Physical Medicine & Rehabilitation, Pain Management
Work:
Comprehensive Pain & Rehabilitation Center 10151 Interprice Ctr Blvd, Boynton Beach, FL 33437 (561)7382000 (phone), (561)7353688 (fax)
Education:
Medical School New York Medical College Graduated: 1988
Procedures:
Neurological Testing
Languages:
English Spanish
Description:
Dr. Rubin graduated from the New York Medical College in 1988. He works in Boynton Beach, FL and specializes in Physical Medicine & Rehabilitation and Pain Management.
Windsong Radiology Group 55 Spindrift Dr STE 101, Buffalo, NY 14221 (716)6312500 (phone), (716)6314051 (fax)
Windsong Radiology Group 4893 Transit Rd STE 500, Depew, NY 14043 (716)6312500 (phone), (716)7711619 (fax)
Windsong Radiology Group 3950 E Robinson Rd STE 101, Buffalo, NY 14228 (716)6312500 (phone), (716)6314051 (fax)
Windsong Radiology Group 1026 Un Rd STE 1, Buffalo, NY 14224 (716)6755600 (phone), (716)6505601 (fax)
Windsong Radiology Group 4855 Cp Rd STE 500, Hamburg, NY 14075 (716)6312500 (phone), (716)6314051 (fax)
Education:
Medical School Cornell University Weill Medical College Graduated: 1987
Languages:
English Korean
Description:
Dr. Rubin graduated from the Cornell University Weill Medical College in 1987. He works in Williamsville, NY and 4 other locations and specializes in Diagnostic Radiology and Radiology.
Name / Title
Company / Classification
Phones & Addresses
Stuart Rubin Owner
Rubin Insurance Insurance Agents, Brokers, and Service
6363 Greenwich Dr # 120, San Diego, CA 92122 Website: rubininsurance.com
Stuart Rubin President
Rubin Insurance Agency, Inc. Insurance Agents, Brokers, and Service
6363 Greenwich Dr., San Diego, CA 92122
Stuart Rubin Chief Executive Officer
Rubin Pachulski Properties Real Estate Agents and Managers
11812 San Vicente Blvd # 260, Los Angeles, CA 90049
8529 S Park Cir SUITE 330, Orlando, FL 32819 4767 New Broad St, Orlando, FL 32814 1999 Ave Of The Stars, Los Angeles, CA 90067 9601 Wilshire Blvd, Beverly Hills, CA 90210
Stuart Rubin Principal
Five Star Parking Automobile Parking · Nonclassifiable Establishments
845 S Figueroa St, Los Angeles, CA 90017
Stuart Rubin Managing
Kings Villas Condominiums, LLC Real Estate
6363 Greenwich Dr, San Diego, CA 92122 22784 Us Hwy 6, Montezuma, CO 80435
Us Patents
Distributed Biohazard Surveillance System And Apparatus For Adaptive Collection And Particulate Sampling
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G01N 21/85
US Classification:
702 19, 702 22, 702 2
Abstract:
A distributed biohazard surveillance system including a plurality of robust miniaturized remote monitoring stations for the detection, localized analysis and reporting of a broad range of biohazards. The remote monitoring station may be adapted to identify many different biological particles and is not limited to particular predetermined biohazard profiles. It is centrally and dynamically reconfigurable and can be adapted to operate unattended in a remote location. The distributed system may be used to locate and report unsuspected sources of biohazards and to monitor the localized effects in real-time cooperation with a centralized data processing facility.
System And Method For Knowledge Amplification Employing Structured Expert Randomization
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G06F 17/20 G06F 17/30
US Classification:
706 47, 706 46, 706 55
Abstract:
A Knowledge Amplifier with Structured Expert Randomization (KASER) that exploits a structured expert randomization principle. One KASER embodiment allows the user to supply declarative knowledge in the form of a semantic tree using single inheritance. Another KASER embodiment includes means for automatically inducing this semantic tree, such as, for example, means for performing randomization and set operations on the property trees that are acquired by way of, for example, database query and user-interaction.
Distributed Biohazard Surveillance System And Apparatus For Adaptive Aerosol Collection And Synchronized Particulate Sampling
Stuart H. Rubin - San Diego CA, US Shu-Ching Chen - Miami FL, US
Assignee:
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G01N 21/85
US Classification:
702 19, 702 22, 702 2
Abstract:
A distributed biohazard surveillance system including a plurality of robust miniaturized remote monitoring stations for the detection, localized analysis and reporting of a broad range of biohazards. The remote monitoring station may be adapted to identify many different biological particles and is not limited to particular predetermined biohazard profiles. It is centrally and dynamically reconfigurable and can be adapted to operate unattended in a remote location. The distributed system may be used to locate and report unsuspected sources of biohazards and to monitor the localized effects in real-time cooperation with a centralized data processing facility.
Hard Real-Time Adaptive Waveform Synthesis And Evolution
United States of American as represented by the Secretary of the Navy - Washington DC
International Classification:
G03B 42/06
US Classification:
367 7
Abstract:
A method for hard real-time adaptive wave modulation, comprising: populating a case base with waveform pairs, each waveform pair comprising a primary waveform, and a secondary waveform, wherein the primary waveform induces the secondary waveform; synthesizing a known target waveform s(t) by selecting waveform pairs from the case base such that the expression ∥s(t)−g∥is minimized, where g is the secondary waveform; and mutating the primary waveforms for each waveform pair based on a normal distribution until ∥s(t)−g′∥
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G06F 15/18
US Classification:
706 14, 382167, 342118
Abstract:
In various embodiments, geodesic mining systems and methods are disclosed. For example, a method for forming and adapting a geodesic adaptive network may include embedding a set of rules into a two-dimensional adaptive network having N-rows and M-columns with rule independent variables embedded in a first column of the two-dimensional adaptive network and rule dependent variables embedded in the last column of the two-dimensional adaptive network, where N and M are positive integers greater than two, and repetitively selecting a pair of rows of the two-dimensional adaptive network having common dependent attributes using a random process, then adapting the two-dimensional adaptive network based on the selected pair of rows.
System And Method For Object Recognition Utilizing Fusion Of Multi-System Probabalistic Output
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G06N 5/00
US Classification:
706 47, 706 45
Abstract:
A method for object recognition includes generating a set of rules, using multiple systems to recognize a target object, applying the set of rules to a set of responses to determine an output, and displaying the output to a user. Each rule contains predicates and a consequent, each predicate comprising a rule token identifier and a rule probability of recognition. The rule token identifiers are generated from multiple systems. Each rule token identifier represents a system recognized object. Each rule is derived by associating a range of rule probabilities of recognition for one or more rule token identifiers to a known object. The range of rule probabilities of recognition is determined by at least one system and by combining multiple rule probabilities of recognition. Each system produces a response having a response token identifier and a response probability of recognition. Responses are combined to form the sets of responses.
The United States of America as represented by the Secretary of the Navy - Washington DC
International Classification:
G01B 9/02
US Classification:
356456
Abstract:
A laser interferometer, such as a dual path Michelson interferometer, is used to generate fringe patterns resulting from one of a plurality of optical paths passing through a sample gas. An artificial neural network, such as, for example, a KASER neural network, is used to recognize patterns in the fringe interference patterns corresponding to known target gases.
Gui For The Semantic Normalization Of Natural Language
A graphical user interface for a semantic normalizer of natural language comprising: a link to a preference menu, in which a user may set the semantic normalizer to operate in a predictive or learning mode; an input textbox disposed to display user-typed text in a first font color and user-spoken text in a second font color; a semantic echo textbox disposed to display semantically normalized text in a third font color, wherein the first, second, and third font colors are different from each other; graphical buttons that are only enabled when the semantic normalizer is in learning mode, wherein the graphical buttons may be selected by the user after the user has been prompted by the semantic normalizer to verify the accuracy of the semantically normalized text, the graphical buttons comprising a “Yes” button, a “No” button, and an “Enter Correction” button.