cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: New techniques in Building Surveying
Creators: name: Petzold, Frank
name: Bartels, Heiko
name: Donath, Dirk
Publisher: name: Bauhaus-Universität Weimar
Year: 2004
Subjects: subject: Architektur
subject: Verteiltes System
subject: Bausubstanz
subject: 620

description: Building activities in the construction industry in Germany increasingly concentrate on building measures in or involving the existing built environment. Before planning can begin, buildings must be surveyed in whole or in part with the surveying of geometric data playing a dominant role. The geometric survey is typically undertaken using geodetic or photogrammetric measuring techniques and equipment that have been adapted for use in building surveying. Accordingly appropriate technical knowledge is required in order to be able to operate them as well as a considerable financial investment. Such equipment and surveying methods are usually adaptations from other disciplines. The paper discusses and presents approaches to developing “new” equipment for building surveying, devised with the needs of building surveying in mind – redesigns or new designs for surveying tools. The designs are the result of an inter-disciplinary project between the Faculty of Architecture and the Faculty of Product Design at the Bauhaus Universität Weimar.
description: X. International Conference on Computing in Civil and Building Engineering: proceedings ; [ICCCBE], Weimar, June 02-04, 2004, vol. 2004
A maturity framework for cash and voucher assistance in humanitarian supply chains
Creators: name: Anjomshoae, Ali
name: Maghsoudi, Amin
name: Banomyong, Ruth
name: Kunz, Nathan
Publisher: name: Taylor & Francis
Year: 2025
Subjects: Humanitarian logistics
humanitarian supply chains
maturity framework
cash and voucher assistance
performance measurement
CVA measures

description: Cash and voucher assistance (CVA) has grown substantially as an important alternative to in-kind aid in global humanitarian efforts, yet a notable gap remains in addressing CVA efficiency and establishing a framework for evaluating the maturity of CVA programmes. This paper proposes a CVA maturity framework as a structured approach to supporting humanitarian organisations (HOs) in assessing their maturity for implementing CVA programmes. Serving as a guide and measurement tool, this paper employs a mixed-methods approach, incorporates triangulation and inductive methods to establish key dimensions and measures. To ensure its practical applicability, the framework was validated with a survey of international HO professionals. The proposed framework delineates maturity stages (initial, structured and optimised) that represent varying levels of CVA delivery capability and enabling context. This manuscript’s unique contribution lies in its tailored maturity framework for CVA programmes in humanitarian supply chains.
Additional file 3 of Endothelial cell-derived extracellular vesicles modulate the therapeutic efficacy of mesenchymal stem cells through IDH2/TET pathway in ARDS
Creators: name: Wu, Xiao
name: Tang, Ying
name: Lu, Xinxing
name: Liu, Yigao
name: Liu, Xu
name: Sun, Qin
name: Wang, Lu
name: Huang, Wei
name: Liu, Airan
name: Liu, Ling
name: Chao, Jie
name: Zhang, Xiwen
name: Qiu, Haibo
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Science Policy
subject: Hematology

description: Supplementary Material 3
sj-docx-1-cjr-10.1177_07340168221142909 - Supplemental material for Pandemic Policing and Community Engagement: Preparedness, Legitimacy and Public Support During the COVID-19 Crisis in Nigeria
Creators: name: Aborisade, Richard Abayomi
name: Adeleke, Oladele Adelere
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental material, sj-docx-1-cjr-10.1177_07340168221142909 for Pandemic Policing and Community Engagement: Preparedness, Legitimacy and Public Support During the COVID-19 Crisis in Nigeria by Richard Abayomi Aborisade and Oladele Adelere Adeleke in Criminal Justice Review
The detection of socio-economic impacts of protected area creation.
Creators: name: Specht, Alison
name: Correa, Pedro
name: Devillers, Rodolphe
name: Kondo, Kasuhisa
name: Machicao, Jeaneth
name: Mouillot, David
name: Murayama, Yasuhiro
name: Stall, Shelley
name: Trammell, Jamie
name: Vellenich, Danton
Publisher: name: Zenodo
Year: 2021
Subjects: protected areas
socio-economic conditions
impact
trans-national
inter-disciplinary
data management

description: This presentation describes a project aimed at detecting whether protected areas (PAs) influence the socio-economic well-being of adjacent communities. This Belmont Forum funded PARSEC project is using satellite images and deep learning algorithms to predict socio-economic conditions. In this presentation we show our on-going work for the selection of PAs, development of methodology using deep learning to detect socio-economic indicators from remote sources, facilitation in data management and the approach used to handle a complex inter-disciplinary and trans-national team. We note the challenges in selecting case studies with examples from Australia, Brazil, Japan and the USA, and meshing remote sensed data with census data. We discuss the advantages of good data management for the individual and for the project and some simple steps to make this easy.
description: this presentation can be viewed on Vimeo: https://vimeo.com/showcase/8655305/video/577032690 This research is product of the PARSEC group funded by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI), the São Paulo Research Foundation (FAPESP), Brazil, the Agence National de Recherche (ANR) France, the Japan Science and Technology Agency (JST), the National Science Foundation (NSF) of the United States of America, and the synthesis centre CESAB of the French Foundation for Research on Biodiversity. In addition, the author's organisations have provided valuable support for each participant. Special thanks to Vitor Dias Souza, an undergraduate student at the University of São Paulo, for help with transcription.
title: A mapping approach for confguration management tools to close the gap between two worlds and to regain trust
Creators: name: Meissner, Roy
name: Kastne, Marcus
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Configuration Management
subject: Orchestration
subject: Trust
subject: Docker
subject: Ansible
subject: Chef
subject: Puppet
subject: Reverse Engineering
subject: DSL

description: In this paper we present the tool “DockerConverter”, an approach and a software to map a Docker configuration to various matured systems and also to reverse engineer any available Docker image in order to increase the confidence (or trust) into it. We show why a mapping approach is more promising than constructing a Domain Specific Language and why we chose a Docker image instead of the Dockerfile as the source model. Our overall goal is to enable Semantic Web research projects and especially Linked Data enterprise services to be better integrated into enterprise applications and companies.
How the use of controlled, accepted vocabularies could be improved to achieve open-science outcomes.
Creators: name: Specht, Alison
name: Stall, Shelley
name: Murayama, Yasuhiro
name: David, Romain
name: O'Brien, Margaret
Publisher: name: Zenodo
Year: 2022
Subjects: vocabularies
multi-faceted research
thesauri
ontologies
open-science
data reuse

description: Environmental science teams are characteristically multi-disciplinary, multi-national, and multi-organisational. The environmental and ecological challenges that face us make these characteristics unavoidable if the best open science is to be achieved. The importance of ensuring the terms that describe shared data, and indeed information, are well-understood and properly defined cannot be under-estimated, not just within the teams themselves, but also when sharing the results with the world. In a session run at SciDataCon in late 20211, several data-science specialists were asked to talk about their experience of how scientists engage with earth and environmental vocabularies and ontologies. This session highlighted the question of whether scientists truly appreciate the reason for using standardised vocabularies, and whether there were ways to improve their acceptance and hence practice. This would require several approaches. One might be to demonstrate the effectiveness of using a community-recognised, controlled vocabulary in enabling work to be discovered. Another might be to get researchers to identify and engage with a CoreTrustSeal2 accredited repository for their project data at the start of the project. Another is to create a range of educational packages, such as those introducing them to established vocabularies and ontologies. Overlay these challenges with language differences, we need to be more and more inventive. We must improve the situation for researchers and demonstrate to them that there is value in using standardised and accepted vocabularies and that this is an achievable part of their work, we miss fully benefitting from the wealth of expertise available to solve global problems and learn from each other. In this talk we shall expand on these options, showing where they might be most effectively introduced. 1Laporte, M.A., Guru, S., Archambeau, et al., 2021. Earth and Environmental vocabularies and ontologies today: how are they managed? How are they used by scientists? https://doi.org/10.5281/zenodo.5594693 2Lin, D., Crabtree, J., Dillo, et al. 2020. The TRUST Principles for digital repositories. Scientific Data 7, 1–5. https://doi.org/10.1038/s41597-020-0486-7
description:  This research is product of the PARSEC group funded by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI) through research agencies, ANR (France), JST (Japan), FAPESP (Brazil) and NSF (USA) with the support of the synthesis centre CESAB of the French Foundation for Research on Biodiversity.
title: A Method for Distributed and Collaborative Curation of RDF Datasets Utilizing the Quit Stack
Creators: name: Arndt, Natanael
name: Radtke, Norman
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: distributed collaboration
subject: collaborative curation
subject: quit
subject: git
subject: SPARQL Update
subject: rdf dataset
subject: domain specific
subject: semantic web
subject: distributed version control system
subject: knowledge engineering

description: Knowledge engineering is becoming more and more important and collaborative approaches are promising. Especially in science, collaborative knowledge engineering on research data is a key factor for success. We propose a three layered method for distributed collaboration in curation of RDF datasets with the aim to bring domain experts into the role to command the process. The method builds on the existing infrastructure and work-flows of software engineering. By adding an RDF layer on top of the Git infrastructure, the method is flexible in its adaption to various domains using domain specific editing interfaces.
title: Smarte Datenintegration durch Benchmarking-as-a-Service
title: Vorschlag eines Vorgehensmodells zur Entwicklung eines unternehmensübergreifenden Informationssystems mittels Data Envelopment Analysis
titleType: Subtitle
Creators: name: Varwig, Andreas
name: Kammler, Friedemann
name: Thomas, Oliver
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Smart Data Linking
subject: Data Envelopment Analysis
subject: Industrie 4.0
subject: Information Systems
subject: FOS: Computer and information sciences

description: Obwohl Maschinen-und Anlagenbauer immer komplexere Sensortechnologien und Informationssysteme verbauen, haben sie nur selten Zugriff auf detaillierte Laufzeitdaten. Anlagenbetreiber, die oftmals die Eigentümer der Daten sind, verweigern ihnen den Zugriff, während sie selbst nicht über die Mittel verfügen, die Daten auszuwerten. In der Folge entstehen bei jedem Betreiber unerschlossene Data Lakes. In diesem Artikel wird ein Vorgehensmodell zur Erschließung und betreiberübergreifenden Integration der ökonomisch verwertbaren Informationen, basierend auf der Data Envelopment Analysis, vorgestellt.
Additional file 1 of All-trans retinoic acid pretreatment of mesenchymal stem cells enhances the therapeutic effect on acute kidney injury
Creators: name: Zhang, Yifan
name: Wang, Xiaochen
name: Ji, Yuwei
name: Hong, Haijuan
name: Geng, Xiaodong
name: Zhang, Keying
name: Fu, Zhangning
name: Cai, Guangyan
name: Chen, Xiangmei
name: Li, Ping
name: Hong, Quan
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Hematology

description: Supplementary Material 1
title: SPARQL Update queries over R2RML mapped data sources
Creators: name: Unbehauen, Jörg
name: Martin, Michael
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Jörg Unbehauen
subject: Michael Martin

description: In the Linked Data Life Cycle mapping and extracting data from structured sources is an essential step in building a knowledge graph. In existing data life cycles this process is unidirectional, i.e. the data is extracted from the source but changes like cleaning and linking are not fed back into the originating system. SPARQL-to-SQL rewriters create virtual RDF without materializing data by exposing SPARQL endpoints. With the Update extension of our SparqlMap system we provide read/write access to structured data sources to enable a tighter integration of the source systems in knowledge refinement process. in this paper, we discuss three different update methods and further describe in two scenarios how the source system can benefit from feed back from the Linked Data integration.
title: Es ist Vorlesung und keiner geht hin
title: Nutzerzentrierte Bedürfnisanalyse für eine digitale Lehr- und Lernplattform
titleType: Subtitle
Creators: name: Lemke, Claudia
name: Kirchner, Kathrin
name: Rohner, Barbara
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: digitale Lernwelten
subject: soziales Lernen
subject: digitale Plattformen
subject: Nutzerzentrierung
subject: Entwurf Informationssysteme

description: Digitale Lernwelten beflügeln die notwendige Reformierung der Lehre im akademischen Bereich zukünftig zusätzlich stark. Sie transferieren das Lehren und Lernen auf digitale Plattformen und nutzen alle Vorteile der Technologien des Web 2.0. Digitale Lernwelten vereinen verschiedene formelle und informelle Lehr-und Lernprozesse, also solche, die entweder institutionell durch eine Bildungseinrichtung erbracht werden, oder vom Lernenden in seiner Freizeit unabhängig von einer bestimmten Zweckbestimmung stattfinden. Eine Ausprägung digitaler Lernwelten sind Plattformen, auf denen Autoren von Fach-und Lehrbüchern zusätzliche Lehr-und Lernmaterialien zur Verfügung stellen. Dieser Beitrag untersucht aus Sicht der Dozierenden und der Studierenden die Sinnhaftigkeit einer Lehrbuchplattform am Beispiel eines Lehrbuchs zur Einführung in die Wirtschaftsinformatik. Er verfolgt einen nutzerzentrierten Ansatz -die Inhalte für eine digitale Lernplattform werden ausschließlich durch Befragungen und Konzeptstudien der beiden Zielgruppen Dozierende und Studierende erarbeitet.
Synthesis and characterisation of epigallocatechin gallate (EGCg) conjugated gold nanoparticles and their effect on cellular migration and cancer invasion
Creators: name: Song, Dedrick
Publisher: name: RMIT University
Year: 2024

description: The phytochemical EGCg, from green tea, is known to act as both a reducing agent and a stabiliser to form stable gold nanoparticles within an appropriate range of concentrations and ratios. Over 40 different synthesises were perform to optimise size, uniformity and morphology, using the influence of reagent concentrations and stoichiometric ratios. These optimised EGCg-AuNPs are named as 1G(1:1), 1G(1:1/2), 1G(1:1/3) and alt-1G(1:1), which were also shown to be stable in high salt concentrations in both high and low pH environments, making them ideal for cells studies in vitro.

The degree of EGCg oxidation when forming nanoparticles was shown to have different interaction patterns to proteins and also cellular uptake. Manipulation of nanoparticle clusters size and hydrodynamic radii (Stoke radii) was shown for different optimised EGCg-AuNPs by the addition of free EGCg in solution. These were shown to effectively increase nanoparticle internalisation in MDA-MB-231 cells suggesting that the increase DLS radii or free EGCg assisted in uptake of nanoparticles.

Optimised 1G(1:1), 1G(1:1/2) and 1G(1:1/3) were shown to have greater influence on down-regulating genes associated with cancer invasion and cellular migration compared to free EGCg of equal concentration. This suggests that chemically altered EGCg on gold still have their primary functions and that cellular uptake of EGCg is much greater in EGCg-AuNPs than free EGCg in solution. These results have led to a conclusion that EGCg-AuNPs are potentially better than EGCg as anti-cancer agents.
title: Utilizing Linked Data Structures for Social-aware Search Applications
Creators: name: Langer, André
name: Krug, Michael
name: Moreno, Luis
name: Gaedke, Martin
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Linked Data
subject: Social Networks
subject: Social Commerce
subject: Ranking Factors
subject: Scoring Model

description: Improving the user experience and conversion rate by means of personalization is of major importance for modern e-commerce applications. Several publications in the past have already dealt with the topic of adaptive search result ranking and appropriate ranking metrics. Newer approaches also took personalized ranking attributes of a connected Social Web platform into account to form so called Social Commerce Applications. However, these approaches were often limited to data silos of closed-platform data providers and none of the contributions discussed the benefits of Linked Data in building social-aware e-commerce applications so far. Therefore, we present a first formalization of a scoring model for a social-aware search approach that takes user interaction from multiple social networks into account. In contrast to other existing solutions, our approach focuses on a Linked Data information management in order to easily combine social data from different social networks. We analyze the possible influence of friend activities to the relevance of a person’s search intent and how it can be combined with other ranking factors in a formalized scoring model. As a result, we implement a first demonstrator built upon RDF data to show how an application can present the user an adaptive search result list depending on the users’ current social context.
title: CubeViz.js
title: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes
titleType: Subtitle
Creators: name: Abicht, Konrad
name: Alkhouri, Georges
name: Arndt, Natanael
name: Meissner, Roy
name: Martin:, Michael
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: Statistics
subject: FOS: Mathematics
subject: Exploration
subject: Linked Data
subject: Visualization

description: In this paper we present CubeViz.js, the successor of CubeViz, as an approach for lightweight visualization and exploration of statistical data using the RDF Data Cube vocabulary. In several use cases, such as the European Unions Open Data Portal, in which we deployed CubeViz, we were able to gather various requirements that eventually led to the decision of reimplementing CubeViz as JavaScript-only application. As part of this paper we showcase major functionalities of CubeViz.js and its improvements in comparison to the prior version.
title: Discover Barrier-free Accessible Locations with the Location Navigator
Creators: name: Abicht, Konrad
name: Ackermann, Simeon
name: Marti, Michael
Publisher: name: Gesellschaft für Informatik, Bonn
Year: 2017
Subjects: subject: open data
subject: people with disabilities
subject: locations
subject: data management

description: We present the current version of the Location Navigator, which supports users by finding locations in Leipzig, that can be accessed without barriers. Besides this current version of the prototype we present additionally experiences regarding its engineering process and the previously performed conversion of Open Data provided by the registered association Behindertenverband Leipzig e.V. (BVL). Our vision of the underlying data is an inter-commune data network, in order to support persons with special needs and, furthermore, to apply developments such as the Location Navigator to other municipalities. For this purpose, RDF will be used for the representation and linking of data in the future. Besides the presentation of the Location Navigator, we sketch some approaches we evaluated during the creation of the respective data model.
Mapping the socioeconomic context of protected areas in the U.S.
Creators: name: Trammell, Jamie
name: Rego, Jesse Jo
name: Bayarski, Alec
name: Evans, Jeffrey
name: Reddy, Sheila
name: Specht, Alison
name: Stall, Shelley
Publisher: name: Zenodo
Year: 2022
Subjects: protected areas
sustainability
socioeconomic impacts
spatial analysis

description: Although protected areas (PAs) are often considered the backbone of biodiversity conservation, their existence is tenuous, and the physical space they occupy is often highly contested. Both local and broader community needs must be supported to ensure the sustainability of PAs. Some might even argue that PAs should not only support, but enhance, the well-being of the communities that live around them. With renewed interest in protecting even more lands (i.e. 30 by 30 executive order), we need to better understand the socioeconomic context of existing, and future PAs. We present here some initial work that begins to address this need through a multi-national project called “Building New Tools for Data Sharing and Re-use through a Transnational Investigation of the Socioeconomic Impacts of Protected Areas” (abbreviated to PARSEC). Hypothesizing that the relationship between PAs and local communities varies by ecoregion and regional economics, we highlight some of the geospatial approaches and constraints encountered to socio-ecologically characterize PAs in the context of local communities in order to statistically explore these important relationships.
description: This research is product of the PARSEC group funded by the Belmont Forum as part of its Collaborative Research Action (CRA) on Science-Driven e-Infrastructures Innovation (SEI) with the National Science Foundation, inter alia, and supported by the synthesis centre CESAB of the French Foundation for Research on Biodiversity.
Additional file 2 of All-trans retinoic acid pretreatment of mesenchymal stem cells enhances the therapeutic effect on acute kidney injury
Creators: name: Zhang, Yifan
name: Wang, Xiaochen
name: Ji, Yuwei
name: Hong, Haijuan
name: Geng, Xiaodong
name: Zhang, Keying
name: Fu, Zhangning
name: Cai, Guangyan
name: Chen, Xiangmei
name: Li, Ping
name: Hong, Quan
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Hematology

description: Supplementary Material 2
Ubiquitous knowledge empowers the Smart Factory: The impacts of a Service-oriented Digital Twin on enterprises' performance
Creators: name: Longo, Francesco
name: Nicoletti, Letizia
name: Padovano, Antonio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: While the Industry 4.0 is idolizing the potential of an artificial intelligence embedded into "things", it is neglecting the role of the human component, which is still indispensable in different manufacturing activities, such as a machine setup or maintenance operations. The present research study first proposes an Industrial Internet pyramid as emergent human-centric manufacturing paradigm within Industry 4.0 in which central is the role of a Ubiquitous Knowledge about the manufacturing system intuitively accessed and used by the manufacturing employees. Second, the prototype of a Service-oriented Digital Twin, which leverage on a flexible ontology-oriented knowledge structure and on augmented reality combined to a vocal interaction system for an intuitive knowledge retrieval and fruition, has been designed and developed to deliver this manufacturing knowledge. Two test-beds, complimentary for the problems in practice (the former on the maintenance-production interface in a large enterprise, the latter majorly focused in production and setups in a small and medium enterprise), show the significant benefits in terms of time, costs and process quality, thus validating the approach proposed. This research shows that a human-centric and knowledge-driven approach can drive the performance of Industry 4.0 initiatives and lead a Smart Factory towards its full potential.
description: 16 pages, 12 figures, 5 tables
sj-docx-1-msj-10.1177_13524585221139575 – Supplemental material for Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestry
Creators: name: Okuda, Darin T
name: Stanley, Thomas
name: McCreary, Morgan
name: Smith, Alexander
name: Wilson, Andrew
name: Pinho, Marco C
name: Yu, Fang F
name: Billiet, Thibo
name: Van Hecke, Wim
name: Ribbens, Annemie
name: Zeydan, Burcu
name: Kantarci, Orhun
name: Guo, Xiaohu
name: Moog, Tatum M
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-msj-10.1177_13524585221139575 for Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestry by Darin T Okuda, Thomas Stanley, Morgan McCreary, Alexander Smith, Andrew Wilson, Marco C Pinho, Fang F Yu, Thibo Billiet, Wim Van Hecke, Annemie Ribbens, Burcu Zeydan, Orhun Kantarci, Xiaohu Guo and Tatum M Moog in Multiple Sclerosis Journal
Additional file 1 of Development and validation of a prenatal predictive nomogram for the risk of NICU admission in infants born to Chinese mothers over 35 years of age: a retrospective cohort study
Creators: name: Wei, Yihong
name: Xu, Shuai
name: Sun, Wenjuan
name: Hong, Fanzhen
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Supplementary Material 1
sj-docx-1-mpp-10.1177_23814683221141377 – Supplemental material for Cross-sectional Survey Examining Patient Attitudes and Preferences for Rescheduling Screening Colonoscopies Canceled due to the COVID-19 Pandemic
Creators: name: Valentine, K. D.
name: Leavitt, Lauren
name: Atlas, Steven J.
name: Chen, Emily
name: Ha, Jasmine
name: Percac-Lima, Sanja
name: Fairfield, Kathleen M.
name: Korsen, Neil
name: Han, Paul K. J.
name: Richter, James M.
name: Simmons, Leigh
name: Sepucha, Karen R.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-mpp-10.1177_23814683221141377 for Cross-sectional Survey Examining Patient Attitudes and Preferences for Rescheduling Screening Colonoscopies Canceled due to the COVID-19 Pandemic by K. D. Valentine, Lauren Leavitt, Steven J. Atlas, Emily Chen, Jasmine Ha, Sanja Percac-Lima, Kathleen M. Fairfield, Neil Korsen, Paul K. J. Han, James M. Richter, Leigh Simmons and Karen R. Sepucha in MDM Policy & Practice
sj-docx-1-onc-10.1177_11795549221139522 – Supplemental material for The Tri-iodothyronine (T3) Level Is a Prognostic Factor for Patients With Advanced NSCLC: Receiving Immune Checkpoint Inhibitors and Is Associated With Liver Metastasis
Creators: name: Kim, Yoonjoo
name: Koh, Jeong Suk
name: Woo, Seong-Dae
name: Lee, Song-I
name: Kang, Da Hyun
name: Park, Dongil
name: Chung, Chaeuk
name: Kwon, In-Sun
name: Lee, Jeong Eun
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-1-onc-10.1177_11795549221139522 for The Tri-iodothyronine (T3) Level Is a Prognostic Factor for Patients With Advanced NSCLC: Receiving Immune Checkpoint Inhibitors and Is Associated With Liver Metastasis by Yoonjoo Kim, Jeong Suk Koh, Seong-Dae Woo, Song-I Lee, Da Hyun Kang, Dongil Park, Chaeuk Chung, In-Sun Kwon and Jeong Eun Lee in Clinical Medicine Insights: Oncology
Additional file 2 of Development and validation of a prenatal predictive nomogram for the risk of NICU admission in infants born to Chinese mothers over 35 years of age: a retrospective cohort study
Creators: name: Wei, Yihong
name: Xu, Shuai
name: Sun, Wenjuan
name: Hong, Fanzhen
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Supplementary Material 2
Minimizing Energy Consumption for End-to-End Slicing in 5G Wireless Networks and Beyond
Creators: name: Taskou, Shiva Kazemi
name: Rasti, Mehdi
name: Nardelli, Pedro H. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: End-to-End (E2E) network slicing enables wireless networks to provide diverse services on a common infrastructure. Each E2E slice, including resources of radio access network (RAN) and core network, is rented to mobile virtual network operators (MVNOs) to provide a specific service to end-users. RAN slicing, which is realized through wireless network virtualization, involves sharing the frequency spectrum and base station antennas in RAN. Similarly, in core slicing, which is achieved by network function virtualization, data center resources such as commodity servers and physical links are shared between users of different MVNOs. In this paper, we study E2E slicing with the aim of minimizing the total energy consumption. The stated optimization problem is non-convex that is solved by a sub-optimal algorithm proposed here. The simulation results show that our proposed joint power control, server and link allocation (JPSLA) algorithm achieves 30% improvement compared to the disjoint scheme, where RAN and core are sliced separately.
description: 6 pages, Published in WCNC 2022
The Algorithmic Imprint
Creators: name: Ehsan, Upol
name: Singh, Ranjit
name: Metcalf, Jacob
name: Riedl, Mark O.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: Artificial Intelligence (cs.AI)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: When algorithmic harms emerge, a reasonable response is to stop using the algorithm to resolve concerns related to fairness, accountability, transparency, and ethics (FATE). However, just because an algorithm is removed does not imply its FATE-related issues cease to exist. In this paper, we introduce the notion of the "algorithmic imprint" to illustrate how merely removing an algorithm does not necessarily undo or mitigate its consequences. We operationalize this concept and its implications through the 2020 events surrounding the algorithmic grading of the General Certificate of Education (GCE) Advanced (A) Level exams, an internationally recognized UK-based high school diploma exam administered in over 160 countries. While the algorithmic standardization was ultimately removed due to global protests, we show how the removal failed to undo the algorithmic imprint on the sociotechnical infrastructures that shape students', teachers', and parents' lives. These events provide a rare chance to analyze the state of the world both with and without algorithmic mediation. We situate our case study in Bangladesh to illustrate how algorithms made in the Global North disproportionately impact stakeholders in the Global South. Chronicling more than a year-long community engagement consisting of 47 inter-views, we present the first coherent timeline of "what" happened in Bangladesh, contextualizing "why" and "how" they happened through the lenses of the algorithmic imprint and situated algorithmic fairness. Analyzing these events, we highlight how the contours of the algorithmic imprints can be inferred at the infrastructural, social, and individual levels. We share conceptual and practical implications around how imprint-awareness can (a) broaden the boundaries of how we think about algorithmic impact, (b) inform how we design algorithms, and (c) guide us in AI governance.
description: Accepted to ACM FAccT 2022
sj-docx-13-tah-10.1177_20406207221142487 – Supplemental material for Monocyte or white blood cell counts and β2 microglobulin predict the durable efficacy of daratumumab with lenalidomide
Creators: name: Shimazu, Yutaka
name: Kanda, Junya
name: Kaneko, Hitomi
name: Imada, Kazunori
name: Yamamura, Ryosuke
name: Kosugi, Satoru
name: Shimura, Yuji
name: Ito, Tomoki
name: Fuchida, Shin-ichi
name: Uchiyama, Hitoji
name: Fukushima, Kentaro
name: Yoshihara, Satoshi
name: Hanamoto, Hitoshi
name: Tanaka, Hirokazu
name: Uoshima, Nobuhiko
name: Ohta, Kensuke
name: Yagi, Hideo
name: Shibayama, Hirohiko
name: Onda, Yoshiyuki
name: Tanaka, Yasuhiro
name: Adachi, Yoko
name: Matsuda, Mitsuhiro
name: Iida, Masato
name: Miyoshi, Takashi
name: Matsui, Toshimitsu
name: Takahashi, Ryoichi
name: Takakuwa, Teruhito
name: Hino, Masayuki
name: Hosen, Naoki
name: Nomura, Shosaku
name: Shimazaki, Chihiro
name: Matsumura, Itaru
name: Takaori-Kondo, Akifumi
name: Kuroda, Junya
Publisher: name: SAGE Journals
Year: 2022
Subjects: Cardiology
Oncology and Carcinogenesis not elsewhere classified
Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-13-tah-10.1177_20406207221142487 for Monocyte or white blood cell counts and β2 microglobulin predict the durable efficacy of daratumumab with lenalidomide by Yutaka Shimazu, Junya Kanda, Hitomi Kaneko, Kazunori Imada, Ryosuke Yamamura, Satoru Kosugi, Yuji Shimura, Tomoki Ito, Shin-ichi Fuchida, Hitoji Uchiyama, Kentaro Fukushima, Satoshi Yoshihara, Hitoshi Hanamoto, Hirokazu Tanaka, Nobuhiko Uoshima, Kensuke Ohta, Hideo Yagi, Hirohiko Shibayama, Yoshiyuki Onda, Yasuhiro Tanaka, Yoko Adachi, Mitsuhiro Matsuda, Masato Iida, Takashi Miyoshi, Toshimitsu Matsui, Ryoichi Takahashi, Teruhito Takakuwa, Masayuki Hino, Naoki Hosen, Shosaku Nomura, Chihiro Shimazaki, Itaru Matsumura, Akifumi Takaori-Kondo, Junya Kuroda in Therapeutic Advances in Hematology
Novel Outlook on the Eigenvalue Problem for the Orbital Angular Momentum Operator
Creators: name: Japaridze, George
name: Khelashvili, Anzor
name: Turashvili, Koba
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: Based on the novel prescription for the power of a complex number, a new expression for the eigenfunction of the operator of the third component of the angular momentum is presented. These functions are normalizable, single valued and are invariant under the rotations at 2πfor any, not necessary integer m - the eigenvalue of the operator of the third component of the angular momentum. For any real m these functions form an orthonormal set, therefore they may serve as a quantum mechanical eigenfunctions. The eigenfunctions and eigenvalues of the operator of the angular momentum operator squared, derived for the two different prescriptions for the square root are reported. The normalizable eigenfunctions of the operator of the angular momentum operator squared are presented in terms of hypergeometric functions, admitting integer as well as non-integer eigenvalues. It is shown that the purely integer spectrum is not the most general solution but is just the artifact of a particular choice of the Legendre functions as the pair of linearly independent solutions of the eigenvalue problem for the operator of the angular momentum operator squared.
description: 10 pages, published in Physics (MDPI)
sj-docx-14-tah-10.1177_20406207221142487 – Supplemental material for Monocyte or white blood cell counts and β2 microglobulin predict the durable efficacy of daratumumab with lenalidomide
Creators: name: Shimazu, Yutaka
name: Kanda, Junya
name: Kaneko, Hitomi
name: Imada, Kazunori
name: Yamamura, Ryosuke
name: Kosugi, Satoru
name: Shimura, Yuji
name: Ito, Tomoki
name: Fuchida, Shin-ichi
name: Uchiyama, Hitoji
name: Fukushima, Kentaro
name: Yoshihara, Satoshi
name: Hanamoto, Hitoshi
name: Tanaka, Hirokazu
name: Uoshima, Nobuhiko
name: Ohta, Kensuke
name: Yagi, Hideo
name: Shibayama, Hirohiko
name: Onda, Yoshiyuki
name: Tanaka, Yasuhiro
name: Adachi, Yoko
name: Matsuda, Mitsuhiro
name: Iida, Masato
name: Miyoshi, Takashi
name: Matsui, Toshimitsu
name: Takahashi, Ryoichi
name: Takakuwa, Teruhito
name: Hino, Masayuki
name: Hosen, Naoki
name: Nomura, Shosaku
name: Shimazaki, Chihiro
name: Matsumura, Itaru
name: Takaori-Kondo, Akifumi
name: Kuroda, Junya
Publisher: name: SAGE Journals
Year: 2022
Subjects: Cardiology
Oncology and Carcinogenesis not elsewhere classified
Pharmacology and Pharmaceutical Sciences not elsewhere classified

description: Supplemental material, sj-docx-14-tah-10.1177_20406207221142487 for Monocyte or white blood cell counts and β2 microglobulin predict the durable efficacy of daratumumab with lenalidomide by Yutaka Shimazu, Junya Kanda, Hitomi Kaneko, Kazunori Imada, Ryosuke Yamamura, Satoru Kosugi, Yuji Shimura, Tomoki Ito, Shin-ichi Fuchida, Hitoji Uchiyama, Kentaro Fukushima, Satoshi Yoshihara, Hitoshi Hanamoto, Hirokazu Tanaka, Nobuhiko Uoshima, Kensuke Ohta, Hideo Yagi, Hirohiko Shibayama, Yoshiyuki Onda, Yasuhiro Tanaka, Yoko Adachi, Mitsuhiro Matsuda, Masato Iida, Takashi Miyoshi, Toshimitsu Matsui, Ryoichi Takahashi, Teruhito Takakuwa, Masayuki Hino, Naoki Hosen, Shosaku Nomura, Chihiro Shimazaki, Itaru Matsumura, Akifumi Takaori-Kondo, Junya Kuroda in Therapeutic Advances in Hematology
Additional file 2 of Transcriptomic study of the role of MeFtsZ2-1 in pigment accumulation in cassava leaves
Creators: name: Zang, Yuwei
name: Wu, Kunlin
name: Liu, Liangwang
name: Ran, Fangfang
name: Wang, Changyi
name: Wu, Shuwen
name: Wang, Dayong
name: Guo, Jianchun
name: Min, Yi
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 2: Supplemental Figure S1. RT-PCR analysis of MeFtsZ2-1 expression in OE plants using specific primers for the MeFtsZ2-1 gene. Supplemental Figure S2. Leaf phenotype and tuberous root tuber phenotype. Supplemental Figure S3. The KEGG enrichment analysis of the differentially expressed genes and transcription factor families between OE and WT. Supplemental Figure S4. Changes in genes involved in the plant hormone signal transduction pathway in cassava leaves
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
Creators: name: Olusanya, Olufunto A
name: White, Brianna
name: Melton, Chad A
name: Shaban-Nejad, Arash
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: The COVID-19 pandemic has profoundly impacted the world, having taken the lives of over 6 million individuals. Accordingly, this pandemic has caused a shift in conversations surrounding the burden of diseases worldwide, welcoming insights from multidisciplinary fields including digital health and artificial intelligence. Africa faces a heavy disease burden that exacerbates the current COVID-19 pandemic and limits the scope of public health preparedness, response, containment, and case management. Herein, we examined the potential impact of transformative digital health technologies in mitigating the global health crisis with reference to African countries. Furthermore, we proposed recommendations for scaling up digital health technologies and artificial intelligence-based platforms to tackle the transmission of the SARS-CoV-2 and enable equitable vaccine access. Challenges related to the pandemic are numerous. Rapid response and management strategies - that is, contract tracing, case surveillance, diagnostic testing intensity, and most recently vaccine distribution mapping - can overwhelm the health care delivery system that is fragile. Although challenges are vast, digital health technologies can play an essential role in achieving sustainable resilient recovery and building back better. It is plausible that African nations are better equipped to rapidly identify, diagnose, and manage infected individuals for COVID-19, other diseases, future outbreaks, and pandemics.
description: 8 Pages, 0 Figure
sj-docx-1-whe-10.1177_17455057221141292 – Supplemental material for Social media use, mental health, and suicide-related outcomes in Russian women: A cross-sectional comparison between two age groups
Creators: name: Brailovskaia, Julia
name: Krasavtseva, Yulia
name: Kochetkov, Yakov
name: Tour, Polina
name: Margraf, Jürgen
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111402 Obstetrics and Gynaecology
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-1-whe-10.1177_17455057221141292 for Social media use, mental health, and suicide-related outcomes in Russian women: A cross-sectional comparison between two age groups by Julia Brailovskaia, Yulia Krasavtseva, Yakov Kochetkov, Polina Tour and Jürgen Margraf in Women’s Health
Biculturalism in architectural practice : instigating change in social and professional environments as a way of creating situations for architectural practice
Creators: name: McAdam, James
Publisher: name: RMIT University
Year: 2024

description: This research reflects upon 20 years of architectural practice (with practice co-founder, Tanya Kalinina). It investigates the complexities of working mainly between Britain and Russia, posing questions about architectural responses to two opposing cultures and a bicultural practice and design process. It looks at the inward relationships of the practice and the skills required for different locations.

A significant part of the research relates to practice shared by the two founding partners. A specific part focuses on strategies for urban development, teaching and education programs, and the possible impact on change in social and professional environments for the practice of architecture.

Different streams of practice work are used to analyse the approaches and design methods applied to completed projects, competitions and strategic initiatives. Key projects are identified to explore the influences of the two cultures on the mental space of the practice and its partners. Teaching programs and architectural discourse are also reviewed as an integral part of practice.

Exploration of a number of questions include the quest for intellectual satisfaction – the safeguarding of ideas, practice endeavours at large, and architectural enjoyment. In light of the research process, future directions in practice are also investigated.
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
Creators: name: Guo, Jiannan
name: Kang, Yangyang
name: Duan, Yu
name: Liu, Xiaozhong
name: Tang, Siliang
name: Zhang, Wenqiao
name: Kuang, Kun
name: Sun, Changlong
name: Wu, Fei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: While annotating decent amounts of data to satisfy sophisticated learning models can be cost-prohibitive for many real-world applications. Active learning (AL) and semi-supervised learning (SSL) are two effective, but often isolated, means to alleviate the data-hungry problem. Some recent studies explored the potential of combining AL and SSL to better probe the unlabeled data. However, almost all these contemporary SSL-AL works use a simple combination strategy, ignoring SSL and AL's inherent relation. Further, other methods suffer from high computational costs when dealing with large-scale, high-dimensional datasets. Motivated by the industry practice of labeling data, we propose an innovative Inconsistency-based virtual aDvErsarial Active Learning (IDEAL) algorithm to further investigate SSL-AL's potential superiority and achieve mutual enhancement of AL and SSL, i.e., SSL propagates label information to unlabeled samples and provides smoothed embeddings for AL, while AL excludes samples with inconsistent predictions and considerable uncertainty for SSL. We estimate unlabeled samples' inconsistency by augmentation strategies of different granularities, including fine-grained continuous perturbation exploration and coarse-grained data transformations. Extensive experiments, in both text and image domains, validate the effectiveness of the proposed algorithm, comparing it against state-of-the-art baselines. Two real-world case studies visualize the practical industrial value of applying and deploying the proposed data sampling algorithm.
description: Accepted to KDD 2022
Future Artificial Intelligence tools and perspectives in medicine
Creators: name: Chaddad, Ahmad
name: Katib, Yousef
name: Hassan, Lama
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Biological sciences

description: Purpose of review: Artificial intelligence (AI) has become popular in medical applications, specifically as a clinical support tool for computer-aided diagnosis. These tools are typically employed on medical data (i.e., image, molecular data, clinical variables, etc.) and used the statistical and machine learning methods to measure the model performance. In this review, we summarized and discussed the most recent radiomic pipeline used for clinical analysis. Recent findings:Currently, limited management of cancers benefits from artificial intelligence, mostly related to a computer-aided diagnosis that avoids a biopsy analysis that presents additional risks and costs. Most AI tools are based on imaging features, known as radiomic analysis that can be refined into predictive models in non-invasively acquired imaging data. This review explores the progress of AI-based radiomic tools for clinical applications with a brief description of necessary technical steps. Explaining new radiomic approaches based on deep learning techniques will explain how the new radiomic models (deep radiomic analysis) can benefit from deep convolutional neural networks and be applied on limited data sets. Summary: To consider the radiomic algorithms, further investigations are recommended to involve deep learning in radiomic models with additional validation steps on various cancer types.