cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Patterns of Pesticide Use, Exposure, and Toxicity Jointly Determine Impacts on Honeybees and Other Pollinators
Creators: name: Smith, David
name: Hitaj, Claudia
name: Smith, David
name: Hitaj, Claudia
Publisher: name: Unknown
Year: 2019
Subjects: subject: Agricultural and Food Policy
subject: Farm Management
subject: Pollinators
subject: honeybees
subject: wild bees
subject: pesticide use
subject: pesticide effects

description: Pollinators like honeybees, wild bees, and pollen wasps contribute to one-third of the world’s food crop production. However, the health and abundance of pollinators has declined in recent decades due to factors such as poor nutrition, pests, pathogens, and pesticides. Patterns, or “domains,” of pesticide use and pesticide effects on pollinators are linked in a complex system through a third domain, pollinator pesticide exposure. This framework can provide insights into options for reducing risks to pollinators while also improving pest management strategies for crops.
Leverage Your VIVO Profiles with Modern Metrics to Tell the Stories of Your Research
Creators: name: Michalek, Andrea
name: Herbert, Bruce
name: Parkhill, Marianne
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: You have implemented VIVO – created the researcher profiles, associated research output with the researchers and have massaged the metadata to meet your standards. Now what? What value can you get for this work?

PlumX from Plum Analytics is an impact dashboard that utilizes modern metrics, aka altmetrics, to uncover and tell the hidden stories of your research output. By integrating your VIVO profiles with PlumX profiles you uncover what is happening with research output. This is especially helpful for recent research and early-career researchers. This helps you answer questions you could not answer before. For example, who is engaging with my research? What societal impact is my research having? How do I showcase my research for grant opportunities?

Texas A&M has integrated VIVO and PlumX. We will showcase the TAMU VIVO-PlumX system and how the library is using the tools to advance faculty online identity, support departmental development of program narratives, and address TAMU’s strategic plan, Vision 2020.
Cross-Linking DOI Author URIs Using Research Networking Systems
Creators: name: Benik, Nick
name: Lebo, Timothy
name: Weber, Griffin
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: A proof-of-concept application was created to automatically cross-link publications that were written by the same person through harvesting linked open data from institution-based research networking systems. This is important because it (1) helps people identify related articles when exploring the biomedical literature, (2) gives scientists appropriate credit for the work they have done, and (3) makes it easier to find experts in a subject area.
OPCML-GPI mimetics as potential biological therapeutics for ovarian cancer
Creators: name: Morecroft, Eloise Victoria Norton
Publisher: name: Imperial College London
Year: 2019

description: Opioid binding Protein/Cell adhesion Molecule-Like (OPCML) is a tumour suppressor gene (TSG) in epithelial ovarian cancer (EOC). EOC is one of the most common cancers affecting women and has a very poor prognosis due to the asymptomatic nature of the disease, with the added issue of extremely high recurrence. OPCML functions as a tumour suppressor but the tumour suppressor function is epigenetically inactivated in EOC. Previous studies have demonstrated OPCML could be a viable therapeutic to treat EOC patients. Studies have shown re-introduction of functional OPCML to cancer cell lines causes a reduction in growth and proliferation. Therefore, a novel biotherapeutic of synthetic OPCML could have potential as a treatment postsurgery to prevent further spreading of the cancer and recurrence. The focus of this thesis has been to create a novel biotherapeutic with a semi-synthetic OPCML targeted to the membrane of cancer cells using a GPI anchor mimetic, and to validate this protein anchor complex as a potential drug in EOC. The design and synthesis of a highly engineered OPCML construct, which has the functionality required to introduce complex chemical prosthetic groups to mimic the GPI anchor, was successfully expressed and purified. The construct included an HA tag for visualisation, an LPETG recognition site for sortase mediated transpeptidation (sortagging), an Fc protein sequence for purification, and a thrombin cleavage site so the Fc sequence could be removed postpurification. The GPI anchor mimetic was synthesised by solid phase peptide synthesis (SPPS) on a biotin resin and included myristoyl groups, a side chain with a photo cross-linkable moiety, and three glycines suitable for acting as a sortagging nucleophile. The protein was consequently modified by attachment of a GPI anchor mimetic via sortagging successfully. However, purification postsortagging was challenging.
AIM Consultants Team - Overview
Creators: name: Weigel, Tobias
name: Arnold, Caroline
name: Pavan Siligam
name: Bendoukha, Sofiane
Publisher: name: Zenodo
Year: 2020

description: The AIM project (Artificial Intelligence Innovation for Earth System Analytics and Modelling), part of the recently funded Helmholtz AI platform, will research and apply innovative methods from the areas of artificial intelligence and machine learning to Earth system analytics and modelling. As part of the AIM project, DKRZ (German Climate Computing Centre) hosts a team of technical consultants who will support users in reaping the benefits of the new methods through collaborative work on scientific cases, providing, among other things, counselling, technical services and support, trainings. The presentation gives an overview on the scope and services of the consultants team.
Public awareness and attitudes towards search engine optimization
Creators: name: Lewandowski, Dirk
name: Schultheiß, Sebastian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences
subject: H.3.3
subject: 68P20

description: This research focuses on what users know about search engine optimization (SEO) and how well they can identify results that have potentially been influenced by SEO. We conducted an online survey with a sample representative of the German online population (N = 2,012). We found that 43% of users assume a better ranking can be achieved without paying money to Google. This is in stark contrast to the possibility of influence through paid advertisements, which 79% of internet users are aware of. However, only 29.2% know how ads differ from organic results. The term "search engine optimization" is known to 8.9% of users but 14.5% can correctly name at least one SEO tactic. Success in labelling results that can be influenced through SEO varies by search engine result page (SERP) complexity and devices: participants achieved higher success rates on SERPs with simple structures than on the more complex SERPs. SEO results were identified better on the small screen than on the large screen. 59.2% assumed that SEO has a (very) strong impact on rankings. SEO is more often perceived as positive (75.2%) than negative (68.4%). The insights from this study have implications for search engine providers, regulators, and information literacy.
description: 20 pages, 9 tables, 5 figures
The Linked Data for Libraries Project: A Progress Repor
Creators: name: Kraft, Dean
name: Corson-Rikert, Jon
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: We will report on the first eighteen months of the Mellon-funded two-year Linked Data for Libraries (LD4L) project (http://ld4l.org). LD4L is a partnership of Cornell University Library, Stanford University Libraries, and the Harvard Library Innovation Lab. The goal of the project is to use Linked Open Data to leverage the intellectual value that librarians and other domain experts and scholars add to information resources when they describe, annotate, organize, select, and use those resources, together with the social value evident from patterns of usage. The project is producing an ontology, architecture, and set of tools that work both within and across individual institutions in an extensible network.

This progress report will describe the LD4L use cases, which focus on linking data about library bibliographic resources for well-described assets (the catalog) with other silos of information, including people’s scholarly profiles (from VIVO, Harvard Faculty Finder, and Stanford CAP), curation and annotation data, and information about usage. We will describe the current state of the LD4L ontology, and how it addresses these use cases. The ontology includes elements of BIBFRAME, VIVO-ISF, OAI-ORE, PAV, and others, and it makes use of a number of standard global identifiers, including VIAF, ORCID, ISNI, and OCLC Works.

We will also report on the outcomes of the LD4L workshop, which brought together fifty linked data experts at Stanford in late February 2015 and provided extensive feedback on the use cases, ontology design, and engineering work to date. Finally, we will describe the engineering work both planned and completed on converting bibliographic, person, curation, and usage data to shareable linked data from our three institutions; making that data available as linked open data on the web; and creating a demonstration search across the scholarly resources at Cornell, Harvard, and Stanford.
The Linked Data for Libraries Project: A Progress Report
Creators: name: Kraft, Dean
name: Corson-Rikert, Jon
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: We will report on the first eighteen months of the Mellon-funded two-year Linked Data for Libraries (LD4L) project (http://ld4l.org). LD4L is a partnership of Cornell University Library, Stanford University Libraries, and the Harvard Library Innovation Lab. The goal of the project is to use Linked Open Data to leverage the intellectual value that librarians and other domain experts and scholars add to information resources when they describe, annotate, organize, select, and use those resources, together with the social value evident from patterns of usage. The project is producing an ontology, architecture, and set of tools that work both within and across individual institutions in an extensible network.

This progress report will describe the LD4L use cases, which focus on linking data about library bibliographic resources for well-described assets (the catalog) with other silos of information, including people’s scholarly profiles (from VIVO, Harvard Faculty Finder, and Stanford CAP), curation and annotation data, and information about usage. We will describe the current state of the LD4L ontology, and how it addresses these use cases. The ontology includes elements of BIBFRAME, VIVO-ISF, OAI-ORE, PAV, and others, and it makes use of a number of standard global identifiers, including VIAF, ORCID, ISNI, and OCLC Works.

We will also report on the outcomes of the LD4L workshop, which brought together fifty linked data experts at Stanford in late February 2015 and provided extensive feedback on the use cases, ontology design, and engineering work to date. Finally, we will describe the engineering work both planned and completed on converting bibliographic, person, curation, and usage data to shareable linked data from our three institutions; making that data available as linked open data on the web; and creating a demonstration search across the scholarly resources at Cornell, Harvard, and Stanford.
Multiple EffNet/ResNet Architectures for Melanoma Classification
Creators: name: Xue, Jiaqi
name: Ma, Chentian
name: Li, Li
name: Wen, Xuan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Melanoma is the most malignant skin tumor and usually cancerates from normal moles, which is difficult to distinguish benign from malignant in the early stage. Therefore, many machine learning methods are trying to make auxiliary prediction. However, these methods attach more attention to the image data of suspected tumor, and focus on improving the accuracy of image classification, but ignore the significance of patient-level contextual information for disease diagnosis in actual clinical diagnosis. To make more use of patient information and improve the accuracy of diagnosis, we propose a new melanoma classification model based on EffNet and Resnet. Our model not only uses images within the same patient but also consider patient-level contextual information for better cancer prediction. The experimental results demonstrated that the proposed model achieved 0.981 ACC. Furthermore, we note that the overall ROC value of the model is 0.976 which is better than the previous state-of-the-art approaches.
description: 16 pages,20 figures
A Bitstream Feature Based Model for Video Decoding Energy Estimation
Creators: name: Herglotz, Christian
name: Wen, Yongjun
name: Dai, Bowen
name: Kränzler, Matthias
name: Kaup, André
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper we show that a small amount of bit stream features can be used to accurately estimate the energy consumption of state-of-the-art software and hardware accelerated decoder implementations for four different video codecs. By testing the estimation performance on HEVC, H.264, H.263, and VP9 we show that the proposed model can be used for any hybrid video codec. We test our approach on a high amount of different test sequences to prove the general validity. We show that less than 20 features are sufficient to obtain mean estimation errors that are smaller than 8%. Finally, an example will show the performance trade-offs in terms of rate, distortion, and decoding energy for all tested codecs.
description: 5 pages, 2 figures, 2016 Picture Coding Symposium (PCS)
Interactions in Information Spread
Creators: name: Poux-Médard, Gaël
name: Velcin, Julien
name: Loudcher, Sabine
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assumes she does so according to information's content, publication date, the user's position in the network, the platform used, etc. However, there is another aspect that has received little attention in the literature: the information interaction. The idea is that a user's choice is partly conditioned by the previous pieces of information she has been exposed to. In this document, we review the works done on interaction modeling and underline several aspects of interactions that complicate their study. Then, we present an approach seemingly fit to answer those challenges and detail a dedicated interaction model based on it. We show our approach fits the problem better than existing methods, and present leads for future works. Throughout the text, we show that taking interactions into account improves our comprehension of information interaction processes in real-world datasets, and argue that this aspect of information spread is should not be neglected when modeling spreading processes.
Leveraging Personalized Google Analytics Information for Greater RNS Engagement
Creators: name: Turner, Brian
name: Anrivan Chatterjee
name: Meeks, Eric
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Many installations of Research Networking Systems (RNSs) like VIVO and Profiles get significant web traffic. However, most visits are anonymous and relatively short, leading us to believe we are providing little more than a directory service. If RNSs are to evolve from a research directory into true networking systems, we must engage users much more significantly. We will do this by providing personalized, valuable content to researchers, the primary target audience of RNSs.
UCSF Profiles gets over 100,000 visits per month. However, most visits are anonymous (only 4% sign in) and relatively short (89% are under two minutes). We plan to entice users to log in and spend more time within UCSF Profiles by offering them personalized content that is interesting to them. We will base the personalized content on our recent success with a ‘vanity’ email. In that email, we sent researchers easily-understandable statistics from Google Analytics, including the number of visitors and information about those visitors to their page. That email was very well-received, based on click-through data and survey feedback. Our plan is to build a dashboard page using the Open Research Networking Gadget platform to provide similar information profile holders can sign in any time to see. We will show them how often their page is viewed, and some information about those visitors such as geographic location and their domain. This information will be available under sign only, as that is needed to identify the user. We will promote the feature via the traditional means of email, newsletters and on the site itself.
We expect this personalized content to drive engagement in a virtuous cycle. As we offer more reasons to sign in, more people will. That will lead more people will use more features of UCSF Profiles in quantifiable ways. That in turn will enforce the utility of providing users more personalized content.
When researchers are signing more frequently, we can and will introduce more engaging features such as opportunities for collaboration. This will help fully realize the utility of research networking.
Study on emerging applications on data plane and optimization possibilities
Creators: name: Altangerel, Gereltsetseg
name: Mate, Tejfel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: By programming both the data plane and the control plane, network operators can adapt their networks to their needs. Thanks to research over the past decade, this concept has more formulized and more technologically feasible. However, since control plane programmability came first, it has already been successfully implemented in the real network and is beginning to pay off. Today, the data plane programmability is evolving very rapidly to reach this level, attracting the attention of researchers and developers: Designing data plane languages, application development on it, formulizing software switches and architecture that can run data plane codes and the applications, increasing performance of software switch, and so on. As the control plane and data plane become more open, many new innovations and technologies are emerging, but some experts warn that consumers may be confused as to which of the many technologies to choose. This is a testament to how much innovation is emerging in the network. This paper outlines some emerging applications on the data plane and offers opportunities for further improvement and optimization. Our observations show that most of the implementations are done in a test environment and have not been tested well enough in terms of performance, but there are many interesting works, for example, previous control plane solutions are being implemented in the data plane.
description: arXiv admin note: substantial text overlap with arXiv:2201.11516
The complexity of scholar affiliation in ISNI and VIVO
Creators: name: Wang, Jing
name: Smith-Yoshimura, Karen
name: Janifer Gatenby
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Scholars’ affiliation provides the context for their work and is often represented on the publications and grant applications. However, universities and departments change their names, and scholars change their affiliations, which present challenges for matching and aggregating data among multiple systems. Institutional identifiers are crucial to accurately represent scholars’ affiliations. Institutions may not realize they already have such an institutional identifier, ISNI, and that this identifier has already been disseminated, used by ORCID and included in VIAF and Wikidata.
In this presentation we summarize the current work of an OCLC Research Task Force on Representing Organizations in ISNI, discuss the challenges of ISNI and VIVO with organizational data, and identify points of collaboration.
Usage-based learning of grammatical categories
Creators: name: Steels, Luc
name: Van Eecke, Paul
name: Beuls, Katrien
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Human languages use a wide range of grammatical categories to constrain which words or phrases can fill certain slots in grammatical patterns and to express additional meanings, such as tense or aspect, through morpho-syntactic means. These grammatical categories, which are most often language-specific and changing over time, are difficult to define and learn. This paper raises the question how these categories can be acquired and where they have come from. We explore a usage-based approach. This means that categories and grammatical constructions are selected and aligned by their success in language interactions. We report on a multi-agent experiment in which agents are endowed with mechanisms for understanding and producing utterances as well as mechanisms for expanding their inventories using a meta-level learning process based on pro- and anti-unification. We show that a categorial type network which has scores based on the success in a language interaction leads to the spontaneous formation of grammatical categories in tandem with the formation of grammatical patterns.
description: Published after double-blind review as: Steels, L., Van Eecke, P. & Beuls, K. (2018). Usage-based learning of grammatical categories. Belgian/Netherlands Artificial Intelligence Conference (BNAIC) 2018 Preproceedings (pp. 253-264)
Combining Flexible Faculty Activity Reporting with Public Research Profiles: Converis and VIVO
Creators: name: Beynon, Ann
name: Höllrigl, Thorsten
name: Laurin, Julia
name: Joerg, Brigitte
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Research organizations need to fulfill a variety of needs, from enhancing public visibility of scholarly activities to efficiently reporting on faculty activity across campus for accreditation, strategic planning, and faculty evaluation purposes. Converis, a comprehensive faculty activity reporting system, helps universities around the world to minimize the burden on faculty for maintaining a comprehensive record of their activities. Universities use Converis to manage their faculty review processes through customizable workflows and templated reports. Converis enables a seamless integration of institutional data with trusted publication sources such as Web of Science and PubMed, to easily meet grant submission and accreditation requirements. Converis modernizes the faculty activity reporting process through minimizing data entry, leading to efficient administrative reporting and insightful analytics. Curated faculty data from Converis can also populate a rich VIVO instance based on semantic mappings, whereby faculty benefit from enhanced visibility of their scholarly activities through the VIVO application software. Examples of this integration between Converis and VIVO will be shared.
Delivering Trending Publications to Researchers
Creators: name: Turner, Brian
name: Anirvan Chattterjee
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: UCSF is piloting a way to deliver publications, which are matched to researchers’ current interests and trending in the research community, to researchers in a timely way.
UCSF searches PubMed for publications that match a researcher’s stated interests on her or his profile page. We then assess those publications using Altmetric parameters to determine which are getting the most new-media buzz: tweets, shares, reads and posts. The most popular publications are ranked and the top five presented to the researcher via email. If this pilot is successful, we plan to build an Open Research Networking Gadget to display the content to the researcher when s/he signs in to UCSF Profiles.
Innovation performance of the Polish agri-food sector: key determinants and prospects for improvements
Creators: name: Figiel, Szczepan
name: Gospodarowicz, Marcin
name: Grochowska, Renata
name: Kuberska, Dominika
name: Kufel-Gajda, Justyna
name: Oliński, Marian
name: Wasilewski, Adam
name: Figiel, Szczepan (Ed.)
name: Figiel, Szczepan
name: Gospodarowicz, Marcin
name: Grochowska, Renata
name: Kuberska, Dominika
name: Kufel-Gajda, Justyna
name: Oliński, Marian
name: Wasilewski, Adam
name: Figiel, Szczepan (Ed.)
Publisher: name: Unknown
Year: 2017
Subjects: subject: Agribusiness
subject: International Development
subject: Production Economics
subject: agri-food sector
subject: competitiveness
subject: development of innovations
subject: innovation transfer
subject: innovativeness
subject: institutional determinants
subject: national economies
subject: Poland
subject: Polish agri-food sector
subject: Regional Innovation Strategies
subject: rural areas

description: The aim of the monograph is to discuss selected aspects of innovation performance of the Polish agri-food sector and highlight its key determinants and prospects for improvements. Chapters: Innovativeness and competitiveness of national economies. Factors influencing development of innovations in the agri-food sector. Institutional determinants of innovation transfer in the Polish agri-food sector. Prospects for the growth of innovativeness in the agri-food sector and rural areas in the light of the analysis of the Regional Innovation Strategies.
Assessment of Natural Radioactivity Concentration and Radiological Risk in Tanjung Enim's Coal Mine, South Sumatra Indonesia
Creators: name: Ramadhany, Muhammad Farhan
name: Wijaya, Gede Sutresna
name: Muharini, Anung
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: Environmental radioactivity analysis has been carried out to determine the level of environmental radioactivity and the potential radiological hazards at Tanjung Enims coal mine. Gamma spectroscopy method has been carried out to identify radionuclides and their types of activity. The results of radionuclide concentration are used to determine the radiological hazard index and become input data for the Residual Radioactivity Onsite 7.2 application to determine the dose rate and long-term cancer potential received by workers in coal mines. The results obtained for the average concentration of radionuclide activity in coal samples are 226Ra, 232Th, and 40K are 72.468 Bq/kg, 86.905 Bq/kg, and 1802.049 Bq/kg, respectively. While the soil samples 226Ra, 232Th, and 40K respectively 79.205 Bq/kg, 100.209 Bq/kg, and 1443.275 Bq/kg. The radionuclide concentrations of both samples exceeded the UNSCEAR and worldwide reported averages for coal and soil. The average radiological hazard index for coal samples, namely Raeq, Hin, and Hex, was 335.500 Bq/kg, 1.102, 0.906, respectively. While the soil samples were 333.636 Bq/kg, 1.115, and 0.901, respectively. The index parameter is already lower than the UNSCEAR recommendation except for Hin, so there is a potential radiological hazard in internal pathways such as respiratory and digestive organs for mining workers. The total annual effective dose rate based on 5 RESRAD Onsite 7.2 pathways, namely external gamma, inhalation, radon, soil ingestion, and drinking water, is 1.675 mSv/year, exceeding the dose limits determined by ICRP, 1 mSv/year. The ELCR is 6.625*10^-3 which exceeds the UNSCEAR recommendation, 2.4*10^-4. Based on the results, it is necessary to intervene in the mining environment of the Tanjung Enims coal mine.
description: 11 pages, 6 figures, 13 tables
Developing a Model for Expert Networking Across Federal Government: The HHS Profiles Pilot
Creators: name: Hernandez, Jessica
name: Rosamilia, Nichole
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Organizations within the United States government are increasingly beginning to explore research networking software as a way to locate and match federal expertise for collaboration and problem-solving. The U.S. Department of Agriculture (USDA) launched a public-facing VIVO instance in 2014, and internal research networking pilots are underway at the Environmental Protection Agency (EPA), Food and Drug Administration (FDA), and Smithsonian Institution.

However, the proliferation of agency- and department-specific systems raises concerns about reproducing existing information silos. A driving force behind government adoption of expert networking is to more quickly mobilize federal expertise in crisis situations like the recent Ebola outbreak. Yet nearly every executive branch department was engaged in Ebola-related research, prevention, or remediation, so an effective response requires expertise identification and collaboration on a government-wide scale.

This study therefore aims to develop (1) a model for a multi-organizational, federal government-wide expert networking system and (2) an evaluation framework to determine whether the system effectively increases the speed and agility of government operations. To test the viability of the model, we are launching a public-facing Department of Health and Human Services (HHS) pilot using Profiles Research Networking Software. This pilot will include experts from three HHS agencies: FDA, the National Institutes of Health (NIH), and the Centers for Disease Control and Prevention (CDC). We will present lessons learned and preliminary results from this effort to design a platform-agnostic, integrated framework to harness intra-government and cross-sector expertise.
Web 2.0 as approach for the enterprise information technology
Creators: name: Menzel, Claus Matthias
Publisher: name: Medien- und Informationszentrum, Leuphana Universität Lüneburg
Year: 2007
Subjects: subject: Web 2.0
classificationCode: 004
subject: 004 Datenverarbeitung; Informatik

description: Web 2.0 is a common term in the Internet field nowadays. Web 2.0, which is sometimes also called participation web, already motivates millions of people to contribute. Web 2.0 could also be used to improve enterprise information technology. Therefore the use of Web 2.0 concepts in an enterprise context seems worth considering.
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
Creators: name: Rosales-Pérez, Alejandro
name: García, Salvador
name: Herrera, Francisco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences
subject: I.2
subject: 62H30

description: Support vector machines (SVMs) are popular learning algorithms to deal with binary classification problems. They traditionally assume equal misclassification costs for each class; however, real-world problems may have an uneven class distribution. This article introduces EBCS-SVM: evolutionary bilevel cost-sensitive SVMs. EBCS-SVM handles imbalanced classification problems by simultaneously learning the support vectors and optimizing the SVM hyperparameters, which comprise the kernel parameter and misclassification costs. The resulting optimization problem is a bilevel problem, where the lower level determines the support vectors and the upper level the hyperparameters. This optimization problem is solved using an evolutionary algorithm (EA) at the upper level and sequential minimal optimization (SMO) at the lower level. These two methods work in a nested fashion, that is, the optimal support vectors help guide the search of the hyperparameters, and the lower level is initialized based on previous successful solutions. The proposed method is assessed using 70 datasets of imbalanced classification and compared with several state-of-the-art methods. The experimental results, supported by a Bayesian test, provided evidence of the effectiveness of EBCS-SVM when working with highly imbalanced datasets.
description: Copyright 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Unternehmensbewertung mit Discounted Cash Flow-Verfahren
Creators: name: Gergs, Alexander
Publisher: name: Medien- und Informationszentrum, Leuphana Universität Lüneburg
Year: 2003
Subjects: Unternehmensbewertung
Cash Flow

description: Die vorliegende Diplomarbeit entstand im Rahmen eines Praxissemesters in der Abteilung Anlagenmanagement der Hamburger Sparkasse. Es wird ein systematischer Überblick über die Discounted Cash Flow-Verfahren gegeben, wobei die Berechnung des Marktwertes des Eigenkapitals im Vordergrund steht.
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Creators: name: Tang, Wei
name: Wang, Yanlin
name: Zhang, Hongyu
name: Han, Shi
name: Luo, Ping
name: Zhang, Dongmei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Third-party libraries (TPLs) are reused frequently in software applications for reducing development cost. However, they could introduce security risks as well. Many TPL detection methods have been proposed to detect TPL reuse in Android bytecode or in source code. This paper focuses on detecting TPL reuse in binary code, which is a more challenging task. For a detection target in binary form, libraries may be compiled and linked to separate dynamic-link files or built into a fused binary that contains multiple libraries and project-specific code. This could result in fewer available code features and lower the effectiveness of feature engineering. In this paper, we propose a binary TPL reuse detection framework, LibDB, which can effectively and efficiently detect imported TPLs even in stripped and fused binaries. In addition to the basic and coarse-grained features (string literals and exported function names), LibDB utilizes function contents as a new type of feature. It embeds all functions in a binary file to low-dimensional representations with a trained neural network. It further adopts a function call graph-based comparison method to improve the accuracy of the detection. LibDB is able to support version identification of TPLs contained in the detection target, which is not considered by existing detection methods. To evaluate the performance of LibDB, we construct three datasets for binary-based TPL reuse detection. Our experimental results show that LibDB is more accurate and efficient than state-of-the-art tools on the binary TPL detection task and the version identification task. Our datasets and source code used in this work are anonymously available at https://github.com/DeepSoftwareAnalytics/LibDB.
description: MSR 2022
ORCID iDs in VIVO: More than just another piece of flair!
Creators: name: Krznarich, Elizabeth
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Since 2012, ORCID (orcid.org) has been pursuing its goal of addressing the name ambiguity problem in scholarly communications by maintaining a registry of unique and persistent researcher identifiers. ORCID also provides a transparent method of linking research activities and outputs to these identifiers by connecting to external systems and resources. Due to these linkages and the persistence of an individual’s ORCID identifier throughout their career, ORCID possesses a unique capacity to serve as a hub connecting researchers to research activities and outputs.

With the recent release of version 1.7, VIVO is now among the growing set of applications and resources that support linkages to ORCID. By enabling the ORCID features within VIVO, local VIVO administrators can allow researchers to display a link to their ORCID identifier on their VIVO profile and (optionally) to display a link to their VIVO profile on their public ORCID record.

While new options and features to experiment with are often welcome additions to any software application, the real advantages of linking VIVO profiles to ORCID identifiers may not be immediately obvious. This poster will explores the potential benefits of linking VIVO profiles to ORCID identifiers, for both individuals and institutions, and provides relevant use cases.

Use cases to be addressed include:

Institutions: Tracking graduate outcomes for internal analysis and reporting purposes

Institutions: Tracking early career progress for external reporting requirements

Individuals: Collocating research activities and outputs from multiple institutions
Visualizing the VIVO Profile Ecosystem Using CTSAsearch
Creators: name: Eichmann, David
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: CTSAsearch (http://research.icts.uiowa.edu/polyglot) is a federated search engine using VIVO-compliant Linked Open Data published by 64 institutions using six distinct platforms. In aggregate, CTSAsearch has data on ~140,000 researchers and their ~8,300,000 publications. Since its introduction in 2013, the query and visualization mechanisms in CTSAsearch have proven to be the primary elements of user interest. I first present a number of comparative analytic visualizations, characterizing distinctions between classes in the set of institutions as a whole. The remainder of the presentation then covers my approaches to query formulation and visualization.
CrossLinks – Towards a Single VIVO Profile Ecosystem
Creators: name: Eichmann, David
name: Meeks, Eric
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Profiling systems have achieved notable adoption by research institutions. Multi-site search of research profiling systems has substantially evolved since the first deployment of systems such as DIRECT2Experts. CTSAsearch is a federated search engine using VIVO-compliant Linked Open Data (LOD) published by members of the NIH-funded Clinical and Translational Science (CTSA) consortium and other interested parties. Sixty-four institutions are currently included, spanning six distinct platforms and three continents (North America, Europe and Australia). In aggregate, CTSAsearch has data on 150-300 thousand unique researchers and their 10 million publications. The public interface is available at http://research.icts.uiowa.edu/polyglot. We are now in the process of cross-linking co-author data from UCSF’s ProfilesRNS to their respective home institution profiles through the CrossLinks project. CrossLinks interrogates the CTSAsearch SPARQL endpoint (http://marengo.info-science.uiowa.edu:2020), then provides real-time JSON-LD, supporting cross-site linking (with thumbnail images), and effectively creating a single inter-institutional information space.
title: Disziplinierte Bilder. Kriegsbildberichterstattung im nationalsozialistischen Deutschland und faschistischen Italien im Vergleich
Creators: name: Wurzer, Markus
Publisher: name: ZZF - Centre for Contemporary History: Visual History
Year: 2020

description: In der Kriegsbildberichterstattung ging NS-Deutschland – so die gängige Meinung in den Geschichtswissenschaften – gänzliche neue Wege, indem Bilder nicht nur zensiert, was bereits im Ersten Weltkrieg üblich gewesen war, sondern durch einen eigenen Propagandaapparat umfassend diszipliniert worden seien. Durch ein eigenes Ministerium, das Reichsministerium für Volksaufklärung und Propaganda, einerseits und militärisch organisierte Propagandatruppen andererseits, deren bekannteste die Propagandakompanien (PK) waren, sei bereits auf der Ebene der Bildproduktion und -distribution interveniert worden. Nimmt man allerdings die visuelle Kriegspropaganda des faschistischen Italien zu dieser Zeit vergleichend in den Blick, gerät die These der Einzigartigkeit und internationalen Vorreiterfunktion der deutschen Kriegsbildberichterstattung im Allgemeinen und der PKs im Speziellen ins Wanken.
The ISF Ontology: Lessons in mapping
Creators: name: Triggs, Graham
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Much has changed since Symplectic first introduced harvester extensions in 2012 to allow a VIVO instance to be populated with curated data from an Elements RIM system. Since then, Symplectic has used the CASRAI dictionary to extend and standardize the data stored in Elements, and the VIVO ontology has evolved into the Integrated Semantic Framework.

In early 2015, Symplectic released an upgrade of the harvester, bringing the mappings up to date with the VIVO ISF, ensuring all of the CASRAI-based standard Elements data was included. But while both systems have ties with CASRAI and influences in their data, the structure of the data can be very different.

In addition to handling these differences, we were also able to extract keywords into assertions against controlled vocabularies, infer institution types, and create people for co-authors at external institutions.

This presentation discusses the lessons learnt from upgrading data translations to the VIVO ISF ontology, the challenges encountered in mapping differing data structures, and the techniques used to overcome them.
Retail Food Price Inflation Has Slowed Over Time
Creators: name: Okrent, Abigail
name: Kuhns, Annemarie
name: Okrent, Abigail
name: Kuhns, Annemarie
Publisher: name: Unknown
Year: 2019
Subjects: subject: Agricultural and Food Policy
subject: Financial Economics
subject: Marketing
subject: FOS: Economics and business
subject: retail
subject: food prices
subject: grocery store

description: Grocery store food prices generally rise each year. However, in 2016, retail food prices actually fell 1.3 percent and fell again in 2017 (0.2 percent). These back-to-back years of deflation helped lower the 20-year moving average for grocery store price inflation from 3.6 percent in 1999 to 2.0 percent in 2018. ERS researchers identify the multiple factors contributing to recent retail food price deflation.
The Effects of Sound Entertainment Therapy on the Pain Level, Anxiety Level and Sleep Pattern of Post Cesarean Birth Mothers
Creators: name: Lansang, Jean
Publisher: name: Zenodo
Year: 2005
Subjects: Pregnancy
Cesarean birth
postpartum

description: Post cesarean birth pain is very common in a hospital’s obstetric unit and is usually managed by giving postpartum mothers pain medications. This study investigated a new form of independent, non-pharmacologic nursing intervention in the form of sound entrainment therapy using binaural beat technology. This can be used as an adjunct to medical management of patients. Specifically, it aimed to determine the effects of sound entertainment therapy on the pain and anxiety level as well as the sleeping pattern of post cesarean birth mothers. The investigator used a single blind true experimental design. A total of 65 subjects composed the sample with the experimental group listening to binaural beat CD for one hour while the control group was not subjected to this treatment. Independent T test was utilized to test the difference of sleep patterns between the two groups while repeated measures of ANOVA was the statistical test used for the vital signs which included blood pressure and apical heart rate. The same statistical test was used to measure the anxiety level of post cesarean birth mothers. The results showed that there was no significant difference between the groups in terms of vital signs and sense of relaxation and pain level. However, there was a significant difference between the two groups in terms of sleep duration, level of energy and anxiety level. Based on the results of this study, sound entrainment therapy can be an effective intervention in increasing sleep duration, raising the level of energy and reducing anxiety level of post cesarean birth mothers. It is recommended that sound entertainment therapy be tried out to help other group of people who are suffering from sleep problems and anxiety like: Pregnant women who are usually stressed out during the first and third trimesters of pregnancy;
 Pre- and post-operative patients regardless of surgical procedures;
 Acutely and chronically hospitalized patients; and
 All types of people who are experiencing everyday stress.

description: Masters Thesis
VIVO ISF: Investigating Speed Factors
Creators: name: Triggs, Graham
Publisher: name: VIVO
Year: 2015
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: Library and Information Studies
subject: FOS: Media and communications

description: Maintaining and upgrading harvester extensions for populating VIVO from Elements requires testing. Through our development of Elements, we are able to generate large databases of test data - in excess of 25,000 “affiliated” users and 147,000 co-authors for more than 170,000 research outputs. In VIVO, these account for over 30 million triples

This presentation explores the limitations of populating and maintaining a dataset of such size, the effects of highly linked data (not just users and publications, but concepts, grants, even external co-authors), the hardware requirements, and investigates how scalability could be addressed.