information management systems
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F1000Research ◽  
2022 ◽  
Vol 11 ◽  
pp. 12
Author(s):  
Franco Röckel ◽  
Toni Schreiber ◽  
Danuta Schüler ◽  
Ulrike Braun ◽  
Ina Krukenberg ◽  
...  

With the ongoing cost decrease of genotyping and sequencing technologies, accurate and fast phenotyping remains the bottleneck in the utilizing of plant genetic resources for breeding and breeding research. Although cost-efficient high-throughput phenotyping platforms are emerging for specific traits and/or species, manual phenotyping is still widely used and is a time- and money-consuming step. Approaches that improve data recording, processing or handling are pivotal steps towards the efficient use of genetic resources and are demanded by the research community. Therefore, we developed PhenoApp, an open-source Android app for tablets and smartphones to facilitate the digital recording of phenotypical data in the field and in greenhouses. It is a versatile tool that offers the possibility to fully customize the descriptors/scales for any possible scenario, also in accordance with international information standards such as MIAPPE (Minimum Information About a Plant Phenotyping Experiment) and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. Furthermore, PhenoApp enables the use of pre-integrated ready-to-use BBCH (Biologische Bundesanstalt für Land- und Forstwirtschaft, Bundessortenamt und CHemische Industrie) scales for apple, cereals, grapevine, maize, potato, rapeseed and rice. Additional BBCH scales can easily be added. The simple and adaptable structure of input and output files enables an easy data handling by either spreadsheet software or even the integration in the workflow of laboratory information management systems (LIMS). PhenoApp is therefore a decisive contribution to increase efficiency of digital data acquisition in genebank management but also contributes to breeding and breeding research by accelerating the labour intensive and time-consuming acquisition of phenotyping data.


Author(s):  
Megha Chhaochharia

This paper deals with the developments in green finance in India as well as globally. Variety of data sources have been used to assess both the extent of public awareness and financing options for green projects. The findings conclude that while there have been improvements in the public awareness and financing options in India, a reduction in asymmetric information through better information management systems and increased coordination amongst stakeholders could pave a way towards a greener and sustainable long term economic growth.


2021 ◽  
Author(s):  
Alejandro Figar Gutierrez ◽  
Jorge Anibal Martinez Garbino ◽  
Valeria Burgos ◽  
Taimoore Rajah ◽  
Marcelo Risk ◽  
...  

Healthcare has become one of the most important emerging application areas of blockchain technology.[1] Although the use of a cryptographic ledger within Anesthesia Information Management Systems (AIMS) remains uncertain. The need for a truly immutable anesthesia record is yet to be established, given that the current AIMS database systems have reliable audit capabilities. Adoption of AIMS has followed Roger's 1962 formulation of the theory of diffusion of innovation. Between 2018 and 2020, adoption was expected to be the 84% of U.S. academic anesthesiology departments.[2] Larger anesthesiology groups with large caseloads, urban settings, and government affiliated or academic institutions are more likely to adopt and implement AIMS solutions, due to the substantial amount of financial resources and dedicated staff to support both the implementation and maintenance that are required. As health care dollars become more scarce, this is the most frequently cited constraint in the adoption and implementation of AIMS.[3] We propose the use of a blockchain database for saving all incoming data from multiparametric monitors at the operating theatre. We present a proof of concept of the use of this technology for electronic anesthesia records even in the absence of an AIMS at site. In this paper we shall discuss its plausibility as well as its feasibility. The Electronic medical records (EMR) in AIMS might contain errors and artifacts that may (or may not) have to be dealt with. Making them immutable is a scary concept. The use of the blockchain for saving raw data directly from medical monitoring equipment and devices in the operating theatre has to be further investigated.


2021 ◽  
Vol 11 (24) ◽  
pp. 11825
Author(s):  
Soo-Jeong Ko ◽  
Wona Choi ◽  
Ki-Hoon Kim ◽  
Seo-Joon Lee ◽  
Haesook Min ◽  
...  

The importance of clinical information related to specimens is increasing due to the research on human biological specifications being conducted worldwide. In order to utilize data, it is necessary to define the range of data and develop a standardized system for collected resources. The purpose of this study is to establish clinical information standardization and to allow clinical information management systems to improve the utilization of biological specifications. The KBN CDM, consisting of 18 tables and 177 variables, was developed. The clinical information codes were mapped in standard terms. The 27 diseases in the group were collected from 17 biobanks, and all disorders not belonging to the group were standardized and loaded. We also developed a system that provides statistical visualization screens and data retrieval tools for data collection. This study developed a unified management system to model KBN CDM that collects standardized data, manages clinical information, and shares the information systematically. Through this system, all participating biobanks can be integrated into one system for integrated management and research.


2021 ◽  
Author(s):  
Erik Lunsgaarde ◽  
Kevin Adams ◽  
Kendra Dupuy ◽  
Adis Dzebo ◽  
Mikkel Funder ◽  
...  

As COP26 approaches, governments are facing calls to increase the ambition of their climate commitments under the Paris Agreement. The mobilization of climate finance will be key to meeting these goals, prompting the need for renewed attention on how to enhance the coordination of existing funds and thus increase their effectiveness, efficiency and equity. The climate finance landscape is fragmented due to the variety of actors involved at different levels. Coordination difficulties emerge in multiple arenas and reflect the diversity of funding sources, implementation channels, and sectors relevant for climate action (Lundsgaarde, Dupuy and Persson, 2018). The Organisation for Economic Cooperation and Development has identified over 90 climate-specific funds. Most of them are multilateral. While bilateral climate finance remains significant, growth in multilateral funding has been the main driver of recent funding increases and remains a focus of international negotiations. Practitioners often highlight organizational resource constraints – such as staffing levels, the continuity of personnel, or the availability of adequate information management systems – as factors limiting coordination. In this brief, we argue that improving climate finance coordination requires considering coordination challenges in a political context where both fund secretariats and external stakeholders play an important role in shaping collaboration prospects. To illustrate this point, we highlight the political nature of global-level coordination challenges between the multilateral Climate Investment Funds (CIF) and Green Climate Fund (GCF), as well as national-level challenges in Kenya and Zambia. Key challenges influencing coordination relate to the governance of climate funds, domestic bureaucratic politics in recipient countries, and the existence of multiple coordination frameworks at the country level.


Computers ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 125
Author(s):  
Vyacheslav Kharchenko ◽  
Oleg Illiashenko ◽  
Vladimir Sklyar

This paper describes a proposed method and technology of safety assessment of projects based on field programmable gate arrays (FPGA). Safety assessment is based on special invariants, e.g., properties which remain unchanged when a specified transformation is applied. A classification and examples of FPGA project invariants are provided. In the paper, two types of invariants are described. The first type of invariants used for such assessment are those which are versatile since they reflect the unchanged properties of FPGA projects, hardware description languages, etc. These invariants can be replenished as experience gained in project implementation accumulates. The second type of invariants is formed based on an analysis of the specifics of a particular FPGA project and reflects the features of the tasks to be solved, the algorithms that are implemented, the hardware FPGA chips used, and the computer-aided design tools, etc. The paper contains a description of the overall conception and particular stages of FPGA projects invariant-based safety assessment. As examples for solving some tasks (using of invariants and defect injections), the paper contains several algorithms written in the VHSIC hardware description language (VHDL). The paper summarizes the results obtained during several years of practical and theoretical research. It can be of practical use for engineers and researchers in the field of quality, reliability, and security of embedded systems, software and information management systems for critical and business applications.


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