[Latin Name]Huperzia serratum

[Source] Huperziceae whole herb from China

[Appearance]Brown to white

[Ingredient]Huperzine A

[Specification]Huperzine A 1% – 5%, HPLC

[Solubility] Soluble in chloroform, methanol, ethanol, slightly soluble in water

[Particle size] 80 Mesh

[Loss on drying] ≤5.0%

[Heavy Metal] ≤10PPM

[Pesticide residue] EC396-2005, USP 34, EP 8.0, FDA

[Storage] Store in cool & dry area, keep away from the direct light and heat.

[Shelf life] 24 Months

[Package] Packed in paper-drums and two plastic-bags inside.

[What is Huperzine A]

Huperzia is a type of moss that grows in China. It is related to club mosses (the Lycopodiaceae family) and is known to some botanists as Lycopodium serratum . The whole prepared moss was used traditionally. Modern herbal preparations use only the isolated alkaloid known as huperzine A. Huperzine A is an alkaloid found in huperzia that has been reported to prevent the breakdown of acetylcholine, an important substance needed by the nervous system to transmit information from cell to cell. Animal research has suggested that huperzine A’s ability to preserve acetylcholine may be greater than that of some prescription drugs. Loss of acetylcholine function is a primary feature of several disorders of brain function, including Alzheimer’s disease . Huperzine A may also have a protective effect on brain tissue, further increasing its theoretical potential for helping reduce symptoms of some brain disorders.

[Function] Used in alternative medicine, huperzine A has been found to act as a cholinesterase inhibitor, a type of medicine used to prevent the breakdown of acetylcholine (a chemical essential to learning and memory).

Not only used as a treatment for Alzheimer’s disease, huperzine A is also said to enhance learning and memory and to protect against age-related cognitive decline.

In addition, huperzine A is sometimes used to boost energy, increase alertness, and aid in the treatment of myasthenia gravis (an autoimmune disorder that affects the muscles).

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How Lovebirds Maneuver Rapidly Using Super-Fast Head Saccades and Image Feature Stabilization. Daniel Kress et al (2015), PLoS ONE https://dx.doi.org/10.1371/journal.pone.0129287

Diurnal flying animals such as birds depend primarily on vision to coordinate their flight path during goal-directed flight tasks. To extract the spatial structure of the surrounding environment, birds are thought to use retinal image motion (optical flow) that is primarily induced by motion of their head. It is unclear what gaze behaviors birds perform to support visuomotor control during rapid maneuvering flight in which they continuously switch between flight modes. To analyze this, we measured the gaze behavior of rapidly turning lovebirds in a goal-directed task: take-off and fly away from a perch, turn on a dime, and fly back and land on the same perch. High-speed flight recordings revealed that rapidly turning lovebirds perform a remarkable stereotypical gaze behavior with peak saccadic head turns up to 2700 degrees per second, as fast as insects, enabled by fast neck muscles. In between saccades, gaze orientation is held constant. By comparing saccade and wingbeat phase, we find that these super-fast saccades are coordinated with the downstroke when the lateral visual field is occluded by the wings. Lovebirds thus maximize visual perception by overlying behaviors that impair vision, which helps coordinate maneuvers. Before the turn, lovebirds keep a high contrast edge in their visual midline. Similarly, before landing, the lovebirds stabilize the center of the perch in their visual midline. The perch on which the birds land swings, like a branch in the wind, and we find that retinal size of the perch is the most parsimonious visual cue to initiate landing. Our observations show that rapidly maneuvering birds use precisely timed stereotypic gaze behaviors consisting of rapid head turns and frontal feature stabilization, which facilitates optical flow based flight control. Similar gaze behaviors have been reported for visually navigating humans. This finding can inspire more effective vision-based autopilots for drones.