bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and Antiviral Evaluation of 3′-Fluoro-5′-norcarbocyclic Nucleoside Phosphonates Bearing Uracil and Cytosine as Potential Antiviral Agents
Authors: Geant Pierre-Yves , Uttaro Jean-Pierre , Périgaud Christian , Mathé Christophe
Published: August 2020

Carbocyclic nucleoside analogues are an essential class of antiviral agents and are commonly used in the treatment of viral diseases (hepatitis B, AIDS). Recently, we reported the racemic synthesis and the anti-human immunodeficiency virus activities (HIV) of 3′-fluoro-5′-norcarbocyclic nucleoside phosphonates bearing purines as heterocyclic base. Based on these results, the corresponding racemic norcarbocyclic nucleoside phosphonates bearing pyrimidine bases were synthesized. The prepared compounds were evaluated against HIV, but none of them showed marked antiviral activity compared to their purine counterparts.
The Potential of High Voltage Discharges for Green Solvent Extraction of Bioactive Compounds and Aromas from Rosemary (Rosmarinus officinalis L.)—Computational Simulation and Experimental Methods
Authors: Nutrizio Marinela , Gajdoš Kljusurić Jasenka , Marijanović Zvonimir , Dubrović Igor , Viskić Marko , Mikolaj Elena , Chemat Farid , Režek Jambrak Anet
Published: August 2020

Rosemary (Rosmarinus officinalis L.) is a Mediterranean medicinal and aromatic plant widely used due to valuable bioactive compounds (BACs) and aromas. The aim of the study was to evaluate the extraction of intracellular compounds from rosemary combining experimental procedure by means of high voltage electrical discharge (HVED), with a theoretical approach using two computational simulation methods: conductor-like screening model for real solvents and Hansen solubility parameters. The optimal HVED parameters were as follows: frequency 100 Hz, pulse width 400 ns, gap between electrodes 15 mm, liquid to solid ratio 50 mL/g, voltage 15 and 20 kV for argon, and 20 and 25 kV for nitrogen gas. Green solvents were used, water and ethanol (25% and 50%). The comparison was done with modified conventional extraction (CE) extracted by magnetic stirring and physicochemical analyses of obtained extracts were done. Results showed that HVED extracts in average 2.13-times higher total phenol content compared to CE. Furthermore, nitrogen, longer treatment time and higher voltage enhanced higher yields in HVED extraction. HVED was confirmed to have a high potential for extraction of BACs from rosemary. The computational stimulation methods were confirmed by experimental study, ethanol had higher potential of solubility of BACs and aromas from rosemary compared to water.
Hollow Silica Particles: Recent Progress and Future Perspectives
Authors: Sharma Jaswinder , Polizos Georgios
Published: August 2020

Hollow silica particles (or mesoporous hollow silica particles) are sought after for applications across several fields, including drug delivery, battery anodes, catalysis, thermal insulation, and functional coatings. Significant progress has been made in hollow silica particle synthesis and several new methods are being explored to use these particles in real-world applications. This review article presents a brief and critical discussion of synthesis strategies, characterization techniques, and current and possible future applications of these particles.
Cholesterol and Inflammation in Atherosclerosis: An Immune-Metabolic Hypothesis
Authors: Mauricio Didac , Castelblanco Esmeralda , Alonso Nuria
Published: August 2020

Atherosclerotic cardiovascular disease (ASCVD) is a major cause of morbidity and mortality worldwide [...]
A High Polyphenol Diet Improves Psychological Well-Being: The Polyphenol Intervention Trial (PPhIT)
Authors: Kontogianni Meropi D. , Vijayakumar Aswathy , Rooney Ciara , Noad Rebecca L. , Appleton Katherine M. , McCarthy Danielle , Donnelly Michael , Young Ian S. , McKinley Michelle C. , McKeown Pascal P. , Woodside Jayne V.
Published: August 2020

Mental ill health is currently one of the leading causes of disease burden worldwide. A growing body of data has emerged supporting the role of diet, especially polyphenols, which have anxiolytic and antidepressant-like properties. The aim of the present study was to assess the effect of a high polyphenol diet (HPD) compared to a low polyphenol diet (LPD) on aspects of psychological well-being in the Polyphenol Intervention Trial (PPhIT). Ninety-nine mildly hypertensive participants aged 40–65 years were enrolled in a four-week LPD washout period and then randomised to either an LPD or an HPD for eight weeks. Both at baseline and the end of intervention, participants’ lifestyle and psychological well-being were assessed. The participants in the HPD group reported a decrease in depressive symptoms, as assessed by the Beck Depression Inventory-II, and an improvement in physical component and mental health component scores as assessed with 36-Item Short Form Survey. No differences in anxiety, stress, self-esteem or body image perception were observed. In summary, the study findings suggest that the adoption of a polyphenol-rich diet could potentially lead to beneficial effects including a reduction in depressive symptoms and improvements in general mental health status and physical health in hypertensive participants.
The Effect of a Multivitamin and Mineral Supplement on Immune Function in Healthy Older Adults: A Double-Blind, Randomized, Controlled Trial
Authors: Fantacone Mary L. , Lowry Malcolm B. , Uesugi Sandra L. , Michels Alexander J. , Choi Jaewoo , Leonard Scott W. , Gombart Sean K. , Gombart Jeffrey S. , Bobe Gerd , Gombart Adrian F.
Published: August 2020

Older adults are at increased risk for vitamin and mineral deficiencies that contribute to age-related immune system decline. Several lines of evidence suggest that taking a multi-vitamin and mineral supplement (MVM) could improve immune function in individuals 55 and older. To test this hypothesis, we provided healthy older adults with either an MVM supplement formulated to improve immune function (Redoxon® VI, Singapore) or an identical, inactive placebo control to take daily for 12 weeks. Prior to and after treatment, we measured (1) their blood mineral and vitamin status (i.e., vitamin C, zinc and vitamin D); (2) immune function (i.e., whole blood bacterial killing activity, neutrophil phagocytic activity, and reactive oxygen species production); (3) immune status (salivary IgA and plasma cytokine/chemokine levels); and (4) self-reported health status. MVM supplementation improved vitamin C and zinc status in blood and self-reported health-status without altering measures of immune function or status or vitamin D levels, suggesting that healthy older adults may benefit from MVM supplementation. Further development of functional assays and larger study populations should improve detection of specific changes in immune function after supplementation in healthy older adults. Clinical Trials Registration: ClinicalTrials.gov #NCT02876315.
Promoting a Healthy Lifestyle through Mindfulness in University Students: A Randomized Controlled Trial
Authors: Soriano-Ayala Encarnación , Amutio Alberto , Franco Clemente , Mañas Israel
Published: August 2020

The present study explored the effects of a second-generation mindfulness-based intervention known as flow meditation (Meditación-Fluir) in the improvement of healthy life behaviors. A sample of university students (n = 51) in Spain were randomly assigned to a seven-week mindfulness treatment or a waiting list control group. Results showed that compared to the control group, individuals in the mindfulness group demonstrated significant improvements across all outcome measures including healthy eating habits (balanced diet, intake rate, snacking between meals, decrease in consumption by negative emotional states, increased consumption by negative emotional states, amount of consumption, meal times, consumption of low-fat products), tobacco, alcohol, and cannabis consumption, and resting habits. There were differences between males and females in some of these variables and a better effect of the treatment was evident in the females of the experimental group when compared to the males. The flow meditation program shows promise for fostering a healthy lifestyle, thus decreasing behaviors related to maladaptive eating, tobacco, alcohol, and cannabis consumption as well as negative rest habits in university students. This mindfulness program could significantly contribute to the treatment of eating disorders and addictions, wherein negative emotional states and impulsivity are central features of the condition.
Electrospun Bioactive Wound Dressing Containing Colloidal Dispersions of Birch Bark Dry Extract
Authors: Mwiiri Francis Kamau , Brandner Johanna M. , Daniels Rolf
Published: August 2020

Novel birch bark dry extract (TE)-loaded polyvinyl alcohol (PVA) fiber mats intended for wound therapy were developed through an electrospinning process. Colloidal dispersions containing TE as the active substance were prepared by the high-pressure homogenization (HPH) technique using hydrogenated phospholipids as stabilizer. Subsequently, the colloidal dispersions were blended with aqueous PVA solutions in the ratio of 60:40 (wt.%) and electrospun to form the nanofiber mats. Fiber morphology examined using scanning electron microscopy (SEM) indicated that fibers were uniform and achieved diameters in the size range of 300–1586 nm. Confocal Raman spectral imaging gave good evidence that triterpenes were encapsulated within the electrospun mats. In vitro drug release and ex vivo permeation studies indicated that the electrospun nanofibers showed a sustained release of betulin, the main component of birch bark dry extract, making the examined dressings highly applicable for several wound care applications. Ex vivo wound healing studies proved that electrospun fiber mats containing TE accelerated wound healing significantly more than TE oleogel, which was comparable to an authorized product that consists of TE and sunflower oil and has proved to enhance wound healing. Therefore, our results conclude that the developed TE-PVA-based dressings show promising potential for wound therapy, an area where effective remedy is needed.
The Multifaceted Histidine-Based Carriers for Nucleic Acid Delivery: Advances and Challenges
Authors: He Jiaxi , Xu Songhui , Mixson A. James
Published: August 2020

Histidines incorporated into carriers of nucleic acids may enhance the extracellular stability of the nanoparticle, yet aid in the intracellular disruption of the nanoparticle, enabling the release of the nucleic acid. Moreover, protonation of histidines in the endosomes may result in endosomal swelling with subsequent lysis. These properties of histidine are based on its five-member imidazole ring in which the two nitrogen atoms may form hydrogen bonds or act as a base in acidic environments. A wide variety of carriers have integrated histidines or histidine-rich domains, which include peptides, polyethylenimine, polysaccharides, platform delivery systems, viral phages, mesoporous silica particles, and liposomes. Histidine-rich carriers have played key roles in our understanding of the stability of nanocarriers and the escape of the nucleic acids from endosomes. These carriers show great promise and offer marked potential in delivering plasmids, siRNA, and mRNA to their intracellular targets.
Noninvasive Assessment of Fibrosis Following Ischemia/Reperfusion Injury in Rodents Utilizing Na Magnetic Resonance Imaging
Authors: Nielsen Per Mose , Mariager Christian Østergaard , Rasmussen Daniel Guldager Kring , Mølmer Marie , Genovese Federica , Karsdal Morten Asser , Laustsen Christoffer , Nørregaard Rikke
Published: August 2020

Fibrosis is often heterogeneously distributed, and classical biopsies do not reflect this. Noninvasive methods for renal fibrosis have been developed to follow chronic kidney diseases (CKD) and to monitor anti-fibrotic therapy. In this study, we combined two approaches to assess fibrosis regression following renal ischemia-reperfusion injury (IRI): magnetic resonance imaging (MRI) and noninvasive extracellular matrix (ECM) biomarkers. MRI was used to evaluate fibrosis in bilateral IRI in rats after reperfusion at 7, 14, and 21 days. This was performed with 1HT1 and T2* mapping, dynamic contrast-enhanced (DCE)-MRI, and chemical shift imaging (CSI)-23Na. The degradation of laminin gamma-1 chain (LG1M) and type III collagen (C3M) was measured in urine and plasma. Fibrosis was analyzed in tissue using fibronectin (FN) and alpha-smooth muscle actin (α-SMA) using quantitative polymerase chain reaction qPCR and western blotting. We found increased fibrosis 7 days after reperfusion, which dropped to sham levels after 21 days. Single kidney glomerular filtration rate (skGFR), perfusion (DCE-MRI), and total 23Na kidney content correlated positively with fibrotic markers FN and α-SMA as well as noninvasive LG1M and C3M. We showed that novel MRI protocols and ECM markers could track fibrogenic development. This could give rise to a multi-parametric practice to diagnose and assess fibrosis whilst treating kidney disease without using invasive methods.
Community Pharmacists’ Motivation and Barriers to Providing and Billing Patient Care Services
Authors: Reyes Liesl D. , Hong Jenny , Lin Christine , Hamper Jeffrey , Kroon Lisa
Published: August 2020

Recently, California (CA) pharmacists’ scope of practice has expanded to include independently prescribing self-administered hormonal contraceptives, nicotine replacement therapy medications, travel health medications, routine vaccinations, naloxone hydrochloride, and HIV preexposure and postexposure prophylaxis. However, previous reports indicate that practicing within this expanded scope has remained limited. Therefore, a 26-item, web-based survey was emailed to CA community pharmacists to assess pharmacists’ knowledge, intent, and barriers to prescribing and billing for these patient care services. A total of 216 chain, supermarket-based, independent, mass merchant, and health-system outpatient pharmacists were included. The primary services provided and medications prescribed are for vaccinations and naloxone. Most pharmacists agree that engagement in and implementation of new strategies to enhance patients’ access to care is important. Common barriers include patient unawareness of pharmacist-provided services, lack of payment for services, and difficulty incorporating services within pharmacy workflow. Pharmacists are confident in their ability to provide patient care services but are less knowledgeable and confident about billing for them. Enhancing promotion of pharmacist-provided services to patients, developing strategies to efficiently incorporate them into the workflow, and payment models can help overcome barriers to providing these services.
Improving the Reactivity of Sugarcane Bagasse Kraft Lignin by a Combination of Fractionation and Phenolation for Phenol–Formaldehyde Adhesive Applications
Authors: Luo Bin , Jia Zhuan , Jiang Hongrui , Wang Shuangfei , Min Douyong
Published: August 2020

The low reactivity of lignin hinders its application as a phenol substitute in phenol–formaldehyde (PF) resin. Therefore, the combination of fractionation and phenolation was adopted to enhance the reactivity of lignin for preparing a phenol–formaldehyde resin adhesive. Sugarcane bagasse kraft lignin and its fractions were employed to replace 40 wt% of phenol to prepare a PF adhesive. The fractionation increased the reactivity of lignin, however the as-prepared lignin-based PF (LPF) hardly met its application requirements as an adhesive. Therefore, the phenolation of lignin under an acidic condition was adopted to further improve its reactivity. The phenolated lignin was characterized by FTIR, gel permeation chromatography, and NMR, indicating its active sites increased while its molecular weight decreased. The phenolated lignin was used to replace 40 wt% of phenol to prepare a PF adhesive (PLPF) which was further employed to prepare plywood. The results indicated that the combination of fractionation and phenolation effectively enhanced the reactivity of lignin, and eventually improved the properties of the PLPF and its corresponding plywood. The free formaldehyde content of PLPF decreased to 0.16%. The wet bonding strength of the as-prepared plywood increased to 1.36 MPa, while the emission of formaldehyde decreased to 0.31 mL/L.
Preparation of Antimicrobial Fibres from the EVOH/EPC Blend Containing Silver Nanoparticles
Authors: Biniaś Dorota , Biniaś Włodzimierz , Machnicka Alicja , Hanus Monika
Published: August 2020

The article presents a new fabrication method for bioactive fibres with a microporous structure of ethylene–vinyl alcohol copolymers (EVOH)/ethylene−propylene copolymer (EPC) blends. The experimental work carried out resulted in obtaining EVOH/EPC polymer blends fibres with the addition of glycerol and sodium stearate. Different concentrations of glycerol (38%, 32%) and sodium stearate (2%, 8%) were used to prepare the fibres. The purpose of using different concentrations of stearate and glycerol was to evaluate the effect of additives on the structure and properties of the fibres. A significant influence of the additives used on the morphological structure of the fibres was found. The resulting fibres were modified with an AgNO3 solution and reduced to silver nanoparticles (AgNPs), to give the fibres bioactive properties. The fibres obtained with the addition of 8% stearate have a more developed surface, which may influence the amount of adsorbed silver particles inside the fibre. However, the durability of depositing silver particles after multiple washes has not been tested. Three types of microorganisms were selected to assess the microbiological activity of the obtained fibres, i.e., Gram-positive Staphylococcus aureus and Gram-negative Pseudomonas aeruginosa and Escherichia coli. The fibres have antibacterial activity against gram positive and negative bacteria. The largest inhibition zones were obtained for gram-positive bacteria Staphylococcus aureus, ranging from 3 to 10 mm depending on the concentration of AgNPs. The morphology of the blends fibres was characterized by scanning electron microscopy (SEM) and optical microscopy (OM). The occurrence of elemental silver was analysed by energy dispersive spectroscopy (EDS) analysis. The changes of the polymer structure chemistry are studied by Fourier transform infrared spectroscopy (FTIR).
Solid Particle Erosion Behaviour and Protective Coatings for Gas Turbine Compressor Blades—A Review
Authors: Alqallaf Jasem , Ali Naser , Teixeira Joao A. , Addali Abdulmajid
Published: August 2020

Gas turbines (GTEs) are often utilised in harsh environments where the GT components, including compressor vanes and rotor blades, are subject to erosion damage by sand and dust particles. For instance, in a desert environment, the rate of damage made by solid particles erosion (SPE) becomes severe, and therefore results in degradation to the GTE parts, lowering the cycle efficiency, reducing the device lifetime, and increasing the overall cost of the operation. As such, understanding the erosion mechanism caused by solid particles and the effects associated with it is crucial for selecting the appropriate countermeasures and maintaining the system performance. This review paper provides a survey of the available studies on SPE effects on GTEs and surface protective coatings. Firstly, the ductile and brittle SPE mechanism is presented, as well as the ductile-brittle transition region. Then, an in-depth focus on the parameters associated with the SPE, such as particles properties and impingement conditions, is introduced. Furthermore, the existing theoretical models are shown and discussed. Afterwards, erosion resistant coating materials for surface protection and their selection criteria are covered in the review. Finally, the gap in knowledge and future research direction in the field of SPE on GTEs are provided.
Distributed Optimization for Active Distribution Network Considering the Balance of Multi-Stakeholder
Authors: Liu Yang , Liu Sanming , Niu Zhuangzhuang
Published: August 2020

Nowadays, distributed power generation is highly valued and fully developed since the energy crisis is worsening. At the same time, the distribution system operator is becoming a new stakeholder to take part in the dispatch of the active distribution network (ADN) with the power market being further reformed. Some new challenges to the dispatching of the ADN are brought by these distribution system operators (DSO), which break the traditional requirement of the lowest operating cost. In this paper, the relationship between the maximum revenue and the minimum operating cost of the ADN is fully considered, and the model of the bi-level distributed ADN considering the benefits and privacy protection of multi-stakeholder is established precisely. Further, the model is solved by using the alternating direction method of multipliers (ADMM) in which the safety and economy of the ADN are fully considered. Finally, the validity of the model and the feasibility of the algorithm are verified by using the adjusted IEEE 33 bus.
Application of Novel Techniques for Monitoring Quality Changes in Meat and Fish Products during Traditional Processing Processes: Reconciling Novelty and Tradition
Authors: Hassoun Abdo , Guðjónsdóttir María , Prieto Miguel A. , Garcia-Oliveira Paula , Simal-Gandara Jesus , Marini Federico , Di Donato Francesca , D’Archivio Angelo Antonio , Biancolillo Alessandra
Published: August 2020

In this review, we summarize the most recent advances in monitoring changes induced in fish and other seafood, and meat and meat products, following the application of traditional processing processes by means of conventional and emerging advanced techniques. Selected examples from the literature covering relevant applications of spectroscopic methods (i.e., visible and near infrared (VIS/NIR), mid-infrared (MIR), Raman, nuclear magnetic resonance (NMR), and fluorescence) will be used to illustrate the topics covered in this review. Although a general reluctance toward using and adopting new technologies in traditional production sectors causes a relatively low interest in spectroscopic techniques, the recently published studies have pointed out that these techniques could be a powerful tool for the non-destructive monitoring and process optimization during the production of muscle food products.
Islam in Australia: A National Survey of Muslim Australian Citizens and Permanent Residents
Authors: Rane Halim , Duderija Adis , Rahimullah Riyad H. , Mitchell Paul , Mamone Jessica , Satterley Shane
Published: August 2020

This article presents the findings of a national survey on Islam in Australia based on responses of 1034 Muslim Australian citizens and permanent residents. Knowing what Muslim Australians think about Islam in relation to Australian society is essential for a more informed understanding about Islam and Muslims needed to address misinformation, Islamophobia, and extremism. The findings presented in this article include typologies of Muslims; sources of influence concerning Islam; interpretations of the Qur’an; perspectives on ethical, social, and theological issues; issues of concern; social connections and sense of belonging; views on various Muslim-majority countries; and perspectives concerning political Islam, including jihad, caliphate, and shariah. While respondents’ understandings, interpretations, and expressions of Islam overall align with values and principles of equality, human rights, social cohesion, and social justice, a minority were found to understand and interpret Islam in ways that reflect the influence of late 20th and early 21st century ideas associated with Islamist political ideology, and a smaller sub-group were found to have views that could be considered extreme. This article discusses these findings in relation to the early 21st century time-period factors and the Australian social context.
An Environmental Assessment of Interlocking Concrete Blocks Mixed with Sugarcane Residues Produced in Okinawa
Authors: Ribeiro Bruno , Uchiyama Tadaaki , Tomiyama Jun , Yamamoto Takashi , Yamashiki Yosuke
Published: August 2020

The use of sugarcane residues in mortar and concrete is believed to contribute to the reduction of environmental problems, such as the reduction of mining of natural aggregates as well as the improper disposal of sugarcane residues. Therefore, in this study, bagasse fiber and bagasse sand were added into the preparation of the interlocking concrete blocks, and the flexural strength and an environmental assessment of the blocks were analyzed. The flexural strength of the blocks was not affected by the addition of the bagasse fiber and bagasse sand. In addition, the environmental load of interlocking concrete blocks using sugarcane residues was lower than the blocks using conventional aggregates due to the greater simplicity of acquisition of the residues. Moreover, in the scenarios where the blocks are supposedly made on smaller islands, the emissions increased due to long-distance transportation, since conventional aggregates come from other islands.
Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images
Authors: Gao Fei , He Yishan , Wang Jun , Hussain Amir , Zhou Huiyu
Published: August 2020

In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it is urgent to develop methods with higher accuracy and faster speed for ship detection in high-resolution SAR images. Among all kinds of methods, deep-learning-based algorithms bring promising performance due to end-to-end detection and automated feature extraction. However, several challenges still exist: (1) standard deep learning detectors based on anchors have certain unsolved problems, such as tuning of anchor-related parameters, scale-variation and high computational costs. (2) SAR data is huge but the labeled data is relatively small, which may lead to overfitting in training. (3) To improve detection speed, deep learning detectors generally detect targets based on low-resolution features, which may cause missed detections for small targets. In order to address the above problems, an anchor-free convolutional network with dense attention feature aggregation is proposed in this paper. Firstly, we use a lightweight feature extractor to extract multiscale ship features. The inverted residual blocks with depth-wise separable convolution reduce the network parameters and improve the detection speed. Secondly, a novel feature aggregation scheme called dense attention feature aggregation (DAFA) is proposed to obtain a high-resolution feature map with multiscale information. By combining the multiscale features through dense connections and iterative fusions, DAFA improves the generalization performance of the network. In addition, an attention block, namely spatial and channel squeeze and excitation (SCSE) block is embedded in the upsampling process of DAFA to enhance the salient features of the target and suppress the background clutters. Third, an anchor-free detector, which is a center-point-based ship predictor (CSP), is adopted in this paper. CSP regresses the ship centers and ship sizes simultaneously on the high-resolution feature map to implement anchor-free and nonmaximum suppression (NMS)-free ship detection. The experiments on the AirSARShip-1.0 dataset demonstrate the effectiveness of our method. The results show that the proposed method outperforms several mainstream detection algorithms in both accuracy and speed.
Decoding Complex Erosion Responses for the Mitigation of Coastal Rockfall Hazards Using Repeat Terrestrial LiDAR
Authors: Westoby Matthew , Lim Michael , Hogg Michelle , Dunlop Lesley , Pound Matthew , Strzelecki Mateusz , Woodward John
Published: August 2020

A key factor limiting our understanding of rock slope behavior and associated geohazards is the interaction between internal and external system controls on the nature, rates, and timing of rockfall activity. We use high-resolution, monthly terrestrial light detection and ranging (LiDAR) surveys over a 2 year monitoring period to quantify rockfall patterns across a 0.6 km-long (15.3 × 103 m2) section of a limestone rock cliff on the northeast coast of England, where uncertainty in rates of change threaten the effective planning and operational management of a key coastal cliff top road. Internal system controls, such as cliff material characteristics and foreshore geometry, dictate rockfall characteristics and background patterns of activity and demonstrate that layer-specific analyses of rockfall inventories and sequencing patterns are essential to better understand the timing and nature of rockfall risks. The influence of external environmental controls, notably storm activity, is also evaluated, and increased storminess corresponds to detectable rises in both total and mean rockfall volume and the volumetric contribution of large (>10 m3) rockfalls at the cliff top during these periods. Transient convergence of the cumulative magnitude–frequency power law scaling exponent (ɑ) during high magnitude events signals a uniform erosion response across the wider cliff system that applies to all lithologies. The tracking of rockfall distribution metrics from repeat terrestrial LiDAR in this way demonstrably improves the ability to identify, monitor, and forecast short-term variations in rockfall hazards, and, as such, provides a powerful new approach for mitigating the threats and impacts of coastal erosion.
Preliminary Observations from the China Fengyun-4A Lightning Mapping Imager and Its Optical Radiation Characteristics
Authors: Hui Wen , Zhang Wenjuan , Lyu Weitao , Li Pengfei
Published: August 2020

The Fengyun-4A (FY-4A) Lightning Mapping Imager (LMI) is the first satellite-borne lightning imager developed in China, which can detect lightning over China and its neighboring regions based on a geostationary satellite platform. In this study, the spatial distribution and temporal variation characteristics of lightning activity over China and its neighboring regions were analyzed in detail based on 2018 LMI observations. The observation characteristics of the LMI were revealed through a comparison with the Tropical Rainfall Measuring Mission (TRMM)-Lightning Imaging Sensor (LIS) and World Wide Lightning Location Network (WWLLN) observations. Moreover, the optical radiation characteristics of lightning signals detected by the LMI were examined. Factors that may affect LMI detection were discussed by analyzing the differences in optical radiation characteristics between LMI and LIS flashes. The results are as follows. Spatially, the flash density distribution pattern detected by the LMI was similar to those detected by the LIS and WWLLN. High-flash density regions were mainly concentrated over Southeastern China and Northeastern India. Temporally, LMI flashes exhibited notable seasonal and diurnal variation characteristics. The LMI detected a concentrated lightning outbreak over Northeastern India in the premonsoon season and over Southeastern China in the monsoon season, which was consistent with LIS and WWLLN observations. LMI-observed diurnal peak flash rates occurred in the afternoon over most of the regions. There was a “stepwise” decrease in the LMI-observed optical radiance, footprint size, duration, and number of groups per flash, from the ocean to the coastal regions to the inland regions. LMI flashes exhibited higher optical radiance but lasted for shorter durations than LIS flashes. LMI observations are not only related to instrument performance but are also closely linked to onboard and ground data processing. In future, targeted improvements can be made to the data processing algorithm for the LMI to further enhance its detection capability.
Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels
Authors: Blanco Sergio R. , Heras Dora B. , Argüello Francisco
Published: August 2020

Texture information allows characterizing the regions of interest in a scene. It refers to the spatial organization of the fundamental microstructures in natural images. Texture extraction has been a challenging problem in the field of image processing for decades. In this paper, different techniques based on the classic Bag of Words (BoW) approach for solving the texture extraction problem in the case of hyperspectral images of the Earth surface are proposed. In all cases the texture extraction is performed inside regions of the scene called superpixels and the algorithms profit from the information available in all the bands of the image. The main contribution is the use of superpixel segmentation to obtain irregular patches from the images prior to texture extraction. Texture descriptors are extracted from each superpixel. Three schemes for texture extraction are proposed: codebook-based, descriptor-based, and spectral-enhanced descriptor-based. The first one is based on a codebook generator algorithm, while the other two include additional stages of keypoint detection and description. The evaluation is performed by analyzing the results of a supervised classification using Support Vector Machines (SVM), Random Forest (RF), and Extreme Learning Machines (ELM) after the texture extraction. The results show that the extraction of textures inside superpixels increases the accuracy of the obtained classification map. The proposed techniques are analyzed over different multi and hyperspectral datasets focusing on vegetation species identification. The best classification results for each image in terms of Overall Accuracy (OA) range from 81.07% to 93.77% for images taken at a river area in Galicia (Spain), and from 79.63% to 95.79% for a vast rural region in China with reasonable computation times.
A Low-Cost On-Street Parking Management System Based on Bluetooth Beacons
Authors: Chien Chi-Fang , Chen Hui-Tzu , Lin Chi-Yi
Published: August 2020

In recent years, many city governments around the world have begun to use information and communication technology to increase the management efficiency of on-street parking. Among various experimental smart parking projects, deployment of wireless magnetic sensors and smart parking meters are quite common. However, using wireless magnetic sensors can only detect the occupancy of parking spaces without the knowledge of who are currently using these parking spaces; human labor is still needed to issue the parking bills. In contrast, smart parking meters based on image recognition can detect the occupancy of parking spaces along with the license plate numbers, but the cost of deploying smart parking meters is relatively high. In this research, we investigate the feasibility of building an on-street parking management system mainly based on low-cost Bluetooth beacons. Specifically, beacon transmitters are installed in the vehicles, and beacon receivers are deployed along the roadside parking spaces. By processing the received beacon signals using Kalman filter, our system can detect the occupancy of parking spaces as well as the identification of the vehicles. Although distance estimation using the received signal strength is not accurate, our experiments show that it suffices for correct detection of parking occupancy.
Towards the Applicability of Measuring the Electrodermal Activity in the Context of Process Model Comprehension: Feasibility Study
Authors: Winter Michael , Pryss Rüdiger , Probst Thomas , Reichert Manfred
Published: August 2020

Process model comprehension is essential in order to understand the five Ws (i.e., who, what, where, when, and why) pertaining to the processes of organizations. However, research in this context showed that a proper comprehension of process models often poses a challenge in practice. For this reason, a vast body of research exists studying the factors having an influence on process model comprehension. In order to point research towards a neuro-centric perspective in this context, the paper at hand evaluates the appropriateness of measuring the electrodermal activity (EDA) during the comprehension of process models. Therefore, a preliminary test run and a feasibility study were conducted relying on an EDA and physical activity sensor to record the EDA during process model comprehension. The insights obtained from the feasibility study demonstrated that process model comprehension leads to an increased activity in the EDA. Furthermore, EDA-related results indicated significantly that participants were confronted with a higher cognitive load during the comprehension of complex process models. In addition, the experiences and limitations we learned in measuring the EDA during the comprehension of process models are discussed in this paper. In conclusion, the feasibility study demonstrated that the measurement of the EDA could be an appropriate method to obtain new insights into process model comprehension.
Compensation System for Biomagnetic Measurements with Optically Pumped Magnetometers inside a Magnetically Shielded Room
Authors: Jodko-Władzińska Anna , Wildner Krzysztof , Pałko Tadeusz , Władziński Michał
Published: August 2020

Magnetography with superconducting quantum interference device (SQUID) sensor arrays is a well-established technique for measuring subtle magnetic fields generated by physiological phenomena in the human body. Unfortunately, the SQUID-based systems have some limitations related to the need to cool them down with liquid helium. The room-temperature alternatives for SQUIDs are optically pumped magnetometers (OPM) operating in spin exchange relaxation-free (SERF) regime, which require a very low ambient magnetic field. The most common two-layer magnetically shielded rooms (MSR) with residual magnetic field of 50 nT may not be sufficiently magnetically attenuated and additional compensation of external magnetic field is required. A cost-efficient compensation system based on square Helmholtz coils was designed and successfully used for preliminary measurements with commercially available zero-field OPM. The presented setup can reduce the static ambient magnetic field inside a magnetically shielded room, which improves the usability of OPMs by providing a proper environment for them to operate, independent of initial conditions in MSR.
PVDF Sensor Foils Employed to Measure Shear Stress and Temperature of Friction Welding
Authors: Zou Wei , Schomburg Werner Karl
Published: August 2020

Friction welding is a popular process for joining metal and polymer work pieces by rubbing them against each other. This way, friction heat is generated in a zone of the faying surfaces, thinner than 1 mm. After cooling down, the heated surfaces establish a tight and strong bond. To improve this joining process, a method is desirable allowing measuring generated temperature and shear stress in the zone between the joining work pieces. Unfortunately, this is a very difficult task because the welding zone cannot be accessed with a sensor without significantly altering the process and thereby the desired measurement results. This paper describes how shear stress and temperature change generated by rubbing polymer pieces in a friction welding machine have been measured between the faying surfaces by employing sensor foils from the piezoelectric and pyroelectric polymer polyvinylidene fluoride (PVDF). This way, heating and cooling rates, pressure rise of the pneumatic system, frequency rise of the starting machine, the duration of starting and stopping, the damping of the vibrations after the drive was stopped, and the stress generated by the pullback of the machine head have been measured. A careful characterization of the sensor was necessary to enable distinguishing the measured voltage due to straining, shearing and temperature change.
Big Trajectory Data Mining: A Survey of Methods, Applications, and Services
Authors: Wang Di , Miwa Tomio , Morikawa Takayuki
Published: August 2020

The increasingly wide usage of smart infrastructure and location-aware terminals has helped increase the availability of trajectory data with rich spatiotemporal information. The development of data mining and analysis methods has allowed researchers to use these trajectory datasets to identify urban reality (e.g., citizens’ collective behavior) in order to solve urban problems in transportation, environment, public security, etc. However, existing studies in this field have been relatively isolated, and an integrated and comprehensive review is lacking the problems that have been tackled, methods that have been tested, and services that have been generated from existing research. In this paper, we first discuss the relationships among the prevailing trajectory mining methods and then, classify the applications of trajectory data into three major groups: social dynamics, traffic dynamics, and operational dynamics. Finally, we briefly discuss the services that can be developed from studies in this field. Practical implications are also delivered for participants in trajectory data mining. With a focus on relevance and association, our review is aimed at inspiring researchers to identify gaps among tested methods and guiding data analysts and planners to select the most suitable methods for specific problems.
Measuring Resilience Engineering: An Integrative Review and Framework for Bench-Marking Organisational Safety
Authors: Pillay Manikam , Morel Gaël
Published: August 2020

Interest in resilience engineering for improving organisational safety continues to grow among safety scholars and practitioners, but little attention has focused on a unifying definition, characteristics, and instruments for quantitative measurements. This is a significant gap which can impede efforts at benchmarking and evaluating resilience engineering for organisational safety. This integrative review was undertaken to address this research-practice gap in order to inform a theoretical framework. A five steep integrative literature review process was used to retrieve and critically evaluate peer-reviewed quantitative research articles published or in press from 2003 to November 2019. From the 3884 studies identified, screened, and selected, 17 met the final inclusion criteria. In total, 15 specific instruments were identified, but only four were grounded on a theoretical framework or model—the most common instrument used for included structured surveys. A minimum of three and a maximum of 13 characteristics were measured; however, it is not clear what type of variables they represented. The six most common characteristics included top management commitment, just culture, learning culture, awareness, preparedness, and flexibility. An integrative model of how these can inform a Resilience Climate Questionnaire (RCQ) survey is presented.
Sick Enough? Mental Illness and Service Eligibility for Homeless Individuals at the Border
Authors: Smith Curtis , Castañeda Ernesto
Published: August 2020

This paper measures mental illness among individuals experiencing homelessness in a border city and compares it to the general housed population. We use original data from a homeless survey conducted in El Paso, Texas. Respondents self-reported any possible mental illness or related symptoms. We find that mental illness is not disproportionally common among the homeless, yet this is something that is often claimed by laypersons, some social service workers, and some researchers that limit sampling to institutionalized settings where formal mental illness is often among the prerequisites for admission. We find that “severe mental illness” among homeless persons is 6.2% (only around 2–3% higher than the general population), and “any mental illness” is 20.8% (only 1–3% higher than in the general population). Our results are consistent with other research focusing on street samples.
Assessment of the Combined Effect of Temperature and Salinity on the Outputs of Soil Dielectric Sensors in Coconut Fiber
Authors: Bañón Sebastián , Ochoa Jesús , Bañón Daniel , Ortuño María Fernanda , Sánchez-Blanco María Jesús
Published: August 2020

Dielectric sensors are useful instruments for measuring soil moisture and salinity. The soil moisture is determined by measuring the dielectric permittivity, while bulk electrical conductivity (EC) is measured directly. However, permittivity and bulk EC can be altered by many variables such as measurement frequency, soil texture, salinity, or temperature. Soil temperature variation is a crucial factor as there is much evidence showing that global warming is taking place. This work aims to assess how variations in the temperature and salinity of coconut fiber affect the output of EC5 (voltage) and GS3 (permittivity and bulk EC) Decagon sensors. The results showed that the effect of temperature and salinity on the output of the sensors can lead to substantial errors in moisture estimations. At low salinity values, permittivity readings decreased as temperature increased, while voltage readings were not affected, regardless of substrate moisture. The GS3 sensor underestimated the bulk EC when it is measured below 25 °C. The temperature dependence of the voltage of EC5 was not significant up to 10 dS m−1, and the permittivity of the GS3 was more affected by the interaction between temperature and salinity. The effect that salinity has on the permittivity of the GS3 sensor can be reduced if a permittivity–moisture calibration is performed with saline solutions, while the effect resulting from the interaction between temperature and salinity can be minimized using a regression model that considers such an interaction.
Conventionalization of Organic Agriculture: A Multiple Case Study Analysis in Brazil and Italy
Authors: Rover Oscar José , da Silva Pugas Adevan , De Gennaro Bernardo Corrado , Vittori Francesco , Roselli Luigi
Published: August 2020

The conventionalization of organic agriculture has been described as a process in which organic agriculture increasingly adopts the features of conventional modes of production based on industrial farming methods. The increasing supply of organic products to the large retailers is considered the main driver of conventionalization. This process has negative implications for the agrobiodiversity of organic farming systems. The present study aims to investigate and analyze the impact of retailing strategies on the agrobiodiversity of organic farms. A survey of farms located in rural areas near large urban centers (three metropolitan regions in Southern Brazil and four Italian regions) was undertaken. Data was collected through face-to-face interviews based on a semi-structured questionnaire. The analysis indicates that the farms surveyed maintained a high level of agrobiodiversity and active participation in alternative food networks. Our findings point out that there was a significant and positive correlation between the crop richness index and the share of farm sales through alternative food networks. We conclude that adopting various forms of direct sale is the key factor in stimulating farms’ agrobiodiversity, but proximity to densely populated areas is a necessary precondition for the development of the short food supply chains needed to stimulate the diversification of organic agriculture.