That Fascinating Rag

https://digitalcommons.library.umaine.edu/mmb-vp/6520/thumbnail.jp

Capt. Bing

https://digitalcommons.library.umaine.edu/mmb-me/1021/thumbnail.jp

Paid in Full : Waltzes

https://digitalcommons.library.umaine.edu/mmb-ps/3063/thumbnail.jp

Money / music by Wm. F. Braun; words by Walter Stephens

Cover: drawing of an African American male with outfolded pockets saying Wish I Had a Dime; Publisher: Frank K. Root and Co. (New York)https://egrove.olemiss.edu/sharris_b/1078/thumbnail.jp

Laparoendoscopic single-site (LESS) sacrocolpopexy: feasibility and efficacy of knotless procedure performed with conventional instruments

The aim of this paper was to report a case of a patient with stage IV vaginal vault prolapse treated by laparoendoscopic single-site (LESS) sacrocolpopexy using an Alexis retractor and a surgical glove attached to three trocars through a 3.5-cm umbilical incision. Only conventional laparoscopic instruments were used for intrabdominal dissection of vagina and peritoneum. The mesh was fixed to the vaginal fornix and to the sacral periosteum from the promontory using running sutures hold in the extremities by polymer clips. The posterior peritoneum was closed over the mesh. LESS sacrocolpopexy performed with conventional instruments is a difficult but feasible and efficient technique to treat vaginal vault prolapse that respects the principles of conventional laparoscopic or open repairs. Alexis retractor associated with knotless sutures are technical options that simplify LESS reconstructive surgical maneuvers

Tracing Noble Gas Radionuclides in the Environment

Trace analysis of radionuclides is an essential and versatile tool in modern science and technology. Due to their ideal geophysical and geochemical properties, long-lived noble gas radionuclides, in particular, 39Ar (t1/2 = 269 yr), 81Kr (t1/2 = 2.3x10^5 yr) and 85Kr (t1/2 = 10.8 yr), have long been recognized to have a wide range of important applications in Earth sciences. In recent years, significant progress has been made in the development of practical analytical methods, and has led to applications of these isotopes in the hydrosphere (tracing the flow of groundwater and ocean water). In this article, we introduce the applications of these isotopes and review three leading analytical methods: Low-Level Counting (LLC), Accelerator Mass Spectrometry (AMS) and Atom Trap Trace Analysis (ATTA)

The LSST DESC data challenge 1: Generation and analysis of synthetic images for next-generation surveys

Data Challenge 1 (DC1) is the first synthetic data set produced by the Rubin Observatory Legacy Survey of Space and Time (LSST) Dark Energy Science Collaboration (DESC). DC1 is designed to develop and validate data reduction and analysis and to study the impact of systematic effects that will affect the LSST data set. DC1 is comprised of r-band observations of 40 deg2 to 10 yr LSST depth. We present each stage of the simulation and analysis process: (a) generation, by synthesizing sources from cosmological N-body simulations in individual sensor-visit images with different observing conditions; (b) reduction using a development version of the LSST Science Pipelines; and (c) matching to the input cosmological catalogue for validation and testing. We verify that testable LSST requirements pass within the fidelity of DC1. We establish a selection procedure that produces a sufficiently clean extragalactic sample for clustering analyses and we discuss residual sample contamination, including contributions from inefficiency in star-galaxy separation and imperfect deblending. We compute the galaxy power spectrum on the simulated field and conclude that: (i) survey properties have an impact of 50 per cent of the statistical uncertainty for the scales and models used in DC1; (ii) a selection to eliminate artefacts in the catalogues is necessary to avoid biases in the measured clustering; and (iii) the presence of bright objects has a significant impact (2-6) in the estimated power spectra at small scales (> 1200), highlighting the impact of blending in studies at small angular scales in LSST

Os profissionais da informação: avaliação de currículo Lattes no domínio da organização do conhecimento na era do big data

The Big Data phenomenon evidences a context in constant cultural, social, political and economic changes and also in Information Science with a concern in the treatment of data, to guarantee the adequate and efficient recovery, in digital environments. In this way, new horizons for information professionals are opened up. The present research presents as problematic the formation and performance of the information professional for data processing in the Big Data Age, in which the SOCs have the tools to assist in the recovery of digital knowledge. Within this context, we mean the contributions of knowledge organization systems (KOS) supported by technologies and contributions from other fields, such as Computer Science and Linguistics. Therefore, studies and research are needed to better understand the dimensions of how the information professional is preparing and dealing with the systems of knowledge organization in relation to the big data era. In the present research, the training and performance of the information professionals working with knowledge organization systems together with the big data were analyzed. For this, a curricular analysis was carried out by the IC professionals who approach the proposed theme. In this way, it is a general objective to investigate the profile of the IC professional in the KOS theme along with Big Data, to contribute to the development of the area. Specific objectives are to identify: I) what are the university degrees of these professionals, II) if these professionals have a postgraduate degree and in which area, III) the area where the information professionals are performing their duties. In this way, the curricula were retrieved on the Lattes platform, which is a database of the Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq - Plataforma Lattes do Brasil, using the filter "Area of Information Science" and search terms used were "big data and knowledge organization systems" in all fields offered by the database. Once the quantitative survey was carried out, the university training of these professionals and their professional performance were analyzed, and the professional skills and competences of the information professional in the Big Data era were discussed. their contributions. We recovered 71 curricula that work with KOS and big data, in which all these professionals concluded their doctorate, 70 of these professionals act as university professor and only 1 is not professor and is inserted in the administrative branch. It was verified that Blioteconomia is the graduation that most form information professionals working in the area of knowledge organization systems and big data together. All the curricula analyzed have some type of training in higher education, the post graduate that stood out most was in the area of information technology

Os profissionais da informação: avaliação de currículo Lattes no domínio da organização do conhecimento na era do big data

The Big Data phenomenon evidences a context in constant cultural, social, political and economic changes and also in Information Science with a concern in the treatment of data, to guarantee the adequate and efficient recovery, in digital environments. In this way, new horizons for information professionals are opened up. The present research presents as problematic the formation and performance of the information professional for data processing in the Big Data Age, in which the SOCs have the tools to assist in the recovery of digital knowledge. Within this context, we mean the contributions of knowledge organization systems (KOS) supported by technologies and contributions from other fields, such as Computer Science and Linguistics. Therefore, studies and research are needed to better understand the dimensions of how the information professional is preparing and dealing with the systems of knowledge organization in relation to the big data era. In the present research, the training and performance of the information professionals working with knowledge organization systems together with the big data were analyzed. For this, a curricular analysis was carried out by the IC professionals who approach the proposed theme. In this way, it is a general objective to investigate the profile of the IC professional in the KOS theme along with Big Data, to contribute to the development of the area. Specific objectives are to identify: I) what are the university degrees of these professionals, II) if these professionals have a postgraduate degree and in which area, III) the area where the information professionals are performing their duties. In this way, the curricula were retrieved on the Lattes platform, which is a database of the Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq - Plataforma Lattes do Brasil, using the filter "Area of Information Science" and search terms used were "big data and knowledge organization systems" in all fields offered by the database. Once the quantitative survey was carried out, the university training of these professionals and their professional performance were analyzed, and the professional skills and competences of the information professional in the Big Data era were discussed. their contributions. We recovered 71 curricula that work with KOS and big data, in which all these professionals concluded their doctorate, 70 of these professionals act as university professor and only 1 is not professor and is inserted in the administrative branch. It was verified that Blioteconomia is the graduation that most form information professionals working in the area of knowledge organization systems and big data together. All the curricula analyzed have some type of training in higher education, the post graduate that stood out most was in the area of information technology