Active Learning Method (ALM) is a powerful fuzzy soft computing tool, developed originally in order to promote an engineering realization of human brain. This algorithm, as a macro-level brain imitation, has been inspired by some behavioral specifications of human brain and active learning ability. ALM is an adaptive recursive fuzzy learning algorithm, in which a complex Multi Input, Multi Outp...

BACKGROUND This analysis sought to determine the associations of the Foundation for the National Institutes of Health Sarcopenia Project criteria for weakness and low lean mass with likelihood for mobility impairment (gait speed ≤ 0.8 m/s) and mortality. Providing validity for these criteria is essential for research and clinical evaluation. METHODS Among 4,411 men and 1,869 women pooled from...

The disparity between in vitro silica cytotoxicity toward macrophages and their in vivo resistance to injury following inhalation of silica at physiologic concentrations is unresolved. It is probable that inhaled silica particles absorb a variety of biological substances including proteins and alveolar lining material (ALM) thus altering the in vivo response of the macrophage to these particles...

The incidence of double cancer of the esophagus and breast is rare, and axillary lymph node metastasis (ALM) in esophageal cancer is also very rare. We report a case of advanced esophageal cancer with left ALM and synchronous right breast cancer. A 64-year-old woman was admitted to our hospital with dysphagia. The clinical diagnosis was esophageal cancer (T3N0M1 stage IV) and right breast cance...

The paper introduces a new modular action language, ALM, and illustrates the methodology of its use. It is based on the approach of Gelfond and Lifschitz (1993; 1998) in which a high-level action language is used as a front end for a logic programming system description. The resulting logic programming representation is used to perform various computational tasks. The methodology based on exist...

Application-layer multicast (ALM) protocols differ in, among other aspects, the topology of the underlying overlay network (e.g., tree, mesh or ring). Therefore, comparing the performance of ALM overlay networks is an important step towards assessing the inherent advantages and/or limitations of each overlay network topology. In particular, ring-based ALM overlay networks have the advantages of...

Solving large scale convex semidefinite programming (SDP) problems has long been a challenging task numerically. Fortunately, several powerful solvers including SDPNAL, SDPNAL+ and QSDPNAL have recently been developed to solve linear and convex quadratic SDP problems to high accuracy successfully. These solvers are based on the augmented Lagrangian method (ALM) applied to the dual problems with...

New regulations, stronger competitions and more volatile capital markets have increased the demand for stochastic asset-liability management (ALM) models for insurance companies in recent years. The numerical simulation of such models is usually performed by Monte Carlo methods which suffer from a slow and erratic convergence, though. As alternatives to Monte Carlo simulation, we propose and in...

utaneous foot melanoma is rare; it accounts for approximately 1% of all cutaneous melanoma and can be challenging to manage [1]. There are four main variants of cutaneous malignant melanomas (CMMs), superficial spreading melanoma (SSM), lentigo malignant melanoma (LMM), nodular melanoma (NM) and acral lentiginous melanoma (ALM). Superficial spreading melanoma accounts for approximately 65% of a...

IP multicasting, on par with unicast, is a powerful solution to one-to-many and many-to-many communication. The challenges faced while implementing it includes slow deployment due to the infrastructure changes needed and the address resolution problem. Hence this does not suit the current growing applications over the internet such as peer-topeer file sharing system, which requires multimedia d...