This article presents in an academic way, a study that allows us to observe the number of articles that have been created in artificial intelligence since 2015 and how their growth has been dizzying. As opposed to the number of articles in human sciences, which have remained stable. What is appreciated is that there are challenges for the social sciences teacher, which is not the same in engineering and other hard sciences. This is a product derived of the research Project of the Universidad Militar Nueva Granada Inv Hum 3184- Artificial intelligence and bioethics. Humanistic challenges and bio-legal implications of robotics (2015-2019) Bogotá, Colombia. Research group name “Leadership”.

Laser surface texturing is one of the recently developed key technologies for the generation of\ntextured surfaces on different kind of materials ranging from ceramics, composites, metals and\nalloys, etc for various functional applications. This process uses laser beam to scan over the\nrequired surface at different scan patterns and beam energy. Laser surface texturing shows a\nsignificant improvement in the tribological properties of the material as compared to other\nmethods of texturing. Low coefficient of friction, wear resistance, good adhesion strength are\nsome of the potential improvements with the help of laser surface texturing. The paper presents\nthe indepth study of laser surface texturing considering its various intended applications in the\nfields such as tribology, biomedical applications and materials coating. The effect of various\naspects of laser texturing on based on applications was studied and critically reviewed.

This study was conducted to verify the structure of competency framework for teachers (CFFT), 2004 and develop a customised version of it as well study the relations between attributes of the teachers and the achievement of the participants. The quasi experimental design - One group time series was used. Alike CFFT, the output of the experiment was a three stages model. The experiment enabled defining the CFFT as a strong basis to develop the customised framework for teachers. While the relationship between the attributes of the teacher in TLP was ascertained with the achievement of participants, it remains to check if these attributes of teachers or any of it could be a predictor of achievement of participants.

Abstract � Reliability and application failures occurring in Field Programmable Gate Arrays (FPGAs) are pressing issues in today�s specific application of FPGAs due to the high density of logic circuits on the chip subsequent to rapid process technology scaling. This work proposes a novel detection method called multiple point frequency detection to comprehensively predict the lifetime of the FPGA by taking into account the delay caused by HCI and NBTI degradation as well as the aging effect of FPGA. It also proposes a design method which is able to maintain and stabilize the accuracy by performing an automatic clock correction method that is compensated with the best clock signal to produce better performance. The delay that is triggered by an FPGA can be in multiple phase ranges from 0? to 360? phase. All possible ranges of delays, each corresponding to a particular amount of degradation cause by HCI and NBTI, have been investigated by implementing an exhaustive test in estimating the lifetime of a device. It is observed that when the delay increases by 50? for phase delay as stated in the developed lifetime prediction table, the lifetime will decrease by 13.89%.