Attitude of nursing students towards Internet-based nursing services for the aged

Objective To investigate the attitude,willingness,and motivation of third-year undergraduate nursing students from a university of Chinese medicine toward Internet-based nursing services for the aged(IBNSA),providing a reference for its development and related nursing education.Methods This study was conducted from March to April 2019.Using a self-designed questionnaire,this cross-sectional study comprised 508 third-year undergraduate nursing students from a university of Chinese medicine.The questionnaire was divided into two parts.The first part contained the general information of nursing students.The second part investigated nursing students’attitudes,willingness,and motivation towards IBNSA(a total of seven questions).Results Of the 508 nursing students,314(61.81%)expressed support for the IBNSA,44(8.66%)expressed disapproval.Regarding career choice,279(54.92%)were willing to choose IBNSA,51(10.04%)were unwilling.The top three motivations for choosing IBNSA as a nursing student career were increased income,high autonomy and flexibility,and good job prospects.On the contrary,the top three reasons not to choose this option were safety concerns,lack of time and energy,and unwillingness to undertake elderly care.Experience with community activities or a part-time job,experience with elderly care,willing to choose the nursing profession,willing to engage in nursing care after graduation,and willing to engage in nursing for elderly patients after graduation were significantly associated with the motivation of nursing students to participate in IBNSA(P<0.05).Conclusion The majority of nursing students have a positive attitude towards IBNSA and are willing to choose it as their future career.Nurses’and patients’safety guarantees and salary distribution were critical factors influencing their choice.Nursing schools should pay attention to the concerns of nursing students,constantly improve the management system of IBNSA,strengthen safety education,and provide professional knowledge and skills to improve the quality of personnel training.

Inflammatory bowel disease: An evaluation of health information on the internet

To evaluate the quality and accuracy of websites written to the public on inflammatory bowel disease (IBD) (Crohn’s disease and ulcerative colitis) and assess their readability level.METHODSGoogle™, Bing™, and Yahoo™ search engines were searched independently by three researchers in December 2014. Only English-language websites were selected on the basis of predetermined inclusion and exclusion criteria. Researchers independently evaluated the quality of each website by using the DISCERN and the HONcode instruments. The readability levels were calculated using two formulas; the Flesch-Kincaid Grade Level Index, and the Coleman-Liau Readability Index. The agreement between the evaluators was calculated using Cohen kappa coefficient.RESULTSEighty-four websites were finally identified. Scores varied from a minimum DISCERN score of 18 to a maximum of 68 [mean ± SD, 42.2 ± 10.7; median = 41.5, interquartile range, interquartile range (IQR) = 15.8] and a minimum score of HONcode of 0.14 and a maximum of 0.95 (mean ± SD, 0.16 ± 0.19; median = 0.45, IQR = 0.29). Most of these websites were reviewed in 2014 and 2015 (n = 51). The creators of these websites were: universities and research centers (n = 25, 30%), foundations and associations (n = 15, 18%), commercial and pharmaceutical companies (n = 25, 30%), charities and volunteer work (n = 9, 10%), and non-university educational bodies (n = 10, 12%). The Flesch-Kincaid Grade Level readability score (mean ± SD) was 11.9 ± 2.4 and the Coleman-Liau Readability Index score was 12.6 ± 1.5. Significant correlation was found between the two readability scores (R2 = 0.509, P = 0.001). The overall agreement between evaluators measured by Cohen kappa coefficient was in the range of 0.804-0.876; rated as 'Good'.CONCLUSIONThe DISCERN and the HONcode scores of websites varied and the readability levels of most websites were above the public readability level. The study highlights the areas that need further improvement and development in patient education online materials about IBD.

Simulating the Inverse Kinematic Model of a Robot through Artificial Neural Networks： Complementing the Teaching of Robotics

Teaching robotics necessarily involves the study of the kinematic models of robot manipulators. In turn, the kinematics of a robot manipulator can be described by its forward and reverse models. The inverse kinematic model, which provides the status of the joints according to the desired position for the tool of the robot, is typically taught and described in robotics classes through an algebraic way. However, the algebraic representation of this model is often difficult to obtain. Thus, although it is unquestionable the need for the accurate determination of the inverse kinematic model of a robot, the use of ANNs （artificial neural networks） in the design stage can be very attractive, because it allows us to predict the behavior of the robot before the formal development of its model. In this way, this paper presents a relatively quick way to simulate the inverse kinematic model of a robot, thereby allowing the student to have an overview of the model, coming to identify points that should be corrected, or that can be optimized in the structure of a robot.

A study on the Web intelligence

This paper surveys important aspects of Web Intelligence (WI). WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web - related products, systens, and activities. As a direction for scientific research and devlopment, WI can be extremely beneficial for the field of Artificial Intelligence in Education (AIED). This paper covers these issues only very briefly. It focuses more on other issues in WI, such as intelligent Web services, and semantic web, and proposes how to use them as basis for tackling new and challenging research problems in AIED.

Neural Networks and the Study of Time Series： An Application in Engineering Education

Time series are an important object of study in sciences, engineering and business, especially in cases where it is expected to know, predict and optimize behaviors. In this context, we intend to show the feasibility of using artificial neural networks in the study of several time series in an engineering course, especially those that have no overt behavior or are not able to be modeled mathematically in a simple way and have direct application in the education of future engineers.

Reflections on the Dilemma and Solutions of College Students’ Innovation and Entrepreneurship Education under the Background of “Internet Plus”

Appropriate innovation and Entrepreneurship Education in the university can effectivelypromote the reform of teaching mode and improve the quality of personnel training. With the emergence of the “InternetPlus”, it is inevitable to integrate the Internet and innovation educationorganically. In this paper, on the basis of the existing literature and data review as well as the field researches in some universities, the author sorted out the plight of the present situation of College Students’ innovation and Entrepreneurship Education under the background of the “InternetPlus”, expounded the function and significance of innovation and entrepreneurship education, and puttedforward some suggestions to the construction of universities’ innovation and entrepreneurship education system, to promote students’ overall growh and social progress.