The objective was to assess the social integration of juvenile amputees according to marital status, schooling and occupation, and to compare it with the population of Asturias, Spain. A retrospective study was carried out of the juvenile amputees registered from 1976 to 1999 at the Prosthetics Unit of the Asturias Central Hospital (n = 281 amputees). The proportion of single women amongst the amputees was greater than in the population of Asturias (p < 0.05). Amongst the male amputees, relative to the general population, there was a larger proportion of the group with primary studies (p < 0.001) and a smaller proportion with secondary studies (p < 0.001). At the higher level (university) there were no differences, either in men or in women. As regards occupation, amongst the amputees a larger number was found who were retired or unemployed (p < 0.05 and p < 0.001). In conclusion, juvenile amputees do not show differences compared to the general population with regard to their attendance at a higher or university level of education. However, if their social integration is considered through occupation, male amputees show a greater proportion of unemployment, which is a clear reflection of their handicap.

&lt;p&gt;&amp;#160; &amp;#160; &amp;#160;Taiwan has a high population density, and is located in the Circum-Pacific Belt, there are countless seismic hazard events.The Earthquake Early Warning (EEW) and Rapid Report Systems have become one of the most important disaster prevention systems to effectively reduce and prevent disasters caused by destructive earthquakes. Currently, according to the Central Weather Bureau&#039;s website, the EEW and repaid reports are produced and distributed 5 to 10 minutes after an earthquake, including the time of the earthquake, the location of the epicenter, the size and depth of the earthquake, and the fast estimated magnitude of the earthquake.&lt;br /&gt;&amp;#160; &amp;#160; &amp;#160;In recent years, deep learning has developed rapidly, especially in the field of image recognition, including image classification, object detection, image generation, etc. This project is expected to use the Taiwan Strong Motion Instrument Program (TSMIP) station data provided by the Central Weather Bureau to generate the ShakeMap. We will use the multi-label classification method to mark the ShakeMap, and use the Recurrent Neural Network (RNN) to embed labels in the image, capture the dependency of labels and combine with a Convolution Neural Network (CNN) to predict the different labels in the shakeMap, which is expected to achieve the purpose of fast prediction of earthquake intensity in different places in the whole Taiwan island.&amp;#160;&lt;/p&gt;

&lt;p&gt;The rapid sedimentation of the seafloor in southwestern Taiwan in early period created the sediments which are not fully compacted and cemented. With the developing geological process, a well-developed mud diapir was formed. Linear structures such as faults or fissures were exposed on the earth&amp;#8217;s surface to form mud volcanoes of different scales. Our study area is located at the Gunshuiping mud volcano in Yanchao District and Qiaotou District, Kaohsiung City. It is adjacent to the Qishan Fault and spans the Chegualin Fault, which is the extension of the Longchuan Fault. According to the geological map published by Central Geological Survey, MOEA, the stratum from top to down in this area can be divided into recent alluvial formation, terrace deposits formation, Qiding formation, Gutingkeng formation, etc. The mud eruption of the Gunshuiping mud volcano was chemically analyzed and the result showed that it is the product of the Gutingkeng formation. This project will use the Electrical Resistivity Tomography (ERT) to construct a complete subsurface stratum distribution map and the structure of the mud volcano, and combine the micro-tremor site exploration technology to analyze the underground structure of mud volcano. The ERT method can observe the mud reservoir content and mud channel structure under the surface and analyze the trend of mud flow, while the micro-tremor site exploration technology can observe the underground velocity structure caused by mud volcanic activity, and explore its mud accumulation thickness, fissure distribution and potential Eruption range. Therefore, the two methods can be seen as complementary and mutually corroborate each other&#039;s information. In the future, this method can be used to make plan and take precaution in advance for the activity level and the influence area of Gunshuiping mud volcanoes or other geologically sensitive area.&lt;/p&gt;