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Food Science and Human Wellness 2024年第3期13卷 1152-1167页

作者： Ningxuan Gao Chi Shu Yuehua Wang Jinlong Tian Yuxi Lang Chenyu Jin Xingyue Cui Hanqian Jiang Shi’an Liu Zhiying Li Wei Chen Hao Xu Bin Li Department of Food Science College of FoodShenyang Agricultural UniversityShenyang 110161China Department of Food Science and Nutrition College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058China chaoyang Beihe Food Co. Ltd.Chaoyang 122100China

The black chokeberry is rich in polyphenols,including flavonoids with anthocyanins,flavanols and lavonols as the main components and a variety of phenolic acids represented by chlorogenic *** of these polyphenols,black chokeberry has the effect of preventing and adjuvant therapy *** study summarized the current research results on the types and contents of functional components in black chokeberry,and analyzed their digestion,absorption and metabolism in human *** this basis,the disease control functions that have been proved effective in clinical research were reviewed and *** studies showed that black chokeberry have good prevention and adjuvant therapy effects on hyperlipidemia,hypertension,diabetes and *** there are different functional components in black chokeberry,its prevention and treatment of the same disease can come from multiple pathways,which provides a more reliable effectiveness for the disease control of different populations.

关键词： Black chokeberry Hyperlipidemia Hypertension Diabetes Inflammation

An effective bimetallic oxide catalyst of RuO_(2)-Co_(3)O_(4) for alkaline overall water splitting

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Nano Research 2024年第5期17卷 3785-3793页

作者： Fangfang Ren Jiayu Xu Ligang Feng college of Chemical and Environmental Engineering Yancheng Teachers UniversityYancheng 224007China School of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225002China

The rational design of effective bifunctional electrocatalysts is of paramount importance for overall water-splitting technology in sustainable energy ***,bimetallic oxide catalysts(RuO_(2)-Co_(3)O_(4))derived from Ru combined MOF-derivatives(MOF=metal-organic framework)were demonstrated effective for overall water splitting in an alkaline solution,owing to the combined merits such as the two-dimensional interconnected network structure,the synergetic coupling effects and increased chemical *** as-prepared RuO_(2)-Co_(3)O_(4) only requires an overpotential of 260 mV for oxygen evolution and 75 mV for hydrogen evolution at 10 mA/cm^(2) in 1 M KOH solution;a low cell voltage of 1.54 V was required to reach the kinetic current density of 10 mA/cm^(2) for the water electrolysis when supporting on glass carbon electrode,and very good stability for 40 h was *** and theoretical results demonstrated the electronic structure optimization of bimetallic RuO_(2)-Co_(3)O_(4) compared to the individual metal oxide,which promoted interface charges redistribution and the d-band center downshift,resulting in increased activity and stability for water-splitting *** work provides a feasible approach for developing bimetallic oxides for application in energy-relevant electrocatalysis reactions.

关键词： ruthenium dioxide cobalt oxide metal-organic frameworks heterostructures overall water splitting

Prediction of Wordle Scores Based on ARIMA and LSTM Models

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Journal of Applied Mathematics and Physics 2024年第2期12卷 543-553页

作者： Biyun Chen Wenqiang Li college of Information Engineering Yancheng Teachers University Yancheng China

This paper examines the effectiveness of the Differential autoregressive integrated moving average (ARIMA) model in comparison to the Long Short Term Memory (LSTM) neural network model for predicting Wordle user-reported scores. The ARIMA and LSTM models were trained using Wordle data from Twitter between 7th January 2022 and 31st December 2022. User-reported scores were predicted using evaluation metrics such as MSE, RMSE, R2, and MAE. Various regression models, including XG-Boost and Random Forest, were used to conduct comparison experiments. The MSE, RMSE, R2, and MAE values for the ARIMA(0,1,1) and LSTM models are 0.000, 0.010, 0.998, and 0.006, and 0.000, 0.024, 0.987, and 0.013, respectively. The results indicate that the ARIMA model is more suitable for predicting Wordle user scores than the LSTM model.

关键词： Time Series ARIMA LSTM Wordle Prediction

Kinetic analysis of p53 gene network with time delays and PIDD

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International Journal of Biomathematics 2024年第3期17卷 57-88页

作者： Ruimin Huo Nan Liu Hongli Yang Liangui Yang School of Mathematical Sciences Inner Mongolia University Hohhot 010021P.R.China Faculty of Mathematics Baotou teachers college Baotou 014030P.R.China timuyhl@***

p53 kinetics plays a key role in regulating cell *** on the p53 gene regulatory network composed by the core regulatory factors ATM,Mdm2,Wipl,and PIDD,the effect of the delays in the process of transcription and translation of Mdm2 and Wipl on the dynamics of p53 is studied theoretically and *** results show that these two time delays can affect the stability of the positive *** the increase of delays,the dynamics of p53 presents an oscillating ***,we also study the effects of PIDD and chemotherapeutic drug etoposide on the kinetics of *** model indicates that(i)PIDD low-level expression does not significantly affect p53 oscillatory behavior,but high-level expression could induce two-phase kinetics of p53;(ii)Too high and too low concentration of etoposide is not conducive to p53 *** results are in good agreement with experimental ***,we consider the infuence of internal noise on the system through Binomial r-leap *** simulations reveal that high-intensity noise completely destroys p53 dynamics in the deterministic model,whereas low-intensity noise does not alter p53 ***,for the stable focus,the internal noise with appropriate intensity can induce quasi-limit cycle oscillations of the *** work may provide the useful insights for the development of anticancer therapy.

关键词： PIDD time delay p53 gene regulatory network Hopf bifurcation stochastic simulation.

Intelligent In-Vehicle Safety System Based on Yolov5

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Journal of Computer and Communications 2024年第3期12卷 207-218页

作者： Biyun Chen Wei Cai Jinwen Zhu college of Computer Information and Engineering Yancheng Teachers University Yancheng China

In order to reduce the occurrence of traffic accidents and assist drivers to avoid dangerous driving. This paper presents a smart in-vehicle safety system that utilises the Yolov5 algorithm. Yolov5 algorithm is used to anticipate driver fatigue and distraction behaviours, and remind drivers to pay attention to safe driving in time. The system continuously splits the frames and analyses the frame content through the video feedback from the front camera, compared to the traditional machine learning, Yolov5’s mosaic data is enhanced, resulting in a batch size enhancement of 92.3%, and it also uses the Drop Block mechanism to prevent overfitting. The hardware of this system uses STM32 microcontroller and uses system DMA interrupt control and buzzer alarm device to warn about dangerous driving behaviour.

关键词： Behaviour Detection STM32 Pyside2 Yolov5 Dlib Open Source Library Perclos Model

Multi-Objective Equilibrium Optimizer for Feature Selection in High-Dimensional English Speech Emotion Recognition

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Computers, Materials & Continua 2024年第2期78卷 1957-1975页

作者： Liya Yue Pei Hu Shu-Chuan Chu Jeng-Shyang Pan Fanli Business School Nanyang Institute of TechnologyNanyang473004China School of Computer and Software Nanyang Institute of TechnologyNanyang473004China college of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Information Management Chaoyang University of TechnologyTaichung413310Taiwan

Speech emotion recognition(SER)uses acoustic analysis to find features for emotion recognition and examines variations in voice that are caused by *** number of features acquired with acoustic analysis is extremely high,so we introduce a hybrid filter-wrapper feature selection algorithm based on an improved equilibrium optimizer for constructing an emotion recognition *** proposed algorithm implements multi-objective emotion recognition with the minimum number of selected features and maximum ***,we use the information gain and Fisher Score to sort the features extracted from ***,we employ a multi-objective ranking method to evaluate these features and assign different importance to *** with high rankings have a large probability of being ***,we propose a repair strategy to address the problem of duplicate solutions in multi-objective feature selection,which can improve the diversity of solutions and avoid falling into local *** random forest and K-nearest neighbor classifiers,four English speech emotion datasets are employed to test the proposed algorithm(MBEO)as well as other multi-objective emotion identification *** results illustrate that it performs well in inverted generational distance,hypervolume,Pareto solutions,and execution time,and MBEO is appropriate for high-dimensional English SER.

关键词： Speech emotion recognition filter-wrapper high-dimensional feature selection equilibrium optimizer multi-objective

Exploration of Curriculum Reform in the Context of Digital Empowerment:Taking the“Class Management”Course in the Primary Education Major of Higher Vocational Normal School as an Example

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Journal of Contemporary Educational Research 2024年第2期8卷 123-130页

作者： Meiping Huang Chaozhou teachers’college of Hanshan Normal University Chaozhou 521000Guangdong ProvinceChina

In the era of digital empowerment,the digital reform of higher vocational courses has become an inevitable *** explore professional curriculum reform,this study takes the“Class Management”course in the primary education major of higher vocational teachers as the research object,analyzes the importance of digital empowerment to curriculum reform,and discusses the teaching of the“Class Management”course new model and content reform *** technology empowering traditional courses is a new trend,which is both an opportunity and a *** study aims to explore the application of digital technology in courses and provide certain guidelines for curriculum reform in the field of education.

关键词： Digital empowerment Curriculum reform Innovative exploration

Hybrid Optimization Algorithm for Handwritten Document Enhancement

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Computers, Materials & Continua 2024年第3期78卷 3763-3786页

作者： Shu-Chuan Chu Xiaomeng Yang Li Zhang Václav Snášel Jeng-Shyang Pan college of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China School of Information and Control Engineering Qingdao University of TechnologyQingdao266520China Faculty of Electrical Engineering and Computer Science VŠB-TU OstravaOstrava70080Czech Republic Department of Information Management Chaoyang University of TechnologyTaichung41349Taiwan

The Gannet Optimization Algorithm (GOA) and the Whale Optimization Algorithm (WOA) demonstrate strong performance;however, there remains room for improvement in convergence and practical applications. This study introduces a hybrid optimization algorithm, named the adaptive inertia weight whale optimization algorithm and gannet optimization algorithm (AIWGOA), which addresses challenges in enhancing handwritten documents. The hybrid strategy integrates the strengths of both algorithms, significantly enhancing their capabilities, whereas the adaptive parameter strategy mitigates the need for manual parameter setting. By amalgamating the hybrid strategy and parameter-adaptive approach, the Gannet Optimization Algorithm was refined to yield the AIWGOA. Through a performance analysis of the CEC2013 benchmark, the AIWGOA demonstrates notable advantages across various metrics. Subsequently, an evaluation index was employed to assess the enhanced handwritten documents and images, affirming the superior practical application of the AIWGOA compared with other algorithms.

关键词： Metaheuristic algorithm gannet optimization algorithm hybrid algorithm handwritten document enhancement

Platinum-based chemotherapy for metastatic insulinoma harboring germline mutation in DNA damage repair pathway: a case report

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胰腺病学杂志(英文) 2024年第2期7卷 167-169页

作者： Yang Kaili Ying Hongyan Guan Mei Wang Lina Xu Jia Cheng Yuejuan Department of Gastroenterology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China Department of Medical Oncology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China Beijing chaoyang Integrative Medicine Rescue and First Aid Hospital Beijing China Department of Radiology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Malignant insulinomas are rare neuroendocrine tumors that require management for both symptomatic control and tumor reduction. It is clinically challenging to optimize treatment strategies for refractory malignant insulinoma. We report a case of metastatic grade 3 insulinoma presented with recurrent hypoglycemia in a 23-year-old female with RAD51D p.Q192 germline mutation. During the disease course of 5 years, the tumor has continuously progressed despite locoregional therapy and multiple lines of systemic treatment. However, oxaliplatin-based chemotherapy achieved a partial response, which was maintained for 2 years. The hypoglycemic symptoms were controlled after the treatment response and did not recur. The platinum-based regimen could be a feasible therapeutic strategy for malignant insulinoma. The relationship between germline mutation in the DNA damage repair pathway and treatment response to platinum-based regimens in neuroendocrine tumors warrants further investigation.

关键词： Chemotherapy DNA damage repair Germline mutation Malignant insulinoma

Research on Interpolation Method for Missing Electricity Consumption Data

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Computers, Materials & Continua 2024年第2期78卷 2575-2591页

作者： Junde Chen Jiajia Yuan Weirong Chen Adnan Zeb Md Suzauddola Yaser A.Nanehkaran Department of Electronic Commerce Xiangtan UniversityXiangtan411105China School of Information Engineering Yancheng Teachers UniversityYancheng224000China Department of Information and Electrical Engineering Ningde Normal UniversityNingde352100China college of Engineering Southern University of Science and TechnologyShenzhen518005China School of Informatics Xiamen UniversityXiamen361005China

Missing value is one of the main factors that cause dirty *** high-quality data,there will be no reliable analysis results and precise ***,the data warehouse needs to integrate high-quality data *** the power system,the electricity consumption data of some large users cannot be normally collected resulting in missing data,which affects the calculation of power supply and eventually leads to a large error in the daily power line loss *** the problem of missing electricity consumption data,this study proposes a group method of data handling(GMDH)based data interpolation method in distribution power networks and applies it in the analysis of actually collected electricity ***,the dependent and independent variables are defined from the original data,and the upper and lower limits of missing values are determined according to prior knowledge or existing data *** missing data are randomly interpolated within the upper and lower ***,the GMDH network is established to obtain the optimal complexity model,which is used to predict the missing data to replace the last imputed electricity consumption *** last,this process is implemented iteratively until the missing values do not *** a relatively small noise level(α=0.25),the proposed approach achieves a maximum error of no more than 0.605%.Experimental findings demonstrate the efficacy and feasibility of the proposed approach,which realizes the transformation from incomplete data to complete ***,this proposed data interpolation approach provides a strong basis for the electricity theft diagnosis and metering fault analysis of electricity enterprises.

关键词： Data interpolation GMDH electricity consumption data distribution system