bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnitude and Factors Associated with Refer Results of Newborn Hearing Screening at Academic Tertiary Level Hospital, Addis Ababa, Ethiopia
Authors: Werkineh Haben Birhane , fröschl Uta , Gellaw Wale Limeneh , Untiso Fantu Lombamo , Negash Lense Gelaneh
Published: July 2022

Background. Hearing impairment is a leading cause of disability worldwide. Early identification and early intervention of hearing loss can prevent further disability in the development of speech, language, cognition, and other developmental domains. This study aimed to determine the magnitude and factors associated with the refer results of newborn hearing screening at an academic tertiary hospital. Methods. An institution-based time series cross-sectional study was conducted with a calculated sample size of 368 newborns selected by systemic random sampling from a total of 2087 newborns born in SPHMMC during the study period. Two stage screening protocol was conducted using Transient Evoked Otoacoustic Emission (TEOAE) on the first, followed by TEOAE and Auditory Brainstem Reflex (ABR) as a second stage for newborns with refer results. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 26.0. Bivariate and multivariate analyses between dependent and independent variables were performed using binary logistic regression with a significance level of

P

value <0.05. Result. Of the total sample size of 368 newborns, 62% (228) passed the first TEOAE and 38% (140) yielded refer results. From 121 who came for follow-up screening (6–28 days), 49.5% (60) passed the second TEOAE and 50.5% (61) had refer results. AABR screening of 61 newborns yielded pass in 11.5% (7) and refer result in 88.5% (54) newborns. Noise (AOR= 4.746, 95% CI 2.505–8.992,

P
<
0.001

), vernix caseosa (AOR= 19.745, 95% CI 9.057–43.043,

P
<
0.001

), and very low birth weight (AOR= 4.338, 95% CI 1.338–14.067,

P
=
0.015

) were found to be significantly associated with the refer rate of the first TEOAE test. Noise (AOR 39.445, 95% CI 5.974–260.467,

P
<
0.001

) and neonatal jaundice (AOR 21.633, 95% CI 1.540–303.994,

P
=
0.023

) were significantly associated with the follow-up screening refer result of TEOAE. Repeat TEOAE has decreased the refer rate from 38.0% (140/368) to 17.5% (61/349), 19 of which were lost to follow-up. AABR has decreased the overall refer rate from 17.5% to 15.5% (54/349). Conclusion. This study shows a significant number of newborns (15.5%) who need diagnostic audiologic work-up and may need intervention. Vernix caseosa and noise are avoidable factors, but newborns with jaundice and very low birth weight should be sent to ENT for screening.
[Retracted] Appropriate Supervised Machine Learning Techniques for Mesothelioma Detection and Cure
Authors: Saxena Komal , Zamani Abu Sarwar , Bhavani R. , Sagar K. V. Daya , Bangare Pushpa M. , Ashwini S. , Rahin Saima Ahmed
Published: July 2022

Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate numerous AI methodologies and consider the exact DM conclusion outcomes in this study, which focuses on DM determination. K‐nearest neighborhood, linear‐discriminant analysis, Naive Bayes, decision‐tree, random forest, support vector machine, and logistic regression analyses have been used in clinical decision support systems in the detection of mesothelioma. To test the accuracy of the evaluated categorizers, the researchers used a dataset of 350 instances with 35 highlights and six execution measures. LDA, NB, KNN, SVM, DT, LogR, and RF have precisions of 65%, 70%, 92%, 100%, 100%, 100%, and 100%, correspondingly. In count, the calculated complication of individual approaches has been evaluated. Every process is chosen on the basis of its characterization, exactness, and calculated complications. SVM, DT, LogR, and RF outclass the others and, unexpectedly, earlier research.
The Impact of Intelligent Accounting Information Management on Corporate Governance Information Transparency
Authors: He Baiyu
Published: July 2022

In order to improve the transparency of corporate governance information, this paper combines intelligent accounting information technology to analyze the information transparency in the process of corporate governance, analyzes the fast adaptive neighbor clustering algorithm, and realizes the joint spectral embedding of data by creating block diagonal anchor graphs. Moreover, this paper re-selects anchor points from the spectral embedding data and constructs a new block diagonal anchor graph. In addition, using the principle of adaptive nearest neighbor clustering, this paper performs structured graph learning on the block diagonal anchor graph matrix. After derivation, the Laplace eigenvalue decomposition problem of the whole graph in adaptive nearest neighbor clustering can be transformed into a block matrix singular value decomposition problem. The regression analysis shows that there is a linear correlation between the advanced degree of intelligent accounting information management technology and the transparency of corporate governance information.
Applications of Intelligent Model to Analyze the Green Finance for Environmental Development in the Context of Artificial Intelligence
Authors: Hemanand D. , Mishra Nilamadhab , Premalatha G. , Mavaluru Dinesh , Vajpayee Amit , Kushwaha Sumit , Sahile Kibebe
Published: July 2022

Green finance can be referred to as financial investments made on sustainable projects and policies that focus on a sustainable economy. The procedures include promoting renewable energy sources, energy efficiency, water sanitation, industrial pollution control, transportation pollution control, reduction of deforestation, and carbon emissions, etc. Mainly, these green finance initiatives are carried out by private and public agents like business organizations, banks, international organizations, government organizations, etc. Green finance provides a financial solution to create a positive impact on society and leads to environmental development. In the age of artificial intelligence, all industries adopt AI technologies. In this research, we see the applications of the intelligent model to examine the green finance for ecological advancement with regard to artificial intelligence. Feasible transportation and energy proficiency and power transmission are two significant fields to be advanced and focused on minimizing the carbon impression in these industries. Renewable sources like solar energies for power generation and electric vehicles are to be researched and developed. This R&D requires a considerable fund supply, thus comes the green finance. Globally, green finance plays a vital role in creating a sustainable environment. In this research, for performing the green finance analysis, financial maximally filtered graph (FMFG) algorithm is implemented in different domains. The proposed algorithm is compared with the neural model and observed that the proposed model has obtained 98.85% of accuracy which is higher than the neural model.
Extension of the Simulation Model of Bubble Growth during Phase Change Heat Transfer Using Volume of the Fluid Flow Model
Authors: Kalim Muhammad , Ali Asif Iqbal , Khan Adnan
Published: July 2022

Nucleate boiling is used in numerous engineering applications, such as the chemical, manufacturing, thermal, nuclear, and electronic industries. This research paper deals with the numerical analysis of bubble growth using a fluid flow model. This physical phenomenon of bubble growth has not been discussed mechanically and does not throw light on empirical models. We are discussing this phenomenon in another way to get the required results in this paper. Simulation of bubble growth is already published by measuring the volume of fluid flow; the method is known as VOFF tracking method. Lee’s model has already discussed the phase change that occurs due to evaporation and condensation of the fluid. We have used the method in which the equation terms involving energy and mass source caused by phase change are incorporated into the control equations by additional subroutines written in C language. We have mentioned in detail the results of simulating mass transfer caused by phase change and the effect of subcooling on bubble growth. The results thus obtained show that the subcooling effect prevents the growth of bubbles from growing due to the certain amount of bubble caps in the subcooled area. The effect of evaporation of the liquid increases the size of the bubbles in both the subcooled and the superheated zone.
Differential Expression Profiles of mRNA and Noncoding RNA and Analysis of Competitive Endogenous RNA Regulatory Networks in Nonalcoholic Steatohepatitis
Authors: Gao Mengjia , Xin Jingxin , Li Xiaoling , Gao Ling , Shao Shanshan , Zhao Meng
Published: July 2022

Nonalcoholic steatohepatitis (NASH) is a liver disease caused by multiple factors, and there is no approved pharmacotherapy. The pathogenesis of NASH remains underexplored. In this study, differentially expressed circular RNAs (circRNAs) were obtained by analyzing NASH-related circRNA datasets, and then, corresponding target microRNAs (miRNAs) and messenger RNAs (mRNAs) were predicted to construct a circRNA–miRNA–mRNA regulatory network. On this basis, a total of 38 circRNAs, 7 miRNAs, and 10 mRNAs were screened out. The present study reveals novel circRNA biomarkers of NASH and reports a potential competing endogenous RNA (ceRNA) regulatory network that might provide insights for further investigation into the underlying pathogenesis of NASH.
Mindfulness-Based Stress Reduction in Breast Cancer Survivors with Chronic Neuropathic Pain: A Randomized Controlled Trial
Authors: Shergill Yaadwinder , Rice Danielle B. , Khoo Eve-Ling , Jarvis Virginia , Zhang Tinghua , Taljaard Monica , Wilson Keith G. , Romanow Heather , Glynn Brittany , Small Rebecca , Rash Joshua A. , Smith Andra , Monteiro Lynette , Smyth Catherine , Poulin Patricia A.
Published: July 2022

Context. Many breast cancer survivors live with chronic neuropathic pain (CNP) after breast cancer treatment. Despite pharmacological management of CNP, many women continue to report disabling pain and reduced quality of life. Addressing pain with psychosocial interventions as an adjunct to pharmacological treatment is often recommended for CNP. Objectives. The purpose of this study was to compare the effects of group-delivered mindfulness-based stress reduction as compared to a waitlist control group among breast cancer survivors living with CNP. Methods. A randomized controlled trial design was applied, and outcomes collected included pain, emotional function, quality of life, and global impression of change. Results. A total of 98 women were randomized and included in analyses. The sample included 49 women in the mindfulness-based stress reduction group, and 49 women in the waitlist control group. The intervention group participants (mean age 51.3 years, standard deviation = 11.4) and waitlist participants (mean age 55.1 years, standard deviation = 9.6) reported an average pain duration of approximately three years. No significant differences were found on the primary outcome of the proportions of women with reduced pain interference scores from the time of randomization to 3 months after the intervention was received. No significant changes were found among secondary outcomes. Conclusion. Our randomized clinical trial did not find significant benefits of group-based mindfulness-based stress reduction for the management of CNP. The current study findings should be replicated and are important to consider given ongoing concerns that nonsignificant results of mindfulness-based stress reduction are often unpublished.
Group Public Key Encryption with Equality Test under Standard Model
Authors: Deng Xiangtian , Qian Haifeng
Published: July 2022

Group public key encryption with equality test (G-PKEET) scheme supports group granularity authorization on the equality test. An authorized proxy is able to check whether two ciphertexts belonging to the same group are encrypted from identical plaintext without decrypting them. However, in indistinguishability-based security notion, current existing PKEET and G-PKEET schemes do not allow adversary to invoke equality test as a service. In contrast, under practical circumstance, an adversary is probably able to exploit the equality test service offered by proxy to decipher a ciphertext, leading to unexpected and unwanted privacy leakage. In this paper, we propose a security definition that includes the abovementioned adversary ability. Through extending the functionality of current G-PKEET scheme, we design a concrete scheme that satisfies our new security definition. Furthermore, our G-PKEET scheme is the first G-PKEET scheme whose security properties can be proved under the standard model.
Design of Exercise Grading System Based on Text Similarity Computing
Authors: Chen Miao , Dong Yazhou
Published: July 2022

Text similarity, as an important basis for scoring subjective items in the examination, directly determines the examination results of candidates and the work efficiency of teachers. Therefore, this paper first introduces the theoretical basis of text similarity computing and compares different calculation methods. Then, the text-similarity algorithm is designed, where by conceptualizing text terms, the computing methods based on corpus and knowledge base are combined. Then, according to the similarity computing model of text terms, an automatic grading system for exercises is designed, including the design of technical architecture, the design of functional modules, and the realization process of comprehensive grading. Among them, the grading module is the core module of the system and the key to automatic grading. The systematic test results show that the problem scoring system designed in this paper has little difference from manual marking and can achieve good scoring results.
The Prediction of Sinter Drums Strength Using Hybrid Machine Learning Algorithms
Authors: Ren Xinying , Yang Bing , Luo Ning , Li Jie , Li Yifan , Xue Tao , Yang Aimin
Published: July 2022

The prediction model with the sinter drum strength as the evaluation index was established based on the index data and historical sintering data generated during the sintering process. The regression prediction model in the algorithm of machine learning was applied to the prediction of the strength of the sinter drum. After verifying the feasibility of drum strength prediction, different data preprocessing methods were used to preprocess the data. Ten regression prediction algorithms such as linear regression, ridge regression, regression tree, support vector regression, and nearest neighbor regression were used for predicting the sinter drum strength to obtain preliminary prediction results. By comparing the prediction results, the most suitable combinations of data preprocessing algorithms and prediction algorithms for sinter drum strength prediction is obtained. The prediction results show that, for the drum strength of the sinter, using the function data standardization algorithm for data preprocessing has the best effect. Then, using gradient boosting regression, random forest regression, and extra tree regression prediction algorithms resulted in higher prediction accuracy. On this basis, the regression prediction model algorithm parameters are optimized and improved. The parameters of the regression prediction algorithm that are most suitable for the prediction of sinter drum strength are obtained.
On 1‐Absorbing Prime Hyperideal and Some of Its Generalizations
Authors: Anbarloei M.
Published: July 2022

In this paper, we introduce the concept of 1‐absorbing prime hyperideals which is an expansion of the prime hyperideals. Several properties of the hyperideals are provided. For example, it is proved that if a strong C‐hyperideal I of R is 1‐absorbing prime that is not prime, then R is a local multiplicative hyperring. Moreover, we introduce and study the notions of 1‐absorbing primary hyperideals, strongly 1‐absorbing primary hyperideals and weakly 1‐absorbing primary hyperideals which are generalizations of the 1‐absorbing prime hyperideals. We also examine the relations between these new concepts and other hyperideals.
Evaluation Factors and Pricing Stochastic Model of Contemporary Art
Authors: Chen Yufei
Published: July 2022

Contemporary art is the artwork created by currently active artists. As a result, it reflects the many complexities that shape our varied, global, and continuously changing world. Many modern artists use their work to investigate personal or cultural identity, criticize societal and institutional frameworks, or even redefine art itself. The current chaotic phenomena of art market prices has an impact on the development of art, particularly substantial price fluctuations, resulting in a number of problems that are preventing the art market from developing. The aim of this paper is to get a greater understanding of art, as well as a novel approach of evaluating art and a mathematical stochastic model for estimating its price. This paper investigates the pricing method and model by looking at the cultural basis of art, modelling, decoration, market supply and demand, product practicability, and random elements, among other things, in order to help the art market flourish and allow artists to consume. The model test results clearly demonstrate the rationality of the indicator selection, indicating that the pricing model is well designed.
Gene Expression Analysis Reveals Prognostic Biomarkers of the Tyrosine Metabolism Reprogramming Pathway for Prostate Cancer
Authors: Li Wei , Lu Zhe , Pan Dongqing , Zhang Zejian , He Hua , Wu Jiacheng , Peng Naixiong
Published: July 2022

Background. Tyrosine metabolism pathway-related genes were related to prostate cancer progression, which may be used as potential prognostic markers. Aims. To dissect the dysregulation of tyrosine metabolism in prostate cancer and build a prognostic signature based on tyrosine metabolism-related genes for prostate cancer. Materials and Method. Cross-platform gene expression data of prostate cancer cohorts were collected from both The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Based on the expression of tyrosine metabolism-related enzymes (TMREs), an unsupervised consensus clustering method was used to classify prostate cancer patients into different molecular subtypes. We employed the least absolute shrinkage and selection operator (LASSO) Cox regression analysis to evaluate prognostic characteristics based on TMREs to obtain a prognostic effect. The nomogram model was established and used to synthesize molecular subtypes, prognostic characteristics, and clinicopathological features. Kaplan–Meier plots and logrank analysis were used to clarify survival differences between subtypes. Results. Based on the hierarchical clustering method and the expression profiles of TMREs, prostate cancer samples were assigned into two subgroups (S1, subgroup 1; S2, subgroup 2), and the Kaplan–Meier plot and logrank analysis showed distinct survival outcomes between S1 and S2 subgroups. We further established a four-gene-based prognostic signature, and both in-group testing dataset and out-group testing dataset indicated the robustness of this model. By combining the four gene-based signatures and clinicopathological features, the nomogram model achieved better survival outcomes than any single classifier. Interestingly, we found that immune-related pathways were significantly concentrated on S1-upregulated genes, and the abundance of memory B cells, CD4+ resting memory T cells, M0 macrophages, resting dendritic cells, and resting mast cells were significantly different between S1 and S2 subgroups. Conclusions. Our results indicate the prognostic value of genes related to tyrosine metabolism in prostate cancer and provide inspiration for treatment and prevention strategies.
Development of Interactive Teaching of Physical Dance Based on Dynamic Time Reversion Technique
Authors: Li Xue , Yang Yaqi
Published: July 2022

In order to cultivate students’ dance expression, in physical dance teaching, emphasis should be placed on cultivating students’ interest in physical dance, strengthening the training of movement skills and musical rhythm, training of cultural cultivation, and training of coordination and cooperation between male and female partners. In this paper, we design a dance teaching aid based on DTW (Dynamic Time Warping) movement similarity evaluation algorithm. The evaluation of movement similarity is difficult because each movement is multidimensional, there is a lot of noise when the movement data are collected, and there is high variability in the performance of different individuals, and the real-time requirement of movement similarity evaluation. In the teaching practice, we should pay attention to the cultivation of students’ dance expression, so that students can match the music and make coordinated sports dance movements, realize the integration of music and dance, and improve the professional standard.
Correlation between Cardiac Ultrasound-Related Indicators and Cardiac Function in Patients with Coronary Heart Disease and Heart Failure
Authors: Tian Min , Wang Yuhong , Ren Xingxiang , Zhao Shufan , Wang Xiaoyan
Published: July 2022

Objective. The purpose of this paper is to analyse the correlation between cardiac ultrasound-related indicators and cardiac function in patients with coronary heart disease and heart failure. Methods. In this experiment, a total of 160 patients with coronary heart disease and heart failure who were diagnosed and treated in our hospital from June 2019 to March 2021 were recruited as the study group. All were examined by colour Doppler ultrasound instrument, SPSS statistical software was used to analyse the data obtained, and Spearman correlation was used to analyse the correlation between cardiac ultrasound-related indicators and cardiac function in patients with coronary heart disease and heart failure. Results. In the study group, there were 68 patients with grade II cardiac function, accounting for 42.50%; 74 patients with grade III, accounting for 46.25%; and 18 patients with grade IV, accounting for 11.25%. The ultrasound parameters of the patients in the study group were profiled and calculated, and then statistically analysed with cardiac function grading. Cardiac function classification was significantly positively correlated with LVMI, LAD, and LVEDd (r = 0.689/0.915/0.928,

P
=
0.001

) and significantly negatively correlated with CI, LVFS, and LVEF (r = −0.689/−0.878/−0.912),

P
=
0.001

). Conclusion. Cardiac ultrasound-related indicators are associated with patients with coronary heart disease and heart failure. With the decline of cardiac function in patients with coronary heart disease and heart failure, the patient’s condition is aggravated. Therefore, cardiac ultrasound-related indicators play a major role in the diagnosis of clinical disease progression.
Interfacial Transport Study of Ultra-Thin InN-Enhanced Quantum Dot Solar Cells
Authors: Wang Shuaijie , Zhang Dong , Ju Zhenhe
Published: July 2022

For human society, all activities require energy support. Solar cells are a means of converting solar energy into electrical energy using the photovoltaic effect of semiconductor materials. This photoelectric absorber layer has been developed for more than 70 years. Currently, the layered solar panel industry has achieved an energy conversion efficiency of 47%. In addition to efficiency, the cost of solar cells has been optimized, and the cost of commercial silicon solar cells has been greatly reduced. There is an urgent need for energy transfer research through the solar cell interface. Many researchers are studying and discovering new elements in this field. On this basis, the transmission ion interface of ultra-thin in-amplified quantum solar cell panels was studied, and very effective conclusions were drawn on the basis of experimental preparation and analysis.
Psychological Factors and Innovation Performance of Scientific and Technological Personnel: The Mediating Role of Proactive Behavior and the Moderating Role of Organizational Support
Authors: Li Chunhui
Published: July 2022

The personal innovation of scientific and technological personnel not only provides the fundamental power for the innovation of enterprises, but also lays a solid foundation for enterprises innovation. In current study total 1050 scientific and technical staff questionnaires, empirical analysis of individual psychological contracts, psychological capital on personal proactive behavior of the employees, and a unique performance mechanism were used. The result can be drawn that the psychological contract of an individual and psychological capital factors on personal proactive behavior are more meaningfully and positively linked to innovation performance, intermediary between individual innovation performance, organizational support in individual psychological contracts, psychological capital, and proactive behavior.
Application of Prescription Reviews for Traditional Chinese Medicine to Improve Medical Disputes and Patient Satisfaction
Authors: Yu Chunlan , Xu Shanmei
Published: July 2022

Objective. Medical disputes and patient satisfaction are related to inappropriate prescribing practices. We aim to investigate the clinical application of prescription reviews for traditional Chinese medicine (TCM). Method. TCM prescriptions performed prescription reviews in 372 patients from the year 2019 to 2020 were set as the observation group and those from the year 2017 to 2018 without prescription reviews as the control group (n = 341). According to the Criteria for Assessing Prescription Quality in Chinese Hospitals (CAPQCH) items, “Irrational” and “Rational” TCM prescriptions were determined mainly based on the following category: nonstandard prescriptions, inappropriate prescriptions, and hypernormal prescriptions. The incidence of medical disputes and the degree of patient satisfaction were compared between the two groups. Result. No difference was found in age and gender between the control group and the observation group. The number of irrational TCM prescriptions from the year 2017 to 2020 was 6, 8, 2, and 3, respectively, with the percentage of 3.725%, 4.480%, 1.201%, and 1.446%. The irrational rate in the observation group (1.344%) was significantly lower than that in the control group (4.106%). Specifically, a higher rate of nonstandard prescriptions was revealed in the control group as compared with the observation group. Moreover, a reduced incidence of medical disputes was revealed in the observation group relative to the control group accompanying with the increased degree of patient satisfaction. Conclusion. Prescription reviews have high application value in the management of Chinese pharmacies, which can improve the rationality of prescriptions, increase patient satisfaction, and reduce medical disputes.
Effective Analysis of Multichannel Functional Electrical Stimulation plus Early Rehabilitation Training for Hemiplegic Patients after Stroke
Authors: Hou Yan , Yang Li
Published: July 2022

Purpose. The research paper aims to investigate the value of multichannel functional electrical stimulation (FES) plus early rehabilitation training for hemiplegic patients after stroke attacks and assesses the impact of the combined therapy on walking capacity and daily life activities of patients. Methods. Totally, 100 hemiplegic patients after stroke treated in No. 215 Hospital of Shaanxi Nuclear Industry from March 2019 to July 2020 were recruited and randomized into the control group and study group, with 50 cases in each group. The control group received early rehabilitation training, and the study group received multiple channel FES plus early rehabilitation. The rehabilitation effective rate, the Fugl–Meyer Assessment (FMA), the Berg Balance Scale (BBS), National Institutes of Health Stroke Scale (NIHSS), Barthel index (BI), the Quality of Life index (QLI), Mental Status Scale in Nonpsychiatric Settings (MSSNS), Self-rating Anxiety Scale (SAS), Self-rating depression scale (SDS), and the incidence of adverse response were evaluated. Results. The study group patients had higher scores in FMA, BBS, BI, and QLI than the control group. Multiple channel FES plus early rehabilitation adopted in the study group resulted in a higher rehabilitation efficacy and a longer walking duration at 1, 2, and 4 weeks after the treatment. NIHSS score, MSSNS score, SAS score, SDS score, and incidence rate of adverse response in the study group were significantly lower compared to those of the control group. Conclusions. Multichannel FES plus early rehabilitation training effectively enhances the rehabilitation of patients after stroke attacks.
Keyword Detection of Japanese Media Teaching Based on Support Vector Machines and Speech Detection
Authors: Qiu Bo
Published: July 2022

The keyword detection of Japanese speech in streaming media has a certain effect on our study of Japanese information and a certain promotion effect on Japanese teaching. Currently, there is a problem of stability in the detection model of Japanese speech keywords. In order to improve the detection effect of Japanese speech keywords in streaming media, based on SVM, this study constructed a detection model of Japanese speech keywords in streaming media based on support vector machine. Moreover, this study analyzes the problem of SVM probability output and the comprehensive problem of SVM confidence, etc. In addition, by comparing the effect of confidence synthesis with the arithmetic average method, we found that the confidence obtained by SVM can obtain a higher recognition rate under the same rejection rate and improve the overall performance of the system. Finally, this study uses the difference comparison test to analyze the performance of the model proposed in this study. The research results show that the algorithm proposed in this paper has good performance and can be used as a follow-up system algorithm.
Mechanisms Linking Vitamin D Deficiency to Impaired Metabolism: An Overview
Authors: Mohd Ghozali Nurulmuna , Giribabu Nelli , Salleh Naguib
Published: July 2022

Vitamin D deficiency is a common health problem worldwide. Despite its known skeletal effects, studies have begun to explore its extra-skeletal effects, that is, in preventing metabolic diseases such as obesity, hyperlipidemia, and diabetes mellitus. The mechanisms by which vitamin D deficiency led to these unfavorable metabolic consequences have been explored. Current evidence indicates that the deficiency of vitamin D could impair the pancreatic β-cell functions, thus compromising its insulin secretion. Besides, vitamin D deficiency could also exacerbate inflammation, oxidative stress, and apoptosis in the pancreas and many organs, which leads to insulin resistance. Together, these will contribute to impairment in glucose homeostasis. This review summarizes the reported metabolic effects of vitamin D, in order to identify its potential use to prevent and overcome metabolic diseases.
Design of Intelligent Fire Alarm System Based on Multisensor Data Fusion
Authors: Li Mengjie , Liu Chao
Published: July 2022

With the rapid development of today’s alarm system, the market demand for an intelligent alarm system is increasing. The traditional alarm system needs technological progress/advancement to meet the needs of the society, and the alarm system needs to develop in the direction of integration, both digitally and professionally. The intelligent fire warning systems using integrated multisensor digital data integration techniques can obtain the data information of the measured object more accurately and comprehensively from multiple dimensions, to improve the system alarm accuracy. This article aims to study the application of multisensor data fusion technology in intelligent fire alarm systems. For the issue of multivalued bias of the ID3 algorithm, this paper proposes the CAC_ID3 algorithm. Through the C4.5, the CART and the ID3 algorithm are compared and analyzed on the F1 value and the correct rate of the multisensor intelligent fire alarm data is set, and experiments show that the correct rate and F1 value of the CAC_ID3 algorithm are 1, which are higher than the other three algorithms. This shows that the CAC_ID3 algorithm has good classification effect and superior performance.
Solutions of a Class of Multiplicatively Advanced Differential Equations II: Fourier Transforms
Authors: Pravica David W. , Randriampiry Njinasoa , Spurr Michael J.
Published: July 2022

For a wide class of solutions to multiplicatively advanced differential equations (MADEs), a comprehensive set of relations is established between their Fourier transforms and Jacobi theta functions. In demonstrating this set of relations, the current study forges a systematic connection between the theory of MADEs and that of special functions. In a large subset of the general case, we introduce a new family of Schwartz wavelet MADE solutions

W

μ
,
λ

t

for

μ

and

λ

rational with

λ
>
0

. These

W

μ
,
λ

t

have all moments vanishing and have a Fourier transform related to theta functions. For low parameter values derived from

λ

, the connection of the

W

μ
,
λ

t

to the theory of wavelet frames is begun. For a second set of low parameter values derived from

λ

, the notion of a canonical extension is introduced. A number of examples are discussed. The study of convergence of the MADE solution to the solution of its analogous ODE is begun via an in depth analysis of a normalized example

W

−
4
/
3
,
1
/
3

t

/

W

−
4
/
3
,
1
/
3

0

. A useful set of generalized

q

-Wallis formulas are developed that play a key role in this study of convergence.
Transcriptomic Analysis and Histological Alteration of Black Sea Bream (Acanthopagrus schlegelii) Liver Fed Different Protein/Energy Ratio Diets
Authors: Wang Lei , Sagada Gladstone , Wang Bin , Xu Bingying , Zhen Lu , Yan Yunzhi , Shao Qingjun
Published: July 2022

To systematically investigate the effects of different protein/energy (P/E) ratio diets on the microstructure and metabolic response of black sea bream liver, fish (initial weight

11.20
±
0.20

 g) were fed three isoenergetic (20.9 kJ/g) diets with varying protein/lipid levels (LR, 28.8% protein/26.3% lipid; MR, 37.5% protein/20.9% lipid; and HR, 42.8% protein/17.3% lipid, P/E ratio increased gradually) for 8 weeks. The lipid and glycogen contents in the liver decreased with increasing dietary P/E ratios (

P
<
0.05

). Histological observation found that the liver of the LR group presented many adipose cells, along with polarized nucleus, massive lipid droplets, and unclear organelle structure. The liver cellular structures of MR and HR groups were normal with some small unmatured lipid droplets. RNA-Seq was applied to investigate the hepatic transcriptome response to different P/E ratio diets of black sea bream. Different levels of gene expressions were identified in the signaling pathways related to energy metabolism, amino acid metabolism, lipid metabolism, carbohydrate metabolism, immune system, etc. The LR diet inhibited the genes related to lipid oxidation, glycolysis, and protein metabolism, whereas the HR diet inhibited those of glycolysis and protein catabolism. The present study provides a comprehensive understanding of the molecular mechanisms behind the effects of different P/E ratio diets on the liver metabolism of black sea bream.
Teaching Effect Evaluation Mechanism of English MOOC Combined with LS-SEM Intelligent System
Authors: Liu Jing
Published: July 2022

In order to improve the effect of English teaching, this article analyzes the MOOC teaching system, constructs an evaluation mechanism combined with the LS-SEN intelligent system, and obtains an intelligent English MOOC teaching effect evaluation system. According to the actual needs of English MOOC teaching effect evaluation, this article proposes an integrated method LS-Ensem algorithm for continuous modeling from the perspective of gradient descent. At the same time, this article uses the commonly used variance function as the loss function, combined with repeated iterations to improve the running accuracy of the algorithm. In addition, this article constructs an intelligent system structure based on the actual needs of English MOOC teaching. According to the experimental research, the teaching effect evaluation mechanism of English MOOC combined with the LS-SEM intelligent system can play an important role in English MOOC teaching.
An Intelligent Bridge Management and Maintenance Model Using BIM Technology
Authors: Zhou Zijun
Published: July 2022

In recent years, the bridge construction industry of China has developed rapidly. With the increase in bridge service lifetime, numerous damages and cracks have appeared that pose a direct threat to its structure and transportation safety. Therefore, a new approach to bridge management and maintenance is proposed using building information modeling (BIM) system. The objective of this paper is to monitor and manage bridge problems in real time. It will develop an intelligent bridge management and maintenance system model. This system will improve bridge management and maintenance and reduce the number of accidents on unsafe bridges. According to the data, the management and maintenance units can adopt scientific and reasonable methods to manage and restore bridges. This will ensure the safety and property of people. To improve the efficiency of bridge management and maintenance, a visible and accurate model is built with a combination of BIM technology. In this model, bridge damages are controlled and analyzed using BIM technology. The results show that the changes in the cracks and damage to the bridge within a year continue to rise from January to September and decrease from September to October. The crack of width and length continues to increase from October to December. As a case study, Tianyuan Bridge is selected to evaluate the technical condition of the bridge. The overall evaluation of the bridge result indicates a class II bridge.
Anti-Inflammatory Potentials of β-Ketoester Derivatives of N-Ary Succinimides: In Vitro, In Vivo, and Molecular Docking Studies
Authors: Alqahtani Yahya S. , Jan Muhammad Saeed , Mahnashi Mater H. , Alyami Bandar A. , Alqarni Ali O. , Rashid Umer , Mahmood Fawad , Tariq Muhammad , Sadiq Abdul
Published: July 2022

Inflammation, being a well-known and complex pathological condition, is always a challenge to the human health. This research work was designed for a rationale-based anti-inflammatory study on β-ketoester derivatives of N-ary succinimides. The compounds (A–D) were synthesized by organocatalytic Michael addition. The compounds were initially screened for in vitro 5-lipoxygenase (5-LOX) and cyclooxygenase (COX-2) assays. For the in vivo activity, carrageenan-induced paw edema and arachidonic acid-induced ear edema tests were used. Furthermore, different in vivo pathways such as prostaglandins E2, histamine, leukotriene, and bradykinin were studied. The results were supported with molecular docking studies. Among the compounds, D (ethyl 1-(1-benzyl-2,5-dioxopyrrolidin-3-yl)-2-oxocyclohexane-1-carboxylate) at a concentration of 1000 μg/ml showed significant inhibitory effects of 83.67% and 78.12% against COX-2 and 5-LOX in comparison to celecoxib and zileuton, respectively. Similarly, compound D also showed excellent in vivo anti-inflammatory potential. Amongst all the compounds, D demonstrated excellent (55.92 ± 2.95%) anti-inflammatory potential at maximum tested dose (100 mg/kg) which accomplished the highest significance at 4 h following the carrageenan insertion and stayed considerable (

∗
∗
∗

P
<
0.001

) till the 5th hour of test sample injection. Compound D also exhibited excellent percent inhibition (63.81 ± 2.24%) at the highest dose in arachidonic acid-induced ear inflammation. On the basis of in vivo and in vitro results, compound D was subjected to various inflammation-causing agents such as histamine, prostaglandins E2, bradykinin, and leukotriene via the mouse paw edema test. Compound D revealed moderate effect (28.10 ± 1.64%) against histamine-induced paw edema while nonsignificant result (9.72 ± 3.125%) was marked for the bradykinin pathway. Compound D showed significance against edematogenic consequence of prostaglandin E2 (56.28–72.03%) and leukotriene (55.13 ± 2.25%) induced inflammation. In summary, our findings recommended that compound D possesses double acting anti-inflammatory properties inhibiting both COX and LOX pathways. Binding orientations and energy values computed via docking simulations support the results of the experimental in vitro evaluation.
Worse Disease Prognosis Is Associated to an Increase of Platelet-Derived Extracellular Vesicles in Hospitalized SARS-CoV-2 Patients
Authors: Raineri Davide , Venegoni Chiara , Calella Maria Grazia , Vaschetto Rosanna , Scotti Lorenza , Canciani Elena , Manfredi Marcello , Gavelli Francesco , Castello Luigi , Chiocchetti Annalisa , Cappellano Giuseppe
Published: July 2022

Platelet-derived extracellular vesicles (PLT-EVs), the most abundant circulating EVs, have been found to be increased in several human diseases, including viral infections. Recently, we documented that PLT-EV counts are higher in SARS-CoV-2+ patients, enrolled during the first two waves of COVID-19, occurred in Italy last year, and we suggested PLT-EVs as a biomarker of SARS-CoV-2 infection. The present study is aimed at testing the ability of PLT-EV levels, measured at hospital admission and within one week of hospitalization, to predict patient’s outcome. We applied an easy, fast, and reliable method, based on flow cytometry, for the detection of PLT-EVs in unmanipulated blood samples. In a cohort of SARS-CoV-2 patients, enrolled during the third wave of COVID-19 in Italy, we confirmed that PLT-EV counts are higher in comparison to healthy controls. Moreover, their number is not affected by prehospitalization treatment neither with heparin nor with steroids that are recommended by WHO guidelines. Noteworthy, we identified two pattern of patients, those who increased their PTL-EV level during first week and those reducing it. The former group representented more compromised patients, with higher 4C score, and unfavorable outcome. In conclusion, our new findings would suggest that a worse evolution of the disease is linked with increasing PLT-EV levels in the week after hospital admission.
Automatic Calculation and Simulation of Time-Varying Failure Rate of Digital Relay Protection Device
Authors: Yang Yuyan
Published: July 2022

Efficiency is an important indicator of risk assessment, but the failure rate changes with time, which makes risk assessment very difficult. Traditional methods often only measure the steady-state and static indicators of relay protection. The traditional method often only measures the steady-state and static indicators of the relay protection, or directly uses the RiskWeibull analysis system to perform reliability analysis on the relevant data. However, this method can only perform quantitative static analysis on the data. Once the system is disturbed, its reliability will be affected. Analysis is not possible. Since the relay protection device has the possibility of malfunction and refusal at the same time, in order to distinguish, the risk is introduced into the reliability evaluation of the relay protection device to achieve the purpose of considering the possibility and consequences of its failure at the same time. Based on the traditional method, this paper proposes a method to calculate the time-varying failure rate of the relay protection device by using the support vector machine model, which improves the influence of hidden risks on the power grid relay protection, and not only realizes the scientific hidden danger evaluation, risk rating. It is of great significance for the development of power grids to evaluate the consequences of failures and to make the transmission lines operate safely and stably.
Construction Scheme of Quantitative Assessment of College Teachers’ Performance Based on Big Data Analysis
Authors: Zheng Yi , Sun Chuan
Published: July 2022

Big data is widely used for its large capacity. Performance appraisal is the evaluation of work, which can serve as a warning and motivation for employees. College teachers play an important role in the development of higher education. How to realize the rational use of college resources is a problem that needs to be solved urgently. This paper aims to study the construction scheme of quantitative assessment of college teachers’ performance based on big data analysis, and use big data analysis methods to make more scientific and reasonable performance assessment methods. Based on the research of relevant theories, this paper analyzes the characteristics and existing problems of the performance appraisal system of college teachers according to the current situation of college teachers’ performance appraisal. In addition, considering the particularity of college teachers, based on questionnaires and field interviews to understand their assessment status and teachers’ expectations for assessment; based on the construction principles of college teachers’ performance assessment system, a college teacher performance assessment system is constructed. The experimental results of this paper show that 140 people believe that performance appraisal is related to salary, accounting for 35% of the total number of teachers. This data shows that the correlation between performance appraisal and salary is relatively high.
Treatment Response and Conditional Survival in Advanced Pancreatic Cancer Patients Treated with FOLFIRINOX: A Multicenter Cohort Study
Authors: van der Sijde Fleur , van Dam Jacob L. , Groot Koerkamp Bas , Haberkorn Brigitte C. M. , Homs Marjolein Y. V. , Mathijssen Daniëlle , Besselink Marc G. , Wilmink Johanna W. , van Eijck Casper H. J.
Published: July 2022

Background. FOLFIRINOX chemotherapy is the current Dutch standard of care for locally advanced (LAPC) and metastatic pancreatic cancer (PDAC) patients with good performance status. The objective of this study was to evaluate real-world response rates and survival in advanced PDAC and to assess conditional survival after FOLFIRINOX. Methods. A multicenter, retrospective cohort study was conducted in four hospitals in the Netherlands. Consecutive patients with LAPC or metastatic PDAC, treated with FOLFIRINOX, were included. Results. Between 2012 and 2018, 284 patients were included: n = 136 with LAPC and n = 148 with metastatic PDAC. Objective response rates were similar in both the groups: 14.0% in LAPC and 18.2% in metastatic patients. The disease control rate was higher in LAPC patients (77.2%) compared to metastatic PDAC (51.4%,

P
<
0.001

). Median overall survival (OS) in LAPC patients was 12.7 months (95% CI 11.4–14.1 months). Their 2-year survival probability increased from 14% to 26% one year after the completion of FOLFIRINOX. Median OS in metastatic PDAC patients was 8.1 months (95% CI 6.5–9.6 months); 2-year survival probability increased from 10% to 29% after one year. Discussion. Our study provides real-world estimates of response rates, survival, and conditional survival in patients with advanced PDAC treated with FOLFIRINOX. These results are useful for patient counseling and clinical decision making.