Detection of local community structures in complex dynamic networks with random walks

Identification of interaction patterns in complex networks via community structures has gathered a lot of attention in recent research studies. Local community structures provide a better measure to understand and visualise the nature of interaction when the global knowledge of networks is unknown. Recent research on local community structures, however, lacks the feature to adjust itself in the dynamic networks and heavily depends on the source vertex position. In this study the authors propose a novel approach to identify local communities based on iterative agglomeration and local optimisation. The proposed solution has two significant improvements: (i) in each iteration, agglomeration strengthens the local community measure by selecting the best possible set of vertices, and (ii) the proposed vertex and community rank criterion are suitable for the dynamic networks where the interactions among vertices may change over time. In order to evaluate the proposed algorithm, extensive experiments and benchmarking on computer generated networks as well as real-world social and biological networks have been conducted. The experiment results reflect that the proposed algorithm can identify local communities, irrespective of the source vertex position, with more than 92% accuracy in the synthetic as well as in the real-world networks.     

Protein kinases in mammary gland development and cancer

Protein kinases, the enzymes responsible for phosphorylation of a wide variety of proteins, are the largest class of genes known to regulate growth, development, and neoplastic transformation of mammary gland. Mammary gland growth and maturation consist of a series of highly ordered events involving interactions among several distinct cell types that are regulated by complex interactions among many steroid hormones and growth factors. The mammary gland is one of the few organ systems in mammals that complete their morphologic development postnatally during two discrete physiologic states, puberty and pregnancy. Thus, the mammary gland is an excellent model for studying normal development and the early steps of tumor formation. The susceptibility of the mammary gland to tumorigenesis is influenced by its normal development, particularly during stages of puberty and pregnancy. Numerous experimental and epidemiological studies have suggested that specific details in the development of the mammary gland play a critical role in breast cancer risk. Mammary gland development is characterized by dynamic changes in the expression and functions of protein kinases. Perturbations in the regulated expression or function of protein kinases or their associated signaling pathways can lead to malignant transformation of the breast. For example, overexpression of several receptor-tyrosine kinases, including human epidermal growth factor receptor and HER2/Neu, has been shown to contribute to the development of breast cancer. Since receptor-tyrosine kinases regulate several essential processes such as mitogenesis, motility, invasion, cell survival, and angiogenesis, targeting receptor-tyrosine kinases may have important implications in designing strategies against breast cancer.     

Solving distributed FMS scheduling problems subject to maintenance: Genetic algorithms approach

In general, distributed scheduling problem focuses on simultaneously solving two issues: (i) allocation of jobs to suitable factories and (ii) determination of the corresponding production scheduling in each factory. The objective of this approach is to maximize the system efficiency by finding an optimal planning for a better collaboration among various processes. This makes distributed scheduling problems more complicated than classical production scheduling ones. With the addition of alternative production routing, the problems are even more complicated. Conventionally, machines are usually assumed to be available without interruption during the production scheduling. Maintenance is not considered. However, every machine requires maintenance, and the maintenance policy directly affects the machine's availability. Consequently, it influences the production scheduling. In this connection, maintenance should be considered in distributed scheduling. The objective of this paper is to propose a genetic algorithm with dominant genes (GADG) approach to deal with distributed flexible manufacturing system (FMS) scheduling problems subject to machine maintenance constraint. The optimization performance of the proposed GADG will be compared with other existing approaches, such as simple genetic algorithms to demonstrate its reliability. The significance and benefits of considering maintenance in distributed scheduling will also be demonstrated by simulation runs on a sample problem.     

Sponsored R&D in India: The project sponsoring pattern and main outcome of projects sponsored by major central departments/agencies

This paper examines the project sponsoring pattern and the outcome of extramural R&D with respect to the projects sponsored by country's eleven central agencies during the Seventh Five-Year Plan period. The outcome considered are: contribution of R&D support to development of R&D facilities at the recipient institutions, creation of employment through project posts, development of new technologies, quantum and quality of research publications and generation of doctoral thesis. The paper concludes that sponsored R&D has largely remained one-way flow of funds to a preferred set of institutions (as perceived by each sponsoring agency) and the outcome of the R&D have also remained unexamined by the respective funding agencies. The paper advocates development of a monitoring system which would help in enhancing the utilisation of sponsored R&D and its overall impact on science, society and economy.     

Thermal performance of “still on roof” system

This paper presents an analysis of periodic heat flux through a roof, on which a solar still has been placed. It is seen that on a typical hot day in Delhi, for high reflectivity of the bottom of the basin (on account of deposits or otherwise) the daily heat flux in the room gets reduced by 40% and the production of distilled water is 0.6 kg/m² day; the produced swings in the heat flux also get reduced in magnitude. For a typical cold day in Delhi, if a black dye is mixed with basin water the daily heat flux in the room increases by a factor of two and the yield of the distillate becomes 5.0 kg/m² day.     

Early user involvement in the development of information technology-related products for older people

The UTOPIA project (Usable Technology for Older People—Inclusive and Appropriate) is focused on developing effective methods for the early involvement of older people in the development of information technology-related products for people aged 60 and over, and on providing industry with tools to assist in the development of information technology products for such older people. An essential part of this methodology is building a diverse user base, forming a long-lasting partnership with older people, and developing approaches for effective interaction with this target user group. Our experiences with eliciting information from groups of older people about technology is described, together with a report on seminars for Scottish industry designed to raise an awareness of these issues.     

Effect of a thermal trap on the performance of a solar sand collector

The effects of different parameters—e.g. the thickness of the trap material, the flow rate of the water and the depth of the heat-retrieval plane—on the water temperature have been investigated. A comparison of the present system with a conventional solar sand collector was also made.     

A multi-standby multi-failure mode system with repair and replacement policy

This paper investigates the mathematical model of a system composed of (m + 1) non identical units—one functioning and m standby. Each unit of the system has three possible states—normal, degraded and failed. We consider two types of repair facilities—overhaul and minor repair. The system breaks down when the (m + 1)th unit after total failure is finally rejected and no standby remains to replace it. Several reliability characteristics of interest to system designers as well as operations managers have been computed. Results obtained earlier are verified as particular cases.