74 results about "Likely outcome" patented technology

The present invention provides a hyperspectral imaging system which demonstrates changes in tissue oxygen delivery, extraction and saturation during shock and resuscitation including an imaging apparatus for performing real-time or near real-time assessment and monitoring of shock, including hemorrhagic, hypovolemic, cardiogenic, neurogenic, septic or burn shock. The information provided by the hyperspectral measurement can deliver physiologic measurements that support early detection of shock and also provide information about likely outcomes.

The present invention relates to an investment instrument which allows investors to take risk positions relative to the occurrence or non-occurrence of a contingent binary event. The contingent binary event will have one of two possible outcomes. In a digital futures contract, a long investor agrees to pay a short investor a contract futures amount in return for the short investor agreeing to pay the long investor one of two different settlement amounts depending on the outcome as the contingent binary event. Typically one settlement amount will be zero and the other will be an amount greater than the futures price.

A betting method determines rate of return on a bet by employing supply and demand forces. The bet can be made on any uncertain future event that has at least two outcomes (e.g. sporting events, financial market fluctuations, and elections). Investors that place a bet on a particular outcome provide money to a betting machine and receive shares (specific to the chosen outcome) in return. For each possible outcome there is a share type. Shares that correspond with the winning bet have a certain guaranteed value when the outcome is determined; losing share types are normally defined as worthless. Before the winning bet is determined, share values are calculated following a supply and demand model according to the following equation:

where Q₁ is the share value for shares corresponding to a first outcome, B₁ is the amount bet upon the first outcome, and B_Tot is the total amount bet on all outcomes. Analogous equations determine share values for all other outcomes. In the present method, share value calculations can be reiterated so that new bets can be placed, and shares can be redeemed for money before the event occurs. In subsequent iterations, the machine exchanges shares for money from new investors and exchanges money for shares redeemed by investors from a previous iteration. The machine calculates revised share values for each outcome based on the amounts of money and shares exchanged. The calculation of the new share values generally involves the solution of a polynomial of order n+1, where n is the number of different outcomes.

A task effort estimator may determine a probability distribution of an estimated effort needed to complete unfinished tasks in a project based on one or more of a set of completed tasks belonging to a project and attributes associated with the completed tasks belonging to the project, a set of completed tasks not belonging to the project and attributes associated with the completed tasks not belonging to the project, or the combination of both. A project completion predictor may determine a probability distribution of completion time for the project based on the probability distribution of an estimated effort needed to complete the unfinished tasks in the project, and one or more resource and scheduling constraints associated with the project.

The disclosed invention is a computerized testing methodology which uses Yes/No answers to questions to make the most appropriate selection from a set of defined possibilities. With regard to a topic which is being analyzed, a set of possible outcomes is defined. A database of questions which bear upon these outcomes is developed and each outcome is ranked in relation to each question as to how much that question indicates that outcome. This is a serial ranking of 1 through the number of possible outcomes. Additional weight factors may be used along with these rankings. As questions are answered, these rankings and weights are used to calculate accumulating scores for the possible outcomes. A formula is provided to choose a balanced selection of questions initially and then shift to questions which focus on the indicated likely outcomes as the questioning progresses. Upon termination of the questioning process, the outcomes having the highest percent accumulated score to possible score are deemed indicated by the method. The process may be repeated to obtain a second most indicated outcome. Means of storing, using, and presenting the method are also disclosed.

A virtual human interaction system for use on a PC or web-enabled computer facilitates the training and education of medical services practitioners by allowing them to virtually interact with a virtual patient delivered by the system and displayed on the computer screen. The system embodies a plurality of cases, and for each case, there are a number of possible outcomes, depending on the choices made by the medical services practitioner at each stage in a particular case. Together with the virtual patient displayed by the system, also incorporated into the system are a plurality of appearance descriptors which can be applied to the virtual patient by the system so as to cause a change in the appearance based on real-life human conditions which affect the physical appearance of humans generally and which are thus mimicked in the virtual patient. The resulting effect is to provide users with an almost real-time indication of their actions on patients.

A computer implemented method and system for automatically setting prices of financial activities which culminate after a period of progressive development. The financial activities have a plurality of possible outcomes and include weather-related or other naturally occurring events as well as sporting events and sporting competitions. The method includes receiving a first request from a participant terminal to purchase a financial product for one of the possible outcomes, i; and electronically computing a price for the requested financial product, in response to the first request, based at least in part on a first formula. In one example, the financial products include contracts in a one-sided market of buyer participants where the outcomes are mutually exclusive and collectively exhaustive.

Several code detectors in parallel simultaneously examine varying overlapping segments of a data stream containing variable length codes, referred to as a data window. The data window segments directly address memory structures within each of the code detectors without any previous logic stages. Each code detector is responsible for a range of code lengths, and ignores data window bits that are not relevant to its code length range. Each code detector outputs a possible result to a layer of logic that selects the possible result of the single code detector which contains result data corresponding to a variable length code in the data window.

The disclosed invention is a method using Yes/No answers to questions to make the most appropriate selection from a set of defined possibilities. With regard to a topic which is being analyzed, a set of possible outcomes is defined. A database of questions which bear upon these outcomes is developed and each outcome is ranked in relation to each question as to how much that question indicates that outcome. Additional weight factors may be used along with these rankings. These rankings and weights are used to calculate accumulating scores for the possible outcomes. A formula is provided to choose a balanced selection of questions initially and then shift to questions which focus on the indicated likely outcomes as the questioning progresses. The outcomes having the highest percent accumulated score to possible score are deemed indicated by the method. The process may be repeated to obtain a second most indicated outcome.

A method and apparatus are described where account information is used to predict possible outcomes of a HELOC. To predict the possible outcomes, HELOC account state transition probabilities are modeled. The transition probabilities, determined by historic data regression analysis, provide the framework for a Monte Carlo simulation. The simulation is seeded with HELOC account information. A calculation engine takes the account information and simulates an elapse of time using a random number generator and the state transition probabilities. The simulation results in updated account information predicting a possible outcome over the elapsed time interval. The updated account information in turn may be used by the calculation engine to simulate the next elapse of time. This method may be iteratively repeated with the account information propagated forward until the end of the prediction period is reached.

A mechanical wheel casino game of chance using a freely moving internal indicator such as a ball within a housing to randomly move and bounce into one possible outcome segment in a set of possible outcome segments. The expected value is controlled through a combination of geometrical and mathematical considerations. The set of possible outcome segments randomly picked and placed at the bottom of the wheel so that as the wheel stops, the freely moving, bouncing ball lands in one of the possible outcome segments. The segment the ball lands in is sensed and the award associated with the landed in segment is paid out to the player. A periodic testing method determines whether mechanical bias exists in the casino game of chance.

A tool which provides counsel with a data collection mechanism to guide them through various steps in the litigation process and directs counsel and/or legal assistants to determine what information is required. The tool provides a “Discovery Generator” that is available to capture counsel's potential discovery requests, which are linked to existing document and form production tools for facilitated production of discovery. The tool informs the user of the percentage of progress of the required information that has been entered. The tool provides an analytical framework that captures the judgment of seasoned practitioners to provide a comprehensive analysis of the legal, factual, and business aspects of the lawsuit. The tool provides methodologies that quantify subjective analyses through the use of weighted measuring schemes. The tool provides a decision tree structure underlying the various steps of the methodology activated by user's answers to queries to aid in the capture and analysis of information. To do this the tool directs counsel to assign values to reflect the importance of various aspects of the litigation. Based on the values that are assigned, counsel's assessment of the particular aspect of the litigation which is captured through the queries mentioned above, and statistical assessments of likely outcomes based on historical records of previously captured information and analogous assessments, the tool provides counsel with suggested paths forward. This process occurs on both a step by step basis as well as with an overall assessment of the case.

Disclosed are variants of Cre recombinase that have broadened specificity for the site of recombination. Specifically, the disclosed variants mediate recombination between sequences other than the loxP sequence and other lox site sequences on which wild type Cre recombinase is active. In general, the disclosed Cre variants mediate efficient recombination between lox sites that wild type Cre can act on (referred to as wild type lox sites), between variant lox sites not efficiently utilized by wild type Cre (referred to as variant lox sites), and between a wild type lox site and a variant lox site. Also disclosed are methods or recombining nucleic acids using the disclosed Cre variants. For example, the disclosed Cre variants can be used in any method or technique where Cre recombinase (or other, similar recombinases such as FLP) can be used. In addition, the disclosed Cre variants allow different alternative recombinations to be performed since the Cre variants allow much more efficient recombination between wild type lox sites and variant lox sites. Control of such alternative recombination can be used to accomplish more sophisticated sequential recombinations to achieve results not possible with wild type Cre recombinase.

The invention discloses a content-based question automatic classification method and a content-based question automatic classification system. The system comprises a question key word acquisition module, a characteristic space construction module and a semantic mapping module, wherein, the question key word acquisition module is used for acquiring a question key word of a novel question according to a key word label and/or a fillable content label in a template, setting a weight for the question key word and obtaining a question vector of the novel question; the characteristic space construction module is used for acquiring a characteristic vector of each class according to questions of all the prior classes and weights and constructing a characteristic space; the semantic mapping module is connected with the characteristic space construction module and the question key word acquisition module and used for mapping the question vector of the novel problem to the characteristic space, calculating the similarity of the novel problem and each class according to the question vector of the novel question after mapping and the characteristic vector of each class, and returning classes which are most related to the novel problem according to the similarity. The content-based question automatic classification method and the content-based question automatic classification system realize automatic classification of the novel problem which is put forward by a user and return most probable results to the user for selection.

The invention relates to methods and kits for the prediction of a likely outcome of chemotherapy in a cancer patient. More specifically, the invention relates to the prediction of tumour response to chemotherapy based on measurements of expression levels of a small set of marker genes. The set of marker genes is useful for the identification of breast cancer subtypes responsive to taxane based chemotherapy, such as e.g. a taxane-anthracycline-cyclophosphamide-based (e.g. Taxotere (docetaxel)-Adriamycin (doxorubicin)-cyclophosphamide, i.e. (TAC)-based) chemotherapy.

A method of decision making using artificial intelligence that: receives data associated with a user regarding the situation of the user; identifies action options that the user might pursue; computes normalized scores for each of the action options based on the eligibility and likely outcome of the user pursuing the respective action option; compares the scores to a minimum threshold and to each other using quantitative and qualitative metrics; outputs a list of action options to the user as primary and secondary options to pursue based on the comparison; receives a selection from the user based on the list of action options; and transmits a message to a party who provides the action option(s) based on the selection. The method is, for example, applicable to decision making in the context of personal finance and debt assistance.

The invention provides a fight simulation system generating military strength based on a computer and a simulation method and relates to the technical field of simulative training in battlefields. The fight simulation system comprises a data inputting module, a data analysis module and an output evaluation module. The flight simulation method comprises the following steps that during system initialization, path planning of different scenes, tactics strategies and character and terrain cooperating relation are input, and a planning algorithm and information of an operator are input; after initialization data is input, an experimental data analysis and system modeling stage is executed; after data modeling, the data is output to evaluate the model, earnings and price are calculated to ratiocinate whether the proportion of the earnings to the price is reasonable or not, and results are output. By conducting enough modeling on human behaviors, a CGF can automatically make response on events and states in a simulative battlefield environment without human interaction, and possible results in real fights can be simulated.