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An Empirical Study of the Influence of Online Learning Behaviors on Learning Outcomes in Blended Teaching Mode—Taking <i>College English Listening</i> as an Example 混合式教学模式下网络学习行为对学习效果影响的实证研究& & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & &;举个例子
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.139121
Lanlan Wei
Blended teaching, which integrates the advantages of online and offline teaching, has become the main direction of higher education teaching reform. In the era of education big data, research on the online learners’ behavior based on data mining has attracted more and more attention from higher education researchers. However, in the field of foreign language teaching, research on the relationship between online learning behaviors and learning outcomes in the blended teaching mode is still at an early stage. Taking the course College English Listening in Zhejiang Yuexiu University (ZYU) as an example, this study conducted a comprehensive data analysis of online learning behaviors of 152 students of ZYU to explore the influence of online learning behaviors on learning outcomes in the blended teaching mode by utilizing Microsoft Excel and SPSS.20 statistic software. The result shows that the number of course login, the quantity and the quality of forum replies, the number of note submission, the quality of the notes, the average score of vocabulary tests, the number of the times of taking listening tests and the average score of listening tests are all significantly and positively correlated with students’ learning outcomes, while the study does not find a correlation between students’ learning outcomes and the number of the times of taking vocabulary tests, the total length of online learning and the length of video viewing. Based on the study results, implications are put forward to give reference for the teaching design and the management of the foreign language blended courses.
融合线上和线下教学优势的混合式教学已成为高等教育教学改革的主要方向。在教育大数据时代,基于数据挖掘的在线学习者行为研究越来越受到高等教育研究者的关注。然而,在外语教学领域,对混合式教学模式下在线学习行为与学习成果关系的研究还处于初级阶段。本研究以浙江越秀学院大学英语听力课程为例,利用Microsoft Excel和SPSS.20统计软件,对浙江越秀学院152名学生的在线学习行为进行了全面的数据分析,探讨混合式教学模式下在线学习行为对学习成果的影响。结果表明:课程登录次数、论坛回复数量和质量、笔记提交次数、笔记质量、词汇测试平均成绩、听力测试参加次数和听力测试平均成绩与学生的学习成果呈显著正相关;虽然这项研究没有发现学生的学习成果与参加词汇测试的次数、在线学习的总时长和观看视频的时长之间存在相关性。根据研究结果,提出了对外语混合课程教学设计和管理的启示。
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引用次数: 0
Morphological and Genetic Differentiation of Fish of the Subgenus <i>Chrysichthys chrysichthys</i> from Ivorian Rivers </i> Chrysichthys </i>来自科特迪瓦河流
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.138106
Tionrotia Alice Sita, Abouo Beatrice
Fish of the Chrysichthys genus are subject to intense exploitation, which is threatening the available stock. The implementation of a sustainable resource management plan requires a good knowledge of the biodiversity of this genus. The aim of this study was to determine the morphological and genetic characteristics of the fish of the subgenus Chrysichthys chrysichthys in order to identify descriptors for differentiating the species of this subgenus present in Côte d’Ivoire. The biometric analysis involved forty-one morphological measurements taken from each of the 255 specimens sampled in five hydro systems. The genetic analysis of the D-loop mitochondrial DNA sequence was carried out in 34 specimens. The amplicons obtained by PCR were subjected to sequencing. Individual analysis of morphometric characters divided the subgenus into two different species: C. maurus and C. auratus. The high classification rate (>90%) of the Discriminant Factor Analysis confirmed the existence of these two species. Wilk’s Lambda test revealed thirteen discriminating descriptors. Phylogenetic analysis confirmed the existence of both species. Within the C. maurus species, fish from the river Bia are genetically different from those from other rivers. On the other hand, this population is fairly close to that of the C. auratus species, which is also divided into two different clades. Finally, molecular analysis corrected the taxonomic status of the fish.
黄鳞鱼属鱼类受到强烈的开发利用,威胁到现有的鱼类资源。可持续资源管理计划的实施需要对该属的生物多样性有很好的了解。本研究的目的是确定Chrysichthys Chrysichthys亚属鱼类的形态和遗传特征,以确定区分Côte科特迪瓦存在的该亚属物种的描述符。生物计量分析包括从五个水系的255个样本中每一个样本进行的41个形态学测量。对34个标本进行D-loop线粒体DNA序列的遗传分析。对PCR得到的扩增子进行测序。形态特征的个体分析将该亚属划分为两个不同的种:毛毛和auratus。判别因子分析的高分类率(>90%)证实了这两个物种的存在。威尔克的Lambda测试揭示了13个有区别的描述符。系统发育分析证实了这两个物种的存在。在毛毛鳗种类中,来自比亚河的鱼在基因上与来自其他河流的鱼不同。另一方面,这个种群与C. auratus物种相当接近,后者也被分为两个不同的分支。最后,分子分析修正了该鱼的分类地位。
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引用次数: 0
The Local Acceleration Due to Gravity as Determined with a Cart and Track 由小车和轨道确定的局部重力加速度
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.139129
Joaquim Bocresion
The aim of this lab is to determine an experimental value for the local acceleration due to gravity. In order to do this, a cart was released down a track and allowed to pass through two photogates recording the entrance and exit times of the cart. These times along with the length of a light blocking strip on the cart, were used to calculate the acceleration of the cart down the track at various angles, and through linearization, the experimental value for the local acceleration due to gravity was determined to be 10.027 ± 0.312 m/s2. This value has a percent error of only 2.2% from the accepted value of 9.8 m/s2, which proves that this method of determining local acceleration due to gravity can be effective and accurate. Additionally, this experimental value shows how similar the approximation is to the accepted value.
本实验的目的是确定由重力引起的局部加速度的实验值。为了做到这一点,一辆手推车被释放到轨道上,并允许通过两个记录手推车进出时间的照相门。利用这些时间和小车上挡光条的长度,计算小车在不同角度下沿轨道行驶的加速度,通过线性化,得到局部重力加速度的实验值为10.027±0.312 m/s2。该值与接受值9.8 m/s2的误差仅为2.2%,证明了该方法确定局部重力加速度的有效性和准确性。此外,该实验值显示了近似值与可接受值的相似程度。
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引用次数: 0
Development of a Test Rig for Axial Strains Measurement in Automobile Wheel 汽车车轮轴向应变测量试验台的研制
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1310139
Samuel Onoriode Igbudu, David Abimbola Fadare
In automobile wheel application, a test rig is vital and used to simulate conditions of the wheel in service in order to affirm the safety and reliability of the wheel. The present work designed a test rig for measuring axial strains in automobile wheel. The wheel used was a five-arm wheel (6JX14H2; ET 42) and Tyre (175 × 65 R 14). Experimental (EXP) test was carried out, with a radial load of 4750 N and inflation pressure of 0.3 MPa, to measure the axil strains which were converted to maximum principal strain values and, compared with data from Finite Element Analysis (FEA) using Creo-Element/Pro 5.0 at wheel’s contact angles of 90 degree (FEA 90 deg), 40 degree (FEA 40 deg) and 30.25 degree (FEA 30.25 deg), respectively. Results show that at the wheel’s point of contact with the ground, maximum principal strain values were highest at the inboard bead seat with a value of about 5.69 × 10-4 mm/mm, followed by the values at the well of about 5.66 × 10-4 mm/mm. The value at the outboard bead seat was least at about 2.22 × 10-4 mm/mm, which was due to the presence of spikes at this location that tends to resist imposed radial loads. However, the highest mean maximum principal strain values at the locations of inboard, well and outboard, were about 2.11 × 10-4 mm/mm, 3.78 × 10-4 mm/mm and .99 × 10-4 mm/mm, respectively. With the highest single value of about 5.69 × 10-4 mm/mm, the inboard bead seat was the most strained location of the wheel. Overall results showed that all values of maximum principal strains were below the threshold value of about 1 × 10-2 mm/mm. The values obtained for EXP and FEA could be said to be in close agreement when compared with the threshold value. With this in mind, the rig is recommended for use in related experimental procedures.
在汽车车轮的应用中,试验台是至关重要的,它用来模拟车轮在使用中的状况,以确认车轮的安全性和可靠性。设计了一种汽车车轮轴向应变试验装置。所用车轮为五臂轮(6JX14H2;ET 42)和泰尔(175 × 65 R 14)。在径向载荷为4750 N、充气压力为0.3 MPa的条件下,采用Creo-Element/Pro 5.0软件分别测量车轮接触角为90°(FEA 90°)、40°(FEA 40°)和30.25°(FEA 30.25°)时的轴向应变,并将轴向应变转换为最大主应变值,与有限元分析(FEA)数据进行比较。结果表明:在车轮与地面接触点处,最大主应变值在内侧头座处最大,约为5.69 × 10-4 mm/mm,其次是井处,约为5.66 × 10-4 mm/mm;该值至少为2.22 × 10-4 mm/mm,这是由于该位置存在尖峰,倾向于抵抗施加的径向载荷。在井内、井外三个位置,最大主应变平均值分别为2.11 × 10-4 mm/mm、3.78 × 10-4 mm/mm和0.99 × 10-4 mm/mm。单次应变值最高,约为5.69 × 10-4 mm/mm,是车轮受力最大的位置。总体结果表明,最大主应变值均低于1 × 10-2 mm/mm的阈值。与阈值相比,EXP和FEA得到的值可以说是非常一致的。考虑到这一点,建议在相关实验程序中使用该钻机。
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引用次数: 0
Levels of Heavy Metals in Some Vegetables and Human Health Risk Assessment in Loumbila Area, Burkina Faso 布基纳法索隆比拉地区一些蔬菜中的重金属含量及人体健康风险评估
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.139119
Telado Luc Bambara, Moumouni Derra, Karim Kaboré, Kiswendsida Alain Tougma, Ousmane I. Cissé, Francois Zougmoré
Contamination by heavy metals of soil, water and agricultural products is currently a major problem of environmental pollution in the world. The consumption of plants contaminated with heavy metals can be the cause of diseases such as cancers, the number of cases of which is only growing. The objective of this study was to determine the concentration of copper (Cu), chromium (Cr), zinc (Zn), lead (Pb), nickel (Ni), and cadmium (Cd) in plants from the vegetable farm of LOUMBILA and the assessment of health risks linked to the consumption of plants. In this paper, the concentration of heavy metal in vegetable was measured using the model AANALYST 200 flame atomic absorption spectrometer from PERKIN ELMER. The level of Zn in the vegetables from Loumbila vegetable farms ranged between 42.95 mg/kg and 78 mg/kg. The concentrations of Zn in the studies vegetables were higher than the permissible levels set by FAO/WHO (20 mg/kg). The concentration Pb in vegetables varied from 1.73 mg/kg to 27.02 mg/kg. All concentrations of Pb in vegetable were higher than the permissible levels set by FAO/WHO (0.3 mg/kg). Daily intake of Ni, Cr and Pb was higher than the MTDI, so consumption of vegetables from Loumbila vegetable farms can lead to health problems related to Ni, Cr and Pb. In vegetables from LOUMBILA, the estimated daily intake decreased in the following order: Zn > Cu > Pb > Ni > Cr. The Hazard index values for carrot, onion, lettuce, green bean and onion leaves were greater than (>) one (1) which indicates that there might be a potential health risk to those consuming these vegetables. The Target Cancer Risk (TCR) analysis also revealed the potential cancer risk induced by Cu, Ni, Zn, Cr and Pb due to the consumption of carrot, onion leaves, onion, lettuce, green bean, and bell pepper because their TCR values were above the threshold.
土壤、水和农产品重金属污染是当前世界环境污染的主要问题。食用被重金属污染的植物可能会导致癌症等疾病,而癌症的病例数量只会不断增加。本研究的目的是确定隆比拉蔬菜农场植物中铜(Cu)、铬(Cr)、锌(Zn)、铅(Pb)、镍(Ni)和镉(Cd)的浓度,并评估与食用植物相关的健康风险。本文采用PERKIN ELMER公司的AANALYST 200型火焰原子吸收光谱仪对蔬菜中重金属的浓度进行了测定。伦比拉菜场蔬菜的锌含量在42.95 ~ 78 mg/kg之间。研究蔬菜中锌的浓度高于FAO/WHO规定的允许值(20 mg/kg)。蔬菜中铅的浓度变化范围为1.73 ~ 27.02 mg/kg。蔬菜中铅的浓度均高于FAO/WHO规定的允许值(0.3 mg/kg)。每日Ni、Cr和Pb的摄入量高于MTDI,因此食用隆比拉蔬菜农场的蔬菜会导致与Ni、Cr和Pb相关的健康问题。伦比拉地区蔬菜的日摄取量依次为Zn > Cu > Pb > Ni > Cr,胡萝卜、洋葱、生菜、绿豆和洋葱叶的危害指数均大于1(1),表明食用这些蔬菜可能存在潜在的健康风险。靶癌风险(Target Cancer Risk, TCR)分析还显示,胡萝卜、洋葱叶、洋葱、生菜、绿豆和甜椒的TCR值均高于阈值,因此食用铜、镍、锌、铬和铅会诱发潜在的癌症风险。
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引用次数: 0
Level of Insomnia, Symptoms of Depression, and Anxiety among College Students with Mobile Phone Addiction: Basis for Guidance and Counseling Program Enhancement 手机成瘾大学生失眠、抑郁、焦虑水平:加强指导咨询的依据
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1310130
Xiaowei He, Elna Lopez
Mobile phone addiction is a growing concern among college students, with significant implications for their mental health. This study examines the complex relationship between mobile phone addiction and its impact on college students’ insomnia, symptoms of depression, and anxiety. A sample of 399 college students from traditional Chinese medicine colleges in Guangxi, China, completed the Mobile Phone Addiction Tendency Scale questionnaire. Among them, 155 students with high Mobile Phone Addiction Tendency scores were selected for the correlation study. The analysis revealed a strong association between mobile phone addiction and insomnia. Furthermore, mobile phone addiction was significantly associated with symptoms of depression, including feelings of sadness, worthlessness, and hopelessness, as well as heightened anxiety symptoms, such as excessive worry and restlessness. These findings emphasized the importance of targeted interventions and preventive measures to address the negative impact of mobile phone addiction on college students’ mental health.
手机成瘾是大学生日益关注的问题,对他们的心理健康有重大影响。本研究探讨手机成瘾及其对大学生失眠、抑郁和焦虑症状的影响之间的复杂关系。选取广西中医药院校399名大学生,完成手机成瘾倾向量表问卷。其中选取手机成瘾倾向得分较高的155名学生进行相关性研究。分析显示,手机成瘾和失眠之间有很强的联系。此外,手机成瘾与抑郁症状显著相关,包括悲伤、无价值感和绝望感,以及焦虑症状加剧,如过度担忧和不安。这些发现强调了有针对性的干预和预防措施对于解决手机成瘾对大学生心理健康的负面影响的重要性。
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引用次数: 0
The Evolving Bipartite Network and Semi-Bipartite Network Models with Adjustable Scale and Hybrid Attachment Mechanisms 具有可调尺度和混合连接机制的演化二部网络和半二部网络模型
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1310133
Peng Zuo, Zhen Jia
The bipartite graph structure exists in the connections of many objects in the real world, and the evolving modeling is a good method to describe and understand the generation and evolution within various real complex networks. Previous bipartite models were proposed to mostly explain the principle of attachments, and ignored the diverse growth speed of nodes of sets in different bipartite networks. In this paper, we propose an evolving bipartite network model with adjustable node scale and hybrid attachment mechanisms, which uses different probability parameters to control the scale of two disjoint sets of nodes and the preference strength of hybrid attachment respectively. The results show that the degree distribution of single set in the proposed model follows a shifted power-law distribution when parameter r and s are not equal to 0, or exponential distribution when r or s is equal to 0. Furthermore, we extend the previous model to a semi-bipartite network model, which embeds more user association information into the internal network, so that the model is capable of carrying and revealing more deep information of each user in the network. The simulation results of two models are in good agreement with the empirical data, which verifies that the models have a good performance on real networks from the perspective of degree distribution. We believe these two models are valuable for an explanation of the origin and growth of bipartite systems that truly exist.
二部图结构存在于现实世界中许多对象的连接中,演化建模是描述和理解各种真实复杂网络内部生成和演化的一种很好的方法。以往提出的二部网络模型大多解释了附着原理,忽略了不同二部网络中集合节点的不同增长速度。本文提出了一种具有可调节点尺度和混合依恋机制的演化二部网络模型,该模型使用不同的概率参数分别控制两个不相连节点集的尺度和混合依恋的偏好强度。结果表明,当参数r和s不等于0时,模型中单个集合的度分布服从幂律偏移分布,当参数r或s等于0时,模型中单个集合的度分布服从指数分布。进一步,我们将之前的模型扩展为半二部网络模型,将更多的用户关联信息嵌入到内部网络中,使模型能够承载和揭示网络中每个用户的更深层信息。两个模型的仿真结果与经验数据吻合较好,从度分布的角度验证了模型在真实网络上的良好性能。我们相信这两个模型对于解释真正存在的二部系统的起源和发展是有价值的。
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引用次数: 0
Validation of a Characteristics Dimensions for Transfers during Convective Drying of Sweet Potato Cubic, Cylindrical and Spherical Shapes 红薯对流干燥过程中转移特征尺寸的验证:立方、圆柱形和球形
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1310135
Ouoba Kondia Honore, Ganame Abdou-Salam, Ibrango Abdoul Salam, Bama Désiré, Zougmore François
This present work solves the problem of initial shape influence on transfer during convective drying. A characteristic dimension is found for the cubic, cylindrical and spherical-shaped samples of the sweet potato. This characteristic dimension corresponds to the diameter D for the sphere, to the edge a for the cube and the diameter = height D = H for the cylinder. Unlike the sphere where this characteristic dimension is perfect, the cubic and cylindrical shapes have space factors which are, among other things, angles and borders. By fixing the same characteristic dimensions, we end up with overlapping curves, showing identical and uniform transfers.
本文解决了对流干燥过程中初始形状对传热影响的问题。找到了甘薯的立方体、圆柱形和球形样品的特征尺寸。这个特征维度对应于球体的直径D,立方体的边缘a,圆柱体的直径=高度D = H。不像球体,它的特征维度是完美的,立方体和圆柱形有空间因素,其中包括角度和边界。通过固定相同的特征维度,我们最终得到重叠的曲线,显示相同和均匀的转移。
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引用次数: 0
Prospects of Using Low-Code in the Creation of Automated Systems 在自动化系统创建中使用低代码的前景
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1310147
Conrad Onesime Oboulhas Tsahat,   NGOULOU-A-NDZELI, Patrick Aurélien Ampiri Kwai
Ever-changing market conditions and a rapidly changing IT landscape call for fast and cheap ways to meet software demands. In order to tackle these problems, low-code development platforms (LCDPs) have emerged. These platforms are designed with the idea to limit recurring traditional hand-coding and programming. This article provides a theoretical overview of low-code solutions. The advantages and disadvantages of using LCDP in the creation of automated systems are considered. In conclusion, a conclusion is formulated about the prospects of using low-code technology.
不断变化的市场条件和快速变化的IT环境需要快速和廉价的方式来满足软件需求。为了解决这些问题,低代码开发平台(lcdp)应运而生。这些平台的设计理念是限制重复出现的传统手工编码和编程。本文提供了低代码解决方案的理论概述。考虑了在创建自动化系统中使用LCDP的优点和缺点。最后,对低码技术的应用前景进行了展望。
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引用次数: 0
An Information Content and Set of Common Superconcepts-Based Algorithm to Estimate Similarity between Concepts of Ontologies 基于信息内容和公共超概念集的本体概念相似度估计算法
Pub Date : 2023-01-01 DOI: 10.4236/ojapps.2023.1311150
Gbede Sylvain Gbame, Maho Wielfrid Morie, Konan Marcelin Brou
Ontologies have been used for several years in life sciences to formally represent concepts and reason about knowledge bases in domains such as the semantic web, information retrieval and artificial intelligence. The exploration of these domains for the correspondence of semantic content requires calculation of the measure of semantic similarity between concepts. Semantic similarity is a measure on a set of documents, based on the similarity of their meanings, which refers to the similarity between two concepts belonging to one or more ontologies. The similarity between concepts is also a quantitative measure of information, calculated based on the properties of concepts and their relationships. This study proposes a method for finding similarity between concepts in two different ontologies based on feature, information content and structure. More specifically, this means proposing a hybrid method using two existing measures to find the similarity between two concepts from different ontologies based on information content and the set of common superconcepts, which represents the set of common parent concepts. We simulated our method on datasets. The results show that our measure provides similarity values that are better than those reported in the literature.
本体论已经在生命科学领域使用了多年,用于形式化地表示语义网、信息检索和人工智能等领域的知识库的概念和推理。在这些领域中探索语义内容的对应关系需要计算概念之间的语义相似度。语义相似度是对一组文档的度量,基于它们的意义相似度,它是指属于一个或多个本体的两个概念之间的相似度。概念之间的相似性也是一种信息的定量度量,它是根据概念的性质及其关系计算出来的。本文提出了一种基于特征、信息内容和结构的概念相似度识别方法。更具体地说,这意味着提出一种混合方法,使用两种现有的度量来发现来自不同本体的两个概念之间的相似性,基于信息内容和共同超概念集(代表共同父概念集)。我们在数据集上模拟了我们的方法。结果表明,我们的测量方法提供的相似度值优于文献报道的相似度值。
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引用次数: 0
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Open Journal of Applied Sciences
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