bluuebunny/crossref_metadata_2025 huggingface dataset:
Single-Mode Solutions for Convection and Double-Diffusive Convection in Porous Media
Authors: Liu Chang , Knobloch Edgar
Published: December 2022

This work employs single-mode equations to study convection and double-diffusive convection in a porous medium where the Darcy law provides large-scale damping. We first consider thermal convection with salinity as a passive scalar. The single-mode solutions resembling steady convection rolls reproduce the qualitative behavior of root-mean-square and mean temperature profiles of time-dependent states at high Rayleigh numbers from direct numerical simulations (DNS). We also show that the single-mode solutions are consistent with the heat-exchanger model that describes well the mean temperature gradient in the interior. The Nusselt number predicted from the single-mode solutions exhibits a scaling law with Rayleigh number close to that followed by exact 2D steady convection rolls, although large aspect ratio DNS results indicate a faster increase. However, the single-mode solutions at a high wavenumber predict Nusselt numbers close to the DNS results in narrow domains. We also employ the single-mode equations to analyze the influence of active salinity, introducing a salinity contribution to the buoyancy, but with a smaller diffusivity than the temperature. The single-mode solutions are able to capture the stabilizing effect of an imposed salinity gradient and describe the standing and traveling wave behaviors observed in DNS. The Sherwood numbers obtained from single-mode solutions show a scaling law with the Lewis number that is close to the DNS computations with passive or active salinity. This work demonstrates that single-mode solutions can be successfully applied to this system whenever periodic or no-flux boundary conditions apply in the horizontal.
Solvent-Free Lipid Separation and Attenuated Total Reflectance Infrared Spectroscopy for Fast and Green Fatty Acid Profiling of Human Milk
Authors: Akhgar Christopher Karim , Ramos-Garcia Victoria , Nürnberger Vanessa , Moreno-Giménez Alba , Kuligowski Julia , Rosenberg Erwin , Schwaighofer Andreas , Lendl Bernhard
Published: December 2022

This study presents the first mid-infrared (IR)-based method capable of simultaneously predicting concentrations of individual fatty acids (FAs) and relevant sum parameters in human milk (HM). Representative fat fractions of 50 HM samples were obtained by rapid, two-step centrifugation and subsequently measured with attenuated total reflection IR spectroscopy. Partial least squares models were compiled for the acquired IR spectra with gas chromatography-mass spectrometry (GC-MS) reference data. External validation showed good results particularly for the most important FA sum parameters and the following individual FAs: C12:0 (R2P = 0.96), C16:0 (R2P = 0.88), C18:1cis (R2P = 0.92), and C18:2cis (R2P = 0.92). Based on the obtained results, the effect of different clinical parameters on the HM FA profile was investigated, indicating a change of certain sum parameters over the course of lactation. Finally, assessment of the method’s greenness revealed clear superiority compared to GC-MS methods. The reported method thus represents a high-throughput, green alternative to resource-intensive established techniques.
The Detection of Foodborne Pathogenic Bacteria in Seafood Using a Multiplex Polymerase Chain Reaction System
Authors: Li Pengzhen , Feng Xiaoxuan , Chen Baiyan , Wang Xiaoying , Liang Zuyue , Wang Li
Published: December 2022

Multiplex polymerase chain reaction (PCR) assays are mainly used to simultaneously detect or identify multiple pathogenic microorganisms. To achieve high specificity for detecting foodborne pathogenic bacteria, specific primers need to be designed for the target strains. In this study, we designed and achieved a multiplex PCR system for detecting eight foodborne pathogenic bacteria using specific genes: toxS for Vibrio parahaemolyticus, virR for Listeria monocytogenes, recN for Cronobacter sakazakii, ipaH for Shigella flexneri, CarA for Pseudomonas putida, rfbE for Escherichia coli, vvhA for Vibrio vulnificus, and gyrB for Vibrio alginolyticus. The sensitivity of the single system in this study was found to be 20, 1.5, 15, 15, 13, 14, 17, and 1.8 pg for V. parahaemolyticus, L. monocytogenes, E. coli O157:H7, C. sakazakii, S. flexneri, P. putida, V. vulnificus, and V. alginolyticus, respectively. The minimum detection limit of the multiplex system reaches pg/μL detection level; in addition, the multiplex system exhibited good specificity and stability. Finally, the assays maintained good specificity and sensitivity of 104 CFU/mL for most of the samples and we used 176 samples of eight aquatic foods, which were artificially contaminated to simulate the detection of real samples. In conclusion, the multiplex PCR method is stable, specific, sensitive, and time-efficient. Moreover, the method is well suited for contamination detection in these eight aquatic foods and can rapidly detect pathogenic microorganisms.
Nutritional Profiles, Phytochemical Analysis, Antioxidant Activity and DNA Damage Protection of Makapuno Derived from Thai Aromatic Coconut
Authors: Phonphoem Wannarat , Sinthuvanich Chomdao , Aramrak Attawan , Sirichiewsakul Suteekarn , Arikit Siwaret , Yokthongwattana Chotika
Published: December 2022

Makapuno is a natural mutant coconut cultivar with jelly-like endosperm. Here, we investigated the nutritional compositions, active ingredients, and antioxidant activities of Makapuno meat and water. The contents of macronutrients, sugars, vitamins, amino acids, and fatty acids were reported. We found that Makapuno meat has higher dietary fiber with lower protein and fat content compared to normal coconut meat. Medium-chain fatty acids were the major fat component of Makapuno meat and water. Phytochemical analysis revealed that while flavonoid content was lower, the total phenolic, alkaloid, and tannin contents of Makapuno meat were comparable with those of mature coconut. However, Makapuno water contained higher alkaloid content when compared to mature and young coconuts. The antioxidant activities, as examined by DPPH, FRAP, and ABTS assays, showed that Makapuno meat and water had antioxidant activities, and Makapuno water exhibited protective activity against DNA damage. Hence, this research provides the nutraceutical importance of Makapuno, which could be used in the food industry.
Feature Mapping for Rice Leaf Defect Detection Based on a Custom Convolutional Architecture
Authors: Hussain Muhammad , Al-Aqrabi Hussain , Munawar Muhammad , Hill Richard
Published: December 2022

Rice is a widely consumed food across the world. Whilst the world recovers from COVID-19, food manufacturers are looking to enhance their quality inspection processes for satisfying exportation requirements and providing safety assurance to their clients. Rice cultivation is a significant process, the yield of which can be significantly impacted in an adverse manner due to plant disease. Yet, a large portion of rice cultivation takes place in developing countries with less stringent quality inspection protocols due to various reasons including cost of labor. To address this, we propose the development of lightweight convolutional neural network architecture for the automated detection of rice leaf smut and rice leaf blight. In doing so, this research addresses the issue of data scarcity via a practical variance modeling mechanism (Domain Feature Mapping) and a custom filter development mechanism assisted through a reference protocol for filter suppression.
Effects of Surface Treatment with Thymol on the Lipid Oxidation Processes, Fatty Acid Profile and Color of Sliced Salami during Refrigerated Storage
Authors: Varga-Visi Éva , Jócsák Ildikó , Kozma Vanda , Lóki Katalin , Ali Omeralfaroug , Szabó András
Published: December 2022

The oxidation of unsaturated fatty acids and the adverse transformation of pigments from meat and spices are the primary causes of chemical degradation in processed meat products. Thymol is found in a variety of plant extracts that have been proven to effectively inhibit or slow down oxidative processes. The objective of our study was to determine whether thymol treatment of the surface of sliced paprika salami could be applied to inhibit lipid oxidation and color change during refrigerated storage. During eight weeks of storage, the malondialdehyde (MDA) levels and the ratios of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), and n6/n3 in thymol-treated salami remained unchanged (p ≥ 0.05), whereas in the controls, the MDA levels increased by approximately twelvefold and the ratio of SFAs in the lipid fraction increased (p < 0.001), while the ratio of PUFAs decreased (p < 0.001). The application of thymol prevented decrease in yellowness (b*) of the slices and reduced decreases in redness (a*) and brightness (chroma).
The Effect of Household Food Processing on Pesticide Residues in Oranges (Citrus sinensis)
Authors: Omeroglu Perihan Yolci , Acoglu Celik Busra , Koc Alibasoglu Elif
Published: December 2022

In this study, the effect of various household food-processing methods (washing, peeling, processing into jam and fruit juice, freezing, storage) on pesticide residues (abamectin, buprofezin, ethoxazole, imazalil, and thiophanate-methyl) in oranges was investigated. Residue analyses were performed by quick-easy-cheap-efficient-rugged-safe (QuEChERS) extraction and liquid chromatography coupled with triple quadrupole mass spectrometry (LC-MS/MS) analysis. The limit of quantification of the method for each pesticide was 10 µg/kg. Physicochemical properties of the pesticides and the type of the food process had a considerable effect on the fate of pesticide residue. Pesticide residues were mostly dispersed on orange peels and washing with tap water decreased the residue levels by 26–84%. The amount of residue in oranges was reduced by 63–100% during fruit juice processing, while residues were removed by 90–100% after jam processing. Pesticides with a high octanol–water coefficient were absorbed by the wax of the orange peel, therefore they remained on the peel and could not easily be removed by washing. Moreover, pesticides with lower water solubility did not diffuse easily through the fruit juices from the pulp section of the fruit. The processing factor was greater than 1 for the separation of the orange peel and less than 1 for the washing step and jam and fruit juice productions.
Characterisation of a High Fibre Flour Prepared from Soy Milk By-Product and Its Potential Use in White Wheat Bread
Authors: Davy Philip , Kirkman Timothy , Scarlett Christopher J. , Vuong Quan
Published: December 2022

The commercial production of soy milk renders a large quantity of wet soybean by-product (SMB), which is typically dumped, incinerated, or partially used as animal fodder. This wet SMB has a high moisture content that is rich in nutritional and biologically active compounds. This study aimed to characterise the composition and properties of a flour milled from SMB dried at 100 °C (SMB100) and assess its possible application as a fibre substitute in white bread. The results showed that SMB100 has high levels of dietary fibre (40.6%) and protein (26.5%). It also contains high levels of saponins (31.4 mg/g) and isoflavones (698.0 µg/g). SMB100 has a light-yellow colour with low moisture content and water activity (8.2% and 0.55, respectively). The results also indicated that replacement of wheat flour with SMB100 at 10 or 12.5% by flour weight negatively impacted the raising volume, density, and texture of white bread. Alternatively, substituting wheat flour with 5% of SMB100, did not significantly impact the physical properties of white bread, while significantly improving its dietary fibre content in comparison with the control, revealing that SMB100 is a potential substitute of wheat flour for improvement of dietary fibre in bread. Future studies are needed to optimise bread formulation and improve the processing condition which produces quality white bread with high dietary fibre using SMB100.
Occurrence of Aflatoxin M1 in Three Types of Milk from Xinjiang, China, and the Risk of Exposure for Milk Consumers in Different Age-Sex Groups
Authors: Xiong Jianglin , Chen Fangyuan , Zhang Jie , Ao Weiping , Zhou Xiaoling , Yang Hua , Wu Zhongyuan , Wu Lingying , Wang Chong , Qiu Yinsheng
Published: December 2022

Aflatoxin M1 (AFM1), a group 1 carcinogen, is a risk factor to be monitored in milk. This study aimed to investigate the occurrence of AFM1 in milk in Xinjiang, China, and to assess the risk of exposure for milk consumers in different age-sex groups. A total of 259 milk samples including pasteurized milk (93 samples), extended-shelf-life (ESL) milk (96), and raw donkey milk (70) were collected in Xinjiang from January to March in 2022. The AFM1 content of the milk samples was detected using a validated ELISA method. Of the 259 total samples analyzed for AFM1, 84 (32.4%) samples were contaminated at levels greater than the detection limit of 5 ng/L, with the maximum level of 16.5 ng/L. The positive rates of AFM1 in pasteurized milk and ESL milk were 43.0% (n = 40) and 45.8% (n = 44), respectively, and AFM1 was undetectable in donkey milk. The estimated daily intakes of AFM1 in each age group were lower than the hazard limits and were similar between male and female milk consumers. Therefore, the AFM1 contamination of milk in Xinjiang is low but still needs to be continuously monitored considering that children are susceptible to AFM1.
Effects of Sous Vide Cooking on the Physicochemical and Volatile Flavor Properties of Half-Shell Scallop (Chlamys farreri) during Chilled Storage
Authors: Zhan Yuexiang , Tu Chuanhai , Jiang Huili , Benjakul Soottawat , Ni Jilong , Dong Kaixuan , Zhang Bin
Published: December 2022

This study explored the effects of sous vide (SV) cooking treatments on the physicochemical quality and volatile flavor of half-shell scallop (Chlamys farreri) during 30 d of chilled storage. The vacuum-packed scallop samples were cooked at 70 °C (SV-70) and 75 °C (SV-75) and maintained for 30 min. The samples were compared with the positive control (cooked at 100 °C for 10 min, CK). The results indicate that the total volatile basic nitrogen (TVBN), pH, texture, and malondialdehyde (MDA) content gradually increased, while the myofibrillar protein (MP) extraction rate of the CK, SV-70, and SV-75 samples significantly decreased with increasing chilled storage time. Significantly, the SV cooking treatments maintained a much higher water-holding capacity of scallop muscle, compared with the conventional cooking process at 100 °C. Additionally, the SV-75 cooking treatment maintained relatively stable TVBN, pH, and MDA content, springiness, and shearing force properties of scallop samples, especially during 0–20 d of storage. Volatile flavor analysis showed that a total of 42 volatile organic compounds (VOCs) were detected in the scallop samples, and there were no considerable differences in these VOCs between the CK and SV-75 cooked samples (0 d). Overall, the SV cooking treatments effectively maintained acceptable and stable physicochemical and volatile flavor properties of half-shell scallop samples during chilled storage.
Amanitins in Wild Mushrooms: The Development of HPLC-UV-EC and HPLC-DAD-MS Methods for Food Safety Purposes
Authors: Barbosa Isabel , Domingues Cátia , Barbosa Rui M. , Ramos Fernando
Published: December 2022

Mushroom poisoning remains a serious food safety and health concern in some parts of the world due to its morbidity and mortality. Identification of mushroom toxins at an early stage of suspected intoxication is crucial for a rapid therapeutic decision. In this study, a new extraction method was developed to determine α- and β-amanitin in mushroom samples collected from central Portugal. High-performance liquid chromatography with in-line ultraviolet and electrochemical detection was implemented to improve the specificity of the method. The method was fully validated for linearity (0.5–20.0 µg·mL−1), sensitivity, recovery, and precision based on a matrix-matched calibration method. The limit of detection was 55 µg mL−1 (UV) and 62 µg mL−1 (EC) for α-amanitin and 64 µg mL−1 (UV) and 24 µg mL−1 (EC) for β–amanitin. Intra- and inter-day precision differences were less than 13%, and the recovery ratios ranged from 89% to 117%. The developed method was successfully applied to fourteen Amanita species (A. sp.) and compared with five edible mushroom samples after extraction with Oasis® PRIME HLB cartridges without the conditioning and equilibration step. The results revealed that the A. phalloides mushrooms present the highest content of α- and β-amanitin, which is in line with the HPLC-DAD-MS. In sum, the developed analytical method could benefit food safety assessment and contribute to food-health security, as it is rapid, simple, sensitive, accurate, and selectively detects α- and β-amanitin in any mushroom samples.
Solvability of Nonlinear Impulsive Generalized Fractional Differential Equations with (p,q)-Laplacian Operator via Critical Point Theory
Authors: Zhou Jianwen , Liu Yuqiong , Wang Yanning , Suo Jianfeng
Published: December 2022

In this paper, we consider the nonlinear impulsive generalized fractional differential equations with (p,q)-Laplacian operator for 1<p≤q<∞, in which the nonlinearity f contains two fractional derivatives with respect to another function. Since the complexity of the nonlinear term and the impulses exist in generalized fractional calculus, it is difficult to find the corresponding variational functional of the problem. The existence of nontrivial solutions for the problem is established by the mountain pass theorem and iterative technique under some appropriate assumptions. Furthermore, our main result is demonstrated by an illustrative example to show its feasibility and effectiveness. Due to the employment of a generalized fractional operator, our results extend some existing research findings.
A Complete Analysis on the Risk of Using Quantal Response: When Attacker Maliciously Changes Behavior under Uncertainty
Authors: Nguyen Thanh Hong , Yadav Amulya
Published: December 2022

In security games, the defender often has to predict the attacker’s behavior based on some observed attack data. However, a clever attacker can intentionally change its behavior to mislead the defender’s learning, leading to an ineffective defense strategy. This paper investigates the attacker’s imitative behavior deception under uncertainty, in which the attacker mimics a (deceptive) Quantal Response behavior model by consistently playing according to a certain parameter value of that model, given that it is uncertain about the defender’s actual learning outcome. We have three main contributions. First, we introduce a new maximin-based algorithm to compute a robust attacker deception decision under uncertainty, given the defender is unaware of the attacker deception. Our polynomial algorithm is built via characterizing the decomposability of the attacker deception space as well optimal deception behavior of the attacker against the worst case of uncertainty. Second, we propose a new counter-deception algorithm to tackle the attacker’s deception. We theoretically show that there is a universal optimal defense solution, regardless of any private knowledge the defender has about the relation between their learning outcome and the attacker deception choice. Third, we conduct extensive experiments in various security game settings, demonstrating the effectiveness of our proposed counter-deception algorithms to handle the attacker manipulation.
Cournot’s Oligopoly Equilibrium under Different Expectations and Differentiated Production
Authors: Grisáková Nora , Štetka Peter
Published: December 2022

The subject of this study is an oligopolistic market in which three firms operate in an environment of quantitative competition known as the Cournot oligopoly model. Firms and their production are differentiated, which brings the theoretical model closer to real market conditions. The main objective was to expand the Cournot duopoly and add another firm, resulting in an oligopolistic market structure assuming a partially differentiated production and coalition strategy between two firms. This article contains an oligopolistic model specifically designed for three different types of expectations, and has been applied to find and verify the stability of the net equilibrium of oligopolists. The market of telecommunication operators in Slovakia was selected as a real market case with accessible data on an oligopoly with three companies and partial differentiation. There are studies in which the authors limit their considerations to a certain number of repetitions of oligopolistic games. An infinite time interval is considered here. Three types of future expectations were considered: a simple dynamic model (or naïve expectations) in which the oligopolist assumes that its competitors will behave in the future based on their response functions, an adaptive expectations model in which the oligopolist considers a weighted average of the quantities offered by its competitors, and real expectations in which firms behave as rational players and do not have complete information about demand and offer output based on expected marginal profit. While the presented model proved to be stable under naïve and adaptive expectations, no stable equilibrium was found under real expectations and further results indicate a chaotic behavior.
Phylogenetic Analyses of Some Key Genes Provide Information on Pollinator Attraction in Solanaceae
Authors: Pereira Aléxia G. , Guzmán-Rodriguez Sebastián , Freitas Loreta B.
Published: December 2022

Floral syndromes are known by the conserved morphological traits in flowers associated with pollinator attraction, such as corolla shape and color, aroma emission and composition, and rewards, especially the nectar volume and sugar concentration. Here, we employed a phylogenetic approach to investigate sequences of genes enrolled in the biosynthetic pathways responsible for some phenotypes that are attractive to pollinators in Solanaceae genomes. We included genes involved in visible color, UV-light response, scent emission, and nectar production to test the hypothesis that these essential genes have evolved by convergence under pollinator selection. Our results refuted this hypothesis as all four studied genes recovered the species’ phylogenetic relationships, even though some sites were positively selected. We found differences in protein motifs among genera in Solanaceae that were not necessarily associated with the same floral syndrome. Although it has had a crucial role in plant diversification, the plant–pollinator interaction is complex and still needs further investigation, with genes evolving not only under the influence of pollinators, but by the sum of several evolutionary forces along the speciation process in Solanaceae.
A Comparison between Three Tuning Strategies for Gaussian Kernels in the Context of Univariate Genomic Prediction
Authors: Montesinos-López Osval A. , Carter Arron H. , Bernal-Sandoval David Alejandro , Cano-Paez Bernabe , Montesinos-López Abelardo , Crossa José
Published: December 2022

Genomic prediction is revolutionizing plant breeding since candidate genotypes can be selected without the need to measure their trait in the field. When a reference population contains both phenotypic and genotypic information, it is trained by a statistical machine learning method that is subsequently used for making predictions of breeding or phenotypic values of candidate genotypes that were only genotyped. Nevertheless, the successful implementation of the genomic selection (GS) methodology depends on many factors. One key factor is the type of statistical machine learning method used since some are unable to capture nonlinear patterns available in the data. While kernel methods are powerful statistical machine learning algorithms that capture complex nonlinear patterns in the data, their successful implementation strongly depends on the careful tuning process of the involved hyperparameters. As such, in this paper we compare three methods of tuning (manual tuning, grid search, and Bayesian optimization) for the Gaussian kernel under a Bayesian best linear unbiased predictor model. We used six real datasets of wheat (Triticum aestivum L.) to compare the three strategies of tuning. We found that if we want to obtain the major benefits of using Gaussian kernels, it is very important to perform a careful tuning process. The best prediction performance was observed when the tuning process was performed with grid search and Bayesian optimization. However, we did not observe relevant differences between the grid search and Bayesian optimization approach. The observed gains in terms of prediction performance were between 2.1% and 27.8% across the six datasets under study.
Genome-Wide Identification and Expression Analysis of m6A Writers, Erasers, and Readers in Litchi (Litchi chinensis Sonn.)
Authors: Tang Liwen , Xue Jiali , Ren Xingyu , Zhang Yue , Du Liqing , Ding Feng , Zhou Kaibing , Ma Wuqiang
Published: December 2022

N6-methyladenosine (m6A) RNA modification is the most prevalent type of RNA methylation and plays a pivotal role in the development of plants. However, knowledge of the m6A modification in litchi remains limited. In this study, a complete analysis of m6A writers, erasers, and readers in litchi was performed and 31 litchi m6A regulatory genes were identified in total, including 7 m6A writers, 12 m6A erases, and 12 readers. Phylogeny analysis showed that all three of the kinds of litchi m6A regulatory proteins could be divided into three groups; domains and motifs exhibited similar patterns in the same group. MiRNA target site prediction showed that 77 miRNA target sites were located in 25 (80.6%) litchi m6A regulatory genes. Cis-elements analysis exhibited that litchi m6A regulatory genes were mainly responsive to light and plant hormones, followed by environmental stress and plant development. Expression analysis revealed litchi m6A regulatory genes might play an important role during the peel coloration and fruit abscission of litchi. This study provided valuable and expectable information of litchi m6A regulatory genes and their potential epigenetic regulation mechanism in litchi.
Orchid NAC Transcription Factors: A Focused Analysis of CUPULIFORMIS Genes
Authors: Valoroso Maria Carmen , Lucibelli Francesca , Aceto Serena
Published: December 2022

Plant transcription factors are involved in different developmental pathways. NAC transcription factors (No Apical Meristem, Arabidopsis thaliana Activating Factor, Cup-shaped Cotyledon) act in various processes, e.g., plant organ formation, response to stress, and defense mechanisms. In Antirrhinum majus, the NAC transcription factor CUPULIFORMIS (CUP) plays a role in determining organ boundaries and lip formation, and the CUP homologs of Arabidopsis and Petunia are involved in flower organ formation. Orchidaceae is one of the most species-rich families of angiosperms, known for its extraordinary diversification of flower morphology. We conducted a transcriptome and genome-wide analysis of orchid NACs, focusing on the No Apical Meristem (NAM) subfamily and CUP genes. To check whether the CUP homologs could be involved in the perianth formation of orchids, we performed an expression analysis on the flower organs of the orchid Phalaenopsis aphrodite at different developmental stages. The expression patterns of the CUP genes of P. aphrodite suggest their possible role in flower development and symmetry establishment. In addition, as observed in other species, the orchid CUP1 and CUP2 genes seem to be regulated by the microRNA, miR164. Our results represent a preliminary study of NAC transcription factors in orchids to understand the role of these genes during orchid flower formation.
A Neural Network Model for Estimation of Failure Stresses and Strains in Cohesive Soils
Authors: Savvides Ambrosios-Antonios , Papadopoulos Leonidas
Published: December 2022

In this article, a set of neural networks for the prediction of the stresses and the corresponding strains at failure of cohesive soils when subjected to a load of a shallow foundation are presented. The data are acquired via Monte Carlo analyses for different types of loadings and stochastic input material variabilities, and by adopting the clayey soil domain and modified Cam Clay material yield function. The mathematical functions for the estimation of the failure stresses and strains are computed with the feed forward neural network method (FNN). It is demonstrated that the accuracy of the derived relations is in the order of a maximum relative error of 10−5 in all monitored output variables. In addition, the number of training epochs required for convergence is relatively low and this means that the computational and data costs for the construction of the FNN are low. The critical input variable for the estimation of the most unfavorable situations is the Karhunen Loeve series expansion for porous analyses, while for non-porous analyses the constant distribution over depth is the one that provides more critical estimations for the monitored output variables of stresses and strains at failure. This set of functions can estimate the aforementioned variables of the footing settlement in clays with high accuracy; consequently, it can be an important tool for geotechnical engineering design, especially in providing the largest stress allowed from the foundation.
Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India
Authors: Khura Bikash , Mohanty Parimala , Patnaik Lipilekha , Pradhan Keerti Bhusan , Khubchandani Jagdish , Padhi Bijaya Kumar
Published: December 2022

Understanding socioeconomic inequalities in non-communicable disease prevalence and preventive care usage can help design effective action plans for health equality programs among India’s aging population. Hypertension (HTN) and diabetes mellitus (DM) are frequently used as model non-communicable diseases for research and policy purposes as these two are the most prevalent NCDs in India and are the leading causes of mortality. For this investigation, data on 31,464 older persons (aged 60 years and above) who took part in the Longitudinal Ageing Survey of India (LASI: 2017–2018) were analyzed. The concentration index was used to assess socioeconomic inequality whereas relative inequalities indices were used to compare HTN, DM, and preventive care usage between the different groups of individuals based on socioeconomic status. The study reveals that wealthy older adults in India had a higher frequency of HTN and DM than the poor elderly. Significant differences in the usage of preventive care, such as blood pressure/blood glucose monitoring, were found among people with HTN or DM. Furthermore, economic position, education, type of work, and residential status were identified as important factors for monitoring inequalities in access to preventive care for HTN and DM. Disparities in non-communicable diseases can be both a cause and an effect of inequality across social strata in India.
Extraction of Color Information and Visualization of Color Differences between Digital Images through Pixel-by-Pixel Color-Difference Mapping
Authors: Yoo Woo Sik , Kang Kitaek , Kim Jung Gon , Yoo Yeongsik
Published: December 2022

A novel method of extracting color information on a pixel-by-pixel basis or by the average of the regions of interest (ROIs) from digital images is proposed and demonstrated using newly developed and customized image-processing/analysis software (PicMan). For quantitative and statistical analyses of color, the newly developed software can be used for digital archive or digital forensic applications in various fields. The color differences between unrelated, similar, or identical scenes and or objects were quantified in various formats of desired color spaces such as RGB, HSV, XYZ, CIE L*a*b*, Munsell color, and hexadecimal color values. The color differences were visualized as images of pixel-by-pixel mapping of the ΔL*, Δa*, Δb*, ΔERGB, ΔEHSV, and ΔE*L*a*b* values and block comparison images of desired block sizes. Various color analyses and color-difference mapping examples using an aged and damaged oil painting before and after restoration were introduced. The effects of the image file format differences between PNG and JPG on color distortion are demonstrated by statistics and pixel-by-pixel color-difference mapping. A portrait of Chuk-ki Yoo (兪拓基, 1691–1767) on silk from the 18th century from Korea was used for further color analysis for whole and selected areas. A collector’s ownership stamp of Chuk-ki Yoo stamped in red ink on the text areas in one of his book collections was extracted using the image-processing software and superimposed on the original image as a visualization enhancement example. Image analysis, processing, modification, enhancement, and highlighting, as well as statistical color analysis of digital images in most formats, can conveniently and efficiently be performed using one piece of dedicated software (PicMan). The pixel-by-pixel color information extraction and color comparison technique can be very effective for a variety of applications in art and cultural heritage objects.
Hyperkalemia and Electrocardiogram Manifestations in End-Stage Renal Disease
Authors: Rafique Zubaid , Hoang Bryan , Mesbah Heba , Pappal Ryan , Peacock Frank W. , Juarez-Vela Raul , Szarpak Lukasz , Kuo Dick C.
Published: December 2022

Hyperkalemia is one of the more common acute life-threatening metabolic emergencies. The aim of our study is to determine the correlation and accuracy of abnormal ECG parameters as a function of serum potassium concentration in the end-stage renal disease (ESRD) population. We performed a retrospective chart review of emergency department patients presenting with ESRD and receiving emergent hemodialysis treatment. A total of 96 patients, each with five independent ED visits, provided 480 sets of ECGs and electrolytes. Of these, four ECGs were excluded for inability to interpret, leaving a total of 476 patient encounters that met all inclusion criteria. Linear regression analysis on the limited data set for serum potassium versus T/R in V2, V3, and V4, PR, and QRS found weak correlations (r2 = 0.02 to 0.12) with statistical significance <0.05 level for T/R in V2, V3, and V4. In summary, we found that a QRS duration of 120 ms or greater is most predictive of hyperkalemia in the ESRD population. On the other hand, T/R ratio, PR interval and QRS duration have poor correlations with serum potassium and are not predictive of hyperkalemia in patients with ESRD.
Association between Perceived Organizational Support for Infection Prevention and Work Engagement during the COVID-19 Pandemic among Japanese Workers: A Prospective Cohort Study
Authors: Odagami Kiminori , Nagata Tomohisa , Mafune Kosuke , Ando Hajime , Tateishi Seiichiro , Kuwamura Mami , Matsugaki Ryutaro , Fujino Yoshihisa , Mori Koji ,   on behalf of the CORoNaWork Project
Published: December 2022

Although the correlation between perceived organizational support (POS) and work engagement has been investigated in several studies, the relationship between health-focused POS and work engagement has not been clarified. We prospectively evaluated the influence of workers’ POS for infection prevention (POS-IP) on employees’ work engagement. This prospective cohort study was conducted from December 2020 (baseline) to December 2021 (1-year follow-up) using a self-administered internet questionnaire. At follow-up, there were 18,560 respondents, and after excluding 6677 respondents who had changed jobs or retired since baseline or who were self-employed; thus, 11,883 participants were included in the analysis. We asked participants a single question on POS-IP and the three-item Utrecht Work Engagement Scale (UWES-3), and then analyzed the relationship between POS-IP at baseline and UWES-3 at follow-up using multilevel regression analysis. Work engagement at follow-up was significantly higher in the groups with “low”, “high”, and “very high” POS-IP at baseline as compared with the “very low” group (all, p < 0.001). A dose-response relationship was also observed between the POS-IP categories at baseline and work engagement at follow-up (p for trend < 0.001). During the COVID-19 pandemic, POS-IP can increase work engagement after 1 year.
Dying during the COVID-19 Pandemic in Sweden: Relatives’ Experiences of End-of-Life Care (the CO-LIVE Study)
Authors: Hedman Christel , Fürst Carl Johan , Rasmussen Birgit H. , van der Heide Agnes , Schelin Maria E. C.
Published: December 2022

Background: The COVID-19 pandemic has seen many deaths, but the majority were for causes other than COVID-19. However, end-of-life care in all settings has been affected by measures limiting the spread of the virus, for patients with and without COVID-19. The Swedish coronavirus strategy was different compared to many other countries, which might have affected end-of-life care. The aim was to describe the experiences of end-of-life care for bereaved relatives in Sweden during the “first wave” and to compare the experiences for deaths due to COVID-19 with the experiences for deaths for other reasons. Methods: A random sample of addresses for 2400 people who died during March–September 2020 was retrieved from the Swedish Person Address Registry. Relatives were contacted with a questionnaire regarding their experience of end-of-life care, with a focus on communication, participation, and trust. Results: In total, 587 relatives (25% response rate) answered the questionnaire (14% COVID-19-deaths, 65% non-COVID-19-deaths, 21% uncertain). In the COVID-19 group 28% of the relatives were allowed visits without restrictions compared to 60% in the non-COVID-19 group (p < 0.01). Only 28% of the relatives in the COVID-19 group reported that the person received “enough care from physicians”, significantly fewer than the non-COVID group (65%, p < 0.01). Conclusion: Relatives’ experience of end-of-life care for persons with COVID-19 was significantly worse than relatives of persons without COVID-19, but relatives for persons without COVID-19 were also negatively affected.
Increases in Ambulance Call Volume Are an Early Warning Sign of Major COVID-19 Surges in Children
Authors: Kienbacher Calvin Lukas , Tanzer Joshua Ray , Wei Guixing , Rhodes Jason M. , Roth Dominik , Williams Kenneth Alan
Published: December 2022

Background: Infectious diseases, including COVID-19, have a severe impact on child health globally. We investigated whether emergency medical service (EMS) calls are a bellwether for future COVID-19 caseloads. We elaborated on geographical hotspots and socioeconomic risk factors. Methods: All EMS calls for suspected infectious disease in the pediatric population (under 18 years of age) in Rhode Island between 1 March 2018 and 28 February 2022 were included in this quasi-experimental ecological study. The first of March 2020 was the beginning of the COVID-19 pandemic. We used the 2020 census tract and the most recent COVID-19 data. We investigated associations between pediatric EMS calls and positive COVID-19 tests with time series analysis and identified geographical clusters using local indicators of spatial association. Economic risk factors were examined using Poisson regression. Results: We included 980 pediatric ambulance calls. Calls during the omicron wave were significantly associated with increases in positive COVID-19 tests one week later (p < 0.001). Lower median household income (IRR 0.99, 95% CI [0.99, 0.99]; p < 0.001) and a higher child poverty rate (IRR 1.02, 95% CI [1.02, 1.02]; p < 0.001) were associated with increased EMS calls. Neighborhood hotspots changed over time. Conclusion: Ambulance calls might be a predictor for major surges of COVID-19 in children.
The Landscape of Cigar Marketing in Print Magazines from 2018–2021: Content, Expenditures, Volume, Placement and Reach
Authors: Ganz Ollie , Wackowski Olivia A. , Gratale Stefanie , Chen-Sankey Julia , Safi Zeinab , Delnevo Cristine D.
Published: December 2022

Cigar consumption has increased in the U.S. over the past decade, yet gaps remain in research on cigar promotion in print magazines. This study examines ad placement, volume, ad characteristics, and associated expenditures for cigars from 2018–2021, and readership data for magazines containing cigar ads. We merged content analysis data with Kantar Media data on magazine placement and expenditures and used magazine readership data from MRI-Simmons. The only brand in print magazines was Black & Mild (B & M), a top cigar brand in the U.S. There were 30 unique B & M magazine ads and 284 occurrences (i.e., appearances in magazines), translating to $46,504,578 in expenditures. All ads featured the word “enjoy/enjoyment” and a warning label. Filtered cigars were the most featured cigar type (75%) and sweets was the most featured flavor (78%). Nearly half of the publications in which B & M were advertised in have substantial Black/African American readership and were featured in publications with disproportionate young adult and Hispanic/Latino readership. This study identified tactics used in print advertising for a top cigar brand. Future research should examine how these tactics impact consumer perceptions. Findings of cigar ads reaching vulnerable populations may inform the FDA’s efforts to reduce health disparities through regulations and public education.
How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China
Authors: Guo Xiaolin , Shi Guanming , Zheng Linyi , Qian Wenrong
Published: December 2022

The active land rental market affects inter-household efficiency. Using nationally representative household panel data in China from 2017 to 2019, we estimate rural household efficiency with consideration of diversification, and analyze the effect of land rental market participation on household efficiency using a control function approach. Results show that: (1) the mean technical efficiency and allocative efficiency were 0.45 and 0.64 in 2017 and 0.44 and 0.66 in 2019, respectively, suggesting the existence of efficiency loss; (2) land rented-in activities improve rural households’ technical efficiency but not allocative efficiency; (3) land rented out activities decrease household technical efficiency but increase allocative efficiency. Further analysis showed that farm size heterogeneity might be the main reason for the efficiency difference. Households with large farms and plot sizes on rented land have significant advantages in technical efficiency and insignificant impacts on allocative efficiency. The results explain why the land rental market promotes efficient land transfer, but households with a large farm size are still rare in rural areas. Finally, we provide suggestions on how to stimulate the land rental market under diversification circumstances.
Moderate-Vigorous Physical Activity, Family Support, Peer Support, and Screen Time: An Explanatory Model
Authors: Sanz-Martín Daniel , Ubago-Jiménez José Luis , Ruiz-Tendero Germán , Zurita-Ortega Félix
Published: December 2022

It is important to investigate how the different factors of physical activity and screen time influence each population group in order to design effective proposals for health promotion. This study aims to: (1) create an explanatory model to establish the relationships between moderate-vigorous physical activity time, screen time, family support, and peer support of adolescents in the region of Soria (Spain); (2) contrast the explanatory structural model according to the intensity of physical activity. A representative sample of 694 adolescents, aged 12–17 years, from the region of Soria was selected. The Four by One-Day Physical Activity Questionnaire, the Parent Support Scale, and the Peer Support Scale were administered. The data were treated according to a structural equation model to demonstrate the relationships between the study variables. The Chi-square p-values and standardised fit indices (CFI, NFI, IFI, TLI, and RMSEA) were appropriate. Moreover, acceptable parameters were obtained in the general equations. The theoretical model is useful to explain the relationships between moderate-vigorous physical activity, family support, peer support, and screen time. In addition, models that differentiate between moderate and vigorous physical activity independently are also useful. Peer support plays a particular role relative to physical activity time, and family support plays a specific role regarding screen time.
Validation of the Spanish Version of the Fear of COVID-19 Scale (FCV-19S) in Long-Term Care Settings
Authors: Cárdenas Soriano Pilar , Rodriguez-Blazquez Carmen , Forjaz Maria João , Ayala Alba , Rojo-Perez Fermina , Fernandez-Mayoralas Gloria , Molina-Martinez Maria-Angeles , de Arenaza Escribano Carmen Perez , Rodriguez-Rodriguez Vicente
Published: December 2022

Fear of coronavirus disease 2019 (COVID-19) is one of the main psychological impacts of the actual pandemic, especially among the population groups with higher mortality rates. The Fear of COVID-19 Scale (FCV-19S) has been used in different scenarios to assess fear associated with COVID-19, but this has not been done frequently in people living in long-term care (LTC) settings. The present study is aimed at measuring the psychometric properties of the Spanish version of the FCV-19S in residents in LTC settings, following both the classical test theory (CTT) and Rasch model frameworks. The participants (n = 447), aged 60 years or older, were asked to complete the FCV-19S and to report, among other issues, their levels of depression, resilience, emotional wellbeing and health-related quality of life with validated scales. The mean FCV-19S score was 18.36 (SD 8.28, range 7–35), with higher scores for women, participants with lower education (primary or less) and higher adherence to preventive measures (all, p < 0.05). The Cronbach’s alpha for the FCV-19S was 0.94. After eliminating two items due to a lack of fit, the FCV-19S showed a good fit to the Rasch model (χ2 (20) = 30.24, p = 0.019, PSI = 0.87), with unidimensionality (binomial 95% CI 0.001 to 0.045) and item local independency. Question 5 showed differential item functioning by sex. The present study shows that the FCV-19S has satisfactory reliability and validity, which supports its use to effectively measure fear in older people living in LTC settings. This tool could help identify risk groups that may need specific health education and effective communication strategies to lower fear levels. This might have a beneficial impact on adherence to preventive measures.
A Qualitative Study to Understand the Impact of Caring for Traumatic Injury Survivors
Authors: Hudson Catherine , Radford Kate , Kettlewell Jade
Published: December 2022

Background: Following traumatic injury, an informal carer is often required to support recovery. Understanding the impact of caregiving is important to inform intervention design. Aim: to explore the impact of caring on family and caregiver finances, employment, social life, and psychological wellbeing. Method: Semi-structured interviews conducted with carers of traumatic injury survivors. Interviews were audio recorded, transcribed and thematically analysed, informed by the Roy Adaptation Model (RAM) and International Classification of Functioning, Disability and Health (ICF). Results: Ten participants were interviewed. Key themes included (1) financial impact/employment issues, (2) relationships and support and (3) psychological impact. Most carers did not receive professional support with daily care post-discharge. Carers’ employers responded positively, supporting them even after extensive leave. Carers received inconsistent communication whilst visiting trauma survivors in hospital; carers with healthcare experience were favoured. Navigating and receiving benefits was complex. Some carers found it difficult to accept the trauma survivor’s injury, whilst others focused on achieving goals. Conclusions: Support from professional services is limited outside hospital settings for non-brain injuries. Future interventions and healthcare services should acknowledge the lack of psychological support for carers. Researchers should consider using the ICF/RAM when designing interventions to ensure the full impact on carers is addressed.