bluuebunny/crossref_metadata_2025 huggingface dataset:
Friction and Wear Behaviors of Fe-19Cr-15Mn-0.66N Steel at High Temperature
Authors: Sheng Shaolong , Zhou Huiling , Wang Xiaojing , Qiao Yanxin , Yuan Hongtao , Chen Jian , Yang Lanlan , Wang Dongpeng , Liu Zhenguang , Zou Jiasheng , Zheng Zhibin , Li Jingyong
Published: October 2021

The friction and wear behaviors of Fe-19Cr-15Mn-0.66N steel were investigated under applied loads of 5 N and 15 N at the wear-testing temperatures of 300 °C and 500 °C using a ball-on-disc tribometer. The wear tracks were evaluated by scanning electron microscopy (SEM) and laser scanning confocal microscopy (LSCM) to reveal the variation in morphologies. Energy-dispersive X-ray spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS) were used to determine the components of oxide layers formed on wear surfaces. The results demonstrated that the oxide layers are favorable for obtaining a low friction coefficient under all conditions. The average friction coefficient decreased with increasing load at 300 °C, while it increased with the increase in applied load at 500 °C. At 300 °C, severe abrasive wear characterized by grooves resulted in a high friction coefficient with 5 N applied, whereas the formation of a denser oxide layer consisting of Cr2O3, FeCr2O4, Fe2O3, etc., and the increased hardness caused by work hardening led to a decrease in friction characterized by mild adhesive wear. At 500 °C, the transformation of Fe2O3 to the relatively softer Fe3O4 and the high production of lubricating Mn2O3 resulted in a minimum average friction coefficient (0.34) when 5 N was applied. However, the softening caused by high temperature weakened the hardening effect, and thus the friction coefficient increased with 15 N applied at 500 °C.
Novelties in Fuscosporellaceae (Fuscosporellales): Two New Parafuscosporella from Thailand Revealed by Morphology and Phylogenetic Analyses
Authors: Boonyuen Nattawut , Chuaseeharonnachai Charuwan , Nuankaew Salilaporn , Kwantong Papichaya , Pornputtapong Natapol , Suwannarach Nakarin , Jones E. B. Gareth , Somrithipol Sayanh
Published: October 2021

Asexual morphs of freshwater fungi have been mostly reported from tropical and subtropical regions. From our ongoing investigation of the diversity and taxonomy of freshwater microfungi in Thailand, a country with rich natural resources and diverse ecosystems, Parafuscosporella ellipsoconidiogena sp. nov. and P. obovata sp. nov., collected from decaying submerged twigs at Phalad Waterfall in a conserved forest in Chiang Mai Zoo, Chiang Mai Province, northern Thailand, are proposed. DNA phylogenies based on a combination of ITS and LSU datasets support the placement of these species in Parafuscosporella (Fuscosporellaceae, Fuscosporellales, Sordariomycetes), and these two novel species differ from known species in terms of morphology. Detailed descriptions, illustrations and a key to Parafuscosporella species are provided, as well as comparisons with other accepted Parafuscosporella species.
The Pattern of Second Primary Tumours in Postmenopausal Women with Prior Breast Cancer in Western Romania: A Retrospective, Single-Institution Study
Authors: Oprean Cristina Marinela , Badau Larisa Maria , Han Robert-Alexandru , Hoinoiu Teodora , Dragomir Gabriel-Mugur , Grujic Daciana , Dragomir Tiberiu , Dema Alis
Published: October 2021

With improved survival, more patients with prior breast cancer are at risk of having a second primary cancer diagnosed. The pattern and impact of second primary cancers following breast cancer is important for overall breast cancer therapeutic management. Our study is a first analysis of the trend of second primary tumours over time in terms of incidence, sites with significantly elevated risks and correlation with stage, molecular subtype and therapeutic strategies conducted in Eastern Europe in postmenopausal women with breast cancer. Patients and methods: Our study population included 28 patients with prior breast cancer (BC) and second primary tumours, which were diagnosed and treated in our Institution between 2004 and 2017. The criteria for selection were based on the completeness of the documentation of the first treatment for breast cancer, stage of disease, molecular subtype, the site of origin of the second tumours and the survival data. Results: An increased risk of second primary cancer was associated with the 51–60 years age group (53.6%), with the greater prevalence in patients living in urban environments (82.1%). The use of chemotherapy increased the risk of the occurrence of gynecological second malignancies (75%). Our study is a first analysis of the trend of second primary tumours over time in terms of identifying sites with significantly elevated risks and correlation with therapeutic strategies conducted in Eastern Europe in postmenopausal women with breast cancer. Conclusions: Our study is a first analysis of the trend of second primary tumours over time in terms of correlation with luminal subtype and stage at diagnosis of primary cancer sites with significantly elevated risks and correlation with therapeutic strategies in postmenopausal women with breast cancer conducted in Eastern Europe. The reported time from primary to second primary malignancy onset, with a significantly higher rate for postmenopausal breast cancer patients, was less than one year (50%). With the advances and wider availability of genetic testing (e.g., gene panels), patients diagnosed with multiple primaries should be increasingly investigated for an underlying cancer predisposition. Postmenopausal women with breast cancer may benefit from increased surveillance and advice to avoid second malignancies.
36 Months’ Clinical Performance of Primary Incisors Restorations Depending on the Type of Restorative Technique Used: A Randomized Controlled Trial
Authors: Sarapultseva Maria , Sarapultsev Alexey
Published: October 2021

Background: Depending on the stage of the disease and the child’s age, different types of interventions can be used to treat early childhood caries. As a result, there is not enough clinical evidence to show that one kind of restoration is better than another. The objective of this longitudinal study was to compare the results of 36 months of clinical performance of primary incisors restorations using an incremental layering technique with the ceram.x® SphereTECTM nanoceramic composite (Dentsply) or a full coverage technique with transparent strip crowns (Frasaco GmbH) with the same composite in children with or without biological caries risk factors. Methods: 80 patients (females 42/52.5%) were included in the study. A total of 160 restorations were performed. Restorations were evaluated at baseline and at 6, 12, 24, and 36 months, according to modified Ryge criteria. Conclusion: Restorations with both techniques were clinically highly successful and showed similar clinical performance at postoperatively regardless of the presence of biological factors of caries risk.
Feeding the New Zealand Family of Five Million, 5+ a Day of Vegetables?
Authors: Curran-Cournane Fiona , Rush Elaine
Published: October 2021

New Zealand (NZ), a food-producing, geographically isolated nation has set a domestic dietary guideline of 5 servings a day/person of vegetables. The question “does New Zealand produce enough servings and diversity of vegetables to meet dietary recommendations of 5 diverse servings/day?” was explored. Publicly available data for weight of vegetables produced and hectares of land used in relation to five vegetable diversity groups of white roots-and-tubers, vitamin-A-vegetables, other vegetables, dark-green-leafy vegetables, and legumes were examined. Overall, the equivalent of 11.7 servings of vegetables/day/NZperson was produced. Potatoes, onions, carrots, and squash were produced in the largest quantities (total 7.7 servings/day/NZperson) but most onions, squash, and some potatoes were exported (2.5 servings/day/NZperson). There was inadequate production of legumes, 0.6 servings/day/NZ person (peas and beans) and dark-green-leafy vegetables, 0.03 servings/day/NZ person (silverbeet and spinach). Only 0.2% of the total land area of NZ is used for growing vegetables. Expansion of the area used for vegetables should be considered in the context of sustainable production and irreversible pressures confronting the unique land and soils the land use requires, as well as current environmental impacts of intensive conventional outdoor vegetable production. An environmentally sustainable and diverse supply of vegetables for domestic use needs to be strategically and actively protected.
Estimation of Azimuth and Elevation for Multiple Acoustic Sources Using Tetrahedral Microphone Arrays and Convolutional Neural Networks
Authors: Sakavičius Saulius , Serackis Artūras
Published: October 2021

A method for multiple acoustic source localization using a tetrahedral microphone array and a convolutional neural network (CNN) is presented. Our method presents a novel approach for the estimation of acoustic source direction of arrival (DoA), both azimuth and elevation, utilizing a non-coplanar microphone array. In our approach, we use the phase component of the short-time Fourier transform (STFT) of the microphone array’s signals as the input feature for the CNN and a DoA probability density map as the training target. Our findings imply that our method outperforms the currently available methods for multiple sound source DoA estimation in both accuracy and speed.
Assessing Uncertainties of Life-Cycle CO2 Emissions Using Hydrogen Energy for Power Generation
Authors: Ozawa Akito , Kudoh Yuki
Published: October 2021

Hydrogen and its energy carriers, such as liquid hydrogen (LH2), methylcyclohexane (MCH), and ammonia (NH3), are essential components of low-carbon energy systems. To utilize hydrogen energy, the complete environmental merits of its supply chain should be evaluated. To understand the expected environmental benefit under the uncertainty of hydrogen technology development, we conducted life-cycle inventory analysis and calculated CO2 emissions and their uncertainties attributed to the entire supply chain of hydrogen and NH3 power generation (co-firing and mono-firing) in Japan. Hydrogen was assumed to be produced from overseas renewable energy sources with LH2/MCH as the carrier, and NH3 from natural gas or renewable energy sources. The Japanese life-cycle inventory database was used to calculate emissions. Monte Carlo simulations were performed to evaluate emission uncertainty and mitigation factors using hydrogen energy. For LH2, CO2 emission uncertainty during hydrogen liquefaction can be reduced by using low-carbon fuel. For MCH, CO2 emissions were not significantly affected by power consumption of overseas processes; however, it can be reduced by implementing low-carbon fuel and waste-heat utilization during MCH dehydrogenation. Low-carbon NH3 production processes significantly affected power generation, whereas carbon capture and storage during NH3 production showed the greatest reduction in CO2 emission. In conclusion, reducing CO2 emissions during the production of hydrogen and NH3 is key to realize low-carbon hydrogen energy systems.
Real-Time Monitoring and Static Data Analysis to Assess Energetic and Environmental Performances in the Wastewater Sector: A Case Study
Authors: di Cicco Maria , Masiello Antonio , Spagnuolo Antonio , Vetromile Carmela , Borea Laura , Giannella Giuseppe , Iovinella Manuela , Lubritto Carmine
Published: October 2021

Real-time monitoring of energetic-environmental parameters in wastewater treatment plants enables big-data analysis for a true representation of the operating condition of a system, being still frequently mismanaged through policies based on the analysis of static data (energy billing, periodic chemical–physical analysis of wastewater). Here we discuss the results of monitoring activities based on both offline (“static”) data on the main process variables, and on-line (“dynamic”) data collected through a monitoring system for energetic-environmental parameters (dissolved oxygen, wastewater pH and temperature, TSS intake and output). Static-data analysis relied on a description model that employed statistical normalization techniques (KPIs, operational indicators). Dynamic data were statistically processed to explore possible correlations between energetic-environmental parameters, establishing comparisons with static data. Overall, the system efficiently fulfilled its functions, although it was undersized compared to the organic and hydraulic load it received. From the dynamic-data analysis, no correlation emerged between energy usage of the facility and dissolved oxygen content of the wastewater, whereas the TSS removal efficiency determined through static measurements was found to be underestimated. Finally, using probes allowed to characterize the pattern of pH and temperature values of the wastewater, which represent valuable physiological data for innovative and sustainable resource recovery technologies involving microorganisms.
Root System Analysis and Influence of Moisture on Soil Electrical Properties
Authors: Silva Filho Antonio M. , Silva José R. S. , Fernandes Glaciano M. , Morais Lucas D. S. , Coimbra Antonio P. , Calixto Wesley P.
Published: October 2021

This paper proposes a methodology for plant root system and soil moisture analysis through the geoelectrical prospecting method. Overall, bench and field experiments are implemented to analyze the behavior of electrical conductivity of the soil in relation to moisture content and plant root system growth. Specifically, Wenner array and lateral profiling technique are used to stratify the soil in horizontal layers, performing in-depth analysis. Millet (Pennisetum glaucum L.), bean (Phaseolus vulgaris L.) and sorghum (Sorghum bicolor L. Moench) are used to analyze the root system behavior. Results show that the soil water dynamics can be observed through soil stratification in horizontal layers and the plant root system is correlated with apparent electrical conductivity of the soil. Thus, geoelectric prospecting methods can be used as an analysis tool, both of soil moisture dynamics and of plant roots, to support decision making regarding soil and crop management.
A Greater Share of Organic Agriculture in Relation to Food Security Resulting from the Energy Demand Obtained from Food—Scenarios for Poland until 2030
Authors: Kuczuk Anna , Widera Katarzyna
Published: October 2021

In line with the assumptions of the European Green Deal, it is planned to allocate 25% of agricultural land to organic farming by 2030. However, the question arises: what share of organic farming and under what additional conditions is it able to feed the population of a given country? The aim of the article is to try to answer the above question for the example of Poland. In particular, the authors analyze: the problem of satisfying people’s nutritional needs, reducing food wastage, and finally the relationship between sustainable consumption and increasing the share of organic farming in Poland. Attention was also paid to possible potential changes in the agricultural land area with the growing share of organic farming. The proposed scenarios for the transition to organic farming concern the year 2030. We propose to increase the share in 20%, 40% and 60%, imposing them on changes in sustainable consumption of +/−25%, +/−50% and +/−75%. The available FAOSTAT (Statistic Data of the Food and Agriculture Organization of the United Nations) and Statistics Poland data from 2008–2018 were used for the analysis. The model scenario analysis showed that the total food demand will be met in most of the scenarios. It has also been shown that with a higher level of transition to organic farming, it becomes necessary to reduce food wastage. Changing the consumption style not only creates opportunities for a wider development of organic farming in Poland but can also generate free areas on arable land (e.g., even more than 26% of free area in the +/−75% scenario). This may create potential opportunities for their use in the production of consumer crops, but also in the protection of the natural and agricultural environment.
Effects of Adjacent Land Use Types on the Composition of Vascular Flora in Urban Forest Ecotones in the Southern Poland
Authors: Fornal-Pieniak Beata , Żarska Barbara , Ollik Marcin
Published: October 2021

The purpose of the research was the recognition of edge effects regarding similarities and differences of vascular flora in undergrowth layers in the urban forest ecotones. Four types of urban forest neighborhoods were analyzed: ecotones adjacent to the manor park, the agriculture field, housing estates and the road. The plant compositions in the forest ecotones were compared with the plant compositions in the urban forest interior and the forest nature reserve. The phytosociological type of studied forests was a subcontinental oak-hornbeam one (Tilio-Carpinetum). Diagnostic plant species (e.g., characteristic) for forests from the non-diagnostic ones were identified. Forest consistent plant species dominated in the ecotone adjacent to the manor park and in the interior of urban forests too, but the best conditions for these plants were inside the forest nature reserve, where native consistent forest plants showed the highest dominance when comparing all studied areas. A higher anthropogenic pressure from the adjacent areas results in supporting the growth of inconsistent plant species in the forests, and these plants are mostly represented by plants belonging to grass and synanthropic communities. Another conclusion drawn from our research is that the protected forest, represented by a nature reserve in the city, provides better “shelter” for native forest plants than the urban forest without any protection. Ultimately, a permanent challenge is to achieve and maintain the balance between nature and the impact of anthropogenic activities on urban forests in the city. The high quality of green areas, biodiversity, including forests, implicates possibilities of sustainable development in cities. The research results will be useful for local urban planners and ecologists during their work on strategies of city development, including shaping of green infrastructure.
Concatenated Residual Attention UNet for Semantic Segmentation of Urban Green Space
Authors: Men Guoqiang , He Guojin , Wang Guizhou
Published: October 2021

Urban green space is generally considered a significant component of the urban ecological environment system, which serves to improve the quality of the urban environment and provides various guarantees for the sustainable development of the city. Remote sensing provides an effective method for real-time mapping and monitoring of urban green space changes in a large area. However, with the continuous improvement of the spatial resolution of remote sensing images, traditional classification methods cannot accurately obtain the spectral and spatial information of urban green spaces. Due to complex urban background and numerous shadows, there are mixed classifications for the extraction of cultivated land, grassland and other ground features, implying that limitations exist in traditional methods. At present, deep learning methods have shown great potential to tackle this challenge. In this research, we proposed a novel model called Concatenated Residual Attention UNet (CRAUNet), which combines the residual structure and channel attention mechanism, and applied it to the data source composed of GaoFen-1 remote sensing images in the Shenzhen City. Firstly, the improved residual structure is used to make it retain more feature information of the original image during the feature extraction process, then the Convolutional Block Channel Attention (CBCA) module is applied to enhance the extraction of deep convolution features by strengthening the effective green space features and suppressing invalid features through the interdependence of modeling channels.-Finally, the high-resolution feature map is restored through upsampling operation by the decoder. The experimental results show that compared with other methods, CRAUNet achieves the best performance. Especially, our method is less susceptible to the noise and preserves more complete segmented edge details. The pixel accuracy (PA) and mean intersection over union (MIoU) of our approach have reached 97.34% and 94.77%, which shows great applicability in regional large-scale mapping.
A Quantitative Proteomics Approach to Gain Insight into NRF2-KEAP1 Skeletal Muscle System and Its Cysteine Redox Regulation
Authors: Abu Rafay , Yu Li , Kumar Ashok , Gao Lie , Kumar Vikas
Published: October 2021

Mammalian skeletal muscle (SkM) tissue engages the Nrf2-Keap1-dependent antioxidant defense mechanism to respond adaptively to stress. Redox homeostasis mediated by the reversible modification of selective cysteines is the prevalent mode of regulation. The protein targets of SkM redox regulation are largely unknown. We previously reported the proteomic profiles of soleus (Sol) and extensor digitorum longus (EDL) with Nrf2 or Keap1 gene deletion, using SkM-specific Nrf2 or Keap1 knockout models; iMS-Nrf2flox/flox; and iMS-Keap1flox/flox. Here, we employed these two animal models to understand the global expression profile of red tibialis anterior (RTA) using a label free approach and its redox proteomics using iodoacetyl tandem mass tag (iodoTMTTM)-labeled cysteine quantitation. We quantified 298 proteins that were significantly altered globally in the RTA with Nrf2 deficiency but only 21 proteins in the Keap1 KO samples. These proteins are involved in four intracellular signaling pathways: sirtuin signaling, Nrf2 mediated oxidative stress response, oxidative phosphorylation, and mitochondrion dysfunction. Moreover, we identified and quantified the cysteine redox peptides of 34 proteins, which are associated with mitochondrial oxidative phosphorylation, energy metabolism, and extracellular matrix. Our findings suggest that Nrf2-deficient RTA is implicated in metabolic myopathy, mitochondrial disorders, and motor dysfunction, possibly due to an enhanced oxidative modification of the structure and functional proteins in skeletal myocytes.
Genotyping Analysis by RAD-Seq Reads Is Useful to Assess the Genetic Identity and Relationships of Breeding Lines in Lavender Species Aimed at Managing Plant Variety Protection
Authors: Scariolo Francesco , Palumbo Fabio , Vannozzi Alessandro , Sacilotto Gio Batta , Gazzola Marco , Barcaccia Gianni
Published: October 2021

Lavender species are widely distributed in their wild forms around the Mediterranean Basin and they are also cultivated worldwide as improved and registered clonal varieties. The economic interest of the species belonging to the Lavandula genus is determined by their use as ornamental plants and important source of essential oils that are destinated to the production of cosmetics, pharmaceuticals and foodstuffs. Because of the increasing number of cases of illegal commercialization of selected varieties, the protection of plant breeders’ rights has become of main relevance for the recognition of breeding companies’ royalties. With this aim, genomic tools based on molecular markers have been demonstrated to be very reliable and transferable among laboratories, and also much more informative than morphological descriptors. With the rising of the next-generation sequencing (NGS) technologies, several genotyping-by-sequencing approaches are now available. This study deals with a deep characterization of 15 varietal clones, belonging to two distinct Lavandula species, by means of restriction-site associated DNA sequencing (RAD-Seq). We demonstrated that this technology screens single nucleotide variants that enable to assess the genetic identity of individual accessions, to reconstruct genetic relationships among related breeding lines, to group them into genetically distinguishable main subclusters, and to assign their molecular lineages to distinct ancestors. Moreover, a number of polymorphic sites were identified within genes putatively involved in biosynthetic pathways related to both tissue pigmentation and terpene production, useful for breeding and/or protecting newly registered varieties. Overall, the results highlighted the presence of pure ancestries and interspecific hybrids for the analyzed Lavandula species, and demonstrated that RAD-Seq analysis is very informative and highly reliable for characterizing Lavandula clones and managing plant variety protection.
The BrGI Circadian Clock Gene Is Involved in the Regulation of Glucosinolates in Chinese Cabbage
Authors: Kim Nan Sun , Kim Su Jeong , Jo Jung Su , Lee Jun Gu , Lee Soo In , Kim Dong Hwan , Kim Jin A.
Published: October 2021

Circadian clocks integrate environmental cues with endogenous signals to coordinate physiological outputs. Clock genes in plants are involved in many physiological and developmental processes, such as photosynthesis, stomata opening, stem elongation, light signaling, and floral induction. Many Brassicaceae family plants, including Chinese cabbage (Brassica rapa ssp. pekinensis), produce a unique glucosinolate (GSL) secondary metabolite, which enhances plant protection, facilitates the design of functional foods, and has potential medical applications (e.g., as antidiabetic and anticancer agents). The levels of GSLs change diurnally, suggesting a connection to the circadian clock system. We investigated whether circadian clock genes affect the biosynthesis of GSLs in Brassica rapa using RNAi-mediated suppressed transgenic Brassica rapa GIGENTEA homolog (BrGI knockdown; hereafter GK1) Chinese cabbage. GIGANTEA plays an important role in the plant circadian clock system and is related to various developmental and metabolic processes. Using a validated GK1 transgenic line, we performed RNA sequencing and high-performance liquid chromatography analyses. The transcript levels of many GSL pathway genes were significantly altered in GK1 transgenic plants. In addition, GSL contents were substantially reduced in GK1 transgenic plants. We report that the BrGI circadian clock gene is required for the biosynthesis of GSLs in Chinese cabbage plants.
Discovering of Genomic Variations Associated to Growth Traits by GWAS in Braunvieh Cattle
Authors: Zepeda-Batista José Luis , Núñez-Domínguez Rafael , Ramírez-Valverde Rodolfo , Jahuey-Martínez Francisco Joel , Herrera-Ojeda Jessica Beatriz , Parra-Bracamonte Gaspar Manuel
Published: October 2021

A genome-wide association study (GWAS) was performed to elucidate genetic architecture of growth traits in Braunvieh cattle. Methods: The study included 300 genotyped animals by the GeneSeek® Genomic Profiler Bovine LDv.4 panel; after quality control, 22,734 SNP and 276 animals were maintained in the analysis. The examined phenotypic data considered birth (BW), weaning (WW), and yearling weights. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. The marker rs133262280 located in BTA 22 was associated with BW, and two SNPs were associated with WW, rs43668789 (BTA 11) and rs136155567 (BTA 27). New QTL associated with these liveweight traits and four positional and functional candidate genes potentially involved in variations of the analyzed traits were identified. The most important genes in these genomic regions were MCM2 (minichromosome maintenance complex component 2), TPRA1 (transmembrane protein adipocyte associated 1), GALM (galactose mutarotase), and NRG1 (neuregulin 1), related to embryonic cleavage, bone and tissue growth, cell adhesion, and organic development. This study is the first to present a GWAS conducted in Braunvieh cattle in Mexico providing evidence for genetic architecture of assessed growth traits. Further specific analysis of found associated genes and regions will clarify its contribution to the genetic basis of growth-related traits.
Novel Methods for the Computation of Small-Strain Damping Ratios of Soils from Cyclic Torsional Shear and Free-Vibration Decay Testing
Authors: Xu Zhongze , Tao Yumeng , Hernandez Lizeth
Published: October 2021

This paper illustrates two novel methods for computing the small-strain hysteretic material damping ratio, λmin, of soils from the cyclic torsional shear (TS) and computing the small-strain viscous material damping ratio, Dmin, from the free-vibration decay (FVD) testing. Both λmin and Dmin are challenging to measure, due to the significant level of ambient noise at small strains (<10−4%). A two-step method is proposed combining the Fourier Transform and a phase-based data fitting method for torsional shear testing, and this method can effectively eliminate the ambient noise at small strains. A Hilbert Transform-based method is proposed for the free-vibration decay testing in order to achieve a more accurate measurement of the viscous material damping ratio, D, at different strain levels, especially at small strains. The improved λmin and Dmin at small strains are compared to data available in the literature. The two novel methods are shown to be accurate in computing the small-strain damping ratios.
SARS-CoV-2 Serology Testing in an Asymptomatic, At-Risk Population: Methods, Results, Pitfalls
Authors: Heyming Theodore , Bacon Kellie , Lara Bryan , Knudsen-Robbins Chloe , Tongol Aprille , Sanger Terence
Published: October 2021

The primary aim of this study was to determine the seroprevalence of SARS-CoV-2 antibodies in a population of pediatric healthcare workers (HCWs). This study was conducted 14 May–13 July 2020. Study participants included pediatric HCWs at a pediatric hospital with either direct patient contact or close proximity to patient-care areas. SARS-CoV-2 antibodies were assessed via the Wytcote Superbio SARS-CoV-2 IgM/IgG Antibody Fast Detection Kit and the Abbott Architect SARS-CoV-2 IgG assay. Participants underwent RT-PCR testing upon entry to the study and following rapid IgM+/IgG+ results; respiratory panel PCR (RP-PCR) was performed following IgM+ results. A total of 57 of 289 (19.7%) of participants demonstrated positive serology as assessed by the Wytcote rapid kit (12 on Day 1 and 45 throughout the study). However, only one of these participants demonstrated IgG+ serology via the Abbott assay. Two participants tested SARS-CoV-2+ via RT-PCR testing. One individual was adenovirus+ and enterovirus/rhinovirus+. In our study population, we observed a seroprevalence of SARS-CoV-2 antibodies of 0.35%. The lack of concordance between antibody tests suggests that the Wytcote rapid test kit may not be of use as a screening tool. However, the feasibility of the overall process indicates that a similar methodology may have potential for future epidemiologic surveillance.
Quality of Life (QoL) Is Reduced in Those with Severe COVID-19 Disease, Post-Acute Sequelae of COVID-19, and Hospitalization in United States Adults from Northern Colorado
Authors: McFann Kim , Baxter Bridget A. , LaVergne Stephanie M. , Stromberg Sophia , Berry Kailey , Tipton Madison , Haberman Jared , Ladd Jeremy , Webb Tracy L. , Dunn Julie A. , Ryan Elizabeth P.
Published: October 2021

The longitudinal quality of life (QoL) of COVID-19 survivors, especially those with post-acute sequelae (PASC) is not well described. We evaluated QoL in our COVID-19 survivor cohort over 6 months using the RAND SF-36 survey. From July 2020–March 2021 we enrolled 110 adults from the United States with a positive SARS-CoV-2 nasopharyngeal polymerase chain reaction (PCR) into the Northern Colorado Coronavirus Biobank (NoCo-COBIO). Demographic data and symptom surveillance were collected from 62 adults. In total, 42% were hospitalized, and 58% were non-hospitalized. The Rand SF-36 consists of 36 questions and 8 scales, and questions are scored 0–100. A lower-scale score indicates a lower QoL. In conclusion, hospitalization, PASC, and disease severity were associated with significantly lower scores on the RAND SF-36 in Physical Functioning, Role Limitation due to Physical Health, Energy/Fatigue, Social Functioning, and General Health. Long-term monitoring of COVID-19 survivors is needed to fully understand the impact of the disease on QoL and could have implications for interventions to alleviate suffering during recovery.
Identification of COVID-19 Waves: Considerations for Research and Policy
Authors: Ayala Andrés , Villalobos Dintrans Pablo , Elorrieta Felipe , Castillo Claudio , Vargas Claudio , Maddaleno Matilde
Published: October 2021

The identification of COVID-19 waves is a matter of the utmost importance, both for research and decision making. This study uses COVID-19 information from the 52 municipalities of the Metropolitan Region, Chile, and presents a quantitative method—based on weekly accumulated incidence rates—to define COVID-19 waves. We explore three different criteria to define the duration of a wave, and performed a sensitivity analysis using multivariate linear models to show their commonalities and differences. The results show that, compared to a benchmark definition (a 100-day wave), the estimations using longer periods of study are worse in terms of the model’s overall fit (adjusted R2). The article shows that defining a COVID-19 wave is not necessarily simple, and has consequences when performing data analysis. The results highlight the need to adopt well-defined and well-justified definitions for COVID-19 waves, since these methodological choices can have an impact in research and policy making.
Latent Class Analysis of Obesogenic Behaviors among Korean Adolescents: Associations with Weight-Related Outcomes
Authors: Lee Haein , La In-Seo
Published: October 2021

This study aimed to explore sex-specific latent class models of adolescent obesogenic behaviors (OBs), predictors of latent class membership (LCM), and associations between LCM and weight-related outcomes (i.e., weight status and unhealthy weight control behaviors). We analyzed nationally representative data from the 2019 Korea Youth Risk Behavior Survey. To identify latent classes for boys (n = 29,841) and girls (n = 27,462), we conducted a multiple-group latent class analysis using eight OBs (e.g., breakfast skipping, physical activity, and tobacco product use). Moreover, we performed a multinomial logistic regression analysis and a three-step method to examine associations of LCM with predictors and weight-related outcomes. Among both sexes, the 3-class models best fit the data: (a) mostly healthy behavior class, (b) poor dietary habits and high Internet use class, and (c) poor dietary habits and substance use class. School year, residential area, academic performance, and psychological status predicted the LCM for both sexes. In addition, perceived economic status predicted the LCM for girls. The distribution of weight-related outcomes differed across sex-specific classes. Our findings highlight the importance of developing obesity prevention and treatment interventions tailored to each homogeneous pattern of adolescent OBs, considering differences in their associations with predictors and weight-related outcomes.
Association between Findings in Oral Health Screening and Body Mass Index: A Nation-Wide Longitudinal Study
Authors: Chang Yoonkyung , Jeon Jimin , Kim Jin-Woo , Song Tae-Jin , Kim Jinkwon
Published: October 2021

Oral diseases, such as periodontitis and dental caries, can cause systemic inflammation as well as local effects, which is an important contributing factor for obesity. We aimed to investigate the change in body mass index (BMI) according to the presence of periodontitis and oral hygiene indicators. This study enrolled 110,068 participants from the national health screening cohort in Korea from 2009–2010 who underwent an oral health checkup. As oral hygiene indicators, the presence of periodontitis, dental caries, tooth loss, and tooth brushing were assessed. We constructed a linear mixed model for BMI. BMI was repeatedly measured in the health examination until 2015. In the multivariate linear mixed model for BMI, the presence of periodontitis (β = 0.0687, standard error (SE) = 0.0225, p = 0.002), dental caries (β = 0.0735, SE = 0.0152, p < 0.001), and tooth loss (β = 0.1328, SE = 0.0175, p < 0.001) were positively associated with BMI. In contrast, frequent tooth brushing (≥3 times/day) was negatively associated with BMI (β = −0.2610, SE = 0.0306, p < 0.001). The presence of periodontitis, dental caries, and tooth loss may be associated with higher BMI, whereas frequent tooth brushing may be related to lower BMI. Better oral hygiene might be associated with lower BMI. Further study is needed to determine the effect of oral health behavior and dental disease on obesity.
Health Impact and Risk Factors Affecting South and Southeast Asian Women Following Natural Disasters: A Systematic Review
Authors: Fatema Syadani Riyad , East Leah , Islam Md Shahidul , Usher Kim
Published: October 2021

(1) Background: Following natural disasters, women have a higher prevalence of adverse physical and mental health outcomes. Given that the South and Southeast Asia regions are highly disaster prone, a review was undertaken to identify the potential health impact and key risk factors affecting women after disasters in the countries located in South and Southeast Asia regions. (2) Methods: A systematic literature search of four databases yielded 16 studies meeting the inclusion criteria. The review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidance, between July 2008 and March 2021. (3) Results: The majority of studies reported women’s negative/poor mental health, identifying a significant association of socio-demographics, during disaster exposure, post-disaster, and pre-existing risk factors. The six most-cited influences on women’s mental health found in the reviewed literature were being female, adult age group, having no formal education, poverty or low economic status, poor physical health/physical injuries, and death of family members. Women’s health during the post-disaster period was generally reported as poor among all the countries of the South and Southeast Asia regions. (4) Conclusions: Appropriate social support and the availability of free healthcare access for women are warranted in disaster-affected areas. This review offers a valuable contribution to the knowledge of women’s health complications/challenges and associated risk factors related to disasters, essential for the development of strategies to help reduce this burden in the future. Further research is required on natural disasters to identify ways to reduce women’s health impacts after natural disasters, especially in the context of low-income and lower-middle-income countries.
Increased COVID-19 Testing Rates Following Combined Door-to-Door and Mobile Testing Facility Campaigns in Oslo, Norway, a Difference-in-Difference Analysis
Authors: Vinjerui Kristin Hestmann , Elgersma Ingeborg Hess , Fretheim Atle
Published: October 2021

High testing rates limit COVID-19 transmission. Attempting to increase testing rates, Stovner District in Oslo, Norway, combined door-to-door campaigns with easy access testing facilities. We studied the intervention’s impact on COVID-19 testing rates. The Stovner District administration executed three door-to-door campaigns promoting COVID-19 testing accompanied by drop-in mobile COVID-19 testing facilities in different areas at 2-week intervals. We calculated testing rates pre- and post-campaigns using data from the Norwegian emergency preparedness register for COVID-19 (Beredt C19). We applied a difference-in-difference approach using ordinary least square regression models and robust standard errors to estimate changes in COVID-19 testing rates. Door-to-door visits reached around one of three households. Intervention and comparison areas had identical testing rates before the intervention, and we observed an increase in intervention areas after the campaigns. We estimate a 43% increase in testing rates over the first three days following the door-to-door campaigns (p = 0.28), corresponding to an additional 79 (95% confidence interval, −54 to 175) people tested. Considering the shape of the time series curves and the large effect estimate, we find it highly likely that the campaigns had a substantial positive impact on COVID-19 testing rates, despite a p-value above the conventional levels for statistical significance. The results and the feasibility of the intervention suggest that it may be worth implementing in similar settings.
Assessing Social Determinants of Health in a Prenatal and Perinatal Cultural Intervention for American Indians and Alaska Natives
Authors: James Rosalina , Hesketh Martell A. , Benally Tia R. , Johnson Selisha S. , Tanner Leah R. , Means Shelley V.
Published: October 2021

American Indians and Alaska Natives (AIANs) refer to cultural traditions and values to guide resilient and strength-based practices to address maternal and infant health disparities. Methods: A case study of a culturally-based educational intervention on AIAN maternal and child health. Results: Cultural teachings have successfully been applied in AIAN behavioral interventions using talking circles and cradleboards, but maternal and child health interventions are not well-represented in peer-reviewed literature. Zero publications included interventions centered around cradleboards and safe sleep. Discussion: There is a need for rigorous published research on culturally based interventions and effectiveness on health outcomes for mothers and babies. Conclusions: This paper discusses how a cradleboard educational intervention incorporates national guidelines to address maternal and infant health while mediating social determinants of health.
Ventilation and Pollutant Concentration for the Pedestrian Zone, the Near-Wall Zone, and the Canopy Layer at Urban Intersections
Authors: Zhang Mingjie , Gao Zhi , Guo Xin , Shen Jialei
Published: October 2021

To gain further insight into the ventilation at urban street intersections, this study conducted 3D simulations of the ventilation at right- and oblique-angled intersections under eight wind directions by using the Reynolds-averaged Navier–Stokes (RANS) κ-ε turbulence model. The divergent responses of ventilation and pollution concentration for the pedestrian zone (ped), the near-wall zone (nwz), and the canopy layer to the change in intersection typology and wind direction were investigated. The flow characteristics of the intersections, taken as the air flow hub, were explored by employing indices such as the minimum flow ratio (β) between horizontal openings. The results show that oblique wind directions lead to a lower total volumetric flow rate (Qtotal) but a higher β value for right-angled intersections. For T-shaped intersections, a larger cross-sectional area for the outflow helps to increase Qtotal. Oblique-angled intersections, for example, the X-shaped intersection, experience a more significant difference in Qtotal but a steady value of β when the wind direction changes. The vertical air-exchange rate for the intersection was particularly significant when the wind directions were parallel to the street orientation or when there was no opening in the inflow direction. The spatially averaged normalized pollutant concentration and age of air (τ*¯) for the pedestrian zone and the canopy layer showed similar changing trends for most of the cases, while in some cases, only the τped*¯ or τnwz*¯ changed obviously. These findings reveal the impact mechanism of intersection configuration on urban local ventilation and pollutant diffusion.
A Systematic Literature Review of Quality Management Initiatives in Dental Clinics
Authors: Crisan Emil Lucian , Covaliu Bogdan Florin , Chis Diana Maria
Published: October 2021

By considering the recently proposed definitions and metrics, oral healthcare quality management (OHQM) emerges as a distinct field in the wider healthcare area. The goal of this paper is to systematically review quality management initiatives (QMIs) implementation by dental clinics. The research methodology approach is a review of 72 sources that have been analyzed using the Context–Intervention–Mechanism–Outcome Framework (CIMO). The analysis identifies five mechanisms that explain how quality management initiatives are implemented by dental clinics. The simplest QMIs implementations are related to (1) overall quality. The next ones, in terms of complexity, are related to (2) patient satisfaction, (3) service quality, (4) internal processes improvement, and (5) business outcomes. This paper is the first attempt to provide a critical review of this topic and represents an important advancement by providing a theoretical framework that explains how quality management is implemented by practitioners in this field. The results can be used by scholars for advancing their studies related to this emerging research area and by healthcare managers in order to better implement their quality management initiatives.
Prevalence of Suicidal Behavior and Associated Clinical Correlates in Patients with Behavioral Addictions
Authors: Valenciano-Mendoza Eduardo , Fernández-Aranda Fernando , Granero Roser , Gómez-Peña Mónica , Moragas Laura , Mora-Maltas Bernat , Håkansson Anders , Menchón José M. , Jiménez-Murcia Susana
Published: October 2021

Addictive disorders are characterized by severe consequences, including suicidal events, but most studies investigating the association between addiction and suicidal risk have focused on substance use disorders and gambling disorder at the expense of the rest of behavioral addictions. This study examined the prevalence and the associated clinical correlates of suicidal ideation and suicide attempts in a sample of patients with a diagnosis of behavioral addiction. The total sample consisted of 4404 individuals: 4103 of these patients with gambling disorder, 99 with gaming disorder, 44 with sex addiction, and 158 with buying–shopping disorder. All of them were assessed consecutively at a specialized hospital unit for the treatment of behavioral addictions. Participants attended two clinical interviews and completed self-reported questionnaires to explore clinical features of behavioral addictions, personality traits, psychopathological symptomatology, suicidal behavior, and sociodemographic variables. The highest prevalence of suicidal ideation was found in patients with gambling disorder (22.9%), followed by buying–shopping disorder (18.4%), sex addiction (18.2%), and gaming disorder (6.1%). The highest prevalence of suicide attempts was registered for sex addiction (9.1%), followed by buying–shopping disorder (7.6%), gambling disorder (6.7%), and gaming disorder (3.0%). Female gender and unemployment constituted two relevant sociodemographic factors associated with suicidal risk in gambling disorder, gaming disorder, and buying–shopping disorder. Lack of family support appeared as a relevant risk factor, except for gaming disorder. These results pointed out that suicide is a prevalent behavior in behavioral addictions, and clinicians and researchers need to pay particular attention to the specificities of each behavioral addiction when assessing suicidal risk.