965 resultados para Vocational Technical Institute (Carbondale, Ill.)
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Road safety is a significant public health issue - 1.24m killed each year, 20-50m injured, 91% in rapidly motorising low/mid income countries Decade of Action for Road Safety 2011-2020: - National and local actions: “strengthening the management infrastructure and capacity for technical implementation of road safety activities at the national, regional and global levels” - Capacity as a constraint on a country’s action - Emphasis on knowledge/training – understand principles, promote training and education etc
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- Objective This study examined chronic disease risks and the use of a smartphone activity tracking application during an intervention in Australian truck drivers (April-October 2014). - Methods Forty-four men (mean age=47.5 [SD 9.8] years) completed baseline health measures, and were subsequently offered access to a free wrist-worn activity tracker and smartphone application (Jawbone UP) to monitor step counts and dietary choices during a 20-week intervention. Chronic disease risks were evaluated against guidelines; weekly step count and dietary logs registered by drivers in the application were analysed to evaluate use of the Jawbone UP. - Results Chronic disease risks were high (e.g. 97% high waist circumference [≥94 cm]). Eighteen drivers (41%) did not start the intervention; smartphone technical barriers were the main reason for drop out. Across 20-weeks, drivers who used the Jawbone UP logged step counts for an average of 6 [SD 1] days/week; mean step counts remained consistent across the intervention (weeks 1–4=8,743[SD 2,867] steps/day; weeks 17–20=8,994[SD 3,478] steps/day). The median number of dietary logs significantly decreased from start (17 [IQR 38] logs/weeks) to end of the intervention (0 [IQR 23] logs/week; p<0.01); the median proportion of healthy diet choices relative to total diet choices logged increased across the intervention (weeks 1–4=38[IQR 21]%; weeks 17–20=58[IQR 18]%). - Conclusions Step counts were more successfully monitored than dietary choices in those drivers who used the Jawbone UP. - Implications Smartphone technology facilitated active living and healthy dietary choices, but also prohibited intervention engagement in a number of these high-risk Australian truck drivers.
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Aberrant glycosylation of proteins is a hallmark of tumorigenesis, and could provide diagnostic value in cancer detection. Human saliva is an ideal source of glycoproteins due to the relatively high proportion of glycosylated proteins in the salivary proteome. Moreover, saliva collection is non-invasive, technically straightforward and the sample collection and storage is relatively easy. Although, differential glycosylation of proteins can be indicative of disease states, identification of differential glycosylation from clinical samples is not trivial. To facilitate salivary glycoprotein biomarker discovery, we optimised a method for differential glycoprotein enrichment from human saliva based on lectin magnetic bead arrays (saLeMBA). Selected lectins from distinct reactivity groups were used in the saLeMBA platform to enrich salivary glycoproteins from healthy volunteer saliva. The technical reproducibility of saLeMBA was analysed with LC-MS/MS to identify the glycosylated proteins enriched by each lectin. Our saLeMBA platform enabled robust glycoprotein enrichment in a glycoprotein- and lectin-specific manner consistent with known protein-specific glycan profiles. We demonstrated that saLeMBA is a reliable method to enrich and detect glycoproteins present in human saliva.
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Contribution to the Congress " Sacred and Secular Buildings," Washington, May 1999, describing a project of the Institute of Architecture at the Technical University of Braunschweig in cooperation with the Center for Jewish Art in Jerusalem, which has been working on a documentation of synagogues, cemetery chapels, and ritual baths in Germany since 1994.
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This collection contains the papers of Ernest W. Michel, Holocaust Survivor Journalist and public speaker,including clippings of newspaper articles written by and about Michel, correspondence between Michel and many important Jewish and political figures and autograph files, which Michel collected. Many of these files concern Michel’s Holocaust experiences, speaking engagements, the World Gathering of Jewish Holocaust Survivors, and Michel’s work with the United Jewish Appeal.
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Bibliography : p. 144-148.
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It is a bust-length, with three-quarter view. The portrait is of the highest technical quality aswell as a good chatacter study.
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Manuscript of an autobiographical novel, recounting the author’s experiences under Nazi rule in Austria after the occupation of 1938, particularly his imprisonment in Dachau concentration camp and his subsequent emigration to England.
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With few exceptions, the bulk of the collection pertains to the work of the Agro-Joint. Records of the Agro-Joint Director General. Agreements of the American Relief Administration (ARA) and the Joint Distribution Committee with the Soviet government, 1922-1923. Agreements between the Agro-Joint and the Soviet government, 1924, 1927, 1928. Agreements of the Agro-Joint and the American Society for Jewish Farm Settlements (ASJFS) with the Soviet government, 1929, 1930, 1933, 1938. Materials relating to relief work of the JDC within the framework of the American Relief Administration, 1922, including the appointment of J. Rosen as the JDC representative at the ARA. Statistics, reports, miscellaneous correspondence relating to JDC activities in Russia. Minutes, memos, reports, legal documents, certificate of incorporation, and general correspondence relating to the ASJFS, its formation, fund-raising activities, 1927-1939. Records of the Agro-Joint Main Office, Moscow. Annual and periodi c reports of the Agro-Joint including statistics, financial estimates, financial reports, analyses of expenditures, relating to Agro-Joint work, 1924-1937. General correspondence files: incoming and outgoing letters, reports, and memoranda. Materials relating to land surveys and allocations in the Crimea: statistics, surveys, memos, correspondence, relating to the Salsk district, Chernomor district, Changar peninsula, Azov, Kuban, Odessa district, Samara district, Povolzhe, Krivoy Rog, Kherson, The Far East, Siberia. Materials relating to contacts with KOMZET. Correspondence, minutes of KOMZET meetings, statistical information, reports. By-laws of the OZET (Obshchestvo po Zemleustroystvu Trudyachtchikhsya Evreev - Association For the Settlement of Toiling Jews On Land) and AGRO-KUSTBANK (Evreysky Agrarno-Kustarny Bank - Jewish Agricultural and House Workers Bank). Register of Agro-Joint assets transferred to KOMZET. Records of the Agro-Joint Agricultural Department. Materials
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Food processing industry generates substantial high organic wastes along with high energy uses. The recovery of food processing wastes as renewable energy sources represents a sustainable option for the substitution of fossil energy, contributing to the transition of food sector towards a low-carbon economy. This article reviews the latest research progress on biofuel production using food processing wastes. While extensive work on laboratory and pilot-scale biosystems for energy production has been reported, this work presents a review of advances in metabolic pathways, key technical issues and bioengineering outcomes in biofuel production from food processing wastes. Research challenges and further prospects associated with the knowledge advances and technology development of biofuel production are discussed.
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Microarrays are high throughput biological assays that allow the screening of thousands of genes for their expression. The main idea behind microarrays is to compute for each gene a unique signal that is directly proportional to the quantity of mRNA that was hybridized on the chip. A large number of steps and errors associated with each step make the generated expression signal noisy. As a result, microarray data need to be carefully pre-processed before their analysis can be assumed to lead to reliable and biologically relevant conclusions. This thesis focuses on developing methods for improving gene signal and further utilizing this improved signal for higher level analysis. To achieve this, first, approaches for designing microarray experiments using various optimality criteria, considering both biological and technical replicates, are described. A carefully designed experiment leads to signal with low noise, as the effect of unwanted variations is minimized and the precision of the estimates of the parameters of interest are maximized. Second, a system for improving the gene signal by using three scans at varying scanner sensitivities is developed. A novel Bayesian latent intensity model is then applied on these three sets of expression values, corresponding to the three scans, to estimate the suitably calibrated true signal of genes. Third, a novel image segmentation approach that segregates the fluorescent signal from the undesired noise is developed using an additional dye, SYBR green RNA II. This technique helped in identifying signal only with respect to the hybridized DNA, and signal corresponding to dust, scratch, spilling of dye, and other noises, are avoided. Fourth, an integrated statistical model is developed, where signal correction, systematic array effects, dye effects, and differential expression, are modelled jointly as opposed to a sequential application of several methods of analysis. The methods described in here have been tested only for cDNA microarrays, but can also, with some modifications, be applied to other high-throughput technologies. Keywords: High-throughput technology, microarray, cDNA, multiple scans, Bayesian hierarchical models, image analysis, experimental design, MCMC, WinBUGS.
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Vital records (originals and translations) and a family tree of the descendents of the cobbler Moses Rosenthal (1820-1896) and his wife Hannchen Stern (1815-1868) from Münchholzhausen, Germany.
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Digital image
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Digital image
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Sensor networks represent an attractive tool to observe the physical world. Networks of tiny sensors can be used to detect a fire in a forest, to monitor the level of pollution in a river, or to check on the structural integrity of a bridge. Application-specific deployments of static-sensor networks have been widely investigated. Commonly, these networks involve a centralized data-collection point and no sharing of data outside the organization that owns it. Although this approach can accommodate many application scenarios, it significantly deviates from the pervasive computing vision of ubiquitous sensing where user applications seamlessly access anytime, anywhere data produced by sensors embedded in the surroundings. With the ubiquity and ever-increasing capabilities of mobile devices, urban environments can help give substance to the ubiquitous sensing vision through Urbanets, spontaneously created urban networks. Urbanets consist of mobile multi-sensor devices, such as smart phones and vehicular systems, public sensor networks deployed by municipalities, and individual sensors incorporated in buildings, roads, or daily artifacts. My thesis is that "multi-sensor mobile devices can be successfully programmed to become the underpinning elements of an open, infrastructure-less, distributed sensing platform that can bring sensor data out of their traditional close-loop networks into everyday urban applications". Urbanets can support a variety of services ranging from emergency and surveillance to tourist guidance and entertainment. For instance, cars can be used to provide traffic information services to alert drivers to upcoming traffic jams, and phones to provide shopping recommender services to inform users of special offers at the mall. Urbanets cannot be programmed using traditional distributed computing models, which assume underlying networks with functionally homogeneous nodes, stable configurations, and known delays. Conversely, Urbanets have functionally heterogeneous nodes, volatile configurations, and unknown delays. Instead, solutions developed for sensor networks and mobile ad hoc networks can be leveraged to provide novel architectures that address Urbanet-specific requirements, while providing useful abstractions that hide the network complexity from the programmer. This dissertation presents two middleware architectures that can support mobile sensing applications in Urbanets. Contory offers a declarative programming model that views Urbanets as a distributed sensor database and exposes an SQL-like interface to developers. Context-aware Migratory Services provides a client-server paradigm, where services are capable of migrating to different nodes in the network in order to maintain a continuous and semantically correct interaction with clients. Compared to previous approaches to supporting mobile sensing urban applications, our architectures are entirely distributed and do not assume constant availability of Internet connectivity. In addition, they allow on-demand collection of sensor data with the accuracy and at the frequency required by every application. These architectures have been implemented in Java and tested on smart phones. They have proved successful in supporting several prototype applications and experimental results obtained in ad hoc networks of phones have demonstrated their feasibility with reasonable performance in terms of latency, memory, and energy consumption.