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As a Traditional Chinese Medicine, Eucommia ulmoides Oliv. has been used for the treatment of various diseases since ancient times, involving lumbar pain, knee pain, osteoporosis, hepatoprotection, paralysis, intestinal haemorrhoids, vaginal bleeding, abortion, spermatorrhoea, foot fungus, anti-aging etc. With the developing discovery of E. ulmoides extracts and its active components in various pharmacological activities, E. ulmoides has gained more and more attention. Up to now, E. ulmoides has been revealed to show remarkable therapeutic effects on hypertension, hyperglycemia, diabetes, obesity, osteoporosis, Parkinson’s disease, Alzheimer’s disease, sexual dysfunction. E. ulmoides has also been reported to possess antioxidant, anti-inflammatory, neuroprotective, anti-fatigue, anti-aging, anti-cancer and immunoregulation activities etc. Along these lines, this review summarizes the traditional application and modern pharmacological research of E. ulmoides, providing novel insights of E. ulmoides in the treatment of various diseases.

Relay attacks is a serious and practical threat to contactless systems that is becoming more attractive with the increased use and transaction value of contactless payments. Distance-bounding is a countermeasure widely studied in academic research but it has not transferred to commercial systems. Conventional communication channels cannot achieve the theoretical properties often required for the protocol to be secure and special channels might not be feasible to adopt. Our objective is to design ‘best-effort’ distance-bounding channels suitable for real RFID systems. In this paper we discuss standard channel implementation using off-the-shelf emulators and readers, and discuss potential modifications to channels implementable on current devices that would results in more relay-resistant channel designs. We are present reference relay attacks for ISO 14443A and Felica type systems using our implemented devices.

Three dimensional image systems offer significant benefits over conventional two dimensional systems. Integral imaging is a promising technique for delivering high-quality three-dimensional content. However, a large amount of data produces during acquisition prohibits direct transmission of Integral Image data. In this work we propose volume pixel matching encoder and a neural network color restoration for Integral Image compression. The proposed encoder is based on pixel matching to reconstruct discarded elemental images and use the method of neural network to recovery the color. Comparing with JPEG compression method, the algorithm is more effective as show in PSNR.