1,898 research outputs found

    X-Ray Diffraction Studies of 2-[2’-Hydroxy Salicylidene 5'-(2"-Thiazolylazo)] Benzoic Acid

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    Unusual landing of silver pomfret,Pampus argenteus by karali dol net at Bassein Kolliwada(Vasai)landing centre,Thane district,Maharashtra

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    Post monsoon fishing from 10th june to 15 th Augustis avery important period for the silver pomfret Pampus argenteus in traditional Karli dol net fishery at Bassein Kolliwada landing centre,Thane district,Maharashtra

    Occurrence of unicorn leather jacket, Alutera monoceros (Linnaeus) in dol net at Bassein Koliwada (Maharashtra)

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    Alutera monoceros was landed at Bassein Koliwada by dol net on 3/9/2003. The depth of operation was 35 - 40 meter. The specimen ranged between 420 -462 mm in length and weighing 700 - 900 gm

    Assessment of user needs of primary biodiversity data: Analysis, concerns, and challenges

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    A Content Needs Assessment (CNA) survey has been conducted in order to determine what GBIF-mediated data users may be using, what they would be using if available, and what they need in terms of primary biodiversity data records. The survey was launched in 2009 in six languages, and collected more than 700 individual responses. Analysis of the responses showed some lack of awareness about the availability of accessible primary data, and pointed out some types of data in high demand for linking to distribution and taxonomical data now derived from the GBIF cache. A notable example was linkages to molecular data. Also, the CNA survey uncovered some biases in the design of user needs surveys, by showing demographic and linguistic effects that may have influenced the distribution of responses received in analogous surveys conducted at the global scale

    Ferrule-top nanoindenter: An optomechanical fiber sensor for nanoindentation

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    Ferrule-top probes are self-aligned all-optical devices obtained by fabricating a cantilever on the top of a ferruled optical fiber. This approach has been proven to provide a new platform for the realization of small footprint atomic force microscopes (AFMs) that adapt well to utilization outside specialized laboratories [D. Chavan, Rev. Sci. Instrum. 81, 123702 (2010)10.1063/1.3516044; D. Chavan, Rev. Sci. Instrum. 82, 046107 (2011)10.1063/1.3579496]. In this paper we now show that ferrule-top cantilevers can be also used to develop nanoindenters. Our instrument combines the sensitivity of commercial AFM-based indentation with the ease-of-use of more macroscopic instrumented indenters available today on the market. Furthermore, the all-optical design allows smooth operations also in liquids, where other devices are much more limited and often provide data that are difficult to interpret. This study may pave the way to the implementation of a new generation user-friendly nanoindenters for the measurement of the stiffness of samples in material sciences and medical research. © 2012 American Institute of Physics

    Content assessment of the primary biodiversity data published through GBIF network: Status, challenges and potentials

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    With the establishment of the Global Biodiversity Information Facility (GBIF) in 2001 as an inter-governmental co-ordinating body, concerted efforts were made during the past decade to establish a global research infrastructure to facilitate the sharing, discovery and access to primary biodiversity data. As on date the participants in GBIF have enabled the discovery and access to over 267+ million such data records. While this remarkable achievement in terms of volume of data must be acknowledged, concerns about the quality and ‘fitness-for-use’ of the data should also be carefully considered in future developments. This contribution is therefore a direct response to the calls for comprehensive content assessment of the GBIF mobilised data. It is the first comprehensive assessment of the coverage of the content mobilised so far through GBIF, as well as a mean to identify the existing gaps and reflect on fitness-for-use requirements. This paper describes the complementary methodologies adopted by the GBIF Secretariat and University of Navarra for the development of a comprehensive content assessment. Outcomes of these research initiatives are summarised in four categories, namely, (a) data quality assessment, (b) trends/patterns assessment, (c) fitness-for-use assessment, and (d) ecosystem specific data diversity assessment. In conclusion we make specific suggestions to the GBIF community on the adoption of common indicators to assess progress towards future targets as well as recommendations to populate such exercise at various levels within the GBIF Network from national level to thematic levels

    PROGRAMMING THE BISTABLE DYNAMIC VIBRATION ABSORBERS OF A 1D-METASTRUCTURE FOR ADAPTIVE BROADBAND VIBRATION ABSORPTION

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    This research addresses a critical challenge in structural engineering—achieving comprehensive vibration control and energy dissipation in meta-structures. Departing from the limitations of passive structures with fixed bandgaps, we propose an innovative approach utilizing active meta-structures capable of dynamically tuning their bandgaps. The primary goal is to introduce an efficient method for programming meta-structures with multiple variable bandgaps, thereby enabling effective vibration attenuation across a broad frequency spectrum. The methodology involves transforming passive resonators into bistable adaptable Dynamic Vibration Regulators (DVRs) through a sophisticated switching mechanism. This adaptation sets the stage for numerous unique combinations by independently switching each resonator. A novel n-bit configuration method is developed to generate diverse meta-structure patterns, while an Artificial Neural Network (ANN) architecture predicts responses and bandgaps across these patterns. Additionally, a groundbreaking Reinforcement Learning (RL) algorithm is proposed to program diverse bandgaps in the meta-structure, providing a solution to counteract vibrations experienced by the structure. The research emphasizes the crucial role of the number of unit cells in the effectiveness of vibration attenuation. Common assessment methods, such as Frequency Response Functions (FRFs), fall short in providing a qualitative analysis of elastic wave reflection and absorption in bandgaps based on the number of unit cells. To bridge this gap, the study introduces a novel approach, characterizing and evaluating bandgap quality through absorption coefficients. Designing structures with selective frequency transmission is a formidable challenge, especially when aiming for a broad frequency spectrum. The proposed solution involves architecturing meta-structures with multiple sets of DVRs arranged in an array, strategically absorbing different frequencies at various locations within the structure. This groundbreaking approach not only addresses challenges in frequency selectivity but provides a profound understanding of elastic wave behavior, promising unparalleled energy absorption efficiency in the bandgap region. In summary, this research advances the field by introducing dynamic adaptability in structures, allowing them to absorb vibrations across a vast frequency spectrum. The proposed methodology holds promise for transformative applications in mechanical engineering, civil engineering, materials science, and beyond, ushering in a new era of resilient and dynamically responsive structures

    Deep U band and R imaging of GOODS-South: Observations,data reduction and first results

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    We present deep imaging in the {\em U} band covering an area of 630 arcmin2^{2} centered on the southern field of the Great Observatories Origins Deep Survey (GOODS). The data were obtained with the VIMOS instrument at the ESO Very Large Telescope. The final images reach a magnitude limit Ulim29.8U_{lim} \approx 29.8 (AB, 1σ\sigma, in a 1\arcsec radius aperture), and have good image quality, with full width at half maximum \approx 0.8\arcsec. They are significantly deeper than previous U--band images available for the GOODS fields, and better match the sensitivity of other multi--wavelength GOODS photometry. The deeper U--band data yield significantly improved photometric redshifts, especially in key redshift ranges such as 2<z<42<z<4, and deeper color--selected galaxy samples, e.g., Lyman--break galaxies at z3z\approx 3. We also present the coaddition of archival ESO VIMOS R band data, with Rlim29R_{lim} \approx 29 (AB, 1σ\sigma, 1\arcsec radius aperture), and image quality \approx 0.75 \arcsec. We discuss the strategies for the observations and data reduction, and present the first results from the analysis of the coadded images.Comment: Accepted for publication ApJS, 54 pages, 27 figures. Released data and full-quality paper version available at http://archive.eso.org/cms/eso-data/data-packages/goods-vimos-imaging-data-release-version-1.
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