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7,531 result(s) for "Wood, Michael"
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Some Dare Call It Conspiracy: Labeling Something a Conspiracy Theory Does Not Reduce Belief in It
\"Conspiracy theory\" is widely acknowledged to be a loaded term. Politicians use it to mock and dismiss allegations against them, while philosophers and political scientists warn that it could be used as a rhetorical weapon to pathologize dissent. In two empirical studies conducted on Amazon Mechanical Turk, I present an initial examination of whether this concern is justified. In Experiment 1, 150 participants judged a list of historical and speculative theories to be no less likely when they were labeled \"conspiracy theories\" than when they were labeled \"ideas.\" In Experiment 2 (N = 802), participants who read a news article about fictitious \"corruption allegations\" endorsed those allegations no more than participants who saw them labeled \"conspiracy theories.\" The lack of an effect of the conspiracy-theory label in both experiments was unexpected and may be due to a romanticized image of conspiracy theories in popular media or a dilution of the term to include mundane speculation regarding corruption and political intrigue.
Anti-GD2 CAR-NKT cells in relapsed or refractory neuroblastoma: updated phase 1 trial interim results
Vα24-invariant natural killer T cells (NKTs) have anti-tumor properties that can be enhanced by chimeric antigen receptors (CARs). Here we report updated interim results from the first-in-human phase 1 evaluation of autologous NKTs co-expressing a GD2-specific CAR with interleukin 15 (IL15) (GD2-CAR.15) in 12 children with neuroblastoma (NB). The primary objectives were safety and determination of maximum tolerated dose (MTD). The anti-tumor activity of GD2-CAR.15 NKTs was assessed as a secondary objective. Immune response evaluation was an additional objective. No dose-limiting toxicities occurred; one patient experienced grade 2 cytokine release syndrome that was resolved by tocilizumab. The MTD was not reached. The objective response rate was 25% (3/12), including two partial responses and one complete response. The frequency of CD62L + NKTs in products correlated with CAR-NKT expansion in patients and was higher in responders ( n  = 5; objective response or stable disease with reduction in tumor burden) than non-responders ( n  = 7). BTG1 (BTG anti-proliferation factor 1) expression was upregulated in peripheral GD2-CAR.15 NKTs and is a key driver of hyporesponsiveness in exhausted NKT and T cells. GD2-CAR.15 NKTs with BTG1 knockdown eliminated metastatic NB in a mouse model. We conclude that GD2-CAR.15 NKTs are safe and can mediate objective responses in patients with NB. Additionally, their anti-tumor activity may be enhanced by targeting BTG1. ClinicalTrials.gov registration: NCT03294954 . In updated results from a phase 1 trial of GD2-specific CAR-NKT cells in patients with neuroblastoma, no dose-limiting toxicities were observed across multiple dose levels; the maximum tolerated dose was not reached; and there was evidence of anti-tumor activity.
Current ionising radiation doses in the Chernobyl Exclusion Zone do not directly impact on soil biological activity
Although soil organisms are essential for ecosystem function, the impacts of radiation on soil biological activity at highly contaminated sites has been relatively poorly studied. In April-May 2016, we conducted the first largescale deployment of bait lamina to estimate soil organism (largely soil invertebrate) feeding activity in situ at study plots in the Chernobyl Exclusion Zone (CEZ). Across our 53 study plots, estimated weighted absorbed dose rates to soil organisms ranged from 0.7 μGy h -1 to 1753 μGy h -1 . There was no significant relationship between soil organism feeding activity and estimated weighted absorbed dose rate. Soil biological activity did show significant relationships with soil moisture content, bulk density (used as a proxy for soil organic matter) and pH. At plots in the Red Forest (an area of coniferous plantation where trees died because of high radiation exposure in 1986) soil biological activity was low compared to plots elsewhere in the CEZ. It is possible that the lower biological activity observed in the Red Forest is a residual consequence of what was in effect an acute high exposure to radiation in 1986.
On Empson
Are literary critics writers? As Michael Wood says, \"Not all critics are writers--perhaps most of them are not--and some of them are better when they don't try to be.\" The British critic and poet William Empson (1906-84), one of the most important and influential critics of the twentieth century, was an exception--a critic who was not only a writer but also a great one. In this brief book, Wood, himself one of the most gifted writers among contemporary critics, explores Empson as a writer, a distinguished poet whose criticism is a brilliant literary performance--and proof that the act of reading can be an unforgettable adventure. Drawing out the singularity and strength of Empson's writing, including its unfailing wit, Wood traces the connections between Empson's poetry and criticism from his first and best-known critical works, Seven Types of Ambiguity and Some Versions of Pastoral, to later books such as Milton's God and The Structure of Complex Words. Wood shows why this pioneer of close reading was both more and less than the inventor of New Criticism - more because he was the greatest English critic since Coleridge, and didn't belong to any school; and less because he had severe differences with many contemporary critics, especially those who dismissed the importance of an author's intentions. Beautifully written and rich with insight, On Empson is an elegant introduction to a unique writer for whom literature was a nonstop form of living.
Forty-six years of Greenland Ice Sheet mass balance from 1972 to 2018
We reconstruct the mass balance of the Greenland Ice Sheet using a comprehensive survey of thickness, surface elevation, velocity, and surface mass balance (SMB) of 260 glaciers from 1972 to 2018. We calculate mass discharge, D, into the ocean directly for 107 glaciers (85% of D) and indirectly for 110 glaciers (15%) using velocity-scaled reference fluxes. The decadal mass balance switched from a mass gain of +47 ± 21 Gt/y in 1972–1980 to a loss of 51 ± 17 Gt/y in 1980–1990. The mass loss increased from 41 ± 17 Gt/y in 1990–2000, to 187 ± 17 Gt/y in 2000–2010, to 286 ± 20 Gt/y in 2010–2018, or sixfold since the 1980s, or 80 ± 6 Gt/y per decade, on average. The acceleration in mass loss switched from positive in 2000–2010 to negative in 2010–2018 due to a series of cold summers, which illustrates the difficulty of extrapolating short records into longer-term trends. Cumulated since 1972, the largest contributions to global sea level rise are from north-west (4.4 ± 0.2 mm), southeast (3.0 ± 0.3 mm), and central west (2.0 ± 0.2 mm) Greenland, with a total 13.7 ± 1.1 mm for the ice sheet. The mass loss is controlled at 66 ± 8% by glacier dynamics (9.1 mm) and 34 ± 8% by SMB (4.6 mm). Even in years of high SMB, enhanced glacier discharge has remained sufficiently high above equilibrium to maintain an annual mass loss every year since 1998.
Anglo-German dramatic and poetic encounters : perspectives on exchange in the Sattelzeit
\"Anglo-German Dramatic and Poetic Encounters contains essays focusing on the roles of drama and poetry in Anglo-German exchange in the Sattelzeit. It offers new perspectives on the movement of texts and ideas across genres and cultures, the formation and reception of poetic personae, and the place of illustration in cross-cultural, textual exchange\"-- Provided by publisher.
Detection of Glacier Calving Margins with Convolutional Neural Networks: A Case Study
The continuous and precise mapping of glacier calving fronts is essential for monitoring and understanding rapid glacier changes in Antarctica and Greenland, which have the potential for significant sea level rise within the current century. This effort has been mostly restricted to the slow and painstaking manual digitalization of the calving front positions in thousands of satellite imagery products. Here, we have developed a machine learning toolkit to automatically detect glacier calving front margins in satellite imagery. The toolkit is based on semantic image segmentation using Convolutional Neural Networks (CNN) with a modified U-Net architecture to isolate the calving fronts from satellite images after having been trained with a dataset of images and their corresponding manually-determined calving fronts. As a case study we train our neural network on a varied set of Landsat images with lowered resolutions from Jakobshavn, Sverdrup, and Kangerlussuaq glaciers, Greenland and test the results on images from Helheim glacier, Greenland to evaluate the performance of the approach. The neural network is able to identify the calving front in new images with a mean deviation of 96.3 m from the true fronts, equivalent to 1.97 pixels on average, while the corresponding error for manually-determined fronts on the same resolution images is 92.5 m (1.89 pixels). We find that the trained neural network significantly outperforms common edge detection techniques, and can be used to continuously map out calving-ice fronts with a variety of data products.