Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Economics of Information

Models that depict innovation as a smooth, well-behaved linear process badly misspecify the nature and direction of the causal factors at work. Innovation is complex, uncertain, somewhat disorderly, and subject to changes of many sorts. Innovation is also difficult to measure and demands close coordination of adequate technical knowledge and excellent market judgment in order to satisfy economic, technological, and other types of constraints—all simultaneously. The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization.

An Overview of Innovation

In this paper, we use data from the Carnegie Mellon Survey on industrial R&D to evaluate for the U.S. manufacturing sector the influence of ?public?(i.e., university and government R&D lab) research on industrial R&D, the role that public research plays in industrial R&D, and the pathways through which that effect is exercised. We find that public research is critical to industrial R&D in a small number of industries and importantly affects industrial R&D across much of the manufacturing sector. Contrary to the notion that university research largely generates new ideas for industrial R&D projects, the survey responses demonstrate that public research both suggests new R&D projects and contributes to the completion of existing projects in roughly equal measure overall. The results also indicate that the key channels through which university research impacts industrial R&D include published papers and reports, public conferences and meetings, informal information exchange, and consulting. We also finnd that, after controlling for industry, the influence of public research on industrial R&D is disproportionately greater for larger firms as well as start-ups.

https://www.jstor.org/stable/pdfplus/822681.pdf

Links and Impacts: The Influence of Public Research on Industrial R&D

Economics and Information Theory

Proponents of the Bayh-Dole Act argue that industrial use of federally funded research would be reduced without university patent licensing. Our survey of U.S. universities supports this view, emphasizing the embryonic state of most technologies licensed and the need for inventor cooperation in commercialization. Thus, for most university inventions, there is a moral-hazard problem with inventor effort. For such inventions, development does not occur unless the inventor's income is tied to the licensee's output by payments such as royalties or equity. Sponsored research from the licensee cannot by itself solve this problem.

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Proofs and Prototypes for Sale: The Licensing of University Inventions

This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.

Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities

Historically, commercial use of university research has been viewed in terms of spillovers. Recently, there has been a dramatic increase in technology transfer through licensing as universities attempt to appropriate the returns from faculty research. This change has prompted concerns regarding the source of this growth-specifically, whether it suggests a change in the nature of university research. We develop an intermediate input model to examine the extent to which the growth in licensing is due to the productivity of observable inputs or driven by a change in the propensity of faculty and administrators to engage in commercializing university research. We model licensing as a three-stage process, each involving multiple inputs. Nonparametric programming techniques are applied to survey data from 64 universities to calculate total factor productivity (TFP) growth in each stage. To examine the sources of TFP growth, the productivity analysis is augmented by survey evidence from businesses who license-in university inventions. Results suggest that increased licensing is due primarily to an increased willingness of faculty and administrators to license and increased business reliance on external R&D rather than a shift in faculty research.

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Who Is Selling the Ivory Tower? Sources of Growth in University Licensing

Bilateral trade flows are used to examine the Linder hypothesis and the effect of exchange-rate variability in a gra vity-type trade model derived from an underlying demand and supply mo del A behavioral model is used to justify examining these issues joi ntly The model performs well empirically using a sample of seventeen countries for the period 1974-82 The authors find overwhelming supp ort for the Linder hypothesis and this version of the gravity model Moreover, they find strong support for the hypothesis that increased exchange-rate variability affects bilateral trade flows Copyright 1987 by MIT Press

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Bilateral trade flows, the linder hypothesis, and exchange risk

COVID-19 has not affected all scientists equally. A survey of principal investigators indicates that female scientists, those in the ‘bench sciences’ and, especially, scientists with young children experienced a substantial decline in time devoted to research. This could have important short- and longer-term effects on their careers, which institution leaders and funders need to address carefully.

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Marie Thursby

Papers

Proofs and Prototypes for Sale: The Licensing of University Inventions

Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities

Who Is Selling the Ivory Tower? Sources of Growth in University Licensing

Bilateral trade flows, the linder hypothesis, and exchange risk

Unequal effects of the COVID-19 pandemic on scientists.