All Pairs Similarity Search (APSS) is the problem of finding all pairs of records with similarity scores above a specified threshold. Incremental All Pairs Similarity Search (IAPSS) is the problem of performing APSS multiple times over the same dataset by varying the similarity threshold. This problem is ubiquitous in many real-world systems like search engines, online social networks, and digi...

Earthquake time history records are required to perform dynamic nonlinear analyses. In order to provide a suitable set of such records, they are scaled to match a target spectrum as introduced in the well-known design codes. Corresponding scaling factors are taken similar in practice however, optimizing them reduces extra-ordinary economic charge for the seismic design. In the present work a ne...

Introduction: Mental neuropathy is a sensory neuropathy characterized by hypoesthe-sia or paresthesia of the chin and lower lip. It can be a symptom of a latent malignant disease. Case Presentation: This report presents a case of a 34-year-old woman with a history of breast cancer who complained of severe pain and numbness of the right lower lip. We reviewed numerous reliable articles (throu...

A state-of-the-art sensorweb is a global observation system for varied sensory phenomena from the physical world and the cyber world. This paper presents the architecture, design, and application of a sensorweb service portal called the LiveWeb. This portal has been published on the Internet and is used by researchers, students, and also other communities. This system has been used to represent...

Background: Primary hyperhidrosis (PH) refers to excessive sweating, beyond normal physiological levels, in specific sites of the body for unknown reasons. It is usually bilateral and is most prominent in the palms, axillae, feet, and face. PH prevalence is estimated to be 0%-6.1% in different populations. It usually begins in childhood and is more frequent in women. In 57% of ...

Semantic search technology has received more attention in the last years. Compared with the keyword based search, semantic search is used to excavate the latent semantics information and help users find the information items that they want indeed. In this paper, we present a novel approach for semantic search which combines Multi-Categorization Semantic Analysis (MCSA) with personalization tech...

one of the mostly used enhanced oil recovery methods is the injection of water or gas under pressure to maintain or reverse the declining pressure in a reservoir. several parameters should be optimized in a fluid injection process. the usual optimizing methods evaluate several scenarios to find the best solution. since it is required to run the reservoir simulator hundreds of times, the process...

response surface methodology is a common tool in optimizing processes. it mainly concerns situations when there is only one response of interest. however, many designed experiments often involve simultaneous optimization of several quality characteristics. this is called a multiresponse surface optimization problem. a common approach in dealing with these problems is to apply desirability funct...