Outline of the work undertaken at the Sacred Animal Necropolis at North Saqqara in 1992. The purpose of the project was to supplement information recorded by previous EES missions to the site and to apply recently dev...
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Outline of the work undertaken at the Sacred Animal Necropolis at North Saqqara in 1992. The purpose of the project was to supplement information recorded by previous EES missions to the site and to apply recently developed analytical methods, particularly metrical analyses. Although the work represents a new study, it is also intended to facilitate the publication of the site currently being undertaken by H. S. Smith.
The development of emotion detection technology has emerged as an efficient possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of s...
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The development of emotion detection technology has emerged as an efficient possibility in the corporate sector due to the nearly limitless uses of this new discipline, particularly with the unceasing propagation of social data. In recent years, the electronic marketplace has witnessed the establishment of various start-up businesses with an almost sole focus on building new commercial and open-source tools and APIs for emotion detection and recognition. Yet, these tools and APIs must be continuously reviewed and evaluated, and their performances should be reported and discussed. There is a lack of research to empirically compare current emotion detection technologies in terms of the results obtained from each model using the same textual dataset. Also, there is a lack of comparative studies that apply benchmark comparisons to social data. This study compares eight technologies: IBM Watson Natural Language Understanding, ParallelDots, Symanto - Ekman, Crystalfeel, Text to Emotion, Senpy, Textprobe, and Natural Language Processing Cloud. The comparison was undertaken using two different datasets. The emotions from the chosen datasets were then derived using the incorporated APIs. The perfor-mance of these APIs was assessed using the aggregated scores they delivered and the theoretically proven evaluation metrics such as the micro-average of accuracy, classification error, precision, recall, and f1-score. Lastly, the assessment of these APIs incorporating the evaluation measures is reported and discussed.
The Substitutable Medical Apps and Reusable Technology (SMART) Health IT project launched in 2010 to facilitate the development of medical apps that are scalable and substitutable. SMART defines an open application pr...
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The Substitutable Medical Apps and Reusable Technology (SMART) Health IT project launched in 2010 to facilitate the development of medical apps that are scalable and substitutable. SMART defines an open applicationprogramming interface (API) specification that enables apps to connect to electronic health record systems and data warehouses without custom integration efforts. The SMART-enabled version of the Meducation app, developed by Polyglot, has been implemented at scores of hospitals and clinics in the United States, nation-wide. After expanding their product's reach by relying on a universal, open API for integrations, the team estimates that one project manager can handle up to 20 simultaneous implementations. The app is made available through the SMART App Gallery, an open app store that supports discovery of apps and, because the apps are substitutable, market competition. This case illustrates how a universal open API for patient and clinician-facing health IT systems supported and accelerated commercial success for a start-up company. Giving end users a wide and ever-growing choice of apps that leverage data generated by the health care system and patients at home through a universal, open API is a promising and generalizable approach for rapid diffusion of innovation across health systems.
Whilst there have been claims that the success rate has been near 30 per cent, the realistic success rate is near 3 per cent. Due to the poor success rate, the Chinese petroleum authorities are now likely to consider ...
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Whilst there have been claims that the success rate has been near 30 per cent, the realistic success rate is near 3 per cent. Due to the poor success rate, the Chinese petroleum authorities are now likely to consider all proposals of offshore exploration.
application programming interfaces (APIs) are playing a vital role in every online business. The objective of this study is to analyse the incoming requests to a target API and flag any malicious activity. This paper ...
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application programming interfaces (APIs) are playing a vital role in every online business. The objective of this study is to analyse the incoming requests to a target API and flag any malicious activity. This paper proposes a solution based on sequence models and transformers for the identification of whether an API request has SQL injections, code injections, XSS attacks, operating system (OS) command injections, and other types of malicious injections or not. In this paper, we observe that transformers outperform B-RNNs in detecting malicious activity which is present in API requests. We also propose a novel heuristic procedure that minimises the number of false positives. We observe that the RoBERTa transformer outperforms and gives an accuracy of 100% on our dataset. We observe that the heuristic procedure works well in reducing the number of false positives when a large number of false positives exist in the predictions of the models.
Wilhelm Halbfass has examined some references in Hindu and Jain writings to the Thags and the samsaramocaka, who supposedly advocated killing for reasons of religious compassion. The narrative description of the Thag...
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Wilhelm Halbfass has examined some references in Hindu and Jain writings to the Thags and the samsaramocaka, who supposedly advocated killing for reasons of religious compassion. The narrative description of the Thags by Hemacandra Maladharin and to references to the Samsaramocaka are discussed.
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