bluuebunny/crossref_metadata_2025 huggingface dataset:
General Health, Systemic Diseases and Oral Status in Adult Patients with Coeliac Disease
Authors: Nota Alessandro , Abati Silvio , Bosco Floriana , Rota Isabella , Polizzi Elisabetta , Tecco Simona
Published: December 2020

The prevalence of coeliac disease in the general population is 0.5–1%; however, most patients remain undiagnosed until adult age. In some cases, the onset is represented by sub-clinical signs, some of which can be found in the mouth. The aim of this research was to identify any associations between the clinical characteristics of coeliac disease and oral manifestations. A structured questionnaire was administered to a group of 237 individuals with coeliac disease. 100% of the subjects fully completed the questionnaire. Among them, 182 (76.7%) were female, 64 patients (27%) were aged 15 to 24 years, 159 (67%) were aged 25 to 55 and 14 (6%) were aged 56 and over. Significant associations were observed in caries prevalence and dentin sensitivity; in addition, an inappropriate diet was related to oral manifestations; following a gluten-free diet could be important to control the gingival bleeding levels and to manage oral symptoms associated to coeliac disease. In general, the presence of inflammatory symptoms in the mouth seems to be associated with general symptoms of inflammation related to coeliac disease.
The Origins of Salivary Vitamin A, Vitamin B12 and Vitamin D-Binding Proteins
Authors: Blakeley Matthew , Sobczyńska-Malefora Agata , Carpenter Guy
Published: December 2020

Vitamin A- (retinol), vitamin B12- (haptocorrin) and vitamin D-binding proteins are the major circulatory transporters of their respective ligands; they are also constituents of the salivary proteome, the origins of which, remain unclear. The aim of this study was to explore how these proteins enter saliva and their relationship (if any) with vitamin status. Firstly, the three vitamin-binding proteins were quantified in resting whole mouth saliva and chewing-stimulated saliva from healthy donors (n = 10) to determine if they enter the mouth by salivary secretion or from the circulation. Secondly paired whole mouth saliva and serum samples were analysed from healthy donors (n = 14) to determine the relationships between the vitamin-binding proteins and vitamin status. Salivary output of all three vitamin-binding proteins studied increased when secretion was stimulated, suggesting they are secreted by the salivary glands. Whilst retinol-binding protein and haptocorrin were secreted by all major salivary glands, vitamin D-binding protein was restricted to the mucus glands. Salivary vitamin-binding protein concentrations were not found to be indicative of systemic vitamin status.
Simultaneous Quantification of Vibrio metoecus and Vibrio cholerae with Its O1 Serogroup and Toxigenic Subpopulations in Environmental Reservoirs
Authors: Nasreen Tania , Hussain Nora , Islam Mohammad , Orata Fabini , Kirchberger Paul , Case Rebecca , Alam Munirul , Yanow Stephanie , Boucher Yann
Published: December 2020

Vibrio metoecus is a recently described aquatic bacterium and opportunistic pathogen, closely related to and often coexisting with Vibrio cholerae. To study the relative abundance and population dynamics of both species in aquatic environments of cholera-endemic and cholera-free regions, we developed a multiplex qPCR assay allowing simultaneous quantification of total V. metoecus and V. cholerae (including toxigenic and O1 serogroup) cells. The presence of V. metoecus was restricted to samples from regions that are not endemic for cholera, where it was found at 20% of the abundance of V. cholerae. In this environment, non-toxigenic O1 serogroup V. cholerae represents almost one-fifth of the total V. cholerae population. In contrast, toxigenic O1 serogroup V. cholerae was also present in low abundance on the coast of cholera-endemic regions, but sustained in relatively high proportions throughout the year in inland waters. The majority of cells from both Vibrio species were recovered from particles rather than free-living, indicating a potential preference for attached versus planktonic lifestyles. This research further elucidates the population dynamics underpinning V. cholerae and its closest relative in cholera-endemic and non-endemic regions through culture-independent quantification from environmental samples.
Eudebeiolide B Inhibits Osteoclastogenesis and Prevents Ovariectomy-Induced Bone Loss by Regulating RANKL-Induced NF-κB, c-Fos and Calcium Signaling
Authors: Kim Mi-Hwa , Lim Hyung-Jin , Bak Seon Gyeong , Park Eun-Jae , Jang Hyun-Jae , Lee Seung Woong , Lee Soyoung , Lee Kang Min , Cheong Sun Hee , Lee Seung-Jae , Rho Mun-Chual
Published: December 2020

Eudebeiolide B is a eudesmane-type sesquiterpenoid compound isolated from Salvia plebeia R. Br., and little is known about its biological activity. In this study, we investigated the effects of eudebeiolide B on osteoblast differentiation, receptor activator nuclear factor-κB ligand (RANKL)-induced osteoclastogenesis in vitro and ovariectomy-induced bone loss in vivo. Eudebeiolide B induced the expression of alkaline phosphatase (ALP) and calcium accumulation during MC3T3-E1 osteoblast differentiation. In mouse bone marrow macrophages (BMMs), eudebeiolide B suppressed RANKL-induced osteoclast differentiation of BMMs and bone resorption. Eudebeiolide B downregulated the expression of nuclear factor of activated T-cells 1 (NFATc1) and c-fos, transcription factors induced by RANKL. Moreover, eudebeiolide B attenuated the RANKL-induced expression of osteoclastogenesis-related genes, including cathepsin K (Ctsk), matrix metalloproteinase 9 (MMP9) and dendrocyte expressed seven transmembrane protein (DC-STAMP). Regarding the molecular mechanism, eudebeiolide B inhibited the phosphorylation of Akt and NF-κB p65. In addition, it downregulated the expression of cAMP response element-binding protein (CREB), Bruton’s tyrosine kinase (Btk) and phospholipase Cγ2 (PLCγ2) in RANKL-induced calcium signaling. In an ovariectomized (OVX) mouse model, intragastric injection of eudebeiolide B prevented OVX-induced bone loss, as shown by bone mineral density and contents, microarchitecture parameters and serum levels of bone turnover markers. Eudebeiolide B not only promoted osteoblast differentiation but inhibited RANKL-induced osteoclastogenesis through calcium signaling and prevented OVX-induced bone loss. Therefore, eudebeiolide B may be a new therapeutic agent for osteoclast-related diseases, including osteoporosis, rheumatoid arthritis and periodontitis.
dsRNA Uptake in Plant Pests and Pathogens: Insights into RNAi-Based Insect and Fungal Control Technology
Authors: Wytinck Nick , Manchur Christopher L. , Li Vivian H. , Whyard Steve , Belmonte Mark F.
Published: December 2020

Efforts to develop more environmentally friendly alternatives to traditional broad-spectrum pesticides in agriculture have recently turned to RNA interference (RNAi) technology. With the built-in, sequence-specific knockdown of gene targets following delivery of double-stranded RNA (dsRNA), RNAi offers the promise of controlling pests and pathogens without adversely affecting non-target species. Significant advances in the efficacy of this technology have been observed in a wide range of species, including many insect pests and fungal pathogens. Two different dsRNA application methods are being developed. First, host induced gene silencing (HIGS) harnesses dsRNA production through the thoughtful and precise engineering of transgenic plants and second, spray induced gene silencing (SIGS) that uses surface applications of a topically applied dsRNA molecule. Regardless of the dsRNA delivery method, one aspect that is critical to the success of RNAi is the ability of the target organism to internalize the dsRNA and take advantage of the host RNAi cellular machinery. The efficiency of dsRNA uptake mechanisms varies across species, and in some uptake is negligible, rendering them effectively resistant to this new generation of control technologies. If RNAi-based methods of control are to be used widely, it is critically important to understand the mechanisms underpinning dsRNA uptake. Understanding dsRNA uptake mechanisms will also provide insight into the design and formulation of dsRNAs for improved delivery and provide clues into the development of potential host resistance to these technologies.
HTS-Based Monitoring of the Efficiency of Somatic Embryogenesis and Meristem Cultures Used for Virus Elimination in Grapevine
Authors: Turcsan Mihaly , Demian Emese , Varga Tunde , Jaksa-Czotter Nikoletta , Szegedi Erno , Olah Robert , Varallyay Eva
Published: December 2020

Meristem culture and somatic embryogenesis are effective tools for virus elimination of vegetatively propagated crops including grapevine (Vitis vinifera L.). While both have been shown to be useful to eliminate the main grapevine viruses, their efficiency differs depending on the virus and grapevine variety. In our work, we investigated the efficiency of these two virus elimination methods using small RNA high-throughput sequencing (HTS) and RT-PCR as virus diagnostics. Field grown mother plants of four clones representing three cultivars, infected with different viruses and viroids, were selected for elimination via somatic embryogenesis (SE) and meristem culture (ME). Our results show for the first time that using SE, elimination in mother plants was effective for all viruses, i.e., grapevine rupestris vein feathering virus (GRVFV), grapevine Syrah virus 1 (GSyV-1), Grapevine virus T (GVT) and grapevine Pinot gris virus (GPGV). This study also confirms previous studies showing that SE is a possible strategy for the elimination of GFkV, GRSPaV, HSVd, and GYSVd-1. Our results demonstrate that the efficacy of virus elimination via SE is relatively high while the purging of viroids is lower. Our work provides evidence that the efficiency of SE is comparable to that of the technically difficult ME technique, and that SE will offer a more effective strategy for the production of virus-free grapevine in the future.
Religious Connotations in Spanish and English Forenames: A Contrastive Study
Authors: Arboleda-Guirao Inmaculada de Jesús
Published: December 2020

Names are a subject which concerns us all. Although in recent times the interest in them has grown, until now, most of the research carried out on names in both England and Spain has been devoted to the exploration of surnames and place names. The Bible states that man was created by God on the sixth day with the ability to name. The main purpose of this study was to examine the religious connotations suggested to a group of 425 participants from the metropolitan districts of Murcia (Spain) and Leeds (England) in a list of forenames. A questionnaire with two versions, Spanish and English, was used as the data source in the form of an interview. A mixed methods research was adopted. The findings reveal that, apart from being a stronger influence, the presence of religion was more varied in the metropolitan district of Murcia than in that of Leeds. In addition, only in the former was there a statistically significant relationship between these two socio-demographic and academic factors, age and educational level and religious connotations. Based on the above considerations, we can begin feeling the story behind names.
Common Reed for Thatching in Northern Germany: Estimating the Market Potential of Reed of Regional Origin
Authors: Becker Lea , Wichmann Sabine , Beckmann Volker
Published: December 2020

Reed has a long tradition as locally available thatching material, but nowadays thatch is a globally traded commodity. Germany and other major importing countries such as the Netherlands, the United Kingdom, and Denmark rely on high import rates to meet the national consumption. This study aimed at providing a detailed picture of the thatching reed market in Northern Germany and at assessing the market potential for reed of regional origin. A written survey among all thatchers in Northern Germany was carried out in 2019, arriving at an effective sample of 47 out of 141 companies. The results revealed that for the responding companies the majority of the reed (59%) was used for rethatching roofs completely, 24% for newly constructed roofs, and 17% for roof repairs. Reed from Germany held a low share of 17% of the total consumption in 2018. Own reed harvesting was conducted by less than 9% of the responding companies and given up during the last decades by another 26%. The total market volume of reed for thatching in Northern Germany was estimated for 2018 with a 95% confidence interval at 3 ± 0.8 million bundles of reed with a monetary value at sales prices of €11.6 ± 2.8 million. Based on the end consumer demand, the supply gap for reed of regional or German origin was estimated at 523,000 ± 392,000 bundles of reed equaling a market value of €1.9 ± 1.4 million, indicating high uncertainties. Most of the responding thatchers (70%) did not promote reed of regional origin, mainly due to insufficient availability but also a lack in quality was reported. The cultivation of reed in paludiculture, i.e., as climate-smart land use alternative to drainage-based agriculture on peatlands, can increase the availability of thatching reed in Germany and simultaneously reduce GHG emissions.
Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products
Authors: Meyer Kerry , Platnick Steven , Holz Robert , Dutcher Steve , Quinn Greg , Nagle Fred
Published: December 2020

Climate studies, including trend detection and other time series analyses, necessarily require stable, well-characterized and long-term data records. For satellite-based geophysical retrieval datasets, such data records often involve merging the observational records of multiple similar, though not identical, instruments. The National Aeronautics and Space Administration (NASA) cloud mask (CLDMSK) and cloud-top and optical properties (CLDPROP) products are designed to bridge the observational records of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Aqua satellite and the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the joint NASA/National Oceanic and Atmospheric Administration (NOAA) Suomi National Polar-orbiting Partnership (SNPP) satellite and NOAA’s new generation of operational polar-orbiting weather platforms (NOAA-20+). Early implementations of the CLDPROP algorithms on Aqua MODIS and SNPP VIIRS suffered from large intersensor biases in cloud optical properties that were traced back to relative radiometric inconsistency in analogous shortwave channels on both imagers, with VIIRS generally observing brighter top-of-atmosphere spectral reflectance than MODIS (e.g., up to 5% brighter in the 0.67 µm channel). Radiometric adjustment factors for the SNPP and NOAA-20 VIIRS shortwave channels used in the cloud optical property retrievals are derived from an extensive analysis of the overlapping observational records with Aqua MODIS, specifically for homogenous maritime liquid water cloud scenes for which the viewing/solar geometry of MODIS and VIIRS match. Application of these adjustment factors to the VIIRS L1B prior to ingestion into the CLDMSK and CLDPROP algorithms yields improved intersensor agreement, particularly for cloud optical properties.
Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using Machine Learning Trained from Localized Hyperspatial Imagery
Authors: Hamilton Dale , Levandovsky Enoch , Hamilton Nicholas
Published: December 2020

Wildfires burn 4–10 million acres annually across the United States and wildland fire related damages and suppression costs have exceeded $13 billion for a single year. High-intensity wildfires contribute to post-fire erosion, degraded wildlife habitat, and loss of timber resources. Accurate and temporally adequate assessment of the effects of wildland fire on the environment is critical to improving the of wildland fire as a tool for restoring ecosystem resilience. Sensor miniaturization and small unmanned aircraft systems (sUAS) provide affordable, on-demand monitoring of wildland fire effects at a much finer spatial resolution than is possible with satellite imagery. The use of sUAS would allow researchers to obtain data with more detail at a much lower initial cost. Unfortunately, current regulatory and technical constraints prohibit the acquisition of imagery using sUAS for the entire extent of large fires. This research examined the use of sUAS imagery to train and validate burn severity and extent mapping of large wildland fires from various satellite images. Despite the lower resolution of the satellite image, the research utilized the advantages of satellite imagery such as global coverage, low cost, temporal stability, and spectral extent while leveraging the higher resolution of hyperspatial sUAS imagery for training and validating the mapping analytics.
A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model
Authors: Segonne Charlotte , Huret Nathalie , Payan Sébastien , Gouhier Mathieu , Catoire Valéry
Published: December 2020

Fast and accurate quantification of gas fluxes emitted by volcanoes is essential for the risk mitigation of explosive eruption, and for the fundamental understanding of shallow eruptive processes. Sulphur dioxide (SO2), in particular, is a reliable indicator to predict upcoming eruptions, and its systemic characterization allows the rapid assessment of sudden changes in eruptive dynamics. In this regard, infrared (IR) hyperspectral imaging is a promising new technology for accurately measure SO2 fluxes day and night at a frame rate down to 1 image per second. The thermal infrared region is not very sensitive to particle scattering, which is an asset for the study of volcanic plume. A ground based infrared hyperspectral imager was deployed during the IMAGETNA campaign in 2015 and provided high spectral resolution images of the Mount Etna (Sicily, Italy) plume from the North East Crater (NEC), mainly. The LongWave InfraRed (LWIR) hyperspectral imager, hereafter name Hyper-Cam, ranges between 850–1300 cm−1 (7.7–11.8 µm). The LATMOS (Laboratoire Atmosphères Milieux Observations Spatiales) Atmospheric Retrieval Algorithm (LARA), which is used to retrieve the slant column densities (SCD) of SO2, is a robust and a complete radiative transfer model, well adapted to the inversion of ground-based remote measurements. However, the calculation time to process the raw data and retrieve the infrared spectra, which is about seven days for the retrieval of one image of SO2 SCD, remains too high to infer near real-time (NRT) SO2 emission fluxes. A spectral image classification methodology based on two parameters extracting spectral features in the O3 and SO2 emission bands was developed to create a library. The relevance is evaluated in detail through tests. From data acquisition to the generation of SO2 SCD images, this method requires only ~40 s per image, which opens the possibility to infer NRT estimation of SO2 emission fluxes from IR hyperspectral imager measurements.
Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone
Authors: Nan Yashi , Lovell Nigel H. , Redmond Stephen J. , Wang Kejia , Delbaere Kim , van Schooten Kimberley S.
Published: December 2020

Activity recognition can provide useful information about an older individual’s activity level and encourage older people to become more active to live longer in good health. This study aimed to develop an activity recognition algorithm for smartphone accelerometry data of older people. Deep learning algorithms, including convolutional neural network (CNN) and long short-term memory (LSTM), were evaluated in this study. Smartphone accelerometry data of free-living activities, performed by 53 older people (83.8 ± 3.8 years; 38 male) under standardized circumstances, were classified into lying, sitting, standing, transition, walking, walking upstairs, and walking downstairs. A 1D CNN, a multichannel CNN, a CNN-LSTM, and a multichannel CNN-LSTM model were tested. The models were compared on accuracy and computational efficiency. Results show that the multichannel CNN-LSTM model achieved the best classification results, with an 81.1% accuracy and an acceptable model and time complexity. Specifically, the accuracy was 67.0% for lying, 70.7% for sitting, 88.4% for standing, 78.2% for transitions, 88.7% for walking, 65.7% for walking downstairs, and 68.7% for walking upstairs. The findings indicated that the multichannel CNN-LSTM model was feasible for smartphone-based activity recognition in older people.
Air-Coupled Ultrasonic Probe Integrity Test Using a Focused Transducer with Similar Frequency and Limited Aperture for Contrast Enhancement
Authors: Svilainis Linas , Chaziachmetovas Andrius , Kybartas Darius , Gomez Alvarez-Arenas Tomas
Published: December 2020

Air-coupled ultrasonic probes require a special design approach and handling due to the significant mismatch to the air. Outer matching layers have to be soft so can be easily damaged and excitation voltages might cause the degradation of electrodes or bonding between the layers. Integrity inspection is desired during design, manufacturing, and exploitation. Spatial distribution of a transduction efficiency over piezoelement surface is proposed as a convenient means for the air-coupled probe integrity inspection. Focused transducer of similar center frequency is used to scan the surface of the inspected probe. However, such approach creates a challenge, i.e., area of the scanning beam is much smaller than the total receiving area of the inspected probe, therefore, contrast and imaging resolution are significantly degraded. Masking aperture made from cardboard and felt, placed at the focal point was proposed as solution. Far-range sidelobes were suppressed down to the noise floor (−50 dB) and the near-range sidelobes were reduced down to −17 dB. The proposed modification allows to use a similar frequency focused transducer. Probe integrity inspection can be carried out at significantly enhanced contrast and lateral resolution. Natural and artificial defects can be detected by the use of the proposed method.
Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions
Authors: Chailloux Peguero Juan David , Mendoza-Montoya Omar , Antelis Javier M.
Published: December 2020

The P300 paradigm is one of the most promising techniques for its robustness and reliability in Brain-Computer Interface (BCI) applications, but it is not exempt from shortcomings. The present work studied single-trial classification effectiveness in distinguishing between target and non-target responses considering two conditions of visual stimulation and the variation of the number of symbols presented to the user in a single-option visual frame. In addition, we also investigated the relationship between the classification results of target and non-target events when training and testing the machine-learning model with datasets containing different stimulation conditions and different number of symbols. To this end, we designed a P300 experimental protocol considering, as conditions of stimulation: the color highlighting or the superimposing of a cartoon face and from four to nine options. These experiments were carried out with 19 healthy subjects in 3 sessions. The results showed that the Event-Related Potentials (ERP) responses and the classification accuracy are stronger with cartoon faces as stimulus type and similar irrespective of the amount of options. In addition, the classification performance is reduced when using datasets with different type of stimulus, but it is similar when using datasets with different the number of symbols. These results have a special connotation for the design of systems, in which it is intended to elicit higher levels of evoked potentials and, at the same time, optimize training time.
Hands-Free User Interface for VR Headsets Based on In Situ Facial Gesture Sensing
Authors: Kim Jinhyuk , Cha Jaekwang , Kim Shiho
Published: December 2020

The typical configuration of virtual reality (VR) devices consists of a head-mounted display (HMD) and handheld controllers. As such, these units have limited utility in tasks that require hand-free operation, such as in surgical operations or assembly works in cyberspace. We propose a user interface for a VR headset based on a wearer’s facial gestures for hands-free interaction, similar to a touch interface. By sensing and recognizing the expressions associated with the in situ intentional movements of a user’s facial muscles, we define a set of commands that combine predefined facial gestures with head movements. This is achieved by utilizing six pairs of infrared (IR) photocouplers positioned at the foam interface of an HMD. We demonstrate the usability and report on the user experience as well as the performance of the proposed command set using an experimental VR game without any additional controllers. We obtained more than 99% of recognition accuracy for each facial gesture throughout the three steps of experimental tests. The proposed input interface is a cost-effective and efficient solution that facilitates hands-free user operation of a VR headset using built-in infrared photocouplers positioned in the foam interface. The proposed system recognizes facial gestures and incorporates a hands-free user interface to HMD, which is similar to the touch-screen experience of a smartphone.
Nonlinear Vibration Study Based on Uncertainty Analysis in MEMS Resonant Accelerometer
Authors: Li Yan , Song Linke , Liang Shuai , Xiao Yifeng , Yang Fuling
Published: December 2020

This paper aims to develop a resonant accelerometer for high-sensitivity detection and to investigate the nonlinear vibration of the MEMS resonant accelerometer driven by electrostatic comb fingers. First, a nonlinear vibration model of the resonator with comb fingers in a MEMS resonant accelerometer is established. Then, the nonlinear and nonlinear stiffness coefficients are calculated and analyzed with the Galérkin principle. The linear natural frequency, tracking error, and nonlinear frequency offset are obtained by multi-scale method. Finally, to further analyze the nonlinear vibration, a sample-based stochastic model is established, and the uncertainty analysis method is applied. It is concluded from the results that nonlinear vibration can be reduced by reducing the resonant beam length and increasing the resonant beam width and thickness. In addition, the resonant beam length and thickness have more significant effects, while the resonant beam width and the single concentrated mass of comb fingers have little effect, which are verified by experiments. The results of this research have proved that uncertainty analysis is an effective approach in nonlinear vibration analysis and instructional in practical resonant accelerometer design.
An Hybrid Approach for Urban Traffic Prediction and Control in Smart Cities
Authors: Culita Janetta , Caramihai Simona Iuliana , Dumitrache Ioan , Moisescu Mihnea Alexandru , Sacala Ioan Stefan
Published: December 2020

Smart cities are complex, socio-technological systems built as a strongly connected System of Systems, whose functioning is driven by human–machine interactions and whose ultimate goals are the well-being of their inhabitants. Consequently, controlling a smart city is an objective that may be achieved by using a specific framework that integrates algorithmic control, intelligent control, cognitive control and especially human reasoning and communication. Among the many functions of a smart city, intelligent transportation is one of the most important, with specific restrictions and a high level of dynamics. This paper focuses on the application of a neuro-inspired control framework for urban traffic as a component of a complex system. It is a proof of concept for a systemic integrative approach to the global problem of smart city management and integrates a previously designed urban traffic control architecture (for the city of Bucharest) with the actual purpose of ensuring its proactivity by means of traffic flow prediction. Analyses of requirements and methods for prediction are performed in order to determine the best way for fulfilling the perception function of the architecture with respect to the traffic control problem definition. A parametric method and an AI-based method are discussed in order to predict the traffic flow, both in the short and long term, based on real data. A brief comparative analysis of the prediction performances is also presented.
Building a Care Management and Guidance Security System for Assisting Patients with Cognitive Impairment
Authors: Tseng Winger Sei-Wo , Wong Wing-Kwong , Shih Chun-Chi , Su Yong-Siang
Published: December 2020

The care of dementia patients presents a large challenge for caregivers and family members. Whether it is at home or in institutional care, patients have problems with spatial and environmental cognition. It often leads to abnormal behaviors such as a route recognition problem, wandering, or even getting lost. These behaviors require caregivers to keep an eye on the movement of the cognitively impaired elderly and the safety of these movement processes, to avoid them approaching dangerous areas or leaving the care environment. This paper used qualitative research methods (i.e., participatory interviews, case studies, and contextual observation methods) in the demand exploration phase and quantitative research methods in the product’s technological verification phase. In this study, we implemented a three-stage service design process—demand exploration, demand definition, and design execution—to analyze the care status and route recognition obstacles of elders with dementia, to identify hidden needs as a turning point for new product innovations in care management and guidance security. This study summarizes six service needs for care management and guides the surveillance and safety of elders with dementia: (1) offering indoor user-centered guidance, (2) providing the instant location information of elders with dementia to caregivers, (3) landmarks setting, (4) assistance notification, (5) environmental route planning, (6) use of a wearable device as a guide for indoor route guidance. Based on the potential deficiencies and demands of observation, the care management and guidance security system (CMGSS) was designed. The experimental results show that the use of ultra-wide band positioning technology used in the indoor guiding system can accurately guide the behavior of patients to the right position, provide accurate information for caregivers, and record their daily behavior. The error range of this technology was not only within 42.42 cm in indoor static positioning but also within 55 cm in dynamic positioning, even where wall thickness was 18 cm. Although the device was designed for institutional care, it can also be applied to the management and care of general home-based patients.
Local Action with Global Impact: The Case of the GROW Observatory and the Sustainable Development Goals
Authors: Ajates Raquel , Hager Gerid , Georgiadis Pavlos , Coulson Saskia , Woods Mel , Hemment Drew
Published: December 2020

This article reports on Citizen Observatories’ (COs) potential to contribute to the Sustainable Development Goals (SDGs), reflecting on the experience of the GROW Observatory (GROW). The research aims to take the first steps in closing the gap in the literature on COs’ potential contributions to the SDG framework, beyond quantitative data contributions for indicator monitoring. Following an analysis of project activities and outcomes mapped against the SDG framework, the findings reveal GROW’s potential contributions across two dimensions: (i) Actions to advance the implementation of goals and targets through awareness raising and training; participatory methods; multi-stakeholder connections; and supporting citizens to move from data to action and (ii) Data contributions to SDG indicator monitoring through citizen-generated datasets. While earlier research has focused mostly on the latter (dimension ii), CO activities can impact numerous goals and targets, highlighting their potential to relate global SDGs to local level action, and vice versa. These findings align with the growing literature on COs’ ability to bring together policy makers, scientists and citizens, and support changes to environmental policy and practice. Furthermore, this research suggests groundwork activities that address the goal and target level can also enhance sustained data collection to contribute to indicator level monitoring. We conclude with future trends and recommendations for COs wishing to contribute to the SDGs.
Intra- and Inter-Group Differences in the Cognitive Skills of Toddler Twins with Birth Weight Discordance: The Need to Enhance Their Future from Early Education
Authors: Escolano-Pérez Elena
Published: December 2020

Strengthening of early schooling enhances Equal and Inclusive Education (Sustainable Development Goal 4). Early education protects infant development and learning, especially for children suffering from pathologies and risk factors, such as twin birth weight discordance (BWD). These children—particularly the lighter twin—frequently show disadvantages in their cognitive skills. However, research about this issue is particularly scarce. The aims of this study were to (1) analyze the development of cognitive skills in each type of birth weight discordant twins (heavier and lighter ones) at 18, 21, and 24 months; and (2) discover whether there were differences between the two groups of twins in their cognitive skills. A nomothetic, follow-up, and multidimensional observational design was used. The cognitive skills of 32 birth weight discordant twins were observed while they played at 18, 21, and 24 months. The T-pattern analysis was performed using Thème software (Reykjavík, Iceland) to detect the sequential and temporal structure of infant behavior; indicative of cognitive skills. Results showed: (1) longitudinal intra-group differences in both groups of twins; and (2) some inter-group differences, mainly favoring the heavier twins. These results must be considered for designing early educational practices that allow all twins to be prepared for successful future learning.
Residents’ Training in COVID-19 Pandemic Times: An Integrated Survey of Educational Process, Institutional Support, Anxiety and Depression by the Saudi Commission for Health Specialties (SCFHS)
Authors: Alsaywid Basim , Housawi Abdulrahman , Lytras Miltiadis , Halabi Huda , Abuzenada Maha , Alhaidar Sami A. , Abuznadah Wesam
Published: December 2020

In late December of 2019, the outbreak of coronavirus disease (COVID-19) was first reported in the city of Wuhan, the capital of Hubei province in China, and was declared a pandemic by the World Health Organization in March 2020. Globally, as of 8 July 2020, there have been 11,669,259 confirmed cases of COVID-19, including 539,906 deaths. In Saudi Arabia, the confirmed cases have already reached 223,327, with 161,096 patients confirmed to have recovered, and 2100 deaths. This study aims to determine the effect of the COVID-19 pandemic on the training programs of the Saudi Commission for Health Specialties (SCFHS) and assess trainees’ mental health status (i.e., anxiety and depression). Trainee evaluations on training programs were also sought in order to obtain insights for strategic planning necessary for curricular modifications or improvements to address the clinical learning needs of trainees during this pandemic. The main contribution of our work is an investigation of the incidence of depression and anxiety regarding COVID-19 within the community of residents and fellows. Furthermore, we elaborate on key responsive actions towards the enhancement of the mental health of trainees. Last but not least, we propose the Saudi Commission for Health Specialties (SCFHS) Model for Residents’ Mental Health Enhancement during the COVID-19 Pandemic, which consists of five integrative value layers for medical education and training, namely: the knowledge creation process and innovation; technological capabilities for personalized medicine and patient-centric healthcare with a social impact; innovative applications of technology-enhanced learning and web-based active learning approaches for medical training and education; residents’ wellbeing and the impact of COVID-19 in strategic layers. In our future work, we intend to enhance the proposed framework with studies on trainee satisfaction and the efficiency of different technology-enhanced learning platforms for medical education.
Strategic Sustainability Risk Management in Product Development Companies: Key Aspects and Conceptual Approach
Authors: Schulte Jesko , Villamil Carolina , Hallstedt Sophie I.
Published: December 2020

Society’s transition towards sustainability comes with radical change, which entails significant threats and opportunities for product development and manufacturing companies, for example related to new legislation, shifting customer preferences, and increasing raw material prices. Smart risk management therefore plays a key role for successfully maneuvering society’s sustainability transition. However, from a company perspective, it remains challenging to connect the macro-level societal change with tangible risks for the business on the micro level. Based on interviews with academic and industrial experts, this study identified 21 key aspects for sustainability risk management. Drawing on these results and research from the areas of transition design, strategic sustainable development, and sustainability risk management, a conceptual approach for strategic risk management within the sustainability transition is presented. It builds on layered, double-flow scenario modelling in which backcasting from a vision, framed by basic principles for sustainability, is combined with forecasting from the present. The implications of such scenarios, i.e., risks, can then be identified and managed. By doing so on different scales, connections between macro- and micro-level change can be established. Thereby, product development companies shall be supported in making sustainability an intrinsic part of decision-making across the strategic, tactical, and operational levels to increase competitiveness while contributing to the transition towards a sustainable society.
Research on the International Roughness Index Threshold of Road Rehabilitation in Metropolitan Areas: A Case Study in Taipei City
Authors: Chen Shong-Loong , Lin Chih-Hsien , Tang Chao-Wei , Chu Liang-Pin , Cheng Chiu-Kuei
Published: December 2020

The International Roughness Index (IRI) is the standard scale for evaluating road roughness in many countries in the world. The Taipei City government actively promotes a Road Smoothing Project and plans to complete the rehabilitation of the main and minor roads within its jurisdiction. This study aims to detect the road surface roughness in Taipei City and recommend appropriate IRI thresholds for road rehabilitation. A total of 171 asphalt concrete pavement sections in Taipei City with a total length of 803.49 km were analyzed and compared by IRI. The longitudinal profile of the detected road sections was measured using an inertial profiler. The statistical analysis showed that the IRI value prior to road leveling was mainly distributed between 5 and 8 m/km, while the IRI value after road leveling was mainly distributed between 3 and 4.5 m/km. This confirms that the implementation of the Road Smoothing Project has a significant effect on improving road smoothness. Moreover, based on the analysis results, it is recommended that the IRI threshold value for road rehabilitation in Taipei City be set at 4.50 m/km.
Split Common Coincidence Point Problem: A Formulation Applicable to (Bio)Physically-Based Inverse Planning Optimization
Authors: Chidume Charles E. , Okereke Lois C.
Published: December 2020

Inverse planning is a method of radiotherapy treatment planning where the care team begins with the desired dose distribution satisfying prescribed clinical objectives, and then determines the treatment parameters that will achieve it. The variety in symmetry, form, and characteristics of the objective functions describing clinical criteria requires a flexible optimization approach in order to obtain optimized treatment plans. Therefore, we introduce and discuss a nonlinear optimization formulation called the split common coincidence point problem (SCCPP). We show that the SCCPP is a suitable formulation for the inverse planning optimization problem with the flexibility of accommodating several biological and/or physical clinical objectives. Also, we propose an iterative algorithm for approximating the solution of the SCCPP, and using Bregman techniques, we establish that the proposed algorithm converges to a solution of the SCCPP and to an extremum of the inverse planning optimization problem. We end with a note on useful insights on implementing the algorithm in a clinical setting.
Distinct African Swine Fever Virus Shedding in Wild Boar Infected with Virulent and Attenuated Isolates
Authors: Kosowska Aleksandra , Cadenas-Fernández Estefanía , Barroso Sandra , Sánchez-Vizcaíno Jose M. , Barasona Jose A.
Published: December 2020

Since the reappearance of African swine fever virus (ASFV), the disease has spread in an unprecedented animal pandemic in Eurasia. ASF currently constitutes the greatest global problem for the swine industry. The wild boar (Sus scrofa) in which the pathogen has established wild self-sustaining cycles, is a key reservoir for ASFV, signifying that there is an urgent need to develop an effective vaccine against this virus. Current scientific debate addresses whether live attenuated vaccines (LAVs), which have shown promising results in cross-protection of susceptible hosts, may be feasible for vaccinations carried out owing to safety concerns. The objective of this study was, therefore, to compare the ASFV shedding in wild boar infected with virulent and attenuated (LAV) isolates. Different shedding routes (oral fluid and feces) and viremia rates were characterized in wild boar inoculated with Lv17/WB/Rie1 isolate (n = 12) when compared to those inoculated with the virulent Armenia07 isolate (n = 17). In general, fewer animals infected with the Lv17/WB/Rie1 isolate tested positive for ASFV in blood, oral fluid, and feces in comparison to animals infected with the virulent Armenia07 isolate. The shedding patterns were characterized in order to understand the transmission dynamics. This knowledge will help evaluate the shedding of new LAV candidates in wild boar populations, including the comparison with gene deletion mutant LAVs, whose current results are promising.
Immune Response to Vaccination in Patients with Psoriasis Treated with Systemic Therapies
Authors: Chiricozzi Andrea , Gisondi Paolo , Bellinato Francesco , Girolomoni Giampiero
Published: December 2020

Psoriasis is a chronic inflammatory skin disease usually treated with immunomodulatory/immunosuppressive agents. The use of these agents has been associated with an increased susceptibility to infections. Vaccination might represent a critical aspect in the management of patients with psoriasis treated with immunomodulatory/immunosuppressive therapies. This narrative review aimed to provide an overview on the immune response to vaccines in subjects treated with systemic agents used to treat patients with moderate to severe psoriasis. Publications appearing in PubMed, Scopus, and ISI–Web of Knowledge database were selected using Medical Subject Headings key terms. Overall, published data confirmed that vaccination with attenuated live vaccines during therapy with immunomodulatory/immunosuppressive therapies should be avoided. For nonlive vaccines, a more favorable safety profile of biologic agents compared to conventional systemic agents is described as the humoral response to vaccines is in general well-preserved. Treatment with cyclosporine and methotrexate is associated with lower antibody titers to vaccines, and thus these agents are better discontinued during vaccination. In contrast, treatment with biological agents is not associated with lower antibody response and can thus be continued safely.
A Novel Idea for Improving the Efficiency of Green Walls in Urban Environment (an Innovative Design and Technique)
Authors: Pirouz Behrouz , Turco Michele , Palermo Stefania Anna
Published: December 2020

The advantages of low-impact development approaches, such as green walls in an urban environment, are numerous. These systems can be applied for managing stormwater, saving energy consumption, decreasing noise pollution, improving runoff quality, improving life quality, and so forth. Besides, atmospheric water harvesting methods are considered a nonconventional water source. There are many studies about the analysis and advantages of green walls and atmospheric water harvesting conducted separately. However, the use of a combined system that uses fog harvesting in the irrigation of green walls has received less attention in previous studies, and therefore in this research, the feasibility of a novel green wall platform was investigated. At first, the potential of using green walls and atmospheric water harvesting in different climates was analyzed. Then a new combined system was proposed and explained. The study results determined that atmospheric water harvesting can be applied as a source of irrigation for green facilities, particularly in the dry season and in periods with lower precipitation. In the Mediterranean climate, summer fog harvesting yields 1.4–4.6 L/m2/day, and the water consumption of green walls is about 4–8 L/day/m2. This can improve one issue of green walls in an urban environment, which is irrigation in summer. Furthermore, the novel system would protect plants from severe conditions, improve buildings’ thermal behavior by decreasing direct sunlight, and increase conventional green walls’ efficiency and advantages.
Primary care consultations after hospitalisation for pneumonia: a large population-based cohort study
Authors: Baskaran Vadsala , Pearce Fiona , Harwood Rowan H , McKeever Tricia M , Lim Wei Shen
Published: December 2020

Background

Up to 70% of patients report ongoing symptoms 4 weeks after hospitalisation for pneumonia; the impact on primary care is poorly understood.

Aim

To investigate the frequency of primary care consultations after hospitalisation for pneumonia, and the reasons for consultation.

Design and setting

A population-based cohort study in England using a UK primary care database of anonymised medical records (Clinical Practice Research Datalink [CPRD]) linked to Hospital Episode Statistics (HES).

Method

Adults with the first International Classification of Diseases, 10th Revision (ICD-10) code for pneumonia (J12–J18) recorded in HES between July 2002 and June 2017 were included. Primary care consultation within 30 days of discharge was identified as the recording of any medical Read code (excluding administration-related codes) in CPRD. Competing-risks regression analyses were conducted to determine the predictors of consultation and antibiotic use at consultation; death and readmission were competing events. Reasons for consultation were examined.

Results

Of 56 396 adults, 55.9% (n = 31 542) consulted primary care within 30 days of hospital discharge. The rate of consultation was highest within 7 days (4.7 per 100 person–days). The strongest predictor for consultation was a higher number of primary care consultations in the year before index admission (adjusted subhazard ratio [sHR] 8.98, 95% confidence interval [CI] = 6.42 to 12.55). The most common reason for consultation was for a respiratory disorder (40.7%, n = 12 840), 11.8% for pneumonia specifically. At consultation, 31.1% (n = 9823) received further antibiotics. Penicillins (41.6%, n = 5753/13 829) and macrolides (21.9%, n = 3029/13 829) were the most common antibiotics prescribed.

Conclusion

Following hospitalisation for pneumonia, a significant proportion of patients consulted primary care within 30 days, highlighting the morbidity experienced by patients during recovery from pneumonia.