Objective\nTo explore the impact of a Kanban network platform on the quality of teaching of medical interns in a vascular surgery department.\nMethods\nAn experimental design was used in the study. A total of 202 trainees from five-year clinical medicine majors were enrolled in the study from West China Medical University who entered the vascular department of West China Hospital from 2018 to 2019. Students who entered the vascular surgery rotation were randomly assigned to the experimental group (n=100) or the control group (n=102) according to the random number remainder grouping method. The experimental group was trained using a Kanban network service platform combined with traditional teaching methods and the control group was trained using traditional methods alone. At the end of the clinical training , clinical skills and theoretical vascular knowledge were assessed in the two groups. Additionally, in the semester final exams, the scores of the surgery examinations and the standardized scores of the vascular surgery section of the surgery examinations were collected and questionnaire surveys were conducted with both students and teachers.\nResults\nThe vascular surgery clinical skills assessment, theoretical knowledge scores, and finalized surgical examinations of the Kanban network service platform teaching group [(74.29±4.23), (87.13±4.01), (74.74±6.85)] were significantly higher than those of the traditional teaching group [(71.20±5.46), (83.93±3.83), (66.17±11.96), all P<0.01)]. The quantitative questionnaire scores showed that the scores regarding preparation of the curriculum, teaching outcomes, and satisfaction with the teaching method was higher for the experimental group [8(6.00, 9.75), (8.14±1.04), (9.15±0.73) P<0.05] than the control group [5(4.00, 7.75)], (7.57±1.97), (8.72±1.14)]. Likewise, teachers in the experimental program had higher scores on the same contents [5(4.00, 6.00)], (9.01±1.95), (8.97±1.65)] than the traditional teachers [3(2.00, 4.00)], (7.17±1.42), (7.63±1.16), all P<0.05].\nConclusions\nIn a randomized, control-group study, students and teachers enrolled in the Kanban network platform showed improved learning outcomes, strengthened communication between teachers and students, and improved efficiency of teaching management when compared with students and teachers in traditional classrooms.

Objective Vascular surgery is a highly practical discipline. Problem-Based Learning (PBL) is an innovative, student-centered approach to teaching where students seek out their learning goals in clinical problems. At present, WeChat as a communication platform is the most popular communication application in China, We want to explore a PBL teaching method that uses weChat platform to conduct clinical cases of common diseases in vascular surgery, so as to explore the feasibility and effectiveness of this method.\nParticipants and Methods There were 56 vascular surgery residents and 7 resident tutors .We divided all the residents involved in this study into 7 groups, and students can use the WeChat platform to learn theoretical knowledge of the disease and related videos. After each case study is completed, each team of residents must complete the appropriate tests. In addition, residents and resident tutors must complete the teaching effectiveness assessment in a timely manner after each class and at the end of the semester.\nResults PBL teaching was carried out using weChat platform, and a total of 5 common diseases in vascular surgery were displayed, and a total of 8 clinical cases were arranged. The average test scores for abdominal aortic aneurysm, aortic dissection, arteriosclerosis occlusion of the lower extremities, varicose veins of the lower extremities, and deep vein thrombosis of the lower extremities were 89.3%, 86.4%, 83.6%, 88.9%, and 87.5%, respectively. The evaluation of the teaching effect after the course showed that both the residents and the resident tutors were satisfied with the PBL teaching process using the WeChat platform. The results of the overall review showed that WeChat-PBL can have a positive impact on the learning process of vascular surgery residents and significantly increase their enthusiasm for learning.\nConclusion: The teaching method of WeChat-PBL is feasible and effective for residents of vascular surgery.

An innovative SOAP communication model with modified message exchange pattern is proposed for enhancing the security of Video on Demand system. This model insists the video requester or the video provider to give the request initially to an authentication service provider for a video file to be retrieved or to be uploaded. The response of the authentication service provider is an encrypted messageID based on the credentials of the client, which is enclosed in a SOAP envelope and this response is forwarded as SOAP request to the video service provider in order to access the appropriate service. Since the proposed model extends the original behaviour of message exchange pattern, an exclusive AXIS based Video on Demand system is implemented which ensures security.

Today, many complicated factors influence the environment and social circumstances so as traditional architecture forms cannot be applicable which architects and engineers need to invent methods to adapt systems and modern materials with advanced analysis methods for the main purpose of designing constructions with modern requirements. However, various studies are provided for observing the performance of different algorithms on urbanization and construction. Architecture designs are inspired of natural forms within advantages like sustainability, dynamism, growth and adaptation. According to large growth of population, essential need to shelter and a safe place to live and also descent trend of natural resources, in this paper it has been attempted to observe the position of algorithmic architecture and its effects on sustainable architecture in Iran. The method used in this paper is such a field method which SPSS software was used to analyze data.

Due to its great benefits over many database applications, skyline queries have received formidable concern in the last decades. Skyline queries attempt to assist users by identifying the set of data items which represents the best results that meet the conditions of a given query. Most of the existing skyline techniques concentrate on identifying skylines over a single relation. However, in distributed databases, the process of skyline queries required accessing multiple relations which might be located at different sites. Consequently, data items from these multiple relations need to be joined and thus transferring these data items from one site to another is unavoidable. Moreover, the previous techniques also assume that the values of dimensions for every data item are presented (complete) which is not always true as some values may be missing. In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. The approach derives skylines from multiple relations where dominated data items are removed before joining the relations to reduce the processing time and the network cost. The experimental results illustrate that our proposed approach outperforms the previous approaches in terms of processing time and network cost.