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The goal of this study is to revisit and contrast the original data from a previous publication entitled, "School Library eBook Providers and Spanish Language Equity: An Analysis of eBook Collections Available to School Libraries." The original study examined the collections of eBooks in Spanish provided by vendors of library resources to school libraries to determine if there are equitable offerings of eBooks in Spanish relative to the Spanish-speaking school population in the United States. The processes in that study were replicated where possible and expanded upon for shared understanding. [ABSTRACT FROM AUTHOR]

If school library collections must meet the needs of the communities they serve, the native languages of the student population must be an important consideration when making purchasing decisions about eBooks. Many professionals in the library community believe that materials in electronic format have the potential to enrich library collections with linguistic diversity. To ensure that school library collections reflect the linguistic diversity of the community, as school library professionals we need to gain a better understanding of what resources are available for our students in digital format. Recent studies indicate that eBooks available from vendors to schools libraries do not meet the linguistic needs of children whose native language is not English. Several international organizations have recognized this issue and are developing initiatives to resolve the growing digital and linguistic divide. [ABSTRACT FROM AUTHOR]

Large archival collections, such as email or government documents, must be manually reviewed to identify any sensitive information before the collection can be released publicly. Sensitivity classification has received a lot of attention in the literature. However, more recently, there has been increasing interest in developing sensitivity-aware search engines that can provide users with relevant search results, while ensuring that no sensitive documents are returned to the user. Sensitivity-aware search would mitigate the need for a manual sensitivity review prior to collections being made available publicly. To develop such systems, there is a need for test collections that contain relevance assessments for a set of information needs as well as ground-truth labels for a variety of sensitivity categories. The well-known Enron email collection contains a classification ground-truth that can be used to represent sensitive information, e.g., the Purely Personal and Personal but in Professional Context categories can be used to represent sensitive personal information. However, the existing Enron collection does not contain a set of information needs and relevance assessments. In this work, we present a collection of fifty information needs (topics) with crowdsourced query formulations (3 per topic) and relevance assessments (11,471 in total) for the Enron collection (mean number of relevant documents per topic = 11, variance = 34.7). The developed information needs, queries and relevance judgements are available on GitHub and will be available along with the existing Enron collection through the popular ir_datasets library. Our proposed collection results in the first freely available test collection for developing sensitivity-aware search systems.

Shadow libraries, also known as ''pirate libraries'', are online collections of copyrighted publications that have been made available for free without the permission of the copyright holders. They have gradually become key players of scientific knowledge dissemination, despite their illegality in most countries of the world. Many publishers and scientist-editors decry such libraries for their copyright infringement and loss of publication usage information, while some scholars and institutions support them, sometimes in a roundabout way, for their role in reducing inequalities of access to knowledge, particularly in low-income countries. Although there is a wealth of literature on shadow libraries, none of this have focused on its potential role in knowledge dissemination, through the open access movement. Here we analyze how shadow libraries can affect researchers' citation practices, highlighting some counter-intuitive findings about their impact on the Open Access Citation Advantage (OACA). Based on a large randomized sample, this study first shows that OA publications, including those in fully OA journals, receive more citations than their subscription-based counterparts do. However, the OACA has slightly decreased over the seven last years. The introduction of a distinction between those accessible or not via the Scihub platform among subscription-based suggest that the generalization of its use cancels the positive effect of OA publishing. The results show that publications in fully OA journals are victims of the success of Sci-hub. Thus, paradoxically, although Sci-hub may seem to facilitate access to scientific knowledge, it negatively affects the OA movement as a whole, by reducing the comparative advantage of OA publications in terms of visibility for researchers. The democratization of the use of Sci-hub may therefore lead to a vicious cycle, hindering efforts to develop full OA strategies without proposing a credible and sustainable alternative model for the dissemination of scientific knowledge., Comment: Scientometrics, 2023. arXiv admin note: substantial text overlap with arXiv:2206.06874

The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition. However, not much attention has been paid on studying the handwritten text written in the margins, i.e. marginalia, that also forms an important source of information. Nevertheless, training an accurate and robust recognition system for marginalia calls for data-efficient approaches due to the unavailability of sufficient amounts of annotated multi-writer texts. Therefore, this work presents an end-to-end framework for automatic detection and recognition of handwritten marginalia, and leverages data augmentation and transfer learning to overcome training data scarcity. The detection phase involves investigation of R-CNN and Faster R-CNN networks. The recognition phase includes an attention-based sequence-to-sequence model, with ResNet feature extraction, bidirectional LSTM-based sequence modeling, and attention-based prediction of marginalia. The effectiveness of the proposed framework has been empirically evaluated on the data from early book collections found in the Uppsala University Library in Sweden. Source code and pre-trained models are available at Github.

The article focuses on helping people find military service records, awards, and unit histories with thorough information on how to access various sources, such as personnel files at the National Archives, and ways to receive military awards. Topics include receiving military awards and decorations through the National Personnel Records Center and other pertinent authorities, accessing military service records and pension files, and navigating the corrections process.

There is a wealth of data on air pollution within several users' reach, including modelled concentrations and depositions as well as observations from air quality stations. However, data integration to perceive spatial and temporal trends at the national level is a complex undertaking. The difficulties are mainly related to the data sources (many files with a lot of information and in different formats). In addition, the processing of this data is time-consuming and impractical when the time period under analysis increases. Furthermore,the processing of spatial-temporal data requires the use of multiple specific tools, such as geographic information systems software and statistical, which are not readily accessible to non-specialised users. The proposed solution is to develop libraries that are responsible for aggregating different types of data related with pollution. In addition to allowing the integration of different data, the libraries are also the basis for developing web applications. The libraries allow the collection of data made available by the Portuguese Environment Agency (APA) and official modelling results for Europe. The applications developed will extend the libraries to allow data processing and representation through Dashboards. These Dashboards provide access to non-specialised users, namely regarding the trends of pollutants in each region. The implemented libraries allow the development of projects that would need access to the same data sources. These Dashboards allow for simplified access to data and for studies that have so far been beyond the reach of researchers.

Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks. \textit{Transformers} is an open-source library with the goal of opening up these advances to the wider machine learning community. The library consists of carefully engineered state-of-the art Transformer architectures under a unified API. Backing this library is a curated collection of pretrained models made by and available for the community. \textit{Transformers} is designed to be extensible by researchers, simple for practitioners, and fast and robust in industrial deployments. The library is available at \url{https://github.com/huggingface/transformers}., Comment: 8 pages, 4 figures, more details at https://github.com/huggingface/transformers

The article discusses the historical evolution of internet regulation in the United States, particularly during the 1990s when the government favored limited oversight and encouraged self-regulation by the private sector. It outlines key federal statutes related to the internet, such as the Telecommunications Act of 1996 and the Communications Decency Act, including the influential Section 230.

The article focuses on Department of the Interior's (DOI's) Payments in Lieu of Taxes program provides compensation for certain tax-exempt federal lands, known as entitlement lands. It mentions PILT entitlement lands include lands administered by the Bureau of Land Management, the National Park Service, the U.S. Fish and Wildlife Service. It also mentions U.S. Forest Service in the Department of Agriculture; federal water projects; some military installations and selected other lands.

Members of Congress frequently receive requests from grantseekers needing funds for projects in districts and states. In considering a response, a congressional office might first determine its policies and procedures regarding appropriate assistance to give constituents, such as when to provide information on grants programs or active advocacy of projects. Each office handles grants requests in its own way, depending upon the Member’s legislative agenda and overall organization and workload of office staff. As for staffing, there may be a full-time grants specialist or several staff members under the supervision of a grants coordinator working solely in the area of grants and projects. In some offices, all grants requests are handled in the district or state office; in others, they are answered by Capitol Hill staff. Offices may encourage congressional grants staff to learn about the grants process themselves and identify practices, in accordance with office policies, that may assist grantseekers at each step in the process. To learn about grants work, congressional staff can use CRS reports to identify potential sources of information for government and private funding and for details on selected grants programs. In addition to the current report, reports on grants work include CRS Report RL34012, Resources for Grantseekers; and CRS Report RL32159, How to Develop and Write a Grant Proposal. CRS also offers reports on block grants and the appropriations process; federal assistance for homeland security and terrorism preparedness; and federal programs on specific subjects and for specific groups, such as state and local governments, police and fire departments, libraries and museums, nonprofit organizations, small business, and other topics. To educate constituents, a congressional office may provide selected grantseekers information on funding programs or may sometimes sponsor workshops on federal and private assistance. Because most funding resources are on the internet, Member home pages can also link to grants sources, such as Assistance Listings at SAM.gov and Grants.gov, so that constituents can search for grants programs and funding opportunities. The CRS web page, Grants and Federal Domestic Assistance (see sample Member Grants Page), can be added to a Member’s home page upon request and is updated automatically on House and Senate servers. Another CRS resource, Grants and Federal Assistance, covers key CRS products. To help communicate office policies and procedures, respond to frequent grants questions, and train new congressional staff, a congressional office may consider developing an internal grants manual. In addition to a single place to locate grants-related office policies and procedures, a grants manual may include templates for letters of support, instructional tools for new staff, and lists of local contacts. With reductions in federal programs, and with most government grants requiring matching funds, local contacts could include private or corporate foundations that may serve as alternatives or supplements to federal grants. This report will be updated at the beginning of each Congress and as needed. [ABSTRACT FROM AUTHOR]

The article presents a report from the U.S. Congressional Research Service on federal grants. Topics discussed include alternative funding options for grant seekers, such as loans or assistance programs; provides sources for identifying federal grants and private foundation funding; and report provides an overview of the grant process, eligibility for federal grants, and includes additional resources for writing grant proposals.