34 research outputs found

    Land Law, Property Ideologies and the British-Irish relationship

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    English and Irish land law are deeply influenced by the historical context of the British-Irish relationship, yet property scholarship comparing the two jurisdictions is surprisingly rare. The current Brexit negotiations provide a timely reminder of the strategic importance of property and trade relations between the two countries; and of their related-but-different legal cultures. In this article we examine how the property cultures of England and Ireland were shaped by the politics and practices of land tenure, by competing economic and property ideologies, and by the influence of both on national identity and statehood in both jurisdictions. The article reveals the role of local contexts and events in shaping land reform, and demonstrates the fertile potential of the comparative frame to contextualise each jurisdiction’s doctrines and practices. As domestic land law systems are drawn together in the context of emerging EU jurisdiction over areas like mortgage credit, each jurisdiction’s underpinning ideological commitments have important implications for the ease – or not – of attempts to harmonize member state practices. We explain the alignments and divergences between domestic underpinnings of Irish and English law, and reflect on the implications of our findings for contemporary property problems in the context of evolving economic and political relationships between the UK and Ireland

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    Not AvailableCOVID-19 is the deadliest pandemic, with over 18.2 million people infected with the SARS-CoV-2 virus by August 2, 2021 resulting in human deaths and economic losses. A number of countries have formulated control measures in order to prevent the spread of the virus. However, it is unknown when the outbreak will subside in different countries around the world. The role of predicting the COVID-19 trend is extremely difficult. Indian government has made disease outbreak analysis a priority in order to implement necessary healthcare measures to reduce the impact of this deadly pandemic on human health and country’s economics. The time series data for COVID-19 disease was collected from the website www.covid19india.org and were analyzed using a periodic regression model using the data from 22nd Janaury March 2020 to 01st Febraury 2021 the estimated number of cases until 27 July, 2021 was predicted to develop a stochastic model using periodic regression and were documented in top 10 highly infected states in India. The analysis revealed a increasing pattern for the number of reporting cases in the early days of prediction and decreasing trend for the number of reporting cases in the later days of prediction, which could decrease in future days in Karnataka, West Bengal, Uttar Pradesh, Telangana, Bihar and Haryana states. However, in Madhya Pradesh, Andhra Pradesh, Maharashtra and Tamil Nadu states showed a rapid phase of rise in disease incidence, which is likely to infect a larger population and suggests the disease's pandemic existence over a duration. Our model emphasizes the importance of ongoing and continuous efforts that are in place in all states to minimize occurrence of new cases of infections, so as to potentially improving India's economic wealth with the available resourcesNot Availabl

    Out of AGRA: The Green Revolution returns to Africa

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    The global food crisis and philanthropy capitalism have provided foundations and multilateral institutions an opportunity to relaunch the Green Revolution in Africa. While the Alliance for a Green Revolution in Africa (AGRA) maintains the Green Revolution focus on genetic improvement, new technological variations have been added, including a focus on genetic engineering. Eric Holt-Giménez argues that AGRA reflects a structural shift from state-led development strategies to market-led approaches for the Green Revolution. Although AGRA may revive the Green Revolution, a market-led approach based on genetic engineering is unlikely to solve the problem of hunger in Africa. Informed public debate is needed to consider other proven African alternatives that may hold more promise for rebuilding African agriculture. Development (2008) 51, 464–471. doi:10.1057/dev.2008.49

    Mechanism of MEK inhibition determines efficacy in mutant KRAS- versus BRAF-driven cancers

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    KRAS and BRAF activating mutations drive tumorigenesis through constitutive activation of the MAPK pathway. As these tumours represent an area of high unmet medical need, multiple allosteric MEK inhibitors, which inhibit MAPK signalling in both genotypes, are being tested in clinical trials. Impressive single-agent activity in BRAF-mutant melanoma has been observed; however, efficacy has been far less robust in KRAS-mutant disease. Here we show that, owing to distinct mechanisms regulating MEK activation in KRAS- versus BRAF-driven tumours, different mechanisms of inhibition are required for optimal antitumour activity in each genotype. Structural and functional analysis illustrates that MEK inhibitors with superior efficacy in KRAS-driven tumours (GDC-0623 and G-573, the former currently in phase I clinical trials) form a strong hydrogen-bond interaction with S212 in MEK that is critical for blocking MEK feedback phosphorylation by wild-type RAF. Conversely, potent inhibition of active, phosphorylated MEK is required for strong inhibition of the MAPK pathway in BRAF-mutant tumours, resulting in superior efficacy in this genotype with GDC-0973 (also known as cobimetinib), a MEK inhibitor currently in phase III clinical trials. Our study highlights that differences in the activation state of MEK in KRAS-mutant tumours versus BRAF-mutant tumours can be exploited through the design of inhibitors that uniquely target these distinct activation states of MEK. These inhibitors are currently being evaluated in clinical trials to determine whether improvements in therapeutic index within KRAS versus BRAF preclinical models translate to improved clinical responses in patients. 2013 Macmillan Publishers Limited. All rights reserve
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