An Investigation Into the Academic Performance of the Students Within the Compulsory Education Phase in Changdu, Tibet

Through an investigation into the academic performance of the students within the compulsory education phase in Changdu, Tibet, it is found that their overall academic performance is poor, which is primarily attributable to three causes, namely the teaching material too distant from their life experience, the teaching language and the school management mode. To eliminate the aforementioned barriers, several strategies are worth adopting, namely the exploitation of the local teaching resource, the implementation of a humanistic management mode and the cultivation of teachers of the Tibetan ethnic origin.

Partitioning Clustering Based on Support Vector Ranking

Postprin

A Survey on the Educational Benefits of Compulsory Education in B Land of Tibet

The outcome of education includes students’ academic achievement and social adaptability. In order to explore the current situation and factors of outcome of education in the compulsory education stage of Tibetan agricultural and pastoral areas, junior high school students from 5 counties of B agricultural and pastoral areas are selected as survey objects. A research method combining questionnaires and interviews was conducted to investigate. The study found that: the local curriculum resources are estranged from the students’ life experience, the difficulty of understanding the teaching language and the rigid management mode are the reasons for the low outcome of education in the agricultural and pastoral areas

Double-sided incremental forming: a review

Incremental sheet forming (ISF) or single point incremental forming (SPIF) processes have been developed rapidly in the past three decades. Its high flexibility and easy operability have a significant appeal for industrial applications and substantial progress has been made in fundamental understanding and demonstration of practical implementation. However, there are a number of obstacles including achievable accuracy and instability in material deformation which are considered as a main contributing factor for preventing the ISF process to be widely used in industry. As a variant of the general ISF process, Double-Sided Incremental Forming (DSIF) uses an additional supporting tool in the opposite side of the workpiece, maintains the flexibility and at the same time improves the material deformation stability and reduces material thinning. In recent years, there has been increased research interest in looking into DSIF specific material deformation mechanisms and DISF investigation. This paper aims to provide a technical review of the DSIF process as benchmarked with SPIF. It starts with a brief overview of the current state of the art of both SPIF and DSIF. This is followed by a comparative study between SPIF and DSIF with the key research challenges identified. This leads to a recommendation of key research challenges for DSIF focused research

Density-based rough set model for hesitant node clustering in overlapping community detection

Overlapping community detection in a network is a challenging issue which attracts lots of attention in recent years. A notion of hesitant node (HN) is proposed. An HN contacts with multiple communities while the communications are not strong or even accidental, thus the HN holds an implicit community structure. However, HNs are not rare in the real world network. It is important to identify them because they can be efficient hubs which form the overlapping portions of communities or simple attached nodes to some communities. Current approaches have difficulties in identifying and clustering HNs. A density-based rough set model (DBRSM) is proposed by combining the virtue of density-based algorithms and rough set models. It incorporates the macro perspective of the community structure of the whole network and the micro perspective of the local information held by HNs, which would facilitate the further 'growth' of HNs in community. We offer a theoretical support for this model from the point of strength of the trust path. The experiments on the real-world and synthetic datasets show the practical significance of analyzing and clustering the HNs based on DBRSM. Besides, the clustering based on DBRSM promotes the modularity optimization