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It is challenging to develop steroid analogs that are devoid of any undesired biological activity.
It is challenging to develop comprehensive, consistent, analyzable requirements models for evolving requirements.
Thus, it is challenging to develop biocompatiable non-positive charge carriers to achieve high gene transfection efficiencies.
Since there are hardly any variant features to characterize unpaved roads [7, 8], it is challenging to develop a valid algorithm with computer vision.
It is challenging to develop models of systems that include these foam-like materials and are able to predict the behaviour over a wide range of loading conditions.
Despite the fact that many ecological landscape indicators have been applied so far, it is challenging to develop an indicator(s) which is easy and cheap to assess while at the same time reflecting the complexity of an ecosystem.
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Finally, it was challenging to develop a DA that addressed the uncertainty of a screening test for men who had been undergoing regular screening and who were completely unaware of the uncertainty.
Since there is no centralized infrastructure device in MANET and no difficulty to overcome the inborn characteristics, it's challenged to develop an intrusion detection system (IDS).
However, since the targeted SCK is challenging to develop, it is also inappropriate to spend too little time on it.
So it could be challenging to develop drugs that can hurt tumors but not normal cells.
It has been challenging to develop a generalized algorithm to effectively trace both types of chemical plumes due to the significant differences of their kinetic and dynamic properties.
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