Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of information; SCOP and PROMOTIF. Cross-validation results for experiments using two background knowledge sets, global (attribute-valued) and constitutional (relational), are presented. The application makes use of a new feature of...

this islamic rule is one of the most important rules in order to protect legal system and prevent it from disorder in social human life. the meaning of this rule is that, there is no law devised that violates the order of human life. the most important evidences for the validity of this rule are islamic tradition and wisdom. this article shows the status of this subject in purposive and governm...

Differential organ growth during development is essential for adults to maintain the correct proportions and achieve their characteristic shape. Organs scale with body size, a process known as allometry that has been studied extensively in a range of organisms. Such scaling rules, typically studied from a limited sample, are assumed to apply to all members of a population and/or species. Here w...

The physical movement and the athletic movement and, furthermore, the whole of the physical activity, are distinct from other activities due to the organization on the basis of which it is practiced, to the way it is conducted and implemented and to the objectives which it involves. The legal entities in general and the ones of the sports sector in particular have been constituted so as to cove...

There is mounting evidence that appropriately timed neuromuscular stimulation can induce neural plasticity and generate functional recovery from motor disorders. This review addresses the idea that coordinating stimulation with a patient's voluntary effort might further enhance neurorehabilitation. Studies in cell cultures and behaving animals have delineated the rules underlying neural plastic...

It is well established that short-term synaptic plasticity (STP) of neocortical synapses is itself plastic - e.g., the induction of LTP and LTD tend to shift STP towards short-term depression and facilitation, respectively. What has not been addressed theoretically or experimentally is whether STP is "learned"; that is, is STP regulated by specific learning rules that are in place to optimize t...

<span>Numerical analysis plays a vital role in the computational modeling of nephron. The solutions from numerical methods exhibit regular, period doubling, and irregular oscillations as global behavior. A single nephron compliance tubular model with transport mechanism autoregulatory has been developed using cellular automata framework this paper. Global emergent behavior biological syst...

We evaluate an agent-based model featuring nearzero-intelligence traders operating in a call market with a wide range of trading rules governing the determination of prices, which orders are executed as well as a range of parameters regarding market intervention by market makers and the presence of informed traders. We optimize these trading rules using a multi-objective population-based increm...

Robots deployed to assist and collaborate with humans in complex domains need the ability to represent and reason with incomplete domain knowledge, and to learn from minimal feedback obtained from non-expert human participants. This paper presents an architecture that combines the complementary strengths of Reinforcement Learning (RL) and declarative programming to support such commonsense reas...