Structural and metamorphic architecture of the Zanskar Himalaya, Suru Valley region, NW India: Implications for the evolution of the Himalayan metamorphic core by Cawood, IP, St-Onge, MR, Weller, OM, Searle, MP, Waters, DJ, Ahmad, T

“…D3 fabrics wrap thermal peak porphyroblasts and realign linear mineral phases. Tectonic thinning adjacent to D3 normal faults is documented by reduced structural spacing of isograds and alignment of isograd surfaces parallel to the faults. …”

Investigating the inner controls on explosive eruptions using textural analyses and petrology by Bernard, Olivier

“…Second I use apatite to finely study the volatile budgets and degassing rates of the magma batches that fed the sub-plinian, effusive and vulcanian phases of the 2006 Rabaul eruption. …”
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Studies on high-frequency noise characteristics in deep submicron NMOSFETs by Zeng, Rong

“…The reduction of minimum noise figure with the increase in body bias may provide a possible methodology to finely adjust the device high-frequency noise performance for circuit design.…”
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Heat transfer of 3-D printed enhanced tube and fin condenser surfaces by Choke, Chong Wai

“…Pressure drop must be finely tuned with j factor increase to find the best performing condenser which is 4.2 mm louvre fin condenser.…”
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Les sanctions coutumières comme gage de la paix et de la sécurité chez les traditionnalistes moundang du Nord-Cameroun by Dekane, E

“…These included quarantine, ostracism, imprisonment or capital punishment for crimes, and amendments fines, compensation or restitution with interest for misdemeanors. …”

Smart material based on magnetorheological elastomer and its 3D printing by Bastola, Anil K.

“…The 3D printability of different materials has been studied by measuring their rheological properties and it was found that the highly shear thinning, and thixotropic properties are important for 3D printability. …”
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Graph representation learning by Zhang, Xinyi

“…Besides different techniques used in graph representation learning, according to the fineness of the objects for embedding, the graph representation learning methods can be mainly divided into node-level, edge-level, and graph-level representation learning methods. …”
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Tsewang Norbu NGB by Cantwell, C, Mayer, R

“…Of all the surviving editions, the Rig 'dzin Tshe dbang nor bu edition is the most lavishly produced, manufactured from good materials, finely decorated, and illustrated with many high quality hand-painted miniatures. …”