1,247 research outputs found

    Corporate Derivatives as a Manager-Specific Investment

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    This study examines one manager-specific investment, the use of derivatives, and the corresponding market for corporate control. We find firms with large derivatives positions or increases in their unrealized derivatives gains are associated with a significantly lower likelihood of being the target of an acquisition. We further find firms with greater magnitude of derivatives are associated with weaker boards. Consistent with derivatives being used by managers to protect themselves from disciplinary forces, we find the absolute size of firms’ unrealized derivatives value is negatively associated with firm value. Finally, firms with decreasing (increasing) idiosyncratic risk as well as increasing (decreasing) absolute value of changes in derivatives realized gains and losses, exhibit a decreasing (increasing) likelihood of takeovers. In summary, the findings are consistent with derivatives being an example of a manager-specific investment (Shleifer and Vishny (1989)) that is successful at entrenching management

    Biological and clinical significance of cancer stem cell plasticity

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    In the past decade, the traditional view of cancers as a homogeneous collection of malignant cells is being replaced by a model of ever increasing complexity suggesting that cancers are complex tissues composed of multiple cell types. This complex model of tumorigenesis has been well supported by a growing body of evidence indicating that most cancers including those derived from blood and solid tissues display a hierarchical organization of tumor cells with phenotypic and functional heterogeneity and at the apex of this hierarchy are cells capable of self‐renewal. These “tumor imitating cells” or “cancer stem cells” drive tumorigenesis and contribute to metastasis, treatment resistance and tumor relapse. Although tumor stem cells themselves may display both genetic and phenotypic heterogeneity, recent studies have demonstrated that cancer stem cells maintain plasticity to transition between mesenchymal‐like (EMT) and epithelial‐like (MET) states, which may be regulated by the tumor microenvironment. These stem cell state transitions may play a fundamental role in tumor progression and treatment resistance. In this review, we discuss the emerging knowledge regarding the plasticity of cancer stem cells with an emphasis on the signaling pathways and noncoding RNAs including microRNAs (miRNA) and long non‐coding RNAs (lncRNAs) in regulation of this plasticity during tumor growth and metastasis. Lastly, we point out the importance of targeting both the EMT and MET states of CSCs in order to eliminate these lethal seeds of cancers.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155480/1/ctm2s4016901400323.pd

    JUNO/JIRAM Report jm0002

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    This document describes the activities that JIRAM performed during the activity period JM0002, with particular attention to the comparison with the expected data and that achieved, keeping track of the configuration of the instrument with commanding file (sasf)

    The Craft Academy Robotics Project

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    To begin, the team’s research project consisted of a robot that could compete on a 12-foot by 12-foot playing field alongside 3 other robots. The robot had to fit within an 18in-by-18in limit, it could be made of a variety of materials and motors specified in the game manual to help it achieve the most amount of points possible. There are many ways to earn points in Freight Frenzy divided into 3 sections, Autonomous, Tele-Operation or “Op” for short, and End-Game: In the Autonomous section, the match starts with a 30-second Autonomous Period where Robots are operated only via pre-programmed instructions. Teams are not allowed to control Robot behavior with the Driver Station or any other actions. The Control Hub is placed in a hands-off location during said Autonomous Period so that it is evident that there is no human control of Robots. The robots can obtain points by parking in the Alliance storage unit, parking in the closest to the robot’s alliance, moving freight into the shipping hubs, or alliance specific storage unit, with an additional bonus of using a camera to recognize and move a rubber duck or Team Shipping Element to a randomized part of the shipping hub. During the Tele-Op part, teams can score points by going over or around the PVC barrier to obtain whiffle balls or different weighted plastic cubes and placing them in either the Alliance Shipping Hub or Shared Shipping Hub. Finally, in End-Game, Teams can put the custom capping element on the Alliance Shipping Hub, spin the Carrousel to get up to 10 ducks, or park in a Warehouse.https://scholarworks.moreheadstate.edu/celebration_posters_2022/1043/thumbnail.jp

    Juno Jiram Report jm0242

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    This document describes the activities that JIRAM performed during the activity period JM0242 (orbit 24), with particular attention to the comparison between the expected and returned data, keeping track of the instrument configuration with the commanding file (SASF)

    Juno Jiram Report jm0191

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    This document describes the activities that JIRAM performed during the activity period JM0191 (PJ19), with particular attention to the comparison between expected achieved data, keeping track of the instrument configuration with the commanding file (SASF)

    Juno Jiram Report jm0181

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    This document describes the activities that JIRAM performed during the activity period JM0181 (PJ18), with particular attention to the comparison between expected achieved data, keeping track of the instrument configuration with the commanding file (SASF)

    Juno Jiram Report jm0211

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    This document describes the activities that JIRAM performed during the activity period JM0211 (PJ021), with particular attention to the comparison between the expected and returned data, keeping track of the instrument configuration with the commanding file (SASF)

    Juno Jiram Report jm0231

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    This document describes the activities that JIRAM performed during the activity period JM0231 (PJ023), with particular attention to the comparison between the expected and returned data, keeping track of the instrument configuration with the commanding file (SASF)
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