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OIL AND TERRORISM HAVE AGAIN FOCUSED ATTENTION ON A REGION THAT ONCE OCCUPIED THE CENTRE OF WORLD HISTORY

Up to the modern era censorship remained less of a threat to the survival of books, than accidental loss and destruction in fires, rebellions and wars

The lessons of a long history of dissent are not lost on today's workers, peasants and intellectuals

The rise of Sogdian merchants and the role of the Huns : the historical importance of the ancient Sogdian letters / Etienne de la Vaissière -- How much for a camel? : a new understanding of money on the Silk Road before A.D. 800 / Helen Wang -- Iranians, Indians, Chinese and Tibetans : the rulers and ruled of Khotan in the first millennium / Prods Oktor Skjærvø -- Jade and the Silk Road : trade and tribute in the first millennium / Carol Michaelson -- The Tibetan military system and its activities from Khotan to Lop-Nor / Tsuguhito Takeuchi -- Official life at Dunhuang in the tenth century : the case of Cao Yuanzhong / Rong Xinjiang -- Where chan and tantra meet : Tibetan syncretism in Dunhuang / Sam van Schaik and Jacob Dalton -- Dunhuang characters and the dating of manuscripts / by Imre Galambos -- Star charts on the Silk Road : astronomical star maps in ancient China / by Jean-Marc Bonnet-Bidaud and Françoise Praderie -- Aurel Stein, the British Museum and the India Office / by Frances Wood -- A short history of the conservation of the Dunhuang manuscripts in London / by Mark Barnard and Frances Wood -- The catalogue -- Sogdiana : trade, travel and faith -- Khotan -- Kroraina : a desert kingdom -- Miran : war and faith -- Dunhuang : watchtowers and cave temples -- Gaochong : nomads and farmers

We assessed working memory load during computer use with neural network pattern recognition applied to EEG spectral features. Eight participants performed high-, moderate-, and low-load working memory tasks. Frontal theta EEG activity increased and alpha activity decreased with increasing load. These changes probably reflect task difficulty-related increases in mental effort and the proportion of cortical resources allocated to task performance. In network analyses, test data segments from high and low load levels were discriminated with better than 95% accuracy. More than 80% of test data segments associated with a moderate load could be discriminated from high- or low-load data segments. Statistically significant classification was also achieved when applying networks trained with data from one day to data from another day, when applying networks trained with data from one task to data from another task, and when applying networks trained with data from a group of participants to data from new participants. These results support the feasibility of using EEG-based methods for monitoring cognitive load during human-computer interaction.