Final Presentation to the Library of Congress on Digital Libraries, Intelligent Data Analytics, and Augmented Description

This presentation to Library of Congress staff, delivered onsite on January 10, 2020, presents a tour through the demonstration project pursued by the Aida digital libraries research team with the Library of Congress in 2019-2020. In addition to providing an overview and analysis of the specific machine learning projects scoped and explored, this presentation includes a number of high-level take-aways and recommendations designed to influence and inform the Library of Congress\u27s machine learning efforts going forward

Structure maps for hcp metals from first principles calculations

The ability to predict the existence and crystal type of ordered structures of materials from their components is a major challenge of current materials research. Empirical methods use experimental data to construct structure maps and make predictions based on clustering of simple physical parameters. Their usefulness depends on the availability of reliable data over the entire parameter space. Recent development of high throughput methods opens the possibility to enhance these empirical structure maps by {\it ab initio} calculations in regions of the parameter space where the experimental evidence is lacking or not well characterized. In this paper we construct enhanced maps for the binary alloys of hcp metals, where the experimental data leaves large regions of poorly characterized systems believed to be phase-separating. In these enhanced maps, the clusters of non-compound forming systems are much smaller than indicated by the empirical results alone.Comment: 7 pages, 4 figures, 1 tabl

The aggregate “portfolio”: Econometrics of economic rates of return with a Portuguese illustration

Abstract. This research forwards estimation procedures – applications of weighted and generalized least squares techniques - designed to infer expected values, variances and covariances of rates of return in the presence of variously correlated sample observations but uncorrelated “sample waves” (strata of) and availability of already aggregate data – under which inference must rely on averages (means) of averages of averages... The same principles are extended to the method of order statistics, appropriate for univariate inference of a truncated distribution parameters. Simple tests of portfolio – market - efficiency based on correlations (or special rank correlations) between actual and estimated optimal shares are also proposed. Illustrative estimates for Portuguese economic sectors are provided – relying on yearly, semi-aggregate information for firms with 20 or more employees, covering the period 1996-2002: on the one hand, sector means, variances and covariances of economic returns to unitary (tangible and intangible asset) applications are presented and reduced by principal components. On the other, optimal (“unrestricted”) portfolios for nested subsets are reported, having been generated by a stepwise elimination procedure. Industries’ betas are approximated and market efficiency tested. Finally, parameter MOS estimates under (univariate) truncated normal assumptions are obtained.Keywords. Industry economic rates of return; Firm size; Optimal portfolio; Mean – Variance; CAPM; Market efficiency; Weighted least squares; “Weighted” SUR; Weighted method of order statistics; Weighted principal components; Dummy variables. Index numbers; Aggregation.JEL. G11; G12; G30. C39; C43; C51; C61. C24. L16; L25

Identification of sensitivity genes involved in teratogen-induced neural tube defects

Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to [email protected], referencing the URI of the item.Includes bibliographical references.Neural tube defects (NTDs) are common human congenital anomalies affecting 1 per 1000 live-born infants in the United States. NTDs are medical conditions that result from improper formation of the brain and spinal cord. There is evidence to suggest that NTDs have a strong genetic component to their development. My project is designed to examine differential expression patterns of genes within the neural tube cells of inbred LM/Bc mouse fetuses following exposure to the known teratogenic agent, Valproic acid (VPA). In this project I am comparing gene expression patterns in both control and treated mice and attempting to identify those genes whose expression patterns have been significantly altered. My experimental methods include isolating total RNA from Lm/Bc mouse neural tissue, reverse transcribing the RNA into cDNA and PCR amplifying the cDNA using a radioactively end labeled primer in order to visualize the amplified fragment. The labeled cDNA fragment is then loaded onto a denaturing gel and separated by electrophoresis. The gel is then exposed to film and examined. Differentially expressed cDNAs are then isolated from the gel and sequenced. The results of this project show the identification of differentially expressed genes that may regulate the occurrence of NTDs

THE SMES IN ORDER TO FACE THE AFTA AND GLOBALIZATION ERA

Small and medium enterprises (SMEs) have contributedmuch to the growth of the economy in Indonesia. Further, this sector isalso famous for its survival during the economic crisis in the late 1990’sor specifically the crisis began in the late 1997. The survival of theSMEs in Indonesia from that crisis has alerted the government andeconomic societies for not only concerning the economic developmentto the large enterprises as most of those large enterprises werecollapsed during the crisis. Prior the crisis, the government focusedon the development in capital tight industrial sectors in a big capitalsuch as: in banking and manufacturing for mass production. Most ofpolicies that were issued at that time enhanced the development ofthis sector such as: policies that eased inward investment in someparticular business; policies to provide value added tax exemption inthe bounded zone area, etc.If we look back to the crisis time, the collapse of the large enterpriseswas mainly caused by their lack of ability in paying their overseasdebt, which was in US dollar currency. The SMEs could survive mainlybecause of two reasons. First, the SMEs’ business is mostly exportoriented. They gained advantage from the payment which was in USdollar. The foreign exchange of US dollar to Indonesian currency,Rupiah, during the crisis was increased amazingly more than fourtimes from the previous value. Second, most of the SMEs did not haveliability with the foreign banks or foreign parties. Thus, they did nothave to pay any liabilities in US dollar. This was in contrast to thelarge enterprises which mostly had liability with the foreign banks orparties. They had responsibility to give payment in US dollar whichmeant that their liability amount rose parallel to the increasing of USdollar’s value. The flexibility of the SMEs in their working capitalside was one of their key factors in their survival from the crisis. TheSMEs do not rely on their all working capital on foreign debt, they usetheir own capital or may have debt from local sources.Actually the government has already established a new department inregard to the development of the SMEs. The department is under theMinistry of Coopertives and Small Enterprises which was establishedin 1993. This department has also issued some policies and strategicprograms for the development of the SMEs and the cooperatives sectorin Indonesia. The core objective of the establishment of this departmentwas to overcome the difficulties which were faced, either externally orinternally. However, the crisis effectively encouraged the governmentto give more attention to the SMEs. This was in terms of giving themmore opportunity to grow further to become strong large entities, ratherthan merely remaining at the small and medium stage. Another fact isthat the SMEs are able to provide wide job opportunities, whichIndonesia requires to deal with the increasing number of unemployment