Life satisfaction and objectively rated quality of life are not closely related and appear to have different determinants in patients with schizophrenia.

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The Rain mine includes two mined-out open pits that contained 36.4 t (1.17 Moz) gold, averaging 1.8 g/t gold, and underground reserves, including underground production, estimated at 4.9 t (157,000 oz) gold averaging 7.7 g/t. Rain orebodies are localized in a breccia complex within the hanging wall of the Rain fault and hosted within the Mississippian Webb Formation immediately overlying the contact with the Devonian Devils Gate Limestone. The ore host includes four texturally and genetically distinct breccia types: (1) crackle breccia; (2) hydrothermal breccia; (3) tuffisite with accretionary lapilli; and (4) collapse breccia. Crackle breccia forms a capping over multistage hydrothermal breccias that are cut by tabular-to pipe-shaped tuffisite dikes, with some containing accretionary lapilli. Pre-and synore hydrothermal breccias formed during at least three episodes of convective fluidization, followed by quartz-sulfide-barite cementation. High-grade gold was deposited as a late phase along the upper portion of the hydrothermal breccia mass and extended into the crackle breccia zone. Collapse breccias occur along the floor of the composite breccia mass and have irregular upper and lower contacts. The lower contact occurs on a dissolution boundary with the Devils Gate Limestone. Matrix-supported, heterolithic, hydrothermal breccias at Rain consist of sedimentary rock fragments composed of sandstone, siltstone, mudstone, limestone, and conglomerate. Some fragments contain as much as 8 percent introduced biotite in veinlets and/or fragment matrix replacements. The veinlets consist of euhedral quartz, biotite, sphalerite, and pyrite. Barite constitutes as much as 60 percent of the hydrothermal breccias in the form of fragments and as a cement to the breccias. Quartz replacement of fragments and as a breccia cement is pervasive. The total sulfide content in unoxidized ores is less than 5 volume percent. The Rain orebody resulted from five interpreted stages of development: (1) structural preparation along the right-lateral oblique Rain fault system and conjugate left-lateral oblique northeast-striking faults; (2) multiple episodes of hydrothermal breccia formation, with high-grade gold deposition immediately following the last brecciation event; (3) late channelized and fluidized rock fragments and fine clays forming tuffisite bodies with accretionary lapilli; (4) postmineral extensional reactivation of structures; and (5) collapse brecciation resulting from postore supergene acidic fluid ponding on and dissolving the upper Devils Gate Limestone. The age of the Rain orebody is poorly constrained. It is older than 22 Ma supergene alunite, but no maximum age constraints other than the Mississippian host rock are known.

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Statistical analysis of baseline nocturnal EEG profiles identified two groups of Ss (a restless and quiet set) who differed in their perfonnance efficiency under acute sleep deprivation. The restless group with less slow-wave sleep, more body movements, more awakenings, more transitions from stage to stage, and longer sleep latencies showed greatest sleep-loss decrement. On the first night of recovery sleep, the sleep profiles of the two groups were virtually identical, but by the tliird recovery night, the restless group was again showing signs of disturbed sleep. Within each group, all Ss had highly systematic stage-of-sleep cycles, forming Markov chains of at least order one.

Major depression is a disabling illness, with many treatment options, but no reliable predictors of treatment response. In the present study, we utilised a longitudinal design to test if pre-treatment grey-matter morphology could predict individual response to computerized guided-self-help cognitive-behavioural therapy for major depression. Using an advanced machine learning technique, in a sample of 43 un-medicated patients, we found that grey matter morphology predicted response to cognitive-behavioural therapy with 73.92% (p=0.001) accuracy and a proportionate reduction in uncertainty of 82%. We provide preliminary evidence that pre-treatment grey matter morphology is a biomarker of response to cognitive-behavioural therapy.

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