bluuebunny/crossref_metadata_2025 huggingface dataset:
Is self-rated health associated with cardiovascular risk factors and disease in a low-income setting? A cross-sectional study from the Amazon Basin of Brazil
Authors: Holm Anna Engell , Gomes Laura Cordeiro , Wegener Alma , Lima Karine O , Matos Luan O , Vieira Isabelle V M , Kaagaard Molly D , Pareek Manan , de Souza Rodrigo Medeiros , Marinho Claudio Romero Farias , Biering-Sørensen Tor , Silvestre Odilson M , Brainin Philip
Published: August 2022

Objective

Prior studies have suggested that self-rated health may be a useful indicator of cardiovascular disease. Consequently, we aimed to assess the relationship between self-rated health, cardiovascular risk factors and subclinical cardiac disease in the Amazon Basin.

Design

Cross-sectional study.

Setting, participants and interventions

In participants from the Amazon Basin of Brazil we obtained self-rated health according to a Visual Analogue Scale, ranging from 0 (poor) to 100 (excellent). We performed questionnaires, physical examination and echocardiography. Logistic and linear regression models were applied to assess self-rated health, cardiac risk factors and cardiac disease by echocardiography. Multivariable models were mutually adjusted for other cardiovascular risk factors, clinical and socioeconomic data, and known cardiac disease.

Outcome measures

Cardiovascular risk factors and subclincial cardiac disease by echocardiography.

Results

A total of 574 participants (mean age 41 years, 61% female) provided information on self-rated health (mean 75±21 (IQR 60–90) points). Self-rated health (per 10-point increase) was negatively associated with hypertension (OR 0.87 (95% CI 0.78 to 0.97), p=0.01), hypercholesterolaemia (OR 0.89 (95%CI 0.80 to 0.99), p=0.04) and positively with healthy diet (OR 1.13 (95%CI 1.04 to 1.24), p=0.004). Sex modified these associations (p-interaction <0.05) such that higher self-rated health was associated with healthy diet and physical activity in men, and lower odds of hypertension and hypercholesterolaemia in women. No relationship was found with left ventricular ejection fraction <45% (OR 0.97 (95% CI 0.77 to 1.23), p=0.8), left ventricular hypertrophy (OR 0.97 (95% CI 0.76 to 1.24), p=0.81) or diastolic dysfunction (OR 1.09 (95% CI 0.85 to 1.40), p=0.51).

Conclusion

Self-rated health was positively associated with health parameters in the Amazon Basin, but not with subclinical cardiac disease by echocardiography. Our findings are of hypothesis generating nature and future studies should aim to determine whether assessment of self-rated health may be useful for screening related to policy-making or lifestyle interventions.

Trial registration number

Clinicaltrials.gov: NCT04445103; Post-results
Mental health conditions and use of rhythm control therapies in patients with atrial fibrillation: a nationwide cohort study
Authors: Teppo Konsta , Jaakkola Jussi , Biancari Fausto , Halminen Olli , Putaala Jukka , Mustonen Pirjo , Haukka Jari , Linna Miika , Kinnunen Janne , Luojus Alex , Itäinen-Strömberg Saga , Penttilä Tero , Niemi Mikko , Hartikainen Juha , Airaksinen KE Juhani , Lehto Mika
Published: August 2022

Objectives

Mental health conditions (MHCs) have been associated with undertreatment of unrelated medical conditions, but whether patients with MHCs face disparities in receiving rhythm control therapies for atrial fibrillation (AF) is currently unknown. We assessed the hypothesis that MHCs are associated with a lower use of antiarrhythmic therapies (AATs).

Design

A nationwide retrospective registry-based cohort study.

Setting

The Finnish AntiCoagulation in Atrial Fibrillation cohort included records on all patients with AF in Finland during 2007–2018 identified from nationwide registries covering all levels of care as well as drug purchases. MHCs of interest were diagnosed depression, bipolar disorder, anxiety disorder, schizophrenia and any MHC.

Participants

We identified 239 222 patients (mean age 72.6±13.2 years; 49.8% women) with incident AF, in whom the prevalence of any MHC was 19.9%.

Outcomes

Primary outcome was use of any AAT, including cardioversion, catheter ablation, and fulfilled antiarrhythmic drug (AAD) prescription.

Results

Lower overall use of any AAT emerged in patients with any MHC than in those without MHC (16.9% vs 22.9%, p<0.001). Any MHC, depression, bipolar disorder, anxiety disorder and schizophrenia were all associated with lower incidence of any AAT with adjusted subdistribution HRs of 0.790 (95% CI 0.771 to 0.809), 0.817 (0.796 to 0.838), 0.811 (0.789 to 0.835), 0.807 (0.785 to 0.830) and 0.795 (0.773 to 0.818), respectively. Adjusted rates of AAD, cardioversion and catheter ablation use were lower in all MHC groups compared with patients without MHC. The findings in patients with any MHC were confirmed in propensity score matching analysis.

Conclusions

Among patients with AF, a clear disparity exists in AAT use between those with and without MHCs.

Trial registration number

ClinicalTrials Identifier:NCT04645537; ENCePP Identifier: EUPAS29845.
Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case–control study
Authors: Bennis Frank C , Hoogendoorn Mark , Aussems Claire , Korevaar Joke C
Published: August 2022

Objectives

Heart failure (HF) is a commonly occurring health problem with high mortality and morbidity. If potential cases could be detected earlier, it may be possible to intervene earlier, which may slow progression in some patients. Preferably, it is desired to reuse already measured data for screening of all persons in an age group, such as general practitioner (GP) data. Furthermore, it is essential to evaluate the number of people needed to screen to find one patient using true incidence rates, as this indicates the generalisability in the true population. Therefore, we aim to create a machine learning model for the prediction of HF using GP data and evaluate the number needed to screen with true incidence rates.

Design, settings and participants

GP data from 8543 patients (−2 to −1 year before diagnosis) and controls aged 70+ years were obtained retrospectively from 01 January 2012 to 31 December 2019 from the Nivel Primary Care Database. Codes about chronic illness, complaints, diagnostics and medication were obtained. Data were split in a train/test set. Datasets describing demographics, the presence of codes (non-sequential) and upon each other following codes (sequential) were created. Logistic regression, random forest and XGBoost models were trained. Predicted outcome was the presence of HF after 1 year. The ratio case:control in the test set matched true incidence rates (1:45).

Results

Sole demographics performed average (area under the curve (AUC) 0.692, CI 0.677 to 0.706). Adding non-sequential information combined with a logistic regression model performed best and significantly improved performance (AUC 0.772, CI 0.759 to 0.785, p<0.001). Further adding sequential information did not alter performance significantly (AUC 0.767, CI 0.754 to 0.780, p=0.07). The number needed to screen dropped from 14.11 to 5.99 false positives per true positive.

Conclusion

This study created a model able to identify patients with pending HF a year before diagnosis.
Constipation and GI diagnoses in children with solid tumours: prevalence and management
Authors: Belsky Jennifer , Stanek Joseph , Yeager Nicholas , Runco Daniel
Published: August 2022

Objectives

Despite continued development of targeted therapies for children with cancer, patients continue to experience an array of unwanted side effects. Children with solid tumours may experience constipation as a result of vinca alkaloid therapy, psychological stressors, periods of inactivity and opioid use. Our objective was to investigate the prevalence and treatment of constipation in hospitalised children with solid tumours treated with chemotherapy.

Methods

We retrospectively analysed data from 48 children’s hospitals in the Pediatric Health Information System, extracting patients 0–21 years of age with a solid tumour diagnosis hospitalised from October 2015 through December 2019.

Results

We identified 13 375 unique patients with a solid tumour diagnosis receiving chemotherapy. Constipation was the most common gastrointestinal complaint with 8658 (64.7%; 95% Cl: 63.9% to 65.5%) having a constipation diagnosis or having received at least two laxatives during admission. Bone cancers had the highest percentage (69.9%) of patients with constipation, while Hodgkin’s lymphoma had the lowest, although 52.1% of patients were affected. A total of 44% (n=35 301) of encounters received an opioid at some point during admission. Of patients receiving constipation medications, the most commonly prescribed was polyethyl glycol (n=25 175, 31.7%), followed by docusate (n=11 297, 14.2%), senna (n=10 325, 13.0%) and lactulose (n=5501, 6.9%).

Conclusions

Constipation is the most common gastrointestinal issue that children with solid tumours experience while receiving chemotherapy in the inpatient setting. Increased attention should be given to constipation prophylaxis and treatment in children with solid tumours undergoing chemotherapy, particularly those identified as high risk.
The palliative care triage system in advanced cancer emergency care: development and initial validation
Authors: Paiva Carlos Eduardo , Seriaco Fabíola de Lourdes Gonçalves de Fre , de Oliveira Marco Antônio , Nascimento Maria Salete de Angelis , Paiva Bianca Sakamoto Ribeiro
Published: August 2022

Objective

We aimed to develop and validate a new emergency triage tool for use on patients with cancer undergoing palliative care (PC).

Methods

In phase I, the new tool was developed after literature review and expert committee meetings. A prospective longitudinal study in phase II assessed the interobserver reliability of the tool. In phase III, a retrospective study of administrative data, the feasibility of routine use of the new tool and the associations with hospitalisation and survival times were evaluated.

Results

The palliative care triage system (PCTS) was composed of check-list items and four colour-coded categories for maximum response time. In phase II, the PCTS was independently evaluated by two nurses for 102 attendances in the emergency department of the PC unit. An absolute agreement of 87.3% and a weighted kappa of 0.81 were observed. In phase III, all 493 attendances had the PCTS assessment registered in the medical records. The PCTS categories were associated with hospital admission (p<0.001) and survival times (p<0.001).

Conclusion

PCTS is a feasible tool to be used in routine ED triage of patients with advanced cancer undergoing PC. It is a valid instrument for predicting hospital admission rates and survival with high interobserver concordance rates.
Assessment of a novel k–ω turbulence model for transonic centrifugal impeller simulations
Authors: Liu Zhiyuan , Wang Peng , Zhao Ben , Yang Ce
Published: August 2022

Numerical simulation of high pressure ratio transonic centrifugal compressors is challenging for the existing turbulence models. A lagged k–ω model proposed by Olsen and Coakley for nonequilibrium effects was first applied to simulate the transonic centrifugal impeller SRV2-O. As comparative case studies, four other turbulence models ( k–ω model, RNG k–ε model, SST-CC model, and EARSM model) were also computed. The comparison showed that ( i) the selection of the turbulence model had a great influence on SRV2-O impeller simulations; ( ii) the lagged k–ω model had an advantage over other models in terms of overall pressure ratio and internal flow characteristics; and ( iii) the lagged model predicted a smaller blockage area caused by leakage vortex breakdown than other models, closer to the experimental result. The detailed parameter examination indicated that the nonequilibrium parameter a0 in the lagged model had little influence on the Mach number distribution and choking mass flow rate but a significant influence on the static pressure on the shroud casing. For a higher Mach number compressor, a smaller a0 is recommended for bettering the simulation accuracy.
A precisely feasible gauged model of chiral boson with its BRST cohomological perspectives
Authors: Rahaman Anisur
Published: August 2022

We find that Siegel type chiral boson with a parameter-dependent Lorentz non-covariant masslike term for the gauge fields to be equivalent to the chiral Schwinger model with one parameter class of Faddeevian anomaly if the model is described in terms of Floreanini–Jackiw type chiral boson. By invoking the Wess–Zunino field gauge-invariant reformulation is made. It has been shown that the gauge-invariant model has the same physical content as its gauge non-invariant ancestor had. The BRST invariant effective action corresponding to this model has also been constructed. All the nilpotent symmetries associated with the BRST symmetry along with the bosonic, ghost, and discrete symmetries have been systematically studied. We establish that the nilpotent charges corresponding to these symmetries resemble the algebra of the de Rham cohomological operators in differential geometry. In the environment of conserved charges associated with the models, we study the Hodge decomposition theorem on the compact manifold.
Experimental study of the $$e^+e^-\rightarrow n{\bar{n}}$$ process at the VEPP-2000 $$e^+e^-$$ collider with the SND detector
Authors:   SND Collaboration, Achasov M. N. , Barnyakov A. Yu. , Beloborodov K. I. , Berdyugin A. V. , Berkaev D. E. , Bogdanchikov A. G. , Botov A. A. , Chizhik G. S. , Dimova T. V. , Druzhinin V. P. , Kardapoltsev L. V. , Kharlamov A. G. , Kladov V. A. , Koop I. A. , Korol A. A. , Kovrizhin D. P. , Kupich A. S. , Lysenko A. P. , Melnikova N. A. , Muchnoi N. Yu. , Obrazovsky A. E. , Pakhtusova E. V. , Perevedentsev E. A. , Pugachev K. V. , Serednyakov S. I. , Silagadze Z. K. , Shatunov P. Yu. , Shatunov Yu. M. , Shtol D. A. , Shwartz D. B. , Surin I. K. , Usov Yu. V. , Zemlyansky I. M. , Zhabin V. N. , Zhulanov V. V.
Published: August 2022

The process $$e^+e^-\rightarrow n{\bar{n}}$$

e
+

e
-

→
n

n

¯

is studied in the experiment at the VEPP-2000 $$e^+e^-$$

e
+

e
-

collider with the SND detector. The technique of the time measurements in the multichannel NaI(Tl) electromagnetic calorimeter is used to select $$n{\bar{n}}$$

n

n

¯

events. The value of the measured cross section in the center-of-mass energy range from 1.894 to 2 GeV varies from 0.5 to 0.35 nb. The effective neutron timelike form factor is derived from the measured cross section and compared with the proton form factor. The ratio of the neutron electric and magnetic form factors is obtained from the analysis of the antineutron polar angle distribution and found to be consistent with unity.
Possible connection between dark matter and supermassive black holes
Authors: Batic D. , Faraji J. Mojahed , Nowakowski M.
Published: August 2022

Dark Matter (DM) is usually studied in connection with rotational curves in the outskirts of the galaxies. However, the role of DM might be different in the galactic bulges and centers where Supermassive Black Holes (SMBHs) dominate the gravitational interaction. Indeed, given the fact that DM is the dominant matter species in the Universe, it is natural to assume a close connection between DM and SMBHs. Here we probe into this possibility by constructing stable objects with fuzzy mass distributions based on standard DM profiles. These astrophysical objects come out in three types: a fuzzy droplet without horizon and fuzzy Black Holes (BHs) with one or two horizons. We emphasize that all objects are solutions of Einstein equations. Their effective potentials which govern the motion of a test body, can display a reasonable similarity to the effective potential of a Schwarzschild BH at the galactic center. Therefore, some of our solutions could, in principle, replace the standard BH-picture of the galactic center and, at the same time, have the advantage that they have been composed of the main matter ingredient of the Universe.
Preparation and Characterization of a Red-Emitting, Long-Lasting, Stable, and Multi-Structure Luminous Material: SiO₂/RhB@SAOED/SMSOED
Authors: Zhu Yanan , Liao Yunzhen , Lu Bohui , Guo Xuefeng
Published: August 2022

In our previous study, it is found that Rhodamine B@SrAl2O4:Eu2+, Dy3+/Sr2MgSi2O7:Eu2+, Dy3+ can achieve the red shift of luminescence color, in order to improve the stability of the luminous material and reduce the loss of red luminescence emission in the subsequent application, the Rhodamine B@SrAl2O4:Eu2+, Dy3+/Sr2MgSi2O7:Eu2+, Dy3+ was coated with SiO2, and SiO2/RhB@SrAl2O4:Eu2+, Dy3+/Sr2MgSi2O7:Eu2+, Dy3+ was successfully synthesized by sol-gel method. The microstructure, surface structure, luminescence properties, afterglow properties, the coating effect and stability of the sample were studied by changing the SiO2 coating ratio and temperature during the coating process. The results showed that when the proportion of SiO2 coating is 30% and the temperature is 60 °C, the effect of SiO2 coating was best. As the proportion of SiO2 more than 30%, the absorption and release of light by the sample were greatly affected, and the afterglow performance decreased.
Review—Heteroatom-Doped High Porous Carbon Metal Free Nanomaterials for Energy Storage and Conversion
Authors: Parkash Anand , Solangi Nizamuddin , Seehar Tahir Hussain , Zhang Ge , Akram Muhammad , Ali Salamat
Published: August 2022

The fuel cell is one of the most environmentally friendly methods for sustainably converting chemical energy to electricity. The broad use of the oxygen reduction process (ORR) at the cathode has been hindered up until this point by the pricy platinum catalysts required. The amount of noble metal needed for the requisite catalytic effect may be reduced using nonprecious-metal catalysts. Still, they are either too expensive for the commercial mass production of clean energy or their energy conversion efficiency is too low. The cheap cost, broad surface area, high electrical conductivity, abundant electrocatalytic active sites, and corrosion-resistant features have led to a new class of carbon-based, metal-free catalysts. These catalysts might significantly reduce the price and increase the effectiveness of fuel cells when utilized as substitute ORR catalysts. This review article describes several metal-free carbon-based catalysts that have been developed employing very complex designs and rational heteroatom doping (by intrinsic and macroscopic tuning).
Nanosheet-Compatible Complementary-Field Effect Transistor Logic Non-Volatile Memory Device
Authors: Chang Shu-Wei , Chang Yu-Ming , Lee Wen-Hsi , Lee Yao-Jen , Lu Darsen D.
Published: August 2022

This study proposes a logic non-volatile memory (NVM) device based on the state-of-the-art gate-all-around (GAA) nanosheet process. By adopting a complementary FET structure, we not only reduce the layout footprint area but also demonstrate the compatibility with sub-3nm nanosheet CMOS technology. We simulated the device in TCAD for program and erase operations, considering both Fowler Nordheim tunneling and hot carrier injection mechanisms. The memory window is optimized by adjusting the device structure, such as tunneling and blocking oxide thicknesses, top- and bottom-channel width, and the floating gate length, resulting in a significant enhancement in the memory window. Finally, NAND/NOR type CFET logic NVM are demonstrated to reveal the possible applications of gate-all-around stacked junctionless nanosheet transistor towards embedded flash.
Conditionally reprogrammed asthmatic bronchial epithelial cells express lower FOXJ1 at terminal differentiation and lower IFNs following RV-A1 infection
Authors: Veerati Punnam Chander , Nichol Kristy S. , Read Jane M. , Bartlett Nathan W. , Wark Peter A. B. , Knight Darryl A. , Grainge Christopher L. , Reid Andrew T.
Published: August 2022

Primary bronchial epithelial cells (pBECs) obtained from donors have limited proliferation capacity. Recently, conditional reprogramming (CR) technique has overcome this and has provided the potential for extended passaging and subsequent differentiation of cells at air-liquid interface (ALI). However, there has been no donor-specific comparison of cell morphology, baseline gene expression, barrier function, and antiviral responses compared with their “parent” pBECs, especially cells obtained from donors with asthma. We, therefore, collected and differentiated pBECs at ALI from mild donors with asthma ( n = 6) for the parent group. The same cells were conditionally reprogrammed and later differentiated at ALI. Barrier function was measured during the differentiation phase. Morphology and baseline gene expression were compared at terminal differentiation. Viral replication kinetics and antiviral responses were assessed following rhinovirus (RV) infection over 96 h. Barrier function during the differentiation phase and cell structural morphology at terminal differentiation appear similar in both parent and CR groups, however, there were elongated cell structures superficial to basal cells and significantly lower FOXJ1 expression in CR group. IFN gene expression was also significantly lower in CR group compared with parent asthma group following RV infection. The CR technique is a beneficial tool to proliferate pBECs over extended passages. Considering lower FOXJ1 expression, viral replication kinetics and antiviral responses, a cautious approach should be taken while choosing CR cells for experiments. In addition, as lab-to-lab cell culture techniques vary, the most appropriate technique must be utilized to best match individual cell functions and morphologies to address specific research questions and experimental reproducibility across the labs.
[Retracted] Emotional Cognitive Expression in Lacquer Colors Based on Prior Knowledge
Authors: Wei Ping
Published: August 2022

Since lacquer painting first appeared in the world of art, research into it has grown steadily. People have developed a keen interest in modern lacquer painting as a result of the extensive study of lacquer culture in both domestic and international academic circles. Many artists and art enthusiasts have contributed significantly to the study and research of lacquer painting and have made helpful attempts at modern lacquer painting. But it is challenging to describe the emotion that a lacquer painting’s color conveys. This paper presents a decision‐making framework for emotional cognitive learning based on the theory of emotional cognitive evaluation because there are relatively few researchers who have specifically studied the relationship between the creation of lacquer paintings and emotions and because there are also few research materials and documents for reference. The assessment of an emotional state is the central component of this framework. The observation module in the model framework is used to gather the emotional data that the lacquer painting expresses. The issue of emotional expression in lacquer painting is resolved by the emotional evaluation system, which combines the preprocessed information with prior knowledge to evaluate. The importance of affective cognitive expression in lacquer painting and the necessity of affective computing in the fields of machine learning and decision control is obtained on the basis of discussing the research status and content of affective cognition and affective computing. The efficiency of expression was increased by 1.3 percent as a result.
A New Technique for Solving Neutral Delay Differential Equations Based on Euler Wavelets
Authors: Mohammad Mutaz , Trounev Alexander
Published: August 2022

An effective numerical scheme based on Euler wavelets is proposed for numerically solving a class of neutral delay differential equations. The technique explores the numerical solution via Euler wavelet truncated series generated by a set of functions and matrix inversion of some collocation points. Based on the operational matrix, the neutral delay differential equations are reduced to a system of algebraic equations, which is solved through a numerical algorithm. The effectiveness and efficiency of the technique have been illustrated by several examples of neutral delay differential equations. The main advantages and key role of using the Euler wavelets in this work lie in the performance, accuracy, and computational cost of the proposed technique.
Epifriedelanol and Dammara-20,24-dien-3-yl Acetate from Ethiopian Inula confertiflora Root Extract
Authors: Gashu Minbale
Published: August 2022

Phytochemical investigation of the ethanol extract of the root of Inula confertiflora afforded two rare triterpenoids, namely, epifriedelanol and dammara-20,24-dien-3-yl acetate, and their chemical structure was elucidated using appropriate techniques.
[Retracted] A Decision‐Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2‐Tuple Linguistic Neutrosophic Numbers
Authors: Yang Xiaoping , Shi Wensheng
Published: August 2022

A healthy body is the foundation of education, and the guiding ideology of health first requires that all educational work in schools should take the health of students as the starting point and be responsible for the health of students. Taking the development of students as the foundation, its essential meaning is to make students develop into a “complete person,” that is, to integrate and unify students’ morality, intelligence, physique, beauty, life, habits, morality, skills, and other elements. The establishment of the evaluation index system of sports health literacy is a complex evaluation system with multiple factors and multiple indicators. The university student sports study psychological healthy evaluation is always looked as the multiple attribute decision‐making (MADM) issue. In this paper, based on the generalized Heronian mean (HM) operator and generalized weighted HM (GWHM) operator, the generalized 2‐tuple linguistic neutrosophic HM (G2TLNHM) operator and generalized 2‐tuple linguistic neutrosophic weighted HM (G2TLNWHM) operator are proposed with 2‐tuple linguistic neutrosophic sets (2TLNSs). Finally, an example of university student sports study psychological healthy evaluation is used to show the proposed methods. Some comparative studies and parameter influence analysis on the final result are fully given. The results show that the built algorithms method is really useful for university student sports study psychological healthy evaluation.
Investigation of Arcing Time Prediction for Secondary Arc Based on Statistical Theory and Multivariable Regression Algorithms
Authors: Su Baihe , Liu Hongshun , Zhang Ziyue , Liu Luyao , Zhang Zhiyuan
Published: August 2022

Research on the secondary arc has long been important in the development of ultrahigh-voltage (UHV) transmission technology. Predicting the arcing time of secondary arc is important for single-phase automatic reclosing of the circuit breaker to protect the power system. In response to this problem, this study uses a multifactor variance model to select factors that significantly influence the arcing time and verifies its validity through residual analysis. The results show that the parameters of the circuit, such as wind direction, recovery voltage, secondary current, and arc length, significantly influence the arcing time. The density-based clustering algorithm (DBSCAN) is then used to remove outliers form the data, and the influence of each factor on the arcing time is analyzed through scatterplots. Finally, linear multivariate regression and nonlinear Gaussian process regression are used to fit the results. The results show that the linear regression has a good imitative effect. The proposed method is accurate and provides novel means of predicting the arcing time.
Text Clustering and Economic Analysis of Free Trade Zone Governance Strategies Based on Random Matrix and Subject Analysis
Authors: Meng LingYan
Published: August 2022

The steps of generating basic data by the LDA model and calculating text by the weighted algorithm have a good effect on text clustering. In this paper, the LDA topic model is used to effectively improve the accuracy of strategy text clustering. FTZ economics text clustering simulates FTA economics text data and economic data, imports economics and economic figures and word lists, and uses the traditional vector space model for factor representation. After that, the text vectors are independent of each other, ignoring the semantic relationship, which affects the clustering analysis results. A Chinese text clustering algorithm based on semantic clustering is proposed. Based on the principle of cooccurrence and semantic relevance of words, the algorithm uses the collocation vector of feature words to construct semantic clustering; find the document vector with embedded semantic information. Finally, document vectors with embedded semantic information are used. Finally, K vector is used for cluster analysis. The simulation analysis in this paper shows that the economic growth of the free trade zone is the largest under the economics guidance, which can reach 15%.
Sports Smart Data Writing Based on New-Type Semiconductor Nonvolatile Storage Mode
Authors: Guo Shengpeng
Published: August 2022

The development of smart sports has just taken a new chapter. Based on the digital transformation in all aspects today, the data content of smart sports with a large number of branches is huge. However, the current storage system, an external storage disk, has not adapted to the computer’s increasingly high requirements for IO performance; DRAM- and SRAM-based memory and cache also face power consumption and capacity expansion problems; the storage system on the overall performance of the computer system constraints is increasingly prominent. Based on the data storage of smart sports for digital transformation, this article proposes a smart for the writing of sports data; a better cache method has been explored under the new semiconductor nonvolatile cache mode. The experimental results in this article show that by comparing single-value and dual-value STT-RAM (spin-torque transfer RAM) caches, the three-valued cache with hierarchical mapping of page swap design has a significant improvement in IPC performance under each test load, compared with single-value STT-RAM caches. Compared with the value type, the average performance has increased by 16%; the overall energy consumption including memory has been reduced by an average of 12.3%.
Assessment of Polypharmacy, Drug Use Patterns, and Associated Factors at the Edna Adan University Hospital, Hargeisa, Somaliland
Authors: Sidamo Temesgen , Deboch Alemu , Abdi Mohamed , Debebe Fikru , Dayib Khalid , Balcha Balla Tamrat
Published: August 2022

Polypharmacy is the use of multiple drugs by a patient at the same time and is common in the elderly. To our knowledge, drug use patterns in Somaliland are rarely studied. The purpose of this study was to evaluate polypharmacy, drug use patterns, and their predictors at the Edna Adan University Hospital in Hargeisa, Somaliland. A retrospective cohort analysis of 1140 medical records and prescriptions over a year from August 28, 2019, to August 27, 2020, was reviewed. The data completeness and consistency were checked and entered with the SPSS version 25.0. The association between total polypharmacy and different variables was analyzed using multivariable binary logistic regression and expressed as an odds ratio (OR) and 95% confidence interval (CI). In addition, the World Health Organization’s core drug use and facility indicators were used to assess the drug use patterns. The overall polypharmacy in this study was 71%. Statistically significant association was observed between the polypharmacy and variables such as age (

P
=
0.01

; OR = 3.4, 95% CI = 1.9–6.1), chronic illness (

P
=
0.01

, OR = 8.6, 95% CI = 5.1–14.7), and comorbidity (

P
=
0.01

, OR = 5.2, 95% CI = 2.1–12.9). However, the ward admitted/visited and gender did not have a statistically significant association with polypharmacy. There was overuse of brand drugs (63.9%) and antibiotics (55.2%), while the use of injectables (19.9%) was within the acceptable range. Polypharmacy and overuse of brand drugs and antibiotics were prevalent in the study setting. Essential drugs list, formularies, and treatment and regulatory guidelines are needed in place to ensure appropriate drug use.
Association between Lipoprotein Subfractions, Hemostatic Potentials, and Coronary Atherosclerosis
Authors: Poropat Flerin Tadeja , Božič Mijovski Mojca , Jug Borut
Published: August 2022

Background. Dyslipidemias are associated with atherosclerotic plaque formation and a prothrombotic state, thus increasing the risk of both atherosclerotic vascular disease and atherothrombotic adverse events. We sought to explore the association between lipoprotein subfractions, overall hemostasis, and coronary calcifications in individuals at intermediate cardiovascular risk. Methods. Consecutive statin-naive individuals at intermediate cardiovascular risk referred for coronary artery calcium score (CACS) scanning were included. CACS was assessed using a 128-slice dual-source CT scanner. Traditional lipid profile, high-density lipoprotein (HDL) subfractions 2 and 3, and small dense low-density lipoproteins (sdLDL) were measured with commercially available assays. Overall hemostatic (OHP) and coagulation potentials (OCP) were measured spectrophotometrically, using fibrin aggregation curves after exposure to thrombin and recombinant tissue-type plasminogen activator, respectively. Overall fibrinolytic potential (OFP) was calculated as a difference between the two areas under curves. Results. We included 160 patients (median age 63 (interquartile range (IQR), 56-71 years, 52% women, and median CACS 8, IQR 0-173 Agatston units). HDL3 levels—but not sdLDL or hemostatic potentials—were significantly associated with CACS zero, even after adjusting for age, sex, arterial hypertension, dyslipidemia, diabetes, and smoking history (OR 0.980 (0.962-0.999),

p
=
0.034

). HDL3 was also significantly associated with OCP (

r
=
−
0.232

,

p

adjusted for age and sex 0.037). Conclusions. In patients at intermediate cardiovascular risk, HDL3 is associated with both subclinical atherosclerosis and overall coagulation. Our findings are in line with studies reporting on an inverse relationship between HDL3 and atherosclerosis and provide one possible mechanistic explanation for the association between novel lipid biomarkers and coagulation derangements.
An Evaluation Approach for Physical Education Teaching Practice Quality Using Stochastic Simulation Algorithm
Authors: Zhou Changlei , Ma Tingting
Published: August 2022

In order to increase the precision of the quality assessment of institution physical education, as well as teaching practice, the assessment system of institution physical education, as well as teaching practice quality, based on stochastic simulation algorithm, is put forward. Then, we construct the constraint parameter model of institution physical education, as well as teaching practice quality assessment, and analyze the hierarchical structure characteristics of institution physical education, as well as teaching practice quality. Subsequently we standardize the data fusion through the developmental characteristic analysis approach of teaching quality assessment and analyze the confidence level of institution physical education, as well as teaching practice quality, in order to construct frequent item set parameters. Moreover, we adopted the combination analysis approach of support and confidence level to analyze the correlation pattern and identify the characteristics, so as to recognize the characteristic analysis of institution physical education, as well as teaching practice quality level. The random simulation and association rule decision-making approaches are implemented to assess the quality level of institution physical education, as well as teaching practice, and the random simulation dynamic detection and the maximum matching degree analysis approach are implemented to assess the quality level of institution physical education, as well as teaching practice. The simulation outcomes confirm that the precision of this approach in evaluating the quality of institution physical education, as well as teaching practice, is considerably high, and the quality level of institution physical education, as well as teaching practice, is significantly increased.
[Retracted] Green Innovation and Enterprise Sustainable Development Performance Based on the SBM‐DEA Model
Authors: Han Ning , Li Feng , Long Jing , Liu Jing , Li Qianyun
Published: August 2022

Since the introduction of a low‐carbon economy, corporate performance is no longer limited to the evaluation of internal economic benefits but has become the performance of corporate sustainable development, adding environmental and social factors. Now, the whole world is paying attention to low consumption and low emission. As the main economic pillar of society, the enterprise undertakes the biggest low‐carbon task. In order to develop the economy in the longer term and meet the needs of society, enterprises must combine green innovation to evaluate the performance of sustainable development. However, because the previous model’s analysis of performance will produce distortion effects, the data error is also relatively large. Therefore, in order to solve these problems and make performance analysis more realistic, this paper deeply discusses the issue of green innovation and enterprise sustainable development performance. Using the method of the SBM‐DEA model, it analyzes the performance comparison of enterprises without and with the expected output and conducts a comparison experiment. The result shows that in 2017, the efficiency of company A without unexpected output was 0.6943. The efficiency with undesired output is 0.6643. In 2018, the efficiency of the enterprise without undesired output is 1, and the efficiency with undesired output is 1. After applying the model, it is obvious that the efficiency of computing performance has been greatly improved. Therefore, in order to better study the sustainable development performance of enterprises, the SBM‐DEA model should be focused on.
Electroacupuncture May Inhibit Oxidative Stress of Premature Ovarian Failure Mice by Regulating Intestinal Microbiota
Authors: Geng Zixiang , Nie Xiaoli , Ling Lele , Li Bingrong , Liu Peng , Yuan Long , Zhang Kaiyong , Liu Te , Zhang Bimeng
Published: August 2022

Premature ovarian failure (POF) is the leading cause of female infertility, and there is no optimal treatment or medication available currently. For POF, electroacupuncture (EA) has been considered a promising therapeutic approach, but the mechanism for this is not clear. In this study, we explored the effects of EA (CV4, ST36, and SP6) on oxidative stress and intestinal microbiota of high-fat and high-sugar- (HFHS-) induced POF mice. The development of mice follicles was observed by hematoxylin and eosin (HE) staining. The serum levels of estrone (E1), estrogen (E2), estriol (E3), and 21-deoxycortisol (21D) were measured by the HPLC-MS/MS method. The concentrations of Fe2+, superoxide dismutase (SOD), hydroxyl radical (·OH), glutathione (GSH), superoxide anion, and malondialdehyde (MDA) were measured by spectrophotometry. The 16S-rDNA sequencing was used to measure many parameters related to the host gut bacteriome and mycobiome composition, relative abundance, and diversity. mRNA expression levels of ferroptosis-related genes were determined by RT-qPCR. After 4 weeks of EA intervention in POF mice, mature follicles were increased and the levels of the sex hormone were improved. SOD activities, antisuperoxide activities, and GSH increased while MDA, ·OH, and Fe2+ decreased. In addition, EA also altered the intestinal microbiota. These results reveal that EA can effectively inhibit ovarian oxidative stress and the accumulation of Fe2+ in POF mice. It may be that the alteration in the intestinal microbiota is one of the potential mechanisms of EA treatment. These findings suggest that EA has clinical potential as a safe treatment for POF.
[Retracted] Analysis of News Dissemination Path and Impact of Big Data Technology in Public Health Emergencies
Authors: Zhang Zhian , Tang Jiayi
Published: August 2022

Throughout the past public health early warning work, there is still a lack of early warning. Therefore, starting from the reform of the public health early warning mechanism, this paper sorts out the design and development of our country’s public health early warning mechanism and its legal framework and further analyzes the unresolved problems that exist in early warning work. At this stage, our country’s public health departments have put forward targeted suggestions for improving the early warning mechanism for emergencies and stabilizing public order. In this context, the following data are obtained: (1) The timeliness under the big data model is 73.81%, the prudence is 84.25%, the sustainability is 96.28%; the timeliness under the data mining model is 61.98%, prudence is 77.58%, sustainability is 83.24%; and the timeliness of the intelligent computing model is 53.44%, prudence is 65.58%, and sustainability is 96.28%. (2) During public health emergencies, the path of news dissemination includes 54 people for radio and television communication, accounting for 13%; 98 people for digital communication, accounting for 24%; 73 people for digital TV communication, accounting for 19%; the number of public relations companies was 63 people, accounting for 16%; the number of people who reprinted and spread was 52 people, accounting for 12%; the number of people who searched and spread was 73 people, accounting for 19%; the number of people who spread mobile phone messages was 32 people, accounting for 9%. At this stage, according to the characteristics of public health emergencies, the problems existing in the early warning work are analyzed, and specific suggestions for improving the early warning mechanism of public health emergencies in our country are put forward to stabilize the “public order.” Research in this area is ongoing.
[Retracted] A Study on Glycyrrhiza glabra‐Fortified Bread: Predicted Glycemic Index and Bioactive Component
Authors: Prabhahar M. , K Gomathi , S Prakash , S Sendilvelan , M Saravana Kumar , GO Jijina , Varuvel Edwin Geo , Lenin A Haiter
Published: August 2022

Bread is one of the highest‐selling food products throughout the world. Lots of demand arose from the bread producers by the consumers to convert the traditional bread into functional food. In this study, normal bread was converted to functional herbal bread by infusing it with extracts of Glycyrrhiza glabra. The functional components of the Glycyrrhiza glabra were analyzed by liquid chromatography‐mass spectroscopy (LCMS). The antioxidant study revealed that the extract has high antioxidant potency. The present study also investigated the antidiabetic potency of the extract. Bread is fortified with various percentages of Glycyrrhiza glabra, such as 2, 4, and 6. The fortified bread was analyzed for various sensory and taste parameters. Biochemical assays such as the in vitro digestibility test and glycaemic index suggest that fortified bread reduces the glycaemic index. From the study, it was inferred that 6% of infused bread was found to have high potency as a functional food when compared to 2 and 4%. From the above study, it was suggested that fortified bread reduces the glycaemic index and is best suited for diabetic people and diet watchers.
[Retracted] Clinical Characteristics and Gene Mutation Analysis of Poststroke Epilepsy
Authors: Shen Deju , Deng Yuqin , Lin Chunyan , Li Jianshu , Lin Xuehua , Zou Chaoning
Published: August 2022

Epilepsy is one of the most common brain disorders worldwide. Poststroke epilepsy (PSE) affects functional retrieval after stroke and brings considerable social values. A stroke occurs when the blood circulation to the brain fails, causing speech difficulties, memory loss, and paralysis. An electroencephalogram (EEG) is a tool that may detect anomalies in brain electrical activity, including those induced by a stroke. Using EEG data to determine the electrical action in the brains of stroke patients is an effort to measure therapy. Hence in this paper, deep learning assisted gene mutation analysis (DL‐GMA) was utilized for classifying poststroke epilepsy in patients. This study suggested a model categorizing poststroke patients based on EEG signals that utilized wavelet, long short‐term memory (LSTM), and convolutional neural networks (CNN). Gene mutation analysis can help determine the cause of an individual’s epilepsy, leading to an accurate diagnosis and the best probable medical management. The test outcomes show the viability of noninvasive approaches that quickly evaluate brain waves to monitor and detect daily stroke diseases. The simulation outcomes demonstrate that the proposed GL‐GMA achieves a high accuracy ratio of 98.3%, a prediction ratio of 97.8%, a precision ratio of 96.5%, and a recall ratio of 95.6% and decreases the error rate 10.3% compared to other existing methods.
Data Image Aggregation Technology of Traffic Wireless Sensor Network
Authors: Xu Chujie , Du Yong , Zheng Wenjie , Liu Yan , Li Tiejun
Published: August 2022

A wireless traffic sensor network refers to the development of low-power and low-cost traffic sensors on both sides of the vehicle and road. The ability of self-organizing nodes is used to automatically create a network for real-time and accurate monitoring, identification, and monitoring of vehicles, to obtain complete road traffic information of the entire road network for traffic decision-making, and to facilitate the flow of people. This paper aims to study an intelligent traffic detection system based on a wireless sensor network, which collects real-time data information through sensor nodes and uses the wireless network to transmit the data information to the platform for monitoring so that the driver can understand the road in real time from a long distance Information and effective road safety guarantees. This paper firstly summarizes the wireless sensor network and data image aggregation technology, then experimentally explores the data collection planning based on the spatial self-association model, and secondly designs the wireless traffic sensor network design. Through comparative analysis of traffic flow, the experimental results show that the accuracy of using wireless traffic sensors is as high as 97%. It shows that the wireless traffic sensor improves the transmission efficiency and the ability of the network to pass.
Artificial Neural Network in Classification of Multisource Remote Sensing Images
Authors: Feng Li , Liao Weiling , Pang Jiawei , Hu Ronghao , Feng Lei
Published: August 2022

How to solve multi-category image recognition and meet a certain accuracy is a key issue in the research of high-resolution remote sensing images, and it is of great significance. This article mainly studies artificial neural network in the classification of multi-source remote sensing images. This paper improves the efficiency and accuracy of image segmentation by studying the principle and implementation process of image segmentation algorithm from the two aspects of initial segmentation and region merging; secondly, it studies the method of object feature quantization and the image of different object features on the classification results; and finally, it selects BP neural network. The network classification method classifies the image objects and realizes the extraction and classification of high-resolution remote sensing images. Experiments in this paper show that for multi-source remote sensing image data, the overall accuracy of the two parallel classification algorithms is very similar, and both are close to 85%, which has a good classification effect. When performing large-scale image classification, the terrain types in the image will be more complicated. In this case, the extraction accuracy relative to the artificial neural network classification method will decrease, and the classification time will also become longer. This paper proves through experiments that the classification method of multi-source remote sensing images based on artificial neural network is feasible and has certain advantages.