Patents, mass innovation and the Xiaokang society

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Social Support and Discrimination: The Experiences of Recovering Heroin Addicts in Kunming, China

Opioids have had a long, complex position in Chinese society, dating all the way back to the Ming dynasty. In 1949, 5% of the overall Chinese population and 25% of the population in Yunnan smoked opium regularly, which led to societal collapse and economic downturn. Since then, the Chinese government has used many different methods to attempt to control drug use and trafficking, including registering all users, executing traffickers, and using Compulsory Rehabilitation Centers. Starting in 2008, the government switched to a harm reduction approach and began to invest in methadone clinics, community support groups, and needle exchange programs. Because not much research exists on the effectiveness of peer support in China, this aim of this study was to gain a deeper understanding of the effectiveness of peer support groups and other natural social support systems and also determine Chinese society’s perceptions of drug use and whether this affects the recovery experiences of people who use drug. Nineteen former drug users, sourced from a methadone clinic in Kunming, were interviewed concerning peer support services, their natural support systems, and perceived discrimination. One hundred and twelve responses were also received from an online survey sent out to the Chinese public aimed at understanding the stigma and discrimination against people with drug addictions. From analyzing these responses, this study came to a couple main conclusions. First, peer support groups for those recovering from addiction in Kunming are not widely used and limited in their effectiveness. Instead many participants in this study relied on familial support and distancing themselves from others with drug histories. Furthermore, discrimination and stigma against people with drug addictions are very high and make reentry into society difficult for many. China has come a long way in its handling of its narcotic abuse problem, but there still remain many gaps in social support

3D bioprinting regulations: a UK/EU perspective

This section introduces the challenges 3D bioprinting poses to the existing legal regime across bioethics, safety, regenerative medicine, and tissue engineering. We briefly review the 3D bioprinting technology and look into the relevant regulatory instruments for the pre-printing, printing, and post-printing stages. Special attention is paid to the applications of the EU Advanced Therapy Medicinal Products (ATMP) Regulation and the new Medical Device Regulation (MDR)

Intellectual property for humanity: a manifesto

This chapter considers the challenge posed by Peter Drahos’ work on the ‘duties of privilege’, and provides a normative analysis of an intellectual property (IP) regime by articulating IP duties as a lens for defining the optimal scope of IP monopolies. It builds on a correlative duty-based approach as a parameter to better approximating dignitarian thoughts in IP. A paradigm shift to a balanced framework incorporating the duty approach would reconfigure the imbalance and redress the undesirable consequences of inequality. A duty-based approach is not advocating a dichotomy regime separating rights from duties or replacing rights with duties, but a binary one taking full advantage of the extant IP flexibilities by embedding a sense of belonging, connectedness, honour and respect in a community of IP rights. A duty-based approach will work towards a collaborative humanitarian discourse and serve as a nuanced underpinning to the interface of IP power and competition where impacts will benefit society. Internal and external forces are identified for regulating IP following a comprehensive study on the philosophies of ownership. It concludes by proposing the primary waves of IP duties: a duty to self-moderation; a duty to benefit sharing; a duty to open innovation, and a duty to dissemination

High functional coherence in k-partite protein cliques of protein interaction networks

We introduce a new topological concept called k-partite protein cliques to study protein interaction (PPI) networks. In particular, we examine functional coherence of proteins in k-partite protein cliques. A k-partite protein clique is a k-partite maximal clique comprising two or more nonoverlapping protein subsets between any two of which full interactions are exhibited. In the detection of PPI&rsquo;s k-partite maximal cliques, we propose to transform PPI networks into induced K-partite graphs with proteins as vertices where edges only exist among the graph&rsquo;s partites. Then, we present a k-partite maximal clique mining (MaCMik) algorithm to enumerate k-partite maximal cliques from K-partite graphs. Our MaCMik algorithm is applied to a yeast PPI network. We observe that there does exist interesting and unusually high functional coherence in k-partite protein cliques&mdash;most proteins in k-partite protein cliques, especially those in the same partites, share the same functions. Therefore, the idea of k-partite protein cliques suggests a novel approach to characterizing PPI networks, and may help function prediction for unknown proteins.<br /

Insights into bacterial genome composition through variable target GC content profiling

This study presents a new computational method for guanine (G) and cytosine (C), or GC, content profiling based on the idea of multiple resolution sampling (MRS). The benefit of our new approach over existing techniques follows from its ability to locate significant regions without prior knowledge of the sequence, nor the features being sought. The use of MRS has provided novel insights into bacterial genome composition. Key findings include those that are related to the core composition of bacterial genomes, to the identification of large genomic islands (in Enterobacterial genomes), and to the identification of surface protein determinants in human pathogenic organisms (e.g., Staphylococcus genomes). We observed that bacterial surface binding proteins maintain abnormal GC content, potentially pointing to a viral origin. This study has demonstrated that GC content holds a high informational worth and hints at many underlying evolutionary processes.&nbsp;For online Supplementary Material, see www.liebertonline.com

Regulating Artificial Intelligence and machine learning-enabled medical devices in Europe and the United Kingdom

Recent achievements in respect of Artificial Intelligence (AI) open up opportunities for new tools to assist medical diagnosis and care delivery. However, the typical process for the development of AI is through repeated cycles of learning and implementation, something that poses challenges to our existing system of regulating medical devices. Product developers face tensions between the benefits of continuous improvement/deployment of algorithms and keeping products unchanged. The latter more easily facilitates collecting evidence for safety assurance processes but sacrifices optimisation of performance and adaptation to user needs gained through learning-implementation cycles. The challenge is how to balance potential benefits with the need to assure their safety. Governance and assurance processes are needed that can accommodate real-time or near-real-time machine learning. Such an approach is of great importance in healthcare and other fields of application. AI has stimulated an intense process of learning as this new technology embeds in application contexts. The process is not only about the application of AI in the real world but also about the institutional arrangements for its safe and dependable deployment, including regulatory experimentation involving new market pathways, monitoring and surveillance, and sandbox schemes. We review the key themes, challenges and potential solutions raised at two stakeholder workshops and highlight recent attempts to adapt the laws for AI-enabled medical devices (AIeMD) with a special focus on the regulatory proposals in the UK and internationally. The UK regulatory trajectory shows signs of alignment with the US thinking, and yet the European Union model is still the most closely aligned framework.</p

Revisiting public health emergency in international law: a precautionary approach

This work develops a means to encourage states to take advantage of the flexibilities of compulsory licensing in the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) which promotes access to medicines in a public health emergency. In pursuing this solution, the precautionary approach (PA) and the structure of risk analysis have been adopted as a means to build a workable reading of TRIPS and to help states embody the flexibilities of intellectual property (IP). This work argues for a PA reading of TRIPS and that states have the precautionary entitlements to determine an appropriate level of health protection from the perspective of “State responsibility” in international law. A philosophical review is conducted followed by the examination of existing international legal instruments including the WTO Agreement on the Application of Sanitary and Phytosanitary Measures, the WHO International Health Regulations, the Codex Alimentarius, and the Cartagena Protocol on Biosafety. The PA has been found to have a pervasive influence on risk regulation in international law, yet the application is fraught with fragmentations in different legal regimes. In order to reach a harmonious interpretation and application of the PA in the WTO, the legal status of PAs of different WTO instruments have been analysed. Further, a comparative study on PAs in terms of legal status in the exemptions of the WTO and TRIPS obligations has been proposed. The political and moral basis for compulsory licencing in a public health emergency has been bolstered through the interpretation and the creation of legal status of the PA in WTO/TRIPS law

Critically Appraised Paper for “The effects of a home-based virtual reality rehabilitation program on balance among individuals with Parkinson’s disease”

This study evaluated the effectiveness of a 12-week home-based exercise program using the Nintendo Wii system in its capacity to improve balance and balance confidence and maintain exercise compliance. Balance and balance confidence were measured with the Center of Pressure Length (COPL) and Activities-Specific Balance Confidence Scale (ABC), which were administered before the start of the intervention, 6 weeks into the intervention, and within 1 week postintervention. Although changes in balance and balance confidence scores were found to be nonsignificant, a pattern emerged in which scores for both measures rose between preand postintervention assessments, then fell to nearly baseline levels at postintervention. Changes in adherence to the intervention program over the course of 12 weeks were also found to be nonsignificant, which indicated that user interest in the program was maintained. Despite the nonsignificant changes in balance scores, the study prompts further research into the use of 2 virtual reality modalities in rehabilitation

Intrusion Detection System by Fuzzy Interpolation

Network intrusion detection systems identify malicious connections and thus help protect networks from attacks. Various data-driven approaches have been used in the development of network intrusion detection systems, which usually lead to either very complex systems or poor generalization ability due to the complexity of this challenge. This paper proposes a data-driven network intrusion detection system using fuzzy interpolation in an effort to address the aforementioned limitations. In particular, the developed system equipped with a sparse rule base not only guarantees the online performance of intrusion detection, but also allows the generation of security alerts from situations which are not directly covered by the existing knowledge base. The proposed system has been applied to a well-known data set for system validation and evaluation with competitive results generated