Ciliated hepatic foregut cyst: report of first case in China and review of literature

Objective: To report the first case of ciliated hepatic foregut cyst in China, and review of literature to introduce the characteristics of this disease for doctors to recognize this disease. Method: Report the clinical procedure of diagnosis and treatment for the first case of ciliated hepatic foregut cyst in China, and to review the embryologic genesis, incidence, clinical manifestation, radiologic features and therapeutic principle of this disease. Results: We performed the resection for ciliated hepatic foregut cyst under laparoscopy; the patient recovered well after the procedure. Conclusion: Ciliated hepatic foregut cyst is quite rare clinically, belongs to non-parasitic, solitary and unilocular cystic lesion, is always less than 4 cm in diameter, mostly seen in the left lobe, and has the tendency of malignant change. It should be removed as soon as diagnosed.     

Alternative Physics Examination Questions: Identification and Explanation of Different Discriminating Powers

The issue of unfairness arises in high-stakes public examinations when students choose questions from alternatives that are offered and marks on the alternatives turn out to be discrepant. This paper addresses and defines unfairness and discrepancy in the context of alternative questions in Physics Tertiary Entrance Examinations (TEE) in Western Australia. As well, I present an analysis of question characteristics that explain observed marks-differences. The characteristics mainly relate to the construction of the text of questions, the detail on diagrams, and requirements for calculation. The list of characteristics could inform the setting of compulsory as well as alternative examination questions. The paper includes a brief exploration of results by gender on the alternative Physics TEE questions.     

Shape optimization of plate with static and dynamic constraints via virtual laminated element

The virtual laminated element method (VLEM) can resolve structural shape optimization problems with a new method. According to the characteristics of VLEM, only some characterized layer thickness values need be defined as design variables instead of boundary node coordinates or some other parameters determining the system boundary. One of the important features of this method is that it is not necessary to regenerate the FE (finite element) grid during the optimization process so as to avoid optimization failures resulting from some distortion grid elements. The thickness distribution in thin plate optimization problems in other studies before is of stepped shape. However, in this paper, a continuous thickness distribution can be obtained after optimization using VLEM, and is more reasonable. Furthermore, an approximate reanalysis method named “behavior model technique” can be used to reduce the amount of structural reanalysis. Some typical examples are offered to prove the effectiveness and practicality of the proposed method. Project (No. 50075083) supported by National Natural Science Foundation of China     

Using Quilts and Quilt Picture Books to Celebrate Diversity with Young Children

Quilts, with their bright colors, puzzle-like patterns and comforting touch, naturally appeal to children. Quilts may cover beds, blanket naps, or serve some other function in childrens homes, and the family context of quilts makes them appropriate for exploring diversity with young children in the classroom. A rich and extensive collection of quilt-centered picture books is available that explores cultural, intergenerational and social awareness themes through engaging text and captivating illustrations. Quilts and quilt-themed picture books are useful additions to an early childhood environment that explores, celebrates and integrates diversity in the daily life of the young child.     

An Investigation of Factors Affecting the Degree of Naïve Impetus Theory Application

This study investigates factors affecting the degree of novice physics students application of the naïve impetus theory. Six hundred and fourteen first-year university engineering physics students answered the Force Concept Inventory as a pre-test for their calculus-based course. We examined the degree to which students consistently applied the naïve impetus theory across different items. We used a 2-way repeated measures ANOVA and linear regression to analyze data coded from incorrect student responses. It was found that there were statistically significant main effects for item familiarity and item requirement for explanation vs. prediction on the measured degree of impetus theory application. Student course grades had no significant effect on impetus theory application. When faced with items that were unfamiliar and predictive, students appeared to rely on non-theoretical, knowledge-in-pieces reasoning. Reasoning characteristic of naïve theories was more frequently applied when students were completing familiar problem tasks that required explanation. When considering all the above factors simultaneously, we found that the degree of naïve impetus theory application by students is attributable to variables in the following order: familiarity, prediction, and explanation.     

Time-place learning in the eight-arm radial maze

Rats (n=4) searched for food on an eight-arm radial maze. Daily 56-min sessions were divided into eight 7-min time zones, during each of which a different location provided food; locations were randomized across subjects before training. The rats obtained multiple pellets within each time zone by leaving and returning to the correct location. Evidence that the rats had knowledge about the temporal and spatial features of the task includes the following. The rats anticipated locations before they became active and anticipated the end of the currently active locations. The rats discriminated currently active locations from earlier and forthcoming active locations in the absence of food transition cues. After the rats had left the previously active location, they visited the next correct location more often than would be expected by chance in the absence of food transition cues. The rats used handling or opening doors as a cue to visit the first location and timed successive 7-min intervals to get to subsequent locations.     

The Influence of the Teaching and Learning Environment on the Development of Generic Capabilities Needed for a Knowledge-Based Society

The effect of the teaching and learning environment on the development of generic capabilities was examined through a survey of 1756 undergraduate students at a university in Hong Kong. The survey assessed students' perceptions of the development of the six capabilities of critical thinking, self-managed learning, adaptability, problem solving, communication skills, and interpersonal skills and groupwork. Students were also asked to rate the quality of nine facets of the teaching and learning environment. Structural equation modelling was used to test a model of the influence of teaching on the nurturing of the six capabilities. The model grouped the nine facets of teaching and learning under the three higher-order latent variables of teaching, teacher–student relationship, and student–student relationship. The model showed a good fit to the data, indicating that the teaching and learning environment had a significant impact on the development of the generic capabilities while the students were taking their degree. The teaching latent variable had the strongest effect on the development of all six of the capabilities. A suitable teaching environment was characterised by a focus on understanding, the active participation of students in learning activities, a coherent curriculum, and assessment which focused on analytical skills and self-learning capability. Strong student–student relationships nurtured communication and interpersonal skills. There was a mutually reinforcing effect between the type of teaching, teacher–student relationships and student–student relationships.     

Automated soil resources mapping based on decision tree and Bayesian predictive modeling

This article presents two approaches for automated building of knowledge bases of soil resources mapping.These methods used decision tree and Bayesian predictive modeling,respectively to generate knowledge from training data.With these methods,building a knowledge base for automated soil mapping is easier than using the conventional knowledge acquisition approach.The knowledge bases built by these two methods were used by the knowledge classifier for soil type classification of the Longyou area,Zhejiang Province,China using TM bi-temporal imageries and GIS data.To evaluate the performance of the resultant knowledge bases,the classification results were compared to existing soil map based on field survey.The accuracy assessment and analysis of the resultant soil maps suggested that the knowledge bases built by these two methods were of good quality for mapping distribution model of soil classes over the study area.