bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative determination of environmental factors governing the snow melting: a geodetector case study in the central Tienshan Mountains
Authors: Li Haixing , Liu Jinrong , Lei Xuelei , Ju Yumeng , Bu Xiangxu , Li Hongxing 
Published: July 2022

AbstractBecause of the distinctive vertical climate and topography gradients in the alpine region, the snow cover of the Tienshan Mountains possesses complex spatiotemporal heterogeneity, particularly during the melting process. Quantifying the environmental factors is therefore crucial to understanding the melting process and for predicting and managing snowmelt runoff. Herein, the snow cover area, grain size, and contamination extent were determined to characterize the detailed melting status based on surface reflectance data of MOD09A1 in the central Tienshan Mountains from 2013 to 2017. The environmental factors collected include relief (elevation, slope, and aspect); meteorology (surface air temperature, land surface temperature, solar radiation, and wind speed); and land surface vegetation. Analysis of the geodetector results indicated the following. (1) Patterns of changes in the overall dominant environmental variables were consistent for the pre-, mid-, and post-melting periods defined according to the decline of snow cover area over five years. (2) The overall major environmental factors were wind speed and radiation (pre-period), land surface temperature and elevation (mid-period), and elevation and land surface types (post-period), respectively. (3) Regional distinctions were detected of the dominant environmental factors. In the pre-melting period, the effects of solar radiation and wind speed were noticeable in the north and south regions, respectively. The effects of elevation, land surface temperature, and land cover types became more prominent in all regions during the mid- and post-melting periods. (4) Interaction between the major environmental factors was significantly enhanced on both the overall and regional scales, thus affecting the snow-melting process. Finally, the energy distribution mismatch resulted in the snowmelt. Multiple environmental factors substantially affect heat redistribution at different spatiotemporal scales, resulting in the snowmelt as a complex manifestation of the factors and their interactions. The findings highlight regional differences in various environmental factors of the melting process and offer a theoretical foundation for the melting process at various scales over multiple years.
Rayleigh–Taylor instability in strongly coupled plasma
Authors: Wani Rauoof , Mir Ajaz , Batool Farida , Tiwari Sanat 
Published: July 2022

AbstractRayleigh–Taylor instability (RTI) is the prominent energy mixing mechanism when heavy fluid lies on top of light fluid under the gravity. In this work, the RTI is studied in strongly coupled plasmas using two-dimensional molecular dynamics simulations. The motivation is to understand the evolution of the instability with the increasing correlation (Coulomb coupling) that happens when the average Coulombic potential energy becomes comparable to the average thermal energy. We report the suppression of the RTI due to a decrease in growth rate with increasing coupling strength. The caging effect is expected a physical mechanism for the growth suppression observed in both the exponential and the quadratic growth regimes. We also report that the increase in shielding due to background charges increases the growth rate of the instability. Moreover, the increase in the Atwood number, an entity to quantify the density gradient, shows the enhancement of the growth of the instability. The dispersion relation obtained from the molecular dynamics simulation of strongly coupled plasma shows a slight growth enhancement compared to the hydrodynamic viscous fluid. The RTI and its eventual impact on turbulent mixing can be significant in energy dumping mechanisms in inertial confinement fusion where, during the compressed phases, the coupling strength approaches unity.
Developmental changes in gaze patterns in response to radial optic flow in toddlerhood and childhood
Authors: Shirai Nobu , Imura Tomoko 
Published: July 2022

AbstractA large field visual motion pattern (optic flow) with a radial pattern provides a compelling perception of self-motion; a radially expanding/contracting optic flow generates the perception of forward/backward locomotion. Moreover, the focus of a radial optic flow, particularly an expansive flow, is an important visual cue to perceive and control the heading direction during human locomotion. Previous research has shown that human gaze patterns have an “expansion bias”: a tendency to be more attracted to the focus of expansive flow than to the focus of contractive flow. We investigated the development of the expansion bias in children (N = 240, 1–12 years) and adults (N = 20). Most children aged ≥ 5 years and adults showed a significant tendency to shift their gaze to the focus of an expansive flow, whereas the youngest group (1-year-old children) showed a significant but opposing tendency; their gaze was more attracted to the focus of contractive flow than to the focus of expansive flow. The relationship between the developmental change from the “contraction bias” in early toddlerhood to the expansion bias in the later developmental stages and possible factors (e.g., global visual motion processing abilities and locomotor experiences) are discussed.
A continuous time meta-analysis of the relationship between conspiracy beliefs and individual preventive behavior during the COVID-19 pandemic
Authors: Stasielowicz Lukasz 
Published: July 2022

AbstractIn several longitudinal studies, reduced willingness to show COVID-19-related preventive behavior (e.g., wearing masks, social distancing) has been partially attributed to misinformation and conspiracy beliefs. However, there is considerable uncertainty with respect to the strength of the relationship and whether the negative relationship exists in both directions (reciprocal effects). One explanation of the heterogeneity pertains to the fact that the time interval between consecutive measurement occasions varies (e.g., 1 month, 3 months) both between and within studies. Therefore, a continuous time meta-analysis based on longitudinal studies was conducted. This approach enables one to examine how the strength of the relationship between conspiracy beliefs and COVID-19 preventive behavior depends on the time interval. In total, 1035 correlations were coded for 17 samples (N = 16,350). The results for both the full set of studies and a subset consisting of 13 studies corroborated the existence of reciprocal effects. Furthermore, there was some evidence of publication bias. The largest cross-lagged effects were observed between 3 and 6 months, which can inform decision-makers and researchers when carrying out interventions or designing studies examining the consequences of new conspiracy theories.
Adaptive response of Dongzhaigang mangrove in China to future sea level rise
Authors: Cai Rongshuo , Ding Ruyi , Yan Xiuhua , Li Cuihua , Sun Jiang , Tan Hongjian , Men Wu , Guo Haixia , Wang Cui 
Published: July 2022

AbstractMangrove forests are valuable intertidal ecosystems that provide coastline protection, biodiversity maintenance, and carbon sequestration. However, their survival is under severe threat from rapidly rising sea levels. In this study, we aimed to investigate the changes in the area of the Dongzhaigang mangrove in China since the 1950s and causes of these changes using literature and remote sensing data. The impact of historical and future sea level rise (SLR) on the mangroves was analyzed using remote sensing data and climate model data under the low, intermediate, and very high greenhouse gas emission scenarios (Representative Concentration Pathways (RCPs) 2.6, 4.5, and 8.5). The area of the mangrove forests decreased from 3416 to 1711 hm2 during 1956–1988 and remained constant at 1711 hm2 after the 1990s, owing to anthropogenic disturbances such as reclamation and aquaculture before the 1980s and the protection of nature reserve establishment after the 1990s, respectively. Under RCPs 4.5 and 8.5, SLR is expected to cause > 26% of the mangroves to disappear by 2100, whereas under RCP 2.6, only 17% of the mangroves will likely be lost. Biological measures such as reestablishment of ponds as mangrove forests, afforestation, and biological embankment for sediment trapping in coastal wetlands are recommended to enhance the resilience of mangroves to SLR.
Peptidome profiling for the immunological stratification in sepsis: a proof of concept study
Authors: Ledesma Martín , Todero María Florencia , Maceira Lautaro , Prieto Mónica , Vay Carlos , Galas Marcelo , López Beatriz , Yokobori Noemí , Rearte Bárbara 
Published: July 2022

AbstractSepsis has been called the graveyard of pharmaceutical companies due to the numerous failed clinical trials. The lack of tools to monitor the immunological status in sepsis constrains the development of therapies. Here, we evaluated a test based on whole plasma peptidome acquired by MALDI-TOF-mass spectrometer and machine-learning algorithms to discriminate two lipopolysaccharide-(LPS) induced murine models emulating the pro- and anti-inflammatory/immunosuppression environments that can be found during sepsis. The LPS group was inoculated with a single high dose of LPS and the IS group was subjected to increasing doses of LPS, to induce proinflammatory and anti-inflammatory/immunosuppression profiles respectively. The LPS group showed leukopenia and higher levels of cytokines and tissue damage markers, and the IS group showed neutrophilia, lymphopenia and decreased humoral response. Principal component analysis of the plasma peptidomes formed discrete clusters that mostly coincided with the experimental groups. In addition, machine-learning algorithms discriminated the different experimental groups with a sensitivity of 95.7% and specificity of 90.9%. Data reveal the potential of plasma fingerprints analysis by MALDI-TOF-mass spectrometry as a simple, speedy and readily transferrable method for sepsis patient stratification that would contribute to therapeutic decision-making based on their immunological status.
Crystallographic control of the fabrication of an extremely sophisticated shell surface microornament in the glass scallop Catillopecten
Authors: Checa Antonio G. , Salas Carmen , Varela-Feria Francisco M. , Rodríguez-Navarro Alejandro B. , Grenier Christian , Kamenev Gennady M. , Harper Elizabeth M. 
Published: July 2022

AbstractThe external surface microornament of the glass scallops Catillopecten natalyae and malyutinae is made by calcitic spiny projections consisting of a stem that later divides into three equally spaced and inclined branches (here called aerials). C. natalyae contains larger and smaller aerials, whereas C. malyutinae only secreted aerials of the second type. A remarkable feature is that aerials within each type are fairly similar in size and shape and highly co-oriented, thus constituting a most sophisticated microornament. We demonstrate that aerials are single crystals whose morphology is strongly controlled by the crystallography, with the stem being parallel to the c-axis of calcite, and the branches extending along the edges of the {104} calcite rhombohedron. They grow epitaxially onto the foliated prisms of the outer shell layer. The co-orientation of the prisms explains that of the aerials. We have developed a model in which every aerial grows within a periostracal pouch. When this pouch reaches the growth margin, the mantle initiates the production of the aerial. Nevertheless, later growth of the aerial is remote, i.e. far from the contact with the mantle. We show how such an extremely sophisticated microornament has a morphology and co-orientation which are determined by crystal growth.
Biowaste derived hydroxyapatite embedded on two-dimensional g-C3N4 nanosheets for degradation of hazardous dye and pharmacological drug via Z-scheme charge transfer
Authors: Govindasamy Palanisamy , Kandasamy Bhuvaneswari , Thangavelu Pazhanivel , Barathi Selvaraj , Thandavarayan Maiyalagan , Shkir Mohd. , Lee Jintae 
Published: July 2022

AbstractIn recent years, there has been an increase in demand for inexpensive biowaste-derived photocatalysts for the degradation of hazardous dyes and pharmacological drugs. Here, we developed eggshell derived hydroxyapatite nanoparticles entrenched on two-dimensional g-C3N4 nanosheets. The structural, morphological and photophysical behavior of the materials is confirmed through various analytical techniques. The photocatalytic performance of the highly efficient HAp/gC3N4 photocatalyst is evaluated against methylene blue (MB) and doxycycline drug contaminates under UV–visible light exposure. The HAp/gC3N4 photocatalyst exhibit excellent photocatalytic performance for MB dye (93.69%) and doxycycline drug (83.08%) compared to bare HAp and g-C3N4 nanosheets. The ultimate point to note is that the HAp/gC3N4 photocatalyst was recycled in four consecutive cycles without any degradation performance. Superoxide radicals play an important role in degradation performance, which has been confirmed by scavenger experiments. Therefore, the biowaste-derived HAp combined with gC3N4 nanosheets is a promising photocatalyst for the degradation of hazardous dyes and pharmacological drug wastes.
Retrospective cross-sectional study of asthma severity in adult patients at the Jimma Medical Center, Ethiopia
Authors: Tilahun Desalew , Michael Mesay , Gashaye Mihret , Melkamu Eneyew , Mekoya Tsiyon 
Published: July 2022

AbstractAsthma is one of the most prevalent chronic diseases and is a public health problem worldwide. It is a long-standing condition affecting the respiratory system. Thus this study aimed to assess the severity of asthma in patients at the adult emergency department of Jimma Medical Center (JMC), Southwest Ethiopia. A one year (1 May, 2020, to 1 May, 2021) retrospective cross-sectional study was conducted among 189 patients at the adult emergency department of JMC. Data were collected between 25 July, 2021 to 25 August, 2021 by two Bachelor of Science degree holders in nursing (BSC) nurses after providing proper training. We used structured checklist that was obtained from previous studies to collect the data. Finally, data were entered into EpiData version 3.1 then exported to Stata version 15.0 for further analysis. Multinomial analysis was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association between risk factors and severity of asthma. Of 195 patients retrieved from the Health management information system (HMIS) logbook and patient profile, 189 fulfilled the eligibility criteria giving a response rate of 96.9%. The mean age of patients was 47.69 (± 19.02) years old ranging from 20 to 85. More than one third of the patients were age range of 20–39 years. Only more than half of the patients were women. Almost 46% of the patients had moderate asthma. Being male, merchant and government employees had lower odds of asthma than their counterparts whereas being daily laborers and smoking contributed to increased odds of moderate asthma. Patients’ age and comorbidities had increased odds of severe asthma in relation to the participants of their reference category. Urban residents had decreased odds of severe asthma compared to their rural counterparts. This study highlights that majority of patients had moderate asthma. Health care providers should pay special attention to accurately diagnosing asthma according to its severity which is essential to the optimal management of asthma. This study calls JMC health care providers to give due attention while providing routine care for their patients in accordance to identified factors.
Research on water seepage detection technology of tunnel asphalt pavement based on deep learning and digital image processing
Authors: Li Jiaqi , He Zhaoyi , Li Dongxue , Zheng Aichen 
Published: July 2022

AbstractTo improve the safety of road tunnel pavement, the research established road tunnel pavement water seepage recognition models based on deep learning technology, and a water seepage area extraction model based on image processing technology to finally achieve accurate detection of water seepage on tunnel pavements. First, the deep learning models EfficientNet water seepage recognition model and MobileNet water seepage recognition model were built, the models were trained with the self-collected pavement seepage data set, and the F1 score was introduced to evaluate the accuracy and comprehensive performance of the two models in predicting different categories of water seepage characteristics. Then three grayscale processing methods, the cvtColor function, mean method and maximum method, six global threshold segmentation methods, Otsu thresholding method, THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO and THRESH_TOZERO_INV, three filtering methods, namely Gaussian filtering, median filtering and morphological open operation, as well as small connected domain removal, were used to reduce the noise of the images. Finally, the seepage area image calculation method was proposed based on the processed images to predict the actual pavement seepage area. The results show that the recognition accuracy of the EfficientNet water seepage recognition model is 99.85% and 97.53% in the training and validation sets respectively, which is 2.85% and 0.76% higher than the 97% and 96.77% of the MobileNet model. The average F1 score of the EfficientNet model is 95.22%, which is 5.05% higher than that of the MobileNet model, for the four types of seepage feature images: point seepage, line seepage, surface seepage and no seepage. The cvtColor function for grayscale processing, THRESH_BINARY for threshold segmentation and a combination of median filtering and morphological open operation for image noise reduction can effectively extract the seepage features. The area calculation is performed by the seepage area image calculation method, and the average error between the predicted value and the actual seepage area is 8.30%, which can better achieve the accurate extraction of the seepage area.
Incorporating heterogeneous lacunary Keggin anions as efficient catalysts for solvent-free cyanosilylation of aldehydes and ketones
Authors: Malmir Masoume , Heravi Majid M. , Yekke-Ghasemi Zahra , Mirzaei Masoud 
Published: July 2022

AbstractPolyoxometalates (POMs) as efficient catalysts can be used a wide range of chemical transformations due to their tunable Brønsted/Lewis-acidity and redox properties. Herein, we reported two hybrid and heterogeneous lacunary Keggin catalysts: (TBA)7[PW11O39] (TBA-PW11) and (TBA)8[SiW11O39]·4H2O (TBA-SiW11) (TBA+: tetrabutylammonium) in which [XW11O39]n− anions were coated by TBA+ cations. In this form, TBA+ can easily trap reactants on the surface of the catalysts and increase the catalytic reaction. Therefore, the catalytic performance of both POMs was tested in cyanosilylation of numerous compounds bearing-carbonyl group and trimethylsilyl cyanide under solvent-free conditions. TBA-PW11 is more effective than TBA-SiW11, conceivably due to the higher Lewis acidity of the P than the Si center and to the higher accessibility of the metal centers in the framework structure. Noteworthy, the recyclability and heterogeneity of both POMs catalysts were also examined, and the results confirmed that they remain active at least after three recycling procedures.
Cognitive map formation through tactile map navigation in visually impaired and sighted persons
Authors: Ottink Loes , van Raalte Bram , Doeller Christian F. , Van der Geest Thea M. , Van Wezel Richard J. A. 
Published: July 2022

AbstractThe human brain can form cognitive maps of a spatial environment, which can support wayfinding. In this study, we investigated cognitive map formation of an environment presented in the tactile modality, in visually impaired and sighted persons. In addition, we assessed the acquisition of route and survey knowledge. Ten persons with a visual impairment (PVIs) and ten sighted control participants learned a tactile map of a city-like environment. The map included five marked locations associated with different items. Participants subsequently estimated distances between item pairs, performed a direction pointing task, reproduced routes between items and recalled item locations. In addition, we conducted questionnaires to assess general navigational abilities and the use of route or survey strategies. Overall, participants in both groups performed well on the spatial tasks. Our results did not show differences in performance between PVIs and sighted persons, indicating that both groups formed an equally accurate cognitive map. Furthermore, we found that the groups generally used similar navigational strategies, which correlated with performance on some of the tasks, and acquired similar and accurate route and survey knowledge. We therefore suggest that PVIs are able to employ a route as well as survey strategy if they have the opportunity to access route-like as well as map-like information such as on a tactile map.
Bismuth fire assay preconcentration and empirical coefficient LA-ICP-MS for the determination of ultra-trace Pt and Pd in geochemical samples
Authors: Ni Wenshan , Mao Xiangju , Yao Mingxing , Guo Xiaorui , Sun Qiliang , Gao Xiaofei , Zhang Hongli 
Published: July 2022

AbstractIn this work, a novel method of solid sample pretreatment technique of bismuth fire assay (Bi-FA) combined with solid sample determination by laser ablation ICP-MS (LA-ICP-MS) was reported for the determination of ultra-trace Pt and Pd in geochemical samples. Bismuth oxide (Bi2O3) was used as fire assay collector to directly enrich Pt and Pd from solid samples, and Ag protection cupellation was employed to generate Ag granules. After cleaning, weighing and annealing, the Ag granules were compressed into thin slices and determined by LA-ICP-MS for 195Pt, 105Pd and 109Ag (109Ag was selected as the internal standard isotope). Bi2O3 provided exceptionally low blanks compared to nickel oxide and lead oxide commonly employed in fire assay procedures, and could be applied directly without purification. Different from traditional empirical coefficient method, the Chinese Certified Reference Materials (CRMs) for Pt and Pd were treated by the same procedure to obtain completely matrix matched Ag slices. And then modified empirical coefficient method and internal standard calibration strategy was used to reduce the instability of LA-ICP-MS, and random multipoint laser ablation was employed to further reduce analytical variation resulting from heterogeneity of Pt and Pd in the Ag slice. Under optimal conditions, excellent calibration curves for Pt and Pd were obtained (0.407–2958 μg g−1 and 0.407–2636 μg g−1, respectively), with correlation coefficients exceeding 0.9996. The method detection limits for Pt and Pd were 0.074 and 0.037 ng g−1, respectively. The established method was applied successfully to analysis of real geochemical samples, with determined values in good agreement with the results of traditional Pb-FA graphite furnace atomic absorption spectrometry (GF-AAS), and spiked recoveries between 87.8 and 125.0%.