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The R programming language, RStudio, and open-source software solutions for analysis of liquid chromatography-mass spectrometry (LC–MS) data have been used with user-written R-based custom quantification programs (CQP) for semi-quantification of triacylglycerols (TAGs) in bovine milk lipid extracts. Using the peak-finding capabilities of the package "xcms" in RStudio, peaks were integrated, and retention times aligned, normalized, and then used for semi-quantitative analysis of a custom set of four extraction internal standards (EISs) and 29 TAG regioisomers using the choice of four analytical internal standards (AISs). Alternating stereospecific numbering (sn) 1,3 TAG regioisomers (standards 1, 3, and 5 of six calibration standards) and sn-1,2 TAG regioisomers (standards 2, 4, and 6 of six standards) were used to make a set of six calibration standards, which were used for quantification using a linear fit model, polynomial fit model, power fit model, level-bracketed linear fit, replicate-bracketed polynomial fit, replicate-bracketed power fit, and replicate- and level-bracketed linear fit and response factors. For example, the linear fit for EIS1 gave an unacceptable coefficient of determination (CoD), r2 = 0.9616, whereas the polynomial fit gave r2 = 0.9908 and the power fit gave r2 = 0.9928, while the double-bracketed linear fit gave CoDs of r2 = 0.9960, 0.9848, and 0.9781 for the three brackets, yet gave the least % difference to known calibration concentrations. For unparalleled transparency, the CQP produced webpages that allowed every step in the data processing and quantification sequence to be verified and reproduced, and contained interactive figures. The data are publicly available using a digital object identifier (DOI). The R code can be downloaded and used with the downloadable data to reproduce the results, to modify the code and further customize the results, or to copy and paste and adapt the code to other quantification applications. [ABSTRACT FROM AUTHOR]

In 2016, a design for detecting harbor porpoises (Phocoena phocoena) in the Belgian part of the North Sea (BPNS) was developed in the framework of the LifeWatch project using Passive Acoustic Monitoring (PAM) loggers. In 2018, the network of deployments fully matured, and eight locations across the BPNS are presently housed with a C-POD (Chelonia Ltd., UK), a PAM logger moored on the seafloor using a multi-use platform. The PAM logger continuously listens for harbor porpoise click trains, but only stores the click parameters. This paper presents the generated data series of harbor porpoise click trains at a minute-resolution and the details on the individual click trains. The field recordings, methodology and processing are described, along with its data curation, integration and quality control. The data are annually published online in a standardized format, accompanied with the metadata description, and labelled with a digital object identifier for traceability. Data are published under a CC-BY license, allowing the use of data under the condition of providing reference to the original source. [ABSTRACT FROM AUTHOR]

This article explores the use of preprints in scientific research, which are preliminary versions of manuscripts that are shared on open access servers without peer review. It presents arguments both for and against using preprints, highlighting the benefits of speed, accessibility, and increased engagement, as well as concerns about trustworthiness and potential misinformation. The article provides practical guidance on posting, disclosing, updating, and citing preprints. While preprints are considered an important part of science communication and publication strategy, caution is advised in interpreting and sharing their results. The article also discusses the process of updating and linking preprints, as well as citing preprints in manuscripts. It emphasizes that final published versions and interim versions produced during peer review should not be posted on a preprint server, and provides recommendations for properly citing preprints. [Extracted from the article]

The article discusses the rapid changes in society brought about by technology and the internet. The author reflects on personal experiences, such as using audiotapes in the past and now streaming music through platforms like Spotify. They also highlight the integration of information technology into various fields, including medicine and biology. The article concludes with a personal anecdote about unexpectedly appearing on TV during a soccer game. The author emphasizes the importance of finding a balance between technology and personal connections. [Extracted from the article]

Scientific research is the tool that drives the development of society in all areas, and research articles are the primary means of disseminating advances in science and technology. The main way to identify a scientific article is through the persistent identifiers that journals assign to articles. There are a variety of persistent identifiers, with the digital object identifier being among the most widely used. The use and assignment of most persistent identifiers have an associated financial cost. Journals sometimes have difficulty covering this cost or transferring it to the authors of the articles, causing barriers to publishing scientific articles. This work aims to implement free persistent identifiers in a scientific journal management system. To accomplish this, software components for managing the persistent identifiers archival resource key and persistent uniform resource locator are implemented for the open journal system. The results of implementing these persistent identifiers in a scientific journal are analysed, and the implementation by the scientific community of 14 countries in 32 journals. Implementing free persistent identifiers in scientific journals allows for greater visibility and savings in publication costs. [ABSTRACT FROM AUTHOR]

The article is an editorial from the new Editor of the Journal of Sport and Exercise Psychology (JSEP), Ian D. Boardley. Boardley outlines his vision for the journal and expresses his gratitude to the previous editors for their contributions. He emphasizes the importance of maintaining strong links between JSEP and the North American Society for the Psychology of Sport and Physical Activity (NASPSPA) and discusses his plans to streamline the peer-review process and handle the increasing volume of qualitative research. Boardley also highlights the global coverage of JSEP and his ambitions to expand the geographical distribution of research published in the journal. Finally, he discusses the movement towards more transparent and reproducible scientific research practices and his intention to encourage and support these practices in JSEP. [Extracted from the article]

In this paper, the new dynamic geophysical and geochemical MUltiparametric DAtabase (MUDA) is presented. MUDA is a new infrastructure of the National Institute of Geophysics and Volcanology (INGV), published on-line in December 2023, with the aim of archiving and disseminating multiparametric data collected by multidisciplinary monitoring networks. MUDA is a MySQL relational database with a web interface developed in php, aimed at investigating in quasi real time possible correlations between seismic phenomena and variations in endogenous and environmental parameters. At present, MUDA collects data from different types of sensors such as hydrogeochemical probes for physical-chemical parameters in waters, meteorological stations, detectors of air Radon concentration, diffusive flux of carbon dioxide (CO2) and seismometers belonging both to the National Seismic Network of INGV and to temporary networks installed in the framework of multidisciplinary research projects. MUDA daily publishes data updated to the previous day and offers the chance to view and download multiparametric time series selected for different time periods. The resultant dataset provides broad perspectives in the framework of future high frequency and continuous multiparametric monitorings as a starting point to identify possible seismic precursors for short-term earthquake forecasting. MUDA is now quoted with the Digital Object Identifier https://doi.org/10.13127/muda (Massa et al., 2023). [ABSTRACT FROM AUTHOR]

We present the new Cloud Class Climatology (CCClim) dataset, quantifying the global distribution of established morphological cloud types over 35 years. CCClim combines active and passive sensor data with machine learning (ML) and provides a new opportunity for improving the understanding of clouds and their related processes. CCClim is based on cloud property retrievals from the European Space Agency's (ESA) Cloud_cci dataset, adding relative occurrences of eight major cloud types, designed to be similar to those defined by the World Meteorological Organization (WMO) at 1° resolution. The ML framework used to obtain the cloud types is trained on data from multiple satellites in the afternoon constellation (A-Train). Using multiple spaceborne sensors reduces the impact of single-sensor problems like the difficulty of passive sensors to detect thin cirrus or the small footprint of active sensors. We leverage this to generate sufficient labeled data to train supervised ML models. CCClim's global coverage being almost gapless from 1982 to 2016 allows for performing process-oriented analyses of clouds on a climatological timescale. Similarly, the moderate spatial and temporal resolutions make it a lightweight dataset while enabling straightforward comparison to climate models. CCClim creates multiple opportunities to study clouds, of which we sketch out a few examples. Along with the cloud-type frequencies, CCClim contains the cloud properties used as inputs to the ML framework, such that all cloud types can be associated with relevant physical quantities. CCClim can also be combined with other datasets such as reanalysis data to assess the dynamical regime favoring the occurrence of a specific cloud type in association with its properties. Additionally, we show an example of how to evaluate a global climate model by comparing CCClim with cloud types obtained by applying the same ML method used to create CCClim to output from the icosahedral nonhydrostatic atmosphere model (ICON-A). CCClim can be accessed via the following digital object identifier: 10.5281/zenodo.8369202. [ABSTRACT FROM AUTHOR]

The article discusses the concept of living guidelines for immune-mediated inflammatory diseases, which involve continually updating recommendations based on new evidence. The first living guideline published in the British Journal of Dermatology focuses on Behçet's disease, a challenging multi-organ inflammatory disorder. The approach aims to improve care for people with immune-mediated inflammatory diseases by incorporating new evidence, engaging stakeholders, and adapting recommendations over time. The article highlights the challenges and opportunities of this evolving guideline methodology, emphasizing the importance of transparency, engagement, and dissemination to ensure that evidence-based recommendations benefit those with significant health burdens. [Extracted from the article]

This article introduces the editorial board of the IEEE Technology & Society Magazine. The board members, Simon T. Powers and Pamela Tudge, discuss their work and research in the field of technology and society. Simon focuses on studying human social behaviors and developing sociotechnical systems to address social challenges, while Pamela examines the implications of technology in environmental and sustainability initiatives. They both emphasize the importance of aligning technology with the needs of communities and ensuring trustworthiness. The article also includes book and movie recommendations related to technology and society. [Extracted from the article]

Data curation has significant research implications irrespective of application areas. As most curated studies rely on databases for data extraction, the availability of data resources is extremely important. Taking a perspective from pharmacology, extracted data contribute to improved drug treatment outcomes and well-being but with some challenges. Considering available pharmacology literature, it is necessary to review articles and other scientific documents carefully. A typical method of accessing articles on journal websites is through long-established searches. In addition to being labor-intensive, this conventional approach often leads to incomplete-content downloads. This paper presents a new methodology with user-friendly models to accept search keywords according to the investigators' research fields for metadata and full-text articles. To accomplish this, scientifically published records on the pharmacokinetics of drugs were extracted from several sources using our navigating tool called the Web Crawler for Pharmacokinetics (WCPK). The results of metadata extraction provided 74,867 publications for four drug classes. Full-text extractions performed with WCPK revealed that the system is highly competent, extracting over 97% of records. This model helps establish keyword-based article repositories, contributing to comprehensive databases for article curation projects. This paper also explains the procedures adopted to build the proposed customizable-live WCPK, from system design and development to deployment phases.

When an academic paper is published in a journal that assigns a digital object identifier (DOI) to papers, this is a de facto fait accompli. Corrections or retractions are supposed to follow a specific protocol, especially in journals that claim to follow the Committee on Publication Ethics (COPE) guidelines. In this paper, we highlight a case of a new, fully open access neuroscience journal that claims to be COPE‐compliant, yet has silently retracted two papers since all records, bibliometrics, and PDF files related to their existence have been deleted from the journal's website. Although this phenomenon does not seem to be common in the neurosciences, we consider that any opaque corrective measures in journals whose papers could be cited may negatively impact the wider neuroscience literature and community. Instead, we encourage transparency in retraction to promote truthfulness and trustworthiness. [ABSTRACT FROM AUTHOR]

Background: Systematic reviews are viewed as the best study design to guide clinical decision-making as they are the least biased publications assuming they are well-conducted and include well-designed studies. Cochrane was initiated in 1993 with an aim of conducting high-quality systematic reviews. We aimed to examine the publication rates of non-Cochrane systematic reviews (henceforth referred to simply as "systematic reviews") and Cochrane reviews produced throughout Cochrane's existence and characterize changes throughout the period. Methods: This observational study collected data on systematic reviews published between 1993 and 2022 in PubMed. Identified Cochrane reviews were linked to data from the Cochrane Database of Systematic Reviews via their Digital Object Identifier. Systematic reviews and Cochrane reviews were analyzed separately. Two authors screened a random sample of records to validate the overall sample, providing a precision of 98%. Results: We identified 231,602 (94%) systematic reviews and 15,038 (6%) Cochrane reviews. Publication of systematic reviews has continuously increased with a median yearly increase rate of 26%, while publication of Cochrane reviews has decreased since 2015. From 1993 to 2002, Cochrane reviews constituted 35% of all systematic reviews in PubMed compared with 3.5% in 2013–2022. Systematic reviews consistently had fewer authors than Cochrane reviews, but the number of authors increased over time for both. Chinese first authors conducted 15% and 4% of systematic reviews published from 2013–2022 and 2003–2012, respectively. Most Cochrane reviews had first authors from the UK (36%). The native English-speaking countries the USA, the UK, Canada, and Australia produced a large share of systematic reviews (42%) and Cochrane reviews (62%). The largest publishers of systematic reviews in the last 10 years were gold open access journals. Conclusions: Publication of systematic reviews is increasing rapidly, while fewer Cochrane reviews have been published through the last decade. Native English-speaking countries produced a large proportion of both types of systematic reviews. Gold open access journals and Chinese first authors dominated the publication of systematic reviews for the past 10 years. More research is warranted examining why fewer Cochrane reviews are being published. Additionally, examining these systematic reviews for research waste metrics may provide a clearer picture of their utility. [ABSTRACT FROM AUTHOR]

Copyright of Revista Ibero-Americana de Ciência da Informação is the property of Revista Ibero-Americana de Ciencia da Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article acknowledges and thanks the reviewers who contributed their time to reviewing manuscripts for Proceedings of the Royal Society A in 2023. The journal values the efforts of the reviewers and includes their names in the article. Reviewers are encouraged to cite their contributions in applications for tenure, grants, or other research assessments. The Editors express their gratitude to all past, present, and future reviewers and appreciate their ongoing support. [Extracted from the article]

The article discusses the limitations and weaknesses of ChatGPT, a chatbot powered by artificial intelligence, in accurately responding to queries. It highlights errors, hallucinations, and biases present in ChatGPT's responses, emphasizing the challenges of relying on its information for health education. The text underscores the importance of understanding these inherent weaknesses when using ChatGPT as a source of healthcare information. [Extracted from the article]

This article discusses the importance of reproducibility in vegetation research and the role of data and code sharing in achieving this. The International Association for Vegetation Science (IAVS) has implemented a mandatory "Data Availability Statement" in the Journal of Vegetation Science (JVS) and Applied Vegetation Science (AVS) to improve transparency and reproducibility. The article examines the availability and accessibility of data and code in these journals over the past 10 years and finds a significant increase in data availability since 2019, while code availability has increased more slowly. The authors suggest that more information and training on data and code sharing practices could further improve reproducibility. They also acknowledge the need to consider issues of governance, protection of local community knowledge, and equity in data use. The text discusses two articles that were considered as award candidates for the Journal of Vegetation Science. The first article by Léo Delalandre and his co-authors examines the response of different plant groups to management intensification in Mediterranean rangelands. They found that annuals and perennials responded differently to the management gradient, highlighting the importance of considering different plant groups in studies of trait-environment relationships. The second article by Nicola Alessi and colleagues addresses the effects of probabilistic versus preferential sampling on analytical results in vegetation science. They compared two data sets of forest vegetation plots and found that probabilistic sampling was better for estimating species richness and diversity, while preferential sampling was better for detecting forest-specialist [Extracted from the article]

In recent years, there has been a major expansion in digital storage capability for hosting raw diffraction datasets. Naturally, the question has now arisen as to the benefits and costs for the preservation of such raw, i.e., experimental diffraction datasets. We describe the consultations made of the global structural chemistry, i.e., chemical crystallography community from the points of view of the International Union of Crystallography (IUCr) Committee on Data, of which JRH was the Chair until very recently, and the IUCrData Raw Data Letters initiative, for which LKB is the Main Editor. The monitoring by the CCDC of CSD depositions which cite the digital object identifiers of raw diffraction datasets provides interesting statistics by probe (x-ray, neutron, or electron) and by home lab vs central facility. Clearly, a better understanding of the reproducibility of current analysis procedures is at hand. Policies for publication requiring raw data have been updated in IUCr Journals for macromolecular crystallography, namely, that raw data should be made available for a new crystal structure or a new method as well as the wwPDB deposition. For chemical crystallography, such a step requiring raw data archiving has not yet been recommended by the IUCr Commission on Structural Chemistry. [ABSTRACT FROM AUTHOR]

We present our work to develop digital objects to represent and convey a specific category of scientific knowledge: computable biomedical knowledge (CBK). Properly developed, validated, implemented and stewarded, CBK has the potential to accelerate the translation of actionable knowledge from scientific discovery to clinical application. Our research takes an infrastructural approach to CBK, initially by focusing on the creation of a conceptual model for packaging computable biomedical knowledge - the Knowledge Object (KO) - and on corresponding efforts to create an architecture for KO management and implementation. Additionally, our work is grounded in the FAIR principles, such that KO artefacts should be findable, accessible, interoperable and reusable and we are exploring aligning KOs with emerging best practices for FAIR Digital Objects (FDO). The outcomes of this work resonate in clinical contexts, health professions education, healthcare quality improvement, biomedical and translational research and population care. Our KO model is also of interest to researchers and practitioners interested in knowledge science, including those working with semantic technologies and other forms of digital objects. [ABSTRACT FROM AUTHOR]

Paper recommendation with personalized methods helps researchers to track the latest academic trends and master cutting-edge academic trends efficiently. Meanwhile, the methods of previous paper recommendation suffer from three problems: data sparsity of content-based and collaborative filtering methods; Graph-based recommendations do not fully consider the personalized information of authors and their articles; Cold start based on deep learning. To overcome those difficulties, we propose a personalized paper recommendation method based on a knowledge graph and Transformer encoder (KGTE) with a self-attention mechanism. Firstly, we add auxiliary information (article title, publication year, citation times, and abstract) as attributes to the nodes of knowledge graph(KG), which contain author, digital object unique identifier(DOI) and keywords. Secondly, BERT is used to represent the semantic information features of the article and Transformer is introduced to fully integrate the feature context. After that, by using RippleNet, we traverse the knowledge graph, filter the user preference distribution and form a set of pre recommended nodes with multi_hop nodes. Finally, the prediction layer sorts the set and gets a Top_n paper recommendation. In the experiments on the DBLP and Aminer datasets, the precision value of KGTE improved by an average of 2.59% over the existing baseline methods DER and 4.23% improvement in NDCG. [ABSTRACT FROM AUTHOR]

Purpose: Science policy and practice for open access (OA) books is a rapidly evolving area in the scholarly domain. However, there is much that remains unknown, including how many OA books there are and to what degree they are included in preservation coverage. The purpose of this study is to contribute towards filling this knowledge gap in order to advance both research and practice in the domain of OA books. Design/methodology/approach: This study utilized open bibliometric data sources to aggregate a harmonized dataset of metadata records for OA books (data sources: the Directory of Open Access Books, OpenAIRE, OpenAlex, Scielo Books, The Lens, and WorldCat). This dataset was then cross-matched based on unique identifiers and book titles to openly available content listings of trusted preservation services (data sources: Cariniana Network, CLOCKSS, Global LOCKSS Network, and Portico). The web domains of the OA books were determined by querying the web addresses or digital object identifiers provided in the metadata of the bibliometric database entries. Findings: In total, 396,995 unique records were identified from the OA book bibliometric sources, of which 19% were found to be included in at least one of the preservation services. The results suggest reason for concern for the long tail of OA books distributed at thousands of different web domains as these include volatile cloud storage or sometimes no longer contained the files at all. Research limitations/implications: Data quality issues, varying definitions of OA across services and inconsistent implementation of unique identifiers were discovered as key challenges. The study includes recommendations for publishers, libraries, data providers and preservation services for improving monitoring and practices for OA book preservation. Originality/value: This study provides methodological and empirical findings for advancing the practices of OA book publishing, preservation and research. [ABSTRACT FROM AUTHOR]

Based on the notion of a FAIR Digital Object (FDO) record, which consists of key-value pairs as attributes that are precisely defined in a Data Type Registry and selected in a profile, we show three examples of FDOs from different viewpoints how FDO records can be implemented as Handle PID records. As references to the attribute definitions, the keys determine the value space of the attribute. In the first two examples, the profiles enable human-readable keys and legacy digital objects to be integrated into FDO records. How legacy metadata from IANA media types that can be transformed into structured metadata of appropriate attribute definitions that then can be applied in profiles and FDO records, is described in the third example. [ABSTRACT FROM AUTHOR]

For data information scientists, librarians and academics alike, it is a worrisome sign when information or a file opaquely disappears from the body of scientific literature, even more so when it carries a digital object identifier (DOI). This is because the DOI typically offers a published paper a form of digital permanence. Preprints are being increasingly fused into the publication stream, serving as a prelude to submission to a peer-reviewed journal. One of the main preprint servers is Elsevier's SSRN. This paper, a rare case study, describes three preprints by the same authors related to peer review that were withdrawn (i.e., retracted). Apart from a short notice with identical text ("This paper has been removed from SSRN at the request of the author, SSRN, or the rights holder"), no date of the withdrawals and no explanation were publicly provided. Following queries to the authors and SSRN, the three preprints were reinstated around February 2023. Finally, the original title of two of the preprints was manipulated in the reinstated preprints. This historical case study not only highlights the risks of opaque preprint withdrawals, but also the ease with which information on preprint servers (in this case SSRN) can be modified and/or manipulated. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to highlight the importance of open data and the role that knowledge management and open innovation can play in its identification and use. Open data has great potential to create social and economic value, but its main problem is that it is often not easily reusable. The aim of this paper is to propose a unique identifier for open data-sets that would facilitate search and access to them and help to reduce heterogeneity in the publication of data in open data portals. Design/methodology/approach: Considering a model of the impact process of open data reuse and based on the digital object identifier system, this paper develops a proposal of a unique identifier for open data-sets called Open Data-set Identifier (OpenDatId). Findings: This paper presents some examples of the application and advantages of OpenDatId. For example, users can easily consult the available content catalogues, search the data in an automated way and examine the content for reuse. It is also possible to find out where this data comes from, solving the problems caused by the increasingly frequent federation of data in open data portals and enabling the creation of additional services based on open data. Originality/value: From an integrated perspective of knowledge management and open innovation, this paper presents a new unique identifier for open data-sets (OpenDatId) and a new concept for data-set, the FAIR Open Data-sets. [ABSTRACT FROM AUTHOR]

Blockchain Enabled Open Ecological Data Utilising blockchain technology for open ecological data is likely to entail permissioned blockchain architecture which have important differences compared to their public counterparts. Blockchain Technology Trust, transparency and control are fundamental properties on which blockchain technologies have been designed. While the cryptocurrency network Bitcoin was the first widely accepted application of blockchain technology, Bitcoin and its high energy consumption should not be conflated with blockchain. [Extracted from the article]

Literature reviews are valuable for summarizing and evaluating the available evidence in various medical fields, including nephrology. However, identifying and exploring the potential sources requires focus and time devoted to literature searching for clinicians and researchers. ChatGPT is a novel artificial intelligence (AI) large language model (LLM) renowned for its exceptional ability to generate human-like responses across various tasks. However, whether ChatGPT can effectively assist medical professionals in identifying relevant literature is unclear. Therefore, this study aimed to assess the effectiveness of ChatGPT in identifying references to literature reviews in nephrology. We keyed the prompt "Please provide the references in Vancouver style and their links in recent literature on... name of the topic" into ChatGPT-3.5 (03/23 Version). We selected all the results provided by ChatGPT and assessed them for existence, relevance, and author/link correctness. We recorded each resource's citations, authors, title, journal name, publication year, digital object identifier (DOI), and link. The relevance and correctness of each resource were verified by searching on Google Scholar. Of the total 610 references in the nephrology literature, only 378 (62%) of the references provided by ChatGPT existed, while 31% were fabricated, and 7% of citations were incomplete references. Notably, only 122 (20%) of references were authentic. Additionally, 256 (68%) of the links in the references were found to be incorrect, and the DOI was inaccurate in 206 (54%) of the references. Moreover, among those with a link provided, the link was correct in only 20% of cases, and 3% of the references were irrelevant. Notably, an analysis of specific topics in electrolyte, hemodialysis, and kidney stones found that >60% of the references were inaccurate or misleading, with less reliable authorship and links provided by ChatGPT. Based on our findings, the use of ChatGPT as a sole resource for identifying references to literature reviews in nephrology is not recommended. Future studies could explore ways to improve AI language models' performance in identifying relevant nephrology literature. [ABSTRACT FROM AUTHOR]

The article focuses on the findings of a recent readership survey conducted by the periodical, which reaffirms the leading position among dental publications in Ireland. Topics discussed include dentists' preferences for print over online publication, and the global reach of its scientific content through platforms like Scholastica.

The article is a foreword for the journal "Aspeers," which focuses on publishing graduate-level scholarship in American studies in Europe. The foreword discusses the journal's routine and flexible elements in the publication process, as well as the demand for this type of scholarship. It also mentions the importance of reflecting different academic cultures and the need for human editors to ensure the quality and originality of published scholarship. The foreword concludes by highlighting the efforts of the editors in creating the current issue on the theme of 'time.' [Extracted from the article]

Purpose: The aim of this article is to systematically review articles and annual reports concerning young peoples’ physical activity (PA) and linking this to considerations of the state and national defense. Method: A systematic search of the literature included an analysis of publications accessible in global databases and other available books, student papers, and projects. The articles and reports were categorized based on year of publication, methods used, age of respondents, sample size, country, and digital object identifier (DOI). Results: The result of this search is an overview of the extent and manner in which the worldwide scientific community is addressing the current situation and the long-term development of the physical fitness of adolescents. This publication also maps to what extent professional publications and articles are addressing PA from the perspective of the needs of armies and armed forces of various countries around the world. Conclusions: The article provides a systematic overview of methods used to measure PA, and an overview of articles dealing with assessing PA. The examined articles indicate that from the perspective of not only national defense, but also health and overall quality of life, in particular, we need initiatives to encourage and motivate young people to increase their everyday PA. The research therefore also includes an overview of factors that may considerably influence PA. The results ascertained in this publication will be used, i.a. for investigating a longitudinal defense research project of the Ministry of Defense of the Czech Republic in which the authors are participating. [ABSTRACT FROM AUTHOR]

Maschinelle Verfahren als Instrumente, um die Open-Access-Transformation in Form von Publikationsdaten abzubilden, erfordern aufgrund enormer Datenvolumen strukturierte Datensätze, die eindeutig identifizierbar sind und sich vergleichen lassen. Zur Identifikation wissenschaftlicher und praxisorientierter Publikationen haben sich digital object identifier (DOI) durchgesetzt, doch längst nicht alle Publikationen sind damit ausgestattet. Anhand eines Datensamples der Pädagogischen Hochschule Zürich werden in dieser Studie ausgewählte Datenquellen für Monitoring-Verfahren analysiert, um Quoten für nicht-repräsentierte Publikationen zu berechnen und unbeabsichtigte Leerstellen sichtbar zu machen. Das Verstehen dieser Leerstellen eröffnet Lösungsansätze, wie diese vermieden werden können, um ein belastbares Open-Access-Monitoring sicherzustellen. Due to the enormous data volumes, monitoring methods as tools for representing the Open Access transformation in terms of publications require structured data sets that can be uniquely identified and compared. Digital object identifiers (DOI) have been established for the identification of scientific and practice-oriented publications, but certainly not all publications are endowed with them. Using a reasonable data sample from the University of Teacher Education Zurich, this study analyzes selected data sources for monitoring routines to calculate quotas for non-represented publications and to make unintentional empty spaces visible. This understanding of empty spaces opens approaches on how to avoid them to ensure resilient open access monitoring. [ABSTRACT FROM AUTHOR]

The article focuses on Scite.ai. Artificial intelligence is a tool that provides quantitative information about citation, enabling researchers to analyze scholarship reception and replicability. It reports "smart citations" by ingesting articles with digital object identifiers (DOIs), matching them against the Crossref database, and assessing citation intent using machine learning. It mentions that it covers millions of articles with DOIs, comparable to the Web of Science and Google Scholar.

Agile Project Management is a topic that has become popular both in business and academia, since the publication of the Agile Manifesto - a historic landmark in this subject. In the next 20 years, there was a relevant scientific production that must be analyzed to provoke reflection about the knowledge built up in this period. In this sense, this study aims to analyze the relevant scientific literature on Agile Project Management through a systematic review and a bibliometric analysis of articles published in scientific journals with Digital Object Identifier, in English, from the Web of Science and Scopus databases, from 2001 to 2021. The research results enable us to gain insights into the characteristics of this knowledge domain, regarding its volume and evolutionary trend, main contributors (i.e. scientific journals, authors, and their affiliations), main studies, methods used, and its central thematic axes. [ABSTRACT FROM AUTHOR]

The article presents issue 49 of the magazine "Derechos y Libertades," which includes a reply from Professor Tommaso Greco regarding his book "El Derecho de la confianza" (The Law of Trust). It also includes the presentations given at a seminar on philosophy of law and human rights in the thought of Gregorio Peces-Barba. The importance of promoting human rights in Latin America is highlighted, as well as the limited reception of Peces-Barba's proposal in the French academic scene. Additionally, topics such as the right to freedom of expression for judges and magistrates, the situation of domestic and care workers in Spain, racial desegregation in US schools, accessibility in social services for people with disabilities, and access to justice and peace in the United Nations' 2030 agenda are addressed. The article titled "Francisco Javier Ansuátegui Roig" is a publication in the magazine "Derechos y Libertades," issue 49 of the second era, in June 2023. The author, Francisco Javier Ansuátegui Roig, is the director of the magazine. The article has a DOI (Digital Object Identifier) identifier, which is https://doi.org/10.20318/dyl.2023.7715. [Extracted from the article]

In this paper, we investigated the applicability of ChatGPT AI in electronics research and development via a case study of applied sensors in embedded electronic systems, a topic that is rarely mentioned in the recent literature, thus providing new insight for professionals and academics. The initial electronics-development tasks of a smart home project were prompted to the ChatGPT system to find out its capabilities and limitations. We wanted to obtain detailed information on the central processing controller units and the actual sensors usable for the specific project, their specifications and recommendations on the hardware and software design flow additionally. Furthermore, an extensive literature survey was requested to see if the bot could offer scientific papers covering the given topic. It was found that the ChatGPT responded with proper recommendations on controllers. However, the suggested sensor units, the hardware and software design were only partially acceptable, with occasional errors in specifications and generated code. The results of the literature survey showed that non-acceptable, fabricated citations (fake authors list, title, journal details and DOI—Digital Object identifier) were presented by the bot. The paper provides a detailed qualitative analysis, a performance analysis and critical discussion of the aforementioned aspects while providing the query set, the generated answers and codes as supplied data with the goal to give added value to electronics researchers and developers if trying to reach out for the tools in their profession. [ABSTRACT FROM AUTHOR]

The article lists the names of reviewers who has contributed their time to the Proceedings B journal throughout 2022 including Aanen D, Ashby B, and Bentz A.

Abstract The objective of this study was to assess how 14 large and established scientific publishers have adopted the use of preprints and how their policies changed in a one-year period between June 2017 and June 2018, if any. The core search was performed using the Sherpa/RoMEO database. Of all publishers (2516, now 2553) listed in the RoMEO database, 80.3% of the publishers examined allow self-archiving, but only half of the publishers (47.3%) allow the archiving of preprints in February of 2018, while this percentage increased to 48% in June 2018. These data were practically constant over a one-year period even as the number of preprint servers has increased. Several exceptions exist among journals within each of the tested Sherpa/RoMEO-indexed publishers, and in some cases, a reversal in policy was observed, i.e., from allowing to no longer allowing the archival of preprints. [ABSTRACT FROM AUTHOR]

Digital Object Identifier 10.1109/ TSM. 2024.3411140Authorized licensed use limited to the terms of the applicable license agreement with IEEE. Restrictions apply. Authorized licensed use limited to the terms of the applicable license agreement with IEEE. Restrictions apply. [Extracted from the article]

Digital Object Identifier 10.1109/ TSM. 2024.3442019Authorized licensed use limited to the terms of the applicable license agreement with IEEE. Restrictions apply. Authorized licensed use limited to the terms of the applicable license agreement with IEEE. Restrictions apply. [Extracted from the article]

The International Journal of Positivity & Well-Being has published its second issue for the year 2024. The journal is committed to scientific rigor and aims to contribute to the field of well-being. They prioritize accessibility by registering with the Digital Object Identifier (DOI) system and being indexed in databases such as EBSCO and DOAJ. The journal values the efforts of authors and provides prompt review feedback. The current issue features high-quality international articles. The editor expresses gratitude to colleagues and looks forward to continued support and interest in the journal. [Extracted from the article]

The term "papilledema" is often misused in different ways when describing nonintracranial pressure–related optic disc edema (ODE) or on fundoscopic examination. However, the extent of these errors is unknown among case reports. "Papilledema" refers to ODE secondary to raised intracranial pressure (ICP). Papilledema is a leading reason for referral to neuro-ophthalmologists. In any specialty setting, papilledema must be distinguished from other causes of ODE because it implies a unique pathophysiology and management strategy. If managed inappropriately, papilledema may cause permanent vision loss. Cross-sectional evidence-based study with protocol registered on Open Science Framework (digital object identifier: 10.17605/OSF.IO/BUQS3). From Ovid MEDLINE and EMBASE, we included case reports with "papilledema" in their title, abstract, or article keywords between January 2011 and March 2022. Studies were graded for the following errors: type 1 (using "papilledema" without evidence of elevated ICP), type 2 (declaring "papilledema" on examination before finding evidence of elevated ICP), type 3 (both errors type 1 and 2), or no error. Among 722 case reports, there was a total of 482 errors (66.8%). There were 12 type 1 errors, 360 type 2 errors, 110 type 3 errors, and 240 studies with no errors. Ophthalmology, neurology, and neurosurgery were the most represented fields, yet only ophthalmology had a low prevalence of errors among all specialties. Regardless, all specialties with at least 10 included reports had a high error prevalence (>30%). Reduced error prevalence was significantly associated with higher impact factor journals, non–open-access publication models, and origin countries with an English official language. Error prevalence was not significantly associated with publication year. Also, the relationship between article citation counts and the prevalence of any type of error did not reach significance. Risk of bias analysis indicated that error occurrence was unrelated to the quality of case report study design. "Papilledema" is widely misused even among ophthalmology case reports. When allowed to propagate, this error can mislead care delivery to patients with ODE. Our results, although limited to case reports, indicate a need for more thorough peer-review standards and neuro-ophthalmology exposure in medical education. [ABSTRACT FROM AUTHOR]

This research study focuses on the Library and Information Science (LIS) journals listed in UGC-CARE between June 2019 and July 2023, with the purpose of offering valuable insights to researchers and practitioners in the field. The study employs a comprehensive data collection methodology, involving systematic review from academic databases, journal publishers' websites, and UGC CARE's official records. The selected journals are categorized based on various aspects, including publishers, geographical distribution, frequency of publication, publication language, ISSN/E-ISSN, Article Processing Charges (APCs), Open Access status, citation styles, and the availability of Digital Object Identifiers (DOIs) and Creative Commons Licences. Notably, the study excludes UGC-CARE List Group II journals and discontinued or delisted journals to ensure the accuracy and relevance of the findings. The research aims to empower scholars by providing them with crucial information for making informed decisions about selecting appropriate journals for publication, thereby enhancing accessibility and dissemination of knowledge within the LIS academic community. However, the study acknowledges its limitation, as it focuses on a specific time frame and excludes certain journal categories, but it offers valuable insights for the advancement of research in Library and Information Science. [ABSTRACT FROM AUTHOR]

Vinyard and Colvin demonstrate their radical helpfulness by including a chapter for fellow librarians on how to develop and sustain institutional metrics services. In describing altmetrics as "the Wild West of scholarly metrics" (65), Vinyard and Colvin also acknowledge the constantly evolving nature of the field: 'Undoubtedly, new metrics will be created after this book is published' (67). [Extracted from the article]

Nature Communications published a correction notice for the article "Unsupervised classification of brain-wide axons reveals the presubiculum neuronal projection blueprint." The correction added a statement acknowledging the availability of digital object identifiers in the Source Data Supplement file for the Janelia MouseLight dataset. The correction also included the addition of the digital object identifier Source Data Supplement file for the Janelia MouseLight dataset. The authors of the article are Diek W. Wheeler, Shaina Banduri, Sruthi Sankararaman, Samhita Vinay, and Giorgio A. Ascoli. [Extracted from the article]

The article titled "Call for Papers: IEEE ETHICS-2025" discusses the theme of the 2025 IEEE ETHICS conference, which is "Emerging Technologies, Ethics, and Social Justice." The conference aims to explore various topics related to the ethical and social implications of emerging technologies, such as automation, AI ethics, social innovation, and the future of work. It also highlights the connection between emerging technologies and UN Sustainable Development Goals, as well as the importance of teaching AI ethics. The article provides information on the submission deadline for papers and poster abstracts. [Extracted from the article]