bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Varying Fermentation Parameters of the Yeast Strain Cyberlindnera saturnus on the Concentrations of Selected Flavor Components in Non-Alcoholic Beer Focusing on (E)-β-Damascenone
Authors: Methner Yvonne , Dancker Philipp , Maier Robin , Latorre Mailen , Hutzler Mathias , Zarnkow Martin , Steinhaus Martin , Libkind Diego , Frank Stephanie , Jacob Fritz
Published: April 2022

The diversification of beer flavor is becoming increasingly popular, especially in the field of non-alcoholic beers, where sales are growing steadily. While flavor substances of traditional beers can largely be traced back to defined secondary metabolites, the production of non-alcoholic beers with non-Saccharomyces yeasts generates novel fruity flavors, some of which cannot yet be assigned to specific flavor substances. In a recently published study, besides pear, cool mint sweets, and banana-like flavor, distinctive red berry and apple flavors were perceived in a non-alcoholic beer fermented with the yeast strain Cyberlindnera saturnus TUM 247, whose secondary metabolites were to be elucidated in this study. The trials were carried out using response surface methodology to examine the fermentation properties of the yeast strain and to optimize the beer with maximum fruitiness but minimal off-flavors and ethanol content. It turned out that a low pitching rate, a moderate fermentation temperature, and an original gravity of 10.5 °P gave the optimal parameters. Qualitative analysis of the secondary metabolites, in addition to standard analysis for traditional beers, was first performed using headspace-gas chromatography with olfactometry. (E)-β-damascenone emerged as the decisive substance for the red berry and apple flavor and so this substance was then quantitated. Although (E)-β-damascenone is a well-known secondary metabolite in beer and this substance is associated with apple or cooked apple- and berry-like flavors, it has not yet been reported as a main flavor component in non-alcoholic beers.
Regulation Effects of Beeswax in the Intermediate Oil Phase on the Stability, Oral Sensation and Flavor Release Properties of Pickering Double Emulsions
Authors: Chen Meimiao , Abdullah  , Wang Wenbo , Xiao Jie
Published: April 2022

Double emulsions (W/O/W) with compartmentalized structures have attracted a lot of research interests due to their diverse applications in the food industry. Herein, oil phase of double emulsions was gelled with beeswax (BW), and the effects of BW mass ratios (0–8.0%) on the stability, oral sensation, and flavor release profile of the emulsions were investigated. Rheological tests revealed that the mechanical properties of double emulsions were dependent on the mass ratio of BW. With the increase in BW content, double emulsions showed a higher resistance against deformation, and lower friction coefficient with a smoother mouthfeel. Turbiscan analysis showed that the addition of BW improved the stability of double emulsions during a 14 days’ storage, under freeze–thawed, and osmotic pressure conditions, but it did not improve the heating stability of double emulsions. The addition of BW contributed to lower air-emulsion partition coefficients of flavor (2,3-diacetyl) compared to those without the addition of BW at 20 °C and 37 °C, respectively. Furthermore, the addition of BW and its mass ratio significantly altered the flavor release behavior during the open-bottle storage of double emulsions. The response value of 0% BW dropped sharply on the first day of opening storage, showing a burst release behavior. While a slow and sustained release behavior was observed in double emulsions with 8.0% BW. In conclusion, gelation of the intermediate oil phase of double emulsions significantly enhanced the stability of double emulsions with tunable oral sensation and flavor release by varying the mass ratio of beeswax.
The John A. Williams Human Skeletal Collection at Western Carolina University
Authors: George Rebecca L. , Zejdlik Katie , Messer Diana L. , Passalacqua Nicholas V.
Published: April 2022

This manuscript serves to introduce The John A. Williams Human Skeletal (JAW) Collection, which is a donated skeletal collection consisting of individuals from the Body Donation Program at Western Carolina University. Full body donors decompose naturally at the Forensic Osteology Research Station (FOREST) before curation within the JAW Collection. As of 31 December 2021, the JAW Collection has 98 skeletal donors and 16 cremated donors. There are also nearly 40 donors within various stages of the decomposition and curation processes. The importance of a willed-body collection such as the JAW Collection is its ability to be utilized in educational efforts for both students and members of the public. Undergraduate students at Western Carolina University learn from our willed-body donors from the initial intake at FOREST through processing and curation within the Western Carolina Human Identification Lab (WCHIL). The JAW Collection also enables a thriving outreach program through continuing education efforts. Courses are offered throughout the year that would not be possible without a donated skeletal collection. Additionally, the FOREST and JAW Collection serve a larger community purpose by offering environmentally friendly alternatives to traditional burials for community members, demonstrating that these collections have a variety of purposes outside of academic research.
A Numerical Approach to Solve the q-Fractional Boundary Value Problems
Authors: Sheng Ying , Zhang Tie
Published: April 2022

In this present paper, we study the difference method for solving a boundary value problem of the Caputo type q-fractional differential equation. This method is based on the numerical quadrature of the q-fractional derivative and the q-Taylor expansion of related function. We first derive the truncation error boundness of O(▵xn2)-order and prove the existence and uniqueness of the numerical solution. Then, we prove the stability of the numerical solution and give the error estimation. Numerical experiments finally verify the validity of the theoretical analysis.
Second-Order Time Stepping Scheme Combined with a Mixed Element Method for a 2D Nonlinear Fourth-Order Fractional Integro-Differential Equations
Authors: Wang Deng , Liu Yang , Li Hong , Fang Zhichao
Published: April 2022

In this article, we study a class of two-dimensional nonlinear fourth-order partial differential equation models with the Riemann–Liouville fractional integral term by using a mixed element method in space and the second-order backward difference formula (BDF2) with the weighted and shifted Grünwald integral (WSGI) formula in time. We introduce an auxiliary variable to transform the nonlinear fourth-order model into a low-order coupled system including two second-order equations and then discretize the resulting equations by the combined method between the BDF2 with the WSGI formula and the mixed finite element method. Further, we derive stability and error results for the fully discrete scheme. Finally, we develop two numerical examples to verify the theoretical results.
Spray Characteristics of Bioethanol-Blended Fuel under Various Temperature Conditions Using Laser Mie Scattering and Optical Illumination
Authors: Jin Seong-Ho
Published: April 2022

Bioethanol has great potential to reduce emissions from transportation while improving energy security and developing the economy. Bioethanol has a higher octane-number and a higher enthalpy of vaporisation than gasoline (resulting in charge cooling)—properties that have been used to extend knocking limits. Therefore, bioethanol can be used to substitute gasoline in automotive engine applications. The characteristics of bioethanol spray, such as hydrous bioethanol fuel which consists of 93% bioethanol and 7% water, were investigated under various temperature conditions from sub-zero (−15 °C) to room temperature (17 °C) by means of high-speed direct photography and laser Mie scattering techniques without any seeding materials. The experimental results show that the spray patterns are not significantly changed. In the case of the sub-zero temperature condition, the spray tip penetration decreases while the spray angle keeps almost constant once the spray becomes fully developed. The results show that scaling of the spray tip penetration rate achieves a reasonable collapse of the experimental results. The normalised droplet diameter was also obtained and shows that larger droplets are formed at the sub-zero temperature condition.
Application of Machine Learning Classifiers for Mode Choice Modeling for Movement-Challenged Persons
Authors: Bhuiya Md Musfiqur Rahman , Hasan Md Musleh Uddin , Keellings David J. , Mohiuddin Hossain
Published: April 2022

In this study, we aimed to evaluate the performance of various machine learning (ML) classifiers to predict mode choice of movement-challenged persons (MCPs) based on data collected through a questionnaire survey of 384 respondents in Dhaka, Bangladesh. The mode choice set consisted of CNG-driven auto-rickshaw, bus, walking, motorized rickshaw, and non-motorized rickshaw, which was found as the most prominent mode used by MCPs. Age, sex, income, travel time, and supporting instrument (as an indicator of the level of disability) utilized by MCPs were explored as predictive variables. Results from the different split ratios with 10-fold cross-validation were compared to evaluate model outcomes. A split ratio of 60% demonstrates the optimum accuracy. It was found that Multi-nominal Logistic Regression (MNL), K-Nearest Neighbors (KNN), and Linear Discriminant Analysis (LDA) show higher accuracy for the split ratio of 60%. Overfitting of bus and walking as a travel mode was found as a source of classification error. Travel time was identified as the most important factor influencing the selection of walking, CNG, and rickshaw for MNL, KNN, and LDA. LDA and KNN depict the supporting instrument as a more important factor in mode choice than MNL. The selection of rickshaw as a mode follows a relatively normal probability distribution, while probability distribution is negatively skewed for the other three modes.
Hydrogel Adsorbents for the Removal of Hazardous Pollutants—Requirements and Available Functions as Adsorbent
Authors: Seida Yoshimi , Tokuyama Hideaki
Published: April 2022

Over the last few decades, various adsorption functions of polymer hydrogels for the removal of hazardous pollutants have been developed. The performance of hydrogel adsorbents depends on the constituents of the gels and the functions produced by the polymer networks of the gels. Research on hydrogels utilizing the characteristic functions of polymer networks has increased over the last decade. The functions of polymer networks are key to the development of advanced adsorbents for the removal of various pollutants. No review has discussed hydrogel adsorbents from the perspective of the roles and functions of polymer networks in hydrogels. This paper briefly reviews the basic requirements of adsorbents and the general characteristics of hydrogels as adsorbents. Thereafter, hydrogels are reviewed on the basis of the roles and functions of the polymer networks in them for the removal of hazardous pollutants by introducing studies published over the last decade. The application of hydrogels as adsorbents for the removal of hazardous pollutants is discussed as well.
MCPH1: A Novel Case Report and a Review of the Literature
Authors: Caraffi Stefano Giuseppe , Pollazzon Marzia , Farooq Muhammad , Fatima Ambrin , Larsen Lars Allan , Zuntini Roberta , Napoli Manuela , Garavelli Livia
Published: April 2022

Microcephaly primary hereditary (MCPH) is a congenital disease characterized by nonsyndromic reduction in brain size due to impaired neurogenesis, often associated with a variable degree of intellectual disability (ID). The genetic etiology of MCPH is heterogeneous and comprises more than 20 loci, nearly all following a recessive inheritance pattern. The first causative gene identified, MCPH1 or Microcephalin, encodes a centrosomal protein that modulates chromosome condensation and cell cycle progression. It is also involved in DNA damage response and telomere maintenance in the nucleus. Despite numerous studies on MCPH1 function, MCPH1-affected individuals are rare and the available clinical reports are not sufficient to define the natural history of the disease. Here, we present a novel patient with congenital microcephaly, ID, language delay, short stature, and other minor features such as strabismus. magnetic resonance imaging revealed ventriculomegaly, simplified gyral pattern in the frontal lobes, and a neuronal migration defect. Genetic testing detected a homozygous deletion of exons 1–8 of MCPH1. We compare the patients’ characteristics with a list of features from MCPH1 cases described in the literature, in an effort to provide additional clues for a comprehensive definition of disease presentation and evolution.
miR-24-3p Dominates the Proliferation and Differentiation of Chicken Intramuscular Preadipocytes by Blocking ANXA6 Expression
Authors: Lin Zhongzhen , Tang Yuan , Li Zhiqiang , Li Jingjing , Yu Chunlin , Yang Chaowu , Liu Li , Wang Yan , Liu Yiping
Published: April 2022

Intramuscular fat (IMF) is one of the crucial factors determining meat quality. IMF deposition depends on the hyperplasia and hypertrophy of intramuscular preadipocytes, in which genes and noncoding RNAs play an important regulatory role. According to previous transcriptome analysis, ANXA6 and miR-24-3p were identified as involved in lipid metabolism in breast muscle. In this study, we further investigated their function in the proliferation and differentiation of chicken intramuscular preadipocytes. The results indicated that overexpression of ANXA6 inhibited proliferation and promoted differentiation of intramuscular preadipocytes, while knockdown of ANXA6 promoted cell proliferation and inhibited adipogenic differentiation. miR-24-3p was proved to directly bind to the 3′ untranslated region (3′UTR) of ANXA6 by dual-luciferase reporter assay. The regulatory effect of miR-24-3p on the proliferation and differentiation of intramuscular preadipocytes was opposite to that of ANXA6. Besides, the overexpression vector of ANXA6 eliminated the impact of miR-24-3p mimics on intramuscular preadipocytes. In brief, we revealed that miR-24-3p promoted proliferation but inhibited differentiation of intramuscular preadipocytes by blocking ANXA6 expression, thus dominating IMF deposition in broilers. These findings may provide a novel target for improving chicken meat quality.
Genetic Background of Polycythemia Vera
Authors: Regimbeau Mathilde , Mary Romain , Hermetet François , Girodon François
Published: April 2022

Polycythemia vera belongs to myeloproliferative neoplasms, essentially by affecting the erythroblastic lineage. JAK2 alterations have emerged as major driver mutations triggering PV-phenotype with the V617F mutation detected in nearly 98% of cases. That’s why JAK2 targeting therapeutic strategies have rapidly emerged to counter the aggravation of the disease. Over decades of research, to go further in the understanding of the disease and its evolution, a wide panel of genetic alterations affecting multiple genes has been highlighted. These are mainly involved in alternative splicing, epigenetic, miRNA regulation, intracellular signaling, and transcription factors expression. If JAK2 mutation, irrespective of the nature of the alteration, is known to be a crucial event for the disease to initiate, additional mutations seem to be markers of progression and poor prognosis. These discoveries have helped to characterize the complex genomic landscape of PV, resulting in potentially new adapted therapeutic strategies for patients concerning all the genetic interferences.
Chromatin Structure and Dynamics: Focus on Neuronal Differentiation and Pathological Implication
Authors: Nothof Sophie , Magdinier Frédérique , Van-Gils Julien
Published: April 2022

Chromatin structure is an essential regulator of gene expression. Its state of compaction contributes to the regulation of genetic programs, in particular during differentiation. Epigenetic processes, which include post-translational modifications of histones, DNA methylation and implication of non-coding RNA, are powerful regulators of gene expression. Neurogenesis and neuronal differentiation are spatio-temporally regulated events that allow the formation of the central nervous system components. Here, we review the chromatin structure and post-translational histone modifications associated with neuronal differentiation. Studying the impact of histone modifications on neuronal differentiation improves our understanding of the pathophysiological mechanisms of chromatinopathies and opens up new therapeutic avenues. In addition, we will discuss techniques for the analysis of histone modifications on a genome-wide scale and the pathologies associated with the dysregulation of the epigenetic machinery.
MicroRNAs Influence the Migratory Ability of Human Umbilical Vein Endothelial Cells
Authors: Wang Zhaohui , Zeng Ziwei , Starkuviene Vytaute , Erfle Holger , Kan Kejia , Zhang Jian , Gunkel Manuel , Sticht Carsten , Rahbari Nuh , Keese Michael
Published: April 2022

To identify miRNAs that are involved in cell migration in human umbilical vein endothelial cells (HUVECs), we employed RNA sequencing under high glucose incubation and text mining within the databases miRWalk and TargetScanHuman using 83 genes that regulate HUVECs migration. From both databases, 307 predicted miRNAs were retrieved. Differentially expressed miRNAs were determined by exposing HUVECs to high glucose stimulation, which significantly inhibited the migratory ability of HUVECs as compared to cells cultured in normal glucose. A total of 35 miRNAs were found as differently expressed miRNAs in miRNA sequencing, and 4 miRNAs, namely miR-21-3p, miR-107, miR-143-3p, and miR-106b-5p, were identified as overlapping hits. These were subjected to hub gene analysis and pathway analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG), identifing 71 pathways which were influenced by all four miRNAs. The influence of all four miRNAs on HUVEC migration was phenomorphologically confirmed. miR21 and miR107 promoted migration in HUVECs while miR106b and miR143 inhibited migration. Pathway analysis also revealed eight shared pathways between the four miRNAs. Protein–protein interaction (PPI) network analysis was then performed to predict the functionality of interacting genes or proteins. This revealed six hub genes which could firstly be predicted to be related to HUVEC migration.
Comparative Analysis of Transposable Elements and the Identification of Candidate Centromeric Elements in the Prunus Subgenus Cerasus and Its Relatives
Authors: Wang Lei , Wang Yan , Zhang Jing , Feng Yan , Chen Qing , Liu Zhen-Shan , Liu Cong-Li , He Wen , Wang Hao , Yang Shao-Feng , Zhang Yong , Luo Ya , Tang Hao-Ru , Wang Xiao-Rong
Published: April 2022

The subgenus Cerasus and its relatives include many crucial economic drupe fruits and ornamental plants. Repetitive elements make up a large part of complex genomes, and some of them play an important role in gene regulation that can affect phenotypic variation. However, the variation in their genomes remains poorly understood. This work conducted a comprehensive repetitive sequence identification across the draft genomes of eight taxa of the genus Prunus, including four of the Prunus subgenus Cerasus (Prunus pseudocerasus, P. avium, P. yedoensis and P. × yedoensis) as well as congeneric species (Prunus salicina, P. armeniaca, P. dulcis and P. persica). Annotation results showed high proportions of transposable elements in their genomes, ranging from 52.28% (P. armeniaca) to 61.86% (P. pseudocerasus). The most notable differences in the contents of long terminal repeat retrotransposons (LTR-RTs) and tandem repeats (TRs) were confirmed with de novo identification based on the structure of each genome, which significantly contributed to their genome size variation, especially in P. avium and P.salicina. Sequence comparisons showed many similar LTR-RTs closely related to their phylogenetic relationships, and a highly similar monomer unit of the TR sequence was conserved among species. Additionally, the predicted centromere-associated sequence was located in centromeric regions with FISH in the 12 taxa of Prunus. It presented significantly different signal intensities, even within the diverse interindividual phenotypes for Prunus tomentosa. This study provides insight into the LTR-RT and TR variation within Prunus and increases our knowledge about its role in genome evolution.
Effects of Dicationic Imidazolium-Based Ionic Liquid Coatings on Oral Osseointegration of Titanium Implants: A Biocompatibility Study in Multiple Rat Demographics
Authors: Wheelis Sutton E. , Biguetti Claudia C. , Natarajan Shruti , Chandrashekar Bhuvana Lakkasetter , Arteaga Alexandra , Allami Jihad El , Garlet Gustavo P. , Rodrigues Danieli C.
Published: April 2022

Dicationic imidazolium-based ionic liquids with amino acid anions, such as IonL-phenylalanine (IonL-Phe), have been proposed as a multifunctional coating for titanium (Ti) dental implants. However, there has been no evaluation of the biocompatibility of these Ti coatings in the oral environment. This study aims to evaluate the effects of IonL-Phe on early healing and osseointegration of Ti in multiple rat demographics. IonL-Phe-coated and uncoated Ti screws were implanted into four demographic groups of rats to represent biological variations that could affect healing: young males (YMs) and females (YFs), ovariectomized (OVXFs) females, and old males (OMs). Samples underwent histopathological and histomorphometric analysis to evaluate healing at 7 and 30 days around IonL-coated and uncoated Ti. The real-time quantitative polymerase chain reaction was also conducted at the 2- and 7-day YM groups to evaluate molecular dynamics of healing while the IonL-Phe was present on the surface. IonL-coated and uncoated implants demonstrated similar histological signs of healing, while coated samples’ differential gene expression of immunological and bone markers was compared with uncoated implants at 2 and 7 days in YMs. While YMs presented suitable osseointegration for both uncoated and IonL-Phe-coated groups, decreased success rate in other demographics resulted from lack of supporting bone in YFs and poor bone quality in OVXFs and OMs. Overall, it was found that IonL-coated samples had increased bone-to-implant contact across all demographic groups. IonL-Phe coating led to successful osseointegration across all animal demographics and presented the potential to prevent failures in scenarios known to be challenged by bacteria.
Optical Genome Mapping and Single Nucleotide Polymorphism Microarray: An Integrated Approach for Investigating Products of Conception
Authors: Sahajpal Nikhil Shri , Mondal Ashis K. , Ananth Sudha , Pundkar Chetan , Jones Kimya , Williams Colin , Fee Timothy , Weissman Amanda , Tripodi Giuseppe , Oza Eesha , Gavrilova-Jordan Larisa , Omar Nivin , Hastie Alex R. , DuPont Barbara R. , Layman Lawrence , Chaubey Alka , Kolhe Ravindra
Published: April 2022

Conventional cytogenetic analysis of products of conception (POC) is of limited utility because of failed cultures, as well as microbial and maternal cell contamination (MCC). Optical genome mapping (OGM) is an emerging technology that has the potential to replace conventional cytogenetic methods. The use of OGM precludes the requirement for culturing (and related microbial contamination). However, a high percentage of MCC impedes a definitive diagnosis, which can be addressed by an additional pre-analytical quality control step that includes histological assessment of H&E stained slides from formalin-fixed paraffin embedded (FFPE) tissue with macro-dissection for chorionic villi to enrich fetal tissue component for single nucleotide polymorphism microarray (SNPM) analysis. To improve the diagnostic yield, an integrated workflow was devised that included MCC characterization of POC tissue, followed by OGM for MCC-negative cases or SNPM with histological assessment for MCC-positive cases. A result was obtained in 93% (29/31) of cases with a diagnostic yield of 45.1% (14/31) with the proposed workflow, compared to 9.6% (3/31) and 6.4% (2/31) with routine workflow, respectively. The integrated workflow with these technologies demonstrates the clinical utility and higher diagnostic yield in evaluating POC specimens.
A Cellular-Automaton Model for Population-Density and Urban-Extent Dynamics at the Regional Level: The Case of Ukrainian Provinces
Authors: Lohachov Mykhailo , Rybnikova Nataliya
Published: April 2022

The efficient modeling of population-density and urban-extent dynamics is a precondition for monitoring urban sprawl and managing the accompanying conflicts. Currently, one of the most promising approaches in this field is cellular automata—spatial models allowing one to anticipate the behavior of unit areas (e.g., evolution or degradation) in response to the influence of their neighborhood. In the present study, the possibility of modeling the population-density and urban-extent dynamics via a cellular automaton with density-specific parameters is tested. Using an adaptive genetic algorithm, three key model parameters (the evolution and degradation thresholds of a cell and its impact upon the neighbors) are optimized to ensure minimal deviation of the model predictions from actual population dynamics data for 24 Ukrainian provinces during three subsequent time windows from 2010–2019. The performance of the obtained optimized models is assessed in terms of the ability to (1) predict population-density classes and (2) discriminate between urban and rural areas. Generally, the obtained optimized models show high performance for both population-density and urban-extent dynamics (with the average Cohen’s Kappa reaching ~0.81 and ~0.91, respectively). Rare cases with poor prediction accuracy usually represent politically and economically unstable Eastern Ukrainian provinces involved in the military conflict since 2014. Statistical analysis of the obtained model parameters reveals significant differences (p < 0.001) in all of them among population-density classes, arguing for the plausibility of the selected density-specific model architecture. Upon exclusion of the above-mentioned Eastern Ukrainian provinces, all model coefficients appear rather stable (p > 0.135) through the three analyzed time windows, indicating the robustness of the model. The ability of the model to discriminate between urban and rural areas depends on the population density threshold. The best correspondence between actual and predicted urban areas emerges upon the 3000 persons/km2 population-density threshold. Further improvement of the model seems possible via extending its input beyond the population density data alone, e.g., by accounting for the existing infrastructure and/or natural boundaries—known factors stimulating or inhibiting urban sprawl.
Three-Dimensional Numerical Modeling of Flow Hydrodynamics and Cohesive Sediment Transport in Enid Lake, Mississippi
Authors: Chao Xiaobo , Hossain A. K. M. Azad , Al-Hamdan Mohammad Z. , Jia Yafei , Cizdziel James V.
Published: April 2022

Enid Lake is one of the largest reservoirs located in Yazoo River Basin, the largest basin in the state of Mississippi. The lake was impounded by Enid Dam on the Yocona River in Yalobusha County and covers an area of 30 square kilometers. It provides significant natural and recreational resources. The soils in this region are highly erodible, resulting in a large amount of fine-grained cohesive sediment discharged into the lake. In this study, a 3D numerical model was developed to simulate the free surface hydrodynamics and transportation of cohesive sediment with a median diameter of 0.0025 to 0.003 mm in Enid Lake. Flow fields in the lake are generally induced by wind and upstream river inflow, and the sediment is also introduced from the inflow during storm events. The general processes of sediment flocculation and settling were considered in the model, and the erosion rate and deposition rate of cohesive sediment were calculated. In this model, the sediment simulation was coupled with flow simulation. In this research, remote sensing technology was applied to estimate the sediment concentration at the lake surface and provide validation data for numerical model simulation. The model results and remote sensing data help us to understand the transport, deposition and resuspension processes of cohesive sediment in large reservoirs due to wind-induced currents and upstream river flows.
Cretaceous Dinosaurs across Alaska Show the Role of Paleoclimate in Structuring Ancient Large-Herbivore Populations
Authors: Fiorillo Anthony R. , McCarthy Paul J. , Kobayashi Yoshitsugu , Suarez Marina B.
Published: April 2022

The partially correlative Alaskan dinosaur-bearing Prince Creek Formation (PCF), North Slope, lower Cantwell Formation (LCF), Denali National Park, and Chignik Formation (CF), Aniakchak National Monument, form an N–S transect that, together, provides an unparalleled opportunity to examine an ancient high-latitude terrestrial ecosystem. The PCF, 75–85° N paleolatitude, had a Mean Annual Temperature (MAT) of ~5–7 °C and a Mean Annual Precipitation (MAP) of ~1250 mm/year. The LCF, ~71° N paleolatitude, had a MAT of ~7.4 °C and MAP of ~661 mm/year. The CF, ~57° N paleolatitude, had a MAT of ~13 °C and MAP of ~1090 mm/year. The relative abundances of the large-bodied herbivorous dinosaurs, hadrosaurids and ceratopsids, vary along this transect, suggesting that these climatic differences (temperature and precipitation) played a role in the ecology of these large-bodied herbivores of the ancient north. MAP played a more direct role in their distribution than MAT, and the seasonal temperature range may have played a secondary role.
Explaining Cannabis Use by Adolescents: A Comparative Assessment of Fuzzy Set Qualitative Comparative Analysis and Ordered Logistic Regression
Authors: de Andres-Sanchez Jorge , Belzunegui-Eraso Angel
Published: April 2022

Background: This study assesses the relevance of several factors that the literature on the substance use of adolescents considers relevant. The factors embed individual variables, such as gender or age; factors linked with parental style; and variables that are associated with the teenager’s social environment. Methods: The study applies complementarily ordered logistic regression (OLR) and fuzzy set qualitative comparative analysis (fsQCA) in a sample of 1935 teenagers of Tarragona (Spain). Results: The OLR showed that being female (OR = 0.383; p < 0.0001), parental monitoring (OR = 0.587; p = 0.0201), and religiousness (OR = 0.476; p = 0.006) are significant inhibitors of cannabis consumption. On the other hand, parental tolerance to substance use (OR = 42.01; p < 0.0001) and having close peers that consume substances (OR = 5.60; p < 0.0001) act as enablers. The FsQCA allowed for fitting the linkages between the factors from a complementary perspective. (1) The coverage (cov) and consistency (cons) attained by the explanatory solutions of use (cons = 0.808; cov = 0.357) are clearly lower than those obtained by the recipes for nonuse (cons = 0.952; cov = 0.869). (2) The interaction of being male, having a tolerant family to substance use, and peer attitudes toward substances are continuously present in the profiles that are linked to a risk of cannabis smoking. (3) The most important recipe that explains resistance to cannabis is simply parental disagreement with substance consumption. Conclusions: On the one hand, the results of the OLR allow for determining the strength of an evaluated risk or protective factors according to the value of the OR. On the other hand, the fsQCA allows for the identification not only of profiles where there is a high risk of cannabis use, but also profiles where there is a low risk.
Intersexuality/Differences of Sex Development through the Discourse of Intersex People, Their Relatives, and Health Experts: A Descriptive Qualitative Study
Authors: Moreno-Begines María de las Nieves , Arroyo-Rodríguez Almudena , Borrallo-Riego Álvaro , Guerra-Martín María Dolores
Published: April 2022

Intersex/differences of sex development (DSD) conditions are divergences among genitalia, gonads, and chromosome patterns. These variances have been present for millennia and socially defined according to the cultural system established. The aim of this study is to describe the perspectives of adult intersex/DSD people, their relatives, and intersex/DSD expert professionals in Spain. A descriptive qualitative study design was adopted. The study was carried out in several locations in Spain. Individual in-depth interviews were conducted and addressed to 12 participants (4 intersex/DSD people, 3 relatives, and 5 professional experts). A total of 4 spheres, 10 categories, and 26 subcategories were obtained. The number of verbatims obtained in each of the spheres described were intersex/DSD as a community (n = 54), health sphere approach (n = 77), law sphere approach (n = 12), and psychosocial approach (n = 73). Regarding intersex/DSD as a community sphere, there is a clear need of promoting education on sex and body diversity. With respect to the health sphere, it is mentioned the inadequacy of services and how this has a negative impact on the health of intersex/DSD people. Regarding the law sphere, it is highlighted the need of designing legislations at a national level which protect and defend the rights of intersex/DSD people. Regarding the psychosocial sphere, these people suffer from social isolation, secrecy, shame, self-identity questioning, and mental disorders that negatively impact their quality of life.
Augmented Reality in Radiology for Education and Training—A Design Study
Authors: Raith Alexander , Kamp Christoph , Stoiber Christina , Jakl Andreas , Wagner Markus
Published: April 2022

Education is an important component of every healthcare system. Patients need to be educated about their planned procedures; healthcare professionals need to be trained in their respective profession. Both patient education and the training of healthcare professionals are often completed in person, which requires resources and is bound to certain times and places. Virtual educational environments can potentially save human and monetary resources, increase learner engagement, and enable users to learn according to their own schedules. This design study describes proofs of concept for two augmented reality-enabled (AR) educational tools, utilizing a Microsoft HoloLens head-mounted display. In the first use case, we demonstrate an AR application which could be used to educate cancer patients about their radiotherapy treatment and potentially reduce patient anxiety. The second use case demonstrates an AR training environment, which could complement the practical training of undergraduate radiography students. Two prototypes—VIPER, for patient education, and ARTUR for the training of radiography students—were developed and tested for viability and usability, both based on individual user tests. Both patient and student education were evaluated as viable and usable additions to conventional educational methods, despite being limited in terms of accessibility, usability, and fidelity. Suitable hardware is becoming more accessible and capable, and higher-fidelity holograms, better utilization of real-world objects, and more intuitive input methods could increase user immersion and acceptance of the technology.
Motivation and Barriers to Research among Nursing Professionals in Southeast Spain
Authors: Ramón Carmen , Nievas-Soriano Bruno José , García-González Jessica , Alarcón-Rodríguez Raquel , Requena-Mullor Mar , Lozano-Paniagua David
Published: April 2022

Background: Nursing research promotes quality care and is essential. Thus, it is important to acknowledge the main motivations and barriers that nursing professionals find in their work, the aim of this study was to establish the main aspects that motivate and make nursing research difficult, for nursing professionals; Methods: a descriptive cross-sectional study was carried out on 91 nursing professionals. A validated structured questionnaire composed of 42 items that defined five domains was used. Descriptive and bivariant analyses were performed; Results: the highest scores were obtained for the domain of Knowledge and Preparation (33.79 ± 3.38), while the domain of Available Resources and Support obtained lower mean values (22.60 ± 5.61). Significant differences were found in two domains: Knowledge and Preparation and Professional Development domains, when regarding the service in which the participants were working (p < 0.05); in the Available Resources and Support domain, when regarding sex (p < 0.05), in the Motivations domain, regarding the number of children (p < 0.05); Conclusions: nursing professionals show a positive attitude towards nursing research. The nurses find motivation in their work environment, in the economic incentives, or in the possibility to improve their curriculum vitae. The main barriers are the lack of time, the lack of institutional support, and the lack of training, especially in languages, such as English. These findings could be useful to design programs to overcome these barriers.
Intelligent Deep-Learning-Enabled Decision-Making Medical System for Pancreatic Tumor Classification on CT Images
Authors: Vaiyapuri Thavavel , Dutta Ashit Kumar , Punithavathi I. S. Hephzi , Duraipandy P. , Alotaibi Saud S. , Alsolai Hadeel , Mohamed Abdullah , Mahgoub Hany
Published: April 2022

Decision-making medical systems (DMS) refer to the design of decision techniques in the healthcare sector. They involve a procedure of employing ideas and decisions related to certain processes such as data acquisition, processing, judgment, and conclusion. Pancreatic cancer is a lethal type of cancer, and its prediction is ineffective with current techniques. Automated detection and classification of pancreatic tumors can be provided by the computer-aided diagnosis (CAD) model using radiological images such as computed tomography (CT) and magnetic resonance imaging (MRI). The recently developed machine learning (ML) and deep learning (DL) models can be utilized for the automated and timely detection of pancreatic cancer. In light of this, this article introduces an intelligent deep-learning-enabled decision-making medical system for pancreatic tumor classification (IDLDMS-PTC) using CT images. The major intention of the IDLDMS-PTC technique is to examine the CT images for the existence of pancreatic tumors. The IDLDMS-PTC model derives an emperor penguin optimizer (EPO) with multilevel thresholding (EPO-MLT) technique for pancreatic tumor segmentation. Additionally, the MobileNet model is applied as a feature extractor with optimal auto encoder (AE) for pancreatic tumor classification. In order to optimally adjust the weight and bias values of the AE technique, the multileader optimization (MLO) technique is utilized. The design of the EPO algorithm for optimal threshold selection and the MLO algorithm for parameter tuning shows the novelty. A wide range of simulations was executed on benchmark datasets, and the outcomes reported the promising performance of the IDLDMS-PTC model on the existing methods.
A Preliminary Study on the Cultural Competence of Nurse Practitioners and Its Affecting Factors
Authors: Liu Tsui-Ting , Chen Miao-Yen , Chang Yu-Mei , Lin Mei-Hsiang
Published: April 2022

Cultural competence refers to a healthcare provider’s ability to consider cultural factors that affect an individual’s health and attitudes toward disease and disability. Nurse practitioners (NPs) are increasingly important in healthcare, practicing culturally competent care strategies to improve the quality of patient care. The aim of this study was to explore cultural competence and its related factors among NPs. A cross sectional study design with a structured questionnaire survey was used. Purposive sampling was employed, for which 86 NPs were recruited from a medical center in northern Taiwan. A T-test, one-way ANOVA, and Pearson’s product-moment correlation coefficient were used for data analysis. The results were as follows: (1) overall, the total score for cultural competence was above-average, with a score of 3.75; (2) years of experience as a NP was found to have a statistically significant correlation with overall clinical competence, with r = 0.23, p < 0.05; (3) there were significant differences in clinical awareness and cultural sensitivity related to the clinical ladder system (t = −2.42, p = 0.01; t = −2.04, p = 0.04). The findings of this study can provide information for directors of medical institutions to design an in-service educational program for NPs to enhance their cultural competence and nursing quality.
The Rise of Wine among Ancient Civilizations across the Mediterranean Basin
Authors: Harutyunyan Mkrtich , Malfeito-Ferreira Manuel
Published: April 2022

The purpose of this work is to present the archaeological and historical background of viticulture and winemaking from ancient times to the present day in the Mediterranean basin. According to recent archaeological, archaeochemical and archaeobotanical data, winemaking emerged during the Neolithic period (c. 7th–6th millennium BC) in the South Caucasus, situated between the basins of the Black and Caspian Seas, and subsequently reached the Iberian Peninsula and Western Europe during the local beginning of Iron Age (c. 8th century BC), following the main maritime civilizations. This review summarises the most relevant findings evidencing that the expansion of wine production, besides depending on adequate pedo-climatic conditions and wine-growing practices, also required the availability of pottery vessels to properly ferment, store and transport wine without deterioration. The domestication of wild grapevines enabled the selection of more productive varieties, further sustaining the development of wine trade. Other fermented beverages such as mead and beer gradually lost their relevance and soon wine became the most valorised. Together with grapes, it became an object and a system of value for religious rituals and social celebrations throughout successive ancient Western civilizations. Moreover, wine was used for medicinal purposes and linked to a wide variety of health benefits. In everyday life, wine was a pleasant drink consumed by the elite classes and commoner populations during jubilee years, festivals, and banquets, fulfilling the social function of easy communication. In the present work, emphasis is put on the technical interpretation of the selected archaeological and historical sources that may explain present viticultural and oenological practices. Hopefully, this review will contribute to nurturing mutual understanding between archaeologists and wine professionals.
Effects of Azorhizobium caulinodans and Piriformospora indica Co-Inoculation on Growth and Fruit Quality of Tomato (Solanum lycopersicum L.) under Salt Stress
Authors: Xu Zhiwen , Pehlivan Necla , Ghorbani Abazar , Wu Chu
Published: April 2022

Salt stress is a worldwide environmental signal, reducing the growth and yield of crops. To improve crop tolerance to salt, several beneficial microbes are utilized. Here, nitrogen-fixing bacterium Azorhizobium caulinodans and root endophytic fungus Piriformospora indica were used to inoculate tomato (Solanum lycopersicum) under salt stress, and the effects of the co-inoculation were investigated. Results showed that A. caulinodans colonized in the intercellular space in stems and roots of tomato plants, while P. indica colonized in the root cortex. Two weeks following salt treatment, co-inoculated tomato plants grew substantially taller and had larger stem base diameters. Activities of superoxide dismutase (SOD), catalase (CAT), peroxidase (POD), and reduced and oxidized ascorbate and glutathione (i.e., AsA, DHA, GSH, and GSSG, respectively) concentrations along with the ratios of AsA/(AsA + DHA) and GSH/(GSH + GSSG) increased in the leaves of co-inoculated plants under salt stress. The co-inoculation significantly increased soluble proteins and AsA in fruits; however, concentrations of soluble sugars and proanthocyanins did not show significant changes, compared with NaCl only treatment. Data suggest that A. caulinodans and P. indica co-inoculation boosted tomato growth and improved the quality of tomato fruits under salt stress. O-inoculation of A. caulinodans and P. indica might be employed to enhance tomato plant salt tolerance.
Effectiveness of Strategies for Nutritional Therapy for Patients with Type 2 Diabetes and/or Hypertension in Primary Care: A Systematic Review and Meta-Analysis
Authors: Simões Corrêa Galendi Julia , Leite Renata Giacomini Occhiuto Ferreira , Banzato Luísa Rocco , Nunes-Nogueira Vania dos Santos
Published: April 2022

A central aspect to the management of type 2 Diabetes Mellitus (T2DM) and hypertension is promoting a healthy lifestyle, and nutritional therapy (NT) can support patients achieving glycemic control and blood pressure targets. This systematic review aimed to evaluate the effectiveness of NT in the management of patients with T2DM and/or hypertension in primary care. Primary outcomes were HbA1c, systolic blood pressure (SBP) and diastolic blood pressure (DBP). Thirty-nine studies were included, thirty on T2DM and nine on hypertension. With a moderate quality of evidence, educational/counseling programs and food replacement programs in primary care likely reduce HbA1c on patients with T2DM (mean difference (MD): −0.37, 95% CI: −0.57 to −0.17, 7437 patients, 27 studies; MD: −0.54, 95% CI: −0.75 to −0.32, 440 patients, 2 studies, respectively). Mediterranean diet for T2DM was accessed by one study, and no difference between the groups was found. Educational and counseling programs likely reduce DBP in patients with hypertension (MD: −1.79, 95% CI: −3.46, −0.12, 2840 patients, 9 studies, moderate quality of the evidence), but the effect in SBP was unclear due to risk of bias and imprecision. Nutritional therapy strategies (i.e., educational/counseling programs and food replacement programs) in primary care improved HbA1c in patients with T2DM and DBP in individuals with hypertension.
Analysis of Factors Contributing to the Injury Severity of Overloaded-Truck-Related Crashes on Mountainous Highways in China
Authors: Wen Huiying , Du Yingxin , Chen Zheng , Zhao Sheng
Published: April 2022

Overloaded transport can certainly improve transportation efficiency and reduce operating costs. Nevertheless, several negative consequences are associated with this illegal activity, including road subsidence, bridge collapse, and serious casualties caused by accidents. Given the complexity and variability of mountainous highways, this study examines 1862 overloaded-truck-related crashes that happened in Yunnan Province, China, and attempts to analyze the key factors contributing to the injury severity. This is the first time that the injury severity has been studied from the perspective of crashes involving overloaded trucks, and meanwhile in a scenario of mountainous highways. For in-depth analysis, three models are developed, including a binary logit model, a random parameter logit model, and a classification and regression tree, but the results show that the random parameter logit model outperforms the other two. In the best-performing model, a total of fifteen variables are found to be significant at the 99% confidence level, including random variables such as freeway, broadside hitting, impaired braking performance, spring, and evening. In regards to the fixed variables, it is likely that the single curve, rollover, autumn, and winter variables will increase the probability of fatalities, whereas the provincial highway, country road, urban road, cement, wet, and head-on variables will decrease the likelihood of death. Our findings are useful for industry-related departments in formulating and implementing corresponding countermeasures, such as strengthening the inspection of commercial trucks, increasing the penalties for overloaded trucks, and installing certain protective equipment and facilities on crash-prone sections.