Science.gov

Sample records for clinical process intelligence

  1. Intelligent radar data processing

    NASA Astrophysics Data System (ADS)

    Holzbaur, Ulrich D.

    The application of artificial intelligence principles to the processing of radar signals is considered theoretically. The main capabilities required are learning and adaptation in a changing environment, processing and modeling information (especially dynamics and uncertainty), and decision-making based on all available information (taking its reliability into account). For the application to combat-aircraft radar systems, the tasks include the combination of data from different types of sensors, reacting to electronic counter-countermeasures, evaluation of how much data should be acquired (energy and radiation management), control of the radar, tracking, and identification. Also discussed are related uses such as monitoring the avionics systems, supporting pilot decisions with respect to the radar system, and general applications in radar-system R&D.

  2. Intelligent OCR Processing.

    ERIC Educational Resources Information Center

    Sun, Wei; And Others

    1992-01-01

    Identifies types and distributions of errors in text produced by optical character recognition (OCR) and proposes a process using machine learning techniques to recognize and correct errors in OCR texts. Results of experiments indicating that this strategy can reduce human interaction required for error correction are reported. (25 references)…

  3. Speed of Information Processing and General Intelligence.

    ERIC Educational Resources Information Center

    Vernon, Philip A.

    1983-01-01

    This study investigated the relationship between measures of speed of cognitive information processing and intelligence test scores. Cognitive processing measures were significantly related to IQ scores. Reaction time tests measure cognitive operations basic to intelligence, and individual differences in intelligence are partly due to variability…

  4. Business Intelligence in Process Control

    NASA Astrophysics Data System (ADS)

    Kopčeková, Alena; Kopček, Michal; Tanuška, Pavol

    2013-12-01

    The Business Intelligence technology, which represents a strong tool not only for decision making support, but also has a big potential in other fields of application, is discussed in this paper. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for company management. Article is logically divided into five main parts. In the first part, there is the definition of the technology and the list of main advantages. In the second part, an overview of the system architecture with the brief description of separate building blocks is presented. Also, the hierarchical nature of the system architecture is shown. The technology life cycle consisting of four steps, which are mutually interconnected into a ring, is described in the third part. In the fourth part, analytical methods incorporated in the online analytical processing and data mining used within the business intelligence as well as the related data mining methodologies are summarised. Also, some typical applications of the above-mentioned particular methods are introduced. In the final part, a proposal of the knowledge discovery system for hierarchical process control is outlined. The focus of this paper is to provide a comprehensive view and to familiarize the reader with the Business Intelligence technology and its utilisation.

  5. Intelligent Work Process Engineering System

    NASA Technical Reports Server (NTRS)

    Williams, Kent E.

    2003-01-01

    Optimizing performance on work activities and processes requires metrics of performance for management to monitor and analyze in order to support further improvements in efficiency, effectiveness, safety, reliability and cost. Information systems are therefore required to assist management in making timely, informed decisions regarding these work processes and activities. Currently information systems regarding Space Shuttle maintenance and servicing do not exist to make such timely decisions. The work to be presented details a system which incorporates various automated and intelligent processes and analysis tools to capture organize and analyze work process related data, to make the necessary decisions to meet KSC organizational goals. The advantages and disadvantages of design alternatives to the development of such a system will be discussed including technologies, which would need to bedesigned, prototyped and evaluated.

  6. Instrumenting the Intelligence Analysis Process

    SciTech Connect

    Hampson, Ernest; Cowley, Paula J.

    2005-05-02

    The Advanced Research and Development Activity initiated the Novel Intelligence from Massive Data (NIMD) program to develop advanced analytic technologies and methodologies. In order to support this objective, researchers and developers need to understand what analysts do and how they do it. In the past, this knowledge generally was acquired through subjective feedback from analysts. NIMD established the innovative Glass Box Analysis (GBA) Project to instrument a live intelligence mission and unobtrusively capture and objectively study the analysis process. Instrumenting the analysis process requires tailor-made software hooks that grab data from a myriad of disparate application operations and feed into a complex relational database and hierarchical file store to collect, store, retrieve, and distribute analytic data in a manner that maximizes researchers’ understanding. A key to success is determining the correct data to collect and aggregate low-level data into meaningful analytic events. This paper will examine how the GBA team solved some of these challenges, continues to address others, and supports a growing user community in establishing their own GBA environments and/or studying the data generated by GBA analysts working in the Glass Box.

  7. Exploring the Analytical Processes of Intelligence Analysts

    SciTech Connect

    Chin, George; Kuchar, Olga A.; Wolf, Katherine E.

    2009-04-04

    We present an observational case study in which we investigate and analyze the analytical processes of intelligence analysts. Participating analysts in the study carry out two scenarios where they organize and triage information, conduct intelligence analysis, report results, and collaborate with one another. Through a combination of artifact analyses, group interviews, and participant observations, we explore the space and boundaries in which intelligence analysts work and operate. We also assess the implications of our findings on the use and application of relevant information technologies.

  8. The Federal Conference on Intelligent Processing Equipment

    NASA Technical Reports Server (NTRS)

    1992-01-01

    Research and development projects involving intelligent processing equipment within the following U.S. agencies are addressed: Department of Agriculture, Department of Commerce, Department of Energy, Department of Defense, Environmental Protection Agency, Federal Emergency Management Agency, NASA, National Institutes of Health, and the National Science Foundation.

  9. Artificial intelligence applied to process signal analysis

    NASA Technical Reports Server (NTRS)

    Corsberg, Dan

    1988-01-01

    Many space station processes are highly complex systems subject to sudden, major transients. In any complex process control system, a critical aspect of the human/machine interface is the analysis and display of process information. Human operators can be overwhelmed by large clusters of alarms that inhibit their ability to diagnose and respond to a disturbance. Using artificial intelligence techniques and a knowledge base approach to this problem, the power of the computer can be used to filter and analyze plant sensor data. This will provide operators with a better description of the process state. Once a process state is recognized, automatic action could be initiated and proper system response monitored.

  10. The Effect Of The Materials Based On Multiple Intelligence Theory Upon The Intelligence Groups' Learning Process

    NASA Astrophysics Data System (ADS)

    Oral, I.; Dogan, O.

    2007-04-01

    The aim of this study is to find out the effect of the course materials based on Multiple Intelligence Theory upon the intelligence groups' learning process. In conclusion, the results proved that the materials prepared according to Multiple Intelligence Theory have a considerable effect on the students' learning process. This effect was particularly seen on the student groups of the musical-rhythmic, verbal-linguistic, interpersonal-social and naturalist intelligence.

  11. Intelligent processing equipment projects at DLA

    NASA Astrophysics Data System (ADS)

    Obrien, Donald F.

    1992-04-01

    The Defense Logistics Agency is successfully incorporating Intelligent Processing Equipment (IPE) into each of its Manufacturing Technology thrust areas. Several IPE applications are addressed in the manufacturing of two 'soldier support' items: combat rations and military apparel. In combat rations, in-line sensors for food processing are being developed or modified from other industries. In addition, many process controls are being automated to achieve better quality and to gain higher use (soldier) acceptance. IPE applications in military apparel include: in-process quality controls for identification of sewing defects, use of robots in the manufacture of shirt collars, and automated handling of garments for pressing.

  12. Intelligent Processing Equipment Projects at DLA

    NASA Technical Reports Server (NTRS)

    Obrien, Donald F.

    1992-01-01

    The Defense Logistics Agency is successfully incorporating Intelligent Processing Equipment (IPE) into each of its Manufacturing Technology thrust areas. Several IPE applications are addressed in the manufacturing of two 'soldier support' items: combat rations and military apparel. In combat rations, in-line sensors for food processing are being developed or modified from other industries. In addition, many process controls are being automated to achieve better quality and to gain higher use (soldier) acceptance. IPE applications in military apparel include: in-process quality controls for identification of sewing defects, use of robots in the manufacture of shirt collars, and automated handling of garments for pressing.

  13. PAT: an intelligent authoring tool for facilitating clinical trial design.

    PubMed

    Tagaris, Anastasios; Andronikou, Vassiliki; Karanastasis, Efstathios; Chondrogiannis, Efthymios; Tsirmpas, Charalambos; Varvarigou, Theodora; Koutsouris, Dimitris

    2014-01-01

    Great investments are made by both private and public funds and a wealth of research findings is published, the research and development pipeline phases quite low productivity and tremendous delays. In this paper, we present a novel authoring tool which has been designed and developed for facilitating study design. Its underlying models are based on a thorough analysis of existing clinical trial protocols (CTPs) and eligibility criteria (EC) published in clinicaltrials.gov by domain experts. Moreover, its integration with intelligent decision support services and mechanisms linking the study design process with healthcare patient data as well as its direct access to literature designate it as a powerful tool offering great support to researchers during clinical trial design. PMID:25160332

  14. Intelligent processing for thick composites

    NASA Astrophysics Data System (ADS)

    Shin, Daniel Dong-Ok

    2000-10-01

    Manufacturing thick composite parts are associated with adverse curing conditions such as large in-plane temperature gradient and exotherms. The condition is further aggravated because the manufacturer's cycle and the existing cure control systems do not adequately counter such affects. In response, the forecast-based thermal control system is developed to have better cure control for thick composites. Accurate cure kinetic model is crucial for correctly identifying the amount of heat generated for composite process simulation. A new technique for identifying cure parameters for Hercules AS4/3502 prepreg is presented by normalizing the DSC data. The cure kinetics is based on an autocatalytic model for the proposed method, which uses dynamic and isothermal DSC data to determine its parameters. Existing models are also used to determine kinetic parameters but rendered inadequate because of the material's temperature dependent final degree of cure. The model predictions determined from the new technique showed good agreement to both isothermal and dynamic DSC data. The final degree of cure was also in good agreement with experimental data. A realistic cure simulation model including bleeder ply analysis and compaction is validated with Hercules AS4/3501-6 based laminates. The nonsymmetrical temperature distribution resulting from the presence of bleeder plies agreed well to the model prediction. Some of the discrepancies in the predicted compaction behavior were attributed to inaccurate viscosity and permeability models. The temperature prediction was quite good for the 3cm laminate. The validated process simulation model along with cure kinetics model for AS4/3502 prepreg were integrated into the thermal control system. The 3cm Hercules AS4/3501-6 and AS4/3502 laminate were fabricated. The resulting cure cycles satisfied all imposed requirements by minimizing exotherms and temperature gradient. Although the duration of the cure cycles increased, such phenomena was

  15. Towards A Clinical Tool For Automatic Intelligibility Assessment.

    PubMed

    Berisha, Visar; Utianski, Rene; Liss, Julie

    2013-01-01

    An important, yet under-explored, problem in speech processing is the automatic assessment of intelligibility for pathological speech. In practice, intelligibility assessment is often done through subjective tests administered by speech pathologists; however research has shown that these tests are inconsistent, costly, and exhibit poor reliability. Although some automatic methods for intelligibility assessment for telecommunications exist, research specific to pathological speech has been limited. Here, we propose an algorithm that captures important multi-scale perceptual cues shown to correlate well with intelligibility. Nonlinear classifiers are trained at each time scale and a final intelligibility decision is made using ensemble learning methods from machine learning. Preliminary results indicate a marked improvement in intelligibility assessment over published baseline results. PMID:25004985

  16. Towards A Clinical Tool For Automatic Intelligibility Assessment

    PubMed Central

    Berisha, Visar; Utianski, Rene; Liss, Julie

    2014-01-01

    An important, yet under-explored, problem in speech processing is the automatic assessment of intelligibility for pathological speech. In practice, intelligibility assessment is often done through subjective tests administered by speech pathologists; however research has shown that these tests are inconsistent, costly, and exhibit poor reliability. Although some automatic methods for intelligibility assessment for telecommunications exist, research specific to pathological speech has been limited. Here, we propose an algorithm that captures important multi-scale perceptual cues shown to correlate well with intelligibility. Nonlinear classifiers are trained at each time scale and a final intelligibility decision is made using ensemble learning methods from machine learning. Preliminary results indicate a marked improvement in intelligibility assessment over published baseline results. PMID:25004985

  17. Intelligent processing for metal matrix composites

    NASA Astrophysics Data System (ADS)

    Backman, D. G.; Russell, E. S.; Wei, D. Y.; Pang, Y.

    Intelligent processing of materials (IPM) is a powerful processing concept which requires integration of process knowledge, analytical models, process sensors, and expert system based control technology. An IPM system to manufacture metal matrix composites (MMC) using inductively coupled plasma deposition is under development. Process knowledge is contained in a reduced-order process simulator, consisting of thermal, fluid flow, solid mechanics, and material kinetics models. A working deposit thermal model has been developed, while the solid mechanics and material kinetics models are under development. Future directions for IPM development are discussed, including integration with related MMC processing operations, and establishment of a control system in which expert system based control is used to replicate operator decision-making.

  18. Intelligent systems for KSC ground processing

    NASA Technical Reports Server (NTRS)

    Heard, Astrid E.

    1992-01-01

    The ground processing and launch of Shuttle vehicles and their payloads is the primary task of Kennedy Space Center. It is a process which is largely manual and contains little inherent automation. Business is conducted today much as it was during previous NASA programs such as Apollo. In light of new programs and decreasing budgets, NASA must find more cost effective ways in which to do business while retaining the quality and safety of activities. Advanced technologies including artificial intelligence could cut manpower and processing time. This paper is an overview of the research and development in Al technology at KSC with descriptions of the systems which have been implemented, as well as a few under development which are promising additions to ground processing software. Projects discussed cover many facets of ground processing activities, including computer sustaining engineering, subsystem monitor and diagnosis tools and launch team assistants. The deployed Al applications have proven an effectiveness which has helped to demonstrate the benefits of utilizing intelligent software in the ground processing task.

  19. Information Processing in Cognition Process and New Artificial Intelligent Systems

    NASA Astrophysics Data System (ADS)

    Zheng, Nanning; Xue, Jianru

    In this chapter, we discuss, in depth, visual information processing and a new artificial intelligent (AI) system that is based upon cognitive mechanisms. The relationship between a general model of intelligent systems and cognitive mechanisms is described, and in particular we explore visual information processing with selective attention. We also discuss a methodology for studying the new AI system and propose some important basic research issues that have emerged in the intersecting fields of cognitive science and information science. To this end, a new scheme for associative memory and a new architecture for an AI system with attractors of chaos are addressed.

  20. Clinical and Business Intelligence: Why It's Important to Your Pharmacy.

    PubMed

    Pinto, Brian; Fox, Brent I

    2016-07-01

    According to the Healthcare Information Management and Systems Society, "Clinical & Business Intelligence (C&BI) is the use and analysis of data captured in the healthcare setting to directly inform decision-making" (http://www.himss.org/library/clinical-business-intelligence). Some say that it is the right information given to the right person at the right time in the right way. No matter how you define it, the fact remains that timely access, synthesis, and visualization of clinical data have become key to how health professionals make patient care decisions and improve care delivery. PMID:27559195

  1. Transition from intelligence cycle to intelligence process: the network-centric intelligence in narrow seas

    NASA Astrophysics Data System (ADS)

    Büker, Engin

    2015-05-01

    The defence technologies which have been developing and changing rapidly, today make it difficult to be able to foresee the next environment and spectrum of warfare. When said change and development is looked in specific to the naval operations, it can be said that the possible battlefield and scenarios to be developed in the near and middle terms (5-20 years) are more clarified with compare to other force components. Network Centric Naval Warfare Concept that was developed for the floating, diving and flying fleet platforms which serves away from its own mainland for miles, will keep its significance in the future. Accordingly, Network Centric Intelligence structure completely integrating with the command and control systems will have relatively more importance. This study will firstly try to figure out the transition from the traditional intelligence cycle that is still used in conventional war to Network Centric Intelligence Production Process. In the last part, the use of this new approach on the base of UAV that is alternative to satellite based command control and data transfer systems in the joint operations in narrow seas will be examined, a model suggestion for the use of operative and strategic UAVs which are assured within the scope of the NATO AGS2 for this aim will be brought.

  2. [Revolution of paradigm in clinical diagnosis--from the mechanization to the intelligent being].

    PubMed

    Furukawa, T

    1991-10-01

    The medical advancements, during the 20th century symbolize the industrialization of medical technologies, i.e., many clinical tests are carried out by the highly advanced automated machines. Also, the concept of intelligent processing of clinical diagnosis seems to have been established in the practice. However, it may be an illusion caused from the term artificial intelligence (AI) which attracts the attention of not only specialists of computer science but also clinicians. The essential nature of AI, especially of expert consultation systems is the same as the existing theories, such as Bayes' theorem, Boolean algebra, multivariate statistical analysis, and Fussy theorem, i.e., the evaluation of a weighted sum of multiple parameters. The weak point of these theories is the lack of time parameter. Therefore, the models using a time parameter including physiological simulation, dynamics model, Weibull model and Markov process are important to realize the revolution of clinical diagnosis from the standpoint of intelligent science and technology. PMID:1762180

  3. Intelligent card processing terminal of urban rail transit in Nanjing

    NASA Astrophysics Data System (ADS)

    Xia, Dechuan; Zhang, Xiaojun; Song, Yana; He, Tiejun

    2011-10-01

    In order to improve the compatibility, security and expandability of Automatic Fare Collection System in rail transit, and reduce the maintenance cost, intelligent card processing terminal is proposed in this paper. The operation flow and features of intelligent card processing terminal are analyzed in detailed, and the software and hardware structures and business treatment process are designed. Finally, the security mechanism of intelligent card processing terminal is summarized. The application results shows that Intelligent card processing terminal makes interconnection among lines easier, creates considerable economic efficiency and the social efficiency, and can be widely used.

  4. Processing Speed in Children with Clinical Disorders

    ERIC Educational Resources Information Center

    Calhoun, Susan L.; Mayes, Susan Dickerson

    2005-01-01

    The Processing Speed Index (PSI) was first introduced on the Wechsler Intelligence Scale, Third Edition (WISC-III; D. Wechsler, 1991), and little is known about its clinical significance. In a referred sample (N = 980), children with neurological disorders (ADHD, autism, bipolar disorder, and LD) had mean PSI and Freedom from Distractibility Index…

  5. An intelligent, onboard signal processing payload concept

    SciTech Connect

    Shriver, P. M.; Harikumar, J.; Briles, S. C.; Gokhale, M.

    2003-01-01

    Our approach to onboard processing will enable a quicker return and improved quality of processed data from small, remote-sensing satellites. We describe an intelligent payload concept which processes RF lightning signal data onboard the spacecraft in a power-aware manner. Presently, onboard processing is severely curtailed due to the conventional management of limited resources and power-unaware payload designs. Delays of days to weeks are commonly experienced before raw data is received, processed into a human-usable format, and finally transmitted to the end-user. We enable this resource-critical technology of onboard processing through the concept of Algorithm Power Modulation (APM). APM is a decision process used to execute a specific software algorithm, from a suite of possible algorithms, to make the best use of the available power. The suite of software algorithms chosen for our application is intended to reduce the probability of false alarms through postprocessing. Each algorithm however also has a cost in energy usage. A heuristic decision tree procedure is used which selects an algorithm based on the available power, time allocated, algorithm priority, and algorithm performance. We demonstrate our approach to power-aware onboard processing through a preliminary software simulation.

  6. The application of intelligent process control to space based systems

    NASA Technical Reports Server (NTRS)

    Wakefield, G. Steve

    1990-01-01

    The application of Artificial Intelligence to electronic and process control can help attain the autonomy and safety requirements of manned space systems. An overview of documented applications within various industries is presented. The development process is discussed along with associated issues for implementing an intelligence process control system.

  7. Design of intelligent controllers for exothermal processes

    NASA Astrophysics Data System (ADS)

    Nagarajan, Ramachandran; Yaacob, Sazali

    2001-10-01

    Chemical Industries such as resin or soap manufacturing industries have reaction systems which work with at least two chemicals. Mixing of chemicals even at room temperature can create the process of exothermic reaction. This processes produces a sudden increase of heat energy within the mixture. The quantity of heat and the dynamics of heat generation are unknown, unpredictable and time varying. Proper control of heat has to be accomplished in order to achieve a high quality of product. Uncontrolled or poorly controlled heat causes another unusable product and the process may damage materials and systems and even human being may be harmed. Controlling of heat due to exothermic reaction cannot be achieved using conventional control methods such as PID control, identification and control etc. All of the conventional methods require at least approximate mathematical model of the exothermic process. Modeling an exothermal process is yet to be properly conceived. This paper discusses a design methodology for controlling such a process. A pilot plant of a reaction system has been constructed and utilized for designing and incorporating the proposed fuzzy logic based intelligent controller. Both the conventional and then an adaptive form of fuzzy logic control were used in testing the performance. The test results ensure the effectiveness of controllers in controlling exothermic heat.

  8. Artificial intelligence in the materials processing laboratory

    NASA Technical Reports Server (NTRS)

    Workman, Gary L.; Kaukler, William F.

    1990-01-01

    Materials science and engineering provides a vast arena for applications of artificial intelligence. Advanced materials research is an area in which challenging requirements confront the researcher, from the drawing board through production and into service. Advanced techniques results in the development of new materials for specialized applications. Hand-in-hand with these new materials are also requirements for state-of-the-art inspection methods to determine the integrity or fitness for service of structures fabricated from these materials. Two problems of current interest to the Materials Processing Laboratory at UAH are an expert system to assist in eddy current inspection of graphite epoxy components for aerospace and an expert system to assist in the design of superalloys for high temperature applications. Each project requires a different approach to reach the defined goals. Results to date are described for the eddy current analysis, but only the original concepts and approaches considered are given for the expert system to design superalloys.

  9. The intelligent control of an inert-gas atomization process

    NASA Astrophysics Data System (ADS)

    Osella, S. A.; Ridder, S. D.; Biancaniello, F. S.; Espina, P. I.

    1991-01-01

    Intelligent control is an attempt to specify the function of a controller in ways which mimic the decision-making capabilities of humans. Traditionally, issues relating to the emulation of human-like capabilities have fallen in the domain of artificial intelligence. Intelligent processing is a specific form of intelligent control in which the system to be controlled is a process rather than the more conventional mechanical or electrical system. The National Institute of Standards and Technology's program on intelligent processing of metal powders is a multi-disciplinary research initiative investigating the application of intelligent control technologies to improve the state of the art of metal powder manufacturing. This paper reviews the design of the institute's supersonic inert-gas metal-atomizer control system.

  10. A Research Program on Artificial Intelligence in Process Engineering.

    ERIC Educational Resources Information Center

    Stephanopoulos, George

    1986-01-01

    Discusses the use of artificial intelligence systems in process engineering. Describes a new program at the Massachusetts Institute of Technology which attempts to advance process engineering through technological advances in the areas of artificial intelligence and computers. Identifies the program's hardware facilities, software support,…

  11. Computer-aided diagnosis and artificial intelligence in clinical imaging.

    PubMed

    Shiraishi, Junji; Li, Qiang; Appelbaum, Daniel; Doi, Kunio

    2011-11-01

    Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has already become a part of the routine clinical work for the detection of breast cancer with mammograms. The computer output is used as a "second opinion" in assisting radiologists' image interpretations. The computer algorithm generally consists of several steps that may include image processing, image feature analysis, and data classification via the use of tools such as artificial neural networks (ANN). In this article, we will explore these and other current processes that have come to be referred to as "artificial intelligence." One element of CAD, temporal subtraction, has been applied for enhancing interval changes and for suppressing unchanged structures (eg, normal structures) between 2 successive radiologic images. To reduce misregistration artifacts on the temporal subtraction images, a nonlinear image warping technique for matching the previous image to the current one has been developed. Development of the temporal subtraction method originated with chest radiographs, with the method subsequently being applied to chest computed tomography (CT) and nuclear medicine bone scans. The usefulness of the temporal subtraction method for bone scans was demonstrated by an observer study in which reading times and diagnostic accuracy improved significantly. An additional prospective clinical study verified that the temporal subtraction image could be used as a "second opinion" by radiologists with negligible detrimental effects. ANN was first used in 1990 for computerized differential diagnosis of interstitial lung diseases in CAD. Since then, ANN has been widely used in CAD schemes for the detection and diagnosis of various diseases in different imaging modalities, including the differential diagnosis of lung nodules and interstitial lung diseases in chest radiography, CT, and position emission tomography/CT. It is likely that CAD will be integrated into picture archiving and

  12. Emotional Intelligence and the Career Choice Process.

    ERIC Educational Resources Information Center

    Emmerling, Robert J.; Cherniss, Cary

    2003-01-01

    Emotional intelligence as conceptualized by Mayer and Salovey consists of perceiving emotions, using emotions to facilitate thoughts, understanding emotions, and managing emotions to enhance personal growth. The Multifactor Emotional Intelligence Scale has proven a valid and reliable measure that can be used to explore the implications of…

  13. Intelligent Shimming for Deep Drawing Processes

    NASA Astrophysics Data System (ADS)

    Tommerup, Søren; Endelt, Benny; Danckert, Joachim; Nielsen, Karl Brian

    2011-08-01

    This paper demonstrates the use of an intelligent shimming system to compensate for changes in process output due to tool wear. A new tool concept with integrated hydraulic cavities used as actuators in feedback control system is presented. By prescribing a hydraulic pressure in the individual cavities the blank-holder force distribution can be controlled during the punch stroke. By means of a sequence of numerical simulations abrasive wear is imposed to the deep drawing of a rectangular cup. The abrasive wear is modelled by changing the tool surface geometry using an algorithm based on the sliding energy density. As the tool surfaces are changed the material draw-in is significantly altered when using conventional open-loop control of the blank-holder force. A feed-back controller is presented which is capable of reducing the draw-in difference to a certain degree. Further a learning algorithm is introduced to the system, which is able to improve the response of the feed-back system significantly.

  14. Intelligent Information: A National System for Monitoring Clinical Performance

    PubMed Central

    Bottle, Alex; Aylin, Paul

    2008-01-01

    Objective To use statistical process control charts to monitor in-hospital outcomes at the hospital level for a wide range of procedures and diagnoses. Data Sources Routine English hospital admissions data. Study Design Retrospective analysis using risk-adjusted log-likelihood cumulative sum (CUSUM) charts, comparing each hospital with the national average and its peers for in-hospital mortality, length of stay, and emergency readmission within 28 days. Data Collection Data were derived from the Department of Health administrative hospital admissions database, with monthly uploads from the clearing service. Principal Findings The tool is currently being used by nearly 100 hospitals and also a number of primary care trusts responsible for purchasing hospital care. It monitors around 80 percent of admissions and in-hospital deaths. Case-mix adjustment gives values for the area under the receiver operating characteristic curve between 0.60 and 0.86 for mortality, but the values were poorer for readmission. Conclusions CUSUMs are a promising management tool for managers and clinicians for driving improvement in hospital performance for a range of outcomes, and interactive presentation via a web-based front end has been well received by users. Our methods act as a focus for intelligently directed clinical audit with the real potential to improve outcomes, but wider availability and prospective monitoring are required to fully assess the method's utility. PMID:18300370

  15. MindTrial: An Intelligent System for Clinical Trials

    PubMed Central

    Lee, Yugyung; Dinakarpandian, Deendayal; Katakam, Nikhilesh; Owens, Dennis

    2010-01-01

    The recruitment of human subjects for clinical trials research is a critically important step in the discovery of new cures for diseases. However, the current recruitment methodologies are inherently inefficient. Considerable resources are expended in efforts to recruit adequate numbers of patient volunteers who meet the inclusion/exclusion criteria for clinical trials. Recruitment is particularly challenging for trials involving vulnerable, psychiatrically disordered groups. We have developed a prototype system, called MindTrial, that is based on an online model to enhance the efficiency and quality of recruitment of patients with psychiatric disorders for clinical research. The intelligent component of the MindTrial system can facilitate highly specific matches between clinical trial criteria and volunteers for self-enrollment of sufficient numbers of patient volunteers. We believe this system is particularly valuable in optimizing recruitment for clinical trial studies for development of new drugs. PMID:21347017

  16. The intelligent clinical laboratory as a tool to increase cancer care management productivity.

    PubMed

    Mohammadzadeh, Niloofar; Safdari, Reza

    2014-01-01

    Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity. PMID:24761839

  17. Intelligent Processing Equipment Within the Environmental Protection Agency

    NASA Technical Reports Server (NTRS)

    Greathouse, Daniel G.; Nalesnik, Richard P.

    1992-01-01

    Protection of the environment and environmental remediation requires the cooperation, at all levels, of government and industry. Intelligent processing equipment, in addition to other artificial intelligence based tools, was used by the Environmental Protection Agency to provide personnel safety and improve the efficiency of those responsible for protection and remediation of the environment. These exploratory efforts demonstrate the feasibility and utility of expanding development and widespread use of these tools. A survey of current intelligent processing equipment applications in the Agency is presented and is followed by a brief discussion of possible uses in the future.

  18. INTELLIGENT PROCESSING EQUIPMENT WITHIN THE ENVIRONMENTAL PROTECTION AGENCY

    EPA Science Inventory

    Protection of the environment and environmental remediation requires the cooperation -at all levels- of government and industry. ntelligent processing equipment, in addition to other artificial intelligence based tools, has been used by the Environmental Protection Agency to prov...

  19. Intelligent process quality control system into supply chain

    NASA Astrophysics Data System (ADS)

    Wang, Shijie; Jiang, Xingyu; Wang, Yingchun

    2010-01-01

    To cope with the challenges of monitoring dynamic and variable quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in process quality control. An intelligent process quality control mode into supply chain, which integrated quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running intelligent quality control system, such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including process quality analysis on-line based on similarity process and process quality diagnosis based on Elman and expert system of process quality adjustment. It is basis of realizing network, intelligent and automatic process quality control into supply.

  20. Intelligent process quality control system into supply chain

    NASA Astrophysics Data System (ADS)

    Wang, Shijie; Jiang, Xingyu; Wang, Yingchun

    2009-12-01

    To cope with the challenges of monitoring dynamic and variable quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in process quality control. An intelligent process quality control mode into supply chain, which integrated quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running intelligent quality control system, such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including process quality analysis on-line based on similarity process and process quality diagnosis based on Elman and expert system of process quality adjustment. It is basis of realizing network, intelligent and automatic process quality control into supply.

  1. Got EQ?: Increasing Cultural and Clinical Competence through Emotional Intelligence

    ERIC Educational Resources Information Center

    Robertson, Shari A.

    2007-01-01

    Cultural intelligence has been described across three parameters of human behavior: cognitive intelligence, emotional intelligence (EQ), and physical intelligence. Each contributes a unique and important perspective to the ability of speech-language pathologists and audiologists to provide benefits to their clients regardless of cultural…

  2. Intelligent Testing: Integrating Psychological Theory and Clinical Practice

    ERIC Educational Resources Information Center

    Kaufman, James C., Ed.

    2009-01-01

    The field of intelligence testing has been revolutionized by Alan S. Kaufman. He developed the Wechsler Intelligence Scale for Children-Revised (WISC-R) with David Wechsler, and his best-selling book, Intelligent Testing with the WISC-R, introduced the phrase "intelligent testing." Kaufman, with his wife, Nadeen, then created his own series of…

  3. Relation between spiritual intelligence and clinical competency of nurses in Iran

    PubMed Central

    Karimi-Moonaghi, Hossein; Gazerani, Akram; Vaghee, Saeed; Gholami, Hassan; Salehmoghaddam, Amir Reza; Gharibnavaz, Raheleh

    2015-01-01

    Background: Clinical competency is one of the most important requirements in nursing profession, based on which nurses are assessed. To obtain an effective and improved form of clinical competency, several factors are observed and monitored by the health educational systems. Among these observed factors, spiritual intelligence is considered as one of the most significant factors in nurses’ success and efficacy. In this study, it is aimed to determine the spiritual intelligence status and its relationship with clinical competency. Materials and Methods: The descriptive–correlational research was carried out on 250 nurses in Mashhad educational hospitals, selected by multi-stage sampling. Demographic, clinical competency, and spiritual intelligence questionnaires were used for data collection and 212 questionnaires were analyzed. Results: About 53.3% of nurses obtained above average scores in spiritual intelligence. Clinical competency was evaluated by both self-evaluation and head nurse evaluation methods. Most nurses (53.8%) were having good level of clinical competency based on self-evaluation, 48.2% were at average level based on head nurse evaluation, and 53.3% were at average level based on overall score. A significant correlation was found between spiritual intelligence and clinical competency. Conclusions: In this study, the positive significant correlation between nurses’ spiritual intelligence and their clinical competency is investigated. Because of the positive effects of spiritual intelligence on nurses’ clinical competency and quality of care, it is recommended to develop nurses’ spiritual intelligence during their education and by way of continuous medical education. PMID:26793250

  4. Intelligence.

    PubMed

    Deary, Ian J

    2012-01-01

    Individual differences in human intelligence are of interest to a wide range of psychologists and to many people outside the discipline. This overview of contributions to intelligence research covers the first decade of the twenty-first century. There is a survey of some of the major books that appeared since 2000, at different levels of expertise and from different points of view. Contributions to the phenotype of intelligence differences are discussed, as well as some contributions to causes and consequences of intelligence differences. The major causal issues covered concern the environment and genetics, and how intelligence differences are being mapped to brain differences. The major outcomes discussed are health, education, and socioeconomic status. Aging and intelligence are discussed, as are sex differences in intelligence and whether twins and singletons differ in intelligence. More generally, the degree to which intelligence has become a part of broader research in neuroscience, health, and social science is discussed. PMID:21943169

  5. A Map for Clinical Laboratories Management Indicators in the Intelligent Dashboard

    PubMed Central

    Azadmanjir, Zahra; Torabi, Mashallah; Safdari, Reza; Bayat, Maryam; Golmahi, Fatemeh

    2015-01-01

    Introduction: management challenges of clinical laboratories are more complicated for educational hospital clinical laboratories. Managers can use tools of business intelligence (BI), such as information dashboards that provide the possibility of intelligent decision-making and problem solving about increasing income, reducing spending, utilization management and even improving quality. Critical phase of dashboard design is setting indicators and modeling causal relations between them. The paper describes the process of creating a map for laboratory dashboard. Methods: the study is one part of an action research that begins from 2012 by innovation initiative for implementing laboratory intelligent dashboard. Laboratories management problems were determined in educational hospitals by the brainstorming sessions. Then, with regard to the problems key performance indicators (KPIs) specified. Results: the map of indicators designed in form of three layered. They have a causal relationship so that issues measured in the subsequent layers affect issues measured in the prime layers. Conclusion: the proposed indicator map can be the base of performance monitoring. However, these indicators can be modified to improve during iterations of dashboard designing process. PMID:26483593

  6. FDEMS Sensing for Automated Intelligent Processing of PMR-15

    NASA Technical Reports Server (NTRS)

    Kranbuehl, David E.; Hood, D. K.; Rogozinski, J.; Barksdale, R.; Loos, Alfred C.; McRae, Doug

    1993-01-01

    The purpose of this grant was to develop frequency dependent dielectric measurements, often called FDEMS (frequency dependent electromagnetic sensing), to monitor and intelligently control the cure process in PMR-15, a stoichiometric mixture of a nadic ester, dimethyl ester, and methylendianiline in a monomor ratio.

  7. An intelligent processing environment for real-time simulation

    NASA Technical Reports Server (NTRS)

    Carroll, Chester C.; Wells, Buren Earl, Jr.

    1988-01-01

    The development of a highly efficient and thus truly intelligent processing environment for real-time general purpose simulation of continuous systems is described. Such an environment can be created by mapping the simulation process directly onto the University of Alamba's OPERA architecture. To facilitate this effort, the field of continuous simulation is explored, highlighting areas in which efficiency can be improved. Areas in which parallel processing can be applied are also identified, and several general OPERA type hardware configurations that support improved simulation are investigated. Three direct execution parallel processing environments are introduced, each of which greatly improves efficiency by exploiting distinct areas of the simulation process. These suggested environments are candidate architectures around which a highly intelligent real-time simulation configuration can be developed.

  8. The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes

    PubMed Central

    Checa, Purificación; Fernández-Berrocal, Pablo

    2015-01-01

    The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed. PMID:26648901

  9. The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes.

    PubMed

    Checa, Purificación; Fernández-Berrocal, Pablo

    2015-01-01

    The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed. PMID:26648901

  10. An Or Processing Multiprocessor System For Artificial Intelligence

    NASA Astrophysics Data System (ADS)

    Fu, Hsin-Chia; Chiang, Cheng-Chin

    1989-03-01

    In this paper, an OR-Parallel Execution model based multiprocessor system is proposed. Our OR-parallel execution model addresses the following features: (1) Run-time Intelligent Backtracking, (2) Distributed process control and execution, (3) Minimization of data communication between processors, and (4) Minimization of parallel processing management overhead. Special hardware modules such as Intelligent Backtracking Controller, and Forward Execution Controller are designed to further enhance these features in run-time. A bus connected multiprocessor system is designed to experience the proposed OR-parallel execution model. Recent simulation results indicate that the OR-parallel execution model can be successfully used to conduct the parallel processing of most non-deterministic Prolog applications such as database systems, rule-based expert systems, natural language processing and theorem proving, etc.

  11. Intelligent Signal Processing for Detection System Optimization

    SciTech Connect

    Fu, C Y; Petrich, L I; Daley, P F; Burnham, A K

    2004-06-18

    A wavelet-neural network signal processing method has demonstrated approximately tenfold improvement in the detection limit of various nitrogen and phosphorus compounds over traditional signal-processing methods in analyzing the output of a thermionic detector attached to the output of a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above. In addition, two of six were detected at levels 1/2 the concentration of the nominal threshold. We would have had another two correct hits if we had allowed human intervention to examine the processed data. One apparent false positive in five nulls was traced to a solvent impurity, whose presence was identified by running a solvent aliquot evaporated to 1% residual volume, while the other four nulls were properly classified. We view this signal processing method as broadly applicable in analytical chemistry, and we advocate that advanced signal processing methods be applied as directly as possible to the raw detector output so that less discriminating preprocessing and post-processing does not throw away valuable signal.

  12. Intelligent Signal Processing for Detection System Optimization

    SciTech Connect

    Fu, C Y; Petrich, L I; Daley, P F; Burnham, A K

    2004-12-05

    A wavelet-neural network signal processing method has demonstrated approximately tenfold improvement over traditional signal-processing methods for the detection limit of various nitrogen and phosphorus compounds from the output of a thermionic detector attached to a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above the threshold. In addition, two of six spikes were detected at levels of 1/2 the concentration of the nominal threshold. Another two of the six would have been detected correctly if we had allowed human intervention to examine the processed data. One apparent false positive in five nulls was traced to a solvent impurity, whose presence was subsequently identified by analyzing a solvent aliquot evaporated to 1% residual volume, while the other four nulls were properly classified. We view this signal processing method as broadly applicable in analytical chemistry, and we advocate that advanced signal processing methods should be applied as directly as possible to the raw detector output so that less discriminating preprocessing and post-processing does not throw away valuable signal.

  13. Intelligent Agents for Science Data Processing

    NASA Technical Reports Server (NTRS)

    Golden, Keith

    2003-01-01

    In order to conduct research into global warming, the Earth Observing System Data and Information System (EOSDIS) generates a large and growing volume of data. This viewgraph presentation describes the architecture needed to manage the remote sensing data, and the numerical analysis used to process it.

  14. Speech intelligibility enhancement using hearing-aid array processing.

    PubMed

    Saunders, G H; Kates, J M

    1997-09-01

    Microphone arrays can improve speech recognition in the noise for hearing-impaired listeners by suppressing interference coming from other than desired signal direction. In a previous paper [J. M. Kates and M. R. Weiss, J. Acoust. Soc. Am. 99, 3138-3148 (1996)], several array-processing techniques were evaluated in two rooms using the AI-weighted array gain as the performance metric. The array consisted of five omnidirectional microphones having uniform 2.5-cm spacing, oriented in the endfire direction. In this paper, the speech intelligibility for two of the array processing techniques, delay-and-sum beamforming and superdirective processing, is evaluated for a group of hearing-impaired subjects. Speech intelligibility was measured using the speech reception threshold (SRT) for spondees and speech intelligibility rating (SIR) for sentence materials. The array performance is compared with that for a single omnidirectional microphone and a single directional microphone having a cardioid response pattern. The SRT and SIR results show that the superdirective array processing was the most effective, followed by the cardioid microphone, the array using delay-and-sum beamforming, and the single omnidirectional microphone. The relative processing ratings do not appear to be strongly affected by the size of the room, and the SRT values determined using isolated spondees are similar to the SIR values produced from continuous discourse. PMID:9301060

  15. Emerging methods for the intelligent processing of materials

    NASA Astrophysics Data System (ADS)

    Garrett, P. H.; Jones, J. G.; Moore, D. C.; Malas, J. C.

    1993-10-01

    Emerging methods, procedures, and performance measures are presented for the design of intelligent materials processing systems that combine both comprehensive new process representations and correspondingly advanced process control systems. The description of these developments is presented in five parts. The first provides the partitioning of global processes into decoupled finite subprocesses for improved accommodation of process nonlinearities with accompanying simplification of control system complexity. The second is sensor/controller/actuator accountability to establish an on-line process variability baseline whose greatest sensitivity is attributable to process measurement limitations. Development three combines multiloop control with decoupled subprocesses for enhanced process disorder reduction and improved likelihood of achieving material parameters of interest. The fourth, closely associated with development three, provides accurate multiloop control compensation by identification of decoupled trapezoidal subprocess models. The fifth presents a process description language of qualitative subprocess influences for augmenting incompletely modeled processes and unmeasurable control elements by supervising the control space to minimize control conflicts and process variability.

  16. Sensor fusion for intelligent process control.

    SciTech Connect

    Connors, John J.; Hill, Kevin; Hanekamp, David; Haley, William F.; Gallagher, Robert J.; Gowin, Craig; Farrar, Arthur R.; Sheaffer, Donald A.; DeYoung, Mark A.; Bertram, Lee A.; Dodge, Craig; Binion, Bruce; Walsh, Peter M.; Houf, William G.; Desam, Padmabhushana R.; Tiwary, Rajiv; Stokes, Michael R.; Miller, Alan J.; Michael, Richard W.; Mayer, Raymond M.; Jiao, Yu; Smith, Philip J.; Arbab, Mehran; Hillaire, Robert G.

    2004-08-01

    An integrated system for the fusion of product and process sensors and controls for production of flat glass was envisioned, having as its objective the maximization of throughput and product quality subject to emission limits, furnace refractory wear, and other constraints. Although the project was prematurely terminated, stopping the work short of its goal, the tasks that were completed show the value of the approach and objectives. Though the demonstration was to have been done on a flat glass production line, the approach is applicable to control of production in the other sectors of the glass industry. Furthermore, the system architecture is also applicable in other industries utilizing processes in which product uniformity is determined by ability to control feed composition, mixing, heating and cooling, chemical reactions, and physical processes such as distillation, crystallization, drying, etc. The first phase of the project, with Visteon Automotive Systems as industrial partner, was focused on simulation and control of the glass annealing lehr. That work produced the analysis and computer code that provide the foundation for model-based control of annealing lehrs during steady state operation and through color and thickness changes. In the second phase of the work, with PPG Industries as the industrial partner, the emphasis was on control of temperature and combustion stoichiometry in the melting furnace, to provide a wider operating window, improve product yield, and increase energy efficiency. A program of experiments with the furnace, CFD modeling and simulation, flow measurements, and sensor fusion was undertaken to provide the experimental and theoretical basis for an integrated, model-based control system utilizing the new infrastructure installed at the demonstration site for the purpose. In spite of the fact that the project was terminated during the first year of the second phase of the work, the results of these first steps toward implementation

  17. A conceptual framework for intelligent real-time information processing

    NASA Technical Reports Server (NTRS)

    Schudy, Robert

    1987-01-01

    By combining artificial intelligence concepts with the human information processing model of Rasmussen, a conceptual framework was developed for real time artificial intelligence systems which provides a foundation for system organization, control and validation. The approach is based on the description of system processing terms of an abstraction hierarchy of states of knowledge. The states of knowledge are organized along one dimension which corresponds to the extent to which the concepts are expressed in terms of the system inouts or in terms of the system response. Thus organized, the useful states form a generally triangular shape with the sensors and effectors forming the lower two vertices and the full evaluated set of courses of action the apex. Within the triangle boundaries are numerous processing paths which shortcut the detailed processing, by connecting incomplete levels of analysis to partially defined responses. Shortcuts at different levels of abstraction include reflexes, sensory motor control, rule based behavior, and satisficing. This approach was used in the design of a real time tactical decision aiding system, and in defining an intelligent aiding system for transport pilots.

  18. Use of artificial intelligence in analytical systems for the clinical laboratory.

    PubMed

    Place, J F; Truchaud, A; Ozawa, K; Pardue, H; Schnipelsky, P

    1995-01-01

    The incorporation of information-processing technology into analytical systems in the form of standard computing software has recently been advanced by the introduction of artificial intelligence (AI), both as expert systems and as neural networks.This paper considers the role of software in system operation, control and automation, and attempts to define intelligence. AI is characterized by its ability to deal with incomplete and imprecise information and to accumulate knowledge. Expert systems, building on standard computing techniques, depend heavily on the domain experts and knowledge engineers that have programmed them to represent the real world. Neural networks are intended to emulate the pattern-recognition and parallel processing capabilities of the human brain and are taught rather than programmed. The future may lie in a combination of the recognition ability of the neural network and the rationalization capability of the expert system.In the second part of the paper, examples are given of applications of AI in stand-alone systems for knowledge engineering and medical diagnosis and in embedded systems for failure detection, image analysis, user interfacing, natural language processing, robotics and machine learning, as related to clinical laboratories.It is concluded that AI constitutes a collective form of intellectual propery, and that there is a need for better documentation, evaluation and regulation of the systems already being used in clinical laboratories. PMID:18924784

  19. Intelligent laser soldering inspection and process control

    NASA Technical Reports Server (NTRS)

    Vanzetti, Riccardo

    1987-01-01

    Component assembly on printed circuitry keeps making giant strides toward denser packaging and smaller dimensions. From a single layer to multilayer, from through holes to surface mounted components and tape applied bonds, unrelenting progress results in new, difficult problems in assembling, soldering, inspecting and controlling the manufacturing process of the new electronics. Among the major problems are the variables introduced by human operators. The small dimensions and the tight assembly tolerances are now successfully met by machines which are faster and more precise than the human hand. The same is true for soldering. But visual inspection of the solder joints is now so severely limited by the ever shrinking area accessible to the human eye that the inspector's diagnosis cannot be trusted any longer. Solutions to correcting these problems are discussed.

  20. Intelligent elevator management system using image processing

    NASA Astrophysics Data System (ADS)

    Narayanan, H. Sai; Karunamurthy, Vignesh; Kumar, R. Barath

    2015-03-01

    In the modern era, the increase in the number of shopping malls and industrial building has led to an exponential increase in the usage of elevator systems. Thus there is an increased need for an effective control system to manage the elevator system. This paper is aimed at introducing an effective method to control the movement of the elevators by considering various cases where in the location of the person is found and the elevators are controlled based on various conditions like Load, proximity etc... This method continuously monitors the weight limit of each elevator while also making use of image processing to determine the number of persons waiting for an elevator in respective floors. Canny edge detection technique is used to find out the number of persons waiting for an elevator. Hence the algorithm takes a lot of cases into account and locates the correct elevator to service the respective persons waiting in different floors.

  1. Artificial intelligence, expert systems, computer vision, and natural language processing

    NASA Technical Reports Server (NTRS)

    Gevarter, W. B.

    1984-01-01

    An overview of artificial intelligence (AI), its core ingredients, and its applications is presented. The knowledge representation, logic, problem solving approaches, languages, and computers pertaining to AI are examined, and the state of the art in AI is reviewed. The use of AI in expert systems, computer vision, natural language processing, speech recognition and understanding, speech synthesis, problem solving, and planning is examined. Basic AI topics, including automation, search-oriented problem solving, knowledge representation, and computational logic, are discussed.

  2. An intelligent allocation algorithm for parallel processing

    NASA Technical Reports Server (NTRS)

    Carroll, Chester C.; Homaifar, Abdollah; Ananthram, Kishan G.

    1988-01-01

    The problem of allocating nodes of a program graph to processors in a parallel processing architecture is considered. The algorithm is based on critical path analysis, some allocation heuristics, and the execution granularity of nodes in a program graph. These factors, and the structure of interprocessor communication network, influence the allocation. To achieve realistic estimations of the executive durations of allocations, the algorithm considers the fact that nodes in a program graph have to communicate through varying numbers of tokens. Coarse and fine granularities have been implemented, with interprocessor token-communication duration, varying from zero up to values comparable to the execution durations of individual nodes. The effect on allocation of communication network structures is demonstrated by performing allocations for crossbar (non-blocking) and star (blocking) networks. The algorithm assumes the availability of as many processors as it needs for the optimal allocation of any program graph. Hence, the focus of allocation has been on varying token-communication durations rather than varying the number of processors. The algorithm always utilizes as many processors as necessary for the optimal allocation of any program graph, depending upon granularity and characteristics of the interprocessor communication network.

  3. Working memory and intelligibility of hearing-aid processed speech.

    PubMed

    Souza, Pamela E; Arehart, Kathryn H; Shen, Jing; Anderson, Melinda; Kates, James M

    2015-01-01

    Previous work suggested that individuals with low working memory capacity may be at a disadvantage in adverse listening environments, including situations with background noise or substantial modification of the acoustic signal. This study explored the relationship between patient factors (including working memory capacity) and intelligibility and quality of modified speech for older individuals with sensorineural hearing loss. The modification was created using a combination of hearing aid processing [wide-dynamic range compression (WDRC) and frequency compression (FC)] applied to sentences in multitalker babble. The extent of signal modification was quantified via an envelope fidelity index. We also explored the contribution of components of working memory by including measures of processing speed and executive function. We hypothesized that listeners with low working memory capacity would perform more poorly than those with high working memory capacity across all situations, and would also be differentially affected by high amounts of signal modification. Results showed a significant effect of working memory capacity for speech intelligibility, and an interaction between working memory, amount of hearing loss and signal modification. Signal modification was the major predictor of quality ratings. These data add to the literature on hearing-aid processing and working memory by suggesting that the working memory-intelligibility effects may be related to aggregate signal fidelity, rather than to the specific signal manipulation. They also suggest that for individuals with low working memory capacity, sensorineural loss may be most appropriately addressed with WDRC and/or FC parameters that maintain the fidelity of the signal envelope. PMID:25999874

  4. Working memory and intelligibility of hearing-aid processed speech

    PubMed Central

    Souza, Pamela E.; Arehart, Kathryn H.; Shen, Jing; Anderson, Melinda; Kates, James M.

    2015-01-01

    Previous work suggested that individuals with low working memory capacity may be at a disadvantage in adverse listening environments, including situations with background noise or substantial modification of the acoustic signal. This study explored the relationship between patient factors (including working memory capacity) and intelligibility and quality of modified speech for older individuals with sensorineural hearing loss. The modification was created using a combination of hearing aid processing [wide-dynamic range compression (WDRC) and frequency compression (FC)] applied to sentences in multitalker babble. The extent of signal modification was quantified via an envelope fidelity index. We also explored the contribution of components of working memory by including measures of processing speed and executive function. We hypothesized that listeners with low working memory capacity would perform more poorly than those with high working memory capacity across all situations, and would also be differentially affected by high amounts of signal modification. Results showed a significant effect of working memory capacity for speech intelligibility, and an interaction between working memory, amount of hearing loss and signal modification. Signal modification was the major predictor of quality ratings. These data add to the literature on hearing-aid processing and working memory by suggesting that the working memory-intelligibility effects may be related to aggregate signal fidelity, rather than to the specific signal manipulation. They also suggest that for individuals with low working memory capacity, sensorineural loss may be most appropriately addressed with WDRC and/or FC parameters that maintain the fidelity of the signal envelope. PMID:25999874

  5. Intelligence.

    PubMed

    Sternberg, Robert J

    2012-09-01

    Intelligence is the ability to learn from past experience and, in general, to adapt to, shape, and select environments. Aspects of intelligence are measured by standardized tests of intelligence. Average raw (number-correct) scores on such tests vary across the life span and also across generations, as well as across ethnic and socioeconomic groups. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex. Measured values correlate with brain size, at least within humans. The heritability coefficient (ratio of genetic to phenotypic variation) is between 0.4 and 0.8. But genes always express themselves through environment. Heritability varies as a function of a number of factors, including socioeconomic status and range of environments. Racial-group differences in measured intelligence have been reported, but race is a socially constructed rather than biological variable. As a result, these differences are difficult to interpret. Different cultures have different conceptions of the nature of intelligence, and also require different skills in order to express intelligence in the environment. WIREs Cogn Sci 2012 doi: 10.1002/wcs.1193 For further resources related to this article, please visit the WIREs website. PMID:26302705

  6. Processing of x-ray image in the intelligent setting system for fracture

    NASA Astrophysics Data System (ADS)

    Zheng, Wei; Zhang, Liyong; Liu, Sijiu; Yu, Zhiguo

    2006-11-01

    Intelligent setting system based on biomechanics and bone fracture therapy can accomplish micro-wound, intelligence and high efficiency of fracture setting. X-ray images grabbed by C-shape-arm X-ray machine supply the most key data for intelligent setting. Processing, analysis and transmission security of the image is the core in the system. According to characteristics being shown in three dimensions gray distribution figure and frequency spectrum of the image, histogram equalization in space domain and homomorphic filtering in frequency domain are separately proposed to enhance contrast and sharpness. On the foundation of mining orthopedics experts experience knowledge, setting for femoral-neck fracture is turned into three in-continuous operations that are reflected in the X-ray images through nine points, six lines, two angles and one distance and that are able to be implemented by mechanical manipulator and control device in the system. Master-slave reference frame is put forward to supply a stable reference standard to calculate parameters. Encryption method based on chaos dynamics system is brought forward to ensure image information security in the process of telemedicine intelligent setting for fracture. Clinic experience proved that the system can help orthopedists to correctly and reliably complete setting for bone fracture.

  7. Developing an intelligence analysis process through social network analysis

    NASA Astrophysics Data System (ADS)

    Waskiewicz, Todd; LaMonica, Peter

    2008-04-01

    Intelligence analysts are tasked with making sense of enormous amounts of data and gaining an awareness of a situation that can be acted upon. This process can be extremely difficult and time consuming. Trying to differentiate between important pieces of information and extraneous data only complicates the problem. When dealing with data containing entities and relationships, social network analysis (SNA) techniques can be employed to make this job easier. Applying network measures to social network graphs can identify the most significant nodes (entities) and edges (relationships) and help the analyst further focus on key areas of concern. Strange developed a model that identifies high value targets such as centers of gravity and critical vulnerabilities. SNA lends itself to the discovery of these high value targets and the Air Force Research Laboratory (AFRL) has investigated several network measures such as centrality, betweenness, and grouping to identify centers of gravity and critical vulnerabilities. Using these network measures, a process for the intelligence analyst has been developed to aid analysts in identifying points of tactical emphasis. Organizational Risk Analyzer (ORA) and Terrorist Modus Operandi Discovery System (TMODS) are the two applications used to compute the network measures and identify the points to be acted upon. Therefore, the result of leveraging social network analysis techniques and applications will provide the analyst and the intelligence community with more focused and concentrated analysis results allowing them to more easily exploit key attributes of a network, thus saving time, money, and manpower.

  8. Image processing of false identity documents for forensic intelligence.

    PubMed

    Talbot-Wright, Benjamin; Baechler, Simon; Morelato, Marie; Ribaux, Olivier; Roux, Claude

    2016-06-01

    Forensic intelligence has recently gathered increasing attention as a potential expansion of forensic science that may contribute in a wider policing and security context. Whilst the new avenue is certainly promising, relatively few attempts to incorporate models, methods and techniques into practical projects are reported. This work reports a practical application of a generalised and transversal framework for developing forensic intelligence processes referred to here as the Transversal model adapted from previous work. Visual features present in the images of four datasets of false identity documents were systematically profiled and compared using image processing for the detection of a series of modus operandi (M.O.) actions. The nature of these series and their relation to the notion of common source was evaluated with respect to alternative known information and inferences drawn regarding respective crime systems. 439 documents seized by police and border guard authorities across 10 jurisdictions in Switzerland with known and unknown source level links formed the datasets for this study. Training sets were developed based on both known source level data, and visually supported relationships. Performance was evaluated through the use of intra-variability and inter-variability scores drawn from over 48,000 comparisons. The optimised method exhibited significant sensitivity combined with strong specificity and demonstrates its ability to support forensic intelligence efforts. PMID:27081791

  9. Intelligent On-Board Processing in the Sensor Web

    NASA Astrophysics Data System (ADS)

    Tanner, S.

    2005-12-01

    Most existing sensing systems are designed as passive, independent observers. They are rarely aware of the phenomena they observe, and are even less likely to be aware of what other sensors are observing within the same environment. Increasingly, intelligent processing of sensor data is taking place in real-time, using computing resources on-board the sensor or the platform itself. One can imagine a sensor network consisting of intelligent and autonomous space-borne, airborne, and ground-based sensors. These sensors will act independently of one another, yet each will be capable of both publishing and receiving sensor information, observations, and alerts among other sensors in the network. Furthermore, these sensors will be capable of acting upon this information, perhaps altering acquisition properties of their instruments, changing the location of their platform, or updating processing strategies for their own observations to provide responsive information or additional alerts. Such autonomous and intelligent sensor networking capabilities provide significant benefits for collections of heterogeneous sensors within any environment. They are crucial for multi-sensor observations and surveillance, where real-time communication with external components and users may be inhibited, and the environment may be hostile. In all environments, mission automation and communication capabilities among disparate sensors will enable quicker response to interesting, rare, or unexpected events. Additionally, an intelligent network of heterogeneous sensors provides the advantage that all of the sensors can benefit from the unique capabilities of each sensor in the network. The University of Alabama in Huntsville (UAH) is developing a unique approach to data processing, integration and mining through the use of the Adaptive On-Board Data Processing (AODP) framework. AODP is a key foundation technology for autonomous internetworking capabilities to support situational awareness by

  10. Intelligence

    PubMed Central

    Sternberg, Robert J.

    2012-01-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

  11. Intelligence.

    PubMed

    Sternberg, Robert J

    2012-03-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

  12. Quantity Intelligent Reckoning for Packaged Granary Grain Based Onimage Processing

    NASA Astrophysics Data System (ADS)

    Lin, Ying; Liu, Yong; Sun, Yueheng; Sun, Yanhong

    This paper presents a quantity intelligent reckoning approach for packaged granary grain based on image processing. The actual scene video was taken as the analysis object, and the dual-threshold Canny operator and the morphology processing method are used to extract the object grain bags’ characteristic outline-- the boundary of the counter-band of light. Then, a counting algorithm which integrates mode theory and variance analysis technology is presented for the quantity second-judgment. Experimental results show that by accurately extracting the characteristic outline and counting the number of the characteristic outline, the algorithm presents an effective method for grain quantity detection with high recognition precision and efficiency.

  13. Quantity Intelligent Reckoning for Packaged Granary Grain Based Onimage Processing

    NASA Astrophysics Data System (ADS)

    Lin, Ying; Liu, Yong; Sun, Yueheng; Sun, Yanhong

    This paper presents a quantity intelligent reckoning approach for packaged granary grain based on image processing. The actual scene video was taken as the analysis object, and the dual-threshold Canny operator and the morphology processing method are used to extract the object grain bags' characteristic outline-- the boundary of the counter-band of light. Then, a counting algorithm which integrates mode theory and variance analysis technology is presented for the quantity second-judgment. Experimental results show that by accurately extracting the characteristic outline and counting the number of the characteristic outline, the algorithm presents an effective method for grain quantity detection with high recognition precision and efficiency.

  14. Intelligent processing equipment research supported by the National Science Foundation

    NASA Astrophysics Data System (ADS)

    Rao, Suren B.

    1992-04-01

    The research in progress on processes, workstations, and systems has the goal of developing a high level of understanding of the issues involved. This will enable the incorporation of a level of intelligence that will allow the creation of autonomous manufacturing systems that operate in an optimum manner, under a wide range of conditions. The emphasis of the research has been on the development of highly productive and flexible techniques to address current and future problems in manufacturing and processing. Several of these projects have resulted in well-defined and established models that can now be implemented in the application arena in the next few years.

  15. Intelligent Processing Equipment Research Supported by the National Science Foundation

    NASA Technical Reports Server (NTRS)

    Rao, Suren B.

    1992-01-01

    The research in progress on processes, workstations, and systems has the goal of developing a high level of understanding of the issues involved. This will enable the incorporation of a level of intelligence that will allow the creation of autonomous manufacturing systems that operate in an optimum manner, under a wide range of conditions. The emphasis of the research has been on the development of highly productive and flexible techniques to address current and future problems in manufacturing and processing. Several of these projects have resulted in well-defined and established models that can now be implemented in the application arena in the next few years.

  16. Ramp Technology and Intelligent Processing in Small Manufacturing

    NASA Technical Reports Server (NTRS)

    Rentz, Richard E.

    1992-01-01

    To address the issues of excessive inventories and increasing procurement lead times, the Navy is actively pursuing flexible computer integrated manufacturing (FCIM) technologies, integrated by communication networks to respond rapidly to its requirements for parts. The Rapid Acquisition of Manufactured Parts (RAMP) program, initiated in 1986, is an integral part of this effort. The RAMP program's goal is to reduce the current average production lead times experienced by the Navy's inventory control points by a factor of 90 percent. The manufacturing engineering component of the RAMP architecture utilizes an intelligent processing technology built around a knowledge-based shell provided by ICAD, Inc. Rules and data bases in the software simulate an expert manufacturing planner's knowledge of shop processes and equipment. This expert system can use Product Data Exchange using STEP (PDES) data to determine what features the required part has, what material is required to manufacture it, what machines and tools are needed, and how the part should be held (fixtured) for machining, among other factors. The program's rule base then indicates, for example, how to make each feature, in what order to make it, and to which machines on the shop floor the part should be routed for processing. This information becomes part of the shop work order. The process planning function under RAMP greatly reduces the time and effort required to complete a process plan. Since the PDES file that drives the intelligent processing is 100 percent complete and accurate to start with, the potential for costly errors is greatly diminished.

  17. Clinical-HINTS: integrated intelligent ICU patient monitoring and information management system.

    PubMed

    Kalogeropoulos, D; Carson, E R; Collinson, P O

    1997-01-01

    Clinical-HINTS (Health Intelligence System) is a horizontally integrated decision support system (DSS) designed to meet the requirements for intelligent real-time clinical information management in critical care medical environments and to lay the foundation for the development of the next generation of intelligent medical instrumentation. The system presented was developed to refine and complement the information yielded by clinical laboratory investigations, thereby benefiting the management of the intensive care unit (ICU) patient. More specifically, Clinical-HINTS was developed to provide computer-based assistance with the acquisition, organisation and display, storage and retrieval, communication and generation of real-time patient-specific clinical information in an ICU. Clinical-HINTS is an object-oriented system developed in C+2 to run under Microsoft Windows as an embryo intelligent agent. Current generic reasoning skills include perception and reactive cognition of patient status but exclude therapeutic action. The system monitors the patient by communicating with the available sources of data and uses generic reasoning skills to generate intelligent alarms, or HINTS, on various levels of interpretation of an observed dysfunction, even in the presence of complex disorders. The system's communication and information management capabilities are used to acquire physiological data, and to store them along with their interpretations and any interventions for the dynamic recognition of interrelated pathophysiological states or clinical events. PMID:10179800

  18. Process Orchestration With Modular Software Applications On Intelligent Field Devices

    NASA Astrophysics Data System (ADS)

    Orfgen, Marius; Schmitt, Mathias

    2015-07-01

    The method developed by the DFKI-IFS for extending the functionality of intelligent field devices through the use of reloadable software applications (so-called Apps) is to be further augmented with a methodology and communication concept for process orchestration. The concept allows individual Apps from different manufacturers to decentrally share information. This way of communicating forms the basis for the dynamic orchestration of Apps to complete processes, in that it allows the actions of one App (e.g. detecting a component part with a sensor App) to trigger reactions in other Apps (e.g. triggering the processing of that component part). A holistic methodology and its implementation as a configuration tool allows one to model the information flow between Apps, as well as automatically introduce it into physical production hardware via available interfaces provided by the Field Device Middleware. Consequently, configuring industrial facilities is made simpler, resulting in shorter changeover and shutdown times.

  19. Ambient intelligence for monitoring and research in clinical neurophysiology and medicine: the MIMERICA* project and prototype.

    PubMed

    Pignolo, L; Riganello, F; Dolce, G; Sannita, W G

    2013-04-01

    Ambient Intelligence (AmI) provides extended but unobtrusive sensing and computing devices and ubiquitous networking for human/environment interaction. It is a new paradigm in information technology compliant with the international Integrating Healthcare Enterprise board (IHE) and eHealth HL7 technological standards in the functional integration of biomedical domotics and informatics in hospital and home care. AmI allows real-time automatic recording of biological/medical information and environmental data. It is extensively applicable to patient monitoring, medicine and neuroscience research, which require large biomedical data sets; for example, in the study of spontaneous or condition-dependent variability or chronobiology. In this respect, AML is equivalent to a traditional laboratory for data collection and processing, with minimal dedicated equipment, staff, and costs; it benefits from the integration of artificial intelligence technology with traditional/innovative sensors to monitor clinical or functional parameters. A prototype AmI platform (MIMERICA*) has been implemented and is operated in a semi-intensive unit for the vegetative and minimally conscious states, to investigate the spontaneous or environment-related fluctuations of physiological parameters in these conditions. PMID:23545248

  20. Integrating artificial and human intelligence into tablet production process.

    PubMed

    Gams, Matjaž; Horvat, Matej; Ožek, Matej; Luštrek, Mitja; Gradišek, Anton

    2014-12-01

    We developed a new machine learning-based method in order to facilitate the manufacturing processes of pharmaceutical products, such as tablets, in accordance with the Process Analytical Technology (PAT) and Quality by Design (QbD) initiatives. Our approach combines the data, available from prior production runs, with machine learning algorithms that are assisted by a human operator with expert knowledge of the production process. The process parameters encompass those that relate to the attributes of the precursor raw materials and those that relate to the manufacturing process itself. During manufacturing, our method allows production operator to inspect the impacts of various settings of process parameters within their proven acceptable range with the purpose of choosing the most promising values in advance of the actual batch manufacture. The interaction between the human operator and the artificial intelligence system provides improved performance and quality. We successfully implemented the method on data provided by a pharmaceutical company for a particular product, a tablet, under development. We tested the accuracy of the method in comparison with some other machine learning approaches. The method is especially suitable for analyzing manufacturing processes characterized by a limited amount of data. PMID:24970587

  1. Artificial Intelligence and Expert Systems: Will They Change the Library? Papers Presented at the Annual Clinic on Library Applications of Data Processing (27th, Urbana, Illinois, March 25-27, 1990). Illinois, March 25-27, 1990).

    ERIC Educational Resources Information Center

    Lancaster, F. W., Ed.; Smith, Linda C., Ed.

    Some of the 12 conference papers presented in this proceedings focus on the present and potential capabilities of artificial intelligence and expert systems as they relate to a wide range of library applications, including descriptive cataloging, technical services, collection development, subject indexing, reference services, database searching,…

  2. US Department of Energy's Efforts in Intelligent Processing Equipment

    NASA Technical Reports Server (NTRS)

    Peavy, Richard D.; Mcfarland, Janet C.

    1992-01-01

    The Department of Energy (DOE) uses intelligent processing equipment (IPE) technologies to conduct research and development and manufacturing for energy and nuclear weapons programs. This paper highlights several significant IPE efforts underway in DOE. IPE technologies are essential to the accomplishment of DOE's missions, because of the need for small lot production, precision, and accuracy in manufacturing, hazardous waste management, and protection of the environment and the safety and health of the workforce and public. Applications of IPE technologies include environmental remediation and waste handling, advanced manufacturing, and automation of tasks carried out in hazardous areas. DOE laboratories have several key programs that integrate robotics, sensor, and control technologies. These programs embody a considerable technical capability that also may be used to enhance U.S. industrial competitiveness. DOE encourages closer cooperation with U.S. industrial partners based on mutual benefits. This paper briefly describes technology transfer mechanisms available for industrial involvement.

  3. Parameter tuning of PVD process based on artificial intelligence technique

    NASA Astrophysics Data System (ADS)

    Norlina, M. S.; Diyana, M. S. Nor; Mazidah, P.; Rusop, M.

    2016-07-01

    In this study, an artificial intelligence technique is proposed to be implemented in the parameter tuning of a PVD process. Due to its previous adaptation in similar optimization problems, genetic algorithm (GA) is selected to optimize the parameter tuning of the RF magnetron sputtering process. The most optimized parameter combination obtained from GA's optimization result is expected to produce the desirable zinc oxide (ZnO) thin film from the sputtering process. The parameters involved in this study were RF power, deposition time and substrate temperature. The algorithm was tested to optimize the 25 datasets of parameter combinations. The results from the computational experiment were then compared with the actual result from the laboratory experiment. Based on the comparison, GA had shown that the algorithm was reliable to optimize the parameter combination before the parameter tuning could be done to the RF magnetron sputtering machine. In order to verify the result of GA, the algorithm was also been compared to other well known optimization algorithms, which were, particle swarm optimization (PSO) and gravitational search algorithm (GSA). The results had shown that GA was reliable in solving this RF magnetron sputtering process parameter tuning problem. GA had shown better accuracy in the optimization based on the fitness evaluation.

  4. Natural language processing in an intelligent writing strategy tutoring system.

    PubMed

    McNamara, Danielle S; Crossley, Scott A; Roscoe, Rod

    2013-06-01

    The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must consider a broad array of linguistic, rhetorical, and contextual features. This study assesses the potential for computational indices to predict human ratings of essay quality. Past studies have demonstrated that linguistic indices related to lexical diversity, word frequency, and syntactic complexity are significant predictors of human judgments of essay quality but that indices of cohesion are not. The present study extends prior work by including a larger data sample and an expanded set of indices to assess new lexical, syntactic, cohesion, rhetorical, and reading ease indices. Three models were assessed. The model reported by McNamara, Crossley, and McCarthy (Written Communication 27:57-86, 2010) including three indices of lexical diversity, word frequency, and syntactic complexity accounted for only 6% of the variance in the larger data set. A regression model including the full set of indices examined in prior studies of writing predicted 38% of the variance in human scores of essay quality with 91% adjacent accuracy (i.e., within 1 point). A regression model that also included new indices related to rhetoric and cohesion predicted 44% of the variance with 94% adjacent accuracy. The new indices increased accuracy but, more importantly, afford the means to provide more meaningful feedback in the context of a writing tutoring system. PMID:23055164

  5. ISMAC: An Intelligent System for Customized Clinical Case Management and Analysis

    PubMed Central

    You, Mingyu; Chen, Chong; Li, Guo-Zheng; Yan, Shi-Xing; Sun, Sheng; Zeng, Xue-Qiang; Zhao, Qing-Ce; Xu, Liao-Yu; Huang, Su-Ying

    2015-01-01

    Clinical cases are primary and vital evidence for Traditional Chinese Medicine (TCM) clinical research. A great deal of medical knowledge is hidden in the clinical cases of the highly experienced TCM practitioner. With a deep Chinese culture background and years of clinical experience, an experienced TCM specialist usually has his or her unique clinical pattern and diagnosis idea. Preserving huge clinical cases of experienced TCM practitioners as well as exploring the inherent knowledge is then an important but arduous task. The novel system ISMAC (Intelligent System for Management and Analysis of Clinical Cases in TCM) is designed and implemented for customized management and intelligent analysis of TCM clinical data. Customized templates with standard and expert-standard symptoms, diseases, syndromes, and Chinese Medince Formula (CMF) are constructed in ISMAC, according to the clinical diagnosis and treatment characteristic of each TCM specialist. With these templates, clinical cases are archived in order to maintain their original characteristics. Varying data analysis and mining methods, grouped as Basic Analysis, Association Rule, Feature Reduction, Cluster, Pattern Classification, and Pattern Prediction, are implemented in the system. With a flexible dataset retrieval mechanism, ISMAC is a powerful and convenient system for clinical case analysis and clinical knowledge discovery. PMID:26495425

  6. The Relationship between Emotional Intelligence, Self-Efficacy, and Clinical Performance in Associate Degree Nursing Students

    ERIC Educational Resources Information Center

    Rice, Eileen W.

    2013-01-01

    The purpose of this study was to explore self-efficacy, an individual's beliefs about his or her ability to perform a series of tasks, and emotional intelligence, an individual's ability to perceive, use, understand, and manage emotions, as predictors for successful clinical performance in nursing students. The participants were 49 female and 7…

  7. The Nature of Social Intelligence: Processes and Outcomes.

    ERIC Educational Resources Information Center

    Ford, Martin E.

    Although many people have studied social intelligence and theorized about it over the past 60 years, no one has been able to provide a clear picture of its nature. Traditional methods have overemphasized the social-cognitive outcomes of human functioning instead of social-behavioral outcomes. Two approaches used to study social intelligence can be…

  8. Developmental Process Model for the Java Intelligent Tutoring System

    ERIC Educational Resources Information Center

    Sykes, Edward

    2007-01-01

    The Java Intelligent Tutoring System (JITS) was designed and developed to support the growing trend of Java programming around the world. JITS is an advanced web-based personalized tutoring system that is unique in several ways. Most programming Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS,…

  9. Sensor Driven Intelligent Control System For Plasma Processing

    SciTech Connect

    Bell, G.; Campbell, V.B.

    1998-02-23

    This Cooperative Research and Development Agreement (CRADA) between Innovative Computing Technologies, Inc. (IC Tech) and Martin Marietta Energy Systems (MMES) was undertaken to contribute to improved process control for microelectronic device fabrication. Process data from an amorphous silicon thin film deposition experiment was acquired to validate the performance of an intelligent, adaptive, neurally-inspired control software module designed to provide closed loop control of plasma processing machines used in the microelectronics industry. Data acquisition software was written using LabView The data was collected from an inductively coupled plasma (ICP) source, which was available for this project through LMES's RF/Microwave Technology Center. Experimental parameters measured were RF power, RF current and voltage on the antenna delivering power to the plasma, hydrogen and silane flow rate, chamber pressure, substrate temperature and H-alpha optical emission. Experimental results obtained were poly-crystallin silicon deposition rate, crystallinity, crystallographic orientation and electrical conductivity. Owing to experimental delays resulting from hardware failures, it was not possible to assemble a complete data for IC Tech use within the time and resource constraints of the CRADA. IC Tech was therefore not able to verify the performance of their existing models and control structures and validate model performance under this CRADA.

  10. Creating "Intelligent" Ensemble Averages Using a Process-Based Framework

    NASA Astrophysics Data System (ADS)

    Baker, Noel; Taylor, Patrick

    2014-05-01

    The CMIP5 archive contains future climate projections from over 50 models provided by dozens of modeling centers from around the world. Individual model projections, however, are subject to biases created by structural model uncertainties. As a result, ensemble averaging of multiple models is used to add value to individual model projections and construct a consensus projection. Previous reports for the IPCC establish climate change projections based on an equal-weighted average of all model projections. However, individual models reproduce certain climate processes better than other models. Should models be weighted based on performance? Unequal ensemble averages have previously been constructed using a variety of mean state metrics. What metrics are most relevant for constraining future climate projections? This project develops a framework for systematically testing metrics in models to identify optimal metrics for unequal weighting multi-model ensembles. The intention is to produce improved ("intelligent") unequal-weight ensemble averages. A unique aspect of this project is the construction and testing of climate process-based model evaluation metrics. A climate process-based metric is defined as a metric based on the relationship between two physically related climate variables—e.g., outgoing longwave radiation and surface temperature. Several climate process metrics are constructed using high-quality Earth radiation budget data from NASA's Clouds and Earth's Radiant Energy System (CERES) instrument in combination with surface temperature data sets. It is found that regional values of tested quantities can vary significantly when comparing the equal-weighted ensemble average and an ensemble weighted using the process-based metric. Additionally, this study investigates the dependence of the metric weighting scheme on the climate state using a combination of model simulations including a non-forced preindustrial control experiment, historical simulations, and

  11. What is the relationship between emotional intelligence and dental student clinical performance?

    PubMed

    Victoroff, Kristin Zakariasen; Boyatzis, Richard E

    2013-04-01

    Emotional intelligence has emerged as a key factor in differentiating average from outstanding performers in managerial and leadership positions across multiple business settings, but relatively few studies have examined the role of emotional intelligence in the health care professions. The purpose of this study was to examine the relationship between emotional intelligence (EI) and dental student clinical performance. All third- and fourth-year students at a single U.S. dental school were invited to participate. Participation rate was 74 percent (100/136). Dental students' EI was assessed using the Emotional Competence Inventory-University version (ECI-U), a seventy-two-item, 360-degree questionnaire completed by both self and other raters. The ECI-U measured twenty-two EI competencies grouped into four clusters (Self-Awareness, Self-Management, Social Awareness, and Relationship Management). Clinical performance was assessed using the mean grade assigned by clinical preceptors. This grade represents an overall assessment of a student's clinical performance including diagnostic and treatment planning skills, time utilization, preparation and organization, fundamental knowledge, technical skills, self-evaluation, professionalism, and patient management. Additional variables were didactic grade point average (GPA) in Years 1 and 2, preclinical GPA in Years 1 and 2, Dental Admission Test academic average and Perceptual Ability Test scores, year of study, age, and gender. Multiple linear regression analyses were conducted. The Self-Management cluster of competencies (b=0.448, p<0.05) and preclinical GPA (b=0.317, p<0.01) were significantly correlated with mean clinical grade. The Self-Management competencies were emotional self-control, achievement orientation, initiative, trustworthiness, conscientiousness, adaptability, and optimism. In this sample, dental students' EI competencies related to Self-Management were significant predictors of mean clinical grade

  12. Racial Equality in Intelligence: Predictions from a Theory of Intelligence as Processing

    ERIC Educational Resources Information Center

    Fagan, Joseph F.; Holland, Cynthia R.

    2007-01-01

    African-Americans and Whites were asked to solve problems typical of those administered on standard tests of intelligence. Half of the problems were solvable on the basis of information generally available to either race and/or on the basis of information newly learned. Such knowledge did not vary with race. Other problems were only solvable on…

  13. Detection, information fusion, and temporal processing for intelligence in recognition

    SciTech Connect

    Casasent, D.

    1996-12-31

    The use of intelligence in vision recognition uses many different techniques or tools. This presentation discusses several of these techniques for recognition. The recognition process is generally separated into several steps or stages when implemented in hardware, e.g. detection, segmentation and enhancement, and recognition. Several new distortion-invariant filters, biologically-inspired Gabor wavelet filter techniques, and morphological operations that have been found very useful for detection and clutter rejection are discussed. These are all shift-invariant operations that allow multiple object regions of interest in a scene to be located in parallel. We also discuss new algorithm fusion concepts by which the results from different detection algorithms are combined to reduce detection false alarms; these fusion methods utilize hierarchical processing and fuzzy logic concepts. We have found this to be most necessary, since no single detection algorithm is best for all cases. For the final recognition stage, we describe a new method of representing all distorted versions of different classes of objects and determining the object class and pose that most closely matches that of a given input. Besides being efficient in terms of storage and on-line computations required, it overcomes many of the problems that other classifiers have in terms of the required training set size, poor generalization with many hidden layer neurons, etc. It is also attractive in its ability to reject input regions as clutter (non-objects) and to learn new object descriptions. We also discuss its use in processing a temporal sequence of input images of the contents of each local region of interest. We note how this leads to robust results in which estimation efforts in individual frames can be overcome. This seems very practical, since in many scenarios a decision need not be made after only one frame of data, since subsequent frames of data enter immediately in sequence.

  14. Short-Term Memory and Auditory Processing Disorders: Concurrent Validity and Clinical Diagnostic Markers

    ERIC Educational Resources Information Center

    Maerlender, Arthur

    2010-01-01

    Auditory processing disorders (APDs) are of interest to educators and clinicians, as they impact school functioning. Little work has been completed to demonstrate how children with APDs perform on clinical tests. In a series of studies, standard clinical (psychometric) tests from the Wechsler Intelligence Scale for Children, Fourth Edition…

  15. Development of a user customizable imaging informatics-based intelligent workflow engine system to enhance rehabilitation clinical trials

    NASA Astrophysics Data System (ADS)

    Wang, Ximing; Martinez, Clarisa; Wang, Jing; Liu, Ye; Liu, Brent

    2014-03-01

    Clinical trials usually have a demand to collect, track and analyze multimedia data according to the workflow. Currently, the clinical trial data management requirements are normally addressed with custom-built systems. Challenges occur in the workflow design within different trials. The traditional pre-defined custom-built system is usually limited to a specific clinical trial and normally requires time-consuming and resource-intensive software development. To provide a solution, we present a user customizable imaging informatics-based intelligent workflow engine system for managing stroke rehabilitation clinical trials with intelligent workflow. The intelligent workflow engine provides flexibility in building and tailoring the workflow in various stages of clinical trials. By providing a solution to tailor and automate the workflow, the system will save time and reduce errors for clinical trials. Although our system is designed for clinical trials for rehabilitation, it may be extended to other imaging based clinical trials as well.

  16. Intelligent systems/software engineering methodology - A process to manage cost and risk

    NASA Technical Reports Server (NTRS)

    Friedlander, Carl; Lehrer, Nancy

    1991-01-01

    A systems development methodology is discussed that has been successfully applied to the construction of a number of intelligent systems. This methodology is a refinement of both evolutionary and spiral development methodologies. It is appropriate for development of intelligent systems. The application of advanced engineering methodology to the development of software products and intelligent systems is an important step toward supporting the transition of AI technology into aerospace applications. A description of the methodology and the process model from which it derives is given. Associated documents and tools are described which are used to manage the development process and record and report the emerging design.

  17. Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces

    SciTech Connect

    Mohamed Abdelrahman; roger Haggard; Wagdy Mahmoud; Kevin Moore; Denis Clark; Eric Larsen; Paul King

    2003-02-12

    The final goal of this project was the development of a system that is capable of controlling an industrial process effectively through the integration of information obtained through intelligent sensor fusion and intelligent control technologies. The industry of interest in this project was the metal casting industry as represented by cupola iron-melting furnaces. However, the developed technology is of generic type and hence applicable to several other industries. The system was divided into the following four major interacting components: 1. An object oriented generic architecture to integrate the developed software and hardware components @. Generic algorithms for intelligent signal analysis and sensor and model fusion 3. Development of supervisory structure for integration of intelligent sensor fusion data into the controller 4. Hardware implementation of intelligent signal analysis and fusion algorithms

  18. International Federation of Clinical Chemistry. Use of artificial intelligence in analytical systems for the clinical laboratory. IFCC Committee on Analytical Systems.

    PubMed

    Place, J F; Truchaud, A; Ozawa, K; Pardue, H; Schnipelsky, P

    1994-12-16

    The incorporation of information-processing technology into analytical systems in the form of standard computing software has recently been advanced by the introduction of artificial intelligence (AI) both as expert systems and as neural networks. This paper considers the role of software in system operation, control and automation and attempts to define intelligence. AI is characterized by its ability to deal with incomplete and imprecise information and to accumulate knowledge. Expert systems, building on standard computing techniques, depend heavily on the domain experts and knowledge engineers that have programmed them to represent the real world. Neural networks are intended to emulate the pattern-recognition and parallel-processing capabilities of the human brain and are taught rather than programmed. The future may lie in a combination of the recognition ability of the neural network and the rationalization capability of the expert system. In the second part of this paper, examples are given of applications of AI in stand-alone systems for knowledge engineering and medical diagnosis and in embedded systems for failure detection, image analysis, user interfacing, natural language processing, robotics and machine learning, as related to clinical laboratories. It is concluded that AI constitutes a collective form of intellectual property and that there is a need for better documentation, evaluation and regulation of the systems already being used widely in clinical laboratories. PMID:7889593

  19. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect

    Saini, K. K.; Saini, Sanju

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  20. SmartWeld/SmartProcess - intelligent model based system for the design and validation of welding processes

    SciTech Connect

    Mitchner, J.

    1996-04-01

    Diagrams are presented on an intelligent model based system for the design and validation of welding processes. Key capabilities identified include `right the first time` manufacturing, continuous improvement, and on-line quality assurance.

  1. Intelligence, Information Processing, and Specific Learning Disabilities: A Triarchic Synthesis.

    ERIC Educational Resources Information Center

    Kolligian, John, Jr.; Sternberg, Robert J.

    1987-01-01

    The article describes the triarchic theory of human intelligence, which is composed of three subtheories: componential, experiential, and contextual. Deficient cognitive strategies and inadequate knowledge in certain domains may result from the inability of the learning disabled to selectively encode, compare, and combine information, or from an…

  2. Artificial Intelligence in ADA: Pattern-Directed Processing. Final Report.

    ERIC Educational Resources Information Center

    Reeker, Larry H.; And Others

    To demonstrate to computer programmers that the programming language Ada provides superior facilities for use in artificial intelligence applications, the three papers included in this report investigate the capabilities that exist within Ada for "pattern-directed" programming. The first paper (Larry H. Reeker, Tulane University) is designed to…

  3. Boosting intelligence analysis process and situation awareness using the self-organizing map

    NASA Astrophysics Data System (ADS)

    Kärkkäinen, Anssi P.

    2009-05-01

    Situational awareness is critical on the modern battlefield. A large amount of intelligence information is collected to improve decision-making processes, but in many cases this huge information load is even decelerating analysis and decision-making because of the lack of reasonable tools and methods to process information. To improve the decision making process and situational awareness, lots of research is done to analyze and visualize intelligence information data automatically. Different data fusion and mining techniques are applied to produce an understandable situational picture. Automated processes are based on a data model which is used in information exchange between war operators. The data model requires formal message structures which makes information processing simpler in many cases. In this paper, generated formal intelligence message data is visualized and analyzed by using the self-organizing map (SOM). The SOM is a widely used neural network model, and it has shown its effectiveness in representing multi-dimensional data in two or three dimensional space. The results show that multidimensional intelligence data can be visualized and classified with this technique. The SOM can be used for monitoring intelligence message data (e.g. in purpose of error hunting), message classification and hunting correlations. Thus with the SOM it is possible to speed up the intelligence process and make better and faster decisions.

  4. Life span decrements in fluid intelligence and processing speed predict mortality risk.

    PubMed

    Aichele, Stephen; Rabbitt, Patrick; Ghisletta, Paolo

    2015-09-01

    We examined life span changes in 5 domains of cognitive performance as predictive of mortality risk. Data came from the Manchester Longitudinal Study of Cognition, a 20-plus-year investigation of 6,203 individuals ages 42-97 years. Cognitive domains were general crystallized intelligence, general fluid intelligence, verbal memory, visuospatial memory, and processing speed. Life span decrements were evident across these domains, controlling for baseline performance at age 70 and adjusting for retest effects. Survival analyses stratified by sex and conducted independently by cognitive domain showed that lower baseline performance levels in all domains-and larger life span decrements in general fluid intelligence and processing speed-were predictive of increased mortality risk for both women and men. Critically, analyses of the combined predictive power of cognitive performance variables showed that baseline levels of processing speed (in women) and general fluid intelligence (in men), and decrements in processing speed (in women and in men) and general fluid intelligence (in women), accounted for most of the explained variation in mortality risk. In light of recent evidence from brain-imaging studies, we speculate that cognitive abilities closely linked to cerebral white matter integrity (such as processing speed and general fluid intelligence) may represent particularly sensitive markers of mortality risk. In addition, we presume that greater complexity in cognition-survival associations observed in women (in analyses incorporating all cognitive predictors) may be a consequence of longer and more variable cognitive declines in women relative to men. PMID:26098167

  5. Semantic querying of relational data for clinical intelligence: a semantic web services-based approach

    PubMed Central

    2013-01-01

    Background Clinical Intelligence, as a research and engineering discipline, is dedicated to the development of tools for data analysis for the purposes of clinical research, surveillance, and effective health care management. Self-service ad hoc querying of clinical data is one desirable type of functionality. Since most of the data are currently stored in relational or similar form, ad hoc querying is problematic as it requires specialised technical skills and the knowledge of particular data schemas. Results A possible solution is semantic querying where the user formulates queries in terms of domain ontologies that are much easier to navigate and comprehend than data schemas. In this article, we are exploring the possibility of using SADI Semantic Web services for semantic querying of clinical data. We have developed a prototype of a semantic querying infrastructure for the surveillance of, and research on, hospital-acquired infections. Conclusions Our results suggest that SADI can support ad-hoc, self-service, semantic queries of relational data in a Clinical Intelligence context. The use of SADI compares favourably with approaches based on declarative semantic mappings from data schemas to ontologies, such as query rewriting and RDFizing by materialisation, because it can easily cope with situations when (i) some computation is required to turn relational data into RDF or OWL, e.g., to implement temporal reasoning, or (ii) integration with external data sources is necessary. PMID:23497556

  6. Design and validation of an intelligent wheelchair towards a clinically-functional outcome

    PubMed Central

    2013-01-01

    Background Many people with mobility impairments, who require the use of powered wheelchairs, have difficulty completing basic maneuvering tasks during their activities of daily living (ADL). In order to provide assistance to this population, robotic and intelligent system technologies have been used to design an intelligent powered wheelchair (IPW). This paper provides a comprehensive overview of the design and validation of the IPW. Methods The main contributions of this work are three-fold. First, we present a software architecture for robot navigation and control in constrained spaces. Second, we describe a decision-theoretic approach for achieving robust speech-based control of the intelligent wheelchair. Third, we present an evaluation protocol motivated by a meaningful clinical outcome, in the form of the Robotic Wheelchair Skills Test (RWST). This allows us to perform a thorough characterization of the performance and safety of the system, involving 17 test subjects (8 non-PW users, 9 regular PW users), 32 complete RWST sessions, 25 total hours of testing, and 9 kilometers of total running distance. Results User tests with the RWST show that the navigation architecture reduced collisions by more than 60% compared to other recent intelligent wheelchair platforms. On the tasks of the RWST, we measured an average decrease of 4% in performance score and 3% in safety score (not statistically significant), compared to the scores obtained with conventional driving model. This analysis was performed with regular users that had over 6 years of wheelchair driving experience, compared to approximately one half-hour of training with the autonomous mode. Conclusions The platform tested in these experiments is among the most experimentally validated robotic wheelchairs in realistic contexts. The results establish that proficient powered wheelchair users can achieve the same level of performance with the intelligent command mode, as with the conventional command mode

  7. Effects of Noise and Speech Intelligibility on Listener Comprehension and Processing Time of Korean-Accented English

    ERIC Educational Resources Information Center

    Wilson, Erin O'Brien; Spaulding, Tammie J.

    2010-01-01

    Purpose: This study evaluated the effects of noise and speech intelligibility on the processing of speech produced from native English; high-intelligibility, Korean-accented English; and moderate-intelligibility, Korean-accented English speakers. Method: Both listener comprehension, determined by accuracy judgment on true/false sentences, and…

  8. Application of Intelligent Agents in a Notice and Takedown Process

    NASA Astrophysics Data System (ADS)

    De Rosa, Alessia; Bartolini, Franco; Piva, Alessandro

    2003-01-01

    The future development of networked multimedia services is conditioned by the achievement of efficient methods to protect data owners against non-authorised copying and redistribution of the material put on the network, to grant that the Intellectual Property Rights (IRP) are well respected and the assets properly managed. A Notice and Takedown Procedure is considered, based on a self-regulatory regime, and as a possible implementation of this system, an Intelligent Agent based platform is proposed.

  9. Development and Implementation of a Clinical and Business Intelligence System for the Florida Health Data Warehouse

    PubMed Central

    AlHazme, Raed H.; Rana, Arif M.; De Lucca, Michael

    2014-01-01

    Objective To develop and implement a Clinical and Business Intelligence (CBI) system for the Florida Health Data Warehouse (FHDW) in order to bridge the gap between Florida’s healthcare stakeholders and the health data archived in FHWD. Materials and Methods A gap analysis study has been conducted to evaluate the technological divide between the relevant users and FHWD health data, which is maintained by the Broward Regional Health Planning Council (BRHPC). The study revealed a gap between the health care data and the decision makers that utilize the FHDW data. To bridge the gap, a CBI system was proposed, developed and implemented by BRHPC as a viable solution to address this issue, using the System Development Life Cycle methodology. Results The CBI system was successfully implemented and yielded a number of positive outcomes. In addition to significantly shortening the time required to analyze the health data for decision-making processes, the solution also provided end-users with the ability to automatically track public health parameters. Discussion A large amount of data is collected and stored by various health care organizations at the local, state, and national levels. If utilized properly, such data can go a long way in optimizing health care services. CBI systems provide health care organizations with valuable insights for improving patient care, tracking trends for medical research, and for controlling costs. Conclusion The CBI system has been found quite effective in bridging the gap between Florida’s healthcare stake holders and FHDW health data. Consequently, the solution has improved in the planning and coordination of health care services for the state of Florida. PMID:25379128

  10. Research on intelligent detection and processing technology of laser pulse

    NASA Astrophysics Data System (ADS)

    Zhao, Haili; Jiang, Huilin

    2005-01-01

    Aimed at the influence of turbulent atmosphere effect on laser pulse detection, it discusses the key factors that affect the signal test in this paper. Based on it, the article also discusses two key techniques, namely, floating threshold value and AGC (Automatic Gain Control) technology in detail, especially about the technique of floating threshold value. According to discussion about intelligent detection technology of laser pulse, the system designs a low noise detecting unit of laser pulse, tests its performance by the experiment, and validates correctness of the results.

  11. Professional competencies in health sciences education: from multiple intelligences to the clinic floor.

    PubMed

    Lane, India F

    2010-03-01

    Nontechnical competencies identified as essential to the health professional's success include ethical behavior, interpersonal, self-management, leadership, business, and thinking competencies. The literature regarding such diverse topics, and the literature regarding "professional success" is extensive and wide-ranging, crossing educational, psychological, business, medical and vocational fields of study. This review is designed to introduce ways of viewing nontechnical competence from the psychology of human capacity to current perspectives, initiatives and needs in practice. After an introduction to the tensions inherent in educating individuals for both biomedical competency and "bedside" or "cageside" manner, the paper presents a brief overview of the major lines of inquiry into intelligence theory and how theories of multiple intelligences can build a foundation for conceptualizing professional and life skills. The discussion then moves from broad concepts of intelligence to more specific workplace skill sets, with an emphasis on professional medical education. This section introduces the research on noncognitive variables in various disciplines, the growing emphasis on competency based education, and the SKA movement in veterinary education. The next section presents the evidence that nontechnical, noncognitive or humanistic skills influence achievement in academic settings, medical education and clinical performance, as well as the challenges faced when educational priorities must be made. PMID:19585247

  12. Intelligent image processing for vegetation classification using multispectral LANDSAT data

    NASA Astrophysics Data System (ADS)

    Santos, Stewart R.; Flores, Jorge L.; Garcia-Torales, G.

    2015-09-01

    We propose an intelligent computational technique for analysis of vegetation imaging, which are acquired with multispectral scanner (MSS) sensor. This work focuses on intelligent and adaptive artificial neural network (ANN) methodologies that allow segmentation and classification of spectral remote sensing (RS) signatures, in order to obtain a high resolution map, in which we can delimit the wooded areas and quantify the amount of combustible materials present into these areas. This could provide important information to prevent fires and deforestation of wooded areas. The spectral RS input data, acquired by the MSS sensor, are considered in a random propagation remotely sensed scene with unknown statistics for each Thematic Mapper (TM) band. Performing high-resolution reconstruction and adding these spectral values with neighbor pixels information from each TM band, we can include contextual information into an ANN. The biggest challenge in conventional classifiers is how to reduce the number of components in the feature vector, while preserving the major information contained in the data, especially when the dimensionality of the feature space is high. Preliminary results show that the Adaptive Modified Neural Network method is a promising and effective spectral method for segmentation and classification in RS images acquired with MSS sensor.

  13. Intelligent process monitoring of multilayer ceramic actuators using high temperature optical fiber displacement sensors

    SciTech Connect

    Gunther, M.F.; Claus, R.O.; Ritter, A.; Tran, T.A.; Greene, J.A.

    1994-12-31

    The Fiber and Electro-Optics Research Center (FEORC) has developed a sensing technique for the intelligent processing of a multilayer ceramic actuator (MCA) elements manufactured by the AVX Corporation in Conway, SC. Presented are the results of the fiber optic strain sensor used to monitor the burnout of organic binders from a green actuator sample. The results establish the operation of the short gage length, low finesse Fabry-Perot interferometric strain sensor as a tool for intelligent processing of such ceramic actuator elements. Also presented is the method of sensor operation, and post processing results using the same sensor for tracking actuator performance and hysteresis.

  14. Cognitive Processes in Clinical Practice.

    ERIC Educational Resources Information Center

    Witkin, Stanley L.

    1982-01-01

    Explores the cognitive processes that can lead social workers to make erroneous judgements about clients, and inappropriate practice decisions. Similarities between the assessment and practice methods advocated underscore the notion of practice as a process of systematic exploration and problem solving. (Author/JAC)

  15. Competitive Intelligence.

    ERIC Educational Resources Information Center

    Bergeron, Pierrette; Hiller, Christine A.

    2002-01-01

    Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

  16. A Comparison of Laboratory and Clinical Working Memory Tests and Their Prediction of Fluid Intelligence

    PubMed Central

    Shelton, Jill T.; Elliott, Emily M.; Hill, B. D.; Calamia, Matthew R.; Gouvier, Wm. Drew

    2010-01-01

    The working memory (WM) construct is conceptualized similarly across domains of psychology, yet the methods used to measure WM function vary widely. The present study examined the relationship between WM measures used in the laboratory and those used in applied settings. A large sample of undergraduates completed three laboratory-based WM measures (operation span, listening span, and n-back), as well as the WM subtests from the Wechsler Adult Intelligence Scale-III and the Wechsler Memory Scale-III. Performance on all of the WM subtests of the clinical batteries shared positive correlations with the lab measures; however, the Arithmetic and Spatial Span subtests shared lower correlations than the other WM tests. Factor analyses revealed that a factor comprising scores from the three lab WM measures and the clinical subtest, Letter-Number Sequencing (LNS), provided the best measurement of WM. Additionally, a latent variable approach was taken using fluid intelligence as a criterion construct to further discriminate between the WM tests. The results revealed that the lab measures, along with the LNS task, were the best predictors of fluid abilities. PMID:20161647

  17. Cleveland Clinic intelligent mouthguard: a new technology to accurately measure head impact in athletes and soldiers

    NASA Astrophysics Data System (ADS)

    Bartsch, Adam; Samorezov, Sergey

    2013-05-01

    Nearly 2 million Traumatic Brain Injuries (TBI) occur in the U.S. each year, with societal costs approaching $60 billion. Including mild TBI and concussion, TBI's are prevalent in soldiers returning from Iraq and Afghanistan as well as in domestic athletes. Long-term risks of single and cumulative head impact dosage may present in the form of post traumatic stress disorder (PTSD), depression, suicide, Chronic Traumatic Encephalopathy (CTE), dementia, Alzheimer's and Parkinson's diseases. Quantifying head impact dosage and understanding associated risk factors for the development of long-term sequelae is critical toward developing guidelines for TBI exposure and post-exposure management. The current knowledge gap between head impact exposure and clinical outcomes limits the understanding of underlying TBI mechanisms, including effective treatment protocols and prevention methods for soldiers and athletes. In order to begin addressing this knowledge gap, Cleveland Clinic is developing the "Intelligent Mouthguard" head impact dosimeter. Current testing indicates the Intelligent Mouthguard can quantify linear acceleration with 3% error and angular acceleration with 17% error during impacts ranging from 10g to 174g and 850rad/s2 to 10000rad/s2, respectively. Correlation was high (R2 > 0.99, R2 = 0.98, respectively). Near-term development will be geared towards quantifying head impact dosages in vitro, longitudinally in athletes and to test new sensors for possible improved accuracy and reduced bias. Long-term, the IMG may be useful to soldiers to be paired with neurocognitive clinical data quantifying resultant TBI functional deficits.

  18. Bibliographic Post-Processing with the TIS Intelligent Gateway: Analytical and Communication Capabilities.

    ERIC Educational Resources Information Center

    Burton, Hilary D.

    TIS (Technology Information System) is an intelligent gateway system capable of performing quantitative evaluation and analysis of bibliographic citations using a set of Process functions. Originally developed by Lawrence Livermore National Laboratory (LLNL) to analyze information retrieved from three major federal databases, DOE/RECON,…

  19. Processing Speed and Intelligence as Predictors of School Achievement: Mediation or Unique Contribution?

    ERIC Educational Resources Information Center

    Dodonova, Yulia A.; Dodonov, Yury S.

    2012-01-01

    The relationships between processing speed, intelligence, and school achievement were analyzed on a sample of 184 Russian 16-year-old students. Two speeded tasks required the discrimination of simple geometrical shapes and the recognition of the presented meaningless figures. Raven's Advanced Progressive Matrices and the verbal subtests of…

  20. Processing Speed, Intelligence, Creativity, and School Performance: Testing of Causal Hypotheses Using Structural Equation Models

    ERIC Educational Resources Information Center

    Rindermann, H.; Neubauer, A. C.

    2004-01-01

    According to mental speed theory of intelligence, the speed of information processing constitutes an important basis for cognitive abilities. However, the question, how mental speed relates to real world criteria, like school, academic, or job performance, is still unanswered. The aim of the study is to test an indirect speed-factor model in…

  1. Validity of the Luria-Nebraska Intellectual Processes Scale as a Measure of Adult Intelligence.

    ERIC Educational Resources Information Center

    Prifitera, Aurelio; Ryan, Joseph J.

    1981-01-01

    Investigated the validity of the Luria-Nebraska Intellectual Processes Scale (IPS) as a substitute for the Wechsler Adult Intelligence Scale (WAIS). IPS scores were correlated with the three WAIS IQs, and regression equations were computed to obtain estimated Verbal IQ, Performance IQ, and Full Scale IQ. (Author)

  2. Clinical report writing: Process and perspective

    NASA Technical Reports Server (NTRS)

    Ewald, H. R.

    1981-01-01

    Clinical report writing in psychology and psychiatry is addressed. Audience/use analysis and the basic procedures of information gathering, diagnosis, and prognosis are described. Two interlinking processes are involved: the process of creation and the process of communication. Techniques for good report writing are presented.

  3. Intelligent sensor-model automated control of PMR-15 autoclave processing

    NASA Technical Reports Server (NTRS)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    1992-01-01

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  4. Intelligent sensor-model automated control of PMR-15 autoclave processing

    NASA Astrophysics Data System (ADS)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  5. Numerical magnitude processing deficits in children with mathematical difficulties are independent of intelligence.

    PubMed

    Brankaer, Carmen; Ghesquière, Pol; De Smedt, Bert

    2014-11-01

    Developmental dyscalculia (DD) is thought to arise from difficulties in the ability to process numerical magnitudes. Most research relied on IQ-discrepancy based definitions of DD and only included individuals with normal IQ, yet little is known about the role of intelligence in the association between numerical magnitude processing and mathematical difficulties (MD). The present study examined numerical magnitude processing in matched groups of 7- to 8-year-olds (n=42) who had either discrepant MD (poor math scores, average IQ), nondiscrepant MD (poor math scores, below-average IQ) or no MD. Both groups of children with MD showed similar impairments in numerical magnitudes processing compared to controls, suggesting that the association between numerical magnitude processing deficits and MD is independent of intelligence. PMID:25036314

  6. Space Shuttle processing - A case study in artificial intelligence

    NASA Technical Reports Server (NTRS)

    Mollikarimi, Cindy; Gargan, Robert; Zweben, Monte

    1991-01-01

    A scheduling system incorporating AI is described and applied to the automated processing of the Space Shuttle. The unique problem of addressing the temporal, resource, and orbiter-configuration requirements of shuttle processing is described with comparisons to traditional project management for manufacturing processes. The present scheduling system is developed to handle the late inputs and complex programs that characterize shuttle processing by incorporating fixed preemptive scheduling, constraint-based simulated annealing, and the characteristics of an 'anytime' algorithm. The Space-Shuttle processing environment is modeled with 500 activities broken down into 4000 subtasks and with 1600 temporal constraints, 8000 resource constraints, and 3900 state requirements. The algorithm is shown to scale to very large problems and maintain anytime characteristics suggesting that an automated scheduling process is achievable and potentially cost-effective.

  7. Rapid Intelligent Inspection Process Definition for dimensional measurement in advanced manufacturing

    SciTech Connect

    Brown, C.W.

    1993-03-01

    The Rapid Intelligent Inspection Process Definition (RIIPD) project is an industry-led effort to advance computer integrated manufacturing (CIM) systems for the creation and modification of inspection process definitions. The RIIPD project will define, design, develop, and demonstrate an automated tool (i.e., software) to generate inspection process plans and coordinate measuring machine (CMM) inspection programs, as well as produce support information for the dimensional measurement of piece parts. The goal of this project is to make the inspection and part verification function, specifically CMM measurements, a more effective production support tool by reducing inspection process definition flowtime, creating consistent and standard inspections, increasing confidence of measurement results, and capturing inspection expertise. This objective is accomplished through importing STEP geometry definitions, applying solid modeling, incorporating explicit tolerance representations, establishing dimensional inspection,techniques, embedding artificial intelligence techniques, and adhering to the Dimensional Measuring Interface Standard (DMIS) national standard.

  8. Business Intelligence Applied to the ALMA Software Integration Process

    NASA Astrophysics Data System (ADS)

    Zambrano, M.; Recabarren, C.; González, V.; Hoffstadt, A.; Soto, R.; Shen, T.-C.

    2012-09-01

    Software quality assurance and planning of an astronomy project is a complex task, specially if it is a distributed collaborative project such as ALMA, where the development centers are spread across the globe. When you execute a software project there is much valuable information about this process itself that you might be able to collect. One of the ways you can receive this input is via an issue tracking system that will gather the problem reports relative to software bugs captured during the testing of the software, during the integration of the different components or even worst, problems occurred during production time. Usually, there is little time spent on analyzing them but with some multidimensional processing you can extract valuable information from them and it might help you on the long term planning and resources allocation. We present an analysis of the information collected at ALMA from a collection of key unbiased indicators. We describe here the extraction, transformation and load process and how the data was processed. The main goal is to assess a software process and get insights from this information.

  9. Team B Intelligence Coups

    ERIC Educational Resources Information Center

    Mitchell, Gordon R.

    2006-01-01

    The 2003 Iraq prewar intelligence failure was not simply a case of the U.S. intelligence community providing flawed data to policy-makers. It also involved subversion of the competitive intelligence analysis process, where unofficial intelligence boutiques "stovepiped" misleading intelligence assessments directly to policy-makers and undercut…

  10. Influence of Family Processes, Motivation, and Beliefs about Intelligence on Creative Problem Solving of Scientifically Talented Individuals

    ERIC Educational Resources Information Center

    Cho, Seokhee; Lin, Chia-Yi

    2011-01-01

    Predictive relationships among perceived family processes, intrinsic and extrinsic motivation, incremental beliefs about intelligence, confidence in intelligence, and creative problem-solving practices in mathematics and science were examined. Participants were 733 scientifically talented Korean students in fourth through twelfth grades as well as…

  11. Differences in Cognitive Processes between Gifted, Intelligent, Creative, and Average Individuals While Solving Complex Problems: An EEG Study.

    ERIC Educational Resources Information Center

    Jausovec, Norbert

    2000-01-01

    Studied differences in cognitive processes related to creativity and intelligence using EEG coherence and power measures in the lower and upper alpha bands. Results of 2 experiments involving 49 and 48 right-handed student teachers suggest that creativity and intelligence are different abilities that also differ in the neurological activity…

  12. QuikForm: Intelligent deformation processing of structural alloys

    SciTech Connect

    Bourcier, R.J.; Wellman, G.W.

    1994-09-01

    There currently exists a critical need for tools to enhance the industrial competitiveness and agility of US industries involved in deformation processing of structural alloys. In response to this need, Sandia National Laboratories has embarked upon the QuikForm Initiative. The goal of this program is the development of computer-based tools to facilitate the design of deformation processing operations. The authors are currently focusing their efforts on the definition/development of a comprehensive system for the design of sheet metal stamping operations. The overall structure of the proposed QuikForm system is presented, and the focus of their thrust in each technical area is discussed.

  13. Intelligent process mapping through systematic improvement of heuristics

    NASA Technical Reports Server (NTRS)

    Ieumwananonthachai, Arthur; Aizawa, Akiko N.; Schwartz, Steven R.; Wah, Benjamin W.; Yan, Jerry C.

    1992-01-01

    The present system for automatic learning/evaluation of novel heuristic methods applicable to the mapping of communication-process sets on a computer network has its basis in the testing of a population of competing heuristic methods within a fixed time-constraint. The TEACHER 4.1 prototype learning system implemented or learning new postgame analysis heuristic methods iteratively generates and refines the mappings of a set of communicating processes on a computer network. A systematic exploration of the space of possible heuristic methods is shown to promise significant improvement.

  14. An intelligent advisory system for pre-launch processing

    NASA Technical Reports Server (NTRS)

    Engrand, Peter A.; Mitchell, Tami

    1991-01-01

    The shuttle system of interest in this paper is the shuttle's data processing system (DPS). The DPS is composed of the following: (1) general purpose computers (GPC); (2) a multifunction CRT display system (MCDS); (3) mass memory units (MMU); and (4) a multiplexer/demultiplexer (MDM) and related software. In order to ensure the correct functioning of shuttle systems, some level of automatic error detection has been incorporated into all shuttle systems. For the DPS, error detection equipment has been incorporated into all of its subsystems. The automated diagnostic system, (MCDS) diagnostic tool, that aids in a more efficient processing of the DPS is described.

  15. Assessment of Intelligent Processing Equipment in the National Aeronautics and Space Administration, 1991

    NASA Technical Reports Server (NTRS)

    Jones, C. S.

    1992-01-01

    Summarized here is an assessment of intelligent processing equipment (IPE) within NASA. An attempt is made to determine the state of IPE development and research in specific areas where NASA might contribute to the national capability. Mechanisms to transfer NASA technology to the U.S. private sector in this critical area are discussed. It was concluded that intelligent processing equipment is finding extensive use in the manufacture of space hardware, especially in the propulsion components of the shuttle. The major benefits are found in improved process consistency, which lowers cost as it reduces rework. Advanced feedback controls are under development and being implemented gradually into shuttle manufacturing. Implementation is much more extensive in new programs, such as in the advanced solid rocket motor and the Space Station Freedom.

  16. Assessment of intelligent processing equipment in the National Aeronautics and Space Administration, 1991

    NASA Astrophysics Data System (ADS)

    Jones, C. S.

    1992-04-01

    Summarized here is an assessment of intelligent processing equipment (IPE) within NASA. An attempt is made to determine the state of IPE development and research in specific areas where NASA might contribute to the national capability. Mechanisms to transfer NASA technology to the U.S. private sector in this critical area are discussed. It was concluded that intelligent processing equipment is finding extensive use in the manufacture of space hardware, especially in the propulsion components of the shuttle. The major benefits are found in improved process consistency, which lowers cost as it reduces rework. Advanced feedback controls are under development and being implemented gradually into shuttle manufacturing. Implementation is much more extensive in new programs, such as in the advanced solid rocket motor and the Space Station Freedom.

  17. Information processing speed mediates the relationship between white matter and general intelligence in schizophrenia.

    PubMed

    Alloza, Clara; Cox, Simon R; Duff, Barbara; Semple, Scott I; Bastin, Mark E; Whalley, Heather C; Lawrie, Stephen M

    2016-08-30

    Several authors have proposed that schizophrenia is the result of impaired connectivity between specific brain regions rather than differences in local brain activity. White matter abnormalities have been suggested as the anatomical substrate for this dysconnectivity hypothesis. Information processing speed may act as a key cognitive resource facilitating higher order cognition by allowing multiple cognitive processes to be simultaneously available. However, there is a lack of established associations between these variables in schizophrenia. We hypothesised that the relationship between white matter and general intelligence would be mediated by processing speed. White matter water diffusion parameters were studied using Tract-based Spatial Statistics and computed within 46 regions-of-interest (ROI). Principal component analysis was conducted on these white matter ROI for fractional anisotropy (FA) and mean diffusivity, and on neurocognitive subtests to extract general factors of white mater structure (gFA, gMD), general intelligence (g) and processing speed (gspeed). There was a positive correlation between g and gFA (r= 0.67, p =0.001) that was partially and significantly mediated by gspeed (56.22% CI: 0.10-0.62). These findings suggest a plausible model of structure-function relations in schizophrenia, whereby white matter structure may provide a neuroanatomical substrate for general intelligence, which is partly supported by speed of information processing. PMID:27308721

  18. Shared and service-oriented CNC machining system for intelligent manufacturing process

    NASA Astrophysics Data System (ADS)

    Li, Yao; Liu, Qiang; Tong, Ronglei; Cui, Xiaohong

    2015-11-01

    To improve efficiency, reduce cost, ensure quality effectively, researchers on CNC machining have focused on virtual machine tool, cloud manufacturing, wireless manufacturing. However, low level of information shared among different systems is a common disadvantage. In this paper, a machining database with data evaluation module is set up to ensure integrity and update. An online monitoring system based on internet of things and multi-sensors "feel" a variety of signal features to "percept" the state in CNC machining process. A high efficiency and green machining parameters optimization system "execute" service-oriented manufacturing, intelligent manufacturing and green manufacturing. The intelligent CNC machining system is applied in production. CNC machining database effectively shares and manages process data among different systems. The prediction accuracy of online monitoring system is up to 98.8% by acquiring acceleration and noise in real time. High efficiency and green machining parameters optimization system optimizes the original processing parameters, and the calculation indicates that optimized processing parameters not only improve production efficiency, but also reduce carbon emissions. The application proves that the shared and service-oriented CNC machining system is reliable and effective. This research presents a shared and service-oriented CNC machining system for intelligent manufacturing process.

  19. Artificial intelligence and signal processing for infrastructure assessment

    NASA Astrophysics Data System (ADS)

    Assaleh, Khaled; Shanableh, Tamer; Yehia, Sherif

    2015-04-01

    The Ground Penetrating Radar (GPR) is being recognized as an effective nondestructive evaluation technique to improve the inspection process. However, data interpretation and complexity of the results impose some limitations on the practicality of using this technique. This is mainly due to the need of a trained experienced person to interpret images obtained by the GPR system. In this paper, an algorithm to classify and assess the condition of infrastructures utilizing image processing and pattern recognition techniques is discussed. Features extracted form a dataset of images of defected and healthy slabs are used to train a computer vision based system while another dataset is used to evaluate the proposed algorithm. Initial results show that the proposed algorithm is able to detect the existence of defects with about 77% success rate.

  20. The process of deforestation in weak democracies and the role of Intelligence.

    PubMed

    Obydenkova, Anastassia; Nazarov, Zafar; Salahodjaev, Raufhon

    2016-07-01

    This article examines the interconnection between national intelligence, political institutions, and the mismanagement of public resources (deforestations). The paper examines the reasons for deforestation and investigates the factors accountable for it. The analysis builds on authors-compiled cross-national dataset on 185 countries over the time period of twenty years, from 1990 to 2010. We find that, first, nation's intelligence reduces significantly the level of deforestation in a state. Moreover, the nations' IQ seems to play an offsetting role in the natural resource conservation (forest management) in the countries with weak democratic institutions. The analysis also discovered the presence of the U-shaped relationship between democracy and deforestation. Intelligence sheds more light on this interconnection and explains the results. Our results are robust to various sample selection strategies and model specifications. The main implication from our study is that intelligence not only shapes formal rules and informal regulations such as social trust, norms and traditions but also it has the ability to reverse the paradoxical process known as "resource curse." The study contributes to better understanding of reasons of deforestation and shed light on the debated impact of political regime on forest management. PMID:27148671

  1. Intelligent Computational Systems. Opening Remarks: CFD Application Process Workshop

    NASA Technical Reports Server (NTRS)

    VanDalsem, William R.

    1994-01-01

    This discussion will include a short review of the challenges that must be overcome if computational physics technology is to have a larger impact on the design cycles of U.S. aerospace companies. Some of the potential solutions to these challenges may come from the information sciences fields. A few examples of potential computational physics/information sciences synergy will be presented, as motivation and inspiration for the Improving The CFD Applications Process Workshop.

  2. Suppressive mechanisms in visual motion processing: From perception to intelligence.

    PubMed

    Tadin, Duje

    2015-10-01

    Perception operates on an immense amount of incoming information that greatly exceeds the brain's processing capacity. Because of this fundamental limitation, the ability to suppress irrelevant information is a key determinant of perceptual efficiency. Here, I will review a series of studies investigating suppressive mechanisms in visual motion processing, namely perceptual suppression of large, background-like motions. These spatial suppression mechanisms are adaptive, operating only when sensory inputs are sufficiently robust to guarantee visibility. Converging correlational and causal evidence links these behavioral results with inhibitory center-surround mechanisms, namely those in cortical area MT. Spatial suppression is abnormally weak in several special populations, including the elderly and individuals with schizophrenia-a deficit that is evidenced by better-than-normal direction discriminations of large moving stimuli. Theoretical work shows that this abnormal weakening of spatial suppression should result in motion segregation deficits, but direct behavioral support of this hypothesis is lacking. Finally, I will argue that the ability to suppress information is a fundamental neural process that applies not only to perception but also to cognition in general. Supporting this argument, I will discuss recent research that shows individual differences in spatial suppression of motion signals strongly predict individual variations in IQ scores. PMID:26299386

  3. Structural and incremental validity of the Wechsler Adult Intelligence Scale-Fourth Edition with a clinical sample.

    PubMed

    Nelson, Jason M; Canivez, Gary L; Watkins, Marley W

    2013-06-01

    Structural and incremental validity of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; Wechsler, 2008a) was examined with a sample of 300 individuals referred for evaluation at a university-based clinic. Confirmatory factor analysis indicated that the WAIS-IV structure was best represented by 4 first-order factors as well as a general intelligence factor in a direct hierarchical model. The general intelligence factor accounted for the most common and total variance among the subtests. Incremental validity analyses indicated that the Full Scale IQ (FSIQ) generally accounted for medium to large portions of academic achievement variance. For all measures of academic achievement, the first-order factors combined accounted for significant achievement variance beyond that accounted for by the FSIQ, but individual factor index scores contributed trivial amounts of achievement variance. Implications for interpreting WAIS-IV results are discussed. PMID:23544395

  4. Outcome Prediction in Clinical Treatment Processes.

    PubMed

    Huang, Zhengxing; Dong, Wei; Ji, Lei; Duan, Huilong

    2016-01-01

    Clinical outcome prediction, as strong implications for health service delivery of clinical treatment processes (CTPs), is important for both patients and healthcare providers. Prior studies typically use a priori knowledge, such as demographics or patient physical factors, to estimate clinical outcomes at early stages of CTPs (e.g., admission). They lack the ability to deal with temporal evolution of CTPs. In addition, most of the existing studies employ data mining or machine learning methods to generate a prediction model for a specific type of clinical outcome, however, a mathematical model that predicts multiple clinical outcomes simultaneously, has not yet been established. In this study, a hybrid approach is proposed to provide a continuous predictive monitoring service on multiple clinical outcomes. More specifically, a probabilistic topic model is applied to discover underlying treatment patterns of CTPs from electronic medical records. Then, the learned treatment patterns, as low-dimensional features of CTPs, are exploited for clinical outcome prediction across various stages of CTPs based on multi-label classification. The proposal is evaluated to predict three typical classes of clinical outcomes, i.e., length of stay, readmission time, and the type of discharge, using 3492 pieces of patients' medical records of the unstable angina CTP, extracted from a Chinese hospital. The stable model was characterized by 84.9% accuracy and 6.4% hamming-loss with 3 latent treatment patterns discovered from data, which outperforms the benchmark multi-label classification algorithms for clinical outcome prediction. Our study indicates the proposed approach can potentially improve the quality of clinical outcome prediction, and assist physicians to understand the patient conditions, treatment inventions, and clinical outcomes in an integrated view. PMID:26573645

  5. Network-Capable Application Process and Wireless Intelligent Sensors for ISHM

    NASA Technical Reports Server (NTRS)

    Figueroa, Fernando; Morris, Jon; Turowski, Mark; Wang, Ray

    2011-01-01

    Intelligent sensor technology and systems are increasingly becoming attractive means to serve as frameworks for intelligent rocket test facilities with embedded intelligent sensor elements, distributed data acquisition elements, and onboard data acquisition elements. Networked intelligent processors enable users and systems integrators to automatically configure their measurement automation systems for analog sensors. NASA and leading sensor vendors are working together to apply the IEEE 1451 standard for adding plug-and-play capabilities for wireless analog transducers through the use of a Transducer Electronic Data Sheet (TEDS) in order to simplify sensor setup, use, and maintenance, to automatically obtain calibration data, and to eliminate manual data entry and error. A TEDS contains the critical information needed by an instrument or measurement system to identify, characterize, interface, and properly use the signal from an analog sensor. A TEDS is deployed for a sensor in one of two ways. First, the TEDS can reside in embedded, nonvolatile memory (typically flash memory) within the intelligent processor. Second, a virtual TEDS can exist as a separate file, downloadable from the Internet. This concept of virtual TEDS extends the benefits of the standardized TEDS to legacy sensors and applications where the embedded memory is not available. An HTML-based user interface provides a visual tool to interface with those distributed sensors that a TEDS is associated with, to automate the sensor management process. Implementing and deploying the IEEE 1451.1-based Network-Capable Application Process (NCAP) can achieve support for intelligent process in Integrated Systems Health Management (ISHM) for the purpose of monitoring, detection of anomalies, diagnosis of causes of anomalies, prediction of future anomalies, mitigation to maintain operability, and integrated awareness of system health by the operator. It can also support local data collection and storage. This

  6. The use of artificial intelligence techniques to improve the multiple payload integration process

    NASA Technical Reports Server (NTRS)

    Cutts, Dannie E.; Widgren, Brian K.

    1992-01-01

    A maximum return of science and products with a minimum expenditure of time and resources is a major goal of mission payload integration. A critical component then, in successful mission payload integration is the acquisition and analysis of experiment requirements from the principal investigator and payload element developer teams. One effort to use artificial intelligence techniques to improve the acquisition and analysis of experiment requirements within the payload integration process is described.

  7. Computer aided diagnosis based on medical image processing and artificial intelligence methods

    NASA Astrophysics Data System (ADS)

    Stoitsis, John; Valavanis, Ioannis; Mougiakakou, Stavroula G.; Golemati, Spyretta; Nikita, Alexandra; Nikita, Konstantina S.

    2006-12-01

    Advances in imaging technology and computer science have greatly enhanced interpretation of medical images, and contributed to early diagnosis. The typical architecture of a Computer Aided Diagnosis (CAD) system includes image pre-processing, definition of region(s) of interest, features extraction and selection, and classification. In this paper, the principles of CAD systems design and development are demonstrated by means of two examples. The first one focuses on the differentiation between symptomatic and asymptomatic carotid atheromatous plaques. For each plaque, a vector of texture and motion features was estimated, which was then reduced to the most robust ones by means of ANalysis of VAriance (ANOVA). Using fuzzy c-means, the features were then clustered into two classes. Clustering performances of 74%, 79%, and 84% were achieved for texture only, motion only, and combinations of texture and motion features, respectively. The second CAD system presented in this paper supports the diagnosis of focal liver lesions and is able to characterize liver tissue from Computed Tomography (CT) images as normal, hepatic cyst, hemangioma, and hepatocellular carcinoma. Five texture feature sets were extracted for each lesion, while a genetic algorithm based feature selection method was applied to identify the most robust features. The selected feature set was fed into an ensemble of neural network classifiers. The achieved classification performance was 100%, 93.75% and 90.63% in the training, validation and testing set, respectively. It is concluded that computerized analysis of medical images in combination with artificial intelligence can be used in clinical practice and may contribute to more efficient diagnosis.

  8. Intelligent editing for post-processing of ROI segmentation

    NASA Astrophysics Data System (ADS)

    Lu, Kongkuo

    2015-03-01

    Segmentation of regions of interest (ROIs), such as suspect lesions, is a preliminary but vital step for computeraided breast cancer diagnosis, but the task is quite challenging due to image quality and the complicated phenomena that are usually involved with the ROIs. On one hand, it is possible for physicians and clinicians to dig out more information from imaging; on another hand, efficient, robust, and accurate segmentation of such kind of anatomical lesions is often a difficult and open task to researcher and technical development. As a counterbalance between automatic methods, which are usually highly application dependent, and manual approaches, which are too time consuming, live wire, which provide full user control during segmentation while minimizing user interaction, is a promising option for assisting in breast lesion segmentation in ultrasound (US) images. This work proposes a live-wire-based adjustment method to further extend its potentials in computer-aided diagnosis (CAD) applications. It allows for local boundary adjustment, based on the live-wire paradigms, for a given segmentation, and can be attached as a post-process step to the live wire method or other segmentation approaches.

  9. Risk intelligence: making profit from uncertainty in data processing system.

    PubMed

    Zheng, Si; Liao, Xiangke; Liu, Xiaodong

    2014-01-01

    In extreme scale data processing systems, fault tolerance is an essential and indispensable part. Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework) is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. Efficient proactive fault tolerance schemes require precise knowledge on the task executions, which has been an open challenge for decades. To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. Our design demonstrates that the nature uncertainty brings not only great challenges, but also new opportunities. With a careful design, we can benefit from such uncertainties. We implement the idea in Hadoop 0.21.0 systems and the experimental results show that, compared with the traditional LATE algorithm, the response time can be improved by 46% with the same system throughput. PMID:24883392

  10. Risk Intelligence: Making Profit from Uncertainty in Data Processing System

    PubMed Central

    Liao, Xiangke; Liu, Xiaodong

    2014-01-01

    In extreme scale data processing systems, fault tolerance is an essential and indispensable part. Proactive fault tolerance scheme (such as the speculative execution in MapReduce framework) is introduced to dramatically improve the response time of job executions when the failure becomes a norm rather than an exception. Efficient proactive fault tolerance schemes require precise knowledge on the task executions, which has been an open challenge for decades. To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. Our design demonstrates that the nature uncertainty brings not only great challenges, but also new opportunities. With a careful design, we can benefit from such uncertainties. We implement the idea in Hadoop 0.21.0 systems and the experimental results show that, compared with the traditional LATE algorithm, the response time can be improved by 46% with the same system throughput. PMID:24883392

  11. Instruction: Does It Mean Creating Intelligence?

    ERIC Educational Resources Information Center

    Brethower, Dale

    1990-01-01

    Argues that the mission of the university is to create intelligence. Defines intelligence, discusses research on cognitive processes of learning, and discusses obstacles to using the demonstrate-label-coach-mastery strategy emphasizing the value of the clinical approach used to teach seven specific skills. Presents a classroom illustration of this…

  12. Extended Logic Intelligent Processing System for a Sensor Fusion Processor Hardware

    NASA Technical Reports Server (NTRS)

    Stoica, Adrian; Thomas, Tyson; Li, Wei-Te; Daud, Taher; Fabunmi, James

    2000-01-01

    The paper presents the hardware implementation and initial tests from a low-power, highspeed reconfigurable sensor fusion processor. The Extended Logic Intelligent Processing System (ELIPS) is described, which combines rule-based systems, fuzzy logic, and neural networks to achieve parallel fusion of sensor signals in compact low power VLSI. The development of the ELIPS concept is being done to demonstrate the interceptor functionality which particularly underlines the high speed and low power requirements. The hardware programmability allows the processor to reconfigure into different machines, taking the most efficient hardware implementation during each phase of information processing. Processing speeds of microseconds have been demonstrated using our test hardware.

  13. Academic Due Process in Clinical Pharmacy Education.

    ERIC Educational Resources Information Center

    Abood, Richard R.; Iovacchini, Eric V.

    1979-01-01

    The historical evolution of academic due process, its current concept as revealed in the Supreme Court ruling in Horowitz vs Board of Curators of the University of Missouri, and the application of that judicial opinion to clinical clerkship programs in pharmacy are discussed. Guidelines to protect faculty and administration are offered. (JMD)

  14. The Therapeutic Process in Clinical Social Work.

    ERIC Educational Resources Information Center

    Siporin, Max

    1983-01-01

    Suggests that current outmoded and inadequate conceptions of the therapeutic process are a major obstacle to the advancement of clinical social work practice. Presents an integrative ecosystem model that expresses the distinctive social work concern with person, situation, and helping relationship, in their reciprocal psychodynamic and…

  15. Plant intelligence

    NASA Astrophysics Data System (ADS)

    Trewavas, Anthony

    2005-09-01

    Intelligent behavior is a complex adaptive phenomenon that has evolved to enable organisms to deal with variable environmental circumstances. Maximizing fitness requires skill in foraging for necessary resources (food) in competitive circumstances and is probably the activity in which intelligent behavior is most easily seen. Biologists suggest that intelligence encompasses the characteristics of detailed sensory perception, information processing, learning, memory, choice, optimisation of resource sequestration with minimal outlay, self-recognition, and foresight by predictive modeling. All these properties are concerned with a capacity for problem solving in recurrent and novel situations. Here I review the evidence that individual plant species exhibit all of these intelligent behavioral capabilities but do so through phenotypic plasticity, not movement. Furthermore it is in the competitive foraging for resources that most of these intelligent attributes have been detected. Plants should therefore be regarded as prototypical intelligent organisms, a concept that has considerable consequences for investigations of whole plant communication, computation and signal transduction.

  16. Assessing Speech Intelligibility in Children with Hearing Loss: Toward Revitalizing a Valuable Clinical Tool

    ERIC Educational Resources Information Center

    Ertmer, David J.

    2011-01-01

    Background: Newborn hearing screening, early intervention programs, and advancements in cochlear implant and hearing aid technology have greatly increased opportunities for children with hearing loss to become intelligible talkers. Optimizing speech intelligibility requires that progress be monitored closely. Although direct assessment of…

  17. Research on application of intelligent computation based LUCC model in urbanization process

    NASA Astrophysics Data System (ADS)

    Chen, Zemin

    2007-06-01

    Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents

  18. Towards an intelligent system for clinical guidance on wheelchair tilt and recline usage.

    PubMed

    Fu, Jicheng; Wiechmann, Paul; Jan, Yih-Kuen; Jones, Maria

    2012-01-01

    We propose to construct an intelligent system for clinical guidance on how to effectively use power wheelchair tilt and recline functions. The motivations fall into the following two aspects. (1) People with spinal cord injury (SCI) are vulnerable to pressure ulcers. SCI can lead to structural and functional changes below the injury level that may predispose individuals to tissue breakdown. As a result, pressure ulcers can significantly affect the quality of life, including pain, infection, altered body image, and even mortality. (2) Clinically, wheelchair power seat function, i.e., tilt and recline, is recommended for relieving sitting-induced pressures. The goal is to increase skin blood flow for the ischemic soft tissues to avoid irreversible damage. Due to variations in the level and completeness of SCI, the effectiveness of using wheelchair tilt and recline to reduce pressure ulcer risks has considerable room for improvement. Our previous study indicated that the blood flow of people with SCI may respond very differently to wheelchair tilt and recline settings. In this study, we propose to use the artificial neural network (ANN) to predict how wheelchair power seat functions affect blood flow response to seating pressure. This is regression learning because the predicted outputs are numerical values. Besides the challenging nature of regression learning, ANN may suffer from the overfitting problem which, when occurring, leads to poor predictive quality (i.e., cannot generalize). We propose using the particle swarm optimization (PSO) algorithm to train ANN to mitigate the impact of overfitting so that ANN can make correct predictions on both existing and new data. Experimental results show that the proposed approach is promising to improve ANN's predictive quality for new data. PMID:23366964

  19. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Wash, Darrel Patrick

    1989-01-01

    Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

  20. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Smith, Linda C.; And Others

    1988-01-01

    A series of articles focuses on artificial intelligence research and development to enhance information systems and services. Topics discussed include knowledge base designs, expert system development tools, natural language processing, expert systems for reference services, and the role that artificial intelligence concepts should have in…

  1. Intelligent processing equipment developments within the Navy's Manufacturing Technology Centers of Excellence

    NASA Astrophysics Data System (ADS)

    Nanzetta, Philip

    1992-04-01

    The U.S. Navy has had an active Manufacturing Technology (MANTECH) Program aimed at developing advanced production processes and equipment since the late-1960's. During the past decade, however, the resources of the MANTECH program were concentrated in Centers of Excellence. Today, the Navy sponsors four manufacturing technology Centers of Excellence: the Automated Manufacturing Research Facility (AMRF); the Electronics Manufacturing Productivity Facility (EMPF); the National Center for Excellence in Metalworking Technology (NCEMT); and the Center of Excellence for Composites Manufacturing Technology (CECMT). This paper briefly describes each of the centers and summarizes typical Intelligent Equipment Processing (IEP) projects that were undertaken.

  2. Intelligent Processing Equipment Developments Within the Navy's Manufacturing Technology Centers of Excellence

    NASA Technical Reports Server (NTRS)

    Nanzetta, Philip

    1992-01-01

    The U.S. Navy has had an active Manufacturing Technology (MANTECH) Program aimed at developing advanced production processes and equipment since the late-1960's. During the past decade, however, the resources of the MANTECH program were concentrated in Centers of Excellence. Today, the Navy sponsors four manufacturing technology Centers of Excellence: the Automated Manufacturing Research Facility (AMRF); the Electronics Manufacturing Productivity Facility (EMPF); the National Center for Excellence in Metalworking Technology (NCEMT); and the Center of Excellence for Composites Manufacturing Technology (CECMT). This paper briefly describes each of the centers and summarizes typical Intelligent Equipment Processing (IEP) projects that were undertaken.

  3. An intelligent factory-wide optimal operation system for continuous production process

    NASA Astrophysics Data System (ADS)

    Ding, Jinliang; Chai, Tianyou; Wang, Hongfeng; Wang, Junwei; Zheng, Xiuping

    2016-03-01

    In this study, a novel intelligent factory-wide operation system for a continuous production process is designed to optimise the entire production process, which consists of multiple units; furthermore, this system is developed using process operational data to avoid the complexity of mathematical modelling of the continuous production process. The data-driven approach aims to specify the structure of the optimal operation system; in particular, the operational data of the process are used to formulate each part of the system. In this context, the domain knowledge of process engineers is utilised, and a closed-loop dynamic optimisation strategy, which combines feedback, performance prediction, feed-forward, and dynamic tuning schemes into a framework, is employed. The effectiveness of the proposed system has been verified using industrial experimental results.

  4. Are Intelligence and Creativity Really so Different?: Fluid Intelligence, Executive Processes, and Strategy Use in Divergent Thinking

    ERIC Educational Resources Information Center

    Nusbaum, Emily C.; Silvia, Paul J.

    2011-01-01

    Contemporary creativity research views intelligence and creativity as essentially unrelated abilities, and many studies have found only modest correlations between them. The present research, based on improved approaches to creativity assessment and latent variable modeling, proposes that fluid and executive cognition is in fact central to…

  5. The communication process in clinical settings.

    PubMed

    Mathews, J J

    1983-01-01

    The communication of information in clinical settings is fraught with problems despite avowed common aims of practitioners and patients. Some reasons for the problematic nature of clinical communication are incongruent frames of reference about what information ought to be shared, sociolinguistic differences and social distance between practitioners and patients. Communication between doctors and nurses is also problematic, largely due to differences in ideology between the professions about what ought to be communicated to patients about their illness and who is ratified to give such information. Recent social changes, such as the Patient Bill of Rights and informed consent which assure access to information, and new conceptualizations of the nurse's role, warrant continued study of the communication process especially in regard to what constitutes appropriate and acceptable information about a patient's illness and who ought to give such information to patients. The purpose of this paper is to outline characteristics of communication in clinical settings and to provide a literature review of patient and practitioner interaction studies in order to reflect on why information exchange is problematic in clinical settings. A framework for presentation of the problems employs principles from interaction and role theory to investigate clinical communication from three viewpoints: (1) the level of shared knowledge between participants; (2) the effect of status, role and ideology on transactions; and (3) the regulation of communication imposed by features of the institution. PMID:6359453

  6. Integration of computer-aided design and manufacturing through artificial-intelligence-based process planning

    SciTech Connect

    Arunthavanathan, V.

    1988-01-01

    The research effort reported in this thesis is directed towards the integration of design, process planning, and manufacturing. The principal notion used in system integration through information integration. The main outcome of this research effort is an artificial-intelligence-based computer-aided generative process planning system, which would use a feature-based symbolic geometry as its input. The feature-based symbolic data structure is used as the common data between design, process planning, and manufacturing. As the commercial computer-aided design systems would not generate a feature-based data base, special interfaces are designed and used. As part of the solution strategy, a module to analyze the symbolic geometry from a global perspective is developed. This module imitates a human process planner and derives some overall assertions. The enhanced geometry data is then used by a rule-based expert system to develop the process plan.

  7. Optimization process planning using hybrid genetic algorithm and intelligent search for job shop machining

    PubMed Central

    Salehi, Mojtaba

    2010-01-01

    Optimization of process planning is considered as the key technology for computer-aided process planning which is a rather complex and difficult procedure. A good process plan of a part is built up based on two elements: (1) the optimized sequence of the operations of the part; and (2) the optimized selection of the machine, cutting tool and Tool Access Direction (TAD) for each operation. In the present work, the process planning is divided into preliminary planning, and secondary/detailed planning. In the preliminary stage, based on the analysis of order and clustering constraints as a compulsive constraint aggregation in operation sequencing and using an intelligent searching strategy, the feasible sequences are generated. Then, in the detailed planning stage, using the genetic algorithm which prunes the initial feasible sequences, the optimized operation sequence and the optimized selection of the machine, cutting tool and TAD for each operation based on optimization constraints as an additive constraint aggregation are obtained. The main contribution of this work is the optimization of sequence of the operations of the part, and optimization of machine selection, cutting tool and TAD for each operation using the intelligent search and genetic algorithm simultaneously. PMID:21845020

  8. Function-based design process for an intelligent ground vehicle vision system

    NASA Astrophysics Data System (ADS)

    Nagel, Robert L.; Perry, Kenneth L.; Stone, Robert B.; McAdams, Daniel A.

    2010-10-01

    An engineering design framework for an autonomous ground vehicle vision system is discussed. We present both the conceptual and physical design by following the design process, development and testing of an intelligent ground vehicle vision system constructed for the 2008 Intelligent Ground Vehicle Competition. During conceptual design, the requirements for the vision system are explored via functional and process analysis considering the flows into the vehicle and the transformations of those flows. The conceptual design phase concludes with a vision system design that is modular in both hardware and software and is based on a laser range finder and camera for visual perception. During physical design, prototypes are developed and tested independently, following the modular interfaces identified during conceptual design. Prototype models, once functional, are implemented into the final design. The final vision system design uses a ray-casting algorithm to process camera and laser range finder data and identify potential paths. The ray-casting algorithm is a single thread of the robot's multithreaded application. Other threads control motion, provide feedback, and process sensory data. Once integrated, both hardware and software testing are performed on the robot. We discuss the robot's performance and the lessons learned.

  9. The Relationship between the Kaufman Brief Intelligence Test and the Wechsler Intelligence Scale for Children-III in a Clinical Sample.

    ERIC Educational Resources Information Center

    Javorsky, James

    1993-01-01

    This study found a significant relationship between the Kaufman Brief Intelligence Test (K-BIT) and the Wechsler Intelligence Scale for Children-III (WISC-III) in 63 youth at a psychiatric hospital. A multiple regression equation was derived to provide an estimate of the WISC-III Full Scale Intelligence Quotient using the composites of the K-BIT.…

  10. Age-related decline in cognitive control: the role of fluid intelligence and processing speed

    PubMed Central

    2014-01-01

    Background Research on cognitive control suggests an age-related decline in proactive control abilities whereas reactive control seems to remain intact. However, the reason of the differential age effect on cognitive control efficiency is still unclear. This study investigated the potential influence of fluid intelligence and processing speed on the selective age-related decline in proactive control. Eighty young and 80 healthy older adults were included in this study. The participants were submitted to a working memory recognition paradigm, assessing proactive and reactive cognitive control by manipulating the interference level across items. Results Repeated measures ANOVAs and hierarchical linear regressions indicated that the ability to appropriately use cognitive control processes during aging seems to be at least partially affected by the amount of available cognitive resources (assessed by fluid intelligence and processing speed abilities). Conclusions This study highlights the potential role of cognitive resources on the selective age-related decline in proactive control, suggesting the importance of a more exhaustive approach considering the confounding variables during cognitive control assessment. PMID:24401034

  11. Development of inherently safe and environmentally acceptable intelligent processing technologies for HTS materials

    SciTech Connect

    Peterson, E.J.; Wangen, L.E.; Ott, K.C.; Muenchausen, R.E.; Parkinson, W.J. )

    1989-01-01

    The development of new processing technologies for the production, fabrication, and application of advanced materials proceeds through several complementary dimensions. The advanced materials dimension includes basic research on materials synthesis, composition, and properties; materials processing research; engineering characterization and materials applications; and product and process engineering. The health and environmental dimension includes identification of potential health and environmental constraints; characterization of candidate processes for waste and effluent quality; process optimization for both economic and environmental benefit; and development of control strategies to deal with health and environmental problems that cannot be solved through process modification. The intelligent processing dimension includes application of available sensors and the development of new diagnostics for real-time process measurements; development of control strategies and expert systems to use these process measurements for real-time process control; and development of capabilities to optimize working processes in real-time for both product quality and environmental acceptability. This paper discusses these issues in the context of the Laboratory's efforts to develop technologies based on the processing of the new high-temperature superconducting ceramic oxides.

  12. The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process

    SciTech Connect

    Elter, M.; Schulz-Wendtland, R.; Wittenberg, T.

    2007-11-15

    Mammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to approximately 70% unnecessary biopsies with benign outcomes. To reduce the high number of unnecessary breast biopsies, several computer-aided diagnosis (CAD) systems have been proposed in the last several years. These systems help physicians in their decision to perform a breast biopsy on a suspicious lesion seen in a mammogram or to perform a short term follow-up examination instead. We present two novel CAD approaches that both emphasize an intelligible decision process to predict breast biopsy outcomes from BI-RADS findings. An intelligible reasoning process is an important requirement for the acceptance of CAD systems by physicians. The first approach induces a global model based on decison-tree learning. The second approach is based on case-based reasoning and applies an entropic similarity measure. We have evaluated the performance of both CAD approaches on two large publicly available mammography reference databases using receiver operating characteristic (ROC) analysis, bootstrap sampling, and the ANOVA statistical significance test. Both approaches outperform the diagnosis decisions of the physicians. Hence, both systems have the potential to reduce the number of unnecessary breast biopsies in clinical practice. A comparison of the performance of the proposed decision tree and CBR approaches with a state of the art approach based on artificial neural networks (ANN) shows that the CBR approach performs slightly better than the ANN approach, which in turn results in slightly better performance than the decision-tree approach. The differences are statistically significant (p value <0.001). On 2100 masses extracted from the DDSM database, the CRB approach for example resulted in an area under the ROC curve of A(z)=0.89{+-}0.01, the decision-tree approach in A(z)=0

  13. Research on application of intelligent computation based LUCC model in urbanization process

    NASA Astrophysics Data System (ADS)

    Chen, Zemin

    2007-06-01

    Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents

  14. Emotionally Intelligent Leadership: An Integrative, Process-Oriented Theory of Student Leadership

    ERIC Educational Resources Information Center

    Allen, Scott J.; Shankman, Marcy Levy; Miguel, Rosanna F.

    2012-01-01

    Emotionally intelligent leadership (EIL) theory combines relevant models, theories, and research in the areas of emotional intelligence (EI) and leadership. With an intentional focus on context, self and others, emotionally intelligent leaders facilitate the attainment of desired outcomes. The 21 capacities described by the theory equip…

  15. Hybrid intelligent control of substrate feeding for industrial fed-batch chlortetracycline fermentation process.

    PubMed

    Jin, Huaiping; Chen, Xiangguang; Yang, Jianwen; Wu, Lei; Wang, Li

    2014-11-01

    The lack of accurate process models and reliable online sensors for substrate measurements poses significant challenges for controlling substrate feeding accurately, automatically and optimally in fed-batch fermentation industries. It is still a common practice to regulate the feeding rate based upon manual operations. To address this issue, a hybrid intelligent control method is proposed to enable automatic substrate feeding. The resulting control system consists of three modules: a presetting module for providing initial set-points; a predictive module for estimating substrate concentration online based on a new time interval-varying soft sensing algorithm; and a feedback compensator using expert rules. The effectiveness of the proposed approach is demonstrated through its successful applications to the industrial fed-batch chlortetracycline fermentation process. PMID:25245525

  16. Image restoration in multisensor missile seeker environments for design of intelligent integrated processing architectures

    NASA Astrophysics Data System (ADS)

    Sundareshan, Malur K.; Pang, Ho-Yuen; Amphay, Sengvieng A.; Sundstrom, Bryce M.

    1997-10-01

    Two major factors that could limit successful implementations of image restoration and superresolution algorithms in missile seeker applications are, (i) lack of accurate knowledge of sensor point spread function (PSF) parameters, and (ii) noise-induced artifacts in the restoration process. The robustness properties of a recently developed blind iterative Maximum Likelihood (ML) restoration algorithm to inaccuracies in sensor PSF are established in this paper. Two modifications to this algorithm that successfully equip it to suppress artifacts resulting from the presence of high frequency noise components are outlined. Performance evaluation studies with 1D and 2D signals are included to demonstrate that these algorithms have superresolution capabilities while possessing also attractive robustness and artifact suppression properties. The algorithms developed here hence contribute to efficient designs of intelligent integrated processing architectures for smart weapon applications.

  17. Application of artificial intelligence to melter control: Realtime process advisor for the scale melter facility

    SciTech Connect

    Edwards, Jr, R E

    1988-01-01

    The Defense Waste Processing Facility (DWPF) at the Savannah River Plant (SRP) is currently under construction and when completed will process high-level radioactive waste into a borosilicate glass wasteform. This facility will consist of numerous batch chemical processing steps as well as the continuous operation of a joule-heated melter and its off-gas treatment system. A realtime process advisor system based on Artificial Intelligence (AI) techniques has been developed and is currently in use at the semiworks facility, which is operating a 2/3 scale of the DWPF joule-heated melter. The melter advisor system interfaces to the existing data collection and control system and monitors current operations of this facility. The advisor then provides advice to operators and engineers when it identifies process problems. The current system is capable of identifying process problems such as feed system pluggages and thermocouple failures and providing recommended actions. The system also provides facilities normally with distributed control systems. These include the ability to display process flowsheets, monitor alarm conditions, and check the status of process interlocks. 7 figs.

  18. Use of conditional rule structure to automate clinical decision support: a comparison of artificial intelligence and deterministic programming techniques.

    PubMed

    Friedman, R H; Frank, A D

    1983-08-01

    A rule-based computer system was developed to perform clinical decision-making support within a medical information system, oncology practice, and clinical research. This rule-based system, which has been programmed using deterministic rules, possesses features of generalizability, modularity of structure, convenience in rule acquisition, explanability, and utility for patient care and teaching, features which have been identified as advantages of artificial intelligence (AI) rule-based systems. Formal rules are primarily represented as conditional statements; common conditions and actions are stored in system dictionaries so that they can be recalled at any time to form new decision rules. Important similarities and differences exist in the structure of this system and clinical computer systems utilizing artificial intelligence (AI) production rule techniques. The non-AI rule-based system possesses advantages in cost and ease of implementation. The degree to which significant medical decision problems can be solved by this technique remains uncertain as does whether the more complex AI methodologies will be required. PMID:6352165

  19. (Actino)Bacterial "intelligence": using comparative genomics to unravel the information processing capacities of microbes.

    PubMed

    Pinto, Daniela; Mascher, Thorsten

    2016-08-01

    Bacterial genomes encode numerous and often sophisticated signaling devices to perceive changes in their environment and mount appropriate adaptive responses. With their help, microbes are able to orchestrate specific decision-making processes that alter the cellular behavior, but also integrate and communicate information. Moreover and beyond, some signal transducing systems also enable bacteria to remember and learn from previous stimuli to anticipate environmental changes. As recently suggested, all of these aspects indicate that bacteria do, in fact, exhibit cognition remarkably reminiscent of what we refer to as intelligent behavior, at least when referred to higher eukaryotes. In this essay, comprehensive data derived from comparative genomics analyses of microbial signal transduction systems are used to probe the concept of cognition in bacterial cells. Using a recent comprehensive analysis of over 100 actinobacterial genomes as a test case, we illustrate the different layers of the capacities of bacteria that result in cognitive and behavioral complexity as well as some form of 'bacterial intelligence'. We try to raise awareness to approach bacteria as cognitive organisms and believe that this view would enrich and open a new path in the experimental studies of bacterial signal transducing systems. PMID:26852121

  20. Emotional Intelligence: The Sine Qua Non for a Clinical Leadership Toolbox

    ERIC Educational Resources Information Center

    Rao, Paul R.

    2006-01-01

    Over the past decade, it has become increasingly clear that although IQ and technical skills are important, emotional intelligence is the Sine Qua Non of leadership. According to Goleman [Goleman, D. (1998). What makes a leader? "Harvard Business Review," 93-102] "effective leaders are alike in one crucial way: they all have a high degree of…

  1. Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception: An Event-Related Potential Study.

    PubMed

    Liu, Tongran; Xiao, Tong; Li, Xiaoyan; Shi, Jiannong

    2015-01-01

    The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolescent males were enrolled: a high IQ group and an average IQ group. Age and parental socioeconomic status were matched between the two groups. Participants counted the numbers of the central cross changes while paired facial expressions were presented bilaterally in an oddball paradigm. There were two experimental conditions: a happy condition, in which neutral expressions were standard stimuli (p = 0.8) and happy expressions were deviant stimuli (p = 0.2), and a fearful condition, in which neutral expressions were standard stimuli (p = 0.8) and fearful expressions were deviant stimuli (p = 0.2). Participants were required to concentrate on the primary task of counting the central cross changes and to ignore the expressions to ensure that facial expression processing was automatic. Event-related potentials (ERPs) were obtained during the tasks. The visual mismatch negativity (vMMN) components were analyzed to index the automatic neural processing of facial expressions. For the early vMMN (50-130 ms), the high IQ group showed more negative vMMN amplitudes than the average IQ group in the happy condition. For the late vMMN (320-450 ms), the high IQ group had greater vMMN responses than the average IQ group over frontal and occipito-temporal areas in the fearful condition, and the average IQ group evoked larger vMMN amplitudes than the high IQ group over occipito-temporal areas in the happy condition. The present study elucidated the close relationships between fluid intelligence and pre-attentive change detection on social-emotional information. PMID:26375031

  2. Fluid Intelligence and Automatic Neural Processes in Facial Expression Perception: An Event-Related Potential Study

    PubMed Central

    Liu, Tongran; Xiao, Tong; Li, Xiaoyan; Shi, Jiannong

    2015-01-01

    The relationship between human fluid intelligence and social-emotional abilities has been a topic of considerable interest. The current study investigated whether adolescents with different intellectual levels had different automatic neural processing of facial expressions. Two groups of adolescent males were enrolled: a high IQ group and an average IQ group. Age and parental socioeconomic status were matched between the two groups. Participants counted the numbers of the central cross changes while paired facial expressions were presented bilaterally in an oddball paradigm. There were two experimental conditions: a happy condition, in which neutral expressions were standard stimuli (p = 0.8) and happy expressions were deviant stimuli (p = 0.2), and a fearful condition, in which neutral expressions were standard stimuli (p = 0.8) and fearful expressions were deviant stimuli (p = 0.2). Participants were required to concentrate on the primary task of counting the central cross changes and to ignore the expressions to ensure that facial expression processing was automatic. Event-related potentials (ERPs) were obtained during the tasks. The visual mismatch negativity (vMMN) components were analyzed to index the automatic neural processing of facial expressions. For the early vMMN (50–130 ms), the high IQ group showed more negative vMMN amplitudes than the average IQ group in the happy condition. For the late vMMN (320–450 ms), the high IQ group had greater vMMN responses than the average IQ group over frontal and occipito-temporal areas in the fearful condition, and the average IQ group evoked larger vMMN amplitudes than the high IQ group over occipito-temporal areas in the happy condition. The present study elucidated the close relationships between fluid intelligence and pre-attentive change detection on social-emotional information. PMID:26375031

  3. Efficient computer architecture for the realization of realtime linear systems with intelligent processing of large sparse matrices

    SciTech Connect

    Chae, S.H.

    1988-01-01

    This dissertation describes an intelligent rule-based iterative parallel algorithm for solving randomly distributed large sparse linear systems of equations, and also the efficient parallel processing computer architecture for the implementation of the algorithm. Implemented with the Jacobi iterative method, the intelligent rule-based algorithm reduces the parallel execution time by reducing the individual inner product operation time. A static dataflow architecture is proposed for implementing the intelligent rule-based iterative parallel algorithm. The dataflow computer architecture has the capability to support parallelism exploited in the algorithm, and the execute the algorithm asynchronously. The proposed computer architecture consists of a main processor, several control processors, scalar slave processors, and pipelined slave processors. Several control processors share with the main processor the heavy burden of allocation of operation packets and of sychronization for parallel processing.

  4. Telecommunications issues of intelligent database management for ground processing systems in the EOS era

    NASA Technical Reports Server (NTRS)

    Touch, Joseph D.

    1994-01-01

    Future NASA earth science missions, including the Earth Observing System (EOS), will be generating vast amounts of data that must be processed and stored at various locations around the world. Here we present a stepwise-refinement of the intelligent database management (IDM) of the distributed active archive center (DAAC - one of seven regionally-located EOSDIS archive sites) architecture, to showcase the telecommunications issues involved. We develop this architecture into a general overall design. We show that the current evolution of protocols is sufficient to support IDM at Gbps rates over large distances. We also show that network design can accommodate a flexible data ingestion storage pipeline and a user extraction and visualization engine, without interference between the two.

  5. Intelligent Processing Equipment Research and Development Programs of the Department of Commerce

    NASA Technical Reports Server (NTRS)

    Simpson, J. A.

    1992-01-01

    The intelligence processing equipment (IPE) research and development (R&D) programs of the Department of Commerce are carried out within the National Institute of Standards and Technology (NIST). This institute has had work in support of industrial productivity as part of its mission since its founding in 1901. With the advent of factory automation these efforts have increasingly turned to R&D in IPE. The Manufacturing Engineering Laboratory (MEL) of NIST devotes a major fraction of its efforts to this end while other elements within the organization, notably the Material Science and Engineering Laboratory, have smaller but significant programs. An inventory of all such programs at NIST and a representative selection of projects that at least demonstrate the scope of the efforts are presented.

  6. Effects of social exclusion on cognitive processes: anticipated aloneness reduces intelligent thought.

    PubMed

    Baumeister, Roy F; Twenge, Jean M; Nuss, Christopher K

    2002-10-01

    Three studies examined the effects of randomly assigned messages of social exclusion. In all 3 studies, significant and large decrements in intelligent thought (including IQ and Graduate Record Examination test performance) were found among people told they were likely to end up alone in life. The decline in cognitive performance was found in complex cognitive tasks such as effortful logic and reasoning; simple information processing remained intact despite the social exclusion. The effects were specific to social exclusion, as participants who received predictions of future nonsocial misfortunes (accidents and injuries) performed well on the cognitive tests. The cognitive impairments appeared to involve reductions in both speed (effort) and accuracy. The effect was not mediated by mood. PMID:12374437

  7. Service with a smile: do emotional intelligence, gender, and autonomy moderate the emotional labor process?

    PubMed

    Johnson, Hazel-Anne M; Spector, Paul E

    2007-10-01

    This survey study of 176 participants from eight customer service organizations investigated how individual factors moderate the impact of emotional labor strategies on employee well-being. Hierarchical regression analyses indicated that gender and autonomy were significant moderators of the relationships between emotional labor strategies and the personal outcomes of emotional exhaustion, affective well-being, and job satisfaction. Females were more likely to experience negative consequences when engaging in surface acting. Autonomy served to alleviate negative outcomes for individuals who used emotional labor strategies often. Contrary to our hypotheses, emotional intelligence did not moderate the relationship between the emotional labor strategies and personal outcomes. Results demonstrated how the emotional labor process can influence employee well-being. PMID:17953492

  8. The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

    PubMed Central

    Gutiérrez-Cobo, María José; Cabello, Rosario; Fernández-Berrocal, Pablo

    2016-01-01

    Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through “cool” (i.e., not emotionally laden) and “hot” (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals’ emotional information processing abilities. PMID:27303277

  9. The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review.

    PubMed

    Gutiérrez-Cobo, María José; Cabello, Rosario; Fernández-Berrocal, Pablo

    2016-01-01

    Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through "cool" (i.e., not emotionally laden) and "hot" (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals' emotional information processing abilities. PMID:27303277

  10. INTELLIGENT MONITORING SYSTEM WITH HIGH TEMPERATURE DISTRIBUTED FIBEROPTIC SENSOR FOR POWER PLANT COMBUSTION PROCESSES

    SciTech Connect

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2003-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, the efforts focused on developing an innovative high temperature distributed fiber optic sensor by fabricating in-fiber gratings in single crystal sapphire fibers. So far, our major accomplishments include: Successfully grown alumina cladding layers on single crystal sapphire fibers, successfully fabricated in-fiber gratings in single crystal sapphire fibers, and successfully developed a high temperature distributed fiber optic sensor. Under Task 2, the emphasis has been on putting into place a computational capability for simulation of combustors. A PC workstation was acquired with dual Xeon processors and sufficient memory to support 3-D calculations. An existing license for Fluent software was expanded to include two PC processes, where the existing license was for a Unix workstation. Under Task 3, intelligent state estimation theory is being developed which will map the set of 1D (located judiciously within a 3D environment) measurement data into a 3D temperature profile. This theory presents a semigroup

  11. Artificial intelligence environment for the analysis and classification of errors in discrete sequential processes

    SciTech Connect

    Ahuja, S.B.

    1985-01-01

    The study evolved over two phases. First, an existing artificial intelligence technique, heuristic state space search, was used to successfully address and resolve significant issues that have prevented automated error classification in the past. A general method was devised for constructing heuristic functions to guide the search process, which successfully avoided the combinatorial explosion normally associated with search paradigms. A prototype error classifier, SLIPS/I, was tested and evaluated using both real-world data from a databank of speech errors and artificially generated random errors. It showed that heuristic state space search is a viable paradigm for conducting domain-independent error classification within practical limits of memory space and processing time. The second phase considered sequential error classification as a diagnostic process in which a set of disorders (elementary errors) is said to be a classification of an observed set of manifestations (local differences between an intended sequence and the errorful sequence) it if provides a regular cover for them. Using a model of abductive logic based on the set covering theory, this new perspective of error classification as a diagnostic process models human diagnostic reasoning in classifying complex errors. A high level, non-procedural error specification language (ESL) was also designed.

  12. Prodiag--a hybrid artificial intelligence based reactor diagnostic system for process faults

    SciTech Connect

    Reifman, J.; Wei, T.Y.C.; Vitela, J.E.; Applequist, C. A.; Chasensky, T.M.

    1996-03-01

    Commonwealth Research Corporation (CRC) and Argonne National Laboratory (ANL) are collaborating on a DOE-sponsored Cooperative Research and Development Agreement (CRADA), project to perform feasibility studies on a novel approach to Artificial Intelligence (Al) based diagnostics for component faults in nuclear power plants. Investigations are being performed in the construction of a first-principles physics-based plant level process diagnostic expert system (ES) and the identification of component-level fault patterns through operating component characteristics using artificial neural networks (ANNs). The purpose of the proof-of-concept project is to develop a computer-based system using this Al approach to assist process plant operators during off-normal plant conditions. The proposed computer-based system will use thermal hydraulic (T-H) signals complemented by other non-T-H signals available in the data stream to provide the process operator with the component which most likely caused the observed process disturbance.To demonstrate the scale-up feasibility of the proposed diagnostic system it is being developed for use with the Chemical Volume Control System (CVCS) of a nuclear power plant. A full-scope operator training simulator representing the Commonwealth Edison Braidwood nuclear power plant is being used both as the source of development data and as the means to evaluate the advantages of the proposed diagnostic system. This is an ongoing multi-year project and this paper presents the results to date of the CRADA phase.

  13. Validation of the Luria-Nebraska Intellectual Processes Scale as a Measure of Intelligence in Male Alcoholics.

    ERIC Educational Resources Information Center

    Kivlahan, Daniel R.; And Others

    1985-01-01

    Investigated the Luria-Nebraska Intellectual Processes Scale (IPS) as a predictor of Wechsler Adult Intelligence Scale (WAIS) IQs among alcoholic inpatients. Strong correlations were found between IPS and WAIS Verbal IQ and Full Scale IQ; however, the correlation with Performance IQ was only -.41. (NRB)

  14. Problem-Based Learning Pedagogies: Psychological Processes and Enhancement of Intelligences

    ERIC Educational Resources Information Center

    Tan, Oon-Seng

    2007-01-01

    Education in this 21st century is concerned with developing intelligences. Problem solving in real-world contexts involves multiple ways of knowing and learning. Intelligence in the real world involves not only learning how to do things effectively but also more importantly the ability to deal with novelty and growing our capacity to adapt, select…

  15. The Role of Emotional Intelligence in the Career Commitment and Decision-Making Process.

    ERIC Educational Resources Information Center

    Brown, Chris; George-Curran, Roberta; Smith, Marian L.

    2003-01-01

    Measures of emotional intelligence, vocational exploration, and career decision-making self-efficacy (CDMSE) were completed by 288 college students. Emotional intelligence was positively related to CDMSE. Utilization of feelings and self-control factors were inversely related to vocational exploration and commitment. Gender was not a moderator of…

  16. Gender Differences in the Relationship between Emotional Intelligence and Right Hemisphere Lateralization for Facial Processing

    ERIC Educational Resources Information Center

    Castro-Schilo, Laura; Kee, Daniel W.

    2010-01-01

    The present study examined relationships between emotional intelligence, measured by the Mayer-Salovey-Caruso Emotional Intelligence Test, and right hemisphere dominance for a free vision chimeric face test. A sample of 122 ethnically diverse college students participated and completed online versions of the forenamed tests. A hierarchical…

  17. Confirmatory factor analysis of the Wechsler Intelligence Scale for Children--Third Edition in an Australian clinical sample.

    PubMed

    Cockshott, Felicity C; Marsh, Nigel V; Hine, Donald W

    2006-09-01

    A confirmatory factor analysis was conducted on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III; D. Wechsler, 1991) with a sample of 579 Australian children referred for assessment because of academic difficulties in the classroom. The children were administered the WISC-III as part of the initial eligibility determination process for funding of special education services. The children were aged between 6 years and 16 years 7 months. One-, two-, three-, and four-factor models were tested. The four-factor model proposed in the WISC-III manual fit the data significantly better than all other models tested. PMID:16953739

  18. Open source clinical portals: a model for healthcare information systems to support care processes and feed clinical research. An Italian case of design, development, reuse, and exploitation.

    PubMed

    Locatelli, Paolo; Baj, Emanuele; Restifo, Nicola; Origgi, Gianni; Bragagia, Silvia

    2011-01-01

    Open source is a still unexploited chance for healthcare organizations and technology providers to answer to a growing demand for innovation and to join economical benefits with a new way of managing hospital information systems. This chapter will present the case of the web enterprise clinical portal developed in Italy by Niguarda Hospital in Milan with the support of Fondazione Politecnico di Milano, to enable a paperless environment for clinical and administrative activities in the ward. This represents also one rare case of open source technology and reuse in the healthcare sector, as the system's porting is now taking place at Besta Neurological Institute in Milan. This institute is customizing the portal to feed researchers with structured clinical data collected in its portal's patient records, so that they can be analyzed, e.g., through business intelligence tools. Both organizational and clinical advantages are investigated, from process monitoring, to semantic data structuring, to recognition of common patterns in care processes. PMID:21431608

  19. An Intelligent Clinical Decision Support System for Patient-Specific Predictions to Improve Cervical Intraepithelial Neoplasia Detection

    PubMed Central

    Bountris, Panagiotis; Haritou, Maria; Pouliakis, Abraham; Margari, Niki; Kyrgiou, Maria; Spathis, Aris; Pappas, Asimakis; Panayiotides, Ioannis; Paraskevaidis, Evangelos A.; Karakitsos, Petros; Koutsouris, Dimitrios-Dionyssios

    2014-01-01

    Nowadays, there are molecular biology techniques providing information related to cervical cancer and its cause: the human Papillomavirus (HPV), including DNA microarrays identifying HPV subtypes, mRNA techniques such as nucleic acid based amplification or flow cytometry identifying E6/E7 oncogenes, and immunocytochemistry techniques such as overexpression of p16. Each one of these techniques has its own performance, limitations and advantages, thus a combinatorial approach via computational intelligence methods could exploit the benefits of each method and produce more accurate results. In this article we propose a clinical decision support system (CDSS), composed by artificial neural networks, intelligently combining the results of classic and ancillary techniques for diagnostic accuracy improvement. We evaluated this method on 740 cases with complete series of cytological assessment, molecular tests, and colposcopy examination. The CDSS demonstrated high sensitivity (89.4%), high specificity (97.1%), high positive predictive value (89.4%), and high negative predictive value (97.1%), for detecting cervical intraepithelial neoplasia grade 2 or worse (CIN2+). In comparison to the tests involved in this study and their combinations, the CDSS produced the most balanced results in terms of sensitivity, specificity, PPV, and NPV. The proposed system may reduce the referral rate for colposcopy and guide personalised management and therapeutic interventions. PMID:24812614

  20. Sarpi, A Solution For Artificial Intelligence In Image Processing At Intermediate Level

    NASA Astrophysics Data System (ADS)

    Tagliarino, Patricia; Rogala, Jean-Pierre

    1989-03-01

    Our reflection, on the elements of existing Image Processing systems (currently Image Processing, Symbol interpretation level, control mode, level of extracted features) and corresponding use of Artificial Intelligence, leads us to the definition of the SARPI system. This system performs the extraction of features of intermediate level. In the present first step of implementation, we limit ourself to line segments. They are associated to a descriptor including several parameters: position, angle, length, cross contrast, ... and precision on all of these parameters. SARPI applies to single or multiple features detection, it finds the requested feature(s) and produces its (their) total or partial (as requested) description. SARPI takes as input the set of requested parameters and available values of some feature parameters (typically: qualitative measure of contrast). Its main part is a control module automatically generating an Image Processing sequence to solve the problem (extraction of requested feature parameters). Rules allow to divide the problem in elementary ones with respect to the kind of input parameters. They allow the selection of an elementary function set according to the requested feature parameters and the known parameters; in this way, if the known information is insufficient, the control module selects and executes elementary functions that look for the missing information. Each of these elementary functions is pre-associated to Image Procedures and heuristics that select the appropriate procedures according to thc values of the input parameters. The parameters of the image processes are controlled automatically by the precision on the requested feature parameters. Particularly, the sampling steps of the parameters ρ and θ of the 'lough transform are calculated from the requested precision of the feature parameters. The selected Image Processings are applied on a region of the image that is calculated from the approximated position of the

  1. Using swarm intelligence to boost the root cause analysis process and enhance patient safety.

    PubMed

    2016-03-01

    In an effort to strengthen patient safety, leadership at the University of Kentucky HealthCare (UKHC) decided to replace its traditional approach to root cause analysis (RCA) with a process based on swarm intelligence, a concept borrowed from other industries. Under this process, when a problem or error is identified, staff quickly hold a swarm--a meeting in which all those involved in the incident or problem quickly evaluate why the issue occurred and identify potential solutions for implementation. A pillar of the swarm concept is a mandate that there be no punishments or finger-pointing during the swarms. The idea is to encourage staff to be forthcoming to achieve effective solutions. Typically, swarms last for one hour and result in action plans designed to correct problems or deficiencies within a specific period of time. The ED was one of the first areas where UKHC applied swarms. For example, hospital administrators note that the approach has been used to address issues involving patient flow, triage protocols, assessments, overcrowding, and boarding. After seven years, incident reporting at UKHC has increased by 52%, and the health system has experienced a 37% decrease in the observed-to-expected mortality ratio. PMID:26979047

  2. Intelligent information system: for automation of airborne early warning crew decision processes

    NASA Astrophysics Data System (ADS)

    Chin, Hubert H.

    1991-03-01

    This paper describes an automation of AEW crew decision processed implemented in an intelligent information system for an advanced AEW aircraft platform. The system utilizes the existing AEW aircraft database and knowledge base such that the database can provide sufficient data to solve the sizable AEW problems. A database management system is recommended for managing the large amount of data. In order to expand a conventional expert system so that is has the capacity to solve the sizable problems, a cooperative model is required to coordinate with five expert systems in the cooperative decision process. The proposed model partitions the traditional knowledge base into a set of disjoint portions which cover the needs of and are shared by the expert systems. Internal communications take place on common shared portions. A cooperative algorithm is required for updating synchronization and concurrent control. The purpose of this paper is to present a cooperative model for enhancing standard rule-based expert systems to make cooperative decision and to superimpose the global knowledge base and database in a more natural fashion. The tools being used for developing the prototype are the ADA programming language and the ORACLE relational database management system.

  3. An intelligent signal processing and pattern recognition technique for defect identification using an active sensor network

    NASA Astrophysics Data System (ADS)

    Su, Zhongqing; Ye, Lin

    2004-08-01

    The practical utilization of elastic waves, e.g. Rayleigh-Lamb waves, in high-performance structural health monitoring techniques is somewhat impeded due to the complicated wave dispersion phenomena, the existence of multiple wave modes, the high susceptibility to diverse interferences, the bulky sampled data and the difficulty in signal interpretation. An intelligent signal processing and pattern recognition (ISPPR) approach using the wavelet transform and artificial neural network algorithms was developed; this was actualized in a signal processing package (SPP). The ISPPR technique comprehensively functions as signal filtration, data compression, characteristic extraction, information mapping and pattern recognition, capable of extracting essential yet concise features from acquired raw wave signals and further assisting in structural health evaluation. For validation, the SPP was applied to the prediction of crack growth in an alloy structural beam and construction of a damage parameter database for defect identification in CF/EP composite structures. It was clearly apparent that the elastic wave propagation-based damage assessment could be dramatically streamlined by introduction of the ISPPR technique.

  4. Artificial Intelligence Based Selection of Optimal Cutting Tool and Process Parameters for Effective Turning and Milling Operations

    NASA Astrophysics Data System (ADS)

    Saranya, Kunaparaju; John Rozario Jegaraj, J.; Ramesh Kumar, Katta; Venkateshwara Rao, Ghanta

    2016-06-01

    With the increased trend in automation of modern manufacturing industry, the human intervention in routine, repetitive and data specific activities of manufacturing is greatly reduced. In this paper, an attempt has been made to reduce the human intervention in selection of optimal cutting tool and process parameters for metal cutting applications, using Artificial Intelligence techniques. Generally, the selection of appropriate cutting tool and parameters in metal cutting is carried out by experienced technician/cutting tool expert based on his knowledge base or extensive search from huge cutting tool database. The present proposed approach replaces the existing practice of physical search for tools from the databooks/tool catalogues with intelligent knowledge-based selection system. This system employs artificial intelligence based techniques such as artificial neural networks, fuzzy logic and genetic algorithm for decision making and optimization. This intelligence based optimal tool selection strategy is developed using Mathworks Matlab Version 7.11.0 and implemented. The cutting tool database was obtained from the tool catalogues of different tool manufacturers. This paper discusses in detail, the methodology and strategies employed for selection of appropriate cutting tool and optimization of process parameters based on multi-objective optimization criteria considering material removal rate, tool life and tool cost.

  5. Intelligent robots and computer vision

    SciTech Connect

    Casasent, D.P.

    1985-01-01

    This book presents the papers given at a conference which examined artificial intelligence and image processing in relation to robotics. Topics considered at the conference included feature extraction and pattern recognition for computer vision, image processing for intelligent robotics, robot sensors, image understanding and artificial intelligence, optical processing techniques in robotic applications, robot languages and programming, processor architectures for computer vision, mobile robots, multisensor fusion, three-dimensional modeling and recognition, intelligent robots applications, and intelligent robot systems.

  6. Mindfulness as a transtheoretical clinical process.

    PubMed

    Dunn, Rose; Callahan, Jennifer L; Swift, Joshua K

    2013-09-01

    The use of mindfulness in psychotherapy has garnered the attention of both researchers and therapists over recent years. Based on established research, use of mindfulness with clients is recommended to improve awareness during sessions, reduce ruminative thinking patterns, and increase self-compassion regardless of theoretical orientation. In this article, de-identified clinical material is used to illustrate both informal and formal mindfulness training in session. Further, we provide illustrations of presession and within-session therapist mindfulness, recommending that therapists develop their own mindfulness practice, as research has demonstrated that it is related to important clinical skills including attentiveness, nonjudgment, and improved client perceptions. PMID:24000842

  7. Modeling of Steam Distillation Mechanism during Steam Injection Process Using Artificial Intelligence

    PubMed Central

    Ahadi, Arash; Kharrat, Riyaz

    2014-01-01

    Steam distillation as one of the important mechanisms has a great role in oil recovery in thermal methods and so it is important to simulate this process experimentally and theoretically. In this work, the simulation of steam distillation is performed on sixteen sets of crude oil data found in the literature. Artificial intelligence (AI) tools such as artificial neural network (ANN) and also adaptive neurofuzzy interference system (ANFIS) are used in this study as effective methods to simulate the distillate recoveries of these sets of data. Thirteen sets of data were used to train the models and three sets were used to test the models. The developed models are highly compatible with respect to input oil properties and can predict the distillate yield with minimum entry. For showing the performance of the proposed models, simulation of steam distillation is also done using modified Peng-Robinson equation of state. Comparison between the calculated distillates by ANFIS and neural network models and also equation of state-based method indicates that the errors of the ANFIS model for training data and test data sets are lower than those of other methods. PMID:24883365

  8. Modeling of steam distillation mechanism during steam injection process using artificial intelligence.

    PubMed

    Daryasafar, Amin; Ahadi, Arash; Kharrat, Riyaz

    2014-01-01

    Steam distillation as one of the important mechanisms has a great role in oil recovery in thermal methods and so it is important to simulate this process experimentally and theoretically. In this work, the simulation of steam distillation is performed on sixteen sets of crude oil data found in the literature. Artificial intelligence (AI) tools such as artificial neural network (ANN) and also adaptive neurofuzzy interference system (ANFIS) are used in this study as effective methods to simulate the distillate recoveries of these sets of data. Thirteen sets of data were used to train the models and three sets were used to test the models. The developed models are highly compatible with respect to input oil properties and can predict the distillate yield with minimum entry. For showing the performance of the proposed models, simulation of steam distillation is also done using modified Peng-Robinson equation of state. Comparison between the calculated distillates by ANFIS and neural network models and also equation of state-based method indicates that the errors of the ANFIS model for training data and test data sets are lower than those of other methods. PMID:24883365

  9. Two hybrid Artificial Intelligence approaches for modeling rainfall-runoff process

    NASA Astrophysics Data System (ADS)

    Nourani, Vahid; Kisi, Özgür; Komasi, Mehdi

    2011-05-01

    SummaryThe need for accurate modeling of the rainfall-runoff process has grown rapidly in the past decades. However, considering the high stochastic property of the process, many models are still being developed in order to define such a complex phenomenon. Recently, Artificial Intelligence (AI) techniques such as the Artificial Neural Network (ANN) and the Adaptive Neural-Fuzzy Inference System (ANFIS) have been extensively used by hydrologists for rainfall-runoff modeling as well as for other fields of hydrology. In this paper, two hybrid AI-based models which are reliable in capturing the periodicity features of the process are introduced for watershed rainfall-runoff modeling. In the first model, the SARIMAX (Seasonal Auto Regressive Integrated Moving Average with exogenous input)-ANN model, an ANN is used to find the non-linear relationship among the residuals of the fitted linear SARIMAX model. In the second model, the wavelet-ANFIS model, wavelet transform is linked to the ANFIS concept and the main time series of two variables (rainfall and runoff) are decomposed into some multi-frequency time series by wavelet transform. Afterwards, these time series are imposed as input data to the ANFIS to predict the runoff discharge one time step ahead. The obtained results of the models applications for the rainfall-runoff modeling of two watersheds (located in Azerbaijan, Iran) show that, although the proposed models can predict both short and long terms runoff discharges by considering seasonality effects, the second model is relatively more appropriate because it uses the multi-scale time series of rainfall and runoff data in the ANFIS input layer.

  10. Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics.

    PubMed

    Van Poucke, Sven; Thomeer, Michiel; Heath, John; Vukicevic, Milan

    2016-01-01

    Despite the accelerating pace of scientific discovery, the current clinical research enterprise does not sufficiently address pressing clinical questions. Given the constraints on clinical trials, for a majority of clinical questions, the only relevant data available to aid in decision making are based on observation and experience. Our purpose here is 3-fold. First, we describe the classic context of medical research guided by Poppers' scientific epistemology of "falsificationism." Second, we discuss challenges and shortcomings of randomized controlled trials and present the potential of observational studies based on big data. Third, we cover several obstacles related to the use of observational (retrospective) data in clinical studies. We conclude that randomized controlled trials are not at risk for extinction, but innovations in statistics, machine learning, and big data analytics may generate a completely new ecosystem for exploration and validation. PMID:27383622

  11. Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics

    PubMed Central

    2016-01-01

    Despite the accelerating pace of scientific discovery, the current clinical research enterprise does not sufficiently address pressing clinical questions. Given the constraints on clinical trials, for a majority of clinical questions, the only relevant data available to aid in decision making are based on observation and experience. Our purpose here is 3-fold. First, we describe the classic context of medical research guided by Poppers’ scientific epistemology of “falsificationism.” Second, we discuss challenges and shortcomings of randomized controlled trials and present the potential of observational studies based on big data. Third, we cover several obstacles related to the use of observational (retrospective) data in clinical studies. We conclude that randomized controlled trials are not at risk for extinction, but innovations in statistics, machine learning, and big data analytics may generate a completely new ecosystem for exploration and validation. PMID:27383622

  12. Analysis of cognitive theories in artificial intelligence and psychology in relation to the qualitative process of emotion

    SciTech Connect

    Semrau, P.

    1987-01-01

    The purpose of this study was to analyze selected cognitive theories in the areas of artificial intelligence (A.I.) and psychology to determine the role of emotions in the cognitive or intellectual processes. Understanding the relationship of emotions to processes of intelligence has implications for constructing theories of aesthetic response and A.I. systems in art. Psychological theories were examined that demonstrated the changing nature of the research in emotion related to cognition. The basic techniques in A.I. were reviewed and the A.I. research was analyzed to determine the process of cognition and the role of emotion. The A.I. research emphasized the digital, quantifiable character of the computer and associated cognitive models and programs. In conclusion, the cognitive-emotive research in psychology and the cognitive research in A.I. emphasized quantification methods over analog and qualitative characteristics required for a holistic explanation of cognition. Further A.I. research needs to examine the qualitative aspects of values, attitudes, and beliefs on influencing the creative thinking processes. Inclusion of research related to qualitative problem solving in art provides a more comprehensive base of study for examining the area of intelligence in computers.

  13. The Intelligent Ventilator (INVENT) project: the role of mathematical models in translating physiological knowledge into clinical practice.

    PubMed

    Rees, Stephen E

    2011-12-01

    This dissertation has addressed the broad hypothesis as to whether building mathematical models is useful as a tool for translating physiological knowledge into clinical practice. In doing so it describes work on the INtelligent VENTilator project (INVENT), the goal of which is to build, evaluate and integrate into clinical practice, a model-based decision support system for control of mechanical ventilation. The dissertation describes the mathematical models included in INVENT, i.e. a model of pulmonary gas exchange focusing on oxygen transport, and a model of the acid-base status of blood, interstitial fluid and tissues. These models have been validated, and applied in two other systems: ALPE, a system for measuring pulmonary gas exchange and ARTY, a system for arterialisation of the acid-base and oxygen status of peripheral venous blood. The major contributions of this work are as follows. A mathematical model has been developed which can describe pulmonary gas exchange more accurately that current clinical techniques. This model is parsimonious in that it can describe pulmonary gas exchange from measurements easily available in the clinic, along with a readily automatable variation in F(I)O(2). This technique and model have been developed into a research and commercial tool (ALPE), and evaluated both in the clinical setting and when compared to the reference multiple inert gas elimination technique (MIGET). Mathematical models have been developed of the acid- base chemistry of blood, interstitial fluid and tissues, with these models formulated using a mass-action mass-balance approach. The model of blood has been validated against literature data describing the addition and removal of CO(2), strong acid or base, and haemoglobin; and the effects of oxygenation or deoxygenation. The model has also been validated in new studies, and shown to simulate accurately and precisely the mixing of blood samples at different PCO(2) and PO(2) levels. This model of acid

  14. Intelligence: Real or artificial?

    PubMed Central

    Schlinger, Henry D.

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis. PMID:22477051

  15. The effect of narrow-band digital processing and bit error rate on the intelligibility of ICAO spelling alphabet words

    NASA Astrophysics Data System (ADS)

    Schmidt-Nielsen, Astrid

    1987-08-01

    The recognition of ICAO spelling alphabet words (ALFA, BRAVO, CHARLIE, etc.) is compared with diagnostic rhyme test (DRT) scores for the same conditions. The voice conditions include unprocessed speech; speech processed through the DOD standard linear-predictive-coding algorithm operating at 2400 bit/s with random error rates of 0, 2, 5, 8, and 12 percent; and speech processed through an 800-bit/s pattern-matching algorithm. The results suggest that, with distinctive vocabularies, word intelligibility can be expected to remain high even when DRT scores fall into the poor range. However, once the DRT scores fall below 75 percent, the intelligibility can be expected to fall off rapidly; at DRT scores below 50, the recognition of a distinctive vocabulary should also fall below 50 percent.

  16. Applying Statistical Process Control to Clinical Data: An Illustration.

    ERIC Educational Resources Information Center

    Pfadt, Al; And Others

    1992-01-01

    Principles of statistical process control are applied to a clinical setting through the use of control charts to detect changes, as part of treatment planning and clinical decision-making processes. The logic of control chart analysis is derived from principles of statistical inference. Sample charts offer examples of evaluating baselines and…

  17. Reasoning Processes Used by Paramedics to Solve Clinical Problems

    ERIC Educational Resources Information Center

    Alexander, Melissa

    2009-01-01

    The purpose of this exploratory qualitative study was to determine the reasoning processes used by paramedics to solve clinical problems. Existing research documents concern over the accuracy of paramedics' clinical decision-making, but no research was found that examines the cognitive processes by which paramedics make either faulty or accurate…

  18. Intelligent processing of materials; Proceedings of the Symposium, Fall Meeting of the Minerals, Metals, and Materials Society, Indianapolis, IN, Oct. 2-5, 1989

    NASA Astrophysics Data System (ADS)

    Wadley, Haydn N. G.; Eckhart, W. E., Jr.

    Current research on strategies of controlling product properties during processing is examined in reviews and reports. Problems discussed include predictive modeling, advanced sensing, and intelligent control. Particular attention is given to design and manufacturing of advanced materials and structures, intelligent control of carbon-carbon pyrolysis, computer simulation of crystal growth, modeling of phase change phenomena in boundary fitted coordinates, applications of optimization modeling techniques to materials processing, the effect of carbonization kinetics on in-process mechanical properties, nondestructive characterization and strength of solid-solid bond, and acoustic emission and ultrasonic sensing. Consideration is also given to collective learning systems for automatic control, a multicomponent knowledge base for spray casting process control, optimal control of microstructure during near-net shape processing, intelligent control of arc welding, and an intelligent control architecture for carbonization science.

  19. Intelligence supportability in future systems

    NASA Astrophysics Data System (ADS)

    Gold, Brian; Watson, Mariah; Vayette, Corey; Fiduk, Francis

    2010-08-01

    Advanced weaponry is providing an exponential increase in intelligence data collection capabilities and the Intelligence Community (IC) is not properly positioned for the influx of intelligence supportabilitiy requirements the defense acquisition community is developing for it. The Air Force Material Command (AFMC) has initiated the Intelligence Supportability Analysis (ISA) process to allow the IC to triage programs for intelligence sensitivities as well as begin preparations within the IC for the transition of future programs to operational status. The ISA process is accomplished through system decomposition, allowing analysts to identify intelligence requirements and deficiencies. Early collaboration and engagement by program managers and intelligence analysts is crucial to the success of intelligence sensitive programs through the utilization of a repeatable analytical framework for evaluating and making cognizant trade-offs between cost, schedule and performance. Addressing intelligence supportability early in the acquisition process will also influence system design and provide the necessary lead time for intelligence community to react and resource new requirements.

  20. [Process of perversion. Methodological and clinical study].

    PubMed

    Marchais, P

    1975-07-01

    Studies in classical psychiatry and psychoanalysis have reduced perversions to pathological phenomena, by lessening the moral criterion progressively. The applying of a comprehensive method of study of acquired perversions incites to consider various levels of observation. Henceforth properties common to each of these levels appears permitting thus to isolate a general process of perversion. This process, which keeps undeniable links with mental pathology, must however be differentiated, for it is not necessarily to be assimilated or reduced to the latter. Besides, it entails notable consequences on the social and cultural level. PMID:1233902

  1. [Definition and stabilization of processes II. Clinical Processes in a Urology Department].

    PubMed

    Pascual, Carlos; Luján, Marcos; Mora, Jose Ramón; Diz, Manuel Ramón; Martín, Carlos; López, M C

    2015-01-01

    New models in clinical management seek a clinical practice based on quality, efficacy and efficiency, avoiding variability and improvisation. In this paper we have developed one of the most frequent clinical processes in our speciality, the process based on DRG 311 or transurethral procedures without complications. Along it we will describe its components: Stabilization form, clinical trajectory, cost calculation, and finally the process flowchart. PMID:25688534

  2. Clinical Application of "The Change Process".

    ERIC Educational Resources Information Center

    Thompson, Mary L.

    A change process described in the work of Yochelson and Samenow was adapted to students committed as delinquents to a state correctional facility. Their criminal profile accurately described the majority of the offenders. While minor problems continued, their frequency was reduced by as much as nine times. Serious incidents occurred only after the…

  3. Design and validation of an intelligent patient monitoring and alarm system based on a fuzzy logic process model.

    PubMed

    Becker, K; Thull, B; Käsmacher-Leidinger, H; Stemmer, J; Rau, G; Kalff, G; Zimmermann, H J

    1997-09-01

    The process of patient care performed by an anaesthesiologist during high invasive surgery requires fundamental knowledge of the physiologic processes and a long standing experience in patient management to cope with the inter-individual variability of the patients. Biomedical engineering research improves the patient monitoring task by providing technical devices to measure a large number of a patient's vital parameters. These measurements improve the safety of the patient during the surgical procedure, because pathological states can be recognised earlier, but may also lead to an increased cognitive load of the physician. In order to reduce cognitive strain and to support intra-operative monitoring for the anaesthesiologist an intelligent patient monitoring and alarm system has been proposed and implemented which evaluates a patient's haemodynamic state on the basis of a current vital parameter constellation with a knowledge-based approach. In this paper general design aspects and evaluation of the intelligent patient monitoring and alarm system in the operating theatre are described. The validation of the inference engine of the intelligent patient monitoring and alarm system was performed in two steps. Firstly, the knowledge base was validated with real patient data which was acquired online in the operating theatre. Secondly, a research prototype of the whole system was implemented in the operating theatre. In the first step, the anaesthetists were asked to enter a state variable evaluation before a drug application or any other intervention on the patient into a recording system. These state variable evaluations were compared to those generated by the intelligent alarm system on the same vital parameter constellations. Altogether 641 state variable evaluations were entered by six different physicians. In total, the sensitivity of alarm recognition is 99.3%, the specificity is 66% and the predictability is 45%. The second step was performed using a research

  4. The Influence of Cochlear Mechanical Dysfunction, Temporal Processing Deficits, and Age on the Intelligibility of Audible Speech in Noise for Hearing-Impaired Listeners.

    PubMed

    Johannesen, Peter T; Pérez-González, Patricia; Kalluri, Sridhar; Blanco, José L; Lopez-Poveda, Enrique A

    2016-01-01

    The aim of this study was to assess the relative importance of cochlear mechanical dysfunction, temporal processing deficits, and age on the ability of hearing-impaired listeners to understand speech in noisy backgrounds. Sixty-eight listeners took part in the study. They were provided with linear, frequency-specific amplification to compensate for their audiometric losses, and intelligibility was assessed for speech-shaped noise (SSN) and a time-reversed two-talker masker (R2TM). Behavioral estimates of cochlear gain loss and residual compression were available from a previous study and were used as indicators of cochlear mechanical dysfunction. Temporal processing abilities were assessed using frequency modulation detection thresholds. Age, audiometric thresholds, and the difference between audiometric threshold and cochlear gain loss were also included in the analyses. Stepwise multiple linear regression models were used to assess the relative importance of the various factors for intelligibility. Results showed that (a) cochlear gain loss was unrelated to intelligibility, (b) residual cochlear compression was related to intelligibility in SSN but not in a R2TM, (c) temporal processing was strongly related to intelligibility in a R2TM and much less so in SSN, and (d) age per se impaired intelligibility. In summary, all factors affected intelligibility, but their relative importance varied across maskers. PMID:27604779

  5. Become a Star: Teaching the Process of Design and Implementation of an Intelligent System

    ERIC Educational Resources Information Center

    Venables, Anne; Tan, Grace

    2005-01-01

    Teaching future knowledge engineers, the necessary skills for designing and implementing intelligent software solutions required by business, industry and research today, is a very tall order. These skills are not easily taught in traditional undergraduate computer science lectures; nor are the practical experiences easily reinforced in laboratory…

  6. Performance on Temporal Information Processing as an Index of General Intelligence

    ERIC Educational Resources Information Center

    Rammsayer, Thomas H.; Brandler, Susanne

    2007-01-01

    The relation between general intelligence (psychometric "g") and temporal resolution capacity of the central nervous system was examined by assessing performance on eight different temporal tasks in a sample of 100 participants. Correlational and principal component analyses suggested a unitary timing mechanism, referred to as temporal "g".…

  7. Analyzing Learner Language: Towards a Flexible Natural Language Processing Architecture for Intelligent Language Tutors

    ERIC Educational Resources Information Center

    Amaral, Luiz; Meurers, Detmar; Ziai, Ramon

    2011-01-01

    Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…

  8. Artificial intelligence in process control: Knowledge base for the shuttle ECS model

    NASA Technical Reports Server (NTRS)

    Stiffler, A. Kent

    1989-01-01

    The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.

  9. An Intelligent Computerized Stretch Reflex Measurement System For Clinical And Investigative Neurology

    NASA Astrophysics Data System (ADS)

    Flanagan, P. M.; Chutkow, J. G.; Riggs, M. T.; Cristiano, V. D.

    1987-05-01

    We describe the design of a reliable, user-friendly preprototype system for quantifying the tendon stretch reflexes in humans and large mammals. A hand-held, instrumented reflex gun, the impactor of which contains a single force sensor, interfaces with a computer. The resulting test system can deliver sequences of reproducible stimuli at graded intensities and adjustable durations to a muscle's tendon ("tendon taps"), measure the impacting force of each tap, and record the subsequent reflex muscle contraction from the same tendon -- all automatically. The parameters of the reflex muscle contraction include latency; mechanical threshold; and peak time, peak magnitude, and settling time. The results of clinical tests presented in this paper illustrate the system's potential usefulness in detecting neurologic dysfunction affecting the tendon stretch reflexes, in documenting the course of neurologic illnesses and their response to therapy, and in clinical and laboratory neurologic research.

  10. Animated-simulation modeling facilitates clinical-process costing.

    PubMed

    Zelman, W N; Glick, N D; Blackmore, C C

    2001-09-01

    Traditionally, the finance department has assumed responsibility for assessing process costs in healthcare organizations. To enhance process-improvement efforts, however, many healthcare providers need to include clinical staff in process cost analysis. Although clinical staff often use electronic spreadsheets to model the cost of specific processes, PC-based animated-simulation tools offer two major advantages over spreadsheets: they allow clinicians to interact more easily with the costing model so that it more closely represents the process being modeled, and they represent cost output as a cost range rather than as a single cost estimate, thereby providing more useful information for decision making. PMID:11552586

  11. Real time intelligent process control system for thin film solar cell manufacturing

    SciTech Connect

    George Atanasoff

    2010-10-29

    significant equipment refurbishing needed for installation of multiple separate ellipsometric systems, and development of customized software to control all of them simultaneously. The proposed optical monitoring system comprises AccuStrata’s fiber optics sensors installed inside the thin film deposition equipment, a hardware module of different components (beyond the scope of this project) and our software program with iterative predicting capability able to control material bandgap and surface roughness as films are deposited. Our miniature fiber optics monitoring sensors are installed inside the vacuum chamber compartments in very close proximity where the independent layers are deposited (an option patented by us in 2003). The optical monitoring system measures two of the most important parameters of the photovoltaic thin films during deposition on a moving solar panel - material bandgap and surface roughness. In this program each sensor array consists of two fiber optics sensors monitoring two independent areas of the panel under deposition. Based on the monitored parameters and their change in time and from position to position on the panel, the system is able to provide to the equipment operator immediate information about the thin films as they are deposited. This DoE Supply Chain program is considered the first step towards the development of intelligent optical control system capable of dynamically adjusting the manufacturing process “on-the-fly” in order to achieve better performance. The proposed system will improve the thin film solar cell manufacturing by improving the quality of the individual solar cells and will allow for the manufacturing of more consistent and uniform products resulting in higher solar conversion efficiency and manufacturing yield. It will have a significant impact on the multibillion-dollar thin film solar market. We estimate that the financial impact of these improvements if adopted by only 10% of the industry ($7.7 Billion) would

  12. An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients.

    PubMed

    Barbieri, Carlo; Molina, Manuel; Ponce, Pedro; Tothova, Monika; Cattinelli, Isabella; Ion Titapiccolo, Jasmine; Mari, Flavio; Amato, Claudia; Leipold, Frank; Wehmeyer, Wolfgang; Stuard, Stefano; Stopper, Andrea; Canaud, Bernard

    2016-08-01

    Managing anemia in hemodialysis patients can be challenging because of competing therapeutic targets and individual variability. Because therapy recommendations provided by a decision support system can benefit both patients and doctors, we evaluated the impact of an artificial intelligence decision support system, the Anemia Control Model (ACM), on anemia outcomes. Based on patient profiles, the ACM was built to recommend suitable erythropoietic-stimulating agent doses. Our retrospective study consisted of a 12-month control phase (standard anemia care), followed by a 12-month observation phase (ACM-guided care) encompassing 752 patients undergoing hemodialysis therapy in 3 NephroCare clinics located in separate countries. The percentage of hemoglobin values on target, the median darbepoetin dose, and individual hemoglobin fluctuation (estimated from the intrapatient hemoglobin standard deviation) were deemed primary outcomes. In the observation phase, median darbepoetin consumption significantly decreased from 0.63 to 0.46 μg/kg/month, whereas on-target hemoglobin values significantly increased from 70.6% to 76.6%, reaching 83.2% when the ACM suggestions were implemented. Moreover, ACM introduction led to a significant decrease in hemoglobin fluctuation (intrapatient standard deviation decreased from 0.95 g/dl to 0.83 g/dl). Thus, ACM support helped improve anemia outcomes of hemodialysis patients, minimizing erythropoietic-stimulating agent use with the potential to reduce the cost of treatment. PMID:27262365

  13. Development of an `intelligent grinding wheel` for in-process monitoring of ceramic grinding. Semi-annual report No. 2, March 1, 1997--August 31, 1997

    SciTech Connect

    Malkin, S.; Gao, R.; Guo, C.; Varghese, B.; Pathare, S.

    1997-09-29

    The overall objective of this project is to develop sensor-integrated `intelligent` diamond wheels for grinding ceramics. Such wheels will be `smart` enough to monitor and supervise both the wheel preparation and grinding processes without the need to instrument the machine tool. Intelligent wheels will utilize re-useable cores integrated with two types of sensors: acoustic emission (AE) and dynamic force transducers. Signals from the sensors will be transmitted from a rotating wheel to a receiver by telemetry. Intelligent wheels will be `trained` to recognize distinct characteristics associated with truing, dressing and grinding.

  14. Comparing Binaural Pre-processing Strategies III: Speech Intelligibility of Normal-Hearing and Hearing-Impaired Listeners.

    PubMed

    Völker, Christoph; Warzybok, Anna; Ernst, Stephan M A

    2015-01-01

    A comprehensive evaluation of eight signal pre-processing strategies, including directional microphones, coherence filters, single-channel noise reduction, binaural beamformers, and their combinations, was undertaken with normal-hearing (NH) and hearing-impaired (HI) listeners. Speech reception thresholds (SRTs) were measured in three noise scenarios (multitalker babble, cafeteria noise, and single competing talker). Predictions of three common instrumental measures were compared with the general perceptual benefit caused by the algorithms. The individual SRTs measured without pre-processing and individual benefits were objectively estimated using the binaural speech intelligibility model. Ten listeners with NH and 12 HI listeners participated. The participants varied in age and pure-tone threshold levels. Although HI listeners required a better signal-to-noise ratio to obtain 50% intelligibility than listeners with NH, no differences in SRT benefit from the different algorithms were found between the two groups. With the exception of single-channel noise reduction, all algorithms showed an improvement in SRT of between 2.1 dB (in cafeteria noise) and 4.8 dB (in single competing talker condition). Model predictions with binaural speech intelligibility model explained 83% of the measured variance of the individual SRTs in the no pre-processing condition. Regarding the benefit from the algorithms, the instrumental measures were not able to predict the perceptual data in all tested noise conditions. The comparable benefit observed for both groups suggests a possible application of noise reduction schemes for listeners with different hearing status. Although the model can predict the individual SRTs without pre-processing, further development is necessary to predict the benefits obtained from the algorithms at an individual level. PMID:26721922

  15. A study of clinical and information management processes in the surgical pre-assessment clinic

    PubMed Central

    2014-01-01

    Background Establishing day-case surgery as the preferred hospital admission route for all eligible patients requires adequate preoperative assessment of patients in order to quickly distinguish those who will require minimum assessment and are suitable for day-case admission from those who will require more extensive management and will need to be admitted as inpatients. Methods As part of a study to elucidate clinical and information management processes within the patient surgical pathway in NHS Scotland, we conducted a total of 10 in-depth semi-structured interviews during 4 visits to the Dumfries & Galloway Royal Infirmary surgical pre-assessment clinic. We modelled clinical processes using process-mapping techniques and analysed interview data using qualitative methods. We used Normalisation Process Theory as a conceptual framework to interpret the factors which were identified as facilitating or hindering information elucidation tasks and communication within the multi-disciplinary team. Results The pre-assessment clinic of Dumfries & Galloway Royal Infirmary was opened in 2008 in response to clinical and workflow issues which had been identified with former patient management practices in the surgical pathway. The preoperative clinic now operates under well established processes and protocols. The use of a computerised system for managing preoperative documentation substantially transformed clinical practices and facilitates communication and information-sharing among the multi-disciplinary team. Conclusion Successful deployment and normalisation of innovative clinical and information management processes was possible because both local and national strategic priorities were synergistic and the system was developed collaboratively by the POA staff and the health-board IT team, resulting in a highly contextualised operationalisation of clinical and information management processes. Further concerted efforts from a range of stakeholders are required to fully

  16. Neuropsychological Profiles in Individuals at Clinical High Risk for Psychosis: Relationship to Psychosis and Intelligence

    PubMed Central

    Woodberry, Kristen A.; Seidman, Larry J.; Giuliano, Anthony J.; Verdi, Mary B.; Cook, William L.; McFarlane, William R.

    2010-01-01

    Background Characterizing neuropsychological (NP) functioning of individuals at clinical high risk (CHR) for psychosis may be useful for prediction of psychosis and understanding functional outcome. The degree to which NP impairments are associated with general cognitive ability and/or later emergence of full psychosis in CHR samples requires study with well-matched controls. Methods We assessed NP functioning across eight cognitive domains in a sample of 73 CHR youth, 13 of whom developed psychotic-level symptoms after baseline assessment, and 34 healthy comparison (HC) subjects. Groups were matched on age, sex, ethnicity, handedness, subject and parent grade attainment, and median family income, and were comparable on WRAT-3 Reading, an estimate of premorbid IQ. Profile analysis was used to examine group differences and the role of IQ in profile shape. Results The CHR sample demonstrated a significant difference in overall magnitude of NP impairment but only a small and nearly significant difference in profile shape, primarily due to a large impairment in olfactory identification. Individuals who subsequently developed psychotic-level symptoms demonstrated large impairments in verbal IQ, verbal memory and olfactory identification comparable in magnitude to first episode samples. Conclusions CHR status may be associated with moderate generalized cognitive impairments marked by some degree of selective impairment in olfaction and verbal memory. Impairments were greatest in those who later developed psychotic symptoms. Future study of olfaction in CHR samples may enhance early detection and specification of neurodevelopmental mechanisms of risk. PMID:20692125

  17. Synthesis and processing of intelligent cost-effective structures: a final review of the ARPA SPICES program

    NASA Astrophysics Data System (ADS)

    Jacobs, Jack H.

    1996-05-01

    The Synthesis and Processing of Intelligent Cost Effective Structures (SPICES) program is comprised of a consortium of industrial, academic and government labs working to develop cost effective material processing and synthesis technologies to enable new products using active vibration suppression and control devices to be brought to market. Since smart structures involve the integration of multiple engineering disciplines, it has been the objective of the consortium to establish cost effective design processes between this multi-organizational team for future incorporating of this new technology into each members respective product lines. Over the twenty-four month program many new improvements in sensors, actuators, modeling, manufacturing/integration and controls have been realized. The paper outlines the four phases of development in the program and the impact some of the key technologies will have on the smart structure development process in the future.

  18. Thinking Processes Used by Nurses in Clinical Decision Making.

    ERIC Educational Resources Information Center

    Higuchi, Kathryn A. Smith; Donald, Janet G.

    2002-01-01

    Interviews with eight medical and surgical nurses and audits of patient charts investigated clinical decision-making processes. Predominant thinking processes were description of facts, selection of information, inference, syntheses, and verification, with differences between medical and surgical specialties. Exemplars of thinking processes…

  19. Adaptive healthcare processes for personalized emergency clinical pathways.

    PubMed

    Poulymenopoulou, M; Papakonstantinou, D; Malamateniou, F; Vassilacopoulos, G

    2014-01-01

    Pre-hospital and in-hospital emergency healthcare delivery involves a variety of activities and people that should be coordinated in order effectively to create an emergency care plan. Emergency care provided by emergency healthcare professionals can be improved by personalized emergency clinical pathways that are instances of relevant emergency clinical guidelines based on emergency case needs as well as on ambulance and hospital resource availability, while also enabling better resource use. Business Process Management Systems (BPMSs) in conjunction with semantic technologies can be used to support personalized emergency clinical pathways by incorporating clinical guidelines logic into the emergency healthcare processes at run-time according to emergency care context information (current emergency case and resource information). On these grounds, a framework is proposed that uses ontology to model knowledge on emergency case medical history, on healthcare resource availability, on relevant clinical guidelines and on process logic; this is inferred to result in the most suitable process model for the case, in line with relevant clinical guidelines. PMID:25160219

  20. A clinical study of the effects of lead poisoning on the intelligence and neurobehavioral abilities of children

    PubMed Central

    2013-01-01

    Background Lead is a heavy metal and important environmental toxicant and nerve poison that can destruction many functions of the nervous system. Lead poisoning is a medical condition caused by increased levels of lead in the body. Lead interferes with a variety of body processes and is toxic to many organs and issues, including the central nervous system. It interferes with the development of the nervous system, and is therefore particularly toxic to children, causing potentially permanent neural and cognitive impairments. In this study, we investigated the relationship between lead poisoning and the intellectual and neurobehavioral capabilities of children. Methods The background characteristics of the research subjects were collected by questionnaire survey. Blood lead levels were detected by differential potentiometric stripping analysis (DPSA). Intelligence was assessed using the Gesell Developmental Scale. The Achenbach Child Behavior Checklist (CBCL) was used to evaluate each child’s behavior. Results Blood lead levels were significantly negatively correlated with the developmental quotients of adaptive behavior, gross motor performance, fine motor performance, language development, and individual social behavior (P < 0.01). Compared with healthy children, more children with lead poisoning had abnormal behaviors, especially social withdrawal, depression, and atypical body movements, aggressions and destruction. Conclusion Lead poisoning has adverse effects on the behavior and mental development of 2–4-year-old children, prescribing positive and effective precautionary measures. PMID:23414525

  1. The Problem of Defining Intelligence.

    ERIC Educational Resources Information Center

    Lubar, David

    1981-01-01

    The major philosophical issues surrounding the concept of intelligence are reviewed with respect to the problems surrounding the process of defining and developing artificial intelligence (AI) in computers. Various current definitions and problems with these definitions are presented. (MP)

  2. Processes for quality improvements in radiation oncology clinical trials.

    PubMed

    FitzGerald, T J; Urie, Marcia; Ulin, Kenneth; Laurie, Fran; Yorty, Jeffrey; Hanusik, Richard; Kessel, Sandy; Jodoin, Maryann Bishop; Osagie, Gani; Cicchetti, M Giulia; Pieters, Richard; McCarten, Kathleen; Rosen, Nancy

    2008-01-01

    Quality assurance in radiotherapy (RT) has been an integral aspect of cooperative group clinical trials since 1970. In early clinical trials, data acquisition was nonuniform and inconsistent and computational models for radiation dose calculation varied significantly. Process improvements developed for data acquisition, credentialing, and data management have provided the necessary infrastructure for uniform data. With continued improvement in the technology and delivery of RT, evaluation processes for target definition, RT planning, and execution undergo constant review. As we move to multimodality image-based definitions of target volumes for protocols, future clinical trials will require near real-time image analysis and feedback to field investigators. The ability of quality assurance centers to meet these real-time challenges with robust electronic interaction platforms for imaging acquisition, review, archiving, and quantitative review of volumetric RT plans will be the primary challenge for future successful clinical trials. PMID:18406943

  3. Process of research investigations in artificial intelligence-an unified view

    SciTech Connect

    Baldwin, D.; Yadav, S.B.

    1995-05-01

    A number of research communities recognize Artificial Intelligence (AI) as a valid reference discipline. However, several papers have criticized AI`s research methodologies. This paper attempts to clarify and improve the methods used in AI. Definitions are proposed for terms such as AI theory, principles, hypotheses, and observations. Next, a unified view of AI research methodology is proposed. This methodology contains a long term dimension based upon the scientific method and an individual project dimension. The individual project dimension identifies four strategies: Hypothetical/deductive, hermeneutical/inductive, case-based, and historical analysis. The strategies differ according to how prototyping is used in an experiment. 78 refs.

  4. What can Natural Language Processing do for Clinical Decision Support?

    PubMed Central

    Demner-Fushman, Dina; Chapman, Wendy W.; McDonald, Clement J.

    2009-01-01

    Computerized Clinical Decision Support (CDS) aims to aid decision making of health care providers and the public by providing easily accessible health-related information at the point and time it is needed. Natural Language Processing (NLP) is instrumental in using free-text information to drive CDS, representing clinical knowledge and CDS interventions in standardized formats, and leveraging clinical narrative. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP. This review primarily focuses on the recently renewed interest in development of fundamental NLP methods and advances in the NLP systems for CDS. The current solutions to challenges posed by distinct sublanguages, intended user groups, and support goals are discussed. PMID:19683066

  5. Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications.

    PubMed

    Lashkari, AmirEhsan; Pak, Fatemeh; Firouzmand, Mohammad

    2016-01-01

    Breast cancer is the most common type of cancer among women. The important key to treat the breast cancer is early detection of it because according to many pathological studies more than 75% - 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done to early detection of breast cancer with higher precision and accuracy. Infra-red breast thermography is an imaging technique based on recording temperature distribution patterns of breast tissue. Compared with breast mammography technique, thermography is more suitable technique because it is noninvasive, non-contact, passive and free ionizing radiation. In this paper, a full automatic high accuracy technique for classification of suspicious areas in thermogram images with the aim of assisting physicians in early detection of breast cancer has been presented. Proposed algorithm consists of four main steps: pre-processing & segmentation, feature extraction, feature selection and classification. At the first step, using full automatic operation, region of interest (ROI) determined and the quality of image improved. Using thresholding and edge detection techniques, both right and left breasts separated from each other. Then relative suspected areas become segmented and image matrix normalized due to the uniqueness of each person's body temperature. At feature extraction stage, 23 features, including statistical, morphological, frequency domain, histogram and Gray Level Co-occurrence Matrix (GLCM) based features are extracted from segmented right and left breast obtained from step 1. To achieve the best features, feature selection methods such as minimum Redundancy and Maximum Relevance (mRMR), Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Sequential Floating Forward Selection (SFFS), Sequential Floating Backward Selection (SFBS) and Genetic Algorithm (GA) have been used at step 3. Finally to classify and TH labeling procedures

  6. Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications

    PubMed Central

    Lashkari, AmirEhsan; Pak, Fatemeh; Firouzmand, Mohammad

    2016-01-01

    Breast cancer is the most common type of cancer among women. The important key to treat the breast cancer is early detection of it because according to many pathological studies more than 75% – 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done to early detection of breast cancer with higher precision and accuracy. Infra-red breast thermography is an imaging technique based on recording temperature distribution patterns of breast tissue. Compared with breast mammography technique, thermography is more suitable technique because it is noninvasive, non-contact, passive and free ionizing radiation. In this paper, a full automatic high accuracy technique for classification of suspicious areas in thermogram images with the aim of assisting physicians in early detection of breast cancer has been presented. Proposed algorithm consists of four main steps: pre-processing & segmentation, feature extraction, feature selection and classification. At the first step, using full automatic operation, region of interest (ROI) determined and the quality of image improved. Using thresholding and edge detection techniques, both right and left breasts separated from each other. Then relative suspected areas become segmented and image matrix normalized due to the uniqueness of each person's body temperature. At feature extraction stage, 23 features, including statistical, morphological, frequency domain, histogram and Gray Level Co-occurrence Matrix (GLCM) based features are extracted from segmented right and left breast obtained from step 1. To achieve the best features, feature selection methods such as minimum Redundancy and Maximum Relevance (mRMR), Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Sequential Floating Forward Selection (SFFS), Sequential Floating Backward Selection (SFBS) and Genetic Algorithm (GA) have been used at step 3. Finally to classify and TH labeling procedures

  7. The role of accent imitation in sensorimotor integration during processing of intelligible speech.

    PubMed

    Adank, Patti; Rueschemeyer, Shirley-Ann; Bekkering, Harold

    2013-01-01

    Recent theories on how listeners maintain perceptual invariance despite variation in the speech signal allocate a prominent role to imitation mechanisms. Notably, these simulation accounts propose that motor mechanisms support perception of ambiguous or noisy signals. Indeed, imitation of ambiguous signals, e.g., accented speech, has been found to aid effective speech comprehension. Here, we explored the possibility that imitation in speech benefits perception by increasing activation in speech perception and production areas. Participants rated the intelligibility of sentences spoken in an unfamiliar accent of Dutch in a functional Magnetic Resonance Imaging experiment. Next, participants in one group repeated the sentences in their own accent, while a second group vocally imitated the accent. Finally, both groups rated the intelligibility of accented sentences in a post-test. The neuroimaging results showed an interaction between type of training and pre- and post-test sessions in left Inferior Frontal Gyrus, Supplementary Motor Area, and left Superior Temporal Sulcus. Although alternative explanations such as task engagement and fatigue need to be considered as well, the results suggest that imitation may aid effective speech comprehension by supporting sensorimotor integration. PMID:24109447

  8. E-facts: business process management in clinical data repositories.

    PubMed

    Wattanasin, Nich; Peng, Zhaoping; Raine, Christine; Mitchell, Mariah; Wang, Charles; Murphy, Shawn N

    2008-01-01

    The Partners Healthcare Research Patient Data Registry (RPDR) is a centralized data repository that gathers clinical data from various hospital systems. The RPDR allows clinical investigators to obtain aggregate numbers of patients with user-defined characteristics such as diagnoses, procedures, medications, and laboratory values. They may then obtain patient identifiers and electronic medical records with prior IRB approval. Moreover, the accurate identification and efficient population of worthwhile and quantifiable facts from doctor's report into the RPDR is a significant process. As part of our ongoing e-Fact project, this work describes a new business process management technology that helps coordinate and simplify this procedure. PMID:18999043

  9. Intelligent Tutor

    NASA Technical Reports Server (NTRS)

    1990-01-01

    NASA also seeks to advance American education by employing the technology utilization process to develop a computerized, artificial intelligence-based Intelligent Tutoring System (ITS) to help high school and college physics students. The tutoring system is designed for use with the lecture and laboratory portions of a typical physics instructional program. Its importance lies in its ability to observe continually as a student develops problem solutions and to intervene when appropriate with assistance specifically directed at the student's difficulty and tailored to his skill level and learning style. ITS originated as a project of the Johnson Space Center (JSC). It is being developed by JSC's Software Technology Branch in cooperation with Dr. R. Bowen Loftin at the University of Houston-Downtown. Program is jointly sponsored by NASA and ACOT (Apple Classrooms of Tomorrow). Other organizations providing support include Texas Higher Education Coordinating Board, the National Research Council, Pennzoil Products Company and the George R. Brown Foundation. The Physics I class of Clear Creek High School, League City, Texas are providing the classroom environment for test and evaluation of the system. The ITS is a spinoff product developed earlier to integrate artificial intelligence into training/tutoring systems for NASA astronauts flight controllers and engineers.

  10. Multimedia abstract generation of intensive care data: the automation of clinical processes through AI methodologies.

    PubMed

    Jordan, Desmond; Rose, Sydney E

    2010-04-01

    Medical errors from communication failures are enormous during the perioperative period of cardiac surgical patients. As caregivers change shifts or surgical patients change location within the hospital, key information is lost or misconstrued. After a baseline cognitive study of information need and caregiver workflow, we implemented an advanced clinical decision support tool of intelligent agents, medical logic modules, and text generators called the "Inference Engine" to summarize individual patient's raw medical data elements into procedural milestones, illness severity, and care therapies. The system generates two displays: 1) the continuum of care, multimedia abstract generation of intensive care data (MAGIC)-an expert system that would automatically generate a physician briefing of a cardiac patient's operative course in a multimodal format; and 2) the isolated point in time, "Inference Engine"-a system that provides a real-time, high-level, summarized depiction of a patient's clinical status. In our studies, system accuracy and efficacy was judged against clinician performance in the workplace. To test the automated physician briefing, "MAGIC," the patient's intraoperative course, was reviewed in the intensive care unit before patient arrival. It was then judged against the actual physician briefing and that given in a cohort of patients where the system was not used. To test the real-time representation of the patient's clinical status, system inferences were judged against clinician decisions. Changes in workflow and situational awareness were assessed by questionnaires and process evaluation. MAGIC provides 200% more information, twice the accuracy, and enhances situational awareness. This study demonstrates that the automation of clinical processes through AI methodologies yields positive results. PMID:20012610

  11. The Concept of Intelligence.

    ERIC Educational Resources Information Center

    Neisser, Ulric

    1979-01-01

    Because no single characteristic defines intelligence, there can be no adequate process-based definition of intelligence. In principle, a combination of many empirically derived measures into a single index, as in a Binet test, would be appropriate. In practice, many of the relevant characteristics are simply impossible to measure. (Author/RD)

  12. Problem Solving and Intelligence.

    ERIC Educational Resources Information Center

    Resnick, Lauren B.; Glaser, Robert

    This paper argues that a major aspect of intelligence is the ability to solve problems and that careful analysis of problem-solving behavior is a means of specifying many of the psychological processes that make up intelligence. The focus is on the mechanisms involved when, in the absence of complete instruction, a person must "invent" a new…

  13. Semantic processing of EHR data for clinical research.

    PubMed

    Sun, Hong; Depraetere, Kristof; De Roo, Jos; Mels, Giovanni; De Vloed, Boris; Twagirumukiza, Marc; Colaert, Dirk

    2015-12-01

    There is a growing need to semantically process and integrate clinical data from different sources for clinical research. This paper presents an approach to integrate EHRs from heterogeneous resources and generate integrated data in different data formats or semantics to support various clinical research applications. The proposed approach builds semantic data virtualization layers on top of data sources, which generate data in the requested semantics or formats on demand. This approach avoids upfront dumping to and synchronizing of the data with various representations. Data from different EHR systems are first mapped to RDF data with source semantics, and then converted to representations with harmonized domain semantics where domain ontologies and terminologies are used to improve reusability. It is also possible to further convert data to application semantics and store the converted results in clinical research databases, e.g. i2b2, OMOP, to support different clinical research settings. Semantic conversions between different representations are explicitly expressed using N3 rules and executed by an N3 Reasoner (EYE), which can also generate proofs of the conversion processes. The solution presented in this paper has been applied to real-world applications that process large scale EHR data. PMID:26515501

  14. Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

    PubMed

    Caudle, Kelly E; Klein, Teri E; Hoffman, James M; Muller, Daniel J; Whirl-Carrillo, Michelle; Gong, Li; McDonagh, Ellen M; Sangkuhl, Katrin; Thorn, Caroline F; Schwab, Matthias; Agundez, Jose A G; Freimuth, Robert R; Huser, Vojtech; Lee, Ming Ta Michael; Iwuchukwu, Otito F; Crews, Kristine R; Scott, Stuart A; Wadelius, Mia; Swen, Jesse J; Tyndale, Rachel F; Stein, C Michael; Roden, Dan; Relling, Mary V; Williams, Marc S; Johnson, Samuel G

    2014-02-01

    The Clinical Pharmacogenetics Implementation Consortium (CPIC) publishes genotype-based drug guidelines to help clinicians understand how available genetic test results could be used to optimize drug therapy. CPIC has focused initially on well-known examples of pharmacogenomic associations that have been implemented in selected clinical settings, publishing nine to date. Each CPIC guideline adheres to a standardized format and includes a standard system for grading levels of evidence linking genotypes to phenotypes and assigning a level of strength to each prescribing recommendation. CPIC guidelines contain the necessary information to help clinicians translate patient-specific diplotypes for each gene into clinical phenotypes or drug dosing groups. This paper reviews the development process of the CPIC guidelines and compares this process to the Institute of Medicine's Standards for Developing Trustworthy Clinical Practice Guidelines. PMID:24479687

  15. Incorporation of Pharmacogenomics into Routine Clinical Practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline Development Process

    PubMed Central

    Caudle, Kelly E.; Klein, Teri E.; Hoffman, James M.; Müller, Daniel J.; Whirl-Carrillo, Michelle; Gong, Li; McDonagh, Ellen M.; Sangkuhl, Katrin; Thorn, Caroline F.; Schwab, Matthias; Agúndez, José A.G.; Freimuth, Robert R.; Huser, Vojtech; Lee, Ming Ta Michael; Iwuchukwu, Otito F.; Crews, Kristine R.; Scott, Stuart A.; Wadelius, Mia; Swen, Jesse J.; Tyndale, Rachel F.; Stein, C. Michael; Roden, Dan; Relling, Mary V.; Williams, Marc S.; Johnson, Samuel G.

    2014-01-01

    The Clinical Pharmacogenetics Implementation Consortium (CPIC) publishes genotype-based drug guidelines to help clinicians understand how available genetic test results could be used to optimize drug therapy. CPIC has focused initially on well-known examples of pharmacogenomic associations that have been implemented in selected clinical settings, publishing nine to date. Each CPIC guideline adheres to a standardized format and includes a standard system for grading levels of evidence linking genotypes to phenotypes and assigning a level of strength to each prescribing recommendation. CPIC guidelines contain the necessary information to help clinicians translate patient-specific diplotypes for each gene into clinical phenotypes or drug dosing groups. This paper reviews the development process of the CPIC guidelines and compares this process to the Institute of Medicine’s Standards for Developing Trustworthy Clinical Practice Guidelines. PMID:24479687

  16. Prototype interface facility for intelligent handling and processing of medical image and data

    NASA Astrophysics Data System (ADS)

    Lymberopoulos, Dimitris C.; Garantziotis, Giannis; Spiropoulos, Kostas V.; Kotsopoulos, Stavros A.; Goutis, Costas E.

    1993-06-01

    This paper introduces an interface facility (IF) developed within the overall framework of RACE research project. Due to the nature of the project which it has been focused in the Remote Medical Expert Consultation, the involvement of distances, the versatile user advocation and familiarity with newly introduced methods of medical diagnosis, considerable deficiencies can arise. The aim was to intelligently assist the user/physician by providing an ergonomic environment which would contain operational and functional deficiencies to the lowest possible levels. IF, energizes and activates system and application level commands and procedures along with the necessary exemplified and instructional help facilities, in order to concisely allow the user to interact with the system safely and easily at all levels.

  17. Designed strength identification of concrete by ultrasonic signal processing based on artificial intelligence techniques.

    PubMed

    Kim, Se-Dong; Shin, Dong-Hwan; Lim, Lea-Mook; Lee, Jin; Kim, Sung-Hwan

    2005-07-01

    This paper presents a pattern recognition method to identify the designed strength of concrete by evidence accumulation based on artificial intelligence techniques with multiple feature parameters. Concrete specimens in this experiment, which were designed to have the strengths of 180, 210, 240, 300, and 400 kg/cm2, respectively, have been considered. Variance, zero-crossing, mean frequency, autoregressive (AR) model coefficients, and linear cepstrum coefficients are extracted as feature parameters from ultrasonic signals of concretes. Pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. A fuzzy mapping function is introduced to transform the distance for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for concrete pattern identification. PMID:16212253

  18. Intelligent Machines in the 21st Century: Automating the Processes of Inference and Inquiry

    NASA Technical Reports Server (NTRS)

    Knuth, Kevin H.

    2003-01-01

    The last century saw the application of Boolean algebra toward the construction of computing machines, which work by applying logical transformations to information contained in their memory. The development of information theory and the generalization of Boolean algebra to Bayesian inference have enabled these computing machines. in the last quarter of the twentieth century, to be endowed with the ability to learn by making inferences from data. This revolution is just beginning as new computational techniques continue to make difficult problems more accessible. However, modern intelligent machines work by inferring knowledge using only their pre-programmed prior knowledge and the data provided. They lack the ability to ask questions, or request data that would aid their inferences. Recent advances in understanding the foundations of probability theory have revealed implications for areas other than logic. Of relevance to intelligent machines, we identified the algebra of questions as the free distributive algebra, which now allows us to work with questions in a way analogous to that which Boolean algebra enables us to work with logical statements. In this paper we describe this logic of inference and inquiry using the mathematics of partially ordered sets and the scaffolding of lattice theory, discuss the far-reaching implications of the methodology, and demonstrate its application with current examples in machine learning. Automation of both inference and inquiry promises to allow robots to perform science in the far reaches of our solar system and in other star systems by enabling them to not only make inferences from data, but also decide which question to ask, experiment to perform, or measurement to take given what they have learned and what they are designed to understand.

  19. INTELLIGENT MONITORING SYSTEM WITH HIGH TEMPERATURE DISTRIBUTED FIBEROPTIC SENSOR FOR POWER PLANT COMBUSTION PROCESSES

    SciTech Connect

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2004-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, improvement was made on the performance of in-fiber grating fabricated in single crystal sapphire fibers, test was performed on the grating performance of single crystal sapphire fiber with new fabrication methods, and the fabricated grating was applied to high temperature sensor. Under Task 2, models obtained from 3-D modeling of the Demonstration Boiler were used to study relationships between temperature and NOx, as the multi-dimensionality of such systems are most comparable with real-life boiler systems. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic

  20. Intelligent Monitoring System with High Temperature Distributed Fiberoptic Sensor for Power Plant Combustion Processes

    SciTech Connect

    Kwang Y. Lee; Stuart S. Yin; Andre Boehman

    2006-09-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we have set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors have been completed. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we have investigated a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. Given a set of empirical data with no analytic expression, we first developed an analytic description and then extended that model along a single axis.

  1. Intelligent Monitoring System With High Temperature Distributed Fiberoptic Sensor For Power Plant Combustion Processes

    SciTech Connect

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2005-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic expression, we first develop an analytic description and then extend that model along a single axis. Extrapolation

  2. A life cycle model of continuous clinical process innovation.

    PubMed

    Savitz, L A; Kaluzny, A D; Kelly, D L

    2000-01-01

    The changing healthcare environment has created a sense of urgency for continuous innovation in clinical care processes. Managers and clinicians are investing unprecedented funds and energy in the development of various clinical process innovations (CPI) such as clinical pathways, electronic workstations, and various forms of information technology. While increasing attention has been paid to the development of such initiatives, our understanding of how best to disseminate and ensure their use is limited. In this first of two articles dealing with the dissemination and use of CPI in integrated delivery systems, we present a "life cycle" model of the dissemination process and suggest opportunities for managing CPI. The management of CPI requires more than just an understanding of the factors that may facilitate or impede its implementation and use. Managers require an understanding of the actual process so that they can assess the specific implementation stage at which the organization is presently operating, and design appropriate interventions that can affect the process. A future article will identify the factors that facilitate and inhibit the process and suggest some intervention strategies. PMID:11067423

  3. Natural Language Processing Technologies in Radiology Research and Clinical Applications.

    PubMed

    Cai, Tianrun; Giannopoulos, Andreas A; Yu, Sheng; Kelil, Tatiana; Ripley, Beth; Kumamaru, Kanako K; Rybicki, Frank J; Mitsouras, Dimitrios

    2016-01-01

    The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to the heterogeneity of how these data are formatted. Indeed, although there is movement toward structured reporting in radiology (ie, hierarchically itemized reporting with use of standardized terminology), the majority of radiology reports remain unstructured and use free-form language. To effectively "mine" these large datasets for hypothesis testing, a robust strategy for extracting the necessary information is needed. Manual extraction of information is a time-consuming and often unmanageable task. "Intelligent" search engines that instead rely on natural language processing (NLP), a computer-based approach to analyzing free-form text or speech, can be used to automate this data mining task. The overall goal of NLP is to translate natural human language into a structured format (ie, a fixed collection of elements), each with a standardized set of choices for its value, that is easily manipulated by computer programs to (among other things) order into subcategories or query for the presence or absence of a finding. The authors review the fundamentals of NLP and describe various techniques that constitute NLP in radiology, along with some key applications. PMID:26761536

  4. Fostering new relational experience: clinical process in couple psychotherapy.

    PubMed

    Marmarosh, Cheri L

    2014-03-01

    One of the most critical goals for couple psychotherapy is to foster a new relational experience in the session where the couple feels safe enough to reveal more vulnerable emotions and to explore their defensive withdrawal, aggressive attacking, or blaming. The lived intimate experience in the session offers the couple an opportunity to gain integrative insight into their feelings, expectations, and behaviors that ultimately hinder intimacy. The clinical processes that are necessary include empathizing with the couple and facilitating safety within the session, looking for opportunities to explore emotions, ruptures, and unconscious motivations that maintain distance in the relationship, and creating a new relational experience in the session that has the potential to engender integrative insight. These clinical processes will be presented with empirical support. Experts from a session will be used to highlight how these processes influence the couple and promote increased intimacy. (PsycINFO Database Record (c) 2014 APA, all rights reserved). PMID:24059733

  5. System with automated exploring of problems for intelligent data processes by ergonomic dialog

    SciTech Connect

    Scholz-Nauendorff, C.C.

    1982-01-01

    The CCSN system results on fundamental research, concern human brain learning and processes of human thinking. The research concerns reproduction of such learning and thinking processes, interactive data processing and automatic formation of abstracts.

  6. Towards a semantic lexicon for clinical natural language processing.

    PubMed

    Liu, Hongfang; Wu, Stephen T; Li, Dingcheng; Jonnalagadda, Siddhartha; Sohn, Sunghwan; Wagholikar, Kavishwar; Haug, Peter J; Huff, Stanley M; Chute, Christopher G

    2012-01-01

    A semantic lexicon which associates words and phrases in text to concepts is critical for extracting and encoding clinical information in free text and therefore achieving semantic interoperability between structured and unstructured data in Electronic Health Records (EHRs). Directly using existing standard terminologies may have limited coverage with respect to concepts and their corresponding mentions in text. In this paper, we analyze how tokens and phrases in a large corpus distribute and how well the UMLS captures the semantics. A corpus-driven semantic lexicon, MedLex, has been constructed where the semantics is based on the UMLS assisted with variants mined and usage information gathered from clinical text. The detailed corpus analysis of tokens, chunks, and concept mentions shows the UMLS is an invaluable source for natural language processing. Increasing the semantic coverage of tokens provides a good foundation in capturing clinical information comprehensively. The study also yields some insights in developing practical NLP systems. PMID:23304329

  7. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Waltz, David L.

    1982-01-01

    Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…

  8. Detecting fast, online reasoning processes in clinical decision making.

    PubMed

    Flores, Amanda; Cobos, Pedro L; López, Francisco J; Godoy, Antonio

    2014-06-01

    In an experiment that used the inconsistency paradigm, experienced clinical psychologists and psychology students performed a reading task using clinical reports and a diagnostic judgment task. The clinical reports provided information about the symptoms of hypothetical clients who had been previously diagnosed with a specific mental disorder. Reading times of inconsistent target sentences were slower than those of control sentences, demonstrating an inconsistency effect. The results also showed that experienced clinicians gave different weights to different symptoms according to their relevance when fluently reading the clinical reports provided, despite the fact that all the symptoms were of equal diagnostic value according to the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; American Psychiatric Association, 2000). The diagnostic judgment task yielded a similar pattern of results. In contrast to previous findings, the results of the reading task may be taken as direct evidence of the intervention of reasoning processes that occur very early, rapidly, and online. We suggest that these processes are based on the representation of mental disorders and that these representations are particularly suited to fast retrieval from memory and to making inferences. They may also be related to the clinicians' causal reasoning. The implications of these results for clinician training are also discussed. PMID:24274045

  9. Development of an intelligent grinding wheel for in-process monitoring of ceramic grinding. Semi-annual report {number_sign}3

    SciTech Connect

    Malkin, S.; Gao, R.; Guo, C.; Varghese, B.; Pathare, S.

    1998-03-26

    This is the third semi-annual report for the project. The overall objective of this project is to develop sensor-integrated intelligent diamond wheels for grinding of ceramics. Such wheels will be smart enough to monitor and supervise both the wheel preparation and grinding processes without the need to instrument the machine tool. Intelligent wheels will utilize re-useable cores integrated with sensors: to measure the acoustic emission (AE) and grinding force. Signals from the sensors will be transmitted from a rotating wheel to a receiver by telemetry. Wheels will be trained to recognize distinct characteristics associated with truing, dressing and grinding. The technical progress is summarized in this report.

  10. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Information Technology Quarterly, 1985

    1985-01-01

    This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

  11. Artificial Intelligence.

    ERIC Educational Resources Information Center

    Thornburg, David D.

    1986-01-01

    Overview of the artificial intelligence (AI) field provides a definition; discusses past research and areas of future research; describes the design, functions, and capabilities of expert systems and the "Turing Test" for machine intelligence; and lists additional sources for information on artificial intelligence. Languages of AI are also briefly…

  12. Organisational Intelligence

    ERIC Educational Resources Information Center

    Yolles, Maurice

    2005-01-01

    Purpose: Seeks to explore the notion of organisational intelligence as a simple extension of the notion of the idea of collective intelligence. Design/methodology/approach: Discusses organisational intelligence using previous research, which includes the Purpose, Properties and Practice model of Dealtry, and the Viable Systems model. Findings: The…

  13. BLOOD-BORNE ACTIVITY-DEPENDENT NEUROPROTECTIVE PROTEIN (ADNP) IS CORRELATED WITH PREMORBID INTELLIGENCE, CLINICAL STAGE AND ALZHEIMER’S DISEASE BIOMARKERS

    PubMed Central

    Malishkevich, Anna; Marshall, Gad A.; Schultz, Aaron P.; Sperling, Reisa A.; Aharon-Peretz, Judith; Gozes, Illana

    2015-01-01

    Biomarkers for Alzheimer’s disease (AD) are vital for disease detection in the clinical setting. Discovered in our laboratory, activity-dependent neuroprotective protein (ADNP) is essential for brain formation and linked to cognitive functions. Here, we revealed that blood borne expression of ADNP and its paralog ADNP2 is correlated with premorbid intelligence, AD pathology, and clinical stage. Age adjustment showed significant associations between: 1] higher premorbid intelligence and greater serum ADNP, and 2] greater cortical amyloid and lower ADNP and ADNP2 mRNAs. Significant increases in ADNP mRNA levels were observed in patients ranging from mild cognitive impairment (MCI) to AD dementia. ADNP2 transcripts showed high correlation with ADNP transcripts, especially in AD dementia lymphocytes. ADNP plasma/serum and lymphocyte mRNA levels discriminated well between cognitively normal elderly, MCI, and AD dementia participants. Measuring ADNP blood-borne levels could bring us a step closer to effectively screening and tracking AD. PMID:26639975

  14. Introduction to artificial intelligence

    SciTech Connect

    Gevarter, W.B.

    1987-09-01

    The author discusses the development of artificial intelligence (AI). He explains the basic elements of AI: Heuristic search, knowledge representation, AI languages and tools, Natural Language Processing, computer vision, expert systems and problem solving and planning.

  15. Towards an Intelligent Textbook of Neurology

    PubMed Central

    Reggia, James A.; Pula, Thaddeus P.; Price, Thomas R.; Perricone, Barry T.

    1980-01-01

    We define an intelligent textbook of medicine to be a computer system that: (1) provides for storage and selective retrieval of synthesized clinical knowledge for reference purposes; and (2) supports the application by computer of its knowledge to patient information to assist physicians with decision making. This paper describes an experimental system called KMS (a Knowledge Management System) for creating and using intelligent medical textbooks. KMS is domain-independent, supports multiple inference methods and representation languages, and is designed for direct use by physicians during the knowledge acquisition process. It is presented here in the context of the development of an Intelligent Textbook of Neurology. We suggest that KMS has the potential to overcome some of the problems that have inhibited the use of knowledge-based systems by physicians in the past.

  16. [Controlled study of an abbreviated form of the Hamburg-Wechsler Intelligence Test for Adults (HAWIE, Dahl's WIP) in a heterogenous clinical group].

    PubMed

    Olbrich, R

    1976-01-01

    The "reduzierte Wechsler-Intelligenztest für psychiatrische Kranke (WIP)" by Dahl, a short form of the German version (HAWIE) of the Wechsler-Bellevue Intelligence Scale, comprising the subtests Information, Similarities, Picture Completion and Block Design was applied in a replication study to a heterogeneous group of 420 mental patients. Results show a sufficiently high level of agreement (multiple correlation) between the present test and the HAWIE-IQ. With this result and a sample independence of the correlation, two of the requirements of board clinical application of the WIP are met. On the other hand Dahl's assumption that the WIP represents the optimal (quadruple)combination of subtests of the full scale was not confirmed. Criticisms of the WIP in the literature are discussed. On the basis of previous studies and the present investigations it is held that the WIP is a useful contribution to measurement of general ability in a clinical setting. PMID:952032

  17. Pathogen intelligence

    PubMed Central

    Steinert, Michael

    2014-01-01

    Different species inhabit different sensory worlds and thus have evolved diverse means of processing information, learning and memory. In the escalated arms race with host defense, each pathogenic bacterium not only has evolved its individual cellular sensing and behavior, but also collective sensing, interbacterial communication, distributed information processing, joint decision making, dissociative behavior, and the phenotypic and genotypic heterogeneity necessary for epidemiologic success. Moreover, pathogenic populations take advantage of dormancy strategies and rapid evolutionary speed, which allow them to save co-generated intelligent traits in a collective genomic memory. This review discusses how these mechanisms add further levels of complexity to bacterial pathogenicity and transmission, and how mining for these mechanisms could help to develop new anti-infective strategies. PMID:24551600

  18. Natural language processing and the representation of clinical data.

    PubMed Central

    Sager, N; Lyman, M; Bucknall, C; Nhan, N; Tick, L J

    1994-01-01

    OBJECTIVE: Develop a representation of clinical observations and actions and a method of processing free-text patient documents to facilitate applications such as quality assurance. DESIGN: The Linguistic String Project (LSP) system of New York University utilizes syntactic analysis, augmented by a sublanguage grammar and an information structure that are specific to the clinical narrative, to map free-text documents into a database for querying. MEASUREMENTS: Information precision (I-P) and information recall (I-R) were measured for queries for the presence of 13 asthma-health-care quality assurance criteria in a database generated from 59 discharge letters. RESULTS: I-P, using counts of major errors only, was 95.7% for the 28-letter training set and 98.6% for the 31-letter test set. I-R, using counts of major omissions only, was 93.9% for the training set and 92.5% for the test set. PMID:7719796

  19. Designing a Spatially Intelligent Public Participative System for the Environmental Impact Assessment Process

    ERIC Educational Resources Information Center

    Lei, Lei

    2013-01-01

    Environmental Impact Assessment (EIA) is a decision-making process that often involves public participation in the scoping and reviewing stage. Although the importance of engaging the public in the EIA process has long been recognized, it is often considered ineffective due to factors such as time, budget, resource, technical and procedural…

  20. Sub pixel analysis and processing of sensor data for mobile target intelligence information and verification

    NASA Astrophysics Data System (ADS)

    Williams, Theresa Allen

    This dissertation introduces a novel process to study and analyze sensor data in order to obtain information pertaining to mobile targets at the sub-pixel level. The process design is modular in nature and utilizes a set of algorithmic tools for change detection, target extraction and analysis, super-pixel processing and target refinement. The scope of this investigation is confined to a staring sensor that records data of sub-pixel vehicles traveling horizontally across the ground. Statistical models of the targets and background are developed with noise and jitter effects. Threshold Change Detection, Duration Change Detection and Fast Adaptive Power Iteration (FAPI) Detection techniques are the three methods used for target detection. The PolyFit and FermiFit are two tools developed and employed for target analysis, which allows for flexible processing. Tunable parameters in the detection methods, along with filters for false alarms, show the adaptability of the procedures. Super-pixel processing tools are designed, and Refinement Through Tracking (RTT) techniques are investigated as post-processing refinement options. The process is tested on simulated datasets, and validated with sensor datasets obtained from RP Flight Systems, Inc.

  1. Expert model for intelligent control of composite materials processing in a press

    NASA Astrophysics Data System (ADS)

    Saliba, Tony E.; Quinter, Suzanne R.; Abrams, Frances L.

    1992-02-01

    An expert model for the in-process control of the press processing of thermoset composite materials has been developed. The knowledge base written using Personal Consultant Plus (PC Plus) expert system shell was interfaced with models written in FORTRAN. The expert model, which is running on a single computer with a single processor, takes advantage of the symbol crunching capability of the LISP computer language and the number crunching capability of FORTRAN. The expert model control system is a qualitative-quantitative process automation (QQPA) system since it includes both quantitative model-based and qualitative rule-based expert system operations. The feasibility of using models to determine the process state when sensors are not available or are malfunctioning was demonstrated. Hercules 3501-6/AS4 8-in x 8-in panels were processed in the heated-platens press, using both the standard cure cycle and the expert model control system. Various physical and mechanical properties were measured from panels processed using the two cycles. Using QQPA, processing time has been reduced significantly without altering product quality.

  2. 21 CFR 862.2100 - Calculator/data processing module for clinical use.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Laboratory Instruments § 862.2100 Calculator/data processing module for clinical use. (a) Identification. A calculator... 21 Food and Drugs 8 2012-04-01 2012-04-01 false Calculator/data processing module for clinical...

  3. 21 CFR 862.2100 - Calculator/data processing module for clinical use.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Laboratory Instruments § 862.2100 Calculator/data processing module for clinical use. (a) Identification. A calculator... 21 Food and Drugs 8 2014-04-01 2014-04-01 false Calculator/data processing module for clinical...

  4. 21 CFR 862.2100 - Calculator/data processing module for clinical use.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Laboratory Instruments § 862.2100 Calculator/data processing module for clinical use. (a) Identification. A calculator... 21 Food and Drugs 8 2013-04-01 2013-04-01 false Calculator/data processing module for clinical...

  5. 21 CFR 862.2100 - Calculator/data processing module for clinical use.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical Laboratory Instruments § 862.2100 Calculator/data processing module for clinical use. (a) Identification. A calculator... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Calculator/data processing module for clinical...

  6. Intelligent flight control systems

    NASA Technical Reports Server (NTRS)

    Stengel, Robert F.

    1993-01-01

    The capabilities of flight control systems can be enhanced by designing them to emulate functions of natural intelligence. Intelligent control functions fall in three categories. Declarative actions involve decision-making, providing models for system monitoring, goal planning, and system/scenario identification. Procedural actions concern skilled behavior and have parallels in guidance, navigation, and adaptation. Reflexive actions are spontaneous, inner-loop responses for control and estimation. Intelligent flight control systems learn knowledge of the aircraft and its mission and adapt to changes in the flight environment. Cognitive models form an efficient basis for integrating 'outer-loop/inner-loop' control functions and for developing robust parallel-processing algorithms.

  7. Enhancing patient participation: clinical strategies in the discharge planning process.

    PubMed

    Abramson, J S

    1990-01-01

    Social workers are in an excellent position to develop clinical interventions to enhance patient control over decision making about post hospital care. Participation in decision making has been identified in many studies as influencing well-being, health status and even mortality rates for elderly individuals facing relocation. Some of the practice patterns that support patient autonomy include: (1) involving the patient when working with families; (2) reaching for underlying conflict; (3) creating a sense of choice within existing parameters; (4) preparing patients for discharge; and (5) educating families and hospital caretakers to assist in this process. PMID:2237714

  8. Intelligent robots and computer vision

    SciTech Connect

    Casasent, D.P.

    1986-01-01

    This book presents the papers given at a conference on artificial intelligence and robot vision. Topics considered at the conference included pattern recognition, image processing for intelligent robotics, three-dimensional vision (depth and motion), vision modeling and shape estimation, spatial reasoning, the symbolic processing visual information, robotic sensors and applications, intelligent control architectures for robot systems, robot languages and programming, human-machine interfaces, robotics applications, and architectures of robotics.

  9. Spiritual Intelligence: The Tenth Intelligence that Integrates All Other Intelligences.

    ERIC Educational Resources Information Center

    Sisk, Dorothy

    2002-01-01

    This article discusses seven ways to develop spiritual intelligence, including: think about goals and identify values; access inner processes and use visualization to see goals fulfilled; integrate personal and universal vision; take responsibility for goals; develop a sense of community; focus on love and compassion; and take advantages of…

  10. Implementing Clinical governance in Iranian hospitals: purpose, process and pitfalls

    PubMed Central

    Mohaghegh, Bahram; Ravaghi, Hamid; Mannion, Russell; Heidarpoor, Peigham; Sajadi, Haniye Sadat

    2016-01-01

    Introduction Clinical governance as an approach to improving the quality and safety of clinical care has been run in all Iranian hospitals since 2009. This study aimed to provide a comprehensive overview of the processes and challenges faced in implementing clinical governance (CG) in acute-care hospitals in Iran. Methods We conducted an in-depth, qualitative, multi-case study using semi-structured interviews with a range of key stakeholders and review of relevant documents. This study was conducted in 2011–2012 in six governmental hospitals affiliated with Tehran University of Medical Sciences. The data were analyzed using framework analysis. Results The interviewees, predominantly senior managers and nurses, expressed generally positive attitudes towards the benefits of CG. Four out of the six hospitals had a formal strategic plan to implement and execute CG. The emergent barriers to the implementation of CG included insufficient resources, the absence of clear supporting structures, a lack of supportive cultures, and inadequate support from senior management. The main facilitating factors were the reverse of the barriers noted above in addition to developing good relationships with key stakeholders, raising the awareness of CG among staff, and well-designed incentives. Conclusions There is a positive sense towards CG, but its successful implementation in Iran will require raising the awareness of CG among staff and key stakeholders and the successful collaboration of internal staff and external agencies. PMID:26952249

  11. Optimization of Sinter Plant Operating Conditions Using Advanced Multivariate Statistics: Intelligent Data Processing

    NASA Astrophysics Data System (ADS)

    Fernández-González, Daniel; Martín-Duarte, Ramón; Ruiz-Bustinza, Íñigo; Mochón, Javier; González-Gasca, Carmen; Verdeja, Luis Felipe

    2016-06-01

    Blast furnace operators expect to get sinter with homogenous and regular properties (chemical and mechanical), necessary to ensure regular blast furnace operation. Blends for sintering also include several iron by-products and other wastes that are obtained in different processes inside the steelworks. Due to their source, the availability of such materials is not always consistent, but their total production should be consumed in the sintering process, to both save money and recycle wastes. The main scope of this paper is to obtain the least expensive iron ore blend for the sintering process, which will provide suitable chemical and mechanical features for the homogeneous and regular operation of the blast furnace. The systematic use of statistical tools was employed to analyze historical data, including linear and partial correlations applied to the data and fuzzy clustering based on the Sugeno Fuzzy Inference System to establish relationships among the available variables.

  12. An Introduction to Intelligent Processing Programs Developed by the Air Force Manufacturing Technology Directorate

    NASA Technical Reports Server (NTRS)

    Sampson, Paul G.; Sny, Linda C.

    1992-01-01

    The Air Force has numerous on-going manufacturing and integration development programs (machine tools, composites, metals, assembly, and electronics) which are instrumental in improving productivity in the aerospace industry, but more importantly, have identified strategies and technologies required for the integration of advanced processing equipment. An introduction to four current Air Force Manufacturing Technology Directorate (ManTech) manufacturing areas is provided. Research is being carried out in the following areas: (1) machining initiatives for aerospace subcontractors which provide for advanced technology and innovative manufacturing strategies to increase the capabilities of small shops; (2) innovative approaches to advance machine tool products and manufacturing processes; (3) innovative approaches to advance sensors for process control in machine tools; and (4) efforts currently underway to develop, with the support of industry, the Next Generation Workstation/Machine Controller (Low-End Controller Task).

  13. Intelligent tools and process development for robotic edge finishing: LDRD project final report

    SciTech Connect

    Lewis, C.L.

    1997-08-01

    This report describes a project undertaken to develop an agile automated, high-precision edge finishing system, for fabricating precision parts. The project involved re-designing and adding additional capabilities to an existing finishing work-cell. The resulting work-cell may serve as prototype for production systems to be integrated in highly flexible automated production lines. The system removes burrs formed in the machining process and produces precision chamfers. The system uses an expert system to predict the burr size from the machining history. Within the CAD system, tool paths are generated for burr removal and chamfer formation. Then, the optimal grinding process is automatically selected from a database of processes. The tool trajectory and the selected process definition is then downloaded to a robotic control system to execute the operation. The robotic control system implements a hybrid fuzzy logic-classical control scheme to achieve the desired performance goals regardless of tolerance and fixturing errors. This report describes the system architecture and the system`s performance.

  14. Intelligent Knowledge Gathering and Management as New Ways of an Improved Learning Process.

    ERIC Educational Resources Information Center

    Dietinger, Thomas; Gutl, Christian; Maurer, Hermann; Pivec, Maja; Schmaranz, Klaus

    Researchers at the Institute for Information Processing and Computer Supported New Media (IICM) at Graz University of Technology, Austria, are currently developing GENTLE, an electronic lecturing system combined with a digital lecture library, for teachers and students. The system contains collections of lessons, synchronous and asynchronous…

  15. Intelligent Modeling Combining Adaptive Neuro Fuzzy Inference System and Genetic Algorithm for Optimizing Welding Process Parameters

    NASA Astrophysics Data System (ADS)

    Gowtham, K. N.; Vasudevan, M.; Maduraimuthu, V.; Jayakumar, T.

    2011-04-01

    Modified 9Cr-1Mo ferritic steel is used as a structural material for steam generator components of power plants. Generally, tungsten inert gas (TIG) welding is preferred for welding of these steels in which the depth of penetration achievable during autogenous welding is limited. Therefore, activated flux TIG (A-TIG) welding, a novel welding technique, has been developed in-house to increase the depth of penetration. In modified 9Cr-1Mo steel joints produced by the A-TIG welding process, weld bead width, depth of penetration, and heat-affected zone (HAZ) width play an important role in determining the mechanical properties as well as the performance of the weld joints during service. To obtain the desired weld bead geometry and HAZ width, it becomes important to set the welding process parameters. In this work, adaptative neuro fuzzy inference system is used to develop independent models correlating the welding process parameters like current, voltage, and torch speed with weld bead shape parameters like depth of penetration, bead width, and HAZ width. Then a genetic algorithm is employed to determine the optimum A-TIG welding process parameters to obtain the desired weld bead shape parameters and HAZ width.

  16. Synthesis and processing of intelligent cost-effective structures phase II (SPICES II): smart materials aircraft applications evaluation

    NASA Astrophysics Data System (ADS)

    Dunne, James P.; Jacobs, Steven W.; Baumann, Erwin W.

    1998-06-01

    The second phase of the synthesis and processing of intelligent cost effective structures (SPICES II) program sought to identify high payoff areas for both naval and aerospace military systems and to evaluate military systems and to evaluate the benefits of smart materials incorporation based on their ability to redefine the mission scenario of the candidate platforms in their respective theaters of operation. The SPICES II consortium, consisting of The Boeing Company, Electric Boat Corporation, United Technologies Research Center, and Pennsylvania State University, surveyed the state-of-the-art in smart structures and evaluated potential applications to military aircraft, marine and propulsion systems components and missions. Eleven baseline platforms comprising a wide variety of missions were chosen for evaluation. Each platform was examined in its field of operation for areas which can be improved using smart materials insertion. Over 250 smart materials applications were proposed to enhance the platforms. The applications were examined and, when possible, quantitatively analyzed for their effect on mission performance. The applications were then ranked for payoff, risk, and time frame for development and demonstration. Details of the efforts made in the SPICES II program pertaining to smart structure applications on military and transport aircraft will be presented. A brief discussion of the core technologies will be followed by presentation of the criteria used in ranking each application. Thereafter, a selection of the higher ranking proposed concepts are presented in detail.

  17. Computational Intelligence and Image Processing Methods for Applications in Skin Cancer Diagnosis

    NASA Astrophysics Data System (ADS)

    Ogorzałek, Maciej; Surówka, Grzegorz; Nowak, Leszek; Merkwirth, Christian

    Digital photography provides new powerful diagnostic tools in dermatology. Dermoscopy is a special photography technique which enables taking photos of skin lesions in chosen lighting conditions. Digital photography allows for seeing details of the skin changes under various enlargements and coloring. Computer-assisted techniques and image processing methods can be further used for image enhancement and analysis and for feature extraction and pattern recognition in the selected images. Special techniques used in skin-image processing are discussed in detail. Feature extraction methods and automated classification techniques based on statistical learning and model ensembling techniques provide very powerful tools which can assist the doctors in taking decisions. Performance of classifiers will be discussed in specific case of melanoma cancer diagnosis. The techniques have been tested on a large data set of images.

  18. Introduction of an innovative water based photoresist stripping process using intelligent fluids

    NASA Astrophysics Data System (ADS)

    Rudolph, Matthias; Thrun, Xaver; Schumann, Dirk; Hoehne, Anita; Esche, Silvio; Hohle, Christoph

    2014-03-01

    The usage of phasefluid based stripping agents to remove photoresists from silicon substrates was studied. Due to their highly dynamic inner structure phasefluids offer a new working principle, they are penetrating layers through smallest openings and lift off the material from the surface. These non-aggressive stripping fluids were investigated regarding their cleaning efficiency as well as contamination behavior to enable usage in semiconductor and MEMS manufacturing. A general proof of concept for the usage of phasefluids in resist stripping processes is shown on silicon coupons and BKM's are given for different resist types. In addition a baseline process on 12inch wafers has been developed and characterized in terms of metallic and ionic impurities and defect level.

  19. How to build an information gathering and processing system: lessons from naturally and artificially intelligent systems.

    PubMed

    Chappell, Jackie; Demery, Zoe P; Arriola-Rios, Veronica; Sloman, Aaron

    2012-02-01

    Imagine a situation in which you had to design a physical agent that could collect information from its environment, then store and process that information to help it respond appropriately to novel situations. What kinds of information should it attend to? How should the information be represented so as to allow efficient use and re-use? What kinds of constraints and trade-offs would there be? There are no unique answers. In this paper, we discuss some of the ways in which the need to be able to address problems of varying kinds and complexity can be met by different information processing systems. We also discuss different ways in which relevant information can be obtained, and how different kinds of information can be processed and used, by both biological organisms and artificial agents. We analyse several constraints and design features, and show how they relate both to biological organisms, and to lessons that can be learned from building artificial systems. Our standpoint overlaps with Karmiloff-Smith (1992) in that we assume that a collection of mechanisms geared to learning and developing in biological environments are available in forms that constrain, but do not determine, what can or will be learnt by individuals. PMID:22008634

  20. An intelligent pre-processing framework for standardizing medical images for CAD and other post-processing applications

    NASA Astrophysics Data System (ADS)

    Raghupathi, Lakshminarasimhan; Devarakota, Pandu R.; Wolf, Matthias

    2012-03-01

    There is an increasing need to provide end-users with seamless and secure access to healthcare information acquired from a diverse range of sources. This might include local and remote hospital sites equipped with different vendors and practicing varied acquisition protocols and also heterogeneous external sources such as the Internet cloud. In such scenarios, image post-processing tools such as CAD (computer-aided diagnosis) which were hitherto developed using a smaller set of images may not always work optimally on newer set of images having entirely different characteristics. In this paper, we propose a framework that assesses the quality of a given input image and automatically applies an appropriate pre-processing method in such a manner that the image characteristics are normalized regardless of its source. We focus mainly on medical images, and the objective of the said preprocessing method is to standardize the performance of various image processing and workflow applications like CAD to perform in a consistent manner. First, our system consists of an assessment step wherein an image is evaluated based on criteria such as noise, image sharpness, etc. Depending on the measured characteristic, we then apply an appropriate normalization technique thus giving way to our overall pre-processing framework. A systematic evaluation of the proposed scheme is carried out on large set of CT images acquired from various vendors including images reconstructed with next generation iterative methods. Results demonstrate that the images are normalized and thus suitable for an existing LungCAD prototype1.

  1. Future benefits and applications of intelligent on-board processing to VSAT services

    NASA Technical Reports Server (NTRS)

    Price, Kent M.; Kwan, Robert K.; Edward, Ron; Faris, F.; Inukai, Tom

    1992-01-01

    The trends and roles of VSAT services in the year 2010 time frame are examined based on an overall network and service model for that period. An estimate of the VSAT traffic is then made and the service and general network requirements are identified. In order to accommodate these traffic needs, four satellite VSAT architectures based on the use of fixed or scanning multibeam antennas in conjunction with IF switching or onboard regeneration and baseband processing are suggested. The performance of each of these architectures is assessed and the key enabling technologies are identified.

  2. Creating "Intelligent" Climate Model Ensemble Averages Using a Process-Based Framework

    NASA Astrophysics Data System (ADS)

    Baker, N. C.; Taylor, P. C.

    2014-12-01

    The CMIP5 archive contains future climate projections from over 50 models provided by dozens of modeling centers from around the world. Individual model projections, however, are subject to biases created by structural model uncertainties. As a result, ensemble averaging of multiple models is often used to add value to model projections: consensus projections have been shown to consistently outperform individual models. Previous reports for the IPCC establish climate change projections based on an equal-weighted average of all model projections. However, certain models reproduce climate processes better than other models. Should models be weighted based on performance? Unequal ensemble averages have previously been constructed using a variety of mean state metrics. What metrics are most relevant for constraining future climate projections? This project develops a framework for systematically testing metrics in models to identify optimal metrics for unequal weighting multi-model ensembles. A unique aspect of this project is the construction and testing of climate process-based model evaluation metrics. A climate process-based metric is defined as a metric based on the relationship between two physically related climate variables—e.g., outgoing longwave radiation and surface temperature. Metrics are constructed using high-quality Earth radiation budget data from NASA's Clouds and Earth's Radiant Energy System (CERES) instrument and surface temperature data sets. It is found that regional values of tested quantities can vary significantly when comparing weighted and unweighted model ensembles. For example, one tested metric weights the ensemble by how well models reproduce the time-series probability distribution of the cloud forcing component of reflected shortwave radiation. The weighted ensemble for this metric indicates lower simulated precipitation (up to .7 mm/day) in tropical regions than the unweighted ensemble: since CMIP5 models have been shown to

  3. Modelling intelligent behavior

    NASA Technical Reports Server (NTRS)

    Green, H. S.; Triffet, T.

    1993-01-01

    An introductory discussion of the related concepts of intelligence and consciousness suggests criteria to be met in the modeling of intelligence and the development of intelligent materials. Methods for the modeling of actual structure and activity of the animal cortex have been found, based on present knowledge of the ionic and cellular constitution of the nervous system. These have led to the development of a realistic neural network model, which has been used to study the formation of memory and the process of learning. An account is given of experiments with simple materials which exhibit almost all properties of biological synapses and suggest the possibility of a new type of computer architecture to implement an advanced type of artificial intelligence.

  4. Artificial intelligence

    SciTech Connect

    Firschein, O.

    1984-01-01

    This book presents papers on artificial intelligence. Topics considered include knowledge engineering, expert systems, applications of artificial intelligence to scientific reasoning, planning and problem solving, error recovery in robots through failure reason analysis, programming languages, natural language, speech recognition, map-guided interpretation of remotely-sensed imagery, and image understanding architectures.

  5. Developing a Business Intelligence Process for a Training Module in SharePoint 2010

    NASA Technical Reports Server (NTRS)

    Schmidtchen, Bryce; Solano, Wanda M.; Albasini, Colby

    2015-01-01

    Prior to this project, training information for the employees of the National Center for Critical Processing and Storage (NCCIPS) was stored in an array of unrelated spreadsheets and SharePoint lists that had to be manually updated. By developing a content management system through a web application platform named SharePoint, this training system is now highly automated and provides a much less intensive method of storing training data and scheduling training courses. This system was developed by using SharePoint Designer and laying out the data structure for the interaction between different lists of data about the employees. The automation of data population inside of the lists was accomplished by implementing SharePoint workflows which essentially lay out the logic for how data is connected and calculated between certain lists. The resulting training system is constructed from a combination of five lists of data with a single list acting as the user-friendly interface. This interface is populated with the courses required for each employee and includes past and future information about course requirements. The employees of NCCIPS now have the ability to view, log, and schedule their training information and courses with much more ease. This system will relieve a significant amount of manual input and serve as a powerful informational resource for the employees of NCCIPS in the future.

  6. Flow chemistry: intelligent processing of gas-liquid transformations using a tube-in-tube reactor.

    PubMed

    Brzozowski, Martin; O'Brien, Matthew; Ley, Steven V; Polyzos, Anastasios

    2015-02-17

    reactive gas in a given reaction mixture. We have developed a tube-in-tube reactor device consisting of a pair of concentric capillaries in which pressurized gas permeates through an inner Teflon AF-2400 tube and reacts with dissolved substrate within a liquid phase that flows within a second gas impermeable tube. This Account examines our efforts toward the development of a simple, unified methodology for the processing of gaseous reagents in flow by way of development of a tube-in-tube reactor device and applications to key C-C, C-N, and C-O bond forming and hydrogenation reactions. We further describe the application to multistep reactions using solid-supported reagents and extend the technology to processes utilizing multiple gas reagents. A key feature of our work is the development of computer-aided imaging techniques to allow automated in-line monitoring of gas concentration and stoichiometry in real time. We anticipate that this Account will illustrate the convenience and benefits of membrane tube-in-tube reactor technology to improve and concomitantly broaden the scope of gas/liquid/solid reactions in organic synthesis. PMID:25611216

  7. Intelligent editor/printer enhancements

    NASA Technical Reports Server (NTRS)

    Woodfill, M. C.; Pheanis, D. C.

    1983-01-01

    Microprocessor support hardware, software, and cross assemblers relating to the Motorola 6800 and 6809 process systems were developed. Pinter controller and intelligent CRT development are discussed. The user's manual, design specifications for the MC6809 version of the intelligent printer controller card, and a 132-character by 64-line intelligent CRT display system using a Motorola 6809 MPU, and a one-line assembler and disassembler are provided.

  8. Perfectionism as a transdiagnostic process: a clinical review.

    PubMed

    Egan, Sarah J; Wade, Tracey D; Shafran, Roz

    2011-03-01

    Perfectionism is a risk and maintaining factor for eating disorders, anxiety disorders and depression. The objective of this paper is to review the four bodies of evidence supporting the notion that perfectionism is a transdiagnostic process. First, a review of the literature was conducted that demonstrates the elevation of perfectionism across numerous anxiety disorders, depression, and eating disorders compared to healthy controls. Data is presented that shows perfectionism increases vulnerability for eating disorders, and that it maintains obsessive-compulsive disorder, social anxiety and depression as it predicts treatment outcome in these disorders. Second, evidence is examined showing that elevated perfectionism is associated with co-occurrence of psychopathology. Third, the different conceptualisations of perfectionism are reviewed, including a cognitive-behavioural conceptualisation of clinical perfectionism that can be utilised to understand this transdiagnostic process. Fourth, evidence that treatment of perfectionism results in reductions in anxiety, depression and eating pathology is reviewed. Finally, the importance of clinicians considering the routine assessment and treatment of perfectionism is outlined. PMID:20488598

  9. Group psychotherapy levels of interventions: a clinical process commentary.

    PubMed

    Tasca, Giorgio A; Francis, Kylie; Balfour, Louise

    2014-03-01

    Trainees may experience greater effectiveness as therapists by conceptualizing group therapy interactions as occurring at different levels of functioning. We teach group therapy trainees to be aware of and flexibly direct their interventions to three levels of the group: (a) the intraindividual level, (b) the interpersonal level, and (3) the group-as-a-whole level. Within this conceptualization, we also encourage trainees to reinforce the group structure especially related to safety and secure base and to help group members to self-reflect about their interactions within the group. In this clinical process commentary, we describe a process of pregroup assessment and preparation that includes evaluating individual core relational patterns (CRPs) and how these patterns might express themselves in the three levels of group functioning. A running case presentation provides examples of a CRP formulation, levels of group functioning, and therapist interventions that are specific to each level. Making use of each group level within every session may allow the novice group therapist to sort the complex information they receive in a meaningful way. A therapist who can flexibly attend to and work within each group level will optimize the effectiveness of their interventions. PMID:24059738

  10. Integrating laboratory processes into clinical processes, Web-based laboratory reporting, and the emergence of the virtual clinical laboratory.

    PubMed

    Friedman, B A

    1998-01-01

    References to integration occur frequently in the health-care literature. Integration in this context refers to the blending or merging of the separate components of a health-care organization to form a cohesive and seamless interoperating whole. The health-care industry is now in the process of reorganizing and consolidating through hospital mergers and the creation of provider networks. The stimulus for these activities, all integrative, has been the introduction of managed care as a replacement for fee-for-service reimbursement. Managed care was designed to introduce competition into health-care delivery, and it certainly has succeeded in this goal. The quest for integration in health care is thus a consequence of the shift to managed care and has been driven by the belief that integration will lead to greater efficiency and cost savings in the industry. The major vehicles for achieving integration in the clinical laboratories will be Web-based reporting and the emergence of the virtual clinical laboratory. PMID:10185012

  11. Intelligent Extruder

    SciTech Connect

    AlperEker; Mark Giammattia; Paul Houpt; Aditya Kumar; Oscar Montero; Minesh Shah; Norberto Silvi; Timothy Cribbs

    2003-04-24

    ''Intelligent Extruder'' described in this report is a software system and associated support services for monitoring and control of compounding extruders to improve material quality, reduce waste and energy use, with minimal addition of new sensors or changes to the factory floor system components. Emphasis is on process improvements to the mixing, melting and de-volatilization of base resins, fillers, pigments, fire retardants and other additives in the :finishing'' stage of high value added engineering polymer materials. While GE Plastics materials were used for experimental studies throughout the program, the concepts and principles are broadly applicable to other manufacturers materials. The project involved a joint collaboration among GE Global Research, GE Industrial Systems and Coperion Werner & Pleiderer, USA, a major manufacturer of compounding equipment. Scope of the program included development of a algorithms for monitoring process material viscosity without rheological sensors or generating waste streams, a novel detection scheme for rapid detection of process upsets and an adaptive feedback control system to compensate for process upsets where at line adjustments are feasible. Software algorithms were implemented and tested on a laboratory scale extruder (50 lb/hr) at GE Global Research and data from a production scale system (2000 lb/hr) at GE Plastics was used to validate the monitoring and detection software. Although not evaluated experimentally, a new concept for extruder process monitoring through estimation of high frequency drive torque without strain gauges is developed and demonstrated in simulation. A plan to commercialize the software system is outlined, but commercialization has not been completed.

  12. Three Paper-and-Pencil Tests for Speed of Information Processing: Psychometric Properties and Correlations with Intelligence.

    ERIC Educational Resources Information Center

    Neubauer, Aljoscha C.; Knorr, Evelyn

    1998-01-01

    This paper describes the development and empirical investigation of two new paper-and-pencil measures of elementary cognitive tasks (PP ECTs). In three empirical studies involving 333 adults, the PP ECTs proved reliable. They were substantially correlated with other measures of psychometric intelligence and they displayed convergent validity with…

  13. Exploring Possible Neural Mechanisms of Intelligence Differences Using Processing Speed and Working Memory Tasks: An fMRI Study

    ERIC Educational Resources Information Center

    Waiter, Gordon D.; Deary, Ian J.; Staff, Roger T.; Murray, Alison D.; Fox, Helen C.; Starr, John M.; Whalley, Lawrence J.

    2009-01-01

    To explore the possible neural foundations of individual differences in intelligence test scores, we examined the associations between Raven's Matrices scores and two tasks that were administered in a functional magnetic resonance imaging (fMRI) setting. The two tasks were an n-back working memory (N = 37) task and inspection time (N = 47). The…

  14. Object-Process Analysis of Intelligent Computer Assisted Instruction Shell: The Polymer Couseware--A Case in Point.

    ERIC Educational Resources Information Center

    Dori, Yehudit J.; Dori, Dov

    Recent advances in information technology have made feasible the development of intelligent computer assisted instruction study units. Analysis and design of such systems require the active involvement of a development team consisting of domain experts, educators, and knowledge engineers. Science and technology teaching methods are frequently…

  15. Intelligent Agent Appropriation in the Tracking Phase of an Environmental Scanning Process: A Case Study of a French Trade Union

    ERIC Educational Resources Information Center

    Lafaye, Christophe

    2009-01-01

    Introduction: The rapid growth of the Internet has modified the boundaries of information acquisition (tracking) in environmental scanning. Despite the numerous advantages of this new medium, information overload is an enormous problem for Internet scanners. In order to help them, intelligent agents (i.e., autonomous, automated software agents…

  16. Intelligent Potroom Operation

    SciTech Connect

    Jan Berkow; Larry Banta

    2003-07-29

    The Intelligent Potroom Operation project focuses on maximizing the performance of an aluminum smelter by innovating components for an intelligent manufacturing system. The Intelligent Potroom Advisor (IPA) monitors process data to identify reduction cells exhibiting behaviors that require immediate attention. It then advises operational personnel on those heuristic-based actions to bring the cell back to an optimal operating state in order to reduce the duration and frequency of substandard reduction cell performance referred to as ''Off-Peak Modes'' (OPMs). Techniques developed to identify cells exhibiting OPMs include the use of a finite element model-based cell state estimator for defining the cell's current operating state via advanced cell noise analyses. In addition, rule induction was also employed to identify statistically significant complex behaviors that occur prior to OPMs. The intelligent manufacturing system design, concepts and formalisms developed in this project w ere used as a basis for an intelligent manufacturing system design. Future research will incorporate an adaptive component to automate continuous process improvement, a technology platform with the potential to improve process performance in many of the other Industries of the Future applications as well.

  17. In Pursuit of Artificial Intelligence.

    ERIC Educational Resources Information Center

    Watstein, Sarah; Kesselman, Martin

    1986-01-01

    Defines artificial intelligence and reviews current research in natural language processing, expert systems, and robotics and sensory systems. Discussion covers current commercial applications of artificial intelligence and projections of uses and limitations in library technical and public services, e.g., in cataloging and online information and…

  18. Artificial Intelligence and Language Comprehension.

    ERIC Educational Resources Information Center

    National Inst. of Education (DHEW), Washington, DC. Basic Skills Group. Learning Div.

    The three papers in this volume concerning artificial intelligence and language comprehension were commissioned by the National Institute of Education to further the understanding of the cognitive processes that enable people to comprehend what they read. The first paper, "Artificial Intelligence and Language Comprehension," by Terry Winograd,…

  19. Multiple Intelligences Centers and Projects.

    ERIC Educational Resources Information Center

    Chapman, Carolyn; Freeman, Lynn

    Based upon Gardner's theory of multiple intelligences, this book guides elementary school teachers through the process of using classroom learning centers and projects by providing choices for students. The guide is divided into two sections, providing the theoretical background and information on how to develop multiple intelligences learning…

  20. Distributed Intelligence.

    ERIC Educational Resources Information Center

    McLagan, Patricia A.

    2003-01-01

    Distributed intelligence occurs when people in an organization take responsibility for creating innovations, solving problems, and making decisions. Organizations that have it excel in their markets and the global environment. (Author/JOW)

  1. Intelligent buildings

    SciTech Connect

    Atkin, B.

    1989-01-01

    The term intelligent buildings refers to today's sophisticated living environments that must support communication, energy, fire and security protection systems. This book examines a variety of topics including building automation, information technology, and systems and facilities management.

  2. Development of an ``intelligent grinding wheel`` for in-process monitoring of ceramic grinding. Semi-annual report {number_sign}4

    SciTech Connect

    Malkin, S.; Gao, R.; Guo, C.; Varghese, B.; Pathare, S.

    1998-09-30

    The overall objective of this project is to develop sensor-integrated ``intelligent`` diamond wheels for grinding of ceramics. Such wheels will be ``smart`` enough to monitor and supervise both the wheel preparation and grinding processes without the need to instrument the machine tool. Intelligent wheels will utilize re-useable cores integrated with sensors: to measure the acoustic emission (AE) and grinding force. Signals from the sensors will be transmitted from a rotating wheel to a receiver by telemetry. Wheels will be ``trained`` to recognize distinct characteristics associated with truing, dressing and grinding. This overall project is divided into six tasks as follows: (1) development of miniaturized sensors and data transmission system; (2) wheel design and sensor configuration; (3) calibration of the sensor integrated wheel; (4) training of the intelligent wheel; (5) grinding tests; and (6) prototype demonstration. The technical progress is summarized in this report according to the tasks. All activity during this period has been concerned with the first two interrelated tasks, which need to be completed before undertaking the remaining tasks.

  3. The clinical practice developmental model: the transition process.

    PubMed

    Nuccio, S A; Lingen, D; Burke, L J; Kramer, A; Ladewig, N; Raaum, J; Shearer, B

    1996-12-01

    The authors report their hospital's experience in replicating Benner's novice-to-expert clinical nursing practice model, called the Clinical Practice Developmental Model. The authors describe the outcomes of an exploratory, qualitative study conducted to understand staff nurses' perceptions of their transition experience from a traditional clinical ladder for advancement and recognition to the theoretically based clinical practice developmental model. The findings of this study identify critical factors that influenced nurses' perceptions and describe positive and negative outcomes of transition. Specific recommendations to facilitate organizational changes for the nurse executive and the individual nurse are discussed. PMID:8968322

  4. 21 CFR 862.2100 - Calculator/data processing module for clinical use.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Calculator/data processing module for clinical use. 862.2100 Section 862.2100 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICAL DEVICES CLINICAL CHEMISTRY AND CLINICAL TOXICOLOGY DEVICES Clinical...

  5. Artificial Intelligence--Applications in Education.

    ERIC Educational Resources Information Center

    Poirot, James L.; Norris, Cathleen A.

    1987-01-01

    This first in a projected series of five articles discusses artificial intelligence and its impact on education. Highlights include the history of artificial intelligence and the impact of microcomputers; learning processes; human factors and interfaces; computer assisted instruction and intelligent tutoring systems; logic programing; and expert…

  6. Can Fast and Slow Intelligence Be Differentiated?

    ERIC Educational Resources Information Center

    Partchev, Ivailo; De Boeck, Paul

    2012-01-01

    Responses to items from an intelligence test may be fast or slow. The research issue dealt with in this paper is whether the intelligence involved in fast correct responses differs in nature from the intelligence involved in slow correct responses. There are two questions related to this issue: 1. Are the processes involved different? 2. Are the…

  7. Theme Issue: Experiential Education and Practical Intelligence.

    ERIC Educational Resources Information Center

    Sternberg, Robert J.; And Others

    1993-01-01

    Includes "Intelligence Is More than IQ" (Sternberg); "In Search of Intraterrestrial Intelligence" (Wagner); "On Changing Fundamental Conceptions of Undergraduate Experience" (Guskin); "Experience and Intelligence" (Gotlieb); "Assessing the Value of Cooperative Education" (Williams et al.); and "Adult Learning as a Recursive Process" (Sheckley et…

  8. Inducing Shifts in Clinical Case Processing by Manipulation of Format and Instruction.

    ERIC Educational Resources Information Center

    Wimmers, P. F.; Verkoeijen, P. P. J. L.; van de Wiel, M. W. J.; Schmidt, H. G.

    The knowledge encapsulation theory (H. Schmidt and H. Boshuizen, 1992) predicts that experts under certain conditions shift from the use of clinical knowledge to elaborated biomedical knowledge. In normal routine cases, experts process cases with their encapsulated clinical knowledge. These differences in processing are reflected in clinical case…

  9. Artificial intelligence in hematology.

    PubMed

    Zini, Gina

    2005-10-01

    Artificial intelligence (AI) is a computer based science which aims to simulate human brain faculties using a computational system. A brief history of this new science goes from the creation of the first artificial neuron in 1943 to the first artificial neural network application to genetic algorithms. The potential for a similar technology in medicine has immediately been identified by scientists and researchers. The possibility to store and process all medical knowledge has made this technology very attractive to assist or even surpass clinicians in reaching a diagnosis. Applications of AI in medicine include devices applied to clinical diagnosis in neurology and cardiopulmonary diseases, as well as the use of expert or knowledge-based systems in routine clinical use for diagnosis, therapeutic management and for prognostic evaluation. Biological applications include genome sequencing or DNA gene expression microarrays, modeling gene networks, analysis and clustering of gene expression data, pattern recognition in DNA and proteins, protein structure prediction. In the field of hematology the first devices based on AI have been applied to the routine laboratory data management. New tools concern the differential diagnosis in specific diseases such as anemias, thalassemias and leukemias, based on neural networks trained with data from peripheral blood analysis. A revolution in cancer diagnosis, including the diagnosis of hematological malignancies, has been the introduction of the first microarray based and bioinformatic approach for molecular diagnosis: a systematic approach based on the monitoring of simultaneous expression of thousands of genes using DNA microarray, independently of previous biological knowledge, analysed using AI devices. Using gene profiling, the traditional diagnostic pathways move from clinical to molecular based diagnostic systems. PMID:16203606

  10. Artificial intelligence: Principles and applications

    SciTech Connect

    Yazdami, M.

    1985-01-01

    The book covers the principles of AI, the main areas of application, as well as considering some of the social implications. The applications chapters have a common format structured as follows: definition of the topic; approach with conventional computing techniques; why 'intelligence' would provide a better approach; and how AI techniques would be used and the limitations. The contents discussed are: Principles of artificial intelligence; AI programming environments; LISP, list processing and pattern-making; AI programming with POP-11; Computer processing of natural language; Speech synthesis and recognition; Computer vision; Artificial intelligence and robotics; The anatomy of expert systems - Forsyth; Machine learning; Memory models of man and machine; Artificial intelligence and cognitive psychology; Breaking out of the chinese room; Social implications of artificial intelligence; and Index.

  11. Is Artificial Intelligence Intelligent?

    ERIC Educational Resources Information Center

    Nielsen, Janni

    In order for information to be stored and processed in a computer, it must be reduced to data and organized and systematized in accordance with the rules and principles of formal logic. Reducing manifold reality to data for use by the computer results in loss of information because an arbitrary screening of data eliminates that gathered by the…

  12. The Clinical Proteomic Technologies for Cancer | Characterization Process

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  13. Volume of white matter hyperintensities is an independent predictor of intelligence quotient and processing speed in children with sickle cell disease.

    PubMed

    van der Land, Veronica; Hijmans, Channa T; de Ruiter, Marieke; Mutsaerts, Henri J M M; Cnossen, Marjon H; Engelen, Marc; Majoie, Charles B L M; Nederveen, Aart J; Grootenhuis, Martha A; Fijnvandraat, Karin

    2015-02-01

    Sickle cell disease can be complicated by cerebral white matter hyperintensities (WMHs), which are associated with diminished neurocognitive functioning. The influence of the total volume of WMHs on the degree of neurocognitive dysfunction has not yet been characterized. In our study of 38 patients (mean age 12·5 years) we demonstrated that a higher volume of WMHs was associated with lower full-scale intelligence quotient (IQ), verbal IQ, Processing Speed Index and more fatigue. Our results suggest that volume of WMHs is an additional parameter to take into account when planning individual diagnostic and treatment options. PMID:25303108

  14. Analytical design of intelligent machines

    NASA Technical Reports Server (NTRS)

    Saridis, George N.; Valavanis, Kimon P.

    1987-01-01

    The problem of designing 'intelligent machines' to operate in uncertain environments with minimum supervision or interaction with a human operator is examined. The structure of an 'intelligent machine' is defined to be the structure of a Hierarchically Intelligent Control System, composed of three levels hierarchically ordered according to the principle of 'increasing precision with decreasing intelligence', namely: the organizational level, performing general information processing tasks in association with a long-term memory; the coordination level, dealing with specific information processing tasks with a short-term memory; and the control level, which performs the execution of various tasks through hardware using feedback control methods. The behavior of such a machine may be managed by controls with special considerations and its 'intelligence' is directly related to the derivation of a compatible measure that associates the intelligence of the higher levels with the concept of entropy, which is a sufficient analytic measure that unifies the treatment of all the levels of an 'intelligent machine' as the mathematical problem of finding the right sequence of internal decisions and controls for a system structured in the order of intelligence and inverse order of precision such that it minimizes its total entropy. A case study on the automatic maintenance of a nuclear plant illustrates the proposed approach.

  15. Artificial Intelligence and CALL.

    ERIC Educational Resources Information Center

    Underwood, John H.

    The potential application of artificial intelligence (AI) to computer-assisted language learning (CALL) is explored. Two areas of AI that hold particular interest to those who deal with language meaning--knowledge representation and expert systems, and natural-language processing--are described and examples of each are presented. AI contribution…

  16. Applications of artificial intelligence

    SciTech Connect

    Gilmore, J.F.

    1984-01-01

    This book presents papers given at a conference on expert systems and artificial intelligence. Topics considered at the conference included the location of multiple faults by diagnostic expert systems, knowledge-based systems, natural language, image processing, computer vision, and identification systems.

  17. Intelligence: Theories and Testing.

    ERIC Educational Resources Information Center

    Papanastasiou, Elena C.

    This paper reviews what is known about intelligence and the use of intelligence tests. Environmental and hereditary factors that affect performance on intelligence tests are reviewed, along with various theories that have been proposed about the basis of intelligence. Intelligence tests do not test intelligence per se but make inferences about a…

  18. Intelligent Fasteners

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Under a Small Business Innovation Research contract from Marshall Space Flight Center, Ultrafast, Inc. developed the world's first, high-temperature resistant, "intelligent" fastener. NASA needed a critical-fastening appraisal and validation of spacecraft segments that are coupled together in space. The intelligent-bolt technology deletes the self-defeating procedure of having to untighten the fastener, and thus upset the joint, during inspection and maintenance. The Ultrafast solution yielded an innovation that is likely to revolutionize manufacturing assembly, particularly the automobile industry. Other areas of application range from aircraft, computers and fork-lifts to offshore platforms, buildings, and bridges.

  19. Clinical information process units (CIPUs) - a system ergonomic approach to medical information systems.

    PubMed

    Friesdorf, W; Groß-Alltag, F; Konichezky, S; Arndt, K

    1994-01-01

    This article constitutes an introduction to the basic tools necessary to understand Systems Ergonomics applied to the development of clinical systems. A basic description of clinical patient care in the system ergonomics language is provided, and the current situation found in hospital information management is criticized from an ergonomic point of view. We have laid out a model of the information flow in the clinical environment, which breaks the complex process of patient care in clearly defined elements: the Clinical Information Process Units. Presented here as an example of the application of Systems Ergonomics to the clinical working processes, the Clinical Information Process Units constitute the central element in the system ergonomic model of the information flow in the clinical environment. PMID:25273581

  20. An intelligent robotics control scheme

    NASA Technical Reports Server (NTRS)

    Orlando, N. E.

    1984-01-01

    The problem of robot control is viewed at the level of communicating high-level commands produced by intelligent algorithms to the actuator/sensor controllers. Four topics are considered in the design of an integrated control and communications scheme for an intelligent robotic system: the use of abstraction spaces, hierarchical versus heterarchical control, distributed processing, and the interleaving of the steps of plan creation and plan execution. A scheme is presented for an n-level distributed hierarchical/heterarchical control system that effectively interleaves intelligent planning, execution, and sensory feedback. A three-level version of this scheme has been successfully implemented in the Intelligent Systems Research Lab at NASA Langley Research Center. This implementation forms the control structure for DAISIE (Distributed Artificially Intelligent System for Interacting with the Environment), a testbed system integrating AI software with robotics hardware.

  1. EMOTIONAL INTELLIGENCE AND IMPULSIVE AGGRESSION IN INTERMITTENT EXPLOSIVE DISORDER

    PubMed Central

    Coccaro, Emil F.; Solis, Oscar; Fanning, Jennifer; Lee, Royce

    2016-01-01

    Emotional Intelligence (EI) relates to one's ability to recognize and understand emotional information and then, to use it for planning and self-management. Given evidence of abnormalities of emotional processing in impulsively aggressive individuals, we hypothesized that EI would be reduced in subjects with Intermittent Explosive Disorder (IED: n = 43) compared with healthy (n = 44) and psychiatric (n = 44) controls. The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) was used to assess both Experiential EI and Strategic EI. Strategic, but not Experiential, EI was lower in IED compared with control subjects. These differences were not accounted for demographic characteristics, cognitive intelligence, or the presence of clinical syndromes or personality disorder. In contrast, the relationship between IED and Strategic EI was fully accounted for by a dimension of hostile cognition defined by hostile attribution and hostile automatic thoughts. Interventions targeted at improving Strategic EI and reducing hostile cognition will be key to reducing aggressive behavior in individuals with IED. PMID:25477263

  2. Emotional intelligence and impulsive aggression in Intermittent Explosive Disorder.

    PubMed

    Coccaro, Emil F; Solis, Oscar; Fanning, Jennifer; Lee, Royce

    2015-02-01

    Emotional intelligence (EI) relates to one's ability to recognize and understand emotional information and then, to use it for planning and self-management. Given evidence of abnormalities of emotional processing in impulsively aggressive individuals, we hypothesized that EI would be reduced in subjects with Intermittent Explosive Disorder (IED: n = 43) compared with healthy (n = 44) and psychiatric (n = 44) controls. The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) was used to assess both Experiential EI and Strategic EI. Strategic, but not Experiential, EI was lower in IED compared with control subjects. These differences were not accounted for demographic characteristics, cognitive intelligence, or the presence of clinical syndromes or personality disorder. In contrast, the relationship between IED and Strategic EI was fully accounted for by a dimension of hostile cognition defined by hostile attribution and hostile automatic thoughts. Interventions targeted at improving Strategic EI and reducing hostile cognition will be key to reducing aggressive behavior in individuals with IED. PMID:25477263

  3. Implementing the Clinical Supervision Process in Special Education.

    ERIC Educational Resources Information Center

    DelVal, Patricia B.; Griffin, Carol Lee

    1987-01-01

    The Clinical Supervision Program for Evaluation, implemented by the Department of Special Education in Quincy (Massachusetts) Public Schools, uses a management-by-objectives approach to measure teaching performance. Discussed are its historical development, philosophy, and procedural sequence. The roles of supervisors and examples of staff member…

  4. Speech Intelligibility

    NASA Astrophysics Data System (ADS)

    Brand, Thomas

    Speech intelligibility (SI) is important for different fields of research, engineering and diagnostics in order to quantify very different phenomena like the quality of recordings, communication and playback devices, the reverberation of auditoria, characteristics of hearing impairment, benefit using hearing aids or combinations of these things.

  5. Intelligence Studies

    ERIC Educational Resources Information Center

    Monaghan, Peter

    2009-01-01

    To make an academic study of matters inherently secret and potentially explosive seems a tall task. But a growing number of scholars are drawn to understanding spycraft. The interdisciplinary field of intelligence studies is mushrooming, as scholars trained in history, international studies, and political science examine such subjects as the…

  6. Genetic and Environmental Influences on Two Measures of Speed of Information Processing and Their Relation to Psychometric Intelligence: Evidence from the German Observational Study of Adult Twins.

    ERIC Educational Resources Information Center

    Neubauer, Alioscha C.; Spinath, Frank M.; Riemann, Rainer; Angleitner, Alois; Borkenau, Peter

    2000-01-01

    Administered 2 elementary cognitive task (ECT) tests and 2 psychometric intelligence tests to 169 monozygotic and 131 dizygotic pairs of twins in Germany. Reaction times correlated negatively with psychometric intelligence, and habitability estimates were substantial for both psychometric intelligence and reaction times on the ECTs. Multivariate…

  7. Experience with the Implementation of Clinical Pharmacy Services and Processes in a University Hospital in Belgium.

    PubMed

    Somers, Annemie; Claus, Barbara; Vandewoude, Koen; Petrovic, Mirko

    2016-03-01

    This article summarizes the experience with the development of clinical pharmacy services in the Ghent University Hospital in Belgium. Implementation of clinical pharmacy services in Belgian hospitals has not been evident because these activities were initially not structurally financed. The aim is to describe the strengths and weaknesses of the clinical pharmacy development process, and the milestones that enhanced the progress. Furthermore, the organisation of clinical pharmacy in the Ghent University Hospital is explained, including back- and front-office activities, seamless pharmaceutical care and medication safety improvement. Some working methods, procedures and tools are explained for different clinical pharmacy services. In particular, the clinical pharmacy projects for geriatric patients as well as the preparation of clinical pharmacy services for the accreditation process are explained. We also reflect on the organisation model and the future development of clinical pharmacy, taking into consideration facilitators and potential barriers. PMID:26922733

  8. Clinical engineering and risk management in healthcare technological process using architecture framework.

    PubMed

    Signori, Marcos R; Garcia, Renato

    2010-01-01

    This paper presents a model that aids the Clinical Engineering to deal with Risk Management in the Healthcare Technological Process. The healthcare technological setting is complex and supported by three basics entities: infrastructure (IS), healthcare technology (HT), and human resource (HR). Was used an Enterprise Architecture - MODAF (Ministry of Defence Architecture Framework) - to model this process for risk management. Thus, was created a new model to contribute to the risk management in the HT process, through the Clinical Engineering viewpoint. This architecture model can support and improve the decision making process of the Clinical Engineering to the Risk Management in the Healthcare Technological process. PMID:21096536

  9. A descriptive study of a clinical evaluation tool and process: student and faculty perspectives.

    PubMed

    Krautscheid, Lorretta; Moceri, Joane; Stragnell, Susan; Manthey, Lisa; Neal, Thea

    2014-03-01

    Clinical evaluation tools are designed to assess nursing students' knowledge, skills, and attitudes related to program and course outcomes and professional nursing standards. Students, faculty, administrators, and the public rely on the effectiveness of the tool and process to determine progression within the curriculum and validate competency. In May 2012, a revised clinical evaluation tool was implemented in a baccalaureate nursing program. This study was undertaken to evaluate the revised clinical evaluation tool by exploring the perspectives of students and faculty who use the tool and engage in the evaluation process. Findings revealed the tool was user friendly and instructions were clear, with sufficient grading criteria to determine clinical competency. Findings also revealed areas for improvement in the evaluation process, including orientation to the tool, connecting program outcomes to clinical performance, and meaningful participation in evaluation. Recommendations are made for improving the clinical evaluation process. PMID:24512331

  10. Integrating Clinical Experiences in a TESOL Teacher Education Program: Curriculum Mapping as Process

    ERIC Educational Resources Information Center

    Baecher, Laura

    2012-01-01

    Across all certification areas, teacher education is being challenged to better integrate clinical experiences with coursework. This article describes the process of curriculum mapping and its impact on the organization of clinical experiences in a master's TESOL program over a 1-year redesign process. Although curriculum mapping has been…

  11. Intelligent Integrated System Health Management

    NASA Technical Reports Server (NTRS)

    Figueroa, Fernando

    2012-01-01

    Intelligent Integrated System Health Management (ISHM) is the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system (Management: storage, distribution, sharing, maintenance, processing, reasoning, and presentation). Presentation discusses: (1) ISHM Capability Development. (1a) ISHM Knowledge Model. (1b) Standards for ISHM Implementation. (1c) ISHM Domain Models (ISHM-DM's). (1d) Intelligent Sensors and Components. (2) ISHM in Systems Design, Engineering, and Integration. (3) Intelligent Control for ISHM-Enabled Systems

  12. Evaluation of clinical image processing algorithms used in digital mammography.

    PubMed

    Zanca, Federica; Jacobs, Jurgen; Van Ongeval, Chantal; Claus, Filip; Celis, Valerie; Geniets, Catherine; Provost, Veerle; Pauwels, Herman; Marchal, Guy; Bosmans, Hilde

    2009-03-01

    Screening is the only proven approach to reduce the mortality of breast cancer, but significant numbers of breast cancers remain undetected even when all quality assurance guidelines are implemented. With the increasing adoption of digital mammography systems, image processing may be a key factor in the imaging chain. Although to our knowledge statistically significant effects of manufacturer-recommended image processings have not been previously demonstrated, the subjective experience of our radiologists, that the apparent image quality can vary considerably between different algorithms, motivated this study. This article addresses the impact of five such algorithms on the detection of clusters of microcalcifications. A database of unprocessed (raw) images of 200 normal digital mammograms, acquired with the Siemens Novation DR, was collected retrospectively. Realistic simulated microcalcification clusters were inserted in half of the unprocessed images. All unprocessed images were subsequently processed with five manufacturer-recommended image processing algorithms (Agfa Musica 1, IMS Raffaello Mammo 1.2, Sectra Mamea AB Sigmoid, Siemens OPVIEW v2, and Siemens OPVIEW v1). Four breast imaging radiologists were asked to locate and score the clusters in each image on a five point rating scale. The free-response data were analyzed by the jackknife free-response receiver operating characteristic (JAFROC) method and, for comparison, also with the receiver operating characteristic (ROC) method. JAFROC analysis revealed highly significant differences between the image processings (F = 8.51, p < 0.0001), suggesting that image processing strongly impacts the detectability of clusters. Siemens OPVIEW2 and Siemens OPVIEW1 yielded the highest and lowest performances, respectively. ROC analysis of the data also revealed significant differences between the processing but at lower significance (F = 3.47, p = 0.0305) than JAFROC. Both statistical analysis methods revealed that the

  13. Artificial Intelligence.

    PubMed

    Lawrence, David R; Palacios-González, César; Harris, John

    2016-04-01

    It seems natural to think that the same prudential and ethical reasons for mutual respect and tolerance that one has vis-à-vis other human persons would hold toward newly encountered paradigmatic but nonhuman biological persons. One also tends to think that they would have similar reasons for treating we humans as creatures that count morally in our own right. This line of thought transcends biological boundaries-namely, with regard to artificially (super)intelligent persons-but is this a safe assumption? The issue concerns ultimate moral significance: the significance possessed by human persons, persons from other planets, and hypothetical nonorganic persons in the form of artificial intelligence (AI). This article investigates why our possible relations to AI persons could be more complicated than they first might appear, given that they might possess a radically different nature to us, to the point that civilized or peaceful coexistence in a determinate geographical space could be impossible to achieve. PMID:26957450

  14. Intelligence: Knowns and Unknowns.

    ERIC Educational Resources Information Center

    Neisser, Ulric; And Others

    1996-01-01

    As a response to recent public debate about the nature of intelligence, this article reviews the "state of the art" in the study of intelligence, exploring significant conceptualizations of intelligence, the use and interpretation of intelligence tests, racial or ethnic differences in intelligence, and major issues yet to be resolved. (SLD)

  15. A Measure of Real-Time Intelligence

    NASA Astrophysics Data System (ADS)

    Gavane, Vaibhav

    2013-03-01

    We propose a new measure of intelligence for general reinforcement learning agents, based on the notion that an agent's environment can change at any step of execution of the agent. That is, an agent is considered to be interacting with its environment in real-time. In this sense, the resulting intelligence measure is more general than the universal intelligence measure (Legg and Hutter, 2007) and the anytime universal intelligence test (Hernández-Orallo and Dowe, 2010). A major advantage of the measure is that an agent's computational complexity is factored into the measure in a natural manner. We show that there exist agents with intelligence arbitrarily close to the theoretical maximum, and that the intelligence of agents depends on their parallel processing capability. We thus believe that the measure can provide a better evaluation of agents and guidance for building practical agents with high intelligence.

  16. Genetical background of intelligence.

    PubMed

    Junkiert-Czarnecka, Anna; Haus, Olga

    2016-01-01

    Intelligence as an ability to reason, think abstractly and adapt effectively to the environment is a subject of research in the field of psychology, neurobiology, and in the last twenty years genetics as well. Genetical testing of twins carried out from XX century indicated heritebility of intelligence, therefore confirmed an influence of genetic factor on cognitive processes. Studies on genetic background of intelligence focus on dopaminergic (DRD2, DRD4, COMT, SLC6A3, DAT1, CCKAR) and adrenergic system (ADRB2, CHRM2) genes as well as, neutrofins (BDNF) and oxidative stress genes (LTF, PRNP). Positive effect of investigated gene polymorphism was indicated by variation c.957C>T DRD2 gene (if in polymorphic site is thymine), polymorphism c.472G>A COMT gene (presence of adenine) and also gene ADRB2 c.46A->G (guanine), CHRM2 (thymine in place c.1890A>T) and BDNF (guanine in place c.472G>A) Obtained results indicate that intelligence is a feature dependent not only on genetic but also an environmental factor. PMID:27333929

  17. Facilitating Comprehension and Processing of Language in Classroom and Clinic.

    ERIC Educational Resources Information Center

    Lasky, Elaine Z.

    A speech/language remediation-intervention model is proposed to enhance processing of auditory information in students with language or learning disabilities. Such children have difficulty attending to language signals (verbal and nonverbal responses ranging from facial expressions and gestures to those requiring the generation of complex…

  18. Neuronal factors determining high intelligence.

    PubMed

    Dicke, Ursula; Roth, Gerhard

    2016-01-01

    Many attempts have been made to correlate degrees of both animal and human intelligence with brain properties. With respect to mammals, a much-discussed trait concerns absolute and relative brain size, either uncorrected or corrected for body size. However, the correlation of both with degrees of intelligence yields large inconsistencies, because although they are regarded as the most intelligent mammals, monkeys and apes, including humans, have neither the absolutely nor the relatively largest brains. The best fit between brain traits and degrees of intelligence among mammals is reached by a combination of the number of cortical neurons, neuron packing density, interneuronal distance and axonal conduction velocity--factors that determine general information processing capacity (IPC), as reflected by general intelligence. The highest IPC is found in humans, followed by the great apes, Old World and New World monkeys. The IPC of cetaceans and elephants is much lower because of a thin cortex, low neuron packing density and low axonal conduction velocity. By contrast, corvid and psittacid birds have very small and densely packed pallial neurons and relatively many neurons, which, despite very small brain volumes, might explain their high intelligence. The evolution of a syntactical and grammatical language in humans most probably has served as an additional intelligence amplifier, which may have happened in songbirds and psittacids in a convergent manner. PMID:26598734

  19. Intelligent Design and Intelligent Failure

    NASA Technical Reports Server (NTRS)

    Jerman, Gregory

    2015-01-01

    Good Evening, my name is Greg Jerman and for nearly a quarter century I have been performing failure analysis on NASA's aerospace hardware. During that time I had the distinct privilege of keeping the Space Shuttle flying for two thirds of its history. I have analyzed a wide variety of failed hardware from simple electrical cables to cryogenic fuel tanks to high temperature turbine blades. During this time I have found that for all the time we spend intelligently designing things, we need to be equally intelligent about understanding why things fail. The NASA Flight Director for Apollo 13, Gene Kranz, is best known for the expression "Failure is not an option." However, NASA history is filled with failures both large and small, so it might be more accurate to say failure is inevitable. It is how we react and learn from our failures that makes the difference.

  20. Intentional Modelling: A Process for Clinical Leadership Development in Mental Health Nursing.

    PubMed

    Ennis, Gary; Happell, Brenda; Reid-Searl, Kerry

    2016-05-01

    Clinical leadership is becoming more relevant for nurses, as the positive impact that it can have on the quality of care and outcomes for consumers is better understood and more clearly articulated in the literature. As clinical leadership continues to become more relevant, the need to gain an understanding of how clinical leaders in nursing develop will become increasingly important. While the attributes associated with effective clinical leadership are recognized in current literature there remains a paucity of research on how clinical leaders develop these attributes. This study utilized a grounded theory methodology to generate new insights into the experiences of peer identified clinical leaders in mental health nursing and the process of developing clinical leadership skills. Participants in this study were nurses working in a mental health setting who were identified as clinical leaders by their peers as opposed to identifying them by their role or organizational position. A process of intentional modeling emerged as the substantive theory identified in this study. Intentional modeling was described by participants in this study as a process that enabled them to purposefully identify models that assisted them in developing the characteristics of effective clinical leaders as well as allowing them to model these characteristics to others. Reflection on practice is an important contributor to intentional modelling. Intentional modelling could be developed as a framework for promoting knowledge and skill development in the area of clinical leadership. PMID:27105347

  1. An Intelligent Tutoring System.

    ERIC Educational Resources Information Center

    Corbett, Albert

    1988-01-01

    Discusses a research project that uses artificial intelligence techniques to help teach programing. Describes principles and implementation of the LISP Intelligent Tutoring System (LISPITS). Explains how the artificial intelligence technique was developed and possible future research. (MVL)

  2. The Modification of Intelligence.

    ERIC Educational Resources Information Center

    Pinillos, Jose Luis

    1982-01-01

    Reviews the arguments supporting and opposing the idea that human intelligence can be improved. Research on the hereditary and environmental determinants of intelligence is examined. Problems in defining and measuring intelligence are discussed. (AM)

  3. Physical Intelligent Sensors

    NASA Technical Reports Server (NTRS)

    Bandhil, Pavan; Chitikeshi, Sanjeevi; Mahajan, Ajay; Figueroa, Fernando

    2005-01-01

    This paper proposes the development of intelligent sensors as part of an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA s Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Integrated Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS). The PIS discussed here consists of a thermocouple used to read temperature in an analog form which is then converted into digital values. A microprocessor collects the sensor readings and runs numerous embedded event detection routines on the collected data and if any event is detected, it is reported, stored and sent to a remote system through an Ethernet connection. Hence the output of the PIS is data coupled with confidence factor in the reliability of the data which leads to information on the health of the sensor at all times. All protocols are consistent with IEEE 1451.X standards. This work lays the foundation for the next generation of smart devices that have embedded intelligence for distributed decision making capabilities.

  4. Implementing and sustaining transformational change in health care: lessons learnt about clinical process redesign.

    PubMed

    McGrath, Katherine M; Bennett, Denise M; Ben-Tovim, David I; Boyages, Steven C; Lyons, Nigel J; O'Connell, Tony J

    2008-03-17

    *Clinical process redesign has enabled significant improvements in the delivery of health care services in emergency departments and elective surgery programs in New South Wales and at Flinders Medical Centre in South Australia, with tangible benefits for patients and staff. *The principles used in clinical process redesign are not new; they have been applied in other industries with significant gains for many years, but have only recently been introduced into health care systems. *Through experience with clinical process redesign, we have learnt much about the factors critical to the success of implementing and sustaining this process in the health care setting. *The key elements for success are leadership by senior executives, clinical leadership, team-based problem solving, a focus on the patient journey, access to data, ambitious targets, strong performance management, and a process for maintaining improvement. PMID:18341474

  5. The role of the clinical trial nurse in the informed consent process.

    PubMed

    Cantini, Franca; Ells, Carolyn

    2007-06-01

    The purpose of this descriptive study was to elicit information about the current practice of clinical trial nurses in the informed consent process. A 50-item self-administered anonymous questionnaire was completed by a sample of 95 nurses from hospitals affiliated with McGill University in Montreal, Quebec, Canada, who were members of a clinical trial research team whose principal investigator was a physician and whose research participants were competent adults. The nurses were all members of the provincial nurses' association. Clinical trial nurses were found to have an important role in the informed consent process and to experience conflict of interest and other ethical dilemmas as members of clinical trial research teams. There is a need to develop specific practical and ethical guidelines for nurses involved with clinical trial research and to develop educational programs for nurses working in clinical research. PMID:17679589

  6. CONTROLAB: integration of intelligent systems for speech recognition, image processing, and trajectory control with obstacle avoidance aiming at robotics applications

    NASA Astrophysics Data System (ADS)

    Aude, Eliana P. L.; Silveira, Julio T. C.; Silva, Fabricio A. B.; Martins, Mario F.; Serdeira, Henrique; Lopes, Emerson P.

    1997-12-01

    CONTROLAB is an environment which integrates intelligent systems and control algorithms aiming at applications in the area of robotics. Within CONTROLAB, two neural network architectures based on the backpropagation and the recursive models are proposed for the implementation of a robust speaker-independent word recognition system. The robustness of the system using the backpropagation network has been largely verified through use by children and adults in totally uncontrolled environments such as large public halls for the exhibition of new technology products. Experimental results with the recursive network show that it is able to overcome the backpropagation network major drawback, the frequent generation of false alarms. In addition, within CONTROLAB, the trajectory to be followed by a robot arm under self-tuning control is determined by a system which uses either VGRAPH or PFIELD algorithms to avoid obstacles detected by the computer vision system. The performance of the second algorithm is greatly improved when it is applied under the control of a rule-based system. An application in which a SCARA robot arm is commanded by voice to pick up a specific tool placed on a table among other tools and obstacles is currently running. This application is used to evaluate the performance of each sub-system within CONTROLAB.

  7. Emotional Intelligence and Medical Professionalism

    ERIC Educational Resources Information Center

    Zayapragassarazan, Z.; Kumar, Santosh

    2011-01-01

    Studies have shown that IQ alone does not contribute to the professional success of medical professionals. Professionals who are trained to be clinically competent, but have inadequate social skills for practice have proved to be less successful in their profession. Emotional intelligence (EI), which has already proved to be a key attribute for…

  8. Advanced Clinical Interpretation of the WAIS-IV and WMS-IV: Prevalence of Low Scores Varies by Level of Intelligence and Years of Education

    ERIC Educational Resources Information Center

    Brooks, Brian L.; Holdnack, James A.; Iverson, Grant L.

    2011-01-01

    Clinicians can use the base rates of low scores in healthy people to reduce the likelihood of misdiagnosing cognitive impairment. In the present study, base rates were developed for the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Memory Scale-Fourth Edition (WMS-IV) using 900 healthy adults and validated on 28 patients…

  9. System for intelligent teleoperation research

    SciTech Connect

    Orlando, N.E.

    1983-10-25

    The Automation Technology Branch of NASA Langley Research Center is developing a research capability in the field of artificial intelligence, particularly as applicable in teleoperator/robotics development for remote space operations. As a testbed for experimentation in these areas, a system concept has been developed and is being implemented. This system, termed DAISIE (Distributed Artificially Intelligent System for Interacting with the Environment), interfaces the key processes of perception, reasoning, and manipulation by linking hardware sensors and manipulators to a modular artificial intelligence (AI) software system in a hierarchical control structure. Verification experiments have been performed: one experiment used a blocksworld database and planner embedded in the DAISIE system to intelligently manipulate a simple physical environment; the other experiment implemented a joint-space collision avoidance algorithm. Continued system development is planned.

  10. Clinical evaluation of spermatogenic activity of processed Shilajit in oligospermia.

    PubMed

    Biswas, T K; Pandit, S; Mondal, S; Biswas, S K; Jana, U; Ghosh, T; Tripathi, P C; Debnath, P K; Auddy, R G; Auddy, B

    2010-02-01

    The safety and spermatogenic activity of processed Shilajit (PS) were evaluated in oligospermic patients. Initially, 60 infertile male patients were assessed and those having total sperm counts below 20 million ml(-1) semen were considered oligospermic and enrolled in the study (n = 35). PS capsule (100 mg) was administered twice daily after major meals for 90 days. Total semenogram and serum testosterone, luteinising hormone and follicle-stimulating hormone were estimated before and at the end of the treatment. Malondialdehyde (MDA), a marker for oxidative stress, content of semen and biochemical parameters for safety were also evaluated. Twenty-eight patients who completed the treatment showed significant (P < 0.001) improvement in spermia (+37.6%), total sperm count (+61.4%), motility (12.4-17.4% after different time intervals), normal sperm count (+18.9%) with concomitant decrease in pus and epithelial cell count compared with baseline value. Significant decrease of semen MDA content (-18.7%) was observed. Moreover, serum testosterone (+23.5%; P < 0.001) and FSH (+9.4%; P < 0.05) levels significantly increased. HPLC chromatogram revealed inclusion of PS constituents in semen. Unaltered hepatic and renal profiles of patients indicated that PS was safe at the given dose. The present findings provide further evidence of the spermatogenic nature of Shilajit, as attributed in Ayurvedic medicine, particularly when administered as PS. PMID:20078516

  11. Connecting Stuttering Management and Measurement: I. Core Speech Measures of Clinical Process and Outcome

    ERIC Educational Resources Information Center

    Shenker, Rosalee C.

    2006-01-01

    Background: There will always be a place for stuttering treatments designed to eliminate or reduce stuttered speech. When those treatments are required, direct speech measures of treatment process and outcome are needed in clinical practice. Aims: Based on the contents of published clinical trials of such treatments, three "core" measures of…

  12. A Primer for Problem Solving Using Artificial Intelligence.

    ERIC Educational Resources Information Center

    Schell, George P.

    1988-01-01

    Reviews the development of artificial intelligence systems and the mechanisms used, including knowledge representation, programing languages, and problem processing systems. Eleven books and 6 journals are listed as sources of information on artificial intelligence. (23 references) (CLB)

  13. Intelligent process development of foam molding for the Thermal Protection System (TPS) of the space shuttle external tank

    NASA Technical Reports Server (NTRS)

    Bharwani, S. S.; Walls, J. T.; Jackson, M. E.

    1987-01-01

    A knowledge based system to assist process engineers in evaluating the processability and moldability of poly-isocyanurate (PIR) formulations for the thermal protection system of the Space Shuttle external tank (ET) is discussed. The Reaction Injection Molding- Process Development Advisor (RIM-PDA) is a coupled system which takes advantage of both symbolic and numeric processing techniques. This system will aid the process engineer in identifying a startup set of mold schedules and in refining the mold schedules to remedy specific process problems diagnosed by the system.

  14. Negotiating Intelligently

    NASA Astrophysics Data System (ADS)

    Debenham, John; Simoff, Simeon

    The predominant approaches to automating competitive interaction appeal to the central notion of a utility function that represents an agent's preferences. Agent's are then endowed with machinery that enables them to perform actions that are intended to optimise their expected utility. Despite the extent of this work, the deployment of automatic negotiating agents in real world scenarios is rare. We propose that utility functions, or preference orderings, are often not known with certainty; further, the uncertainty that underpins them is typically in a state of flux. We propose that the key to building intelligent negotiating agents is to take an agent's historic observations as primitive, to model that agent's changing uncertainty in that information, and to use that model as the foundation for the agent's reasoning. We describe an agent architecture, with an attendant theory, that is based on that model. In this approach, the utility of contracts, and the trust and reliability of a trading partner are intermediate concepts that an agent may estimate from its information model. This enables us to describe intelligent agents that are not necessarily utility optimisers, that value information as a commodity, and that build relationships with other agents through the trusted exchange of information as well as contracts.

  15. Neurotechnology for intelligence analysts

    NASA Astrophysics Data System (ADS)

    Kruse, Amy A.; Boyd, Karen C.; Schulman, Joshua J.

    2006-05-01

    Geospatial Intelligence Analysts are currently faced with an enormous volume of imagery, only a fraction of which can be processed or reviewed in a timely operational manner. Computer-based target detection efforts have failed to yield the speed, flexibility and accuracy of the human visual system. Rather than focus solely on artificial systems, we hypothesize that the human visual system is still the best target detection apparatus currently in use, and with the addition of neuroscience-based measurement capabilities it can surpass the throughput of the unaided human severalfold. Using electroencephalography (EEG), Thorpe et al1 described a fast signal in the brain associated with the early detection of targets in static imagery using a Rapid Serial Visual Presentation (RSVP) paradigm. This finding suggests that it may be possible to extract target detection signals from complex imagery in real time utilizing non-invasive neurophysiological assessment tools. To transform this phenomenon into a capability for defense applications, the Defense Advanced Research Projects Agency (DARPA) currently is sponsoring an effort titled Neurotechnology for Intelligence Analysts (NIA). The vision of the NIA program is to revolutionize the way that analysts handle intelligence imagery, increasing both the throughput of imagery to the analyst and overall accuracy of the assessments. Successful development of a neurobiologically-based image triage system will enable image analysts to train more effectively and process imagery with greater speed and precision.

  16. Web Intelligence and Artificial Intelligence in Education

    ERIC Educational Resources Information Center

    Devedzic, Vladan

    2004-01-01

    This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

  17. Intelligent Sensors Security

    PubMed Central

    Bialas, Andrzej

    2010-01-01

    The paper is focused on the security issues of sensors provided with processors and software and used for high-risk applications. Common IT related threats may cause serious consequences for sensor system users. To improve their robustness, sensor systems should be developed in a restricted way that would provide them with assurance. One assurance creation methodology is Common Criteria (ISO/IEC 15408) used for IT products and systems. The paper begins with a primer on the Common Criteria, and then a general security model of the intelligent sensor as an IT product is discussed. The paper presents how the security problem of the intelligent sensor is defined and solved. The contribution of the paper is to provide Common Criteria (CC) related security design patterns and to improve the effectiveness of the sensor development process. PMID:22315571

  18. Patterns and Intelligent Systems

    SciTech Connect

    Cordes, Gail A.

    2003-01-15

    The recognition and analysis of evolving patterns provides a unifying concept for studying and implementing intelligent information processing for open feedback control systems within the nuclear industry. Control is considered as influence of a large system to achieve the goals of the human (who might or might not be part of an open feedback loop) and is not limited to operation of a component within a nuclear power plant. The intelligent control system includes open logic and can automatically react to new data in an unprogrammed way. This application of evolving patterns integrates current research developments in human cognition and scientific semiotics with traditional feedback control. A preliminary implementation of such a system using existing computational techniques is postulated, and tools that are lacking at this time are identified. Proof-of-concept applications for the nuclear industry are referenced.

  19. Large-Scale Student Assessment Studies Measure the Results of Processes of Knowledge Acquisition: Evidence in Support of the Distinction between Intelligence and Student Achievement

    ERIC Educational Resources Information Center

    Baumert, Jurgen; Ludtke, Oliver; Trautwein, Ulrich; Brunner, Martin

    2009-01-01

    Given the relatively high intercorrelations observed between mathematics achievement, reading achievement, and cognitive ability, it has recently been claimed that student assessment studies (e.g., TIMSS, PISA) and intelligence tests measure a single cognitive ability that is practically identical to general intelligence. The present article uses…

  20. An independent confirmatory factor analysis of the Wechsler Intelligence Scale for Children-fourth Edition (WISC-IV) integrated: what do the process approach subtests measure?

    PubMed

    Benson, Nicholas; Hulac, David M; Bernstein, Joshua D

    2013-09-01

    The Wechsler intelligence scale for children--fourth edition (WISC-IV) Integrated contains the WISC-IV core and supplemental subtests along with process approach subtests designed to facilitate a process-oriented approach to score interpretation. The purpose of this study was to examine the extent to which WISC-IV Integrated subtests measure the constructs they are purported to measure. In addition to examining the measurement and scoring model provided in the manual, this study also tested hypotheses regarding Cattell-Horn-Carroll abilities that might be measured along with other substantive questions regarding the factor structure of the WISC-IV Integrated and the nature of abilities measured by process approach subtests. Results provide insight regarding the constructs measured by these subtests. Many subtests appear to be good to excellent measures of psychometric g (i.e., the general factor presumed to cause the positive correlation of mental tasks). Other abilities measured by subtests are described. For some subtests, the majority of variance is not accounted for by theoretical constructs included in the scoring model. Modifications made to remove demands such as memory recall and verbal expression were found to reduce construct-irrelevant variance. The WISC-IV Integrated subtests appear to measure similar constructs across ages 6-16, although strict factorial invariance was not supported. PMID:23544403

  1. Activity-based process mining for clinical pathways computer aided design.

    PubMed

    Fernandez-Llatas, Carlos; Meneu, Teresa; Benedi, Jose Miguel; Traver, Vicente

    2010-01-01

    Current trends in health management improvement demand the standardization of care protocols to achieve better quality and efficiency. The use of Clinical Pathways is an emerging solution for that problem. However, current Clinical Pathways are big manuals written in natural language and highly affected by human subjectivity. These problems make the deployment and dissemination of them extremely difficult in real practice environments. In this work, a complete computer based architecture to help the representation and execution of Clinical Pathways is suggested. Furthermore, the difficulties inherent to the design of formal Clinical Pathways in this way requires new specific design tools to help making the system useful. Process Mining techniques can help to automatically infer processes definition from execution samples. Yet, the classical Process Mining paradigm is not totally compatible with the Clinical Pathways paradigm. In this paper, a pattern recognition algorithm based in an evolution of the Process Mining classical paradigm is presented and evaluated as a solution to this situation. The proposed algorithm is able to infer Clinical Pathways from execution logs to support the design of Clinical Pathways. PMID:21097153

  2. Analysis of Existing Guidelines for the Systematic Planning Process of Clinical Registries.

    PubMed

    Löpprich, Martin; Knaup, Petra

    2016-01-01

    Clinical registries are a powerful method to observe the clinical practice and natural disease history. In contrast to clinical trials, where guidelines and standardized methods exist and are mandatory, only a few initiatives have published methodological guidelines for clinical registries. The objective of this paper was to review these guidelines and systematically assess their completeness, usability and feasibility according to a SWOT analysis. The results show that each guideline has its own strengths and weaknesses. While one supports the systematic planning process, the other discusses clinical registries in great detail. However, the feasibility was mostly limited and the special requirements of clinical registries, their flexible, expandable and adaptable technological structure was not addressed consistently. PMID:27577423

  3. Nursing home-acquired pneumonia: outcomes from a clinical process improvement program.

    PubMed

    Dempsey, C L

    1995-01-01

    At EHS Christ Hospital and Medical Center, an eight-step process improvement model was developed that incorporates continuous quality improvement concepts for monitoring, evaluating and improving patient care. Nursing home residents admitted with pneumonia were identified as the group having the most influence on mortality and costs associated with treatment of pneumonia at our hospital. A multidisciplinary team evaluated clinical resource use and patient care processes, and identified root causes of various influencing treatment. Clinical guidelines were created and outcomes were defined, resulting in significant improvement in the clinical management of these patients. Average length of stay decreased from 8.6 days in 1992 to 7.6 days in 1993, with a charge reduction of $1830 per patient. The methodologic framework of a process improvement program combines epidemiologic, clinical, and quality improvement sciences. This mix is essential in improving patient care and quantifying outcomes. PMID:7753691

  4. Culture and intelligence.

    PubMed

    Sternberg, Robert J

    2004-01-01

    Intelligence cannot be fully or even meaningfully understood outside its cultural context. Work that seeks to study intelligence acontextually risks the imposition of an investigator's view of the world on the rest of the world. Moreover, work on intelligence within a single culture mayfail to do justice to the range of skills and knowledge that may constitute intelligence broadly defined and risks drawing false and hasty generalizations. This article considers the relevance of culture to intelligence, as well as its investigation, assessment, and development. Studies that show the importance of understanding intelligence in its cultural context are described; the author concludes that intelligence must be understood in such context. PMID:15511120

  5. Intelligent route surveillance

    NASA Astrophysics Data System (ADS)

    Schoemaker, Robin; Sandbrink, Rody; van Voorthuijsen, Graeme

    2009-05-01

    Intelligence on abnormal and suspicious behaviour along roads in operational domains is extremely valuable for countering the IED (Improvised Explosive Device) threat. Local sensor networks at strategic spots can gather data for continuous monitoring of daily vehicle activity. Unattended intelligent ground sensor networks use simple sensing nodes, e.g. seismic, magnetic, radar, or acoustic, or combinations of these in one housing. The nodes deliver rudimentary data at any time to be processed with software that filters out the required information. At TNO (Netherlands Organisation for Applied Scientific Research) research has started on how to equip a sensor network with data analysis software to determine whether behaviour is suspicious or not. Furthermore, the nodes should be expendable, if necessary, and be small in size such that they are hard to detect by adversaries. The network should be self-configuring and self-sustaining and should be reliable, efficient, and effective during operational tasks - especially route surveillance - as well as robust in time and space. If data from these networks are combined with data from other remote sensing devices (e.g. UAVs (Unmanned Aerial Vehicles)/aerostats), an even more accurate assessment of the tactical situation is possible. This paper shall focus on the concepts of operation towards a working intelligent route surveillance (IRS) research demonstrator network for monitoring suspicious behaviour in IED sensitive domains.

  6. Word Processor Training on Intelligent Videodisc.

    ERIC Educational Resources Information Center

    Yampolsky, Michael

    1983-01-01

    Presents an overview of the Wang Word Processing Intelligent Learning Program on interactive videodisc, which is used at Eastman Kodak to train hundreds of word processing operators. Operation of the program is discussed in detail. (MBR)

  7. Integrating complex business processes for knowledge-driven clinical decision support systems.

    PubMed

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS. PMID:23366138

  8. PV Manufacturing R&D Project Status and Accomplishments under 'In-Line Diagnostics and Intelligent Processing' and 'Yield, Durability and Reliability': Preprint

    SciTech Connect

    Friedman, D. J.; Mitchell, R. L.; Keyes, B. M.; Bower, W. I.; King, R.; Mazer, J.

    2006-05-01

    The PV Manufacturing R&D (PVMR&D) Project conducts cost-shared research and development programs with U.S. PV industry partners. There are currently two active industry partnership activities. ''In-line Diagnostics and Intelligent Processing'', launched in 2002, supports development of new in-line diagnostics and monitoring with real-time feedback for optimal process control and increased yield in the fabrication of PV modules, systems, and other system components. ''Yield, Durability and Reliability'', launched in late 2004, supports enhancement of PV module, system component, and complete system reliability in high-volume manufacturing. A second key undertaking of the PVMR&D Project is the collection and analysis of module production cost-capacity metrics for the U.S. PV industry. In the period from 1992 through 2005, the average module manufacturing cost in 2005 dollars fell 54% (5.7% annualized) to $2.74/Wp, and the capacity increased 18.6-fold (25% annualized) to 253 MW/yr. An experience curve analysis gives progress ratios of 87% and 81%, respectively, for U.S. silicon and thin-film module production.

  9. An analysis of clinical reasoning through a recent and comprehensive approach: the dual-process theory

    PubMed Central

    Pelaccia, Thierry; Tardif, Jacques; Triby, Emmanuel; Charlin, Bernard

    2011-01-01

    Context Clinical reasoning plays a major role in the ability of doctors to make diagnoses and decisions. It is considered as the physician's most critical competence, and has been widely studied by physicians, educationalists, psychologists and sociologists. Since the 1970s, many theories about clinical reasoning in medicine have been put forward. Purpose This paper aims at exploring a comprehensive approach: the “dual-process theory”, a model developed by cognitive psychologists over the last few years. Discussion After 40 years of sometimes contradictory studies on clinical reasoning, the dual-process theory gives us many answers on how doctors think while making diagnoses and decisions. It highlights the importance of physicians’ intuition and the high level of interaction between analytical and non-analytical processes. However, it has not received much attention in the medical education literature. The implications of dual-process models of reasoning in terms of medical education will be discussed. PMID:21430797

  10. Intelligence May Moderate the Cognitive Profile of Patients with ASD

    PubMed Central

    Rommelse, Nanda; Langerak, Ilse; van der Meer, Jolanda; de Bruijn, Yvette; Staal, Wouter; Oerlemans, Anoek; Buitelaar, Jan

    2015-01-01

    Background The intelligence of individuals with Autism Spectrum Disorder (ASD) varies considerably. The pattern of cognitive deficits associated with ASD may differ depending on intelligence. We aimed to study the absolute and relative severity of cognitive deficits in participants with ASD in relation to IQ. Methods A total of 274 children (M age = 12.1, 68.6% boys) participated: 30 ASD and 22 controls in the below average Intelligence Quotient (IQ) group (IQ<85), 57 ASD and 54 controls in the average IQ group (85115). Matching for age, sex, Full Scale IQ (FSIQ), Verbal IQ (VIQ), Performance IQ (PIQ) and VIQ-PIQ difference was performed. Speed and accuracy of social cognition, executive functioning, visual pattern recognition and basic processing speed were examined per domain and as a composite score. Results The composite score revealed a trend significant IQ by ASD interaction (significant when excluding the average IQ group). In absolute terms, participants with below average IQs performed poorest (regardless of diagnosis). However, in relative terms, above average intelligent participants with ASD showed the most substantial cognitive problems (particularly for social cognition, visual pattern recognition and verbal working memory) since this group differed significantly from the IQ-matched control group (p < .001), whereas this was not the case for below-average intelligence participants with ASD (p = .57). Conclusions In relative terms, cognitive deficits appear somewhat more severe in individuals with ASD and above average IQs compared to the below average IQ patients with ASD. Even though high IQ ASD individuals enjoy a certain protection from their higher IQ, they clearly demonstrate cognitive impairments that may be targeted in clinical assessment and treatment. Conversely, even though in absolute terms ASD patients with below average IQs were clearly more impaired than ASD patients

  11. EduTutor: An Intelligent Tutor System for a Learning Management System

    ERIC Educational Resources Information Center

    Rodrigues, Joel J. P. C.; Joao, Pedro F. N.; Vaidya, Binod

    2010-01-01

    Intelligent tutoring systems are any computer systems encompassing interactive applications with some intelligence that support and facilitate the teaching-learning process. The intelligence of these systems is the ability to adapt to each student throughout his/her learning process. This paper presents an intelligent tutoring system, called…

  12. Components of Verbal Intelligence. Final Report.

    ERIC Educational Resources Information Center

    Sternberg, Robert J.

    A theory of the components of verbal intelligence is developed and tested in this series of experiments. After reviewing alternative theoretical frameworks for understanding verbal intelligence, a componential theory of verbal comprehension is proposed. This theory specifies the information-processing components, context cues, and mediating…

  13. Multiple Intelligences: Its Tensions and Possibilities

    ERIC Educational Resources Information Center

    Eisner, Elliot W.

    2004-01-01

    This article explores the tensions between Howard Gardner's theory of multiple intelligences and current educational policies emphasizing standardized and predictable outcomes. The article situates Gardner's theory within the historical interests among psychometricians in identifying those core processes that constitute human intelligence.…

  14. Integrating Learning Styles and Multiple Intelligences.

    ERIC Educational Resources Information Center

    Silver, Harvey; Strong, Richard; Perini, Matthew

    1997-01-01

    Multiple-intelligences theory (MI) explores how cultures and disciplines shape human potential. Both MI and learning-style theories reject dominant ideologies of intelligence. Whereas learning styles are concerned with differences in the learning process, MI centers on learning content and products. Blending learning styles and MI theories via…

  15. Psychometric Intelligence Dissociates Implicit and Explicit Learning

    ERIC Educational Resources Information Center

    Gebauer, Guido F.; Mackintosh, Nicholas J.

    2007-01-01

    The hypothesis that performance on implicit learning tasks is unrelated to psychometric intelligence was examined in a sample of 605 German pupils. Performance in artificial grammar learning, process control, and serial learning did not correlate with various measures of intelligence when participants were given standard implicit instructions.…

  16. Essential processes for cognitive behavioral clinical supervision: Agenda setting, problem-solving, and formative feedback.

    PubMed

    Cummings, Jorden A; Ballantyne, Elena C; Scallion, Laura M

    2015-06-01

    Clinical supervision should be a proactive and considered endeavor, not a reactive one. To that end, supervisors should choose supervision processes that are driven by theory, best available research, and clinical experience. These processes should be aimed at helping trainees develop as clinicians. We highlight 3 supervision processes we believe should be used at each supervision meeting: agenda setting, encouraging trainee problem-solving, and formative feedback. Although these are primarily cognitive-behavioral skills, they can be helpful in combination with other supervision models. We provide example dialogue from supervision exchanges, and discuss theoretical and research support for these processes. Using these processes not only encourages trainee development but also models for them how to use the same processes and approaches with clients. PMID:25895121

  17. Developing clinical practice guidelines in HIV rehabilitation: process recommendations and guiding principles.

    PubMed

    O'Brien, Kelly K; Wilkins, Annette; Zack, Elisse; Solomon, Patricia

    2011-10-01

    Our purpose was to develop process recommendations and guiding principles for future clinical practice guidelines in HIV rehabilitation. We conducted a scoping study that included focus group and interview consultations with 28 participants including people living with HIV, researchers, clinicians, educators, and policy stakeholders with expertise in HIV and rehabilitation. We used qualitative content analysis techniques to identify emergent themes related to the development of clinical practice guidelines. Results included seven recommendations for the process of developing clinical practice guidelines in HIV rehabilitation that spanned areas of flexibility, scope, adopting existing evidence from concurrent health conditions, format, interprofessional approach to development and implementation, terminology, and knowledge translation. Three guiding principles emerged to inform the philosophical approach for guideline development. These findings serve as a foundation for the development of clinical practice guidelines in HIV rehabilitation to enhance the care and treatment of people living with HIV. PMID:22010809

  18. A self-teaching image processing and voice-recognition-based, intelligent and interactive system to educate visually impaired children

    NASA Astrophysics Data System (ADS)

    Iqbal, Asim; Farooq, Umar; Mahmood, Hassan; Asad, Muhammad Usman; Khan, Akrama; Atiq, Hafiz Muhammad

    2010-02-01

    A self teaching image processing and voice recognition based system is developed to educate visually impaired children, chiefly in their primary education. System comprises of a computer, a vision camera, an ear speaker and a microphone. Camera, attached with the computer system is mounted on the ceiling opposite (on the required angle) to the desk on which the book is placed. Sample images and voices in the form of instructions and commands of English, Urdu alphabets, Numeric Digits, Operators and Shapes are already stored in the database. A blind child first reads the embossed character (object) with the help of fingers than he speaks the answer, name of the character, shape etc into the microphone. With the voice command of a blind child received by the microphone, image is taken by the camera which is processed by MATLAB® program developed with the help of Image Acquisition and Image processing toolbox and generates a response or required set of instructions to child via ear speaker, resulting in self education of a visually impaired child. Speech recognition program is also developed in MATLAB® with the help of Data Acquisition and Signal Processing toolbox which records and process the command of the blind child.

  19. The role of emotions in clinical reasoning and decision making.

    PubMed

    Marcum, James A

    2013-10-01

    What role, if any, should emotions play in clinical reasoning and decision making? Traditionally, emotions have been excluded from clinical reasoning and decision making, but with recent advances in cognitive neuropsychology they are now considered an important component of them. Today, cognition is thought to be a set of complex processes relying on multiple types of intelligences. The role of mathematical logic (hypothetico-deductive thinking) or verbal linguistic intelligence in cognition, for example, is well documented and accepted; however, the role of emotional intelligence has received less attention-especially because its nature and function are not well understood. In this paper, I argue for the inclusion of emotions in clinical reasoning and decision making. To that end, developments in contemporary cognitive neuropsychology are initially examined and analyzed, followed by a review of the medical literature discussing the role of emotions in clinical practice. Next, a published clinical case is reconstructed and used to illustrate the recognition and regulation of emotions played during a series of clinical consultations, which resulted in a positive medical outcome. The paper's main thesis is that emotions, particularly in terms of emotional intelligence as a practical form of intelligence, afford clinical practitioners a robust cognitive resource for providing quality medical care. PMID:23975905

  20. Morphological study of styloid process of the temporal bone and its clinical implications

    PubMed Central

    Vadgaonkar, Rajanigandha; Prabhu, Latha V.; Rai, Rajalakshmi; Pai, Mangala M.; Tonse, Mamatha; Jiji, P. J.

    2015-01-01

    The objective of this study was to study the morphometry of the styloid process of temporal bone and prevalence of elongated styloid process. The morphology of elongated styloid process along with its embryological and clinical importance are discussed. The present study included 110 human dry skulls which were procured from the bone collections of the department of anatomy. The styloid process was observed macroscopically on both sides of all the skulls, the elongations if any were noted. All the styloids were measured for their length, thickness at different levels and interstyloid distance at various levels. Out of 110 specimens, only 5 skulls (4.5%) exhibited the elongated styloid process. Among them, 3 skulls (2.7%) had unilateral elongation and 2 skulls (1.8%) had bilateral elongation of the styloid process. The mean length of the styloid process was 17.8±9.3 mm and 18.2±5.6 mm for the right and left sides, respectively. The prevalence of elongated styloid process in the present study was 4.5%. The clinical anatomy of this congenital variant is important to the neurosurgeon and radiologist, while interpreting the computed tomogram and magnetic resonance image scans. The morphological knowledge of elongated styloid process is clinically important since the course of the vertebral artery may be distorted in such situations. PMID:26417479

  1. Contextual analysis of fluid intelligence

    PubMed Central

    Salthouse, Timothy A.; Pink, Jeffrey E.; Tucker-Drob, Elliot M.

    2008-01-01

    The nature of fluid intelligence was investigated by identifying variables that were, and were not, significantly related to this construct. Relevant information was obtained from three sources: re-analyses of data from previous studies, a study in which 791 adults performed storage-plus-processing working memory tasks, and a study in which 236 adults performed a variety of working memory, updating, and cognitive control tasks. The results suggest that fluid intelligence represents a broad individual difference dimension contributing to diverse types of controlled or effortful processing. The analyses also revealed that very few of the age-related effects on the target variables were statistically independent of effects on established cognitive abilities, which suggests most of the age-related influences on a wide variety of cognitive control variables overlap with age-related influences on cognitive abilities such as fluid intelligence, episodic memory, and perceptual speed. PMID:19137074

  2. Contextual analysis of fluid intelligence.

    PubMed

    Salthouse, Timothy A; Pink, Jeffrey E; Tucker-Drob, Elliot M

    2008-01-01

    The nature of fluid intelligence was investigated by identifying variables that were, and were not, significantly related to this construct. Relevant information was obtained from three sources: re-analyses of data from previous studies, a study in which 791 adults performed storage-plus-processing working memory tasks, and a study in which 236 adults performed a variety of working memory, updating, and cognitive control tasks. The results suggest that fluid intelligence represents a broad individual difference dimension contributing to diverse types of controlled or effortful processing. The analyses also revealed that very few of the age-related effects on the target variables were statistically independent of effects on established cognitive abilities, which suggests most of the age-related influences on a wide variety of cognitive control variables overlap with age-related influences on cognitive abilities such as fluid intelligence, episodic memory, and perceptual speed. PMID:19137074

  3. Computational aerodynamics and artificial intelligence

    NASA Technical Reports Server (NTRS)

    Kutler, P.; Mehta, U. B.

    1984-01-01

    Some aspects of artificial intelligence are considered and questions are speculated on, including how knowledge-based systems can accelerate the process of acquiring new knowledge in aerodynamics, how computational fluid dynamics may use 'expert' systems and how expert systems may speed the design and development process. The anatomy of an idealized expert system called AERODYNAMICIST is discussed. Resource requirements are examined for using artificial intelligence in computational fluid dynamics and aerodynamics. Considering two of the essentials of computational aerodynamics - reasoniing and calculating - it is believed that a substantial part of the reasoning can be achieved with artificial intelligence, with computers being used as reasoning machines to set the stage for calculating. Expert systems will probably be new assets of institutions involved in aeronautics for various tasks of computational aerodynamics.

  4. Computational aerodynamics and artificial intelligence

    NASA Technical Reports Server (NTRS)

    Mehta, U. B.; Kutler, P.

    1984-01-01

    The general principles of artificial intelligence are reviewed and speculations are made concerning how knowledge based systems can accelerate the process of acquiring new knowledge in aerodynamics, how computational fluid dynamics may use expert systems, and how expert systems may speed the design and development process. In addition, the anatomy of an idealized expert system called AERODYNAMICIST is discussed. Resource requirements for using artificial intelligence in computational fluid dynamics and aerodynamics are examined. Three main conclusions are presented. First, there are two related aspects of computational aerodynamics: reasoning and calculating. Second, a substantial portion of reasoning can be achieved with artificial intelligence. It offers the opportunity of using computers as reasoning machines to set the stage for efficient calculating. Third, expert systems are likely to be new assets of institutions involved in aeronautics for various tasks of computational aerodynamics.

  5. Human Intelligence: An Introduction to Advances in Theory and Research.

    ERIC Educational Resources Information Center

    Lohman, David F.

    1989-01-01

    Recent advances in three research traditions are summarized: trait theories of intelligence, information-processing theories of intelligence, and general theories of thinking. Work on fluid and crystallized abilities by J. Horn and R. Snow, mental speed, spatial visualization, cognitive psychology, artificial intelligence, and the construct of…

  6. The role of object representation in the design of the intelligent radiology workstation.

    PubMed Central

    Macura, K. J.; Macura, R. T.

    1994-01-01

    The paper describes the design of the Intelligent Radiology Workstation (IRW) that is intended to handle heterogeneous radiologic data (text, image, video) and radiologic knowledge in such a way that it is easy to store, access, use, and repurpose. An object-based structure is used to combine the relational database, hybrid knowledge base, and hypermedia within a common framework. Functions such as data entry and retrieval, browsing, and intelligent processing of data are available in the single environment. IRW open architecture allows radiologic digital resources to be used for clinical practice, diagnosis support, education, and research. PMID:7950058

  7. Applicability of the Multiple Intelligence Theory to the Process of Organizing and Planning of Learning and Teaching

    ERIC Educational Resources Information Center

    Acat, M. Bahaddin

    2005-01-01

    It has long been under discussion how the teaching and learning environment should be arranged, how individuals achieve learning, and how teachers can effectively contribute to this process. Accordingly, a considerable number of theories and models have been proposed. Gardner (1983) caused a remarkable shift in the perception of learning theory as…

  8. Malawian secondary students' beliefs about intelligence.

    PubMed

    Jones, Brett D; Rakes, Lee; Landon, Krista

    2013-01-01

    Students who view intelligence as malleable tend to be more academically motivated and perform at higher levels than students who view it as a fixed trait. We examined the beliefs of students from Malawi because the culture and schooling process in this country is very different from some other areas of the world in which students' views of intelligence have already been studied. Our research questions were: (1) How do Malawian students define intelligence? (2) To what extent do Malawian students view intelligence as malleable? (3) Are Malawian students' definitions of intelligence and beliefs about the malleability of intelligence similar to those of students in more developed countries? We conducted a mixed methods study and surveyed 136 students attending a secondary school in Malawi using a 39-item questionnaire. Students responded to questions about their intelligence beliefs on open- and closed-ended items. Our results showed that Malawian students believe that an intelligent student exhibits a variety of behaviors, including studying, working hard, reading, performing well on exams and in class, answering and asking questions, paying attention, and demonstrating good behavior. Most students believe that intelligence is malleable and provided responses that indicated that students can become more intelligent through effort. When compared to the findings of other studies, the present results suggest that the Malawian students who remain in secondary school have definitions of intelligence and beliefs about the malleability of intelligence that are similar to those of students in more developed countries, such as the US and Germany. In fact, it appears that Malawian secondary students have even higher malleable beliefs than American and German students. Finally, some of the measures that have been found to produce scores that are reliable and valid in other populations do not produce scores that are as reliable when used with Malawian students. PMID:22946644

  9. Intelligence support to arms control. Study project

    SciTech Connect

    Grisham, A.E.

    1990-04-09

    This paper argues that intelligence support is critical to the success of arms control. It identifies and describes the roles of intelligence in the arms control process, describes the existing intelligence organizational structure for arms control support, and identifies and analyzes issues. The roles include support to policy formulation, support to treaty negotiation, support to ratification, and finally, during verification, support for the implementation of the treaty through monitoring. The Director of Central Intelligence is responsible for monitoring, while the Arms Control and Disarmament Agency has responsibility for verification. Adjudication of conflicting interpretations occurs within the NSC committee structure. For several reasons, intelligence cannot be expected to do the actual verification of an arms control treaty. Most importantly, determination of an acceptable degree of confidence is always a political issue, although based on military judgement. Assigning intelligence responsibility for monitoring, rather than verification, helps to limit the politicization of intelligence. Issues identified during the research for this paper were analyzed within three subgroups: those inherent in the intelligence discipline; these must be managed successfully to limit adverse impact on intelligence products. Second, issues and challenges inherent in arms control bureaucratic relationships; these are best managed by keeping separate the actual monitoring analysis and verification this gives the West justification for caution, and reinforces the need for continued emphasis on verification.

  10. Communication, Listening, Cognitive and Speech Perception Skills in Children with Auditory Processing Disorder (APD) or Specific Language Impairment (SLI)

    ERIC Educational Resources Information Center

    Ferguson, Melanie A.; Hall, Rebecca L.; Riley, Alison; Moore, David R.

    2011-01-01

    Purpose: Parental reports of communication, listening, and behavior in children receiving a clinical diagnosis of specific language impairment (SLI) or auditory processing disorder (APD) were compared with direct tests of intelligence, memory, language, phonology, literacy, and speech intelligibility. The primary aim was to identify whether there…

  11. Artificial intelligence and simulation

    SciTech Connect

    Holmes, W.M.

    1985-01-01

    The research and development of AI are discussed. Papers are presented on an expert system for chemical process control, an ocean surveillance information fusion expert system, a distributed intelligence system and aircraft pilotage, a procedure for speeding innovation by transferring scientific knowledge more quickly, and syntax programming, expert systems, and real-time fault diagnosis. Consideration is given to an expert system for modeling NASA flight control room usage, simulating aphasia, a method for single neuron recognition of letters, numbers, faces, and certain types of concepts, integrating AI and control system approach, testing an expert system for manufacturing, and the human memory.

  12. [Clinical-pharmacological aspects to accelerate the development process from the preclinical to the clinical phase/1st communication: The contribution of clinical pharmacology].

    PubMed

    Kuhlmann, Jochen

    2004-01-01

    of clinical trial patients to select patient groups which are likely to respond to treatment (pharmacogenomics), modelling and simulation of preclinical and clinical trials, integration of pharmacokinetic and pharmacodynamic principles into drug development, assessment of the interaction potential (CYP-450, trasporter proteins and others), increasing use of biomarker/surrogate marker for rapid clinical feedback, involvement of the target population as soon as possible, applying statistical data analysis techniques for proving effectiveness, co-operation with high quality centers. To reach this goal clinical pharmacology must be fully integrated in the whole process from the candidate selection to its positioning within the market. PMID:15212186

  13. Process improvement of pap smear tracking in a women's medicine center clinic in residency training.

    PubMed

    Calhoun, Byron C; Goode, Jeff; Simmons, Kathy

    2011-11-01

    Application of Six-Sigma methodology and Change Acceleration Process (CAP)/Work Out (WO) tools to track pap smear results in an outpatient clinic in a hospital-based residency-training program. Observational study of impact of changes obtained through application of Six-Sigma principles in clinic process with particular attention to prevention of sentinel events. Using cohort analysis and applying Six-Sigma principles to an interactive electronic medical record Soarian workflow engine, we designed a system of timely accession and reporting of pap smear and pathology results. We compared manual processes from January 1, 2007 to February 28, 2008 to automated processes from March 1, 2008 to December 31, 2009. Using the Six-Sigma principles, CAP/WO tools, including "voice of the customer" and team focused approach, no outlier events went untracked. Applying the Soarian workflow engine to track prescribed 7 day turnaround time for completion, we identified 148 pap results in 3,936, 3 non-gynecological results in 15, and 41 surgical results in 246. We applied Six-Sigma principles to an outpatient clinic facilitating an interdisciplinary team approach to improve the clinic's reporting system. Through focused problem assessment, verification of process, and validation of outcomes, we improved patient care for pap smears and critical pathology. PMID:22103702

  14. Educational Programs for Intelligence Professionals.

    ERIC Educational Resources Information Center

    Miller, Jerry P.

    1994-01-01

    Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

  15. Establishing a psychosomatic clinic in a low resource setting: Process, challenges, and opportunities

    PubMed Central

    Menon, Vikas; Sarkar, Siddharth; Thomas, Shijo

    2016-01-01

    Background: Specialty psychosomatic clinics are a felt need in low- and middle-income countries, but its benefits and challenges have not been reported so far. Aims: To describe the process, challenges, and opportunities that we encountered in setting up a specialty psychosomatic clinic at a government medical college in South India. Methods: The biweekly psychosomatic clinic was located in the Department of Psychiatry and manned by a multimodal team. Structured questionnaires were used to evaluate all patients. All psychiatric diagnoses were made as per International Classification of Diseases-10, clinical descriptions and diagnostic guidelines. Management comprised both pharmacotherapy and psychotherapeutic interventions. Results: A total of 72 patients registered for services in the 1st year of the clinic. The mean age of the sample was 36.6 years (range 14–60 years). A median of 2 years and 19 visits to various care providers had elapsed before their visit to the clinic. The index contact was a general practitioner in the majority of cases though an overwhelming majority (95.6%) had also sought specialist care. The most common diagnostic cluster was the somatoform group of disorders (50.0%). Antidepressants were the most commonly prescribed medications (70.6%). Conclusion: The specialty psychosomatic clinic provided better opportunities for a more comprehensive evaluation of people with medically unexplained symptoms and better resident training and focused inter-disciplinary research. It describes a scalable model that can be replicated in similar resource constrained settings. PMID:26933373

  16. Incorporation of a clinical history into the interpretation process in a PACS environment

    NASA Astrophysics Data System (ADS)

    Cooperstein, Lawrence A.; Good, Barbara C.; Miketic, Linda M.; Tabor, Ellen K.; Yousem, Samuel A.; King, Jill L.; Gennari, Rose C.; Felice, Marc A.; Sidorovich, Kathleen

    1990-08-01

    In a large-scale, multi-reader study to investigate questions surrounding the issue of the implementation of picture archiving and communications systems (PACS) into the modern radiology environment, we examined the effect that the incorporation of a clinical history into the reading process would have on levels of diagnostic accuracy. Because we wanted to test the inclusion of the clinical history in an environment as close to that of the clinical situation as possible, we defined "history" to be a concise, objective, and potentially computer-extractable version of what appears in the patient records, including a statement from the referring physician when this is available. In a series of studies, four radiologists interpreted 247 posteroanterior normal and abnormal chest images on conventional film both with and without accompanying patient histories; five radiologists read the same number of images presented on a high-resolution video workstation with and without clinical histories. There were no significant differences (p = .05) in diagnostic accuracy rates with or without clinical history for either the film or the workstation in cases of interstitial disease, nodules, or pneumothorax. Diagnostic accuracy for the radiologists as a group was not affected by the presence of the clinical history. We concluded that for the interpretation of these abnormalities, the incorporation of clinical history with images in the PACS environment should not be a major goal.

  17. Concepts and possibilities in forensic intelligence.

    PubMed

    Bell, Chris

    2006-10-16

    Forensic intelligence can be viewed as comprising two parts, one directly concerning intelligence delivery in forensic casework, the other considering performance aspects of forensic work, loosely termed here as business intelligence. Forensic casework can be viewed as processes that produce an intelligence product useful to police investigations. Traditionally, forensic intelligence production has been confined to discipline-specific activity. This paper examines the concepts, processes and intelligence products delivered in forensic casework, the information repositories available from forensic examinations, and ways to produce within- and across-discipline casework correlations by using information technology to capitalise on the information sets available. Such analysis presents opportunities to improve forensic intelligence services as well as challenges for technical solutions to deliver appropriate data-mining capabilities for available information sets, such as digital photographs. Business intelligence refers primarily to examination of efficiency and effectiveness of forensic service delivery. This paper discusses measures of forensic activity and their relationship to crime outcomes as a measure of forensic effectiveness. PMID:16893621

  18. Intelligent, autonomous systems in space

    NASA Technical Reports Server (NTRS)

    Lum, H.; Heer, E.

    1988-01-01

    The Space Station is expected to be equipped with intelligent, autonomous capabilities; to achieve and incorporate these capabilities, the required technologies need to be identitifed, developed and validated within realistic application scenarios. The critical technologies for the development of intelligent, autonomous systems are discussed in the context of a generalized functional architecture. The present state of this technology implies that it be introduced and applied in an evolutionary process which must start during the Space Station design phase. An approach is proposed to accomplish design information acquisition and management for knowledge-base development.

  19. Contextual Analysis of Fluid Intelligence

    ERIC Educational Resources Information Center

    Salthouse, Timothy A.; Pink, Jeffrey E.; Tucker-Drob, Elliot M.

    2008-01-01

    The nature of fluid intelligence was investigated by identifying variables that were, and were not, significantly related to this construct. Relevant information was obtained from three sources: re-analyses of data from previous studies, a study in which 791 adults performed storage-plus-processing working memory tasks, and a study in which 236…

  20. Purpose: Giftedness in Intrapersonal Intelligence

    ERIC Educational Resources Information Center

    Moran, Seana

    2009-01-01

    Purpose is an internal compass that integrates engagement in activities that affect others, self-awareness of one's reasons, and the intention to continue these activities. We argue that purpose represents giftedness in intrapersonal intelligence, which processes information related to self, identity, self-regulation, and one's place in the world.…

  1. Artificial Intelligence and Expert Systems.

    ERIC Educational Resources Information Center

    Lawlor, Joseph

    Artificial intelligence (AI) is the field of scientific inquiry concerned with designing machine systems that can simulate human mental processes. The field draws upon theoretical constructs from a wide variety of disciplines, including mathematics, psychology, linguistics, neurophysiology, computer science, and electronic engineering. Some of the…

  2. Promoting cognitive complexity in corrections practice: Clinical supervision processes with psychotherapist trainees.

    PubMed

    Magaletta, Philip R; McLearen, Alix M

    2015-06-01

    Practicing psychotherapy with inmates in correctional settings is challenging. Psychotherapists may be asked to address multiple treatment targets including severe mental illness and disruptive behaviors, alongside other recidivism-related factors such as substance abuse, criminal thinking errors, and deviant peer networks. In addition, the practice occurs with the secure confines of the correctional facility where an appreciation of culture, including cultures of staff from nonpsychology disciplines, is paramount. These are just a few of the factors highlighting the importance of sound clinical supervision. Unfortunately, clinical supervision processes in this realm have not been systematically explored. Using the therapist's cognitive complexity model elucidated by Owen and Lindley (2010), two clinical supervision processes are described. Each demonstrates an opportunity for psychotherapist trainees to build cognitive complexity into their correctional psychotherapy practices and repertoire. With supervisor-led framework development, better student engagement with corrections practice and higher quality psychological services for inmates may emerge. PMID:25402765

  3. mRNA 3′end processing: A tale of the tail reaches the clinic

    PubMed Central

    Hollerer, Ina; Grund, Kerstin; Hentze, Matthias W; Kulozik, Andreas E

    2014-01-01

    Recent advances reveal mRNA 3′end processing as a highly regulated process that fine-tunes posttranscriptional gene expression. This process can affect the site and/or the efficiency of 3′end processing, controlling the quality and the quantity of substrate mRNAs. The regulation of 3′end processing plays a central role in fundamental physiology such as blood coagulation and innate immunity. In addition, errors in mRNA 3′end processing have been associated with a broad spectrum of human diseases, including cancer. We summarize and discuss the paradigmatic shift in the understanding of 3′end processing as a mechanism of posttranscriptional gene regulation that has reached clinical medicine. PMID:24408965

  4. Software for MR image overlay guided needle insertions: the clinical translation process

    NASA Astrophysics Data System (ADS)

    Ungi, Tamas; U-Thainual, Paweena; Fritz, Jan; Iordachita, Iulian I.; Flammang, Aaron J.; Carrino, John A.; Fichtinger, Gabor

    2013-03-01

    PURPOSE: Needle guidance software using augmented reality image overlay was translated from the experimental phase to support preclinical and clinical studies. Major functional and structural changes were needed to meet clinical requirements. We present the process applied to fulfill these requirements, and selected features that may be applied in the translational phase of other image-guided surgical navigation systems. METHODS: We used an agile software development process for rapid adaptation to unforeseen clinical requests. The process is based on iterations of operating room test sessions, feedback discussions, and software development sprints. The open-source application framework of 3D Slicer and the NA-MIC kit provided sufficient flexibility and stable software foundations for this work. RESULTS: All requirements were addressed in a process with 19 operating room test iterations. Most features developed in this phase were related to workflow simplification and operator feedback. CONCLUSION: Efficient and affordable modifications were facilitated by an open source application framework and frequent clinical feedback sessions. Results of cadaver experiments show that software requirements were successfully solved after a limited number of operating room tests.

  5. The Process Approach to Clinical Pharmacy Orientation--Four Years' Experience.

    ERIC Educational Resources Information Center

    Moleski, Ronald J.; Snodgrass, Gary L.

    1979-01-01

    The process approach is an effective method of teaching clinical pharmacy clerkship orientation, the major advantage of which is increased student participation based on improved early identification of predetermined learning outcomes. The primary disadvantage is the difficulty of implementation. A lesson plan is appended. (MLW)

  6. Adopting Health Behavior Change Theory throughout the Clinical Practice Guideline Process

    ERIC Educational Resources Information Center

    Ceccato, Natalie E.; Ferris, Lorraine E.; Manuel, Douglas; Grimshaw, Jeremy M.

    2007-01-01

    Adopting a theoretical framework throughout the clinical practice guideline (CPG) process (development, dissemination, implementation, and evaluation) can be useful in systematically identifying, addressing, and explaining behavioral influences impacting CPG uptake and effectiveness. This article argues that using a theoretical framework should…

  7. Anger and Sadness Perception in Clinically Referred Preschoolers: Emotion Processes and Externalizing Behavior Symptoms

    ERIC Educational Resources Information Center

    Martin, Sarah E.; Boekamp, John R.; McConville, David W.; Wheeler, Elizabeth E.

    2010-01-01

    This study examined emotion perception processes in preschool aged children presenting with clinically significant emotional and behavior problems, with emphasis on sadness perception accuracy (i.e., the ability to correctly identify sadness from expressive and situational cues) and anger perception bias (i.e., the tendency to perceive anger in…

  8. Disciplined Decision Making in an Interdisciplinary Environment: Some Implications for Clinical Applications of Statistical Process Control.

    ERIC Educational Resources Information Center

    Hantula, Donald A.

    1995-01-01

    Clinical applications of statistical process control (SPC) in human service organizations are considered. SPC is seen as providing a standard set of criteria that serves as a common interface for data-based decision making, which may bring decision making under the control of established contingencies rather than the immediate contingencies of…

  9. Project Zero Delay: a process for accelerating the activation of cancer clinical trials.

    PubMed

    Kurzrock, Razelle; Pilat, Susan; Bartolazzi, Marcel; Sanders, Dwana; Van Wart Hood, Jill; Tucker, Stanley D; Webster, Kevin; Mallamaci, Michael A; Strand, Steven; Babcock, Eileen; Bast, Robert C

    2009-09-10

    Drug development in cancer research is lengthy and expensive. One of the rate-limiting steps is the initiation of first-in-human (phase I) trials. Three to 6 months can elapse between investigational new drug (IND) approval by the US Food and Drug Administration and the entry of a first patient. Issues related to patient participation have been well analyzed, but the administrative processes relevant to implementing clinical trials have received less attention. While industry and academia often partner for the performance of phase I studies, their administrative processes are generally performed independently, and their timelines driven by different priorities: safety reviews, clinical operations, regulatory submissions, and contracting of clinical delivery vendors for industry; contracts, budgets, and institutional review board approval for academia. Both processes converge on US Food and Drug Administration approval of an IND. In the context of a strategic alliance between M. D. Anderson Cancer Center and AstraZeneca Pharmaceuticals LP, a concerted effort has been made to eliminate delays in implementing clinical trials. These efforts focused on close communications, identifying and matching key timelines, alignment of priorities, and tackling administrative processes in parallel, rather than sequentially. In a recent, first-in-human trial, the study was activated and the first patient identified in 46 days from completion of the final study protocol and about 48 hours after final US Food and Drug Administration IND approval, reducing the overall timeline by about 3 months, while meeting all clinical good practice guidelines. Eliminating administrative delays can accelerate the evaluation of new drugs without compromising patient safety or the quality of clinical research. PMID:19652061

  10. An application of business process method to the clinical efficiency of hospital.

    PubMed

    Leu, Jun-Der; Huang, Yu-Tsung

    2011-06-01

    The concept of Total Quality Management (TQM) has come to be applied in healthcare over the last few years. The process management category in the Baldrige Health Care Criteria for Performance Excellence model is designed to evaluate the quality of medical services. However, a systematic approach for implementation support is necessary to achieve excellence in the healthcare business process. The Architecture of Integrated Information Systems (ARIS) is a business process architecture developed by IDS Scheer AG and has been applied in a variety of industrial application. It starts with a business strategy to identify the core and support processes, and encompasses the whole life-cycle range, from business process design to information system deployment, which is compatible with the concept of healthcare performance excellence criteria. In this research, we apply the basic ARIS framework to optimize the clinical processes of an emergency department in a mid-size hospital with 300 clinical beds while considering the characteristics of the healthcare organization. Implementation of the case is described, and 16 months of clinical data are then collected, which are used to study the performance and feasibility of the method. The experience gleaned in this case study can be used a reference for mid-size hospitals with similar business models. PMID:20703550

  11. Intelligent Virtual Station (IVS)

    NASA Technical Reports Server (NTRS)

    2002-01-01

    The Intelligent Virtual Station (IVS) is enabling the integration of design, training, and operations capabilities into an intelligent virtual station for the International Space Station (ISS). A viewgraph of the IVS Remote Server is presented.

  12. Intelligence: Genetic and Environmental Influences.

    ERIC Educational Resources Information Center

    Cancro, Robert, Ed.

    This book on the genetic and environmental influences on intelligence is comprised of the following papers: "The Structure of Intelligence in Relation to the Nature-Nurture Controversy," R. B. Cattell; "Theory of Intelligence," L. G. Humphreys; "Using Measured Intelligence Intelligently," P. R. Merrifield; "Intelligence: Definition, Theory, and…

  13. Intelligent data management

    NASA Technical Reports Server (NTRS)

    Campbell, William J.

    1985-01-01

    Intelligent data management is the concept of interfacing a user to a database management system with a value added service that will allow a full range of data management operations at a high level of abstraction using human written language. The development of such a system will be based on expert systems and related artificial intelligence technologies, and will allow the capturing of procedural and relational knowledge about data management operations and the support of a user with such knowledge in an on-line, interactive manner. Such a system will have the following capabilities: (1) the ability to construct a model of the users view of the database, based on the query syntax; (2) the ability to transform English queries and commands into database instructions and processes; (3) the ability to use heuristic knowledge to rapidly prune the data space in search processes; and (4) the ability to use an on-line explanation system to allow the user to understand what the system is doing and why it is doing it. Additional information is given in outline form.

  14. Openness, Intelligence, and Self-Report Intelligence

    ERIC Educational Resources Information Center

    Gignac, Gilles E.; Stough, Con; Loukomitis, Sue

    2004-01-01

    Past studies that have examined the relationship between Openness and crystallized ability have failed to account statistically for the fact that subtests commonly regarded as measures of crystallized intelligence (e.g., Vocabulary) are contaminated substantially by general intelligence. A method using residuals derived from a regression is…

  15. Effectiveness of Multiple Intelligence Based Teaching (MIBT) in Teaching Mathematics for Primary School Students

    ERIC Educational Resources Information Center

    Xavier, P.; Annaraja, P.

    2007-01-01

    Multiple Intelligence Based Teaching (MIBT) applies the multiple intelligence theory in the process of teaching and learning. MIBT explores and develops the intelligence of the students. Also, it teaches the content in a multiple way to the students. The objective of the present study is to find out the effectiveness of multiple intelligence based…

  16. What Should Intelligence Tests Test? Implications of a Triarchic Theory of Intelligence for Intelligence Testing.

    ERIC Educational Resources Information Center

    Sternberg, Robert J.

    1984-01-01

    Argues that IQ tests work only for some people some of the time. Offers a theory that emphasizes the roles in intelligence of information-processing, the environmental context, and coping with novelty and automatization of task performance, as a possibility for improving levels of prediction. (CMG)

  17. Calendrical Calculation and Intelligence.

    ERIC Educational Resources Information Center

    O'Connor, Neil; Cowan, Richard; Samella, Katerina

    2000-01-01

    Studied the ability to name the days of the week for dates in the past and future (calendrical calculation) of 10 calendrical savants with Wechlser Adult Intelligence Scale scores from 50 to 97. Results suggest that although low intelligence does not prevent the development of this skill, the talent depends on general intelligence. (SLD)

  18. Orchestrating Multiple Intelligences

    ERIC Educational Resources Information Center

    Moran, Seana; Kornhaber, Mindy; Gardner, Howard

    2006-01-01

    Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…

  19. Jensen and Intelligence.

    ERIC Educational Resources Information Center

    Brody, Nathan

    1998-01-01

    Discusses the contributions of Arthur Jensen to the study of intelligence and considers his writings on the topic of racial differences in scores on tests of intelligence. Concludes with a discussion of his work on the correlates of the "g" vector (general intelligence factor). (Author/SLD)

  20. Intelligence: A Skeptical View.

    ERIC Educational Resources Information Center

    Ebel, Robert L.

    1979-01-01

    This essay provides an overview of the controversies surrounding intelligence: its definition, its genetic or environmental basis, its relationship to achievement and learning ability, cultural factors, and the use of intelligence tests in the schools. This article is part of a theme issue on intelligence. (SJL)

  1. Diversity in Our Intelligence.

    ERIC Educational Resources Information Center

    Martinez, Jesus I.

    2002-01-01

    Babies and young children learn through extensive experimenting and by being encouraged, unknowingly, by parents to use their multiple intelligences. Later, children are forced to conform to the narrow intelligence valued by the formal education system; those who can not adapt drop out. By using multiple intelligences, we access a greater portion…

  2. Intelligence and Adult Learning.

    ERIC Educational Resources Information Center

    Fellenz, Robert A., Ed.; Conti, Gary J., Ed.

    "Understanding Adult Intelligence" (Robert Sternberg) focuses on the nature of intelligence. It explains Sternberg's triarchic theory, in which he posits three main aspects of intelligence: its relation to the internal or mental world of the learner, its relation to experience, and its relation to the surrounding world. "Strategies and Learning"…

  3. Categorization Parameters and Intelligence.

    ERIC Educational Resources Information Center

    Meiran, Nachshon; Fischman, Eliezer

    1989-01-01

    To establish the relationship between categorization ability and psychometric intelligence, 98 ninth graders in Israel were instructed to group 28 common Hebrew nouns into categories and were given a battery of intelligence tests. Results are discussed in terms of their impact on the design of intelligence testing. (SLD)

  4. Intelligence and Creativity

    ERIC Educational Resources Information Center

    Ferrando, M.; Prieto, M. D.; Ferrandiz, C.; Sanchez, C.

    2005-01-01

    Introduction: Numerous authors have investigated the relationship which exists between creativity and intelligence, and diverse results were found. Thus, Guilford (1950) includes creativity within the intelligence construct, Sternberg (1988) alludes to creativity as encompassing the intelligence construct; Gardner (1995) indicates a close…

  5. Culture and Intelligence

    ERIC Educational Resources Information Center

    Sternberg, Robert J.

    2004-01-01

    Intelligence cannot be fully or even meaningfully understood outside its cultural context. Work that seeks to study intelligence acontextually risks the imposition of an investigator's view of the world on the rest of the world. Moreover, work on intelligence within a single culture may fail to do justice to the range of skills and knowledge that…

  6. Artificial Intelligence for the Evaluation of Operational Parameters Influencing Nitrification and Nitrifiers in an Activated Sludge Process.

    PubMed

    Awolusi, Oluyemi Olatunji; Nasr, Mahmoud; Kumari, Sheena; Bux, Faizal

    2016-07-01

    Nitrification at a full-scale activated sludge plant treating municipal wastewater was monitored over a period of 237 days. A combination of fluorescent in situ hybridization (FISH) and quantitative real-time polymerase chain reaction (qPCR) were used for identifying and quantifying the dominant nitrifiers in the plant. Adaptive neuro-fuzzy inference system (ANFIS), Pearson's correlation coefficient, and quadratic models were employed in evaluating the plant operational conditions that influence the nitrification performance. The ammonia-oxidizing bacteria (AOB) abundance was within the range of 1.55 × 10(8)-1.65 × 10(10) copies L(-1), while Nitrobacter spp. and Nitrospira spp. were 9.32 × 10(9)-1.40 × 10(11) copies L(-1) and 2.39 × 10(9)-3.76 × 10(10) copies L(-1), respectively. Specific nitrification rate (qN) was significantly affected by temperature (r 0.726, p 0.002), hydraulic retention time (HRT) (r -0.651, p 0.009), and ammonia loading rate (ALR) (r 0.571, p 0.026). Additionally, AOB was considerably influenced by HRT (r -0.741, p 0.002) and temperature (r 0.517, p 0.048), while HRT negatively impacted Nitrospira spp. (r -0.627, p 0.012). A quadratic combination of HRT and food-to-microorganism (F/M) ratio also impacted qN (r (2) 0.50), AOB (r (2) 0.61), and Nitrospira spp. (r (2) 0.72), while Nitrobacter spp. was considerably influenced by a polynomial function of F/M ratio and temperature (r (2) 0.49). The study demonstrated that ANFIS could be used as a tool to describe the factors influencing nitrification process at full-scale wastewater treatment plants. PMID:26906468

  7. Reforming the EU Clinical Trials Directive: streamlining processes or a radical "new" agenda?.

    PubMed

    McHale, Jean V

    2013-09-01

    From its conception the EU Clinical Trials Directive met with controversy. Some saw it as an unnecessary inhibitor to scientific research, introducing bureaucracy which was unduly expensive, slowing down the clinical trial approval system. The Directive however also enshrined respect for fundamental rights in relation to clinical trials decision-making and impacted upon the domestic law of member states facilitating the alignment of trial review processes. Nearly a decade after its implementation the EU is moving towards implementation of further reform in this area, from a Directive to a Regulation, from a system placing the research ethics system at the heart of the clinical trials approval committee to one which does not and which represents a see change in international and domestic approaches to research ethics. This article critically examines the proposed reform of the regulation of clinical trials on medicinal product through the introduction of a new EU Regulation and asks whether this can be seen as a natural streamlining of processes or a radical new agenda in EU health law and regulation. PMID:23977734

  8. Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

    PubMed Central

    2011-01-01

    The Institute of Medicine has targeted patient-centeredness as an important area of quality improvement. A major dimension of patient-centeredness is respect for patient's values, preferences, and expressed needs. Yet specific approaches to gaining this understanding and translating it to quality care in the clinical setting are lacking. From a patient perspective quality is not a simple concept but is best understood in terms of five dimensions: technical outcomes; decision-making efficiency; amenities and convenience; information and emotional support; and overall patient satisfaction. Failure to consider quality from this five-pronged perspective results in a focus on medical outcomes, without considering the processes central to quality from the patient's perspective and vital to achieving good outcomes. In this paper, we argue for applying the concept of fair process in clinical settings. Fair process involves using a collaborative approach to exploring diagnostic issues and treatments with patients, explaining the rationale for decisions, setting expectations about roles and responsibilities, and implementing a core plan and ongoing evaluation. Fair process opens the door to bringing patient expertise into the clinical setting and the work of developing health care goals and strategies. This paper provides a step by step illustration of an innovative visual approach, called photovoice or photo-elicitation, to achieve fair process in clinical work with acquired brain injury survivors and others living with chronic health conditions. Applying this visual tool and methodology in the clinical setting will enhance patient-provider communication; engage patients as partners in identifying challenges, strengths, goals, and strategies; and support evaluation of progress over time. Asking patients to bring visuals of their lives into the clinical interaction can help to illuminate gaps in clinical knowledge, forge better therapeutic relationships with patients living

  9. Using visual and narrative methods to achieve fair process in clinical care.

    PubMed

    Lorenz, Laura S; Chilingerian, Jon A

    2011-01-01

    The Institute of Medicine has targeted patient-centeredness as an important area of quality improvement. A major dimension of patient-centeredness is respect for patient's values, preferences, and expressed needs. Yet specific approaches to gaining this understanding and translating it to quality care in the clinical setting are lacking. From a patient perspective quality is not a simple concept but is best understood in terms of five dimensions: technical outcomes; decision-making efficiency; amenities and convenience; information and emotional support; and overall patient satisfaction. Failure to consider quality from this five-pronged perspective results in a focus on medical outcomes, without considering the processes central to quality from the patient's perspective and vital to achieving good outcomes. In this paper, we argue for applying the concept of fair process in clinical settings. Fair process involves using a collaborative approach to exploring diagnostic issues and treatments with patients, explaining the rationale for decisions, setting expectations about roles and responsibilities, and implementing a core plan and ongoing evaluation. Fair process opens the door to bringing patient expertise into the clinical setting and the work of developing health care goals and strategies. This paper provides a step by step illustration of an innovative visual approach, called photovoice or photo-elicitation, to achieve fair process in clinical work with acquired brain injury survivors and others living with chronic health conditions. Applying this visual tool and methodology in the clinical setting will enhance patient-provider communication; engage patients as partners in identifying challenges, strengths, goals, and strategies; and support evaluation of progress over time. Asking patients to bring visuals of their lives into the clinical interaction can help to illuminate gaps in clinical knowledge, forge better therapeutic relationships with patients living

  10. Professional or administrative value patterns? Clinical pathways in medical problem-solving processes.

    PubMed

    Holmberg, Leif

    2007-11-01

    A health-care organization simultaneously belongs to two different institutional value patterns: a professional and an administrative value pattern. At the administrative level, medical problem-solving processes are generally perceived as the efficient application of familiar chains of activities to well-defined problems; and a low task uncertainty is therefore assumed at the work-floor level. This assumption is further reinforced through clinical pathways and other administrative guidelines. However, studies have shown that in clinical practice such administrative guidelines are often considered inadequate and difficult to implement mainly because physicians generally perceive task uncertainty to be high and that the guidelines do not cover the scope of encountered deviations. The current administrative level guidelines impose uniform structural features that meet the requirement for low task uncertainty. Within these structural constraints, physicians must organize medical problem-solving processes to meet any task uncertainty that may be encountered. Medical problem-solving processes with low task uncertainty need to be organized independently of processes with high task uncertainty. Each process must be evaluated according to different performance standards and needs to have autonomous administrative guideline models. Although clinical pathways seem appropriate when there is low task uncertainty, other kinds of guidelines are required when the task uncertainty is high. PMID:17958969

  11. ‘You can’t just hit a button’: an ethnographic study of strategies to repurpose data from advanced clinical information systems for clinical process improvement

    PubMed Central

    2013-01-01

    Background Current policies encourage healthcare institutions to acquire clinical information systems (CIS) so that captured data can be used for secondary purposes, including clinical process improvement. Such policies do not account for the extra work required to repurpose data for uses other than direct clinical care, making their implementation problematic. This paper aims to analyze the strategies employed by clinical units to use data effectively for both direct clinical care and clinical process improvement. Methods Ethnographic methods were employed. A total of 54 contextual interviews with health professionals spanning various disciplines and 18 hours of observation were carried out in 5 intensive care units in England using an advanced CIS. Case studies of how the extra work was achieved in each unit were derived from the data and then compared. Results We found that extra work is required to repurpose CIS data for clinical process improvement. Health professionals must enter data not required for clinical care and manipulation of this data into a machine-readable form is often necessary. Ambiguity over who should be responsible for this extra work hindered CIS data usage for clinical process improvement. We describe 11 strategies employed by units to accommodate this extra work, distributing it across roles. Seven of these motivated data entry by health professionals and four addressed the machine readability of data. Many of the strategies relied heavily on the skill and leadership of local clinical customizers. Conclusions To realize the expected clinical process improvements by the use of CIS data, clinical leaders and policy makers need to recognize and support the redistribution of the extra work that is involved in data repurposing. Adequate time, funding, and appropriate motivation are needed to enable units to acquire and deliver the necessary skills in CIS customization. PMID:23574920

  12. Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

    PubMed Central

    Mowery, D.; South, B. R.; Kvist, M.; Dalianis, H.

    2015-01-01

    Summary Objectives We present a review of recent advances in clinical Natural Language Processing (NLP), with a focus on semantic analysis and key subtasks that support such analysis. Methods We conducted a literature review of clinical NLP research from 2008 to 2014, emphasizing recent publications (2012-2014), based on PubMed and ACL proceedings as well as relevant referenced publications from the included papers. Results Significant articles published within this time-span were included and are discussed from the perspective of semantic analysis. Three key clinical NLP subtasks that enable such analysis were identified: 1) developing more efficient methods for corpus creation (annotation and de-identification), 2) generating building blocks for extracting meaning (morphological, syntactic, and semantic subtasks), and 3) leveraging NLP for clinical utility (NLP applications and infrastructure for clinical use cases). Finally, we provide a reflection upon most recent developments and potential areas of future NLP development and applications. Conclusions There has been an increase of advances within key NLP subtasks that support semantic analysis. Performance of NLP semantic analysis is, in many cases, close to that of agreement between humans. The creation and release of corpora annotated with complex semantic information models has greatly supported the development of new tools and approaches. Research on non-English languages is continuously growing. NLP methods have sometimes been successfully employed in real-world clinical tasks. However, there is still a gap between the development of advanced resources and their utilization in clinical settings. A plethora of new clinical use cases are emerging due to established health care initiatives and additional patient-generated sources through the extensive use of social media and other devices. PMID:26293867

  13. Children Becoming More Intelligent: Can the Flynn Effect Be Generalized to Other Child Intelligence Tests?

    ERIC Educational Resources Information Center

    Resing, Wilma C. M.; Tunteler, Erika

    2007-01-01

    In this article, time effects on intelligence test scores have been investigated. In particular, we examined whether the "Flynn effect" is manifest in children from the middle and higher IQ distribution range, measured with a child intelligence test based on information processing principles--the Leiden Diagnostic Test. The test was administered…

  14. Intelligent alarming

    NASA Technical Reports Server (NTRS)

    Braden, W. B.

    1992-01-01

    This talk discusses the importance of providing a process operator with concise information about a process fault including a root cause diagnosis of the problem, a suggested best action for correcting the fault, and prioritization of the problem set. A decision tree approach is used to illustrate one type of approach for determining the root cause of a problem. Fault detection in several different types of scenarios is addressed, including pump malfunctions and pipeline leaks. The talk stresses the need for a good data rectification strategy and good process models along with a method for presenting the findings to the process operator in a focused and understandable way. A real time expert system is discussed as an effective tool to help provide operators with this type of information. The use of expert systems in the analysis of actual versus predicted results from neural networks and other types of process models is discussed.

  15. Identity development, intelligence structure, and interests: a cross-sectional study in a group of Italian adolescents during the decision-making process

    PubMed Central

    Pellerone, Monica; Passanisi, Alessia; Bellomo, Mario Filippo Paolo

    2015-01-01

    Background Forming one’s identity is thought to be the key developmental task of adolescence, but profound changes in personality traits also occur in this period. The negotiation of complex social settings, the creation of an integrated identity, and career choice are major tasks of adolescence. The adolescent, having to make choices for his or her future, has not only to consider his or her own aspirations and interests but also to possess a capacity for exploration and commitment; in fact, career commitments can be considered as a fit between the study or career that is chosen and personal values, skills, and preferences. Methods The objective of the study reported here was to investigate the role of identity on profile of interests; the relation between identity and decisional style; the correlation between identity, aptitudes, interests, and school performance; and the predictive variables to school success. The research involved 417 Italian students who live in Enna, a small city located in Sicily, Italy, aged 16–19 years (197 males and 220 females) in the fourth year (mean =17.2, standard deviation =0.52) and the fifth year (mean =18.2, standard deviation =0.64) of senior secondary school. The research lasted for one school year; the general group of participants consisted of 470 students, and although all participants agreed to be part of the research, there was a dropout rate of 11.28%. They completed the Ego Identity Process Questionnaire to measure their identity development, the Intelligence Structure Test to investigate aptitudes, the Self-Directed Search to value interests, and General Decision Making Style questionnaire to describe their individual decisional style. Results The data showed that high-school performance was positively associated with rational decision-making style and identity diffusion predicted the use of avoidant style. Interests were related to identity exploration; the differentiation of preferences was related to identity

  16. The feasibility of using natural language processing to extract clinical information from breast pathology reports

    PubMed Central

    Buckley, Julliette M.; Coopey, Suzanne B.; Sharko, John; Polubriaginof, Fernanda; Drohan, Brian; Belli, Ahmet K.; Kim, Elizabeth M. H.; Garber, Judy E.; Smith, Barbara L.; Gadd, Michele A.; Specht, Michelle C.; Roche, Constance A.; Gudewicz, Thomas M.; Hughes, Kevin S.

    2012-01-01

    Objective: The opportunity to integrate clinical decision support systems into clinical practice is limited due to the lack of structured, machine readable data in the current format of the electronic health record. Natural language processing has been designed to convert free text into machine readable data. The aim of the current study was to ascertain the feasibility of using natural language processing to extract clinical information from >76,000 breast pathology reports. Approach and Procedure: Breast pathology reports from three institutions were analyzed using natural language processing software (Clearforest, Waltham, MA) to extract information on a variety of pathologic diagnoses of interest. Data tables were created from the extracted information according to date of surgery, side of surgery, and medical record number. The variety of ways in which each diagnosis could be represented was recorded, as a means of demonstrating the complexity of machine interpretation of free text. Results: There was widespread variation in how pathologists reported common pathologic diagnoses. We report, for example, 124 ways of saying invasive ductal carcinoma and 95 ways of saying invasive lobular carcinoma. There were >4000 ways of saying invasive ductal carcinoma was not present. Natural language processor sensitivity and specificity were 99.1% and 96.5% when compared to expert human coders. Conclusion: We have demonstrated how a large body of free text medical information such as seen in breast pathology reports, can be converted to a machine readable format using natural language processing, and described the inherent complexities of the task. PMID:22934236

  17. Federating Clinical Data from Six Pediatric Hospitals: Process and Initial Results from the PHIS+ Consortium

    PubMed Central

    Narus, Scott P.; Srivastava, Rajendu; Gouripeddi, Ramkiran; Livne, Oren E.; Mo, Peter; Bickel, Jonathan P.; de Regt, David; Hales, Joseph W.; Kirkendall, Eric; Stepanek, Richard L.; Toth, Jamie; Keren, Ron

    2011-01-01

    Integrating clinical data with administrative data across disparate electronic medical record systems will help improve the internal and external validity of comparative effectiveness research. The Pediatric Health Information System (PHIS) currently collects administrative information from 43 pediatric hospital members of the Child Health Corporation of America (CHCA). Members of the Pediatric Research in Inpatient Settings (PRIS) network have partnered with CHCA and the University of Utah Biomedical Informatics Core to create an enhanced version of PHIS that includes clinical data. A specialized version of a data federation architecture from the University of Utah (“FURTHeR”) is being developed to integrate the clinical data from the member hospitals into a common repository (“PHIS+”) that is joined with the existing administrative data. We report here on our process for the first phase of federating lab data, and present initial results. PMID:22195159

  18. Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary

    PubMed Central

    Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda

    2014-01-01

    In April 2012, the National Institutes of Health organized a two-day workshop entitled ‘Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making’ (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients. PMID:23921193

  19. A simulation framework for mapping risks in clinical processes: the case of in-patient transfers

    PubMed Central

    Ong, Mei-Sing; Westbrook, Johanna I; Magrabi, Farah; Coiera, Enrico; Wobcke, Wayne

    2011-01-01

    Objective To model how individual violations in routine clinical processes cumulatively contribute to the risk of adverse events in hospital using an agent-based simulation framework. Design An agent-based simulation was designed to model the cascade of common violations that contribute to the risk of adverse events in routine clinical processes. Clinicians and the information systems that support them were represented as a group of interacting agents using data from direct observations. The model was calibrated using data from 101 patient transfers observed in a hospital and results were validated for one of two scenarios (a misidentification scenario and an infection control scenario). Repeated simulations using the calibrated model were undertaken to create a distribution of possible process outcomes. The likelihood of end-of-chain risk is the main outcome measure, reported for each of the two scenarios. Results The simulations demonstrate end-of-chain risks of 8% and 24% for the misidentification and infection control scenarios, respectively. Over 95% of the simulations in both scenarios are unique, indicating that the in-patient transfer process diverges from prescribed work practices in a variety of ways. Conclusions The simulation allowed us to model the risk of adverse events in a clinical process, by generating the variety of possible work subject to violations, a novel prospective risk analysis method. The in-patient transfer process has a high proportion of unique trajectories, implying that risk mitigation may benefit from focusing on reducing complexity rather than augmenting the process with further rule-based protocols. PMID:21486883

  20. Biologically inspired intelligent robots

    NASA Astrophysics Data System (ADS)

    Bar-Cohen, Yoseph; Breazeal, Cynthia

    2003-07-01

    Humans throughout history have always sought to mimic the appearance, mobility, functionality, intelligent operation, and thinking process of biological creatures. This field of biologically inspired technology, having the moniker biomimetics, has evolved from making static copies of human and animals in the form of statues to the emergence of robots that operate with realistic behavior. Imagine a person walking towards you where suddenly you notice something weird about him--he is not real but rather he is a robot. Your reaction would probably be "I can't believe it but this robot looks very real" just as you would react to an artificial flower that is a good imitation. You may even proceed and touch the robot to check if your assessment is correct but, as oppose to the flower case, the robot may be programmed to respond physical and verbally. This science fiction scenario could become a reality as the current trend continues in developing biologically inspired technologies. Technology evolution led to such fields as artificial muscles, artificial intelligence, and artificial vision as well as biomimetic capabilities in materials science, mechanics, electronics, computing science, information technology and many others. This paper will review the state of the art and challenges to biologically-inspired technologies and the role that EAP is expected to play as the technology evolves.

  1. DYNACLIPS (DYNAmic CLIPS): A dynamic knowledge exchange tool for intelligent agents

    NASA Technical Reports Server (NTRS)

    Cengeloglu, Yilmaz; Khajenoori, Soheil; Linton, Darrell

    1994-01-01

    In a dynamic environment, intelligent agents must be responsive to unanticipated conditions. When such conditions occur, an intelligent agent may have to stop a previously planned and scheduled course of actions and replan, reschedule, start new activities and initiate a new problem solving process to successfully respond to the new conditions. Problems occur when an intelligent agent does not have enough knowledge to properly respond to the new situation. DYNACLIPS is an implementation of a framework for dynamic knowledge exchange among intelligent agents. Each intelligent agent is a CLIPS shell and runs a separate process under SunOS operating system. Intelligent agents can exchange facts, rules, and CLIPS commands at run time. Knowledge exchange among intelligent agents at run times does not effect execution of either sender and receiver intelligent agent. Intelligent agents can keep the knowledge temporarily or permanently. In other words, knowledge exchange among intelligent agents would allow for a form of learning to be accomplished.

  2. [The interpreter role of clinical geneticist in the process of genetic testing].

    PubMed

    Franková, V

    2007-01-01

    Due to the progress in genetic research, development and rapid introduction of new genetic tests into clinical practise can be expected. This is raising many ethical issues which need to be carefully considered. First, genetic information is a familial. Thus, the test result of one person may have direct health implications for others who are genetically related. Second, the risks of genetic testing are also psychological, social and financial. Third, due to complex ways of genes interactions, genetic information often has limited predictive power. Finally, many genetic conditions remain difficult to treat or prevent, meaning the value of genetic information may be limited for altering the clinical care for the person. Given these concerns, detailed counselling and informed consent should be key aspects of genetic testing process. Genetic counselling in Czech Republic is provided by clinical geneticist. Therefore he is playing a key role in addressing these issues to patients. His second role is to interpret the genetic information revealed in genetic testing into the language understandable for patient, which means translation of genetic data into diagnosis and clinical management of individual, a transformation from statistics to physical persons. This interpretation is determining many aspects of patient's future life (future planning, reproductive decisions, prevention, health behaviour, etc.) and also family attitudes towards testing. The importance of genetic counselling, informed consent process and precise interpretation of results will be increasing over the time when new generation of genetic technologies for detecting the common conditions will be introduced into the practise. PMID:18069209

  3. Towards an evidence-based process for the clinical interpretation of copy number variation

    PubMed Central

    Riggs, ER; Church, DM; Hanson, K; Horner, VL; Kaminsky, EB; Kuhn, RM; Wain, KE; Williams, ES; Aradhya, S; Kearney, HM; Ledbetter, DH; South, ST; Thorland, EC; Martin, CL

    2016-01-01

    The evidence-based review (EBR) process has been widely used to develop standards for medical decision-making and to explore complex clinical questions. This approach can be applied to genetic tests, such as chromosomal microarrays, in order to assist in the clinical interpretation of certain copy number variants (CNVs), particularly those that are rare, and guide array design for optimal clinical utility. To address these issues, the International Standards for Cytogenomic Arrays Consortium has established an EBR Work Group charged with building a framework to systematically assess the potential clinical relevance of CNVs throughout the genome. This group has developed a rating system enumerating the evidence supporting or refuting dosage sensitivity for individual genes and regions that considers the following criteria: number of causative mutations reported; patterns of inheritance; consistency of phenotype; evidence from large-scale case-control studies; mutational mechanisms; data from public genome variation databases; and expert consensus opinion. The system is designed to be dynamic in nature, with regions being reevaluated periodically to incorporate emerging evidence. The evidence collected will be displayed within a publically available database, and can be used in part to inform clinical laboratory CNV interpretations as well as to guide array design. PMID:22097934

  4. The Role of Sex Differences in the Referral Process as Measured by the Peabody Picture Vocabulary Test-Revised and the Wechsler Intelligence Scale for Children-Revised.

    ERIC Educational Resources Information Center

    Smith, Teresa C.; And Others

    1989-01-01

    Explored sex differences on the Peabody Picture Vocabulary Test-Revised (PPVT-R) and the Wechsler Intelligence Scale for Children-Revised (WISC-R) in a sample of 432 Arkansas school children, ages 6 to 16, referred for special education assessment. Analysis of variance indicated significant sex differences among WISC-R Full Scale, Verbal, and…

  5. Raising the clinical standard of care for suicidal soldiers: an army process improvement initiative.

    PubMed

    Archuleta, Debra; Jobes, David A; Pujol, Lynette; Jennings, Keith; Crumlish, Jennifer; Lento, Rene M; Brazaitis, Katherine; Moore, Bret A; Crow, Bruce

    2014-01-01

    From 2004 to 2008, the suicide rate among US Army Soldiers increased 80%, reaching a record high in 2008 and surpassing the civilian rate for the first time in recorded history. In recent years, the rate of Army suicides rose again; the year 2012 reflects the highest rate of military suicides on record. There is a need to assess current behavioral health practices to identify both effective and ineffective practices, and to adapt services to meet the needs of the Army behavioral health patient population. This paper discusses a process improvement initiative developed in an effort to improve clinical processes for suicide risk mitigation in an Army behavioral health clinic located in the catchment area of the US Army Southern Regional Medical Command. PMID:25830799

  6. Relationship Between Intelligence and Self-Perceived Intelligence.

    ERIC Educational Resources Information Center

    Kulkarni, A. V.

    1982-01-01

    To investigate the relationship of self-perceived intelligence to measured intelligence across age and instrumentation, two intelligence tests and two self-concept tests were administered to postgraduate students and to high school students. Intelligence and self-perceived intelligence were found to be independent of each other. (Author/CM)

  7. A Hybrid Process Fidelity Assessment in a Home-based Randomized Clinical Trial

    PubMed Central

    WILDE, MARY H.; LIEBEL, DIANNE; FAIRBANKS, EILEEN; WILSON, PAULA; LASH, MARGARET; SHAH, SHIVANI; McDONALD, MARGARET V.; BRASCH, JUDITH; ZHANG, FENG; SCHEID, EILEEN; McMAHON, JAMES M.

    2016-01-01

    A process fidelity assessment was conducted as a nested study within a home-based randomized clinical trial teaching self-management to 101 long-term indwelling urinary catheter users in the treatment group. Our hybrid model combined external assessments (outside observations and tape recordings) with internal evaluation methods (through study nurse forms and notes) for a comprehensive process fidelity assessment. Barriers, patient-related issues, and nurse perspectives were identified demonstrating the complexity in home care intervention research. The complementary and synergistic approaches provided in depth information about the context of the delivery and the impact of the intervention on study outcomes. PMID:25894688

  8. Analysis of the masticatory process of asthmatic children: Clinical and electromyographic research

    PubMed Central

    da Cunha, Daniele Andrade; da Silva, Hilton Justino; Nascimento, Gerlane Karla Bezerra Oliveira; da Silva, Elthon Gomes Fernandes; da Cunha, Renata Andrade; Régis, Renata Milena Freire Lima; de Castro, Célia Maria Machado Barbosa

    2012-01-01

    Summary Introduction: The prevalence of asthma has grown considerably in recent decades, but some studies have shown stabilization of this trend. The masticatory process of asthmatic children may be altered due to asthma-related anatomo-functional changes. Objective: The study objective was to determine the clinical and electromyographic characteristics of the masticatory process in asthmatic children and compare the electrical activities of their masseter and anterior temporal muscles (at rest and during maximal voluntary contraction and mastication) with those of non-asthmatic children. Method: Case study. Asthmatic and non-asthmatic groups, each consisting of 30 children of both sexes between 6 and 10 years of age, were evaluated. Mastication was evaluated clinically and electromyographically in all subjects. RESULTS: The masticatory process did not differ significantly between asthmatic and non-asthmatic children. Conclusion: Although the masticatory process did not differ significantly between asthmatic and non-asthmatic children, the masticatory process of asthmatic children may be altered because of anatomical changes of Asthma. PMID:25991958

  9. Intelligent supercomputers: the Japanese computer sputnik

    SciTech Connect

    Walter, G.

    1983-11-01

    Japan's government-supported fifth-generation computer project has had a pronounced effect on the American computer and information systems industry. The US firms are intensifying their research on and production of intelligent supercomputers, a combination of computer architecture and artificial intelligence software programs. While the present generation of computers is built for the processing of numbers, the new supercomputers will be designed specifically for the solution of symbolic problems and the use of artificial intelligence software. This article discusses new and exciting developments that will increase computer capabilities in the 1990s. 4 references.

  10. Brief Report: The Level and Nature of Autistic Intelligence Revisited

    ERIC Educational Resources Information Center

    Bolte, Sven; Dziobek, Isabel; Poustka, Fritz

    2009-01-01

    Owing to higher performance on the Raven's Progressive Matrices (RPM) than on the Wechsler Intelligence Scales (WIS), it has recently been argued that intelligence is underestimated in autism. This study examined RPM and WIS IQs in 48 individuals with autism, a mixed clinical (n = 28) and a neurotypical (n = 25) control group. Average RPM IQ was…

  11. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect

    Troy Hiltbrand

    2010-09-01

    In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamically assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.

  12. Intelligent interfaces for expert systems

    NASA Technical Reports Server (NTRS)

    Villarreal, James A.; Wang, Lui

    1988-01-01

    Vital to the success of an expert system is an interface to the user which performs intelligently. A generic intelligent interface is being developed for expert systems. This intelligent interface was developed around the in-house developed Expert System for the Flight Analysis System (ESFAS). The Flight Analysis System (FAS) is comprised of 84 configuration controlled FORTRAN subroutines that are used in the preflight analysis of the space shuttle. In order to use FAS proficiently, a person must be knowledgeable in the areas of flight mechanics, the procedures involved in deploying a certain payload, and an overall understanding of the FAS. ESFAS, still in its developmental stage, is taking into account much of this knowledge. The generic intelligent interface involves the integration of a speech recognizer and synthesizer, a preparser, and a natural language parser to ESFAS. The speech recognizer being used is capable of recognizing 1000 words of connected speech. The natural language parser is a commercial software package which uses caseframe instantiation in processing the streams of words from the speech recognizer or the keyboard. The systems configuration is described along with capabilities and drawbacks.

  13. Intelligent Vehicle Health Management

    NASA Technical Reports Server (NTRS)

    Paris, Deidre E.; Trevino, Luis; Watson, Michael D.

    2005-01-01

    As a part of the overall goal of developing Integrated Vehicle Health Management systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of INM. These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the INM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

  14. Watershed based intelligent scissors.

    PubMed

    Wieclawek, W; Pietka, E

    2015-07-01

    Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedure, developed in this study, delineates the edge selected by a user. Due to a very restrictive set of pixels, subjected to the analysis, this approach significantly reduces the computational complexity. Moreover, the accuracy of the algorithm performance makes often one click point to be sufficient for one edge delineation. The method has been evaluated on structures as different in shape and appearance as the retina layers in OCT exams, chest and abdomen in CT and knee in MR studies. The accuracy is comparable with the traditional Life-Wire approach, whereas the analysis time decreases due to the reduction of the user interaction and number of pixels processed by the method. PMID:25698546

  15. Assessment of Intelligibility Using Children's Spontaneous Speech: Methodological Aspects

    ERIC Educational Resources Information Center

    Lagerberg, Tove B.; Åsberg, Jakob; Hartelius, Lena; Persson, Christina

    2014-01-01

    Background: Intelligibility is a speaker's ability to convey a message to a listener. Including an assessment of intelligibility is essential in both research and clinical work relating to individuals with communication disorders due to speech impairment. Assessment of the intelligibility of spontaneous speech can be used as an overall…

  16. Negation's not solved: generalizability versus optimizability in clinical natural language processing.

    PubMed

    Wu, Stephen; Miller, Timothy; Masanz, James; Coarr, Matt; Halgrim, Scott; Carrell, David; Clark, Cheryl

    2014-01-01

    A review of published work in clinical natural language processing (NLP) may suggest that the negation detection task has been "solved." This work proposes that an optimizable solution does not equal a generalizable solution. We introduce a new machine learning-based Polarity Module for detecting negation in clinical text, and extensively compare its performance across domains. Using four manually annotated corpora of clinical text, we show that negation detection performance suffers when there is no in-domain development (for manual methods) or training data (for machine learning-based methods). Various factors (e.g., annotation guidelines, named entity characteristics, the amount of data, and lexical and syntactic context) play a role in making generalizability difficult, but none completely explains the phenomenon. Furthermore, generalizability remains challenging because it is unclear whether to use a single source for accurate data, combine all sources into a single model, or apply domain adaptation methods. The most reliable means to improve negation detection is to manually annotate in-domain training data (or, perhaps, manually modify rules); this is a strategy for optimizing performance, rather than generalizing it. These results suggest a direction for future work in domain-adaptive and task-adaptive methods for clinical NLP. PMID:25393544

  17. Randomized clinical trials as reflexive-interpretative process in patients with rheumatoid arthritis: a qualitative study.

    PubMed

    de Jorge, Mercedes; Parra, Sonia; de la Torre-Aboki, Jenny; Herrero-Beaumont, Gabriel

    2015-08-01

    Patients in randomized clinical trials have to adapt themselves to a restricted language to capture the necessary information to determine the safety and efficacy of a new treatment. The aim of this study was to explore the experience of patients with rheumatoid arthritis after completing their participation in a biologic therapy randomized clinical trial for a period of 3 years. A qualitative approach was used. The information was collected using 15 semi-structured interviews of patients with rheumatoid arthritis. Data collection was guided by the emergent analysis until no more relevant variations in the categories were found. The data were analysed using the grounded theory method. The objective of the patients when entering the study was to improve their quality of life by initiating the treatment. However, the experience changed the significance of the illness as they acquired skills and practical knowledge related to the management of their disease. The category "Interactional Empowerment" emerged as core category, as it represented the participative experience in a clinical trial. The process integrates the follow categories: "weight of systematisation", "working together", and the significance of the experience: "the duties". Simultaneously these categories evolved. The clinical trial monitoring activities enabled patients to engage in a reflexive-interpretative mechanism that transformed the emotional and symbolic significance of their disease and improved the empowerment of the patient. A better communicative strategy with the health professionals, the relatives of the patients, and the community was also achieved. PMID:25636236

  18. The Prioritization of Clinical Risk Factors of Obstructive Sleep Apnea Severity Using Fuzzy Analytic Hierarchy Process

    PubMed Central

    Maranate, Thaya; Pongpullponsak, Adisak; Ruttanaumpawan, Pimon

    2015-01-01

    Recently, there has been a problem of shortage of sleep laboratories that can accommodate the patients in a timely manner. Delayed diagnosis and treatment may lead to worse outcomes particularly in patients with severe obstructive sleep apnea (OSA). For this reason, the prioritization in polysomnography (PSG) queueing should be endorsed based on disease severity. To date, there have been conflicting data whether clinical information can predict OSA severity. The 1,042 suspected OSA patients underwent diagnostic PSG study at Siriraj Sleep Center during 2010-2011. A total of 113 variables were obtained from sleep questionnaires and anthropometric measurements. The 19 groups of clinical risk factors consisting of 42 variables were categorized into each OSA severity. This study aimed to array these factors by employing Fuzzy Analytic Hierarchy Process approach based on normalized weight vector. The results revealed that the first rank of clinical risk factors in Severe, Moderate, Mild, and No OSA was nighttime symptoms. The overall sensitivity/specificity of the approach to these groups was 92.32%/91.76%, 89.52%/88.18%, 91.08%/84.58%, and 96.49%/81.23%, respectively. We propose that the urgent PSG appointment should include clinical risk factors of Severe OSA group. In addition, the screening for Mild from No OSA patients in sleep center setting using symptoms during sleep is also recommended (sensitivity = 87.12% and specificity = 72.22%). PMID:26221183

  19. Economic efficiency of countries' clinical review processes and competitiveness on the market of human experimentation.

    PubMed

    Ippoliti, Roberto

    2013-01-01

    Clinical research is a specific phase of pharmaceutical industry's production process in which companies test candidate drugs on patients to collect clinical evidence about safety and effectiveness. Information is essential to obtain manufacturing authorization from the national drug agency and, in this way, make profits on the market. Considering this activity, however, the public stakeholder has to face a conflict of interests. On the one side, there is society's necessity to make advances in medicine and, of course, to promote pharmaceutical companies' investments in this specific phase (new generation). On the other side, there is the duty to protect patients involved in these experimental treatments (old generation). To abide by this moral duty, a protection system was developed through the years, based on two legal institutions: informed consent and institutional review board. How should an efficient protection system that would take human experimentation into account be shaped? Would it be possible for the national protection system of patients' rights to affect the choice of whether to develop a clinical trial in a given country or not? Looking at Europe and considering a protection system that is shaped around institutional review boards, this article is an empirical work that tries to give answers to these open questions. It shows how a protection system that can minimize the time necessary to start a trial can positively affect pharmaceutical clinical research, that is, the choice of pharmaceutical companies to start innovative medical treatments in a given country. PMID:23337226

  20. Foraging search: Prototypical intelligence

    NASA Astrophysics Data System (ADS)

    Mobus, George

    2000-05-01

    We think because we eat. Or as Descartes might have said, on a little more reflection, "I need to eat, therefore I think." Animals that forage for a living repeatedly face the problem of searching for a sparsely distributed resource in a vast space. Furthermore, the resource may occur sporadically and episodically under conditions of true uncertainty (nonstationary, complex and non-linear dynamics). I assert that this problem is the canonical problem solved by intelligence. It's solution is the basis for the evolution of more advanced intelligence in which the space of search includes that of concepts (objects and relations) encoded in cortical structures. In humans the conscious experience of searching through concept space we call thinking. The foraging search model is based upon a higher-order autopoeitic system (the forager) employing anticipatory processing to enhance its success at finding food while avoiding becoming food or having accidents in a hostile world. I present a semi-formal description of the general foraging search problem and an approach to its solution. The latter is a brain-like structure employing dynamically adaptive neurons. A physical robot, MAVRIC, embodies some principles of foraging. It learns cues that lead to improvements in finding targets in a dynamic and nonstationary environment. This capability is based on a unique learning mechanism that encodes causal relations in the neural-like processing element. An argument is advanced that searching for resources in the physical world, as per the foraging model, is a prototype for generalized search for conceptual resources as when we think. A problem represents a conceptual disturbance in a homeostatic sense. The finding of a solution restores the homeostatic balance. The establishment of links between conceptual cues and solutions (resources) and the later use of those cues to think through to solutions of quasi-isomorphic problems is, essentially, foraging for ideas. It is a quite

  1. Cloudwave: distributed processing of "big data" from electrophysiological recordings for epilepsy clinical research using Hadoop.

    PubMed

    Jayapandian, Catherine P; Chen, Chien-Hung; Bozorgi, Alireza; Lhatoo, Samden D; Zhang, Guo-Qiang; Sahoo, Satya S

    2013-01-01

    Epilepsy is the most common serious neurological disorder affecting 50-60 million persons worldwide. Multi-modal electrophysiological data, such as electroencephalography (EEG) and electrocardiography (EKG), are central to effective patient care and clinical research in epilepsy. Electrophysiological data is an example of clinical "big data" consisting of more than 100 multi-channel signals with recordings from each patient generating 5-10GB of data. Current approaches to store and analyze signal data using standalone tools, such as Nihon Kohden neurology software, are inadequate to meet the growing volume of data and the need for supporting multi-center collaborative studies with real time and interactive access. We introduce the Cloudwave platform in this paper that features a Web-based intuitive signal analysis interface integrated with a Hadoop-based data processing module implemented on clinical data stored in a "private cloud". Cloudwave has been developed as part of the National Institute of Neurological Disorders and Strokes (NINDS) funded multi-center Prevention and Risk Identification of SUDEP Mortality (PRISM) project. The Cloudwave visualization interface provides real-time rendering of multi-modal signals with "montages" for EEG feature characterization over 2TB of patient data generated at the Case University Hospital Epilepsy Monitoring Unit. Results from performance evaluation of the Cloudwave Hadoop data processing module demonstrate one order of magnitude improvement in performance over 77GB of patient data. (Cloudwave project: http://prism.case.edu/prism/index.php/Cloudwave). PMID:24551370

  2. Intelligent Systems for Power Management and Distribution

    NASA Technical Reports Server (NTRS)

    Button, Robert M.

    2002-01-01

    The motivation behind an advanced technology program to develop intelligent power management and distribution (PMAD) systems is described. The program concentrates on developing digital control and distributed processing algorithms for PMAD components and systems to improve their size, weight, efficiency, and reliability. Specific areas of research in developing intelligent DC-DC converters and distributed switchgear are described. Results from recent development efforts are presented along with expected future benefits to the overall PMAD system performance.

  3. Intelligence as Developing Expertise.

    PubMed

    Sternberg

    1999-10-01

    This essay describes how intelligence can be viewed as developing expertise. The general conception of intelligence as developing expertise is described. Then research examples are given that, in conjunction, seem odd under traditional interpretations of abilities but that make sense as a whole in the context of the developing-expertise model. It is concluded that this new model offers potential for better understanding intelligence-related phenomena. Copyright 1999 Academic Press. PMID:10508532

  4. Nap sleep spindle correlates of intelligence

    PubMed Central

    Ujma, Péter P.; Bódizs, Róbert; Gombos, Ferenc; Stintzing, Johannes; Konrad, Boris N.; Genzel, Lisa; Steiger, Axel; Dresler, Martin

    2015-01-01

    Sleep spindles are thalamocortical oscillations in non-rapid eye movement (NREM) sleep, that play an important role in sleep-related neuroplasticity and offline information processing. Several studies with full-night sleep recordings have reported a positive association between sleep spindles and fluid intelligence scores, however more recently it has been shown that only few sleep spindle measures correlate with intelligence in females, and none in males. Sleep spindle regulation underlies a circadian rhythm, however the association between spindles and intelligence has not been investigated in daytime nap sleep so far. In a sample of 86 healthy male human subjects, we investigated the correlation between fluid intelligence and sleep spindle parameters in an afternoon nap of 100 minutes. Mean sleep spindle length, amplitude and density were computed for each subject and for each derivation for both slow and fast spindles. A positive association was found between intelligence and slow spindle duration, but not any other sleep spindle parameter. As a positive correlation between intelligence and slow sleep spindle duration in full-night polysomnography has only been reported in females but not males, our results suggest that the association between intelligence and sleep spindles is more complex than previously assumed. PMID:26607963

  5. Improving Intelligence Analysis With Decision Science.

    PubMed

    Dhami, Mandeep K; Mandel, David R; Mellers, Barbara A; Tetlock, Philip E

    2015-11-01

    Intelligence analysis plays a vital role in policy decision making. Key functions of intelligence analysis include accurately forecasting significant events, appropriately characterizing the uncertainties inherent in such forecasts, and effectively communicating those probabilistic forecasts to stakeholders. We review decision research on probabilistic forecasting and uncertainty communication, drawing attention to findings that could be used to reform intelligence processes and contribute to more effective intelligence oversight. We recommend that the intelligence community (IC) regularly and quantitatively monitor its forecasting accuracy to better understand how well it is achieving its functions. We also recommend that the IC use decision science to improve these functions (namely, forecasting and communication of intelligence estimates made under conditions of uncertainty). In the case of forecasting, decision research offers suggestions for improvement that involve interventions on data (e.g., transforming forecasts to debias them) and behavior (e.g., via selection, training, and effective team structuring). In the case of uncertainty communication, the literature suggests that current intelligence procedures, which emphasize the use of verbal probabilities, are ineffective. The IC should, therefore, leverage research that points to ways in which verbal probability use may be improved as well as exploring the use of numerical probabilities wherever feasible. PMID:26581731

  6. Interactive analysis of geodata based intelligence

    NASA Astrophysics Data System (ADS)

    Wagner, Boris; Eck, Ralf; Unmüessig, Gabriel; Peinsipp-Byma, Elisabeth

    2016-05-01

    When a spatiotemporal events happens, multi-source intelligence data is gathered to understand the problem, and strategies for solving the problem are investigated. The difficulties arising from handling spatial and temporal intelligence data represent the main problem. The map might be the bridge to visualize the data and to get the most understand model for all stakeholders. For the analysis of geodata based intelligence data, a software was developed as a working environment that combines geodata with optimized ergonomics. The interaction with the common operational picture (COP) is so essentially facilitated. The composition of the COP is based on geodata services, which are normalized by international standards of the Open Geospatial Consortium (OGC). The basic geodata are combined with intelligence data from images (IMINT) and humans (HUMINT), stored in a NATO Coalition Shared Data Server (CSD). These intelligence data can be combined with further information sources, i.e., live sensors. As a result a COP is generated and an interaction suitable for the specific workspace is added. This allows the users to work interactively with the COP, i.e., searching with an on board CSD client for suitable intelligence data and integrate them into the COP. Furthermore, users can enrich the scenario with findings out of the data of interactive live sensors and add data from other sources. This allows intelligence services to contribute effectively to the process by what military and disaster management are organized.

  7. Development of a novel imaging informatics-based system with an intelligent workflow engine (IWEIS) to support imaging-based clinical trials.

    PubMed

    Wang, Ximing; Liu, Brent J; Martinez, Clarisa; Zhang, Xuejun; Winstein, Carolee J

    2016-02-01

    Imaging based clinical trials can benefit from a solution to efficiently collect, analyze, and distribute multimedia data at various stages within the workflow. Currently, the data management needs of these trials are typically addressed with custom-built systems. However, software development of the custom-built systems for versatile workflows can be resource-consuming. To address these challenges, we present a system with a workflow engine for imaging based clinical trials. The system enables a project coordinator to build a data collection and management system specifically related to study protocol workflow without programming. Web Access to DICOM Objects (WADO) module with novel features is integrated to further facilitate imaging related study. The system was initially evaluated by an imaging based rehabilitation clinical trial. The evaluation shows that the cost of the development of system can be much reduced compared to the custom-built system. By providing a solution to customize a system and automate the workflow, the system will save on development time and reduce errors especially for imaging clinical trials. PMID:25870169

  8. Mothers' Daily Person and Process Praise: Implications for Children's Theory of Intelligence and Motivation: Brief Report

    ERIC Educational Resources Information Center

    Pomerantz, Eva M.; Kempner, Sara G.

    2013-01-01

    This research examined if mothers' day-to-day praise of children's success in school plays a role in children's theory of intelligence and motivation. Participants were 120 children (mean age = 10.23 years) and their mothers who took part in a 2-wave study spanning 6 months. During the first wave, mothers completed a 10-day daily…

  9. NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes.

    PubMed

    McEwan, Reed; Melton, Genevieve B; Knoll, Benjamin C; Wang, Yan; Hultman, Gretchen; Dale, Justin L; Meyer, Tim; Pakhomov, Serguei V

    2016-01-01

    Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We present architectural best practices as lessons learned in the design and implementation NLP-PIER (Patient Information Extraction for Research), a scalable, extensible, and secure system for processing, indexing, and searching clinical notes at the University of Minnesota. PMID:27570663

  10. NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes

    PubMed Central

    McEwan, Reed; Melton, Genevieve B.; Knoll, Benjamin C.; Wang, Yan; Hultman, Gretchen; Dale, Justin L.; Meyer, Tim; Pakhomov, Serguei V.

    2016-01-01

    Many design considerations must be addressed in order to provide researchers with full text and semantic search of unstructured healthcare data such as clinical notes and reports. Institutions looking at providing this functionality must also address the big data aspects of their unstructured corpora. Because these systems are complex and demand a non-trivial investment, there is an incentive to make the system capable of servicing future needs as well, further complicating the design. We present architectural best practices as lessons learned in the design and implementation NLP-PIER (Patient Information Extraction for Research), a scalable, extensible, and secure system for processing, indexing, and searching clinical notes at the University of Minnesota. PMID:27570663

  11. The default network and self-generated thought: component processes, dynamic control, and clinical relevance

    PubMed Central

    Andrews-Hanna, Jessica R.; Smallwood, Jonathan; Spreng, R. Nathan

    2014-01-01

    Though only a decade has elapsed since the default network was first emphasized as being a large-scale brain system, recent years have brought great insight into the network’s adaptive functions. A growing theme highlights the default network as playing a key role in internally-directed—or self-generated—thought. Here, we synthesize recent findings from cognitive science, neuroscience, and clinical psychology to focus attention on two emerging topics as current and future directions surrounding the default network. First, we present evidence that self-generated thought is a multi-faceted construct whose component processes are supported by different subsystems within the network. Second, we highlight the dynamic nature of the default network, emphasizing its interaction with executive control systems when regulating aspects of internal thought. We conclude by discussing clinical implications of disruptions to the integrity of the network, and consider disorders when thought content becomes polarized or network interactions become disrupted or imbalanced. PMID:24502540

  12. The search for intelligence

    NASA Astrophysics Data System (ADS)

    Coffey, E. J.

    1980-12-01

    Implications of current understandings of the nature of human intelligence for the possibility of extraterrestrial intelligence are discussed. The perceptual theory of intelligence as the manipulation of perceptual images rather than language is introduced, and conditions leading to the ascendancy of man over other hominids with similar conceptual abilities are discussed, including the liberation of the hands from a locomotive function and the evolution of neoteny. It is argued that the specificity of the environmental, behavioral and physiological conditions which lead to the emergence of technologically oriented, and communicative intelligent creatures suggests that any SETI would most likely be fruitless.

  13. Intelligence and childlessness.

    PubMed

    Kanazawa, Satoshi

    2014-11-01

    Demographers debate why people have children in advanced industrial societies where children are net economic costs. From an evolutionary perspective, however, the important question is why some individuals choose not to have children. Recent theoretical developments in evolutionary psychology suggest that more intelligent individuals may be more likely to prefer to remain childless than less intelligent individuals. Analyses of the National Child Development Study show that more intelligent men and women express preference to remain childless early in their reproductive careers, but only more intelligent women (not more intelligent men) are more likely to remain childless by the end of their reproductive careers. Controlling for education and earnings does not at all attenuate the association between childhood general intelligence and lifetime childlessness among women. One-standard-deviation increase in childhood general intelligence (15 IQ points) decreases women's odds of parenthood by 21-25%. Because women have a greater impact on the average intelligence of future generations, the dysgenic fertility among women is predicted to lead to a decline in the average intelligence of the population in advanced industrial nations. PMID:25131282

  14. Blindness in designing intelligent systems

    NASA Technical Reports Server (NTRS)

    Denning, Peter J.

    1988-01-01

    New investigations of the foundations of artificial intelligence are challenging the hypothesis that problem solving is the cornerstone of intelligence. New distinctions among three domains of concern for humans--description, action, and commitment--have revealed that the design process for programmable machines, such as expert systems, is based on descriptions of actions and induces blindness to nonanalytic action and commitment. Design processes focusing in the domain of description are likely to yield programs like burearcracies: rigid, obtuse, impersonal, and unable to adapt to changing circumstances. Systems that learn from their past actions, and systems that organize information for interpretation by human experts, are more likely to be successful in areas where expert systems have failed.

  15. Process of care and prescribing practices for hypertension in public and private primary care clinics in Malaysia.

    PubMed

    Tong, Seng Fah; Khoo, Ee Ming; Nordin, Saleh; Teng, Cheong-Lieng; Lee, Verna Kar Mun; Zailinawati, Abu Hassan; Chen, Wei Seng; Mimi, Omar

    2012-09-01

    This study aimed to compare the process of care and the choice of antihypertensive medications used in both public and private primary care clinics in Malaysia. A cross-sectional survey was completed in 2008 on randomly selected 100 public health clinics and 114 private primary care clinics in Malaysia. A total of 4076 patient records, 3753 (92.1%) from public clinics and 323 (7.9%) from private clinics were analyzed. Less than 80% of the records documented the recommended clinical and laboratory assessments. The rates of documentation for smoking status, family history of premature death, retinal assessment, and urine albumin tests were lower in public clinics. Overall, 21% of the prescription practices were less than optimal. The process of care and the use of antihypertensive medications were not satisfactory in both settings. PMID:21659332

  16. The role of tau in the pathological process and clinical expression of Huntington’s disease

    PubMed Central

    Vuono, Romina; Winder-Rhodes, Sophie; de Silva, Rohan; Cisbani, Giulia; Drouin-Ouellet, Janelle; Spillantini, Maria G.; Cicchetti, Francesca

    2015-01-01

    Huntington’s disease is a neurodegenerative disorder caused by an abnormal CAG repeat expansion within exon 1 of the huntingtin gene HTT. While several genetic modifiers, distinct from the Huntington’s disease locus itself, have been identified as being linked to the clinical expression and progression of Huntington’s disease, the exact molecular mechanisms driving its pathogenic cascade and clinical features, especially the dementia, are not fully understood. Recently the microtubule associated protein tau, MAPT, which is associated with several neurodegenerative disorders, has been implicated in Huntington’s disease. We explored this association in more detail at the neuropathological, genetic and clinical level. We first investigated tau pathology by looking for the presence of hyperphosphorylated tau aggregates, co-localization of tau with mutant HTT and its oligomeric intermediates in post-mortem brain samples from patients with Huntington’s disease (n = 16) compared to cases with a known tauopathy and healthy controls. Next, we undertook a genotype–phenotype analysis of a large cohort of patients with Huntington’s disease (n = 960) with a particular focus on cognitive decline. We report not only on the tau pathology in the Huntington’s disease brain but also the association between genetic variation in tau gene and the clinical expression and progression of the disease. We found extensive pathological inclusions containing abnormally phosphorylated tau protein that co-localized in some instances with mutant HTT. We confirmed this related to the disease process rather than age, by showing it is also present in two patients with young-onset Huntington’s disease (26 and 40 years old at death). In addition we demonstrate that tau oligomers (suggested to be the most likely neurotoxic tau entity) are present in the Huntington’s disease brains. Finally we highlight the clinical significance of this pathology by demonstrating that the MAPT

  17. Intelligent System for Radiogram Analysis

    NASA Astrophysics Data System (ADS)

    Sikora, R.; Chady, T.; Baniukiewicz, P.; Łopato, P.; Napierała, L.; Pietrusewicz, T.; Psuj, G.; Piekarczyk, B.

    2011-06-01

    In this paper we present a concept for an Intelligent System for Radiogram Analysis (ISAR) for welds quality inspection. Both, hardware and software solutions have been introduced in the system. The software operates with variety of scanner standards. It contains preliminary image processing (linear and nonlinear filtering algorithms) and some specialized functions, like Sauvola's tresholding or IQI detection. The aim of the ISAR system is to support a radiologist in his work.

  18. Clinical, information and business process modeling to promote development of safe and flexible software.

    PubMed

    Liaw, Siaw-Teng; Deveny, Elizabeth; Morrison, Iain; Lewis, Bryn

    2006-09-01

    Using a factorial vignette survey and modeling methodology, we developed clinical and information models - incorporating evidence base, key concepts, relevant terms, decision-making and workflow needed to practice safely and effectively - to guide the development of an integrated rule-based knowledge module to support prescribing decisions in asthma. We identified workflows, decision-making factors, factor use, and clinician information requirements. The Unified Modeling Language (UML) and public domain software and knowledge engineering tools (e.g. Protégé) were used, with the Australian GP Data Model as the starting point for expressing information needs. A Web Services service-oriented architecture approach was adopted within which to express functional needs, and clinical processes and workflows were expressed in the Business Process Execution Language (BPEL). This formal analysis and modeling methodology to define and capture the process and logic of prescribing best practice in a reference implementation is fundamental to tackling deficiencies in prescribing decision support software. PMID:17023408

  19. Immunological and clinical significance of HLA class I antigen processing machinery component defects in malignant cells.

    PubMed

    Concha-Benavente, Fernando; Srivastava, Raghvendra; Ferrone, Soldano; Ferris, Robert L

    2016-07-01

    Experimental as well as clinical studies demonstrate that the immune system plays a major role in controlling generation and progression of tumors. The cancer immunoediting theory supports the notion that tumor cell immunogenicity is dynamically shaped by the immune system, as it eliminates immunogenic tumor cells in the early stage of the disease and then edits their antigenicity. The end result is the generation of a tumor cell population able to escape from immune recognition and elimination by tumor infiltrating lymphocytes. Two major mechanisms, which affect the target cells and the effector phase of the immune response, play a crucial role in the editing process. One is represented by the downregulation of tumor antigen (TA) processing and presentation because of abnormalities in the HLA class I antigen processing machinery (APM). The other one is represented by the anergy of effector immune infiltrates in the tumor microenvironment caused by aberrant inhibitory signals triggered by immune checkpoint receptor (ICR) ligands, such as programmed death ligand-1 (PD-L1). In this review, we will focus on tumor immune escape mechanisms caused by defects in HLA class I APM component expression and/or function in different types of cancer, with emphasis on head and neck cancer (HNC). We will also discuss the immunological implications and clinical relevance of these HLA class I APM abnormalities. Finally, we will describe strategies to counteract defective TA presentation with the expectation that they will enhance tumor recognition and elimination by tumor infiltrating effector T cells. PMID:27264839

  20. Intelligent Sensors: An Integrated Systems Approach

    NASA Technical Reports Server (NTRS)

    Mahajan, Ajay; Chitikeshi, Sanjeevi; Bandhil, Pavan; Utterbach, Lucas; Figueroa, Fernando

    2005-01-01

    The need for intelligent sensors as a critical component for Integrated System Health Management (ISHM) is fairly well recognized by now. Even the definition of what constitutes an intelligent sensor (or smart sensor) is well documented and stems from an intuitive desire to get the best quality measurement data that forms the basis of any complex health monitoring and/or management system. If the sensors, i.e. the elements closest to the measurand, are unreliable then the whole system works with a tremendous handicap. Hence, there has always been a desire to distribute intelligence down to the sensor level, and give it the ability to assess its own health thereby improving the confidence in the quality of the data at all times. This paper proposes the development of intelligent sensors as an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the NASA Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Intelligent Systems Health Monitoring (ISHM) vision. This paper outlines some fundamental issues in the development of intelligent sensors under the following two categories: Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS).