ECG calibration signal database construction based on IEC 60601-2-25 using MATLAB

Abstract Aichi prefecture, Japan is predicted to be hit by Mega-earthquake. Aichi Prefectural Association of Midwives has been making efforts to improve disaster preparedness for pregnant women. This project aims to acquire area data of pregnant women for simulated studies of rescue activities. Number of women in census survey areas in Nagoya City was acquired from nationwide data of pregnant women by machine learning (Cascade-Correlation Learning Architecture). Quite high correlation coefficients between actual data and estimation data were observed. Rescue simulations have been carried out based on the data acquired by this study.

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Comprehensive analysis of SSRs and database construction using all complete gene-coding sequences in major horticultural and representative plants

Horticulture Research ◽

10.1038/s41438-021-00562-7 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Xiaoming Song ◽

Qihang Yang ◽

Yun Bai ◽

Ke Gong ◽

Tong Wu ◽

...

Keyword(s):

Higher Plants ◽

Extreme Environments ◽

Gene Families ◽

Comprehensive Analysis ◽

Whole Genome ◽

Flowering Genes ◽

Database Construction ◽

Myb Gene ◽

Gene Coding ◽

Lower Plants

AbstractSimple sequence repeats (SSRs) are one of the most important genetic markers and widely exist in most species. Here, we identified 249,822 SSRs from 3,951,919 genes in 112 plants. Then, we conducted a comprehensive analysis of these SSRs and constructed a plant SSR database (PSSRD). Interestingly, more SSRs were found in lower plants than in higher plants, showing that lower plants needed to adapt to early extreme environments. Four specific enriched functional terms in the lower plant Chlamydomonas reinhardtii were detected when it was compared with seven other higher plants. In addition, Guanylate_cyc existed in more genes of lower plants than of higher plants. In our PSSRD, we constructed an interactive plotting function in the chart interface, and users can easily view the detailed information of SSRs. All SSR information, including sequences, primers, and annotations, can be downloaded from our database. Moreover, we developed Web SSR Finder and Batch SSR Finder tools, which can be easily used for identifying SSRs. Our database was developed using PHP, HTML, JavaScript, and MySQL, which are freely available at http://www.pssrd.info/. We conducted an analysis of the Myb gene families and flowering genes as two applications of the PSSRD. Further analysis indicated that whole-genome duplication and whole-genome triplication played a major role in the expansion of the Myb gene families. These SSR markers in our database will greatly facilitate comparative genomics and functional genomics studies in the future.

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E-Health & Innovation to Overcome Barriers in Neuromuscular Diseases. Report from the 1st eNMD Congress: Nice, France, March 22-23, 2019

Journal of Neuromuscular Diseases ◽

10.3233/jnd-210655 ◽

2021 ◽

pp. 1-12

Author(s):

Jonathan Pini ◽

Gabriele Siciliano ◽

Pauline Lahaut ◽

Serge Braun ◽

Sandrine Segovia-Kueny ◽

...

Keyword(s):

Data Privacy ◽

Neuromuscular Diseases ◽

Disease Assessment ◽

Private Companies ◽

Social Burden ◽

Database Construction ◽

Significant Step ◽

New Perspective ◽

Expert Community

By definition, neuromuscular diseases are rare and fluctuating in terms of symptoms; patients are often lately diagnosed, do not have enough information to understand their condition and be proactive in their management. Usually, insufficient resources or services are available, leading to patients’ social burden. From a medical perspective, the rarity of such diseases leads to the unfamiliarity of the medical staff and caregiver and an absence of consensus in disease assessment, treatment, and management. Innovations have to be developed in response to patients’ and physicians’ unmet needs. It is vital to improve several aspects of patients’ quality of life with a better comprehension of their disease, simplify their management and follow-up, help their caregiver, and reduce the social and economic burden for living with a rare debilitating disease. Database construction regrouping patients’ data and symptoms according to specific country registration on data privacy will be critical in establishing a clear consensus on neuromuscular disease treatment. Clinicians also need technological innovations to help them recognize neuromuscular diseases, find the best therapeutic approach based on medical consensus, and tools to follow patients’ states regularly. Diagnosis also has to be improved by implementing automated systems to analyze a considerable amount of data, representing a significant step forward to accelerate the diagnosis and the patients’ follow up. Further, the development of new tools able to precisely measure specific outcomes reliably is of the matter of importance in clinical trials to assess the efficacy of a newly developed compound. In this context, the creation of an expert community is essential to communicate and share ideas. To this end, 97 clinicians, healthcare professionals, researchers, and representatives of private companies from 9 different countries met to discuss the new perspective and challenges to develop and implement innovative tools in the field of neuromuscular diseases. Keywords:

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Matching Pragmatic Lithic Analysis and Proper Data Architecture

Advances in Archaeological Practice ◽

10.1017/aap.2021.11 ◽

2021 ◽

pp. 1-13

Author(s):

Daniel A. Contreras ◽

Zachary Batist ◽

Ciara Zogheib ◽

Tristan Carter

Keyword(s):

Data Structure ◽

Lithic Analysis ◽

Database Construction ◽

Data Architecture ◽

R Shiny ◽

Database Interface ◽

Archaeological Project ◽

Existing Data

Abstract The documentation and analysis of archaeological lithics must navigate a basic tension between examining and recording data on individual artifacts or on aggregates of artifacts. This poses a challenge both for artifact processing and for database construction. We present here an R Shiny solution that enables lithic analysts to enter data for both individual artifacts and aggregates of artifacts while maintaining a robust yet flexible data structure. This takes the form of a browser-based database interface that uses R to query existing data and transform new data as necessary so that users entering data of varying resolutions still produce data structured around individual artifacts. We demonstrate the function and efficacy of this tool (termed the Queryable Artifact Recording Interface [QuARI]) using the example of the Stelida Naxos Archaeological Project (SNAP), which, focused on a Paleolithic and Mesolithic chert quarry, has necessarily confronted challenges of processing and analyzing large quantities of lithic material.

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