cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13292165
title: Supplementary Material for: Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables

description: <b><i>Introduction:</i></b> A major challenge in the monitoring of rehabilitation is the lack of long-term individual baseline data which would enable accurate and objective assessment of functional recovery. Consumer-grade wearable devices enable the tracking of individual everyday functioning prior to illness or other medical events which necessitate the monitoring of recovery trajectories. <b><i>Methods:</i></b> For 1,324 individuals who underwent surgery on a lower limb, we collected their Fitbit device data of steps, heart rate, and sleep from 26 weeks before to 26 weeks after the self-reported surgery date. We identified subgroups of individuals who self-reported surgeries for bone fracture repair (<i>n</i> = 355), tendon or ligament repair/reconstruction (<i>n</i> = 773), and knee or hip joint replacement (<i>n</i> = 196). We used linear mixed models to estimate the average effect of time relative to surgery on daily activity measurements while adjusting for gender, age, and the participant-specific activity baseline. We used a sub-cohort of 127 individuals with dense wearable data who underwent tendon/ligament surgery and employed XGBoost to predict the self-reported recovery time. <b><i>Results:</i></b> The 1,324 study individuals were all US residents, predominantly female (84%), white or Caucasian (85%), and young to middle-aged (mean age 36.2 years). We showed that 12 weeks pre- and 26 weeks post-surgery trajectories of daily behavioral measurements (steps sum, heart rate, sleep efficiency score) can capture activity changes relative to an individual’s baseline. We demonstrated that the trajectories differ across surgery types, recapitulate the documented effect of age on functional recovery, and highlight differences in relative activity change across self-reported recovery time groups. Finally, using a sub-cohort of 127 individuals, we showed that long-term recovery can be accurately predicted, on an individual level, only 1 month after surgery (AUROC 0.734, AUPRC 0.8). Furthermore, we showed that predictions are most accurate when long-term, individual baseline data are available. <b><i>Discussion:</i></b> Leveraging long-term, passively collected wearable data promises to enable relative assessment of individual recovery and is a first step towards data-driven intervention for individuals.
DOI: 10.6084/m9.figshare.13292165.v1
title: Supplementary Material for: Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables

description: <b><i>Introduction:</i></b> A major challenge in the monitoring of rehabilitation is the lack of long-term individual baseline data which would enable accurate and objective assessment of functional recovery. Consumer-grade wearable devices enable the tracking of individual everyday functioning prior to illness or other medical events which necessitate the monitoring of recovery trajectories. <b><i>Methods:</i></b> For 1,324 individuals who underwent surgery on a lower limb, we collected their Fitbit device data of steps, heart rate, and sleep from 26 weeks before to 26 weeks after the self-reported surgery date. We identified subgroups of individuals who self-reported surgeries for bone fracture repair (<i>n</i> = 355), tendon or ligament repair/reconstruction (<i>n</i> = 773), and knee or hip joint replacement (<i>n</i> = 196). We used linear mixed models to estimate the average effect of time relative to surgery on daily activity measurements while adjusting for gender, age, and the participant-specific activity baseline. We used a sub-cohort of 127 individuals with dense wearable data who underwent tendon/ligament surgery and employed XGBoost to predict the self-reported recovery time. <b><i>Results:</i></b> The 1,324 study individuals were all US residents, predominantly female (84%), white or Caucasian (85%), and young to middle-aged (mean age 36.2 years). We showed that 12 weeks pre- and 26 weeks post-surgery trajectories of daily behavioral measurements (steps sum, heart rate, sleep efficiency score) can capture activity changes relative to an individual’s baseline. We demonstrated that the trajectories differ across surgery types, recapitulate the documented effect of age on functional recovery, and highlight differences in relative activity change across self-reported recovery time groups. Finally, using a sub-cohort of 127 individuals, we showed that long-term recovery can be accurately predicted, on an individual level, only 1 month after surgery (AUROC 0.734, AUPRC 0.8). Furthermore, we showed that predictions are most accurate when long-term, individual baseline data are available. <b><i>Discussion:</i></b> Leveraging long-term, passively collected wearable data promises to enable relative assessment of individual recovery and is a first step towards data-driven intervention for individuals.
DOI: 10.5281/zenodo.4292003
title: OSeaIce post-processed data

description: These are the EC-Earth3 post-processed data that can be used with the associated Python scripts (https://doi.org/10.5281/zenodo.4291971) in order to produce the figures of the paper that summarizes the results arising from the sensitivity experiments carried out in the framework of the EU Horizon 2020 OSeaIce project (Marie Slodowska-Curie project, grant agreement no. 834493): Docquier et al. (2020). Impact of ocean heat transport on the Arctic sea-ice decline: A model study with EC-Earth3. Accepted in Climate Dynamics.
DOI: 10.5281/zenodo.4277890
title: OSeaIce post-processed data

description: These are the EC-Earth3 post-processed data that can be used with the associated Python scripts (https://doi.org/10.5281/zenodo.4291971) in order to produce the figures of the paper that summarizes the results arising from the sensitivity experiments carried out in the framework of the EU Horizon 2020 OSeaIce project (Marie Slodowska-Curie project, grant agreement no. 834493): Docquier et al. (2020). Impact of ocean heat transport on the Arctic sea-ice decline: A model study with EC-Earth3. Accepted in Climate Dynamics.
DOI: 10.6084/m9.figshare.13292408.v1
title: Supplementary Material for: “It’s Not as Simple as Just Looking at One Chart”: A Qualitative Study Exploring Clinician’s Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data

description: <b><i>Background:</i></b> Data derived from wearable activity trackers may provide important clinical insights into disease progression and response to intervention, but only if clinicians can interpret it in a meaningful manner. Longitudinal activity data can be visually presented in multiple ways, but research has failed to explore how clinicians interact with and interpret these visualisations. In response, this study developed a variety of visualisations to understand whether alternative data presentation strategies can provide clinicians with meaningful insights into patient’s physical activity patterns. <b><i>Objective:</i></b> To explore clinicians’ opinions on different visualisations of actigraphy data. <b><i>Methods:</i></b> Four visualisations (stacked bar chart, clustered bar chart, linear heatmap and radial heatmap) were created using Matplotlib and Seaborn Python libraries. A focus group was conducted with 14 clinicians across 2 hospitals. Focus groups were audio-recorded, transcribed and analysed using inductive thematic analysis. <b><i>Results:</i></b> Three major themes were identified: (1) the importance of context, (2) interpreting the visualisations and (3) applying visualisations to clinical practice. Although clinicians saw the potential value in the visualisations, they expressed a need for further contextual information to gain clinical benefits from them. Allied health professionals preferred more granular, temporal information compared to doctors. Specifically, physiotherapists favoured heatmaps, whereas the remaining members of the team favoured stacked bar charts. Overall, heatmaps were considered more difficult to interpret. <b><i>Conclusion:</i></b> The current lack of contextual data provided by wearables hampers their use in clinical practice. Clinicians favour data presented in a familiar format and yet desire multi-faceted filtering. Future research should implement user-centred design processes to identify ways in which all clinical needs can be met, potentially using an interactive system that caters for multiple levels of granularity. Irrespective of how data is displayed, unless clinicians can apply it in a manner that best supports their role, the potential of this data cannot be fully realised.
DOI: 10.6084/m9.figshare.13292372
title: Supplementary Material for: The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community

description: <b><i>Introduction:</i></b> Future digital health research hinges on methodologies to conduct remote clinical assessments and in-home monitoring. The Collaborative Aging Research Using Technology (CART) initiative was introduced to establish a digital technology research platform that could widely assess activity in the homes of diverse cohorts of older adults and detect meaningful change longitudinally. This paper reports on the built end-to-end design of the CART platform, its functionality, and the resulting research capabilities. <b><i>Methods:</i></b> CART platform development followed a principled design process aiming for scalability, use case flexibility, longevity, and data privacy protection while allowing sharability. The platform, comprising ambient technology, wearables, and other sensors, was deployed in participants’ homes to provide continuous, long-term (months to years), and ecologically valid data. Data gathered from CART homes were sent securely to a research server for analysis and future data sharing. <b><i>Results:</i></b> The CART system was created, iteratively tested, and deployed to 232 homes representing four diverse cohorts (African American, Latinx, low-income, and predominantly rural-residing veterans) of older adults (<i>n</i> = 301) across the USA. Multiple measurements of wellness such as cognition (e.g., mean daily computer use time = 160–169 min), physical mobility (e.g., mean daily transitions between rooms = 96–155), sleep (e.g., mean nightly sleep duration = 6.3–7.4 h), and level of social engagement (e.g., reports of overnight visitors = 15–45%) were collected across cohorts. <b><i>Conclusion:</i></b> The CART initiative resulted in a minimally obtrusive digital health-enabled system that met the design principles while allowing for data capture over extended periods and can be widely used by the research community. The ability to monitor and manage health digitally within the homes of older adults is an important alternative to in-person assessments in many research contexts. Further advances will come with wider, shared use of the CART system in additional settings, within different disease contexts, and by diverse research teams.
DOI: 10.6084/m9.figshare.13292381
title: Supplementary Material for: The Role of Digital Navigators in Promoting Clinical Care and Technology Integration into Practice

description: As the role of technology expands in healthcare, so does the need to support its implementation and integration into the clinic. The concept of a new team member, the digital navigator, able to assume this role is introduced as a solution. With a digital navigator, any clinic today can take advantage of digital health and smartphone tools to augment and expand existing telehealth and face to face care. The role of a digital navigator is suitable as an entry level healthcare role, additional training for an experienced clinician, and well suited to peer specialists. To facilitate the training of digital navigators, we draw upon our experience in creating the role and across health education to introduce a 10-h curriculum designed to train digital navigators across 5 domains: (1) core smartphone skills, (2) basic technology troubleshooting, (3) app evaluation, (4) clinical terminology and data, and (5) engagement techniques. This paper outlines the curricular content, skills, and modules for this training and features a rich online supplementary Appendix with step by step instructions and resources.
DOI: 10.6084/m9.figshare.13292381.v1
title: Supplementary Material for: The Role of Digital Navigators in Promoting Clinical Care and Technology Integration into Practice

description: As the role of technology expands in healthcare, so does the need to support its implementation and integration into the clinic. The concept of a new team member, the digital navigator, able to assume this role is introduced as a solution. With a digital navigator, any clinic today can take advantage of digital health and smartphone tools to augment and expand existing telehealth and face to face care. The role of a digital navigator is suitable as an entry level healthcare role, additional training for an experienced clinician, and well suited to peer specialists. To facilitate the training of digital navigators, we draw upon our experience in creating the role and across health education to introduce a 10-h curriculum designed to train digital navigators across 5 domains: (1) core smartphone skills, (2) basic technology troubleshooting, (3) app evaluation, (4) clinical terminology and data, and (5) engagement techniques. This paper outlines the curricular content, skills, and modules for this training and features a rich online supplementary Appendix with step by step instructions and resources.
DOI: 10.25646/7687
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.1285/i15912221v28p1
title: Frontespizio e pagine iniziali
DOI: 10.1285/i15912221v28p5
title: What perspectives for archaeology today in Egypt? The case of Soknopaiou Nesos (Dime es-Seba)

description: The article focuses on some problems of archaeological work in Egypt today, in the light of the experience gained during 18 years of work at Dime es-seba (fayyum, Egypt).
DOI: 10.1285/i15912221v28p13
title: Biographie, Werk und Rezeption des Cornelius Gallus: Ein neues Gesamtbild

description: In this article, the author offers a complete portrait of c. cornelius gallus as a statesman and poet. all testimonia about his life and works are presented and discussed critically. Certain neglected testimonies have been taken into consideration in addition to the standard profiles. the bibliography has been updated. due to the contradictory nature of the sources, preference has been given to pieces of information provided by direct sources such as inscriptions and papyri in terms of reliability. Furthermore, the iconography is listed exhaustively. Finally, the reception the of gallus' works and figure in late antiquity and the medieval forgeries are examined.
DOI: 10.1285/i15912221v28p33
title: Selection of Literature extracts in School Manuals

description: The questions raised already by o. guéraud and P. Jouguet are still tantalizing contemporary scholars. This paper attempts to discuss them once again. It focuses on guessing the criteria that lead to teaching in a classroom a particular selection of literature extracts and on whether the compilers of school manuals had immediate access to complete literary works. The paper concludes that the criteria by which the extracts were chosen for educational purposes were very precise and persistant throughout antiquity. It also concludes that it is highly unlikely that students and teachers in egypt used anthologies and not whole works as their only source of literary knowledge, since it cannot be proven that there was some kind of "archetype" anthology, from which all school texts and quotations where drawn.
DOI: 10.1285/i15912221v28p45
title: Tell-tale heads: The office of kephalaiotes in the papyri

description: Kephalaiotai performed duties in a variety of fields and contributed to the management of many areas of egypt. They were engaged in financial affairs, tax collection and as chief eirenarchs were responsible for controlling and enforcing order. They were headmen of professional unions responsible for their efficient management and operation, which contributed to the growth of the agricultural and retail economy.
DOI: 10.1285/i15912221v28p59
title: Some Remarks on the Legal Status of the Unborn and the Newborn in Greco-Roman Egypt: Human Being or Future Heir?

description: The status of the unborn child as a human being in the ancient world has raised many different opinions between scholars from different scientific fields. Though the literary and archaeological evidence for the status and life of children in antiquity has been thoroughly discussed, some aspects have received less detailed examination, like the legal and property rights of the fetus and the newborn. Papyrus documents, mainly petitions, private contracts and letters, can offer valuable information about the attitude towards the fetus and the infant in antiquity. This paper will shed light on the status of the unborn and newborn children in greco-Roman society in the light of papyrus documents and investigate whether unborn and newborn children were legally protected as (potential) human beings and/or as future legal heirs of the patrimony.
DOI: 10.1285/i15912221v28p81
title: The Hedgehog Goddess Abaset

description: The egyptian goddess abaset was a minor hedgehog-deity. her presence was attested only in the 26th dynasty (656-525 bc). She was solely venerated on the eastern fringe of el-bawiti, the capital of bahariyya oasis, which is situated far from the nile Valley. This paper aims at presenting a reliable interpretation for the name of the goddess abaset. It focuses on the history and the development of her cult. The ancient egyptian depicted abaset in an anthropomorphic form. The crown of hedgehog was specific to abaset; it is a key element in the identification of the goddess, especially if the scene was not labelled with her name. The exact reason for this iconography is unclear. The occurrence of the images of abaset and the use of her legends was restricted to specific location, i. e. el-bawiti.
DOI: 10.1285/i15912221v28p103
title: Schede bibliografiche e recensioni
DOI: 10.1285/i15912221v28p105
title: Palaeographia Papyrologica XVI (2018-2019)
DOI: 10.1285/i15912221v28p113
title: Libri ricevuti
DOI: 10.1285/i15912221v28p121
title: Indice
DOI: 10.1285/i15912221v28p123
title: Norme per i collaboratori
DOI: 10.1285/i15912221v28p124
title: Colophon
DOI: 10.5281/zenodo.4266114
title: Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory -- data release

description: This submission contains the Markov-Chain Monte Carlo data required to reproduce central results of the paper "Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory" (https://arxiv.org/abs/2009.14768). The Python code required to read and analyse the data can be found under https://github.com/andreasjuettner/Finite-Size-Scaling-Analysis (the relevant release is attached to 10.5281/zenodo.4290508). For any questions please get in touch: juettner@soton.ac.uk.
description: LDD is supported by Royal Society Wolfson Research Merit Award, WM140078. A.J. and K.S. further acknowledge funding from STFC consolidated grant ST/T000775/1.This work was performed using the Cambridge Service for Data Driven Discovery (CSD3), part of which is operated by the University of Cambridge Research Computing on behalf of the STFC DiRAC HPC Facility(www.dirac.ac.uk). The authors acknowledge the use of the IRIDIS High-Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.
DOI: 10.5281/zenodo.4266113
title: Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory -- data release

description: This submission contains the Markov-Chain Monte Carlo data required to reproduce central results of the paper "Nonperturbative infrared finiteness in super-renormalisable scalar quantum field theory" (https://arxiv.org/abs/2009.14768). The Python code required to read and analyse the data can be found under https://github.com/andreasjuettner/Finite-Size-Scaling-Analysis (the relevant release is attached to 10.5281/zenodo.4290508). For any questions please get in touch: juettner@soton.ac.uk.
description: LDD is supported by Royal Society Wolfson Research Merit Award, WM140078. A.J. and K.S. further acknowledge funding from STFC consolidated grant ST/T000775/1.This work was performed using the Cambridge Service for Data Driven Discovery (CSD3), part of which is operated by the University of Cambridge Research Computing on behalf of the STFC DiRAC HPC Facility(www.dirac.ac.uk). The authors acknowledge the use of the IRIDIS High-Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.
DOI: 10.5281/zenodo.4266119
title: Replication package for Nonparametric Analysis of Time-Inconsistent Preferences

description: Stata datasets, R and Julia files.
DOI: 10.5281/zenodo.4064748
title: Replication package for Nonparametric Analysis of Time-Inconsistent Preferences

description: Stata datasets, R and Julia files.