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Let me explain: a few months ago I was helping a colleague assess the ergonomics of her work station; she had recently moved to a new department, and was suffering from neck stiffness and pain.
After a taking a few measurements, I was able to verify that her desk and chair were set too high for her stature.
In the real world ergonomists and human factors professionals work with hundreds of different human measurements compiled into tables of Anthropometric data that help shape our understanding of human physical variation and ultimately form the basis for decisions that affect every area of human experience and endeavor. We manufacture mounting solutions for flat computer equipment, so we need to know how high a screen should be placed in relation to the keyboard, to ensure the safety, comfort and productivity of the computer user.
A measurement which depends on the distance between the user’s eye and elbow. By referring to an Anthropometric table, where data has been organized by gender, size and age, our designers know exactly what portion of the population to target.
Synthetic biology, with engineering principles at its core, provides an excellent framework for the development of efficient heterologous systems for the expression of biosynthetic gene clusters.
Carrie Schmitz, Ergonomics Advocate and Engineering Publications Manager @ Ergotron If ergonomists were looking for a mascot, my vote would go to Goldilocks−yes, I mean the blonde chick with a poor sense of boundaries.
I’ve been working in the field of ergonomics for more than 10 years, and lately, I’ve begun to feel a certain kinship with the story-book character from my childhood days.
However, a common problem in its application is the host-interference problem, i.e., the unpredictable interactions between the device and the host that can hamper the desired output.
Although an effort has been made to develop orthogonal devices, the most proficient way to overcome the host-interference problem is through genome simplification. Discovery of gene cluster for mycosporine-like amino acid biosynthesis from Actinomycetales microorganisms and production of a novel mycosporine-like amino acid by heterologous expression.