bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Babesia odocoilei in Humans with Babesiosis Symptoms
Authors: Scott John D. , Sajid Muhammad S. , Pascoe Emily L. , Foley Janet E.
Published: May 2021

Human babesiosis is a life-threatening infectious disease that causes societal and economic impact worldwide. Several species of Babesia cause babesiosis in terrestrial vertebrates, including humans. A one-day clinic was held in Ontario, Canada, to see if a red blood cell parasite, which is present in blacklegged ticks, Ixodes scapularis, is present in humans. Based on PCR testing and DNA sequencing of the 18S rRNA gene, we unveiled B. odocoilei in two of 19 participants. DNA amplicons from these two patients are almost identical matches with the type strains of B. odocoilei in GenBank. In addition, the same two human subjects had the hallmark symptoms of human babesiosis, including night sweats, chills, fevers, and profound fatigue. Based on symptoms and molecular identification, we provide substantive evidence that B. odocoilei is pathogenic to humans. Dataset reveals that B. odocoilei serologically cross-reacts with Babesia duncani. Clinicians must realize that there are more than two Babesia spp. in North America that cause human babesiosis. This discovery signifies the first report of B. odocoilei causing human babesiosis.
Assessment of the Influence of Survey Design and Processing Choices on the Accuracy of Tree Diameter at Breast Height (DBH) Measurements Using UAV-Based Photogrammetry
Authors: Moreira Bruno Miguez , Goyanes Gabriel , Pina Pedro , Vassilev Oleg , Heleno Sandra
Published: May 2021

This work provides a systematic evaluation of how survey design and computer processing choices (such as the software used or the workflow/parameters chosen) influence unmanned aerial vehicle (UAV)-based photogrammetry retrieval of tree diameter at breast height (DBH), an important 3D structural parameter in forest inventory and biomass estimation. The study areas were an agricultural field located in the province of Málaga, Spain, where a small group of olive trees was chosen for the UAV surveys, and an open woodland area in the outskirts of Sofia, the capital of Bulgaria, where a 10 ha area grove, composed mainly of birch trees, was overflown. A DJI Phantom 4 Pro quadcopter UAV was used for the image acquisition. We applied structure from motion (SfM) to generate 3D point clouds of individual trees, using Agisoft and Pix4D software packages. The estimation of DBH in the point clouds was made using a RANSAC-based circle fitting tool from the TreeLS R package. All trees modeled had their DBH tape-measured on the ground for accuracy assessment. In the first study site, we executed many diversely designed flights, to identify which parameters (flying altitude, camera tilt, and processing method) gave us the most accurate DBH estimations; then, the resulting best settings configuration was used to assess the replicability of the method in the forested area in Bulgaria. The best configuration tested (flight altitudes of about 25 m above tree canopies, camera tilt 60°, forward and side overlaps of 90%, Agisoft ultrahigh processing) resulted in root mean square errors (RMSEs; %) of below 5% of the tree diameters in the first site and below 12.5% in the forested area. We demonstrate that, when carefully designed methodologies are used, SfM can measure the DBH of single trees with very good accuracy, and to our knowledge, the results presented here are the best achieved so far using (above-canopy) UAV-based photogrammetry.
Development of a Solar-Powered Unmanned Aerial Vehicle for Extended Flight Endurance
Authors: Chu Yauhei , Ho Chunleung , Lee Yoonjo , Li Boyang
Published: May 2021

Having an exciting array of applications, the scope of unmanned aerial vehicle (UAV) application could be far wider one if its flight endurance can be prolonged. Solar-powered UAV, promising notable prolongation in flight endurance, is drawing increasing attention in the industries’ recent research and development. This work arose from a Bachelor’s degree capstone project at Hong Kong Polytechnic University. The project aims to modify a 2-metre wingspan remote-controlled (RC) UAV available in the consumer market to be powered by a combination of solar and battery-stored power. The major objective is to greatly increase the flight endurance of the UAV by the power generated from the solar panels. The power system is first designed by selecting the suitable system architecture and then by selecting suitable components related to solar power. The flight control system is configured to conduct flight tests and validate the power system performance. Under fair experimental conditions with desirable weather conditions, the solar power system on the aircraft results in 22.5% savings in the use of battery-stored capacity. The decrease rate of battery voltage during the stable level flight of the solar-powered UAV built is also much slower than the same configuration without a solar-power system.
Stochastic Order and Generalized Weighted Mean Invariance
Authors: Sbert Mateu , Poch Jordi , Chen Shuning , Elvira Víctor
Published: May 2021

In this paper, we present order invariance theoretical results for weighted quasi-arithmetic means of a monotonic series of numbers. The quasi-arithmetic mean, or Kolmogorov–Nagumo mean, generalizes the classical mean and appears in many disciplines, from information theory to physics, from economics to traffic flow. Stochastic orders are defined on weights (or equivalently, discrete probability distributions). They were introduced to study risk in economics and decision theory, and recently have found utility in Monte Carlo techniques and in image processing. We show in this paper that, if two distributions of weights are ordered under first stochastic order, then for any monotonic series of numbers their weighted quasi-arithmetic means share the same order. This means for instance that arithmetic and harmonic mean for two different distributions of weights always have to be aligned if the weights are stochastically ordered, this is, either both means increase or both decrease. We explore the invariance properties when convex (concave) functions define both the quasi-arithmetic mean and the series of numbers, we show its relationship with increasing concave order and increasing convex order, and we observe the important role played by a new defined mirror property of stochastic orders. We also give some applications to entropy and cross-entropy and present an example of multiple importance sampling Monte Carlo technique that illustrates the usefulness and transversality of our approach. Invariance theorems are useful when a system is represented by a set of quasi-arithmetic means and we want to change the distribution of weights so that all means evolve in the same direction.
Energy Renewal: Isothermal Utilization of Environmental Heat Energy with Asymmetric Structures
Authors: Lee James Weifu
Published: May 2021

Through the research presented herein, it is quite clear that there are two thermodynamically distinct types (A and B) of energetic processes naturally occurring on Earth. Type A, such as glycolysis and the tricarboxylic acid cycle, apparently follows the second law well; Type B, as exemplified by the thermotrophic function with transmembrane electrostatically localized protons presented here, does not necessarily have to be constrained by the second law, owing to its special asymmetric function. This study now, for the first time, numerically shows that transmembrane electrostatic proton localization (Type-B process) represents a negative entropy event with a local protonic entropy change (ΔSL) in a range from −95 to −110 J/K∙mol. This explains the relationship between both the local protonic entropy change (ΔSL) and the mitochondrial environmental temperature (T) and the local protonic Gibbs free energy (ΔGL=TΔSL) in isothermal environmental heat utilization. The energy efficiency for the utilization of total protonic Gibbs free energy (ΔGT including ΔGL=TΔSL) in driving the synthesis of ATP is estimated to be about 60%, indicating that a significant fraction of the environmental heat energy associated with the thermal motion kinetic energy (kBT) of transmembrane electrostatically localized protons is locked into the chemical form of energy in ATP molecules. Fundamentally, it is the combination of water as a protonic conductor, and thus the formation of protonic membrane capacitor, with asymmetric structures of mitochondrial membrane and cristae that makes this amazing thermotrophic feature possible. The discovery of energy Type-B processes has inspired an invention (WO 2019/136037 A1) for energy renewal through isothermal environmental heat energy utilization with an asymmetric electron-gated function to generate electricity, which has the potential to power electronic devices forever, including mobile phones and laptops. This invention, as an innovative Type-B mimic, may have many possible industrial applications and is likely to be transformative in energy science and technologies for sustainability on Earth.
Low-Cost Soft Error Robust Hardened D-Latch for CMOS Technology Circuit
Authors: Hatefinasab Seyedehsomayeh , Rodriguez Noel , García Antonio , Castillo Encarnacion
Published: May 2021

In this paper, a Soft Error Hardened D-latch with improved performance is proposed, also featuring Single Event Upset (SEU) and Single Event Transient (SET) immunity. This novel D-latch can tolerate particles as charge injection in different internal nodes, as well as the input and output nodes. The performance of the new circuit has been assessed through different key parameters, such as power consumption, delay, Power-Delay Product (PDP) at various frequencies, voltage, temperature, and process variations. A set of simulations has been set up to benchmark the new proposed D-latch in comparison to previous D-latches, such as the Static D-latch, TPDICE-based D-latch, LSEH-1 and DICE D-latches. A comparison between these simulations proves that the proposed D-latch not only has a better immunity, but also features lower power consumption, delay, PDP, and area footprint. Moreover, the impact of temperature and process variations, such as aspect ratio (W/L) and threshold voltage transistor variability, on the proposed D-latch with regard to previous D-latches is investigated. Specifically, the delay and PDP of the proposed D-latch improves by 60.3% and 3.67%, respectively, when compared to the reference Static D-latch. Furthermore, the standard deviation of the threshold voltage transistor variability impact on the delay improved by 3.2%, while its impact on the power consumption improves by 9.1%. Finally, it is shown that the standard deviation of the (W/L) transistor variability on the power consumption is improved by 56.2%.
Prediction of Public Trust in Politicians Using a Multimodal Fusion Approach
Authors: Syed Muhammad Shehram Shah , Pirogova Elena , Lech Margaret
Published: May 2021

This paper explores the automatic prediction of public trust in politicians through the use of speech, text, and visual modalities. It evaluates the effectiveness of each modality individually, and it investigates fusion approaches for integrating information from each modality for prediction using a multimodal setting. A database was created consisting of speech recordings, twitter messages, and images representing fifteen American politicians, and labeling was carried out per a publicly available ranking system. The data were distributed into three trust categories, i.e., the low-trust category, mid-trust category, and high-trust category. First, unimodal prediction using each of the three modalities individually was performed using the database; then, using the outputs of the unimodal predictions, a multimodal prediction was later performed. Unimodal prediction was performed by training three independent logistic regression (LR) classifiers, one each for speech, text, and images. The prediction vectors from the individual modalities were then concatenated before being used to train a multimodal decision-making LR classifier. We report that the best performing modality was speech, which achieved a classification accuracy of 92.81%, followed by the images, achieving an accuracy of 77.96%, whereas the best performing model for text-modality achieved a 72.26% accuracy. With the multimodal approach, the highest classification accuracy of 97.53% was obtained when all three modalities were used for trust prediction. Meanwhile, in a bimodal setup, the best performing combination was that combining the speech and image visual modalities by achieving an accuracy of 95.07%, followed by the speech and text combination, showing an accuracy of 94.40%, whereas the text and images visual modal combination resulted in an accuracy of 83.20%.
Novel Control Strategy for Enhancing Microgrid Operation Connected to Photovoltaic Generation and Energy Storage Systems
Authors: Emara Dina , Ezzat Mohamed , Abdelaziz Almoataz Y. , Mahmoud Karar , Lehtonen Matti , Darwish Mohamed M. F.
Published: May 2021

Recently, the penetration of energy storage systems and photovoltaics has been significantly expanded worldwide. In this regard, this paper presents the enhanced operation and control of DC microgrid systems, which are based on photovoltaic modules, battery storage systems, and DC load. DC–DC and DC–AC converters are coordinated and controlled to achieve DC voltage stability in the microgrid. To achieve such an ambitious target, the system is widely operated in two different modes: stand-alone and grid-connected modes. The novel control strategy enables maximum power generation from the photovoltaic system across different techniques for operating the microgrid. Six different cases are simulated and analyzed using the MATLAB/Simulink platform while varying irradiance levels and consequently varying photovoltaic generation. The proposed system achieves voltage and power stability at different load demands. It is illustrated that the grid-tied mode of operation regulated by voltage source converter control offers more stability than the islanded mode. In general, the proposed battery converter control introduces a stable operation and regulated DC voltage but with few voltage spikes. The merit of the integrated DC microgrid with batteries is to attain further flexibility and reliability through balancing power demand and generation. The simulation results also show the system can operate properly in normal or abnormal cases, thanks to the proposed control strategy, which can regulate the voltage stability of the DC bus in the microgrid with energy storage systems and photovoltaics.
End-to-End Deep Neural Network Architectures for Speed and Steering Wheel Angle Prediction in Autonomous Driving
Authors: Navarro Pedro J. , Miller Leanne , Rosique Francisca , Fernández-Isla Carlos , Gila-Navarro Alberto
Published: May 2021

The complex decision-making systems used for autonomous vehicles or advanced driver-assistance systems (ADAS) are being replaced by end-to-end (e2e) architectures based on deep-neural-networks (DNN). DNNs can learn complex driving actions from datasets containing thousands of images and data obtained from the vehicle perception system. This work presents the classification, design and implementation of six e2e architectures capable of generating the driving actions of speed and steering wheel angle directly on the vehicle control elements. The work details the design stages and optimization process of the convolutional networks to develop six e2e architectures. In the metric analysis the architectures have been tested with different data sources from the vehicle, such as images, XYZ accelerations and XYZ angular speeds. The best results were obtained with a mixed data e2e architecture that used front images from the vehicle and angular speeds to predict the speed and steering wheel angle with a mean error of 1.06%. An exhaustive optimization process of the convolutional blocks has demonstrated that it is possible to design lightweight e2e architectures with high performance more suitable for the final implementation in autonomous driving.
Application of a New Semi-Automatic Algorithm for the Detection of Subsidence Areas in SAR Images on the Example of the Upper Silesian Coal Basin
Authors: Dwornik Maciej , Bała Justyna , Franczyk Anna
Published: May 2021

The article presents a new method of automatic detection of subsidence troughs caused by underground coal mining. Land subsidence that results from mining leads to considerable damage to subsurface and surface infrastructure such as walls of buildings, road surfaces, and water relations in built-up areas. Within next 30 years, all coal mines are to be closed as part of the transformation of the mining industry in Poland. However, this is not going to solve the problem of subsidence in those areas. Thus, it is necessary to detect and constantly monitor such hazards. One of the techniques used for that purpose is DInSAR (differential interferometry synthetic aperture radar). It makes it possible to monitor land deformation over large areas with high accuracy and very good spatial and temporal resolution. Subsidence, particularly related to mining, usually manifests itself in interferograms in the form of elliptical interferometric fringes. An important issue here is partial or full automation of the subsidence detection process, as manual analysis is time-consuming and unreliable. Most of the proposed trough detection methods (i.e., Hough transform, circlet transform, circular Gabor filters, template recognition) focus on the shape of the troughs. They fail, however, when the interferometric fringes do not have distinct elliptical shapes or are very noisy. The method presented in this article is based on the analysis of the variability of the phase value in a micro-area of a relatively high entropy. The algorithm was tested for differential interferograms form the Upper Silesian Coal Basin (southern Poland). Due to mining, the studied area is particularly prone to various types of subsidence.
Pore-Scale Investigation of Microscopic Remaining Oil Variation Characteristic in Different Flow Rates Using Micro-CT
Authors: Cheng Baoyang , Li Junjian , Jiang Shuai , Lu Chunhua , Su Hang , Yu Fuwei , Jiang Hanqiao
Published: May 2021

The main means of secondary oil recovery is water flooding, which has been widely used in various oilfields. Different flow rates have a great impact on the recovery ratio and the occurrence of remaining oil. Scholars have carried out extensive research on it, but mostly on the macro scale, and research on the three-dimensional micro scale is also limited by accuracy and a lack of accurate understanding. In this paper, micro-CT and core displacement experiments are used to intuitively show the occurrence state of remaining oil under different flow rates. Through a series of quantitative image processing methods and remaining oil classification methods, the occurrence characteristics of remaining oil under different flow rates are systematically evaluated and studied. The results show that: (1) As the displacement rate increases, the remaining oil saturation decreases (61%; 35%; 23%), but the remaining oil is more evenly distributed along the slice; (2) Two lower displacement speeds (0.003 mL/min; 0.03 mL/min) can reduce the volume of huge oil clusters under oil-saturated conditions, and the highest displacement speed (0.3 mL/min) can completely break up large oil clusters into small oil droplets. At the same time, the shape factor of the oil clusters also gradually increases; (3) The proportion of continuous remaining oil volume decreases, and the proportion of discontinuous remaining oil increases. Discontinuous remaining oil is the main production target of EOR; (4) After water flooding, the microscopic remaining oil is more inclined to the middle and corner parts of the larger pores.
Techno-Economic Analysis for the Optimal Design of a National Network of Agro-Energy Biomass Power Plants in Egypt
Authors: Abdelhady Suzan , Shalaby Mohamed A. , Shaban Ahmed
Published: May 2021

Extensive studies are conducted to investigate the potential and techno-economic feasibility of bioenergy routes in different countries. However, limited researches have been focused on the whole national agricultural bioenergy resources in Egypt. This research provides an assessment of the potential agricultural biomass resources for electric energy production in Egypt. It provides a strategic perspective for the design of a national network of biomass power plants to utilize the spatially available agricultural residues throughout a country. A comprehensive approach is presented and is applied to Egypt. First, the approach estimates the amount, type, and characteristics of the agricultural residues in each Egyptian governorate. Then, a techno-economic appraisal for locating a set of collection stations, and installing a direct combustion biomass power plant in each governorate is conducted. SAM simulation software is used for the technical and economic appraisals, and preliminary plant capacities are estimated assuming one plant in each governorate. Secondly, a new mixed integer linear programming (MILP) model is proposed and applied to optimally design a biomass supply chain national network to maximize the overall network profit. The network is composed of the collection stations, the potential biomass power plants, and the flow distribution of residues to supply the selected plants. Results indicate that the Egyptian agricultural residue resources can produce 10 million ton/year of dry residues, generate 11 TWh/year, an average levelized cost of electricity (LCOE) of 6.77 ¢/kWh, and supply about 5.5% of Egypt’s current energy needs. Moreover, the optimization results reveal that a network of 5 biomass power plants with capacities of 460 MW each should be established in Egypt. This approach is thought to be particularly suitable to other developing countries whose energy demand depends on fossil fuels and poses a heavy economic burden, and whose residues are massive, wasted, and not industrialized. The obtained results may also enrich future comparative research that studies the impact and feasibility of implementing agro-residue based biomass electric energy generation.
Thermal Resistance Matrix Extraction from Finite-Element Analysis for High-Frequency Magnetic Components
Authors: Salinas Guillermo , Serrano-Vargas Juan A. , Muñoz-Antón Javier , Alou Pedro
Published: May 2021

The thermal management of magnetic components for power electronics is crucial to ensure their reliability. However, conventional thermal models for magnetic components are known to have either poor accuracy or excessive complexity. Contrary to these models, the use of Thermal Resistance Matrices is proposed in this paper instead, which combine both accuracy and simplicity. They are usually used to characterize semiconductor devices, but not for magnetic components. The guidelines to apply Thermal Resistance Matrices for magnetic components are discussed in detail. The accuracy of this model is validated by 3D FEA simulations and experimental results, showing an absolute error lower than 5 ∘C and a relative error between −6.4% and 3.9%, which is outstanding compared to the carried-out literature review.
Wildlife Response to Wildfire in a Northern New York Jack Pine Barrens
Authors: Cave Hannah , Adams Matthew , Jaeger Tristan , Peet Taylor , Staats Lloyd , Garneau Danielle , Lesser Mark
Published: May 2021

Natural disturbances are an integral part of forested ecosystem function and successional pathways. In many forested ecosystems, wildfires are critical to shaping composition and structure, which, in turn, has major implications for wildlife usage and behavior. In July 2018, a wildfire burned 225 ha of the Altona Flat Rock pine barrens in northern New York. This event presented the opportunity to study how wildlife respond to the immediate effects of disturbance in this unique habitat but also how that response would change through time as regeneration progressed. Game cameras were deployed from September 2018 to September 2020 at two reference (unburned) and two disturbed (burned) sites within the pine barrens. We analyzed total and seasonal occurrences, to determine how usage differed between disturbed and reference conditions, and with time since disturbance. Additionally, for coyote (Canis latrans, Say), white-tailed deer (Odocoileus virginianus, Zimmermann), and snowshoe hare (Lepus americanus, Erxleben), we evaluated daily activity patterns and overlap to determine how predator–prey relationships differed between conditions, and with time since disturbance. Over 730 days, a total of 1048 wildlife occurrences were captured across 23 wildlife species. Fifty-seven percent of all occurrences were at reference sites with over 100 more occurrences than at disturbed sites; however, differences were most pronounced immediately following the fire and overall occurrences have grown more similar between the sites over time. Specifically, deer and hare were found more often at reference sites immediately following the fire, but shifted to using both conditions equally by the first growing season. Habitat overlap among sympatric prey (deer, hare) can be explained by understory regeneration increasing foraging opportunities and concealment cover in the disturbed condition, while predators (coyotes) tracked prey availability regardless of the habitat condition. This study provides wildlife management guidance on habitat use and response to disturbance for these unique sandstone pavement barrens.
Generation and Genetic Correction of USH2A c.2299delG Mutation in Patient-Derived Induced Pluripotent Stem Cells
Authors: Liu Xuezhong , Lillywhite Justin , Zhu Wenliang , Huang Zaohua , Clark Anna M , Gosstola Nicholas , Maguire Colin T. , Dykxhoorn Derek , Chen Zheng-Yi , Yang Jun
Published: May 2021

Usher syndrome (USH) is the leading cause of inherited combined hearing and vision loss. As an autosomal recessive trait, it affects 15,000 people in the United States alone and is responsible for ~21% of inherited blindness and 3 to 6% of early childhood deafness. Approximately 2/3 of the patients with Usher syndrome suffer from USH2, of whom 85% have mutations in the USH2A gene. Patients affected by USH2 suffer from congenital bilateral progressive sensorineural hearing loss and retinitis pigmentosa which leads to progressive loss of vision. To study the molecular mechanisms of this disease and develop a gene therapy strategy, we generated human induced pluripotent stem cells (iPSCs) from peripheral blood mononuclear cells (PBMCs) obtained from a patient carrying compound heterozygous variants of USH2A c.2299delG and c.1256G>T and the patient’s healthy sibling. The pluripotency and stability were confirmed by pluripotency cell specific marker expression and molecular karyotyping. Subsequent CRISPR/Cas9 genome editing using a homology repair template was used to successfully correct the USH2A c.2299delG mutation back to normal c.2299G in the generated patient iPSCs to create an isogenic pair of lines. Importantly, this manuscript describes the first use of the recombinant Cas9 and synthetic gRNA ribonucleoprotein complex approach to correct the USH2A c.2299delG without additional genetic effects in patient-derived iPSCs, an approach that is amenable for therapeutic genome editing. This work lays a solid foundation for future ex vivo and in vivo gene therapy investigations and these patient’s iPSCs also provide an unlimited resource for disease modeling and mechanistic studies.
Mycobacterium Avium Complex Genitourinary Infections: Case Report and Literature Review
Authors: Rajendraprasad Sanu , Destache Christopher , Quimby David
Published: May 2021

Nontuberculous mycobacterial (NTM) genitourinary (GU) infections are relatively rare, and there is frequently a delay in diagnosis. Mycobacterium avium-intracellulare complex (MAC) cases seem to be less frequent than other NTM as a cause of these infections. In addition, there are no set treatment guidelines for these organisms in the GU tract. Given the limitations of data this review summarizes a case presentation of this infection and the literature available on the topic. Many different antimicrobial regimens and durations have been used in the published literature. While the infrequency of these infections suggests that there will not be randomized controlled trials to determine optimal therapy, our case suggests that a brief course of amikacin may play a useful role in those who cannot tolerate other antibiotics.
Promoting Sexual Health Knowledge through a Social Workers’ Mentorship Programme: A Study of Gay Young Adults
Authors: Dos Santos Luis Miguel
Published: May 2021

Mentorship of counselling for men who have sex with other men and gay youths is understudied. The purpose of this study was to explore the effectiveness of how the Mentor Modelling Programme may increase the sexual health knowledge and practices of gay youths. As an expansion of a previous study with the application of the conceptual framework, this study mapped a sexual health promotion plan and the six-month-long Mentor Modelling Programme with the coordination of eight health and social care professionals and 40 gay youths. The researcher found positive and supportive feedback of how the Mentor Modelling Programme could increase sexual health knowledge, promote long-term relationships, and encourage referral of other vulnerable people. The results indicated two directions. The first solicited the perspectives of health and social care professionals and gay youths on how they would describe the relationship, application to, and experience of the Mentor Modelling Programme and second, assessed how this Mentor Modelling Programme influenced and changed the ideas and senses about counselling services and mentorship. This study reflected the current limited sexual promotion between traditional and inclusive sexual health materials. It further indicated the necessary concerns and areas of attention needed to upgrade the materials and host inclusive sexual health materials for both youths and adults in the communities.
Associations between Child Mental Well-Being or Conflicts during Mealtime and Picky Eating Behaviour
Authors: Lepinioti Maria , Specht Ina Olmer , Rohde Jeanett Friis , Stougaard Maria , Händel Mina Nicole , Olsen Nanna Julie , Heitmann Berit Lilienthal
Published: May 2021

Pickiness is an eating behavior that many families with young children face. Having joint family meals may impact the child’s pickiness, for instance by influencing their willingness to try novel foods. Moreover, picky children have been shown to display greater emotionality. The aim of this study was to investigate if children’s mental well-being and parent-reported conflicts during mealtime were associated with pickiness among obesity-prone children. Data was obtained from the baseline examination of the Healthy Start intervention study, the Danish Medical Birth registry and the Danish Health Visitor’s Child Health Database, and included 635 children aged 2–6 years that were all at high risk for becoming overweight later in life. Children’s mental well-being was measured by the strengths and difficulties questionnaire. Crude and adjusted ordinal logistic regressions were used to investigate the cross-sectional associations. Children had a higher odds associated with changing from a category of less pickiness to a category of more pickiness for each one point higher SDQ score (ORadj. = 1.35, 95% CI = 1.14; 1.61) and lower odds (ORadj. = 0.57, 95% CI = 0.38; 0.86) associated with changing pickiness category towards more pickiness for each one point higher SDQ prosocial score. Moreover, children with conflicts during mealtime had higher odds of being in a worse pickiness category compared to children without conflicts (ORadj. = 3.37, 95% CI = 2.27; 5.01). This study showed that among obesity-prone children, behavioral problems, as well as conflicts during mealtime, were associated with more picky behaviors. Further longitudinal studies are needed to confirm the findings, as are studies including general child population subsets.
Timing of Home Health Care Initiation and 30-Day Rehospitalizations among Medicare Beneficiaries with Diabetes by Race and Ethnicity
Authors: Smith Jamie M. , Lin Haiqun , Thomas-Hawkins Charlotte , Tsui Jennifer , Jarrín Olga F.
Published: May 2021

Older adults with diabetes are at elevated risk of complications following hospitalization. Home health care services mitigate the risk of adverse events and facilitate a safe transition home. In the United States, when home health care services are prescribed, federal guidelines require they begin within two days of hospital discharge. This study examined the association between timing of home health care initiation and 30-day rehospitalization outcomes in a cohort of 786,734 Medicare beneficiaries following a diabetes-related index hospitalization admission during 2015. Of these patients, 26.6% were discharged to home health care. To evaluate the association between timing of home health care initiation and 30-day rehospitalizations, multivariate logistic regression models including patient demographics, clinical and geographic variables, and neighborhood socioeconomic variables were used. Inverse probability-weighted propensity scores were incorporated into the analysis to account for potential confounding between the timing of home health care initiation and the outcome in the cohort. Compared to the patients who received home health care within the recommended first two days, the patients who received delayed services (3–7 days after discharge) had higher odds of rehospitalization (OR, 1.28; 95% CI, 1.25–1.32). Among the patients who received late services (8–14 days after discharge), the odds of rehospitalization were four times greater than among the patients receiving services within two days (OR, 4.12; 95% CI, 3.97–4.28). Timely initiation of home health care following diabetes-related hospitalizations is one strategy to improve outcomes.
Association between Crystalline Silica Dust Exposure and Silicosis Development in Artificial Stone Workers
Authors: Requena-Mullor Mar , Alarcón-Rodríguez Raquel , Parrón-Carreño Tesifón , Martínez-López Jose Joaquín , Lozano-Paniagua David , Hernández Antonio F.
Published: May 2021

Occupational exposure to respirable crystalline silica (SiO2) is one of the most common and serious risks because of the health consequences for the workers involved. Silicosis is a progressive, irreversible, and incurable fibrotic lung disease caused by the inhalation of respirable crystalline silica dust. A cross-sectional epidemiological study was carried out to assess the occupational risk factors that may contribute to the onset of silicosis in workers carrying out work activities with the inhalation of silica compact dust. The study population consisted of 311 artificial stone workers from the province of Almeria (southeast of Spain). Among them, 64 were previously diagnosed with silicosis and the rest of the participants (n = 247 workers) were not diagnosed with such a disease. The workers showing a greater risk of developing silicosis were those who installed kitchen worktops at consumers’ homes, as they did not use face-masks or were not provided with personal protective equipment (PPE) by their business. The results of this study provide support for the evidence indicating that silicosis is a major emerging health concern for workers in the artificial stone sector. Exposure to crystalline silica dust thus can influence the development of silicosis in those cases where individual and collective protection measures are not used or adequately applied.
Organisational Measures and Strategies for a Healthy and Sustainable Extended Working Life and Employability—A Deductive Content Analysis with Data Including Employees, First Line Managers, Trade Union Representatives and HR-Practitioners
Authors: Nilsson Kerstin , Nilsson Emma
Published: May 2021

Due to the global demographic change many more people will need to work until an older age, and organisations and enterprises need to implement measures to facilitate an extended working life. The aim of this study was to investigate organisational measures and suggestions to promote and make improvements for a healthy and sustainable working life for all ages in an extended working life. This is a qualitative study, and the data were collected through both focus group interviews and individual interviews that included 145 participants. The study identified several suggestions for measures and actions to increase employability in the themes: to promote a good physical and mental work environment; to promote personal financial and social security; to promote relations, social inclusion and social support in the work situation; and to promote creativity, knowledge development and intrinsic work motivation, i.e., based on the spheres of determination in the theoretical swAge-model (sustainable working life for all ages). Based on the study results a tool for dialogue and discussion on employee work situation and career development was developed, and presented in this article. Regular conversations, communication and close dialogue are needed and are a prerequisite for good working conditions and a sustainable working environment, as well as to be able to manage employees and develop the organisation further. The identified measures need to be revisited regularly throughout the employees’ entire working life to enable a healthy and sustainable working life for all ages.
Once-Weekly Whole-Body Electromyostimulation Increases Strength, Stability and Body Composition in Amateur Golfers. A Randomized Controlled Study
Authors: Zink-Rückel Carina , Kohl Matthias , Willert Sebastian , von Stengel Simon , Kemmler Wolfgang
Published: May 2021

Whole-body electromyostimulation (WB-EMS), an innovative training technology, is considered as a joint-friendly, highly customizable and particularly time-effective option for improving muscle strength and stability, body composition and pain relief. The aim of the present study was to determine the effect of 16 weeks of once-weekly WB-EMS on maximum isometric trunk (MITS), leg extensor strength (MILES), lean body mass (LBM) and body-fat content. A cohort of 54 male amateur golfers, 18 to 70 years old and largely representative for healthy adults, were randomly assigned to a WB-EMS (n = 27) or a control group (CG: n = 27). Bipolar low-frequency WB-EMS combined with low-intensity movements was conducted once per week for 20 min at the participants’ locations, while the CG maintained their habitual activity. The intention to treat analysis with multiple imputation was applied. After 16 weeks of once-weekly WB-EMS application with an attendance rate close to 100%, we observed significant WB-EMS effects on MITS (p < 0.001), MILES (p = 0.001), LBM (p = 0.034), but not body-fat content (p = 0.080) and low-back pain (LBP: p ≥ 0.078). In summary, the commercial setting of once-weekly WB-EMS application is effective to enhance stability, maximum strength, body composition and, to a lower extent, LBP in amateur golfers widely representative for a healthy male cohort.
The Use of GIS Technology to Optimize COVID-19 Vaccine Distribution: A Case Study of the City of Warsaw, Poland
Authors: Krzysztofowicz Sylwia , Osińska-Skotak Katarzyna
Published: May 2021

The COVID-19 pandemic is a global challenge, and the key to tackling it is vaccinating a specified percentage of the population to acquire herd immunity. The observed problems with the efficiency of the vaccination campaigns in numerous countries around the world, as well as the approach used at the initial stage of the National Immunization Program in Poland, prompted us to analyse the possibility of using GIS technology to optimize the distribution of vaccines to vaccination sites so as to minimize the period needed to vaccinate individual population groups. The research work was carried out on the example of Warsaw, the capital of Poland and the city with the largest population in the country. The analyses were carried out for the 60–70 and 50–60 age groups, in various approaches and for vaccines of different companies (Moderna, BioNTech, AstraZeneca), used to vaccinate people in Poland. The proposed approach to optimize vaccine distribution uses Thiessen’s tessellation to obtain information on the number of people in a given population group living in the area of each vaccination site, and then to estimate the time needed to vaccinate that group. Compared to the originally used vaccination scenario with limited availability of vaccines, the proposed approach allows practitioners to design fast and efficient distribution scenarios. With the developed methodology, we demonstrated ways to achieve uniform vaccination coverage throughout the city. We anticipate that the proposed approach can be easily automated and broadly applied to various urban settings.
Rethinking Cell Phone Use While Driving: Isolated Risk Behavior or a Pattern of Risk-Taking Associated with Impulsivity in Young Drivers?
Authors: Walshe Elizabeth A. , Winston Flaura K. , Romer Dan
Published: May 2021

This study examines whether cell phone use stands apart from a general pattern of risky driving practices associated with crashes and impulsivity-related personality traits in young drivers. A retrospective online survey study recruited 384 young drivers from across the United States using Amazon’s Mechanical Turk to complete a survey measuring risky driving practices (including cell phone use), history of crashes, and impulsivity-related personality traits. Almost half (44.5%) of the drivers reported being involved in at least one crash, and the majority engaged in cell phone use while driving (up to 73%). Factor analysis and structural equation modeling found that cell phone use loaded highly on a latent factor with other risky driving practices that were associated with prior crashes (b = 0.15, [95% CI: 0.01, 0.29]). There was also an indirect relationship between one form of impulsivity and crashes through risky driving (b = 0.127, [95% CI: 0.01, 0.30]). Additional analyses did not find an independent contribution to crashes for frequent cell phone use. These results suggest a pattern of risky driving practices associated with impulsivity in young drivers, indicating the benefit of exploring a more comprehensive safe driving strategy that includes the avoidance of cell phone use as well as other risky practices, particularly for young drivers with greater impulsive tendencies.
Using the Water and Sanitation for Health Facility Improvement Tool (WASH FIT) in Zimbabwe: A Cross-Sectional Study of Water, Sanitation and Hygiene Services in 50 COVID-19 Isolation Facilities
Authors: Hirai Mitsuaki , Nyamandi Victor , Siachema Charles , Shirihuru Nesbert , Dhoba Lovemore , Baggen Alison , Kanyowa Trevor , Mwenda John , Dodzo Lilian , Manangazira Portia , Chirume Musiwarwo , Overmars Marc , Honda Yuhei , Chouhan Ajay , Nzara Boniface , Vavirai Placidia , Sithole Zvanaka , Ngwakum Paul , Chitsungo Shelly , Cronin Aidan A.
Published: May 2021

The availability of water, sanitation and hygiene (WASH) services is a key prerequisite for quality care and infection prevention and control in health care facilities (HCFs). In 2020, the COVID-19 pandemic highlighted the importance and urgency of enhancing WASH coverage to reduce the risk of COVID-19 transmission and other healthcare-associated infections. As a part of COVID-19 preparedness and response interventions, the Government of Zimbabwe, the United Nations Children’s Fund (UNICEF), and civil society organizations conducted WASH assessments in 50 HCFs designated as COVID-19 isolation facilities. Assessments were based on the Water and Sanitation for Health Facility Improvement Tool (WASH FIT), a multi-step framework to inform the continuous monitoring and improvement of WASH services. The WASH FIT assessments revealed that one in four HCFs did not have adequate services across the domains of water, sanitation, health care waste, hand hygiene, facility environment, cleanliness and disinfection, and management. The sanitation domain had the largest proportion of health care facilities with poor service coverage (42%). Some of the recommendations from this assessment include the provision of sufficient water for all users, Menstrual Hygiene Management (MHM)- and disability-friendly sanitation facilities, handwashing facilities, waste collection services, energy for incineration or waste treatment facilities, cleaning supplies, and financial resources for HCFs. WASH FIT may be a useful tool to inform WASH interventions during the COVID-19 pandemic and beyond.
Health Communication in COVID-19 Era: Experiences from the Italian VaccinarSì Network Websites
Authors: Arghittu Antonella , Dettori Marco , Dempsey Emma , Deiana Giovanna , Angelini Claudio , Bechini Angela , Bertoni Caterina , Boccalini Sara , Bonanni Paolo , Cinquetti Sandro , Chiesi Fabrizio , Chironna Maria , Costantino Claudio , Ferro Antonio , Fiacchini Daniel , Icardi Giancarlo , Poscia Andrea , Russo Francesca , Siddu Andrea , Spadea Antonietta , Sticchi Laura , Triassi Maria , Vitale Francesco , Castiglia Paolo
Published: May 2021

In 2013, in a bid to combat Vaccine Hesitancy (VH) and provide information on vaccines by communicating with the general public and the health community (e.g., healthcare workers and public health operators), the Italian Society of Hygiene and Preventive Medicine (S.It.I.) published the national website “VaccinarSì”. The project was subsequently extended to ten Italian Regions. This led to the creation of the VaccinarSì Network, whose websites are publicly owned. The aim of this work was to present the framework of the websites of the VaccinarSì Network and to analyse user behaviour in the pre-COVID-19-era (dating from each website’s publication until 31 January 2020) and in the COVID-19-era (from 1 February 2020 to 31 January 2021). Some metrics such as the number of visits to the site (sessions, number of users and average session duration), user behaviour (pages viewed, bounce rate and organic search) and the session acquisition path (direct traffic, referrals and social traffic) were searched, extrapolated and processed with Google Analytics. Qualitative and normally distributed quantitative variables were summarised with their absolute (relative) frequencies and means. Statistical differences between the means of the two periods were evaluated through paired t-test. A two-tailed p-value less than 0.05 was considered to be statistically significant. When the total values recorded over the period were compared, an overall increase in metrics was observed—the number of individual users, visits and individual pageviews rose in a statistically significant way. Our study aimed to highlight how combining disciplines such as health education and digital communication via Information and Communication Technologies (ICT) represents the best strategy to support citizens. This approach gives them the tools to become independent and responsible players that are capable of voluntarily and consciously choosing to adhere to vaccination programs. The VaccinarSì Network’s goal for the future is to reach an even wider audience. By building each user’s critical knowledge, this network enables users to be active components of a wider, more empowered community.