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"Enigma"
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Depth charge
Lieutenant Aaron Donovan of the Office of Strategic Services embarks on a dangerous mission to get aboard a damaged German submarine and obtain the newest codebooks for the German Enigma cipher machine--will the mission be successful or end in disaster?
Book
Influence of hexavalent chromium on lactate-enriched Hanford groundwater microbial communities
Microbial reduction and immobilization of chromate (Cr(VI)) is a plausible bioremediation strategy. However, higher Cr(VI) concentrations may impose stress on native Cr-reducing communities. We sought to determine if Cr(VI) would influence the lactate enriched native microbial community structure and function in groundwater from the Cr contaminated site at Hanford, WA. Steady state continuous flow bioreactors were amended with lactate and Cr(VI) (0.0, 0.1 and 3.0 mg/L). Microbial growth, metabolites, Cr(VI) concentrations, 16S rRNA gene sequences and GeoChip based functional gene composition in bioreactors were monitored for 15 weeks. Temporal trends and some differences in growth, metabolite profiles, and community composition were observed, largely between Low-Cr and High-Cr bioreactors. In both High-Cr and Low-Cr bioreactors, Cr(VI) was reduced in the bioreactors. With lactate enrichment, the native communities did not significantly differ between Cr concentrations. Native bacterial communities were diverse, whereas after lactate enrichment, Pelosinus spp., and Sporotalea spp., were the most predominant groups in all bioreactors. Similarly, the Archaea diversity significantly decreased from Methanosaeta (35%), Methanosarcina (17%), Halobacteriales (12%), Methanoregula (8%) and others, to mostly Methanosarcina spp. (95%) after lactate enrichment. Composition of several key functional genes was distinct in Low-Cr bioreactors compared to High-Cr. Among the Cr resistant probes (chrA), Burkholderia vietnamiensis, Comamonas testosterone and Ralstonia pickettii proliferated in Cr amended bioreactors. In-situ fermentative conditions facilitated Cr(VI) reduction, and as a result the 3.0 mg/L Cr(VI) did not appear to give chromate reducing strains a competitive advantage for proliferation or for increasing Cr-reduction.
Journal Article
Codename Nemo : the hunt for a Nazi U-boat and the elusive Enigma machine
On June 4, 1944, the course of World War II was forever changed. That day, a US Navy task force achieved the impossible--capturing German U-boat U-505. Called Operation Nemo, it was the first seizure of an enemy ship in battle since the War of 1812, one of the greatest achievements of the US Navy and a victory that shortened the duration of the war.
Book
Alan Turing : his work and impact
In this 2013 winner of the prestigious R.R.Hawkins Award from the Association of American Publishers, as well as the 2013 PROSE Awards for Mathematics and Best in Physical Sciences & Mathematics, also from the AAP, readers will find many of the most significant contributions from the four-volume set of the Collected Works of A.M.Turing.
eBook
The enigma girls : how ten teenagers broke ciphers, kept secrets, and helped win World War II
\"\"You are to report to Station X at Bletchley Park, Buckinghamshire, in four days time....That is all you need to know.\" This was the terse telegram hundreds of young women throughout the British Isles received in the spring of 1941, as World War II raged. As they arrived at Station X, a sprawling mansion in a state of disrepair surrounded by Spartan-looking huts with little chimneys coughing out thick smoke-these young people had no idea what kind of work they were stepping into. Who had recommended them? Why had they been chosen? Most would never learn all the answers to these questions. Bletchley Park was a well-kept secret during World War II, operating under the code name Station X. The critical work of code-cracking Nazi missives that went on behind its closed doors could determine a victory or loss against Hitler's army. Amidst the brilliant cryptographers, flamboyant debutantes, and absent-minded professors working there, it was teenaged girls who kept Station X running. Some could do advanced math, while others spoke a second language. They ran the unwieldy bombe machines, made sense of wireless sound waves, and sorted the decoded messages. They were expected to excel in their fields and most importantly: know how to keep a secret\"-- Provided by publisher.
Book
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large‐scale meta‐ and mega‐analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large‐scale, collaborative studies of mental illness. This review discusses the major challenges facing neuroimaging research of bipolar disorder and highlights the major accomplishments, ongoing challenges and future goals of the ENIGMA Bipolar Disorder Working Group.
Journal Article
Über die Brunnentiefe eines Rätsels. Anmerkungen zur Frage nach der Tiefe des menschlichen Daseins im Denken Martin Heideggers
On the Well Depth of an Enigma. Notes on the Question of the Depth of Human Existence in Martin Heidegger’s Thought - Heidegger did not conceive a “theory” of depth, but his ways of thinking may be characterized by his own withdrawal into the unimaginable, which is attempted to be understood as a move into the “depth.” The essay seeks to take up Heidegger’s hint to pay attention to the path and not the content. Is this a possible methodological approach to self-revealing as self-concealing? It requires us to think with the concept against the concept: because although thinking needs the concept, the conceptual is beyond the concept—it is “before” comprehension. At the same time, the treatise remains a torso, because every step on the way to thinking the depth is one too much and at the same time one too few. What opens up is an enigma. But perhaps in this way the basic idea of Being and Time can nonetheless be touched upon.
Journal Article
Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed
Collaborative networks and data sharing initiatives are broadening the opportunities for the advancement of science. These initiatives offer greater transparency in science, with the opportunity for external research groups to reproduce, replicate, and extend research findings. Further, larger datasets offer the opportunity to identify homogeneous patterns within subgroups of individuals, where these patterns may be obscured by the heterogeneity of the neurobiological measure in smaller samples. However, data sharing and data pooling initiatives are not without their challenges, especially with new laws that may at first glance appear quite restrictive for open science initiatives. Interestingly, what is key to some of these new laws (i.e, the European Union's general data protection regulation) is that they provide greater control of data to those who “give” their data for research purposes. Thus, the most important element in data sharing is allowing the participants to make informed decisions about how they want their data to be used, and, within the law of the specific country, to follow the participants' wishes. This framework encompasses obtaining thorough informed consent and allowing the participant to determine the extent that they want their data shared, many of the ethical and legal obstacles are reduced to just monsters under the bed. In this manuscript we discuss the many options and obstacles for data sharing, from fully open, to federated learning, to fully closed. Importantly, we highlight the intersection of data sharing, privacy, and data ownership and highlight specific examples that we believe are informative to the neuroimaging community. Collaborative networks and data sharing initiatives are broadening the opportunities for the advancement of science. However, data sharing initiatives are not without their challenges, especially with new laws that may at first glance appear quite restrictive for open science initiatives. This article discusses the opportunities, challenges, benefits for sharing neuroimaging data, including the missed opportunities in not providing participants greater say in opportunities for data sharing initiatives.
Journal Article
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta‐Analysis (ENIGMA) Consortium to examine age‐related trajectories inferred from cross‐sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter‐individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age‐related morphometric patterns. We analyzed subcortical volumes from 18,605 healthy individuals from multiple cross‐sectional cohorts to infer age‐related trajectories between the ages of 3 and 90 years.
Journal Article
FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized. Hippocampal subfield analysis is increasingly performed with the availability of automated magnetic resonance imaging segmentation methods. We give a synopsis of the FreeSurfer hippocampal subfield segmentation algorithm, measurement reliability studies and application domains. We discuss how global size and age effects can be modeled and suggest a standardized hippocampal subfield segmentation quality control procedure for improved pipeline harmonization.
Journal Article