Justifying a privacy guardian in discourse and behaviour : the People’s Republic of China’s strategic framing in data governance

The People’s Republic of China’s (PRC) approach to data governance, centred on data sovereignty, is much debated in academic literature. However, it remains unclear how the PRC’s different state actors justify this approach. Based on an analysis of the discourse and behaviour of the PRC’s state actors through strategic framing theory, their role as a privacy guardian can arguably be described as strategically constructed. The Chinese government and legislative bodies have tailored their communications to present themselves as champions of individual privacy, aiming to secure support for state policies. This strategic framing encompasses four mechanisms: the reframing of privacy threats through political narratives; legal ambiguities; selective framing; and the implementation of censorship to influence public discourse. An examination of how the Chinese government responded differently to data breaches in the cases of Didi and the Shanghai National Police Database leak highlights the Chinese government’s efforts in maintaining framing consistency to construct itself as a guardian, rather than a violator, of individual privacy.Peer reviewe

PhleAid™ : Automated Phlebotomy Assistant

PhleAid\u27s goal is to minimize pre-analytical errors and simplify the phlebotomy process. PhleAid implements a combination of three subsystems: a vial selection, handling, labeling and blood verification system. The selection system chooses the appropriate vial for each test through a graphical input and decision system that utilizes a microprocessor and database. The handling and labeling system minimizes user contact with vials by implementing our designed hardware and stepper motors. Additionally, a barcode scanner is implemented to identify each blood vial. Finally, the blood volume verification system utilizes photodiodes, LEDs and amplifiers to ensure sufficient the blood volume. Overall these subsystems work together to achieve our goal

Elucidation of Emergent Regional Mechanisms of Heart Muscle Dysfunction in the Mouse Model of Duchenne Muscular Dystrophy

Cardiac dysfunction is a primary cause of mortality in Duchenne Muscular Dystrophy (DMD), potentially related to elevated cytosolic calcium. However, the regional versus global functional consequences of cellular calcium mishandling have not been defined in the whole heart. Here, we elucidate, for the first time, loci- and age-dependencies between calcium mishandling and myocardial sheet function as a manifestation of dystrophin-deficient cardiomyopathy. We also map calcium transients to illustrate the regional dependence of ion flux disturbances in the dystrophin-deficient (mdx) mouse heart. Furthermore, we elucidate abnormalities in autophagic processes that can be corrected with nanoparticle therapeutics delivering rapamycin to heart tissues to improve ventricular function in affected older mice with incipient cardiomyopathy. We conclude that the rapid reversibility of functional defects by reducing cytosolic calcium or by impacting impaired autophagy points to the significance of regional mechanical factors in the progression of the disease

Managing Libraries and Information with Technology

The influx of an ever-explosive information in library and information centres, through varied information sources, and in a mixed media format, has drastically changed the patterns of information services and its administration. This paper explores the possible interfaces of library and information science with sophisticated information technology (IT), which helps elicit code, store, to finally disseminate and manage information in various library infrastructures effectively. The conclusion follows the observations entailing from today's IT- Library synergy

ARTIFICIAL INTELLIGENCE (AI) AS SUSTAINABLE SOLUTION FOR THE AGRICULTURE SECTOR: FINDINGS FROM DEVELOPING ECONOMIES

Agricultural production plays an important role both in national and global economies. The efficient and safe methods of sustainable agricultural production is crucial, and the use of information technology is imperative to meet this end. Among the available information technology tools, this study highlights the IT based cognitive solutions supported with the artificial intelligence (AI) algorithm for sustainable solutions in the agriculture sector of developing economies. For this purpose, a systematic review of 87 papers has been conducted in the chosen last 20 years from 2000 to 2019 to identify the major trends, challenges, limitation related to the applicability of AI supported cognitive solutions in the agricultural industry of developing countries. The results derived from the systematic literature review represents some major flaws in the existing technological & cognitive solutions being used for agriculture means in the developing economies, with special emphasis on the lack of advanced AI techniques that are required for development of robust and precise farming methods. This is due the farmers’ inability to use sustainable technological solutions that are limited by the high cost of available technological tools. Moreover, contrary to other disciplines of science, a human expertise is scare and very costly in the agriculture industry. Hence, there is a need to actively introduce the concept of AI in the agriculture sector by making AI more viable and affordable for the farming community in the developing economies. Besides, there is also a need to create a centralized AI model for the agriculture industry which will integrate AI into a single central system for the entire economy that could be used in various enterprises of the agriculture industry.

ARTIFICIAL INTELLIGENCE (AI) AS SUSTAINABLE SOLUTION FOR THE AGRICULTURE SECTOR: FINDINGS FROM DEVELOPING ECONOMIES

Agricultural production plays an important role both in national and global economies. The efficient and safe methods of sustainable agricultural production is crucial, and the use of information technology is imperative to meet this end. Among the available information technology tools, this study highlights the IT based cognitive solutions supported with the artificial intelligence (AI) algorithm for sustainable solutions in the agriculture sector of developing economies. For this purpose, a systematic review of 87 papers has been conducted in the chosen last 20 years from 2000 to 2019 to identify the major trends, challenges, limitation related to the applicability of AI supported cognitive solutions in the agricultural industry of developing countries. The results derived from the systematic literature review represents some major flaws in the existing technological & cognitive solutions being used for agriculture means in the developing economies, with special emphasis on the lack of advanced AI techniques that are required for development of robust and precise farming methods. This is due the farmers’ inability to use sustainable technological solutions that are limited by the high cost of available technological tools. Moreover, contrary to other disciplines of science, a human expertise is scare and very costly in the agriculture industry. Hence, there is a need to actively introduce the concept of AI in the agriculture sector by making AI more viable and affordable for the farming community in the developing economies. Besides, there is also a need to create a centralized AI model for the agriculture industry which will integrate AI into a single central system for the entire economy that could be used in various enterprises of the agriculture industry.

Non-destructive Investigation of “The Violinist” a Lead Sculpture by Pablo Gargallo, Using the Neutron Imaging Facility NEUTRA in the Paul Scherrer Institute

AbstractThe Violinist (1920), the only sculpture made by Gargallo using lead sheet and wood, is being corroded by carbonation, most probably due to the organic vapours released by the wood inside, a material not chemically compatible with lead. Hydrogen plasma has been tested and proved to be an effective treatment meaning that the sculpture has to be dismantled in order to give the plasma gas access to the lead carbonate crusts on the inner surface of the lead sheet. Prior to dismantling, a complete exploration and diagnosis of this lead sculpture has been carried out through neutron imaging at the Paul Scherrer Institute. This non-destructive technique has produced different sets of images including radiography, tomography and 3D reconstruction. Despite the presence of a core made of an organic material such as wood, the digital processing of the images and their in depth visual analysis have yielded new three-dimensional information of inaccessible details of the sculpture, allowing us to assess its present state of conservation and the manufacturing technique and materials used by the artist. The results presented in this article highlight how information from neutron imaging can be of great value when it comes to set the strategies for future conservation treatmen