Publisher Correction: Liquid phase blending of metal-organic frameworks

The original version of this Article contained an error in Figure 1b, where the blue ‘(ZIF-4-Zn)0.5 (ZIF-62)0.5 blend’ data curve was omitted from the enthalpy response plot. This has now been corrected in both the PDF and HTML versions of the Article

Microneurosurgical Anastomoses for Cerebral Ischemia [Contents]

From jacket: The purpose of this volume is to present a series of important papers on the rapidly growing surgical field of microneurosurgical anastomoses for cerebral ischemia. It includes papers on the indications and results of microneurosurgical bypass anastomoses; on the techniques used to study patients before and after surgery, including cerebral blood flow psychometic testing, etc.; and on the basic mechanisms of cerebral ischemia studies in animals. New ideas are suggested for techniques involving increased use of the occipital arteries and the development of vein, arterial, or prosthetic grafts in place of the STA (superficial temporal artery). Also discussed are the importance of measuring blood flow in the STA where possible, and the measurement of cerebral blood flow pre- and postoperatively to monitor the results. Psychometric studies are shown to be of importance pre- and postoperatively in addition to careful neurologic evaluation

Connectionism, classical cognitive science and experimental psychology

Classical symbolic computational models of cognition are at variance with the empirical findings in the cognitive psychology of memory and inference. Standard symbolic computers are well suited to remembering arbitrary lists of symbols and performing logical inferences. In contrast, human performance on such tasks is extremely limited. Standard models donot easily capture content addressable memory or context sensitive defeasible inference, which are natural and effortless for people. We argue that Connectionism provides a more natural framework in which to model this behaviour. In addition to capturing the gross human performance profile, Connectionist systems seem well suited to accounting for the systematic patterns of errors observed in the human data. We take these arguments to counter Fodor and Pylyshyn's (1988) recent claim that Connectionism is, in principle, irrelevant to psychology

One thousand plant transcriptomes and the phylogenomics of green plants

Abstract: Green plants (Viridiplantae) include around 450,000–500,000 species1, 2 of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life