We consider a general model of the sensorimotor loop of an agent interacting with the world. This formalises Uexküll's notion of a function-circle. Here, we assume a particular causal structure, mechanistically described in terms of Markov kernels. In this generality, we define two σ-algebras of events in the world that describe two respective perspectives: (1) the perspective of an external observer, (2) the intrinsic perspective of the agent. Not all aspects of the world, seen from the external perspective, are accessible to the agent. This is expressed by the fact that the second σ-algebra is a subalgebra of the first one. We propose the smaller one as formalisation of Uexküll's Umwelt concept. We show that, under continuity and compactness assumptions, the global dynamics of the world can be simplified without changing the internal process. This simplification can serve as a minimal world model that the system must have in order to be consistent with the internal process.
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http://dx.doi.org/10.1007/s12064-015-0217-3 | DOI Listing |
Ann Neurosci
October 2024
Department of Psychiatry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed to be University), Wardha, Nagpur, Maharashtra, India.
Background: Earlier researchers have explored the individual impacts of locus of control and self-esteem on academic as well as nonacademic success. But limited attention was given to their interplay within a university context. By integrating these variables into a unified framework, a more comprehensive understanding of the learning processes of university students can be achieved, which can further help in developing strategies to improve the overall learning outcome and come out as successful individuals.
View Article and Find Full Text PDFFront Immunol
January 2025
Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway.
Introduction: CD38, a regulator of intracellular calcium signalling, is highly expressed in immune cells. Mice lacking CD38 are very susceptible to acute bacterial infections, implicating CD38 in innate immune responses. The effects of CD38 inhibition on NLRP3 inflammasome activation in human primary monocytes and monocyte-derived macrophages have not been investigated.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Nephrology, University Hospital Heidelberg, Heidelberg, Germany.
In the face of growing transplant waitlists and aging donors, sound pre-transplant evaluation of organ offers is paramount. However, many transplant centres lack clear criteria on organ acceptance. Often, previous scores for donor characterisation have not been validated for the Eurotransplant population and are not established to support graft acceptance decisions.
View Article and Find Full Text PDFFront Oncol
January 2025
Department of Pathology, Faculty of Medical Sciences, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
Erythropoietin-producing hepatocellular (Eph) receptors comprise the largest group of surface receptors and are responsible for cellular signals. Eph/ephrin signaling has been identified to play a role in key cancer development and progression processes, especially in the upper gastrointestinal tract. The Eph/ephrin system has been described as a tumor suppressor in duodenal cancer, while in esophageal, gastric, hepatic, and pancreatic cancer, the system has been related to tumor progression.
View Article and Find Full Text PDFFront Oncol
January 2025
Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Breast cancer (BC), as a leading cause of cancer mortality in women, demands robust prediction models for early diagnosis and personalized treatment. Artificial Intelligence (AI) and Machine Learning (ML) algorithms offer promising solutions for automated survival prediction, driving this study's systematic review and meta-analysis.
Methods: Three online databases (Web of Science, PubMed, and Scopus) were comprehensively searched (January 2016-August 2023) using key terms ("Breast Cancer", "Survival Prediction", and "Machine Learning") and their synonyms.
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