Chern classes and extraspecial groups

The mod-p cohomology ring of the extraspecial p-group of exponent p is studied for odd p. We investigate the subquotient ch(G) generated by Chern classes modulo the nilradical. The subring of ch(G) generated by Chern classes of one-dimensional representations was studied by Tezuka and Yagita. The subring generated by the Chern classes of the faithful irreducible representations is a polynomial algebra. We study the interplay between these two families of generators, and obtain some relations between them

Structural Evidence for the Tetrameric Assembly of Chemokine CCL11 and the Glycosaminoglycan Arixtra™.

Understanding chemokine interactions with glycosaminoglycans (GAG) is critical as these interactions have been linked to a number of inflammatory medical conditions, such as arthritis and asthma. To better characterize in vivo protein function, comprehensive knowledge of multimeric species, formed by chemokines under native conditions, is necessary. Herein is the first report of a tetrameric assembly of the human chemokine CCL11, which was shown bound to the GAG Arixtra™. Isothermal titration calorimetry data indicated that CCL11 interacts with Arixtra, and ion mobility mass spectrometry (IM-MS) was used to identify ions corresponding to the CCL11 tetrameric species bound to Arixtra. Collisional cross sections (CCS) of the CCL11 tetramer-Arixtra noncovalent complex were compared to theoretical CCS values calculated using a preliminary structure of the complex deduced using X-ray crystallography. Experimental CCS values were in agreement with theoretical values, strengthening the IM-MS evidence for the formation of the noncovalent complex. Tandem mass spectrometry data of the complex indicated that the tetramer-GAG complex dissociates into a monomer and a trimer-GAG species, suggesting that two CC-like dimers are bridged by Arixtra. As development of chemokine inhibitors is of utmost importance to treatment of medical inflammatory conditions, these results provide vital insights into chemokine-GAG interactions

Ultrasound and phakometry measurements of the primate eye Technical report, Aug. 1965

Ultrasonic testing and phakometry measurements of primate ey

Impact of proactive case management by multiple sclerosis specialist nurses on use of unscheduled care and emergency presentation in multiple sclerosis

The Version of Record is freely available on the publisher website at http://ijmsc.org/doi/full/10.7224/1537-2073.2014-011?= courtesy of the Consortium of Multiple Sclerosis Centers. © 2015 Consortium of Multiple Sclerosis Centers.Background: Multiple sclerosis (MS) affects approximately 100,000 people in the United Kingdom, with rising emergency admissions to the hospital. The multiple sclerosis specialist nurse plays a pivotal role in managing MS care in the United Kingdom, and there is anecdotal evidence that this role can help avoid emergency presentations and unnecessary hospital admissions. Methods: A retrospective service evaluation took place in one established MS nursing service. The impact of the introduction of proactive nurse-led management and a rapid response service on rates of emergency presentation, hospital admission, and bed use was examined. The primary intervention was the introduction of extra nursing hours (6 hours per week) and the reallocation of some routine administrative duties, which allowed the service to move to a proactive management model aimed at avoiding the need for unplanned care. In addition, a care pathway was implemented in the emergency department for patients with MS who did present. Results: Reduction in utilization was from a mean of 2700 bed-days per year (2002-2006) to a mean of 198 bed-days per year (2007-2013). Conclusions: During a 10-year period, moving from reactive management to proactive management demonstrated an increase in complex specialist nursing interventions and led to a decrease in emergency presentation and bed use at the local acute-care center

Generating Readable RTL Using a Language Model

This disclosure describes the use of a language model to improve the readability of generated Register-Transfer Level (RTL) code. The language model is provided with a prompt that includes generated RTL and (optionally), the original hardware description. The model produces as output a readable version of the RTL. Prompts can be iterated upon automatically, e.g. if the code fails to pass a test (e.g., a lint test) or does not compile, or manually if the user prefers the output to be in a particular style. The readable RTL output by the language model can be subjected to a logic equivalence check (LEC) to confirm that the output readable RTL is equivalent to the input RTL to ensure that the behavior of the design is identical. Unlike a traditional code formatter, a language model can perform complex transformations and interpret the ideas in a block of code. A language model can also generate meaningful comments as part of the output

Immune checkpoint inhibitors in ovarian cancer: where do we stand?

Numerous retrospective studies have demonstrated that the density of intra-tumoral immune cell infiltration is prognostic in epithelial ovarian cancer (OC). These observations together with reports of programmed death ligand-1 (PD-L1) expression in advanced OC provided the rationale for investigating the benefit of programmed death-1 (PD1) or PD-L1 inhibition in OC. Unfortunately clinical trials to date evaluating PD1/PD-L1 inhibition in patients with relapsed OC have been disappointing. In this review we will discuss early results from single agent PD1/PD-L1 inhibitors and the strategies to enhance benefit from immune-oncology agents in OC, including proposing anti-PD-L1 in combination with other agents (cytotoxics, anti-angiogenics, poly(ADP-ribose) polymerase. (PARP) inhibitors, targeted therapies or other immunotherapies), as well as evaluating these agents earlier in the disease course, or in biomarker selected patients

Tubulin cofactors and Arl2 are cage-like chaperones that regulate the soluble αβ-tubulin pool for microtubule dynamics.

Microtubule dynamics and polarity stem from the polymerization of αβ-tubulin heterodimers. Five conserved tubulin cofactors/chaperones and the Arl2 GTPase regulate α- and β-tubulin assembly into heterodimers and maintain the soluble tubulin pool in the cytoplasm, but their physical mechanisms are unknown. Here, we reconstitute a core tubulin chaperone consisting of tubulin cofactors TBCD, TBCE, and Arl2, and reveal a cage-like structure for regulating αβ-tubulin. Biochemical assays and electron microscopy structures of multiple intermediates show the sequential binding of αβ-tubulin dimer followed by tubulin cofactor TBCC onto this chaperone, forming a ternary complex in which Arl2 GTP hydrolysis is activated to alter αβ-tubulin conformation. A GTP-state locked Arl2 mutant inhibits ternary complex dissociation in vitro and causes severe defects in microtubule dynamics in vivo. Our studies suggest a revised paradigm for tubulin cofactors and Arl2 functions as a catalytic chaperone that regulates soluble αβ-tubulin assembly and maintenance to support microtubule dynamics

Simulations and cosmological inference: A statistical model for power spectra means and covariances

We describe an approximate statistical model for the sample variance distribution of the non-linear matter power spectrum that can be calibrated from limited numbers of simulations. Our model retains the common assumption of a multivariate Normal distribution for the power spectrum band powers, but takes full account of the (parameter dependent) power spectrum covariance. The model is calibrated using an extension of the framework in Habib et al. (2007) to train Gaussian processes for the power spectrum mean and covariance given a set of simulation runs over a hypercube in parameter space. We demonstrate the performance of this machinery by estimating the parameters of a power-law model for the power spectrum. Within this framework, our calibrated sample variance distribution is robust to errors in the estimated covariance and shows rapid convergence of the posterior parameter constraints with the number of training simulations.Comment: 14 pages, 3 figures, matches final version published in PR