bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and psychometric evaluation of the High-Risk Pregnancy Well-being Index
Authors: Mirzakhani Kobra , Khadivzadeh Talat , Faridhosseini Farhad , Ebadi Abbas 
Published: July 2022

Abstract
Introduction: Assessment of well-being in high-risk pregnancy (HRP) is the key to achieve positive maternal and fetal outcomes. Although there are a wide range of instruments for well-being assessment, none of them is comprehensive for well-being assessment in HRP. The present study aimed at the development and psychometric evaluation of the High-Risk Pregnancy Well-Being Index (HRPWBI). Methods: This methodological study was conducted using the Waltz’s four-step method. The dimensions of well-being in HRP were determined based on a conceptual model and the blueprint and the item pool of HRPWBI were developed. Then, the face and the content validity were assessed and item analysis was performed. Construct validity was also assessed through exploratory factor analysis with principal component analysis on the data obtained from 376 women with HRP. Finally, internal consistency, test-retest stability, sensitivity, and interpretability of HRPWBI were assessed. Findings: The content validity index of HRPWBI was 0.91. In factor analysis, 33 items were loaded on seven factors which explained 53.771% of the total variance. Internal consistency, relative stability, absolute stability, sensitivity, and interpretability of HRPWBI were confirmed with a Cronbach’s alpha of 0.837, a test-retest intraclass correlation coefficient of 0.974, a standard error of measurement of 0.92, a minimal detectable change of 8.09, and a minimal important change of 2.92, respectively. Conclusion: HRPWBI is a valid and reliable instrument for well-being assessment among women with HRP. It can be used to assess well-being and the effects of well-being improvement interventions on well-being among women with HRP.
Data-constrained analytical model for the propagation of a penny-shaped hydraulic fracture under true triaxial stresses
Authors: Feng Runhua , Sarout Joel , Dautriat Jeremie , Zhang Jiecheng , Roshan Hamid , Rezaee Reza , sarmadivaleh mohammad 
Published: July 2022

Abstract
Hydraulic fracturing is a coupled multi-physics and scale-dependent process requiring an extensive numerical-laboratory appraisal to assess feasibility in the field. Developing a robust model of hydraulic fracture propagation requires knowledge of the time evolution of the fracture’s geometrical attributes, e.g., width/aperture and length/radius. However, it is inherently challenging to directly measure even the simplest fracture attribute (i.e., radius) within a rock sample subjected to in-situ stresses in the laboratory, let alone in the field. In this study, an analytical model is developed to predict the time evolution of the radius for a penny-shaped hydraulic fracture. This model (Rd) predicts the fracture opening and internal pressure gradient using Poiseuille’s law and assuming a self-similar propagation. Scaling laws and dimensional analysis are used to define propagation regimes; and non-linear hydro-mechanical coupling is accounted for in the near-tip region. We also quantify the growth of the fracture radius using linear elastic fracture growth model (RE); and tip asymptotic solutions (RV and RT). A comparison of the three analytical models with published experimental data reveal that (i) the asymptotic solutions are limited to linearly elastic and homogeneous materials, i.e., PMMA; (ii) the performance of the linear elastic model (RE) poorly matches the experimental data, especially for unstable propagation situations; (iii) the new Rd model takes advantage of a robust reconstruction of the temporal radius growth of hydraulic fracture problems under realistic stress conditions, and including multiscale propagation regimes, cohesive effects, as well as stable and unstable propagation regimes of geomaterials.
Rapid morphological shifts in a co-invaded assemblage of lizards
Authors: Phillips John G. , Hagey Travis J. , Hagemann Molly , Gering Eben 
Published: July 2022

Abstract
Phenotypic change plays diverse and crucial roles in biotic invasion, but most studies of invasions focus on individual species. To compare ecomorphological changes among co-invading species with overlapping native niches, we examined three lizards on the island of O‘ahu: (Anolis carolinensis, A. sagrei, Phelsuma laticauda). Using specimens from three decades of unfolding invasions obtained from museum collections and the field, we quantified temporal shifts in three ecologically relevant traits: snout vent length (SVL), forelimb-, and hindlimb-length (limb lengths relative to SVL). We found unique patterns of phenotypic change in each species as well as sex-specific changes within species: 1) both anole species increased in SVL since the 1980s, 2) forelimb length increased in Phelsuma females and in both sexes in A. carolinensis, and 3) relative hindlimb length increased in Phelsuma (both sexes) and decreased in A. sagrei (both sexes). The observed changes involve ecomorphological traits that are feasibly consequential to invasion dynamics. Our study illustrates how museum- and field-based research can be integrated to document nuanced temporal patterns in the phenotypes of co-invading species that share similar niches in their native ranges; it also raises important questions about the underlying process(es) driving species- and sex-specific change in co-invaded systems.
Optical Soliton Solutions of the Conformable Time Fractional Radhakrishnan–Kundu–Lakshmanan Model
Authors: YADAV VIKASH , Gupta Rajesh Kumar 
Published: July 2022

Abstract
In the present study, we have obtained different kinds of wave solutions which possess distinctive physical characteristics of the nonlinear conformable time fractional Radhakrishnan–Kundu–Lakshmanan model by utilizing the generalized Jacobi elliptic function (GJEF) method. 3-D surfaces to some of the reported solutions are plotted and the dependence of the behaviour of the solutions on the fractional derivative has also been analyzed in the present study. In addition to providing physical explanations of Radhakrishnan-Kundu-Lakshmanan equation, the solutions presented here may also provide an insight into the the study of wave propagation in various conformable fractional nonlinear models arising in nonlinear sciences.PACS 42.65.Tg . 02.90.+p . 02.30.JrMSC 2020 35B30 . 35C08 . 26A33
Cavernous hemangioma of the knee, causing pain following a fall in a 5-year-old girl: A case report.
Authors: Alanazi Mohammed Jazaa , AlFaleh Ahmed Faleh 
Published: July 2022

Abstract
Case: Cavernous hemangioma, an uncommon benign vascular lesion, can affect different joints. It generally presents as atraumatic swelling over the joint with normal radiographic findings. We present a case of a healthy 5-year-old girl with chronic knee pain over the anteromedial aspect following minor trauma. Conclusion: The patient underwent all baseline blood investigations and plain radiograph of her knee, all of which were normal. Magnetic resonance imaging showed hemangioma. Surgical excision was performed and histological studies confirmed a cavernous hemangioma. Delayed diagnosis may increase the risk of invading and damaging the joint resulting in further morbidities.
Integrated Flood Studies in Sicily: An Hydro-Geomorphological Approach
Authors: Francesco Silvia Di , carlino martina 
Published: July 2022

Abstract
The present study originates from the need to investigate and monitor rivers in order to manage and mitigate fluvial dynamics and prevent flood adverse effects. The aim is to develop an integrated flood risk management procedure that properly incorporates safety and quality issues, in accordance respectively with Flood Directive and Water Framework Directive (WFD). Flood inundation models (2‐D) were used to develop flood inundation maps that takes into account uncertainty related to modeling process and hazards related to channel dynamics were investigated. Two survey and classification tools, recently developed in the IDRAIM methodology, were tested: the Morphological Dynamics Index (MDI) and the Event’s Dynamics Classification ( EDC ). These latter tools are required for integrating the standard hydraulic analyses used for flood mapping and, therefore, for obtaining an overall more robust and reliable flood risk assessment.Hydraulic simulations and applications of morphological indexes were applied on two different rivers located in Sicily: a highly controlled river, Arena river, and a more dynamic gravel-bed river, Tempio river. Specifically, the indexes were used to identify portions of river interested by morphologic variability. Based on obtained results, interventions addressed to mitigate fluvial dynamics and prevent flood adverse effects were designed.
Case Report: Pasteurella Multocida as a Pathogen of Peritonitis
Authors: Maksymyuk Valentina , Rao Edwina , Sarvepalli Satish 
Published: July 2022

Abstract
Although there are several published case reports of Pasteurella multocida bacterial peritonitis in patients on ambulatory peritoneal dialysis and patients with liver cirrhosis and ascites, it is a rare occurrence. In this article, we present another case of Pasteurella multocida peritonitis in a patient dependent on peritoneal dialysis. The patient owned two pet cats and we suspect the cats were a source for the infectious pathogen. She was treated with IV ampicillin-sulbactam, intraperitoneal ceftazidime, and transitioned to oral amoxicillin-clavulanate. Peritonitis accounts for a significant percentage of patient deaths among peritoneal dialysis patients. We emphasize the importance of starting the patient on appropriate antibiotics, educating the patient on appropriate hygiene of peritoneal dialysis equipment, and situations that necessitate possible removal of the peritoneal dialysis catheter.
Recurring Suboptimal Choices Result in Superior Decision Making
Authors: Traczyk Jakub , Mondal Supratik , Lenda Dominik 
Published: July 2022

Abstract

In real-life situations involving risk and uncertainty, optimal policy hinges on selecting a course of action characterized by the highest expected value (i.e., future outcomes weighted by their probabilities). Nevertheless, a vast body of findings from economic and psychological studies indicate that people rarely follow this principle and make suboptimal choices. In the current research, we tested a hypothesis that recurring suboptimal choices result in superior decision making. In one simulation study and three well-powered (N = 1,046) fully-incentivized empirical studies, we demonstrated that people who traded off their decision accuracy for the number of possible choices performed better (i.e., they earned more money) than those who made optimal decisions in terms of maximizing the expected value. Our results demonstrate that decision makers can adapt to the requirements of a decision task. They are inclined to make more suboptimal decisions, resulting in better overall performance than normatively better choices.
Image-based Finite-time Visual Servoing of a Quadrotor for Tracking a Moving Target
Authors: He Wei , Yuan Liang 
Published: July 2022

Abstract
This paper proposes an image-based visual servoing control method for a moving target of a quadrotor UAV (QUAV). Firstly, the dynamic image model with moving target parameters is established based on the image moment features in the virtual camera plane. For the unpredictability of the moving target in space, we use a high-order differentiator to estimate the state parameters of the moving target. In order to solve the problem of image depth information caused by a monocular camera, we derive a nonlinear finite-time linear velocity observer from the virtual image plane, which can not only estimate the linear velocity information of QUAV but also avoid the measurement of image depth. Based on the above information, we design the global finite-time controller and use Lyapunov theory to prove the finite-time stability of the system. Finally, the numerical simulations verify the convergence of the proposed control scheme, and the ROS gazebo simulations demonstrate the improved performance of the proposed control scheme in tracking error.
Energy and Exergy Analysis of an Open-Aperture Partially Evacuated Receiver with Internal Twisted Inserts in Solar Parabolic Trough Reflectors
Authors: Avargani Vahid Madadi , Zendehboudi Sohrab 
Published: July 2022

Abstract
To prevent major problems caused by highly non-uniform solar flux distribution on the surface of the receiver in trough collectors, a partially open-aperture evacuated receiver (OAER) with a twisted internal insert is introduced, and its performance is compared to that of conventional evacuated receivers (CERs). The CFD simulation results show that the proposed receiver has a more uniform solar flux distribution, and consequently greater energy and exergy efficiencies compared to CERs. The daily average exergy efficiency of an OAER with 10 blades is about 27.8% higher than a CER without blades. The daily average exergy efficiency of a CER is obtained to be about 7.55%, while it decreases to 7.42% for a CER with 6 blades due to larger exergy destruction caused by air pressure drop. The introduced design for the receiver acts as a fluid turbulator, offers a higher potential for efficient absorption of solar energy (proper sensible heat storage device), leads to a more appropriate distribution of temperature gradient inside the absorber, and is in direct contact with the goal stream and provides more useful contact area, and shifts the maximum temperature on the outer surface of the CERs to the internal surface and reduces radiative losses.
Identification of soybean CNGC gene family and screening of root rot resistance genes
Authors: Cui Yu xing , Wang Jing xuan , Bai Ying xue , Ban Li ping , Ren Jun da , Shang Qiao xia , Li Wei yu 
Published: July 2022

Abstract
Cyclic nucleotide-gated channels (CNGCs) are non-selective cation channels localized on the plasmalemma, which are involved in the growth and development as well as the regulatory mechanism in adversity of a plant. In this study, a total of 143 CNGC genes in legumes were identified and divided into four groups according to the grouping method of Arabidopsis thaliana for evolutionary analysis. According to the phylogenetic relationship with CNGCs in Arabidopsis thaliana, we assigned the names for all individual CNGC members. The CNGC genes in soybean are localized on chromosomes with a relatively random distribution. And all CNGC genes show similar conserved motifs and gene structures, especially the closer the homology, the higher the similarity. The identification of cis-elements well illustrates the key role of CNGC genes in adversity stress. The functional verification results of disease stress showed that four GmCNGCs were specifically expressed in the plasmalemma position during the stress process, and through functional enrichment, it was found that the mode of its participation and coordination is to regulate the concentration of inorganic ions inside and outside the membrane through the transmembrane ion channel. In this paper, CNGC family genes in soybean were identified, and those involved in disease stress were screened combined with physiological stress response and omics analysis, preliminarily revealing the basic laws of CNGCs involved in the disease and stress resistance of soybean, and providing important gene resources and theoretical reference for resistance breeding of soybean.
ZnO-doped PFPAMA: a novel transparent conducting polymer for fast photodiodes
Authors: Ocaya Richard , Erol Ibrahim , Al-Sehemi Abdullah G , Dere Aysegul , Al-Ghamdi Ahmed A , Yakuphanoglu Fahrettin 
Published: July 2022

Abstract
In this article, a new Schottky diode based on a transparent conducting polymer 2-(4-fluorophenyl)-2-oxoethyl-2-methylprop-2-enoate (PFPAMA) that is doped up to 5% with ZnO is presented. PFPAMA is a promising transparent polymer that is inclined towards n-type behavior with the potential to be used as an electron transport layer. Each device had the Al/p-Si:(PFPAMA:ZnO)/Al structure. The diode ideality factor was found to depend on bias and illumination but the calculated interface state density is lower than for most reported Al/p-Si diodes, suggesting that the presence of the polymer suppresses interface states. The measured electrical and photo response characteristics confirm that the resulting diodes are suitable for fast photodiodes over the intensity range of dark to 100 mW/cm2 whose performance is optimizable by ZnO doping.
Forecasting hourly intermittent rainfall by deep belief networks with simple exponential smoothing
Authors: Huang Guo-Yu , Lai Chi-Ju , Pai Ping-Feng 
Published: July 2022

Abstract
Accurate rainfall forecasting is essential and useful in planning and managing water resource systems efficiently. The intermittent rainfall patterns increase the difficulty of accurately forecasting rainfall values. Recently, deep learning techniques have been popular and powerful in the forecasting area. Thus, this study employs deep belief networks with a simple exponential smoothing procedure (DBNSES) to forecast hourly intermittent rainfall values in Taiwan. Weather factors are used as independent variables to forecast rainfall volume. The simple exponential smoothing data preprocessing procedure is used to deal with the intermittent data patterns. Other three forecasting models, namely the least squares support vector regression (LSSVR), the generalized regression neural network (GRNN), and the back propagation neural network (BPNN), are employed to forecast rainfall with the same data sets. In addition, genetic algorithms are utilized to determine the parameters of four forecasting models. The empirical results indicate that the developed DBNSES models are superior to the other forecasting models in terms of forecasting accuracy. In addition, the DBNSES can obtain smaller values of RMSE than the previous studies. Therefore, the DBNSES model is a suitable and effective way of forecasting rainfall with intermittent data patterns.
Spatial-temporal phenological asynchrony induced by climate change threatens the integrity of the avian migration network
Authors: Wei Jie , Cole Eleanor , Sheldon Ben , de Boer Willem , Wielstra Ben , Xu Fei , Gong Peng , Si Yali 
Published: July 2022

Abstract
Phenological responses to climate change frequently vary among trophic levels, which can result in increasing mismatch between the peak energy requirements of consumers and the availability of resources. Migratory birds use multiple habitats with seasonal food resources along traditional migration flyways. Spatially heterogeneous climate changes could cause this phenology of food availability along the migration flyway to become mismatched. This so-called spatial-temporal phenological asynchrony could pose a challenge by reducing food intake along the migration path and consequently influencing survival and reproduction. We develop a novel graph-based approach to quantify this problem and deploy it to evaluate the risks of, and the drivers behind, the spatial-temporal phenological asynchrony for 16 migratory herbivorous waterfowl species in Asia. We show that climate change-induced spatial-temporal phenological asynchrony could cause in average 48% loss of migration network connectivity for all study species. Species that winter at a lower latitude or that have a wider migration corridor are subjected to higher risk to the integrity of their migration network. These findings highlight the susceptibility of migratory species to climate change, and our proposed methodological framework could be applied to migratory species in general and contribute to formulate targeted actions for biodiversity conservation in the face of climate-related risks.
Major concerns of surface water quality in south-west coastal regions of Vietnamese Mekong Delta
Authors: Nguyen Giao Thanh , Phan Kim Anh , Huynh Thi Hong Nhien 
Published: July 2022

Abstract
This study aimed to appraise seasonal variations in surface water quality on the coasts of Southwestern Vietnam using entropy-weighted water quality index (EWQI) and multivariate statistics: cluster analysis (CA), principal component analysis (PCA), and discriminant analysis (DA). Forty-nine samples monitored in Kien Giang province during the rainy and dry seasons were analysed for 16 physiochemical and biological parameters. Compared to the Vietnamese standard, surface water quality in the study areas was contaminated with organic matter (high BOD and COD), nutrients (high NH4+-N, NO2ˉ-N, and PO43ˉ-P), TSS, Fe, and coliform. Seasonal variations in surface water quality in the coastal regions were observed. TSS, organic matter and microbial problems in water bodies tend to be more serious in the rainy seasons due to an increase in water flow containing pollutants from the upstream and wastes from regional human activities. Meanwhile, the salinity in the dry season (0-31.8 ‰) was greatly higher, which caused only 10% of samples to be suitable for irrigation. CA extracted 11 and 13 clusters from 49 locations in the dry and rainy seasons, respectively. 5PCs obtained from PCA can explain 74.79% and 70.34% of total water quality variations in dry and rainy seasons, respectively. Moreover, the results of PCA suggested that natural factors (hydrological regimes, temperature, rainfall, sea-level rise) and human sources (domestic, agriculture, industry, and tourism) are accountable for these fluctuations. DA extracted 7 parameters (pH, TSS, salinity, Fe, NO3ˉ-N, NH4+-N, and Clˉ) for leading the difference in water quality, with 87.76% of correct assignation. EWQI revealed that 65.5% of total samples were classified as a very bad quality for drinking in the dry season. However, this ratio declined to 59.2% in the rainy season. Although the surface water quality was slightly improved during the rainy season, organic matter and microbial pollution need to be concerned. The findings of this study can provide insights into seasonal variations in surface water with the application of multivariate statistics and EWQI, which could support policymakers in developing water management strategies.
Mercury and selenium concentrations in the oysters Saccostrea palmula and Crassostrea corteziensis from coastal lagoons of Northwest Mexico and the risk assessment on human health
Authors: Sepúlveda Carlos H. , Gonzalez Maria I. Sotelo , Ulloa Manuel García , Gómez Andrés M. Góngora , Alonso Laura G. Espinosa , Martínez Carmen C. Osuna , Cárdenas Rebeca Sánchez 
Published: July 2022

Abstract
The toxicity of mercury (Hg) in bivalves can be reduced when it is associated with selenium (Se) as mercury selenide, a stable non-toxic compound. Mercury and Se were seasonally studied (summer 2019-spring 2020) in the soft tissue of oysters Saccostrea palmula and Crassostrea corteziensis from four coastal lagoons of Northwest Mexico. The higher Hg concentration (≈ 0.13 µg g−1, wet weight) in both oyster species were obtained in summer−autumn 2019. Mercury level was similar among the coastal lagoons and did not exceed the limit established by the Norma Official Mexicana, the World Health Organization, and the Food and Drug Agency (< 1.0 μg g−1 Hg). The higher Se concentration (≈ 4.55 µg g−1) occurred in spring 2020 for both oyster species. Regarding Se/Hg molar ratios, they were above 1; the positive selenium health benefit value index suggested that Se concentration in oysters could reduce the potential toxic effect of Hg; and the hazard quotient for Hg (methylmercury) and Se in both species was below 1. Therefore, the consumption of S. palmula and C. corteziensis not represented a risk due to Hg ingestion. Continuous monitoring of the Se/Hg ratio is recommended in oysters from NW Mexico for a more precise assessment of human health risk.