bluuebunny/crossref_metadata_2025 huggingface dataset:
Reducing ageism toward older adults and highlighting older adults as contributors during the COVID‐19 pandemic
Authors: Lytle Ashley , Levy Sheri R.
Published: August 2022

The COVID‐19 pandemic exacerbated ageism (stereotyping, prejudice, and discrimination) toward older adults in the United States, highlighting the belief that older adults are a burden. Prior to the pandemic, a growing body of research sought to reduce ageism using the PEACE (Positive Education about Aging and Contact Experiences) model. Extending that research, participants were randomly assigned to watch three videos (less than 10 min total) that challenged stereotypes about aging and older adults, depicted positive intergenerational contact, and highlighted older adults as contributors to society (experimental condition) or three videos on wallpaper (control condition). Experimental participants (undergraduate students in Study 1 and a national community sample of young adults in Study 2) reported increased endorsement of older adults as contributors to society and positive stereotypes of older adults. In addition, in Study 2, negative stereotypes of older adults and views of intergenerational conflict were also reduced among experimental (vs. control) participants. These promising findings show that relatively brief ageism reduction interventions are effective during the pandemic and for the first time, that the perception of older adults as contributors to society can be increased. Future directions and implications for social policies are discussed.
Chronic developmental hypoxia alters mitochondrial oxidative capacity and reactive oxygen species production in the fetal rat heart in a sex‐dependent manner
Authors: Smith Kerri L. M. , Swiderska Agnieszka , Lock Mitchell C. , Graham Lucia , Iswari Wulan , Choudhary Tashi , Thomas Donna , Kowash Hager M. , Desforges Michelle , Cottrell Elizabeth C. , Trafford Andrew W. , Giussani Dino A. , Galli Gina L. J.
Published: August 2022

Insufficient oxygen supply (hypoxia) during fetal development leads to cardiac remodeling and a predisposition to cardiovascular disease in later life. Previous work has shown hypoxia causes oxidative stress in the fetal heart and alters the activity and expression of mitochondrial proteins in a sex‐dependent manner. However, the functional effects of these modifications on mitochondrial respiration remain unknown. Furthermore, while maternal antioxidant treatments are emerging as a promising new strategy to protect the hypoxic fetus, whether these treatments convey similar protection to cardiac mitochondria in the male or female fetus has not been investigated. Therefore, using an established rat model, we measured the sex‐dependent effects of gestational hypoxia and maternal melatonin treatment on fetal cardiac mitochondrial respiration, reactive oxygen species (ROS) production, and lipid peroxidation. Pregnant Wistar rats were subjected to normoxia or hypoxia (13% oxygen) during gestational days (GDs) 6–20 (term ~22 days) with or without melatonin treatment (5 µg/ml in maternal drinking water). On GD 20, mitochondrial aerobic respiration and H2O2 production were measured in fetal heart tissue, together with lipid peroxidation and citrate synthase (CS) activity. Gestational hypoxia reduced maternal body weight gain (p < .01) and increased placental weight (p < .05) but had no effect on fetal weight or litter size. Cardiac mitochondria from male but not female fetuses of hypoxic pregnancy had reduced respiratory capacity at Complex II (CII) (p < .05), and an increase in H2O2 production/O2 consumption (p < .05) without any changes in lipid peroxidation. CS activity was also unchanged in both sexes. Despite maternal melatonin treatment increasing maternal and fetal plasma melatonin concentration (p < .001), melatonin treatment had no effect on any of the mitochondrial parameters investigated. To conclude, we show that gestational hypoxia leads to ROS generation from the mitochondrial electron transport chain and affects fetal cardiac mitochondrial respiration in a sex‐dependent manner. We also show that maternal melatonin treatment had no effect on these relationships, which has implications for the development of future therapies for hypoxic pregnancies.
MicroRNA sequence and function analysis in peri‐implantitis and periodontitis: An animal study
Authors: Zhang Hongming , Yuan Yun , Xue Hanxiao , Yu Runping , Huang Hui
Published: August 2022

Objective

To compare miRNA expression levels and predict relevant target genes and signaling pathways in peri‐implantitis and periodontitis.

Background

There are many differences between periodontitis and peri‐implantitis. An understanding of the similarities and differences in the transcriptional patterns of these diseases, as well as the molecular mechanisms, is beneficial for the development of management strategies.

Materials and methods

Rat models of periodontitis (PD, n = 6) and peri‐implantitis (PI, n = 5) were established by ligation. Implantation without ligation (PIC, n = 5) and normal rats (PDC, n = 6) were used as controls. Micro‐CT was used to confirm the successful establishment of the model. Gingiva was harvested for miRNA transcriptome sequencing, and the results were confirmed by qRT–PCR. miRNA target genes were predicted with miRTarBase. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed.

Results

Sixty‐nine miRNAs were differentially expressed in PI vs. PD, 105 were differentially expressed in PI vs. PIC, and 70 were differentially expressed in PD vs. PDC (log2FC ≥1 and padj <0.05). The upregulated genes in all three comparisons were mostly involved in the biological process response to stimulus, whereas most of the downregulated genes were involved in nervous system development (p < .01). The upregulated genes in PI vs. PD and PI vs. PIC were involved in Toll‐like receptor signaling and RIG‐I‐like signaling. The upregulated genes in PI vs. PD were involved in T‐ and B‐cell receptor signaling, apoptosis, and osteoclast differentiation. Focal adhesion was downregulated in all three comparisons, and adherens junction was downregulated in PI vs. PD and PD vs. PDC (p < .1).

Conclusion

This study showed differences in the miRNA expression profiles between peri‐implantitis and periodontitis and annotated the possible target genes and molecular mechanisms; this study could lay a foundation for the development of management strategies.
Does YouTube™ provide reliable information on oral candidiasis?
Authors: Ceylan Şen Seval , Paksoy Tuğçe , Göller Bulut Duygu , Ustaoğlu Gülbahar
Published: August 2022

Objective

To evaluate the quality, source, usefulness and/or reliability, visibility, and popularity of YouTube™ videos on oral candidiasis.

Materials and Methods

A YouTube™ search for “oral candidiasis” was performed, setting the English language. 133 of the 351 videos watched were included in the study. Two periodontologists scored the videos for visibility, popularity, quality, utility, and reliability. Videos' quality was evaluated using the DISCERN and the Global Quality Scale (GQS) tools, by categorizing them through quality assessment, source, duration, views, likes, and dislikes of each video were noted.

Results

82.7% of the videos were moderately or very useful, and the GQS scores were mostly good (41.4%‐Score 4) and excellent (42.1%‐Score 5). Significant relationships were obtained between Source of Upload, Video Type, Total Discern, and GQS variables and Usefulness scores (p < 0.05). The 53.4% of the video sources were Healthcare professionals and their video usefulness scores were mostly “moderately useful” (47.9%) and “very useful” (%42.3). There was a significant positive correlation between the usefulness scores of the videos and the number of likes (p = 0.004), comments (p = 0.019), and the viewing rate (p = 0.006).

Conclusions

The videos that rank high in searches for oral candidiasis on YouTube™ are mostly useful and comprehensive videos uploaded for educational purposes.
Co‐culture of faba bean with wheat provides evidence for intercropping faba bean to alleviate the occurrence of Fusarium wilt under the autotoxic stress of salicylic acid
Authors: Li Yu , Luo Chaosheng , Lv Jiaxing , Chen Ling , Dong Kun , Dong Yan
Published: August 2022

The goals of this study were to evaluate the role of salicylic acid (SA) in causing autotoxic stress in the faba bean root system and explore how the co‐culture of faba bean (Vicia faba) with wheat (Triticum aestivum) alleviates this stress. We designed a hydroponic pot experiment to study the effects of exogenous SA on the occurrence of Fusarium wilt, seedling growth, physiological resistance of faba bean and pathogenicity of Fusarium oxysporum f. sp. fabae (FOF). The results showed that SA significantly increased the incidence and disease index of faba bean Fusarium wilt, inhibited the growth of seedlings and reduced the physiological resistance of faba bean. An in vitro study of FOF found that SA increased the ability of the organism to produce fusaric acid, cellulase and pectinase, which increased the susceptibility of faba bean to Fusarium wilt. Interestingly, co‐cultivation with wheat significantly reduced the content of SA in exudates from the faba bean roots, which directly reduced the deleterious effects of SA. In addition, co‐cultivation could increase the activity of peroxidase and catalase, reduce the content of malondialdehyde, thus improving the ability of faba bean to defend itself. In conclusion, we found that SA, as an autotoxic substance, aggravates the occurrence of Fusarium wilt on faba bean and affects the growth of this crop. However, co‐cultivation of faba bean with wheat could alleviate this autotoxicity. This study has discovered a possible mechanism that could explain how co‐cultivation can alleviate the obstacles in cropping systems and control Fusarium wilt.
Restoration of subtropical grasslands degraded by non‐native pine plantations: effects of litter removal and hay transfer
Authors: Porto Ana B. , do Prado Marco A. P. F. , Rodrigues Lucas dos S. , Overbeck Gerhard E.
Published: August 2022

Pinus plantations create strong ecological legacies that persist after their removal. We evaluated the effectiveness of pine litter removal (manually or through controlled burns) and hay application for the restoration of South Brazilian coastal grasslands degraded by pine plantations. We installed the experiment 1 year after cutting trees and sampled the vegetation 3 months, 1 year, and 2 years after initiating the experiment. We used generalized linear mixed model to assess treatment effects on plant cover, richness, and pine reestablishment. We used nonmetric multidimensional scaling and indicator species analysis to evaluate changes in species composition over time and in the association of individual species with treatments and reference area. Species richness and vegetation cover did not differ between manual and burn treatments but were higher than in the control. Hay application enhanced vegetation cover by the end of the experiment in all treatments. Hay application enhanced richness initially, but after 2 years the effect persisted only in the burn treatment. Burned plots showed less pine establishment than plots with manual litter removal. Hay‐addition plots contained indicator species present in the reference area. Our results suggest that passive restoration (i.e. only cutting of pine) is not sufficient to restore grasslands altered by afforestation, as residual pine litter constrains the reestablishment of native vegetation. In addition to the benefits of litter removal, our results indicate that hay transfer can overcome seed limitation of grassland species and burning can reduce recolonization by pine.
Monetary transmission with income risk*
Authors: Holm Martin B.
Published: August 2022

In periods of distress, observed and perceived income risk tends to rise. Does this heightened income risk affect monetary transmission? This paper first shows that in partial equilibrium, heightened income risk dampens the substitution effect of interest rate changes but amplifies the indirect income effect of wage changes. The effects are sizable in partial equilibrium. An increase in income risk consistent with heightened risk during recessions affects interest rate and wage responses by around one‐third. However, because income risk dampens the effects of interest rate changes but amplifies the effects of wage changes, its effect is weaker in general equilibrium, dampening monetary transmissions to consumption by around 11 percent.
Efficacy, safety and pharmacokinetics of a new 10% normal human immunoglobulin for intravenous infusion, BT595, in children and adults with primary immunodeficiency disease
Authors: Kriván Gergely , Borte Michael , Harris James B. , Lumry William R. , Aigner Silke , Lentze Stephan , Staiger Christiane
Published: August 2022

Background and Objectives

To evaluate the efficacy, safety and pharmacokinetics of a new, highly purified 10% IVIg (BT595, Yimmugo®) administered in children and adults with Primary immunodeficiency diseases (PID).

Materials and Methods

Prospective, uncontrolled, multicentre Phase III trial. Patients aged 2 to <76 years with PID were switched from their pre‐trial IVIg replacement therapy to BT595. In all, 67 patients (49 adults, 18 children) received doses between 0.2 and 0.8 g/kg body weight for approximately 12 months at intervals of 3 or 4 weeks. Dosing and dosing intervals were based on each patient's pre‐trial infusion schedule. The primary end point was the rate of acute serious bacterial infections (SBIs); secondary efficacy, safety and pharmacokinetic outcomes were also evaluated.

Results

The primary efficacy end point was met, and the unadjusted SBI rate was 0.01 per subject‐year (adjusted SBI rate 0.015 per subject‐year, with an upper limit of the one‐sided 99% confidence interval of 0.151). A single adult patient experienced one event classified as an SBI. All secondary end points, including those related to infections, supported the efficacy. Infusion rates were increased up to 8 ml/kg/h. Overall, 8% of infusions were associated with ≥1 infusional adverse event (AE) (start during or within 72 h post‐infusion), comprising mainly headache (2.4%), fatigue (0.9%) and nausea (0.5%). There were no infusional AEs at infusion rates of >4.0 ml/kg/h, and only one patient required a single premedication. The observed patterns, severity and frequency of treatment‐emergent adverse events are consistent with the established safety profile for IVIgs and did not show clinically relevant differences between all age groups.

Conclusion

BT595 is effective, safe and well tolerated for treating patients with PID.
Care bundles for women during pregnancy, labor/birth, and postpartum: a scoping review protocol
Authors: Ryan Theo , Smith Valerie
Published: August 2022

Objective:

This scoping review will identify the existence and type of care bundles developed, evaluated, or used by health care professionals in providing maternity care to women during pregnancy, labor/birth, and postpartum.

Introduction:

Care bundles consist of at least 3 to 5 evidence-based health care interventions that are implemented together in 1 clinical episode, consistently. Care bundle use is predicated on the notion that better clinical outcomes can be achieved when the interventions, often existing as part of standard care, are used collectively rather than in isolation. Although widely adopted in some health care sectors (eg, in critical care), care bundle use during pregnancy, labor/birth, and postpartum appears relatively recent.

Inclusion criteria:

This review will include records on women during pregnancy, labor/birth, and postpartum (up to 6 weeks) as recipients of care bundles applied by a health care professional. Women may be at low or high risk of maternity complications, receiving maternity care in hospital, community, or home settings, in any geographical location. Care bundles applicable to neonates will be excluded.

Methods:

The Maternity and Infant Care, MEDLINE, CINAHL, Embase, and Epistemonikos databases will be searched from 2000 onward. The concepts of “care bundles” AND “maternity care” will underpin the search strings. Language limitations will not be applied, although only records published in English will be included. Two reviewers will independently assess the records for inclusion and extract the data. The findings will be charted using narrative summary text, illustrative tables, and illustrative figures.

Scoping review registration:

Open Science Framework https://osf.io/bdwfy/
A Dimension Reduction-Based Multidisciplinary Design Optimization Method for High Pressure Turbine Blades
Authors: Hu Kaibin , Ju Yaping , Feng Yi , Zhang Chuhua
Published: August 2022

The complex aero-thermal coupling between fluid and solid regions within high-pressure turbines makes it important to perform multidisciplinary design optimization of high-pressure turbine blades. However, most published works failed to consider the correlations between blade profiles and cooling structures that could best compromise the aerodynamic and thermal performance of high-pressure turbine blades, and the related optimization problems were so far limited to single- or bi-objective ones. The critical drawbacks of these available studies are mainly due to the reduced accuracies of the adopted methods when dealing with large numbers of design variables and objectives. To tackle these difficulties, a dimension reduction-based multidisciplinary design optimization method is proposed and validated through an aero-thermal design optimization of the NASA-C3X vane with a total of 39 design variables and five performance objectives. The main novelties of this proposed method lie in a hybrid dimension reduction of design space by means of the proper orthogonal decomposition and global sensitivity analysis methods, as well as the integration of the ensemble surrogate model and the reference vector evolutionary algorithm for optimal solutions. The results show that the prediction accuracy of the ensemble surrogate model for each performance objective is enhanced, even though the dimensionalities of design space are reduced. Complicated compromises exist among the five performance objectives under consideration. For NASA-C3X vane, the optimal design helps reduce irreversible flow losses especially wake losses while reducing the volumes with high-temperature and high-temperature gradient near the trailing edge is mainly responsible for the reduced irreversible losses due to heat transfer. The outcomes of this work are particularly relevant for the advanced design optimization methods for high pressure turbines.
The Application of the Arbitrary-Order Galerkin Reduction Method to the Dynamic Analysis of a Rotor With a Preloaded Single-Pad Foil-Air Bearing
Authors: Ghalayini Ibrahim , Bonello Philip
Published: August 2022

The compressible Reynolds equation (RE) is typically integrated within a fully coupled dynamical foil-air bearings (FABs)-rotor system via spatial Discretization transformation, e.g., finite difference (FD), finite element (FE). An alternative way of integrating the RE is through Galerkin reduction (GR). The motivation for using GR is the computational benefit coming from the drastic condensation of the problem due to the elimination of the two-dimensional grid used for the air film in FD or FE. This paper presents a novel application of arbitrary-order GR to both nonlinear and linearized analyses of rotor systems supported by single-pad FABs with variable radial clearance (preload). Simulations using FD gave a close correlation with those using GR for all preloads, with discrepancies increasing as the preload approaches the nominal clearance (c). The simulations show that the preload has to exceed a certain level in order to delay the onset of instability speed (OIS), and significant delay in OIS and suppression of subsynchronous vibration is possible when the preload is comparable to c. Experimental validation is provided.
Negative ion beam bombardment of a protic ionic liquid: Alleviating surface charging and damage and analyzing the surface of organic insulating materials
Authors: Fujiwara Yukio , Saito Naoaki
Published: August 2022

Positive ion beams are widely used in surface processing and analysis; however, serious surface charging can occur in the case of insulating materials. To address this issue, we investigate bombardment effects of ionic liquid negative ions emitted from the tip of a sharp needle wetted with the protic ionic liquid, diethylmethylammonium trifluoromethanesulfonate. Experimental results show that the potential of an electrically floating metal target bombarded with the ionic liquid negative ions is slightly higher (about 1 V) than that of a front electrode, indicating that the target potential can be controlled by adjusting the potential of a nearby electrode. We also investigate the application of the negative ion bombardment in secondary ion mass spectrometry. Two types of insulating materials, polytetrafluoroethylene and polyethylene glycol, are analyzed. Experimental results show that the negative ion bombardment allows one to analyze organic insulating materials by adjusting sample bias potential, without charge neutralization such as electron flooding. Results obtained show that the ionic liquid negative ion beam is a useful tool for alleviating sample charging and damage because tens of negatively charged low-energy constituent atoms hit a surface locally and simultaneously. The ionic liquid negative ion bombardment is shown to have the advantages of both negative and polyatomic ion bombardment.
Targeting Doublecortin-Like Kinase 1 (DCLK1)-Regulated SARS-CoV-2 Pathogenesis in COVID-19
Authors: Undi Ram Babu , Larabee Jason L. , Filiberti Adrian , Ulahannan Susanna , Aravindan Sheeja , Stroberg Edana , Barton Lisa M. , Duval Eric J. , Mukhopadhyay Sanjay , Henthorn James C. , Akins Darrin , Houchen Courtney W. , Huycke Mark M. , Ali Naushad
Published: August 2022

High mortality in COVID-19 is associated with underlying comorbidities such as chronic liver diseases. Successful treatment of severe/critical COVID-19 remains challenging.
Ruptured angiomyolipoma, a novel entity for emergency physicians in the differential diagnosis of haemorrhagic shock in a female patient of reproductive age
Authors: Sapadin Abby Jo , Girzadas Daniel , Chhabra Darshika , Ahmed Tasneem
Published: August 2022

A woman in her 30s presented to the emergency department with acute onset, progressively worsening left-sided abdominal pain after exercise. She was found to be hypotensive and diaphoretic, with free intraperitoneal fluid detected on bedside point-of-care ultrasound. Resuscitation was initiated, a presumptive diagnosis of ruptured ectopic pregnancy was made, and obstetrics and gynaecology were consulted. Point-of-care urine pregnancy testing, however, was negative, and subsequent CT angiography of the patient’s abdomen revealed an angiomyolipoma (AML) with active haemorrhage. Ultimately, embolisation was performed in the interventional radiology suite, with improvement of patient haemodynamics. Ruptured AML is a rare, life-threatening condition that needs to be included in the differential diagnosis of haemorrhagic shock in female patients of reproductive age presenting to the emergency department.
Primary adenoid cystic carcinoma of the trachea: an elusive diagnosis of chronic dyspnoea
Authors: Caramujo Cecília , da Cruz Rafael Moiteiro , Marques Rui Vale , Jesus Emanuel
Published: August 2022

Primary adenoid cystic carcinoma (ACC) of the trachea is a rare entity, with a 5-year survival between 50% and 80% for resectable cases and 30% in case of unresectable disease. We report a case of a primary ACC on a woman in her 70s that presented with a drawn-out history of dyspnoea. She was diagnosed with an unresectable obstructive tumour of the trachea, which required the placement of a Y-shaped stent. The patient underwent concomitant chemoradiotherapy, with partial response, and is still in follow-up, without evidence of disease progression.
Kimura’s disease of the left arm
Authors: Mulla Fahad , Bomanwar Nitin , Sakhare Sonika , Pinto Christopher Jude
Published: August 2022

Kimura’s disease is a rare, benign entity that causes subcutaneous angioblastic lymphoid hyperplasia with eosinophilia. It usually presents with subcutaneous lymphoid swellings with regional lymphadenopathy and salivary gland masses. Kimura’s disease is frequently associated with renal involvement, which includes proteinuria and nephrotic syndrome as the most common presentations. This report presents a case of a man in his early 20s with a swelling in the medial aspect of the distal left arm with two previous episodes of nephrotic syndrome. Multiple enlarged axillary lymph nodes and epitrochlear nodes were noted. Ultrasonography revealed a mixed echogenic mass with enlarged lymph nodes. MRI showed a heterogeneous hyperintense lesion. Image-guided fine-needle aspiration showed multiple lymphocytes and eosinophils suggestive of Kimura’s disease. The swelling was surgically excised under general anaesthesia. Histopathology of the excised mass confirmed the diagnosis of Kimura’s disease.
Adsorption behavior of Na atom on T-carbon (111) surface by first principles calculations
Authors: Guo Xin , Zhou Jitian , Zhang Yongxiang , Zhang Xingxing , Ren Junqiang , Lu Xuefeng
Published: August 2022

In this paper, the adsorption behavior of Na atom on T-carbon (111) surface is investigated in detail by first principles calculations. The adsorption of Na atom on the T-carbon (111) surface is a chemical adsorption with excellent stability. The minor opening of the bandgap is present. The charges transfer from Na atom to C atom, which leads to a transition of the bonding properties from covalence to ionicity. For the H-site adsorption system, the adsorption energy is the lowest, indicating that the system is the most stable. At the same time, C-Na has the lowest bond population, indicating its strong ionic property. Additionally, the dielectric loss of the adsorbed system reduces, especially for the H-site adsorption, which is conducive to the improvement of the service life in electron material devices. In absorption spectrum, the peak values decrease and shift to the lower energy direction, resulting in the appearance of redshift phenomenon. The reflection peak and energy loss values are greatly reduced, in which the trend is most obvious for the H-site adsorption. The above analysis results provide a theoretical basis for the application of photosensitive devices and open a window on the design and control the micro-nano devices.
Dynamics of the Rabinowitsch fluid in a reduced form of elliptic duct using finite volume method
Authors: Haider Jamil Abbas , Ahmad Shahbaz
Published: August 2022

The investigation of Computational Fluid Dynamics (CFD) focuses on the mechanical properties of a Rabinowitsch fluid model that was constructed with the help of a stenosed elliptic conduit using the well-known Finite Volume Method (FVM). If you are interested in studying physiology or biomedicine, you will find that the Rabinowitsch fluid model in peristalsis is very helpful. This is because it is used to move blood around the heart and lungs, as well as in sanitary fluid transport systems, the transfer of corrosive fluids and innovative pharmaceutical delivery systems. By using the Cartesian coordinates, it is feasible to get the elliptic domain for this duct model. Additionally, the equation of an ellipse is used in the boundary conditions for this duct in order to maintain the elliptic cross-section for this duct in its current state. The Partial Differential Equations (PDEs) for the velocity profile may be determined as soon as the issue is recast in a form that does not need any dimensions to be specified. With the assistance of boundary conditions that are provided, these PDEs are solved over elliptical cross-sections, and after that, numerical solutions are obtained for them. A dilatant fluid represents state [Formula: see text], a Newtonian fluid represents state [Formula: see text] and a pseudoplastic fluid represents state [Formula: see text] in this model, making it significant. The desired model is computed numerically. FVM is used to study the results at a low Reynolds number (around [Formula: see text]. The goal is to theoritically analyze the transmission of heat and fluid resistance to the flow. The CFD findings with experimental data are compared to confirm the model predictions. A CFD model based on the FVM and experimental data from a flow cell is used to study how fluid moves through the ducts. This study focuses on the pressure, velocity and temperature fields of a fluid moving through a stenosed duct.
MODELING AND FORECASTING VOLATILITY OF STOCK MARKET USING FAMILY OF GARCH MODELS: EVIDENCE FROM CPEC LINKED COUNTRIES
Authors: FRAZ TAYYAB RAZA , FATIMA SAMREEN
Published: August 2022

For economists and investors, it is necessary to understand the random and nonlinear pattern of the stock market volatility. High volatility directly affects the financial market that leads to unpredictability. China–Pakistan Economic Corridor attracts economists and investors worldwide. Therefore, predicting the volatility of the stock markets related to CPEC is important. In this study we consider the most important stock markets lying on the route of CPEC, namely KSE 100 (Pakistan), SSE 100 (China), TADAWUL (Kingdom of Saudi Arabia), KASE (Kazakhstan), KLSE (Malaysia), BIST (Turkey), MOEX (Russia), FTSE (United Kingdom) and CAC40 (France). The daily returns of stock market indices consist of 1706 observations from December 2014 to July 2021. After the confirmation from the ARCH effect test, family GARCH models are employed, among them, based on AIC and BIC criteria, GARCH (1,1), EGARCH (1,1), and GARCH-M (1,1) are found suitable to forecast the volatility. The empirical study also suggests that the out-of-sample forecast GARCH-M (1,1) model is more appropriate as it has a minimum value of MAE, MSE, RMSE, MAPE, TheilU1, and Theil U2 among all the studied GARCH models. Furthermore, it is also found that the KSE-100 and SSE-100 have moderate and slow market average returns even though both stock markets are found to be the least risk-returns markets.
SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19
Authors: Azad Fahim Tasneema , Dodge Robert W. , Varghese Allen M. , Lee Jaejin , Pedrielli Giulia , Candan K. Selçuk , Chowell-Puente Gerardo
Published: August 2022

COVID-19 outbreak was declared a pandemic by the World Health Organization on March 11, 2020. To minimize casualties and the impact on the economy, various mitigation measures have being employed with the purpose to slow the spread of the infection, such as complete lockdown, social distancing, and random testing. The key contribution of this article is twofold. First, we present a novel extended spatially informed epidemic model,
SIRTEM, Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19
, that integrates a multi-modal testing strategy considering test accuracies. Our second contribution is an optimization model to provide a cost-effective testing strategy when multiple test types are available. The developed optimization model incorporates realistic spatially based constraints, such as testing capacity and hospital bed limitation as well.
Learning to Ask: Conversational Product Search via Representation Learning
Authors: Zou Jie , Huang Jimmy , Ren Zhaochun , Kanoulas Evangelos
Published: August 2022

Online shopping platforms, such as Amazon and AliExpress, are increasingly prevalent in society, helping customers purchase products conveniently. With recent progress in natural language processing, researchers and practitioners shift their focus from traditional product search to conversational product search. Conversational product search enables user-machine conversations and through them collects explicit user feedback that allows to actively clarify the users’ product preferences. Therefore, prospective research on an intelligent shopping assistant via conversations is indispensable. Existing publications on conversational product search either model conversations independently from users, queries, and products or lead to a vocabulary mismatch. In this work, we propose a new conversational product search model, ConvPS, to assist users in locating desirable items. The model is first trained to jointly learn the semantic representations of user, query, item, and conversation via a unified generative framework. After learning these representations, they are integrated to retrieve the target items in the latent semantic space. Meanwhile, we propose a set of greedy and explore-exploit strategies to learn to ask the user a sequence of high-performance questions for conversations. Our proposed ConvPS model can naturally integrate the representation learning of the user, query, item, and conversation into a unified generative framework, which provides a promising avenue for constructing accurate and robust conversational product search systems that are flexible and adaptive. Experimental results demonstrate that our ConvPS model significantly outperforms state-of-the-art baselines.
Acute Myopericarditis after the Second Dose of mRNA COVID-19 Vaccine Mimicking Acute Coronary Syndrome
Authors: Pantsios Chris , Anyfantakis Zacharias-Alexandros , Xanthopoulos Andrew , Leventis Ioannis , Skoularigkis Spyridon , Dimos Apostolos , Bourazana Angeliki , Papamichalis Michail , Giamouzis Grigorios , Triposkiadis Filippos , Skoularigis John
Published: August 2022

Myocarditis is a rare adverse event of vaccination. Recently, mRNA vaccines for COVID-19 have been reported to correlate with myocarditis, specifically in adolescents and young men. We report a rare case of a 50-year-old man who presented with symptoms of myocardial infarction 3 days after the second dose of vaccination for COVID-19. Cardiac magnetic resonance (CMR) imaging revealed acute myopericarditis. Clinicians should be aware of that rare side effect of mRNA vaccines for COVID-19 that can affect not only younger recipients but also middle-aged patients presenting with symptoms mimicking acute coronary syndrome.
Research on the Cooperation of Emergency Response Subjects for the Shortage of Urban Natural Gas Energy
Authors: Li Shuang , Hao Yunli
Published: August 2022

This paper deals with the urgent problem of urban natural gas shortage. In order to improve emergency efficiency, enhance emergency efforts, and reduce urban disaster losses, the differential game theory is firstly applied for constructing a tripartite dynamic game model. Then, based on the Hamilton–Jacobi–Bellman (HJB) equation, the optimal effort degree, natural gas energy shortage, and maximum urban loss are obtained in three cases, i.e., spontaneous governance mode, superior dominant mode, and cooperative mode. The results show that the effort of provincial government, local government, and natural gas emergency enterprise is positively related to the emergency shadow, the impact of effort and natural gas energy attenuation coefficient of provincial government, local government, and enterprise, but it is negatively related to the emergency cost coefficient and the discount rate. From the perspective of emergency shortage and total urban loss, the government-enterprise cooperation mode turns out to be the best emergency mode, while the spontaneous governance mode remains the worst. At the same time, the government implements subsidies and incentives for nongovernmental organizations involved in emergency response, which is more conducive to the emergency of natural gas shortage in heavily suffering cities.
Design of Enterprise Financial Management Cloud Platform Based on Neural Network Algorithm
Authors: Hao Guo
Published: August 2022

As the business environment is constantly changing with the ever-changing economic and competitive growth trends, enterprises are more sensitive to market demand. Information management is the first thing that enterprises need to do well in order to effectively and timely communicate with the market, and then determine success or failure. The development and use of enterprise financing system software conform to this trend, which is conducive to implementing information management, and improving management quality and management level. Based on this point, this study designs a set of financial management cloud platform system according to the financial situation of an enterprise in a certain place. According to its business situation and business financial management characteristics, by integrating the neural network principle and Bayesian regularization algorithm, this study puts forward the construction of the Bayesian regularization algorithm based on the neural network model, then analyzes the BP neural network algorithm, evaluates and analyzes the asset management in the process of financial management, and puts forward cloud platform design, system analysis, system framework, etc. The organizational structure and system functions of the platform are introduced in detail for enterprise financial management. Finally, the function and performance of the system are tested in a reasonable testing environment, and the results are empirically analyzed. The test shows that the system is effective in realizing the financial management system, which proves that the financial cloud platform management system developed in this study is suitable for enterprises.
[Retracted] Study on the Construction and Development Path of Gymnasiums considering Ecological Environment Restrictions
Authors: Chen Xiaming , Zheng Linhong , Xu Yueyun
Published: August 2022

Under the restriction of ecological and environmental factors, our requirements have improved for the development path of gymnasium construction. According to the previous way to carry out the development path of gymnasium construction will make our construction work encounter a lot of unnecessary troubles, so we can improve the success rate of the development path of gymnasium construction under the constraints of the ecological environment by carrying out relevant evasive operations according to the constraints of ecological environment. The topological path and path algorithm used to improve the efficiency of stadium construction and development path under the constraints of ecological environment, TEG algorithm, Q‐TEG model, Q‐TEG algorithm, Dtra algorithm, TraD algorithm, ResR algorithm, and Q‐TED algorithm used in resource reservation plus time slot plus hosting bring the following advantages: (1) we use topological path and path algorithm to explore topological representation methods suitable for development path. The overview provides a theoretical basis for guidance, for forwarding technology scheduling mechanisms and multi‐path forwarding mechanisms to provide higher flexibility. (2) We use the TEG algorithm of resource reservation plus time slot plus trusteeship, Q‐TEG model, and Q‐TEG algorithm under multi‐model model can deal with the capacity and link of queue in each stadium construction development path well. It is more convenient to set the packet loss threshold for the propagation experiment tested in the simulation. Better help gymnasium construction and development path transmission is successful. (3) The use of the Dtra algorithm, TraD algorithm, ResR algorithm, and Q‐TED algorithm in our stadium construction development path of a good deal of the transmission link structure between each node, so that the transmission efficiency between nodes becomes higher, making our stadium construction development path operation more efficient and convenient.
Integrated Energy Security Defense Monitoring Software Based on Cloud Computing
Authors: Shang Yongqiang
Published: August 2022

In order to solve the problem of outlier detection of integrated energy security defense monitoring software, an automatic detection algorithm of virtual machine power anomaly in a cloud computing environment is proposed. The method is implemented through three main steps: data preprocessing, pattern recognition, and prediction of virtual machine power anomaly detection model. It is found through experiments that with the increase of node number, the convergent iterations of the model are less and RMSE is lower, but the increase of node number of the hidden layer will lead to a longer model running time. When the number of nodes reaches 100, the test results of the validation set are significantly improved, and the loss function of the validation set is minimal when the number of nodes is less than 30 iterations. Finally, the hidden layer of the model consists of 100 LSTM units, followed by a dense output layer with 1 neuron, and 0.2 loss, retrospection, and foresight equal to 1. Adam optimizer was used to train LSTM and stop it in advance after 50 iteration steps. Its parameters remained default, with a learning rate of 0.001 and attenuation of 0.9. It can be seen that this model can well predict the virtual machine power consumption data and effectively solve the problem of outlier detection of integrated energy security defense monitoring software.
Circular RNA hsa_circ_0002360 Promotes Proliferation and Invasion and Inhibits Oxidative Stress in Gastric Cancer by Sponging miR-629-3p and Regulating the PDLIM4 Expression
Authors: Yu Zhengyuan , Lan Jing , Li Wei , Jin Li , Qi Feng , Yu Chen , Zhu Hao
Published: August 2022

Many studies have found that circRNA hsa_0002360 (circ0002360) plays an important role in cancer onset and progression. However, its role in gastric cancer (GC) remains uncertain. Circ0002360 was found to be upregulated in GC cells using QRT-PCR. Furthermore, miR-629-3p, a target miRNA of circ0002360, was the most suppressed miRNA following circ0002360 overexpression. RNA immunoprecipitation (RIP), dual-luciferase reporter analyses, clone formation, transwell, DCFH-DA, and ELISA assays demonstrated that circ0002360-targeted miR-629-3p promotes cell proliferation and migration while inhibiting oxidative stress. GC-related mRNA microarrays from the GEO and TCGA databases, including GSE103236, GSE79973, GSE33429, GSE22804, GSE84437, and TCGA-STAD datasets, were used to find hub biomarkers between normal and gastric cancer samples. WGCNA and uni-Cox analysis were used to identify 27 survival-related risk genes, which were then used to build a risk model for prognosis prediction. Following that, all patients from the GSE84437 and TCGA-STAD datasets with 27 survival-related genes and enough data on survival status and time were randomly assigned to train (

n
=
433

) and test (

n
=
375

) cohorts. Furthermore, ROC and Kaplan-Meier (KM) analyses were used to validate the risk model for both cohorts. randomForest analysis indicated that PDLIM4 was the target gene of miR-629-3p, whose level was increased by circ0002360 but reversed by miR-629-3p mimics. Finally, this study confirmed that circ0002360 sponged miR-629-3p and then upregulated PDLIM4 expression. As a result, circ0002360 may be a useful marker for predicting GC prognosis and an anti-GC treatment target.
Sports Injury Identification Method Based on Machine Learning Model
Authors: Liu Zexu , Zhang Jun , Wu Di
Published: August 2022

With the increasingly fierce competition in international competitive sports, the momentum of special training has increased. Sports injuries are becoming more and more serious, which restricts the further improvement of the level of athletes. How to solve the problem of prevention, treatment, and rehabilitation of sports injuries, so as to ensure the normal training and competition of athletes, is an important part of sports work. Machine learning can solve large-scale data problems that cannot be solved by human beings at present and has strong self-learning ability, self-optimization ability, and strong generalization ability. Therefore, the purpose of this study is to understand the characteristics of rhythmic gymnastics injuries and analyze their causes by investigating the injury status of elite rhythmic gymnasts. According to the characteristics of the project, the injury characteristics of the athletes themselves, and other factors, using scientific qualitative and quantitative indicators, the injury risk of key athletes in rhythmic gymnastics was evaluated. It also provides theoretical and practical references for preventing sports injuries, formulating and implementing sports injury rehabilitation programs. The experimental results show that the female vaulting risk in the five risk categories fluctuates from 179.62 to 365.8, ranking the first in the risk of acute sports injury.
The Influence of Identity and Management Skills on Teachers’ Well‐Being: A Public Health Perspective
Authors: Zhang Huiqing
Published: August 2022

At present, the state and society pay more and more urgent attention to higher education, and higher education has transitioned from elite education to mass education. College teachers, as the main force in the construction and development of colleges and universities, have the right to pursue professional happiness. Their professional happiness is not only related to themselves but also related to the growth of college students and the development of higher education. Therefore, this paper deeply studies the connotation of teachers’ professional happiness, analyzes the current situation of their professional happiness, the current happiness level of college teachers, and discusses the strategy of improving college teachers’ professional happiness, which has great value and significance to the development of national higher education.
Interoperability Analysis between Traditional Chinese Sculpture and Painting Modeling from the Perspective of Big Data Management
Authors: Yang Zeyin
Published: August 2022

Chinese traditional sculpture and painting have strong interoperability in terms of patterns, colors, and lines. Chinese sculpture and painting art are traditional Chinese works of art. The art of painting is often the basis for sculptural art. A good sculptural work of art often requires the pattern and color foundation of the painting. Moreover, Chinese traditional sculpture artworks often reflect certain historical information and humanistic spirit. Traditional artificial methods are often difficult to discover the intercommunication between cultural information between Chinese sculpture and painting. For the interoperability between sculpture and painting artworks, artists only rely on professional knowledge and aesthetic ability to discover some interoperability in patterns, colors, and lines, which is insufficient for understanding Chinese sculpture and painting. This study designs a novel hybrid CNN-LSTM method to study the interoperability of Chinese sculptures and paintings in terms of patterns, colors, lines, and cultural information. CNN can extract patterns, colors, and line features of Chinese paintings and sculptures. The cultural characteristics of Chinese sculptures have obvious temporal characteristics, which can be mined by LSTM technology. The research results show that the hybrid CNN-LSTM method has good feasibility and accuracy in studying the interoperability of traditional Chinese sculpture and painting. In terms of average error, the largest error is only 3.03% and this part of the error comes from the prediction of Chinese sculpture and painting cultural information. All other features of traditional sculpture and painting are predicted to be within 3%. For the prediction of color features, the error is only 1.13%. Prediction errors for patterns, colors, and lines are within acceptable limits.