scholarly journals FoodChain-Lab Web: An integrative modular software to visualise and analyse complex global food supply chain networks during foodborne incidents

2021 ◽  
Vol 4 ◽  
Author(s):  
Marion Gottschald ◽  
Birgit Lewicki ◽  
Alexander Falenski ◽  
Marco Rügen ◽  
Isaak Gerber ◽  
...  
Keyword(s):  
Data Collection ◽  
Supply Chains ◽  
Web Application ◽  
Data Exchange ◽  
One Health ◽  
Disease Outbreaks ◽  
Integrative Approach ◽  
Sequencing Data ◽  
Supply Chain Networks ◽  
The Future

In times of globalised food and feed trade, powerful integrative software tools are essential to solve foodborne crises quickly and reliably. The FoodChain-Lab web application (FCL Web; https://fcl-portal.bfr.berlin/) is such a tool. FCL Web is free and open-source software which helps to trace back and forward food along complex global supply chains during foodborne disease outbreaks or other food-related events. In the framework of One Health EJP COHESIVE, the efforts of several national and international tracing-related software projects are integrated within FCL Web to provide a modular tracing platform following the One Health approach. FCL Web unifies interactive tracing data visualisation, analysis as well as reporting - and in the future data collection - in one modular tracing platform (Fig. 1). The interactive analysis module was developed in a project with EFSA and offers automated visualisation of supply chains based on the needs of the user. A data table displays key information on involved food business operators and food items and includes comprehensive filter functions to analyse the information given in the table. The analysis module also helps to run simulations on hypothetical cross contamination or geographic clustering events during outbreaks via a scoring algorithm for deliveries and food business operators. A pilot version of a reporting module was integrated in FCL Web as well to display tracing, sample and case information in a format suitable for publishing tracing results in outbreak reports. A web-based tracing data collection mask offering a guided and structured data assessment with access to curated data was developed in a national project and will be integrated in FCL Web soon. Its multi-language design allows for potential European-wide use. In the future, more modules, e.g. to analyse genome sequencing data in the context of tracing are planned for FCL Web. With its features and its integrative approach, FCL Web blends seamlessly into a list of crucial tracing tool projects in Europe. In the future, these tools will be strongly interconnected to serve several tracing purposes on the local, national or European level. Hence, there is a need to improve interoperability of the tools e.g. via a universal data exchange format.

Managing long supply chain networks: some emerging issues and challenges

2008 ◽  
Vol 19 (4) ◽  
pp. 469-496 ◽  
Author(s):  
Vipul Jain ◽  
Lyes Benyoucef
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Supply Chains ◽  
New Products ◽  
Research Work ◽  
Future Market ◽  
Research Issues ◽  
Content Type ◽  
Supply Chain Networks ◽  
The Future

PurposeThe emergence of new manufacturing technologies, spurred by intense competition, will lead to dramatically new products and processes. New management systems, organizational structures, and decision‐making methods will also emerge as complements to new products and processes. This paper attempts to investigate technologies, systems and paradigms for the effective management of networked enterprise (supply chain networks), especially long supply chains. In doing so, the paper presents not only an exhaustive literature review to identify the complexities, gaps and challenges associated with long supply chains but also the emerging enabling technologies to support these gaps and challenges.Design/methodology/approachThe approach takes the form of an interview of industrials, researchers and a literature review.Findings“Competition in the future will not be between individual enterprises but between competing supply chains.” Business opportunities are captured by groups of enterprises in the same enterprise network. This is due to the global competition that forces enterprises to focus on their core competences.Practical implicationsThe paper presents a vision of the future technical issues relating to long supply chains and an insight into the future scientific and industrial advances required to meet future market and public demands.Originality/valueThis research work highlights the research issues and discusses the key enabling features, which will need to evolve and be perfected in industry in the future manufacturing networked enterprises and especially long manufacturing supply chains.

scholarly journals Making Linked Data accessible for One Health Surveillance with the "One Health Linked Data Toolbox"

2021 ◽  
Vol 4 ◽  
Author(s):  
Taras Günther ◽  
Matthias Filter ◽  
Fernanda Dórea
Keyword(s):  
Semantic Web ◽  
Web Application ◽  
Linked Data ◽  
Data Exchange ◽  
One Health ◽  
Health Surveillance ◽  
Knowledge Model ◽  
Data Interoperability ◽  
The One ◽  
The Web

In times of emerging diseases, data sharing and data integration are of particular relevance for One Health Surveillance (OHS) and decision support. Furthermore, there is an increasing demand to provide governmental data in compliance to the FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Semantic web technologies are key facilitators for providing data interoperability, as they allow explicit annotation of data with their meaning, enabling reuse without loss of the data collection context. Among these, we highlight ontologies as a tool for modeling knowledge in a field, which simplify the interpretation and mapping of datasets in a computer readable medium; and the Resource Description Format (RDF), which allows data to be shared among human and computer agents following this knowledge model. Despite their potential for enabling cross-sectoral interoperability and data linkage, the use and application of these technologies is often hindered by their complexity and the lack of easy-to-use software applications. To overcome these challenges the OHEJP Project ORION developed the Health Surveillance Ontology (HSO). This knowledge model forms a foundation for semantic interoperability in the domain of One Health Surveillance. It provides a solution to add data from the target sectors (public health, animal health and food safety) in compliance with the FAIR principles of findability, accessibility, interoperability, and reusability, supporting interdisciplinary data exchange and usage. To provide use cases and facilitate the accessibility to HSO, we developed the One Health Linked Data Toolbox (OHLDT), which consists of three new and custom-developed web applications with specific functionalities. The first web application allows users to convert surveillance data available in Excel files online into HSO-RDF and vice versa. The web application demonstrates that data provided in well-established data formats can be automatically translated in the linked data format HSO-RDF. The second application is a demonstrator of the usage of HSO-RDF in a HSO triplestore database. In the user interface of this application, the user can select HSO concepts based on which to search and filter among surveillance datasets stored in a HSO triplestore database. The service then provides automatically generated dashboards based on the context of the data. The third web application demonstrates the use of data interoperability in the OHS context by using HSO-RDF to annotate meta-data, and in this way link datasets across sectors. The web application provides a dashboard to compare public data on zoonosis surveillance provided by EFSA and ECDC. The first solution enables linked data production, while the second and third provide examples of linked data consumption, and their value in enabling data interoperability across sectors. All described solutions are based on the open-source software KNIME and are deployed as web service via a KNIME Server hosted at the German Federal Institute for Risk Assessment. The semantic web extension of KNIME, which is based on the Apache Jena Framework, allowed a rapid an easy development within the project. The underlying open source KNIME workflows are freely available and can be easily customized by interested end users. With our applications, we demonstrate that the use of linked data has a great potential strengthening the use of FAIR data in OHS and interdisciplinary data exchange.

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health, public health, and One Health

2021 ◽  
pp. 104063872110030
Author(s):  
Craig N. Carter ◽  
Jacqueline L. Smith
Keyword(s):  
Public Health ◽  
Data Streams ◽  
One Health ◽  
Animal Health ◽  
Disease Outbreaks ◽  
Large Data ◽  
Health Impact ◽  
The United States ◽  
Zoonotic Diseases ◽  
Diagnostic Laboratory

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.

Comparability and Short-Term Stability of Techniques to Assess Extension of Thinking about One's Personal Future

1983 ◽  
Vol 56 (2) ◽  
pp. 559-564 ◽  
Author(s):  
William Rakowski ◽  
Clifton E. Barber ◽  
Wayne C. Seelbach
Keyword(s):  
Data Collection ◽  
Life Events ◽  
Short Term ◽  
Life Event ◽  
Term Stability ◽  
The Future ◽  
Changes Over Time ◽  
Over Time

Three techniques for assessing extension of one's personal future (line-marking, open-ended report, life-events) were compared in a sample of 74 respondents. Two points of data collection were employed to examine short-term stability. At both administrations, correlations among indices suggested that techniques were only moderately comparable. Short-term stabilities were variable; correlations ranged from .42 to .79. Across subgroups of the sample, the direct, open-ended report of extension showed the greatest stability, while life-event extension showed the least. Apparently, extension of thinking about the future should be assessed by more than one technique to investigate potential relationships with other variables or changes over time in perspective about the future.

The power of open-source hardware in crisis

2021 ◽  
Vol 28 (2) ◽  
pp. 51-55
Author(s):  
Alex Long
Keyword(s):  
Supply Chains ◽  
Open Source ◽  
The Future ◽  
Open Source Hardware

Could open-source solutions provide a crucial layer of defense for the future of pandemic-ready and disaster-resilient supply chains?

Simplifying spectroscopic supplementary data collection

2017 ◽  
pp. 6-10
Keyword(s):  
Data Collection ◽  
Peer Review ◽  
Spectroscopic Data ◽  
Supplementary Data ◽  
Low Resolution ◽  
Full Data ◽  
The Future ◽  
Published Paper ◽  
Low Resolution Images

Tony Davies and a number of others consider collecting supplementary spectroscopic data. Like Eurospec, the plan is to use such supplementary data not only to enhance the published paper, but also to aid thorough peer-review by allowing reviewers access to the full data rather than, as Tony puts it, “low-resolution images of data”. I’m sure you will be interested in a look at the future through this column.

scholarly journals The Future of Resilient Supply Chains

2018 ◽  
pp. 169-186
Author(s):  
Mattia Donadoni ◽  
Sinéad Roden ◽  
Kirstin Scholten ◽  
Mark Stevenson ◽  
Federico Caniato ◽  
...  
Keyword(s):  
Supply Chains ◽  
The Future

scholarly journals Phylogeographic Analysis Reveals Multiple International transmission Events Have Driven the Global Emergence of Escherichia coli O157:H7

2018 ◽  
Vol 69 (3) ◽  
pp. 428-437 ◽  
Author(s):  
Eelco Franz ◽  
Ovidiu Rotariu ◽  
Bruno S Lopes ◽  
Marion MacRae ◽  
James L Bono ◽  
...  
Keyword(s):  
United States ◽  
Disease Outbreaks ◽  
The United States ◽  
Human Case ◽  
Whole Genome Sequencing Data ◽  
Nucleotide Polymorphisms ◽  
Sequencing Data ◽  
E Coli ◽  
Phylogeographic Analysis ◽  
International Distribution

AbstractBackgroundShiga toxin–producing Escherchia coli (STEC) O157:H7 is a zoonotic pathogen that causes numerous food and waterborne disease outbreaks. It is globally distributed, but its origin and the temporal sequence of its geographical spread are unknown.MethodsWe analyzed whole-genome sequencing data of 757 isolates from 4 continents, and performed a pan-genome analysis to identify the core genome and, from this, extracted single-nucleotide polymorphisms. A timed phylogeographic analysis was performed on a subset of the isolates to investigate its worldwide spread.ResultsThe common ancestor of this set of isolates occurred around 1890 (1845–1925) and originated from the Netherlands. Phylogeographic analysis identified 34 major transmission events. The earliest were predominantly intercontinental, moving from Europe to Australia around 1937 (1909–1958), to the United States in 1941 (1921–1962), to Canada in 1960 (1943–1979), and from Australia to New Zealand in 1966 (1943–1982). This pre-dates the first reported human case of E. coli O157:H7, which was in 1975 from the United States.ConclusionsInter- and intra-continental transmission events have resulted in the current international distribution of E. coli O157:H7, and it is likely that these events were facilitated by animal movements (eg, Holstein Friesian cattle). These findings will inform policy on action that is crucial to reduce the further spread of E. coli O157:H7 and other (emerging) STEC strains globally.

scholarly journals ANALISIS ENTREPRENEURIAL LEADERSHIP DAN HAMBATAN PERTUMBUHAN USAHA DI UMKM PENGOLAHAN TAHU “RDS” SINGOSARI MALANG

2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Aris Wahyu Tristanto ◽  
Ludi Wishnu Wardana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Research Design ◽  
Entrepreneurial Leadership ◽  
Data Collection Methods ◽  
Qualitative Research Design ◽  
The Future ◽  
New Ideas ◽  
Collection Methods

This research was conducted to describe the entrepreneurial leadership of SMEs Tofu "RDS" and description about the obstacles experienced by SMEs Tofu "RDS". This research uses descriptive qualitative research design that aims to obtain the information available at this time, and then attempt to describe, record and interpret the information. Data collection methods used were interviews, observation and documentation. This type of qualitative research is case study. The result of the research is the condition of entrepreneurial leadership from the leadership of SMEs Tofu "RDS" is generally good because he is able to motivate employees well, have a picture of the future effort, able to read opportunities well, actively seeking new ideas, persistent in running their business And barriers faced by SMEs Tofu "RDS" can be overcome well by the leadership of SMEs Tofu RDS.

scholarly journals Review of Toponymic Studies of Altai and Siberia in the Anthropocentric Paradigm

2021 ◽  
pp. 478-488
Author(s):  
Svetlana P. Vasil’eva ◽  
Lidia M. Dmitrieva
Keyword(s):  
Scientific Knowledge ◽  
Integrative Approach ◽  
Cognitive Structures ◽  
Cognitive Modelling ◽  
Cultural Interpretation ◽  
Previous Period ◽  
Cultural Information ◽  
The World ◽  
The Future

At the turn of the 20th–21st centuries there appeared a trend of appeal to the anthropocentric paradigm for scientific knowledge in the toponymic studies. In the previous period, the toponymic studies relied upon the properties of toponyms as language units at the semantic, structural, and grammatical levels. At the same time, the ethnocultural aspect of the geographic names manifesting the ethnocultural stereotypes for exploring the world, and, wider, for the worldview of both contemplating man and acting man remained outside the scope of linguistic studies. Rooted in the integrative approach to analysis of linguistic phenomena, the anthropocentrism principles determined a qualitatively new stage of research based on activating the cognitive structures of mental knowledge. Thus, the presented review shows that toponyms are an important source of ethnocultural information that can be extracted through cognitive modelling and linguistic and cultural interpretation within the framework of the anthropocentric paradigm. In the future, the applied methods of toponymic research can be extrapolated to other sources of linguistic and cultural information

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