The phrase "activities evolve" is correct and usable in written English.
It can be used to describe how activities change or develop over time, often in response to new information or circumstances.
Example: "As technology advances, the way we engage in recreational activities evolve to incorporate new tools and platforms."
Alternatives: "activities change" or "activities develop".
The set of companies subject to the market shock component could change over time as the size, scope, and complexity of financial company's trading activities evolve.
Public relations is about storytelling, and as people and activities evolve, so will the stories.
All business activities evolve from the once rare, poorly understood sources of differential advantage (genesis) to more commonplace, well-defined commodities that are simply a cost of doing business.
This study reports the current patterns of clinical research activities including the framework structure and the contexts in which activities evolve in a sub-Saharan African center from the perspective of its key scientists and workers.
The assessment at one point in time should be repeated over time to measure how the continuation of activities evolve and how the perception by health professionals in relation to attributes of innovations changes with the changing policy and finance environment.
Don't worry if your activities evolve over time – your teacher can always update the information.
As these activities evolved, they coalesced into the computer science field called networking and communications.
Support for all these activities evolved into the field of computer science known as graphics and visual computing.
A review of current activities evolving from NEME is presented, and further research and development is encouraged to create and implement NEME systems.
This Article discusses the conflicting interactions among the three models that are competing for primacy as the tort law governing expressive activities evolves to accommodate the requirements of the First Amendment.
This paper presents results that demonstrate our approach enables accurate, real-time target detection, tracking, and recognition of known and unknown moving or stationary targets or events and their activities evolving over space and time.
