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  1. Synergistic induction of mitotic pyroptosis and tumor remission by inhibiting proteasome and WEE family kinases

    Mitotic catastrophe (MC), which occurs under dysregulated mitosis, represents a fascinating tactic to specifically eradicate tumor cells. Whether...

    Zhan-Li Chen, Chen **e, ... Shi-Mei Zhuang in Signal Transduction and Targeted Therapy
    Article Open access 12 July 2024
  2. Boosting working memory in the elderly: driving prefrontal theta–gamma coupling via repeated neuromodulation

    The escalating global burden of age-related neurodegenerative diseases and associated healthcare costs necessitates innovative interventions to...

    Lukas Diedrich, Hannah I. Kolhoff, ... Andrea Antal in GeroScience
    Article Open access 12 July 2024
  3. The Kernel Memory Concept – A Paradigm Shift from Conventional Connectionism

    In this chapter, the general concept of kernel memory (KM) is described, which is given as the basis for not only representing the general notion of...
    Chapter
  4. Modelling Abstract Notions Relevant to the Mind and the Associated Modules

    This chapter is devoted to the remaining four modules within the AMS, i.e. 1) attention, 2) emotion, 3) intention, and 4) intuition module, and their...
    Chapter
  5. Bioinformatics with Evolutionary Computation

    This chapter makes the presumption that it is more important to understand the domain of the problem of interest and to pursue the best achievable...
    Chapter
  6. Introduction

    Genetic algorithms (GAs) are powerful search techniques based on principles of evolution. They are now widely applied to solve problems in many...
    Chapter
  7. Linkage Learning Genetic Algorithm

    In order to handle linkage evolution and to tackle the ordering problem, Harik [47] took Holland’s call [53] for the evolution of tight linkage quite...
    Chapter
  8. Preliminaries: Assumptions and the Test Problem

    After introducing the background and motivation of the linkage learning genetic algorithm, we will start to improve and understand the linkage...
    Chapter
  9. Rough Set Theory with Applications to Data Mining

    This paper is an introduction to rough set theory with an emphasis on applications to data mining. First, consistent data are discussed, including...
    Chapter
  10. From Classical Connectionist Models to Probabilistic/Generalised Regression Neural Networks (PNNs/GRNNs)

    This chapter begins by briefly summarising some of the well-known classical connectionist/artificial neural network models such as multi-layered...
    Chapter
  11. Language and Thinking Modules

    In this chapter, we focus upon the two modules which are closely tied to the concept of “action planning”, i.e. the 1) language and 2) thinking...
    Chapter
  12. Sensation and Perception Modules

    In any kind of creature, both the mechanisms of sensation and perception are indispensable for continuous living, e.g. to find edible plants/fruits...
    Chapter
  13. Reinforcement Learning: A Brief Overview

    Learning techniques can be usefully grouped by the type of feedback that is available to the learner. A commonly drawn distinction is that between...
    Chapter
  14. An Analysis of Continuous-Valued Representations for Learning Classifier Systems

    Learning Classifier Systems [11] typically use a ternary representation to encode the environmental condition that a classifier matches. However,...
    Christopher Stone, Larry Bull in Foundations of Learning Classifier Systems
    Chapter
  15. Data Driven Fuzzy Modelling with Neural Networks

    Extraction of models for complex systems from numerical data of behavior is studied. In particular, systems representable as sets of fuzzy if-then...
    Chapter
  16. Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks

    Biomedical High-Throughput Screening (HTS) requires specific properties of image compression. Particularly especially when archiving a huge number of...
    Chapter
  17. Discriminative Clustering of Yeast Stress Response

    When a yeast cell is challenged by a rapid change in the conditions, be it temperature, osmolarity, pH, nutrient or other, it starts a genome stress...
    Samuel Kaski, Janne Nikkilä, ... Christophe Roos in Bioinformatics Using Computational Intelligence Paradigms
    Chapter
  18. Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning

    Based on the Human Genome Project, the new interdisciplinary subject of bioinformatics has become an important research topic during the last decade....
    Chapter
  19. Cholera toxin: mechanisms of entry into host cells

    Cholera toxin moves from the plasma membrane to the ER of host cells to cause disease. Trafficking in this pathway depends on toxin binding to...
    David E. Saslowsky, Michael Kothe, Wayne I. Lencer in Microbial Protein Toxins
    Chapter
  20. The Ustilago maydis killer toxins

    Killer toxins are small proteins secreted by a number of fungi that are lethal to susceptible cells (generally fungi of the same or related species)....
    Jeremy Bruenn in Microbial Protein Toxins
    Chapter
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