Essays on Innovative Activity and the Protection of Innovations

This dissertation looks at three widely accepted assumptions about how the patent system works: patent documents disclose inventions; this disclosure happens quickly, and patent owners are able to enforce patents. The first chapter estimates the effect of stronger trade secret protection on the number of patented innovations. When firms find it easier to protect business information, there is less need for patent protection, and accordingly less need for the disclosure of technical information that is required by patent law. The novel finding is that when it is easier to keep innovations, there is not only a reduction in the number of patents but also a sizeable reduction in disclosed knowledge per patent. The chapter then shows how this endogeneity of the amount of knowledge per patent can affect the measurement of innovation using patent data. The second chapter develops a game-theoretic model to study how the introduction of fee-shifting in US patent litigation would influence firms’ patenting propensities. When the defeated party to a lawsuit has to bear not only their own cost but also the legal expenditure of the winning party, manufacturing firms in the model unambiguously reduce patenting, with small firms affected the most. For fee-shifting to have the same effect as in Europe, the US legal system would require shifting of a much smaller share of fees. Lessons from European patent litigation may, therefore, have only limited applicability in the US case. The third chapter contains a theoretical analysis of the influence of delayed disclosure of patent applications by the patent office. Such a delay is a feature of most patent systems around the world but has so far not attracted analytical scrutiny. This delay may give firms various kinds of strategic (non-)disclosure incentives when they are competing for more than a single innovation.

Patologie tiroidee e surrenaliche del cane e del gatto: aspetti epidemiologici, clinici e clinico-patologici

L’ipertiroidismo felino rappresenta oggi la più comune endocrinopatia della specie. I capitoli 2 e 3 costituiscono una revisione della letteratura in merito agli aspetti clinici, diagnostici e terapeutici della patologia. Il capitolo 4 indaga il ruolo della dimetilarginina simmetrica (SDMA) come marker di funzionalità renale nei gatti ipertiroidei prima e dopo terapia medica. La patologia tiroidea più comune nel cane è l’ipotiroidismo. Nello studio riportato al capitolo 5 sono state indagate le performance diagnostiche di freeT3, freeT4, rT3, 3,3-T2 e 3,5-T2, misurati tramite LC-MS/MS, nel differenziare tra cani ipotiroidei, cani con patologie non-tiroidee e cani sani. La presenza di una possibile correlazione tra la gravità della condizione clinica dei pazienti ipotiroidei, le variabili emato-chimiche e le concentrazioni sieriche di cTSH è stata valutata nel capitolo 6. Il capitolo 7 valuta l’andamento dell’SDMA in cani ipotiroidei prima e dopo supplementazione ormonale. A differenza della Sindrome di Cushing dell’uomo, che è considerata una malattia rara, nel cane l’ipercortisolismo spontaneo (HC) è una delle endocrinopatie più comuni. Gli aspetti epidemiologici dell’HC e la ricerca di un metodo di monitoraggio alternativo al test di stimolazione con ACTH nei cani trattati con Trilostano sono stati approfonditi rispettivamente nei capitoli 8 e 9. A differenza dell'HC, l'ipoadrenocorticismo primario (PH) è una patologia rara nel cane. Lo scopo dello studio riportato nel capitolo 10 consiste nel descrivere le frazioni escretorie degli elettroliti urinari nei cani con PH e di indagare se esse possano rappresentare un utile supporto alla diagnosi e al trattamento del PH canino. Il riscontro accidentale di masse surrenaliche rappresenta una criticità diagnostica. Infatti, può essere difficile distinguere morfologicamente tra lesioni corticali e midollari e tra lesioni maligne e benigne. Nel capitolo 11 vengono descritti i rilievi immunoistochimici dell'incidentaloma surrenalico nel cane e viene valutato il ruolo del Ki-67 PI come indicatore di malignità.

Development and characterization of deep learning techniques for neuroimaging data

Deep learning methods are extremely promising machine learning tools to analyze neuroimaging data. However, their potential use in clinical settings is limited because of the existing challenges of applying these methods to neuroimaging data. In this study, first a data leakage type caused by slice-level data split that is introduced during training and validation of a 2D CNN is surveyed and a quantitative assessment of the model’s performance overestimation is presented. Second, an interpretable, leakage-fee deep learning software written in a python language with a wide range of options has been developed to conduct both classification and regression analysis. The software was applied to the study of mild cognitive impairment (MCI) in patients with small vessel disease (SVD) using multi-parametric MRI data where the cognitive performance of 58 patients measured by five neuropsychological tests is predicted using a multi-input CNN model taking brain image and demographic data. Each of the cognitive test scores was predicted using different MRI-derived features. As MCI due to SVD has been hypothesized to be the effect of white matter damage, DTI-derived features MD and FA produced the best prediction outcome of the TMT-A score which is consistent with the existing literature. In a second study, an interpretable deep learning system aimed at 1) classifying Alzheimer disease and healthy subjects 2) examining the neural correlates of the disease that causes a cognitive decline in AD patients using CNN visualization tools and 3) highlighting the potential of interpretability techniques to capture a biased deep learning model is developed. Structural magnetic resonance imaging (MRI) data of 200 subjects was used by the proposed CNN model which was trained using a transfer learning-based approach producing a balanced accuracy of 71.6%. Brain regions in the frontal and parietal lobe showing the cerebral cortex atrophy were highlighted by the visualization tools.

Quality controls for the Mu2e electromagnetic calorimeter and R&D studies for the muon capture rate determination

According to the SM, while Lepton Flavour Violation is allowed in the neutral sector, Charged Lepton Flavour Violation (CLFV) processes are forbidden. The Mu2e Experiment at Fermilab will search for the CLFV process of neutrinoless conversion of a muon into an electron within the field of an Al nucleus. The Mu2e detectors and its state-of-the-art superconducting magnetic system are presented, with special focus put to the electromagnetic crystal calorimeter. The calorimeter is composed by two annular disks, each one hosting pure CsI crystals read-out by custom silicon photomultipliers (SiPMs). The SiPMs are amplified by custom electronics (FEE) and are glued to copper holders in group of 2 SiPMs and 2 FEE boards thus forming a crystal Readout Unit. These Readout Units are being tested at the Quality Control (QC) Station, whose design, realization and operations are presented in this work. The QC Station allows to determine the gain, the response and the photon detection efficiency of each unit and to evaluate the dependence of these parameters from the supply voltage and temperature. The station is powered by two remotely-controlled power supplies and monitored thanks to a Slow Control system which is also illustrated in this work. In this thesis, we also demonstrated that the calorimeter can perform its own measurement of the Mu2e normalization factor, i.e. the counting of the 1.8 MeV photon line produced in nuclear muon captures. A specific calorimeter sub-system called CAPHRI, composed by four LYSO crystals with SiPM readout, has been designed and tested. We simulated the capability of this system on performing this task showing that it can get a faster and more reliable measurement of the muon capture rates with respect to the current Mu2e detector dedicated to this measurement. The characterization of energy resolution and response uniformity of the four procured LYSO crystals are llustrated.