Author
John A. Miller
Other affiliations: Digital Enterprise Research Institute, New York University, Stony Brook University ...read more
Bio: John A. Miller is an academic researcher from University of Georgia. The author has contributed to research in topics: Web service & Workflow. The author has an hindex of 49, co-authored 224 publications receiving 13223 citations. Previous affiliations of John A. Miller include Digital Enterprise Research Institute & New York University.
Papers published on a yearly basis
Papers
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01 Jan 2002
TL;DR: This paper presents a predictive QoS model that makes it possible to compute the quality of service for workflows automatically based on atomic task QoS attributes, and presents the implementation of the model for the METEOR workflow system.
Abstract: Workflow management systems (WfMSs) have been used to support various types of business processes for more than a decade now. In workflows for e-commerce and Web service applications, suppliers and customers define a binding agreement or contract between the two parties, specifying Quality of Service (QoS) items such as products or services to be delivered, deadlines, quality of products, and cost of services. The management of QoS metrics directly impacts the success of organizations participating in e-commerce. Therefore, when services or products are created or managed using workflows, the underlying workflow system must accept the specifications and be able to estimate, monitor, and control the QoS rendered to customers. In this paper, we present a predictive QoS model that makes it possible to compute the quality of service for workflows automatically based on atomic task QoS attributes. To this end, we present a model that specifies QoS and describe an algorithm and a simulation system in order to compute, analyze and monitor workflow QoS metrics.
980 citations
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TL;DR: PlasmoDB as mentioned in this paper is a functional genomic database for Plasmodium spp. that provides a resource for data analysis and visualization in a gene-by-gene or genome-wide scale.
Abstract: PlasmoDB (http://PlasmoDB.org) is a functional genomic database for Plasmodium spp. that provides a resource for data analysis and visualization in a gene-by-gene or genome-wide scale. PlasmoDB belongs to a family of genomic resources that are housed under the EuPathDB (http://EuPathDB.org) Bioinformatics Resource Center (BRC) umbrella. The latest release, PlasmoDB 5.5, contains numerous new data types from several broad categories--annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution. Data in PlasmoDB can be queried by selecting the data of interest from a query grid or drop down menus. Various results can then be combined with each other on the query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.
966 citations
01 Jan 2008
TL;DR: The latest release, PlasmoDB 5.5, contains numerous new data types from several broad categories—annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution.
Abstract: PlasmoDB (http://PlasmoDB.org) is a functional genomic database for Plasmodium spp. that provides a resource for data analysis and visualization in a gene-by-gene or genome-wide scale. PlasmoDB belongs to a family of genomic resources that are housed under the EuPathDB (http://EuPathDB.org) Bioinformatics Resource Center (BRC) umbrella. The latest release, PlasmoDB 5.5, contains numerous new data types from several broad categories—annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution. Data in PlasmoDB can be queried by selecting the data of interest from a query grid or drop down menus. Various results can then be combined with each other on the query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.
911 citations
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TL;DR: TriTrypDB is an integrated database providing access to genome-scale datasets for kinetoplastid parasites, and supporting a variety of complex queries driven by research and development needs, utilizing a sophisticated search strategy system.
Abstract: TriTrypDB (http://tritrypdb.org) is an integrated database providing access to genome-scale datasets for kinetoplastid parasites, and supporting a variety of complex queries driven by research and development needs. TriTrypDB is a collaborative project, utilizing the GUS/WDK computational infrastructure developed by the Eukaryotic Pathogen Bioinformatics Resource Center (EuPathDB.org) to integrate genome annotation and analyses from GeneDB and elsewhere with a wide variety of functional genomics datasets made available by members of the global research community, often pre-publication. Currently, TriTrypDB integrates datasets from Leishmania braziliensis, L. infantum, L. major, L. tarentolae, Trypanosoma brucei and T. cruzi. Users may examine individual genes or chromosomal spans in their genomic context, including syntenic alignments with other kinetoplastid organisms. Data within TriTrypDB can be interrogated utilizing a sophisticated search strategy system that enables a user to construct complex queries combining multiple data types. All search strategies are stored, allowing future access and integrated searches. 'User Comments' may be added to any gene page, enhancing available annotation; such comments become immediately searchable via the text search, and are forwarded to curators for incorporation into the reference annotation when appropriate.
867 citations
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TL;DR: In this article, the authors present a predictive QoS model that makes it possible to compute the quality of service (QoS) for workflows automatically based on atomic task QoS attributes.
807 citations
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01 Aug 2000
TL;DR: Assessment of medical technology in the context of commercialization with Bioentrepreneur course, which addresses many issues unique to biomedical products.
Abstract: BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.
4,833 citations
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TL;DR: An update of the 2010 ESC Guidelines for the management of atrial fibrillation with the special contribution of the European Heart Rhythm Association is developed.
Abstract: 2012 focused update of the ESC Guidelines for the management of atrial fibrillation : an update of the 2010 ESC Guidelines for the management of atrial fibrillation: developed with the special contribution of the European Heart Rhythm Association
3,986 citations
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TL;DR: A prospective, randomized, double blind, Active-controlled, superiority study of Vernakalant vs. amiodarone in Recent Onset atrial fibrillation for the prevention of cardiovascular Hospitalization or death from any cause.
Abstract: ACCF
: American College of Cardiology Foundation
ACCP
: American College of Chest Physicians
ACS
: acute coronary syndrome
ACT
: Atrial arrhythmia Conversion Trial
ADONIS
: American–Australian–African trial with DronedarONe In atrial fibrillation or flutter for the maintenance of Sinus rhythm
AF
: atrial fibrillation
AHA
: American Heart Association
ANDROMEDA
: ANtiarrhythmic trial with DROnedarone in Moderate-to-severe congestive heart failure Evaluating morbidity DecreAse
APHRS
: Asia Pacific Heart Rhythm Society
aPTT
: activated partial thromboplastin time
ARB
: angiotensin-receptor blocker
ARISTOTLE
: Apixaban for Reduction In STroke and Other ThromboemboLic Events in atrial fibrillation
ATHENA
: A placebo-controlled, double-blind, parallel arm Trial to assess the efficacy of dronedarone 400 mg b.i.d. for the prevention of cardiovascular Hospitalization or death from any cause in patiENts with Atrial fibrillation/atrial flutter
ATRIA
: AnTicoagulation and Risk factors In Atrial fibrillation
AVERROES
: Apixaban VErsus acetylsalicylic acid (ASA) to Reduce the Rate Of Embolic Stroke in atrial fibrillation patients who have failed or are unsuitable for vitamin K antagonist treatment
AVRO
: A prospective, randomized, double-blind, Active-controlled, superiority study of Vernakalant vs. amiodarone in Recent Onset atrial fibrillation
b.i.d
: bis in die (twice daily)
b.p.m.
: beats per minute
CABANA
: Catheter ABlation vs . ANtiarrhythmic drug therapy for Atrial fibrillation
CABG
: coronary artery bypass graft
CAP
: Continued Access to Protect AF
CHA2DS2-VASc
: Congestive heart failure or left ventricular dysfunction Hypertension, Age ≥75 (doubled), Diabetes, Stroke (doubled)-Vascular disease, Age 65–74, Sex category (female)
CHADS2
: Congestive heart failure, Hypertension, Age ≥75, Diabetes, Stroke (doubled)
CI
: confidence interval
CRAFT
: Controlled Randomized Atrial Fibrillation Trial
CrCl
: creatinine clearance
DAFNE
: Dronedarone Atrial FibrillatioN study after Electrical cardioversion
DIONYSOS
: Randomized Double blind trIal to evaluate efficacy and safety of drOnedarone (400 mg b.i.d.) vs . amiodaroNe (600 mg q.d. for 28 daYS, then 200 mg qd thereafter) for at least 6 mOnths for the maintenance of Sinus rhythm in patients with atrial fibrillation
EAST
: Early treatment of Atrial fibrillation for Stroke prevention Trial
EHRA
: European Heart Rhythm Association
ECG
: electrocardiogram
EMA
: European Medicines Agency
ERATO
: Efficacy and safety of dRonedArone for The cOntrol of ventricular rate during atrial fibrillation
EURIDIS
: EURopean trial In atrial fibrillation or flutter patients receiving Dronedarone for the maIntenance of Sinus rhythm
FAST
: atrial Fibrillation catheter Ablation vs . Surgical ablation Treatment
FDA
: Food and Drug Administration
Flec-SL
: Flecainide Short-Long trial
HAS-BLED
: Hypertension, Abnormal renal/liver function, Stroke, Bleeding history or predisposition, Labile INR, Elderly, Drugs/alcohol concomitantly
HF-PEF
: heart failure with preserved ejection fraction
HF-REF
: heart failure with reduced ejection fraction
HR
: hazard ratio
HRS
: Heart Rhythm Society
ICH
: intracranial haemorrhage
INR
: international normalized ratio
i.v.
: intravenous
J-RHYTHM
: Japanese RHYTHM management trial for atrial fibrillation
LAA
: left atrial appendage
LoE
: level of evidence
LVEF
: left ventricular ejection fraction
MANTRA-PAF
: Medical ANtiarrhythmic Treatment or Radiofrequency Ablation in Paroxysmal Atrial Fibrillation
NICE
: National Institute for Health and Clinical Excellence
NOAC
: novel oral anticoagulant
NSAID
: non-steroidal anti-inflammatory drug
NYHA
: New York Heart Association
OAC
: oral anticoagulant or oral anticoagulation
o.d.
: omni die (every day)
PALLAS
: Permanent Atrial fibriLLAtion outcome Study using dronedarone on top of standard therapy
PCI
: percutaneous coronary intervention
PREVAIL
: Prospective Randomized EVAluation of the LAA closure device In patients with atrial fibrillation v s. Long-term warfarin therapy
PROTECT AF
: WATCHMAN LAA system for embolic PROTECTion in patients with Atrial Fibrillation
PT
: prothrombin time
RAAFT
: Radio frequency Ablation Atrial Fibrillation Trial
RE-LY
: Randomized Evaluation of Long-term anticoagulant therapY with dabigatran etexilate
ROCKET-AF
: Rivaroxaban Once daily oral direct factor Xa inhibition Compared with vitamin K antagonism for prevention of stroke and Embolism Trial in atrial fibrillation
RRR
: relative risk reduction
TE
: thromboembolism
TIA
: transient ischaemic attack
t.i.d.
: ter in die (three times daily)
TOE
: transoesophageal echocardiogram
TTR
: time in therapeutic range
VKA
: vitamin K antagonist
Guidelines summarize and evaluate all currently available evidence on a particular issue with the aim of assisting physicians in selecting the best management strategy for an individual patient suffering from a given condition, taking into account the impact on …
3,272 citations
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TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Abstract: The paradigmatic shift from a Web of manual interactions to a Web of programmatic interactions driven by Web services is creating unprecedented opportunities for the formation of online business-to-business (B2B) collaborations. In particular, the creation of value-added services by composition of existing ones is gaining a significant momentum. Since many available Web services provide overlapping or identical functionality, albeit with different quality of service (QoS), a choice needs to be made to determine which services are to participate in a given composite service. This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service. Two selection approaches are described and compared: one based on local (task-level) selection of services and the other based on global allocation of tasks to services using integer programming.
2,872 citations