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Structure Optimization of a tesla turbine Using an Organic Rankine Cycle technology

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Fluid Dynamics & Materials Processing 2024年第6期20卷 1251-1263页

作者： Yongguo li Caiyin Xu Can Qin Dingjian Zheng School of Engineering Shanghai Ocean UniversityShanghai201306China Shanghai Marine Renewable Energy Engineering technology Research Center Shanghai201306China

the so-called ORC(Organic Rankine Cycle)heat recovery technology has attracted much attention with regard to medium and low temperature waste heat *** the present study,it is applied to a tesla *** the same time,the effects of the disc speed,diameter and inter-disc gap on the internal flow field and output power of the turbine are also investigated by means of CFD(Computational Fluid Dynamics)numerical simulation,by which the pressure,velocity,and output efficiency of the internal flow field are obtained under different internal and external *** highest efficiency(66.4%)is obtained for a number of nozzles equal to 4,a disk thickness of 1 mm,and a gap of 1 mm between the *** results of the study serve as a theoretical basis for the structural design and optimization of tesla turbines.

关键词： ORC tesla turbine CFD numerical simulation structural parameters

Beta-alanine promotes angiogenesis in laser-induced choroidal neovascularization mice models

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International Journal of Ophthalmology(English edition) 2024年第9期17卷 1592-1598页

作者： Jia-li wu Min Zhang Xiao-Dong Sun Department of Ophthalmology Shanghai General Hospital(Shanghai First People’s Hospital)Shanghai Jiao Tong UniversitySchool of MedicineShanghai 200080China National Clinical Research Center for Ophthalmic Diseases Shanghai 200080China National Clinical Research Center for Eye Diseases Shanghai 200080China Shanghai Key Laboratory of Fundus Diseases Shanghai 200080China Shanghai Engineering Center for Visual Science and Photomedicine Shanghai 200080China

AIM:to investigate the effect ofβ-alanine(BA)on laserinduced choroidal neovascularization(CNV)mice ***:Laser-induced CNV mice models were established,and BA was administrated for one week and two weeks in advance,***,retinal pigment epithelium(RPE)-choroid flat mounts were separated,and immunohistochemical staining was *** laser-induced CNV lesion areas were measured and *** addition,liver and kidney morphologies were observed to identify potential hepatorenal ***:Enlarged CNV lesion areas were observed in the BA treated *** significant differences were observed in the liver and kidney sections between ***:BA treatment increase CNV lesion areas,suggesting the detrimental effects of BA as a nutritional supplement in age-related macular degeneration(AMD)population.

关键词： age-related macular degeneration choroidal neovascularization β-alanine angiogenesis

Preface to the special topic on metals and their compounds for lithium ion/metal batteries

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tungsten 2024年第1期6卷 162-163页

作者： Ying-Ze Song wen-Long Cai Gao-Ran li State Key Laboratory of Environment-Friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China College of Materials Science and Engineering Sichuan UniversityChengdu 610064China School of Materials Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China

the fast development of electronics and electric devices has inspired the practical application of lithium ion/metal *** this line,the metals and their compounds as electrode materials as well as the corresponding mechanism for energy storage have gained extensive international *** as-organized special topic focuses on w,Mo,Co,Zr,Hf,Re,ta,Nb,V-based metals and their compounds for lithium ion/metal *** special topic involves four reviews and four research papers totally,providing the latest advances of transition metals and their related compounds for rechargeable lithium ion/metal batteries.

关键词： lithium metals gained

Software Defect Prediction Method Based on Stable Learning

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Computers, Materials & Continua 2024年第1期78卷 65-84页

作者： Xin Fan Jingen Mao liangjue lian li Yu wei Zheng Yun Ge College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing210012China School of Software Nanchang Hangkong UniversityNanchang330029China Software testing and Evaluation Center Nanchang Hangkong UniversityNanchang330029China

the purpose of software defect prediction is to identify defect-prone code modules to assist software quality assurance teams with the appropriate allocation of resources and *** previous software defect prediction studies,transfer learning was effective in solving the problem of inconsistent project data ***,target projects often lack sufficient data,which affects the performance of the transfer learning *** addition,the presence of uncorrelated features between projects can decrease the prediction accuracy of the transfer learning *** address these problems,this article propose a software defect prediction method based on stable learning(SDP-SL)that combines code visualization techniques and residual *** method first transforms code files into code images using code visualization techniques and then constructs a defect prediction model based on these code *** the model training process,target project data are not required as prior *** the principles of stable learning,this paper dynamically adjusted the weights of source project samples to eliminate dependencies between features,thereby capturing the“invariance mechanism”within the *** approach explores the genuine relationship between code defect features and labels,thereby enhancing defect prediction *** evaluate the performance of SDP-SL,this article conducted comparative experiments on 10 open-source projects in the PROMISE *** experimental results demonstrated that in terms of the F-measure,the proposed SDP-SL method outperformed other within-project defect prediction methods by 2.11%-44.03%.In cross-project defect prediction,the SDP-SL method provided an improvement of 5.89%-25.46% in prediction performance compared to other cross-project defect prediction ***,SDP-SL can effectively enhance within-and cross-project defect predictions.

关键词： Software defect prediction code visualization stable learning sample reweight residual network

A prognosis model for predicting immunotherapy response of esophageal cancer based on oxidative stress-related signatures

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Oncology Research 2024年第1期32卷 199-212页

作者： JING GUO CHANGYONG tONG JIANGUANG SHI XINJIAN li XUEQIN CHEN Department of thoracic Surgery The First Affiliated Hospital of Ningbo UniversityNingboChina Department of Chinese traditional Medicine The First Affiliated Hospital of Ningbo UniversityNingboChina

Oxidative stress(OS)is intimately associated with tumorigenesis and has been considered a potential therapeutic ***,the OS-associated therapeutic target for esophageal squamous cell carcinoma(ESCC)remains *** our study,gene expression data of ESCC and clinical information from public databases were *** LASSO-Cox regression analysis,a risk score(RS)signature map of prognosis was constructed and performed external verification with the GSE53625 *** EStIMAtE,xCell,CIBERSORt,tIMER,and ImmuCellAI algorithms were employed to analyze infiltrating immune cells and generate an immune microenvironment(IM).Afterward,functional enrichment analysis clarified the underlying mechanism of the *** was utilized for forecasting the survival rate of individual ESCC *** a result,we successfully constructed an OS-related genes(OSRGs)model and found that the survival rate of high-risk groups was lower than that of low-risk *** AUC of the ROC verified the strong prediction performance of the signal in these two cohorts *** to independent prognostic analysis,the RS was identified as an independent risk factor for *** nomogram and follow-up data revealed that the RS possesses favorable predictive value for the prognosis of ESCC ***-PCR detection demonstrated increased expression of MPC1,COX6C,CYB5R3,CASP7,and CYCS in esophageal cancer *** conclusion,we have constructed an OSRGs model for ESCC to predict patients’prognosis,offering a novel insight into the potential application of the OSRGs model in ESCC.

关键词： Esophageal carcinoma OS Prognosis Risk markers Immune cell infiltration

Relationship between clinical belonging,professional identity,and nursing information ability among nursing interns:Model construction

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world Journal of Clinical Cases 2024年第13期12卷 2210-2217页

作者： Gai Zhang Shao-Juan Huang Shu-Fang li Department of Nursing Foshan Hospital of Traditional Chinese MedicineFoshan 528000Guangdong ProvinceChina

BACKGROUND Clinical belonging refers to the feeling that clinical medical staff feel recognized and accepted by others or *** level of clinical belonging of nursing interns affects students’learning motivation and confidence,which in turn affects their clinical practice *** to explore the effects of professional identity and nursing information ability on clinical belonging among nursing interns and establish a relationship model for these *** the researchers used the convenience sampling method to select 682 nursing interns from *** survey was conducted using a general information questionnaire,clinical sense of belonging scale,nursing information ability self-assessment scale,and a nursing student professional identity *** mediating effect of nursing information ability between their professional identity and clinical sense of belonging was analyzed using SPSS 21.0 and the path analysis in structural equation *** the total scores of clinical belonging,professional identity,and nursing information ability of nursing interns were(104.29±13.11)points,(57.89±7.16)points,and(70.29±6.20)points,*** information ability had a direct effect on the clinical sense of belonging(effect value=0.46,Ptional identity had a direct effect(effect value=0.52,Pt effect(effect value=0.21,Plinical *** Nursing administrators in nursing colleges and hospitals should take effective measures to improve the professional identity and nursing information ability of nursing interns,as well as the clinical sense of belonging among nursing interns.

关键词： Belongingness Nursing Education Undergraduate Information literacy Models

Analytical and NumericalMethods to Study the MFPt and SR of a Stochastic tumor-Immune Model

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2177-2199页

作者： Ying Zhang wei li Guidong Yang Snezana Kirin School of Mathematics and Statistics Xidian UniversityXi’an710071China Innovation Center of Faculty of Mechanical Engineering Belgrade11100Serbia

the Mean First-Passage time (MFPt) and Stochastic Resonance (SR) of a stochastic tumor-immune model withnoise perturbation are discussed in this paper. Firstly, considering environmental perturbation, Gaussian whitenoise and Gaussian colored noise are introduced into a tumor growth model under immune surveillance. Asfollows, the long-time evolution of the tumor characterized by the Stationary Probability Density (SPD) and MFPtis obtained in theory on the basis of the Approximated Fokker-Planck Equation (AFPE). Herein the recurrenceof the tumor from the extinction state to the tumor-present state is more concerned in this paper. A moreefficient algorithmof Back-Propagation Neural Network (BPNN) is utilized in order to testify the correction of thetheoretical *** the existence of aweak signal, the functional relationship between Signal-to-NoiseRatio (SNR), noise intensities and correlation time is also studied. Numerical results show that both multiplicativeGaussian colored noise and additive Gaussian white noise can promote the extinction of the tumors, and themultiplicative Gaussian colored noise can lead to the resonance-like peak on MFPt curves, while the increasingintensity of the additiveGaussian white noise results in theminimum of MFPt. In addition, the correlation timesare negatively correlated with MFPt. As for the SNR, we find the intensities of both the Gaussian white noise andthe Gaussian colored noise, as well as their correlation intensity can induce SR. Especially, SNR is monotonouslyincreased in the case ofGaussian white noisewith the change of the correlation *** last, the optimal parametersin BPNN structure are analyzed for MFPt from three aspects: the penalty factors, the number of neural networklayers and the number of nodes in each layer.

关键词： Stochastic tumor-immune model mean first-passage time stochastic resonance signal-to-noise ratio back-propagation neural network

Simultaneous measurement of temperature and liquid refractive index based on fiber open Fabry-Pérot cavity and Bragg grating

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Optoelectronics Letters 2024年第8期20卷 477-482页

作者： liU Qinpeng wANG Danyang li Xingrui GAO Hong YU Dakuang College of Science Xi'an Shiyou UniversityXi'an 710065China

A temperature and refractive index sensor based on fiber Bragg grating(FBG)end surface cascade open Fabry-Pérot(FP)cavity has been designed and demonstrated *** open FP cavity has been fabricated on the end face of an FBG by dislocation fusion in this work,the open FP cavity could be used for refractive index sensing,and the temperature is measured by the *** working principle of the sensor and the method of improving the sensitivity are analyzed by theoretical *** refractive index sensitivity of the sensor is 1108.4 nm/RIU,while the maximum fluctuation of the sensor stability experiment detection is 0.005 *** results show that it has satisfactory *** sensor is a compact all-fiber structure,so it has potential applications in the field of temperature refractive index sensing,such as biomedical and capacitor electrolyte detection.

关键词： fiber refractive cavity

Design of multi-section luffing apple pruning equipment and cutting test of the key components

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 109-117页

作者： Siyuan tong wenbin li Yaxiong wang Lei Zhang Feng Kang School of technology Beijing Forestry UniversityKey Lab of State Forestry and Grassland Administration for Forestry Equipment and AutomationBeijing 100083China

In order to reduce the labor intensity and improve the efficiency of pruning,this study designed a multi-section luffing apple pruning equipment suitable for apple orchards in hilly and mountainous areas of *** the essay,the structure and working principle of the equipment are expounded,the cutter was analyzed,and the parameters were *** the self-made test bench to simulate the field experiment,this study selected the ratio of cutting speed to feeding speed and feeding speed as the influencing factors and took the cut-off rate,cutting efficiency and cutting power as the objectives to carry out single factor experiment and quadratic regression orthogonal *** test results show that the cutting power increases with the increase of ratio of cutting speed to feeding speed,and the cut-off rate and cutting efficiency first increase and then *** the feeding speed increases,the cutting efficiency and power increase,and the cut-off rate *** the cutoff rate was greater than 80%,the optimal combination of operating parameters was the feeding speed of 0.55 m/s and ratio of cutting speed to feeding speed of *** this combination,the cut-off rate was 84.9%,the cutting efficiency was 13.1,and the cutting power was 175.7 *** error between the predicted target value of the model and the average measured target value was less than 7%,so the test results are *** to the obtained optimal operating parameters,the actual cutting experiment of the pruning equipment in the field was carried out,and the cutting rate was 96.3%,which meet the design *** study can also meet the needs of mechanized pruning of fruit trees with different crown shapes,improve the applicability of pruning equipment,and provide support for the development of mechanized pruning equipment in China.

关键词： apple pruning equipment cutting test optimal parameters regression analysis