Training and Implementation of Subjective Questions Scoring System Based on the Baidu Qianfan Model Platform

Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.

A New Kind of Subjective Trust Model

Based on the outstanding characteristics of Cloud Model on the process of transforming a qualitative concept to a set of quantitative numerical values, a formalized model of subjective trust is introduced by which we can transform between qualitative reputation and quantitative voting data. The present paper brings forward algorithms to compute direct trust and recommender trust. Further more, an effective similarity measuring method used to distinguish two users＇ reputation on knowledge level is also proposed. The given model properly settles the uncertainty and fuzziness properties of subjective trust which is always the weakness of traditional subjective trust model, and provides a step in the direction of proper understanding and definition of human trust.

An Evaluation Approach of Subjective Trust Based on Cloud Model

As online trade and interactions on the internet are on the rise, a key issue is how to use simple and effective evaluation methods to accomplish trust decision-making for customers. It is well known that subjective trust holds uncertainty like randomness and fuzziness. However, existing approaches which are commonly based on probability or fuzzy set theory can not attach enough importance to uncertainty. To remedy this problem, a new quantifiable subjective trust evaluation approach is proposed based on the cloud model. Subjective trust is modeled with cloud model in the evaluation approach, and expected value and hyper-entropy of the subjective cloud is used to evaluate the reputation of trust objects. Our experimental data shows that the method can effectively support subjective trust decisions and provide a helpful exploitation for subjective trust evaluation.

Perceptual Quality Assessment of Omnidirectional Images:Subjective Experiment and Objective Model Evaluation

Virtual reality(VR) environment can provide immersive experience to viewers.Under the VR environment, providing a good quality of experience is extremely important.Therefore, in this paper, we present an image quality assessment(IQA) study on omnidirectional images. We first build an omnidirectional IQA(OIQA) database, including 16 source images with their corresponding 320 distorted images. We add four commonly encountered distortions. These distortions are JPEG compression, JPEG2000 compression, Gaussian blur, and Gaussian noise. Then we conduct a subjective quality evaluation study in the VR environment based on the OIQA database. Considering that visual attention is more important in VR environment, head and eye movement data are also tracked and collected during the quality rating experiments. The 16 raw and their corresponding distorted images,subjective quality assessment scores, and the head-orientation data and eye-gaze data together constitute the OIQA database. Based on the OIQA database, we test some state-of-the-art full-reference IQA(FR-IQA) measures on equirectangular format or cubic formatomnidirectional images. The results show that applying FR-IQA metrics on cubic format omnidirectional images could improve their performance. The performance of some FR-IQA metrics combining the saliency weight of three different types are also tested based on our database. Some new phenomena different from traditional IQA are observed.

Exploration and Practice of the Cultivation Model for Top Undergraduate Talents Based on Subject Contests in the AI Era

With the rise of artificial intelligence and the rapid development of industrial applications based on deep learning,the demand for innovative and practical talents is rapidly increased.The cultivation of talents in computer discipline has attracted a lot of attention from universities,research institutions,and Internet giants.Subject contests play a crucial role in cultivating top undergraduate talents.This paper proposes a cultivation model that takes the industry application of deep learning as the background,and guides students to learn,practice,and innovate incrementally from machine learning application to deep learning application by participating in subject contests.It aims to help undergraduates to master the cutting-edge technologies and applications,and ultimately cultivate top,innovative,and practical undergraduate talents in the computer field in the era of artificial intelligence.

Research on the Construction of Synergetic innovation Model of the R＆D Center of Modem Logistics Based on College-enterprise Double Subject

Synergetic innovation of college-enterprise in China has initial development, but difficult to demonstrate the operation and performance. College-enterprise double subject deepen integration between colleges and enterprises, colleges and enterprises to effectively integrate community resources and improve the effectiveness and efficiency of college-enterprise cooperation. Starting from the practice of college-enterprise double subject, the article builds a synergetic innovation model of the R＆D Center of Modern Logistics, and put forward countermeasures and suggestions of its operations and security.

The Comparative Study on the Subject Librarians System of University Libraries at Home and Abroad

本文通过对国内外高校图书馆学科馆员的职责、素质、管理模式和服务模式等进行比较研究，提出构建阶梯式学科馆员服务模式。

A chronic ulcerative colitis model in rats

INTRODUCTIONIn recent years,there have been many reports aboutanimal model to investigate drugs for inflammatorybowel diseases (IBD).The experimental animalmodel often used is acetic acid-induced damage ofcolonic muscosa.In the present study,this animalmodel was investigated by administering variousconcentrations of TNBS.

Extension of Subjective Logic for Time-Related Trust

To describe the dynamic propcrty of trust relationship, wt propose atime-related trust model and extend Joang's subjective logic to fit for time-related trust model.The extension includes prepositional conjunction, disjunction and negation for traditional logic anddiscounting and consensus operators that are evidential operators specially designed for thepropagation and computation of trust relationships. With the extension of subjective logic fortime-related trust, our time-related trust modelis suitable to model the dynamic trust relationshipin practice. Finally an example of reputation assessment is offered to demonstrate the usage of ourtrust model.

The Criticism and Amendment for the Dual-Factor Model of Mental Health: From Chinese Psychological Suzhi Research Perspectives

Aiming at the limitations of psychopathology (PTH), the dual-factor model of mental health (DFM) was proposed as a new mental health concept and methodology under the background of positive psychology trend. In this paper we propose giving an overview of DFM, and doubt, criticize, and modify DFM from the perspective of Chinese psychological suzhi research. The available literature from 1983 to 2012 that is related to DFM and concerning psychological suzhi research in the past 20 years has been reviewed. In addition, we also absorbed the idea of positive psychology and Traditional Chinese Medicine (TCM) Constitution theory to develop theoretically the relationship model between psychological suzhi and mental health. The relationship model between psychological suzhi and mental health modifies and transcends PTH and DFM. It will be the new research area of mental health research.

Factors influencing the internet banking adoption decision in North Cyprus: an evidence from the partial least square approach of the structural equation modeling

Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.

AN IMPLEMENTATION OF A MODEL MANAGEMENT SYSTEM

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Diets of obese and non-obese older subjects

Aim: To compare diets between obese and non-obese in healthy older subjects. Methods: Forty-five obese and eighty-seven non-obese older subjects were recruited and their habitual factors that may contribute to obesity were assessed. Intakes of food by food-group in the obesity and non-obesity groups were checked using a visual type presentation of model nutriational balance chart (MNBC). Results: Average intake ratio of food relative to ideal food intake was significantly higher in the obesity group than the non-obesity group. The relationship of obesity and exercise or habitual activities was not significant. Conclusion: Food intake is a primary factor of obesity but regular exercise or habitual activities is not a key factor for obesity in older subjects. Since exercise habit is difficult to achieve in older subjects, particularly those who are obese, food control using the present visualtype MNBC would be one strategy forthe management of obesity.

Value of subjective performance evaluation： A theoretical perspective

To break through the academic research tradition of isolating subjective performance evaluation （SPE） with objective evaluation, and enhance the application and explanation power of analytical research findings, this paper adopts a one-period principal-agent model, and solves programming problems by internalizing validity conditions for SPE as constraints according to revelation principle. We find that both SPE and its objectivization can achieve Pareto improvement for both the principal and the agent. Our findings have a general application beyond bonus contracts; it not only explains the pervasive existence of SPE, but also helps to interpret phenomena of the objectification of SPE.

Analysis of fMRI Single Subject Data in the Fourier Domain Acquired Using a Multiple Input Stimulus Experimental Design

Analysis of functional MRI (fMRI) blood oxygenation level dependent (BOLD) data is typically carried out in the time domain where the data has a high temporal correlation. These analyses usually employ parametric models of the hemodynamic response function (HRF) where either pre-whitening of the data is attempted or autoregressive (AR) models are employed to model the noise. Statistical analysis then proceeds via regression of the convolution of the HRF with the input stimuli. This approach has limitations when considering that the time series collected are embedded in a brain image in which the AR model order may vary and pre-whitening techniques may be insufficient for handling faster sampling times. However fMRI data can be analyzed in the Fourier domain where the assumptions made as to the structure of the noise can be less restrictive and hypothesis tests are straightforward for single subject analysis, especially useful in a clinical setting. This allows for experiments that can have both fast temporal sampling and event-related designs where stimuli can be closely spaced in time. Equally important, statistical analysis in the Fourier domain focuses on hypothesis tests based on nonparametric estimates of the hemodynamic transfer function (HRF in the frequency domain). This is especially important for experimental designs involving multiple states (drug or stimulus induced) that may alter the form of the response function. In this context a univariate general linear model in the Fourier domain has been applied to analyze BOLD data sampled at a rate of 400 ms from an experiment that used a two-way ANOVA design for the deterministic stimulus inputs with inter-stimulus time intervals chosen from Poisson distributions of equal intensity.

Information Comprehension Based on the New Knowledge Acquired by Cognitive Subject as the Fourth Dimension Set

On the basis of studying general comprehension model of information, this paper puts forward the Four Dimensions Set Information Comprehension Model （FDSICM） based on regarding the new knowledge acquired by cognitive subject as the fourth dimension set. Making use of the Four Dimension Set Information Comprehension Model （FDSICM）, this paper analyzes the information attributes and expatiates from three levels the comprehension of the information meaning.

土木工程重点学科建设推进本科人才培养质量的研究与实践

将土木工程重点学科建设与本科教育相结合,提升本科人才的培养质量是有意义和必要的。该文以河南大学土木工程专业的教学模式革新为例,结合省级重点学科的实际建设情况,对原有本科人才培养方案进行改革补充,从制度体系建设和创新创业实践两个方面提出十六项具体措施。通过2018—2021年的改革结果跟踪调研分析,验证其可行性,取得良好的创新效果。

基于多元治理的少数民族档案资源主体协同整合模式研究

少数民族档案资源整合面临资源异构、数量庞大、保存分散的问题。以多元治理理论为基础,通过构建参与主体协同整合模式,解决主体分散割裂问题。对参与多元治理的主体及其特征进行分析,归纳了政府部门主导模式、文化机构主导模式、社会组织主导模式、社会公众参与模式四种少数民族档案资源主体整合模式,在深入分析和比较四者之间的相似性和差异性后,构建了动态性、场景化的少数民族档案资源多元主体协同整合模式。

生涯教育视角下普通高中选科指导实践模式的建构及检验

新高考改革将选择权交还给学生,不仅带来选择空间的放大和决策时间的前置,而且引发高中生对未来愿景的更多期许。选科指导成为兼及学生当下选择与长远发展的重要契机和有力抓手。基于生涯教育的视角建构涵盖选科指导目标之“谐和”、内容之“融和”、路径之“通和”、评价之“正和”为一体的“4和”模式,并通过实践运用检验其效用和价值,旨在回应时代关切。研究结果表明,该模式能显著降低学生选科过程中的决策困难,提升学生生涯发展的成熟度,加深其对高中学习意义的理解,促进由表层学习动机向深层学习动机的转化。实验结果一方面验证了生涯教育视角对于选科指导具有正向作用,另一方面也在操作层面检验了“4和”实践模式的可借鉴性。

PERMA模式指导下阶段性心理干预对初产妇心理状况、主观幸福感的影响

目的:探讨塞利格曼(PERMA)模式指导下阶段性心理干预在初产妇的临床效果及对心理状况、主观幸福感的影响。方法:选取某院就诊的初产妇120例为本次研究对象,采集时间为2021年12月-2023年12月,其中60例初产妇给予产科常规护理,归为对照组,另60例初产妇于常规护理基础上实施PERMA模式指导下阶段性心理干预,归为观察组。记录两组分娩方式(自然分娩、剖宫产、助产),并观察两组干预前后心理状况、睡眠质量及主观幸福感的变化情况。结果:观察组自然分娩率高于对照组,且剖宫产率与助产率均低于对照组,但两组相比差异无统计学意义(P>0.05);干预前两组焦虑自评量表(SAS)评分、抑郁自评量表(SDS)评分、匹兹堡睡眠质量量表(PSQI)评分、纽芬兰纪念大学幸福度量表(MUNSH)评分及总体主观幸福感量表(GWB)评分比较均无明显差异(P>0.05),干预后观察组SAS评分、SDS评分、PSQI评分低于对照组(t=6.976,8.366,8.546;P<0.05),MUNSH评分、GWB评分高于对照组(t=3.003,3.175;P<0.05)。结论:经PERMA模式指导下阶段性心理干预后,能稳定初产妇心理状况,改善其睡眠质量,对提高主观幸福感也具有积极作用。