Impact of Doctoral Student Training Process Fit on Doctoral Students’ Mental Health

Background:Doctoral students have much higher risk of anxiety or depression than general population.Doctoral students worldwide are facing varying degrees of mental health risks.Method:Based on the survey data of 6,812 doctoral students worldwide in Nature in 2019,Probit and Logit models are used to explore the correlation between thefit of doctoral education and training process and the mental health of doctoral students.Results:(1)The training environmentfit of doctoral students has a significant positive impact on their mental health.(2)The academic professionfit of doctoral students has a significant positive impact on their mental health.(3)The orga-nizational culturefit of doctoral students has a significant positive impact on their mental health.(4)Thefinancial supportfit of doctoral students has a significant positive impact on their mental health.Conclusion:The higher the degree of doctoral students’training environmentfit,academic professionfit,organizational culturefit,andfinancial supportfit,the lower the possibility of anxiety or depression among doctoral students.The current research results can help reveal extensive factors that affect the mental health of doctoral students,facilitate the planning and development of effective intervention measures by universities,improve thefit of the doctoral education and training process,improve the mental health of doctoral students,and boost academic excellence.

Thinking Process of Nursing Students’ Clinical Judgment in Pediatric Nursing Practicum

This aim is to clarify thinking process of nursing students’ clinical judgment, i.e., how nursing students act and think and what influences this thinking process of identifying approaches necessary for the children under their care in pediatric nursing practicum. By the analysis of M-GTA, students concurrently performed “A: Analytically contemplating the state of this child’s body” and “B: Contextually contemplating this child’s?individuality”. As a result, they acquired “C: Understandingof this child as a familiar existence.” This allows students to enable them to “D: Identify the necessary approach using judgment criteria for this child.” Furthermore, as situations that promote thinking by relating to all processes of thinking, students experienced “E: Attempts to solve problems through various measures” and “F: Encouragement of thinking through reflection.” Meanwhile, “G: Stagnation of thinking because of concerning matters” inhibited the progress of thinking. We found a need for education after grasping the process of student thought.

Impacts of Online Remote Education on the Learning Process among Nursing Students

The period of existence and spread of Corona virus has led to the use of all means of remote education as an urgent necessity for all educational facilities, especially universities. Aim: Therefore, it was necessary to study the impacts of online remote education on the learning process among nursing students through studying of two courses;health information management at 6th semester and gerontology nursing course at 4th semester. Tool of Data Collection: A modified questionnaire comprised of forty statements was used through paper-based survey and online survey. Sample: A total samples (224) of nursing students were participated in the survey who enrolled in 2019 and 2020 spring semesters. Setting: The field of study was the nursing department of Applied Medical Science at Misr University for Science and Technology. Results: Induced positive impacts of online education on the learning process for nursing students experience were proven as more than half of the students (53.9%) had prior experience on online system use, and more than two thirds (62.5%) were competent in mobile/computer applications. Almost, two thirds (59.3%) agreed about online assessment experience, except that the online exam was anxious, and the time was insufficient to answer all questions. Also, more than two thirds (64.7%) agreed about the learning process of the two nursing courses. Conclusion: The study concluded that there were positive impacts of online education system on the learning process for nursing students except that the students were not able to decide that the remote online education system can replace traditional face-to-face learning as the clinical experience was not evaluated through this study. Recommendation: This study is recommended to be repeated on a large scale of participants to assess the possibility of achieving clinical experience through online remote education if Corona virus still coexists.

扩展目标跟踪Student’s t逆Wishart平滑算法

脉冲干扰和离群量测信息等因素通常会导致异常的厚尾噪声,这使得以高斯假设为前提的扩展目标跟踪(ETT)估计器的性能急剧降低,针对该问题该文提出一种基于扩展目标随机矩阵模型(RMM)的Student’s t逆Wishart平滑(StIWS)算法。首先,将目标的运动状态以及过程噪声和量测噪声建模为Student’s t分布以表征异常噪声对扩展目标概率分布的影响,将目标扩展状态建模为服从逆Wishart分布的随机矩阵。然后,在Student’s t贝叶斯平滑框架下,详细推导了能在扩展目标的多重特征动态演变的过程中有效估计目标状态的StIWS算法。最后,通过扩展目标跟踪的仿真实验结果和真实场景实验结果验证了所提算法的有效性。

A Probe into the Relationship between Native Language Thinking and the Oral English Output Process of the College Students

Scholars have used the method of thinking aloud to conduct experiments on the relationship between mother tongue thinking and college students' spoken English output process.Referring to the experimental data,this essay try to do a further study on mother tongue thinking' function of each oral output process,especially the function of the idea-organizing.It is designed to enable non-English major college students consciously to take advantage of the positive transfer of mother tongue thinking and take the initiative to adapt to the English thinking pattern in order to achieve the objective of improving their English oral communication skills and ensure the effectiveness of language learning.

Some Knacks of Evaluating Students' Writing

It is acknowledged that teachers' instruction and guidance play an important role in students' improvements of schooling. A number of teachers, however, regard effectively responding to students' papers as a touchy issue. In order to address this problem, this essay will review some of the major studies on teachers' response to students' writing in a historical way and, from these studies, some beneficial methods will be suggested, such as a process approach, collaborative ways of writing and motivational techniques.

The effects of applying an assessment form based on the health functional patterns on nursing student's attitude and skills in developing the nursing process

Objectives: Comprehensive nursing assessment,as the first step in the nursing process,involves the systematic and constant data gathering to facilitate the development of the patient-specific nursing process.The aim of this study is to determine the effects of applying an assessment form based on the health functional patterns on nursing student's attitude and skills in developing nursing process.Methods: A randomized controlling design was conducted.Of 84 undergraduate nursing students,42 students were allocated to the intervention or control group.In clinical education,a patient assessment form based on Gordon's functional health patterns was applied to help students in the intervention group to develop nursing process,while the control group received traditional methods.The data were gathered using a demographic information questionnaire,skills in nursing process development checklist,and attitudes towards nursing process questionnaire.Results: The average scores for students' attitude and skills in developing nursing process in the intervention group were greater than those of the control group.Conclusion: Applying nursing assessment using the patient assessment form based on Gordon's functional health patterns can improve the students' learning in developing nursing process.

The problem-based learning integrated with simulation to improve nursing students’ self-efficacy

Introduction: The purposes of this study were to describe the simulation integrated with problem-based learning (SIM-PBL) module to educate the nursing process for clients with hypertension and to evaluate its effectiveness on nursing students’ self-efficacy (SE). Methods: This study was a one group pre- and post-test design. Twenty five students received a 5-hour SIM-PBL program focused on nursing care of clients with hypertension. A newly developed self-report questionnaire was used to assess SE in four areas of the nursing process with a scale of 0 (not at all confident) to 10 (totally confident). The four areas were subjective data assessment, physical examination, prioritizing nursing care and health promotion advices. Results: At baseline, students’ SE ranged from 5.5 ± 1.4 (prioritizing nursing care) to 7.6 ± 1.4 (subjective data assessment). After SIM-PBL education, all areas of nursing process presented statistically significant improvements of SE. The improvements were most noticeable in prioritizing nursing care. Conclusion: The SIM-PBL module was effective in improving the students’ self-efficacy in the nursing process for patients with hypertension. Further studies are recommended in developing SIM-PBL modules for diverse nursing topics and evaluating their effectiveness in various aspects of students’ competency.

The Impact of Social Media Networks Websites Usage on Students’ Academic Performance

Social Networks Sites (SNSs) are dominating all internet users’ generations, especially the students’ communities. Consequently, academic institutions are increasingly using SNSs which leads to emerge a crucial question regarding the impact of SNSs on students’ academic performance. This research investigates how and to what degree the use of SNSs affects the students’ academic performance. The current research’s data was conducted by using drop and collect surveys on a large population from the University of Jordan. 366 undergraduate students answered the survey from different faculties at the university. In order to study the impact of SNSs on student’s academic performance, the research hypotheses was tested by using descriptive analysis, T-test and ANOVA. Research results showed that there was a significant impact of SNS on the student’s academic performance. Also, there was a significant impact of SNS use per week on the student’s academic performance, whereas no differences found in the impact of use of SNSs on academic performance due to age, academic achievement, and use per day to most used sites. The findings of this research can be used to suggest future strategies in enhancing student’s awareness in efficient time management and better multitasking that can lead to improving study activities and academic achievements.

厚尾噪声条件下星凸形扩展目标student’s t滤波器

针对非线性非高斯厚尾噪声条件下的不规则形状的扩展目标跟踪问题,提出了基于随机超曲面模型(RHM)的星凸形扩展目标student’s t滤波算法.首先,在带有非高斯厚尾过程噪声和厚尾量测噪声的系统中,基于student’s t分布给出鲁棒student’s t滤波器.其次,利用随机超曲面模型描述任意星凸形扩展目标的量测源分布,提出带厚尾噪声的星凸形扩展目标student’s t滤波器.最后通过仿真验证了所提方法的正确性和有效性.

邻域信息约束融合Student's t混合模型的医学图像分割

医学图像的高噪声以及偏移场的存在使得传统图像分割方法在分割此类图像时分割效果不理想.针对上述问题,提出一种邻域信息约束融合Student's t混合模型分割算法.首先,获取像素点的邻域信息进行滤波操作以达到降噪效果;其次,构建Student's t混合模型,通过噪声平滑因子融合邻域信息约束修正先验概率;最后,利用最大期望(EM)算法求解,获取最大后验概率实现图像分割.实验结果采用DICE指标验证了算法的有效性.

Student’s t滤波框架下的信息融合算法

针对多传感器系统的观测噪声为非高斯噪声的问题,通过Student’s t滤波框架和四元数特性相结合,以无迹变换计算Student’s t加权积分函数,设计基于Student’s t分布的无迹四元数滤波算法,作为局部滤波算法.利用拉格朗日乘子法计算最优融合权重系数,通过线性加权融合的方式,对各局部滤波结果进行融合.采用基于四元数的目标姿态运动模型进行仿真,利用3个星敏感器同时对同一目标进行观测,通过与已有的鲁棒无迹Student’s t滤波(RSTUF)算法对比,验证所提算法的有效性.仿真结果表明:所提算法在对目标姿态的估计精度、滤波收敛速度及收敛后的数值稳定性方面均高于RSTUF算法;通过多个观测信息互补,提高了估计精度及容错性.

基于Student′s t分布的不依赖子波最小二乘逆时偏移

最小二乘逆时偏移(Least-Squares Reverse Time Migration,LSRTM)与常规偏移相比具有更高的成像分辨率、振幅保真性及均衡性等优势,是当前研究的热点之一.震源子波的估计直接影响LSRTM结果的好坏,在实际情况下考虑到震源子波的空变特性,其估计十分困难.为了消除子波对LSRTM结果的影响,本文发展了基于卷积目标泛函的不依赖子波LSRTM算法.目标泛函由观测记录卷积模拟记录的参考道以及模拟记录卷积观测记录的参考道组成,由于观测子波和模拟子波在目标泛函的两项中同时存在,从而消除了子波的影响.此外,常用的基于L2范数拟合的LSRTM算法对噪声非常敏感,尤其是当地震数据中含有异常值时,常规LSRTM无法得到满意的结果.Student′s t分布相比L2范数具有更好的稳健性,本文将其推广到不依赖子波LSRTM中,提升了算法的稳健性,最后通过理论模型及实际资料试算验证了算法的有效性和对复杂模型的适应性.

带厚尾噪声的鲁棒Student’s t容积滤波器

为了解决带厚尾过程和量测噪声的非线性状态估计问题,本文提出了一种新的鲁棒非线性滤波器.首先,对带厚尾过程和量测噪声的非线性系统进行了数学建模,并推导了基于Student’s t近似的鲁棒非线性滤波器(RSTNF)的一般结构.其次,针对RSTNF中涉及到的含有关于Student’s t分布的多维非线性函数积分的求解问题,提出了基于Student’s t分布的球径容积准则(STSRCR),并在此基础上设计了一种新的鲁棒Student’s t容积滤波器(RSTCF).最后,利用目标跟踪仿真验证了本文提出的带厚尾噪声的RSTCF的有效性以及与现有方法相比的优越性.

量测随机延迟下带厚尾噪声的鲁棒Student’s t随机容积卡尔曼滤波器

针对量测随机延迟下带厚尾过程噪声和量测噪声的非线性状态估计问题,本文通过充分考虑量测一步随机延迟特性及过程噪声和量测噪声的“厚尾”特性,推导了一种新的鲁棒Student’s t滤波器框架,并采用随机Student’s t-球面相径容积规则近似计算Student’s t权值积分,从而设计了一种新的鲁棒Student’s t随机容积滤波器.首先,采用一组服从伯努利分布的随机序列来描述系统中可能存在的量测一步随机延迟现象,并采用Student’s t分布刻画过程噪声和量测噪声中存在的“厚尾”特性;其次,从理论上证明了当自由度参数趋于无穷以及随机延迟概率为零时,该鲁棒Student’s t滤波器就自动地降为标准的非线性高斯近似滤波器;最后,采用随机Student’s t-球面相径容积规则给出了一种新的鲁棒Student’s t随机容积滤波器,并通过协同转弯模型验证了该滤波器的有效性和优越性.

A two-step transient liquid phase diffusion bonding process of T91 steels

In this study, a two-step heating process is introduced for transient liquid phase （ TLP） diffusion bonding fo r sound joints with T91 heat resistant steels. At first, a short-time higher temperature heating step is addressed to melt the interlayer, followed by the second step to complete isothermal solidification at a low temperature. The most critical feature of our new method is producing a non-planar interface at the T9／ heat resistant steels joint. We propose a transitional liquid phase bonding of T91 heat resistant steels by this approach. Since joint microstructures have been studied, we tested the tensile strength to assess joint mechanical property. The result indicates that the solidified bond may contain a primary solid-solution, similar composition to the parent metal and free from precipitates. Joint tensile strength of the joint is not lower than parent materials. Joint bend＇s strengths are enhanced due to the higher metal-to-metal junction producing a non-planar bond lines. Nevertheless, the traditional transient liquid phase diffusion bonding produces planar ones. Bonding parameters of new process are 1 260 °C for 0. 5 min and 1 230 °C fo r 4 min.

非对称三参数Student-t分布的参数估计及应用

文章基于t分布构造了一个新的非对称三参数Student-t分布。推导了新分布的累计分布函数、分位数函数、随机变量表达式和原点矩估计等基础性质,使用了矩方法、极大似然估计法和贝叶斯估计法等进行了参数估计,并通过生成模拟数据的方法比较验证了三种方法的合理性。最后,将新分布代入实例中拟合,结果表明新分布相比其他的分布,在非对称和厚尾方面具有更好的拟合能力。

Modeling and forecasting exchange rate volatility in Bangladesh using GARCH models:a comparison based on normal and Student's t-error distribution

Background:Modeling exchange rate volatility has remained crucially important because of its diverse implications.This study aimed to address the issue of error distribution assumption in modeling and forecasting exchange rate volatility between the Bangladeshi taka(BDT)and the US dollar($).Methods:Using daily exchange rates for 7 years(January 1,2008,to April 30,2015),this study attempted to model dynamics following generalized autoregressive conditional heteroscedastic(GARCH),asymmetric power ARCH(APARCH),exponential generalized autoregressive conditional heteroscedstic(EGARCH),threshold generalized autoregressive conditional heteroscedstic(TGARCH),and integrated generalized autoregressive conditional heteroscedstic(IGARCH)processes under both normal and Student’s t-distribution assumptions for errors.Results and Conclusions:It was found that,in contrast with the normal distribution,the application of Student’s t-distribution for errors helped the models satisfy the diagnostic tests and show improved forecasting accuracy.With such error distribution for out-of-sample volatility forecasting,AR(2)–GARCH(1,1)is considered the best.

基于Student-t分布的混合模型图像分割方法

传统图像分割方法在分割被重尾噪声污染的图像时的分割效果不理想。针对该问题,提出一种基于Student-t分布的图像分割方法。该方法根据像素间的空间关系,计算出其先验概率,使用梯度下降法优化参数,从而最小化误差函数,在参数优化后得到像素点的后验概率值,对像素进行标记以实现图像分割。实验结果表明,在处理被重尾噪声腐蚀的图像时,与传统的K-均值、模糊C-均值等图像分割方法相比,该方法的误分率较低,分割效果较好。