Intellectual Property Challenges in Replicating an American Graduate Program in Poland Experiences, Perspectives, and Lessons Learned

The article delineates some of the challenges in implementing of one of the global trends among universities - increased cooperation and collaboration to create and transfer intellectual property. Universities all over the world are increasing cooperation and collaboration in different fields. In addition to the traditional student and faculty exchanges, more and more universities are exploring deeper collaborations ranging from replication of degree programs to creation of dual degree programs. The article presents a case study of an extended collaboration to replicate a program founded by the University of Texas at Austin at the University of Lodz in Lodz, Poland. The transferred program is the year long executive MS in Science and Technology Commercialization (MSSTC) Program which focuses on wealth creation associated with intellectual property by transforming ideas based on science and technology into new products, new services, and new ventures to create jobs. The MSSTC program was transferred successfully from the University of Texas at Austin to the University of Lodz in Poland. However, one of the most significant challenges associated with the program replication across countries and cultures is how to best address a program’s intellectual property issues. This paper examines some of the intellectual property issues involved in transferring the MSSTC program like from a US to a Polish university. Some of the lessons learned re: intellectual property are delineated, examined, explored, and recommendations offered.Globalne trendy i międzynarodowy charakter komercjalizacji technologii sprawia, że pojawiły się globalne trendy do zacieśnienia współpracy pomiędzy uczelniami. Uniwersytety Trzeciego wieku oprócz misji edukacyjnej i naukowej włączają się w nurt przedsiębiorczości nazwanej akademickiej, współpracy z przemysłem i instytucjami rządowymi. Artykuł zwraca uwagę na istotną rolę transferu własności intelektualnej zawartej w programach edukacyjnych, szkoleniowych wymiany kadry i studentów. Współpraca rodzi wartość dodaną jako uzyskują uczelnie w postaci wspólnych programów lub transferu wiedzy z jednej uczelni do drugiej. Prezentowany artykuł zawiera również studium przypadku oparte na współpracy dwóch uczelni amerykańskiej i polskiej oraz transferze programu magisterskiego Komercjalizacji Nauki i Technologii z Austin do Łodzi. Udostępnienie wiedzy i najlepszych praktyk Instytutu IC2 w Austin obejmowało wyzwania związane z prawidłowym transferem własności intelektualnej wielu podmiotów jak wykładowców, uczelni, instytutu, doradców oraz innych osób pracujących przez wiele lat przy tworzeniu najlepszego w USA programu magisterskiego do zarządzania technologią. Autorzy zebrali najbardziej istotne problemy występujące podczas ich pracy w programie i przedstawili je w rozdziale Intellectual Property Challenges in Replicating an American Graduate Program in Poland Experiences, Perspectives, and Lessons Learned AbstractDruk materiałów sfinansowano ze środków Ministerstwa Nauki i Szkolnictwa Wyższego w ramach projektu „Kreator innowacyjności – wsparcie innowacyjnej przedsiębiorczości akademickiej”

Optimized Acoustic Sensing for Fixed-Wing Uncrewed Aerial Vehicles

Acoustic sensors are devices that are not commonly used on autonomous uncrewed aerial vehicles (UAV). Obtaining a usable signal-to-noise ratio (SNR) is challenging. Given the most problematic noise is the flight-induced wind noise, one way of approaching the problem is to stop the wind noise at the source by designing a mount for the acoustic sensors to reduce the wind component before the signal and noise enter the microphone. Subsequently, signal processing stages can be added to improve the SNR further. We begin by formulating an atmospheric attenuation model using both point and line acoustic sources. The model predicts the frequency spectrum and how it reacts to changes in atmospheric conditions. This model is used to predict the SNR over the frequency range of interest as measured at the UAV for various wind speeds for a given acoustic source sound pressure level (SPL) as well as predict the SNR as a function of distance. Multiple fixed-wing UAV mounting strategies are then developed based on the predicted airflow during flight with each analyzed with respect to SNR. Based on predicted SNRs, various signal processing algorithms are evaluated for their improvement of detection statistics. Finally, the SNR of the processed signal is evaluated for usability. Particular instantiations of the acoustic sensing wing mounts are evaluated in the lab using a wind tunnel as well as in some physical UAV test flights. Data collected from these flights is processed offline using different signal processing approaches. Based on the model predictions and the results of the limited field measurements, conclusions regarding the feasibility of acoustic sensing on a UAV are discussed

Smartphones and Face-to-Face Interactions: Extending Goffman to 21st Century Conversation

The Smartphone is a technological innovation that has transformed for the better how billions of people live by enabling them to transcend time and space to remain socially connected to potentially millions of others despite being thousands of miles apart. Although smartphones help people connect from a distance, there has been much concern about how they affect face-to-face interactions. This study explored, drawing on Goffmanian concepts, how and why smartphones affect face-to-face encounters. The findings show there are three types of smartphone cross-talk: exclusive, semi-exclusive, and collaborative. With the addition of smartphone play and solo smartphone activity, interactants can engage in five different types of smartphone use during a social encounter. Smartphones can both disrupt and facilitate face-to-face encounters at any given time. A theory of cross-talk was created as an extension of Goffman’s work to help explain the phenomenon

Regime Switching in Cointegrated Time Series

Volatile commodities and markets can often be difficult to model and forecast given significant breaks in trends through time. To account such breaks, regime switching methods allow for models to accommodate abrupt changes in behavior of the data. However, the difficulty often arises in beginning the process of choosing a model and its associated parameters with which to represent the data and the objects of interest. To improve model selection for these volatile markets, this research examines time series with regime switching components and argues that a synthesis of vector error correction models with regime switching models with ameliorate financial modeling. Using futures prices from dairy markets as the chief data of interest, it will be shown that the traditional methods applied to these kind of series are not consistent and the need for a synthesis of models is needed

Virtual Worlds: Social Interactions Among Online Gamers Through Voice Chat

Online gaming scholarship has rarely focused on the micro sociological aspects of virtual worlds as much of the research on online games is undertaken by psychologists and scholars in other fields. When a sociological lens is employed in analyzing social interactions that occur in virtual worlds, new understandings of social phenomena in virtual worlds can come to light. My research draws upon multiple sociological theories to make sense of data collect via in-depth interviews and participant observations in an attempt to understand how voice chat influences relationship formation and maintenance, gender relations among online gamers, and how online gamers use the label noob to regulate gamer masculinity in virtual worlds. Findings indicate the voice chat has a both a positive and negative impact on the social interactions of online gamers

The Pattern Cache: A Mechanism to Reduce Power Consumption in Out of Order Processors by Removing Duplicated Efforts

Out-of-order engines are the basis for nearly every high performance general purpose processor today due to their ability to mask the penalties associated with long latency operations. Unfortunately, these benefits come at a cost of a substantial amount of power consuming hardware. In addition, the prevalence of loops in code means that this hardware often duplicates its efforts, rescheduling the same sequence thousands of times within a typical program. While each iteration of the loop is not identical due to branches and variable length operations, for the SPEC2017 benchmarks tested, the most common dynamically scheduled instruction pattern takes up anywhere from 43% to 88% of the reorderings, and the four most common patterns accounting for anywhere from 70% to 98%. To eliminate some of the duplicated work in finding the same dynamic schedule, the execution patterns that the out-of-order engine creates can be recorded in a cache that indexes patterns based on the branch that immediately precedes that pattern. If the same pattern is seen enough times, then much of the dynamic scheduling hardware can be power off and the previously determined schedule can be used. This powered off hardware includes the common data bus that broadcasts output registers written in a particular cycle to every reservations station. Instead, the system can replay instructions based on the recorded order. There are many parameters within this system that affect both the amount of time spent in this replay mode and the relative performance of the system. These include the start threshold, stop threshold, length of time to wait on a replayed instruction to be ready, the mechanism for handling squashes, and timeouts, the number of patterns to store for a branch, and the length of history considered. While the general trade-offs of adjusting these parameters is often the same for most benchmarks, the optimum value depends both on the value of the other parameters and the particular set of code being used. With this in mind, the proposed system has been shown to be able to achieve over 40% of the time spent in replay mode with only a 2% reduction in performance relative to a standard out of order processor. While this system has been shown to work well, the goal of reducing power by removing the duplicated efforts means that the pattern cache size must be limited. These limitations include limits to both the length of patterns as well as the number of patterns that can be stored. Limiting the length of pattern to reasonable sizes has almost no affect on the system operation in most cases, but limiting the number of patterns does. For some benchmarks it is still possible to get most of the performance with a pattern cache size on the order of kilobytes (30% utilization with a 1% performance drop in the best case), other benchmarks only have utilization rates at half of their maximum possible values. With this in mind, the proposed system shows promising initial results, but for this system to be an effective power saving tool more work must be done to find ways to limit the size of the pattern cache with smaller reductions in utilization rates

Managing ponds and lakes for aquaculture and fisheries in Missouri : controlling nuisance aquatic vegetation (2014)

Aquatic vegetation can be controlled using cultural, biological and chemical methods. Methods aimed at preventing vegetation problems are often the most successful, but control usually requires a combination of methods, as no single strategy provides satisfactory long-term results. This guide provides a general overview of each control method and discusses implementation strategies to help you make informed decisions about aquatic plant control.Revised 10/14/Web only

Analysis and use of VAS satellite data

A series of interrelated investigations has examined the analysis and use of VAS (VISSR Atmospheric Sounder) satellite data. A case study of VAS-derived mesoscale stability parameters suggested that they would have been a useful supplement to conventional data in the forecasting of thunderstorms on the day of interest. However, the meteorological significance of small or short lived stability features was uncertain. A second investigation examined the roles of first guess and VAS radiometric data in producing sounding retrievals. The radiance data often did not have a decisive influence on the final satellite soundings. Broad-scale patterns of the first guess, radiances, and retrievals frequently were similar, whereas small scale retrieval features, especially in the dew points, were often of uncertain origin

Analysis and use of VAS satellite data

Four interrelated investigations have examined the analysis and use of VAS satellite data. A case study of VAS-derived mesoscale stability parameters suggested that they would have been a useful supplement to conventional data in the forecasting of thunderstorms on the day of interest. A second investigation examined the roles of first guess and VAS radiometric data in producing sounding retrievals. Broad-scale patterns of the first guess, radiances, and retrievals frequently were similar, whereas small-scale retrieval features, especially in the dew points, were often of uncertain origin. Two research tasks considered 6.7 micron middle tropospheric water vapor imagery. The first utilized radiosonde data to examine causes for two areas of warm brightness temperature. Subsidence associated with a translating jet streak was important. The second task involving water vapor imagery investigated simulated imagery created from LAMPS output and a radiative transfer algorithm. Simulated image patterns were found to compare favorably with those actually observed by VAS. Furthermore, the mass/momentum fields from LAMPS were powerful tools for understanding causes for the image configurations

A Case for Simpler GainBifurcation for Real Estate Developers

This Article examines the judicially sanctioned bifurcation of real estate developers’ gain. The Article recognizes that even though some commentators oppose granting favorable tax treatment to capital gains, the law most likely will not change. With that in mind, the Article examines the all-or-nothing approach of characterizing gain from the sale of real estate as either capital gain or ordinary income. The Article rejects the all-or-nothing approach of characterizing income under the current statutory system. Instead, it embraces gain bifurcation in the second-best setting that taxes capital gains and ordinary income differently. Illustrating the policy justification for gain bifurcation and judicially sanctioned bifurcation structures, the Article recommends that lawmakers should more fully embrace gain bifurcation for real estate developers by creating a simple statutory election for bifurcating gain that would enhance equity, accuracy, and transparency of gain bifurcation. Although the Article limits its analysis to real estate developers, the idea of gain bifurcation, once improved in this area, could be a catalyst for exploring bifurcation in other areas