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Urdu corpus linguistics is in its infancy, partly because the field lacks large, openly and freely accessible corpora. General purpose Urdu corpora created to date are unsuitable as shared reference data for the field due to barriers of cost or copyright. The novel Lancaster Urdu Web Corpus (luwc) is designed to fill this gap. It encompasses data from three news websites and an online chat forum. The corpus contains 24 million tokens, and is part-of-speech (pos) tagged. To overcome problems with distributing a corpus whose texts' intellectual property belongs to other parties, the luwc is available through a cqpweb server, disallowing access to full underlying data. However, the accessibility of source urls as text-level metadata gives users a means by which to see the full original context. In spite of issues of balance/representativeness the luwc can fulfil the role of a shared reference point for Urdu corpus analysis. [ABSTRACT FROM AUTHOR]

Objectives: Clinical microbiologists require easy-to-use open access tools with graphical interfaces to perform bacterial whole-genome sequencing (WGS) in routine practice. This study aimed to build a bioinformatics pipeline on the open-source Galaxy platform, facilitating comprehensive and reproducible analysis of bacterial WGS data in a few steps. We then used it to characterize our local epidemiology of ESBL-producing Enterobacterales isolated from patients with bacteremia. Methods: We built a bioinformatics pipeline consisting of the following sequential tools: Fastp (input data trimming); FastQC (read quality control); SPAdes (genome assembly); Quast (quality control of genome assembly); Prokka (gene annotation); Staramr (ResFinder database) and ABRicate (CARD database) for antimicrobial resistance (AMR) gene screening and molecular strain typing. Paired-end short read WGS data from all ESBL-producing Enterobacterales strains isolated from patients with bacteremia over one year were analysed. Results: The Galaxy platform does not require command line tools. The bioinformatics pipeline was constructed within one hour. It only required uploading fastq files and facilitated systematization of de novo assembly of genomes, MLST typing, and AMR gene screening in one step. Among the 66 ESBL-producing strains analysed, the two most frequent ESBL genes were blaCTX−M-15 (62.1%) and blaCTX−M-27 (13.6%). Conclusions: The open-access Galaxy platform provides a graphical interface and easy-to-use tools suitable for routine use in clinical microbiology laboratories without bioinformatics specialists. We believe that this platform will facilitate fast and low-cost analysis of bacterial WGS data, especially in resource-limited settings.

Background Hybrid and gold open-access (OA) are the most common publishing models. The latter requires fees to allow full-text visibility upon publishing, whereas hybrid journals offer the option to publish gold OA or for free (subscription-based) where only users with access can get the full-text. We aimed to evaluate the impact of the publishing model and other factors on medical journals’ impact. Methods A sample of hybrid and gold OA medical journals indexed in Web of Science (WOS) and Scopus were included. The effect of the publishing model and other factors on journals’ impact factor (IF), CiteScore, quartile, and number of citations was assessed. Results 402 journals were included, 201 in each group. Hybrid and gold OA journals had a median age of 32 and 21 years, respectively ( PP>0.05). However, gold OA model wasn’t significantly associated with Q1 ranking in Scopus (OR, 0.49; 95% CI, 0.25-0.94; P=0.032), which indicates that hybrid journals were more likely to have such ranking. Conclusion These findings indicate that gold OA publishing doesn’t necessarily result in higher impact, which contradicts the claim that such model enhances citations. Therefore, authors can continue to publish in hybrid journals without being concerned about getting cited. Gold OA journals are encouraged to reduce their fees to facilitate global research access.

Conservation literature addresses a broad spectrum of interdisciplinary questions and benefits. Conservation science benefits most when a diverse range of authors are represented, particularly those from countries where much conservation work is focused. In other disciplines, it is well known that barriers and biases exist in the academic publishing sphere, which can affect research dissemination and an author's career development. We used a discrete choice experiment to determine how 7 journal attributes affect authors’ choices of where to publish in conservation. We targeted authors directly by contacting authors published in 18 target journals and indirectly via communication channels for conservation organizations. We only included respondents who had previously published in a conservation‐related journal. We used a multinomial logit model and a latent class model to investigate preferences for all respondents and distinct subpopulations. We identified 3 demographic groups across 1038 respondents (older authors from predominantly middle‐income countries, younger authors from predominantly middle‐income countries, and younger authors from high‐income countries) who had published in conservation journals. Each group exhibited different publishing preferences. Only 2 attributes showed a consistent response across groups: cost to publish negatively affected journal choice, including authors in high‐income countries, and authors had a consistent preference for double‐blind review. Authors from middle‐income countries were willing to pay more for society‐owned journals, unlike authors from high‐income countries. Journals with a broad geographical scope that were open access and that had relatively high impact factors were preferred by 2 of the 3 demographic groups. However, journal scope and open access were more important in dictating journal choice than impact factor. Overall, different demographics had different preferences for journals and were limited in their selection based on attributes such as open access policy. However, the scarcity of respondents from low‐income countries (2% of respondents) highlights the pervasive barriers to representation in conservation research. We recommend journals offer double‐blind review, reduce or remove open access fees, investigate options for free editorial support, and better acknowledge the value of local‐scale single‐species studies. Academic societies in particular must reflect on how their journals support conservation and conservation professionals. [ABSTRACT FROM AUTHOR]

Electronic resources play a vital role in distributing scholarly material in the current digital age. This study investigates the information-seeking habits of research scholars at the University of Rajasthan, with a specific focus on their knowledge and utilization of open-access initiatives such as the Directory of Open Access Journals (DOAJ) and the Directory of Open Access Repositories (DOAR). Data was collected using an online survey and analysed using descriptive statistics. The results indicate that a large majority (91%) of participants are familiar with DOAJ and DOAR, yet a tiny percentage (8%) have never utilized these tools. Google Scholar is the platform that is used most frequently, with a usage rate of 24%. It is followed by JSTOR, which has a usage rate of 21%. Shodhganga has a usage rate of 20%, while ResearchGate has a usage rate of 10%. Nevertheless, scholars have obstacles while trying to access these materials, mostly because of intermittent internet connectivity, insufficient ICT infrastructure, language hurdles, and limited knowledge of information retrieval methods. Although eresource platforms are widely acknowledged, their practical utilization remains rather limited. In order to tackle this issue, the University of Rajasthan should adopt extensive educational initiatives, organize workshops, and offer training sessions to boost scholars' proficiency in efficiently navigating and utilizing various electronic information platforms. [ABSTRACT FROM AUTHOR]

Designing and developing inhibitors against the epigenetic target DNA methyltransferase (DNMT) is an attractive strategy in epigenetic drug discovery. DNMT1 is one of the epigenetic enzymes with significant clinical relevance. Structure-based de novo design is a drug discovery strategy that was used in combination with similarity searching to identify a novel DNMT inhibitor with a novel chemical scaffold and warrants further exploration. This study aimed to continue exploring the potential of de novo design to build epigenetic-focused libraries targeted toward DNMT1. Herein, we report the results of an in-depth and critical comparison of ligand- and structure-based de novo design of screening libraries focused on DNMT1. The newly designed chemical libraries focused on DNMT1 are freely available on GitHub. [ABSTRACT FROM AUTHOR]

Data-driven computational analysis is becoming increasingly important in biomedical research, as the amount of data being generated continues to grow. However, the lack of practices of sharing research outputs, such as data, source code and methods, affects transparency and reproducibility of studies, which are critical to the advancement of science. Many published studies are not reproducible due to insufficient documentation, code, and data being shared. We conducted a comprehensive analysis of 453 manuscripts published between 2016–2021 and found that 50.1% of them fail to share the analytical code. Even among those that did disclose their code, a vast majority failed to offer additional research outputs, such as data. Furthermore, only one in ten articles organized their code in a structured and reproducible manner. We discovered a significant association between the presence of code availability statements and increased code availability. Additionally, a greater proportion of studies conducting secondary analyses were inclined to share their code compared to those conducting primary analyses. In light of our findings, we propose raising awareness of code sharing practices and taking immediate steps to enhance code availability to improve reproducibility in biomedical research. By increasing transparency and reproducibility, we can promote scientific rigor, encourage collaboration, and accelerate scientific discoveries. We must prioritize open science practices, including sharing code, data, and other research products, to ensure that biomedical research can be replicated and built upon by others in the scientific community. [ABSTRACT FROM AUTHOR]

Intensive care units (ICUs) provide care for critical patients at high risk of morbidity and mortality, and require continuous monitoring of clinical, biological and, imaging parameters. Collaborative ventures have enabled the emergence of large open access databases for the secondary use of Electronic Health Records (EHRs). The objective of this work was to evaluate the availability of scripts and datasets in publications based on ICU open-access databases. We included 910 original articles based on four ICU open-access databases (Amsterdam University Medical Centers Database, eICU Collaborative Research Database, High time resolution ICU dataset, and Medical Information Mart for Intensive Care). The majority of the studies did not provide their data management scripts (n=839, 92.9%), neither the analysis script (n=843, 93.4%) in the article. Attempts to contact the 845 corresponding authors in question resulted in 89.11% (n=753) of our e-mail requests going unanswered over a two-month period. We received 51 automated messages (55.43%) indicating that emails have not been delivered, while 6 messages (6.52%) redirected to alternative email addresses. Only 20 corresponding authors (18.18%) answered, finally providing the requested materials. Despite scientific journals recommendations to share materials, our study unveils the absence of crucial components for the replication of studies by other research teams. [ABSTRACT FROM AUTHOR]

Objectives: Online educational platforms with open access have seen a growing adoption in the field of medical education. However, the extent of their global usage is still unclear. To fill this knowledge gap, our objective is to examine the usage patterns of two renowned open‐access resources in Otolaryngology. This includes identifying the most sought‐after topics and understanding the demographics of their users. Methods: Retrospective study of web analytics data between 2016 and 2021 extracted from the Headmirror.com and Mayo Clinic Otolaryngology YouTube channel platforms analyzing demographic and education topic trends via descriptive, geospatial, time‐series, t‐tests, and ANOVA analyses. Results: Viewership spanned 124 countries in 7 different geographic regions, with 72 countries comprising low‐ to middle‐income countries, mostly represented ages of 25–34 years old, came from high‐income countries rather than low‐income (p <.001), and used mobile phones followed by computers for device access. Video‐educational material comprised of subspecialty topics on Rhinology and Sinus Surgery (25%) at the highest end and Facial Trauma (1%) at the lowest. Controlling for the age of the video content, the most‐accessed videos comprised of subspecialty topics on Head and Neck Surgery at the highest end and Laryngology at the lowest with significant differentiation across topics of interest (p <.044). Conclusions: This assessment of web‐analytics platforms from two widely used otolaryngology free, online‐access materials showed increasing global usage trends with significant differentiating factors along viewership demographics, as well as sought‐after subspecialty topics of interest. In turn, our results not only lay the groundwork for characterizing the global otolaryngology audience but also for future development of targeted educational materials and accessibility initiatives aimed at ameliorating global educational disparities in the field. [ABSTRACT FROM AUTHOR]

BackgroundFree open-access meducation (FOAM) refers to open-access, web-based learning resources in medicine. It includes all formats of digital products, including blogs and podcasts. The number of FOAM blog and podcast sites in emergency medicine and critical care increased dramatically from 2002 to 2013, and physicians began to rely on the availability of these resources. The current landscape of these FOAM sites is unknown.ObjectiveThis study aims to (1) estimate the current number of active, open-access blogs and podcasts in emergency medicine and critical care and (2) describe observed and anticipated trends in the FOAM movement using the Theory of Disruptive Innovation by Christensen as a theoretical framework.MethodsThe authors used multiple resources and sampling strategies to identify active, open-access blogs and podcasts between April 25, 2022, and May 8, 2022, and classified these websites as blogs, podcasts, or blogs+podcasts. For each category, they reported the following outcome measures using descriptive statistics: age, funding, affiliations, and team composition. Based on these findings, the authors projected trends in the number of active sites using a positivist paradigm and the Theory of Disruptive Innovation as a theoretical framework.ResultsThe authors identified 109 emergency medicine and critical care websites, which comprised 45.9% (n=50) blogs, 22.9% (n=25) podcasts, and 31.2% (n=34) blogs+podcasts. Ages ranged from 0 to 18 years; 27.5% (n=30) sold products, 18.3% (n=20) used advertisements, 44.0% (n=48) had institutional funding, and 27.5% (n=30) had no affiliation or external funding sources. Team sizes ranged from 1 (n=26, 23.9%) to ≥5 (n=60, 55%) individuals.ConclusionsThere was a sharp decline in the number of emergency medicine and critical care blogs and podcasts in the last decade, dropping 40.4% since 2013. The initial growth of FOAM and its subsequent downturn align with principles in the Theory of Disruptive Innovation by Christensen. These findings have important implications for the field of medical education.

Abstract Assessing sustainability of journals and publishers could guide the choice of a publication venue. However, sustainable scientific publishing is not sufficiently defined. We assessed motivations for sustainable scientific publishing and importance ratings of sustainability aspects of scientific publishing in an online survey. The questionnaire was answered by 129 participants, including publishing scientists, non-academic research institution employees, editors, administrative staff of scientific journals and publishing companies, and individuals working at sustainability organizations. Personal motivation was rated to be important for all stakeholders, especially for scientists (p

Successful bioinspired design depends on practitioners' access to biological data in a relevant form. Although multiple open-access biodiversity databases exist, their presentation is often adapted to life scientists, rather than bioinspired designers. In this paper, we present a new tool, "Bioinspire-Explore", for navigating biodiversity data in order to uncover biological systems of interest for a range of sectors. Bioinspire-Explore allows users to search for inspiring biological models via taxa (species, genera, etc.) as an entry point. It provides information on a taxon's position in the "tree of life", its distribution and climatic niche, as well as its appearance. Bioinspire-Explore also shows users connections in the bioinspiration literature between their taxon of interest and associated biological processes, habitats, and physical measurements by way of their semantic proximity. We believe Bioinspire-Explore has the potential to become an indispensable resource for both biologists and bioinspired designers in different fields. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic brought unprecedented challenges in radiology education. RadDiscord, a digital, open-access radiology educational platform now with over 4100 members internationally, emerged as a COVID-era innovation that has transformed radiology education, broken down institutional silos, and equalized access to high-quality education. This special report will discuss the origin of RadDiscord, overcoming early barriers, building an organization and community, innovation and impact, and the future of radiological education. This may offer helpful perspectives to trainees and educators who are interested in innovating in the realm of radiology education. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has the potential to bring transformative improvements to the field of radiology; yet, there are barriers to widespread clinical adoption. One of the most important barriers has been access to large, well‐annotated, widely representative medical image datasets, which can be used to accurately train AI programs. Creating such datasets requires time and expertise and runs into constraints around data security and interoperability, patient privacy, and appropriate data use. Recognizing these challenges, several institutions have started curating and providing publicly available, high‐quality datasets that can be accessed by researchers to advance AI models. The purpose of this work was to review the publicly available MRI datasets that can be used for AI research in radiology. Despite being an emerging field, a simple internet search for open MRI datasets presents an overwhelming number of results. Therefore, we decided to create a survey of the major publicly accessible MRI datasets in different subfields of radiology (brain, body, and musculoskeletal), and list the most important features of value to the AI researcher. To complete this review, we searched for publicly available MRI datasets and assessed them based on several parameters (number of subjects, demographics, area of interest, technical features, and annotations). We reviewed 110 datasets across sub‐fields with 1,686,245 subjects in 12 different areas of interest ranging from spine to cardiac. This review is meant to serve as a reference for researchers to help spur advancements in the field of AI for radiology. Level of Evidence: Level 4 Technical Efficacy: Stage 6 [ABSTRACT FROM AUTHOR]

Abstract Objectives Online educational platforms with open access have seen a growing adoption in the field of medical education. However, the extent of their global usage is still unclear. To fill this knowledge gap, our objective is to examine the usage patterns of two renowned open‐access resources in Otolaryngology. This includes identifying the most sought‐after topics and understanding the demographics of their users. Methods Retrospective study of web analytics data between 2016 and 2021 extracted from the Headmirror.com and Mayo Clinic Otolaryngology YouTube channel platforms analyzing demographic and education topic trends via descriptive, geospatial, time‐series, t‐tests, and ANOVA analyses. Results Viewership spanned 124 countries in 7 different geographic regions, with 72 countries comprising low‐ to middle‐income countries, mostly represented ages of 25–34 years old, came from high‐income countries rather than low‐income (p

Medical journalism and the dissemination of peer-reviewed research serve to promote and protect the integrity of scholarship. We evaluated the publication models of dermatology journals to provide a snapshot of the current state of publishing. A total of 106 actively-publishing dermatology journals were identified using the SCImago Journal Rankings (SJR) citation database. Journals were classified by publication model (subscription-based and open-access), publishing company, publisher type (commercial, professional society, and university), MEDLINE-indexing status, and SJR indicator. Of these, 65 (61.32%) dermatology journals were subscription-based and 41 (38.68%) were open-access. In addition, 59 (55.66%) journals were indexed in MEDLINE and most were subscription-based (N=51) and published by commercial entities (N=54). MEDLINE-indexing status was significantly different across publisher types (P

Background: Given the advent of large-scale neuroimaging data-driven endeavors for Alzheimer's disease, there is a burgeoning need for well-characterized neuroimaging databases of healthy individuals. With the rise of initiatives around the globe for the rapid and unrestricted sharing of data resources, there is now an abundance of open-source neuroimaging datasets available to the research community. However, there is not yet a systematic review that fully details the demographic information and modalities actually available in all open access neuroimaging databases around the globe. Objective: This systematic review aims to provide compile a list of MR structural imaging databases encompassing healthy individuals across the lifespan. Methods: In this systematic review, we searched EMBASE and PubMed until May 2022 for open-access neuroimaging databases containing healthy control participants of any age, race, with normal development and cognition having at least one structural T1-weighted neuroimaging scan. Results: A total of 403 databases were included, for up to total of 48,268 participants with all available demographic information and imaging modalities detailed in Supplementary Table 1. There were significant trends noted when compiling normative databases for this systematic review, notably that 11.7% of databases included reported ethnicity in their participants, with underrepresentation of many socioeconomic groups globally. Conclusions: As efforts to improve primary prevention of AD may require a broader perspective including increased relevance of earlier stages in life, and strategies in addressing modifiable risk factors may be individualized to specific demographics, improving data characterization to be richer and more rigorous will greatly enhance these efforts. [ABSTRACT FROM AUTHOR]

This Paper seeks to review the articles published in the Journal of Intellectual Property Rights (hereinafter, JIPR) in the third decade of the twenty-first century from Volume 25 (1) (2020) to Volume 28 (5) (2023). In this decade, five new series on different themes of intellectual property rights (hereinafter, IPRs) were started by JIPR which include =IP & Taxation Policy', =Theoretical Underpinnings of IP Laws', =Standard Essential Patents', =IP Laws Declared by the Supreme Court', and =JIPR in IPR Research'. In this decade, a total of 139 articles were published covering different areas of IPRs. The articles published in this decade constitute 14.52 (point five two) percent of the total articles published in JIPR till Volume 28 (5) (2023). In terms of percentage of the articles published in each decade, this decade with 14.52 (point five two) percent comes fourth after the decades 2010-2014 with 26.22 percent, 2005-2009 with 22.98 percent, and 2015-2019 with 15.04 percent. This is the sixth paper on the theme =JIPR in IPR Research' and proceeds with the same argument and method as developed and adopted in the First Paper1 and the sequel papers published under the theme. [ABSTRACT FROM AUTHOR]

The field of immunology is rapidly progressing toward a systems-level understanding of immunity to tackle complex infectious diseases, autoimmune conditions, cancer, and beyond. In the last couple of decades, advancements in data acquisition techniques have presented opportunities to explore untapped areas of immunological research. Broad initiatives are launched to disseminate the datasets siloed in the global, federated, or private repositories, facilitating interoperability across various research domains. Concurrently, the application of computational methods, such as network analysis, meta-analysis, and machine learning have propelled the field forward by providing insight into salient features that influence the immunological response, which was otherwise left unexplored. Here, we review the opportunities and challenges in democratizing datasets, repositories, and community-wide knowledge sharing tools. We present use cases for repurposing open-access immunology datasets with advanced machine learning applications and more.

Purpose: The characterization of electron backscattering is essential in medical physics for accurately assessing dose deposited around inhomogeneities where backscattering alters the spatial energy distribution pattern and for determining Monte‐Carlo code's ability to effectively describe electron scattering and does calculation in a target volume. Recent machine learning advances have provided physicists with powerful tools for effectively extracting information and trends from extensive experiment observations if sufficiently sizeable datasets are available for data mining. We report on the development of a publicly accessible database on electron backscattering coefficients for solid targets. Acquisition and validation methods: The first database on electron‐solid interactions was assembled in 1995. Data for bulk materials, limited to normal incidence and energies up to 100 keV, were primarily focusing on electron microscopy. To accommodate broad high‐energy applications and include the most recent publications we have created a comprehensive database of electron backscattering coefficients, listed as a function of target atomic number and thickness, electron energy, and incidence angle. These additions resulted in a database of 3566 data points, compared to the previous database of 1430. The data collection includes only published experimental observations (no calculations or results fitting) with no attempt to judge their accuracy or quality. A limited number of data points were compared to recently published Monte‐Carlo results. Data format and usage notes: The presented database provides values of electron backscattering coefficients for 50 elements and 19 compounds at electron energies ranging from 0.1 keV to 15 MeV, presented in ASCII files. Each file contains the electron energy and backscattering coefficient with target thickness or electron incidence angle included where available, and the reference number shown in the last column. Additionally, the presented data were shown in the graphs for better visualization. The online database can be accessed from the website https://doi.org/10.5281/zenodo.7810951. Potential applications: The database provides the most up‐to‐date source of experimentally obtained electron backscattering coefficients that can be used in theoretical and MC calculations and modeling validations. The data availability is still very limited for many solids and almost non‐existent for compounds. Novel machine learning methods should be well adapted to predict these unknown values for various targets, thicknesses, energies, and incident angles utilizing the presented cleaned dataset. [ABSTRACT FROM AUTHOR]

This paper presents a geospatial approach for quantifying street-level on-road emissions of carbon dioxide (CO _2 ), nitrogen oxides (NO _x ), and carbon monoxide (CO). By leveraging an existing open-access database of real-time congestion information derived from floating car data, we tested three methods to map high-resolution dynamic traffic emissions. To demonstrate the robustness and accuracy of the methods, we showcased results for summer workdays and winter weekends in the Helsinki Metropolitan Area (HMA). The three methods employed include (1) a physics-based relation known as the macroscopic fundamental diagram, (2) a data-driven input-adaptive generalized linear model (GLM), and (3) their ensemble (ENS). These methods estimated traffic density with satisfactory accuracy ( R ^2 = 0.60–0.88, sMAPE = 31%–68%). Utilizing speed-dependent emission factors retrieved from a European database, the results compared favorably against the downscaled national emission inventory, particularly for CO _2 ( R ^2 = 0.70–0.77). Among the three methods, GLM exhibited the best overall performance in the HMA, while ENS provided a robust upscaling solution. The modeled emissions exhibited dynamic diurnal and spatial behavior, influenced by different functional road classes, fleet compositions and congestion patterns. Congestion-induced emissions were calculated to account for up to 10% of the total vehicular emissions. Furthermore, to anticipate the forthcoming transportation transformation, we calculated emission changes under scenarios with various penetration rates of connected and autonomous vehicles (CAVs) using this geospatial approach. The introduction of CAVs could result in emission reductions of 3%–14% owing to congestion improvements.

Successful bioinspired design depends on practitioners’ access to biological data in a relevant form. Although multiple open-access biodiversity databases exist, their presentation is often adapted to life scientists, rather than bioinspired designers. In this paper, we present a new tool, “Bioinspire-Explore”, for navigating biodiversity data in order to uncover biological systems of interest for a range of sectors. Bioinspire-Explore allows users to search for inspiring biological models via taxa (species, genera, etc.) as an entry point. It provides information on a taxon’s position in the “tree of life”, its distribution and climatic niche, as well as its appearance. Bioinspire-Explore also shows users connections in the bioinspiration literature between their taxon of interest and associated biological processes, habitats, and physical measurements by way of their semantic proximity. We believe Bioinspire-Explore has the potential to become an indispensable resource for both biologists and bioinspired designers in different fields.

David V Folden,1– 3 Jennifer R Wong4 1Twin Cities Eye Consultants, Edina, MN, USA; 2North Suburban Eye Specialists, Coon Rapids, MN, USA; 3North Metro Surgery Center, Blaine, MN, USA; 4Praxis Vision, Edina, MN, USACorrespondence: David V Folden, Twin Cities Eye Consultants, 3777 Coon Rapids Blvd NW, Coon Rapids, MN, 55433, USA, Tel +1 763-421-7420, Fax +1 763-421-0730, Email foldav@gmail.comPurpose: To report on the safety and visual acuity (VA) outcomes using a co-managed, open-access methodology with a second-generation (ActivShieldTM) Light Adjustable Lens (LAL 2.0).Patients and Methods: This retrospective observational case series of consecutive patients implanted with the LAL 2.0 choosing an emmetropic target in at least one eye were included in the study. All patients were co-managed with light treatments occurring at an open-access facility. Exclusion criteria included pathology of the macula and/or cornea with reduced best corrected visual acuity (BCVA). The primary outcome measures were uncorrected distance visual acuity (UDVA), spherical equivalent (SE), and residual cylinder for emmetropic goal eyes at the final 3- to 9-month postoperative visit.Results: Thirty-three patients (62 eyes) were included in the study and implanted with the LAL 2.0. Thirty-three (53.2%) eyes had previous corneal refractive treatment(s) with 22 (66.7%) having no original historical refractive records available. Thirty-six (58.1%) total eyes and 20 (32.3%) postrefractive eyes had an emmetropic refractive target. Of all the emmetropic goal eyes, 35 (97.2%) saw 20/20 or better and 36 (100%) were within ± 0.50 D SE of plano and had a mean cylinder of − 0.15 ± 0.26 D. Of the postrefractive emmetropic goal eyes, 19 (95%) saw 20/20 or better, 20 (100%) were within ± 0.50 D SE of plano and had a mean cylinder of − 0.17 ± 0.28 D.Conclusion: A co-managed, open-access methodology using the LAL 2.0 was safe and efficacious even in challenging postrefractive clinical scenarios.Keywords: ActivShieldTM, light adjustable lens, co-manage, open-access, refractive cataract surgery

BenchCouncil Transactions on Benchmarks, Standards and Evaluations (TBench) is an open-access journal dedicated to advancing the field of benchmarks, data sets, standards, evaluations and optimizations. This journal is a peer-reviewed, subsidized open-access journal where The International Open Benchmark Council (BenchCouncil) pays the open-access fee. Authors do not have to pay any open-access publication fee. However, at least one of the authors must register BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench) (https://www.benchcouncil.org/bench/) and present their work. It seeks a fast-track publication with an average turnaround time of one month.We invite submissions covering a wide range of topics from various disciplines, with a particular emphasis on interdisciplinary research. Whether it pertains to computers, AI, medicine, education, finance, business, psychology, or other social disciplines, all relevant contributions are welcome.At TBench, we prioritize the reproducibility of research. We strongly encourage authors to ensure that their articles are prepared for open-source or artifact evaluation before submission. The journal website is https://www.benchcouncil.org/tbench.

Studying the spatial distribution of proteins provides the basis for understanding the biology, molecular repertoire, and architecture of every human cell. The Human Protein Atlas (HPA) has grown into one of the world's largest biological databases, and in the most recent version, a major update of the structure of the database was performed. The data has now been organized into 10 different comprehensive sections, each summarizing different aspects of the human proteome and the protein‐coding genes. In particular, large datasets with information on the single cell type level have been integrated, refining the tissue and cell type specificity and detailing the expression in cell states with an increased resolution. The multi‐modal data constitute an important resource for both basic and translational science, and hold promise for integration with novel emerging technologies at the protein and RNA level. [ABSTRACT FROM AUTHOR]

• Virtual (screen-based) simulations assist nursing students' clinical learning. • A collection of open access and fee-based virtual technologies is presented. • Results meet a need for educators to access virtual simulation applications. Virtual (screen-based) simulations have been utilized to help progress pre-licensure nursing students' remote clinical learning during the recent pandemic. This mapping review, reports an anthology of virtual simulation technology sources from simulation education web sites and library sources. Two authors verified available sources and categorized these based on cost; either open access, or subscription-based. A list of 40 virtual simulation sources including virtual simulations, virtual reality simulations and virtual games, is presented. These provide faculty with a choice of virtual simulation modalities for various levels of nurse learners. Numerous virtual simulation technology applications are available for educators to utilize in teaching nursing students. Results from this review meet a need for educators to access virtual simulation applications to include in their education curricula. [ABSTRACT FROM AUTHOR]

Objective: To describe the academic impact and author characteristics of open‐access journals in otolaryngology. Methods: Original articles from three open‐access (OTO Open, Laryngoscope Investigative Otolaryngology, and World Journal of Otorhinolaryngology) and three conventional subscription‐based otolaryngology specific journals (Otolaryngology ‐ Head & Neck Surgery, The Laryngoscope, JAMA Otolaryngology – Head & Neck Surgery) were assessed. Publication dates of articles from January 2017 to July 2020 were included. Google Scholar and Web of Science citation counts were recorded. H‐indexes of first and last authors were included according to Google Scholar and Web of Science and analyzed. Results: This analysis included 3284 articles. Articles published in open‐access otolaryngology‐specific journals had significantly fewer citations on average (6.8) than articles published in subscription‐based journals (12.4, p < 0.0001). The last authors of articles published in subscription‐based journals had significantly higher h‐indexes (23.50) compared with the last authors of articles published in open‐access journals (19.53, p < 0.0001). The first authors of articles published in open‐access journals had similar h‐indexes (10.26) as the first authors of articles published in subscription‐based journals (10.33). Conclusions: Articles published in open‐access journals in otolaryngology were cited significantly less than those published in subscription‐based journals. The h‐index of the last authors was significantly lower in open‐access journals; however, the h‐index of the first authors was similar between open‐access and subscription‐based journals. As measured by citations, open‐access publications do not yet appear to have the impact of subscription‐based publications. Level of Evidence: NA Laryngoscope, 133:79–82, 2023 [ABSTRACT FROM AUTHOR]

The editorial of the fifth issue of the Theoretical Roman Archaeology Journal focuses on the topic of open data. The editors consider both the challenges of using and disseminating open data within the field of Roman archaeology. We also reflect upon how TRAJ can improve on the inclusion of open-access data in the future.

Objectives: This study aimed to map out African health journals using publicly-available information on major databases.Methods: The authors searched the African Journals Online Library (AJOL) and Scientific Journal Rankings (SJR) databases from their inception in 1998 and 1996 respectively to 17 October 2020, and identified African health journals. The authors extracted data on journal scope, PubMed indexation, open-access status, publishing fees, Journal Publishing Practices and Standards rating and bibliometrics. The data were compared with health journals from other regions using the Chi-square test and odds ratio.Results: AJOL had 173 health journals registered on its database. One hundred (57.8%) journals were actively publishing. Fifty-seven (32.9%) had a 1-star Journal Publishing Practices and Standards rating and 4 (2.3%) had 2-star ratings. 112 (64.7%) had no star rating. The journal scope spanned all aspects of health. Few health journals were PubMed (n = 20) or SJR (n = 22) indexed. On average, African journals had lower total publications (median [IQR]: 52.0 [29.0–74.8] vs. 140.0 [75.8–272.5]), total references (55.0 [19.5–74.8] vs. 160.0 [42.0–519.8]), and H-index (12.2 [5.0–14.0] vs. 39.1 [10.0–53.0]) (P=0.01) compared to other regions.Conclusion: African health journals face unique challenges that require targeted interventions.

An increasing number of patients are suffering from central nervous system (CNS) injury, including spinal cord injury. However, no suitable treatment is available for such patients as yet. Various platforms have been utilized to recapitulate CNS injuries. However, animal models and in vitro two-dimensional (2D)-based cell culture platforms have limitations, such as genetic heterogeneity and loss of the neural-circuit ultrastructure. To overcome these limitations, we developed a method for performing axotomy on an open-access three-dimensional (3D) neuron-culture platform. In this platform, the 3D alignment of axons in the brain tissue was recapitulated. For direct access to the cultured axons, the bottom of the 3D neuron-culture device was disassembled, enabling exposure of the neuron-laden Matrigel to the outside. The mechanical damage to the axons was recapitulated by puncturing the neuron-laden Matrigel using a pin. Thus, precise axotomy of three-dimensionally aligned axons could be performed. Furthermore, it was possible to fill the punctuated area by re-injecting Matrigel. Consequently, neurites regenerated into re-injected Matrigel. Moreover, it was confirmed that astrocytes can be co-cultured on this open-access platform without interfering with the axon alignment. The proposed open-access platform is expected to be useful for developing treatment techniques for CNS injuries. [ABSTRACT FROM AUTHOR]

Der vorliegende Beitrag bilanziert die Anfangsjahre von Kriminologie – Das Online-Journal | Criminology – The Online Journal als eine der ersten reinen Open-Access-Zeitschriften für den Bereich der Kriminologie. Er schildert die Entstehung des Journals und gibt einen Überblick über die bisher erzielten Ergebnisse, schildert Überlegungen zur Verstetigung und liefert Erkenntnisse aus einer Online-Umfrage. Der Beitrag thematisiert zudem die besonderen Herausforderungen, die mit dem Betrieb eines Open-Access-Journals verbunden sind.

Sexual harassment is a social problem that needs urgent attention to reduce its frequent occurrence. This paper is a systematic literature review (SLR) that summarizes the previous studies of sexual harassment from Islamic state universities (UIN) in Indonesia. Data were collected from the final year bachelor's theses available in the online library repository of UIN Syarif Hidayatullah Jakarta, UIN Walisongo Semarang, UIN Sunan Ampel Surabaya, UIN Ar-Raniry Aceh, UIN Alauddin Makassar and UIN Raden Fatah Palembang with open-access facilities. The SLR and Meta-analysis were used to investigate the background, perpetrator-victim involvement, and resolution of sexual harassment. This research used 20 eligible and relevant theses for the study of sexual harassment have been published from 2007 to 2022. The result showed that most cases occurred in urban areas, where the perpetrators are people known to the victim, such as family members, colleagues at work, neighbors, and playmates. Therefore, the role of non-governmental organizations and local governments is very helpful for victims to form coping strategies and report criminal cases. Sexual harassment needs to get more public attention by strengthening litigation and non-litigation needs, accompanied by the provision of sexuality education for parents, children, and the community.

In this study, operational decision support systems (DSSs) for irrigation water management that utilize data from weather stations (W/S) or weather data services are presented. The challenges and the ways in which various systems address them are summarized based on a review of the relevant scientific literature and information provided on the websites of the systems under consideration. The selected systems that are presented are categorized into those that utilize W/S data (IRMA_SYS, CIMIS, BlueLeaf, CoAgMet) as well as those that employ remote sensing data (Manna irrigation, Irrisat, Sencrop). Remote sensing DSSs are included in this study because their functionality is closely related to that of W/S-based systems, as it is explained in the study. Additionally, Foreca and OpenET are also examined as they provide data to DSSs for irrigation management. The discussion about the challenges encountered in the use of DSSs based on W/S data aims to stimulate further research and development in this field by the scientific community and system developers.

Forests absorb 30% of human emissions associated with fossil fuel burning. For this reason, forest disturbances monitoring is needed for assessing greenhouse gas balance. However, in several countries, the information regarding the spatio-temporal distribution of forest disturbances is missing. Remote sensing data and the new Sentinel-2 satellite missions, in particular, represent a game-changer in this topic.Here we provide a spatially explicit dataset (10-meters resolution) of Italian forest disturbances and magnitude from 2017 to 2020 constructed using Sentinel-2 level-1C imagery and exploiting the Google Earth Engine GEE implementation of the 3I3D algorithm. For each year between 2017 and 2020, we provide three datasets: (i) a magnitude of the change map (between 0 and 255), (ii) a categorical map of forest disturbances, and (iii) a categorical map obtained by stratification of the previous maps that can be used to estimate the areas of several different forest disturbances. The data we provide represent the state-of-the-art for Mediterranean ecosystems in terms of omission and commission errors, they support greenhouse gas balance, forest sustainability assessment, and decision-makers forest managing, they help forest companies to monitor forest harvestings activity over space and time, and, supported by reference data, can be used to obtain the national estimates of forest harvestings and disturbances that Italy is called upon to provide.

This article aims to propose some reflections on the impact of open access publications in the field of digital humanities. The publishing experience of the open-access journal Umanistica digitale will be reviewed in dialogue with its Editor-in-Chief, Fabio Ciotti.