The i4sea research project provides effective and efficient big data integration,processing,and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in natio...The i4sea research project provides effective and efficient big data integration,processing,and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas.This paper presents the architecture of the i4sea big data platform for sea area monitoring and analysis of fishing vessels activity and demonstrates the operation of some use-case pilot scenarios.展开更多
AIM: To evaluate a new therapeutic approach that may permanently address excessive involuntary muscle activity which causes temporomandibular disorders(TMD). METHODS: A cohort of 69 TMD patients(33 men and 36 women, a...AIM: To evaluate a new therapeutic approach that may permanently address excessive involuntary muscle activity which causes temporomandibular disorders(TMD). METHODS: A cohort of 69 TMD patients(33 men and 36 women, age range 14-71 years) was treated with Subconscious Temporomandibular Dysfunction(STe Dy) therapy. A thick awareness splint assisted patients to gradually recognize the interdependence between psychological pressure and subconscious muscle activity. The STe Dy therapy lasted for one year and involved three stages:(1) data collection including medical history, clinical examination and psychological evaluation;(2) application of the awareness splint and consultation on a monthly basis; and(3) final evaluation.RESULTS: About 10% of patients(3 men and 4 women) quit the STe Dy therapy within the first 3-6 modue to severe health problems or psychosocial reasons. Based on the absence of objective and subjective clinical symptoms as well as on radiographic findings, the temporomandibular dysfunction treatment was successful in all remaining 62 patients that completed the year-long therapy. Symptoms, including recurrent headache, morning fatigue, clicking sound or painful temporomandibular joint disorders, were eliminated in all patients within the first six months. By completion of the STe Dy therapy, all patients had learned to recognize stressful conditions and cognitively avoided displaying excessive bruxism or other subconscious activity of the stomatognathic muscles. A follow-up after at least one year indicated the permanent nature of the cognitive treatment in all patients, illustrating the fact that subconscious muscle activity due to stress plays a principal role in the great majority of TMD, at least in adults.CONCLUSION: The STe Dy therapy successfully and permanently resolved TMD problems of all patients that completed the year-long treatment.展开更多
Programming errors in Ethereum smart contracts can result in catastrophic financial losses from stolen cryptocurrency.While vulnerability detectors can prevent vulnerable contracts from being deployed,this does not me...Programming errors in Ethereum smart contracts can result in catastrophic financial losses from stolen cryptocurrency.While vulnerability detectors can prevent vulnerable contracts from being deployed,this does not mean that such contracts will not be deployed.Once a vulnerable contract is instantiated on the blockchain and becomes the target of attacks,the identification of exploit transactions becomes indispensable in assessing whether it has been actually exploited and identifying which malicious or subverted accounts were involved.In this work,we study the problem of post-factum investigation of Ethereum attacks using Indicators of Compromise(IoC)specially crafted for use in the blockchain.IoC definitions need to capture the side-effects of successful exploitation in the context of the Ethereum blockchain.Therefore,we define a model for smart contract execution,comprising multiple abstraction levels that mirror the multiple views of code execution on a blockchain.Subsequently,we compare IoCs defined across the different levels in terms of their effectiveness and practicality through EtherClue,a prototype tool for investigating Ethereum security incidents.Our results illustrate that coarse-grained IoCs defined over blocks of transactions can detect exploit transactions with less computation.However,they are contract-specific and suffer from false negatives.On the other hand,fine-grained IoCs defined over virtual machine instructions can avoid these pitfalls at the expense of increased computation,which is nevertheless applicable for practical use.展开更多
基金supported by the Greek Ministry of Development and Investment,General Secretariat of Research and Technology,under the Operational Programme Competitiveness,Entrepreneurship and Innovation 2014-2020[grant T1EDK-03268,i4sea].
文摘The i4sea research project provides effective and efficient big data integration,processing,and analysis technologies to deliver both real-time and historical operational snapshots of fishing vessels activity in national sea areas.This paper presents the architecture of the i4sea big data platform for sea area monitoring and analysis of fishing vessels activity and demonstrates the operation of some use-case pilot scenarios.
文摘AIM: To evaluate a new therapeutic approach that may permanently address excessive involuntary muscle activity which causes temporomandibular disorders(TMD). METHODS: A cohort of 69 TMD patients(33 men and 36 women, age range 14-71 years) was treated with Subconscious Temporomandibular Dysfunction(STe Dy) therapy. A thick awareness splint assisted patients to gradually recognize the interdependence between psychological pressure and subconscious muscle activity. The STe Dy therapy lasted for one year and involved three stages:(1) data collection including medical history, clinical examination and psychological evaluation;(2) application of the awareness splint and consultation on a monthly basis; and(3) final evaluation.RESULTS: About 10% of patients(3 men and 4 women) quit the STe Dy therapy within the first 3-6 modue to severe health problems or psychosocial reasons. Based on the absence of objective and subjective clinical symptoms as well as on radiographic findings, the temporomandibular dysfunction treatment was successful in all remaining 62 patients that completed the year-long therapy. Symptoms, including recurrent headache, morning fatigue, clicking sound or painful temporomandibular joint disorders, were eliminated in all patients within the first six months. By completion of the STe Dy therapy, all patients had learned to recognize stressful conditions and cognitively avoided displaying excessive bruxism or other subconscious activity of the stomatognathic muscles. A follow-up after at least one year indicated the permanent nature of the cognitive treatment in all patients, illustrating the fact that subconscious muscle activity due to stress plays a principal role in the great majority of TMD, at least in adults.CONCLUSION: The STe Dy therapy successfully and permanently resolved TMD problems of all patients that completed the year-long treatment.
基金supported by the European Commission under the Horizon 2020 Programme(H2020)part of the LOCARD(https://locard.eu)(Grant Agreement No.832735)project.
文摘Programming errors in Ethereum smart contracts can result in catastrophic financial losses from stolen cryptocurrency.While vulnerability detectors can prevent vulnerable contracts from being deployed,this does not mean that such contracts will not be deployed.Once a vulnerable contract is instantiated on the blockchain and becomes the target of attacks,the identification of exploit transactions becomes indispensable in assessing whether it has been actually exploited and identifying which malicious or subverted accounts were involved.In this work,we study the problem of post-factum investigation of Ethereum attacks using Indicators of Compromise(IoC)specially crafted for use in the blockchain.IoC definitions need to capture the side-effects of successful exploitation in the context of the Ethereum blockchain.Therefore,we define a model for smart contract execution,comprising multiple abstraction levels that mirror the multiple views of code execution on a blockchain.Subsequently,we compare IoCs defined across the different levels in terms of their effectiveness and practicality through EtherClue,a prototype tool for investigating Ethereum security incidents.Our results illustrate that coarse-grained IoCs defined over blocks of transactions can detect exploit transactions with less computation.However,they are contract-specific and suffer from false negatives.On the other hand,fine-grained IoCs defined over virtual machine instructions can avoid these pitfalls at the expense of increased computation,which is nevertheless applicable for practical use.
