bluuebunny/crossref_metadata_2025 huggingface dataset:
Fragmentation of ambulatory care among older adults: an exhaustive database study in an ageing city in Japan
Authors: Kaneko Makoto , Shinoda Satoru , Shimizu Sayuri , Kuroki Makoto , Nakagami Sachiko , Chiba Taiga , Goto Atsushi
Published: August 2022

Objectives

Continuity of care is a core dimension of primary care, and better continuity is associated with better patient outcomes. Therefore, care fragmentation can be an indicator to assess the quality of primary care, especially in countries without formal gatekeeping system, such as Japan. Thus, this study aimed to describe care fragmentation among older adults in an ageing city in Japan.

Design

Cross-sectional study.

Setting

The most populated basic municipality in Japan.

Participants

Older adults aged 75 years and older.

Interventions

This study used a health claims database, including older adults who visited medical facilities at least four times a year in an urban city in Japan. The Fragmentation of Care Index (FCI) was used as an indicator of fragmentation. The FCI was developed from the Continuity of Care Index and is based on the total number of visits, different institutions visited and proportion of visits to each institution. We employed Tobit regression analysis to examine the association between the FCI and age, sex, type of insurance and most frequently visited facility.

Results

The total number of participants was 413 600. The median age of the study population was 81 years, and 41.6% were men. The study population visited an average of 3.42 clinics/hospitals, and the maximum number of visited institutions was 20. The proportion of patients with FCI >0 was 85.0%, with a mean of 0.583. Multivariable analysis showed that patients receiving public assistance had a lower FCI compared with patients not receiving public assistance, with a coefficient of 0.137.

Conclusions

To our knowledge, this is the first study to demonstrate care fragmentation in Japan. Over 80% of the participants visited two or more medical facilities, and their mean FCI was 0.583. The FCI could be a basic indicator for assessing the quality of primary care.
Children in the household and risk of severe COVID-19 during the first three waves of the pandemic: a prospective registry-based cohort study of 1.5 million Swedish men
Authors: af Geijerstam Agnes , Mehlig Kirsten , Hunsberger Monica , Åberg Maria , Lissner Lauren
Published: August 2022

Objective

To investigate whether Swedish men living with children had elevated risk for severe COVID-19 or infection with SARS-CoV-2 during the first three waves of the pandemic.

Design

Prospective registry-based cohort study.

Participants

1 557 061 Swedish men undergoing military conscription between 1968 and 2005 at a mean age of 18.3 (SD 0.73) years.

Main outcome measures

Infection with SARS-CoV-2 and hospitalisation due to COVID-19 from March 2020 to September 2021.

Results

There was a protective association between preschool children at home and hospitalisation due to COVID-19 during the first and third waves compared with only older or no children at all, with ORs (95% CIs) 0.63 (0.46 to 0.88) and 0.75 (0.68 to 0.94) respectively. No association was observed for living with children 6–12 years old, but for 13–17 years old, the risk increased. Age in 2020 did not explain these associations. Further adjustment for socioeconomic and health factors did not attenuate the results. Exposure to preschool children also had a protective association with testing positive with SARS-CoV-2, with or without hospitalisation, OR=0.91 (95% CI 0.89 to 0.93), while living with children of other ages was associated with increased odds of infection.

Conclusions

Cohabiting with preschool children was associated with reduced risk for severe COVID-19. Living with school-age children between 6 and 12 years had no association with severe COVID-19, but sharing the household with teenagers and young adults was associated with elevated risk. Our results are of special interest since preschools and compulsory schools (age 6–15 years) in Sweden did not close in 2020.
Comorbidity of long COVID and psychiatric disorders after a hospitalisation for COVID-19: a cross-sectional study
Authors: Gasnier Matthieu , Choucha Walid , Radiguer Francois , Faulet Theo , Chappell Kenneth , Bougarel Aurore , Kondarjian Christian , Thorey Paul , Baldacci Antoine , Ballerini Maryne , Ait Tayeb Abd El Kader , Herrero Hugo , Hardy-Leger Isabelle , Meyrignac Olivier , Morin Luc , Lecoq Anne-Lise , Pham Tài , Noel Nicolas , Jollant Fabrice , Montani David , Monnet Xavier , Becquemont Laurent , Corruble Emmanuelle , Colle Romain
Published: August 2022

Objectives

Long COVID is a major public health issue. Whether long COVID is comorbid with psychiatric disorders remains unclear. Here, we investigate the association between long COVID, psychiatric symptoms and psychiatric disorders.

Design

Cross-sectional.

Settings

Bicêtre Hospital, France, secondary care.

Participants

One hundred seventy-seven patients admitted in intensive care unit during acute phase and/or reporting long COVID complaints were assessed 4 months after hospitalisation for an acute COVID.

Main outcome measures

Eight long COVID complaints were investigated: fatigue, respiratory and cognitive complaints, muscle weakness, pain, headache, paraesthesia and anosmia. The number of complaints, the presence/absence of each COVID-19 complaint as well as lung CT scan abnormalities and objective cognitive impairment) were considered. Self-reported psychiatric symptoms were assessed with questionnaires. Experienced psychiatrists assessed Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition-based diagnoses of psychiatric disorders.

Results

One hundred and fifteen (65%) patients had at least one long COVID complaint. The number of long COVID complaints was associated with psychiatric symptoms. The number of long COVID complaints was higher in patients with psychiatric disorders (mean (m) (SD)=2.47 (1.30), p<0.05), new-onset psychiatric disorders (m (SD)=2.41 (1.32), p<0.05) and significant suicide risk (m (SD)=2.67 (1.32), p<0.05) than in patients without any psychiatric disorder (m (SD)=1.43 (1.48)). Respiratory complaints were associated with a higher risk of psychiatric disorder and new-onset psychiatric disorder, and cognitive complaints were associated with a higher risk of psychiatric disorder.

Conclusions

Long COVID is associated with psychiatric disorders, new-onset psychiatric disorders and suicide risk. Psychiatric disorders and suicide risk should be systematically assessed in patients with long COVID.
Distribution patterns of arterial affection and the influence of glucocorticoids on 18F-fluorodeoxyglucose positron emission tomography/CT in patients with giant cell arteritis
Authors: Malich Leander , Gühne Falk , Hoffmann Tobias , Malich Ansgar , Weise Tobias , Oelzner Peter , Wolf Gunter , Freesmeyer Martin , Pfeil Alexander
Published: August 2022

Background

Giant cell arteritis (GCA) with the involvement of extracranial vessels is increasingly coming into focus. Isolated aortic involvement in the acute phase of GCA is probably more frequent than estimated because only a minority of patients show typical symptoms. 18F-fluorodeoxyglucose positron emission tomography/CT (PET/CT) is a reliable imaging tool to diagnose patients with extracranial GCA. The aim of this retrospective study was to quantify arterial involvement at the onset of a newly diagnosed GCA by PET/CT and to evaluate the influence of glucocorticoid (GC) treatment on the diagnostic performance of this imaging technique.

Methods

The study included 60 patients with GCA at the onset of a GCA. All patients had undergone a PET/CT scan. 44 patients were GC naïve and 16 patients received GC.

Results

The most affected arteries were the ascending aorta (72%), followed by the brachiocephalic trunk (62%), aortic arch (60%) and descending aorta (60%). The aorta and its branches showed an inflammatory involvement in 83.3% of patients. A singular affection of the aorta and the brachiocephalic trunk was revealed in 20% of cases. GC-naïve patients (95.5%) had more frequently affected arteries compared with GC-treated patients (50%).

Conclusion

Our study showed the frequent involvement of the thoracic aorta and brachiocephalic trunk in patients with GCA using PET/CT. Since these vascular compartments cannot be visualised by ultrasound, we advocate screening imaging of the aorta with PET/CT when GCA is suspected. Because the use of GC is associated with a marked decrease in the inflamed vascular segment in GCA, PET/CT should be performed as soon as possible.
What impact would tobacco retailer proximity limit have on tobacco availability in New Zealand?
Authors: Marsh Louise , Doscher Crile , Iosua Ella , Quigg Robin , Tomintz Melanie
Published: August 2022

Introduction

One policy option to reduce the density of tobacco retailers is to restrict the distance retailers can be located to each other. This study examined the impacts of proximity limits of 150 m, 300 m and 450 m between tobacco retailers in New Zealand and if critical threshold reduction in tobacco retailers of 90%–95% would be achieved.

Methods

Using a spatial modelling approach, tobacco retailers were randomly removed based on a minimum distance between retailers until there were zero retailers within each scenario’s minimum distance. This was repeated for all three proximity limit scenarios and descriptive statistics are provided for each.

Results

Implementation of 150 m, 300 m or 450 m distance restrictions between tobacco retailers would result in an average reduction in availability of 35%, 49% and 58%, respectively. On average, the current median distance to the closest retailer increases from 110 m to 377 m, to 568 m or to 718 m, respectively. The average median distance from a retailer to the closest school also increases across the three proximity limits, from 1017 m to 1087 m, to 1149 m or to 1231 m, respectively. Reduced clustering in deprived areas would be most apparent if a 450 m restriction policy was implemented.

Conclusions

A proximity limit of 450 m would reduce retailers by 58%, but would not reach proposed critical behaviour-change threshold of 90%–95% required to reduce smoking prevalence independently. There is a need for a combination of policies, which focus on promoting equity, to achieve this bold endgame goal.
Assessing the representation of species included within the Canadian Living Planet Index
Authors: Currie Jessica , Burant Joseph B. , Marconi Valentina , Blain Stephanie A. , Emry Sandra , Hébert Katherine , Xie Garland , Moore Nikki A. , Wang Xueqi , Brown Andrea , Grevstad Lara , McRae Louise , Mezzini Stefano , Pata Patrick , Freeman Robin
Published: August 2022

To effectively combat the biodiversity crisis, we need ambitious targets and reliable indicators to accurately track trends and measure conservation impact. In Canada, the Living Planet Index (LPI) has been adapted to produce a national indicator by both World Wildlife Fund-Canada (Canadian Living Planet Index; C-LPI) and Environment and Climate Change Canada (Canadian Species Index) to provide insight into the status of Canadian wildlife, by evaluating temporal trends in vertebrate population abundance. The indicator includes data for just over 50% of Canadian vertebrate species. To assess whether the current dataset is representative of the distribution of life history characteristics of Canadian wildlife, we analyzed the representation of species-specific biotic variables (i.e., body size, trophic level, lifespan) for vertebrates within the C-LPI compared to native vertebrates lacking LPI data. Generally, there was considerable overlap in the distribution of biotic variables for species in the C-LPI compared to native Canadian vertebrate species lacking LPI data. Nevertheless, some differences among distributions were found, driven in large part by discrepancy in the representation of fishes—where the C-LPI included larger-bodied and longer-lived species. We provide recommendations for targeted data collection and additional analyses to further strengthen the applicability, accuracy, and representativity of biodiversity indicators.
Locating Number of Biswapped Networks
Authors: Nadeem Muhammad Faisal , Ali Waqar , Siddiqui Hafiz Muhammad Afzal
Published: August 2022

A biswapped network is an interconnection network in multiprocessor systems. These are networks of devices or processors and connections of these devices or processors. Here network can be expressed in the form of a graph. Devices or processors represent vertices, and the connection of devices or processors represents edges. The subset of the nodes set is called the resolving set if all the representations or codes are different w.r.t. this subset gives the information about the complete network. The minimum cardinality of the resolving set is called the locating number. In this article, we find the locating number of biswapped interconnection networks. In this paper, We compute the exact values of locating numbers for biswapped networks generated by different families of underlying basis networks like path, cycle, power of path, and complete. We have also given the bounds of locating number of any biswapped network generated by any underlying basis network that consists of its clusters.
Chinese Medicine in the Treatment of Ulcerative Colitis: The Mechanisms of Signaling Pathway Regulations
Authors: Zheng Shihao , Xue Tianyu , Wang Bin , Guo Haolin , Liu Qiquan
Published: August 2022

Ulcerative colitis (UC) is a common clinical inflammatory bowel disease characterized by repeated attacks, difficult treatment, and great harm to the physical and mental health of the patients. The occurrence and development of UC were closely related to the physiological and pathological processes, such as intestinal inflammatory reaction, oxidizing reaction, and immune response. Treatment of ulcerative colitis using Western medicine is often associated with a number of limitations and adverse events. There is a long history of using traditional Chinese medicine in dealing with this medical condition. Commonly used traditional Chinese medicines for the treatment of UC include Caulis Sargentodoxae, Flos Lonicerae, Fructus Cnidii, etc. Additionally, classic prescriptions such as Gegen Qinlian Formulae and Zuojin Pills can also be used to treat UC. To enrich the traditional Chinese medicine theory, the cognitive theory and perspective of network pharmacology and bioinformatics research of cell signal transduction mechanism of UC are emerging rapidly. Modern pharmacological studies focus on underlying mechanisms for the management of UC with Chinese medicine monomers, single Chinese medicines, and traditional Chinese medicine formulations, alleviating the symptoms of UC, controlling the development of intestinal inflammation, and restoring intestinal function through the regulation of key molecular signaling pathways, including PI3K/Akt, NF-[Formula: see text]B, JAK/STAT, MAPK and Notch. By summarizing current research progressions, this review provides key references for the in-depth exploration of the mechanisms focused on signaling pathways for the clinical management of UC using traditional Chinese medicine.
Nonlinear inhomogeneous Fokker–Planck models: Energetic-variational structures and long-time behavior
Authors: Epshteyn Yekaterina , Liu Chang , Liu Chun , Mizuno Masashi
Published: August 2022

Inspired by the modeling of grain growth in polycrystalline materials, we consider a nonlinear Fokker–Plank model, with inhomogeneous diffusion and with variable mobility parameters. We develop large time asymptotic analysis of such nonstandard models by reformulating and extending the classical entropy method, under the assumption of periodic boundary condition. In addition, illustrative numerical tests are presented to highlight the essential points of the current analytical results and to motivate future analysis.
Designing 1D Plasmonic Ag/CuWO4 Nanocomposite for Enhancing Visible-Light Photoelectrochemical Performance
Authors: Salimi R. , Sabbagh Alvani A. A. , Sameie H. , Poelman D. , Rosei F.
Published: August 2022

We report the synthesis and characterization of CuWO4, its functionalization with plasmonic Ag nanostructures and its photoelectrochemical properties. First, a solution-phase polyvinylpyrrolidone (PVP)-assisted approach was used to prepare shape-controlled plasmonic Ag (nanoparticles (NPs) and nanowires (NWs)) via heterogeneous nucleation. The growth process and morphological tuning of the as-synthesized Ag nanostructures were investigated experimentally. Molecular dynamics (MD) simulations were used to understand the underlying principles that govern nanowire growth by analyzing the interaction energies between crystal surfaces and PVP as well as the atom density profile. Significant enhancements of the photocurrent (45% and 140%, respectively) at the thermodynamic potential for oxygen evolution (0.62 V vs Ag/AgCl) were obtained for Ag NP/CuWO4 (0.11 mA cm−2) and Ag NW/CuWO4 (0.18 mA cm−2) photoanodes, respectively, compared to pristine CuWO4 photoanode. Moreover, the incorporation of Ag NWs significantly enhances the incident photon to current conversion efficiency (IPCE) across the 350–550 nm spectral range, revealing a maximum around 10%. The obtained improvement is attributed to improved light harvesting by Ag-induced surface plasmon resonance (SPR) effects with a dual peak absorption, together with more effective charge carrier transfer/separation. Therefore, incorporation of the as-prepared plasmonic nanostructures with CuWO4 causes a considerable improvement of the photoelectrochemical activity for energy conversion/storage applications.
Therapeutic effects of a soluble guanylate cyclase activator, BAY 60-2770, on lower urinary tract dysfunction in mice with spinal cord injury
Authors: Gotoh Daisuke , Saito Tetsuichi , Karnup Sergei , Morizawa Yosuke , Hori Shunta , Nakai Yasushi , Miyake Makito , Torimoto Kazumasa , Fujimoto Kiyohide , Yoshimura Naoki
Published: August 2022

This is the first report to evaluate the effects of a soluble guanylate cyclase activator, BAY 60-2770, on neurogenic lower urinary tract dysfunction in mice with spinal cord injury.
Prognostic Nutritional Index and Neutrophil/Lymphocyte Ratio Can Serve as Independent Predictors of the Prognosis of Hepatocellular Carcinoma Patients Receiving Targeted Therapy
Authors: Chen Wei , Zhang Mingjun , Chen Chanjuan , Pang Xiaonan
Published: August 2022

Objective. The prognostic nutritional index (PNI) is an immunonutritional indicator, and the neutrophil/lymphocyte ratio (NLR) reflects the inflammatory status. This research intends to determine the implications of NLR and PNI in evaluating the outcome of hepatocellular carcinoma (HCC) patients undergoing targeted therapy (TT). Methods. We retrospectively analyzed 83 patients’ records with sorafenib treatment for advanced HCC in the Second Affiliated Hospital of Anhui Medical University. Patient records comprised general data and blood routines. The PNI and NLR values were calculated using the serum albumin levels (ALB), neutrophil (NEU) count, and lymphocyte (LY) count. The optimal thresholds of the PNI and NLR for predicting HCC patients’ outcomes were calculated by X-tile. Patients were further assigned to low- and high-groups of PNI and NLR according to their thresholds. By using the Cox proportional hazards regression models, univariate and multivariate analyses were conducted to identify risk factors influencing the patient's prognosis. Results. The participants were assigned to the corresponding low-PNI (≤42.9; n = 10) and high-PNI (>42.9; n = 73) groups, as well as low-NLR (≤2.4; n = 64) and high-NLR (>2.4; n = 19) groups based on the critical values of PNI (42.9) and NLR (2.4) obtained through the X-tile calculation. A higher overall survival (OS) rate was observed in the high-PNI group and low-NLR group, than in the low-PNI group and high-NLR group, respectively. The disease control rate showed no evident difference between the groups. The PNI and NLR were of high reliability in predicting the OS of patients. Cox multivariate analysis identified the independence of the PNI and NLR as prognostic factors for patients receiving TT for advanced HCC. Conclusions. The pretreatment PNI and NLR levels have great prognostic implications for advanced HCC patients receiving TT. A higher PNI and a lower NLR suggest a higher postoperative survival rate.
Seymour’s Second Neighborhood Conjecture for m-Free Oriented Graphs
Authors: Ma Huawen
Published: August 2022

Let

D
=

V
,
E

be an oriented graph with minimum out-degree

δ

+

. For

x
∈
V

D

, let

d

D

+

x

and

d
D

+
+

x

be the out-degree and second out-degree of

x

in

D

, respectively. For a directed graph

D

, we say that a vertex

x
∈
V

D

is a Seymour vertex if

d
D

+
+

x

≥

d
D
+

x

. Seymour in 1990 conjectured that each oriented graph has a Seymour vertex. A directed graph

D

is called

m

-free if there are no directed cycles with length at most

m

in

D

. A directed graph

D
=

V
,
E

is called

k

-transitive if, for any directed

x
y

-path of length

k

, there exists

x
,
y

∈
E

. In this paper, we show that (1) each

δ

+

−
2

-free oriented graph has a Seymour vertex and (2) each vertex with minimum out-degree in

m

-free and

2
m
+
2

-transitive oriented graph is a Seymour vertex. The latter result improves a theorem of Daamouch (2021).
Systematic Evaluation of Randomized Clinical Trials of Huangqin Tang in Combination with Mesalazine for Ulcerative Colitis
Authors: Pan Chengyu , Liu Mengru , Li Hui , Wei Lanfu , Wang Pengcheng , Wu Kexuan , Ji Xing , Gu Limei , Tian Yaozhou
Published: August 2022

Objective. To systematically evaluate the efficacy and safety of Huangqin Tang (HQT) combined with mesalazine for the treatment of ulcerative colitis (UC). Methods. The China Knowledge Network, Wanfang Data, VIP, PubMed, SinoMed, Embase, and Cochrane Library databases were searched for randomized controlled trials (RCTs) of UC with HQT in Chinese and English. The search time was from the establishment of the database to October 2021. The included literature was evaluated for data extraction and risk of bias, efficacy and safety were evaluated using the RevMan5.3 software, and the quality of evidence was evaluated using GRADE. Results. Six studies with a total of 565 subjects were included, and a meta-analysis showed that HQT combined with mesalazine for UC significantly improved the cure rate (RR = 1.56, 95% CI [1.23, 1.98),

P
=
0.0003

) and overall efficacy rate (RR = 1.24, 95% CI [1.14, 1.35],

P
=
0.00001

), which significantly reduced the clinical symptom scores; however, all had high heterogeneity. HQT combined with mesalazine modulated the patients’ serum IL-6, IL-10, IgA, and IgG levels. HQT combined with mesalazine for UC tended to reduce adverse effects; however, the difference was not statistically significant. All GRADE ratings of the quality of evidence were of low quality. Conclusions. HQT combined with mesalazine in the treatment of UC significantly improved the cure rate and overall treatment efficiency and regulated the expression levels of serum IL-6, IL-10, IgA, and IgG.
Analysis of Reliable Solutions to the Boundary Value Problems by Using Shooting Method
Authors: Arefin Mohammad Asif , Nishu Mahmuda Akhter , Dhali Md Nayan , Uddin M. Hafiz
Published: August 2022

This research aims to use the shooting method (SM) to find numerical solutions to the boundary value problems of ordinary differential equations (ODEs). Applied mathematics, theoretical physics, engineering, control, and optimization theory all have two-point boundary value problems. If the two-point boundary value problem cannot be solved analytically, numerical approaches must be used. The scenario in the two-point boundary value issue for a single second-order differential equation with prescribed initial and final values of the solution gives rise to shooting method. Firstly, the method is discussed, and some boundary value problems of ODEs are solved by using the proposed method. Obtained results are compared with the exact solution for the validation of the proposed method and represented both in graphical and tabular form. It has been found that the convergence rate of the shooting method to the exact solution is so high. As a finding of this research, it has been determined that the shooting method produces the best-fit numerical results of boundary value problems.
A BP Neural Network Model for Evaluating the Literature and Art Career of College Students’ Political and Ideological Education
Authors: Jing Yanhong
Published: August 2022

The evaluation of the literary and artistic carrier of the political as well as the ideological education of college students is an important research topic in contemporary college education concepts. Since it consists of multiple variables, there are still many difficulties in evaluating the ideological productivity of college students. The same statement is true for political education as well. This paper builds a model for the literary and artistic carrier of the political as well as the ideological education of college students based on the backpropagation neural network (BPNN) structure. Furthermore, we study the current status of the literary and artistic carrier of the political along with the ideological education of college students. This paper implements the BP neural network to model the literary and artistic carrier of college level graduate students’ political and ideological education in order to analyze the dynamics of contemporary college students’ ideological differences. Finally, we provide an adequate theoretical basis for inquiry, from qualitative description to quantitative analysis. The suggested approach may successfully avoid the old model’s instability and sluggish convergence issues as well as significantly increase the correctness of the evaluation findings for literary and artistic carrier of the political as well as the ideological education of college students.
Performance Optimization of Helicopter Rotor in Hover Based on CFD Simulation
Authors: Zhou Chenglong , Xu Anan , Wang Fang , Chen Ming , Li Wei , Yin Rui
Published: August 2022

An optimization method of helicopter rotor hovering performance is proposed, which is mainly carried out by means of CFD simulation. This method can be used to obtain the rotation speed of any blade model under the designed hovering tension through several iterations, and then, the tension, torque, power, and power load of the rotor under the rotation speed can be obtained. By comparing different blade pitch, radius, twist, and chord length, the blade parameters at the highest power load can be selected. A series of new rotor models are obtained by changing the model parameters on the basis of C-T rotor. NASA has carried out a lot of experiments on the C-T rotor model and published detailed experimental reports. The transient simulation is carried out by the embedded grid method.
m6A-Related lncRNA Signature Is Involved in Immunosuppression and Predicts the Patient Prognosis of the Age-Associated Ovarian Cancer
Authors: Li Ming , Zhang Liang , Feng Miaoxiao , Huang Xiao
Published: August 2022

Background. Epithelial ovarian cancers are age-associated diseases, usually diagnosed at an advanced stage. lncRNA has been discovered to interplay with N6-methyladenosine (m6A), working in tandem to promote cancer progression and worsening patient outcomes. This study is aimed at investigating the roles and mechanism of m6A-related lncRNA signature on ovarian cancers. Methods. We retrieved TCGA and CGGA sequencing data to identify m6A-related lncRNA signature and constructed an m6A score (MS) using the LASSO algorithm. A clinical nomogram was then established to predict the overall survival of patients. Subsequently, GSEA analyses were conducted to obtain pathways involved. Expression of HLA genes, 28 tumor-infiltrating lymphocyte infiltration, and anticancer cycle were analyzed the immunological differences between high-MS and low-MS groups. Finally, immune checkpoint gene expressions and IC50 of chemotherapeutic drugs were calculated, and CMap was run to identify the potential compounds and their corresponding mechanisms. Results. We identified 16 m6A-related lncRNAs and constructed an MS model. The high-MS group showed a poor prognosis. A clinical nomogram consists of MS, and age was constructed and predicted the 1-, 3-, and 5-year survival with high accuracy. GSEA analyses presented downregulated antigen processing and presentation pathways. Immunocyte infiltrating analyses demonstrated that high-MS was associated with high infiltration of Treg cells, macrophages, and low Th1/Th2 rate. Also, high expression of immune checkpoint genes NRP1, TNFSF9, and VSIR was observed in the high-MS group. Finally, the high-MS group also predicted low IC50 of vinorelbine and vorinostat. Conclusion. This study constructed a robust prediction model for prognostic management and revealed the cross-talk between m6A and immunosuppression. Besides, the m6A lncRNA signature can predict the chemotherapeutic drug response. These will shed light on the development of novel therapeutic strategies and render survival benefits for ovarian patients.
Antitumor Activities of Aqueous Cinnamon Extract on 5637 Cell Line of Bladder Cancer through Glycolytic Pathway
Authors: Aminzadeh Zeynab , Ziamajidi Nasrin , Abbasalipourkabir Roghayeh , Daei Sajedeh , Helbi Sobhan , Moridnia Abbas
Published: August 2022

Background. Pharmacotherapy with medicinal plants is a promising approach to treat cancer. Cinnamon is a medicinal plant whose properties have been proven in various fields of medical sciences. Among its biological activities, its antioxidant and antiviral effects can be mentioned. In this study, the antitumor effects of Cinnamon with a focus on glucose metabolism in bladder cancer carcinoma cell-line 5637 were investigated. Methods. Aqueous extract of Cinnamon was prepared from Cinnamon bark. Bladder cancer 5637cell line were treated with different concentrations of aqueous extract of Cinnamon. MTT was used to evaluate cell viability at 24, 48, and 72 h. The concentration of 1.25, 2.50, and 5 mg/ml was used. Apoptosis was assessed with Hochest33258 staining. For evaluating of aqueous extract of Cinnamon effect on glycolysis, the gene expression of epidermal growth factor receptor 2 (ErbB2), heat shock protein transcription factor1 (HSF1), and lactate dehydrogenase A (LDHA), as well as protein levels of HSF1 and LDHA, LDH activity, glucose consumption, and lactate production, were measured. Results. Aqueous extract of Cinnamon significantly decreased ErbB2, HSF1, and LDHA gene expression and also decreased the protein level of HSF1 and LDHA, LDH activity, glucose consumption, and lactate production dose-dependently (

p
<
0.05

). Conclusion. Our finding showed that the aqueous extract of Cinnamon can inhibit proliferation in 5637 cells by inhibition of glycolysis and induction of apoptosis.
The Effect of GeoGebra on Students’ Abilities to Study Calculus
Authors: Bekene Bedada Tola , Machaba M. F.
Published: August 2022

The study aimed to investigate the effect of GeoGebra on students’ ability to learn calculus. Calculus can be a challenging subject to teach. Moreover, students have problems, especially in connecting the concepts of calculus with the real world. Concerning gender, the study looked at the impact of utilizing GeoGebra Mathematical software on students’ calculus proficiency and ability to utilize GeoGebra software to learn calculus. The study developed a cycle model that posits nine steps to promote the teaching and learning process with the help of GeoGebra to improve the learning process. A quantitative research methodology was employed to achieve the goal of the study. A quasi-experiment with a pretest and posttest design was used in the quantitative part of the study. Students learning calculus were the subjects of the study, which took place at a university in Ethiopia. The quantitative data were analyzed using SPSS version 27. The results show that there is a significant difference between pretest and posttest in students’ performance (ability) when using GeoGebra mathematics software, indicating that students performed better after the intervention (F (1,64) = 10.495,p=0.002 < 0.05). The treatment benefited both high- and low-ability pupils in their brain-based learning, although students in the experimental group, both female and male, outperformed those in the control group. While the GeoGebra-oriented learning approach to calculus has the potential to improve competency, it is still necessary that it be structured (cycle model) to address a specific deficiency.
Precise Marketing of E-Commerce Products Based on KNN Algorithm
Authors: Zou Jianfeng , Li Hui
Published: August 2022

In order to better understand the purchase decision-making process of consumers, this paper makes an in-depth study on the precision marketing of e-commerce products on the basis of KNN algorithm. Through data mining, classic KNN algorithm, BPNN algorithm, and other methods, this paper takes the price and purchase intention of e-commerce agricultural products as an example. Based on the classic nearest neighbor algorithm, binomial function is combined with Euclidean distance formula when calculating the nearest neighbor through similarity. The particle swarm optimization algorithm is used to optimize the binomial function coefficient and the K value of the nearest neighbor algorithm, and the results of the best prediction model for the prediction application of e-commerce agricultural product price and purchase intention are established. Both pricing strategies and promotion strategies will weaken the compromise effect of consumers when they choose e-commerce agricultural products. After studying the calculation method of the KNN algorithm, it not only correctly predicts the price of e-commerce agricultural products but also makes a corresponding prediction and analysis of consumers’ purchase intention of e-commerce agricultural products, with the highest accuracy of 94.2%. At the same time, in the future precision marketing process, e-commerce agricultural products enterprises use data technology to achieve precision marketing, which effectively changes the shortcomings of traditional marketing and improves the product marketing effect and economic benefits.
Recognizing the Damaged Surface Parts of Cars in the Real Scene Using a Deep Learning Framework
Authors: Parhizkar Mahboub , Amirfakhrian Majid
Published: August 2022

Automatically recognizing the damaged surface parts of cars can noticeably diminish the cost of processing premium assertion that leads to providing contentment for vehicle users. This recognition task can be conducted using some machine learning (ML) strategies. Deep learning (DL) models as subsets of ML have indicated remarkable potential in object detection and recognition tasks. In this study, an automated recognition of the damaged surface parts of cars in the real scene is suggested that is based on a two-path convolutional neural network (CNN). Our strategy utilizes a ResNet-50 at the beginning of each route to explore low-level features efficiently. Moreover, we proposed new mReLU and inception blocks in each route that are responsible for extracting high-level visual features. The experimental results proved the suggested model obtained high performance in comparison to some state-of-the-art frameworks.
Design and Optimization of Aesthetic Education Teaching Information Platform Based on Big Data Analysis
Authors: Wu Xingxing , Gu Hai
Published: August 2022

In the process of promoting school aesthetic education, some schools have some problems, such as insufficient construction of campus aesthetic education environment, lack of aesthetic thinking in various disciplines, and so on. In view of these problems, combined with the concept of the flipped classroom and the characteristics of artificial intelligence task-driven teaching, taking PHP, HTML + CSS + JS, and other development technologies as the main development technologies, and relying on the flipped classroom teaching mode of network learning space, this paper constructs an artificial intelligence core course website as a teaching platform for graduate teaching and undergraduate extended learning. The platform seeks the optimal solution of multiple combination optimization based on a genetic algorithm effectively improves the teaching quality of artificial intelligence courses and students’ learning efficiency.
Application of Stochastic Matrix Model with Improved GLR Algorithm in English Translation Studies
Authors: Zhu Lingyi , Liu Lijuan
Published: August 2022

The rapid development of today’s society is accompanied by the explosive growth of information data; in the process of information transmission, language is a very important carrier. Among all kinds of communication languages, English always occupies an important position and is one of the most commonly used languages in social life. Therefore, the practical significance of English education is self-evident. With the popularization of the Internet, intelligent phrase recognition in machine translation is the key technology. With the help of natural language processing technology, an English translation corpus can be built to accurately mark the parts of speech of short words, and phrase recognition technology is used to correct grammatical ambiguity effectively. Structural ambiguity is a difficult problem in the field of English translation. Based on the random matrix model of the improved GLR algorithm, phrase structure labelling is constructed through the phrase corpus. Revised annotation can effectively improve the accuracy of academic translation, and intelligent English translation is realized through recognition technology. Simulation experiments verify the effectiveness of the model, and the results show that the English translation intelligent recognition model has a high proofreading accuracy. When the value of P is 0.95, the high accuracy can be retained to the maximum and the efficiency and feasibility of improving the GLR algorithm in machine translation can be improved.
A Bioinformatics Study of Ropivacaine plus Dexamethasone Prolonging the Duration of Nerve Block
Authors: Chen Yongjie , Wu Jin , Xu Jingjing , Chen Yijun , Huang Changshun
Published: August 2022

The study focuses on the potential function of dexamethasone on ropivacaine in sciatic nerve blocks. Nine Sprague–Dawley (SD) rats were randomly divided into three groups: normal group (NG), control group (CG), and experimental group (EG), with three rats in each group. The CG was injected with diluted ropivacaine (0.5% concentration); the EG was injected with a diluted ropivacaine+dexamethasone mixture, and the NG was injected with an equal amount of saline. The sciatic nerve in the thigh was collected for sequencing two days after injection in each group. Differential analysis was performed for NG-vs-CG, NG-vs-EG, and CG-vs-EG based on the sequencing dataset. The modular genes associated with ropivacaine and ropivacaine+ dexamethasone were screened by weighted coexpression network analysis (WGCNA), differentially expressed modules among them were enriched for analysis, and protein-protein interaction (PPI) networks were constructed to observe high and low expression among key genes in immune cells. Twenty-two and three differential genes associated with ropivacaine (green-yellow module) and ropivacaine+dexamethasone (palevioletred3 module) were acquired, respectively, which played important roles in biological processes such as erythrocyte homeostasis, erythroid differentiation, and hemoglobin metabolic processes. PPI revealed that AHSP, ALAS2, EPB42, HBB, and SLC4A1 were interacting and the expression of these five genes was upregulated in the CG compared with the NG, while the expression of them was downregulated in the EG compared with the CG. The immunological analysis also showed significant differences in the expression of various immune cells in the 3 groups. AHSP, ALAS2, EPB42, HBB, and SLC4A1 are genes associated with hemoglobin, and dexamethasone combined with ropivacaine may prolong anesthesia by affecting local vasoconstriction to some extent.
Interleukin-8 Regulates the Autophagy and Apoptosis in Gastric Cancer Cells via Regulating PI3K/Akt Signaling Pathway
Authors: Yu Liang , Zhou Guoqiang , Shi Zhiliang , Guo Jian , Yu Shengyuan , Yu Cheng , Shen Chenglong
Published: August 2022

Objective. To explore the role and mechanism of interleukin-8-mediated autophagy regulation of gastric cancer (GC) cells in GC. Methods. After cell culture, the SGC7901 cell line was separated into the control group and IL-8 (20 ng/mL) group, IL-8 (40 ng/mL) group, and IL-8 (60 ng/mL) group, to verify the effects of the PI3K/Akt signal path on the modulation of autophagy in GC cells. Western blot detected autophagy markers, ATG12-ATG5 complexes, autophagy-associated pathways, and apoptosis-associated factors in GC cells. Transwell was utilized to identify invasion capability. Results. Compared with the control group, the expression of LC3II, Atg5, ATG7, Beclin1, Bax, C-cas3, C-cas9, P-PI3K, P-Akt, and ATG12-ATG5 was remarkably elevated in the IL-8 (60 ng/mL) group, IL-8 (20 ng/mL) group, and the IL-8 (40 ng/mL) group. The expression of P62 and Bcl-2 in the IL-8 (60 ng/mL) group was also lower than that of the IL-8 (20 ng/mL) group and IL-8 (40 ng/mL) group, in contrast to the controls. The invasive quantity of GC SGC7901 cells in the IL-8 (60 ng/mL) group was also remarkably higher in contrast to the IL-8 (20 ng/mL) and IL-8 (40 ng/mL) groups. The relative expressions of LC3II, Atg5, ATG7, Beclin1, Bax, C-cas3, C-cas9, P-PI3K, P-Akt, and ATG12-ATG5 complex proteins in LY294002 group were considerably elevated. LC3II, Atg5, ATG7, Beclin1, Bax, C-cas3, C-cas9, P-PI3K, P-Akt, and ATG12-ATG5 were decreased in the IL-8 + LY294002 group. The relative expressions of P62 and Bcl-2 proteins in the IL-8 + LY294002 group were remarkably elevated, and the invasion of SGC7901 cells in the IL-8 group was elevated. In contrast to the IL-8 group, the invasion quantity of gastric cancer SGC7901 cells in the IL-8 + LY294002 group was considerably decreased. Conclusion. IL-8 promotes autophagy and aggression and suppresses apoptosis of GC SGC7901 cells by regulating PI3K/AKT pathway phosphorylation.
A Bayesian Bivariate Model for Spatially Correlated Binary Outcomes
Authors: Barry Thierno Souleymane , Ngesa Oscar , Onyango Nelson Owuor , Mwambi Henry
Published: August 2022

Diseases have been studied separately, but two diseases have inherent dependencies on each other, modelling them separately negates practical reality. The authors’ modelling processes are based on univariate separate regressions, which connect each illness to covariates separately. Therefore, the focus of this article is to estimate the spatial correlation within geographic regions using latent variables. Individual and areal-level information, as well as spatially dependent random effects for each spatial unit, are incorporated into the models developed using a hierarchical structure. Simulation techniques provide to assess the models’ performance using Bayesian computing approaches (INLA and MCMC). The findings show a reasonable performance of the DIC and RMSE values of the proposed latent model. From that, the model can be considered as the best compared to the shared component model, multivariate conditional autoregressive model, and univariate models.
Economic Scheduling Problem of Nanomaterial Import and Export Trade Based on Redundant Data Compression Algorithm and Its Parameter Adjustment Method
Authors: Lu Lihong , Wang Daixin
Published: August 2022

In the context of today’s supply-side structural reform, the research on the relationship between foreign trade and economic growth has received extensive attention from researchers. Since China’s economic reform and opening up in the late 1970s, China’s economy has experienced a relatively long period of rapid growth. From 1978 to the end of 2008, China’s economy grew at an average annual rate of about 10%, and its GDP grew from US$9.75 billion in 1978 to US$1,430.69 billion in 2008. The progress is amazing, the total import and export of goods increased from 20.64 billion US dollars in 1978 to 25.6326 billion US dollars in 2008, and the world ranking rose from 32nd in 1978 to 3rd in 2008, second only to the United States and Germany. The analysis of the test results presented in this paper shows that, from 1995 to 2014, China’s average annual exports accounted for 23.72% of GDP. Since China joined the World Trade Organization in 2001, China’s share of export trade has increased significantly. In 2004, the total value of exports reached 4910.33 billion yuan, equivalent to more than 29% of China’s GDP, and continued to rise in the following years. China’s total exports as a share of GDP declined between 2009 and 2014 but remained above 20% in both cases.
Optimization of the Quality of Chestnut Rose Jiaosu Compound Beverage Based on Probiotic Strains and Fermentation Technology
Authors: Zou Shiping , Xu Yao , Huang Biao
Published: August 2022

Chestnut rose is an endemic plant in Guizhou Province, China, also known as seedless prickly pear, rich in mineral elements, vitamin C, and flavonoids. With chestnut rose as the main raw material, with grapes, apples, and other fruits as auxiliary ingredients, through the technical process of deastringency, sterilization, fermentation, blending, and other technical processes to obtain the composite beverage, known as a chestnut rose jiaosu compound beverage, it is hereinafter referred to as CRJCB. The CRJCB fermented from chestnut rose juice is nutritious and has a variety of health effects, and the flavor is unique, with good color, aroma, and taste, which is a new type of beverage. However, at present, the fermentation related technology of CRJCB is not perfect, resulting in its low quality, which seriously restricts the industrialization development of CRJCB. In order to improve the quality of the jiaosu compound beverage, probiotics such as Lactobacillus delbrueckii subsp. Bulgaricus, Lactobacillus casei, Lactobacillus royale (Lactobacillus reuteri), Lactobacillus acidophilus, and Streptococcus thermophilus, etc., were used. The chestnut rose as the main raw material was used for the fermentation, and grapes, apples, and sugar were used as auxiliary materials to carry out the research on the fermentation of single or mixed probiotics. The key fermentation processes affecting the quality of the jiaosu, such as juice preparation, deastringency of chestnut rose juice, fermentation temperature and time, sugar addition, and taste mixing of the jiaosu, were optimized. The optimized ratio, fermentation process parameters, and strains of probiotics of compound beverage with chestnut rose jiaosu, with high quality, were obtained. The experimental results showed that the SOD enzyme activity value was 167.7 U·ml−1, the vitamin C content was 1154.5 mg/100 mL, the soluble solids content was 5.80%, and the nitrite content was 89.8 mg/kg in the compound beverage with chestnut rose jiaosu, obtained by using the optimized ratio and fermentation process parameters proposed in this paper. The development and utilization of chestnut rose resources provide a new idea and is of great significance in promoting the development of the chestnut rose industry.
A Stochastic Approach to Modeling Food Pattern
Authors: Adedje Komla Elom , Barro Diakarya
Published: August 2022

In this paper, we propose a fractional differential equation of order one-half, to model the evolution through time of the dynamics of accumulation and elimination of the contaminant in the human organism with a deficient immune system, during consecutive intakes of contaminated food. This process quantifies the exposure to toxins of subjects living with comorbidity (children not breastfed, the elderly, and pregnant women) to food-borne diseases. The Adomian Decomposition Method and the fractional integration of Riemann Liouville are used in the modeling processes.