Entity Identification Problem in Big and Open Data

Big and Open Data provide great opportunities to businesses to enhance their competitive advantages if utilized properly. However, during past few years’ research in Big and Open Data process, we have encountered big challenge in entity identification reconciliation, when trying to establish accurate relationships between entities from different data sources. In this paper, we present our innovative Intelligent Reconciliation Platform and Virtual Graphs solution that addresses this issue. With this solution, we are able to efficiently extract Big and Open Data from heterogeneous source, and integrate them into a common analysable format. Further enhanced with the Virtual Graphs technology, entity identification reconciliation is processed dynamically to produce more accurate result at system runtime. Moreover, we believe that our technology can be applied to a wide diversity of entity identification problems in several domains, e.g., e- Health, cultural heritage, and company identities in financial world.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-

Exploiting Linked Data in Financial Engineering

Part 3: Finance and Service ScienceInternational audienceIn this paper, we report on a recent initiative that exploiting Linked Data for financial data integration. Financial data present high heterogeneity. Linked Data helps to reveal the true data semantics and “hidden” connection, upon which meaningful mappings can be constructed. The work reported in this paper has been well-accepted at several public events and conferences, including the 26th XBRL conference, involving the realisation of the XBRL (eXtensible Business Reporting Language) prototype called HIKAKU, which means “comparison” in Japanese. It demonstrates our approach to exploit the power of Linked Data in enhancing flexibility for data integration in the financial domain

Development of HANABI, an ultrasonication-forced amyloid fibril inducer

Goto Y., Nakajima K., Yamaguchi K., et al. Development of HANABI, an ultrasonication-forced amyloid fibril inducer. Neurochemistry International 153, 105270 (2022); https://doi.org/10.1016/j.neuint.2021.105270.Amyloid fibrils involved in amyloidoses are crystal-like aggregates, which are formed by breaking supersaturation of denatured proteins. Ultrasonication is an efficient method of agitation for breaking supersaturation and thus inducing amyloid fibrils. By combining an ultrasonicator and a microplate reader, we developed the HANABI (HANdai Amyloid Burst Inducer) system that enables high-throughput analysis of amyloid fibril formation. Among high-throughput approaches of amyloid fibril assays, the HANABI system has advantages in accelerating and detecting spontaneous amyloid fibril formation. HANABI is also powerful for amplifying a tiny amount of preformed amyloid fibrils by seeding. Thus, HANABI will contribute to creating therapeutic strategies against amyloidoses by identifying their biomarkers

Entity Identity Reconciliation based Big Data Federation-A MDE approach

“Information is power” is a sentence attributed to Francis Bacon that acquired a high important in the current era of the information. However, too much information can be a negative aspect. The term of “Infoxication” refers to the difficulty a person can have understanding an issue and making decisions that can be caused by the presence of too much information. With the increasing of relevance of open data and big database, the application of mechanisms and solutions to manage information is critical. This paper introduces the problem of unique identification and data reconciliation and offers a discussion about how to solve this problem in big and open data environment. The problem of data reconciliation in multiple databases and the unique identification of entities is not a new problem, but, how effective are classical mechanisms in the new internet environment? In this paper a solution based on model-driven engineering and virtual graph is presented in order to improve the processing of information in big open repositories. The paper illustrates the idea with a real example for the right exploitation of heritage information in the south of Spain

Half-Time Heat Map Reveals Ultrasonic Effects on Morphology and Kinetics of Amyloidogenic Aggregation Reaction

Nakajima K., Toda H., Yamaguchi K., et al. Half-Time Heat Map Reveals Ultrasonic Effects on Morphology and Kinetics of Amyloidogenic Aggregation Reaction. ACS Chemical Neuroscience 12, 3456 (2021); https://doi.org/10.1021/acschemneuro.1c00461.Ultrasonication has been recently adopted in amyloid-fibril assays because of its ability to accelerate fibril formation, being promising in the early stage diagnosis of amyloidoses in clinical applications. Although applications of this technique are expanding in the field of protein science, its effects on the aggregation reactions of amyloidogenic proteins are poorly understood. In this study, we comprehensively investigated the morphology and structure of resultant aggregates, kinetics of fibril formation, and seed-detection sensitivity under ultrasonication using β2-microglobulin and compared these characteristics under shaking, which has been traditionally adopted in amyloid-fibril assays. To discuss the ultrasonic effects on the amyloid-fibril formation, we propose the half-time heat map, which describes the phase diagram of the aggregation reaction of amyloidogenic proteins. The experimental results show that ultrasonication greatly promotes fibril formation, especially in dilute monomer solutions, induces short-dispersed fibrils, and is capable of detecting ultra-trace-concentration seeds with a detection limit of 10 fM. Furthermore, we indicate that ultrasonication highly alters the energy landscape of an aggregation reaction due to the effect of ultrasonic cavitation. These insights contribute not only to our understanding of the effects of agitation on amyloidogenic aggregation reactions but also to their effective application in the clinical diagnosis of amyloidoses

Entity Identity Reconciliation based Big Data Federation A MDE approach

“Information is power” is a sentence attributed to Francis Bacon that acquired a high important in the current era of the information. However, too much information can be a negative aspect. The term of “Infoxication” refers to the difficulty a person can have understanding an issue and making decisions that can be caused by the presence of too much information. With the increasing of relevance of open data and big database, the application of mechanisms and solutions to manage information is critical. This paper introduces the problem of unique identification and data reconciliation and offers a discussion about how to solve this problem in big and open data environment. The problem of data reconciliation in multiple databases and the unique identification of entities is not a new problem, but, how effective are classical mechanisms in the new internet environment? In this paper a solution based on model-driven engineering and virtual graph is presented in order to improve the processing of information in big open repositories. The paper illustrates the idea with a real example for the right exploitation of heritage information in the south of Spain.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-

Patterns of C-reactive protein trends during clozapine titration and the onset of clozapine-induced inflammation: a case series of weekly and daily C-reactive protein monitoring

BackgroundInternational guidelines for clozapine titration recommend measuring C-reactive protein (CRP) weekly for 4 weeks after clozapine initiation to prevent fatal inflammatory adverse events, including myocarditis. However, limited evidence exists regarding whether weekly CRP monitoring can prevent clozapine-induced inflammation.AimsWe examined the relationship between CRP trends and the development of clozapine-induced inflammation. We also explored the usefulness and limitations of CRP monitoring during clozapine titration.MethodThis study presents 17 and 4 cases of weekly and daily CRP monitoring during clozapine initiation, respectively.ResultsAmong 17 patients with weekly CRP measurements, 7 had fever. Elevated CRP levels were detected before the onset of fever in two of the seven patients. Of the five remaining patients, the CRP levels on a previous test had been low; however, the fever developed suddenly. Of the 10 patients with no fever under weekly CRP monitoring, three had elevated CRP levels >3.0 mg/dL. Refraining from increasing the clozapine dose may have prevented fever in these patients. Among four patients with daily CRP measurements, two became febrile. In both cases, CRP levels increased almost simultaneously with the onset of fever.ConclusionWeekly and daily CRP monitoring during clozapine titration is valuable for preventing clozapine-induced inflammation, assessing its severity, and guiding clozapine dose adjustments. Weekly CRP monitoring may not adequately predict clozapine-induced inflammation in some cases. Consequently, clinicians should be aware of the sudden onset of clozapine-induced inflammation, even if CRP levels are low. Daily CRP monitoring is better for detecting clozapine-induced inflammation

Ultrasonication-based rapid amplification of α-synuclein aggregates in cerebrospinal fluid

Kakuda K., Ikenaka K., Araki K., et al. Ultrasonication-based rapid amplification of α-synuclein aggregates in cerebrospinal fluid. Scientific Reports 9, 6001 (2019); https://doi.org/10.1038/s41598-019-42399-0.α-Synuclein aggregates, a key hallmark of the pathogenesis of Parkinson’s disease, can be amplified by using their seeding activity, and the evaluation of the seeding activity of cerebrospinal fluid (CSF) is reportedly useful for diagnosis. However, conventional shaking-based assays are time-consuming procedures, and the clinical significance of the diversity of seeding activity among patients remains to be clarified. Previously, we reported a high-throughput ultrasonication-induced amyloid fibrillation assay. Here, we adapted this assay to amplify and detect α-synuclein aggregates from CSF, and investigated the correlation between seeding activity and clinical indicators. We confirmed that this assay could detect α-synuclein aggregates prepared in vitro and also aggregates released from cultured cells. The seeding activity of CSF correlated with the levels of α-synuclein oligomers measured by an enzyme-linked immunosorbent assay. Moreover, the seeding activity of CSF from patients with Parkinson’s disease was higher than that of control patients. Notably, the lag time of patients with Parkinson’s disease was significantly correlated with the MIBG heart-to-mediastinum ratio. These findings showed that our ultrasonication-based assay can rapidly amplify misfolded α-synuclein and can evaluate the seeding activity of CSF