Modulation of the gear mesh vibration is a major field of research for the condition monitoring of planetary gearboxes.The modulation creates sidebands around the gearmesh frequency in the vibration spectrum,and the d...Modulation of the gear mesh vibration is a major field of research for the condition monitoring of planetary gearboxes.The modulation creates sidebands around the gearmesh frequency in the vibration spectrum,and the distribution of these sidebands has been researched in numerous papers.All publications on the subject assume that the effect of the time varying signal propagation delay between the main vibration source–the gear mesh point(s)–and the(usually fixed)transducer can be neglected.This paper investigates the validity of this assumption.To do so,a planetary gearbox with a transducer mounted on the(fixed)ring gear is studied,and the effect of the propagation delay is modelled as a phase modulation of the gear mesh vibration.General expressions are then derived for the distribution and strength of the modulation sidebands,and these expressions are applied to quantify the effect of the propagation delay on five industrial gearboxes.The results show that the amplitude of the sidebands is negligible and would not interfere with condition assessment based on analysis of the modulation of the gear mesh frequency,and thus the propagation delay can be neglected for practical purposes.展开更多
The objective of this study was to assess the regulatory framework for health data in Indonesia in order to understand the policy context and explore the possibility of expanding the adoption and implementation of the...The objective of this study was to assess the regulatory framework for health data in Indonesia in order to understand the policy context and explore the possibility of expanding the adoption and implementation of the FAIR Guidelines,which state that data should be Findable,Accessible,Interoperable and Reusable(FAIR),in Indonesia.Although the FAIR Guidelines were not explicitly mentioned in any of the policy documents relevant to the Indonesian digital health sector,six out of the eight documents analysed contained FAIR Equivalent principles.In particular,Indonesia’s Population Identification Number(NIK)has the potential,as a unique identifier,to support the integration and interoperability(findability)of data,which is crucial to all other aspects of the FAIR Guidelines.There is also a plan to build standards and protocols into the implementation of information systems in each ministry and government agency to improve data accessibility(accessibility),the integration of the various information systems is planned/ongoing(interoperability),and the need for a standardised arrangement for health information systems related to health data following the community standard is recognised(reusability).The documents at the core of Indonesia’s digital health/e Health policy have the highest FAIR Equivalency Score(FE-Score),showing some degree of alignment between the Indonesian digital health implementation vision and the FAIR Guidelines.This indicates that Indonesia’s digital health sector is open to using the FAIR Guidelines.展开更多
This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship,which provide that data should be findable,accessible,interoperable and reusable.The implem...This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship,which provide that data should be findable,accessible,interoperable and reusable.The implementation of these principles is designed to lead to the stewardship of data as FAIR digital objects and the establishment of the Internet of FAIR Data and Services(IFDS).If implementation reaches a tipping point,IFDS has the potential to revolutionize how data is managed by making machine and human readable data discoverable for reuse.Accordingly,this article examines the expansion of the implementation of FAIR Guiding Principles,especially how and in which geographies(locations)and areas(topic domains)implementation is taking place.A literature review of academic articles published between 2016 and 2019 on the use of FAIR Guiding Principles is presented.The investigation also includes an analysis of the domains in the IFDS Implementation Networks(INs).Its uptake has been mainly in the Western hemisphere.The investigation found that implementation of FAIR Guiding Principles has taken firm hold in the domain of bio and natural sciences.To achieve a tipping point for FAIR implementation,it is now time to ensure the inclusion of non-European ascendants and of other scientific domains.Apart from equal opportunity and genuine global partnership issues,a permanent European bias poses challenges with regard to the representativeness and validity of data and could limit the potential of IFDS to reach across continental boundaries.The article concludes that,despite efforts to be inclusive,acceptance of the FAIR Guiding Principles and IFDS in different scientific communities is limited and there is a need to act now to prevent dampening of the momentum in the development and implementation of the IFDS.It is further concluded that policy entrepreneurs and the GO FAIR INs may contribute to making the FAIR Guiding Principles more flexible in including different research epistemologies,especially through its GO CHANGE pillar.展开更多
This article investigates expansion of the Internet of FAIR Data and Services(IFDS)to Africa,through the three GO FAIR pillars:GO CHANGE,GO BUILD and GO TRAIN.Introduction of the IFDS in Africa has a focus on digital ...This article investigates expansion of the Internet of FAIR Data and Services(IFDS)to Africa,through the three GO FAIR pillars:GO CHANGE,GO BUILD and GO TRAIN.Introduction of the IFDS in Africa has a focus on digital health.Two examples of introducing FAIR are compared:a regional initiative for digital health by governments in the East Africa Community(EAC)and an initiative by a local health provider(Solidarmed)in collaboration with Great Zimbabwe University in Zimbabwe.The obstacles to introducing FAIR are identified as underrepresentation of data from Africa in IFDS at this moment,the lack of explicit recognition of situational context of research in FAIR at present and the lack of acceptability of FAIR as a foreign and European invention which affects acceptance.It is envisaged that FAIR has an important contribution to solve fragmentation in digital health in Africa,and that any obstacles concerning African participation,context relevance and acceptance of IFDS need to be removed.This will require involvement of African researchers and ICT-developers so that it is driven by local ownership.Assessment of ecological validity in FAIR principles would ensure that the context specificity of research is reflected in the FAIR principles.This will help enhance the acceptance of the FAIR Guidelines in Africa and will help strengthen digital health research and services.展开更多
This study provides an analysis of the implementation of FAIR Guidelines in selected non-Western geographies. The analysis was based on a systematic literature review to determine if the findability, accessibility, in...This study provides an analysis of the implementation of FAIR Guidelines in selected non-Western geographies. The analysis was based on a systematic literature review to determine if the findability, accessibility, interoperability, and reusability of data is seen as an issue, if the adoption of the FAIR Guidelines is seen as a solution, and if the climate is conducive to the implementation of the FAIR Guidelines. The results show that the FAIR Guidelines have been discussed in most of the countries studied, which have identified data sharing and the reusability of research data as an issue(e.g., Kazakhstan, Russia, countries in the Middle East), and partially introduced in others(e.g., Indonesia). In Indonesia, a FAIR equivalent system has been introduced, although certain functions need to be added for data to be entirely FAIR. In Japan, both FAIR equivalent systems and FAIR-based systems have been adopted and created, and the acceptance of FAIRbased systems is recommended by the Government of Japan. In a number of African countries, the FAIR Guidelines are in the process of being implemented and the implementation of FAIR is well supported. In conclusion, a window of opportunity for implementing the FAIR Guidelines is open in most of the countries studied, however, more awareness needs to be raised about the benefits of FAIR in Russia and Kazakhstan to place it firmly on the policy agenda.展开更多
Law enforcement agencies have a restricted area in which their powers apply,which is called their jurisdiction.These restrictions also apply to the Internet.However,on the Internet,the physical borders of the jurisdic...Law enforcement agencies have a restricted area in which their powers apply,which is called their jurisdiction.These restrictions also apply to the Internet.However,on the Internet,the physical borders of the jurisdiction,typically country borders,are hard to discover.In our case,it is hard to establish whether someone involved in criminal online behavior is indeed a Dutch citizen.We propose a way to overcome the arduous task of manually investigating whether a user on an Internet forum is Dutch or not.More precisely,we aim to detect that a given English text is written by a Dutch native author.To develop a detector,we follow a machine learning approach.Therefore,we need to prepare a specific training corpus.To obtain a corpus that is representative for online forums,we collected a large amount of English forum posts from Dutch and non-Dutch authors on Reddit.To learn a detection model,we used a bag-of-words representation to capture potential misspellings,grammatical errors or unusual turns of phrases that are characteristic of the mother tongue of the authors.For this learning task,we compare the linear support vector machine and regularized logistic regression using the appropriate performance metrics f1 score,precision,and average precision.Our results show logistic regression with frequency-based feature selection performs best at predicting Dutch natives.Further study should be directed to the general applicability of the results that is to find out if the developed models are applicable to other forums with comparable high performance.展开更多
The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in 2016.By intention,the 15 FAIR guiding principles do not dictate specific technological implem...The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in 2016.By intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital resources.This has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR solutions.However,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations.Thus,while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways,for true interoperability we need to support convergence in implementation choices that are widely accessible and(re)-usable.We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR implementations.Any self-identified stakeholder community may either choose to reuse solutions from existing implementations,or when they spot a gap,accept the challenge to create the needed solution,which,ideally,can be used again by other communities in the future.Here,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle.展开更多
基金The part of this research conducted at the University of New South Wales was supported by the Australian Government through the Australian Research Council Discovery Project DP160103501.
文摘Modulation of the gear mesh vibration is a major field of research for the condition monitoring of planetary gearboxes.The modulation creates sidebands around the gearmesh frequency in the vibration spectrum,and the distribution of these sidebands has been researched in numerous papers.All publications on the subject assume that the effect of the time varying signal propagation delay between the main vibration source–the gear mesh point(s)–and the(usually fixed)transducer can be neglected.This paper investigates the validity of this assumption.To do so,a planetary gearbox with a transducer mounted on the(fixed)ring gear is studied,and the effect of the propagation delay is modelled as a phase modulation of the gear mesh vibration.General expressions are then derived for the distribution and strength of the modulation sidebands,and these expressions are applied to quantify the effect of the propagation delay on five industrial gearboxes.The results show that the amplitude of the sidebands is negligible and would not interfere with condition assessment based on analysis of the modulation of the gear mesh frequency,and thus the propagation delay can be neglected for practical purposes.
基金VODAN-Africathe Philips Foundation+2 种基金the Dutch Development Bank FMOCORDAIDthe GO FAIR Foundation for supporting this research
文摘The objective of this study was to assess the regulatory framework for health data in Indonesia in order to understand the policy context and explore the possibility of expanding the adoption and implementation of the FAIR Guidelines,which state that data should be Findable,Accessible,Interoperable and Reusable(FAIR),in Indonesia.Although the FAIR Guidelines were not explicitly mentioned in any of the policy documents relevant to the Indonesian digital health sector,six out of the eight documents analysed contained FAIR Equivalent principles.In particular,Indonesia’s Population Identification Number(NIK)has the potential,as a unique identifier,to support the integration and interoperability(findability)of data,which is crucial to all other aspects of the FAIR Guidelines.There is also a plan to build standards and protocols into the implementation of information systems in each ministry and government agency to improve data accessibility(accessibility),the integration of the various information systems is planned/ongoing(interoperability),and the need for a standardised arrangement for health information systems related to health data following the community standard is recognised(reusability).The documents at the core of Indonesia’s digital health/e Health policy have the highest FAIR Equivalency Score(FE-Score),showing some degree of alignment between the Indonesian digital health implementation vision and the FAIR Guidelines.This indicates that Indonesia’s digital health sector is open to using the FAIR Guidelines.
文摘This article explores the global implementation of the FAIR Guiding Principles for scientific management and data stewardship,which provide that data should be findable,accessible,interoperable and reusable.The implementation of these principles is designed to lead to the stewardship of data as FAIR digital objects and the establishment of the Internet of FAIR Data and Services(IFDS).If implementation reaches a tipping point,IFDS has the potential to revolutionize how data is managed by making machine and human readable data discoverable for reuse.Accordingly,this article examines the expansion of the implementation of FAIR Guiding Principles,especially how and in which geographies(locations)and areas(topic domains)implementation is taking place.A literature review of academic articles published between 2016 and 2019 on the use of FAIR Guiding Principles is presented.The investigation also includes an analysis of the domains in the IFDS Implementation Networks(INs).Its uptake has been mainly in the Western hemisphere.The investigation found that implementation of FAIR Guiding Principles has taken firm hold in the domain of bio and natural sciences.To achieve a tipping point for FAIR implementation,it is now time to ensure the inclusion of non-European ascendants and of other scientific domains.Apart from equal opportunity and genuine global partnership issues,a permanent European bias poses challenges with regard to the representativeness and validity of data and could limit the potential of IFDS to reach across continental boundaries.The article concludes that,despite efforts to be inclusive,acceptance of the FAIR Guiding Principles and IFDS in different scientific communities is limited and there is a need to act now to prevent dampening of the momentum in the development and implementation of the IFDS.It is further concluded that policy entrepreneurs and the GO FAIR INs may contribute to making the FAIR Guiding Principles more flexible in including different research epistemologies,especially through its GO CHANGE pillar.
文摘This article investigates expansion of the Internet of FAIR Data and Services(IFDS)to Africa,through the three GO FAIR pillars:GO CHANGE,GO BUILD and GO TRAIN.Introduction of the IFDS in Africa has a focus on digital health.Two examples of introducing FAIR are compared:a regional initiative for digital health by governments in the East Africa Community(EAC)and an initiative by a local health provider(Solidarmed)in collaboration with Great Zimbabwe University in Zimbabwe.The obstacles to introducing FAIR are identified as underrepresentation of data from Africa in IFDS at this moment,the lack of explicit recognition of situational context of research in FAIR at present and the lack of acceptability of FAIR as a foreign and European invention which affects acceptance.It is envisaged that FAIR has an important contribution to solve fragmentation in digital health in Africa,and that any obstacles concerning African participation,context relevance and acceptance of IFDS need to be removed.This will require involvement of African researchers and ICT-developers so that it is driven by local ownership.Assessment of ecological validity in FAIR principles would ensure that the context specificity of research is reflected in the FAIR principles.This will help enhance the acceptance of the FAIR Guidelines in Africa and will help strengthen digital health research and services.
基金VODAN-Africathe Philips Foundation+2 种基金the Dutch Development Bank FMOCORDAIDthe GO FAIR Foundation for supporting this research
文摘This study provides an analysis of the implementation of FAIR Guidelines in selected non-Western geographies. The analysis was based on a systematic literature review to determine if the findability, accessibility, interoperability, and reusability of data is seen as an issue, if the adoption of the FAIR Guidelines is seen as a solution, and if the climate is conducive to the implementation of the FAIR Guidelines. The results show that the FAIR Guidelines have been discussed in most of the countries studied, which have identified data sharing and the reusability of research data as an issue(e.g., Kazakhstan, Russia, countries in the Middle East), and partially introduced in others(e.g., Indonesia). In Indonesia, a FAIR equivalent system has been introduced, although certain functions need to be added for data to be entirely FAIR. In Japan, both FAIR equivalent systems and FAIR-based systems have been adopted and created, and the acceptance of FAIRbased systems is recommended by the Government of Japan. In a number of African countries, the FAIR Guidelines are in the process of being implemented and the implementation of FAIR is well supported. In conclusion, a window of opportunity for implementing the FAIR Guidelines is open in most of the countries studied, however, more awareness needs to be raised about the benefits of FAIR in Russia and Kazakhstan to place it firmly on the policy agenda.
文摘Law enforcement agencies have a restricted area in which their powers apply,which is called their jurisdiction.These restrictions also apply to the Internet.However,on the Internet,the physical borders of the jurisdiction,typically country borders,are hard to discover.In our case,it is hard to establish whether someone involved in criminal online behavior is indeed a Dutch citizen.We propose a way to overcome the arduous task of manually investigating whether a user on an Internet forum is Dutch or not.More precisely,we aim to detect that a given English text is written by a Dutch native author.To develop a detector,we follow a machine learning approach.Therefore,we need to prepare a specific training corpus.To obtain a corpus that is representative for online forums,we collected a large amount of English forum posts from Dutch and non-Dutch authors on Reddit.To learn a detection model,we used a bag-of-words representation to capture potential misspellings,grammatical errors or unusual turns of phrases that are characteristic of the mother tongue of the authors.For this learning task,we compare the linear support vector machine and regularized logistic regression using the appropriate performance metrics f1 score,precision,and average precision.Our results show logistic regression with frequency-based feature selection performs best at predicting Dutch natives.Further study should be directed to the general applicability of the results that is to find out if the developed models are applicable to other forums with comparable high performance.
基金The work of A.Jacobsen,C.Evelo,M.Thompson,R.Cornet,R.Kaliyaperuma and M.Roos is supported by funding from the European Union’s Horizon 2020 research and innovation program under the EJP RD COFUND-EJP N°825575.The work of A.Jacobsen,C.Evelo,C.Goble,M.Thompson,N.Juty,R.Hooft,M.Roos,S-A.Sansone,P.McQuilton,P.Rocca-Serra and D.Batista is supported by funding from ELIXIR EXCELERATE,H2020 grant agreement number 676559.R.Hooft was further funded by NL NWO NRGWI.obrug.2018.009.N.Juty and C.Goble were funded by CORBEL(H2020 grant agreement 654248)N.Juty,C.Goble,S-A.Sansone,P.McQuilton,P.Rocca-Serra and D.Batista were funded by FAIRplus(IMI grant agreement 802750)+13 种基金N.Juty,C.Goble,M.Thompson,M.Roos,S-A.Sansone,P.McQuilton,P.Rocca-Serra and D.Batista were funded by EOSClife H2020-EU(grant agreement number 824087)C.Goble was funded by DMMCore(BBSRC BB/M013189/)M.Thompson,M.Roos received funding from NWO(VWData 400.17.605)S-A.Sansone,P.McQuilton,P.Rocca-Serra and D.Batista have been funded by grants awarded to S-A.Sansone from the UK BBSRC and Research Councils(BB/L024101/1,BB/L005069/1)EU(H2020-EU 634107H2020-EU 654241,IMI(IMPRiND 116060)NIH Data Common Fund,and from the Wellcome Trust(ISA-InterMine 212930/Z/18/ZFAIRsharing 208381/A/17/Z)The work of A.Waagmeester has been funded by grant award number GM089820 from the National Institutes of Health.M.Kersloot was funded by the European Regional Development Fund(KVW-00163).The work of N.Meyers was funded by the National Science Foundation(OAC 1839030)The work of M.D.Wilkinson is funded by Isaac Peral/Marie Curie cofund with the Universidad Politecnica de Madrid and the Ministerio de Economia y Competitividad grant number TIN2014-55993-RMThe work of B.Magagna,E.Schultes,L.da Silva Santos and K.Jeffery is funded by the H2020-EU 824068The work of B.Magagna,E.Schultes and L.da Silva Santos is funded by the GO FAIR ISCO grant of the Dutch Ministry of Science and CultureThe work of G.Guizzardi is supported by the OCEAN Project(FUB).M.Courtot received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No.802750.R.Cornet was further funded by FAIR4Health(H2020-EU grant agreement number 824666)K.Jeffery received funding from EPOS-IP H2020-EU agreement 676564 and ENVRIplus H2020-EU agreement 654182.
文摘The FAIR principles have been widely cited,endorsed and adopted by a broad range of stakeholders since their publication in 2016.By intention,the 15 FAIR guiding principles do not dictate specific technological implementations,but provide guidance for improving Findability,Accessibility,Interoperability and Reusability of digital resources.This has likely contributed to the broad adoption of the FAIR principles,because individual stakeholder communities can implement their own FAIR solutions.However,it has also resulted in inconsistent interpretations that carry the risk of leading to incompatible implementations.Thus,while the FAIR principles are formulated on a high level and may be interpreted and implemented in different ways,for true interoperability we need to support convergence in implementation choices that are widely accessible and(re)-usable.We introduce the concept of FAIR implementation considerations to assist accelerated global participation and convergence towards accessible,robust,widespread and consistent FAIR implementations.Any self-identified stakeholder community may either choose to reuse solutions from existing implementations,or when they spot a gap,accept the challenge to create the needed solution,which,ideally,can be used again by other communities in the future.Here,we provide interpretations and implementation considerations(choices and challenges)for each FAIR principle.
