeptides—Epigenetic Regulators in Mouse Model of Alzheimer’s Disease
Authors: Khavinson Vladimir , Ilina Anastasiia , Kraskovskaya Nina , Linkova Natalia , Kolchina Nina , Mironova Ekaterina , Erofeev Alexander , Petukhov Michael
Published: May 2021

KED and EDR peptides prevent dendritic spines loss in amyloid synaptotoxicity in in vitro model of Alzheimer’s disease (AD). The objective of this paper was to study epigenetic mechanisms of EDR and KED peptides’ neuroprotective effects on neuroplasticity and dendritic spine morphology in an AD mouse model. Daily intraperitoneal administration of the KED peptide in 5xFAD mice from 2 to 4 months of age at a concentration of 400 μg/kg tended to increase neuroplasticity. KED and EDR peptides prevented dendritic spine loss in 5xFAD-M mice. Their action’s possible molecular mechanisms were investigated by molecular modeling and docking of peptides in dsDNA, containing all possible combinations of hexanucleotide sequences. Similar DNA sequences were found in the lowest-energy complexes of the studied peptides with DNA in the classical B-form. EDR peptide has binding sites in the promoter region of CASP3, NES, GAP43, APOE, SOD2, PPARA, PPARG, GDX1 genes. Protein products of these genes are involved in AD pathogenesis. The neuroprotective effect of EDR and KED peptides in AD can be defined by their ability to prevent dendritic spine elimination and neuroplasticity impairments at the molecular epigenetic level.
Pullulan Based Bioconjugates for Ocular Dexamethasone Delivery
Authors: Kicková Eva , Salmaso Stefano , Mastrotto Francesca , Caliceti Paolo , Urtti Arto
Published: May 2021

Posterior segment eye diseases are mostly related to retinal pathologies that require pharmacological treatments by invasive intravitreal injections. Reduction of frequent intravitreal administrations may be accomplished with delivery systems that provide sustained drug release. Pullulan-dexamethasone conjugates were developed to achieve prolonged intravitreal drug release. Accordingly, dexamethasone was conjugated to ~67 kDa pullulan through hydrazone bond, which was previously found to be slowly cleavable in the vitreous. Dynamic light scattering and transmission electron microscopy showed that the pullulan-dexamethasone containing 1:20 drug/glucose unit molar ratio (10% w/w dexamethasone) self-assembled into nanoparticles of 461 ± 30 nm and 402 ± 66 nm, respectively. The particles were fairly stable over 6 weeks in physiological buffer at 4, 25 and 37 °C, while in homogenized vitreous at 37 °C, the colloidal assemblies underwent size increase over time. The drug was released slowly in the vitreous and rapidly at pH 5.0 mimicking lysosomal conditions: 50% of the drug was released in about 2 weeks in the vitreous, and in 2 days at pH 5.0. In vitro studies with retinal pigment epithelial cell line (ARPE-19) showed no toxicity of the conjugates in the cells. Flow cytometry and confocal microscopy showed cellular association of the nanoparticles and intracellular endosomal localization. Overall, pullulan conjugates showed interesting features that may enable their successful use in intravitreal drug delivery.
Effect of Poly(L-lysine) and Heparin Coatings on the Surface of Polyester-Based Particles on Prednisolone Release and Biocompatibility
Authors: Mohamed Abdelrahman , Korzhikov-Vlakh Viktor , Zhang Nan , Said André , Pilipenko Iuliia , Schäfer-Korting Monika , Zoschke Christian , Tennikova Tatiana
Published: May 2021

A plethora of micro- and nanoparticle types are currently investigated for advanced ocular treatment due to improved drug retention times, higher bioavailability and better biocompatibility. Yet, comparative studies of both physicochemical and toxicological performance of these novel drug delivery systems are still rare. Herein, poly(L-lactic acid)- and poly(ε-caprolactone)-based micro- and nanoparticles were loaded with prednisolone as a model drug. The physicochemical properties of the particles were varied with respect to their hydrophilicity and size as well as their charge and the effect on prednisolone release was evaluated. The particle biocompatibility was assessed by a two-tier testing strategy, combining the EpiOcularTM eye irritation test and bovine corneal opacity and permeability assay. The biodegradable polyelectrolyte corona on the particles’ surface determined the surface charge and the release rate, enabling prednisolone release for at least 30 days. Thereby, the prednisolone release process was mainly governed by molecular diffusion. Finally, the developed particle formulations were found to be nontoxic in the tested range of concentrations.
Cure Kinetics Modeling of a High Glass Transition Temperature Epoxy Molding Compound (EMC) Based on Inline Dielectric Analysis
Authors: Franieck Erick , Fleischmann Martin , Hölck Ole , Kutuzova Larysa , Kandelbauer Andreas
Published: May 2021

We report on the cure characterization, based on inline monitoring of the dielectric parameters, of a commercially available epoxy phenol resin molding compound with a high glass transition temperature (>195 °C), which is suitable for the direct packaging of electronic components. The resin was cured under isothermal temperatures close to general process conditions (165–185 °C). The material conversion was determined by measuring the ion viscosity. The change of the ion viscosity as a function of time and temperature was used to characterize the cross-linking behavior, following two separate approaches (model based and isoconversional). The determined kinetic parameters are in good agreement with those reported in the literature for EMCs and lead to accurate cure predictions under process-near conditions. Furthermore, the kinetic models based on dielectric analysis (DEA) were compared with standard offline differential scanning calorimetry (DSC) models, which were based on dynamic measurements. Many of the determined kinetic parameters had similar values for the different approaches. Major deviations were found for the parameters linked to the end of the reaction where vitrification phenomena occur under process-related conditions. The glass transition temperature of the inline molded parts was determined via thermomechanical analysis (TMA) to confirm the vitrification effect. The similarities and differences between the resulting kinetics models of the two different measurement techniques are presented and it is shown how dielectric analysis can be of high relevance for the characterization of the curing reaction under conditions close to series production.
Holographic Grating Enhancement of TI/PMMA Polymers in the Dark Diffusion Process
Authors: Liu Peng , Sun Xiudong
Published: May 2021

The dark diffusion enhancement process (DDEP) caused by photopolymerization during the pre-exposure of TI/PMMA (titanocene dispersed methyl methacrylate matrix) polymers was theoretically analyzed and experimentally investigated, revealing the holographic grating enhancement of TI/PMMA polymers in the post-exposure process without additional operations. The diffusion of photo-initiators and photoproducts dominated the grating enhancement process after exposure. We adopted two pre-exposure methods, long-time (second level) and short-time (millisecond level) laser exposure, at 532 nm, to investigate the DDEP during the post-exposure process. A five-fold enhancement in grating strength was achieved in consecutive long-time pre-exposures, while a two-fold grating development was examined after short-time exposure. Additionally, the exposure durations and repetition rates influenced the grating increment of the DDEP. This study provided a basis for the feasibility of holographic application in TI/PMMA photopolymers via the dark diffusion effect.
Advances in Low-Density Flexible Polyurethane Foams by Optimized Incorporation of High Amount of Recycled Polyol
Authors: Kiss Gabriel , Rusu Gerlinde , Bandur Geza , Hulka Iosif , Romecki Daniel , Péter Francisc
Published: May 2021

An industrially manufactured recycled polyol, obtained by acidolysis process, was for the first time proved to be a possible replacement of the reference fossil-based polyol in a low-density formulation suitable for industrial production of flexible polyurethane foams. The influence of increasing recycled polyol amounts on the properties of the polyurethane foam has been studied, also performing foam emission tests to evaluate the environmental impact. Using 10 pbw recycled polyol in the standard formulation, significant differences of the physical properties were not observed, but increase of the recycled polyol amount to 30 pbw led to a dramatic decrease of the foam air flow and a very tight foam. To overcome this drawback, N,N′-bis[3-(dimethylamino)propyl]urea was selected as tertiary amine catalyst, enabling the preservation of foam properties even at high recycled polyol level (30 pbw). Foam emission data demonstrated that this optimized foam formulation also led to an important reduction of volatile organic compounds. The results open the way for further optimization studies in low-density flexible polyurethane foam formulations, to increase the reutilization of the polyurethane waste and reduce the amount of petroleum-based raw materials.
Dual Temperature and Metal Salts-Responsive Interpenetrating Polymer Networks Composed of Poly (N-isopropylacrylamide) and Polyethylene Glycol
Authors: Sano Junta , Habaue Shigeki
Published: May 2021

Novel interpenetrating polymer networks (IPNs) composed of poly(N-isopropylacrylamide) (poly-NIPAM) and polyethers—namely, polyethylene glycol (PEG) and poly(tetramethylene oxide)—were synthesized in the absence and presence of polysiloxane containing a silanol residue. Gelation was accomplished using end-capped polyethers with trimethoxysilyl moieties and proceeded through simultaneous radical gelation of NIPAM and condensation of the silyl groups to form siloxane linkages. Thus, a novel one-step method constructing an IPN structure was provided. The obtained IPNs showed a gentle temperature-responsive volume change in water owing to the constructed poly-NIPAM gel component. In addition, a specific color-change response to chemical stimuli, such as CuCl2 and AgNO3 in water, was observed only when both components of poly-NIPAM and PEG existed in a gel form. For example, a single network gel composed of poly-NIPAM or PEG was isolated as a pale blue hydrogel, whereas IPNs composed of poly-NIPAM and PEG components turned yellow after swelling in an aqueous CuCl2 solution (0.1 M, pale blue). Dual-responsive functionalities of the synthesized hydrogels to temperature and metal salts, along with volume and color changes, were demonstrated.
Cascading Recycling of Wood Waste: A Review
Authors: Besserer Arnaud , Troilo Sarah , Girods Pierre , Rogaume Yann , Brosse Nicolas
Published: May 2021

Wood is an increasingly demanded renewable resource and an important raw material for construction and materials. In addition, new consumption habits are leading to the production of ever greater volumes of waste wood, which constitutes a feedstock that can be mobilized for the cascade production of new materials such as particleboard. However, current legislation and wood waste recycling processes need to be improved in order to maximize the volumes that can be reused and to upgrade the properties of the recycled wood. This review describes wood waste flows and volumes available in Europe, the current French and European legislation, and the innovations under development in this field: innovative automated sorting techniques, physical-chemical processes for cleaning residual glue from the surface of wood particles, cleaning of MDF, and bioremediation processes for cleaning hazardous wood contaminated by heavy metals or creosote.
Remote Sensing for Plant Water Content Monitoring: A Review
Authors: Quemada Carlos , Pérez-Escudero José M. , Gonzalo Ramón , Ederra Iñigo , Santesteban Luis G. , Torres Nazareth , Iriarte Juan Carlos
Published: May 2021

This paper reviews the different remote sensing techniques found in the literature to monitor plant water status, allowing farmers to control the irrigation management and to avoid unnecessary periods of water shortage and a needless waste of valuable water. The scope of this paper covers a broad range of 77 references published between the years 1981 and 2021 and collected from different search web sites, especially Scopus. Among them, 74 references are research papers and the remaining three are review papers. The different collected approaches have been categorized according to the part of the plant subjected to measurement, that is, soil (12.2%), canopy (33.8%), leaves (35.1%) or trunk (18.9%). In addition to a brief summary of each study, the main monitoring technologies have been analyzed in this review. Concerning the presentation of the data, different results have been obtained. According to the year of publication, the number of published papers has increased exponentially over time, mainly due to the technological development over the last decades. The most common sensor is the radiometer, which is employed in 15 papers (20.3%), followed by continuous-wave (CW) spectroscopy (12.2%), camera (10.8%) and THz time-domain spectroscopy (TDS) (10.8%). Excluding two studies, the minimum coefficient of determination (R2) obtained in the references of this review is 0.64. This indicates the high degree of correlation between the estimated and measured data for the different technologies and monitoring methods. The five most frequent water indicators of this study are: normalized difference vegetation index (NDVI) (12.2%), backscattering coefficients (10.8%), spectral reflectance (8.1%), reflection coefficient (8.1%) and dielectric constant (8.1%).
Ionospheric Scintillation Prediction on S4 and ROTI Parameters Using Artificial Neural Network and Genetic Algorithm
Authors: Atabati Alireza , Alizadeh Mahdi , Schuh Harald , Tsai Lung-Chih
Published: May 2021

Irregularities in electron density usually correlate with ionospheric plasma perturbations. These variations causing radio signal fluctuations, in response, generate ionospheric scintillations that frequently occur in low-latitude regions. In this research, the combination of an artificial neural network (ANN) with the genetic algorithm (GA) was implemented to predict ionospheric scintillations. The GA method was considered for obtaining the ANN model’s initial weights. This procedure was applied to GNSS observations at GUAM (13.58°E, 144.86°N, 201.922H) station for the daily prediction of ionospheric amplitude scintillations via predicting the signal-to-noise ratio (S4) or via prediction of the rate of TEC index (ROTI). Thirty-day modeling was carried out for three months in January, March, and July, representing different seasons of the winter solstice, equinox, and summer solstice during three different years, 2015, 2017, and 2020, with different solar activities. The models, along with ionospheric physical data, were used for the daily prediction of ionospheric scintillations for the consequent day after the modeling. The prediction results were evaluated using S4 derived from GNSS observations at GUAM station. The designed model has the ability to predict daily ionospheric scintillations with an accuracy of about 81% for the S4 and about 80% for the ROTI.
Estimation of Rangeland Production in the Arid Oriental Region (Morocco) Combining Remote Sensing Vegetation and Rainfall Indices: Challenges and Lessons Learned
Authors: Lang Marie , Mahyou Hamid , Tychon Bernard
Published: May 2021

This study aimed at investigating the potential of vegetation indices and precipitation-related variables derived from remote sensing to assess rangeland production in the arid environment of the Moroccan Oriental region and identifying the challenges linked to that particular biome. Vegetation indices (VIs) and the Standardized Precipitation Index (SPI) computed at various aggregation periods were first integrated into a Random Forest model. In a second step, we studied in more detail the linear relationship between rangeland biomass and one of the spectral indices (ARVI) for the various vegetation formations present in the area. We concluded that, mostly due to the presence of alfa steppes (Stipa tenacissima), and especially to a large proportion of non-photosynthetic vegetation, it is not possible to accurately estimate rangeland production with a global model in this region. We recommend separating Stipa tenacissima from the other species in models and focusing on methods aimed at studying dry and non-photosynthetic vegetation to improve the quality of the prediction for alfa steppes.
Spatiotemporal Patterns in Data Availability of the Sentinel-5P NO2 Product over Urban Areas in Norway
Authors: Schneider Philipp , Hamer Paul D. , Kylling Arve , Shetty Shobitha , Stebel Kerstin
Published: May 2021

Due to its comparatively high spatial resolution and its daily repeat frequency, the tropospheric nitrogen dioxide product provided by the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor platform has attracted significant attention for its potential for urban-scale monitoring of air quality. However, the exploitation of such data in, for example, operational assimilation of local-scale dispersion models is often complicated by substantial data gaps due to cloud cover or other retrieval limitations. These challenges are particularly prominent in high-latitude regions where significant cloud cover and high solar zenith angles are often prevalent. Using the example of Norway as a representative case for a high-latitude region, we here evaluate the spatiotemporal patterns in the availability of valid data from the operational TROPOMI tropospheric nitrogen dioxide (NO2) product over five urban areas (Oslo, Bergen, Trondheim, Stavanger, and Kristiansand) and a 2.5 year period from July 2018 through November 2020. Our results indicate that even for relatively clean environments such as small Norwegian cities, distinct spatial patterns of tropospheric NO2 are visible in long-term average datasets from TROPOMI. However, the availability of valid data on a daily level is limited by both cloud cover and solar zenith angle (during the winter months), causing the fraction of valid retrievals in each study site to vary from 20% to 50% on average. A temporal analysis shows that for our study sites and the selected period, the fraction of valid pixels in each domain shows a clear seasonal cycle reaching a maximum of 50% to 75% in the summer months and 0% to 20% in winter. The seasonal cycle in data availability shows the inverse behavior of NO2 pollution in Norway, which typically has its peak in the winter months. However, outside of the mid-winter period we find the TROPOMI NO2 product to provide sufficient data availability for detailed mapping and monitoring of NO2 pollution in the major urban areas in Norway and see potential for the use of the data in local-scale data assimilation and emission inversions applications.
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine
Authors: Greifeneder Felix , Notarnicola Claudia , Wagner Wolfgang
Published: May 2021

Due to its relation to the Earth’s climate and weather and phenomena like drought, flooding, or landslides, knowledge of the soil moisture content is valuable to many scientific and professional users. Remote-sensing offers the unique possibility for continuous measurements of this variable. Especially for agriculture, there is a strong demand for high spatial resolution mapping. However, operationally available soil moisture products exist with medium to coarse spatial resolution only (≥1 km). This study introduces a machine learning (ML)—based approach for the high spatial resolution (50 m) mapping of soil moisture based on the integration of Landsat-8 optical and thermal images, Copernicus Sentinel-1 C-Band SAR images, and modelled data, executable in the Google Earth Engine. The novelty of this approach lies in applying an entirely data-driven ML concept for global estimation of the surface soil moisture content. Globally distributed in situ data from the International Soil Moisture Network acted as an input for model training. Based on the independent validation dataset, the resulting overall estimation accuracy, in terms of Root-Mean-Squared-Error and R², was 0.04 m3·m−3 and 0.81, respectively. Beyond the retrieval model itself, this article introduces a framework for collecting training data and a stand-alone Python package for soil moisture mapping. The Google Earth Engine Python API facilitates the execution of data collection and retrieval which is entirely cloud-based. For soil moisture retrieval, it eliminates the requirement to download or preprocess any input datasets.
Improved Estimation of Aboveground Biomass of Disturbed Grassland through Including Bare Ground and Grazing Intensity
Authors: Shi Yan , Gao Jay , Li Xilai , Li Jiexia , dela Torre Daniel Marc G. , Brierley Gary John
Published: May 2021

Accurate approaches to aboveground biomass (AGB) estimation are required to support appraisal of the effectiveness of land use measures, which seek to protect grazing-adapted grasslands atop the Qinghai-Tibet Plateau (QTP). This methodological study assesses the effectiveness of one commonly used visible band vegetation index, Red Green Blue Vegetation Index (RGBVI), obtained from unmanned aerial vehicle (UAV), in estimating AGB timely and accurately at the local scale, seeking to improve the estimation accuracy by taking into account in situ collected information on disturbed grassland. Particular emphasis is placed upon the mapping and quantification of areas disturbed by grazing (simulated via mowing) and plateau pika (Ochotona curzoniae) that have led to the emergence of bare ground. The initial model involving only RGBVI performed poorly in AGB estimation by underestimating high AGB by around 10% and overestimating low AGB by about 10%. The estimation model was modified by the mowing intensity ratio and bare ground metrics. The former almost doubled the estimation accuracy from R2 = 0.44 to 0.81. However, this modification caused the bare ground AGB to be overestimated by about 38 and 19 g m−2 for 2018 and 2019, respectively. Although further modification of the model by bare ground metrics improved the accuracy slightly to 0.88, it markedly reduced the overestimation of low AGB values. It is recommended that grazing intensity be incorporated into the micro-scale estimation of AGB, together with the bare ground modification metrics, especially for severely disturbed meadows with a sizable portion of bare ground.
COVID-19 and Policy Impacts on the Bangladesh Rice Market and Food Security
Authors: Mobarok Mohammad Hasan , Thompson Wyatt , Skevas Theodoros
Published: May 2021

This research employs a partial equilibrium model to estimate the short- and long-run effects of COVID-19 and rice policies on Bangladesh’s rice market and food security. We also analyze the impact of relevant policies in terms of their effectiveness in mitigating stresses stemming from a hypothetical pandemic with a COVID-19-like impact. The results indicate that the effect of COVID-19 on Bangladeshi food security during FY 2019/20 was mixed, as the indicators of food availability improved by 5%, and decreased by 17% for food stability, relative to what they would have been otherwise. Policy simulation results indicate that a higher import tariff improves self-sufficiency status, but undermines rice availability and accessibility by bending the market toward a restrictive trade regime. Results also indicate that unlike stock enhancement policy, closing the existing yield gap improves rice availability, accessibility, and moderates the depressing effect of a future event with repercussions similar to COVID-19, although the yield policy appears more speculative and could be too costly. The insights generated contribute to the understanding of policies that aim to achieve sustainable development goals related to aggregate food security, and build resilience against future shocks akin to COVID-19.
A Methodological Process for the Design of Frameworks Oriented to Infotainment User Interfaces
Authors: Domínguez-Báez Carlos-Alberto , Mendoza-González Ricardo , Luna-García Huizilopoztli , Rodríguez-Díaz Mario Alberto , Luna-Rosas Francisco Javier , Martínez-Romo Julio César , Celaya-Padilla José M. , Galván-Tejada Jorge I. , Galván-Tejada Carlos E. , Gamboa-Rosales Hamurabi
Published: May 2021

The objective of this paper was to propose a methodological process for the design of frameworks oriented to infotainment user interfaces. Four stages comprise the proposed process, conceptualization, structuring, documentation, and evaluation; in addition, these stages include activities, tasks, and deliverables to guide a work team during the design of a framework. To determine the stages and their components, an analysis of 42 papers was carried out through a systematic literature review in search of similarities during the design process of frameworks related to user interfaces. The evaluation method by a panel of experts was used to determine the validity of the proposal; the conceptual proposal was provided to a panel of 10 experts for their analysis and later a questionnaire in the form of a Likert scale was used to collect the information on the validation of the proposal. The results of the evaluation indicated that the methodological process is valid to meet the objective of designing a framework oriented to infotainment user interfaces.
Energy Logistics Cost Study for Wireless Charging Transportation Networks
Authors: Diego Correa , Jakub Gil , Christian Moyano
Published: May 2021

Many cities around the world encourage the transition to battery-powered vehicles to minimize the carbon footprint of the transportation sector. Deploying large-scale wireless charging infrastructures to charge electric transit buses when loading and unloading passengers have become an effective way to reduce emissions. The standard plug-in electric vehicles have a limited amount of power stored in the battery, resulting in frequent stops to refill the energy. Optimal siting of wireless charging bus stops is essential to reducing these inconveniences and enhancing the sustainability performance of a wireless charging bus fleet. Wireless charging is an innovation of transmitting power through electromagnetic induction to portable electrical devices for energy renewal. Online Electric Vehicle (OLEV) is a new technology that allows the vehicle to be charged while it is in motion, thus removing the need to stop at a charging station. Developed by the Korea Advanced Institute of Science and Technology (KAIST), OLEV picks up electricity from power transmitters buried underground. This paper aims to investigate the cost of the energy logistics for the three types of wireless charging networks: stationary wireless charging (SWC), quasi-dynamic wireless charging (QWC), and dynamic wireless charging (DWC), deployed at stops and size of battery capacity for electric buses, using OLEV technology for a bus service transit in the borough of Manhattan (MN) in New York City (NYC).
Assessment and Improvement of Anti-COVID-19 Measures in Higher Education Establishments
Authors: Wehbe Rania , Shahrour Isam
Published: May 2021

This paper presents a comprehensive methodology for evaluating and improving the anti-Coronavirus (COVID-19) measures in higher education establishments. The methodology combines the use of: (1) Building Information Modeling (BIM) for the integration and control in a 3D graphic environment the anti-COVID-19 safety measures; (2) a questionnaire to collect the students’ commitment to safety measures and their suggestions to improve these measures; (3) data analysis to explore the impact of the students’ profiles on their commitment to safety measures. The proposed methodology is applied at the engineering school Polytech’Lille in the North of France. Results show that the BIM model provides valuable services to the administration by integrating the safety measures in a 3D environment and checking the compatibility of these measures and their improvement. The use of the questionnaire allows the administration to collect students’ feedback about their commitment to safety measures and their suggestions to improve these measures.
RETRACTED: van Dijk, M.P.; Zhang, M. Urban Water Management Paradigms in Chinese Cities. Sustainability 2019, 11, 3001
Authors: van Dijk Meine , Zhang Mingshun
Published: May 2021

The journal retracts the 28 May 2019 article, cited above [...]
Effects of Seed-Coating Preparations of Living Streptomyces globisporus on Plant Growth Promotion and Disease Control against Verticillium Wilt in Cotton
Authors: Chen Qin , Bai Shuang , Zhang Tian , Duan Chunmei , Zhao Juan , Xue Quanhong , Li Yulong
Published: May 2021

This study explored the role of viable cells and active metabolites in the seed-coating preparations of living Streptomyces globisporus in plant growth promotion and disease control against Verticillium wilt of cotton. Pot experiments were carried out to evaluate the effects of seed coating with living (LA), inactivated (IA), and 10-fold diluted living (DLA) preparations of S. globisporus Act7 and Act28 on plant growth performance and disease index of cotton seedlings under attack by Verticillium dahliae. Compared with the control, leaf greenness was increased by 50.0–70.1% across all the three treatments of Act7 (LA7, IA7, and DLA7), and the leaf area of LA7- and DLA7-treated seedlings was increased by more than twice (p < 0.05). DLA7 also increased shoot weight by 62.2%, while IA7 and DLA7 improved plant biomass by 30.4% and 72.1%, respectively (p < 0.05). The root vitality of IA7- and DLA7-treated seedlings was enhanced by 69.1% and 75.8%, respectively. The disease index of Verticillium wilt was reduced by 31.9% (LA7), 25.0% (IA7), and 66.7% (DLA7) after treatments. The effects of Act28 preparations were similar to those of Act7 preparations. Through the combined action of viable spores and active metabolites, seed coating with an appropriate dose of living S. globisporusan can considerably promote plant growth and improve root vitality, while reducing the incidence of Verticillium wilt in cotton seedlings under attack by V. dahliae.
Unveiling the International Students’ Perspective of Service Quality in Chinese Higher Education Institutions
Authors: Yasmin Fakhra , Li Shengbing , Zhang Yan , Poulova Petra , Akbar Ahsan
Published: May 2021

Foreign students’ satisfaction with the service quality of Chinese universities is essential for the sustainable internationalization of China’s higher education system. The present study employs a survey research method to bring in the foreign students’ perspective of the various aspects of service quality in seven key Chinese universities. Accordingly, 618 valid questionnaires were analyzed using descriptive statistics, principal component analysis (PCA), and analysis of variance (ANOVA). The study findings posit that, although foreign students affirm that teachers are supportive and well qualified, they have concerns about the English proficiency of instructors. Likewise, foreign students were not satisfied with the frequency of formal research meetings with their advisers and the assistance with research techniques and relevant literature sources. Overall, female foreign students were less satisfied than their male counterparts. Moreover, foreign students reported higher satisfaction from teaching services and learning resources, moderate satisfaction from advisory services, and meager satisfaction from the administrative and support services of their respective Chinese institutions. Besides, we found significant differences between sample Chinese universities on various constructs of service quality. Likewise, arts and social sciences students were less satisfied with the service quality of the institution as compared to their natural sciences and engineering counterparts. The policy implications of this research for various stakeholders are discussed.
Analysis of Declarative and Procedural Knowledge According to Teaching Method and Experience in School Basketball
Authors: Gamero María G. , García-Ceberino Juan M. , Ibáñez Sergio J. , Feu Sebastián
Published: May 2021

Analysing declarative and procedural knowledge in sport makes it possible to evaluate the students’ acquisitions in the learning process. This study aimed to compare the acquisition of declarative and procedural knowledge after the implementation of several intervention programmes in school basketball, according to the methodology and prior experience of the students. A total of 55 students from the sixth year of primary education took part in the study, distributed into three groups. Each group participated in a different intervention programme: tactical games approach (TGA), direct instruction (DI) or service teacher’s basketball unit (STBU). The level of knowledge was measured using the Test of Declarative and Procedural Knowledge in Basketball (TDPKB). A descriptive analysis was performed to determine the participants’ characteristics. A factorial ANOVA was subsequently applied in two phases (pre-test and post-test) for independent samples to compare the level of knowledge among the different groups, and a t-test for related samples was performed to compare the pre–post knowledge level within each group. Then, a factorial ANOVA and a test of repeated measures were carried out to determine the effect of the methodology and experience on the students’ knowledge. The results indicate that the TGA, DI and STBU intervention programmes induced improvements in the levels of declarative and procedural knowledge in all the groups, with the students who participated in the TGA programme achieving higher levels of declarative knowledge. Finally, the effect of the absence of practical experience was identified as a determining factor for improvement. The students who had not previously practised basketball achieved higher levels of knowledge with the TGA intervention programme.
“I am Delighted!”: The Effect of Perceived Customer Value on Repurchase and Advocacy Intention in B2B Express Delivery Services
Authors: Correa Carlos , Alarcón David , Cepeda Ignacio
Published: May 2021

Express parcel delivery has increased significantly in recent years because of changes in technology and consumer habits, as has the number of express parcel delivery companies and the competitiveness among them. For an express parcel business to be sustainable, it must succeed in increasing customer perceived value (CPV). This study aims to investigate the business-to-business (B2B) performance between companies and their main express parcel service provider. The main objective was to analyze the impact of CPV on both the intention to repurchase services and the intention to recommend such services in the business-to-business (B2B) express parcel delivery sector. This study develops a research model that is analyzed in the express parcel sector in Spain using the variance-based structural equation technique, partial least squares (PLS-SEM), for data analysis. The findings reveal that with express parcel services in the B2B sector, perceived value was positively associated with the customer’s perceived satisfaction and trust, which in turn enhances the intention to repurchase and stimulates advocacy. In a market as competitive as the express parcel market in the B2B environment, customer perceived value is a critical factor in ensuring company sustainability.
Exploring the Role of a Colombian University to Promote Just Transitions. An Analysis from the Human Development and the Regional Transition Pathways to Sustainability
Authors: Velasco Diana , Boni Alejandra , Delgado Carlos , Rojas-Forero Geisler Dayani
Published: May 2021

Universities are central organisations that can act as promoters and amplifiers of regional just transitions. In this paper, we analyse how a Colombian regional university, the University of Ibagué (UI), is playing this role through two initiatives: (1) a governance experiment piloted between 2018 and 2019 that constructed an aspirational vision for this university through the definition of eight human capabilities; (2) a formal curriculum regional programme named Peace and Region (P&R) established in 2010 as a service-learning strategy for undergraduates in their final year. To analyse the contribution of these two initiatives towards a just transition, we built a specific analytical framework based on the human development and capability approach and Regional Transition Pathways to Sustainability (RTPS). Exploring both the content and the process of building the list and perceptions of the different actors involved in the P&R programme, we found that both initiatives have a strong directionality that resonates with the normative ambition of a just transition. Moreover, in both processes, people involved have expanded human capabilities, and co-produced holistic and transdisciplinary knowledge through the interaction of academic and non-academic actors. From an RTPS perspective, the programme captures regional complexity and moulds micro-dynamics to socially fair and sustainable paths.