We consider directed tree networks with a single source, where there exists a positive probability of a disruptive event at any node. Such networks model security considerations in pipelines as well as in unidirectional digital networks. If a disruptive event occurs at a certain node, that node and its downstream nodes incur economic losses. Users thus have an incentive to invest in upstream locations as well as their own sites to reduce the probability of a disruptive event. The initial model we develop to reduce the expected investment plus disruption costs is a multiplicative model for which closed-form solutions cannot be obtained in general. We overcome this problem with an additive model that we show closely approximates the initial formulation. This model reduces the security problem to a public goods setting where we minimize the total expected cost at each node. The users then need to share these costs in an equitable fashion, which gives rise to a set of cooperative games. For the case where disutilities to all users are identical, the Shapley value can be computed efficiently, along the lines of an Airport Game. We also treat the case where risk reduction and disutility vary across the network. Finally, we prove that the cooperative game is concave in this general case, which guarantees that the core of the game is nonempty and that the Shapley value is an element of the core.
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http://dx.doi.org/10.1111/risa.14234 | DOI Listing |
World J Gastrointest Surg
January 2025
Department of Gastrointestinal Oncology Surgery, The Affiliated Hospital of Qinghai University, The Affiliated Cancer Hospital of Qinghai University, Xining 810000, Qinghai Province, China.
Currently, the use of immune checkpoint inhibitors (ICIs) has shown notable clinical efficacy in treating various malignant tumors, significantly improving patient prognosis. However, while ICIs enhance the body's anti-tumor effects, they can also trigger immune-related adverse events (irAEs), with ICI-associated colitis being one of the more prevalent forms. This condition can disrupt treatment, necessitate drug discontinuation, and adversely affect therapeutic outcomes.
View Article and Find Full Text PDFJ Ginseng Res
January 2025
The Key Laboratory of Cardiovascular and Cerebrovascular Drug Research of Liaoning Province, Jinzhou Medical University, Jinzhou, China.
Background: Vascular endothelial dysfunction (VED) is one of the main pathogenic events in pulmonary arterial hypertension (PAH). Previous studies have demonstrated that the ginsenoside Rg1 (Rg1) can ameliorate PAH, but the mechanism by which Rg1 affects pulmonary VED in hypoxia-induced PAH remains unclear.
Methods: Network pharmacology, molecular docking and other experiments were used to explore the mechanisms by which Rg1 affects PAH.
Front Robot AI
January 2025
IDLab, Ghent University-imec, Ghent, Belgium.
Smart cities deploy various sensors such as microphones and RGB cameras to collect data to improve the safety and comfort of the citizens. As data annotation is expensive, self-supervised methods such as contrastive learning are used to learn audio-visual representations for downstream tasks. Focusing on surveillance data, we investigate two common limitations of audio-visual contrastive learning: false negatives and the minimal sufficient information bottleneck.
View Article and Find Full Text PDFJ Water Resour Plan Manag
June 2024
USEPA, Office of Research and Development, Center for Environmental Solutions and Emergency Response (CESER), 26W Martin Luther King Dr., Cincinnati, OH 45268.
Climate change brings intense hurricanes and storm surges to the US Atlantic coast. These disruptive meteorological events, combined with sea level rise (SLR), inundate coastal areas and adversely impact infrastructure and environmental assets. Thus, storm surge projection and associated risk quantification are needed in coastal adaptation planning and emergency management.
View Article and Find Full Text PDFJ Neurosci
January 2025
Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA.
Humans adjust their movement to changing environments effortlessly via multisensory integration of the effector's state, motor commands, and sensory feedback. It is postulated that frontoparietal (FP) networks are involved in the control of prehension, with dorsomedial (DM) and dorsolateral (DL) regions processing the reach and the grasp, respectively. This study tested (5F, 5M participants) the differential involvement of FP nodes (ventral premotor cortex - PMv, dorsal premotor cortex - PMd, anterior intraparietal sulcus - aIPS, and anterior superior parietal-occipital cortex - aSPOC) in online adjustments of reach-to-grasp coordination to mechanical perturbations that disrupted arm transport.
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