Blockchain storage middleware based on external database

Author(s):  
Zhaoyi Zhang ◽  
Yanru Zhong ◽  
Xiaofan Yu
Keyword(s):  
Author(s):  
Martin Hoppen ◽  
Juergen Rossmann ◽  
Michael Schluse ◽  
Ralf Waspe ◽  
Malte Rast

Using object-oriented databases as the primary data source in VR applications has a variety of advantages, but requires the development of new techniques concerning data modeling, data handling and data transfer from a Virtual Reality system’s point of view. The many advantages are outlined in the first part of this paper. We first introduce versioning and collaboration techniques as our main motivation. These can also be used in the traditional file based approach, but are much more powerful when realized with a database on an object and attribute level. Using an object-oriented approach to data modeling, objects of the real world can be modeled more intuitively by defining appropriate classes with their relevant attributes. Furthermore, databases can function as central communication hubs for consistent multi user interaction. Besides, the use of databases with open interface standards allows to easily cooperate with other applications such as modeling tools and other data generators. The second part of this paper focuses on our approach to seamlessly integrate such databases in Virtual Reality systems. For this we developed an object-oriented internal graph database and linked it to object-oriented external databases for central storage and collaboration. Object classes defined by XML data schemata allow to easily integrate new data models in VR applications at run-time. A fully transparent database layer in the simulation system makes it easy to interchange the external database. We present the basic structure of our simulation graph database, as well as the mechanisms which are used to transparently map data and meta-data from the external database to the simulation database. To show the validity and flexibility of our approach selected applications realized with our simulation system so far e. g. applications based on geoinformation databases such as forest inventory systems and city models, applications in the field of distributed control and simulation of assembly lines or database-driven virtual testbeds applications for automatic map generation in planetary landing missions are introduced.


Author(s):  
Hartmut Foerster ◽  
James N D Battey ◽  
Nicolas Sierro ◽  
Nikolai V Ivanov ◽  
Lukas A Mueller

Abstract Manually curated metabolic databases residing at the Sol Genomics Network comprise two taxon-specific databases for the Solanaceae family, i.e. SolanaCyc and the genus Nicotiana, i.e. NicotianaCyc as well as six species-specific databases for Nicotiana tabacum TN90, N. tabacum K326, Nicotiana benthamiana, N. sylvestris, N. tomentosiformis and N. attenuata. New pathways were created through the extraction, examination and verification of related data from the literature and the aid of external database guided by an expert-led curation process. Here we describe the curation progress that has been achieved in these databases since the first release version 1.0 in 2016, the curation flow and the curation process using the example metabolic pathway for cholesterol in plants. The current content of our databases comprises 266 pathways and 36 superpathways in SolanaCyc and 143 pathways plus 21 superpathways in NicotianaCyc, manually curated and validated specifically for the Solanaceae family and Nicotiana genus, respectively. The curated data have been propagated to the respective Nicotiana-specific databases, which resulted in the enrichment and more accurate presentation of their metabolic networks. The quality and coverage in those databases have been compared with related external databases and discussed in terms of literature support and metabolic content.


2020 ◽  
Vol 38 (5_suppl) ◽  
pp. 10-10 ◽  
Author(s):  
Jacob J. Adashek ◽  
Christopher W. Szeto ◽  
Sandeep K. Reddy ◽  
Philippe E. Spiess

10 Background: Targeting actionable genes and using immunotherapy have increased treatment options. We previously reported that some immunoregulatory molecules are found differentially regulated in the presence of certain gene mutations regardless of cancer subtype. Here we validated a subset of these associations in an independent, real-world dataset with distinct clinicopathological characteristics. Methods: Previously, 2740 TCGA patients were identified to have at least one potentially oncogenic mutation (mt) within an established 50-gene hotspot panel. Differential expression of 10 immunoregulatory molecules (IRM) was analyzed between mutant (mt) vs. wild-type (wt). To ensure observed significant associations were not confounded by tumor-type, differential IRM expression within mt-enriched tumor-types was compared to that of mt vs. wt. Now, using the NantHealth external database of 2739 unselected clinical cases these associations were validated. Results: Within the TCGA cohort 19/50 gene mutations were found to be significantly associated with ≥1 IRM expression. In many, the mt effect-size was larger than that of tumor-type; e.g. head & neck carcinomas (HNSCC) are highly enriched for CDKN2A mt (OR = 4.9, p = 4.3e-9), yet CDKN2A mt are more associated with CTLA4 expression than HNSCC histology (t = 7.0 vs. 5.4). Of these 15 associations, 6 were validated within the independent later-stage NantHealth cohort. Most notably, CDKN2A mt was validated as associated with increased PD1 and CTLA4 expression while KRAS and APC mt were validated as associated with decreased PDL1/2 expression. Conclusions: The presented differential checkpoint expression patterns are strongly associated with mutation status and are not primarily driven by tissue-type, which have been further validated by an external database. Strategies combining genomic targets have been shown to yield success as well as using immunotherapies. Our data suggests there may be a role for combining NGS targets along with IRM expression patterns to better guide future design of clinical trials in combatting various cancers in a tissue-agnostic fashion.


2019 ◽  
Vol 164 ◽  
pp. 105685 ◽  
Author(s):  
Charlotte A. Huber ◽  
Valentin Pflüger ◽  
Sarah Reed ◽  
Kyra Cottrell ◽  
Hanna E. Sidjabat ◽  
...  

2019 ◽  
Vol 1 (1) ◽  
pp. 73-81
Author(s):  
Muhammad Bunyamin ◽  
Ahmad Syazili

Universitas Bina Darma Palembang merupakan salah satu Perguruan Tinggi Swasta yang memiliki banyak fakultas dan program studi. Untuk mengelola data akademik seperti penjadwalan, matakuliah, krs dan khs Universitas Bina Darma suda menggunakan Sistem Informasi Akademik yang sudah terintegrasi. Untuk mendukung proses belajar mengajar Universitas Bina Darma juga telah menggunakan Learning Management System (LMS) berbasis Moodle. Selama ini proses pengiriman data user, kelas, dan peserta kelas dilakukan dengan membuat program transfer data yang akan mentransfer data dari SIA ke Moodle. Permasalahan yang timbul adalah pertama jika ada perubahan data user seperti password dan lain sebagainya pada pertengahan semester  maka tidak bisa secara otomatis mensikron dari SIA ke Moodle, sama halnya dengan perubahan data pengajar atau peserta kelas pada pertengahan semester harus dilakukan secara manual pada moodle, kedua riwayat peserta kelas dan pengajarnyapun terhapus setiap semester, karena program tersebut mengosongkan data kelas dan pesertanya setiap semester, hal ini menyebabkan dosen harus membackup dan mengupload ulang materi dan tugas nya setiap semester. Mengatasi hal tersebut dengan metode action research  penulis membuat penelitian “External Database Sebagai Media Integrasi Sistem Informasi Akademik dengan Elaerning” sebagai solusinya. Penggunaan fitur External Database mengintegrasikan SIA dengan Moodle secara realtime, dan juga bisa mempertahankan riwayat mengajar dosen dan peserta kelas


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