ProQuest Historical Newspapers: Leftist Newspapers and Periodicals

ProQuest Historical Newspapers: Leftist Newspapers and Periodicals is a source for leftist publications (mostly newspapers), largely published in the twentieth century. Here, the user can access articles in PDF format from 156 national and international publications. Navigating this database and the documents therein can be easily done, but articles cannot be magnified or reduced, which may prove problematic with PDFs of old newspapers. Database content can be found through browsing or by using a basic and/or advanced search. The browse and basic search options here are understandable, but the advanced search is not self-explanatory and can possibly confuse the user. As a consequence, a new user of this database will probably benefit from instruction in its use from either the vendor or someone else familiar with this resource. However, when this search function is used properly it can produce numerous, on-point results for any query. The same is true of the basic search and browsing features, though they tend to produce larger lists of results that are less on-point than the advanced search. The vendor did not provide specific price information for this review, only indicating that pricing is determined by an institution's size and number of users. As this provides potential subscribers with very little insight into the cost of acquiring this resource, its advised that they contact ProQuest for a price quote tailored to their own institution. Its licensing agreement is the same as those used for all ProQuest databases and is average in its composition (though somewhat longer than average). The quality and quantity of content in this resource is notable, and it will certainly be of use to those looking for articles from leftist newspapers and periodicals. However, the definition of “leftist” here may be problematic for some users! Communist and Socialist publications are certainly available in this database, but those for Anarchists, Social Democrats, and other leftists are not.

RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases

Text-to-SQL is the problem of converting a user question into an SQL query, when the question and database are given. In this paper, we present a neural network approach called RYANSQL (Recursively Yielding Annotation Network for SQL) to solve complex Text-to-SQL tasks for cross-domain databases. Statement Position Code (SPC) is defined to transform a nested SQL query into a set of non-nested SELECT statements; a sketch-based slot filling approach is proposed to synthesize each SELECT statement for its corresponding SPC. Additionally, two input manipulation methods are presented to improve generation performance further. RYANSQL achieved competitive result of 58.2% accuracy on the challenging Spider benchmark. At the time of paper submission (April 2020), RYANSQL v2, a variant of original RYANSQL, is positioned at 3rd place among all systems and 1st place among the systems not using database content with 60.6% exact matching accuracy. The source code is available at https://github.com/kakaoenterprise/RYANSQL.

The Polito Surface Wave flat-file Database (PSWD): statistical properties of test results and some inter-method comparisons

The compilation and maintenance of experimental databases are of crucial importance in all research fields, allowing for researchers to develop and test new methodologies. In this work, we present a flat-file database of experimental dispersion curves and shear wave velocity profiles, mainly from active surface wave testing, but including also data from passive surface wave testing and invasive methods. The Polito Surface Wave flat-file Database (PSWD) is a gathering of experimental measurements collected within the past 25 years at different Italian sites. Discussion on the database content is reported in this paper to evaluate some statistical properties of surface wave test results. Comparisons with other methods for shear wave velocity measurements are also considered. The main novelty of this work is the homogeneity of the PSWD in terms of processing and interpretation methods. A common processing strategy and a new inversion approach were applied to all the data in the PSWD to guarantee consistency. The PSWD can be useful for further correlation studies and is made available as a reference benchmark for the validation and verification of novel interpretation procedures by other researchers.

How to become a pastry chef: a statistical analysis through the company requirements

The definition of requested requirements by the companies represents one of the key aspects for the entrance of new professional figures. In particular, focusing the attention on food & beverage sector, in this study two job profiles are considered: pastry chef e pastry assistant. Data for this analysis are collected by The AdeccoGroup in Italy in 2016 and 2017. The personal competencies to make capable to face the growing flexibility of the profession are object of specified request cross-sectional to more economic sectors. After a brief description of the database content, the principal objective of the research is to report the most requested requirements for the companies. Other analysis are provided to show possible relationships among these requirements and the previous experience owned by candidates. Finally, a comparison is presented about the competencies requested by the two job figures using descriptive statistics and classification techniques.

A Metodologia de Estudo de Caso pode ser aplicada a nível da Saúde Ocupacional?

Introduction / background / objectives Among Occupational Health professionals (especially doctors), there may be a confusion of concepts between the Clinical Case (generally used for educational purposes) and the Case Study methodology. The aim of this informal review was to understand the basic principles of this form of investigation and whether it can be adapted to assess some issues encompassed in Occupational Health. Methodology This is a Bibliographic Review, initiated through a research carried out in October 2020, in the RCAAP database. Content All phenomena contain qualitative and quantitative details. When analyzing reality, it can be considered as a totality or as being made up of a series of units and each one may have a different strategy for data collection. Case study can be defined as an empirical investigation that analyzes a contemporary phenomenon within its real-life context, especially when the boundaries between the phenomenon and the context are not clearly defined. It is a comprehensive research strategy. It is the preferred methodology when asking “how” and “why” questions, when the researcher has little control over events and/ or cannot associate relevant behaviors. Case Studies can clarify a decision, how it was implemented and/ or its results. It is a mean of organizing data, preserving the object studied and its unitary character; it can be a detailed description of a situation- the goal is not to represent the world, but the case. It usually leads to a more accurate understanding of the conditions under which the phenomenon occurred. Conclusions The Case Study may have applicability in some situations of Occupational Health, so it should be an option to consider during some investigations.

Patients’ Priorities and Expectations on an EU Registry for Rare Bone and Mineral Conditions

BackgroundUnderstanding the natural history of rare bone and mineral conditions is essential for improving clinical practice and the development of new diagnostics and therapeutics. Recruitment and long-term participation in registries are key challenges for researchers. To understand the user needs, the European Reference Network on Rare Bone Diseases (ERN BOND) and European Patient Advocacy Groups developed and implemented a multinational survey about the patient’s preferred database content and functionality. Findings were analysed using descriptive statistics and regression methods.ResultsThere were 493 eligible responses from 378 adults, 15 children and 100 parents, guardians or carers (PGC) across 22 rare bone and mineral conditions. Osteogenesis imperfecta constituted 53.4% of responses. Contents related to improving treatment and medical services scored the highest and contents about anxiety and socializing scored less highly. Additional content was recommended by 205 respondents. Respondents preferred data entry by their Healthcare Provider (HCP). However, less than 50% of adults received followup from their specialist HCP at least annually and 29% were followed up as needed. ConclusionsThis survey of individuals, their family, guardians and carers has prioritised the key components for an EU-based rare bone and mineral condition research database. The survey highlights issues around collecting psychosocial impacts as well as measures of HCP trust. The survey demonstrated that using only specialist centre visits for data collection, while preferred by patients, will miss a substantial number of individuals, limiting generalisability. Combined HCP and patient platforms will be required to collect representative and complete natural history data for this patient group.

MetamORF: A repository of unique short Open Reading Frames identified by both experimental and computational approaches for gene-level and meta-analysis

ABSTRACTThe development of high-throughput technologies revealed the existence of non-canonical short open reading frames (sORFs) on most eukaryotic RNAs. They are ubiquitous genetic elements highly conserved across species and suspected to be involved in numerous cellular processes. MetamORF (http://metamorf.hb.univ-amu.fr/) aims to provide a repository of unique sORFs identified in the human and mouse genomes with both experimental and computational approaches. By gathering publicly available sORF data, normalizing it and summarizing redundant information, we were able to identify a total of 1,162,675 unique sORFs. Despite the usual characterization of ORFs as short, upstream or downstream, there is currently no clear consensus regarding the definition of these categories. Thus, the data has been reprocessed using a normalized nomenclature. MetamORF enables new analyses at loci, gene, transcript and ORF levels, that should offer the possibility to address new questions regarding sORF functions in the future. The repository is available through an user-friendly web interface, allowing easy browsing, visualization, filtering over multiple criteria and export possibilities. sORFs could be searched starting from a gene, a transcript, an ORF ID, or looking in a genome area. The database content has also been made available through track hubs at UCSC Genome Browser.

The InterPro protein families and domains database: 20 years on

The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. InterProScan is the underlying software that allows protein and nucleic acid sequences to be searched against InterPro's signatures. Signatures are predictive models which describe protein families, domains or sites, and are provided by multiple databases. InterPro combines signatures representing equivalent families, domains or sites, and provides additional information such as descriptions, literature references and Gene Ontology (GO) terms, to produce a comprehensive resource for protein classification. Founded in 1999, InterPro has become one of the most widely used resources for protein family annotation. Here, we report the status of InterPro (version 81.0) in its 20th year of operation, and its associated software, including updates to database content, the release of a new website and REST API, and performance improvements in InterProScan.

Librarian integration into health care conferences: a case report

Background: Health care continuing education conferences are important educational events that present opportunities for structured learning, interactive sharing, and professional networking. Conference presenters frequently cite published literature, such as clinical trials, to supply an evidence-based foundation, with presenters’ slides often shared with conference attendees. By using social media, these conferences can have greater impact, assist in supporting evidence-based clinical practice, and increase stakeholder engagement.Case Presentation: The authors present a case of embedding a health sciences librarian into the Annual Johns Hopkins Critical Care Rehabilitation Conference. The librarian served multiple roles, including social media ambassador, conference exhibitor, and presenter. We explore how these roles contributed to the field of early rehabilitation research through information dissemination and education. We also address best practices for librarian support of the conference, with a discussion of tools, platforms, and work flows that were beneficial.Conclusions: Librarian integration facilitated education about bibliographic literature database content, database searching, critical appraisal, and reporting of search methodology. Additionally, the librarian contributed to real-time distribution of scholarly literature through proficiency with web platforms, citation management programs, and social media. Librarians’ expertise in information organization and dissemination, as well as various technology platforms, make them a valuable addition to health care conferences. This article has been approved for the Medical Library Association’s Independent Reading Program.

Haar Wavelet Untuk Ekstraksi Fitur Energi, Standar Deviasi, Dan Histogram Dalam Sistem Temu Kembali Citra

Image retrieval initially uses a query in the form of text to search for images in the database. Image search using text query has a weakness because of the limited description of information stored or given by humans to the metadata on an inconsistent image that greatly affects the duration of searching an image in a database. Content based image retrieval (CBIR) is an image processing application to find the image sought in a large image database based on a query or user request. CBIR technique utilizes features that exist in images, namely color, texture, and shape. These features will be used as a basis for searching images in an image database. In this study the authors used the Haar wavelet method and histogram to look for texture and color features in the image. Then the features found are matched with features stored in the database using the Euclidian distance method. In this study the authors used the Corel dataset as research material. The dataset used is classified into 3 categories: bus, animal and sunset. Each category consists of 100 images where 70% are training images and 30% are test images.