[Latin Name] Coffea arabica L.

[Plant Source] from China

[Specifications] chlorogenic acid 10%-70%

[Appearance] Yellow brown fine powder

Plant Part Used:Bean

[Particle size] 80 Mesh

[Loss on drying] ≤5.0%

[Heavy Metal] ≤10PPM

[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.

[Net weight] 25kgs/drum

[Brief Introduction]

Green Coffee Bean Extract is sourced from Europe and is standardized to more than 99% Chlorogenic Acid. Chlorogenic Acid is the compound present in coffee. Which has been long known as for its beneficial properties. This active ingredient akes Green Coffee Bean an excellent agent to absorb free oxygen radicals; as well as helping to avert hydroxyl radicals, both which contribute to degradation of cells in the body.Green Coffee Beans have strong polyphenols which act to help reduce free oxygen radicals in the body, but it is standardized to more than 99% Cholorgenic Acid, a dietary polyphenol that helps to regulate metabolism.Test results showed Green Coffee Bean had more than double the rate of oxygen radical absorbance capability when compared to green tea and grape seed extracts

[Main Functions]

1.Chlorogenic acid, long known as an antioxidant with potential anti-cancer activity, also slows the release of glucose into bloodstream after a meal.

2.lower one’sblood sugar level, suppress the appetite, lower blood pressure, and reduce levels of visceral fat.

3.Useful in fighting the free radicals in our bodies that can damage our cells and contribute to conditions such as cardiovascular disease. Test results

showed Green Coffee Bean had more than double the rate of oxygen radical absorbance capability when compared to green tea and grape seed extracts.

4.Act as an effective painkiller especially for migraine medications;

5.Reduce the risk of diabetes.

Nutribullet製做南瓜子醬。
杏仁果(已烘焙)400g+椰子油35g，南瓜子不易出油，添加的輔助油脂比杏仁果還多

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.