bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Evaluation of Porous Graphene as Filter Media for the Removal of Pharmaceutical/Emerging Contaminants from Water and Wastewater
Authors: Khalil Ahmed M. E. , Memon Fayyaz A. , Tabish Tanveer A. , Fenton Ben , Salmon Deborah , Zhang Shaowei , Butler David
Published: January 2021

Graphene and its counterparts have been widely used for the removal of contaminants from (waste)water but with limited success for the removal of pharmaceutical contaminants. Driven by this need, this study reports, for the first time, the removal of pharmaceuticals from real contaminated water samples using porous graphene (PG) as a filter-based column. This work systematically evaluates the performance of PG as a filter medium for the removal of widely consumed pharmaceutical/emerging contaminants (ECs) such as atenolol, carbamazepine, ciprofloxacin, diclofenac, gemfibrozil and ibuprofen. Several factors were investigated in these column studies, including different reactive layer configurations, bed packing heights (5–45 mm), filter sizes (inner diameter 18–40 mm), adsorbent dosages (100–500 mg-PG) and water bodies (distilled water, greywater, and actual effluent wastewater). Sustainable synthesis of PG was carried out followed by its use as a filter medium for the removal of pharmaceuticals at high concentrations (10.5 ± 0.5 mg/L) and trace concentrations (1 mg/L). These findings revealed that the double-layered PG-sand column outperformed a PG single-layered configuration for the removal of most of the ECs. The removal efficiency of ECs from their solutions was improved by increasing PG dosages and filter bed height and size. Although the treatment of mixed pharmaceutical solutions from different water bodies was affected by the negative interference caused by competing water compounds, the treatment of ECs-contaminated greywater was not severely affected. Our findings suggest that PG, as a highly efficient filter medium, could be used for the removal of emerging pharmaceutical contaminants from water and wastewater.
Impacts of Music Intervention on Dementia: A Review Using Meta-Narrative Method and Agenda for Future Research
Authors: Soufineyestani Mahsa , Khan Arshia , Sufineyestani Mina
Published: January 2021

Background: Dementia, a significant cognitive impairment, is characterized by a decline in memory. It affects an individual’s mood and behavior, which can impair their quality of life and well-being. Studies show that the demand for applying music as a new therapy method for dementia has increased during the last decades. Objective: To review the studies conducted on the impacts of music on different symptoms of dementia and provide readers with a more detailed picture of the efficacy of music, and recognize gaps in the literature. Methods: Electronic searches were conducted in the Cochrane Library (1938), Embase (773), Medline and PubMed (700), PsycINFO (89), and Scopus (218) databases. The search was comprised of all the literature from 2010 to 2020. For the search, key terms including “Dementia” AND “music” OR “music intervention” OR “music therapy” and index terms “clinical trial” OR “randomized controlled trials” were used. Finally, after screening 891 citations, 30 studies were included. Results: In general, it was observed that in most cases, music could be used as one of the safe and cost-effective non-pharmacological approaches for dementia treatment. However, in some studies, no impact or short-term effect of music on some symptoms of dementia such as wandering, agitation, and cognition was detected. Conclusion: Observing no effect or even negative impact of music on people living with dementia could be due to a random selection of music, fewer individuals, and the lack of a standard protocol. High heterogeneity in outcomes did not allow for clear conclusions on the benefits of music in dementia. This demands a comprehensive non-pharmacological music treatment approach to be designed for each stage of dementia to be employed alongside pharmacological treatments. This study proposes 13 gaps in the research on the health impact of music on dementia that could be studied by future researchers.
Caregivers’ Role in the Effectiveness of Two Dutch School-Based Nutrition Education Programmes for Children Aged 7–12 Years Old
Authors: Verdonschot Angeliek , de Vet Emely , van Seeters Natalie , Warmer Jolieke , Collins Clare E. , Bucher Tamara , Haveman-Nies Annemien
Published: January 2021

Childhood eating behaviours can track into adulthood. Therefore, programmes that support early healthy eating, including school-based nutrition education programmes, are important. Although school-based programmes may be beneficial in improving nutrition knowledge, impact on actual fruit and vegetable (FV) intake is generally limited as FV intake is also influenced by the home environment. The current study includes secondary analyses of data from an evaluation study on Dutch nutrition education and examined the role of caregivers’ health promotion behaviours (HPB) in influencing healthy eating behaviours in primary school children (n = 1460, aged 7–12 years) and whether caregivers’ HPB contribute to programme effectiveness. Children’s nutrition knowledge, FV intake and caregivers’ HPB (FV/sugar-sweetened beverages/sweets provision to take to school, cooking together and talking about healthy food at home) were measured by child-reported questionnaires at baseline, during, and 6 months post-programme. Results indicated that caregivers’ HPB was positively associated with children’s healthy eating behaviours and that programme effectiveness was highest in those in the lower HPB subcategory. In conclusion, children with less encouragement to eat healthily at home potentially benefit more from school-based nutrition education programmes than children receiving more encouragement. This highlights the important role of the home environment in supporting healthy eating behaviour in children.
An Increase in Fat-Free Mass is Associated with Higher Appetite and Energy Intake in Older Adults: A Randomised Control Trial
Authors: Johnson Kelsie Olivia , Holliday Adrian , Mistry Nathan , Cunniffe Andrew , Howard Kieran , Stanger Nicholas , O’Mahoney Lauren L. , Matu Jamie , Ispoglou Theocharis
Published: January 2021

Cross-sectional studies in younger adults have demonstrated a positive association between energy intake (EI) and fat-free mass (FFM), with this relationship seemingly mediated by resting metabolic rate (RMR). Establishing a causal effect longitudinally would be prudent in older adults suffering from loss of appetite. We investigated the effects of FFM on RMR, appetite and EI in 39 healthy older adults (age: 66 ± 4 years, BMI: 25.1 ± 3.5 kg∙m2) assigned to either 12-week resistance training + protein supplementation group (RT + PRO) or control group (CON). Body composition, subjective appetite, leptin, insulin, RMR and laboratory-measured ad libitum EI were measured at baseline, weeks 6 and 12 of the intervention, while daily EI at baseline and week 12. FFM (+1.2 kg; p = 0.002), postprandial subjective appetite (+8 mm; p = 0.027), ad libitum EI (+119 kcal; p = 0.012) and daily EI (+133 kcal; p = 0.010) increased from baseline to week 12 in the RT + PRO. RMR, fasted subjective appetite, leptin and insulin concentrations remained unchanged (all p > 0.05). The increases ad libitum EI correlated with increases in FFM (r = 0.527, p = 0.001), with 54% of the change in EI attributed to FFM changes. In conclusion, FFM increases were associated with an increased ad libitum EI and postprandial appetite in older adults.
Identification and Characterization of Plant-Interacting Targets of Tomato Spotted Wilt Virus Silencing Suppressor
Authors: Zhai Ying , Gnanasekaran Prabu , Pappu Hanu R.
Published: January 2021

Tomato spotted wilt virus (TSWV; species Tomato spotted wilt orthotospovirus) is an economically important plant virus that infects multiple horticultural crops on a global scale. TSWV encodes a non-structural protein NSs that acts as a suppressor of host RNA silencing machinery during infection. Despite extensive structural and functional analyses having been carried out on TSWV NSs, its protein-interacting targets in host plants are still largely unknown. Here, we systemically investigated NSs-interacting proteins in Nicotiana benthamiana via affinity purification and mass spectrometry (AP-MS) analysis. Forty-three TSWV NSs-interacting candidates were identified in N. benthamiana. Gene Ontology (GO) and protein–protein interaction (PPI) network analyses were carried out on their closest homologs in tobacco (Nicotiana tabacum), tomatoes (Solanum lycopersicum) and Arabidopsis (Arabidopsis thaliana). The results showed that NSs preferentially interacts with plant defense-related proteins such as calmodulin (CaM), importin, carbonic anhydrase and two heat shock proteins (HSPs): HSP70 and HSP90. As two major nodes in the PPI network, CaM and importin subunit α were selected for the further verification of their interactions with NSs via yeast two-hybrid (Y2H) screening. Our work suggests that the downstream signaling, transportation and/or metabolic pathways of host-NSs-interacting proteins may play critical roles in NSs-facilitated TSWV infection.
Co-Infection with Anaplasma Species and Novel Genetic Variants Detected in Cattle and Goats in the Republic of Korea
Authors: Miranda Evelyn Alejandra , Han Sun-Woo , Cho Yoon-Kyong , Choi Kyoung-Seong , Chae Joon-Seok
Published: January 2021

Anaplasmosis, a tick-borne disease with multiple reservoirs, has been evolving in its pathogenesis, increasing domestic ruminants susceptibility to simultaneous infections with multiple pathogens. However, there is limited information regarding anaplasmosis in domestic ruminants in the Republic of Korea (ROK). We aimed to evaluate the role of Korean cattle and goats in Anaplasma infection maintenance. Polymerase chain reaction was performed to investigate the prevalence and genetic diversity of Anaplasma spp. from 686 whole blood samples collected from different ROK provinces. Anaplasma infection was mostly caused by A. phagocytophilum (21.1%) in cattle, and A. bovis (7.3%) in goats. Co-infection cases were found in cattle: A. bovis and A. phagocytophilum (16.7%), and in goats: A. bovis and A. capra (1.0%). Notably, a triple co-infection with A. bovis, A. phagocytophilum, and A. capra was found in one cow. Phylogenetic analysis revealed novel variants of the A. phagocytophilum 16S rRNA and A. capragltA genes. This research contributes to the ratification of cattle as a potential reservoir of A. capra and demonstrates Anaplasma co-infection types in Korean domestic ruminants. As anaplasmosis is a zoonotic disease, our study could be crucial in making important decisions for public health.
Evaluation of Different Bacterial Wilt Resistant Eggplant Rootstocks for Grafting Tomato
Authors: Manickam Ravishankar , Chen Jaw-Rong , Sotelo-Cardona Paola , Kenyon Lawrence , Srinivasan Ramasamy
Published: January 2021

Bacterial wilt (BW) is one of the most economically important diseases of tomato and eggplant in the tropics and subtropics, and grafting onto resistant rootstocks can provide an alternative and effective solution to manage soil-borne bacterial in these crops. This study was conducted to evaluate the BW resistance and agronomic potential of newly identified eggplant accessions as rootstocks for tomato grafting. Five BW resistant eggplant accessions (VI041809A, VI041943, VI041945, VI041979A, and VI041984) from the World Vegetable Center were evaluated as rootstocks for grafting with two different fresh market tomato cultivars (Victoria and TStarE) as scion under open field conditions in Taiwan. Graft compatibility using the tube grafting method as well as BW wilting percentage, disease index, fruit yield and quality parameters were assessed. All the rootstocks showed good graft compatibility (93% and above) and grafted plants showed low wilting percentage (0.0–20.0%) and disease index (0.0–20.8%) following inoculation with BW. Yield for the eggplant rootstock grafted tomato plants was higher compared to the non-grafted tomatoes and self-grafted tomato. Fruit quality was not affected by grafting, although some differences in antioxidant activities were observed. The new eggplant rootstocks can be considered as alternatives to the rootstocks currently used for commercial production of tomatoes during the hot-wet season.
Plant Growth-Promoting Endophytic Bacterial Community Inhabiting the Leaves of Pulicaria incisa (Lam.) DC Inherent to Arid Regions
Authors: Fouda Amr , Eid Ahmed M. , Elsaied Albaraa , El-Belely Ehab F. , Barghoth Mohammed G. , Azab Ehab , Gobouri Adil A. , Hassan Saad El-Din
Published: January 2021

In this study, 15 bacterial endophytes linked with the leaves of the native medicinal plant Pulicaria incisa were isolated and identified as Agrobacterium fabrum, Acinetobacter radioresistant, Brevibacillus brevis, Bacillus cereus, Bacillus subtilis, Paenibacillus barengoltzii, and Burkholderia cepacia. These isolates exhibited variant tolerances to salt stress and showed high efficacy in indole-3-acetic acid (IAA) production in the absence/presence of tryptophan. The maximum productivity of IAA was recorded for B. cereus BI-8 and B. subtilis BI-10 with values of 117 ± 6 and 108 ± 4.6 μg mL−1, respectively, in the presence of 5 mg mL−1 tryptophan after 10 days. These two isolates had a high potential in phosphate solubilization and ammonia production, and they showed enzymatic activities for amylase, protease, xylanase, cellulase, chitinase, and catalase. In vitro antagonistic investigation showed their high efficacy against the three phytopathogens Fusarium oxysporum, Alternaria alternata, and Pythium ultimum, with inhibition percentages ranging from 20% ± 0.2% to 52.6% ± 0.2% (p ≤ 0.05). Therefore, these two endophytic bacteria were used as bio-inoculants for maize seeds, and the results showed that bacterial inoculations significantly increased the root length as well as the fresh and dry weights of the roots compared to the control plants. The Zea mays plant inoculated with the two endophytic strains BI-8 and BI-10 significantly improved (p ≤ 0.05) the growth performance as well as the nutrient uptake compared with an un-inoculated plant.
High-Pressure Crystallization of iPP Nucleated with 1,3:2,4-bis(3,4-dimethylbenzylidene)sorbitol
Authors: Sowinski Przemyslaw , Piorkowska Ewa , Boyer Severine A. E. , Haudin Jean-Marc
Published: January 2021

1,3:2,4-bis(3,4-dimethylbenzylidene)sorbitol (DMDBS) is highly effective in nucleation of the α- form of isotactic polypropylene (iPP). However, its role in high-pressure crystallization of iPP, facilitating the formation of the γ- polymorph, has not been explored. The present paper focuses on the influence of DMDBS on nucleation of high-pressure crystallization of iPP. iPP with 0.2–1.0 wt.% of the DMDBS was crystallized under elevated pressure, up to 300 MPa, in various thermal conditions, and then analyzed by PLM, WAXD, SEM, and DSC. During cooling, crystallization temperatures (Tc) were determined. It was found that under high-pressure DMDBS nucleated crystallization of iPP in the orthorhombic γ- form. As a consequence, Tc and the γ- form content increased for the nucleated iPP, while the size of polycrystalline aggregates decreased, although the effects depended on DMDBS content. The significant increase of Tc and the decrease of grain size under high pressure of 200–300 MPa required higher content of DMDBS than the nucleation of the α-form under lower pressure, possibly due to the effect of pressure on crystallization of DMDBS itself, which is a prerequisite for its nucleating activity.
Enhanced Thermal Conductivity of Epoxy Composites Filled with Al2O3/Boron Nitride Hybrids for Underfill Encapsulation Materials
Authors: Lee Sanchez William Anderson , Huang Chen-Yang , Chen Jian-Xun , Soong Yu-Chian , Chan Ying-Nan , Chiou Kuo-Chan , Lee Tzong-Ming , Cheng Chih-Chia , Chiu Chih-Wei
Published: January 2021

In this study, a thermal conductivity of 0.22 W·m−1·K−1 was obtained for pristine epoxy (EP), and the impact of a hybrid filler composed of two-dimensional (2D) flake-like boron nitride (BN) and zero-dimensional (0D) spherical micro-sized aluminum oxide (Al2O3) on the thermal conductivity of epoxy resin was investigated. With 80 wt.% hybrid Al2O3–BN filler contents, the thermal conductivity of the EP composite reached 1.72 W·m−1·K−1, increasing approximately 7.8-fold with respect to the pure epoxy matrix. Furthermore, different important properties for the application were analyzed, such as Fourier-transform infrared (FTIR) spectra, viscosity, morphology, coefficient of thermal expansion (CTE), glass transition temperature (Tg), decomposition temperature (Td), dielectric properties, and thermal infrared images. The obtained thermal performance is suitable for specific electronic applications such as flip-chip underfill packaging.
Print Velocity Effects on Strain-Rate Sensitivity of Acrylonitrile-Butadiene-Styrene Using Material Extrusion Additive Manufacturing
Authors: Verbeeten Wilco M. H. , Arnold-Bik Rob J. , Lorenzo-Bañuelos Miriam
Published: January 2021

The strain-rate sensitivity of the yield stress for Acrylonitrile-Butadiene-Styrene (ABS) tensile samples processed via material extrusion additive manufacturing (ME-AM) was investigated. Such specimens show molecular orientation and interstitial voids that affect the mechanical properties. Apparent densities were measured to compensate for the interstitial voids. Three different printing speeds were used to generate ME-AM tensile test samples with different molecular orientation. Printing velocities influenced molecular orientation and stretch, as determined from thermal shrinkage measurements. Likewise, infill velocity affected the strain-rate dependence of the yield stress. The ABS material manifests thermorheollogically simple behavior that can correctly be described by an Eyring flow rule. The changing activation volume, as a result of a varying print velocity, scales linearly with the molecular orientation, as captured in an estimated processing-induced pre-strain. Therefore, it is suggested that ME-AM processed ABS shows a deformation-dependent activation volume. This paper can be seen as initial work that can help to improve quantitative predictive numerical tools for ME-AM, taking into account the effects that the processing step has on the mechanical properties.
A 3D Printed Composite Scaffold Loaded with Clodronate to Regenerate Osteoporotic Bone: In Vitro Characterization
Authors: Cometa Stefania , Bonifacio Maria Addolorata , Tranquillo Elisabetta , Gloria Antonio , Domingos Marco , De Giglio Elvira
Published: January 2021

Additive manufacturing (AM) is changing our current approach to the clinical treatment of bone diseases, providing new opportunities to fabricate customized, complex 3D structures with bioactive materials. Among several AM techniques, the BioCell Printing is an advanced, integrated system for material manufacture, sterilization, direct cell seeding and growth, which allows for the production of high-resolution micro-architectures. This work proposes the use of the BioCell Printing to fabricate polymer-based scaffolds reinforced with ceramics and loaded with bisphosphonates for the treatment of osteoporotic bone fractures. In particular, biodegradable poly(ε-caprolactone) was blended with hydroxyapatite particles and clodronate, a bisphosphonate with known efficacy against several bone diseases. The scaffolds’ morphology was investigated by means of Scanning Electron Microscopy (SEM) and micro-Computed Tomography (micro-CT) while Energy Dispersive X-ray Spectroscopy (EDX) and X-ray Photoelectron Spectroscopy (XPS) revealed the scaffolds’ elemental composition. A thermal characterization of the composites was accomplished by Thermogravimetric analyses (TGA). The mechanical performance of printed scaffolds was investigated under static compression and compared against that of native human bone. The designed 3D scaffolds promoted the attachment and proliferation of human MSCs. In addition, the presence of clodronate supported cell differentiation, as demonstrated by the normalized alkaline phosphatase activity. The obtained results show that the BioCell Printing can easily be employed to generate 3D constructs with pre-defined internal/external shapes capable of acting as a temporary physical template for regeneration of cancellous bone tissues.
Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship
Authors: Yu Rufang , Zhu Chengyan , Wan Junmin , Li Yongqiang , Hong Xinghua
Published: January 2021

Graphene-based textile strain sensors were reviewed in terms of their preparation methods, performance, and applications with particular attention on its forming method, the key properties (sensitivity, stability, sensing range and response time), and comparisons. Staple fiber strain sensors, staple and filament strain sensors, nonwoven fabric strain sensors, woven fabric strain sensors and knitted fabric strain sensors were summarized, respectively. (i) In general, graphene-based textile strain sensors can be obtained in two ways. One method is to prepare conductive textiles through spinning and weaving techniques, and the graphene worked as conductive filler. The other method is to deposit graphene-based materials on the surface of textiles, the graphene served as conductive coatings and colorants. (ii) The gauge factor (GF) value of sensor refers to its mechanical and electromechanical properties, which are the key evaluation indicators. We found the absolute value of GF of graphene-based textile strain sensor could be roughly divided into two trends according to its structural changes. Firstly, in the recoverable deformation stage, GF usually decreased with the increase of strain. Secondly, in the unrecoverable deformation stage, GF usually increased with the increase of strain. (iii) The main challenge of graphene-based textile strain sensors was that their application capacity received limited studies. Most of current studies only discussed washability, seldomly involving the impact of other environmental factors, including friction, PH, etc. Based on these developments, this work was done to provide some merit to references and guidelines for the progress of future research on flexible and wearable electronics.
Temperature-Modulated Scanning Calorimetry of Melting–Recrystallization of Poly(butylene terephthalate)
Authors: Toda Akihiko
Published: January 2021

The melting and recrystallization behaviors of poly(butylene terephthalate) (PBT) were investigated using temperature-modulated scanning calorimetry in both fast- and conventional slow-scan modes. With this method, the response of multiple transition kinetics, such as melting and recrystallization, can be differentiated by utilizing the difference in the time constants of the kinetics. In addition to the previous result of temperature-modulated fast-scan calorimetry of polyethylene terephthalate (PET), the supporting evidence of another aromatic polyester, PBT, confirmed the behavior of the exothermic process of recrystallization, which proceeds simultaneously with melting on heating scan in the temperature range of double melting peaks starting just above the crystallization temperature up to the main melting peak. Because the crystallization of PBT is much more pronounced than that of PET, similar behavior of recrystallization was obtained by the conventional temperature-modulated differential scanning calorimetry at a slow-scan rate.
Influence of the Ni-Co/Al-Mg Catalyst Loading in the Continuous Aqueous Phase Reforming of the Bio-Oil Aqueous Fraction
Authors: Lozano Pablo , Simón Ana , García Lucía , Ruiz Joaquín , Oliva Miriam , Arauzo Jesús
Published: January 2021

The effect of catalyst loading in the Aqueous Phase Reforming (APR) of bio-oil aqueous fraction has been studied with a Ni-Co/Al-Mg coprecipitated catalyst. Because of the high content of water in the bio-oil aqueous fraction, APR could be a useful process to convert this fraction into valuable products. Experiments of APR with continuous feeding of aqueous solution of acetol, butanol and acetic acid as the only compound, together with a simulated and a real aqueous fraction of bio-oil, were carried out. Liquid products in the liquid effluent of the APR model compounds were quantified and the reaction pathways were revised. The increase of catalyst loading produced an increase of gas production and a gas with higher alkanes content. Acetol was the compound with the highest reactivity while the conversion of acetic acid was very low. The presence of acetic acid in the feed caused catalyst deactivation.
Funeral for a Homeless Vagrant? Religious and Social Margins
Authors: Bregman Lucy
Published: January 2021

A “homeless vagrant” was the term used by Protestant clergy of the first half of the twentieth century for a man without name, family or history who died on the street. Clergy were asked to perform a funeral for him, but as his religious status was unknown, his funeral posed a problem for them. How could one preach a hopeful Christian message, for one who may not have had faith in Christ? This paper uses pastors’ manuals and sermon collections to understand how this kind of “problem funeral” was interpreted as an example of a marginal death both religiously and socially. Although there were no mourners, the purpose of the funeral was worship of God, who was always ready to receive us. The homeless vagrant’s funeral was also an occasion for reproach, against the anonymity, impersonality and moral danger of urban life. The homeless vagrant’s extreme isolation and abandonment made him a warning to all. The paper closes with the contrast between this view of death on the street, and that conveyed in recent Homeless Persons Memorial Day services, organized by activists for the homeless. The latter see the homeless as persons with names and stories, part of a counter-community in cities. The tone of reproach is much more prominent here, too. Society has failed these people.
Wheat Yellow Rust Detection Using UAV-Based Hyperspectral Technology
Authors: Guo Anting , Huang Wenjiang , Dong Yingying , Ye Huichun , Ma Huiqin , Liu Bo , Wu Wenbin , Ren Yu , Ruan Chao , Geng Yun
Published: January 2021

Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat production. Numerous studies on near-surface hyperspectral remote sensing at the leaf scale have achieved good results for disease monitoring. The next step is to monitor the disease at the field scale, which is of great significance for disease control. In our study, an unmanned aerial vehicle (UAV) equipped with a hyperspectral sensor was used to obtain hyperspectral images at the field scale. Vegetation indices (VIs) and texture features (TFs) extracted from the UAV-based hyperspectral images and their combination were used to establish partial least-squares regression (PLSR)-based disease monitoring models in different infection periods. In addition, we resampled the original images with 1.2 cm spatial resolution to images with different spatial resolutions (3 cm, 5 cm, 7 cm, 10 cm, 15 cm, and 20 cm) to evaluate the effect of spatial resolution on disease monitoring accuracy. The findings showed that the VI-based model had the highest monitoring accuracy (R2 = 0.75) in the mid-infection period. The TF-based model could be used to monitor yellow rust at the field scale and obtained the highest R2 in the mid- and late-infection periods (0.65 and 0.82, respectively). The VI-TF-based models had the highest accuracy in each infection period and outperformed the VI-based or TF-based models. The spatial resolution had a negligible influence on the VI-based monitoring accuracy, but significantly influenced the TF-based monitoring accuracy. Furthermore, the optimal spatial resolution for monitoring yellow rust using the VI-TF-based model in each infection period was 10 cm. The findings provide a reference for accurate disease monitoring using UAV hyperspectral images.
Imputing Satellite-Derived Aerosol Optical Depth Using a Multi-Resolution Spatial Model and Random Forest for PM2.5 Prediction
Authors: Kianian Behzad , Liu Yang , Chang Howard H.
Published: January 2021

A task for environmental health research is to produce complete pollution exposure maps despite limited monitoring data. Satellite-derived aerosol optical depth (AOD) is frequently used as a predictor in various models to improve PM2.5 estimation, despite significant gaps in coverage. We analyze PM2.5 and AOD from July 2011 in the contiguous United States. We examine two methods to aid in gap-filling AOD: (1) lattice kriging, a spatial statistical method adapted to handle large amounts data, and (2) random forest, a tree-based machine learning method. First, we evaluate each model’s performance in the spatial prediction of AOD, and we additionally consider ensemble methods for combining the predictors. In order to accurately assess the predictive performance of these methods, we construct spatially clustered holdouts to mimic the observed patterns of missing data. Finally, we assess whether gap-filling AOD through one of the proposed ensemble methods can improve prediction of PM2.5 in a random forest model. Our results suggest that ensemble methods of combining lattice kriging and random forest can improve AOD gap-filling. Based on summary metrics of performance, PM2.5 predictions based on random forest models were largely similar regardless of the inclusion of gap-filled AOD, but there was some variability in daily model predictions.
YOLOv3-Based Matching Approach for Roof Region Detection from Drone Images
Authors: Yeh Chia-Cheng , Chang Yang-Lang , Alkhaleefah Mohammad , Hsu Pai-Hui , Eng Weiyong , Koo Voon-Chet , Huang Bormin , Chang Lena
Published: January 2021

Due to the large data volume, the UAV image stitching and matching suffers from high computational cost. The traditional feature extraction algorithms—such as Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), and Oriented FAST Rotated BRIEF (ORB)—require heavy computation to extract and describe features in high-resolution UAV images. To overcome this issue, You Only Look Once version 3 (YOLOv3) combined with the traditional feature point matching algorithms is utilized to extract descriptive features from the drone dataset of residential areas for roof detection. Unlike the traditional feature extraction algorithms, YOLOv3 performs the feature extraction solely on the proposed candidate regions instead of the entire image, thus the complexity of the image matching is reduced significantly. Then, all the extracted features are fed into Structural Similarity Index Measure (SSIM) to identify the corresponding roof region pair between consecutive image sequences. In addition, the candidate corresponding roof pair by our architecture serves as the coarse matching region pair and limits the search range of features matching to only the detected roof region. This further improves the feature matching consistency and reduces the chances of wrong feature matching. Analytical results show that the proposed method is 13× faster than the traditional image matching methods with comparable performance.
Relation-Constrained 3D Reconstruction of Buildings in Metropolitan Areas from Photogrammetric Point Clouds
Authors: Li Yuan , Wu Bo
Published: January 2021

The complexity and variety of buildings and the defects of point cloud data are the main challenges faced by 3D urban reconstruction from point clouds, especially in metropolitan areas. In this paper, we developed a method that embeds multiple relations into a procedural modelling process for the automatic 3D reconstruction of buildings from photogrammetric point clouds. First, a hybrid tree of constructive solid geometry and boundary representation (CSG-BRep) was built to decompose the building bounding space into multiple polyhedral cells based on geometric-relation constraints. The cells that approximate the shapes of buildings were then selected based on topological-relation constraints and geometric building models were generated using a reconstructing CSG-BRep tree. Finally, different parts of buildings were retrieved from the CSG-BRep trees, and specific surface types were recognized to convert the building models into the City Geography Markup Language (CityGML) format. The point clouds of 105 buildings in a metropolitan area in Hong Kong were used to evaluate the performance of the proposed method. Compared with two existing methods, the proposed method performed the best in terms of robustness, regularity, and topological correctness. The CityGML building models enriched with semantic information were also compared with the manually digitized ground truth, and the high level of consistency between the results suggested that the produced models will be useful in smart city applications.
Location Determination of Impact on the Wind Turbine Blade Surface Based on the FBG and the Time Difference
Authors: Wang Bingkai , Sun Wenlei , Wang Hongwei , Wan Yunfa , Xu Tiantian
Published: January 2021

This paper proposes an approach to the determination of the precise location of an impact on the surface of a wind turbine blade (WTB) based on a fiber Bragg grating (FBG) and the time difference, and its effectiveness is verified by experiments. First, the strain on the WTB surface is detected with an FBG. Then, the signal is decomposed into a series of components via variational mode decomposition (VMD), and some signals with impact characteristics are chosen for reconstruction. The instant energy of the reconstructed signal is then amplified through the Teager energy operator (TEO) to identify the time difference between FBGs. Finally, the coordinate of the impact point is obtained by solving the hyperbolic mode with the time difference. The results of experiments demonstrate that the proposed approach exhibits good performance with high accuracy (97%) and low error (12.3 mm).
Forward and Inverse Dynamics of a Six-Axis Accelerometer Based on a Parallel Mechanism
Authors: Wang Linkang , You Jingjing , Yang Xiaolong , Chen Huaxin , Li Chenggang , Wu Hongtao
Published: January 2021

The solution of the dynamic equations of the six-axis accelerometer is a prerequisite for sensor calibration, structural optimization, and practical application. However, the forward dynamic equations (FDEs) and inverse dynamic equations (IDEs) of this type of system have not been completely solved due to the strongly nonlinear coupling relationship between the inputs and outputs. This article presents a comprehensive study of the FDEs and IDEs of the six-axis accelerometer based on a parallel mechanism. Firstly, two sets of dynamic equations of the sensor are constructed based on the Newton–Euler method in the configuration space. Secondly, based on the analytical solution of the sensor branch chain length, the coordination equation between the output signals of the branch chain is constructed. The FDEs of the sensor are established by combining the coordination equations and two sets of dynamic equations. Furthermore, by introducing generalized momentum and Hamiltonian function and using Legendre transformation, the vibration differential equations (VDEs) of the sensor are derived. The VDEs and Newton–Euler equations constitute the IDEs of the system. Finally, the explicit recursive algorithm for solving the quaternion in the equation is given in the phase space. Then the IDEs are solved by substituting the quaternion into the dynamic equations in the configuration space. The predicted numerical results of the established FDEs and IDEs are verified by comparing with virtual and actual experimental data. The actual experiment shows that the relative errors of the FDEs and the IDEs constructed in this article are 2.21% and 7.65%, respectively. This research provides a new strategy for further improving the practicability of the six-axis accelerometer.
Model Evaluation of the Influence of the Plunger Stroke on Functional Parameters of the Low-Pressure Pulse Gas Solenoid Injector
Authors: Szpica Dariusz , Kusznier Michał
Published: January 2021

The article presents a model-based evaluation of the impact of the plunger stroke on functional parameters of the low-pressure pulse gas solenoid injector. A reduced-order physics-based mathematical model was used to achieve this goal. The model was built on the basis of specified simplifications of the process, considering the forces that cause the plunger to move and the forces constituting resistance to its displacement. The implementation of a mathematical description in to the Matlab-Simulink environment allowed one to determine the characteristic values of operation of the Valtek Rail Type-30 injector, including plunger displacement courses. Calculations made with the assumption of the factory plunger stroke confirmed the validity of the model. The differences in opening and closing times were below 3% in comparison to the values given in the objects technical information. By assuming a specific plunger stroke, the functional relationships of opening and closing times were determined. The results showed a distortion of the force–response dependence for different plunger strokes. Results presented in the article can be used to support control-oriented modeling of systems incorporating pulsed gas dosing devices, such as combustion engines or gas turbines. More specifically, the proposed method can be used to pre-calibrate the delay time of the injector operation.
Deepint.net: A Rapid Deployment Platform for Smart Territories
Authors: Corchado Juan M. , Chamoso Pablo , Hernández Guillermo , Gutierrez Agustín San Roman , Camacho Alberto Rivas , González-Briones Alfonso , Pinto-Santos Francisco , Goyenechea Enrique , Garcia-Retuerta David , Alonso-Miguel María , Hernandez Beatriz Bellido , Villaverde Diego Valdeolmillos , Sanchez-Verdejo Manuel , Plaza-Martínez Pablo , López-Pérez Manuel , Manzano-García Sergio , Alonso Ricardo S. , Casado-Vara Roberto , Tejedor Javier Prieto , Prieta Fernando de la , Rodríguez-González Sara , Parra-Domínguez Javier , Mohamad Mohd Saberi , Trabelsi Saber , Díaz-Plaza Enrique , Garcia-Coria Jose Alberto , Yigitcanlar Tan , Novais Paulo , Omatu Sigeru
Published: January 2021

This paper presents an efficient cyberphysical platform for the smart management of smart territories. It is efficient because it facilitates the implementation of data acquisition and data management methods, as well as data representation and dashboard configuration. The platform allows for the use of any type of data source, ranging from the measurements of a multi-functional IoT sensing devices to relational and non-relational databases. It is also smart because it incorporates a complete artificial intelligence suit for data analysis; it includes techniques for data classification, clustering, forecasting, optimization, visualization, etc. It is also compatible with the edge computing concept, allowing for the distribution of intelligence and the use of intelligent sensors. The concept of smart cities is evolving and adapting to new applications; the trend to create intelligent neighbourhoods, districts or territories is becoming increasingly popular, as opposed to the previous approach of managing an entire megacity. In this paper, the platform is presented, and its architecture and functionalities are described. Moreover, its operation has been validated in a case study where the bike renting service of Paris—Vélib’ Métropole has been managed. This platform could enable smart territories to develop adapted knowledge management systems, adapt them to new requirements and to use multiple types of data, and execute efficient computational and artificial intelligence algorithms. The platform optimizes the decisions taken by human experts through explainable artificial intelligence models that obtain data from IoT sensors, databases, the Internet, etc. The global intelligence of the platform could potentially coordinate its decision-making processes with intelligent nodes installed in the edge, which would use the most advanced data processing techniques.
Visual Echolocation Concept for the Colorophone Sensory Substitution Device Using Virtual Reality
Authors: Bizoń-Angov Patrycja , Osiński Dominik , Wierzchoń Michał , Konieczny Jarosław
Published: January 2021

Detecting characteristics of 3D scenes is considered one of the biggest challenges for visually impaired people. This ability is nonetheless crucial for orientation and navigation in the natural environment. Although there are several Electronic Travel Aids aiming at enhancing orientation and mobility for the blind, only a few of them combine passing both 2D and 3D information, including colour. Moreover, existing devices either focus on a small part of an image or allow interpretation of a mere few points in the field of view. Here, we propose a concept of visual echolocation with integrated colour sonification as an extension of Colorophone—an assistive device for visually impaired people. The concept aims at mimicking the process of echolocation and thus provides 2D, 3D and additionally colour information of the whole scene. Even though the final implementation will be realised by a 3D camera, it is first simulated, as a proof of concept, by using VIRCO—a Virtual Reality training and evaluation system for Colorophone. The first experiments showed that it is possible to sonify colour and distance of the whole scene, which opens up a possibility to implement the developed algorithm on a hardware-based stereo camera platform. An introductory user evaluation of the system has been conducted in order to assess the effectiveness of the proposed solution for perceiving distance, position and colour of the objects placed in Virtual Reality.
Complete Ring Artifacts Reduction Procedure for Lab-Based X-ray Nano CT Systems
Authors: Šalplachta Jakub , Zikmund Tomáš , Zemek Marek , Břínek Adam , Takeda Yoshihiro , Omote Kazuhiko , Kaiser Jozef
Published: January 2021

In this article, we introduce a new ring artifacts reduction procedure that combines several ideas from existing methods into one complex and robust approach with a goal to overcome their individual weaknesses and limitations. The procedure differentiates two types of ring artifacts according to their cause and character in computed tomography (CT) data. Each type is then addressed separately in the sinogram domain. The novel iterative schemes based on relative total variations (RTV) were integrated to detect the artifacts. The correction process uses the image inpainting, and the intensity deviations smoothing method. The procedure was implemented in scope of lab-based X-ray nano CT with detection systems based on charge-coupled device (CCD) and scientific complementary metal–oxide–semiconductor (sCMOS) technologies. The procedure was then further tested and optimized on the simulated data and the real CT data of selected samples with different compositions. The performance of the procedure was quantitatively evaluated in terms of the artifacts’ detection accuracy, the comparison with existing methods, and the ability to preserve spatial resolution. The results show a high efficiency of ring removal and the preservation of the original sample’s structure.
Metallic 2H-Tantalum Selenide Nanomaterials as Saturable Absorber for Dual-Wavelength Q-Switched Fiber Laser
Authors: Yang Lingling , Zhao Ruwei , Wu Duanduan , Xu Tianxiang , Liu Xiaobiao , Nie Qiuhua , Dai Shixun
Published: January 2021

A novel 2H-phase transition metal dichalcogenide (TMD)–tantalum selenide (TaSe2) with metallic bandgap structure is a potential photoelectric material. A band structure simulation of TaSe2 via ab initio method indicated its metallic property. An effective multilayered TaSe2 saturable absorber (SA) was fabricated using liquid-phase exfoliation and optically driven deposition. The prepared 2H–TaSe2 SA was successfully used for a dual-wavelength Q-switched fiber laser with the minimum pulse width of 2.95 μs and the maximum peak power of 64 W. The repetition rate of the maximum pulse energy of 89.9 kHz was at the level of 188.9 nJ. The metallic 2H–TaSe2 with satisfactory saturable absorbing capability is a promising candidate for pulsed laser applications.
Possibilities of Broadband Power Line Communications for Smart Home and Smart Building Applications
Authors: Mlýnek Petr , Rusz Martin , Benešl Lukáš , Sláčik Ján , Musil Petr
Published: January 2021

Broadband Power Line communication is considered as one of possible communication technologies for the buildings communication infrastructure in the concept of Smart Building. The possible applications where BPL (Broadband over Power Lines) solution can be used for communication in the concept of Smart Building are Power Quality (PQ) measurement, Electric Vehicle or Micro Grids and Distribution Generation (DG). This article should help to determine clear performance possibilities of BPL for an implementation in Smart Building especially due to a large amount of overhead caused by cybersecurity and the protocol overhead. The possibilities of BPL were measured with five different BPL solutions. The results show a sufficient throughput on the application layer for Smart Building application, because, in the literature, various throughput limits are introduced. According to related work, there are missing measurements on the application layer for laboratory conditions as well as compared with real field measurements. In this article, we also exploit our novel idea of a broadband PLC (Power Line Communication) modem integrated into an electrical outlet.
Crafting New Narratives of Diasporic Resistance with Indo-Caribbean Women and Gender-Expansive People across Generations
Authors: Balaram Arita
Published: January 2021

This study used participatory oral history and digital archiving to explore two interrelated questions: How do Indo-Caribbean women and gender-expansive people across generations experience processes of storytelling? What are the challenges and possibilities of oral history and digital archiving for constructing alternative histories and genealogies of resistance? In the first phase of the study, twelve Indo-Caribbean women and gender-expansive people across generations participated in an oral history workshop where they were introduced to oral history methods, co-created an interview guide, conducted oral history interviews of one another, and engaged in collective reflection about processes of storytelling. In the second phase, four co-authors of a community-owned digital archive participated in semi-structured interviews about their work to craft new narratives of diasporic resistance rooted in the everyday stories of Indo-Caribbean women and gender-expansive people. In this paper, I analyze how Indo-Caribbean women and gender-expansive people practice resistance by breaking silences in their communities around gender-based oppression, shift norms through producing analyses of their own stories, and reshape community narratives. Furthermore, I explore how oral history participants and co-authors of a digital archive understand the risks associated with sharing stories, raising the ethical dilemmas associated with conceptualizing storytelling as purely liberatory.
Making School Children’s Participation in Planning Processes a Routine Practice
Authors: Stenberg Jenny , Fryk Lasse
Published: January 2021

Children’s participation in planning has been investigated to some extent. There are, however, unexplored topics, particularly concerning what is needed for children’s participation to become a regular process. Based on case studies in Sweden, this article draws some conclusions. It is quite possible to organize ordinary processes where children participate in community building, in collaboration with planners, as part of their schoolwork. The key question is how this can be done. Clearly, it needs to occur in close collaboration with teachers and pupils, however it also needs to be implemented in a system-challenging manner. Thus, rather than looking for tools with potential to work in the existing school and planners’ world, it is important to design research that aims to create learning processes that have the potential to change praxis. Hence, it is not the case that tools are not needed, rather that children need to help to develop them.