125 research outputs found
Letter from Catherine Bauer Wurster and Howard Noise to Milton Stover Eisenhower, Administrator, War Relocation Authority, March 23, 1942
No full textLetter from Catherine Bauer Wurster and Howard Noise to Milton Stover Eisenhower. The authors write to recommend that the San Francisco office of the Farm Security Administration be used "in so far as possible in the work of relocating the aliens." Authors reference enclosed letter to Gen. John L. Dewitt (chs_ms840_0318). Authors mention support for the idea from Dr. Paul Taylor of the University of California.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide
SWATH Mass Spectrometry-Based CSF Proteome Profile of GBA-Linked Parkinson’s Disease Patients
No full textβ-glucocerebrosidase (GBA)-associated mutations are a significant risk factor for Parkinson’s disease (PD) that aggravate the disease pathology by upregulating the deposition of α-Synuclein (α-Syn). The resultant clinical profile varies for PD patients without GBA mutations. The current study aimed to identify the proteomic targets involved in the pathogenic pathways leading to the differential clinical presentation of GBA-associated PD. CSF samples (n = 32) were obtained from PD patients with GBA mutations (n = 22), PD patients without GBA mutations (n = 7), and healthy controls that were carriers of GBA mutations (n = 3). All samples were subjected to in-gel tryptic digestion followed by the construction of the spectral library and quantitative SWATH-based analysis. CSF α-Syn levels were reduced in both PDIdiopathic and PDGBA cases. Our SWATH-based mass spectrometric analysis detected 363 proteins involved in immune response, stress response, and cell signaling in various groups. Intergroup analysis showed that 52 proteins were significantly up- or downregulated in various groups. Of these 52 targets, 20 proteins were significantly altered in PDGBA cases only while 2 showed different levels in PDIdiopathic patients. Our results show that the levels of several pathologically relevant proteins, including Contactin-1, Selenium-binding protein 1, Adhesion G Protein-Coupled Receptor, and Apolipoprotein E are significantly different among the sporadic and genetic variants of PD and hint at aggravated synaptic damage, oxidative stress, neuronal loss, and aggregation of α-Syn in PDGBA cases
Machine learning-based personalized composite score dissects risk and protective factors for cognitive and motor function in older participants
No full textIntroduction: With age, sensory, cognitive, and motor abilities decline, and the risk for neurodegenerative disorders increases. These impairments influence the quality of life and increase the need for care, thus putting a high burden on society, the economy, and the healthcare system. Therefore, it is important to identify factors that influence healthy aging, particularly ones that are potentially modifiable through lifestyle choices. However, large-scale studies investigating the influence of multi-modal factors on a global description of healthy aging measured by multiple clinical assessments are sparse. Methods: We propose a machine learning model that simultaneously predicts multiple cognitive and motor outcome measurements on a personalized level recorded from one learned composite score. This personalized composite score is derived from a large set of multi-modal components from the TREND cohort, including genetic, biofluid, clinical, demographic, and lifestyle factors. Results: We found that a model based on a single composite score was able to predict cognitive and motor abilities almost as well as a classical flexible regression model specifically trained for each single clinical score. In contrast to the flexible regression model, our composite score model is able to identify factors that globally influence cognitive and motoric abilities as measured by multiple clinical scores. The model identified several risk and protective factors for healthy aging and recovered physical exercise as a major, modifiable, protective factor. Discussion: We conclude that our low parametric modeling approach successfully recovered known risk and protective factors of healthy aging on a personalized level while providing an interpretable composite score. We suggest validating this modeling approach in other cohorts
Application of IVDr NMR spectroscopy to stratify Parkinson’s disease with absolute quantitation of blood serum metabolites and lipoproteins
No full textAbstract The challenge of early detection and stratification in Parkinson’s disease (PD) is urgent due to the current emergence of mechanism-based disease-modifying treatments. In here, metabolomic and lipidomic parameters obtained by a standardized and targeted in vitro diagnostic research (IVDr) platform have a significant potential to address therapy-related questions and generate improved biomarker panels. Our study aimed to use IVDr nuclear magnetic resonance (NMR) spectroscopy to quantify metabolites and lipoproteins in PD blood serum from different cohorts to stratify metabolically driven subtypes of idiopathic and genetic PD. Serum aliquots from three neurodegeneration biobank cohorts (287 samples in total, including 62 PD patient samples with GBA mutation, 98/43 PD patient samples of early/late stages of disease duration, 20 PD samples from patients with mutations in recessive PD genes and some smaller subgroups of mitochondrial and double mutation cases) were prepared and analyzed with IVDr NMR spectroscopy, covering 39 blood serum metabolites and 112 lipoprotein parameters. Uni- and multivariate statistics were used to identify metabolism-driven changes under consideration of typical confounders such as age, sex and disease duration and set into context with clinical biomarkers such as CSF concentrations of alpha-synuclein, neurofilament light chain, and tau protein. Based on the different PD subgroups we performed a total of eight different comparisons. Highlights from these comparisons include increased citrate and dimethylglycine with a decrease of creatinine and methionine in healthy controls and early PD group compared to GBA, PD late and recessive PD. We furthermore identified decreased HDL-3 free cholesterol in genetic PD cases compared to sporadic subject samples (sum of the PD early and PD late groups). Considering medication, we found that the levodopa equivalent daily dose (LEDD) is mostly positively correlated with tyrosine and citrate in sporadic PD compared to pyruvate and phenylalanine in genetic PD. Cerebrospinal fluid levels of alpha-synuclein were negatively correlated with alanine. Further metabolites and lipoproteins with discriminatory power for double mutation PD cases involved ornithine, 2-aminobutyrate and 2-hydroxybutyrate as well as for mitochondrial phenotypes via LDL phospholipid, apolipoprotein and cholesterol subfractions. Quantitative IVDr NMR serum spectroscopy is able to stratify PD patient samples of different etiology and can contribute to a wider understanding of the underlying metabolism-driven alterations e.g. in energy, amino acid, and lipoprotein metabolism. Though our overall cohort was large, major confounders such as age, sex and medication have a strong impact. That is why absolute quantification and detailed patient knowledge about metabolic confounders, is a premise for future translation of NMR serum spectroscopy to routine PD diagnostics
NICIL: a stand alone library to self-consistently calculate non-ideal magnetohydrodynamic coefficients in molecular cloud cores (article)
No full textThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.The dataset associated with this article is available in ORE at: http://hdl.handle.net/10871/25398In this paper, we introduce Nicil: Non-Ideal magnetohydrodynamics Coefficients and Ionisation Library. Nicil is a stand-alone Fortran90 module that calculates the ionisation values and the coefficients of the non-ideal magnetohydrodynamics terms of Ohmic resistivity, the Hall effect, and ambipolar diffusion. The module is fully parameterised such that the user can decide which processes to include and decide upon the values of the free parameters, making this a versatile and customisable code. The module includes both cosmic ray and thermal ionisation; the former includes two ion species and three species of dust grains (positively charged, negatively charged, and neutral), and the latter includes five elements which can be doubly ionised. We demonstrate tests of the module, and then describe how to implement it into an existing numerical code.JW acknowledges
support from the Australian Research Council (ARC) Discovery
Projects Grant DP130102078 and from the European Research
Council under the European Community’s Seventh Framework Programme
(FP7/2007–2013 grant agreement no. 339248)
In-Depth Analysis And Program Notes For A Selection Of Wind Band Music
No full textThis document is an in-depth analysis of five selections for wind band: Do Not Go Gentle Into That Good Night, Elliot Del Borgo; Jericho, Jesse Ayers; Sunrise at Angel\u27s Gate, Philip Sparke; Danza Sinfonica, James Barnes and The Engulfed Cathedral, Claude Debussy, transcribed for wind band by Merlin Patterson. These pages contain biographical information on each composer, program notes, formal analysis, musical considerations, and conducting and rehearsal considerations by the author. A detailed diagram of the formal and phrasal structure is included on each piece in the Appendix
THE FLUORESCENCE OF THE WURSTER'S BLUE RADICAL CATION IS CONTROLLED BY A CONICAL INTERSECTION
No full textAuthor Institution: Department of Chemistry and Center for Photochemical Sciences, Bowling Green State University, Bowling Green, OH 43403, USA; Physical Chemistry Department, University of Geneva, 1211 Geneva, Switzerland\indent The photochemistry and photophysics of a stable N,N,N',N'- tetramethyl-\textit{p}-phenylenediamine radical cation (commonly known as Wurster s Blue) is the subject of current research interest as it represents an example of mixed valence (MV) compound. In this work we used \textit{ab initio} CASSCF/CASPT2 quantum chemical calculations to map its first excited state (D) potential energy surface in the gas-phase. \indent According to the spectral data by Grilj et al., the fluorescence of Wurster s Blue radical cation could only be observed at low temperatures (below 115K). In order to explain this behavior, the conical intersection space (IS) between the first excited (D) and the ground state (D) potential energy surfaces was mapped and characterized. The intrinsic reaction coordinate (IRC) scan, following the relaxation of the Wurster s blue molecule from the D/D intersection space along the D potential energy surface, led to the ground state equilibrium structure. The energy barrier between the excited state energy minimum and the lowest lying conical intersection structure (CI) was calculated to be 3.1 kcal/mol. As a result, we concluded that this barrier was responsible for the observed temperature dependence of the fluorescence that disappears at temperatures above 115K due to the opening of a radiationless deactivation channel
The Effect of Nonlinearity on Determined Parameters of Gun Propellant Burn Rate Models
No full textS.538-542The pressure dependent linear burning velocity of gun propellants is described by burn rate models, e. g. Vieille's law with prefactor v and pressure exponent a. To determine the burn rate parameters closed vessel experiments are conducted, the resulting p(t) curves are analysed and a and v are determined by a curve fitting procedure. It is shown that due to the nonlinearity of the pressure dependence in Vieille's law the objective function exhibits a topography which leads to an almost linear correlation between determined burn rate parameters a and v. This is mathematically equivalent to the so called kinetic compensation effect known from thermal analysis. Therefore this linear correlation is called the ballistic compensation effect by the author. If this effect is taken into account different burn rate measurements that are seemingly non compatible can be unified.43Nr.
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