The Patent Spiral

Examination — the process of reviewing a patent application and deciding whether to grant the requested patent — improves patent quality in two ways. It acts as a substantive screen, filtering out meritless applications and improving meritorious ones. It also acts as a costly screen, discouraging applicants from seeking low-value patents. Yet despite these dual roles, the patent system has a substantial quality problem: it is both too easy to get a patent (because examiners grant invalid patents that should be filtered out by a substantive screen) and too cheap to do so (because examiners grant low-value nuisance patents that should be filtered out by a costly screen). This Article argues that these flaws in patent screening are both worse and better than has been recognized. The flaws are worse because they are not static, but dynamic, interacting to reinforce each other. This interaction leads to a vicious cycle of more and more patents that should never have been granted. When patents are too easily obtained, that undermines the costly screen, because even a plainly invalid patent has a nuisance value greater than its cost. And when patents are too cheaply obtained, that undermines the substantive screen, because there will be more patent applications, and the examination system cannot scale indefinitely without sacrificing accuracy. The result is a cycle of more and more applications, being screened less and less accurately, to give more and more low-quality patents. And although it is hard to test directly if the quality of patent examination is falling, there is evidence suggesting that this cycle is affecting the patent system. At the same time, these flaws are not as bad as they seem because this cycle may be surprisingly easy to solve. The cycle gives policymakers substantial flexibility in designing patent reforms, because the effect of a reform on one piece of the cycle will propagate to the rest of the cycle. Reformers can concentrate on the easiest places to make reforms (like the litigation system) instead of trying to do the impossible (like eliminating examination errors). Such reforms would not only have local effects, but could help make the entire patent system work better

Should I make or should I buy? Innovation strategies and governance structures in the Italian food sector

This paper analyses the “make or buy” decision of food firms applied to innovation strategy using 389 Italian food firms data from the Unicredit 2007 database. We develop a set of hypothesis from three theoretical perspectives such as transaction cost economics, strategic management and resource-based view. Our paper aims at highlight whether or not different firm’s features can be linked to the decision to make or buy. We found out that these two decisions are positively interlinked. Moreover we also found out that it is difficult to indicate a clear-cut behaviour for the Italian food firms if we refer to making or buying decisions. We discuss these results and use them to bring some interesting outcomes to discuss managerial implications and/or policy interventions in this highly strategic domain

Optimization of electron microscopy for human brains with long-term fixation and fixed-frozen sections.

BackgroundAbnormal connectivity across brain regions underlies many neurological disorders including multiple sclerosis, schizophrenia and autism, possibly due to atypical axonal organization within white matter. Attempts at investigating axonal organization on post-mortem human brains have been hindered by the availability of high-quality, morphologically preserved tissue, particularly for neurodevelopmental disorders such as autism. Brains are generally stored in a fixative for long periods of time (often greater than 10 years) and in many cases, already frozen and sectioned on a microtome for histology and immunohistochemistry. Here we present a method to assess the quality and quantity of axons from long-term fixed and frozen-sectioned human brain samples to demonstrate their use for electron microscopy (EM) measures of axonal ultrastructure.ResultsSix samples were collected from white matter below the superior temporal cortex of three typically developing human brains and prepared for EM analyses. Five samples were stored in fixative for over 10 years, two of which were also flash frozen and sectioned on a freezing microtome, and one additional case was fixed for 3 years and sectioned on a freezing microtome. In all six samples, ultrastructural qualitative and quantitative analyses demonstrate that myelinated axons can be identified and counted on the EM images. Although axon density differed between brains, axonal ultrastructure and density was well preserved and did not differ within cases for fixed and frozen tissue. There was no significant difference between cases in axon myelin sheath thickness (g-ratio) or axon diameter; approximately 70% of axons were in the small (0.25 μm) to medium (0.75 μm) range. Axon diameter and g-ratio were positively correlated, indicating that larger axons may have thinner myelin sheaths.ConclusionThe current study demonstrates that long term formalin fixed and frozen-sectioned human brain tissue can be used for ultrastructural analyses. Axon integrity is well preserved and can be quantified using the methods presented here. The ability to carry out EM on frozen sections allows for investigation of axonal organization in conjunction with other cellular and histological methods, such as immunohistochemistry and stereology, within the same brain and even within the same frozen cut section

Leadership for Transforming High Schools

Explores the unique tasks and challenges faced by education leaders in the face of stricter accountability reforms associated with the federal No Child Left Behind legislation and associated state-level education policy initiatives

Causes and Consequences of Collective Turnover: A Meta-Analytic Review

Given growing interest in collective turnover (i.e., employee turnover at unit and organizational levels), the authors propose an organizing framework for its antecedents and consequences and test it using meta-analysis. Based on analysis of 694 effect sizes drawn from 82 studies, results generally support expected relationships across the 6 categories of collective turnover antecedents, with somewhat stronger and more consistent results for 2 categories: human resource management inducements/investments and job embeddedness signals. Turnover was negatively related to numerous performance outcomes, more strongly so for proximal rather than distal outcomes. Several theoretically grounded moderators help to explain average effect-size heterogeneity for both antecedents and consequences of turnover. Relationships generally did not vary according to turnover type (e.g., total or voluntary), although the relative absence of collective-level involuntary turnover studies is noted and remains an important avenue for future research

Making Out-of-School Time Matter: Evidence for an Action Agenda

Presents findings from a review of literature that identifies and addresses the level of demand for OST services, the effectiveness of the offerings, quality in OST programs, how to encourage participation, and how to build further community capacity

Collective Turnover at the Group, Unit, and Organizational Levels: Evidence, Issues, and Implications

Studies of the causes and consequences of turnover at the group, unit, or organizational level of analysis have proliferated in recent years. Indicative of its importance, turnover rate research spans numerous academic disciplines and their respective journals. This broad interest is fueled by the considerable implications of turnover rates predicting broader measures of organizational effectiveness (productivity, customer outcomes, firm performance) as well as by the related perspective that collective turnover is an important outcome in its own right. The goal of this review is to critically examine and extract meaningful insights from research on the causes and consequences of group, unit, and organizational turnover. The review is organized around five major “considerations,” including (1) measurement and levels of analysis issues, (2) consequences, (3) curvilinear and interaction effects, (4) methodological and conceptual issues, and (5) antecedents. The review concludes with broad directions for future research

Rainwater Capture and Purification System for Rural Tanzania

The project was a rainwater capture and purification system for the Buturi community in rural northwestern Tanzania. Recent research indicates the northwestern communities in Tanzania will suffer greatly under the effects of climate change. Using this demonstrated need as impetus, the project created a long-term solution for water accessibility in a community of 57,000 villagers who currently live in extreme poverty. The team visited the Buturi community from March 24 to April 7, 2018 to install the project in the main village, the Makongoro village. The project installation took place at the Buturi Primary School and Community Center. Workshops with local villagers took place to teach and explain how the system works and what maintenance is required. The rainwater capture and purification system should last for approximately 50 years with regular maintenance

Resolving Structure in Human Brain Organization: Identifying Mesoscale Organization in Weighted Network Representations

Human brain anatomy and function display a combination of modular and hierarchical organization, suggesting the importance of both cohesive structures and variable resolutions in the facilitation of healthy cognitive processes. However, tools to simultaneously probe these features of brain architecture require further development. We propose and apply a set of methods to extract cohesive structures in network representations of brain connectivity using multi-resolution techniques. We employ a combination of soft thresholding, windowed thresholding, and resolution in community detection, that enable us to identify and isolate structures associated with different weights. One such mesoscale structure is bipartivity, which quantifies the extent to which the brain is divided into two partitions with high connectivity between partitions and low connectivity within partitions. A second, complementary mesoscale structure is modularity, which quantifies the extent to which the brain is divided into multiple communities with strong connectivity within each community and weak connectivity between communities. Our methods lead to multi-resolution curves of these network diagnostics over a range of spatial, geometric, and structural scales. For statistical comparison, we contrast our results with those obtained for several benchmark null models. Our work demonstrates that multi-resolution diagnostic curves capture complex organizational profiles in weighted graphs. We apply these methods to the identification of resolution-specific characteristics of healthy weighted graph architecture and altered connectivity profiles in psychiatric disease.Comment: Comments welcom