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Purpose Electrocardiogram (ECG) is one of the most essential tools for detecting heart problems. Till today most of the ECG records are available in paper form. It can be challenging and time-consuming to manually assess the ECG paper records. Hence, automated diagnosis and analysis are possible if we digitize such paper ECG records. Methods The proposed work aims to convert ECG paper records into a 1-D signal and generate an accurate diagnosis of heart-related problems using deep learning. Camera-captured ECG images or scanned ECG paper records are used for the proposed work. Effective pre-processing techniques are used for the removal of shadow from the images. A deep learning model is used to get a threshold value that separates ECG signal from its background and after applying various image processing techniques threshold ECG image gets converted into digital ECG. These digitized 1-D ECG signals are then passed to another deep learning model for the automated diagnosis of heart diseases into different classes such as ST-segment elevation myocardial infarction (STEMI), Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), and T-wave abnormality. Results The accuracy of deep learning-based binarization is 97%. Further deep learning-based diagnosis approach of such digitized paper ECG records was having an accuracy of 94.4%. Conclusions The digitized ECG signals can be useful to various research organizations because the trends in heart problems can be determined and diagnosed from preserved paper ECG records. This approach can be easily implemented in areas where such expertise is not available. Supplementary Information The online version contains supplementary material available at 10.1007/s40846-021-00632-0.

On 15th December 2020 the Westminster Government published its long-awaited Green Paper on public procurement law, “Transforming Public Procurement”, setting out its vision for the UK’s post-Brexit regime. In a number of Working Papers and articles the author has set out her own vision for a post-Brexit regime, which proposed that new legislation should regulate not mainly to ensure open markets, as with the current EU-based rules, but also to secure other objectives, such as value for money and integrity; and set out seven (related) principles which it was suggested should underpin the reforms, namely: an open contracting approach; a single and uniform regime; significant legislative simplification involving a shift from hard to soft law; use of familiar concepts, rules and terminology where appropriate; a rebalancing of interests away from open market objectives towards value for money, sustainability and reduced procedural costs, and a related shift in regulatory strategy to increase flexibility; more effective and balanced enforcement; and a common framework across UK jurisdictions. The present Working Paper provides an assessment of the Green Paper from the perspective of the key themes and recommendations of these proposals. It is explained that the Green Paper proposals follows the above approach to a very large extent. It proposes bold reforms to make the system more flexible, more streamlined and more transparent, including proposals for refocusing objectives, open contracting, a single and uniform regime, significant simplification, enhanced flexibility, including free access to negotiation and substantial improvements to enforcement. However, this positive view does come with some reservations. In particular, there is inadequate treatment of the important issue of mechanisms for recurring purchase in the form of framework agreements, dynamic purchasing systems and qualification systems. Here the proposals have potential for significantly reducing, rather than increasing, flexibility, contrary to a key aim of the reform, but are not sufficiently clear or justified to provide a basis for meaningful consultation. A second reservation is in the area of remedies. While valuable reforms are proposed to speed up court cases and improve pre-contractual remedies, it seems unlikely that these proposals alone will ensure access to justice for smaller companies; and while the prospect of removing some cases from the courts is raised for the longer term, such a future reform is by no means guaranteed. Finally, it is disappointing that the vision of a single and uniform regime has not been extended beyond the four sets of procurement Regulations that derive from EU law, as there are no convincing reasons not to do this.

This position paper of the Max Planck Institute for Innovation and Competition provides comments on the amendments proposed by the German Ministry of Justice and Consumer Protection in its discussion draft of January 2020 on the modernization and simplification of the German Patent Act. While the Institute generally welcomes the initiative, the paper offers some suggestions aimed at increasing precision in the areas of first, the concept and the implementation of the proportionality test for granting injunctive relief, and, second, the need for enhanced protection of trade secrets in patent disputes. With regard to the proportionality assessment, the Institute suggests that, rather than reducing it to an application of the principle of good faith, the concept of proportionality should be interpreted and applied in light of the ratio legis of patent protection with a view to preventing dysfunctional effects potentially resulting from the exercise of the exclusive right and the associated claim to an injunction. Scenarios involving complex products, non-practicing entities and standard-essential patents are used to illustrate the approach. As regards the weighing and balancing of interests when assessing proportionality, the position paper argues that it is neither desirable nor appropriate to prioritize the interests of the patentee over those of the infringer as a matter of principle. In addition, it is not only the interests of parties to the dispute, but also those of third parties, in particular the public interest, that should be taken into account. With regard to the protection of trade secrets in patent disputes, the position paper refers to certain procedural insufficiencies of the Trade Secrets Act to adequately protect the defendant’s secrecy interests. It also points out a potential loophole in relation to the ‘Dusseldorf proceedings’ that may facilitate ‘fishing expeditions’.

This white paper utilises the observations and comments of a wide range of stakeholders and research about the implementation of the NDIS and its impact on the Australian Disability Services System. It is also informed by international experience and academic literature focused on economic models and policy frameworks that are similar to the NDIS. It has been six years since the commencement of the NDIS and it is now timely to step back and objectively assess what has and has not been achieved, including in terms of the 63 reports published that are relevant to the NDIS. In this context, this white paper is focused on describing a policy and practice framework necessary to realising the objectives of the Australian community in funding the Australian Disability Services System. Among other things, many policy leaders, stakeholders, even service users have taken for granted that market solutions will result in better services and outcomes for people with disability, while also improving the efficiency of supply and value for money for taxpayers.

In February 2020 the EU published its white paper on ‘Artificial Intelligence: A European approach to excellence and trust’. This is likely to form the core of future policy and legislation within the EU and as such will have global impact on standards and norms. In this comment piece we survey the five sections of the white paper and then critically examine three themes, namely, i. regulatory signalling, ii. the risk-based approach, and, iii. the auditing styles. The key takeaway is that the white paper, and the EU’s strategy at large, is ambiguous and lacks vision, which, if unchecked, is likely to have a negative impact on EU competitiveness in the development of AI solutions and services.

Microfluidic paper-based analytical devices (μPADs) are the futuristic microfluidic paper-based analytical diagnostic devices that are utilized to perform the laboratory-based test (ex: water, blood, urine, etc..,) at the user location. Microfluidic paper-based analytical devices (μPADs) are known as a robust analytical platform that can fulfil the stipulations. This analysis aims to offer a detailed assessment of the μPADs that are advanced for the estimation of vital water pH values. The significant challenge for users with the μPAD based diagnostic is that, the user is unable to evaluate the precise outcome of the diagnostic result. Here, the water pH diagnostic test is considered on the μPADs, since water pollutant is a severe environmental hassle that affect thousands of humans and as a result it increases the demand for common water first-class monitoring. The necessity for analytical systems that merge extreme sensibleness, selectivity and accuracy with low cost, portability and consumer friendliness remains as a prominent part. This research work proposes a technique to detect the pH value of the water by acquiring the images of the tested μPADs, extract the shape of the test zone area and perform colourimetric analysis to determine the pH value of the test zone area on scale 0-13. The main advantages of the μPADs are comparatively low cost and accessible abundance, reduce the overall cost of testing, and reduce the number of visits to the research laboratory.

Due to the size and complexity of the NDIS reform, there has been a wealth of commentary and analysis developed by the government, academia and industry groups; sometimes in collaboration. In this document we identify and summarise 84 reports representing grey literature developed up to 2020 and relating to the NDIS, its management and the economic, social and policy milieu in which it operates.