Multiple Attribute Decision Making (MADM) is one of the best candidate network selection methods used for Vertical Handover Decision (VHD) in heterogeneous wireless networks (4G). Selection of the network in MADM is predominantly decided by two steps, i.e., attribute normalization and weight calculation. This dependency in MADM results in an unreliable network selection for handover, and in a r...

Path selection in multihomed nodes can be enhanced by optimization techniques that consider multiple criteria. With NP-Hard problems, MADM techniques have the flexibility of including any number of benefits or costs criteria and are open regarding the functions that can be employed to normalize data or to determine distances. TOPSIS uses the Euclidean distance (straight line) while DiA employs ...

The human brain comprises more than 100 billion neurons, each of which has an elaborate shape and a complex pattern of connections. To untangle this complexity, it is often useful to visualize one neuron at a time. Mosaic analysis with double markers (MADM) is a genetic method for labeling and manipulating individual neurons. This method was developed in mice and it allows simultaneous labeling...

Mindfulness-based cognitive therapy (MBCT) is an efficacious psychosocial intervention for recurrent depression (Kuyken et al., 2008; Ma & Teasdale, 2004; Teasdale et al., 2000). To date, no compelling research addresses MBCT's mechanisms of change. This study determines whether MBCT's treatment effects are mediated by enhancement of mindfulness and self-compassion across treatment, and/or by a...

FROM: Kuyken W, Hayes R, Barrett B, et al. Effectiveness and cost-effectiveness of mindfulness-based cognitive therapy compared with maintenance antidepressant treatment in the prevention of depressive relapse or recurrence (PREVENT): a randomised controlled trial. Lancet 2015;386:63–73. WHAT IS ALREADY KNOWN ON THIS TOPIC Patients with major depressive disorder have a high risk of relapse/ rec...

Run No. Run ID Run Description infMAP (%) training on IACC data 1 F A DFKI-MADM 3 SIFT visual words, Color Correlograms and Face-Detection separately trained, late fusion of SVMs scores 5.0 2 F A DFKI-MADM 4 SIFT visual words with SVMs 4.4

Multiple Attribute Decision Making (MADM) refers to the problem of selecting among alternatives associated with multiple, usually conflicting, attributes. Based on incomplete preference information on alternatives given by the Decision Maker (DM), this paper proposes an mathematical programming approach to solve the MADM problem. To reflect the DM’s preference information, an optimization model...

We describe a method termed MADM (mosaic analysis with double markers) in mice that allows simultaneous labeling and gene knockout in clones of somatic cells or isolated single cells in vivo. Two reciprocally chimeric genes, each containing the N terminus of one marker and the C terminus of the other marker interrupted by a loxP-containing intron, are knocked in at identical locations on homolo...

The choice of an aggregation function is a common problem in Multi Attribute Decision Making (MADM) systems. The Method of Imprecision (MoI) is a formal theory for the manipulation of preliminary design information that represents preferences among design alternatives with the mathematics of fuzzy sets. The MoI formulates the preliminary design problem as a MADM problem. To date, two aggregatio...

Stem cell competition has emerged as a mechanism for selecting fit stem cells/progenitors and controlling tumourigenesis. However, little is known about the underlying molecular mechanism. Here we identify Mlf1-adaptor molecule (Madm), a novel tumour suppressor that regulates the competition between germline stem cells (GSCs) and somatic cyst stem cells (CySCs) for niche occupancy. Madm knockdo...