The balancing effect in brain-machine interaction
نویسنده
چکیده
The meta-analysis of Intangible Brain-Machine Interaction (IMMI) data with random number generators (RNG’s) (Bösch, 2006) is re-evaluated through the application of rigorous and recognised mathematical tools. The current analysis shows that the statistical average of the true RNG-IMMI data is not shifted from chance by direct mental intervention, thus refuting the IMMI hypothesis. A facet of this general statistical behavior of true RNG-IMMI data is the statistical balancing of scores observed in IMMI tests where binary testing conditions are adopted. The actual dynamics that had been supporting the elusive IMMI effect are shown to be related to the psychology of experimenters. The implications of the refutation of the IMMI hypothesis especially on associated phenomena are also discussed.
منابع مشابه
New Dynamic Balancing System Based on Magnetic Interaction and Software Removal of some Perturbations
The purpose of this paper is to present a new type of dynamic balancing system, having a driving solution of the rotating part based on magnetic interactions. The magnetic system also plays the role of an elastic bearing. In the first part of the article is presented the technical solution which allows the dynamic balancing evaluation depending on the radial displacement between two disks with ...
متن کاملOnline Distribution and Load Balancing Optimization Using the Robin Hood and Johnson Hybrid Algorithm
Proper planning of assembly lines is one of the production managers’ concerns at the tactical level so that it would be possible to use the machine capacity, reduce operating costs and deliver customer orders on time. The lack of an efficient method in balancing assembly line can create threatening problems for manufacturing organizations. The use of assembly line balancing methods cannot balan...
متن کاملA New Multi-Objective Model for a Cell Formation Problem Considering Machine Utilization and Alternative Process Routes (RESEARCH NOTE)
This paper presents a novel, multi-objective mixed-integer nonlinear programming (MINLP) model for a cell formation problem (CFP) with alternative means. Due to existing contradiction among objectives, three are considered: 1) Minimizing the total cost consisting of; intercellular movements, purchasing, operation, and maintenance; 2) maximizing the utilization of machines in the system; 3) mini...
متن کاملDetection of Glioblastoma Multiforme Tumor in Magnetic Resonance Spectroscopy Based on Support Vector Machine
Introduction: The brain tumor is an abnormal growth of tissue in the brain, which is one of the most important challenges in neurology. Brain tumors have different types. Some brain tumors are benign and some brain tumors are cancerous and malignant. Glioblastoma Multiforme (GBM) is the most common and deadliest malignant brain tumor in adults. The average survival rate for peo...
متن کاملA Hybrid Unconscious Search Algorithm for Mixed-model Assembly Line Balancing Problem with SDST, Parallel Workstation and Learning Effect
Due to the variety of products, simultaneous production of different models has an important role in production systems. Moreover, considering the realistic constraints in designing production lines attracted a lot of attentions in recent researches. Since the assembly line balancing problem is NP-hard, efficient methods are needed to solve this kind of problems. In this study, a new hybrid met...
متن کامل