Discovering Correlation Indices for Link Prediction Using Differential Evolution

Binary correlation indices are crucial for forecasting and modelling tasks in different areas of scientific research. The setting of sound binary correlations and similarity measures is a long and mostly empirical interactive process, in which researchers start from experimental correlations in one domain, which usually prove to be effective in other similar fields, and then progressively evaluate and modify those correlations to adapt their predictive power to the specific characteristics of the domain under examination. In the research of prediction of links on complex networks, it has been found that no single correlation index can always obtain excellent results, even in similar domains. The research of domain-specific correlation indices or the adaptation of known ones is therefore a problem of critical concern. This paper presents a solution to the problem of setting new binary correlation indices that achieve efficient performances on specific network domains. The proposed solution is based on Differential Evolution, evolving the coefficient vectors of meta-correlations, structures that describe classes of binary similarity indices and subsume the most known correlation indices for link prediction. Experiments show that the proposed evolutionary approach always results in improved performances, and in some cases significantly enhanced, compared to the best correlation indices available in the link prediction literature, effectively exploring the correlation space and exploiting its self-adaptability to the given domain to improve over generations.

454 - Quality of Life: People with Dementia and Their Caregiver in Indonesia

Background:As a psychological being, quality of life is one of the most important part to human. Many things could affect one’s quality of life, in elderly, Dementia is one of them. In 2013 approximately there were 960.000 people with dementia (PWD) in Indonesia. Caregiver who take care of PWDs’ daily activity have an important role and maybe prone to stress, guilty feeling, anger and sad due to hardship of caregiving the PWD. Therefore caregivers’ quality of life is substantial as PWDs’ quality of life.Aims:This study objective was to know the relationship of quality of life people with dementia and their caregiver in Indonesia.Methods:A descriptive-analytic study was conducted in RSUPN Dr. Ciptomangunkusumo Hospital Jakarta. Eighty four subjects were participated (42 PWD and 42 caregivers). PWD subjects were interviewed using questionnaires EQ-5D and severity of dementia measured using MMSE. Meanwhile caregivers’ QOL was measured using WHOQOL-BREF. Data was analyzed using binary correlation between PWD and Caregivers’ quality of life.Results:There was no correlation of PWD physical health and caregivers’ quality of life. However there was strong correlation between quality of health PWD and caregivers’QOL notably in environmental domain (r = 0.839). And there were also a strong correlation between PWD severity of dementia and caregiver’s QOL inphysical domain (r = 0.946). Some of caregivers’ factor influencing quality of life were age (r = 0.805), duration of caregiving each day (r = 0.362) and experience of caregiving (r = 0.927)Conclusion:Study found that the quality of health PWD had a strong correlation with caregiver’s QOL specifically in environmental domain.Internal factors related to caregiversQOL were age, duration of caregiving each day and experience of caregiving. Future study should be focused on objective measurement of quantify health quality.These findings suggest that caregivers’ quality of life also an essential part in managing dementia.

Material equations in electrodynamics of medium consisting of two-level emitters

The process of self-ordering in the famous Dicke model was studied in the framework of eliminating the boson variables. But the reduced description method enables us to obtain also the picture of electromagnetic field evolution provided field amplitudes and correlation functions are included into the number of reduced description parameters. In the Dicke Hamiltonian structure the interaction term includes the operators of emitter dipole moments or dipole moment density (polarization) since a spatial system is under consideration. Thus operator evolution equations are based on using such operators and their derivatives. The chain of evolution equations for averaged field amplitudes and binary correlation functions are obtained with using the statistical operator calculated in a perturbation theory in quasispin-photon interaction assumed to be small. The problem of chain decoupling does not arise since at any step we have a closed set of equations. The sets should be solved on the basis of material equations for current density and their generalizations for more complicated correlation functions. The way to constructing such equations and estimating the material parameters which are necessary for the numerical modeling of the development of correlations is discussed in the paper.

The Role of Manganese as a Controller for Gold Mineralization

The San José de Las Malezas quartz-gold deposit is located on the North side of the Cuban Ophiolitic Complex, within the Structural-Facial Zone "Zaza", Province of Villa Clara, Cuba. In the area of the deposit there is a well developed listwanite zone that begins with (i) massive and relatively little altered serpentinites that pass into (ii) iron-altered serpentinites which are in gradational contact with (iii) completely carbonatized rocks and (iv) a core of silicified rocks and quartz veins. Copper and gold mineralization are associated with these quartz bodies, but binary correlation analysis of geochemical data suggests that the ores are genetically independent of one another. In concordance with the proposed genetic model supported by thermodynamic calculations and field observations, copper is thought to be introduced by a hydrothermal process, whereas gold was leached from the serpentinites. The evolution of manganese minerals from anaerobic to aerobic species provoked a reducing environment which difficulted the precipitation of gold and other ores inside and near the serpentinites. Accordingly, a significant negative correlation between gold and manganese in similar areas of hydrothermally altered serpentinites, may be good indicators of possible gold concentrations. The mechanical transportation of very small and thin scales of native gold from the serpentinites by the fluids is also suggested as a possible mechanism to explain the presence of this kind of scales inside the iron-altered zone.

Development of framework for just-in-time implementation in maintenance

Purpose The purpose of this paper is to propose an interpretive structural modeling (ISM) model which highlights the relationships between the identified just-in-time (JIT) elements useful for the implementation of JIT in maintenance and understand mutual influences of these identified JIT elements on JIT implementation in maintenance. Further, this paper seeks to identify dependence power and driving power of identified JIT elements using an ISM and Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach The methodology used in the paper is ISM with a view to evolving mutual relationships among JIT elements. The identified JIT elements have been further classified, based on their dependence power and driving power using MICMAC analysis. Findings This paper has developed the relationships among 16 identified JIT elements using the ISM methodology. Further, this paper analyses the driving power and dependence power of identified JIT elements with the help of MICMAC analysis. The incorporated approach is developed here, as the ISM provides only binary correlation among identified JIT elements. The MICMAC analysis is adopted here as it is useful in specific examination related to driving and the dependence power of identified JIT elements. The ISM developed model and MICMAC analysis finding are validated with the help of industrial experts. Research limitations/implications The weightage and validation for the ISM and MICMAC analysis are obtained throughout the opinion of academics and industry experts. Further hypothesis may be conducted to examine the validity of the planned model, and structural model may also be validated statistically with the help of structural equation modeling. Practical implications The ISM model development and MICMAC analysis of identified JIT elements provide academics and maintenance managers a macro picture of the profits gained by the organizations by the implementation of JIT in maintenance of an organization. Originality/value The results will be useful for maintenance managers to understand the process of implementation of JIT in maintenance and to gain benefits after the implementation of JIT in maintenance of an organization.

Elementary Principles

The many-body theory combines ideas of thermodynamics with ideas of mechanics. In this introductory chapter, the symbiosis of these two different fields of physics is demonstrated on overly simplified models. We explore the principles of finite-range forces to show the twofold nature of virial corrections. Infrequent collisions with a large deflection angle lead to collision integrals and rather frequent encounters with deflections on small angles act as a mean field. The (mean-field) corrections to drift result in the internal pressure and the nonlocal correction to the collisions results in the effect of the molecular volumes. The concept of distribution functions is introduced and the measure of information as entropy. The binary correlation allows one to distinguish tails and cores of the interaction potential. The concept of binary correlation is thus behind the intuitive picture of the kinetic equation.

Effects of Soil Moisture on Vegetation Invasion into Active Dune Areas

Soil moisture and soil seed bank are primary dependent factors during the vegetation natural regenerations in semi-arid sand areas. But the binary correlation analysis between seedling density and soil seed bank density as well soil moisture in transition zones between the windword slope of active dune and interdune lowland indicated that the correlation between seedling density and soil seed bank density was not significant (P>0.05) in the plant growing season; but the one between seedling density and soil moisture was significant and positive (P<0.05). The conclusions revealed that soil moisture was a primary dependent factor during seedling emergence and establishment in the transition zone