继续教育理念的新探索

继续教育是以学习某一职业技能、不断提高从业技术水平、培养现代型、技能型、工艺型、应用型、实用型高级人才为目的的社会实践活动;继续教育的内容是新知识、新技术、新理论、新方法、新信息、新技能;学习的目的是为了更新补充知识,扩大视野、改善知识结构、提高创新能力,以适应科技发展、社会进步和本职工作的需要.

Comparative Study between Waffle and Solid Slab Systems in Terms of Economy and Seismic Performance of a Typical 14-Story RC Building

In order to maximize the return of investments and at the same time improve the quality in the construction industry of midrise buildings, it is very important to derive an optimal solution to the building structural system, which would facilitate faster and easier construction activities with minimal quantity of construction material, while maintaining the satisfactory level of building safety and performance. This paper makes a comparative study between a ＂solid＂ and a ＂waffle＂ slab system. A typical 14-story RC building structure is selected as an example for this study purpose. The first part of this study is focused in deriving an optimal solution for a solid and waffle slab system which are later on considered as constituents of all stories of the 14-story building. In the second part, it is elaborated the effect of both slab systems over the 14-story building model. This study aims to emphasize the advantages of mid-rise buildings constituted of waffle slab system over the buildings characterized with solid types of slabs, in terms of economy, structural safety and performance.

DP-BPR:Destination prediction based on Bayesian personalized ranking

Destination prediction has attracted widespread attention because it can help vehicle-aid systems recommend related services in advance to improve user driving experience.However,the relevant research is mainly based on driving trajectory of vehicles to predict the destinations,which is challenging to achieve the early destination prediction.To this end,we propose a model of early destination prediction,DP-BPR,to predict the destinations by users’travel time and locations.There are three challenges to accomplish the model:1)the extremely sparse historical data make it challenge to predict destinations directly from raw historical data;2)the destinations are related to not only departure points but also departure time so that both of them should be taken into consideration in prediction;3)how to learn destination preferences from historical data.To deal with these challenges,we map sparse high-dimensional data to a dense low-dimensional space through embedding learning using deep neural networks.We learn the embeddings not only for users but also for locations and time under the supervision of historical data,and then use Bayesian personalized ranking(BPR)to learn to rank destinations.Experimental results on the Zebra dataset show the effectiveness of DP-BPR.

Energy intensity and its determinants in China:an empirical study based on ARDL-VECM approach

The present study aims to better understand the relationship between energy intensity and its determinants including energy price, technological progress, economic structure, and energy mix using the autoregressive distributed lag(ARDL) bounds approach and vector error correction model technique. Based on China's time series over 1985-2014, the ARDL bounds approach yields empirical evidence that confirms the existence of long run relationship between energy price, technological progress, economic structure, energy mix, and energy intensity. The results show that technological progress is an important driver for the declining energy intensity in short and long run. Energy price has not been demonstrated as an important role in decreasing energy intensity in the short run. The high share of coal use in total energy use may be responsible for China's high energy intensity.However, the relative change in economic sectors plays a minor role in energy intensity reduction during the past years. In the long run, technological progress, energy mix and energy prices Granger cause energy intensity, but not vice versa except for the energy mix.

Mobile Learning： Taking Education to a New Level

Technological advances are taking a major role in every field of our life. Today, younger generation is more attached to technology, immerging it mostly for social purposes. Therefore, the importance of its existence cannot be ignored. For that, it is the time for every mentor to apply technology to education. Instructors from different majors need to realize that integrating technology into education is a powerful tool that helps them moderate their course, but never a replacement to their existence. This paper＇s interest is to deliver a personal experience to other instructors on how to correctly use technology for educational purposes. One way of clarifying this point is to shed light on a very common social application that is WhatsApp. It is a social application available on every smartphone that is usually used as a social medium among users from different generation. This paper used WhatsApp as an application that can associate technology with leaming and teachers＇ moderation and collaboration under one roof, and that is by applying Mobile learning. One main question to rise at this point is whether students are going to be collaborative or not with their teacher in applying technology into education. There will be an anticipated approach from this paper on both Mobile learning and WhatsApp, that is to reach an agreement that Mobile learning is essential and adds value to the educational material we have in hand. Great examples from my own data are going to be presented to encourage others to predict new ways that can be added to my effort and others as well. The result hoped for after this paper is to be able to answer any digital immigrants＇ questions and help them to be more confident with technology.

Teaching Translation From the Perspective of Skopos Theory

Translation for language teaching is different from general translation which is characterized with Faithfulness, Expressiveness, and Elegance. The differences lie in vocabulary, structure, and discourse. The extreme emphasis of translation skills will make it hard to learn certain language elements for the English learners. The paper makes an analysis on the three levels of translation for language teaching from the perspective of Skopos Theory, aiming at drawing attention from the translation teachers to care more about students＇ demands of learning language elements through translation.

Innovation, Competitiveness and Prosperity： A Factor Analysis of Innovation Indicators in Spain

Competitiveness is a wide concept applied to many fields, especially in economics. The study of tourism competitiveness has been focused on different factors that can enhance the prosperity of a destination. One of these factors is innovation. Innovation makes destination＇s enterprises more advanced and efficient, therefore more productive. Innovation is an enhancer of competitiveness and a generator of prosperity because innovation in every aspect （technology, knowledge, organization, and processes） will provide a better quality of life for the inhabitants of the destination. The incidence of innovation on these concepts is validated by a structural equation model. We measure innovation by a range of indicators and through a factor analysis; we get the most relevant indicators of innovation for the model developed in Spain.

COMPREHENSION OF L2 IDIOMS BY CHINESE EFL LEARNERS——EFFECTS OF IDIOM TYPE AND PROFICIENCY LEVEL

The study investigates: (1) how different idiom types, classified on the basis of a cross-linguistic comparison of Chinese and English idioms in terms of conceptual basis, affect English idiom comprehension as revealed from both the general performance and the on-line processing strategies adopted by Chinese EFL learners at different proficiency levels, and (2) to what extent can the observed learner behavior be accounted for within the theoretical framework of idiom comprehension. The study has provided empirical evidence for the configuration hypothesis of idiom comprehension.

Fracture analysis of cortical bone under the condition of cement line debonding and osteon pullout

Cortical bone consists of osteons embedded in interstitial bone tissue and there is a thin amorphous interface, named cement line, between osteon and interstitial bone. Due to fatigue and cyclic loading, the pullout or debonding phenomenon often occurs in osteonal and interstitial tissue bone. The study aims to construct a fiber-reinforced composite material debonding model for cortical bone, in which the bonding condition along the osteon, cement line and interstitial tissue bone are assumed to be imperfect. In the study, we used the complex variable method to obtain series representations for stress fields in the osteon, cement line and the interstitial tissue bone with a radial crack. The effects of material properties of osteon and cement line, crack position, and varying degrees of debonding on the fracture behavior were investigated by computing the stress intensity factor （SIF） in the vicinity of the microcrack tips. The investigation results indicated that the cement line was important for controlling the fracture toughening mechanisms and that the level of imperfect bonding among osteon, cement line and interstitial tissue bone had a pronounced effect on the crack behavior and should not be ignored.

An innovative method to evaluate the severe level of general Qi deficiency

OBJECTIVE:The study aim was to use existing relevant indexes to establish an index series for the quantitative measurement of Qi deficiency pattern(QDP) in Traditional Chinese Medicine(TCM).METHODS:Seventeen indexes of arterial oxygen saturation(SaO_2),TCM pulse diagnosis,heart rate,and blood pressure were integrated into an index series,and 94 selected subjects were divided into a healthy control group,a mild QDP group,and a typical QDP group.All three groups were then synchronously given a breath-holding(BH) test and index detections using TCM apparatus for auxiliary diagnosis and treatment and a photoplethysmograph.The detections were carried out repeatedly until there was no monotonic change in the value of the minimal SaO_(2d)uring a BH measurement(SaO_(2 min)) or in the duration of BH during a BH measurement(TBH).RESULTS:BH measurement and index detection data from 380 eligible cases were analyzed and a significant intergroup difference was found for 12 indexes.CONCLUSION:An index series for quantitative QDP measurement could comprise the 12 effective indexes:RSaO_(2d)(rate of decline of SaO_(2d)uring a BH measurement),RSaO_(2r)(recovery rate of SaO_2 after a BH measurement),SaO_(2 min),BFV(blood flow velocity),TSaO_(2d)(the time at which SaO_2 started declining during a BH measurement),TBH,TSa_(O2 min)(the time of occurrence of the minimal SaO_(2d)uring a BH measurement),TSa O_(2 max)(the time of occurrence of the maximal SaO_2 after a BH measurement),PTP(pulse-touching pressure),SBP(systolic blood pressure),PWV(pulse wave velocity),and DBP(diastolic blood pressure).Of the indexes,RSaO_(2d)could play akey role in quantitative QDP measurement;RSaO_(2r) and Sa O_2 mincould be used to differentiate the QDP symptom of shortness of breath and as early-warning indexes for chronic obstructive pulmonary disease.BFV,TSaO_(2d),and TBHcould be used to quantitatively assess the QDP symptoms of spontaneous perspiration and shortness of breath.