Patent incentives: Returns to patenting and the inducement for research & development (R&D)

The UK has one of the oldest and best regarded intellectual property rights (IPR) regimes in the world. Yet there is little evidence on private returns to patenting for firms operating in the UK, and on the incentive effects of patenting in encouraging R&D investment in patenting firms. Using available data from the UK innovation survey (known as the Community Innovation Survey or CIS) and linked business performance data the report assesses both the additional returns firms achieve by patenting, and the effects on R&D spending. This report tests an economic model built upon the following intuition. The monopoly power conferred by a patent provides a firm a price premium in new product revenue, thus increasing profitability. At the same time this increased profitability also acts as an inducement to increase R&D spending by the firm. Using this idea we try to jointly estimate the extent of the premium and the inducement to R&D. In this way the research builds and extends work in two literature streams, viz. the economic literature on the value of patents and the literature on effect of patents on R&D expenditures

Investigating Retrieval Method Selection with Axiomatic Features

We consider algorithm selection in the context of ad-hoc information retrieval. Given a query and a pair of retrieval methods, we propose a meta-learner that predicts how to combine the methods' relevance scores into an overall relevance score. Inspired by neural models' different properties with regard to IR axioms, these predictions are based on features that quantify axiom-related properties of the query and its top ranked documents. We conduct an evaluation on TREC Web Track data and find that the meta-learner often significantly improves over the individual methods. Finally, we conduct feature and query weight analyses to investigate the meta-learner's behavior

Unusual echocardiographic finding leading to diagnosis of pulmonary sequestration

Pulmonary sequestration is an embryonic mass of non- functioning lung tissue that does not communicate with the tracheobronchial tree and has a reported incidence of 0.15%-6.4% of all the pulmonary malformations. This anomaly is classified as either intralobar or extralobar with the later variety lying outside the normal investment of visceral pleura. The arterial supply is predominantly by an anomalous artery usually arising from either abdominal or thoracic aorta, while the venous drainage occurs commonly via systemic rather than pulmonary veins. Identification of the anomalous arterial supply has therapeutic implication because the majority of infants clinically present large shunt lesions attributed to these channels in early infancy. The diagnosis in such cases is usually established by computed tomography (CT), angiography, magnetic resonance angiography and conventional angiography. This article reports a 28 day old neonate who presented with features of large shunt lesion, in which echocardiography was instrumental in the diagnosis of a large collateral supplying the sequestrated lung.peer-reviewe

Reputation and Competence in Publicly Funded Science: Estimating the Effects on Research Group Productivity..

This paper estimates the "production function" for scientific research publications in the field of biotechnology. It utilizes an exceptionally rich and comprehensive data set pertaining to the universe of research groups that applied to a 1989-1993 research program in biotechnology and bio-instrumentation, sponsored by the Italian National research Council, CNR. A structural model of the resource allocation process in scientific research guides the selection of instruments in the econometric analysis, and controls for selectivity bias effects on estimates based on the performance of funded research units. The average elasticity of research output with respect to the research budget is estimated to be 0.6; but, for a small fraction of groups led by highly prestigious PIs this elasticity approaches 1. These estimates imply, conditional on the distribution of observed productivity, that a more unequal distribution of research funds would increase research output in the short-run. Past research publication performance is found to have an important effect on expect levels of grant funding, and hence on the unit's current productivity in terms of (quality adjusted) publications. The results show that the productivity of aggregate resource expenditures supporting scientific research is critically dependent on the institutional mechanisms and criteria employed in the allocation of such resources.

Attitudes of the Youth towards Entrepreneurs and Entrepreneurship: A Cross-cultural Comparison of India and China

This study argues that social support is an important enabler in entrepreneurial activity in a country or a region. One untested assumption in policy making on entrepreneurship development has been that all regions are equally desirous of entrepreneurial activity and one policy could address issues in all regions. It was argued that societal attitudes towards entrepreneurs and entrepreneurship are important determinants for future entrepreneurial activity. These attitudes would be impacted by the family background of an individual and entrepreneurial development in the region an individual comes from. It was hypothesized that more positive attitude would be seen in (i) people form entrepreneurial backgrounds, and (ii) entrepreneurially more developed regions. These hypotheses were tested on more than 5,000 respondents in India and China. The results for family background’s influence on attitudes found strong support in both India and China. Regional development showed stronger influence on attitude in India than in China. The findings and implications for studying attitudes and policy making are discussed.

An unusual foreign body of esophagus

We report a rare case of an unusually long foreign body (Datun) impacted in the esophagus of a 56 year-old gentleman. He was literate, without any psychiatric illness and had been using “Neem” (Azadirachta indica) stick for cleaning his teeth for the past twenty years. Neem sticks are used for brushing teeth, perhaps one of the earliest and very effective dental care. On closer questioning he revealed his habit of passing the Neem stick into his throat with the aim of cleaning it too while cleaning his teeth. He presented to our emergency early in the morning with this strange long foreign body impacted in his esophagus which was removed successfully using a Jackson’s adult rigid oesophagoscope. We believe this to be the first case of such an unusually long foreign body to be reported in the literature

Sum-of-squares lower bounds for planted clique

Finding cliques in random graphs and the closely related "planted" clique variant, where a clique of size k is planted in a random G(n, 1/2) graph, have been the focus of substantial study in algorithm design. Despite much effort, the best known polynomial-time algorithms only solve the problem for k ~ sqrt(n). In this paper we study the complexity of the planted clique problem under algorithms from the Sum-of-squares hierarchy. We prove the first average case lower bound for this model: for almost all graphs in G(n,1/2), r rounds of the SOS hierarchy cannot find a planted k-clique unless k > n^{1/2r} (up to logarithmic factors). Thus, for any constant number of rounds planted cliques of size n^{o(1)} cannot be found by this powerful class of algorithms. This is shown via an integrability gap for the natural formulation of maximum clique problem on random graphs for SOS and Lasserre hierarchies, which in turn follow from degree lower bounds for the Positivestellensatz proof system. We follow the usual recipe for such proofs. First, we introduce a natural "dual certificate" (also known as a "vector-solution" or "pseudo-expectation") for the given system of polynomial equations representing the problem for every fixed input graph. Then we show that the matrix associated with this dual certificate is PSD (positive semi-definite) with high probability over the choice of the input graph.This requires the use of certain tools. One is the theory of association schemes, and in particular the eigenspaces and eigenvalues of the Johnson scheme. Another is a combinatorial method we develop to compute (via traces) norm bounds for certain random matrices whose entries are highly dependent; we hope this method will be useful elsewhere