assessment

摘要： Creating practice questions for programming learning is not easy.It requires the instructor to diligently organize heterogeneous learning resources,that is,conceptual programming concepts and procedural programming rules.Today’s programming question generation(PQG)is still largely relying on the demanding creation task performed by the instructors without advanced technological support.In this work,we propose a semantic PQG model that aims to help the instructor generate new programming questions and expand the assessment items.The PQG model is designed to transform conceptual and procedural programming knowledge from textbooks into a semantic network by the Local Knowledge Graph(LKG)and Abstract Syntax Tree(AST).For any given question,the model queries the established network to find related code examples and generates a set of questions by the associated LKG/AST semantic structures.We conduct analysis to compare instructor-made questions from 9 undergraduate introductory programming courses and textbook questions.The results show that the instructormade questions had much simpler complexity than the textbook ones.The disparity of topic distribution intrigued us to further research the breadth and depth of question quality and also to investigate the complexity of the questions in relation to the student performances.Finally,we report a user study results on the proposed Artificial Intelligent-infused semantic PQG model in examining the machine-generated questions’quality.

摘要： It is common knowledge that Yarmouk River Basin(YRB)is shared between Jordan and Syria.Management of YRB trans-boundary water resources is attracting increasing interest because it is a strategic water resource for the riparian countries.Actually,lack of sharing information regarding hydrological flows and basin’s water management between partners’countries makes it difficult to distinguish between natural and man-made factors affecting the water body.Therefore,this study seeks to address and assess the main on-site changes that exert on YRB.Geospatial technique and arithmetic equations were combined to carry out an assessment of the changes on water resources in YRB.Data,information and field measurements of the basin were aggregated,compiled and presented to determine the extent of changes during the period 1980-2020.Remarkable findings showed that precipitation amount in the basin significantly declined during the period 1980-2020 in particularly after the year 1992.Pumping rate of groundwater was 550 x 103 m3/a,exceeding the basin’s safe yield.Draw down of static groundwater level over time approached the value of-3.2 m/a due to the over abstraction in the aquifer body.Additionally,the evaporation rate reached more than 99%in some regions in the basin.Moreover,the number of private wells has increased from 98 wells in 1980 to 126 wells in 2020,showing the excessive extraction of groundwater.These findings indicate that the study area is subjected to a considerable groundwater depletion in the near future due to extensive abstraction,continuous drilling of illegal wells and decreased annual precipitation under the shadow of the rapid population growth and continuous influx of refugees.Therefore,decision makers-informed scenarios are suggested in the development of water resource portfolios,which involves the combination of management and infrastructural actions that enhance the water productivity of the basin.Further studies are recommended to evaluate the on-site changes on water resources in YRB in collaboration with riparian countries and to establish monitoring system for continuous and accurate measurements of the basin.

摘要： Stargardt disease(also known as juvenile macular degeneration or Stargardt macular degeneration)is an inherited disorder of the retina,which can occur in the eyes of children and young adults.It is the most prevalent form of juvenile-onset macular dystrophy,causing progressive(and often severe)vision loss.Images with Stargardt disease are characterized by the appearance of flecks in early and intermediate stages,and the appearance of atrophy,due to cells wasting away and dying,in the advanced stage.The primary measure of late-stage Stargardt disease is the appearance of atrophy.Fundus autofluorescence is a widely available two-dimensional imaging technique,which can aid in the diagnosis of the disease.Spectral-domain optical coherence tomography,in contrast,provides three-dimensional visualization of the retinal microstructure,thereby allowing the status of the individual retinal layers.Stargardt disease may cause various levels of disruption to the photoreceptor segments as well as other outer retinal layers.In recent years,there has been an exponential growth in the number of applications utilizing artificial intelligence for help with processing such diseases,heavily fueled by the amazing successes in image recognition using deep learning.This review regarding artificial intelligence deep learning approaches for the Stargardt atrophy screening and segmentation on fundus autofluorescence images is first provided,followed by a review of the automated retinal layer segmentation with atrophic-appearing lesions and fleck features using artificial intelligence deep learning construct.The paper concludes with a perspective about using artificial intelligence to potentially find early risk factors or biomarkers that can aid in the prediction of Stargardt disease progression.

摘要： Great transformations in technology have affected the education sector in the recent years.The mode of teaching,learning and assessment have been transformed from brick and mortar enabling Several Universities to utilize the Learning Management System to reach out to distance learners.Whereas student centered distance learning requires that students collaborate on their learning tasks and obtain timely feedback;this is not the practice with lecturers at universities.Their practice of using LMS does not meet students’requirements in distance learning because it is not adquently authentic.While distance learners are on the LMS,they should be able to engage with content that stimulates authentic context,authentic activity,expert performance and multiple perspectives.However,the content we see on the LMS that these distance students engage with does not portray authentic context,authentic activity,expert performance and multiple perspectives.This research seeks to answer the following question:How is content designed on MUELE platform?An action research case study was adopted where six course units were observed online and eight participants interviewed,guided by Herrington and Oliver(2000)framework for authentic learning.Data was analyzed and findings revealed that most content was not designed in line with authentic principles especially in theoretical courses which contradicts the framework for authentic learning.In conclusion,authentic learning principles provide effective guidelines for implementing teaching and assessments online.Therefore,the study recommends that;the design of content in all courses should follow the authentic learning principles,such as authentic context,authentic activity,multiple perspectives and expert performances.Lastly,teacher motivation and training on how to assess students in an online environment needs to be encouraged.

摘要： With the steady increase of older people in society, a progressively greater number of patients belonging to the geriatric group need surgical treatment. Since elderly patients with reduced physiological reserve and organ failure often have chronic diseases, geriatric syndrome, and other clinical problems, the perioperative nursing of elderly patients is more complicated. Therefore, we need to comprehensively consider clinical issues, such as patients’ preoperative status, surgical risks, and postoperative quality of life and life expectancy, and conduct comprehensive evaluations and holistic, individualized, and continuous nursing and therapy through the participation of interdisciplinary teams to achieve better curative effects. Here, the perioperative nursing of elderly patients is reviewed, including preoperative evaluation and nursing, intraoperative management, and postoperative nursing.

摘要： This study assessed pollutants concentration at selected markets in Owerri. These markets were purposively selected after careful consideration of all major markets in the study area;the selected markets were considered to be more congested during the day as a result of open assess to road junctions coupled with a high density of vehicular movement, presence of offices, residential buildings, and human activities. Five air pollutants from vehicular emissions were monitored, namely: carbon monoxide (CO), carbon dioxide (CO2), nitrogen dioxide (NO2), particulate matter (PM 2.5) and particulate matter (PM 10). Assessments were carried out within 3 hours per dual diurnal section using approved standard methods which were converted to a 1-hour mean for the morning and afternoon period of sampling 7-10 am and 2-5 pm. These periods are known for the peak of human and vehicular movement within the study area. Results show that the highest level of CO concentration (0.293 - 0.387 ppm) was recorded at Alaba market and is less than the permissible limit of 35 ppm given by national ambient air quality standard (NAAQS). The highest range of CO2 (1153 - 1875 ppm) was recorded from Alaba market which is higher than the ambient standard of 314 ppm. The highest level of NO2 (0.116 - 0.297 ppm) was recorded from Relief market which is also higher than the permissible limit (0.100 ppm) of NAAQS. The highest range of particulate matter of PM 2.5 and PM 10 was recorded from Relief market (0.011 - 0.029 μg/m3) and (0.065 - 0.172 μg/m3) respectively and is far lower than the permissible limit (150 μg/m3) of NAAQS and WHO (base on target 1) standards. The study, therefore, concludes that there is a significant impact of emission from vehicles in the selected markets in Owerri metropolis as result indicates a high risk of health problems in the markets due to the high level of CO2 and NO2. It, therefore, recommends that an adequate mechanism should be put in place to decongest traffic density in the city especially near markets so as to have a substantial reduction in vehicular emissions and improve the livability of the citizens.

摘要： This paper studies the thermal performance of outdoor residential spaces in the old part—historical part—of Sana’a city in the winter period and its impact on the residents’ satisfaction who occupied the buildings which overlook these spaces and use them on a pedestrian comfort basis. The analysis was carried out through the results of field measurements which study the temperature, relative humidity, and the air movement inside the selected outdoor spaces in the period of winter (2 months) data recorded through the devices used and compared with those obtained from the General Authority of Meteorology and Aviation—Meteorology Sector. Despite the passage of years, the author remained occupied with the opinion of the people whose homes overlook those outdoors spaces and what is their opinion of their performance. Therefore, an assessment was conducted in November 2020 to know the opinion of the people about the performance of these outdoor spaces and to compare the results of the field measurements with the results of the assessment. The measurements were conducted by using data-loggers that spread in some outdoor spaces in 7 spaces in old city of Sana’a and in its modern extension during the winter period which is the time of concern of this work. The measurements showed that the outdoor residential spaces in the old city of Sana’a are represented an advantage for winter climate over that of the modern city, so the focus in this paper was on that outdoors with the question of the users of the outdoor spaces in the old city only to clarify their satisfaction with it and whether it has succeeded as well from their point of view. Results presented in this paper are important to consider the relationship between the climatical performance of outdoor spaces and the comfort of the residents in the urban environment and give implications for urban planners and architects to improve the climate-based design methodology towards sustainable developments.

摘要： With technological advancement and the COVID pandemic,online speaking assessment is increasingly used in language teaching.Two modes are developed:online synchronous testing(direct human-to-human interview)and online asynchronous testing(semi-direct human-to-machine interview).Ample literature has explored how each of the two online modes differs from traditional face-to-face speaking assessments.However,few studies have investigated the differences between the two modes,especially in terms of examinees’affective preferences.This study,therefore,compares the extent to which each mode is accepted and favored by test takers and explores why such an affective preference emerges.The participants are 46 college students enrolled in an Elementary Chinese course.They completed a survey that investigates their level of motivation,self-confidence,and anxiety in the two types of online speaking tests.An open-ended question item solicited further explanations from test-takers.Results showed a strong affective preference for synchronous assessment,as manifested by a higher level of motivation and self-confidence and a lower level of anxiety.Possible reasons are discussed based on students’written responses.The study is theoretically significant as it identifies factors on student experience and performance in online speaking assessments.It also provides practical guidance for language teachers in optimizing online oral tests.

摘要： Conformity assessment has an essential property of delivering trust and serving development,which is considered as the certificate of compliance in quality management and market economy and a passport for international trade.The conformity assessment work in China has been developing at a rapid pace since the reform and opening-up policy took effect in 1978,especially after the Certification and Accreditation Administration of China(CNCA)was established in 2001.In the past two decades,standardization has provided significant technical support for conformity assessment,and played a vital role in serving the national development of China and combating the crises caused by epidemics.

摘要： Environmental protection is one of the most important measures to achieve the long run and sustainability of living organisms in the world.The study was conducted in Burera and Gicumbi districts with the main aim of assessing the impact of environment protection in Rwanda.A case study of Rugezi Marchland.Data were collected using a structured questionnaire and analyzed using SPSS statistical software version 20 and STATA statistical software vision 13.Off-farm income,occupation,educational level,age,and farm size,showed a positive relationship with Rugezi marchland protection.Variables such as value of product distance to Rugezi marchland,gender,and family size had a negative influence on Rugezi marchland protection.The study also indicated that factors such as water management,increase of grass species,increase of wild animals and birds,modern house construction,zero grazing keeping revealing a positive relationship with Rugezi marchland protection.Two most serious problems encountered are the lack of occupation and low level of education.