Guide to Daily Correspondence of the Coast, Rift Valley, Central and Northeastern Provinces : Kenya National Archives

The daily correspondence of the provincial and district officers of the East Africa Protectorate and Kenya Colony were microfilmed during the 1960s as part of a cooperative project between the Kenya National Archives and Syracuse University. … This guide was prepared at Syracuse University during 1982-84 under a grant from the National Endowment for the Humanities. It is an index to the follow collections of daily correspondence: Cost Province, 2nd series, 1894-1965: 150 reels Central Province, 1888-1964: 71 reels (1-40, 61-91) Rift Valley Province, 1894-1959: 61 reels Northeastern Province, 1909-63: 46 reel

Guide to daily correspondence of the Coast, Rift Valley, Central, and Northeastern Provinces : Kenya National Archives microfilm

The daily correspondence of the provincial and district officers of the East Africa Protectorate and Kenya Colony were microfilmed during the 1960s as part of a cooperative project between the Kenya National Archives and Syracuse University. This guide was prepared at Syracuse University during 1982-84 under a grant from the National Endowment for the Humanities. It is an index to the follow collections of daily correspondence: Cost Province, 2nd series, 1894-1965: 150 reels -- Central Province, 1888-1964: 71 reels (1-40, 61-91) -- Rift Valley Province, 1894-1959: 61 reels -- Northeastern Province, 1909-63: 46 reels. For more information, refer to the Kenya National Archives subject guide.https://surface.syr.edu/archiveguidekenya/1007/thumbnail.jp

A Guide to the Secretariat Circulars: Kenya National Archives Microfilm

The Secretariat Circulars are made up of five reels of microfilm that comprise Section 7, the last section of the Guide to the Kenya National Archives. Microfilm number: 2807.https://surface.syr.edu/books/1008/thumbnail.jp

Application of Metabolomics to Cardiovascular Biomarker and Pathway Discovery

Emerging technologies based on mass spectrometry and nuclear magnetic resonance enable the monitoring of hundreds of metabolites from tissues or body fluids, that is, “metabolomics.” Because metabolites change rapidly in response to physiologic perturbations, they represent proximal reporters of disease phenotypes. The profiling of low molecular weight biochemicals, including lipids, sugars, nucleotides, organic acids, and amino acids, that serve as substrates and products in metabolic pathways is particularly relevant to cardiovascular diseases. In addition to serving as disease biomarkers, circulating metabolites may participate in previously unanticipated roles as regulatory signals with hormone-like functions. Cellular metabolic pathways are highly conserved among species, facilitating complementary functional studies in model organisms to provide insight into metabolic changes identified in humans. Although metabolic profiling technologies and methods of pattern recognition and data reduction remain under development, the coupling of metabolomics with other functional genomic approaches promises to extend our ability to elucidate biological pathways and discover biomarkers of human disease

Partitioning Multivariate Polynomial Equations via Vertex Separators for Algebraic Cryptanalysis and Mathematical Applications

We present a novel approach for solving systems of polynomial equations via graph partitioning. The concept of a variable-sharing graph of a system of polynomial equations is defined. If such graph is disconnected, then the system of equations is actually two separate systems that can be solved individually. This can provide a significant speed-up in computing the solution to the system, but is unlikely to occur either randomly or in applications. However, by deleting a small number of vertices on the graph, the variable-sharing graph could be disconnected in a balanced fashion, and in turn the system of polynomial equations are separated into smaller ones of similar sizes. In graph theory terms, this process is equivalent to finding balanced vertex partitions with minimum-weight vertex separators. The techniques of finding these vertex partitions are discussed, and experiments are performed to evaluate its practicality for general graphs and systems of polynomial equations. Applications of this approach to the QUAD family of stream ciphers, algebraic cryptanalysis of the stream cipher Trivium and its variants, as well as some mathematical problems in game theory and computational algebraic geometry are presented. In each of these cases, the systems of polynomial equations involved are well-suited to our graph partitioning method, and constructive results are discussed

Highly Sensitive Detection and Discrimination of Biogenic Amines Utilizing Arrays of Polyaniline/Carbon Black Composite Vapor Detectors

Chemically-sensitive resistors have been developed that allow rapid detection of an important class of compounds, biogenic amines, at levels of 1−10 parts per trillion in ambient air. The materials are composites of a conducting organic polymer, the emeraldine salt of polyaniline, with particles of another conducting phase, carbon black. The resistance response of an EM−DBSA(1:0.5)/CB (80:20) detector exposed to water (a), acetone (b), methanol (c), ethyl acetate (d), and butanol (e) is approximately a factor of a million smaller than that to butylamine (f)

Preparation and Properties of Vapor Detector Arrays Formed from Poly(3,4-ethylenedioxy)thiophene−Poly(styrene sulfonate)/Insulating Polymer Composites

Poly(3,4-ethylenedioxy)thiophene−poly(styrene sulfonate) (PEDOT−PSS) was used as the conductive component in a matrix of chemically different insulating polymers to form an array of vapor detectors. Such composites produced larger relative differential resistance responses when exposed to polar analytes than did the corresponding carbon black filled polymer composite detectors. However, the PEDOT−PSS composites produced smaller responses than carbon black composites when exposed to nonpolar analytes. The resolving power of a PEDOT−PSS detector array was compared to that of a carbon black composite array for a broadly construed set of organic vapors. The PEDOT−PSS array exhibited better, on average, discrimination between pairs of polar analytes and polar/nonpolar analytes than did the carbon black composite array. The carbon black composite array outperformed the PEDOT−PSS array in discriminating between nonpolar compounds. The addition of PEDOT−PSS composites to an array of carbon black composite detectors therefore can produce improved overall discrimination in a vapor sensor system when used in tasks to differentiate between of a broad set of analyte vapors

Hispanics/Latinos With Type 2 Diabetes Have Functional and Symptomatic Pulmonary Impairment Mirroring Kidney Microangiopathy: Findings From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Type 2 diabetes mellitus (DM) has been associated with lung dysfunction, but this association has not been explored in Hispanics/Latinos. The relation between diabetic nephropathy and lung function and symptoms has not been explored

Highly Sensitive Detection and Discrimination of Biogenic Amines Utilizing Arrays of Polyaniline/Carbon Black Composite Vapor Detectors

Chemically-sensitive resistors have been developed that allow rapid detection of an important class of compounds, biogenic amines, at levels of 1−10 parts per trillion in ambient air. The materials are composites of a conducting organic polymer, the emeraldine salt of polyaniline, with particles of another conducting phase, carbon black. The resistance response of an EM−DBSA(1:0.5)/CB (80:20) detector exposed to water (a), acetone (b), methanol (c), ethyl acetate (d), and butanol (e) is approximately a factor of a million smaller than that to butylamine (f)

Computational statistics using the Bayesian Inference Engine

This paper introduces the Bayesian Inference Engine (BIE), a general parallel, optimised software package for parameter inference and model selection. This package is motivated by the analysis needs of modern astronomical surveys and the need to organise and reuse expensive derived data. The BIE is the first platform for computational statistics designed explicitly to enable Bayesian update and model comparison for astronomical problems. Bayesian update is based on the representation of high-dimensional posterior distributions using metric-ball-tree based kernel density estimation. Among its algorithmic offerings, the BIE emphasises hybrid tempered MCMC schemes that robustly sample multimodal posterior distributions in high-dimensional parameter spaces. Moreover, the BIE is implements a full persistence or serialisation system that stores the full byte-level image of the running inference and previously characterised posterior distributions for later use. Two new algorithms to compute the marginal likelihood from the posterior distribution, developed for and implemented in the BIE, enable model comparison for complex models and data sets. Finally, the BIE was designed to be a collaborative platform for applying Bayesian methodology to astronomy. It includes an extensible object-oriented and easily extended framework that implements every aspect of the Bayesian inference. By providing a variety of statistical algorithms for all phases of the inference problem, a scientist may explore a variety of approaches with a single model and data implementation. Additional technical details and download details are available from http://www.astro.umass.edu/bie. The BIE is distributed under the GNU GPL.Comment: Resubmitted version. Additional technical details and download details are available from http://www.astro.umass.edu/bie. The BIE is distributed under the GNU GP