Journal articles on the topic 'Open Video Repository'

Institutional repositories is converting the intellectual output of an institution to digital form. It contains collecting, archiving, preserving of Institute intellectual output in the digital form, as the archives are thesis, publications, reports, dissertation, teaching materials, presentations, video, images, photographs, printed material, newspaper clippings. ICMR-NIE has started its digital library service from 2015. This paper discusses the setup of a digital institute repository at ICMR-NIE using the open source software D-Space for the long-term preservation of the institutional materials. It benefits the institute by raising the institute’s profile for a broader dissemination, increased use, and enhances the Institute research materials to the staff, scholars, students and faculty members.

A great deal of understanding can be gleaned from direct observation of organismal growth, development, and behavior. However, direct observation can be time consuming and influence the organism through unintentional stimuli. Additionally, video capturing equipment can often be prohibitively expensive, difficult to modify to one’s specific needs, and may come with unnecessary features. Here, we describe PiSpy, a low-cost, automated video acquisition platform that uses a Raspberry Pi computer and camera to record video or images at specified time intervals or when externally triggered. All settings and controls, such as programmable light cycling, are accessible to users with no programming experience through an easy-to-use graphical user interface. Importantly, the entire PiSpy system can be assembled for less than $100 using laser-cut and 3D-printed components. We demonstrate the broad applications and flexibility of PiSpy across a range of model and non-model organisms. Designs, instructions, and code can be accessed through an online repository, where a global community of PiSpy users can also contribute their own unique customizations and help grow the community of open-source research solutions.

This paper presents a comprehensive case study examining a large-scale video migration project carried out by the USC Digital Repository involving oral history interviews from the Television Academy Foundation, captured in high-definition video (HDV). Unlike the more-widely compatible MiniDV format, HDV poses unique challenges due to its distinct format standard, rendering many open source toolsets geared towards capturing DV content incompatible. Consequently, this leaves archivists to rely on unsupported, proprietary tools, exacerbating the complexities inherent in large-scale migrations. Before presenting the troubleshooting process, this paper provides an overview of The Foundation’s Interviews collection, which includes over 900 interviews spanning over 3,000 hours of catalogued and publicly accessible first-hand accounts of television industry pioneers and professionals. Subsequently, the paper delves into the technical intricacies of the HDV format and the challenges of migrating data from HDV. It examines the strategies considered for identifying and addressing corrupt data, alongside implemented solutions aimed at balancing data authenticity with usability in the face of inevitable corruption occurrences throughout the collection. This study not only sheds light on the challenges inherent in preserving HDV content but also offers guidance for future endeavours seeking to safeguard valuable cultural and historical materials in similar formats.

Physical behavior can be assessed using a range of competing methods. The Free-Living Activity Study for Health (FLASH) is an ongoing study that facilitates the comparison of such methods. The purpose of this report is to describe the FLASH, with a particular emphasis on a subsample of participants who have consented to have their deidentified data released in a shared repository. Participants in the FLASH wear seven physical activity monitors for a 24-hr period and then complete a detailed recall using the Activities Completed Over Time in 24-hr online assessment tool. The participants can optionally agree to be video recorded for 30–60 min, which allows for direct observation as a criterion indicator of their behavior during that period. As of version 0.1.0, the repository includes data from 38 participants, and the sample size will grow as data are collected, processed, and released in future versions. The repository makes it possible to combine sensor data (e.g., from ActiGraph and SenseWear) with minute-by-minute contextual data (from the Activities Completed Over Time in 24-hr recall system), which enables the FLASH to generate benchmark data for a wide range of future research. The repository itself provides an example of how a powerful open-source tool (GitHub) can be used to share data and code in a way that encourages communication and collaboration among a variety of scientists (e.g., algorithm developers and end users). The FLASH data set will provide long-term benefits to researchers interested in advancing the science of physical behavior monitoring.

Identifying patients with left ventricular ejection fraction (EF), either reduced [EF < 40% (rEF)], mid-range [EF 40–50% (mEF)], or preserved [EF > 50% (pEF)], is considered of primary clinical importance. An end-to-end video classification using AutoML in Google Vertex AI was applied to echocardiographic recordings. Datasets balanced by majority undersampling, each corresponding to one out of three possible classifications, were obtained from the Standford EchoNet-Dynamic repository. A train–test split of 75/25 was applied. A binary video classification of rEF vs. not rEF demonstrated good performance (test dataset: ROC AUC score 0.939, accuracy 0.863, sensitivity 0.894, specificity 0.831, positive predicting value 0.842). A second binary classification of not pEF vs. pEF was slightly less performing (test dataset: ROC AUC score 0.917, accuracy 0.829, sensitivity 0.761, specificity 0.891, positive predicting value 0.888). A ternary classification was also explored, and lower performance was observed, mainly for the mEF class. A non-AutoML PyTorch implementation in open access confirmed the feasibility of our approach. With this proof of concept, end-to-end video classification based on transfer learning to categorize EF merits consideration for further evaluation in prospective clinical studies.

Using a multidisciplinary approach, we are creating an instrument for utilization in a variety of greenhouse related courses. We now have over 3 hours of edited and titled video segments that were obtained at different locations by the same videographer. The greenhouse businesses in Arizona, Vermont, Ohio, and Florida were chosen due to their unique business strategies, level of computerization, type of greenhouse construction, management philosophies, and climate challenges. Individual video segments are based on nine topics that were covered at each location including computers, structure, plant life cycle, and labor. The videos have been placed on a streaming media server and will be burned to a DVD. An interactive Flash-based greenhouse environment simulator is nearly complete. This instrument allows students to model greenhouse environments based on climate data from each of the four video locations. Additionally, a searchable digital repository has been established that will allow other participants to submit materials for educational use. This open source software (DSpace) has an integrated distribution license which streamlines compliance with the Digital Millennium Copyright Act. Several hundred high quality images have already been uploaded, described and tagged. Learning assessment tools based on numerical self-evaluation and verification narratives are also being developed in conjunction with the multimedia tools. We have created a database of all the greenhouse courses at 1862, 1890, and 1994 institutions and hope to build a community of teachers that will utilize and contribute to the multimedia greenhouse collection. This community has already grown to include two international greenhouse experts who contributed interactive software for educational use.

Infrastructure vulnerability has drawn significant attention in recent years, partly because of the occurrence of low-probability and high-consequence disruptive events such as 2017 hurricanes Harvey, Irma, and Maria, 2011 Tuscaloosa and Joplin tornadoes, and 2015 Gorkha, Nepal, and 2017 Central Mexico earthquakes. Civil infrastructure systems support social welfare, thus viability and sustained operation is critical. A variety of frameworks, models, and tools exist for advancing infrastructure vulnerability research. Nevertheless, providing accurate vulnerability measurement remains challenging. This paper presents a state-of-the-art data collection and information extraction methodology to document infrastructure at high granularity to assess preevent vulnerability and postevent damage in the face of disasters. The methods establish a baseline of preevent infrastructure functionality that can be used to measure impacts and temporal recovery following a disaster. The Extreme Events Web Viewer (EEWV) presented as part of the methodology is a GIS-based web repository storing spatial and temporal data describing communities before and after disasters and facilitating data analysis techniques. This web platform can store multiple geolocated data formats including photographs and 360° videos. A tool for automated extraction of photography from 360° video data at locations of interest specified in the EEWV was created to streamline data utility. The extracted imagery provides a manageable data set to efficiently document characteristics of the built and natural environment. The methodology was tested to locate buildings vulnerable to flood and storm surge on Dauphin Island, Alabama. Approximately 1,950 buildings were passively documented with vehicle-mounted 360° video. Extracted building images were used to train a deep learning neural network to predict whether a building was elevated or nonelevated. The model was validated, and methods for iterative neural network training are described. The methodology, from rapidly collecting large passive datasets, storing the data in an open repository, extracting manageable datasets, and obtaining information from data through deep learning, will facilitate vulnerability and postdisaster analyses as well as longitudinal recovery measurement.

The Environmental Data Portal EnviDat aims to fuse data publication repository functionalities with next-generation web-based environmental geospatial information systems (web-EGIS) and Earth Observation (EO) data cube functionalities. User requirements related to mapping and visualization represent a major challenge for current environmental data portals. The new Cloud Optimized Raster Encoding (CORE) format enables an efficient storage and management of gridded data by applying video encoding algorithms. Inspired by the cloud optimized GeoTIFF (COG) format, the design of CORE is based on the same principles that enable efficient workflows on the cloud, addressing web-EGIS visualization challenges for large environmental time series in geosciences. CORE is a web-native streamable format that can compactly contain raster imagery as a data hypercube. It enables simultaneous exchange, preservation, and fast visualization of time series raster data in environmental repositories. The CORE format specifications are open source and can be used by other platforms to manage and visualize large environmental time series.

This study aims to investigate, on the one hand, the use of blogs as a didactic resource for the acquisition of English written production skills and, on the other hand, the learners’ experiences and perceptions towards the use of open access and online self-correction tools that have been embedded as a repository of grammar checkers in an institutional blog. In order to shed light on these two issues, we have designed an online blog that hosts 11 open access and online tools that contribute to the learners’ self-awareness of the errors produced in English written texts. A survey was also embedded in the blog to examine the users’ satisfaction levels with regards to navigation, the display of video tutorials (for example, if they contribute to the development of English written skills), and whether the tools available in the blog were previously known by the users and were easy to use for the identification and self-correction of errors produced in English written texts. The results derived from this survey reveal that the respondents (n = 33) found that navigation of the blog functionalities was easy, and this is the case for the 11 tools available in the blog. Among them, the users considered five tools to be highly useful for the identification of grammar and lexical inconsistencies in their English written texts, namely, Hemingway, Language Tool, Reverso, Spell Check Plus and Virtual Writing Tutor.

E-learning is an element of the new dynamic that is defining educational systems in the twenty-first century. In today's world, e-learning is the concept of perpetual change. As the number of internet-savvy consumers grows, e-learning is becoming increasingly popular. Faster bandwidths have greatly aided in the expansion of e-learning students. E-Learning is being used by a growing number of colleges and universities. E-learning also helps to support skills and knowledge, as well as institutions and industry. In addition, interactive classrooms using live and video conferencing for certain topics are being put up. In this paper, secondary data was gathered from a variety of available sources, including a literature survey and referring e-libraries, among others. Review of the literature and other available information from various published and unpublished reports. India is the origin of e-learning. Indira Gandhi National Open University launched the e-Gyankosh project in 2006, which is a National Digital Repository of Learning Resources. GyanDarshan is a 24-hour E-learning satellite channel launched by IGNOU, the world's largest Open University. E-Learning is big in India Ninety Six billion and the present user support will raise at Forty Four percent CAGR toward nine and six tenths million users by two thousand and twenty-first. In reality, India’s e-learning promote business market is the second largest, which is foreseen to raise by fifteen and sixty-four hundredths percent and exceed dollar forty eight billion by Two Thousand Twenty. E-learning is additional than a technological breakthrough. It's part of a larger reassessment of how we teach future learners and students our knowledge understanding, skills, information, moral ethics, and values. This will speculate on how e-learning and the functions it supports may evolve in the future.

Physical inactivity and unhealthy diet are considered as major risk factors in the development of the “fatal four” Non-communicable Diseases (NCDs) (WHO, 2018). As the University of the Philippines Open University (UPOU) adopts a sedentary work lifestyle with most of the employees spending long hours at the office sitting in front of a computer screen, the university must be able to promote health and wellness in the workplace, particularly healthy eating. Thus, the study aimed to determine UPOU employees’ awareness of the Food-based Dietary Guidelines (FBDGs), adherence to the 2012 Nutritional Guidelines for Filipinos (NGF), and preferred sources of information on healthy eating to provide insights for the development of nutrition interventions in the university. A total of 85 healthy employees aged 19-59 years old accomplished an online adapted survey from February to April 2019 which included questions on awareness of the four FBDGs--2012 NGF; Kumainments (simplified version of NGF); Daily Nutritional Guide Pyramid (DNGP); and Pinggang Pinoy (a plate-like pictorial model), eating practices relative to the 2012 NGF, and preferred sources of information on the FBDGs. Data were analyzed using descriptive statistics. Results of the study showed that most of the respondents were not aware of the FBDGs. Among those who were aware, only a few have read the FBDGs. Adherence to the guidelines was also low as reflected by a very low percentage of respondents practicing the messages on the recommended frequency of intake of food groups. Results suggest conducting lectures or seminars and producing video materials about nutrition which can be uploaded in UPOU’s online repository of multimedia resources and social media sites to promote healthy eating practices among UPOU employees and ensure a healthy and sustainable workforce.

ABSTRACT Background In health professionals' education, senior learners play a key role in the teaching of junior colleagues. Objective We describe an online discussion about residents as teachers to highlight the topic and the online journal club medium. Methods In January 2015, the Journal of Graduate Medical Education (JGME) and the Academic Life in Emergency Medicine blog facilitated an open-access, online, weeklong journal club on the JGME article “What Makes a Great Resident Teacher? A Multicenter Survey of Medical Students Attending an Internal Medicine Conference.” Social media platforms used to promote asynchronous discussions included a blog, a video discussion via Google Hangouts on Air, and Twitter. We performed a thematic analysis of the discussion. Web analytics were captured as a measure of impact. Results The blog post garnered 1324 page views from 372 cities in 42 countries. Twitter was used to endorse discussion points, while blog comments provided opinions or responded to an issue. The discussion focused on why resident feedback was devalued by medical students. Proposed explanations included feedback not being labeled as such, the process of giving delivery, the source of feedback, discrepancies with self-assessment, and threats to medical student self-image. The blog post resulted in a crowd-sourced repository of resident teacher resources. Conclusions An online journal club provides a novel discussion forum across multiple social media platforms to engage authors, content experts, and the education community. Crowd-sourced analysis of the resident teacher role suggests that resident feedback to medical students is important, and barriers to student acceptance of feedback can be overcome.

Purpose – There is no proposed solution to address the unresolved issues of publishing music-related electronic theses and dissertations (ETDs) pertaining to technology availability, copyright, and preservation. The purpose of this paper is to propose a complete system, including technology development and publishing model, which addresses the existing issues of publishing music-related ETDs. The paper shares the practice of utilizing the system developed by Texas Tech University Libraries known as Streaming Audio and Video Experience (SAVE), and proposes it as a solution for other multimedia collections. Design/methodology/approach – The proposed system includes a technology solution and a publishing model. The technology solution, SAVE, contains an authenticated streaming multimedia player, a responsive-design user interface, and a web-based submission and management system. The publishing model combines a DSpace-based institutional repository (IR) with SAVE and preservation strategies. Findings – The integrated system of SAVE and DSpace-based IR expands the access of music-related ETDs and other multimedia collections to patrons, benefits the distance education students as well as the local students, facilitates professors’ classroom teaching, and helps to preserve physical multimedia items by avoiding check-outs. Originality/value – The SAVE solution resolves issues of publishing music-related ETDs, fulfills the local needs of publishing hundreds of music-related ETDs from the College of Visual and Performing Arts, and supports the publishing of other multimedia collections. The software will be released open source to the public for other universities’ use. The publishing model is also useful for those universities that intend to integrate an IR with the streaming player platform.

Most sports science research revolves around male subjects. As a result, most of the knowledge and practices within sports are male-centric. Failing to take the biological, psychological and social (biopsychosocial) particularities of females into account is believed to hinder optimal sports participation, development and performance, with potential negative effects on the health and well-being of females. To close the knowledge gap and alleviate these issues, we aim to develop and evaluate a 12-video educational intervention that addresses female-specific subject matter: the FIDES Athlete Development Programme. The study is designed as an embedded multiple case study where at least 1320 Swedish female athletes aged 13–16 will participate, in addition to their parents and their coaches. The girls will be recruited through their sports clubs, with half being exposed to the FIDES Athlete Development Programme and the other half serving as control cases. The primary outcomes are well-being and sporting experience. To further increase our understanding of the intervention and its implications, interviews and focus group interviews with a reference group of girls and focus group interviews with a randomly selected subsample of coaches and parents will also be performed. The project is approved by the Swedish ethics committee (number: 2023-05264-01) and will be carried out in compliance with the Declaration of Helsinki. Results from the project will be published open access in peer-reviewed journals, at national and international conferences, in mass media, and a PhD thesis. The anonymised data will be made openly available in a data repository.

ObjectivesAlthough demand for price transparency in healthcare is growing, variation in private payors’ payments to surgeons for oncologic resection has not been well characterised. Our aim was to assess variation of private payors’ payments to surgeons for cancer resection using data based on fee-for-service allowed amounts, billed by a large mix of commercial payors and third-party administrators.SettingFair Health (FH), an independent, not-for-profit organisation that collects and compiles claims data from payors nationwide. FH maintains the nation’s largest repository of privately billed medical and dental claims representing over 125 million covered lives in the USA.ParticipantsWe performed a cross-sectional study assessing private payer data for five common types of cancer surgery: simple mastectomy (SM), modified radical mastectomy (MRM), open lobectomy, video-assisted thoracoscopic surgery (VATS) lobectomy and radical prostatectomy during 2012 and 2013.Primary and secondary outcome measuresTo assess variation across regions, we compared regional median allowed payments. To assess intraregion variability, we evaluated the distribution of regional IQRs of allowed payments.ResultsMedian allowed payments varied substantially across regions. For SM, median allowed payments ranged from $550 in the least expensive to $1380 in the costliest region. For MRM, the range was $842–$1760, for lobectomy $326–$3066, for VATS $317–$3307 and for prostatectomy $1716–$4867. There was also substantial variation within geographic areas. For example, the mean IQRs in surgeon payment within regions were: SM $577 (25th percentile) to $1132 (75th percentile); MRM $850–$1620; lobectomy $861–$2767; VATS $1024–$3122; and prostatectomy $2286–$3563.ConclusionsThere is a wide range of variation both across and within geographic regions in allowed amounts of surgeon payments for common oncologic resections. Transparency about these allowed amounts may have a profound impact on patient and employer choice and facilitate future assessments of value in cancer care.

In order to study the current state of domestic institutional repositories (IR), the official websites of 106 Russian universities — participants of the programme “Priority-2030” and 454 scientific research institutes (SRI) of three categories approved by the Federal Agency of Scientific Organisations according to the Decree of the Government of the Russian Federation from April 8, 2009 No. 312 “On the assessment and monitoring of the effectivness of scientific organisations performing research, development and technological works of civilian designation” were monitored. A comparative analysis of IR was carried out. In the course of the study the following data were analyzed: availability of the IR on the site, navigation on the site for the convenience of using the IR, content, functionality, visibility, accessibility of materials, etc. Despite the fact that the problems of creating and developing repositories are actively studied both in Russia and abroad, the results of the study showed that the practice of maintaining IRs in Russian universities and scientific organisations is unevenly developed. In scientific institutions repositories are created much less frequently than in educational organisations. However, a half of higher education institutionsʼ IRs are closed to remote users. Access is granted only to teachers and students of educational institutions. In some repositories it is not always possible to successfully use scientific information, as not all repository objects contain the full text of the document, references to external sources are not always correct. The resource base of repositories of higher education institutions is richer than that of research institutes, because in addition to the works of their staff, it includes educational collections and student works. Mostly IRs provide text documents, very rarely other data (audio, video materials, data sets).Repositories of educational and scientific institutions are limited by chronological frameworks, including mainly documents of 1990—2022. Materials from earlier years of publication are presented in small quantities or include only metadata. The IRs of higher education institutions much more often provide wide search possibilities: choice of simple or advanced search options, use of logical operators, faceted navigation. Except for isolated cases, the IRs of research institutes have one search window with the possibility to search by keywords.Providing open access to information in repositories increases the visibility and accessibility of scientific research results, citability of publications, and promotes scientific communication.

This contribution is part of the Service Learning (SL) project “Abre tus ojos” (Open your eyes), whose main objective is to contribute to the coeducation and gender violence awareness of future education professionals. In line with the dimensions of sustainable human development, the actions developed in this SL project are directly related to helping people and groups in need. Students from different courses at the Faculty of Education of the University of Burgos have been involved in the training activities of an Association for Assistance to Victims of Sexual Assault and Domestic Violence (ADAVAS Burgos) through the design of technological educational resources that contribute to raising awareness of gender violence. As a result of the project, a web repository has been created with technological educational resources created by the students (videos, infographics, stories, games). This repository is open access and is presented as a resource contributing to the goal of Sustainable Development Goal (SDP) in relation to gender equality.

The digital transformation of apiculture initially encompasses Internet of Things (IoT) systems, incorporating sensor technologies to capture and transmit bee-centric data. Subsequently, data analysis assumes a vital role by establishing correlations between the collected data and the biological conditions of beehives, often leveraging artificial intelligence (AI) approaches. The field of precision bee monitoring has witnessed a surge in the collection of large volumes of diverse data, ranging from the hive weight and temperature to health status, queen bee presence, pests, and overall hive activity. Further, these datasets’ heterogeneous nature and lack of standardization present challenges in applying machine learning techniques directly to extract valuable insights. To address this issue, the envisioned ecosystem serves as an open and collaborative information platform, facilitating the exchange and utilization of bee monitoring datasets. The data storage architecture can process a large variety of data at high frequency, e.g., images, videos, audio, and time series data. The platform serves as a repository, providing crucial information about the condition of beehives, health assessments, pest attacks, swarming patterns, and other relevant data. Notably, this information portal is managed through a citizen scientist initiative. By consolidating data from various sources, including beekeepers, researchers, and monitoring systems, the platform offers a holistic view of the bee population’s status in any given area.

Computational Fluid Dynamics (CFD) models are being rapidly integrated into applications across all sciences and engineering. CFD harnesses the power of computers to solve the equations of fluid dynamics, which otherwise cannot be solved analytically except for very particular cases. Numerical solutions can be interpreted through traditional quantitative techniques as well as visually through qualitative snapshots of the flow data. As pictures are worth a thousand words, in many cases such visualizations are invaluable for understanding the fluid system. Unfortunately, vast mathematical knowledge is required to develop one’s own CFD software and commercial software options are expensive and thereby may be inaccessible to many potential practitioners. To that extent, CFD materials specifically designed for undergraduate education are limited. Here we provide an open-source repository, which contains numerous popular fluid solvers in 2 D (projection, spectral, and Lattice Boltzmann), with full implementations in both MATLAB and Python3. All output data is saved in the . v t k format, which can be visualized (and analyzed) with open-source visualization tools, such as VisIt or ParaView. Beyond the code, we also provide teaching resources, such as tutorials, flow snapshots, measurements, videos, and slides to streamline use of the software.

The Terrorism Research & Analysis Consortium (TRAC) is a subscription-based, open source intelligence (OSINT) repository offering academic and news coverage of topics related to international and domestic terrorism. In addition to original, expert analysis of the ideology, targets, and tactics of politically violent groups and individuals from over 2,800 consortium members described as “researchers in the fields of terrorism studies, political science, international relations, sociology, criminal justice, philosophy, and history,” TRAC provides profiles of geographic regions and cities vulnerable to terrorist activity as well as images, videos, and links to outside resources dedicated to the documentation and study of terrorism. Operating within the sphere of fast-paced OSINT, TRAC cannot be evaluated by the same criteria as traditional databases that index library-acquired, print, and electronically published materials, but this review will attempt to fairly critique the quality and usability of the product.

Recently, an academic colleague showed me a letter of complaint from an undergraduate student who demanded to know why faculty continued to set expensive textbooks for students to purchase when the material needed ?is all available for free on the internet?. At one level, the student has a point. The internet is a rich and growing source of text, images, videos, interactive freeware and more of great value to teaching and research. For example, many government reports and statistical databases are available online rather than in print and online historical documents are now accessible to anyone rather than just those few with the opportunity to access physical archives (e.g., my personal favourites http:// showcase.netins.net/web/creative/lincoln.html and http://www.oldbaileyonline.org/). Furthermore, increasing numbers of peer-reviewed research papers are available via open access, whereby authors, their institutions, or their granting bodies pay or provide a repository through which papers are available online for free to readers. Some granting bodies insist on open access for all published work arising from their support and some professional societies have gone to great lengths to place journal back issues online, in some cases back to the 19th century (e.g., the Searchable Ornithological Research Archive, http://elibrary.unm.edu/sora/). Despite these advances, there can be worms in this apple of knowledge.

Visual biosignals can be used to analyze human behavioral activities and serve as a primary resource for Facial Expression Recognition (FER). FER computational systems face significant challenges, arising from both spatial and temporal effects. Spatial challenges include deformations or occlusions of facial geometry, while temporal challenges involve discontinuities in motion observation due to high variability in poses and dynamic conditions such as rotation and translation. To enhance the analytical precision and validation reliability of FER systems, several datasets have been proposed. However, most of these datasets focus primarily on spatial characteristics, rely on static images, or consist of short videos captured in highly controlled environments. These constraints significantly reduce the applicability of such systems in real-world scenarios. This paper proposes the Facial Biosignals Time–Series Dataset (FBioT), a novel dataset providing temporal descriptors and features extracted from common videos recorded in uncontrolled environments. To automate dataset construction, we propose Visual–Temporal Facial Expression Recognition (VT-FER), a method that stabilizes temporal effects using normalized measurements based on the principles of the Facial Action Coding System (FACS) and generates signature patterns of expression movements for correlation with real-world temporal events. To demonstrate feasibility, we applied the method to create a pilot version of the FBioT dataset. This pilot resulted in approximately 10,000 s of public videos captured under real-world facial motion conditions, from which we extracted 22 direct and virtual metrics representing facial muscle deformations. During this process, we preliminarily labeled and qualified 3046 temporal events representing two emotion classes. As a proof of concept, these emotion classes were used as input for training neural networks, with results summarized in this paper and available in an open-source online repository.

BackgroundDuring adolescence, behaviours are initiated that will have substantial impacts on the individual’s short-term and long-term health and well-being. However, adolescents rarely have regular contact with health services, and available services are not always appropriate for their needs. We co-developed with adolescents a health and well-being check-up programme (Y-Check). This paper describes the methods to evaluate the feasibility, acceptability, short-term effects and cost-effectiveness of Y-Check in three African cities.MethodThis is a multi-country prospective intervention study, with a mixed-method process evaluation. The intervention involves screening, on-the-spot care and referral of adolescents through health and well-being check-up visits. In each city, 2000 adolescents will be recruited in schools or community venues. Adolescents will be followed-up at 4 months. The study will assess the effects of Y-Check on knowledge and behaviours, as well as clinical outcomes and costs. Process and economic evaluations will investigate acceptability, feasibility, uptake, fidelity and cost effectiveness.Ethics and disseminationApproval has been received from the WHO (WHO/ERC Protocol ID Number ERC.0003778); Ghana Health Service (Protocol ID Number GHS-ERC: 027/07/22), the United Republic of Tanzania National Institute for Medical Research (Clearance No. NIMR/HQ/R.8a/Vol.IX/4199), the Medical Research Council of Zimbabwe (Approval Number MRCZ/A/2766) and the LSHTM (Approval Numbers 26 395 and 28312). Consent and disclosure are addressed in the paper. Results will be published in three country-specific peer-reviewed journal publications, and one multicountry publication; and disseminated through videos, briefs and webinars. Data will be placed into an open access repository. Data will be deidentified and anonymised.Trial registration numberNCT06090006.

At a time when the learner is occupying the center stage in the whole process of knowledge dissemination and assimilation, it is time for the centers of learning, particularly the Higher Education Institutions (HEIs) to provide learning resources in multiple formats that are fully mapped to their course curricula. ‘Learners’ Trove’ is one such innovation that takes advantage of the power of Information and Communication Technologies to provide digital platform of learning resources to the students and teachers. Objective: The paper discusses the challenges faced by the students of a semi-urban college in conventional methods in accessing suitable content for their studies and how the introduction of ‘Learners’ Trove’ – a digital platform of learning resources enabled better access to learning resources in multiple formats. Technology or Method: DSpace, a popular open access repository software is used as a platform to host various formats of learning resources. Results: Multimedia learning resources such as ebooks, e journal articles, videos, audios, presentations, scanned copies of the notes distributed by the teachers in the classrooms, simulations, previous years’ question papers, etc., are mapped to the syllabi of respective programs and hosted on a searchable platform, resulting in greater student satisfaction and better performance of the students. Conclusions: There is a palpable sense of optimism among students and teachers about this digital platform and more and more users are actively making use of this platform for their academics. Clinical Impact: Owing to the ready acceptance of Learners’ Trove by the college students, many colleges run by the Society and other colleges in vicinity are now considering designing and developing a similar platform for their faculty and students.

e4912046This scoping exploratory review was aimed at analyzing the challenges that the so-called post-truth world represents for teaching in Ibero-Latin American higher education. With the increased access to online information media and social networks, netizens are increasingly exposed and may be more vulnerable to false or misleading information that seeks to generate action from emotions rather than reason (GOSWAMI, 2017, Chronicle of Higher Education). The reference search was carried out in the databases of SciELO and La Referencia, from which 26 titles out of 196 were selected. Combinations of terms such as social media, post-truth, fake news, fact-checking, education, higher education, university, teaching, critical thinking, and freedom of expression were used, with the Boolean “Y” connector. The analysis of the references resulted in six thematic categories: main concepts; realms of fake news; news verification initiatives and methods; theoretical analysis and its relationship with education; studies on the factors, perception and credibility of fake news; and addressing misinformation in higher education. The discussion presents the draft of a proposed pedagogical model to be used in higher education and to address misinformation. Includes: critical thinking habits, democratic dialogue, intellectual skepticism, research skills, use of reliable sources of information, and analysis from multiple perspectives.ResumoEsta revisão exploratória de escopo teve como objetivo analisar os desafios que o chamado mundo pós-verdade representa para o ensino na educação superior ibero-americana. Com o aumento do acesso às mídias de informação online e redes sociais, os internautas estão cada vez mais expostos e podem ficar mais vulneráveis a informações falsas ou enganosas que buscam gerar ações a partir de emoções ao invés da razão (GOSWAMI, 2017, Chronicle of Higher Education). A busca das referências foi realizada nas bases de dados SciELO e La Referencia, das quais foram selecionados 26 títulos em 196. Combinações de termos como mídia social, pós-verdade, notícias falsas, checagem de fatos, educação, ensino superior, universidade, ensino, pensamento crítico e liberdade de expressão foram usadas, com o conector booleano “Y”. A análise das referências resultou em seis categorias temáticas: conceitos principais; escopos de notícias falsas; iniciativas e métodos de verificação de notícias; análise teórica e sua relação com a educação; estudos sobre os fatores, percepção e credibilidade das notícias falsas; e aproximação a desinformação no ensino superior. A discussão apresenta o esboço de uma proposta de modelo pedagógico para ser usado no ensino superior e para lidar com a desinformação. Inclui: hábitos de pensamento crítico, diálogo democrático, ceticismo intelectual, habilidades de pesquisa, uso de fontes confiáveis de informação e análise de múltiplas perspectivas.ResumenEsta revisión exploratoria de alcance tuvo como fin analizar los desafíos que para la enseñanza en la educación superior iberoamericana representa lo que se denomina el mundo posfactual (post-truth). Con el incrementado acceso a medios de información en línea y las redes sociales, los cibernautas están cada vez más expuestos y pueden ser más vulnerables a información falsa o engañosa que busca generar acción a partir de las emociones antes que la razón (GOSWAMI, 2017, Chronicle of Higher Education). La búsqueda de referencias se efectuó en las bases de datos de SciELO y La Referencia, de la cual se seleccionaron 26 títulos de 196. Se usaron combinaciones de términos como redes sociales, posverdad, noticias falsas, verificación de hechos, educación, educación superior, universidad, enseñanza, pensamiento crítico y libertad de expresión, con el conector booleano “Y”. El análisis de las referencias dio como resultado seis categorías temáticas: conceptos principales; ámbitos de las noticias falsas; iniciativas y métodos de verificación de noticias; análisis teóricos y su relación con la educación; estudios sobre factores, percepción y credibilidad de las noticias falsas; y abordaje de la desinformación en la educación superior. En la discusión se presenta el borrador de un modelo pedagógico propuesto para ser utilizado en la educación superior y abordar la desinformación. Incluye: hábitos de pensamiento crítico, diálogo democrático, escepticismo intelectual, habilidades de investigación, uso de fuentes confiables de información y análisis de múltiples perspectivas.Palavras-chave: Ensino Superior, Modelo Pedagógico, Mundo Pós-Factual.Keywords: Higher Education, Pedagogical Model, Postfactual World.Palabras clave: Educación Superior, Modelo Pedagógico, Mundo Posfactual.ReferencesAGUIRRE, Juan Carlos; JARAMILLO, Luis Guillermo. La ciencia entre el objetivismo y el construccionismo. Cinta Moebio, v. 38, 2010, 72-90.AGUADO LÓPEZ, Eduardo; ROGEL SALAZAR, Rosario; GARDUÑO OROPEZA, Gustavo; et.al. Redalyc: una alternativa a las asimetrías en la distribución del conocimiento científico. Ciencia, Docencia y Tecnología, v. XIX n. 37, 2008, p. 11-30.ALPERÍN, Juan Pablo; BABINI, Dominique; FISCHMAN, Gustavo (editores). Open access indicators and scholarly communications in Latin America. Buenos Aires: CLACSO, UNESCO, FLACSO Brasil, PKP, SciELO, RedALyC, 2014. 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>> See video of presentation (23 min.) The Royal Society of Chemistry is committed to supporting open science in the UK and at a global level. Our recently launched Chemical Sciences Article Repository provides a subject-specific repository for hosting research outputs, including ‘green’ open access articles from our own authors, and published ‘gold’ articles. We are working with institutional repositories and other publishers to include links to articles on their own sites, ensuring maximum visibility and usage of their own content. Our aim is to ensure compliance with open access mandates is as simple as possible for researchers in the chemical sciences and related disciplines. This complements our Gold for Gold initiative launched in 2012. We plan to expand the Chemical Sciences Repository to include other types of publications, research data and tools. Currently we are building a data repository for the UK academic community as part of our EPSRC funding for hosting the National Chemical Database Service (an EPSRC mid-range facility). This will allow researchers to deposit, access and share data, but allow the flexibility to only share data privately if preferred. Using our expertise from developing ChemSpider, our flagship free chemical database, search functionality and accessibility of the data within the repository will be optimised for the chemical scientist.

This is the open repository for the open-hardware entitled&nbsp;&nbsp;<em>RaspyControl Lab: A fully open-source and real-time remote laboratory for education in automatic control systems using Raspberry Pi and Python</em>.&nbsp;This project was presented to the&nbsp;Elsevier journal (HardwareX-https://www.journals.elsevier.com/hardwarex). This remote laboratory is an initiative to build&nbsp;<strong>open-hardware experiments</strong>&nbsp;in automatic control and electronics available for everyone. Please, view the article and download the files as you desire. If you want to know more about the software employed in this project, please consult the repository:&nbsp;https://github.com/Uniminutoarduino/RaspyControlLab This <em>Repo</em> is composed of the following files: 3Dmodel.zip: Link of the TinkerCAD 3D model. Please, login into your TinkerCAD account to see the model and create a copy of the file.<strong>&nbsp;Please, don&#39;t make any change in this public file</strong>. <strong>For the model, all dimensions are in centimeters (cm). The 3D model is in scale 1:10.</strong> BillofMaterials(BOM).xlsx: Complete Bill of Materials (BOM) of the designed hardware. Dataset(identification-control).xlsx: Datasets with the different experiments from the identification of the plant to its control. MATLAB.zip: Complete Simulink models for the plant and the implemented controllers&nbsp;(P, PI, PID) in MATLAB R2018b. ProteusVSM.zip: PCB and schematic of the signal conditioning circuit in the software Proteus VSM 8.9. RaspberryPiOSImage2022-09-08.rar: Complete Raspberry PI OS image with all software components designed, implemented, and deployed for the hardware. RaspyControlLab-software.zip: Folder with all software components. Please to install this software in the Raspberry Pi from scratch, follow the instructions in the GitHub repository:&nbsp;https://github.com/Uniminutoarduino/RaspyControlLab Scripts.zip: Python 3.9 scripts with the different controllers implemented (P, PI, PID), and an additional code to empty the main control tank (T1).

AbstractLameness affects animal mobility, causing pain and discomfort. Lameness in early stages often goes undetected due to a lack of observation, precision, and reliability. Automated and non-invasive systems offer precision and detection ease and may improve animal welfare. This study was conducted to create a repository of images and videos of sows with different locomotion scores. Our goal is to develop a computer vision model for automatically identifying specific points on the sow's body. The automatic identification and ability to track specific body areas, will allow us to conduct kinematic studies with the aim of facilitating the detection of lameness using deep learning. The video database was collected on a pig farm with a scenario built to allow filming of sows in locomotion with different lameness scores. Two stereo cameras were used to record 2D videos images. Thirteen locomotion experts assessed the videos using the Locomotion Score System developed by Zinpro Corporation. From this annotated repository, computational models were trained and tested using the open-source deep learning-based animal pose tracking framework SLEAP (Social LEAP Estimates Animal Poses). The top-performing models were constructed using the LEAP architecture to accurately track 6 (lateral view) and 10 (dorsal view) skeleton keypoints. The architecture achieved average precisions values of 0.90 and 0.72, average distances of 6.83 and 11.37 in pixel, and similarities of 0.94 and 0.86 for the lateral and dorsal views, respectively. These computational models are proposed as a Precision Livestock Farming tool and method for identifying and estimating postures in pigs automatically and objectively. The 2D video image repository with different pig locomotion scores can be used as a tool for teaching and research. Based on our skeleton keypoint classification results, an automatic system could be developed. This could contribute to the objective assessment of locomotion scores in sows, improving their welfare.

This release contains data files for our publication: &quot;Stride-level analysis of mouse open field behavior using deep learning-based pose estimation&quot;. Also note that our source code is made available at our github page under the repositories deep-hrnet-mouse and gaitanalysis. Files: deep-hres-net-2019-06-28.simg: a singularity image containing everything needed to run our neural network deep-hrnet-mouse.tgz: a tar&#39;d, gzip&#39;d version of the repository at&nbsp;https://github.com/KumarLabJax/deep-hrnet-mouse (commit&nbsp;13014885861f87bf9fd5a99afdfe3153cca852a5) gaitanalysis.tgz: a tar&#39;d, gzip&#39;d version of the repository at&nbsp;https://github.com/KumarLabJax/gaitanalysis (commit 18a7f9b0192b77d94dc85ff413f0875b958c4938) infer-poseest-batch.sh: our inference script written to run on our cluster using the SLURM scheduler. This script will not work unchanged in other environments but it serves as a useful example of how to run the singularity image (deep-hres-net-2019-06-28.simg) on a cluster merged_pose_annos_2019-06-26.h5.gz: training data that was used to train the neural network that is embedded in&nbsp;deep-hres-net-2019-06-28.simg pose-est-conf.yaml: the configuration file used for training our pytorch model. This file is responsible for specifying most of the important hyperparameters during training pose-est-model.pth: the best model generated from our pytorch training. This file is embedded in our singularity image (deep-hres-net-2019-06-28.simg) strain-survey-gait-2019-11-12_summary.csv: a table of summary statistics for our gait metrics which were derived from our strain survey dataset vidplot-app.mp4: A video representation of&nbsp;gait extraction from pose estimation. The top panel shows a segment of video with a gait overlay. The bottom panel contains two plots that update with the video: an&nbsp;angular velocity plot and a hind paw speed plot. Green bouts are considered strides, left and right paws are orange and blue respectively.

AbstractHealth professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances – both good and bad—provides an opportunity for interdisciplinary research collaborations that can advance our understanding of movement that reflects technical expertise, support educational tool development, and facilitate assessment practices. In this paper we raise important ethical and legal considerations when building and sharing health professions education data. Collective data sharing may produce new knowledge and tools to support healthcare professional education. We demonstrate the utility of a data-sharing culture by providing and leveraging a database of cardio-pulmonary resuscitation (CPR) performances that vary in quality. The CPR skills performance database (collected for the purpose of this research, hosted at UK Data Service’s ReShare Repository) contains videos from 40 participants recorded from 6 different angles, allowing for 3D reconstruction for movement analysis. The video footage is accompanied by quality ratings from 2 experts, participants’ self-reported confidence and frequency of performing CPR, and the demographics of the participants. From this data, we present an Automatic Clinical Assessment tool for Basic Life Support that uses pose estimation to determine the spatial location of the participant’s movements during CPR and a deep learning network that assesses the performance quality.

This paper offers an insight into the development, use and governance of e-repositories for learning and teaching, illustrated by Eric Raymond’s bazaar and cathedral analogies and by a comparison of collection strategies that focus on content coverage or on the needs of users. It addresses in particular the processes that encourage and achieve community engagement. This insight is illustrated by one particular e-repository, the Education Media On-Line (EMOL) service. This paper draws analogies between the bazaar approach for open source software development and its possibilities for developing e-repositories for learning and teaching. It suggests in particular that the development, use and evaluation of online moving pictures and sound objects for learning and teaching can benefit greatly from the community engagement lessons provided by the development, use and evaluation of open source software. Such lessons can be underpinned by experience in the area of learning resource collections, where repositories have been classified as ‘collections-based’ or ‘user-based’. Lessons from the open source movement may inform the development of e-repositories such as EMOL in the future.Keywords: repositories; community; video; audio; collections; open sourceDOI: 10.1080/09687760701850182

Data from 255 Thais with chronic pain were collected at Chiang Mai Medical School Hospital. After the patients self-rated their level of pain, a smartphone camera was used to capture faces for 10 s at a one-meter distance. For those unable to self-rate, a video recording was taken immediately after the move that causes the pain. The trained assistant rated each video clip for the pain assessment in advanced dementia (PAINAD). The pain was classified into three levels: mild, moderate, and severe. OpenFace© was used to convert the video clips into 18 facial action units (FAUs). Five classification models were used, including logistic regression, multilayer perception, naïve Bayes, decision tree, k-nearest neighbors (KNN), and support vector machine (SVM). Out of the models that only used FAU described in the literature (FAU 4, 6, 7, 9, 10, 25, 26, 27, and 45), multilayer perception is the most accurate, at 50%. The SVM model using FAU 1, 2, 4, 7, 9, 10, 12, 20, 25, and 45, and gender had the best accuracy of 58% among the machine learning selection features. Our open-source experiment for automatically analyzing video clips for FAUs is not robust for classifying pain in the elderly. The consensus method to transform facial recognition algorithm values comparable to the human ratings, and international good practice for reciprocal sharing of data may improve the accuracy and feasibility of the machine learning's facial pain rater.

Watch VIDEO. Episciences is a publishing platform for diamond open access overlay journals. The ambition is to provide scientific communities with the technical means to produce high-quality, cost-effective journals in line with FAIR principles. The process is based on open repositories (arXiv; Zenodo; HAL). All the published content of a journal is hosted on repositories. Episciences is therefore set up as a service layer for repositories, using them as input and output for open access publication. The platform was launched in 2013 as a peer review service for preprints hosted in open archives. Over the years, the list of services offered has grown and adapted to new trends in scientific publications. For example, peer review reports are now a new type of content that can be hosted in repositories, along with datasets and software code for publications. Support for these new objects in Episciences increases transparency and reproducibility of science. Support for datasets and software code also means that both data journals and software journals can be easily created on top of repositories. The platform has implemented new protocols and workflows promoted by the Confederation of Open Access Repositories (COAR) Next Generation Working Group, such as COAR Notify and SignPosting. It has enabled us to build innovative new services for researchers on top of the HAL repository. We have also connected Episciences to other open science services such as OpenAIRE Graph, OpenCitations and Scholexplorer. This has allowed us to add new services at the same time for journals and the HAL repository. The presentation will explain how Episciences and overlay journals in general can be a bridge between publications, open repositories, data and software repositories - and more broadly with open science infrastructures.

AbstractWith the success of collaborative knowledge-building portals, such as Wikipedia, Stack Overflow, Quora, and GitHub, a class of researchers is driven towards understanding the dynamics of knowledge building on these portals. Even though collaborative knowledge building portals are known to be better than expert-driven knowledge repositories, limited research has been performed to understand the knowledge building dynamics in the former. This is mainly due to two reasons; first, unavailability of the standard data representation format, second, lack of proper tools and libraries to analyze the knowledge building dynamics.We describe Knowledge Data Analysis and Processing Platform (KDAP), a programming toolkit that is easy to use and provides high-level operations for analysis of knowledge data. We propose Knowledge Markup Language (Knol-ML), a generic representation format for the data of collaborative knowledge building portals. KDAP can process the massive data of crowdsourced portals like Wikipedia and Stack Overflow efficiently. As a part of this toolkit, a data-dump of various collaborative knowledge building portals is published in Knol-ML format. The combination of Knol-ML and the proposed open-source library will help the knowledge building community to perform benchmark analysis.Link of the repository: Verma et al. (2020)Video Tutorial: Verma et al. (2020)Supplementary Material: Verma et al. (2020)

&gt;&gt; See video of presentation (25 min.)The field of linguistics has taken a quantitative turn in recent years (Janda 2013). The majority of conference presentations, articles, and books in our field now involve some kind of quantitative analysis of language data, and results are often measured using statistical methods. However, best practices in terms of quantitative analysis in linguistics are still under development. Public archiving and sharing of data and statistical code are needed in order to move the field forward by providing standards and examples that can be followed.The Tromsø Repository of Language and Linguistics, also known as “TROLLing”, at http://opendata.uit.no/ is designed to meet this need. TROLLing is an international archive of linguistic data and statistical code that is provided as a free professional service to the worldwide community of linguists. TROLLING shares the platform of the Harvard Dataverse; assigns a permanent URL to each post (currently a “handle” URL, but will convert to DOI during summer 2014); collects metadata that are searchable through the site; and is professionally managed by the university library in Tromsø and an international Steering Committee.Authors of books and articles published in linguistics journals are welcome to deposit their data in TROLLing, along with citations of their articles. Conversely, authors can reference their data by citing their TROLLing posts in their publications. Additionally, researchers are welcome to archive completed studies on the TROLLing site regardless of whether or not the results are published in scholarly venues.TROLLing went live for public use in the summer of 2014. We are currently working on spreading the word to our colleagues by asking editors of major scholarly journals to recommend it to authors, holding workshops at meetings of professional organizations, and using listservs.This presentation will demonstrate how TROLLing works, what kinds of metadata it collects, how that data can be harvested and searched, and what kinds of data can be archived at this site.Janda, Laura A. 2013. “Quantitative Methods in Cognitive Linguistics”. In Laura A. Janda, ed. Cognitive Linguistics: The Quantitative Turn. The Essential Reader, 1-32. Berlin: De Gruyter Mouton.

See video of the presentation.Research Consulting undertook a study for Knowledge Exchange that looked at the relation between open-access policies and services. Drawing on a consultation with funders, institutions and service providers across the five Knowledge Exchange countries and beyond, it identifies the key services needed to successfully implement open-access policies, and suggests priorities for action in support of an open scholarly infrastructure.The study reviewed a wide range of OA policies from public research funders, private research funders and selected high education institutions from the five Knowledge Exchange countries; it finds that although policies vary considerably across countries, they generally share key requirements for green OA, gold OA and monitoring and compliance, with the clearest differences being in the emphasis placed on those requirements.The study also provided a thorough review and classification of OA services, and identified the ones that are indispensable for the successful implementation of all OA policies. In particular, it reviewed the importance for author, institutional and funders’ workflows of: (1) underpinning services such as standards, metadata and identifiers (e.g. ORCID and FundREF); (2) abstracting and indexing services, such as the Directory of Open Access Journal; (3) support and dissemination services such as SHERPA; and (4) green OA services encompassing a wide range of repository and related services designed to improve interoperability across the green OA landscape.Finally, we looked at critical challenges facing OA services, including uncertainties over their financial stability and governance models, that hamper – or can hamper in the future – their effective use and continued development, and we highlighted priorities for action from decision makers in the scholarly community. These include both specific recommendations to act in support of critical services, as well as strategic recommendations covering the actions and investments needed to create a coherent OA service infrastructure so as to allow more efficient and effective compliance with OA services.

With today’s computer and telecommunications technologies, every young person can have a quality education regardless of his or her place of birth. This is the dream that Open Educational Resources (OERs), when viewed as a right rather than a privilege, are directed to realize. For developing countries, we propose a type of OER initiative that leverages not only technology but also the skills of the in-class teacher, that utilizes not only the Internet but also lower-tech delivery platforms, and that is created not only by developed countries of the West but also by educators in many countries worldwide. We outline the design of a cross-border, collaborative learning and teaching system called the Blended Learning Open Source Science or Math Studies Initiative (BLOSSOMS), with an associated partnership network established for its implementation in developing countries. BLOSSOMS is to develop a large, free repository of blended-learning video modules for high school math and science classes, created by giftedvolunteer educators from around the world and designed to offer potentially transformative learning exercises that will enhance critical thinking skills and retain students’ interest in math and science. The initiative has been designed and developed within a multinational network of partner organizations in the developing world, a characteristic that distinguishes it from many other OER projects.

This presentation looks at the history of Open Access from the perspective of experienced software engineers in the sector. Over almost 25 years, Richard has been involved in local, national and international efforts in all aspects of the development of repositories and the infrastructure services that support them. Steve came into this field bright-eyed from University a decade ago. It is about what we’ve actually seen be developed and become reality in that time, and how it connects to the goals and desires of the community. It asks what lessons we can learn from that time, and what that might tell us about the future of OA, and whether it is alive and well or under threat. What is the role that the repository has to play in the coming publishing paradigms which aim to improve global publishing equity (such as Diamond and Overlay Journals) and how can we as a community enable it. See this presentation in this video recording.

See video of the presentation.During its first two years of operation SCOAP3 funded some 8,000 articles via the transformation of ten existing High-Energy Physics journals into Gold Open Access at no costs for authors. SCOAP3, the Sponsoring Consortium for Open Access Publishing in Particle Physics started in January 2014 after several years of preparation. The initiative is a collaboration of some 3,000 libraries, research institutions and funding agencies from 45 countries and IGOs and is hosted at CERN, the European Organization for Nuclear Research. Alexander Kohls, the Operations Manager of SCOAP3 will present a review of the first two years of SCOAP3. The specific business model of the initiative ensures a central management of relations with the publishers, and efficient and easy to administer APC payment process and article compliance validation using a dedicated global repository. The presentation will show how SCOAP3 performed in terms of operational efforts, APCs and benefits for the scientific community. The compliance of publishers with policies will be analyzed and all aspects will be reviewed in context of comparable Open Access initiatives in Europe and its potential to expand into other fields. Nina Karlstrøm will add the view of a National Contact Point and present benefits and challenges for national organizations within the SCOAP3 network using her organization CRIStin as an example.

In this episode, Kim Huijpen from the Association of Universities in the Netherlands (VSNU) tells about the programme following the publication of Room for Everyone's Talent, a position paper aiming for a wholescale overhaul of the practices of research assessment in the Netherlands. The podcast interview was made in conjunction with the 16th Munin Conference on Scholarly publishing in November 2021 (see abstract and video recording of Kim Huijpen's conference paper).&#x0D; The nation-wide follow-up programme, named Recognition &amp; Rewards, is coordinated by Kim Huijpen. In her dialogue with stakeholder at Dutch institutions, she often meets dilemmas and concerns that are familiar from similar debates in other countries. Nevertheless, more and more institutions are now implementing the the principles and guidelines laid out in the 2019 position paper, thereby stimulating the growth of open science practices and the diversification of career paths in Dutch academia. The on-going process can be followed on several platforms, including:&#x0D; Twitter: https://twitter.com/recogrewards?lang=en LinkedIn: https://www.linkedin.com/company/recognition-rewards/Youtube: Recognition &amp; Rewards playlist Newsletter: https://recognitionrewards.nl/blog/newsletter-recognition-rewards/DORA Repository: Updated information on the Dutch Recognition &amp; Rewards Programme &#x0D; See also a recap of the Recognition &amp; Rewards Festival (January 2021) and recorded webinars on rewarding teaching (November 2020). A summary of The Dutch Recognition &amp; Rewards Programme can also be found in the DORA Repository

Aim: The goal of this market research study was to determine the usability of a single-dose prefilled injector (SelfJect™) for administration of Acthar ® Gel (manufactured by Mallinckrodt Pharmaceuticals, UK) in patients with inflammatory diseases by obtaining feedback from patient and practitioner user groups in the US. Materials &amp; methods: Patients and healthcare professionals (HCPs) representing relevant therapeutic areas were enrolled in the study between February and March 2021. SelfJect was mailed to patients and HCPs prior to 90-min virtual video-recorded focus group sessions and 60-min 1:1 virtual interviews, respectively. Patients completed an online assignment prior to the group session, which included instructions on how to use SelfJect and questions about their initial reaction while handling the device. HCPs were instructed to not open the package until the interview. Feedback from patients and HCPs were captured by open-ended questions and ranking scales. Results: Twelve patients and 42 HCPs participated in the study. Most patients (9/12 [75%]) and HCPs (38/42 [90%]) had experience with injectable medications, and 7/12 (58%) and 30/42 [71%] had experience with Acthar injections, respectively. Most patients and HCPs reported that key benefits of SelfJect were accurate dose delivery and ease of use, including the ergonomic handle and elimination of drawing Acthar from a vial into a syringe. Patients expressed some concerns about storage and disposal, but the need to store SelfJect would not deter them from using it. Most patients (9/12 [75%]) felt prepared to inject Acthar after reviewing the instructions. HCPs anticipated that 75% to 100% of patients would benefit switching from the vial to SelfJect. Conclusion: All participants expressed positive perceptions for SelfJect including easy use, few preparation steps and potential reduced anxiety due to needle phobia. These attributes may help treatment adherence for patients and caregivers.

See video of the presentation.The transformation from a subscription based journal market to a fee-based Open Access publishing requires a monitoring of APC expenditures. This is not only necessary to ensure price transparency on a developing APC market. In fact funding organizations, library consortia and other stakeholders need a valid data base to be able to evaluate Open Access funding policies or transformation strategies.The presentation will give a short overview about existing initiatives to collect APC data and will then introduce the new project “INTACT - Transparent Infrastructure for fee-based Open Access publishing”. The project, which is funded by the “German Research Foundation” (DFG) and supported by the “DINI working group Electronic Publishing” is a cooperation of Bielefeld University Library, the “Institute for Interdisciplinary Studies of Science” (I2SoS) at Bielefeld University and the Max Planck Digital Library (MPDL). The INTACT approach combines a bibliometric analysis of fee-based Open Access publishing in academic institutions with establishing a standardised reporting and open data service for APC data. By working together with the ESAC initiative (http://esac-initiative.org/), the project wants to increase the efficiency of Open Access publishing workflows in universities and research organizations together with leading Open Access publishers.INTACT uses Open Science workflows for aggregation, use and reuse of APC data. Even before the official start, 21 german universities and 5 research society funds are providing their data into a GitHub-Repository (http://openapc.github.io/), the datasets are available under a Open Database License. Due to DFG funding policy for Open Access publication funds in Germany, the whole dataset releases currently information on more than 3.200 articles in real open access journals, which charge publication fees, and total expenditures for more than 4 million EURO. But information about Open Access articles in toll-access journals ("hybrid") are provided as well. Further more, the presentation discusses basic requirements for creating an international network for analyzing and monitoring fee-based Open Access publishing.

See video of the presentation.The Nordic co-operation is one of the world’s most extensive forms of regional collaboration involving Denmark, Finland, Iceland, Norway, Sweden, and the Faroe Islands, Greenland, and Åland. The co-operation is realized through the Nordic Council of Ministers (NCM) and the Nordic Council with a yearly budget of approx. $ 175,000,000.The NCM has recently initiated an Open Access project which aims at defining an OA mandating policy and developing an open repository for all publications either published or funded by the NCM.In order to widen the scope of the NCM initiative and to align with international OA discussions the NCM has entered into dialogue with the research councils of the Nordic countries as well as with the European Commission (the NCM signed a Memorandum of Understanding with the EC about the implementation of the ERA in July 2012) and UNESCO. Alongside this dialogue the NCM is part of a network of intergovernmental organizations (IGO) where OA is high on the agenda (e.g. The World Bank and UNESCO already have published policies).The NCM wears at least three different hats in its OA mandate defining process: One as an institutional publisher, another as a research funder, and a third as an IGO. This split role gives several strengths and opportunities but also some weaknesses – and perhaps there are even some threats involved! For sure, it makes the discussion about the content of the mandate, the objectives of the NCM, and compliance measures more complex and interesting.The presentation will share with the audience:* a SWOT analysis of the NCM regional approach to formulating an OA mandate,* concrete examples and insight into the making of an OA mandate – the discussions, dilemmas, and dangers that arise during the process,* considerations on how to ensure compliance with the mandate.

Purpose: Dementia from Alzheimer's disease (AD) is characterized primarily by a significant decline in memory abilities; however, language abilities are also commonly affected and may precede the decline of other cognitive abilities. To study the progression of language, there is a need for open-access databases that can be used to build algorithms to produce translational models sensitive enough to detect early declines in language abilities. DementiaBank is an open-access repository of transcribed video/audio data from communicative interactions from people with dementia, mild cognitive impairment (MCI), and controls. The aims of this tutorial are to (a) describe the newly established standardized DementiaBank discourse protocol, (b) describe the Delaware corpus data, and (c) provide examples of automated linguistic analyses that can be conducted with the Delaware corpus data and describe additional DementiaBank resources. Method: The DementiaBank discourse protocol elicits four types of discourse: picture description, story narrative, procedural, and personal narrative. The Delaware corpus currently includes data from 20 neurotypical adults and 33 adults with MCI from possible AD who completed the DementiaBank discourse protocol and a cognitive–linguistic battery. Language samples were video- and audio-recorded, transcribed, coded, and uploaded to DementiaBank. The protocol materials and transcription programs can be accessed for free via the DementiaBank website. Results: Illustrative analyses show the potential of the Delaware corpus data to help understand discourse metrics at the individual and group levels. In addition, they highlight analyses that could be used across TalkBank's other clinical banks (e.g., AphasiaBank). Information is also included on manual and automatic speech recognition transcription methods. Conclusions: DementiaBank is a shared online database that can facilitate research efforts to address the gaps in knowledge about language changes associated with MCI and dementia from AD. Identifying early language markers could lead to improved assessment and treatment approaches for adults at risk for dementia.