The Big Five Model in Relation to Job Performance:A New Look at Organizational Psychology

The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personality qualities are more likely to predict work success.Which traits should companies emphasize throughout the hiring and selection processes?How can businesses use the Big Five personality model to locate employees that are more productive,efficient,and devoted to the organization’s goals?A detailed assessment of existing recent research addresses the aforementioned issues.Following a review of many current articles on the subject,it was established that using this model had a positive influence on individual and group performance,working relationships,manager work performance,and workplace innovation.

Five-Stage Model of the Palaeozoic Crustal Evolution in Xinjiang

Abstract: The great majority of the Palaeozoic orogenic belts of Central Asia are of the intercontinental type, whose evolution always follows a five-stage model, i.e. the basal continental crust-extensional transitional crust-oceanic crust-convergent transitional crust-new continental crust model. The stage for the extensional transitional crust is a pretty long, independent and inevitable phase. The dismembering mechanism of the basal continental crust becoming an extensional continental crust is delineated by the simple shear model put forward by Wernike (1981). The continental margins on the sides of a gently dipping detachment zone and moving along it are asymmetric: one side is of the nonmagmatic type and the other of the magmatic type with a typical bimodal volcanic formation. In the latter case, however, they were often confused with island arcs. This paper discusses the five-stage process of the crustal evolution of some typical orogenic belts in Xinjiang.

Phase transitions of the five-state clock model on the square lattice

Using the tensor renormalization group method based on the higher-order singular value decomposition, we have studied the phase transitions of the five-state clock model on the square lattice. The temperature dependence of the specific heat indicates the system has two phase transitions, as verified clearly by the correlation function at three representative tem- peratures. By calculating the magnetic susceptibility, we obtained only the upper critical temperature as To2 = 0.9565（7）. Investigating the fixed-point tensor, we precisely locate the transition temperatures at Tcl = 0.9029（1） and Tc2 = 0.9520（1）, consistent well with the Monte Carlo and the density matrix renormalization group results.

A general simulation model developing process based on five-object framework

Different paradigms that relate verification and validation to the simulation model have different development process. A simulation model developing process based on Five-Object Framework (FOF) is discussed in this paper. An example is given to demonstrate the applications of the proposed method.

Prediction on Cold Chain Logistics Demand of Urban Residents in Jiangsu Province during the Twelfth Five-Year Plan Period——Based on Estimates of GM(1,1) Model

This paper takes the total yield of products that need refrigerated transport as the impact factors of transport aggregate of cold chain logistics,such as meat,aquatic products,quick-frozen noodle,fruits,vegetables,dairy,and medicine.Through selecting the consumption data of urban residents on transported products via cold chain in Jiangsu Province from 2005 to 2000 as sample,this paper establishes grey prediction model GM(1,1) of cold chain logistics demand and uses DPS7.05 software for test,to predict the cold chain logistics demand of urban residents in Jiangsu Province during the Twelfth Five-Year Plan period.The results show that in the period 2010-2015,the cold chain logistics demand of urban residents in Jiangsu Province is 1 151.589 1,1 185.136 6,1 219.661 3,1 255.191 8,1 291.757 3,1 329.388 1 t respectively;in the period 2005-2010,the cold chain logistics demand of urban residents in Jiangsu Province increases at annual growth rate of 3.9%;in the period 2011-2015,the growth rate declines to some extent,increasing slowly at rate of 2.9%.

Spindle Thermal Error Optimization Modeling of a Five-axis Machine Tool

Aiming at the problem of low machining accu- racy and uncontrollable thermal errors of NC machine tools, spindle thermal error measurement, modeling and compensation of a two turntable five-axis machine tool are researched. Measurement experiment of heat sources and thermal errors are carried out, and GRA（grey relational analysis） method is introduced into the selection of tem- perature variables used for thermal error modeling. In order to analyze the influence of different heat sources on spindle thermal errors, an ANN （artificial neural network） model is presented, and ABC（artificial bee colony） algorithm is introduced to train the link weights of ANN, a new ABC- NN（Artificial bee colony-based neural network） modeling method is proposed and used in the prediction of spindle thermal errors. In order to test the prediction performance of ABC-NN model, an experiment system is developed, the prediction results of LSR （least squares regression）, ANN and ABC-NN are compared with the measurement results of spindle thermal errors. Experiment results show that the prediction accuracy of ABC-NN model is higher than LSR and ANN, and the residual error is smaller than 3 pm, the new modeling method is feasible. The proposed research provides instruction to compensate thermal errors and improve machining accuracy of NC machine tools.

用T4C模式培养高阶能力:对杜威教学法的重建

约翰·杜威的五步教学法在教育领域具有重要意义。本研究重新审视了杜威的五步教学法,强调该教学法忽视的杜威哲学中的要素:民主、共同体中的交流与合作、对工具的使用、对结果的反思,以及最终作品的产生和共同体的改善。本文通过深入研究杜威著作,结合其中蕴含的其他重要要素提出了T4C模式。T4C模式强调个体的探究性学习(C1代表批判性思维和问题解决,杜威称之为反思性思维或实践)是在共同体中利用工具(Tools,如概念、技术等)以合作(C2)和交流(C3)的方式开展的。这种探究性学习的预期结果是获得创造性的新体验和新工具(C4)。T4C模式为现代社会所迫切需要的工具使用能力、批判性思维、交流能力、合作能力和创新能力等高阶能力,提供了培养框架,其本质在于用高阶能力培养高阶能力,有助于实现杜威社会政治理想中民主与教育的根本关联。

A Generic Kinematic Model for Three Main Types of Five-axis Machine Tools

Material removal is one of the most used processes in manufacturing. Five-axis CNC machines are believed to be the best tools in sculptured surface machining. In this study, a generic and unified kinematic model was developed as a viable alternative to the particular solutions that are only applicable to individual machine configurations. This versatile model is then used to verify the feasibility of the two rotational joints within the kinematic chain of three main types of a five-axis machine-tool. This versatile model is very useful applied to the design of five-axis machine tools.

Personality Trait Detection via Transfer Learning

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.

基于波特五力模型的中外合作办学竞争态势研究

随着国际形势的深度演变和调整,中外合作办学在推动国内国际双循环相互促进的高等教育新发展格局方面将发挥独特且重要的作用。通过引入“波特五力模型”,基于举办方、用户、潜在新增办学体、其他类型办学体、同类内部等五个方面,从宏观维度全面系统分析当前中外合作办学面临的系统性竞争态势。主要表现为:举办方投入呈现出政府财力与外方师资的双重聚集效应;用户评价呈现差异化诉求与认可度提升并存;替代品竞争呈现市场细分背景下的“错位竞争”格局;新进入者竞争呈现国家政策引导与高校发展需求助推市场扩充态势;同类内部竞争表现为举办方办学实力及社会声誉辐射衍生的分层现象。研究认为,中外合作办学应实施差异化竞争策略,彰显中外合作办学独特优势及特色;推进集中型战略,形成多元化办学格局;广泛吸纳各方资源,构建办学投入长效机制;有效提升社会发展贡献度,广泛提高认可度和知名度。

煤炭港口数字孪生系统构建及应用

针对当前煤炭港口数字化转型相关研究及实践中存在的技术应用场景比较单一、对全链条全场景覆盖度不够、子系统存在信息孤岛等问题,进行煤炭港口数字孪生系统构建及应用研究。基于对煤炭港口场景的深入了解和运营实践,采用物联网、系统仿真等关键技术,在已有研究的基础上实现数据标准化和接口标准化,提出涵盖全要素、全流程、全场景的煤炭港口数字孪生架构和五维模型。依托某煤炭港口进行应用,系统实现了全面准确反映港口运营情况、规避煤炭自燃安全隐患、大幅提升运营效率的目标。

“三创五育”背景下“双一流”高校本科人才培养的DIE模式初探及评价

针对新时代背景下“双一流”高校人才培养的发展需求,在“三创五育”理念指导下,解析基于产学研合作理论引入的DIE模式的内涵,系统阐述了DIE理念贯彻下的教学系统设计并付诸实践,旨在打破教学系、研究所、企业之间的壁垒,为学生学习、实践提供更多样化的渠道。问卷调查结果表明DIE模式在本科生团队协作、学术创造、自信心树立等方面有切实作用,为培养全面发展的高素质本科人才提供了参考。

基于用户性格和语义-结构特征的文本评论情感分类方法

由于传统文本评论情感分类方法通常忽略用户性格对于情感分类结果的影响,提出一种基于用户性格和语义-结构特征的文本评论情感分类方法(User Personality and Semantic-structural Features based Sentiment Classification Method for Text Comments,BF_Bi GAC).依据大五人格模型能够有效表达用户性格的优势,通过计算不同维度性格得分,从评论文本中获取用户性格特征.利用双向门控循环单元(Bidirectional Gated Recurrent Unit,Bi GRU)和卷积神经网络(Convolutional Neural Network,CNN)可以有效提取文本上下文语义特征和局部结构特征的优势,提出一种基于Bi GRU、CNN和双层注意力机制的文本语义-结构特征获取方法.为区分不同类型特征的影响,引入混合注意力层实现对用户性格特征和文本语义-结构特征的有效融合,以此获得最终的文本向量表达.在IMDB、Yelp-2、Yelp-5及Ekman四个评论数据集上的对比实验结果表明,BF_Bi GAC在分类准确率(Accuracy)和加权macro F_(1)值(F_(w))上均获得较好表现,相对于拼接Bi GRU、CNN的情感分类方法(Sentiment Classification Method Concatenating Bi GRU and CNN,Bi G-RU_CNN)在Accuracy值上分别提升0.020、0.012、0.017及0.011,相对于拼接CNN、Bi GRU的情感分类方法(Sentiment Classification Method Concatenating CNN and Bi GRU,Conv Bi LSTM)F_(w)值上分别提升0.022、0.013、0.028及0.023;相对于预训练模型BERT和Ro BERTa,BF_Bi GAC在保证分类精度的情况下获得了较高的运行效率.

基于Word2Vec和LDA主题模型的中国省级五年规划“文化政策”文本研究

运用Word2Vec和LDA相结合的主题模型分析技术,对我国31个省份三个时期五年规划文本中文化政策部分进行主题识别,从时间和空间两个维度进行“文化政策”主题挖掘和演化分析。研究发现,“文化政策”主题在发展趋势、重点转移、政策导向、技术应用等方面随时间推移呈现不同演化趋势;四大区域受经济发展水平、文化资源禀赋、政策导向影响,在企业角色强调程度、地区特色旅游发展以及国家级项目和竞争力方面存在地域差异。

一种光伏组件5参数模型参数求解算法

针对目前牛顿-拉夫逊法在求解光伏组件5参数模型特征参数时存在的雅克比矩阵奇异化和参数漂移问题,本文运用Levenberg-Marquardt(LM)算法求解光伏组件5参数模型参数。结合目前两种常用组件实测数据的算例分析,验证了本文所提出的LM方法对不同类型组件具有精度高、收敛速度快、实用性强等优点。

综合育人机制下高职院校课程思政建设研究——以“西门子1500工业控制技术”课程为例

高等职业院校落实立德树人根本任务的重要途径是课程思政建设。探索基于智能制造产业人才标准,开发“德技并修、工学结合、知行合一”综合育人机制下的高职院校课程思政建设路径。一是多导师协同跟进,构建校企协同育人新格局;二是搭建“三线相融、八匠五合”育人大场域,实施“全程全域”课程思政;三是创建“五型育人”长效可持续课程思政建设机制,以期为高职院校课程思政建设提供理论参考和实践经验。

铁路智能客站数字孪生模型研究

铁路智能客站数字孪生模型是智能客站的重要组成部分,对于客运组织方案、设备配置及布局优化、安全应急等仿真具有重要意义。研究提出智能客站数字孪生五维模型,给出客站物理实体、客站数字孪生体、客站虚实连接、客站孪生数据、客站孪生体服务的内涵;设计客站孪生体服务的具体内容,包括可视化调度指挥、可视化监控运维等车站可视化服务,以及客运组织方案仿真、设备配置及布局优化模拟、安全应急仿真、环境舒适度调控仿真等模拟仿真服务;研究客站数字孪生体虚拟静模型与动行为模型建模关键技术。构建清河站数字孪生体并开展试验,验证可视化调度指挥、设备虚拟巡检、车站安全应急仿真等功能,实现清河站通过数字孪生体全面掌控车站状况。

新时代“大思政课”建设的高职向度与实践进路

“大思政课”之“大”,体现在大体系、大课堂、大资源、大师资和大格局。高职院校推进“大思政课”建设,要正视多维资源难以有机整合、多种载体难以有力运用、多元主体难以有效协同等现实困境,在内容、方法和格局上体现高职特点、彰显职教特色。在实践层面,通过建设“大思政课”的“真理课堂”“行走课堂”“空中课堂”“活动课堂”和“渗透课堂”,探索构建“理论实践相互结合、线上线下相互融合、课内课外相互配合、课程思政和思政课程相互联合”的“五课堂联动”大思政课实施模式。

Structure of Essential Spectrum and Discrete Spectra of the Energy Operator of Five-Electron Systems in the Hubbard Model. Third and Fourth Doublet States

We consider a five-electron system in the Hubbard model with a coupling between nearest-neighbors. The structure of essential spectrum and discrete spectrum of the systems in the third and fourth doublet states in a v-dimensional lattice is investigated. We prove that the essential spectrum of the system in a third doublet state consists is the union of at most four segments, and discrete spectrum of the system is empty. We show that the essential spectrum of the system in a fourth doublet state consists of the union of at most seven segments, and discrete spectrum of the system consists of no more than one point.