Explaining how to play real-time strategy games

Real-time strategy games share many aspects with real situations in domains such as battle planning, air traffic control, and emergency response team management which makes them appealing test-beds for Artificial Intelligence (AI) and machine learning. End-user annotations could help to provide supplemental information for learning algorithms, especially when training data is sparse. This paper presents a formative study to uncover how experienced users explain game play in real-time strategy games. We report the results of our analysis of explanations and discuss their characteristics that could support the design of systems for use by experienced real-time strategy game users in specifying or annotating strategy-oriented behavior

YGR198w (YPP1) targets A30P α-synuclein to the vacuole for degradation

Using a genetic screen we discovered that YGR198w (named YPP1), which is an essential Saccharomyces cerevisiae gene of unknown function, suppresses the toxicity of an α-synuclein (α-syn) mutant (A30P) that is associated with early onset Parkinson's disease. Here, we show that YPP1 suppresses lethality of A30P, but not of wild-type α-syn or the A53T mutant. The Ypp1 protein, when overexpressed, drives each of the three α-syns into vesicles that bud off the plasma membrane, but only A30P-containing vesicles traffick to and merge with the vacuole, where A30P is proteolytically degraded. We show that Ypp1p binds to A30P but not the other two α-syns; that YPP1 interacts with genes involved in endocytosis/actin dynamics (SLA1, SLA2, and END3), protein sorting (class E vps), and vesicle-vacuole fusion (MON1 and CCZ1) to dispose of A30P; and that YPP1 also participates in pheromone-triggered receptor-mediated endocytosis. Our data reveal that YPP1 mediates the trafficking of A30P to the vacuole via the endocytic pathway

Materiality in information environments: Objects, spaces, and bodies in three outpatient hemodialysis facilities

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152032/1/asi24277.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/152032/2/asi24277_am.pd

How Experts Explain Strategic Behavior During Real-Time Strategy Games

Real-time strategy games, such as Wargus, are examples of complex learning and planning domains that present unique challenges to AI and machine learning. With the drive to acquire planning knowledge from ever fewer examples, learning and planning in this complex, dynamic environment is challenging. Some headway could be made by providing notations in which an expert can annotate examples to help derive additional knowledge, but describing behavior can be problematic if there is a significant mismatch between the notation and the user's conceptualization of their behavior. We conducted a formative study with expert players of a real-time strategy game to determine the structure of the language used by the experts to describe strategy

Preserving the Knee in the Setting of High Segmental Tibial Bone and Massive Soft-Tissue Loss Using Vascularized Distal Tibial Bone Docking and a Foot Fillet Flap: A Case Report

Case: We discuss our reconstructive approach to avoid an above-knee amputation in a 33-year-old man presenting after lower extremity crush injury. We used a vascularized tibial bone flap and a foot fillet flap to restore length and joint functionality to the residual limb. The patient ambulates with good prosthetic fit on durable heel pad skin and 100° active knee motion. Conclusion: This pairing of intramedullary nail with vascularized bone flap and fillet flap to address soft-tissue coverage and retain limb length is a useful tool in traumatic lower extremity injury management, providing an alternative technique for tibial bone graft stabilization with robust, sensate tissue coverage