NLP

DEFF Research Database (Denmark)

Krogsdal, Iben

2007-01-01

Artiklen søger at problematisere forståelsen af terapiformen NLP (Neuro Linguistisk Programmering) som fremelsker af selvstyrende individer. Den viser, hvordan NLP - gennem sin underliggende fortælling om det autentiske menneske som ideal - fordrer et fortsat selvudviklingarbejde via terapeutisk ...

NLP as a communication strategy tool in libraries

Science.gov (United States)

Koulouris, Alexandros; Sakas, Damianos P.; Giannakopoulos, Georgios

2015-02-01

The role of communication is a catalyst for the proper function of an organization. This paper focuses on libraries, where the communication is crucial for their success. In our opinion, libraries in Greece are suffering from the lack of communication and marketing strategy. Communication has many forms and manifestations. A key aspect of communication is body language, which has a dominant communication tool the neuro-linguistic programming (NLP). The body language is a system that expresses and transfers messages, thoughts and emotions. More and more organizations in the public sector and companies in the private sector base their success on the communication skills of their personnel. The NLP suggests several methods to obtain excellent relations in the workplace and to develop ideal communication. The NLP theory is mainly based on the development of standards (communication model) that guarantees the expected results. This research was conducted and analyzed in two parts, the qualitative and the quantitative. The findings mainly confirm the need for proper communication within libraries. In the qualitative research, the interviewees were aware of communication issues, although some gaps in that knowledge were observed. Even this slightly lack of knowledge, highlights the need for constant information through educational programs. This is particularly necessary for senior executives of libraries, who should attend relevant seminars and refresh their knowledge on communication related issues.

Teaching Assistants, Neuro-Linguistic Programming (NLP) and Special Educational Needs: "Reframing" the Learning Experience for Students with Mild SEN

Science.gov (United States)

Kudliskis, Voldis

2014-01-01

This study examines how an understanding of two NLP concepts, the meta-model of language and the implementation of reframing, could be used to help teaching assistants enhance class-based interactions with students with mild SEN. Participants (students) completed a pre-intervention and a post-intervention "Beliefs About my Learning…

Speaker recognition through NLP and CWT modeling.

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, A.; Kercel, S. W.; Tucker, R. W.

1999-06-23

The objective of this research is to develop a system capable of identifying speakers on wiretaps from a large database (>500 speakers) with a short search time duration (<30 seconds), and with better than 90% accuracy. Much previous research in speaker recognition has led to algorithms that produced encouraging preliminary results, but were overwhelmed when applied to populations of more than a dozen or so different speakers. The authors are investigating a solution to the ''huge population'' problem by seeking two completely different kinds of characterizing features. These features are extracted using the techniques of Neuro-Linguistic Programming (NLP) and the continuous wavelet transform (CWT). NLP extracts precise neurological, verbal and non-verbal information, and assimilates the information into useful patterns. These patterns are based on specific cues demonstrated by each individual, and provide ways of determining congruency between verbal and non-verbal cues. The primary NLP modalities are characterized through word spotting (or verbal predicates cues, e.g., see, sound, feel, etc.) while the secondary modalities would be characterized through the speech transcription used by the individual. This has the practical effect of reducing the size of the search space, and greatly speeding up the process of identifying an unknown speaker. The wavelet-based line of investigation concentrates on using vowel phonemes and non-verbal cues, such as tempo. The rationale for concentrating on vowels is there are a limited number of vowels phonemes, and at least one of them usually appears in even the shortest of speech segments. Using the fast, CWT algorithm, the details of both the formant frequency and the glottal excitation characteristics can be easily extracted from voice waveforms. The differences in the glottal excitation waveforms as well as the formant frequency are evident in the CWT output. More significantly, the CWT reveals significant

Mõisteid ja meetodeid kaasaegsetes pedagoogilistes süsteemides

Index Scriptorium Estoniae

1999-01-01

Mõistete multiintelligentsus ja NLP - Neuro-Linguistic Programming tähendusest]; emotsionaalne intelligentsus : [mõiste emotsionaalne intelligentsus tähendusest]; konvergentne ja divergentne mõtlemine - inimese mõtlemisprotsessi 2 külge : [mõistete konvergentne ja divergentne mõtlemine tähendusest

PROPOSAL FOR NEURAL-LINGUISTIC PROGRAMMING (N.L.P. INTHE ADMINISTRATIVE DEVELOPMENT OF LEADERSHIP SPORTS

Directory of Open Access Journals (Sweden)

Khalil Samira

2010-08-01

Full Text Available Neural-linguistic programming is an organised method to know the human self construction and dealing with it in fixed means and styles so as to decesisively affect the processes of perception, thinking, imaging, ideas,feeling and also in behavior, skills and the human body and mental performance (1 Neural-linguistic programming has a private nature because it is a group of mechanisms and practicaltechniques far from likeliness, so it enters in the circle of application and employment of the human abilities and possibilities. (9 Al Fiky (2001 points out that neural linguistic programming created the favourable environment to help individuals to get rid of their diseased fears and controlling in their negative reactions and thus improving communication with themselves and with others. He shows it took its way into the human life fields because itsways and strategies are used in the sectors of health, education, marketing and administration(2. The modern administration embarks on the human element that represents the most valuable elementsof administration and is the most effective on the productivity and with the increasing the effect of the human element in the efficacy of the administrative organizations, the need increased to consider the management of the human resources as an independent function of administrative functions that cancers the human element and onwhose efficiency, abilities, experience and zeal for work, the administration efficacy depends.

What Makes a Good Educator? The Relevance of Meta Programmes

Science.gov (United States)

Brown, Nigel

2004-01-01

This paper reports the results of a qualitative study which explores the relevance of meta programmes to students' perceptions of teaching quality. Meta programmes are a model of personality preferences from the discipline of Neuro Linguistic Programming (NLP). Research into teaching effectiveness indicates that students rate as important "hygiene…

Visual imagery and the user model applied to fuel handling at EBR-II

International Nuclear Information System (INIS)

Brown-VanHoozer, S.A.

1995-01-01

The material presented in this paper is based on two studies involving visual display designs and the user's perspective model of a system. The studies involved a methodology known as Neuro-Linguistic Programming (NLP), and its use in expanding design choices which included the ''comfort parameters'' and ''perspective reality'' of the user's model of the world. (author)

A different approach to designing visual displays and workstations

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A.

1995-06-01

The material presented in this paper is based on two studies involving the design of visual displays based on the user`s perspective model of a system. The studies involve a methodology known as Neuro-Linguistic Programming (NLP), and its use in expanding design choices from the user`s ``model of the world,`` and the use of virtual reality.

Neuro-Linguistic Programming and Learning: Teacher Case Studies on the Impact of NLP in Education

Science.gov (United States)

Carey, John; Churches, Richard; Hutchinson, Geraldine; Jones, Jeff; Tosey, Paul

2010-01-01

This research paper reports on evidence from 24 teacher-led action research case studies and builds on the 2008 CfBT Education Trust published paper by Richard Churches and John West-Burnham "Leading learning through relationships: the implications of Neurolinguistic programming for personalisation and the children's agenda in England".…

Neuro-Linguistic Programming: Improving Rapport between Track/Cross Country Coaches and Significant Others

Science.gov (United States)

Helm, David Jay

2017-01-01

This study examines the background information and the components of N.L.P., being eye movements, use of predicates, and posturing, as they apply to improving rapport and empathy between track/cross country coaches and their significant others in the arena of competition to help alleviate the inherent stressors.

Validation of Eye Movements Model of NLP through Stressed Recalls.

Science.gov (United States)

Sandhu, Daya S.

Neurolinguistic Progamming (NLP) has emerged as a new approach to counseling and psychotherapy. Though not to be confused with computer programming, NLP does claim to program, deprogram, and reprogram clients' behaviors with the precision and expedition akin to computer processes. It is as a tool for therapeutic communication that NLP has rapidly…

Using NLP meta, Milton, metaphor models, for improving the activity of the organization

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Cornel Marian IOSIF

2010-12-01

Full Text Available The objective of this paper is the improving of the three methods from the neuro- linguistic programming – metaphor, Milton model and the meta-model, so by using this in daily activities by an organization to improve the activities witch, are performed and to have a more efficient allocation of the available resources.

DE and NLP Based QPLS Algorithm

Science.gov (United States)

Yu, Xiaodong; Huang, Dexian; Wang, Xiong; Liu, Bo

As a novel evolutionary computing technique, Differential Evolution (DE) has been considered to be an effective optimization method for complex optimization problems, and achieved many successful applications in engineering. In this paper, a new algorithm of Quadratic Partial Least Squares (QPLS) based on Nonlinear Programming (NLP) is presented. And DE is used to solve the NLP so as to calculate the optimal input weights and the parameters of inner relationship. The simulation results based on the soft measurement of diesel oil solidifying point on a real crude distillation unit demonstrate that the superiority of the proposed algorithm to linear PLS and QPLS which is based on Sequential Quadratic Programming (SQP) in terms of fitting accuracy and computational costs.

Do HCI and NLP Interact?

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Karamanis, N.; Schneider, A.; van der Sluis, Ielka; Schlogl, S.; Doherty, G.; Luz, S.

2009-01-01

We examine the relationship between HCI and Natural Language Processing (NLP) by performing a bibliometric analysis and looking at the specific example of BioNLP. We identify opportunities for HCI to fertilise current NLP research and suggest that HCI will benefit from looking at advances in NLP

The bumper bundle book of modelling NLP modelling made simple

CERN Document Server

Burgess, Fran

2014-01-01

A Neurolinguistic Programming textbook which focusses on the core activity of NLP - modelling. It covers the thinking behind NLP modelling, presents an extensive range of modelling methodologies and skills, offers applications of modelling, and provides specific details for model and technique construction.

Spanish translation and linguistic validation of the quality of life in neurological disorders (Neuro-QoL) measurement system.

Science.gov (United States)

Correia, H; Pérez, B; Arnold, B; Wong, Alex W K; Lai, J S; Kallen, M; Cella, D

2015-03-01

The quality of life in neurological disorders (Neuro-QoL) measurement system is a 470-item compilation of health-related quality of life domains for adults and children with neurological disorders. It was developed and cognitively debriefed in English and Spanish, with general population and clinical samples in the USA. This paper describes the Spanish translation and linguistic validation process. The translation methodology combined forward and back-translations, multiple reviews, and cognitive debriefing with 30 adult and 30 pediatric Spanish-speaking respondents in the USA. The adult Fatigue bank was later also tested in Spain and Argentina. A universal approach to translation was adopted to produce a Spanish version that can be used in various countries. Translators from several countries were involved in the process. Cognitive debriefing results indicated that most of the 470 Spanish items were well understood. Translations were revised as needed where difficulty was reported or where participants' comments revealed misunderstanding of an item's intended meaning. Additional testing of the universal Spanish adult Fatigue item bank in Spain and Argentina confirmed good understanding of the items and that no country-specific word changes were necessary. All the adult and pediatric Neuro-QoL measures have been linguistically validated with Spanish speakers in the USA. Instruments are available for use at www.assessmentcenter.net.

Logic Programming for Linguistics

DEFF Research Database (Denmark)

Christiansen, Henning

2010-01-01

This article gives a short introduction on how to get started with logic pro- gramming in Prolog that does not require any previous programming expe- rience. The presentation is aimed at students of linguistics, but it does not go deeper into linguistics than any student who has some ideas of what...

Developing safer systems in a NPP environment using the operator`s comfort parameters and virtual reality

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A.

1995-07-01

The contents of this paper is based on two studies involving the design of visual displays from the operator`s point of view, and the utilization of virtual reality for operations, training and maintenance repairs. The studies involve a methodology known as Neuro-Linguistic Programming (NLP), and its use in strengthening design choices from the user`s perspective model of the environment. The contents of this paper focuses on the results which may be implemented in nuclear power plants for the purpose of providing systems which are less inherently error prone.

The Importance of the Brain Neuro-Programming Technologies in National and Regional Security

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Vasyl H. Fatkhutdinov

2018-02-01

Full Text Available The authors’ understanding of neuro-programming is the result of the impact on the human brain of information and communication technology (including educational one, through which in the human brain the programs of manifestation in the ontogenesis of internal creative potentials are written. This article summarizes the history of the formation of key neuro-programming technologies of the human brain as well as proves that the changes in the society’s worldview are caused by the possibilities and quality of neuro-programming technologies that society uses. Having influence over worldview stereotypes and behaviour set by the society, neuro-programming technologies essentially ensure the national security of any state and the peaceful coexistence of states in the regions and on the planet as a whole. Using historical and philosophical methods, methods of conceptualization, systematization, modeling, etc., the authors have come to the conclusion that the modern world lies in a confrontation of security strategies, in which neuro-programming technologies play a key role.

GENERAL ASPECTS OF NLP IN TEACHING LANGUAGES

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Clementina Niţă

2011-11-01

Full Text Available This article is focus on NLP as a tool helping to improve personal excellence in teaching languages. NLP states that learning begins in the students’ frame of reference and thus, it is important for teachers to increase their interpersonal skills and ability to recognize it. A map of how language operates is drawn by the Meta Model - a tool for a fuller understanding of what people say -, which deals with the concepts of surface structure and deep structure. The meta programs deal with deletions, distortions and generalisations which appear in language during communication. Establish rapport is a helpful method to create favourable teaching atmosphere and humanising teaching is a way to improve students’ performance.

Bibliography of Literature on Neuro-Linguistic Programming.

Science.gov (United States)

McCormick, Donald W.

Two bibliographies on neurolinguistic programming are updates of an earlier literature review by the same compiler. The two lists contain citations of over 160 books, research reports, dissertations, journal articles, audio and video recordings, and research projects in progress on aspects of neurolinguistic programming. Appended notes suggest…

Predicate Matching in NLP: A Review of Research on the Preferred Representational System.

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Sharpley, Christopher F.

1984-01-01

Reviews 15 studies that have investigated the use of the Preferred Representational System (PRS) in Neurolinguistic Programming (NLP). Aspects of design, methodology, population and dependent measures are evaluated, with comments on the outcomes obtained. Results suggested that there is little supportive evidence for the use of PRS in the NLP.…

THE MODEL OF MANAGEMENT OF THE INTERNAL MARKETING OF HIGHER EDUCATION INSTITUTE

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Yuliya Viktorovna Naurazbaeva

2015-12-01

Full Text Available The main purpose of the research is the development of methods and models of management of the internal marketing of a higher education institute based on complex approach that includes strategic management methods and staff marketing and also technologies of Neuro-Linguistic Programming (NLP.Method or methodology of the research. Adapted models and methods of Neuro-Linguistic Programming, strategic management and marketing to management of marketing of the university which are presented as a complex of models that are reveling through the interrelation «external labor-market – higher education institute – internal labor-market».Results:1. The mechanism of management of the internal marketing of higher education institute based on the interrelation «external labor – market – higher education institute – internal labor-market» is offered that assumes solving problem of miscomparison between market conditions, university’s opportunities and demands of an employee of this educational institute.2. Methodical bases of formation of NLP-model that coordinates the requirements of labor collective as internal consumers of the educational service and needs of higher education institute in order to provide high quality services at all stages of creation and realization of an educational service are developed.3. The infological model of construction and choosing the strategy of the internal marketing of educational institute is presented.Practical implications. The received results can be used in practical management of higher education institute when forming the strategy of the internal marketing taking into account the specific features of concrete university.

Neuro-Linguistic Programming: Enhancing Teacher-Student Communications.

Science.gov (United States)

Childers, John H., Jr.

1985-01-01

Defines Neurolinguistic Programming (NCP) and discusses specific dimensions of the model that have applications for classroom teaching. Describes five representational systems individuals use to process information and gives examples of effective and ineffective teacher-student communication for each system. (MCF)

Linguistic fundamentals for natural language processing 100 essentials from morphology and syntax

CERN Document Server

Bender, Emily M

2013-01-01

Many NLP tasks have at their core a subtask of extracting the dependencies-who did what to whom-from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual a

Visual imagery and the user model applied to fuel handling at EBR-II

International Nuclear Information System (INIS)

Brown-VanHoozer, S.A.

1995-01-01

The material presented in this paper is based on two studies involving visual display designs and the user's perspective model of a system. The studies involved a methodology known as Neuro-Linguistic Programming (NLP), and its use in expanding design choices which included the ''comfort parameters'' and ''perspective reality'' of the user's model of the world. In developing visual displays for the EBR-II fuel handling system, the focus would be to incorporate the comfort parameters that overlap from each of the representation systems: visual, auditory and kinesthetic then incorporate the comfort parameters of the most prominent group of the population, and last, blend in the other two representational system comfort parameters. The focus of this informal study was to use the techniques of meta-modeling and synesthesia to develop a virtual environment that closely resembled the operator's perspective of the fuel handling system of Argonne's Experimental Breeder Reactor - II. An informal study was conducted using NLP as the behavioral model in a v reality (VR) setting

Neurolinguistic Programming: A Systematic Approach to Change

Science.gov (United States)

Steinbach, A. M.

1984-01-01

Neurolinguistic programming (NLP) integrates advances in cybernetics, psychophysiology, linguistics, and information services. It has been used in business, education, law, medicine and psychotherapy to alter people's responses to stimuli, so they are better able to regulate their environment and themselves. There are five steps to an effective NLP interaction. They include 1. establishing rapport; the therapist must match his verbal and non-verbal behaviors to the patient's, 2. gathering information about the patient's present problem and goals by noting his verbal patterns and non-verbal responses, 3. considering the impact that achieving the patient's goals will have on him, his work, family and friends, and retaining any positive aspects of his current situation, 4. helping the patient achieve his goals by using specific techniques to alter his responses to various stimuli, and 5. ensuring the altered responses achieved in therapy are integrated into the patient's daily life. NLP has been used to help patients with medical problems ranging from purely psychological to complex organic ones. PMID:21283502

Neurolinguistic programming: a systematic approach to change.

Science.gov (United States)

Steinbach, A M

1984-01-01

Neurolinguistic programming (NLP) integrates advances in cybernetics, psychophysiology, linguistics, and information services. It has been used in business, education, law, medicine and psychotherapy to alter people's responses to stimuli, so they are better able to regulate their environment and themselves. There are five steps to an effective NLP interaction. They include 1. establishing rapport; the therapist must match his verbal and non-verbal behaviors to the patient's, 2. gathering information about the patient's present problem and goals by noting his verbal patterns and non-verbal responses, 3. considering the impact that achieving the patient's goals will have on him, his work, family and friends, and retaining any positive aspects of his current situation, 4. helping the patient achieve his goals by using specific techniques to alter his responses to various stimuli, and 5. ensuring the altered responses achieved in therapy are integrated into the patient's daily life. NLP has been used to help patients with medical problems ranging from purely psychological to complex organic ones.

A Description Of Space Relations In An NLP Model: The ABBYY Compreno Approach

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Aleksey Leontyev

2015-12-01

Full Text Available The current paper is devoted to a formal analysis of the space category and, especially, to questions bound with the presentation of space relations in a formal NLP model. The aim is to demonstrate how linguistic and cognitive problems relating to spatial categorization, definition of spatial entities, and the expression of different locative senses in natural languages can be solved in an artificial intelligence system. We offer a description of the locative groups in the ABBYY Compreno formalism – an integral NLP framework applied for machine translation, semantic search, fact extraction, and other tasks based on the semantic analysis of texts. The model is based on a universal semantic hierarchy of the thesaurus type and includes a description of all possible semantic and syntactic links every word can attach. In this work we define the set of semantic locative relations between words, suggest different tools for their syntactic presentation, give formal restrictions for the word classes that can denote spaces, and show different strategies of dealing with locative prepositions, especially as far as the problem of their machine translation is concerned.

Optimization of a gas turbine in the methanol process, using the NLP model

International Nuclear Information System (INIS)

Kralj, Anita Kovac; Glavic, Peter

2007-01-01

Heat and power integration can reduce fuel usage, CO 2 and SO 2 emissions and, thereby, pollution. In the simultaneous heat and power integration approach and including additional production, the optimization problem is formulated using a simplified process superstructure. Nonlinear programming (NLP) contains equations which enable structural heat and power integration and parametric optimization. In the present work, the NLP model is formulated as an optimum energy target of process integration and electricity generation using a gas turbine with a separator. The reactor acts as a combustion chamber of the gas turbine plant, producing high temperature. The simultaneous NLP approach can account for capital cost, integration of combined heat and power, process modification, and additional production trade-offs accurately, and can thus yield a better solution. It gives better results than non-simultaneous methods. The NLP model does not guarantee a global cost optimum, but it does lead to good, perhaps near optimum designs. This approach is illustrated by an existing, complex methanol production process. The objective function generates a possible increase in annual profit of 1.7 MEUR/a

NEURO-FUZZY MODELING APPLIED IN PROGRAM MANAGEMENT TO INCREASE LOCAL PUBLIC ADMINISTRATION PERFORMANCE

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Adrian-Mihai Zaharia-Radulescu

2016-07-01

Full Text Available One of the challenges in local public administration is dealing with an increasing number of competing requests coming from the communities they serve. The traditional approach would be to handle each request as a standalone project and be prioritized according to benefits and budget available. More and more nowadays program management is becoming a standard approach in managing the initiatives of local public administration. Program management approach is itself an enabler for performance in public sector organizations by allowing an organization to better coordinate its efforts and resources in managing a portfolio of projects. This paper aims to present how neuro-fuzzy modeling applied in program management can help an organization to increase its performance. Neuro-fuzzy modeling would lead organizations one step further by allowing them to simulate different scenarios and manage better the risks accompanying their initiatives. The research done by the authors is theoretical and combines knowledge from different areas and a neuro-fuzzy model is proposed and discussed.

Neuro-Oncology Branch

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... BTTC are experts in their respective fields. Neuro-Oncology Clinical Fellowship This is a joint program with ... can increase survival rates. Learn more... The Neuro-Oncology Branch welcomes Dr. Mark Gilbert as new Branch ...

Visual imagery and the user model applied to fuel handling at EBR-II

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A.

1995-06-01

The material presented in this paper is based on two studies involving visual display designs and the user`s perspective model of a system. The studies involved a methodology known as Neuro-Linguistic Programming (NLP), and its use in expanding design choices which included the ``comfort parameters`` and ``perspective reality`` of the user`s model of the world. In developing visual displays for the EBR-II fuel handling system, the focus would be to incorporate the comfort parameters that overlap from each of the representation systems: visual, auditory and kinesthetic then incorporate the comfort parameters of the most prominent group of the population, and last, blend in the other two representational system comfort parameters. The focus of this informal study was to use the techniques of meta-modeling and synesthesia to develop a virtual environment that closely resembled the operator`s perspective of the fuel handling system of Argonne`s Experimental Breeder Reactor - II. An informal study was conducted using NLP as the behavioral model in a v reality (VR) setting.

Mathematical Approaches to Cognitive Linguistics

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Chuluundorj Begz

2013-05-01

Full Text Available Cognitive linguistics, neuro-cognitive and psychological analysis of human verbal cognition present important area of multidisciplinary research. Mathematical methods and models have been introduced in number of publications with increasing attention to these theories. In this paper we have described some possible applications of mathematical methods to cognitive linguistics. Human verbal perception and verbal mapping deal with dissipative mental structures and symmetric/asymmetric relationships between objects of perception and deep (also surface structures of language. In that’s way methods of tensor analysis are ambitious candidate to be applied to analysis of human verbal thinking and mental space.

Neuro-Linguistic Programming: Eye Movements as Indicators of Representational Systems.

Science.gov (United States)

1984-09-01

Elizabeth A. Beck, "Test of the Eye Movement Hypothesis of Neurolinguistic Programing : A Rebuttal of Conclu- sions," Perceptual and Motor Skills, 58: 175...Meta Publications, 1980. 64 .. .] .! S ~ ~ ~ ~ 1 - ----. 14. Maron, Davida, " Neurolinguistic Programming : The Answer to Change? Training and Development... Neurolinguistic Programming ," Perceptual and Motor Skills, 51: 230 (April 1980). 65 VITA Captain William H. Moore was born on 22 October 1949. He

The Effects of Clinical Hypnosis versus Neurolinguistic Programming (NLP before External Cephalic Version (ECV: A Prospective Off-Centre Randomised, Double-Blind, Controlled Trial

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Joscha Reinhard

2012-01-01

Full Text Available Objective. To examine the effects of clinical hypnosis versus NLP intervention on the success rate of ECV procedures in comparison to a control group. Methods. A prospective off-centre randomised trial of a clinical hypnosis intervention against NLP of women with a singleton breech fetus at or after 370/7 (259 days weeks of gestation and normal amniotic fluid index. All 80 participants heard a 20-minute recorded intervention via head phones. Main outcome assessed was success rate of ECV. The intervention groups were compared with a control group with standard medical care alone (=122. Results. A total of 42 women, who received a hypnosis intervention prior to ECV, had a 40.5% (=17, successful ECV, whereas 38 women, who received NLP, had a 44.7% (=17 successful ECV (>0.05. The control group had similar patient characteristics compared to the intervention groups (>0.05. In the control group (=122 27.3% (=33 had a statistically significant lower successful ECV procedure than NLP (=0.05 and hypnosis and NLP (=0.03. Conclusions. These findings suggest that prior clinical hypnosis and NLP have similar success rates of ECV procedures and are both superior to standard medical care alone.

The Effects of Clinical Hypnosis versus Neurolinguistic Programming (NLP) before External Cephalic Version (ECV): A Prospective Off-Centre Randomised, Double-Blind, Controlled Trial.

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Reinhard, Joscha; Peiffer, Swati; Sänger, Nicole; Herrmann, Eva; Yuan, Juping; Louwen, Frank

2012-01-01

Objective. To examine the effects of clinical hypnosis versus NLP intervention on the success rate of ECV procedures in comparison to a control group. Methods. A prospective off-centre randomised trial of a clinical hypnosis intervention against NLP of women with a singleton breech fetus at or after 37(0/7) (259 days) weeks of gestation and normal amniotic fluid index. All 80 participants heard a 20-minute recorded intervention via head phones. Main outcome assessed was success rate of ECV. The intervention groups were compared with a control group with standard medical care alone (n = 122). Results. A total of 42 women, who received a hypnosis intervention prior to ECV, had a 40.5% (n = 17), successful ECV, whereas 38 women, who received NLP, had a 44.7% (n = 17) successful ECV (P > 0.05). The control group had similar patient characteristics compared to the intervention groups (P > 0.05). In the control group (n = 122) 27.3% (n = 33) had a statistically significant lower successful ECV procedure than NLP (P = 0.05) and hypnosis and NLP (P = 0.03). Conclusions. These findings suggest that prior clinical hypnosis and NLP have similar success rates of ECV procedures and are both superior to standard medical care alone.

Robo-Sensei's NLP-Based Error Detection and Feedback Generation

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Nagata, Noriko

2009-01-01

This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…

Designing visual displays and system models for safe reactor operations based on the user's perspective of the system

International Nuclear Information System (INIS)

Brown-VanHoozer, S.A.

1995-01-01

Most designers are not schooled in the area of human-interaction psychology and therefore tend to rely on the traditional ergonomic aspects of human factors when designing complex human-interactive workstations related to reactor operations. They do not take into account the differences in user information processing behavior and how these behaviors may affect individual and team performance when accessing visual displays or utilizing system models in process and control room areas. Unfortunately, by ignoring the importance of the integration of the user interface at the information process level, the result can be sub-optimization and inherently error- and failure-prone systems. Therefore, to minimize or eliminate failures in human-interactive systems, it is essential that the designers understand how each user's processing characteristics affects how the user gathers information, and how the user communicates the information to the designer and other users. A different type of approach in achieving this understanding is Neuro Linguistic Programming (NLP). The material presented in this paper is based on two studies involving the design of visual displays, NLP, and the user's perspective model of a reactor system. The studies involve the methodology known as NLP, and its use in expanding design choices from the user's ''model of the world,'' in the areas of virtual reality, workstation design, team structure, decision and learning style patterns, safety operations, pattern recognition, and much, much more

Neuro-Linguistics Programming: Developing Effective Communication in the Classroom.

Science.gov (United States)

Torres, Cresencio; Katz, Judy H.

1983-01-01

Students and teachers experience the world primarily through visual, kinesthetic, or auditory representational systems. If teachers are aware of their own favored system and those of their students, classroom communication will improve. Neurolinguistic programing can help teachers become more effective communicators. (PP)

Contribution of NLP to the Content Indexing of Multimedia Documents

NARCIS (Netherlands)

Declerck, T.; Enser, P.; Saggion, H.; Kompatsiaris, Y.; Kuper, Jan; O' Connor, N.E.; Samiotou, A.; Wittenburg, P.; Contreras, J.

2004-01-01

This paper describes the role natural language processing (NLP) can play for multimedia applications. As an example of such an application, we present an approach dealing with the conceptual indexing of soccer videos which the help of structured information automatically extracted by NLP tools from

Language and the Brain. Cambridge Approaches to Linguistics.

Science.gov (United States)

Obler, Loraine K.; Gjerlow, Kris

This book examines how the brain enables people to speak creatively and build up an understanding of language. The discussion looks at the linguistic and neuro-anatomical underpinnings of language and considers how language skills can systematically break down in individuals with different types of brain damage. By studying children with language…

NLP model and stochastic multi-start optimization approach for heat exchanger networks

International Nuclear Information System (INIS)

Núñez-Serna, Rosa I.; Zamora, Juan M.

2016-01-01

Highlights: • An NLP model for the optimal design of heat exchanger networks is proposed. • The NLP model is developed from a stage-wise grid diagram representation. • A two-phase stochastic multi-start optimization methodology is utilized. • Improved network designs are obtained with different heat load distributions. • Structural changes and reductions in the number of heat exchangers are produced. - Abstract: Heat exchanger network synthesis methodologies frequently identify good network structures, which nevertheless, might be accompanied by suboptimal values of design variables. The objective of this work is to develop a nonlinear programming (NLP) model and an optimization approach that aim at identifying the best values for intermediate temperatures, sub-stream flow rate fractions, heat loads and areas for a given heat exchanger network topology. The NLP model that minimizes the total annual cost of the network is constructed based on a stage-wise grid diagram representation. To improve the possibilities of obtaining global optimal designs, a two-phase stochastic multi-start optimization algorithm is utilized for the solution of the developed model. The effectiveness of the proposed optimization approach is illustrated with the optimization of two network designs proposed in the literature for two well-known benchmark problems. Results show that from the addressed base network topologies it is possible to achieve improved network designs, with redistributions in exchanger heat loads that lead to reductions in total annual costs. The results also show that the optimization of a given network design sometimes leads to structural simplifications and reductions in the total number of heat exchangers of the network, thereby exposing alternative viable network topologies initially not anticipated.

Expression of Caenorhabditis elegans antimicrobial peptide NLP-31 in Escherichia coli

Science.gov (United States)

Lim, Mei-Perng; Nathan, Sheila

2014-09-01

Burkholderia pseudomallei is the causative agent of melioidosis, a fulminant disease endemic in Southeast Asia and Northern Australia. The standardized form of therapy is antibiotics treatment; however, the bacterium has become increasingly resistant to these antibiotics. This has spurred the need to search for alternative therapeutic agents. Antimicrobial peptides (AMPs) are small proteins that possess broad-spectrum antimicrobial activity. In a previous study, the nematode Caenorhabditis elegans was infected by B. pseudomallei and a whole animal transcriptome analysis identified a number of AMP-encoded genes which were induced significantly in the infected worms. One of the AMPs identified is NLP-31 and to date, there are no reports of anti-B. pseudomallei activity demonstrated by NLP-31. To produce NLP-31 protein for future studies, the gene encoding for NLP-31 was cloned into the pET32b expression vector and transformed into Escherichia coli BL21(DE3). Protein expression was induced with 1 mM IPTG for 20 hours at 20°C and recombinant NLP-31 was detected in the soluble fraction. Taken together, a simple optimized heterologous production of AMPs in an E. coli expression system has been successfully developed.

Parallelization of Neural Network Training for NLP with Hogwild!

Directory of Open Access Journals (Sweden)

Deyringer Valentin

2017-10-01

Full Text Available Neural Networks are prevalent in todays NLP research. Despite their success for different tasks, training time is relatively long. We use Hogwild! to counteract this phenomenon and show that it is a suitable method to speed up training Neural Networks of different architectures and complexity. For POS tagging and translation we report considerable speedups of training, especially for the latter. We show that Hogwild! can be an important tool for training complex NLP architectures.

Designing visual displays and system models for safe reactor operations based on the user`s perspective of the system

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A.

1995-12-31

Most designers are not schooled in the area of human-interaction psychology and therefore tend to rely on the traditional ergonomic aspects of human factors when designing complex human-interactive workstations related to reactor operations. They do not take into account the differences in user information processing behavior and how these behaviors may affect individual and team performance when accessing visual displays or utilizing system models in process and control room areas. Unfortunately, by ignoring the importance of the integration of the user interface at the information process level, the result can be sub-optimization and inherently error- and failure-prone systems. Therefore, to minimize or eliminate failures in human-interactive systems, it is essential that the designers understand how each user`s processing characteristics affects how the user gathers information, and how the user communicates the information to the designer and other users. A different type of approach in achieving this understanding is Neuro Linguistic Programming (NLP). The material presented in this paper is based on two studies involving the design of visual displays, NLP, and the user`s perspective model of a reactor system. The studies involve the methodology known as NLP, and its use in expanding design choices from the user`s ``model of the world,`` in the areas of virtual reality, workstation design, team structure, decision and learning style patterns, safety operations, pattern recognition, and much, much more.

Discovery of nitrate-CPK-NLP signalling in central nutrient-growth networks

Science.gov (United States)

Liu, Kun-hsiang; Niu, Yajie; Konishi, Mineko; Wu, Yue; Du, Hao; Sun Chung, Hoo; Li, Lei; Boudsocq, Marie; McCormack, Matthew; Maekawa, Shugo; Ishida, Tetsuya; Zhang, Chao; Shokat, Kevan; Yanagisawa, Shuichi; Sheen, Jen

2018-01-01

Nutrient signalling integrates and coordinates gene expression, metabolism and growth. However, its primary molecular mechanisms remain incompletely understood in plants and animals. Here we report novel Ca2+ signalling triggered by nitrate with live imaging of an ultrasensitive biosensor in Arabidopsis leaves and roots. A nitrate-sensitized and targeted functional genomic screen identifies subgroup III Ca2+-sensor protein kinases (CPKs) as master regulators orchestrating primary nitrate responses. A chemical switch with the engineered CPK10(M141G) kinase enables conditional analyses of cpk10,30,32 to define comprehensive nitrate-associated regulatory and developmental programs, circumventing embryo lethality. Nitrate-CPK signalling phosphorylates conserved NIN-LIKE PROTEIN (NLP) transcription factors (TFs) to specify reprogramming of gene sets for downstream TFs, transporters, N-assimilation, C/N-metabolism, redox, signalling, hormones, and proliferation. Conditional cpk10,30,32 and nlp7 similarly impair nitrate-stimulated system-wide shoot growth and root establishment. The nutrient-coupled Ca2+ signalling network integrates transcriptome and cellular metabolism with shoot-root coordination and developmental plasticity in shaping organ biomass and architecture. PMID:28489820

The NlpD lipoprotein is a novel Yersinia pestis virulence factor essential for the development of plague.

Directory of Open Access Journals (Sweden)

Avital Tidhar

Full Text Available Yersinia pestis is the causative agent of plague. Previously we have isolated an attenuated Y. pestis transposon insertion mutant in which the pcm gene was disrupted. In the present study, we investigated the expression and the role of pcm locus genes in Y. pestis pathogenesis using a set of isogenic surE, pcm, nlpD and rpoS mutants of the fully virulent Kimberley53 strain. We show that in Y. pestis, nlpD expression is controlled from elements residing within the upstream genes surE and pcm. The NlpD lipoprotein is the only factor encoded from the pcm locus that is essential for Y. pestis virulence. A chromosomal deletion of the nlpD gene sequence resulted in a drastic reduction in virulence to an LD(50 of at least 10(7 cfu for subcutaneous and airway routes of infection. The mutant was unable to colonize mouse organs following infection. The filamented morphology of the nlpD mutant indicates that NlpD is involved in cell separation; however, deletion of nlpD did not affect in vitro growth rate. Trans-complementation experiments with the Y. pestis nlpD gene restored virulence and all other phenotypic defects. Finally, we demonstrated that subcutaneous administration of the nlpD mutant could protect animals against bubonic and primary pneumonic plague. Taken together, these results demonstrate that Y. pestis NlpD is a novel virulence factor essential for the development of bubonic and pneumonic plague. Further, the nlpD mutant is superior to the EV76 prototype live vaccine strain in immunogenicity and in conferring effective protective immunity. Thus it could serve as a basis for a very potent live vaccine against bubonic and pneumonic plague.

Looking at Yourself through Loving Eyes.

Science.gov (United States)

Childers, John H., Jr.

1989-01-01

Introduces and discusses Neuro-Linquistic Programming (NLP) using "Looking at Yourself through Loving Eyes" technique. Presents the seven steps necessary in implementing this technique, and provides guidelines. Presents results suggesting that this technique is useful when working with elementary school students, and is a useful tool for…

Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways.

Science.gov (United States)

Mitsos, Alexander; Melas, Ioannis N; Morris, Melody K; Saez-Rodriguez, Julio; Lauffenburger, Douglas A; Alexopoulos, Leonidas G

2012-01-01

Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how signals propagate from one protein to the next and have led to the construction of models that simulate the cells response to environmental or other perturbations. Constrained fuzzy logic was recently introduced to train models to cell specific data to result in quantitative pathway models of the specific cellular behavior. There are two major issues in this pathway optimization: i) excessive CPU time requirements and ii) loosely constrained optimization problem due to lack of data with respect to large signaling pathways. Herein, we address both issues: the former by reformulating the pathway optimization as a regular nonlinear optimization problem; and the latter by enhanced algorithms to pre/post-process the signaling network to remove parts that cannot be identified given the experimental conditions. As a case study, we tackle the construction of cell type specific pathways in normal and transformed hepatocytes using medium and large-scale functional phosphoproteomic datasets. The proposed Non Linear Programming (NLP) formulation allows for fast optimization of signaling topologies by combining the versatile nature of logic modeling with state of the art optimization algorithms.

Non Linear Programming (NLP formulation for quantitative modeling of protein signal transduction pathways.

Directory of Open Access Journals (Sweden)

Alexander Mitsos

Full Text Available Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how signals propagate from one protein to the next and have led to the construction of models that simulate the cells response to environmental or other perturbations. Constrained fuzzy logic was recently introduced to train models to cell specific data to result in quantitative pathway models of the specific cellular behavior. There are two major issues in this pathway optimization: i excessive CPU time requirements and ii loosely constrained optimization problem due to lack of data with respect to large signaling pathways. Herein, we address both issues: the former by reformulating the pathway optimization as a regular nonlinear optimization problem; and the latter by enhanced algorithms to pre/post-process the signaling network to remove parts that cannot be identified given the experimental conditions. As a case study, we tackle the construction of cell type specific pathways in normal and transformed hepatocytes using medium and large-scale functional phosphoproteomic datasets. The proposed Non Linear Programming (NLP formulation allows for fast optimization of signaling topologies by combining the versatile nature of logic modeling with state of the art optimization algorithms.

NLP pielietošana angļu valodas mācīšanā

OpenAIRE

Gorohova, Diāna

2011-01-01

Neirolingvistiskās programmēšana (NLP) praktiķu aprindās tiek uzskatīta par ļoti efektīvu instrumentu visdažādākajās dzīves sfēras. Šī pieeja ļauj cilvēkiem ticēt saviem spēkiem padarīt viņu dzīves labākas. Tieši tāpēc NLP piekritēji uzskata, ka, NLP pieeju izmantošana angļu valodas mācīšanā, var uzlabot skolēnu angļu valodas zināšanas, kā arī paaugstināt viņu pašapziņu. Šī bakalaura darba autore piedāvā ieskatu NLP vēsturiskajā attīstībā un apskata tās pamatprincipus. Autore analizē NLP t...

Neuro-fuzzy models for systems identification applied to the operation of nuclear power plants; Sistemas neuro-fuzzy para identificacao de sistemas aplicados a operacao de centrais nucleares

Energy Technology Data Exchange (ETDEWEB)

Alves, Antonio Carlos Pinto Dias

2000-09-01

A nuclear power plant has a myriad of complex system and sub-systems that, working cooperatively, make the control of the whole plant. Nevertheless their operation be automatic most of the time, the integral understanding of their internal- logic can be away of the comprehension of even experienced operators because of the poor interpretability those controls offer. This difficulty does not happens only in nuclear power plants but in almost every a little more complex control system. Neuro-fuzzy models have been used for the last years in a attempt of suppress these difficulties because of their ability of modelling in linguist form even a system which behavior is extremely complex. This is a very intuitive human form of interpretation and neuro-fuzzy model are gathering increasing acceptance. Unfortunately, neuro-fuzzy models can grow up to become of hard interpretation because of the complexity of the systems under modelling. In general, that growing occurs in function of redundant rules or rules that cover a very little domain of the problem. This work presents an identification method for neuro-fuzzy models that not only allows models grow in function of the existent complexity but that beforehand they try to self-adapt to avoid the inclusion of new rules. This form of construction allowed to arrive to highly interpretative neuro-fuzzy models even of very complex systems. The use of this kind of technique in modelling the control of the pressurizer of a PWR nuclear power plant allowed verify its validity and how neuro-fuzzy models so built can be useful in understanding the automatic operation of a nuclear power plant. (author)

Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.

Science.gov (United States)

Carter, Marjorie E; Divita, Guy; Redd, Andrew; Rubin, Michael A; Samore, Matthew H; Gupta, Kalpana; Trautner, Barbara W; Gundlapalli, Adi V

2016-01-01

Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary catheters from electronic medical notes to aid in detection of catheter-associated urinary tract infections (CAUTI). Finding clear evidence that a patient does not have an indwelling urinary catheter is useful in making a determination regarding CAUTI. We developed a lexicon of seven core concepts to infer the absence of a urinary catheter. Of the 990,391 concepts extractedby NLP from a large corpus of 744,285 electronic medical notes from 5589 hospitalized patients, 63,516 were labeled as evidence of absence.Human review revealed three primary causes for false negatives. The lexicon and NLP pipeline were refined using this information, resulting in outputs with an acceptable false positive rate of 11%.

Quantum field theory and the linguistic Minimalist Program: a remarkable isomorphism

Science.gov (United States)

Piattelli-Palmarini, M.; Vitiello, G.

2017-08-01

By resorting to recent results, we show that an isomorphism exist between linguistic features of the Minimalist Program and the quantum field theory formalism of condensed matter physics. Specific linguistic features which admit a representation in terms of the many-body algebraic formalism are the unconstrained nature of recursive Merge, the operation of the Labeling Algorithm, the difference between pronounced and un-pronounced copies of elements in a sentence and the build-up of the Fibonacci sequence in the syntactic derivation of sentence structures. The collective dynamical nature of the formation process of Logical Forms leading to the individuation of the manifold of concepts and the computational self-consistency of languages are also discussed.

Translational research in NeuroAIDS: a neuroimmune pharmacology-related course.

Science.gov (United States)

Brown, Amanda; Shiramizu, Bruce; Nath, Avindra; Wojna, Valerie

2011-03-01

Neuroimmune pharmacology (NIP) can be considered a multidisciplinary science where areas of neuroscience, immunology, and pharmacology intersect in neurological disorders. The R25 training program titled "Translational Research in NeuroAIDS and Mental Health (TR-NAMH): An innovative mentoring program to promote diversity in NeuroAIDS Research (R25 MH080661)" at the Johns Hopkins University is a web-based interactive course with the goal to improve the capacity of high quality research by developing mentoring programs for (1) doctoral and postdoctoral candidates and junior faculty from racial and ethnic minorities and (2) non-minority individuals at the same levels, whose research focuses on NeuroAIDS disparity issues such as HIV-associated neurocognitive disorders (HAND). This web-based interactive course overcomes the limitations of traditional education such as access to expert faculty and financial burden of scientists from racial and ethnic minority groups in the field of NeuroAIDS research and NIP and identifies rich nurturing environments for investigators to support their careers. The TR-NAMH program identifies a cadre of talented students and investigators eager to commit to innovative educational and training sessions in NeuroAIDS and NIP. The interplay between NIP changes precipitated by HIV infection in the brain makes the study of HAND an outstanding way to integrate important concepts from these two fields. The course includes activities besides those related to didactic learning such as research training and long-term mentoring; hence, the newly learned topics in NIP are continually reinforced and implemented in real-time experiences. We describe how NIP is integrated in the TR-NAMH program in the context of HAND.

Investigating the Effects of Repeated Reading and NLP : Language Patterns on Reading Rate

OpenAIRE

Ben, Backwell; Brian, Cullen

2018-01-01

This paper investigates EFL student reading speed and describes a quasi-experimental study that attempted to quantify the effects of repeated reading and the use of NLP language patterns in the instructions. An experimental group (n=30) and a control group (n=30) carried out the same timed reading activity three times each lesson for five lessons. The instructions for the experimental group included NLP language patterns designed to promote faster reading. It was shown that the repeated readi...

Neuro-fuzzy models for systems identification applied to the operation of nuclear power plants

International Nuclear Information System (INIS)

Alves, Antonio Carlos Pinto Dias

2000-09-01

A nuclear power plant has a myriad of complex system and sub-systems that, working cooperatively, make the control of the whole plant. Nevertheless their operation be automatic most of the time, the integral understanding of their internal- logic can be away of the comprehension of even experienced operators because of the poor interpretability those controls offer. This difficulty does not happens only in nuclear power plants but in almost every a little more complex control system. Neuro-fuzzy models have been used for the last years in a attempt of suppress these difficulties because of their ability of modelling in linguist form even a system which behavior is extremely complex. This is a very intuitive human form of interpretation and neuro-fuzzy model are gathering increasing acceptance. Unfortunately, neuro-fuzzy models can grow up to become of hard interpretation because of the complexity of the systems under modelling. In general, that growing occurs in function of redundant rules or rules that cover a very little domain of the problem. This work presents an identification method for neuro-fuzzy models that not only allows models grow in function of the existent complexity but that beforehand they try to self-adapt to avoid the inclusion of new rules. This form of construction allowed to arrive to highly interpretative neuro-fuzzy models even of very complex systems. The use of this kind of technique in modelling the control of the pressurizer of a PWR nuclear power plant allowed verify its validity and how neuro-fuzzy models so built can be useful in understanding the automatic operation of a nuclear power plant. (author)

Neurolinguistic Programming in the Context of Group Counseling.

Science.gov (United States)

Childers, John H. Jr.; Saltmarsh, Robert E.

1986-01-01

Describes neurolinguistic programming (NLP) in the context of group counseling. NLP is a model of communication that focuses on verbal and nonverbal patterns of behaviors as well as on the structures and processes of human subjectivity. Five stages of group development are described, and specific NLP techniques appropriate to the various stages…

Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals.

Science.gov (United States)

Connolly, Brian; Matykiewicz, Pawel; Bretonnel Cohen, K; Standridge, Shannon M; Glauser, Tracy A; Dlugos, Dennis J; Koh, Susan; Tham, Eric; Pestian, John

2014-01-01

The constant progress in computational linguistic methods provides amazing opportunities for discovering information in clinical text and enables the clinical scientist to explore novel approaches to care. However, these new approaches need evaluation. We describe an automated system to compare descriptions of epilepsy patients at three different organizations: Cincinnati Children's Hospital, the Children's Hospital Colorado, and the Children's Hospital of Philadelphia. To our knowledge, there have been no similar previous studies. In this work, a support vector machine (SVM)-based natural language processing (NLP) algorithm is trained to classify epilepsy progress notes as belonging to a patient with a specific type of epilepsy from a particular hospital. The same SVM is then used to classify notes from another hospital. Our null hypothesis is that an NLP algorithm cannot be trained using epilepsy-specific notes from one hospital and subsequently used to classify notes from another hospital better than a random baseline classifier. The hypothesis is tested using epilepsy progress notes from the three hospitals. We are able to reject the null hypothesis at the 95% level. It is also found that classification was improved by including notes from a second hospital in the SVM training sample. With a reasonably uniform epilepsy vocabulary and an NLP-based algorithm able to use this uniformity to classify epilepsy progress notes across different hospitals, we can pursue automated comparisons of patient conditions, treatments, and diagnoses across different healthcare settings. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Neuro-Linguistic Programming for Leaders and Managers

OpenAIRE

Tosey, Paul

2010-01-01

On few occasions in the history of modern management have leadership skills been in such sharp focus as they are now. The ability to direct often very large and diverse organizations; to make sense of the complex and turbulent markets and environments in which you operate; and to adapt and learn seems at an all time premium. The premise behind the fifth edition of this influential Handbook is that leadership, management and organizational development are all parts of the same process; enhanci...

Translational Research in NeuroAIDS: A Neuroimmune Pharmacology-Related Course

OpenAIRE

Brown, Amanda; Shiramizu, Bruce; Nath, Avindra; Wojna, Valerie

2010-01-01

Neuroimmune pharmacology (NIP) can be considered a multidisciplinary science where areas of neuroscience, immunology, and pharmacology intersect in neurological disorders. The R25 training program titled “Translational Research in NeuroAIDS and Mental Health (TR-NAMH): An innovative mentoring program to promote diversity in NeuroAIDS Research (R25 MH080661)” at the Johns Hopkins University is a web-based interactive course with the goal to improve the capacity of high quality research by deve...

Effect of escitalopram combined neuro-linguistic programming treatment on cognitive function in patients with somatoform disorders%艾司西酞普兰合并身心语法程序治疗对躯体形式障碍患者认知功能的影响

Institute of Scientific and Technical Information of China (English)

谢国军; 徐彩霞; 李晓玲; 罗伟森; 赵长江; 黎雪松

2013-01-01

Objective To investigate the effect of escitalopram combined neuro-linguistic programming treatment(NLP) on cognitive function in patients with somatoform disorders.Methods 120 cases with somatoform disorders were randomly divided into the escitalopram monotherapy group and escitalopram with NLP combined group,with 60 cases in each group for six weeks.At baseline and after six weeks for treatment,it was respectively assessed that the efficacy using Symptom Checklist 90 and Global Assessment Function,and cognitive function using the Raven Standard Progressive Matrices Test,digit span and digit symbol tests in Adult Wechsler Intelligence Test,while event related potentials P300 were detected.60 cases normal healthy adults as controls.Results Compared with the control group,the Raven scores,digit span,digit symbol scores were lower (P ＜0.01),N1,P3 latent periods were longer (P ＜ 0.01 or ＜ 0.05),N1N2,N2P2,P2P3 amplitudes were less(P =0.00) in patients with somatoform disorders.After treatment,Raven scores(91.25 ± 14.87,95.60 ± 19.95),digit span scores (11.98 ± 1.89,10.90 ± 2.76),digit symbol scores (11.71 ± 2.89,11.92 ± 2.90),N2P2 amplitudes ((11.32 ± 6.67) μV,(13.39 ± 9.31) μV),P2P3 amplitudes ((9.04 ± 6.14) μV,(9.51 ± 7.17) μV) increased,N2 latent periods ((240.60 ± 41.41) ms,(238.31 ± 41.47) ms) prolonged,N1 latent periods shortened (P ＜ 0.05 or 0.01) in the monotherapy group and the combined group.The digit span,P2 latent periods,N1N2,N2P2,P2P3 amplitudes had statistically significant differences between monotherapy group and combined group after treatment(P ＜ 0.05 or 0.01).Conclusion Both escitalopram monotherapy and escitalopram combined NLP have improved cognitive function in patients with somatoform disorders,but combined therapy has more prominent advantage.%目的 探讨艾司西酞普兰合并身心语法程序(NLP)治疗对躯体形式障碍患者认知功能的影响.方法 120�

The Economic and Clinical Impact of Sustained Use of a Progressive Mobility Program in a Neuro-ICU.

Science.gov (United States)

Hester, Jeannette M; Guin, Peggy R; Danek, Gale D; Thomas, Jaime R; Titsworth, William L; Reed, Richard K; Vasilopoulos, Terrie; Fahy, Brenda G

2017-06-01

To investigate a progressive mobility program in a neurocritical care population with the hypothesis that the benefits and outcomes of the program (e.g., decreased length of stay) would have a significant positive economic impact. Retrospective analysis of economic and clinical outcome data before, immediately following, and 2 years after implementation of the Progressive Upright Mobility Protocol Plus program (UF Health Shands Hospital, Gainesville, FL) involving a series of planned movements in a sequential manner with an additional six levels of rehabilitation in the neuro-ICU at UF Health Shands Hospital. Thirty-bed neuro-ICU in an academic medical center. Adult neurologic and neurosurgical patients: 1,118 patients in the pre period, 731 patients in the post period, and 796 patients in the sustained period. Implementation of Progressive Upright Mobility Protocol Plus. ICU length of stay decreased from 6.5 to 5.8 days in the immediate post period and 5.9 days in the sustained period (F(2,2641) = 3.1; p = 0.045). Hospital length of stay was reduced from 11.3 ± 14.1 days to 8.6 ± 8.8 post days and 8.8 ± 9.3 days sustained (F(2,2641) = 13.0; p mobility program in the neurocritical care population has clinical and financial benefits associated with its implementation and should be considered.

Now comes the time to defuzzify neuro-fuzzy models

International Nuclear Information System (INIS)

Bersini, H.; Bontempi, G.

1996-01-01

Fuzzy models present a singular Janus-faced : on one hand, they are knowledge-based software environments constructed from a collection of linguistic IF-THEN rules, and on the other hand, they realize nonlinear mappings which have interesting mathematical properties like low-order interpolation and universal function approximation. Neuro-fuzzy basically provides fuzzy models with the capacity, based on the available data, to compensate for the missing human knowledge by an automatic self-tuning of the structure and the parameters. A first consequence of this hybridization between the architectural and representational aspect of fuzzy models and the learning mechanisms of neural networks has been to progressively increase and fuzzify the contrast between the two Janus faces: readability or performance

A natural language processing program effectively extracts key pathologic findings from radical prostatectomy reports.

Science.gov (United States)

Kim, Brian J; Merchant, Madhur; Zheng, Chengyi; Thomas, Anil A; Contreras, Richard; Jacobsen, Steven J; Chien, Gary W

2014-12-01

Natural language processing (NLP) software programs have been widely developed to transform complex free text into simplified organized data. Potential applications in the field of medicine include automated report summaries, physician alerts, patient repositories, electronic medical record (EMR) billing, and quality metric reports. Despite these prospects and the recent widespread adoption of EMR, NLP has been relatively underutilized. The objective of this study was to evaluate the performance of an internally developed NLP program in extracting select pathologic findings from radical prostatectomy specimen reports in the EMR. An NLP program was generated by a software engineer to extract key variables from prostatectomy reports in the EMR within our healthcare system, which included the TNM stage, Gleason grade, presence of a tertiary Gleason pattern, histologic subtype, size of dominant tumor nodule, seminal vesicle invasion (SVI), perineural invasion (PNI), angiolymphatic invasion (ALI), extracapsular extension (ECE), and surgical margin status (SMS). The program was validated by comparing NLP results to a gold standard compiled by two blinded manual reviewers for 100 random pathology reports. NLP demonstrated 100% accuracy for identifying the Gleason grade, presence of a tertiary Gleason pattern, SVI, ALI, and ECE. It also demonstrated near-perfect accuracy for extracting histologic subtype (99.0%), PNI (98.9%), TNM stage (98.0%), SMS (97.0%), and dominant tumor size (95.7%). The overall accuracy of NLP was 98.7%. NLP generated a result in report. This novel program demonstrated high accuracy and efficiency identifying key pathologic details from the prostatectomy report within an EMR system. NLP has the potential to assist urologists by summarizing and highlighting relevant information from verbose pathology reports. It may also facilitate future urologic research through the rapid and automated creation of large databases.

Closed-loop, multichannel experimentation using the open-source NeuroRighter electrophysiology platform

Directory of Open Access Journals (Sweden)

Jonathan Paul Newman

2013-01-01

Full Text Available Single neuron feedback control techniques, such as voltage clamp and dynamic clamp, have enabled numerous advances in our understanding of ion channels, electrochemical signaling, and neural dynamics. Although commercially available multichannel recording and stimulation systems are commonly used for studying neural processing at the network level, they provide little native support for real-time feedback. We developed the open-source NeuroRighter multichannel electrophysiology hardware and software platform for closed-loop multichannel control with a focus on accessibility and low cost. NeuroRighter allows 64 channels of stimulation and recording for around US $10,000, along with the ability to integrate with other software and hardware. Here, we present substantial enhancements to the NeuroRighter platform, including a redesigned desktop application, a new stimulation subsystem allowing arbitrary stimulation patterns, low-latency data servers for accessing data streams, and a new application programming interface (API for creating closed-loop protocols that can be inserted into NeuroRighter as plugin programs. This greatly simplifies the design of sophisticated real-time experiments without sacrificing the power and speed of a compiled programming language. Here we present a detailed description of NeuroRighter as a stand alone application, its plugin API, and an extensive set of case studies that highlight the system's abilities for conducting closed-loop, multichannel interfacing experiments.

Reconciliation of ontology and terminology to cope with linguistics.

Science.gov (United States)

Baud, Robert H; Ceusters, Werner; Ruch, Patrick; Rassinoux, Anne-Marie; Lovis, Christian; Geissbühler, Antoine

2007-01-01

To discuss the relationships between ontologies, terminologies and language in the context of Natural Language Processing (NLP) applications in order to show the negative consequences of confusing them. The viewpoints of the terminologist and (computational) linguist are developed separately, and then compared, leading to the presentation of reconciliation among these points of view, with consideration of the role of the ontologist. In order to encourage appropriate usage of terminologies, guidelines are presented advocating the simultaneous publication of pragmatic vocabularies supported by terminological material based on adequate ontological analysis. Ontologies, terminologies and natural languages each have their own purpose. Ontologies support machine understanding, natural languages support human communication, and terminologies should form the bridge between them. Therefore, future terminology standards should be based on sound ontology and do justice to the diversities in natural languages. Moreover, they should support local vocabularies, in order to be easily adaptable to local needs and practices.

Australia and New Zealand Applied Linguistics (ANZAL): Taking Stock

Science.gov (United States)

Kleinsasser, Robert C.

2004-01-01

This paper reviews some emerging trends in applied linguistics in both Australia and New Zealand. It sketches the current scene of (selected) postgraduate applied linguistics programs in higher education and considers how various university programs define applied linguistics through the classes (titles) they have postgraduate students complete to…

Mathematics and linguistics

Energy Technology Data Exchange (ETDEWEB)

Landauer, C.; Bellman, K.L.

1996-12-31

In this paper, we study foundational issues that we believe will help us develop a theoretically sound approach to constructing complex systems. The two theoretical approaches that have helped us understand and develop computational systems in the past are mathematics and linguistics. We describe some differences and strengths of the approaches, and propose a research program to combine the richness of linguistic reasoning with the precision of mathematics.

Neuro-ophthalmology as a career.

Science.gov (United States)

Spitze, Arielle; Al-Zubidi, Nagham; Lam, Peter; Yalamanchili, Sushma; Lee, Andrew G

2014-10-01

This essay was written to discuss the reasoning behind the personal decisions made by 2 current neuro-ophthalmology fellows to pursue neuro-ophthalmology as a career. It is meant to enlighten the reader about what role neuro-ophthalmologists play in clinical practice, what makes neuro-ophthalmology unique to all other sub-specialties, and how this contributes to making neuro-ophthalmology not only one of the most medically interesting, yet rewarding sub-specialties in ophthalmology.

Validation of Linguistic and Communicative Oral Language Tests for Spanish-English Bilingual Programs.

Science.gov (United States)

Politzer, Robert L.; And Others

1983-01-01

The development, administration, and scoring of a communicative test and its validation with tests of linguistic and sociolinguistic competence in English and Spanish are reported. Correlation with measures of home language use and school achievement are also presented, and issues of test validation for bilingual programs are discussed. (MSE)

Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media

OpenAIRE

Bhargava, Preeti; Spasojevic, Nemanja; Hu, Guoning

2017-01-01

In this paper, we describe the Lithium Natural Language Processing (NLP) system - a resource-constrained, high- throughput and language-agnostic system for information extraction from noisy user generated text on social media. Lithium NLP extracts a rich set of information including entities, topics, hashtags and sentiment from text. We discuss several real world applications of the system currently incorporated in Lithium products. We also compare our system with existing commercial and acad...

Neuro-fuzzy modeling in bankruptcy prediction

Directory of Open Access Journals (Sweden)

Vlachos D.

2003-01-01

Full Text Available For the past 30 years the problem of bankruptcy prediction had been thoroughly studied. From the paper of Altman in 1968 to the recent papers in the '90s, the progress of prediction accuracy was not satisfactory. This paper investigates an alternative modeling of the system (firm, combining neural networks and fuzzy controllers, i.e. using neuro-fuzzy models. Classical modeling is based on mathematical models that describe the behavior of the firm under consideration. The main idea of fuzzy control, on the other hand, is to build a model of a human control expert who is capable of controlling the process without thinking in a mathematical model. This control expert specifies his control action in the form of linguistic rules. These control rules are translated into the framework of fuzzy set theory providing a calculus, which can stimulate the behavior of the control expert and enhance its performance. The accuracy of the model is studied using datasets from previous research papers.

NLP and the Humanities: The Revival of an Old Liaison

NARCIS (Netherlands)

de Jong, Franciska M.G.

This paper presents an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Humanities and discusses the role and nature of metadata, the annotation layer that is so characteristic of documents that play a role in the scholarly practises of the

Neurolinguistic Programming Examined: Imagery, Sensory Mode, and Communication.

Science.gov (United States)

Fromme, Donald K.; Daniell, Jennifer

1984-01-01

Tested Neurolinguistic Programming (NLP) assumptions by examining intercorrelations among response times of students (N=64) for extracting visual, auditory, and kinesthetic information from alphabetic images. Large positive intercorrelations were obtained, the only outcome not compatible with NLP. Good visualizers were significantly better in…

Comparison between genetic fuzzy system and neuro fuzzy system to select oil wells for hydraulic fracturing; Comparacao entre genetic fuzzy system e neuro fuzzy system para selecao de pocos de petroleo para fraturamento hidraulico

Energy Technology Data Exchange (ETDEWEB)

Castro, Antonio Orestes de Salvo [PETROBRAS, Rio de Janeiro, RJ (Brazil); Ferreira Filho, Virgilio Jose Martins [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil)

2004-07-01

The hydraulic fracture operation is wide used to increase the oil wells production and to reduce formation damage. Reservoir studies and engineer analysis are made to select the wells for this kind of operation. As the reservoir parameters have some diffuses characteristics, Fuzzy Inference Systems (SIF) have been tested for this selection processes in the last few years. This paper compares the performance of a neuro fuzzy system and a genetic fuzzy system used for hydraulic Fracture well selection, with knowledge acquisition from an operational data base to set the SIF membership functions. The training data and the validation data used were the same for both systems. We concluded that, in despite of the genetic fuzzy system would be a younger process, it got better results than the neuro fuzzy system. Another conclusion was that, as the genetic fuzzy system can work with constraints, the membership functions setting kept the consistency of variables linguistic values. (author)

NLP model of a LiBr–H2O absorption refrigeration system for the minimization of the annual operating cost

International Nuclear Information System (INIS)

Rubio-Maya, Carlos; Pacheco-Ibarra, J. Jesús; Belman-Flores, Juan M.; Galván-González, Sergio R.; Mendoza-Covarrubias, Crisanto

2012-01-01

In this paper the optimization of a LiBr–H 2 O absorption refrigeration system with the annual operating cost as the objective function to be minimized is presented. The optimization problem is established as a Non-Linear Programming (NLP) model allowing a formulation of the problem in a simple and structured way, and reducing the typical complexity of the thermal systems. The model is composed of three main parts: the thermodynamic model based on the exergy concept including also the proper formulation for the thermodynamic properties of the LiBr–H 2 O mixture, the second is the economic model and the third part composed by inequality constraints. The solution of the model is obtained using the CONOPT solver suitable for NLP problems (code is available on request). The results show the values of the decision variables that minimize the annual cost under the set of assumptions considered in the model and agree well with those reported in other works using different optimization approaches. - Highlights: ► The optimization of an ARS is presented using the annual operating cost as the objective function. ► The problem is established as an NLP model allowing a formulation in a simple and structured way. ► Several formulations for the thermodynamic properties were tested to implement the simpler ones. ► The results obtained agree well with those reported in the work being in comparison.

A corpus-based approach to generalising a chatbot system

OpenAIRE

Abu Shawar, Bayan; Atwell, Eric

2003-01-01

International research in NLP is dominated by work on English. NLP techniques and systems can be ported to other natural languages, but this is generally a labour-intensive task, requiring scarce computational and linguistic expertise; hence minority languages are poorly represented in NLP technology. We present an automated approach to porting an NLP technology, the AIML-based chatbot, to new languages, by using a corpus in the target language to retrain the chatbot. We have s...

The linguistic repudiation of Wundt.

Science.gov (United States)

Nerlich, B; Clarke, D D

1998-08-01

Wilhelm Wundt's influence on the development of linguistics and psychology was pervasive. The foundations for this web of influence on the sciences of mind and language were laid down in Wundt's own research program, which was quite different from other attempts at founding a new psychology, as it was deeply rooted in German philosophy. This resulted in certain gaps in Wundt's conception of mind and language. These gaps provoked a double repudiation of Wundt's theories, by linguists and psychologists. The psychological repudiation has been studied by historians of psychology, and the linguistic repudiation has been studied by historians of linguistics. The intent of this article is to bring the linguistic repudiation to the attention of historians of psychology, especially the one outlined by two important figures in the history of psychology: Karl Buhler and George Mead.

Mapping Partners Master Drug Dictionary to RxNorm using an NLP-based approach.

Science.gov (United States)

Zhou, Li; Plasek, Joseph M; Mahoney, Lisa M; Chang, Frank Y; DiMaggio, Dana; Rocha, Roberto A

2012-08-01

To develop an automated method based on natural language processing (NLP) to facilitate the creation and maintenance of a mapping between RxNorm and a local medication terminology for interoperability and meaningful use purposes. We mapped 5961 terms from Partners Master Drug Dictionary (MDD) and 99 of the top prescribed medications to RxNorm. The mapping was conducted at both term and concept levels using an NLP tool, called MTERMS, followed by a manual review conducted by domain experts who created a gold standard mapping. The gold standard was used to assess the overall mapping between MDD and RxNorm and evaluate the performance of MTERMS. Overall, 74.7% of MDD terms and 82.8% of the top 99 terms had an exact semantic match to RxNorm. Compared to the gold standard, MTERMS achieved a precision of 99.8% and a recall of 73.9% when mapping all MDD terms, and a precision of 100% and a recall of 72.6% when mapping the top prescribed medications. The challenges and gaps in mapping MDD to RxNorm are mainly due to unique user or application requirements for representing drug concepts and the different modeling approaches inherent in the two terminologies. An automated approach based on NLP followed by human expert review is an efficient and feasible way for conducting dynamic mapping. Copyright © 2011 Elsevier Inc. All rights reserved.

Neuro Emotional Literacy Program: Does Teaching the Function of Affect and Affect Regulation Strategies Improve Affect Management and Well-Being?

Science.gov (United States)

Patten, Kathryn E.; Campbell, Stephen R.

2016-01-01

Although research on Emotion Regulation (ER) is developing at a rapid rate, much of it lacks a clear theoretical framework and most focuses on a narrow set of ER strategies. This work presents the details of a pilot project, the Neuro Emotional Literacy Program (NELP), designed for parents and based on the Somatic Appraisal Model of Affect (SAMA).…

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases

International Nuclear Information System (INIS)

Chauveau, F.

2007-10-01

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

Adaptive Neuro-Fuzzy Modeling of UH-60A Pilot Vibration

Science.gov (United States)

Kottapalli, Sesi; Malki, Heidar A.; Langari, Reza

2003-01-01

Adaptive neuro-fuzzy relationships have been developed to model the UH-60A Black Hawk pilot floor vertical vibration. A 200 point database that approximates the entire UH-60A helicopter flight envelope is used for training and testing purposes. The NASA/Army Airloads Program flight test database was the source of the 200 point database. The present study is conducted in two parts. The first part involves level flight conditions and the second part involves the entire (200 point) database including maneuver conditions. The results show that a neuro-fuzzy model can successfully predict the pilot vibration. Also, it is found that the training phase of this neuro-fuzzy model takes only two or three iterations to converge for most cases. Thus, the proposed approach produces a potentially viable model for real-time implementation.

Neurolinguistic programming: a systematic review of the effects on health outcomes

Science.gov (United States)

Sturt, Jackie; Ali, Saima; Robertson, Wendy; Metcalfe, David; Grove, Amy; Bourne, Claire; Bridle, Chris

2012-01-01

Background Neurolinguistic programming (NLP) in health care has captured the interest of doctors, healthcare professionals, and managers. Aim To evaluate the effects of NLP on health-related outcomes. Design and setting Systematic review of experimental studies. Method The following data sources were searched: MEDLINE®, PsycINFO, ASSIA, AMED, CINAHL®, Web of Knowledge, CENTRAL, NLP specialist databases, reference lists, review articles, and NLP professional associations, training providers, and research groups. Results Searches revealed 1459 titles from which 10 experimental studies were included. Five studies were randomised controlled trials (RCTs) and five were pre-post studies. Targeted health conditions were anxiety disorders, weight maintenance, morning sickness, substance misuse, and claustrophobia during MRI scanning. NLP interventions were mainly delivered across 4–20 sessions although three were single session. Eighteen outcomes were reported and the RCT sample sizes ranged from 22 to 106. Four RCTs reported no significant between group differences with the fifth finding in favour of the NLP arm (F = 8.114, Peffect. There is currently insufficient evidence to support the allocation of NHS resources to NLP activities outside of research purposes. PMID:23211179

Weight maintenance through behaviour modification with a cooking course or neurolinguistic programming.

Science.gov (United States)

Sørensen, Lone Brinkmann; Greve, Tine; Kreutzer, Martin; Pedersen, Ulla; Nielsen, Claus Meyer; Toubro, Søren; Astrup, Arne

2011-01-01

We compared the effect on weight regain of behaviour modification consisting of either a gourmet cooking course or neurolinguistic programming (NLP) therapy. Fifty-six overweight and obese subjects participated. The first step was a 12-week weight loss program. Participants achieving at least 8% weight loss were randomized to five months of either NLP therapy or a course in gourmet cooking. Follow-up occurred after two and three years. Forty-nine participants lost at least 8% of their initial body weight and were randomized to the next step. The NLP group lost an additional 1.8 kg and the cooking group lost 0.2 kg during the five months of weight maintenance (NS). The dropout rate in the cooking group was 4%, compared with 26% in the NLP group (p=0.04). There was no difference in weight maintenance after two and three years of follow-up. In conclusion, weight loss in overweight and obese participants was maintained equally efficiently with a healthy cooking course or NLP therapy, but the dropout rate was lower during the active cooking treatment.

Barriers to Full Participation in the Individualized Education Program for Culturally and Linguistically Diverse Parents

Science.gov (United States)

Tamzarian, Arpi; Menzies, Holly M.; Ricci, Leila

2012-01-01

The Individuals with Disabilities Education Improvement Act (2004) mandates that schools facilitate parent participation in planning the Individual Education Program (IEP). However, culturally and linguistically diverse parents are less likely to feel fully included in the IEP process. In this article we examine three sources of cross-cultural…

Clinical neuro-oncology formal education opportunities for medical students in the United States and Canada.

Science.gov (United States)

Dixit, Karan S; Nicholas, Martin Kelly; Lukas, Rimas V

2014-12-01

To develop an understanding of the availability of the formal clinical neuro-oncology educational opportunities for medical students. The curriculum websites of all medical schools accredited by the Liaison Committee on Medical Education were reviewed for the presence of clinical neuro-oncology electives as well as other relevant data. Ten (6.8%) of medical schools accredited by the Liaison Committee on Medical Education offer formal neuro-oncology electives. Half are clustered in the Midwest. Forty percent are at institutions with neuro-oncology fellowships. All are at institutions with neurosurgery and neurology residency programs. Formal clinical neuro-oncology elective opportunities for medical students in the United States and Canada are limited. Additional such opportunities may be of value in the education of medical students. Copyright © 2014 Elsevier Inc. All rights reserved.

Urgences en neuro-ophtalmologie

DEFF Research Database (Denmark)

Caignard, A.; Leruez, S.; Milea, D.

2017-01-01

Neuro-ophthalmic emergencies can cause life-threatening or sight-threatening complications. Various conditions may have acute neuro-ophthalmic manifestations, including inflammatory or ischemic processes, as well as tumoral, aneurysmal compression or metabolic and systemic diseases. Diplopia...

Insights into Substrate Specificity of NlpC/P60 Cell Wall Hydrolases Containing Bacterial SH3 Domains

Energy Technology Data Exchange (ETDEWEB)

Xu, Qingping; Mengin-Lecreulx, Dominique; Liu, Xueqian W.; Patin, Delphine; Farr, Carol L.; Grant, Joanna C.; Chiu, Hsiu-Ju; Jaroszewski, Lukasz; Knuth, Mark W.; Godzik, Adam; Lesley, Scott A.; Elsliger, Marc-André; Deacon, Ashley M.; Wilson, Ian A.

2015-09-15

Bacterial SH3 (SH3b) domains are commonly fused with papain-like Nlp/P60 cell wall hydrolase domains. To understand how the modular architecture of SH3b and NlpC/P60 affects the activity of the catalytic domain, three putative NlpC/P60 cell wall hydrolases were biochemically and structurally characterized. These enzymes all have γ-d-Glu-A₂pm (A₂pm is diaminopimelic acid) cysteine amidase (ordl-endopeptidase) activities but with different substrate specificities. One enzyme is a cell wall lysin that cleaves peptidoglycan (PG), while the other two are cell wall recycling enzymes that only cleave stem peptides with an N-terminall-Ala. Their crystal structures revealed a highly conserved structure consisting of two SH3b domains and a C-terminal NlpC/P60 catalytic domain, despite very low sequence identity. Interestingly, loops from the first SH3b domain dock into the ends of the active site groove of the catalytic domain, remodel the substrate binding site, and modulate substrate specificity. Two amino acid differences at the domain interface alter the substrate binding specificity in favor of stem peptides in recycling enzymes, whereas the SH3b domain may extend the peptidoglycan binding surface in the cell wall lysins. Remarkably, the cell wall lysin can be converted into a recycling enzyme with a single mutation.

IMPORTANCEPeptidoglycan is a meshlike polymer that envelops the bacterial plasma membrane and bestows structural integrity. Cell wall lysins and recycling enzymes are part of a set of lytic enzymes that target covalent bonds connecting the amino acid and amino sugar building blocks of the PG network. These hydrolases are involved in processes such as cell growth and division, autolysis, invasion, and PG turnover and recycling. To avoid cleavage of unintended substrates, these enzymes have very selective substrate specificities. Our biochemical and structural

Neurolinguistic programming: a systematic review of the effects on health outcomes.

Science.gov (United States)

Sturt, Jackie; Ali, Saima; Robertson, Wendy; Metcalfe, David; Grove, Amy; Bourne, Claire; Bridle, Chris

2012-11-01

Neurolinguistic programming (NLP) in health care has captured the interest of doctors, healthcare professionals, and managers. To evaluate the effects of NLP on health-related outcomes. Systematic review of experimental studies. The following data sources were searched: MEDLINE, PsycINFO, ASSIA, AMED, CINAHL, Web of Knowledge, CENTRAL, NLP specialist databases, reference lists, review articles, and NLP professional associations, training providers, and research groups. Searches revealed 1459 titles from which 10 experimental studies were included. Five studies were randomised controlled trials (RCTs) and five were pre-post studies. Targeted health conditions were anxiety disorders, weight maintenance, morning sickness, substance misuse, and claustrophobia during MRI scanning. NLP interventions were mainly delivered across 4-20 sessions although three were single session. Eighteen outcomes were reported and the RCT sample sizes ranged from 22 to 106. Four RCTs reported no significant between group differences with the fifth finding in favour of the NLP arm (F = 8.114, P<0.001). Three RCTs and five pre-post studies reported within group improvements. Risk of bias across all studies was high or uncertain. There is little evidence that NLP interventions improve health-related outcomes. This conclusion reflects the limited quantity and quality of NLP research, rather than robust evidence of no effect. There is currently insufficient evidence to support the allocation of NHS resources to NLP activities outside of research purposes.

Neuro-ophthalmology and neuro-otology update.

Science.gov (United States)

Gold, Daniel R; Zee, David S

2015-12-01

This review summarizes topical papers from the fields of neuro-ophthalmology and neuro-otology published from August 2013 to February 2015. The main findings are: (1) diagnostic criteria for pseudotumor cerebri have been updated, and the Idiopathic Intracranial Hypertension Treatment Trial evaluated the efficacy of acetazolamide in patients with mild vision loss, (2) categorization of vestibular disorders through history and ocular motor examination is particularly important in the acute vestibular syndrome, where timely distinction between a central or peripheral localization is essential, (3) the newly described "sagging eye syndrome" provides a mechanical explanation for an isolated esodeviation that increases at distance in the aging population and (4) eye movement recordings better define how cerebellar dysfunction and/or sixth nerve palsy may play a role in other patients with esodeviations that increase at distance.

NeuroQuiz

DEFF Research Database (Denmark)

Brent, Mikkel Bo; Emmanuel, Thomas

2016-01-01

NeuroQuiz er en quiz-app udviklet til neuroanatomi. Den består af mere end 1500 spørgsmål og over 350 anatomiske billeder. Alle spørgsmål tager udgangspunkt i lærebogen Neuroanatomi af Carsten Reidies Bjarkam.......NeuroQuiz er en quiz-app udviklet til neuroanatomi. Den består af mere end 1500 spørgsmål og over 350 anatomiske billeder. Alle spørgsmål tager udgangspunkt i lærebogen Neuroanatomi af Carsten Reidies Bjarkam....

DALILA: The Dialectal Arabic Linguistic Learning Assistant

OpenAIRE

Khalifa , Salam; Bouamor , Houda; Habash , Nizar

2016-01-01

International audience; Dialectal Arabic (DA) poses serious challenges for Natural Language Processing (NLP). The number and sophistication of tools and datasets in DA are very limited in comparison to Modern Standard Arabic (MSA) and other languages. MSA tools do not effectively model DA which makes the direct use of MSA NLP tools for handling dialects impractical. This is particularly a challenge for the creation of tools to support learning Arabic as a living language on the web, where aut...

Sales Training for Army Recruiter Success: Sales Strategies and Skills Used by Excellent U. S. Army Recruiters

Science.gov (United States)

1987-11-01

Army recruiters. Neurolinguistic programming (NLP) was used as the protocol for modeling performance and acquiring information on the communication...kills -Linguistic pattern~ Sales cycle, Communica tion s trategies Mode-H.R-g. Sales skills, {:( ~Expert kn0\\vlc dge1 ’ Neurolinguist ic~ Sales...describe s a program of r esearch on the communicat ion st rate - gies a nd skills use d by excellen t Army r ecrui t e rs. Information to be used to

Linguistic Engineering and Linguistic of Engineering: Adaptation of Linguistic Paradigm for Circumstance of Engineering Epoch

OpenAIRE

Natalya Halina

2014-01-01

The article is devoted to the problems of linguistic knowledge in the Engineering Epoch. Engineering Epoch is the time of adaptation to the information flows by knowledge management, The system of adaptation mechanisms is connected with linguistic and linguistic technologies, forming in new linguistic patterns Linguistic Engineering and Linguistic of Engineering.

HYPNOTEACHING IN HISTORY LESSON

Directory of Open Access Journals (Sweden)

Agus Budianto

2017-07-01

Full Text Available Abstract: Hypnoteaching in History Lesson. Historical learning is a science that can’t be separated in educating the younger generation. Through this lesson, teachers in secondary schools can provide the foundation of nationality through important events in the study of the social sciences. Many of the problems that occur in learning history, such as the boring and make sleepy. Everyone must have heard the term hypnosis, hypnotism, or hypnotherapy. Each person must also have a different view or understanding when hearing these terms. Hypnoteaching is one of the learning methods by using the art of communicating to influence learners. Hypnoteaching is a combination of five teaching-learning methods such as quantum learning, accelerate learning, power teaching, neuro-linguistic programming (NLP and hypnosis. Hypnoteaching can be done using informal hypnosis as well as formal hypnosis. Informal hypnosis is also called indirect hypnosis ie teachers can naturally make the Critical Area learners become no longer critical, through a very persuasive communication pattern. Here's what the teacher can do in Informal hypnosis: (1 get attention; (2 establishing Themes; (3 presenting the structure and regulations; (4 building relationships. If the learners are already comfortable and interested, the next step is to do a formal hypnosis before the lesson begins. Here are the steps that must be done: (1 Induction; (2 Deepening; (3 Deep level test; (4 Suggestion, and; (5 Termination.   Keywords: Historical learning, hypnoteaching, hypnosis, hypnotism, hypnotherapy, history Abstrak: Hipnoteaching dalam Pembelajaran Sejarah. Pelajaran sejarah tidak bisa dihilangkan dalam mendidik para generasi muda. Melalui pembelajaran ini, guru pada sekolah menengah pertama dapat memberikan pondasi rasa nasionalisme melalui peristiwa peristiwa penting dalam pelajaran ilmu pengetahuan social. Masalah yang sering muncul pada pembelajaran ini adalah kebosanan siswa dan

Canary: An NLP Platform for Clinicians and Researchers.

Science.gov (United States)

Malmasi, Shervin; Sandor, Nicolae L; Hosomura, Naoshi; Goldberg, Matt; Skentzos, Stephen; Turchin, Alexander

2017-05-03

Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface.

Effective Communication and Neurolinguistic Programming

Directory of Open Access Journals (Sweden)

Ahsan Bashir (Corresponding Author

2012-06-01

Full Text Available Importance of effective communication can hardly be ignored in any sphere of life. This is achieved through various means. One such instrument is Neurolinguistic Programming (NLP which has now taken roots in various aspects of learning and education. Its potential spans education and learning, language teaching, business management and marketing, psychology, law, and several other fields. In our work, we will briefly explore various facets of NLP with special reference to effective communication.

An Overview of Computer-Based Natural Language Processing.

Science.gov (United States)

Gevarter, William B.

Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

Exploring Linguistic Identity in Young Multilingual Learners

Science.gov (United States)

Dressler, Roswita

2014-01-01

This article explores the linguistic identity of young multilingual learners through the use of a Language Portrait Silhouette. Examples from a research study of children aged 6-8 years in a German bilingual program in Canada provide teachers with an understanding that linguistic identity comprises expertise, affiliation, and inheritance. This…

An Aid to Neuro-Ophthalmology

OpenAIRE

Akram, Muhammad

2011-01-01

Muhammad Shoaib AkramDepartment of Ophthalmology, King Fahad Military Hospital, Khamis Mushyat, Saudi ArabiaNeuro-ophthalmology is a very interesting field. Localizing a lesion in various pathways can be challenging, particularly for beginners. One needs a solid foundation of the neuro-anatomy of visual pathways to enhance understanding. The author aims to provide medical students and residents with the basic concepts of neuro-ophthalmology. This text attempts to simplify the complex problems...

Research Findings on Neurolinguistic Programming: Nonsupportive Data or an Untestable Theory?

Science.gov (United States)

Sharpley, Christopher F.

1987-01-01

Examines the experimental literature on neurolinguistic programming (NLP). Sharpley (l984) and Einspruch and Forman (l985) concluded that the effectiveness of this therapy was yet to be demonstrated. Presents data from seven recent studies that further question the basic tenets of NLP and their application in counseling situations. (Author/KS)

Do all roads lead to Rome? The role of neuro-immune interactions before birth in the programming of offspring obesity

Directory of Open Access Journals (Sweden)

Christine eJasoni

2015-02-01

Full Text Available The functions of the nervous system can be powerfully modulated by the immune system. Although traditionally considered to be quite separate, neuro-immune interactions are increasingly recognized as critical for both normal and pathological nervous system function in the adult. However, a growing body of information supports a critical role for neuro-immune interactions before birth, particularly in the prenatal programming of later-life neurobehavioral disease risk. This review will focus on maternal obesity, as it represents an environment of pathological immune system function during pregnancy that elevates offspring neurobehavioral disease risk. We will first delineate the normal role of the immune system during pregnancy, including the role of the placenta as both a barrier and relayer of inflammatory information between the maternal and fetal environments. This will be followed by the current exciting findings of how immuno-modulatory molecules may elevate offspring risk of neurobehavioral disease by altering brain development and, consequently, later life function. Finally, by drawing parallels with pregnancy complications other than obesity, we will suggest that aberrant immune activation, irrespective of its origin, may lead to neuro-immune interactions that otherwise would not exist in the developing brain. These interactions could conceivably derail normal brain development and/or later life function, and thereby elevate risk for obesity and other neurobehavioral disorders later in the offspring’s life.

Cognition-Based Approaches for High-Precision Text Mining

Science.gov (United States)

Shannon, George John

2017-01-01

This research improves the precision of information extraction from free-form text via the use of cognitive-based approaches to natural language processing (NLP). Cognitive-based approaches are an important, and relatively new, area of research in NLP and search, as well as linguistics. Cognitive approaches enable significant improvements in both…

Guatemalan Linguistics Project

Science.gov (United States)

Linguistic Reporter, 1974

1974-01-01

The general goals of the Guatemalan technical institution, the Proyecto Linguistico Francisco Marroquin, are to: create a national technical resource institution in linguistics and Mayan languages; enable Indians to influence programs for their communities; and stimulate the study of Mayan languages and their use as communication medium. (SW)

Novel Use of Natural Language Processing (NLP to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid

Directory of Open Access Journals (Sweden)

Benjamin L. Cook

2016-01-01

Full Text Available Natural language processing (NLP and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12. Predictor variables included structured items (e.g., relating to sleep and well-being and responses to one unstructured question, “how do you feel today?” We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4 were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Science.gov (United States)

Cook, Benjamin L; Progovac, Ana M; Chen, Pei; Mullin, Brian; Hou, Sherry; Baca-Garcia, Enrique

2016-01-01

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

Equitably Distributing Quality of Marine Security Guards Using Integer Programming

Science.gov (United States)

2013-03-01

ARB BALMOD COM DoD DoS E HAF HQ 10 IP IQ LP MOS MCESG MSG MSGAT NLP NMC OSAB PCS PP&O Q RSO SAl SD SE SNCO T-ODP LIST OF...and Eurasia 2 Abu Dhabi, United Arab Emirates India and the Middle East 3 Bangkok, Thailand East Asia and Pacific 4 Fort Lauderdale, Florida South...integer, goal, and quadratic programming. LP models and nonlinear programming ( NLP ) models are very similar in model development for both maximizing

An Online Energy Management Control for Hybrid Electric Vehicles Based on Neuro-Dynamic Programming

Directory of Open Access Journals (Sweden)

Feiyan Qin

2018-03-01

Full Text Available Hybrid electric vehicles are a compromise between traditional vehicles and pure electric vehicles and can be part of the solution to the energy shortage problem. Energy management strategies (EMSs are highly related to energy utilization in HEVs’ fuel economy. In this research, we have employed a neuro-dynamic programming (NDP method to simultaneously optimize fuel economy and battery state of charge (SOC. In this NDP method, the critic network is a multi-resolution wavelet neural network based on the Meyer wavelet function, and the action network is a conventional wavelet neural network based on the Morlet function. The weights and parameters of both networks are obtained by an algorithm of backpropagation type. The NDP-based EMS has been applied to a parallel HEV and compared with a previously reported NDP EMS and a stochastic dynamic programing-based method. Simulation results under ADVISOR2002 have shown that the proposed NDP approach achieves better performance than both the methods. These indicate that the proposed NDP EMS, and the CWNN and MRWNN, are effective in approximating a nonlinear system.

The Danish Neuro-Oncology Registry

DEFF Research Database (Denmark)

Hansen, Steinbjørn

2016-01-01

AIM OF DATABASE: The Danish Neuro-Oncology Registry (DNOR) was established by the Danish Neuro-Oncology Group as a national clinical database. It was established for the purpose of supporting research and development in adult patients with primary brain tumors in Denmark. STUDY POPULATION: DNOR has...... advantage of reporting indicators is the related multidisciplinary discussions giving a better understanding of what actually is going on, thereby facilitating the work on adjusting the national guidelines in the Danish Neuro-Oncology Group. CONCLUSION: The establishment of DNOR has optimized the quality...

The human resource crisis in neuro-ophthalmology.

Science.gov (United States)

Frohman, Larry P

2008-09-01

Neuro-ophthalmology is facing a serious human resource issue. Few are entering the subspecialty, which is perceived as being poorly compensated compared with other subspecialties of ophthalmology. The low compensation comes from the fact that 1) non-procedural encounters remain undervalued, 2) efforts that benefit other medical specialists are not counted, and 3) the relatively low expenses of neuro-ophthalmologists are not factored into compensation formulas. Mission-based budgeting, which forces academic departments to be financially accountable without the expectation of fiscal relief from medical schools or practice plans, has exacerbated the compensation issue. Solutions must come from within neuro-ophthalmology, academic departments, medical schools, and medical practice plans. They include 1) providing educational resources so that neuro-ophthalmologists need not spend so much time teaching the basics, 2) factoring into compensation the impact of neuro-ophthalmologists in teaching and on revenue generation by procedure-based specialists, 3) improving the efficiency of neuro-ophthalmologists in their consultative practices by providing ample clerical support and other measures, 4) providing contractual salary compensation by departments such as neurosurgery to recognize the contributions made by neuro-ophthalmologists, and 5) reorganizing the academic clinical effort as multidisciplinary rather than departmental.

The clinical neuro-ophthalmology of vision

International Nuclear Information System (INIS)

Kashii, Satoshi

2008-01-01

To diagnose a patient with a failing visual system, it is necessary to localize the site of the lesion in the system, and identify the etiology that has produced it. Physicians do not see diseases but just their manifestations. Clinical neuro-ophthalmology provides the basic principles on how to progress from manifestations to the diseases they indicate. The Frank B. Walsh Neuro-Ophthalmology Society (the Walsh Society) that originated in 1969 in the United States has been the center of clinical neuro-ophthalmology case studies throughout the world. In Japan, the Ronald M. Burde Clinical Neuro-Ophthalmology Study Group (the RMB Society) was organized in 2001 to establish and promote a clinicopathologic conference in the style of the Walsh Society. On this occasion, Prof. Burde was invited to the Annual Japanese Ophthalmological Society meeting. Based on some illustrative cases presented at the annual meetings of the RMB society, this review was carried out to present the current knowledge of clinical neuro-ophthalmology. (author)

Data Acquisition and Linguistic Resources

Science.gov (United States)

Strassel, Stephanie; Christianson, Caitlin; McCary, John; Staderman, William; Olive, Joseph

All human language technology demands substantial quantities of data for system training and development, plus stable benchmark data to measure ongoing progress. While creation of high quality linguistic resources is both costly and time consuming, such data has the potential to profoundly impact not just a single evaluation program but language technology research in general. GALE's challenging performance targets demand linguistic data on a scale and complexity never before encountered. Resources cover multiple languages (Arabic, Chinese, and English) and multiple genres -- both structured (newswire and broadcast news) and unstructured (web text, including blogs and newsgroups, and broadcast conversation). These resources include significant volumes of monolingual text and speech, parallel text, and transcribed audio combined with multiple layers of linguistic annotation, ranging from word aligned parallel text and Treebanks to rich semantic annotation.

Perspectives regarding disproportionate representation of culturally and linguistically diverse students in high-incidence special education programs in the United States

Directory of Open Access Journals (Sweden)

Jolanta Jonak

2014-02-01

Full Text Available Background The number of culturally and linguistically diverse students in the U.S. is growing, and research shows they are often underassessed, misdiagnosed, and placed into special education unnecessarily. This problem mainly concerns high-incidence, or judgmental, disabilities such as learning disability, emotional disturbance, or mental retardation. Participants and procedure In this study, the author examines how some educators perceive and address culturally and linguistically diverse students in the U.S. A survey developed by the author was used to examine how educators perceive culturally and linguistically diverse student populations and how one Midwestern school system in the United States dealt with culturally and linguistically diverse students’ needs versus expected ideal practices. Results Results indicated that most participants recognized that the issue of disproportionate representation is nationwide, but did not believe that their district shared that problem. Conclusions Participants indicated that best practices were not being followed maximally to reduce and avoid the problem of disproportionate representation of culturally and linguistically diverse students in special education programs. Difficulties in meeting students’ needs may be related to cultural differences that school personnel are unable to assess or address. Recommendations include suggestions for further studies and for applying the survey in other school systems to increase the understanding and improve their practice in working with culturally and linguistically diverse students.

A Profile of Neuro-Ophthalmic Practice Around the World.

Science.gov (United States)

Frohman, Larry P

2018-03-01

To compare contrast neuro-ophthalmic practice in various countries, an 18-question survey was sent to the international North American Neuro-Ophthalmology Society (NANOS) members in the spring of 2016. At least 1 NANOS member was contacted for each non-US nation in the NANOS membership roster. If there were multiple NANOS members from 1 country, multiple were contacted. If responses were received from more than 1 person from a single country, the first response received was used as the source data. The survey (in English) was emailed to 47 NANOS members from 31 countries. Twenty responses were received representing members from 15 nations. In all 15 nations, at least half of the neuro-ophthalmologists were trained as ophthalmologists. In 60% of nations, at least half of the neuro-ophthalmologists were trained internally, whereas in 33% of countries, at least half were trained in the United States. The number of physicians who practiced a significant amount of neuro-ophthalmology ranged from low (0.08/million, India) to high (3.10/million, Israel). Countries having the highest percentage of neuro-ophthalmologists exclusively practicing neuro-ophthalmology also were those with better patient access to neuro-ophthalmic care. Requirement of approval to see a neuro-ophthalmologist or for imaging studies requested by neuro-ophthalmologists was not typical. In most nations, academic neuro-ophthalmologists were paid a straight salary. In no nation were neuro-ophthalmologists paid more than another ophthalmic subspecialty. Individual national health care system designs and compensation models have had a profound influence on the rewards and challenges that face neuro-ophthalmologists. There seems to have been a connection between recognition of the discipline, financial rewards of neuro-ophthalmic practice, conditions that permit full-time neuro-ophthalmic practice, and patient access to care. A higher percentage of gross national product for health care did not seem to

Natural Language Processing (NLP), Machine Learning (ML), and Semantics in Polar Science

Science.gov (United States)

Duerr, R.; Ramdeen, S.

2017-12-01

One of the interesting features of Polar Science is that it historically has been extremely interdisciplinary, encompassing all of the physical and social sciences. Given the ubiquity of specialized terminology in each field, enabling researchers to find, understand, and use all of the heterogeneous data needed for polar research continues to be a bottleneck. Within the informatics community, semantics has broadly accepted as a solution to these problems, yet progress in developing reusable semantic resources has been slow. The NSF-funded ClearEarth project has been adapting the methods and tools from other communities such as Biomedicine to the Earth sciences with the goal of enhancing progress and the rate at which the needed semantic resources can be created. One of the outcomes of the project has been a better understanding of the differences in the way linguists and physical scientists understand disciplinary text. One example of these differences is the tendency for each discipline and often disciplinary subfields to expend effort in creating discipline specific glossaries where individual terms often are comprised of more than one word (e.g., first-year sea ice). Often each term in a glossary is imbued with substantial contextual or physical meaning - meanings which are rarely explicitly called out within disciplinary texts; meaning which are therefore not immediately accessible to those outside that discipline or subfield; meanings which can often be represented semantically. Here we show how recognition of these difference and the use of glossaries can be used to speed up the annotation processes endemic to NLP, enable inter-community recognition and possible reconciliation of terminology differences. A number of processes and tools will be described, as will progress towards semi-automated generation of ontology structures.

Direct transcriptional activation of BT genes by NLP transcription factors is a key component of the nitrate response in Arabidopsis.

Science.gov (United States)

Sato, Takeo; Maekawa, Shugo; Konishi, Mineko; Yoshioka, Nozomi; Sasaki, Yuki; Maeda, Haruna; Ishida, Tetsuya; Kato, Yuki; Yamaguchi, Junji; Yanagisawa, Shuichi

2017-01-29

Nitrate modulates growth and development, functioning as a nutrient signal in plants. Although many changes in physiological processes in response to nitrate have been well characterized as nitrate responses, the molecular mechanisms underlying the nitrate response are not yet fully understood. Here, we show that NLP transcription factors, which are key regulators of the nitrate response, directly activate the nitrate-inducible expression of BT1 and BT2 encoding putative scaffold proteins with a plant-specific domain structure in Arabidopsis. Interestingly, the 35S promoter-driven expression of BT2 partially rescued growth inhibition caused by reductions in NLP activity in Arabidopsis. Furthermore, simultaneous disruption of BT1 and BT2 affected nitrate-dependent lateral root development. These results suggest that direct activation of BT1 and BT2 by NLP transcriptional activators is a key component of the molecular mechanism underlying the nitrate response in Arabidopsis. Copyright © 2016 Elsevier Inc. All rights reserved.

Video-Teleconferencing in Pediatric Neuro-Oncology: Ten Years of Experience

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Nisreen Amayiri

2017-04-01

Full Text Available Purpose: The management of central nervous system tumors is challenging in low- and middle-income countries. Little is known about applicability of twinning initiatives with high-income countries in neuro-oncology. In 2004, a monthly neuro-oncology video-teleconference program was started between King Hussein Cancer Center (Amman, Jordan and the Hospital for Sick Children (Toronto, Ontario, Canada. More than 100 conferences were held and > 400 cases were discussed. The aim of this work was to assess the sustainability of such an initiative and the evolution of the impact over time. Methods: We divided the duration in to three eras according to the initial 2 to 3 years of work of three consecutive oncologists in charge of the neuro-oncology program at King Hussein Cancer Center. We retrospectively reviewed the written minutes and compared the preconference suggested plans with the postconference recommendations. Impact of changes on the patient care was recorded. Results: Thirty-three sets of written minutes (covering 161 cases in the middle era and 32 sets of written minutes (covering 122 cases in the last era were compared with the initial experience (20 meetings, 72 cases. Running costs of these conferences has dropped from $360/h to < $40/h. Important concepts were introduced, such as multidisciplinary teamwork, second-look surgery, and early referral. Suggestions for plan changes have decreased from 44% to 30% and 24% in the respective consecutive eras. Most recommendations involved alternative intervention modalities or pathology review. Most of these recommendations were followed. Conclusion: Video-teleconferencing in neuro-oncology is feasible and sustainable. With time, team experience is built while the percentage and the type of treatment modifications change. Commitment and motivation helped maintain this initiative rather than availability of financial resources. Improvement in patients’ care was achieved, in particular, with the

Frequency and Pathological Phenotype of Bovine Astrovirus CH13/NeuroS1 Infection in Neurologically-Diseased Cattle: Towards Assessment of Causality

Directory of Open Access Journals (Sweden)

Senija Selimovic-Hamza

2017-01-01

Full Text Available Next-generation sequencing (NGS has opened up the possibility of detecting new viruses in unresolved diseases. Recently, astrovirus brain infections have been identified in neurologically diseased humans and animals by NGS, among them bovine astrovirus (BoAstV CH13/NeuroS1, which has been found in brain tissues of cattle with non-suppurative encephalitis. Only a few studies are available on neurotropic astroviruses and a causal relationship between BoAstV CH13/NeuroS1 infections and neurological disease has been postulated, but remains unproven. Aiming at making a step forward towards assessing the causality, we collected brain samples of 97 cases of cattle diagnosed with unresolved non-suppurative encephalitis, and analyzed them by in situ hybridization and immunohistochemistry, to determine the frequency and neuropathological distribution of the BoAstV CH13/NeuroS1 and its topographical correlation to the pathology. We detected BoAstV CH13/NeuroS1 RNA or proteins in neurons throughout all parts of the central nervous system (CNS in 34% of all cases, but none were detected in cattle of the control group. In general, brain lesions had a high correlation with the presence of the virus. These findings show that a substantial proportion of cattle with non-suppurative encephalitis are infected with BoAstV CH13/NeuroS1 and further substantiate the causal relationship between neurological disease and astrovirus infections.

Linguistic Error Analysis on Students' Thesis Proposals

Science.gov (United States)

Pescante-Malimas, Mary Ann; Samson, Sonrisa C.

2017-01-01

This study identified and analyzed the common linguistic errors encountered by Linguistics, Literature, and Advertising Arts majors in their Thesis Proposal classes in the First Semester 2016-2017. The data were the drafts of the thesis proposals of the students from the three different programs. A total of 32 manuscripts were analyzed which was…

Book review

Directory of Open Access Journals (Sweden)

Ripan Hermawan

2011-07-01

Full Text Available Natural Language Processing (NLP is a 'theoretically motivated range of computational techniques for analyzing and representing naturally occurring texts at one or more levels of linguistic analysis for the purpose of achieving human-like language processing for a range of tasks or applications' (Liddy, 2001, p.1. NLP is an increasingly popular field of study nowadays. The applications of NLP are widespread. There are many applications made possible by NLP such as translation tools, speech recognition and transcription softwares, speech to text and text to speech applications, corpus tools, predictive text applications, and many more. These in return have contributed to the increase in the popularity of NLP itself, not only among academics but also among wider audiences who have benefited from it.

NeuroMorpho

Data.gov (United States)

U.S. Department of Health & Human Services — NeuroMorpho.Org is a centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications. It contains contributions from over...

Forensic linguistics: Applications of forensic linguistics methods to anonymous letters

OpenAIRE

NOVÁKOVÁ, Veronika

2011-01-01

The title of my bachelor work is ?Forensic linguistics: Applications of forensic linguistics methods to anonymous letters?. Forensic linguistics is young and not very known branch of applied linguistics. This bachelor work wants to introduce forensic linguistics and its method. The bachelor work has two parts ? theory and practice. The theoretical part informs about forensic linguistics in general. Its two basic aspects utilized in forensic science and respective methods. The practical part t...

Applied Linguistics and the "Annual Review of Applied Linguistics."

Science.gov (United States)

Kaplan, Robert B.; Grabe, William

2000-01-01

Examines the complexities and differences involved in granting disciplinary status to the role of applied linguistics, discusses the role of the "Annual Review of Applied Linguistics" as a contributor to the development of applied linguistics, and highlights a set of publications for the future of applied linguistics. (Author/VWL)

Measuring the readability of sustainability reports: : A corpus-based analysis through standard formulae and NLP

NARCIS (Netherlands)

Smeuninx, N.; De Clerck, B.; Aerts, Walter

2016-01-01

This study characterises and problematises the language of corporate reporting along region, industry, genre, and content lines by applying readability formulae and more advanced natural language processing (NLP)–based analysis to a manually assembled 2.75-million-word corpus. Readability formulae

Novice Teachers and Linguistics: Foregrounding the Functional

Science.gov (United States)

Chappell, Phil; Moore, Stephen

2012-01-01

This forum article describes a postgraduate certificate teaching English to speakers of other languages (TESOL) program with a strong linguistics orientation and argues that such a program provides novice language teachers with knowledge and skills superior to those of programs which focus more on methodology and practicum experience and less on…

Applications of NLP Techniques to Computer-Assisted Authoring of Test Items for Elementary Chinese

Science.gov (United States)

Liu, Chao-Lin; Lin, Jen-Hsiang; Wang, Yu-Chun

2010-01-01

The authors report an implemented environment for computer-assisted authoring of test items and provide a brief discussion about the applications of NLP techniques for computer assisted language learning. Test items can serve as a tool for language learners to examine their competence in the target language. The authors apply techniques for…

A neuro-fuzzy inference system for sensor monitoring

International Nuclear Information System (INIS)

Na, Man Gyun

2001-01-01

A neuro-fuzzy inference system combined with the wavelet denoising, PCA (principal component analysis) and SPRT (sequential probability ratio test) methods has been developed to monitor the relevant sensor using the information of other sensors. The paramters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The wavelet denoising technique was applied to remove noise components in input signals into the neuro-fuzzy system. By reducing the dimension of an input space into the neuro-fuzzy system without losing a significant amount of information, the PCA was used to reduce the time necessary to train the neuro-fuzzy system, simplify the structure of the neuro-fuzzy inference system and also, make easy the selection of the input signals into the neuro-fuzzy system. By using the residual signals between the estimated signals and the measured signals, the SPRT is applied to detect whether the sensors are degraded or not. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level, the pressurizer pressure, and the hot-leg temperature sensors in pressurized water reactors

Toward a Learning Health-care System - Knowledge Delivery at the Point of Care Empowered by Big Data and NLP.

Science.gov (United States)

Kaggal, Vinod C; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P; Ross, Jason L; Chaudhry, Rajeev; Buntrock, James D; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future.

The social impact of natural language processing

DEFF Research Database (Denmark)

Hovy, Dirk; Spruit, Shannon

Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...... individually identifiable, and the outcome of NLP experiments and applications can have a direct effect on their lives. This change should spawn a debate about the ethical implications of NLP, but until now, the internal discourse in the field has not followed the technological development. This position paper...

libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.

Science.gov (United States)

Vella, Michael; Cannon, Robert C; Crook, Sharon; Davison, Andrew P; Ganapathy, Gautham; Robinson, Hugh P C; Silver, R Angus; Gleeson, Padraig

2014-01-01

NeuroML is an XML-based model description language, which provides a powerful common data format for defining and exchanging models of neurons and neuronal networks. In the latest version of NeuroML, the structure and behavior of ion channel, synapse, cell, and network model descriptions are based on underlying definitions provided in LEMS, a domain-independent language for expressing hierarchical mathematical models of physical entities. While declarative approaches for describing models have led to greater exchange of model elements among software tools in computational neuroscience, a frequent criticism of XML-based languages is that they are difficult to work with directly. Here we describe two Application Programming Interfaces (APIs) written in Python (http://www.python.org), which simplify the process of developing and modifying models expressed in NeuroML and LEMS. The libNeuroML API provides a Python object model with a direct mapping to all NeuroML concepts defined by the NeuroML Schema, which facilitates reading and writing the XML equivalents. In addition, it offers a memory-efficient, array-based internal representation, which is useful for handling large-scale connectomics data. The libNeuroML API also includes support for performing common operations that are required when working with NeuroML documents. Access to the LEMS data model is provided by the PyLEMS API, which provides a Python implementation of the LEMS language, including the ability to simulate most models expressed in LEMS. Together, libNeuroML and PyLEMS provide a comprehensive solution for interacting with NeuroML models in a Python environment.

libNeuroML and PyLEMS: using Python to combine imperative and declarative modelling approaches in computational neuroscience

Directory of Open Access Journals (Sweden)

Michael eVella

2014-04-01

Full Text Available NeuroML is an XML-based model description language, which provides a powerful common data format for defining and exchanging models of neurons and neuronal networks. In the latest version of NeuroML, the structure and behavior of ion channel, synapse, cell,and network model descriptions are based on underlying definitions provided in LEMS, a domain-independent language for expressing hierarchical mathematical models of physical entities. While declarative approaches for describing models have led to greater exchange of model elements among software tools in computational neuroscience, a frequent criticism of XML-based languages is that they are difficult to work with directly. Here we describe two APIs (Application Programming Interfaces written in Python (http://www.python.org, which simplify the process of developing and modifying models expressed in NeuroML and LEMS. The libNeuroML API provides a Python object model with a direct mapping to all NeuroML concepts defined by the NeuroML Schema, which facilitates reading and writing the XML equivalents. In addition, it offers a memory-efficient, array-based internal representation, which is useful for handling large-scale connectomics data. The libNeuroML API also includes support for performing common operations that are required when working with NeuroML documents. Access to the LEMS data model is provided by the PyLEMS API, which provides a Python implementation of the LEMS language, including the ability to simulate most models expressed in LEMS. Together, libNeuroML and PyLEMS provide a comprehensive solution for interacting with NeuroML models in a Python environment.

The social impact of natural language processing

DEFF Research Database (Denmark)

Hovy, Dirk; Spruit, Shannon

Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...... individually identifiable, and the outcome of NLP experiments and applications can have a direct effect on their lives. This change should spawn a debate about the ethical implications of NLP, but until now, the internal discourse in the field has not followed the technological development. This position paper...... identifies a number of social implications that NLP research may have, and discusses their ethical significance, as well as ways to address them....

A neuro-fuzzy model for prediction of the indoor temperature in typical Australian residential buildings

Energy Technology Data Exchange (ETDEWEB)

Alasha' ary, Haitham; Moghtaderi, Behdad; Page, Adrian; Sugo, Heber [Priority Research Centre for Energy, Chemical Engineering, School of Engineering, Faculty of Engineering and Built Environment, the University of Newcastle, Callaghan, Newcastle, NSW 2308 (Australia)

2009-07-15

The Masonry Research Group at The University of Newcastle, Australia has embarked on an extensive research program to study the thermal performance of common walling systems in Australian residential buildings by studying the thermal behaviour of four representative purpose-built thermal test buildings (referred to as 'test modules' or simply 'modules' hereafter). The modules are situated on the university campus and are constructed from brick veneer (BV), cavity brick (CB) and lightweight (LW) constructions. The program of study has both experimental and analytical strands, including the use of a neuro-fuzzy approach to predict the thermal behaviour. The latter approach employs an experimental adaptive neuro-fuzzy inference system (ANFIS) which is used in this study to predict the room (indoor) temperatures of the modules under a range of climatic conditions pertinent to Newcastle (NSW, Australia). The study shows that this neuro-fuzzy model is capable of accurately predicting the room temperature of such buildings; thus providing a potential computationally efficient and inexpensive predictive tool for the more effective thermal design of housing. (author)

Collaborative Teaching in a Linguistically and Culturally Diverse Higher Education Setting: A Case Study of a Postgraduate Accounting Program

Science.gov (United States)

Evans, Elaine; Tindale, Jen; Cable, Dawn; Mead, Suzanne Hamil

2009-01-01

The Language for Professional Communication in Accounting project has changed teaching practice in a linguistically and culturally diverse postgraduate accounting program at Macquarie University in Australia. This paper reflects on the project's interdisciplinary and collaborative approach to diversity in the classroom by tracing its growth and…

On Linguistic Abilities, Multilingualism, and Linguistic Justice

Directory of Open Access Journals (Sweden)

Iannàccaro Gabriele

2016-10-01

Full Text Available The notion of linguistic justice should be related to the concept of linguistic ease, by which we mean the full social and communicative freedom of concern of the speaker in a given social interaction involving the use of language(s present in the society, according to the social norms of use. To acquire an acceptable degree of linguistic ease, the knowledge of at least one L2 is considered important. But the acquisition of a L2 is interfered by the previous linguistic skills of the learner/speaker who, in many cases, does not have a suitable competence even of the languages of the society in which he/she lives.

Prediction of flood abnormalities for improved public safety using a modified adaptive neuro-fuzzy inference system.

Science.gov (United States)

Aqil, M; Kita, I; Yano, A; Nishiyama, S

2006-01-01

It is widely accepted that an efficient flood alarm system may significantly improve public safety and mitigate economical damages caused by inundations. In this paper, a modified adaptive neuro-fuzzy system is proposed to modify the traditional neuro-fuzzy model. This new method employs a rule-correction based algorithm to replace the error back propagation algorithm that is employed by the traditional neuro-fuzzy method in backward pass calculation. The final value obtained during the backward pass calculation using the rule-correction algorithm is then considered as a mapping function of the learning mechanism of the modified neuro-fuzzy system. Effectiveness of the proposed identification technique is demonstrated through a simulation study on the flood series of the Citarum River in Indonesia. The first four-year data (1987 to 1990) was used for model training/calibration, while the other remaining data (1991 to 2002) was used for testing the model. The number of antecedent flows that should be included in the input variables was determined by two statistical methods, i.e. autocorrelation and partial autocorrelation between the variables. Performance accuracy of the model was evaluated in terms of two statistical indices, i.e. mean average percentage error and root mean square error. The algorithm was developed in a decision support system environment in order to enable users to process the data. The decision support system is found to be useful due to its interactive nature, flexibility in approach, and evolving graphical features, and can be adopted for any similar situation to predict the streamflow. The main data processing includes gauging station selection, input generation, lead-time selection/generation, and length of prediction. This program enables users to process the flood data, to train/test the model using various input options, and to visualize results. The program code consists of a set of files, which can be modified as well to match other

The linguistically aware teacher and the teacher-aware linguist.

Science.gov (United States)

McCartney, Elspeth; Ellis, Sue

2013-07-01

This review evaluates issues of teacher linguistic knowledge relating to their work with children with speech, language and communication difficulties (SLCD). Information is from Ellis and McCartney [(2011a). Applied linguistics and primary school teaching. Cambridge: Cambridge University Press], a state-of-the-art text deriving from a British Association of Applied Linguistics/Cambridge University Press expert seminar series that details: linguistic research underpinning primary school curricula and pedagogy; the form of linguistic knowledge useful for teachers supporting children with SLCD in partnership with speech and language therapists; and how and when teachers acquire and learn to apply such knowledge. Critical analysis of the options presented for teacher learning indicate that policy enjoinders now include linguistic application as an expected part of teachers' professional knowledge, for all children including those with SLCD, but there is a large unmet learning need. It is concluded that there is a role for clinical linguists to disseminate useable knowledge to teachers in an accessible format. Ways of achieving this are considered.

ALGORITAMSKA I HEURISTIČKA OBRADA LEKSIČKIH PODATAKA U RAČUNALNOM PREVODIOCU NeuroTran

OpenAIRE

Končar, Nenad; Šipka, Danko

1998-01-01

Obrada leksičkih podataka (u najširem mogućem značenju tog termina) u računalnom prevodiocu NeuroTran vrši se na osnovi pravila pod nazivom gramatika minimalne informacije (skraceno MIG, po engleskoj skraćenici za Minimal Information Grammar). Tri ideje u osnovi su programa NeuroTran i MIG-a. Prva postulira da treba minimalizirati informaciju potrebnu programu da radi, a da nove informacije program treba usvajati čitajući tekstove i komunicirajući s korisnicima, koristeći pri tom neuronske mr...

A neuro-immune, neuro-oxidative and neuro-nitrosative model of prenatal and postpartum depression.

Science.gov (United States)

Roomruangwong, Chutima; Anderson, George; Berk, Michael; Stoyanov, Drozdstoy; Carvalho, André F; Maes, Michael

2018-02-02

A large body of evidence indicates that major affective disorders are accompanied by activated neuro-immune, neuro-oxidative and neuro-nitrosative stress (IO&NS) pathways. Postpartum depression is predicted by end of term prenatal depressive symptoms whilst a lifetime history of mood disorders appears to increase the risk for both prenatal and postpartum depression. This review provides a critical appraisal of available evidence linking IO&NS pathways to prenatal and postpartum depression. The electronic databases Google Scholar, PubMed and Scopus were sources for this narrative review focusing on keywords, including perinatal depression, (auto)immune, inflammation, oxidative, nitric oxide, nitrosative, tryptophan catabolites (TRYCATs), kynurenine, leaky gut and microbiome. Prenatal depressive symptoms are associated with exaggerated pregnancy-specific changes in IO&NS pathways, including increased C-reactive protein, advanced oxidation protein products and nitric oxide metabolites, lowered antioxidant levels, such as zinc, as well as lowered regulatory IgM-mediated autoimmune responses. The latter pathways coupled with lowered levels of endogenous anti-inflammatory compounds, including ω3 polyunsaturated fatty acids, may also underpin the pathophysiology of postpartum depression. Although increased bacterial translocation, lipid peroxidation and TRYCAT pathway activation play a role in mood disorders, similar changes do not appear to be relevant in perinatal depression. Some IO&NS biomarker characteristics of mood disorders are found in prenatal depression indicating that these pathways partly contribute to the association of a lifetime history of mood disorders and perinatal depression. However, available evidence suggests that some IO&NS pathways differ significantly between perinatal depression and mood disorders in general. This review provides a new IO&NS model of prenatal and postpartum depression. Copyright © 2017 Elsevier Inc. All rights reserved.

Radioisotopic Imaging of Neuro-inflammation

International Nuclear Information System (INIS)

Winkeler, A.; Boisgard, R.; Martin, M.; Tavitian, B.

2010-01-01

Inflammatory responses are closely associated with many neurologic disorders and influence their outcome. In vivo imaging can document events accompanying neuro-inflammation, such as changes in blood flow, vascular permeability, tightness of the blood-to-brain barrier, local metabolic activity, and expression of specific molecular targets. Here, we briefly review current methods for imaging neuro-inflammation, with special emphasis on nuclear imaging techniques. (authors)

Automated Extraction of Substance Use Information from Clinical Texts.

Science.gov (United States)

Wang, Yan; Chen, Elizabeth S; Pakhomov, Serguei; Arsoniadis, Elliot; Carter, Elizabeth W; Lindemann, Elizabeth; Sarkar, Indra Neil; Melton, Genevieve B

2015-01-01

Within clinical discourse, social history (SH) includes important information about substance use (alcohol, drug, and nicotine use) as key risk factors for disease, disability, and mortality. In this study, we developed and evaluated a natural language processing (NLP) system for automated detection of substance use statements and extraction of substance use attributes (e.g., temporal and status) based on Stanford Typed Dependencies. The developed NLP system leveraged linguistic resources and domain knowledge from a multi-site social history study, Propbank and the MiPACQ corpus. The system attained F-scores of 89.8, 84.6 and 89.4 respectively for alcohol, drug, and nicotine use statement detection, as well as average F-scores of 82.1, 90.3, 80.8, 88.7, 96.6, and 74.5 respectively for extraction of attributes. Our results suggest that NLP systems can achieve good performance when augmented with linguistic resources and domain knowledge when applied to a wide breadth of substance use free text clinical notes.

Linguistic Polyphony

DEFF Research Database (Denmark)

Nølke, Henning

on the Scandinavian variant of polyphony, ScaPoLine. ScaPoLine is a formal linguistic theory whose main purpose is to specify the instructions conveyed through linguistic form for the creation of polyphonic meaning. The theoretical introduction is followed by polyphonic analyses of linguistic phenomena...

Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP

Science.gov (United States)

Kaggal, Vinod C.; Elayavilli, Ravikumar Komandur; Mehrabi, Saeed; Pankratz, Joshua J.; Sohn, Sunghwan; Wang, Yanshan; Li, Dingcheng; Rastegar, Majid Mojarad; Murphy, Sean P.; Ross, Jason L.; Chaudhry, Rajeev; Buntrock, James D.; Liu, Hongfang

2016-01-01

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future. PMID:27385912

[To strengthen the education on basic knowledge and skills of neuro-ophthalmology].

Science.gov (United States)

Zhang, Xiao-jun; Wang, Ning-li

2011-12-01

Basic knowledge and skills are cornerstone of the diagnosis and treatment of neuro-ophthalmology diseases in ophthalmology practice. Due to the interdisciplinary features of neuro-ophthalmology, neuro-anatomy, neuro-physiology related to eyes, neuro-image and neuro-electrodiagnosis, these should be included in the education for the ophthalmologist. Special attention should be paid to training on capability of logically thinking in neuro-ophthalmology. Multiple ways can be used for the education of ophthalmologists and neurologists for the enhancement of basic knowledge and skills of neuro-ophthalmology in China.

The Use of Neuro-Linguistic Programming Model for Learning Success.

Science.gov (United States)

Woerner, Janet J.; Stonehouse, Harold B.

1988-01-01

This model is useful in identifying specific learning problems and in providing techniques for the teacher to motivate and teach students at all levels. What it is and how it can be used are discussed, illustrated by specific strategies for geometry and science. (MNS)

An Exploratory Study of Neuro Linguistic Programming and Communication Anxiety

Science.gov (United States)

1993-12-01

consciously consider "what is the best thing to do with what is available now for this situation" even this might be done subconsciously . We are reacting, not...with a great deal of experience to support you during this reprogramming . 6. Reframing In 1982, Bandler and Grinder published Reframing, which

A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

OpenAIRE

Herrera, F.; Herrera-Viedma, Enrique; Martinez, L.

2008-01-01

Many real problems dealing with qualitative aspects use linguistic approaches to assess such aspects. In most of these problems, a uniform and symmetrical distribution of the linguistic term sets for linguistic modeling is assumed. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets that are not uniformly and symmetrically distributed. The use of linguistic variables implies processes of computing with words...

MRI in neuro-Behcet's disease

International Nuclear Information System (INIS)

Tali, E.T.; Atilla, S.; Keskin, T.; Simonson, T.; Isik, S.; Yuh, W.T.C.

1997-01-01

Our purpose was to characterise specific MRI findings and to determine their value in neuro-Behcet's disease. We examined 17 patients (14 men, 3 women) with neuro-Behcet's disease using T1- and T2-weighted spin-echo images and contrast-enhanced images at 0.5 T. There were 13 patients (76.5 %) who had single or multiple lesions. Most of these were in the basal ganglia, brain stem or deep white matter region, giving high signal on T2-weighted images and isointense or low signal on T1-weighted images. In 3 cases (17.6 %) there was linear high signal along the posterior limb of the internal capsule on T2-weighted images. This was considered as a potential differentiating feature of neuro-Behcet's disease. Contrast-enhancement was seen in 17 lesions in 7 patients. (orig.). With 5 figs., 2 tabs

Magnetic resonance imaging in neuro-Behcet's disease

International Nuclear Information System (INIS)

Kojima, Shigeyuki; Fukutake, Toshio; Hirayama, Keizo; Iwamoto, Itsuo

1987-01-01

In four patients with neuro-Behcet's disease, the findings of magnetic resonance imaging (MRI) were evaluated in comparison with the results of X-ray computed tomography (CT), especially for brainstem lesions. MRI was able to reveal brainstem lesions in three patients, in addition to lesions of basal ganglia, internal capsule and thalamus in the same patients. In contrast, X-ray CT demonstrated lesions of basal ganglia and internal capsule in only one patient, and it did not detect any brainstem lesions. Non-specific findings, including cerebral and brainstem atrophy, were revealed more clearly in inversion recovery images than in X-ray CT. Spin echo images were superior to inversion recovery images for detecting the lesions of demyelination, necrosis, gliosis and so on in neuro-Behcet's disease. The brainstem lesions visualized by MRI were situated in the regions of the basis pontis, cerebral peduncle and tectum of the midbrain. In neuro-Behcet's disease, the main pathological lesions are known occur in the ventral parts of the brainstem, but X-ray CT cannot always reveale these brainstem lesions because it produces bone artifacts. For this reason, the X-ray CT findings of neuro-Behcet's disease reported previously have been nonspecific cerebral or brainstem atrophy and decreased attenuations in the basal ganglia or subcortical white matter. Thus it is generally difficult to differentiate neuro-Behcet's disease from other intracranial lesions on the basis of the supratentorial X-ray CT findings. However, the above mentioned brainstem lesions visualized by MRI are consistent with the pathologically preferential site in neuro-Behcet's disease, and MRI can assist in the clinical diagnosis of neuro-Behcet's disease by demonstrating the brainstem lesions clearly, even when neurological involvement precedes the typical dermatologic and ophthalmologic manifestations. (author)

Updates from the 2013 Society for Neuro-Oncology annual and World Federation for Neuro-Oncology quadrennial meeting.

Science.gov (United States)

Lukas, Rimas V; Amidei, Christina

2014-01-01

We present an overview of a number of key clinical studies in infiltrating gliomas presented at the 2013 Society for Neuro-Oncology and World Federation of Neuro-Oncology joint meeting. This review focuses on efficacy results, including quality of life studies, from larger clinical trials in both high- and low-grade infiltrating gliomas.

2nd International Conference on NeuroRehabilitation

CERN Document Server

Andersen, Ole; Akay, Metin

2014-01-01

The book is the proceedings of the 2nd International Conference on NeuroRehabilitation (ICNR 2014), held 24th-26th June 2014 in Aalborg, Denmark. The conference featured the latest highlights in the emerging and interdisciplinary field of neural rehabilitation engineering and identified important healthcare challenges the scientific community will be faced with in the coming years. Edited and written by leading experts in the field, the book includes keynote papers, regular conference papers, and contributions to special and innovation sessions, covering the following main topics: neuro-rehabilitation applications and solutions for restoring impaired neurological functions; cutting-edge technologies and methods in neuro-rehabilitation; and translational challenges in neuro-rehabilitation. Thanks to its highly interdisciplinary approach, the book will not only be a  highly relevant reference guide for academic researchers, engineers, neurophysiologists, neuroscientists, physicians and physiotherapists workin...

Performance evaluation and calibration of the neuro-pet scanner

International Nuclear Information System (INIS)

Sank, V.J.; Brooks, R.A.; Cascio, H.E.; Di Chiro, G.; Friauf, W.S.; Leighton, S.B.

1983-01-01

The Neuro-PET is a circular ring seven-slice positron emission tomograph designed for imaging human heads and small animals. The scanner uses 512 bismuth germanate detectors 8.25 mm wide packed tightly together in four layers to achieve high spatial resolution (6-7 mm FWHM) without the use of beam blockers. Because of the small 38 cm ring diameter, the sensitivity is also very high: 70,000 c/s per true slice with medium energy threshold (375 keV) for a 20 cm diameter phantom containing 1 μCi/cc of positron-emitting activity, according to a preliminary measurement. There are three switch-selectable thresholds, and the sensitivity will be higher in the low threshold setting. The Neuro-PET is calibrated with a round or elliptical phantom that approximates a patient's head; this method eliminates the effects of scatter and self-attenuation to first order. Further software corrections for these artifacts are made in the reconstruction program, which reduce the measured scatter to zero, as determined with a 5 cm cold spot. With a 1 cm cold spot, the apparent activity at the center of the cold spot is 18% of the surrounding activity, which is clearly a consequence of the limits of spatial resolution, rather than scatter. The Neuro-PET has been in clinical operation since June 1982, and approximately 30 patients have been scanned to date

From ‘Hard’ Neuro-Tools to ‘Soft’ Neuro-Toys? : Refocussing the Neuro-Enhancement Debate

NARCIS (Netherlands)

Brenninkmeijer, Jonna; Zwart, Hub

2016-01-01

Since the 1990’s, the debate concerning the ethical, legal and societal aspects of ‘neuro-enhancement’ has evolved into a massive discourse, both in the public realm and in the academic arena. This ethical debate, however, tends to repeat the same sets of arguments over and over again. Normative

Neuro-epistemology: a post-modernist analysis of the neuro ...

African Journals Online (AJOL)

This paper examines the theoretical framework in which we construct our terms of reference when examining patients from an integrated Meyerian biopsychosocial perspective. We coin the term iยDneuro-epistemologylo, defining the frame for scientific inquiry into the nature and status of knowledge in neuro-sciences, ...

Research in the School of Languages and Linguistics at Griffith University

Science.gov (United States)

Fenton-Smith, Ben; Walkinshaw, Ian

2014-01-01

Griffith University is set across five campuses in south-east Queensland, Australia, and has a student population of 43,000. The School of Languages and Linguistics (LAL) offers programs in linguistics, international English, Chinese, Italian, Japanese and Spanish, as well as English language enhancement courses. Research strands reflect the…

NeuroCharter: A Neural Networks Software to Visually Discover the Effects and Contributions between Interrelated Features

Directory of Open Access Journals (Sweden)

Mohammad N. Elnesr

2017-09-01

Full Text Available NeuroCharter is an open-source software that helps in prediction problems in scientific research through artificial neural networks. The program is designed mainly for researchers who focus on details of the neural-network’s parameters, in addition to easy reuse of the trained network. The program outputs almost all the necessary graphs regarding the network and features contributions and relative outputs for both numeric and categorical features. The program was implemented in Python 2.7.11 and is open sourced for reuse and future development. The program consists of four main classes, one for the neural networks calculation, one for data manipulation, one for plotting the neural network, and the main class that manages and links the other classes. The source code and some experimental data are freely available at the GitHub code repository http://j.mp/NeuroCharter.   Funding Statement: The project was financially supported by King Saud University, Vice Deanship of Research Chairs.

Randomized, multicenter, comparative study of NEURO versus CIMT in poststroke patients with upper limb hemiparesis: the NEURO-VERIFY Study.

Science.gov (United States)

Abo, Masahiro; Kakuda, Wataru; Momosaki, Ryo; Harashima, Hiroaki; Kojima, Miki; Watanabe, Shigeto; Sato, Toshihiro; Yokoi, Aki; Umemori, Takuma; Sasanuma, Jinichi

2014-07-01

Many poststroke patients suffer functional motor limitation of the affected upper limb, which is associated with diminished health-related quality of life. The aim of this study is to conduct a randomized, multicenter, comparative study of low-frequency repetitive transcranial magnetic stimulation combined with intensive occupational therapy, NEURO (NovEl intervention Using Repetitive TMS and intensive Occupational therapy) versus constraint-induced movement therapy in poststroke patients with upper limb hemiparesis. In this randomized controlled study of NEURO and constraint-induced movement therapy, 66 poststroke patients with upper limb hemiparesis were randomly assigned at 2:1 ratio to low-frequency repetitive transcranial magnetic stimulation plus occupational therapy (NEURO group) or constraint-induced movement therapy (constraint-induced movement therapy group) for 15 days. Fugl-Meyer Assessment and Wolf Motor Function Test and Functional Ability Score of Wolf Motor Function Test were used for assessment. No differences in patients' characteristics were found between the two groups at baseline. The Fugl-Meyer Assessment score was significantly higher in both groups after the 15-day treatment compared with the baseline. Changes in Fugl-Meyer Assessment scores and Functional Ability Score of Wolf Motor Function Test were significantly higher in the NEURO group than in the constraint-induced movement therapy group, whereas the decrease in the Wolf Motor Function Test log performance time was comparable between the two groups (changes in Fugl-Meyer Assessment score, NEURO: 5·39 ± 4·28, constraint-induced movement therapy: 3·09 ± 4·50 points; mean ± standard error of the mean; P < 0·05) (changes in Functional Ability Score of Wolf Motor Function Test, NEURO: 3·98 ± 2·99, constraint-induced movement therapy: 2·09 ± 2·96 points; P < 0·05). The results of the 15-day rehabilitative protocol showed the superiority of NEURO

Efficacy of neurolinguistic programming training on mental health in nursing and midwifery students

Science.gov (United States)

Sahebalzamani, Mohammad

2014-01-01

Background: Neurolinguistic programming (NLP) refers to the science and art of reaching success and perfection. It is a collection of the skills based on human beings’ psychological characteristics through which the individuals obtain the ability to use their personal capabilities as much as possible. This study aimed to investigate the efficacy of NLP training on mental health in nursing and midwifery students in Islamic Azad University Tehran Medical Sciences branch. Materials and Methods: In this quasi-experimental study, the study population comprised all nursing and midwifery students in Islamic Azad University, Tehran Medical branch, of whom 52 were selected and assigned to two groups through random sampling. Data collection tool was Goldberg General Health Questionnaire (28-item version). After primary evaluation, NLP training was given in five 120-min sessions and the groups were re-evaluated. The obtained data were analyzed. Results: In the nursing group, paired t-test showed a significant difference in the scores of mental health (with 39 points decrease), physical signs (with 7.96 scores decrease), anxiety (with 10.75 scores decrease), social function (with 7.05 scores decrease) and depression (with 9.38 scores decrease). In the midwifery group, it showed a significant difference in mental health (with 22.63 scores decrease), physical signs (with 6.54 scores decrease), anxiety (with nine scores decrease), and depression (with 8.38 scores decrease). Conclusions: This study showed that NLP strategies are effective in the improvement of general health and its various dimensions. Therefore, it is essential to conduct structured and executive programs concerning NLP among the students. PMID:25400679

Efficacy of neurolinguistic programming training on mental health in nursing and midwifery students.

Science.gov (United States)

Sahebalzamani, Mohammad

2014-09-01

Neurolinguistic programming (NLP) refers to the science and art of reaching success and perfection. It is a collection of the skills based on human beings' psychological characteristics through which the individuals obtain the ability to use their personal capabilities as much as possible. This study aimed to investigate the efficacy of NLP training on mental health in nursing and midwifery students in Islamic Azad University Tehran Medical Sciences branch. In this quasi-experimental study, the study population comprised all nursing and midwifery students in Islamic Azad University, Tehran Medical branch, of whom 52 were selected and assigned to two groups through random sampling. Data collection tool was Goldberg General Health Questionnaire (28-item version). After primary evaluation, NLP training was given in five 120-min sessions and the groups were re-evaluated. The obtained data were analyzed. In the nursing group, paired t-test showed a significant difference in the scores of mental health (with 39 points decrease), physical signs (with 7.96 scores decrease), anxiety (with 10.75 scores decrease), social function (with 7.05 scores decrease) and depression (with 9.38 scores decrease). In the midwifery group, it showed a significant difference in mental health (with 22.63 scores decrease), physical signs (with 6.54 scores decrease), anxiety (with nine scores decrease), and depression (with 8.38 scores decrease). This study showed that NLP strategies are effective in the improvement of general health and its various dimensions. Therefore, it is essential to conduct structured and executive programs concerning NLP among the students.

Corpus linguistics and statistics with R introduction to quantitative methods in linguistics

CERN Document Server

Desagulier, Guillaume

2017-01-01

This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and t...

Significance of head CT in neuro-ophthalmology

International Nuclear Information System (INIS)

Nishimoto, Yuichiro; Masuyama, Yoshimasa; Nakamura, Yasuko; Fujimoto, Toshiro.

1979-01-01

It is important to perform CT purposefully in patients with some neuro-ophthalmological disorders. Using Hitachi CT-H250 with the finer matrix of 256 x 256 and a section thickness of 5 mm and 10 mm, we performed head CT in 98 patients with various kinds of neuro-ophthalmological disorders in these 30 months. Neuro-ophthalmological findings in these patients were visual disturbance, visual field defects (hemianopsia, quandrantanopsia, enlargement of the blind spot, central scotoma), papilledema, optic nerve atrophy, difficulties in ocular movements, and others. In 44 (44.9%) of these 98 patients, abnormal findings were displayed in the head CT, characterizing intracranial tumors, intracranial infarction, aneurysms in intracranial vessels, arterio-venous malformation, enlargement of the ventricle or the cistern. In some cases the head CT was the decisive procedure in ensuring a correct diagnosis. We presented findings in the head CT in several interesting cases. We recognized the necessity of the head CT in patients with neuro-ophthalmological disorders. (author)

Accelerating Translational Research through Open Science: The Neuro Experiment.

Science.gov (United States)

Gold, E Richard

2016-12-01

Translational research is often afflicted by a fundamental problem: a limited understanding of disease mechanisms prevents effective targeting of new treatments. Seeking to accelerate research advances and reimagine its role in the community, the Montreal Neurological Institute (Neuro) announced in the spring of 2016 that it is launching a five-year experiment during which it will adopt Open Science-open data, open materials, and no patenting-across the institution. The experiment seeks to examine two hypotheses. The first is whether the Neuro's Open Science initiative will attract new private partners. The second hypothesis is that the Neuro's institution-based approach will draw companies to the Montreal region, where the Neuro is based, leading to the creation of a local knowledge hub. This article explores why these hypotheses are likely to be true and describes the Neuro's approach to exploring them.

Accelerating Translational Research through Open Science: The Neuro Experiment.

Directory of Open Access Journals (Sweden)

E Richard Gold

2016-12-01

Full Text Available Translational research is often afflicted by a fundamental problem: a limited understanding of disease mechanisms prevents effective targeting of new treatments. Seeking to accelerate research advances and reimagine its role in the community, the Montreal Neurological Institute (Neuro announced in the spring of 2016 that it is launching a five-year experiment during which it will adopt Open Science-open data, open materials, and no patenting-across the institution. The experiment seeks to examine two hypotheses. The first is whether the Neuro's Open Science initiative will attract new private partners. The second hypothesis is that the Neuro's institution-based approach will draw companies to the Montreal region, where the Neuro is based, leading to the creation of a local knowledge hub. This article explores why these hypotheses are likely to be true and describes the Neuro's approach to exploring them.

LDC Arabic Treebanks and Associated Corpora: Data Divisions Manual

OpenAIRE

Diab, Mona; Habash, Nizar; Rambow, Owen; Roth, Ryan

2013-01-01

The Linguistic Data Consortium (LDC) has developed hundreds of data corpora for natural language processing (NLP) research. Among these are a number of annotated treebank corpora for Arabic. Typically, these corpora consist of a single collection of annotated documents. NLP research, however, usually requires multiple data sets for the purposes of training models, developing techniques, and final evaluation. Therefore it becomes necessary to divide the corpora used into the required data sets...

Some thoughts on economy within linguistics

Directory of Open Access Journals (Sweden)

URIAGEREKA Juan

2000-01-01

Full Text Available One of the cornerstones of Chomsky's Minimalist Program is the role played by economy. This paper discusses different ways in which Chomsky's notion of economy in linguistics can be understood, given current views on dynamic systems and, in particular, on evolution in biological systems.

[Neuro-ophthalmology: the eye as a window to the brain].

Science.gov (United States)

Kesler, Anat

2013-02-01

Neuro-ophthalmology focuses on the diagnosis and treatment of visual disorders related to the neurological system rather than the globe itself. Being a subspecialty of both neurology and ophthalmology, it requires specialized training and expertise in diseases of the eye, brain, nerves and muscles. Commonly encountered pathologies in neuro-ophthalmology include: optic neuropathies (such as optic neuritis and ischemic optic neuropathy), visual field loss (transient, constant, unexplained), transient visual loss, unspecified visual disturbances, diplopia, abnormal eye movements, thyroid eye disease, myasthenia gravis, anisocoria, and eyelid abnormalities. The current issue of "Harefuah" is dedicated to contemporary knowledge in neuro-opthalmology, and spans from studies of neuromyelitis optica (NMO), ischemic optic neuropathies, and optic neuropathies induced by phosphodiesterase inhibitors, to the management of sight-threatening carotid-cavernous fistulas, and more. These studies emphasize the importance of an interdisciplinary treatment team consisting of a neuro-ophthalmologist, a neuro-radiologist, and sometimes, even a neuro-surgeon. Such an approach may prove to be beneficial to the patient, by optimizing follow-up and treatment decisions. This issue emphasizes how a correct and timely diagnosis is of paramount significance in patients with neuro-ophthalmological disorders.

When technology became language: the origins of the linguistic conception of computer programming, 1950-1960.

Science.gov (United States)

Nofre, David; Priestley, Mark; Alberts, Gerard

2014-01-01

Language is one of the central metaphors around which the discipline of computer science has been built. The language metaphor entered modern computing as part of a cybernetic discourse, but during the second half of the 1950s acquired a more abstract meaning, closely related to the formal languages of logic and linguistics. The article argues that this transformation was related to the appearance of the commercial computer in the mid-1950s. Managers of computing installations and specialists on computer programming in academic computer centers, confronted with an increasing variety of machines, called for the creation of "common" or "universal languages" to enable the migration of computer code from machine to machine. Finally, the article shows how the idea of a universal language was a decisive step in the emergence of programming languages, in the recognition of computer programming as a proper field of knowledge, and eventually in the way we think of the computer.

The Danish Neuro-Oncology Registry

DEFF Research Database (Denmark)

Hansen, Steinbjørn; Nielsen, Jan; Laursen, René J

2016-01-01

BACKGROUND: The Danish Neuro-Oncology Registry (DNOR) is a nationwide clinical cancer database that has prospectively registered data on patients with gliomas since January 2009. The purpose of this study was to describe the establishment of the DNOR and further to evaluate the database completen......BACKGROUND: The Danish Neuro-Oncology Registry (DNOR) is a nationwide clinical cancer database that has prospectively registered data on patients with gliomas since January 2009. The purpose of this study was to describe the establishment of the DNOR and further to evaluate the database...

Annual Review of Applied Linguistics, 1983.

Science.gov (United States)

Kaplan, Robert B., Ed.; And Others

A collection of reports on literacy and literacy issues includes a variety of perspectives and descriptions of diverse programs and is divided into three sections. The first examines broad questions of literacy: "On the Study of Literacy" (David Bendor-Samuel); "Linguistics and Literacy" (Gloria Kindell); and "Literacy in…

Structural analysis of papain-like NlpC/P60 superfamily enzymes with a circularly permuted topology reveals potential lipid binding sites.

Directory of Open Access Journals (Sweden)

Qingping Xu

Full Text Available NlpC/P60 superfamily papain-like enzymes play important roles in all kingdoms of life. Two members of this superfamily, LRAT-like and YaeF/YiiX-like families, were predicted to contain a catalytic domain that is circularly permuted such that the catalytic cysteine is located near the C-terminus, instead of at the N-terminus. These permuted enzymes are widespread in virus, pathogenic bacteria, and eukaryotes. We determined the crystal structure of a member of the YaeF/YiiX-like family from Bacillus cereus in complex with lysine. The structure, which adopts a ligand-induced, "closed" conformation, confirms the circular permutation of catalytic residues. A comparative analysis of other related protein structures within the NlpC/P60 superfamily is presented. Permutated NlpC/P60 enzymes contain a similar conserved core and arrangement of catalytic residues, including a Cys/His-containing triad and an additional conserved tyrosine. More surprisingly, permuted enzymes have a hydrophobic S1 binding pocket that is distinct from previously characterized enzymes in the family, indicative of novel substrate specificity. Further analysis of a structural homolog, YiiX (PDB 2if6 identified a fatty acid in the conserved hydrophobic pocket, thus providing additional insights into possible function of these novel enzymes.

Structure of neuro-endocrine and neuro-epithelial interactions in human foetal pancreas.

Science.gov (United States)

Krivova, Yuliya; Proshchina, Alexandra; Barabanov, Valeriy; Leonova, Olga; Saveliev, Sergey

2016-12-01

In the pancreas of many mammals including humans, endocrine islet cells can be integrated with the nervous system components into neuro-insular complexes. The mechanism of the formation of such complexes is not clearly understood. The present study evaluated the interactions between the nervous system components, epithelial cells and endocrine cells in the human pancreas. Foetal pancreas, gestational age 19-23 weeks (13 cases) and 30-34 weeks (7 cases), were studied using double immunohistochemical labeling with neural markers (S100 protein and beta III tubulin), epithelial marker (cytokeratin 19 (CK19)) and antibodies to insulin and glucagon. We first analyse the structure of neuro-insular complexes using confocal microscopy and provide immunohistochemical evidences of the presence of endocrine cells within the ganglia or inside the nerve bundles. We showed that the nervous system components contact with the epithelial cells located in ducts or in clusters outside the ductal epithelium and form complexes with separate epithelial cells. We observed CK19-positive cells inside the ganglia and nerve bundles which were located separately or were integrated with the islets. Therefore, we conclude that neuro-insular complexes may forms as a result of integration between epithelial cells and nervous system components at the initial stages of islets formation. Copyright © 2016 Elsevier Ltd. All rights reserved.

Using Routine Data for Quality Assessment in NeuroNet Telestroke Care

DEFF Research Database (Denmark)

Theiss, Stephan; Günzel, Franziska; Storm, Anna

2013-01-01

: Routine clinical data from the HELIOS hospital information system were compared before and after implementation of the NeuroNet concept, including neurologic acute stroke teleconsultations, standard operating procedures, and peer review quality management in 3 hospital cohorts: 5 comprehensive stroke...... centers, 5 NeuroNet hospitals, and 5 matched control hospitals. RESULTS: During the study period, the rate of thrombolytic therapy increased by 4.8% in NeuroNet hospitals, while ischemic stroke in-hospital mortality decreased (relative risk reduction ∼29% in NeuroNet and control hospitals). The odds ratio...... for thrombolytic therapy in comprehensive stroke centers compared to NeuroNet hospitals was reduced from 3.7 to 1.3 between 2006 and 2009. Comprehensive stroke care coding according to German Diagnosis Related Groups definitions increased by 45% in NeuroNet (P

Linguistic Structure Prediction

CERN Document Server

Smith, Noah A

2011-01-01

A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. W

NIH NeuroBioBank

Data.gov (United States)

Federal Laboratory Consortium — The NIH NeuroBioBank (NBB), supported by the National Institute of Mental Health, the National Institute of Neurological Disorders and Stroke, and the Eunice Kennedy...

Ophthalmologic Findings in Patients with Neuro-metabolic Disorders.

Science.gov (United States)

Jafari, Narjes; Golnik, Karl; Shahriari, Mansoor; Karimzadeh, Parvaneh; Jabbehdari, Sayena

2018-01-01

We aimed to present the ophthalmic manifestations of neuro-metabolic disorders. Patients who were diagnosed with neuro-metabolic disorders in the Neurology Department of Mofid Pediatric Hospital in Tehran, Iran, between 2004 and 2014 were included in this study. Disorders were confirmed using clinical findings, neuroimaging, laboratory data, and genomic analyses. All enrolled patients were assessed for ophthalmological abnormalities. A total of 213 patients with 34 different neuro-metabolic disorders were included. Ophthalmological abnormalities were observed in 33.5% of patients. Abnormal findings in the anterior segment included Kayser-Fleischer rings, congenital or secondary cataracts, and lens dislocation into the anterior chamber. Posterior segment (i.e., retina, vitreous body, and optic nerve) evaluation revealed retinitis pigmentosa, cherry-red spots, and optic atrophy. In addition, strabismus, nystagmus, and lack of fixation were noted during external examination. Ophthalmological examination and assessment is essential in patients that may exhibit neuro-metabolic disorders.

Intracranial Aneurysms of Neuro-Ophthalmologic Relevance.

Science.gov (United States)

Micieli, Jonathan A; Newman, Nancy J; Barrow, Daniel L; Biousse, Valérie

2017-12-01

Intracranial saccular aneurysms are acquired lesions that often present with neuro-ophthalmologic symptoms and signs. Recent advances in neurosurgical techniques, endovascular treatments, and neurocritical care have improved the optimal management of symptomatic unruptured aneurysms, but whether the chosen treatment has an impact on neuro-ophthalmologic outcomes remains debated. A review of the literature focused on neuro-ophthalmic manifestations and treatment of intracranial aneurysms with specific relevance to neuro-ophthalmologic outcomes was conducted using Ovid MEDLINE and EMBASE databases. Cavernous sinus aneurysms were not included in this review. Surgical clipping vs endovascular coiling for aneurysms causing third nerve palsies was compared in 13 retrospective studies representing 447 patients. Complete recovery was achieved in 78% of surgical patients compared with 44% of patients treated with endovascular coiling. However, the complication rate, hospital costs, and days spent in intensive care were reported as higher in surgically treated patients. Retrospective reviews of surgical clipping and endovascular coiling for all ocular motor nerve palsies (third, fourth, or sixth cranial nerves) revealed similar results of complete resolution in 76% and 49%, respectively. Improvement in visual deficits related to aneurysmal compression of the anterior visual pathways was also better among patients treated with clipping than with coiling. The time to treatment from onset of visual symptoms was a predictive factor of visual recovery in several studies. Few reports have specifically assessed the improvement of visual deficits after treatment with flow diverters. Decisions regarding the choice of therapy for intracranial aneurysms causing neuro-ophthalmologic signs ideally should be made at high-volume centers with access to both surgical and endovascular treatments. The status of the patient, location of the aneurysm, and experience of the treating physicians

[Neurolinguistic programming in physician-patient communication. Basic principles of the procedure--examples for application in surgery].

Science.gov (United States)

Graf, U

1995-09-20

Neurolinguistic programming (NLP) is a means of improving physician-patient communication that can be learned by any doctor. The present article first describes some of the fundamentals of NLP and then provides examples taken from the field of surgery-in the first instance dealing with the treatment of painful conditions by means of trance or dissociation and, secondly, on the influencing of expectations and the restructuring (reframing) of doctrines in a patient with malignant disease.

Probabilistic linguistics

NARCIS (Netherlands)

Bod, R.; Heine, B.; Narrog, H.

2010-01-01

Probabilistic linguistics takes all linguistic evidence as positive evidence and lets statistics decide. It allows for accurate modelling of gradient phenomena in production and perception, and suggests that rule-like behaviour is no more than a side effect of maximizing probability. This chapter

BEASTling: A software tool for linguistic phylogenetics using BEAST 2

Science.gov (United States)

Forkel, Robert; Kaiping, Gereon A.; Atkinson, Quentin D.

2017-01-01

We present a new open source software tool called BEASTling, designed to simplify the preparation of Bayesian phylogenetic analyses of linguistic data using the BEAST 2 platform. BEASTling transforms comparatively short and human-readable configuration files into the XML files used by BEAST to specify analyses. By taking advantage of Creative Commons-licensed data from the Glottolog language catalog, BEASTling allows the user to conveniently filter datasets using names for recognised language families, to impose monophyly constraints so that inferred language trees are backward compatible with Glottolog classifications, or to assign geographic location data to languages for phylogeographic analyses. Support for the emerging cross-linguistic linked data format (CLDF) permits easy incorporation of data published in cross-linguistic linked databases into analyses. BEASTling is intended to make the power of Bayesian analysis more accessible to historical linguists without strong programming backgrounds, in the hopes of encouraging communication and collaboration between those developing computational models of language evolution (who are typically not linguists) and relevant domain experts. PMID:28796784

BEASTling: A software tool for linguistic phylogenetics using BEAST 2.

Directory of Open Access Journals (Sweden)

Luke Maurits

Full Text Available We present a new open source software tool called BEASTling, designed to simplify the preparation of Bayesian phylogenetic analyses of linguistic data using the BEAST 2 platform. BEASTling transforms comparatively short and human-readable configuration files into the XML files used by BEAST to specify analyses. By taking advantage of Creative Commons-licensed data from the Glottolog language catalog, BEASTling allows the user to conveniently filter datasets using names for recognised language families, to impose monophyly constraints so that inferred language trees are backward compatible with Glottolog classifications, or to assign geographic location data to languages for phylogeographic analyses. Support for the emerging cross-linguistic linked data format (CLDF permits easy incorporation of data published in cross-linguistic linked databases into analyses. BEASTling is intended to make the power of Bayesian analysis more accessible to historical linguists without strong programming backgrounds, in the hopes of encouraging communication and collaboration between those developing computational models of language evolution (who are typically not linguists and relevant domain experts.

Clinical point of view, imaging and neuro physiology of the case with diagnosis of neuro fibrosarcomas sacrococcigeo

International Nuclear Information System (INIS)

Hernandez Hernandez, Barbara Aymee; Brown Martinez, Marta

2004-01-01

It was considered a case with diagnosis of neuro fibrosarcomas sacrococcigeo, which was very well studied from the clinical point of view, imaging and neuro physiology; with the objective of showing the correlation degree among these studies. He/she was carried out study of nervous conduction of nerve later, reflective tibial H, electromiografia of dependent muscles of the plexo lumbosacro, potentials evoked somatosensoriales and wave F of nerve later tibial. With this the existence of a functional dysfunction was demonstrated in the medullary segments from L4-S2 with prevalence motor. He/she was also carried out mielografia and nuclear magnetic resonance that it evidenced the existence from an expansible process to the level sacrococcigeo. The utility of the neuro physiological studies was demonstrated in the diagnosis of affections tumorales, cocktails with the imagenological studies that define the anatomical alterations and the diagnosis morfofuncional of these pathologies is completed

NeuroD2 regulates the development of hippocampal mossy fiber synapses

Directory of Open Access Journals (Sweden)

Wilke Scott A

2012-02-01

Full Text Available Abstract Background The assembly of neural circuits requires the concerted action of both genetically determined and activity-dependent mechanisms. Calcium-regulated transcription may link these processes, but the influence of specific transcription factors on the differentiation of synapse-specific properties is poorly understood. Here we characterize the influence of NeuroD2, a calcium-dependent transcription factor, in regulating the structural and functional maturation of the hippocampal mossy fiber (MF synapse. Results Using NeuroD2 null mice and in vivo lentivirus-mediated gene knockdown, we demonstrate a critical role for NeuroD2 in the formation of CA3 dendritic spines receiving MF inputs. We also use electrophysiological recordings from CA3 neurons while stimulating MF axons to show that NeuroD2 regulates the differentiation of functional properties at the MF synapse. Finally, we find that NeuroD2 regulates PSD95 expression in hippocampal neurons and that PSD95 loss of function in vivo reproduces CA3 neuron spine defects observed in NeuroD2 null mice. Conclusion These experiments identify NeuroD2 as a key transcription factor that regulates the structural and functional differentiation of MF synapses in vivo.

Treatment of neuro-ophthalmic sarcoidosis.

Science.gov (United States)

Frohman, Larry P

2015-03-01

Because of the rarity of neuro-ophthalmic sarcoidosis, there are no therapeutic guidelines based on evidence-based medicine for this disorder. Review of literature combined with personal experience. Corticosteroids are the preferred initial therapy for neuro-ophthalmic sarcoidosis. If patients cannot tolerate the requisite dose of corticosteroid needed to control their disease, or if corticosteroids fail to adequately control the disease process, the choices of a second agent are based on the consideration of rapidity of clinical response and the safety profile. Although methotrexate and mycophenolate mofetil are the medications that are often selected after corticosteroid failure, more rapidly acting agents that have been used are infliximab and intravenous cyclophosphamide.

Neuro-oncology of CNS tumors

International Nuclear Information System (INIS)

Tonn, J.C.

2006-01-01

Diagnosis and treatment modalities for neuro-oncologic diseases have made considerable advances in recent years. There is hardly a segment of the field of solid tumours that is experiencing such dynamic development with regard to basic scientific findings and clinical results. In the present book the world's leading experts have compiled the current practice-relevant knowledge of neuro-oncologic diseases. The book's clear structure and the uniform presentation of all chapters make this volume a valuable reference, especially for practice-oriented activities, allowing swift access to information about current treatment standards. Hence it will be of great value to both clinicians and researchers. (orig.)

Parent perceptions of the quality of life of pet dogs living with neuro-typically developing and neuro-atypically developing children: An exploratory study.

Science.gov (United States)

Hall, Sophie S; Wright, Hannah F; Mills, Daniel S

2017-01-01

There is growing scientific and societal recognition of the role that pet dogs can play in healthy development of children; both those who are neuro-typically developing and those who live with a neuro-developmental disorder, such as autism or attention deficit hyperactivity disorder. However, little attention has been paid to how living with children positively and negatively affects quality of life of a pet dog. In this exploratory study we conducted semi-structured interviews with parents of neuro-typically developing children (n = 18) and those with a neuro-developmental disorder (n = 18) who owned a pet dog, until no new factors were identified. Living with children brought potentially positive benefits to the dog's life including: imposition of a routine, participation in recreational activities and the development of a strong bond between the child and the dog. The importance of maintaining a routine was particularly prevalent in families with children with neuro-developmental disorders. Potential negative factors included having to cope with child meltdowns and tantrums, over stimulation from child visitors, harsh contact and rough and tumble play with the child. The regularity and intensity of meltdowns and tantrums was particularly evident in responses from parents with children with a neuro-developmental disorder. However, child visitors and rough play and contact were mentioned similarly across the groups. Protective factors included having a safe haven for the dog to escape to, parent's awareness of stress signs and child education in dog-interaction. Parents were also asked to complete a stress response scale to provide an initial quantitative comparison of stress responses between dogs living with the two family-types. Parents with neuro-typically developing children more frequently observed their dog rapidly running away from a situation and less frequently observed their dog widening their eyes, than parents with children with a neuro

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig.

Science.gov (United States)

Sahoo, Satya S; Wei, Annan; Valdez, Joshua; Wang, Li; Zonjy, Bilal; Tatsuoka, Curtis; Loparo, Kenneth A; Lhatoo, Samden D

2016-01-01

The recent advances in neurological imaging and sensing technologies have led to rapid increase in the volume, rate of data generation, and variety of neuroscience data. This "neuroscience Big data" represents a significant opportunity for the biomedical research community to design experiments using data with greater timescale, large number of attributes, and statistically significant data size. The results from these new data-driven research techniques can advance our understanding of complex neurological disorders, help model long-term effects of brain injuries, and provide new insights into dynamics of brain networks. However, many existing neuroinformatics data processing and analysis tools were not built to manage large volume of data, which makes it difficult for researchers to effectively leverage this available data to advance their research. We introduce a new toolkit called NeuroPigPen that was developed using Apache Hadoop and Pig data flow language to address the challenges posed by large-scale electrophysiological signal data. NeuroPigPen is a modular toolkit that can process large volumes of electrophysiological signal data, such as Electroencephalogram (EEG), Electrocardiogram (ECG), and blood oxygen levels (SpO2), using a new distributed storage model called Cloudwave Signal Format (CSF) that supports easy partitioning and storage of signal data on commodity hardware. NeuroPigPen was developed with three design principles: (a) Scalability-the ability to efficiently process increasing volumes of data; (b) Adaptability-the toolkit can be deployed across different computing configurations; and (c) Ease of programming-the toolkit can be easily used to compose multi-step data processing pipelines using high-level programming constructs. The NeuroPigPen toolkit was evaluated using 750 GB of electrophysiological signal data over a variety of Hadoop cluster configurations ranging from 3 to 30 Data nodes. The evaluation results demonstrate that the toolkit

The Neuro-Complex: Some Comments and Convergences

Directory of Open Access Journals (Sweden)

Paul Martin

2011-10-01

Full Text Available In this short think-piece we trace the newly emerging and rapidly expanding dimensions and dynamics of the “neuro-complex.” What this amounts to, we suggest, are a series of bio or neuro “convergences” of sorts regarding the brain and mental worlds, which in turn are traceable through what we term the bio-psych, pharma-psych, subjectivity-selves, wellness-enhancement, and the neuroculture-neurofutures relational nexuses. These issues are then illustrated through two brief case studies regarding brain scanning technologies and the problems and prospects of cognitive enhancement. The paper concludes with some final reflections on these matters and a call for further research in this rich and challenging domain as the neuro-complex continues to expand in expected and unexpected, yet equally rich and fascinating, ways.

From 'Hard' Neuro-Tools to 'Soft' Neuro-Toys? Refocussing the Neuro-Enhancement Debate.

Science.gov (United States)

Brenninkmeijer, Jonna; Zwart, Hub

2017-01-01

Since the 1990's, the debate concerning the ethical, legal and societal aspects of 'neuro-enhancement' has evolved into a massive discourse, both in the public realm and in the academic arena. This ethical debate, however, tends to repeat the same sets of arguments over and over again. Normative disagreements between transhumanists and bioconservatives on invasive or radical brain stimulators, and uncertainties regarding the use and effectivity of nootropic pharmaceuticals dominate the field. Building on the results of an extensive European project on responsible research and innovation in neuro-enhancement (NERRI), we observe and encourage that the debate is now entering a new and, as we will argue, more realistic and societally relevant stage. This new stage concerns those technologies that enter the market as ostensibly harmless contrivances that consumers may use for self-care or entertainment. We use the examples and arguments of participants in NERRI debates to describe three case studies of such purportedly innocent 'toys'. Based upon this empirical material, we argue that these 'soft' enhancement gadgets are situated somewhere in the boundary zone between the internal and the external, between the intimate and the intrusive, between the familiar and the unfamiliar, between the friendly and the scary and, in Foucauldian terms, between technologies of the self and technologies of control. Therefore, we describe their physiognomy with the help of a term borrowed from Jacques Lacan, namely as "extimate" technologies.

Teacher Perceptions of NeuroEducation: A Mixed Methods Survey of Teachers in the United States

Science.gov (United States)

Serpati, Lauren; Loughan, Ashlee R.

2012-01-01

Pickering and Howard-Jones (2007) reported educators' enthusiasm for NeuroEducation from a sample of teachers attending neuroscience professional development courses. Their results revealed teachers: (1) are enthusiastic about the role of neuroscience in education; (2) believe an understanding of the brain for educational program development is…

Clinical PET/MR Imaging in Dementia and Neuro-Oncology

DEFF Research Database (Denmark)

Henriksen, Otto M.; Marner, Lisbeth; Law, Ian

2016-01-01

The introduction of hybrid PET/MRI systems allows simultaneous multimodality image acquisition of high technical quality. This technique is well suited for the brain, and particularly in dementia and neuro-oncology. In routine use combinations of well-established MRI sequences and PET tracers....../MRI using [18F]-fluoro-ethyl-tyrosine (FET) also abide to the expectations of the adaptive and versatile diagnostic tool necessary in neuro-oncology covering both simple 20 min protocols for routine treatment surveillance and complicated 90 min brain and spinal cord protocols in pediatric neuro...

A New Hesitant Fuzzy Linguistic TOPSIS Method for Group Multi-Criteria Linguistic Decision Making

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Fangling Ren

2017-11-01

Full Text Available Hesitant fuzzy linguistic decision making is a focus point in linguistic decision making, in which the main method is based on preference ordering. This paper develops a new hesitant fuzzy linguistic TOPSIS method for group multi-criteria linguistic decision making; the method is inspired by the TOPSIS method and the preference degree between two hesitant fuzzy linguistic term sets (HFLTSs. To this end, we first use the preference degree to define a pseudo-distance between two HFLTSs and analyze its properties. Then we present the positive (optimistic and negative (pessimistic information of each criterion provided by each decision maker and aggregate these by using weights of decision makers to obtain the hesitant fuzzy linguistic positive and negative ideal solutions. On the basis of the proposed pseudo-distance, we finally obtain the positive (negative ideal separation matrix and a new relative closeness degree to rank alternatives. We also design an algorithm based on the provided method to carry out hesitant fuzzy linguistic decision making. An illustrative example shows the elaboration of the proposed method and comparison with the symbolic aggregation-based method, the hesitant fuzzy linguistic TOPSIS method and the hesitant fuzzy linguistic VIKOR method; it seems that the proposed method is a useful and alternative decision-making method.

Linguistic Imperialism

DEFF Research Database (Denmark)

Phillipson, Robert

2013-01-01

The study of linguistic imperialism focuses on how and why certain languages dominate internationally, and attempts to account for such dominance in a theoretically informed way.......The study of linguistic imperialism focuses on how and why certain languages dominate internationally, and attempts to account for such dominance in a theoretically informed way....

Adaptive neuro-fuzzy controller of switched reluctance motor

Directory of Open Access Journals (Sweden)

Tahour Ahmed

2007-01-01

Full Text Available This paper presents an application of adaptive neuro-fuzzy (ANFIS control for switched reluctance motor (SRM speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks. An adaptive neuro-fuzzy controller of the motor speed is then designed and simulated. Digital simulation results show that the designed ANFIS speed controller realizes a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of impact loads disturbance. The results of applying the adaptive neuro-fuzzy controller to a SRM give better performance and high robustness than those obtained by the application of a conventional controller (PI.

Forecasting Water Level Fluctuations of Urmieh Lake Using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System

Directory of Open Access Journals (Sweden)

Sepideh Karimi

2012-06-01

Full Text Available Forecasting lake level at various prediction intervals is an essential issue in such industrial applications as navigation, water resource planning and catchment management. In the present study, two data driven techniques, namely Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System, were applied for predicting daily lake levels for three prediction intervals. Daily water-level data from Urmieh Lake in Northwestern Iran were used to train, test and validate the used techniques. Three statistical indexes, coefficient of determination, root mean square error and variance accounted for were used to assess the performance of the used techniques. Technique inter-comparisons demonstrated that the GEP surpassed the ANFIS model at each of the prediction intervals. A traditional auto regressive moving average model was also applied to the same data sets; the obtained results were compared with those of the data driven approaches demonstrating superiority of the data driven models to ARMA.

What Is Applied Linguistics?

Science.gov (United States)

James, Carl

1993-01-01

Ostensive and expository definitions of applied linguistics are assessed. It is suggested that the key to a meaningful definition lies in the dual articulation of applied linguistics: it is an interface between linguistics and practicality. Its role as an "expert system" is suggested. (45 references) (Author/LB)

INTEGRATING CORPUS-BASED RESOURCES AND NATURAL LANGUAGE PROCESSING TOOLS INTO CALL

Directory of Open Access Journals (Sweden)

Pascual Cantos Gomez

2002-06-01

Full Text Available This paper ainis at presenting a survey of computational linguistic tools presently available but whose potential has been neither fully considered not exploited to its full in modern CALL. It starts with a discussion on the rationale of DDL to language learning, presenting typical DDL-activities. DDL-software and potential extensions of non-typical DDL-software (electronic dictionaries and electronic dictionary facilities to DDL . An extended section is devoted to describe NLP-technology and how it can be integrated into CALL, within already existing software or as stand alone resources. A range of NLP-tools is presentcd (MT programs, taggers, lemn~atizersp, arsers and speech technologies with special emphasis on tagged concordancing. The paper finishes with a number of reflections and ideas on how language technologies can be used efficiently within the language learning context and how extensive exploration and integration of these technologies might change and extend both modern CAI,I, and the present language learning paradigiii..

Neuro-pharmacological potentials of Buchholzia coriacea (Engl.) seeds in laboratory rodents.

Science.gov (United States)

Onasanwo, S A; Obembe, O O; Faborode, S O; Elufioye, T O; Adisa, R A

2013-06-01

Buchholzia coriacea, taken by elderly, has phytochemicals that have neuro-active metabolites, and the folklore documented its use in neuro-behavioural despairs. This study was conducted to investigate the neuro-pharmacological potentials of Buchholzia coriacea (MEBC) seed extract in the laboratory rodents. Methanol extract of the seeds on B. coriacea (MEBC) was evaluated for its antidepressant (Forced Swimming Test and Tail Suspension Test), anxiolytic (Light-Dark Test, Hole Board Test and Elevated Plus Maze), antinociceptive (Hot-Plate and Tail Flick test) and motor coordination (Rota Rod) functions in mice. Our findings showed antidepressant activity (P neuro-physiological disorders like depression, anxiety and pain.

The Study of Critical Eco-Linguistic in Green Discourse: Prospective Eco-Linguistic Analysis

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Tommi Yuniawan

2017-10-01

Full Text Available Eco-linguistic studies are influenced by one of the other interdisciplinary sciences, namely critical discourse analysis. The combination of these two sciences is called critical eco-linguistic studies. Critical eco-linguistic examines the discourse about the environment and various forms of discourse and their ideology which concerns people and the environment. The environmental discourse with all its manifestations (oral text, written text is called green discourse. To that end, critical eco-linguistic dictates the linguistic aspects contained in the green discourse. Utilization of lingual units in green discourse will affect the sense and logic of people involved in the discourse, ie the writers and readers or the speakers and the speakers. What is recorded in their cognition, will affect their attitudes and actions to the environment. If green discourse is constructive, then their attitude and actions to the environment are constructive. Conversely, if green discourse is more destructive and exploitative, then their attitudes and actions towards the environment will also be affected towards destruction and exploitation. For this reason, critical eco-linguistic studies in green discourse deserve to be given space as a form of prospective eco-linguistic analysis.

Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions.

Science.gov (United States)

Zaghian, Maryam; Cao, Wenhua; Liu, Wei; Kardar, Laleh; Randeniya, Sharmalee; Mohan, Radhe; Lim, Gino

2017-03-01

Robust optimization of intensity-modulated proton therapy (IMPT) takes uncertainties into account during spot weight optimization and leads to dose distributions that are resilient to uncertainties. Previous studies demonstrated benefits of linear programming (LP) for IMPT in terms of delivery efficiency by considerably reducing the number of spots required for the same quality of plans. However, a reduction in the number of spots may lead to loss of robustness. The purpose of this study was to evaluate and compare the performance in terms of plan quality and robustness of two robust optimization approaches using LP and nonlinear programming (NLP) models. The so-called "worst case dose" and "minmax" robust optimization approaches and conventional planning target volume (PTV)-based optimization approach were applied to designing IMPT plans for five patients: two with prostate cancer, one with skull-based cancer, and two with head and neck cancer. For each approach, both LP and NLP models were used. Thus, for each case, six sets of IMPT plans were generated and assessed: LP-PTV-based, NLP-PTV-based, LP-worst case dose, NLP-worst case dose, LP-minmax, and NLP-minmax. The four robust optimization methods behaved differently from patient to patient, and no method emerged as superior to the others in terms of nominal plan quality and robustness against uncertainties. The plans generated using LP-based robust optimization were more robust regarding patient setup and range uncertainties than were those generated using NLP-based robust optimization for the prostate cancer patients. However, the robustness of plans generated using NLP-based methods was superior for the skull-based and head and neck cancer patients. Overall, LP-based methods were suitable for the less challenging cancer cases in which all uncertainty scenarios were able to satisfy tight dose constraints, while NLP performed better in more difficult cases in which most uncertainty scenarios were hard to meet

Parent perceptions of the quality of life of pet dogs living with neuro-typically developing and neuro-atypically developing children: An exploratory study.

Directory of Open Access Journals (Sweden)

Sophie S Hall

Full Text Available There is growing scientific and societal recognition of the role that pet dogs can play in healthy development of children; both those who are neuro-typically developing and those who live with a neuro-developmental disorder, such as autism or attention deficit hyperactivity disorder. However, little attention has been paid to how living with children positively and negatively affects quality of life of a pet dog. In this exploratory study we conducted semi-structured interviews with parents of neuro-typically developing children (n = 18 and those with a neuro-developmental disorder (n = 18 who owned a pet dog, until no new factors were identified. Living with children brought potentially positive benefits to the dog's life including: imposition of a routine, participation in recreational activities and the development of a strong bond between the child and the dog. The importance of maintaining a routine was particularly prevalent in families with children with neuro-developmental disorders. Potential negative factors included having to cope with child meltdowns and tantrums, over stimulation from child visitors, harsh contact and rough and tumble play with the child. The regularity and intensity of meltdowns and tantrums was particularly evident in responses from parents with children with a neuro-developmental disorder. However, child visitors and rough play and contact were mentioned similarly across the groups. Protective factors included having a safe haven for the dog to escape to, parent's awareness of stress signs and child education in dog-interaction. Parents were also asked to complete a stress response scale to provide an initial quantitative comparison of stress responses between dogs living with the two family-types. Parents with neuro-typically developing children more frequently observed their dog rapidly running away from a situation and less frequently observed their dog widening their eyes, than parents with children with a

The Role of Linguistic Modification in Nursing Education.

Science.gov (United States)

Moore, Brenda S; Clark, Michele C

2016-06-01

English-as-a-second-language (ESL) nursing students fail to graduate from programs at alarming rates. For many of these students, academic failure results from poor performance on multiple choice examinations, which frequently contain linguistic errors. A remedy for these errors is to linguistically modify examination questions. This study assessed the effects of linguistic modification on examination scores. Scores of ESL and non-ESL nursing students were compared on an experimental multiple choice examination and a control examination. After exclusion, 67 ESL and 252 non-ESL students completed the experimental examination; 68 ESL and 257 non-ESL students completed the control examination. Both ESL and non-ESL students scored higher on the experimental examination than on the control examination. For ESL students, the increase in observed means between the experimental and control examination was 0.6%; for non-ESL students, the increase was 0.48%. [J Nurs Educ. 2016;55(6):309-315.]. Copyright 2016, SLACK Incorporated.

Neuro degenerative diseases: clinical concerns; Les maladies neuro-degeneratives: problemes cliniques

Energy Technology Data Exchange (ETDEWEB)

Ibanez, V. [Hopitaux Universitaires de Geneve (HUG), Unite de Neuroimagerie, Dept. de Psychiatrie (Switzerland)

2005-04-15

Idiopathic Parkinson's disease (PD) and Alzheimer's disease (AD) are the main neuro-degenerative diseases (NDDs) seen clinically. They share some common clinical symptoms and neuro-pathological findings. The increase of life expectancy in the developed countries will inevitably contribute to enhance the prevalence of these diseases. Behavioral disorders, common in NDDs, will produce major care management challenges. Idiopathic Parkinson's disease corresponds to a histopathological diagnosis, based on the observation of a de-pigmentation and a neuronal loss in the substantia nigra, as well as on the presence of intra-neuronal inclusion bodies. AD is insidious with slowly progressive dementia in which the decline in memory constitutes the main complaint. The diagnosis of definite AD requires the presence of clinical criteria as well as the histopathological confirmation of brain lesions. The two main lesions are the presence of senile plaques and neuro-fibrillary tangles. Positron emission tomography (PET) explores cerebral metabolism and neurotransmitter kinetics in NDDs using principally [{sup 18}F]-deoxyglucose and [{sup 18}F]-dopa. Nigrostriatal dopaminergic function is altered in PD, as evidenced by the low uptake of [{sup 18}F]-dopa in the posterior putamen as compared to anterior putamen and caudate nucleus. In contrast, [{sup 18}F]-dopa uptake is equally depressed in all striatal structures in progressive supra-nuclear palsy. Regional glucose metabolism at rest is preserved in elderly once cerebral atrophy is taken into account. On the contrary, glucose metabolism is globally reduced in AD, with marked decrease in the parietal and temporal regions. PET has proved to be useful to study in vivo neurochemical processes in patients suffering from NDDs. The potential of this approach is still largely unexploited, and depends on new ligand production to establish early diagnosis and treatment follow-up. (author)

Linguistic and Psycho-Linguistic Principles of Linguadidactics (theoretical interpretation

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Liudmila Mauzienė

2011-04-01

Full Text Available This article considers linguadidactics being closely related to linguistics, psychology, psycholinguistics and didactics and applies their theoretical statements and regularities in its scientific studies. Methodology refers to linguistics which investigates the language as a teaching subject. Methodology is linked to psychology in two ways. First of all, it is based on psychology as the teaching process is an intellectual psychical act and its regularities are necessary to know. On the other hand, methodology applies rules of pedagogy that predicts ways of learning and development of language skills. The article emphasizes that sustainable work experience and analysis of scientific research show that teaching process is more effective if consistent patterns of linguistics and psychology are appropriately applied.

[NEURO-ONCOLOGY A NEW FIELD IN DAVIDOFF CANCER CENTER AT RABIN MEDICAL CENTER].

Science.gov (United States)

Yust-Katz, Shlomit; Limon, Dror; Abu-Shkara, Ramez; Siegal, Tali

2017-08-01

Neuro-oncology is a subspecialty attracting physicians from medical disciplines such as neurology, neurosurgery, pediatrics, oncology, and radiotherapy. It deals with diagnosis and management of primary brain tumors, as well as metastatic and non-metastatic neurological manifestations that frequently affect cancer patients including brain metastases, paraneoplastic syndromes and neurological complications of cancer treatment. A neuro-oncology unit was established in Davidoff Cancer Center at Rabin Medical Center. It provides a multidisciplinary team approach for management of brain tumors and services, such as expert outpatient clinics and inpatient consultations for the departments of oncology, hematology, bone marrow transplantation and other departments in the Rabin Medical Center. In addition, expert consultation is frequently provided to other hospitals that treat cancer patients with neurological manifestations. The medical disciplines that closely collaborate for the daily management of neuro-oncology patients include radiotherapy, hematology, oncology, neuro-surgery, neuro-radiology and neuro-pathology. The neuro-oncology center is also involved in clinical and laboratory research conducted in collaboration with researchers in Israel and abroad. The new service contributes substantially to the improved care of cancer patients and to the advance of research topics in the field of neuro-oncology.

Mathematical programs with complementarity constraints in traffic and telecommunications networks.

Science.gov (United States)

Ralph, Daniel

2008-06-13

Given a suitably parametrized family of equilibrium models and a higher level criterion by which to measure an equilibrium state, mathematical programs with equilibrium constraints (MPECs) provide a framework for improving or optimizing the equilibrium state. An example is toll design in traffic networks, which attempts to reduce total travel time by choosing which arcs to toll and what toll levels to impose. Here, a Wardrop equilibrium describes the traffic response to each toll design. Communication networks also have a deep literature on equilibrium flows that suggest some MPECs. We focus on mathematical programs with complementarity constraints (MPCCs), a subclass of MPECs for which the lower level equilibrium system can be formulated as a complementarity problem and therefore, importantly, as a nonlinear program (NLP). Although MPECs and MPCCs are typically non-convex, which is a consequence of the upper level objective clashing with the users' objectives in the lower level equilibrium program, the last decade of research has paved the way for finding local solutions of MPCCs via standard NLP techniques.

Neuroæstetik eller kunst på hjernen

DEFF Research Database (Denmark)

Clasen, Mathias

2009-01-01

Neuroæstetikken kombinerer hjerneforskning, æstetikforskning og eksperimentel psykologi -- alt sammen for at forstå en af Homo sapiens' mest bizarre hobbyer: kunst. Forskning i kunstens neurobiologi griber om sig.......Neuroæstetikken kombinerer hjerneforskning, æstetikforskning og eksperimentel psykologi -- alt sammen for at forstå en af Homo sapiens' mest bizarre hobbyer: kunst. Forskning i kunstens neurobiologi griber om sig....

Roles of neuro-exocytotic proteins at the neuromuscular junction

NARCIS (Netherlands)

Sons-Michel, Michèle S.

2011-01-01

The aim of the studies described in the thesis was to elucidate the roles of several neuro-exocytotic proteins at the motor nerve terminal in neuromuscular synaptic transmission, making use of genetic knockout (KO) mice, each missing one (or more) neuro-exocytotic proteins. In addition, it was

Overview of a Linguistic Theory of Design. AI Memo 383A.

Science.gov (United States)

Miller, Mark L.; Goldstein, Ira P.

The SPADE theory, which uses linguistic formalisms to model the planning and debugging processes of computer programming, was simultaneously developed and tested in three separate contexts--computer uses in education, automatic programming (a traditional artificial intelligence arena), and protocol analysis (the domain of information processing…

Theories and control models and motor learning: clinical applications in neuro-rehabilitation.

Science.gov (United States)

Cano-de-la-Cuerda, R; Molero-Sánchez, A; Carratalá-Tejada, M; Alguacil-Diego, I M; Molina-Rueda, F; Miangolarra-Page, J C; Torricelli, D

2015-01-01

In recent decades there has been a special interest in theories that could explain the regulation of motor control, and their applications. These theories are often based on models of brain function, philosophically reflecting different criteria on how movement is controlled by the brain, each being emphasised in different neural components of the movement. The concept of motor learning, regarded as the set of internal processes associated with practice and experience that produce relatively permanent changes in the ability to produce motor activities through a specific skill, is also relevant in the context of neuroscience. Thus, both motor control and learning are seen as key fields of study for health professionals in the field of neuro-rehabilitation. The major theories of motor control are described, which include, motor programming theory, systems theory, the theory of dynamic action, and the theory of parallel distributed processing, as well as the factors that influence motor learning and its applications in neuro-rehabilitation. At present there is no consensus on which theory or model defines the regulations to explain motor control. Theories of motor learning should be the basis for motor rehabilitation. The new research should apply the knowledge generated in the fields of control and motor learning in neuro-rehabilitation. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Constructing an XML database of linguistics data

Directory of Open Access Journals (Sweden)

J H Kroeze

2010-04-01

Full Text Available A language-oriented, multi-dimensional database of the linguistic characteristics of the Hebrew text of the Old Testament can enable researchers to do ad hoc queries. XML is a suitable technology to transform free text into a database. A clause’s word order can be kept intact while other features such as syntactic and semantic functions can be marked as elements or attributes. The elements or attributes from the XML “database” can be accessed and proces sed by a 4th generation programming language, such as Visual Basic. XML is explored as an option to build an exploitable database of linguistic data by representing inherently multi-dimensional data, including syntactic and semantic analyses of free text.

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases; Developpement de radiotraceurs de la neuroinflammation pour l'imagerie des pathologies neurodegeneratives

Energy Technology Data Exchange (ETDEWEB)

Chauveau, F

2007-10-15

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

Neuro-rejuvenation for neuronal function

Institute of Scientific and Technical Information of China (English)

Yuan Liu; Richard K. Lee

2016-01-01

Neurodegenerative eye diseases, such as glaucoma, cause irreversible vision loss in millions of patients worldwide, creating serious medical, economic and social issues. Like other mammalian central nervous system tracts, optic nerve intrinsically lacks the capacity for axonal growth and its surrounding environment is also non-permissive to regeneration. Any axonal damage also triggers a vicious cycle of retinal ganglion cell (RGC) death. Exploring methods that can enhance RGCs survival and promote axonal regeneration will not only enable vision restoration for millions of patients, but also shed light on the treatment of other neurodegenerative diseases. In this review article, we will go through three current approaches to cure neu-rodegenerative eye diseases, including cell based therapy, neuro-regeneration and neuro-rejuvenation.

Clinical Nihilism in Neuro-Emergencies

Science.gov (United States)

Hemphill, J. Claude; White, Douglas B.

2009-01-01

Mortality and morbidity remain high from neurological emergencies such as acute stroke, traumatic brain injury, and hypoxic-ischemic encephalopathy after cardiac arrest. Decisions regarding initial aggressiveness of care must be made at the time of presentation and perceived prognosis is often used as part of this decision-making process. However, these decisions are predicated on the accuracy of early outcome prediction. Decisions to limit treatment early after neuro-emergencies must be balanced with avoidance of self-fulfilling prophecies of poor outcome due to clinical nihilism. This article examines the role of prognostication early after neuro-emergencies, the potential impact of early treatment limitations, and how these may relate to communication with patients and surrogate decision makers in the context of these acute neurological events. PMID:19218017

Authenticity anyone? : the enhancement of emotions via neuro-psychopharmacology

NARCIS (Netherlands)

Kraemer, U.A.F.

2011-01-01

This article will examine how the notion of emotional authenticity is intertwined with the notions of naturalness and artificiality in the context of the recent debates about ‘neuro-enhancement’ and ‘neuro-psychopharmacology.’ In the philosophy of mind, the concept of authenticity plays a key role

Exploring subdomain variation in biomedical language

Directory of Open Access Journals (Sweden)

Séaghdha Diarmuid Ó

2011-05-01

Full Text Available Abstract Background Applications of Natural Language Processing (NLP technology to biomedical texts have generated significant interest in recent years. In this paper we identify and investigate the phenomenon of linguistic subdomain variation within the biomedical domain, i.e., the extent to which different subject areas of biomedicine are characterised by different linguistic behaviour. While variation at a coarser domain level such as between newswire and biomedical text is well-studied and known to affect the portability of NLP systems, we are the first to conduct an extensive investigation into more fine-grained levels of variation. Results Using the large OpenPMC text corpus, which spans the many subdomains of biomedicine, we investigate variation across a number of lexical, syntactic, semantic and discourse-related dimensions. These dimensions are chosen for their relevance to the performance of NLP systems. We use clustering techniques to analyse commonalities and distinctions among the subdomains. Conclusions We find that while patterns of inter-subdomain variation differ somewhat from one feature set to another, robust clusters can be identified that correspond to intuitive distinctions such as that between clinical and laboratory subjects. In particular, subdomains relating to genetics and molecular biology, which are the most common sources of material for training and evaluating biomedical NLP tools, are not representative of all biomedical subdomains. We conclude that an awareness of subdomain variation is important when considering the practical use of language processing applications by biomedical researchers.

NeuroD modulates opioid agonist-selective regulation of adult neurogenesis and contextual memory extinction.

Science.gov (United States)

Zheng, Hui; Zhang, Yue; Li, Wen; Loh, Horace H; Law, Ping-Yee

2013-04-01

Addictive drugs, including opioids, modulate adult neurogenesis. In order to delineate the probable implications of neurogenesis on contextual memory associated with addiction, we investigated opioid agonist-selective regulation of neurogenic differentiation 1 (NeuroD) activities under the conditioned place preference (CPP) paradigm. Training mice with equivalent doses of morphine and fentanyl produced different CPP extinction rates without measurable differences in the CPP acquisition rate or magnitude. Fentanyl-induced CPP required much longer time for extinction than morphine-induced CPP. We observed a parallel decrease in NeuroD activities and neurogenesis after morphine-induced CPP, but not after fentanyl-induced CPP. Increasing NeuroD activities with NeuroD-lentivirus (nd-vir) injection at the dentate gyrus before CPP training reversed morphine-induced decreases in NeuroD activities and neurogenesis, and prolonged the time required for extinction of morphine-induced CPP. On the other hand, decreasing NeuroD activities via injection of miRNA-190-virus (190-vir) reversed the fentanyl effect on NeuroD and neurogenesis and shortened the time required for extinction of fentanyl-induced CPP. Another contextual memory task, the Morris Water Maze (MWM), was affected similarly by alteration of NeuroD activities. The reduction in NeuroD activities either by morphine treatment or 190-vir injection decreased MWM task retention, while the increase in NeuroD activities by nd-vir prolonged MWM task retention. Thus, by controlling NeuroD activities, opioid agonists differentially regulate adult neurogenesis and subsequent contextual memory retention. Such drug-related memory regulation could have implications in eventual context-associated relapse.

Neurocritical care education during neurology residency: AAN survey of US program directors.

Science.gov (United States)

Sheth, K N; Drogan, O; Manno, E; Geocadin, R G; Ziai, W

2012-05-29

Limited information is available regarding the current state of neurocritical care education for neurology residents. The goal of our survey was to assess the need and current state of neurocritical care training for neurology residents. A survey instrument was developed and, with the support of the American Academy of Neurology, distributed to residency program directors of 132 accredited neurology programs in the United States in 2011. A response rate of 74% (98 of 132) was achieved. A dedicated neuroscience intensive care unit (neuro-ICU) existed in 64%. Fifty-six percent of residency programs offer a dedicated rotation in the neuro-ICU, lasting 4 weeks on average. Where available, the neuro-ICU rotation was required in the vast majority (91%) of programs. Neurology residents' exposure to the fundamental principles of neurocritical care was obtained through a variety of mechanisms. Of program directors, 37% indicated that residents would be interested in performing away rotations in a neuro-ICU. From 2005 to 2010, the number of programs sending at least one resident into a neuro-ICU fellowship increased from 14% to 35%. Despite the expansion of neurocritical care, large proportions of US neurology residents have limited exposure to a neuro-ICU and neurointensivists. Formal training in the principles of neurocritical care may be highly variable. The results of this survey suggest a charge to address the variability of resident education and to develop standardized curricula in neurocritical care for neurology residents.

Nanoparticle-Based Strategies to Treat Neuro-Inflammation

Directory of Open Access Journals (Sweden)

Rémy Poupot

2018-02-01

Full Text Available Neuro-inflammation is a pivotal physio-pathological feature of brain disorders, including neurodegenerative diseases. As such, it is a relevant therapeutic target against which drugs have to be proposed. Targeting neuro-inflammation implies crossing the Blood-Brain Barrier (BBB to reach the Central Nervous System (CNS. Engineered nanoparticles (ENPs are promising candidates to carry and deliver drugs to the CNS by crossing the BBB. There are several strategies to design ENPs intended for crossing through the BBB. Herein, we first put nanotechnologies back in their historical context and introduce neuro-inflammation and its consequences in terms of public health. In a second part, we explain how ENPs can get access to the brain and review this area by highlighting recent papers in the field. Finally, after pointing out potential guidelines for preclinical studies involving ENPs, we conclude by opening the debate on the questions of nanosafety and toxicity of these ENPs and in particular on ecotoxicity related to regulatory issues and public concerns.

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection

International Nuclear Information System (INIS)

Muhammad Subekti

2009-01-01

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection. The present research was done for verification of previous developed method on Loss of Coolant Accident (LOCA) detection and perform simulations for knowing the sensitivity of the PWR monitoring system that applied neuro-expert method. The previous research continuing on present research, has developed and has tested the neuro-expert method for several anomaly detections in Nuclear Power Plant (NPP) typed Pressurized Water Reactor (PWR). Neuro-expert can detect the LOCA anomaly with sensitivity of primary coolant leakage of 7 gallon/min and the conventional method could not detect the primary coolant leakage of 30 gallon/min. Neuro expert method detects significantly LOCA anomaly faster than conventional system in Surry-1 NPP as well so that the impact risk is reducible. (author)

Forensic Linguistics: The Linguistic Analyst and Expert Witness of Language Evidence in Criminal Trials.

Science.gov (United States)

Jordan, Sherilynn Nidever

Forensic linguistics (FL) provides consultation to lawyers through the analysis of language evidence during the pre-trial investigation. Evidence commonly analyzed by linguists in criminal cases includes transcripts of police interviews and language crimes (such as bribery) and anonymous or questioned texts. Forensic linguistic testimony is rarely…

Sample Undergraduate Linguistics Courses. Linguistics in the Undergraduate Curriculum, Appendix 5.

Science.gov (United States)

Linguistic Society of America, Washington, DC.

Thirty-six nontraditional undergraduate courses in linguistics are described. Course topics include: animal communication, bilingualism, sociolinguistics, introductory linguistics, language and formal reasoning, language and human conflict, language and power, language and sex, language and the brain, language planning, language typology and…

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases; Developpement de radiotraceurs de la neuroinflammation pour l'imagerie des pathologies neurodegeneratives

Energy Technology Data Exchange (ETDEWEB)

Chauveau, F

2007-10-15

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

Linguistics and the digital humanities

DEFF Research Database (Denmark)

Jensen, Kim Ebensgaard

2014-01-01

Corpus linguistics has been closely intertwined with digital technology since the introduction of university computer mainframes in the 1960s. Making use of both digitized data in the form of the language corpus and computational methods of analysis involving concordancers and statistics software......, corpus linguistics arguably has a place in the digital humanities. Still, it remains obscure and figures only sporadically in the literature on the digital humanities. This article provides an overview of the main principles of corpus linguistics and the role of computer technology in relation to data...... and method and also offers a bird's-eye view of the history of corpus linguistics with a focus on its intimate relationship with digital technology and how digital technology has impacted the very core of corpus linguistics and shaped the identity of the corpus linguist. Ultimately, the article is oriented...

Palliative Care Needs Assessment in the Neuro-ICU: Effect on Family.

Science.gov (United States)

Creutzfeldt, Claire J; Hanna, Marina G; Cheever, C Sherry; Lele, Abhijit V; Spiekerman, Charles; Engelberg, Ruth A; Curtis, J Randall

2017-10-01

Examine the association of a daily palliative care needs checklist on outcomes for family members of patients discharged from the neurosciences intensive care unit (neuro-ICU). We conducted a prospective, longitudinal cohort study in a single, thirty-bed neuro-ICU in a regional comprehensive stroke and level 1 trauma center. One of two neuro-ICU services that admit patients to the same ICU on alternating days used a palliative care needs checklist during morning work rounds. Between March and October, 2015, surveys were mailed to family members of patients discharged from the neuro-ICU. Nearly half of surveys (n = 91, 48.1%) were returned at a median of 4.7 months. At the time of survey completion, mean Modified rankin scale score (mRS) of neuro-ICU patients was 3.1 (SD 2). Overall ratings of quality of care were relatively high (82.2 on a 0-100 scale) with 32% of family members meeting screening criteria for depressive syndrome. The primary outcome measuring family satisfaction, consisting of eight items from the Family Satisfaction in the ICU questionnaire, did not differ significantly between families of patients from either ICU service nor did family ratings of depression (PHQ-8) and post-traumatic stress (PCL-17). Among families of patients discharged from the neuro-ICU, the daily use of a palliative care needs checklist had no measurable effect on family satisfaction scores or long-term psychological outcomes. Further research is needed to identify optimal interventions to meet the palliative care needs specific to family members of patients treated in the neuro-ICU.

What's in a Name? Degree Programs and What They Tell Us about "Applied Linguistics" in Australia

Science.gov (United States)

Murray, Neil; Crichton, Jonathan

2010-01-01

In this paper we explore the provision of applied linguistics within Australian universities. We focus on how the "what" of applied linguistics, as captured in scholarly definitions of the discipline, accords with the "where", as captured in potential contexts of application as these are manifested in provision. In doing so, we…

Linguistic coding deficits in foreign language learners.

Science.gov (United States)

Sparks, R; Ganschow, L; Pohlman, J

1989-01-01

As increasing numbers of colleges and universities require a foreign language for graduation in at least one of their degree programs, reports of students with difficulties in learning a second language are multiplying. Until recently, little research has been conducted to identify the nature of this problem. Recent attempts by the authors have focused upon subtle but ongoing language difficulties in these individuals as the source of their struggle to learn a foreign language. The present paper attempts to expand upon this concept by outlining a theoretical framework based upon a linguistic coding model that hypothesizes deficits in the processing of phonological, syntactic, and/or semantic information. Traditional psychoeducational assessment batteries of standardized intelligence and achievement tests generally are not sensitive to these linguistic coding deficits unless closely analyzed or, more often, used in conjunction with a more comprehensive language assessment battery. Students who have been waived from a foreign language requirement and their proposed type(s) of linguistic coding deficits are profiled. Tentative conclusions about the nature of these foreign language learning deficits are presented along with specific suggestions for tests to be used in psychoeducational evaluations.

Statistically qualified neuro-analytic failure detection method and system

Science.gov (United States)

Vilim, Richard B.; Garcia, Humberto E.; Chen, Frederick W.

2002-03-02

An apparatus and method for monitoring a process involve development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two stages: deterministic model adaption and stochastic model modification of the deterministic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics, augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation error minimization technique. Stochastic model modification involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system. Illustrative of the method and apparatus, the method is applied to a peristaltic pump system.

Neuro-Behçet’s disease in childhood: A focus on the neuro-ophthalmological features

Directory of Open Access Journals (Sweden)

Mora Paolo

2013-01-01

Full Text Available Abstract Neuro-Behçet’s disease (NBD involves the central nervous system; peripheral nervous system involvement is not often reported. NBD is quite common in adult patients and occurs rarely during childhood and adolescence. Young patients may share symptoms and signs of NBD with other neuro-ophthalmological disorders (e.g. idiopathic intracranial hypertension; thus, making the differential diagnosis difficult. Neuroimaging is mandatory and necessary for a correct NBD diagnosis but in children radiological examinations are often difficult to perform without sedation. From 1971 to 2011, 130 patients aged ≤16 years have been reported with NBD, according to retrospective surveys, case series, and case reports. The origin of the reported cases met the well-known geographical distribution of Behçet’s disease (BD; the mean age at presentation of neurological findings was 11.8 years, with male gender prevalence (ratio, 2.9:1. We considered in detail the neuro-ophthalmological features of the 53 cases whose neuroimaging alterations were described with an assigned radiological pattern of the disease (parenchymal: 14 cases, non-parechymal: 35 cases, and mixed: 4 cases. In 19/53 patients (36%, neuro-ophthalmological symptoms anticipated any pathognomonic sign for a BD diagnosis, or only occasional aphtae were recalled by the patients. Family history was positive in 17% of subjects. Headache was reported in 75% of the patients; in those presenting with cerebral vascular involvement, headache was combined to other symptoms of intracranial hypertension. Papilledema was the most frequently reported ophthalmological finding, followed by posterior uveitis. Treatment consisted of systemic steroids in 93% of patients, often combined with other immunosuppressive drugs (especially colchicine and azathioprine. Clinical recovery or improvement was documented in the large majority of patients. Nine subjects had definitive alterations, and one died. Based on our

Neuro-models for discharge air temperature system

International Nuclear Information System (INIS)

Zaheer-uddin, M.; Tudoroiu, N.

2004-01-01

Nonlinear neuro-models for a discharge air temperature (DAT) system are developed. Experimental data gathered in a heating ventilating and air conditioning (HVAC) test facility is used to develop multi-input multi-output (MIMO) and single-input single-output (SISO) neuro-models. Several different network architectures were explored to build the models. Results show that a three layer second order neural network structure is necessary to achieve good accuracy of the predictions. Results from the developed models are compared, and some observations on sensitivity and standard deviation errors are presented

Imaging and translational research: neuro degenerative diseases

International Nuclear Information System (INIS)

Hantraye, P.

2009-01-01

Advances in neuroimaging of neuro-degenerative diseases over the past two decades are the product of breakthroughs in imaging technology, more powerful computers, image-processing software, and expanding knowledge in basic and clinical neuro-science. In addition to the insights into normal brain structure and function that such methods provide, and the information that can be gained from disease-related changes in structure and function, functional imaging offers the promise of monitoring brain lesions and quantifying the therapeutic efficacy of innovative treatments for these largely incurable disorders. (author)

Neuro-fuzzy modelling of hydro unit efficiency

International Nuclear Information System (INIS)

Iliev, Atanas; Fushtikj, Vangel

2003-01-01

This paper presents neuro-fuzzy method for modeling of the hydro unit efficiency. The proposed method uses the characteristics of the fuzzy systems as universal function approximates, as well the abilities of the neural networks to adopt the parameters of the membership's functions and rules in the consequent part of the developed fuzzy system. Developed method is practically applied for modeling of the efficiency of unit which will be installed in the hydro power plant Kozjak. Comparison of the performance of the derived neuro-fuzzy method with several classical polynomials models is also performed. (Author)

The Routledge Applied Linguistics Reader

Science.gov (United States)

Wei, Li, Ed.

2011-01-01

"The Routledge Applied Linguistics Reader" is an essential collection of readings for students of Applied Linguistics. Divided into five sections: Language Teaching and Learning, Second Language Acquisition, Applied Linguistics, Identity and Power and Language Use in Professional Contexts, the "Reader" takes a broad…

Empirical Methods in Natural Language Generation

NARCIS (Netherlands)

Krahmer, Emiel; Theune, Mariet

Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the field

Neuro-otological and peripheral nerve involvement in Fabry disease

Directory of Open Access Journals (Sweden)

Sergio Carmona

2017-07-01

Full Text Available Fabry disease (FD is an X-linked lysosomal storage disease, with multisystemic glycosphingolipids deposits. Neuro-otological involvement leading to hearing loss and vestibular dysfunctions has been described, but there is limited information about the frequency, site of lesion, or the relationship with peripheral neuropathy. The aim was to evaluate the presence of auditory and vestibular symptoms, and assess neurophysiological involvement of the VIII cranial nerve, correlating these findings with clinical and neurophysiological features of peripheral neuropathy. We studied 36 patients with FD with a complete neurological and neuro-otological evaluation including nerve conduction studies, quantitative sensory testing (to evaluate small fiber by warm and cold threshold detection and cold and heat pain, vestibular evoked myogenic potentials, videonistagmography, audiometry and brainstem auditory evoked potentials. Neuro-otologic symptoms included hearing loss (22.2%, vertigo (27.8% or both (25%. An involvement of either cochlear or vestibular function was identified in most patients (75%. In 70% of our patients the involvement of both cochlear and vestibular function could not be explained by a neural or vascular mechanism. Small fiber neuropathy was identified in 77.7%. There were no significant associations between neurootological and QST abnormalities. Neuro-otologic involvement is frequent and most likely under-recognized in patients with FD. It lacks a specific neural or vascular pattern, suggesting multi-systemic, end organ damage. Small fiber neuropathy is an earlier manifestation of FD, but there is no correlation between the development of neuropathy and neuro-otological abnormalities.

Measuring Linguistic Empathy: An Experimental Approach to Connecting Linguistic and Social Psychological Notions of Empathy

Science.gov (United States)

Kann, Trevor

2017-01-01

This dissertation investigated the relationship between Linguistic Empathy and Psychological Empathy by implementing a psycholinguistic experiment that measured a person's acceptability ratings of sentences with violations of Linguistic Empathy and correlating them with a measure of the person's Psychological Empathy. Linguistic Empathy…

LANGUE AND PAROLE IN AMERICAN LINGUISTICS.

Science.gov (United States)

LEVIN, SAMUEL R.

THE PROBLEM OF THE NATURE OF LANGUAGE STRUCTURE IS CONSIDERED AND THE FORM WHICH ANY LINGUISTIC DESCRIPTION SHOULD TAKE. THE AUTHOR EXAMINES THE INFLUENCE OF THE SWISS LINGUIST, FERDINAND DE SAUSSURE, ON THE DEVELOPMENT OF AMERICAN LINGUISTICS. THE QUESTION OF "MENTALISM" IN LINGUISTICS IS REDUCED TO THE PROBLEM OF WHETHER LINGUISTIC…

Linguistic Communications 1.

Science.gov (United States)

Monash Univ., Clayton, Victoria (Australia).

The present compilation of papers on linguistics is the result of joint efforts by the Classical Studies, French, Japanese, Linguistics, and Russian Departments of Monash University. Selections in the Pre-Prints and Articles section include: "For/Arabic Bilingualism in the Zalingei Area," by B. Jernudd; "Prosodic Problems in a Generative Phonology…

Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

Science.gov (United States)

Kisi, Ozgur; Sanikhani, Hadi; Cobaner, Murat

2017-08-01

The applicability of artificial neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS), and genetic programming (GP) techniques in estimating soil temperatures (ST) at different depths is investigated in this study. Weather data from two stations, Mersin and Adana, Turkey, were used as inputs to the applied models in order to model monthly STs. The first part of the study focused on comparison of ANN, ANFIS, and GP models in modeling ST of two stations at the depths of 10, 50, and 100 cm. GP was found to perform better than the ANN and ANFIS-SC in estimating monthly ST. The effect of periodicity (month of the year) on models' accuracy was also investigated. Including periodicity component in models' inputs considerably increased their accuracies. The root mean square error (RMSE) of ANN models was respectively decreased by 34 and 27 % for the depths of 10 and 100 cm adding the periodicity input. In the second part of the study, the accuracies of the ANN, ANFIS, and GP models were compared in estimating ST of Mersin Station using the climatic data of Adana Station. The ANN models generally performed better than the ANFIS-SC and GP in modeling ST of Mersin Station without local climatic inputs.

Working Memory for Linguistic and Non-linguistic Manual Gestures: Evidence, Theory, and Application.

Science.gov (United States)

Rudner, Mary

2018-01-01

Linguistic manual gestures are the basis of sign languages used by deaf individuals. Working memory and language processing are intimately connected and thus when language is gesture-based, it is important to understand related working memory mechanisms. This article reviews work on working memory for linguistic and non-linguistic manual gestures and discusses theoretical and applied implications. Empirical evidence shows that there are effects of load and stimulus degradation on working memory for manual gestures. These effects are similar to those found for working memory for speech-based language. Further, there are effects of pre-existing linguistic representation that are partially similar across language modalities. But above all, deaf signers score higher than hearing non-signers on an n-back task with sign-based stimuli, irrespective of their semantic and phonological content, but not with non-linguistic manual actions. This pattern may be partially explained by recent findings relating to cross-modal plasticity in deaf individuals. It suggests that in linguistic gesture-based working memory, semantic aspects may outweigh phonological aspects when processing takes place under challenging conditions. The close association between working memory and language development should be taken into account in understanding and alleviating the challenges faced by deaf children growing up with cochlear implants as well as other clinical populations.

Neuro-ophthalmic and clinical characteristics of brain tumours in a ...

African Journals Online (AJOL)

Background: Anecdotally, increasing number of patients are seen at Korle Bu Teaching Hospital (KBTH) with brain tumour. Neuro-ophthalmic symptoms and signs may help in timely diagnosis and intervention. Objective: To evaluate the neuro-ophthalmic and clinical characteristics of brain tumour in patients presenting at a ...

LINGUISTICS AND SECOND LANGUAGE TEACHING: AN ...

African Journals Online (AJOL)

The relationship between linguistics and second language teaching has always been a controversial one. Many linguists have argued that linguistics has nothing to say to the teacher. Sampson (1980, p.10), for example, says: ·"1 do not believe that linguistics has any contribution to make to the teaching of English or the.

On the concept of a linguistic variable

International Nuclear Information System (INIS)

Kerre, E.

1996-01-01

The concept of a linguistic variable plays a crucial role in the representation of imprecise knowledge in information sciences. A variable is called linguistic as soon as its values are linguistic terms rather than numerical ones. The power of daily communication and common sense reasoning lies in the use of such linguistic values. Even when exact numerical values are available, experts tend to transform these values into linguistic ones. A physician will usually translate a numerical measurement of a blood pressure into linguistic specifications such as normal, very high, too low... Zadeh has argued that the set of values for a linguistic variable assumes a more-or-less fixed structure. Starting from an atomic value and its antonym all remaining values are constructed using logical connectives on the one hand and linguistic hedges on the other hand. In this paper we will describe how to represent the value set of a linguistic variable in general and of linguistic hedges in particular

Cascade control of superheated steam temperature with neuro-PID controller.

Science.gov (United States)

Zhang, Jianhua; Zhang, Fenfang; Ren, Mifeng; Hou, Guolian; Fang, Fang

2012-11-01

In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method. Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.

Clinical Linguistics--Retrospect and Prospect.

Science.gov (United States)

Grunwell, Pamela

In the past 20 years, linguistics has gained a prominent position in speech and language pathology in Britain, evolving into a new field, clinical linguistics. It includes three related areas of activity: training of speech pathologists/therapists; professional practice; and research. Linguistics and speech/language pathology have developed as…

Etymology and Modern Linguistics

Science.gov (United States)

Malkiel, Yakov

1975-01-01

Discusses the estrangement between etymology and modern linguistics, and concludes that a reconciliation between spatio-temporal linguistics and etymology must occur, because without it, both disciplines are doomed to inanition. (Author/AM)

Neuro-Ophthalmology at a Tertiary Eye Care Centre in India.

Science.gov (United States)

Dhiman, Rebika; Singh, Digvijay; Gantayala, Shiva P; Ganesan, Vaitheeswaran L; Sharma, Pradeep; Saxena, Rohit

2017-11-09

Neuro-ophthalmology as a specialty is underdeveloped in India. The aim of our study was to determine the spectrum and profile of patients presenting to a tertiary eye care center with neuro-ophthalmic disorders. A retrospective hospital-based study was conducted, and records of all patients seen at the neuro-ophthalmology clinic of Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India, over a 1-year period were retrieved and evaluated. Of a total of 30,111 patients referred to various specialty clinics in a span of 1 year, 1597 (5%) were referred for neuro-ophthalmology evaluation. The mean patient age was 30.8 ± 19.5 years, with a male dominance (M:F = 2.02:1). Among these patients, optic nerve disorders were noted in 63.8% (n = 1,020), cranial nerve palsy in 7% (n = 114), cortical visual impairment in 6.5% (n = 105), and others (eye/optic nerve hypophasia, blepharospasm, and optic disc drusen) in 6% (n = 95). Among the patients with optic nerve disorders, optic neuropathy without disc edema/(traumatic optic neuropathy, hereditary, tumor-related, retrobulbar neuritis, toxic, and idiopathic) was noted in 42.8% (n = 685) and optic neuropathy with disc edema (ischemic optic neuropathy, papilledema, post-papilledema optic atrophy, papillitis, neuroretinitis, and inflammatory optic neuropathy) in 20.9% (n = 335). Sixteen percent of patients (n = 263) were incorrect referrals. The neuro-ophthalmic clinic constitutes a significant referral unit in a tertiary eye care center in India. Traumatic and ischemic optic neuropathies are the most common diagnoses. Neuro-ophthalmology requires further development as a subspecialty in India to better serve the nation's population.

PLENATITUDE Teacher Education for Effectiveness and Well-Being with Neuro-Linguistic Programming

Science.gov (United States)

Vieira, Cristina Rocha; Gaspar, Maria Filomena

2013-01-01

The role and functioning of schools are changing as well as what is expected of teachers (who face growing and diversified challenges); consequentially, well-being at the schools is endangered. As teachers and teachers' educators concern is: How to improve schools' and teachers' effectiveness and promote well-being. Believing that the path to…

Linguistic Corpora and Language Teaching.

Science.gov (United States)

Murison-Bowie, Simon

1996-01-01

Examines issues raised by corpus linguistics concerning the description of language. The article argues that it is necessary to start from correct descriptions of linguistic units and the contexts in which they occur. Corpus linguistics has joined with language teaching by sharing a recognition of the importance of a larger, schematic view of…

Linguistic dating of biblical texts

DEFF Research Database (Denmark)

Young, Ian; Rezetko, Robert; Ehrensvärd, Martin Gustaf

Since the beginning of critical scholarship biblical texts have been dated using linguistic evidence. In recent years this has become a controversial topic, especially with the publication of Ian Young (ed.), Biblical Hebrew: Studies in Chronology and Typology (2003). However, until now there has...... been no introduction and comprehensive study of the field. Volume 1 introduces the field of linguistic dating of biblical texts, particularly to intermediate and advanced students of biblical Hebrew who have a reasonable background in the language, having completed at least an introductory course...... in this volume are: What is it that makes Archaic Biblical Hebrew archaic , Early Biblical Hebrew early , and Late Biblical Hebrew late ? Does linguistic typology, i.e. different linguistic characteristics, convert easily and neatly into linguistic chronology, i.e. different historical origins? A large amount...

Gut microbiota drive the development of neuro-inflammatory response in cirrhosis

Science.gov (United States)

Kang, Dae Joong; Betrapally, Naga S; Ghosh, Siddhartha A; Sartor, R Balfour; Hylemon, Phillip B; Gillevet, Patrick M; Sanyal, Arun J; Heuman, Douglas M; Carl, Daniel; Zhou, Huiping; Liu, Runping; Wang, Xiang; Yang, Jing; Jiao, Chunhua; Herzog, Jeremy; Lippmann, H Robert; Sikaroodi, Masoumeh; Brown, Robert R; Bajaj, Jasmohan S

2016-01-01

The mechanisms behind the development of hepatic encephalopathy (HE) are unclear although hyperammonemia and systemic inflammation through gut dysbiosis have been proposed. Aim Define the individual contribution of hyperammonemia and systemic inflammation on neuro-inflammation in cirrhosis using germ-free (GF) and conventional mice. Methods GF and conventional C57BL/6 mice were made cirrhotic using CCl4 gavage. These were compared to their non-cirrhotic counterparts. Intestinal microbiota, systemic and neuro-inflammation (including microglial and glial activation), serum ammonia, intestinal glutaminase activity and cecal glutamine content were compared between groups. Results GF-cirrhotic mice developed similar cirrhotic changes to the conventional mice after four extra weeks (16 vs. 12 weeks) of CCL4 gavage. GF-cirrhotic mice exhibited higher ammonia compared to the GF controls but this was not associated with systemic or neuro-inflammation. Ammonia was generated through increased small intestinal glutaminase activity with concomitantly reduced intestinal glutamine levels. However, conventional cirrhotic mice had intestinal dysbiosis as well as systemic inflammation, associated with increased serum ammonia compared to conventional controls. This was associated with neuro-inflammation and glial/microglial activation. Correlation network analysis in conventional mice showed significant linkages between systemic/neuro-inflammation, intestinal microbiota and ammonia. Specifically beneficial, autochthonous taxa were negatively linked with brain and systemic inflammation, ammonia and with Staphylococcaceae, Lactobacillaceae and Streptococcaceae. Enterobacteriaceae were positively linked with serum inflammatory cytokines Conclusions Gut microbiota changes drive the development of neuro- and systemic inflammatory responses in cirrhotic animals. PMID:27339732

Neuro-QoL health-related quality of life measurement system: Validation in Parkinson's disease.

Science.gov (United States)

Nowinski, Cindy J; Siderowf, Andrew; Simuni, Tanya; Wortman, Catherine; Moy, Claudia; Cella, David

2016-05-01

Neuro-QoL is a multidimensional patient-reported outcome measurement system assessing aspects of physical, mental, and social health identified by neurology patients and caregivers as important. One of the first neurology-specific patient-reported outcome measure systems created using modern test development methods, Neuro-Qol enables brief, yet precise, assessment and the ability to conduct both PD-specific and cross-disease comparisons. We present results of Neuro-QoL clinical validation using a sample of PD patients. A total of 120 PD patients recruited from academic medical centers were assessed at baseline, 1 week, and 6 months. Assessments included Neuro-QoL and general and PD-specific validity measures. Participants were 62% male and 95% white (average age = 66); H & Y stages were 1 (16%), 2 (61%), 3 (18%), and 4 (5%). Internal consistency and test-retest reliability of Neuro-QoL ranged from Cronbach's alphas = 0.81 to 0.94 with intraclass correlation coefficients = 0.66 to 0.80. Pearson's correlations between Neuro-QoL and legacy measures were generally moderate and in expected directions. UPDRS Part 2 was moderately correlated with Neuro-QoL Upper Extremity and Mobility, respectively (r's = -0.44; -0.59). Parkinson's Disease Questionnaire-39 and Neuro-QoL measures of similar constructs showed strong-to-moderate correlations (r's = 0.70-0.44). Neuro-QoL measures of fatigue, mobility, positive emotion, and emotional/behavioral control showed responsiveness to self-reported change. Neuro-QoL is valid for use in PD clinical research. Reliability for all but two measures is sufficient for group comparisons, with some evidence supporting responsiveness to change. Neuro-QoL possesses characteristics, such as brevity, flexibility in administration, and suitability, for cross-disease comparisons that may be advantageous to users in a variety of settings. © 2016 Movement Disorder Society. © 2016 International Parkinson and Movement Disorder

Role of NeuroD1 on the negative regulation of Pomc expression by glucocorticoid.

Directory of Open Access Journals (Sweden)

Rehana Parvin

Full Text Available The mechanism of the negative regulation of proopiomelanocortin gene (Pomc by glucocorticoids (Gcs is still unclear in many points. Here, we demonstrated the involvement of neurogenic differentiation factor 1 (NeuroD1 in the Gc-mediated negative regulation of Pomc. Murine pituitary adrenocorticotropic hormone (ACTH producing corticotroph tumor-derived AtT20 cells were treated with dexamethasone (DEX (1-100 nM and cultured for 24 hrs. Thereafter, Pomc mRNA expression was studied by quantitative real-time PCR and rat Pomc promoter (-703/+58 activity was examined by luciferase assay. Both Pomc mRNA expression and Pomc promoter activity were inhibited by DEX in a dose-dependent manner. Deletion and point mutant analyses of Pomc promoter suggested that the DEX-mediated transcriptional repression was mediated via E-box that exists at -376/-371 in the promoter. Since NeuroD1 is known to bind to and activate E-box of the Pomc promoter, we next examined the effect of DEX on NeuroD1 expression. Interestingly, DEX dose-dependently inhibited NeuroD1 mRNA expression, mouse NeuroD1 promoter (-2.2-kb activity, and NeuroD1 protein expression in AtT20 cells. In addition, we confirmed the inhibitory effect of DEX on the interaction of NeuroD1 and E-box on Pomc promoter by chromatin immunoprecipitation (ChIP assay. Finally, overexpression of mouse NeuroD1 could rescue the DEX-mediated inhibition of Pomc mRNA expression and Pomc promoter activity. Taken together, it is suggested that the suppression of NeuroD1 expression and the inhibition of NeuroD1/E-box interaction may play an important role in the Gc-mediated negative regulation of Pomc.

A Portable Ultrasound System for Non-Invasive Ultrasonic Neuro-Stimulation.

Science.gov (United States)

Qiu, Weibao; Zhou, Juan; Chen, Yan; Su, Min; Li, Guofeng; Zhao, Huixia; Gu, Xianyi; Meng, De; Wang, Congzhi; Xiao, Yang; Lam, Kwok Ho; Dai, Jiyan; Zheng, Hairong

2017-12-01

Fundamental insights into the function of the neural circuits often follows from the advances in methodologies and tools for neuroscience. Electrode- and optical- based stimulation methods have been used widely for neuro-modulation with high resolution. However, they are suffering from inherent invasive surgical procedure. Ultrasound has been proved as a promising technology for neuro-stimulation in a non-invasive manner. However, no portable ultrasound system has been developed particularly for neuro-stimulation. The utilities used currently are assembled by traditional functional generator, power amplifier, and general transducer, therefore, resulting in lack of flexibility. This paper presents a portable system to achieve ultrasonic neuro-stimulation to satisfy various studies. The system incorporated a high voltage waveform generator and a matching circuit that were optimized for neuro-stimulation. A new switching mode power amplifier was designed and fabricated. The noise generated by the power amplifier was reduced (about 30 dB), and the size and weight were smaller in contrast with commercial equipment. In addition, a miniaturized ultrasound transducer was fabricated using Pb(Mg 1/3 Nb 2/3 )O 3 -PbTiO 3 (PMN-PT) 1-3 composite single crystal for the improved ultrasonic performance. The spatial peak temporal average pressure was higher than 250 kPa in the range of 0.5-5 MHz. In vitro and in vivo studies were conducted to show the performance of the system.

Working Memory for Linguistic and Non-linguistic Manual Gestures: Evidence, Theory, and Application

Directory of Open Access Journals (Sweden)

Mary Rudner

2018-05-01

Full Text Available Linguistic manual gestures are the basis of sign languages used by deaf individuals. Working memory and language processing are intimately connected and thus when language is gesture-based, it is important to understand related working memory mechanisms. This article reviews work on working memory for linguistic and non-linguistic manual gestures and discusses theoretical and applied implications. Empirical evidence shows that there are effects of load and stimulus degradation on working memory for manual gestures. These effects are similar to those found for working memory for speech-based language. Further, there are effects of pre-existing linguistic representation that are partially similar across language modalities. But above all, deaf signers score higher than hearing non-signers on an n-back task with sign-based stimuli, irrespective of their semantic and phonological content, but not with non-linguistic manual actions. This pattern may be partially explained by recent findings relating to cross-modal plasticity in deaf individuals. It suggests that in linguistic gesture-based working memory, semantic aspects may outweigh phonological aspects when processing takes place under challenging conditions. The close association between working memory and language development should be taken into account in understanding and alleviating the challenges faced by deaf children growing up with cochlear implants as well as other clinical populations.

OpenCL Implementation of NeuroIsing

Science.gov (United States)

Zapart, C. A.

Recent advances in graphics card hardware combined with anintroduction of the OpenCL standard promise to accelerate numerical simulations across diverse scientific disciplines. One such field benefiting from new hardware/software paradigms is econophysics. The paper describes an OpenCL implementation of a selected econophysics model: NeuroIsing, which has been designed to execute in parallel on a vendor-independent graphics card. Originally introduced in the paper [C.~A.~Zapart, ``Econophysics in Financial Time Series Prediction'', PhD thesis, Graduate University for Advanced Studies, Japan (2009)], at first it was implemented on a CELL processor running inside a SONY PS3 games console. The NeuroIsing framework can be applied to predicting and trading foreign exchange as well as stock market index futures.

The Neuro-Image: Alain Resnais's Digital Cinema without the Digits

NARCIS (Netherlands)

Pisters, P.

2011-01-01

This paper proposes to read cinema in the digital age as a new type of image, the neuroimage. Going back to Gilles Deleuze's cinema books and it is argued that the neuro-image is based in the future. The cinema of Alain Resnais is analyzed as a neuro-image and digital cinema .

Designing visual displays and system models for safe reactor operations

International Nuclear Information System (INIS)

Brown-VanHoozer, S.A.

1995-01-01

The material presented in this paper is based on two studies involving the design of visual displays and the user's prospective model of a system. The studies involve a methodology known as Neuro-Linguistic Programming and its use in expanding design choices from the operator's perspective image. The contents of this paper focuses on the studies and how they are applicable to the safety of operating reactors

The Linguistic Memory of Composition and the Rhetoric and Composition PhD: Forgetting (and Remembering) Language and Language Difference in Doctoral Curricula

Science.gov (United States)

Kilfoil, Carrie Byars

2017-01-01

This article analyzes the decline of linguistics in rhetoric and composition PhD programs in terms of the "linguistic memory" (Trimbur) of composition. Since the field of linguistics once offered the primary means for composition to address the structural, psychological, sociohistorical, and cultural dimensions of language in student…

Uncommon presentation of neuro- cysticercosis

African Journals Online (AJOL)

Uncommon presentation of neuro- cysticercosis. Neurocysticercosis (NCC) is a common parasitic infection of the central nervous system caused by the pork tapeworm Taenia solium. The clinical presentation of NCC in children includes generalised and partial seizures with or without features of raised intracranial pressure.

The effectiveness of linguistic plays on the grammatical skills of hearing-impaired children with hearing aids

Directory of Open Access Journals (Sweden)

Sahar Mohammad Esmaeilzadeh

2014-12-01

Full Text Available Background and Aim: Grammatical skills development of hearing-impaired children depends on using appropriate educational rehabilitation programs. This study aims to investigate the effectiveness of linguistic plays on the grammatical skills in hearing-impaired children with hearing aids.Methods: Ten hearing-impaired children with hearing aids, aged between 5 and 7, were randomly assigned to two groups (5 children in each group. Each treatment group received 12 sessions on linguistic plays. The grammatical skills of these children were evaluated via the TOLD-P: 3 (Persian version; in addition, their level of intelligence was assessed by the Raven test.Results: The difference between the scores of both control and treatment groups revealed a statistically significant difference in grammatical skills (t=7.61, p=0.001 and three subskills of the children who participated in the linguistic plays. These subskills include syntactic understanding (t=3.16, p=0.013, sentence imitation (t=1.71, p=0.006, and morphological completion (t=6.55, p=0.001. In other words, the findings suggest that linguistic plays have a significant impact on the improvement of the aforementioned skills in hearing-impaired children.Conclusion: Results suggest that it would be beneficial to include linguistic plays as part of routine rehabilitation programs as a means of improving the grammatical difficulties of children. After partaking in linguistic plays, children significantly improved their ability to comprehend the meaning of sentences and also to recognize, understand, and use common Persian morphological forms.

Reaching Linguistically and Culturally Diverse Young Learners with Disabilities.

Science.gov (United States)

Marcus, Susanne D.; Ames, Margery E.

1998-01-01

Describes how cross-over training and a whole-school approach help preschool educators assist disabled students who have not yet acquired their native language, examining New York's English-as-a Second-Language/Linguistically and Culturally Diverse Training Program for Pre-K Special Education Personnel, which trains preschool personnel to meet…

Stellenbosch Papers in Linguistics Plus: Journal Sponsorship

African Journals Online (AJOL)

Publisher. Stellenbosch Papers in Linguistics (SPiL) is published by the Department of General Linguistics of Stellenbosch University. Department of General Linguistics, Stellenbosch University. Sources of Support. The Department of General Linguistics acknowledges the financial support provided by the Fonds ...

Peace linguistics for language teachers

Directory of Open Access Journals (Sweden)

Francisco GOMES DE MATOS

2014-12-01

Full Text Available This text aims at presenting the concept of Peace Linguistics - origins and recent developments -- as being implemented in the author's ongoing work in that emerging branch of Applied Linguistics. Examples of applicational possibilities are given, with a focus on language teaching-learning and a Checklist is provided, of topics for suggested linguistic-educational research, centered on communicative peace.

Legal Linguistics as a Mutual Arena for Cooperation: Recent Developments in the Field of Applied Linguistics and Law

Science.gov (United States)

Engberg, Jan

2013-01-01

This article reports on some of the recent projects and individual works in the field of Legal Linguistics as examples of cooperation between Applied Linguistics and law. The article starts by discussing relevant prototypical concepts of Legal Linguistics. Legal Linguistics scrutinizes interactions between human beings in the framework of legal…

Knowledge representation and management: benefits and challenges of the semantic web for the fields of KRM and NLP.

Science.gov (United States)

Rassinoux, A-M

2011-01-01

To summarize excellent current research in the field of knowledge representation and management (KRM). A synopsis of the articles selected for the IMIA Yearbook 2011 is provided and an attempt to highlight the current trends in the field is sketched. This last decade, with the extension of the text-based web towards a semantic-structured web, NLP techniques have experienced a renewed interest in knowledge extraction. This trend is corroborated through the five papers selected for the KRM section of the Yearbook 2011. They all depict outstanding studies that exploit NLP technologies whenever possible in order to accurately extract meaningful information from various biomedical textual sources. Bringing semantic structure to the meaningful content of textual web pages affords the user with cooperative sharing and intelligent finding of electronic data. As exemplified by the best paper selection, more and more advanced biomedical applications aim at exploiting the meaningful richness of free-text documents in order to generate semantic metadata and recently to learn and populate domain ontologies. These later are becoming a key piece as they allow portraying the semantics of the Semantic Web content. Maintaining their consistency with documents and semantic annotations that refer to them is a crucial challenge of the Semantic Web for the coming years.

Optimization of Neuro-Fuzzy System Using Genetic Algorithm for Chromosome Classification

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M. Sarosa

2013-09-01

Full Text Available Neuro-fuzzy system has been shown to provide a good performance on chromosome classification but does not offer a simple method to obtain the accurate parameter values required to yield the best recognition rate. This paper presents a neuro-fuzzy system where its parameters can be automatically adjusted using genetic algorithms. The approach combines the advantages of fuzzy logic theory, neural networks, and genetic algorithms. The structure consists of a four layer feed-forward neural network that uses a GBell membership function as the output function. The proposed methodology has been applied and tested on banded chromosome classification from the Copenhagen Chromosome Database. Simulation result showed that the proposed neuro-fuzzy system optimized by genetic algorithms offers advantages in setting the parameter values, improves the recognition rate significantly and decreases the training/testing time which makes genetic neuro-fuzzy system suitable for chromosome classification.

The role of ethics in data governance of large neuro-ICT projects.

Science.gov (United States)

Stahl, Bernd Carsten; Rainey, Stephen; Harris, Emma; Fothergill, B Tyr

2018-05-14

We describe current practices of ethics-related data governance in large neuro-ICT projects, identify gaps in current practice, and put forward recommendations on how to collaborate ethically in complex regulatory and normative contexts. We undertake a survey of published principles of data governance of large neuro-ICT projects. This grounds an approach to a normative analysis of current data governance approaches. Several ethical issues are well covered in the data governance policies of neuro-ICT projects, notably data protection and attribution of work. Projects use a set of similar policies to ensure users behave appropriately. However, many ethical issues are not covered at all. Implementation and enforcement of policies remain vague. The data governance policies we investigated indicate that the neuro-ICT research community is currently close-knit and that shared assumptions are reflected in infrastructural aspects. This explains why many ethical issues are not explicitly included in data governance policies at present. With neuro-ICT research growing in scale, scope, and international involvement, these shared assumptions should be made explicit and reflected in data governance.

Measuring the diffusion of linguistic change.

Science.gov (United States)

Nerbonne, John

2010-12-12

We examine situations in which linguistic changes have probably been propagated via normal contact as opposed to via conquest, recent settlement and large-scale migration. We proceed then from two simplifying assumptions: first, that all linguistic variation is the result of either diffusion or independent innovation, and, second, that we may operationalize social contact as geographical distance. It is clear that both of these assumptions are imperfect, but they allow us to examine diffusion via the distribution of linguistic variation as a function of geographical distance. Several studies in quantitative linguistics have examined this relation, starting with Séguy (Séguy 1971 Rev. Linguist. Romane 35, 335-357), and virtually all report a sublinear growth in aggregate linguistic variation as a function of geographical distance. The literature from dialectology and historical linguistics has mostly traced the diffusion of individual features, however, so that it is sensible to ask what sort of dynamic in the diffusion of individual features is compatible with Séguy's curve. We examine some simulations of diffusion in an effort to shed light on this question.

Antibody-based investigational approaches in neuro-proteomics and neurodegenerative diseases

Czech Academy of Sciences Publication Activity Database

Gadher, S. J.; Kovářová, Hana

2015-01-01

Roč. 78, Suppl 2 (2015), s. 10-10 ISSN 1210-7859. [Conference on Animal Models for neuro degenerative Diseases /3./. 08.11.2015-10.11.2015, Liblice] R&D Projects: GA MŠk ED2.1.00/03.0124 Institutional support: RVO:67985904 Keywords : neuro degeneration * disease models * multiplexing Subject RIV: EB - Genetics ; Molecular Biology

Neuro-Behçet hos en kaukasid dansk patient

DEFF Research Database (Denmark)

Karshena, Ali; Koch-Henriksen, Nils

2010-01-01

. The diagnosis of neuro-Behçet can be difficult to establish if the mucocutaneous involvement is incomplete, absent, or unattended. We present an exceptional case of neuro-Behçet in a 38-year-old Caucasian Danish woman. On account of the risk of serious complication, it is important to make the diagnosis as soon...

Linguistic Dating of Biblical Texts

DEFF Research Database (Denmark)

Ehrensvärd, Martin Gustaf

2003-01-01

For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed the chronol......For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed...... the chronology of the texts established by other means: the Hebrew of Genesis-2 Kings was judged to be early and that of Esther, Daniel, Ezra, Nehemiah, and Chronicles to be late. In the current debate where revisionists have questioned the traditional dating, linguistic arguments in the dating of texts have...... come more into focus. The study critically examines some linguistic arguments adduced to support the traditional position, and reviewing the arguments it points to weaknesses in the linguistic dating of EBH texts to pre-exilic times. When viewing the linguistic evidence in isolation it will be clear...

NeuroManager: A workflow analysis based simulation management engine for computational neuroscience

Directory of Open Access Journals (Sweden)

David Bruce Stockton

2015-10-01

Full Text Available We developed NeuroManager, an object-oriented simulation management software engine for computational neuroscience. NeuroManager automates the workflow of simulation job submissions when using heterogeneous computational resources, simulators, and simulation tasks. The object-oriented approach 1 provides flexibility to adapt to a variety of neuroscience simulators, 2 simplifies the use of heterogeneous computational resources, from desktops to super computer clusters, and 3 improves tracking of simulator/simulation evolution. We implemented NeuroManager in Matlab, a widely used engineering and scientific language, for its signal and image processing tools, prevalence in electrophysiology analysis, and increasing use in college Biology education. To design and develop NeuroManager we analyzed the workflow of simulation submission for a variety of simulators, operating systems, and computational resources, including the handling of input parameters, data, models, results, and analyses. This resulted in twenty-two stages of simulation submission workflow. The software incorporates progress notification, automatic organization, labeling, and time-stamping of data and results, and integrated access to Matlab's analysis and visualization tools. NeuroManager provides users with the tools to automate daily tasks, and assists principal investigators in tracking and recreating the evolution of research projects performed by multiple people. Overall, NeuroManager provides the infrastructure needed to improve workflow, manage multiple simultaneous simulations, and maintain provenance of the potentially large amounts of data produced during the course of a research project.

[Establishment of diagnosis and treatment patterns of holistic integrated medicine for neuro-ophthalmology].

Science.gov (United States)

Wang, Yanling

2014-12-01

Neuro-ophthalmology, as an interdisciplinary, covers at least three disciplines- ophthalmology, neurology and neurosurgery. With limited knowledge in each discipline, doctors often make misdiagnoses for neuro-ophthalmology diseases. Therefore, it is imperative to abandon the distinction between disciplines and combine all the knowledge to diagnose and treat patients in patterns of holistic integrated medicine in order to effectively improve the diagnosis and treatment of neuro-ophthalmology.

Macroscopic Rock Texture Image Classification Using a Hierarchical Neuro-Fuzzy Class Method

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Laercio B. Gonçalves

2010-01-01

Full Text Available We used a Hierarchical Neuro-Fuzzy Class Method based on binary space partitioning (NFHB-Class Method for macroscopic rock texture classification. The relevance of this study is in helping Geologists in the diagnosis and planning of oil reservoir exploration. The proposed method is capable of generating its own decision structure, with automatic extraction of fuzzy rules. These rules are linguistically interpretable, thus explaining the obtained data structure. The presented image classification for macroscopic rocks is based on texture descriptors, such as spatial variation coefficient, Hurst coefficient, entropy, and cooccurrence matrix. Four rock classes have been evaluated by the NFHB-Class Method: gneiss (two subclasses, basalt (four subclasses, diabase (five subclasses, and rhyolite (five subclasses. These four rock classes are of great interest in the evaluation of oil boreholes, which is considered a complex task by geologists. We present a computer method to solve this problem. In order to evaluate system performance, we used 50 RGB images for each rock classes and subclasses, thus producing a total of 800 images. For all rock classes, the NFHB-Class Method achieved a percentage of correct hits over 73%. The proposed method converged for all tests presented in the case study.

Linguistic Intuitions and Cognitive Penetrability

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Michael Devitt

2014-12-01

Full Text Available Metalinguistic intuitions play a very large evidential role in both linguistics and philosophy. Linguists think that these intuitions are products of underlying linguistic competence. I call this view “the voice of competence” (“VoC”. Although many philosophers seem to think that metalinguistic intuitions are a priori many may implicitly hold the more scientifically respectable VoC. According to VoC, I argue, these intuitions can be cognitively penetrated by the central processor. But, I have argued elsewhere, VoC is false. Instead, we should hold “the modest explanation” (“ME” according to which these intuitions are fairly unreflective empirical theory-laden central-processor responses to phenomena. On ME, no question of cognitive penetration arises. ME has great methodological significance for the study of language. Insofar as we rely on intuitions as evidence we should prefer those of linguists and philosophers because they are more expert. But, more importantly, we should be seeking other evidence in linguistic usage.

NeuroD1: developmental expression and regulated genes in the rodent pineal gland

DEFF Research Database (Denmark)

Muñoz, Estela M; Bailey, Michael J; Rath, Martin F

2007-01-01

NeuroD1/BETA2, a member of the bHLH transcription factor family, is known to influence the fate of specific neuronal, endocrine and retinal cells. We report here that NeuroD1 mRNA is highly abundant in the developing and adult rat pineal gland. Pineal expression begins in the 17-day embryo at which...... time it is also detectable in other brain regions. Expression in the pineal gland increases during the embryonic period and is maintained thereafter at levels equivalent to those found in the cerebellum and retina. In contrast, NeuroD1 mRNA decreases markedly in non-cerebellar brain regions during...... development. Pineal NeuroD1 levels are similar during the day and night, and do not appear to be influenced by sympathetic neural input. Gene expression analysis of the pineal glands from neonatal NeuroD1 knockout mice identifies 127 transcripts that are down-regulated (>twofold, p

Phonotactics in inductive logic programming

NARCIS (Netherlands)

Nerbonne, J.; Konstantopoulos, S.; Klopotek, M.A.; Wierzchon, S.T.; Trojanowski, K.

2004-01-01

We examine the results of applying inductive logic programming (ILP) to a relatively simple linguistic task, that of recognizing monosyllables in one language. ILP is suited to linguistic problems given linguists' preference for formulating their theories in discrete rules, and because of ILP's

M.Yu. Lermontov’s linguistic/literary personality through perspective of linguistic personality perception by philologist V.V. Vinogrado

Directory of Open Access Journals (Sweden)

Larisa N. Kuznetsova

2011-04-01

Full Text Available The article considers M.Yu. Lermontov’s linguistic / literary personality through perspective of linguistic personality perception by Great Russian scientist-philologist and linguist, Academician V.V. Vinogradov.

Teaching Hispanic Linguistics: Strategies to Engage Learners

Science.gov (United States)

Knouse, Stephanie M.; Gupton, Timothy; Abreau, Laurel

2015-01-01

Even though many post-secondary institutions offer a variety of Hispanic linguistics classes (Hualde 2006; Lipski 2006), research on the pedagogy of Hispanic linguistics is an underdeveloped or non-existent area of the discipline. Courses in Hispanic linguistics can present not only linguistic challenges for non-native speakers of Spanish, but…

Gender Differences in the Primary Representational System according to Neurolinguistic Programming.

Science.gov (United States)

Cassiere, M. F.; And Others

Neurolinguistic Programming (NLP) is a currently popular therapeutic modality in which individuals organize information through three basic sensory systems, one of which is the Primary Representational System (PRS). This study was designed to investigate gender differences in PRS according to the predicate preference method. It was expected that…

The Danish Neuro-Oncology Registry

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Hansen S

2016-10-01

Full Text Available Steinbjørn Hansen Department of Oncology, Odense University Hospital and Institute of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark Aim of database: The Danish Neuro-Oncology Registry (DNOR was established by the Danish Neuro-Oncology Group as a national clinical database. It was established for the purpose of supporting research and development in adult patients with primary brain tumors in Denmark. Study population: DNOR has registered clinical data on diagnostics and treatment of all adult patients diagnosed with glioma since January 1, 2009, which numbers approximately 400 patients each year. Main variables: The database contains information about symptoms, presurgical magnetic resonance imaging (MRI characteristics, performance status, surgical procedures, residual tumor on postsurgical MRI, postsurgical complications, diagnostic and histology codes, radiotherapy, and chemotherapy. Descriptive data: DNOR publishes annual reports on descriptive data. During the period of registration, postoperative MRI is performed in a higher proportion of the patients (Indicator II, and a higher proportion of patients have no residual tumor after surgical resection of the primary tumor (Indicator IV. Further data are available in the annual reports. The indicators reflect only minor elements of handling brain tumor patients. Another advantage of reporting indicators is the related multidisciplinary discussions giving a better understanding of what actually is going on, thereby facilitating the work on adjusting the national guidelines in the Danish Neuro-Oncology Group. Conclusion: The establishment of DNOR has optimized the quality in handling primary brain tumor patients in Denmark by reporting indicators and facilitating a better multidisciplinary collaboration at a national level. DNOR provides a valuable resource for research. Keywords: brain neoplasms, brain cancer, glioma, clinical quality indicators

Stellenbosch Papers in Linguistics

African Journals Online (AJOL)

Stellenbosch Papers in Linguistics (SPiL) is an annual/biannual open access, peer-reviewed international journal, published by the Department of General Linguistics, Stellenbosch University. The papers published in SPiL are ... Poetry in South African Sign Language: What is different? EMAIL FREE FULL TEXT EMAIL ...

Kleptomania in Patients with Neuro-Behçet's Disease

OpenAIRE

Shugaiv, Erkingül; Kıyat-Atamer, Aslı; Tüzün, Erdem; Kürtüncü, Murat; Baral-Kulaksızoğlu, Işın; Akman Demir, Gülşen

2013-01-01

Objective This study was conducted to characterize the prevalence and clinical features of kleptomania, an impulse control disorder, in patients with Behçet's disease involving the central nervous system. Subjects and Methods Medical records of 350 patients with neuro-Behçet's disease were evaluated, and clinical and neuropsychological features of patients with kleptomania were noted. Results Of the 350 neuro-Behçet's disease patients 6 (1.7%) had presented with symptoms that fulfilled the cr...

The neurogenic factor NeuroD1 is expressed in post-mitotic cells during juvenile and adult Xenopus neurogenesis and not in progenitor or radial glial cells.

Directory of Open Access Journals (Sweden)

Laure Anne D'Amico

Full Text Available In contrast to mammals that have limited proliferation and neurogenesis capacities, the Xenopus frog exhibit a great potential regarding proliferation and production of new cells in the adult brain. This ability makes Xenopus a useful model for understanding the molecular programs required for adult neurogenesis. Transcriptional factors that control adult neurogenesis in vertebrate species undergoing widespread neurogenesis are unknown. NeuroD1 is a member of the family of proneural genes, which function during embryonic neurogenesis as a potent neuronal differentiation factor. Here, we study in detail the expression of NeuroD1 gene in the juvenile and adult Xenopus brains by in situ hybridization combined with immunodetections for proliferation markers (PCNA, BrdU or in situ hybridizations for cell type markers (Vimentin, Sox2. We found NeuroD1 gene activity in many brain regions, including olfactory bulbs, pallial regions of cerebral hemispheres, preoptic area, habenula, hypothalamus, cerebellum and medulla oblongata. We also demonstrated by double staining NeuroD1/BrdU experiments, after long post-BrdU administration survival times, that NeuroD1 gene activity was turned on in new born neurons during post-metamorphic neurogenesis. Importantly, we provided evidence that NeuroD1-expressing cells at this brain developmental stage were post-mitotic (PCNA- cells and not radial glial (Vimentin+ or progenitors (Sox2+ cells.

From Patient-Specific Mathematical Neuro-Oncology to Precision Medicine

Directory of Open Access Journals (Sweden)

Anne eBaldock

2013-04-01

Full Text Available Gliomas are notoriously aggressive, malignant brain tumors that have variable response to treatment. These patients often have poor prognosis, informed primarily by histopathology. Mathematical neuro-oncology (MNO is a young and burgeoning field that leverages mathematical models to predict and quantify response to therapies. These mathematical models can form the basis of modern precision medicine approaches to tailor therapy in a patient-specific manner. Patient specific models (PSMs can be used to overcome imaging limitations, improve prognostic predictions, stratify patients and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. This review focuses on the growing translation of PSM to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific mathematical neuro-oncology.

5th International Conference on Fuzzy and Neuro Computing

CERN Document Server

Panigrahi, Bijaya; Das, Swagatam; Suganthan, Ponnuthurai

2015-01-01

This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering e...

Delivery mode and neonatal outcome after a trial of external cephalic version (ECV): a prospective trial of vaginal breech versus cephalic delivery.

Science.gov (United States)

Reinhard, Joscha; Sänger, Nicole; Hanker, Lars; Reichenbach, Lena; Yuan, Juping; Herrmann, Eva; Louwen, Frank

2013-04-01

To examine the delivery mode and neonatal outcome after a trial of external cephalic version (ECV) procedures. This is an interim analysis of an ongoing larger prospective off-centre randomised trial, which compares a clinical hypnosis intervention against neuro-linguistic programming (NLP) of women with a singleton breech foetus at or after 37(0/7) (259 days) weeks of gestation and normal amniotic fluid index. Main outcome measures were delivery mode and neonatal outcome. On the same day after the ECV procedure two patients (2 %), who had unsuccessful ECVs, had Caesarean sections (one due to vaginal bleeding and one due to pathological CTG). After the ECV procedure 40.4 % of women had cephalic presentation (n = 38) and 58.5 % (n = 55) remained breech presentation. One patient remained transverse presentation (n = 1; 1.1 %). Vaginal delivery was observed by 73.7 % of cephalic presentation (n = 28), whereas 26.3 % (n = 10) had in-labour Caesarean sections. Of those, who selected a trial of vaginal breech delivery, 42.4 % (n = 14) delivered vaginally and 57.6 % (n = 19) delivered via Caesarean section. There is a statistically significant difference between the rate of vaginal birth between cephalic presentation and trial of vaginal breech delivery (p = 0.009), however, no difference in neonatal outcome was observed. ECV is a safe procedure and can reduce not only the rate of elective Caesarean sections due to breech presentation but also the rate of in-labour Caesarean sections even if a trial of vaginal breech delivery is attempted.

Modeling of Activated Sludge Process Using Sequential Adaptive Neuro-fuzzy Inference System

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Mahsa Vajedi

2014-10-01

Full Text Available In this study, an adaptive neuro-fuzzy inference system (ANFIS has been applied to model activated sludge wastewater treatment process of Mobin petrochemical company. The correlation coefficients between the input variables and the output variable were calculated to determine the input with the highest influence on the output (the quality of the outlet flow in order to compare three neuro-fuzzy structures with different number of parameters. The predictions of the neuro-fuzzy models were compared with those of multilayer artificial neural network models with similar structure. The comparison indicated that both methods resulted in flexible, robust and effective models for the activated sludge system. Moreover, the root mean square of the error for neuro-fuzzy and neural network models were 5.14 and 6.59, respectively, which means the former is the superior method.

The dosage of the neuroD2 transcription factor regulates amygdala development and emotional learning

OpenAIRE

Lin, Chin-Hsing; Hansen, Stacey; Wang, Zhenshan; Storm, Daniel R.; Tapscott, Stephen J.; Olson, James M.

2005-01-01

The amygdala is centrally involved in formation of emotional memory and response to fear or risk. We have demonstrated that the lateral and basolateral amygdala nuclei fail to form in neuroD2 null mice and neuroD2 heterozygotes have fewer neurons in this region. NeuroD2 heterozygous mice show profound deficits in emotional learning as assessed by fear conditioning. Unconditioned fear was also diminished in neuroD2 heterozygotes compared to wild-type controls. Several key molecular regulators ...

Language cannot be reduced to biology: perspectives from neuro-developmental disorders affecting language learning.

Science.gov (United States)

Vasanta, D

2005-02-01

The study of language knowledge guided by a purely biological perspective prioritizes the study of syntax. The essential process of syntax is recursion--the ability to generate an infinite array of expressions from a limited set of elements. Researchers working within the biological perspective argue that this ability is possible only because of an innately specified genetic makeup that is specific to human beings. Such a view of language knowledge may be fully justified in discussions on biolinguistics, and in evolutionary biology. However, it is grossly inadequate in understanding language-learning problems, particularly those experienced by children with neurodevelopmental disorders such as developmental dyslexia, Williams syndrome, specific language impairment and autism spectrum disorders. Specifically, syntax-centered definitions of language knowledge completely ignore certain crucial aspects of language learning and use, namely, that language is embedded in a social context; that the role of envrironmental triggering as a learning mechanism is grossly underestimated; that a considerable extent of visuo-spatial information accompanies speech in day-to-day communication; that the developmental process itself lies at the heart of knowledge acquisition; and that there is a tremendous variation in the orthographic systems associated with different languages. All these (socio-cultural) factors can influence the rate and quality of spoken and written language acquisition resulting in much variation in phenotypes associated with disorders known to have a genetic component. Delineation of such phenotypic variability requires inputs from varied disciplines such as neurobiology, neuropsychology, linguistics and communication disorders. In this paper, I discuss published research that questions cognitive modularity and emphasises the role of the environment for understanding linguistic capabilities of children with neuro-developmental disorders. The discussion pertains

Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis.

Science.gov (United States)

Nemoto, Kiyotaka; Dan, Ippeita; Rorden, Christopher; Ohnishi, Takashi; Tsuzuki, Daisuke; Okamoto, Masako; Yamashita, Fumio; Asada, Takashi

2011-01-25

A variety of neuroimaging software packages have been released from various laboratories worldwide, and many researchers use these packages in combination. Though most of these software packages are freely available, some people find them difficult to install and configure because they are mostly based on UNIX-like operating systems. We developed a live USB-bootable Linux package named "Lin4Neuro." This system includes popular neuroimaging analysis tools. The user interface is customized so that even Windows users can use it intuitively. The boot time of this system was only around 40 seconds. We performed a benchmark test of inhomogeneity correction on 10 subjects of three-dimensional T1-weighted MRI scans. The processing speed of USB-booted Lin4Neuro was as fast as that of the package installed on the hard disk drive. We also installed Lin4Neuro on a virtualization software package that emulates the Linux environment on a Windows-based operation system. Although the processing speed was slower than that under other conditions, it remained comparable. With Lin4Neuro in one's hand, one can access neuroimaging software packages easily, and immediately focus on analyzing data. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It also provides a practical means of sharing analysis environments across sites.

The Dutch Linguistic Intraoperative Protocol: a valid linguistic approach to awake brain surgery.

Science.gov (United States)

De Witte, E; Satoer, D; Robert, E; Colle, H; Verheyen, S; Visch-Brink, E; Mariën, P

2015-01-01

Intraoperative direct electrical stimulation (DES) is increasingly used in patients operated on for tumours in eloquent areas. Although a positive impact of DES on postoperative linguistic outcome is generally advocated, information about the neurolinguistic methods applied in awake surgery is scarce. We developed for the first time a standardised Dutch linguistic test battery (measuring phonology, semantics, syntax) to reliably identify the critical language zones in detail. A normative study was carried out in a control group of 250 native Dutch-speaking healthy adults. In addition, the clinical application of the Dutch Linguistic Intraoperative Protocol (DuLIP) was demonstrated by means of anatomo-functional models and five case studies. A set of DuLIP tests was selected for each patient depending on the tumour location and degree of linguistic impairment. DuLIP is a valid test battery for pre-, intraoperative and postoperative language testing and facilitates intraoperative mapping of eloquent language regions that are variably located. Copyright © 2014 Elsevier Inc. All rights reserved.

The Unbalanced Linguistic Aggregation Operator in Group Decision Making

Directory of Open Access Journals (Sweden)

Li Zou

2012-01-01

Full Text Available Many linguistic aggregation methods have been proposed and applied in the linguistic decision-making problems. In practice, experts need to assess a number of values in a side of reference domain higher than in the other one; that is, experts use unbalanced linguistic values to express their evaluation for problems. In this paper, we propose a new linguistic aggregation operator to deal with unbalanced linguistic values in group decision making, we adopt 2-tuple representation model of linguistic values and linguistic hierarchies to express unbalanced linguistic values, and moreover, we present the unbalanced linguistic ordered weighted geometric operator to aggregate unbalanced linguistic evaluation values; a comparison example is given to show the advantage of our method.

Designing visual displays and system models for safe reactor operations

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A.

1995-12-31

The material presented in this paper is based on two studies involving the design of visual displays and the user`s prospective model of a system. The studies involve a methodology known as Neuro-Linguistic Programming and its use in expanding design choices from the operator`s perspective image. The contents of this paper focuses on the studies and how they are applicable to the safety of operating reactors.

Quantitative Research in Systemic Functional Linguistics

Science.gov (United States)

He, Qingshun

2018-01-01

The research of Systemic Functional Linguistics has been quite in-depth in both theory and practice. However, many linguists hold that Systemic Functional Linguistics has no hypothesis testing or experiments and its research is only qualitative. Analyses of the corpus, intelligent computing and language evolution on the ideological background of…

Automatic Contextual Text Correction Using The Linguistic Habits Graph Lhg

Directory of Open Access Journals (Sweden)

Marcin Gadamer

2009-01-01

Full Text Available Automatic text correction is an essential problem of today text processors and editors. Thispaper introduces a novel algorithm for automation of contextual text correction using a LinguisticHabit Graph (LHG also introduced in this paper. A specialist internet crawler hasbeen constructed for searching through web sites in order to build a Linguistic Habit Graphafter text corpuses gathered in polish web sites. The achieved correction results on a basis ofthis algorithm using this LHG were compared with commercial programs which also enableto make text correction: Microsoft Word 2007, Open Office Writer 3.0 and search engineGoogle. The achieved results of text correction were much better than correction made bythese commercial tools.

Linguistic fuzzy selection of liquid levelmeters in nuclear facilities

International Nuclear Information System (INIS)

Ghyym, S. H.

1999-01-01

In this work, a selection methodology of liquid levelmeters, especially, level sensors in non-nuclear category, to be installed in nuclear facilities is developed using a linguistic fuzzy approach. Depending on defuzzification techniques, the linguistic fuzzy methodology leads to either linguistic (exactly, fully-linguistic) or cardinal (i.e., semi-linguistic) evaluation. In the case of the linguistic method, for each alternative, fuzzy preference index is converted to linguistic utility value by means of a similarity measure determining the degree of similarity between fuzzy index and linguistic ratings. For the cardinal method, the index is translated to cardinal overall utility value. According to these values, alternatives of interest are linguistically or numerically evaluated and a suitable alternative can be selected. Under given selection criteria, the suitable selections out of some liquid levelmeters for nuclear facilities are dealt with using the linguistic fuzzy methodology proposed. Then, linguistic fuzzy evaluation results are compared with numerical results available in the literature. It is found that as to a suitable option the linguistic fuzzy selection is in agreement with the crisp numerical selection. In addition, this comparison shows that the fully-linguistic method facilitates linguistic interpretation regarding evaluation results

Linguistic fuzzy selection of liquid levelmeters in nuclear facilities

Energy Technology Data Exchange (ETDEWEB)

Ghyym, S. H. [KEPRI, Taejon (Korea, Republic of)

1999-10-01

In this work, a selection methodology of liquid levelmeters, especially, level sensors in non-nuclear category, to be installed in nuclear facilities is developed using a linguistic fuzzy approach. Depending on defuzzification techniques, the linguistic fuzzy methodology leads to either linguistic (exactly, fully-linguistic) or cardinal (i.e., semi-linguistic) evaluation. In the case of the linguistic method, for each alternative, fuzzy preference index is converted to linguistic utility value by means of a similarity measure determining the degree of similarity between fuzzy index and linguistic ratings. For the cardinal method, the index is translated to cardinal overall utility value. According to these values, alternatives of interest are linguistically or numerically evaluated and a suitable alternative can be selected. Under given selection criteria, the suitable selections out of some liquid levelmeters for nuclear facilities are dealt with using the linguistic fuzzy methodology proposed. Then, linguistic fuzzy evaluation results are compared with numerical results available in the literature. It is found that as to a suitable option the linguistic fuzzy selection is in agreement with the crisp numerical selection. In addition, this comparison shows that the fully-linguistic method facilitates linguistic interpretation regarding evaluation results.

Functional MR imaging of cerebral auditory cortex with linguistic and non-linguistic stimulation: preliminary study

International Nuclear Information System (INIS)

Kang, Su Jin; Kim, Jae Hyoung; Shin, Tae Min

1999-01-01

To obtain preliminary data for understanding the central auditory neural pathway by means of functional MR imaging (fMRI) of the cerebral auditory cortex during linguistic and non-linguistic auditory stimulation. In three right-handed volunteers we conducted fMRI of auditory cortex stimulation at 1.5 T using a conventional gradient-echo technique (TR/TE/flip angle: 80/60/40 deg). Using a pulsed tone of 1000 Hz and speech as non-linguistic and linguistic auditory stimuli, respectively, images-including those of the superior temporal gyrus of both hemispheres-were obtained in sagittal plases. Both stimuli were separately delivered binaurally or monoaurally through a plastic earphone. Images were activated by processing with homemade software. In order to analyze patterns of auditory cortex activation according to type of stimulus and which side of the ear was stimulated, the number and extent of activated pixels were compared between both temporal lobes. Biaural stimulation led to bilateral activation of the superior temporal gyrus, while monoaural stimulation led to more activation in the contralateral temporal lobe than in the ipsilateral. A trend toward slight activation of the left (dominant) temporal lobe in ipsilateral stimulation, particularly with a linguistic stimulus, was observed. During both biaural and monoaural stimulation, a linguistic stimulus produced more widespread activation than did a non-linguistic one. The superior temporal gyri of both temporal lobes are associated with acoustic-phonetic analysis, and the left (dominant) superior temporal gyrus is likely to play a dominant role in this processing. For better understanding of physiological and pathological central auditory pathways, further investigation is needed

Neuro-oncology Thallium 201 interest

International Nuclear Information System (INIS)

Guyot, M.; Latry, C.; Basse-Cathalinat, B.; Ducassou, D.; Guerin, J.; Maire, J.P.

1994-01-01

So and in spite of its histologic specificity absence, Tl 201 has an evident interest in neuro-oncology: for the low grade astrocytoma transformation diagnosis toward one higher grad; for the neoplasm residue and recidive diagnosis; and more generally as forecasted evolution element during the therapy. 2 figs., 4 tabs., 4 graphs

The Generic Style Rules for Linguistics

OpenAIRE

Haspelmath, Martin

2014-01-01

The Generic Style Rules for Linguistics provide a style sheet that can be used by any linguistics journal or edited book, or for teaching purposes. They regulate aspects of text-structure style such as typographic highlighting, citation style, use of capitalization, and bibliographic style (based on the LSA's Unified Stylesheet for linguistics).

Neuro-oxidative-nitrosative stress in sepsis

DEFF Research Database (Denmark)

Berg, Ronan M G; Møller, Kirsten; Bailey, Damian M

2011-01-01

Neuro-oxidative-nitrosative stress may prove the molecular basis underlying brain dysfunction in sepsis. In the current review, we describe how sepsis-induced reactive oxygen and nitrogen species (ROS/RNS) trigger lipid peroxidation chain reactions throughout the cerebrovasculature and surrounding...

The UC Davis/NIH NeuroMab Facility

Data.gov (United States)

Federal Laboratory Consortium — The mission of the UC Davis/NIH NeuroMab facility is to generate and distribute high quality, validated mouse monoclonal antibodies against molecular targets found...

Multilingual Techniques for Low Resource Automatic Speech Recognition

Science.gov (United States)

2016-05-20

linguistic and ASR expertise, and Regina, bringing in another point of view from the NLP side, really help shape the direction of some of the work in...improved keyword spotting. In Proc. ASRU, 2013. 41 [43] K. Kirchhoff and D. Vergyri. Cross-dialectal data sharing for acoustic modeling in Arabic speech

Use of Modality and Negation in Semantically-Informed Syntactic MT

Science.gov (United States)

2012-06-01

for computational linguistics. When an annotation scheme is consistent and well devel- oped, its subsequent application to NLP systems is most...example, to an Arabic –English system that has more than 100 times the amount of training data. The output in Figure 2 was produced using Moses (Koehn et

Neuro degenerative diseases: clinical concerns

International Nuclear Information System (INIS)

Ibanez, V.

2005-01-01

Idiopathic Parkinson's disease (PD) and Alzheimer's disease (AD) are the main neuro-degenerative diseases (NDDs) seen clinically. They share some common clinical symptoms and neuro-pathological findings. The increase of life expectancy in the developed countries will inevitably contribute to enhance the prevalence of these diseases. Behavioral disorders, common in NDDs, will produce major care management challenges. Idiopathic Parkinson's disease corresponds to a histopathological diagnosis, based on the observation of a de-pigmentation and a neuronal loss in the substantia nigra, as well as on the presence of intra-neuronal inclusion bodies. AD is insidious with slowly progressive dementia in which the decline in memory constitutes the main complaint. The diagnosis of definite AD requires the presence of clinical criteria as well as the histopathological confirmation of brain lesions. The two main lesions are the presence of senile plaques and neuro-fibrillary tangles. Positron emission tomography (PET) explores cerebral metabolism and neurotransmitter kinetics in NDDs using principally [ 18 F]-deoxyglucose and [ 18 F]-dopa. Nigrostriatal dopaminergic function is altered in PD, as evidenced by the low uptake of [ 18 F]-dopa in the posterior putamen as compared to anterior putamen and caudate nucleus. In contrast, [ 18 F]-dopa uptake is equally depressed in all striatal structures in progressive supra-nuclear palsy. Regional glucose metabolism at rest is preserved in elderly once cerebral atrophy is taken into account. On the contrary, glucose metabolism is globally reduced in AD, with marked decrease in the parietal and temporal regions. PET has proved to be useful to study in vivo neurochemical processes in patients suffering from NDDs. The potential of this approach is still largely unexploited, and depends on new ligand production to establish early diagnosis and treatment follow-up. (author)

Having Linguistic Rules and Knowing Linguistic Facts

Directory of Open Access Journals (Sweden)

Peter Ludlow

2010-11-01

Full Text Available

'Knowledge' doesn't correctly describe our relation to linguistic rules. It is too thick a notion (for example, we don't believe linguistic rules. On the other hand, 'cognize', without further elaboration, is too thin a notion, which is to say that it is too thin to play a role in a competence theory. One advantage of the term 'knowledge'-and presumably Chomsky's original motivation for using it-is that knowledge would play the right kind of role in a competence theory: Our competence would consist in a body of knowledge which we have and which we may or may not act upon-our performance need not conform to the linguistic rules that we know.

Is there a way out of the dilemma? I'm going to make the case that the best way to talk about grammatical rules is simply to say that we have them. That doesn't sound very deep, I know, but saying that we have individual rules leaves room for individual norm guidance in a way that 'cognize' does not. Saying we have a rule like subjacency is also thicker than merely saying we cognize it. Saying I have such a rule invites the interpretation that it is a rule for me-that I am normatively guided by it. The competence theory thus becomes a theory of the rules that we have. Whether we follow those rules is another matter entirely.

Neuro-Spect and neuropsychological test in the differential diagnosis of dementia

International Nuclear Information System (INIS)

Marroni, B.M.; Louzada, A.G.; Andrea, S.A.; Raupp, A.A.; Sprinz, C.S.; Marroni, S.M.; Canani, L.C.; Zagoury, E.Z.; Borneman, C.B.

2002-01-01

Background/Aim: The role of the Neuro-Spect scintigraphy as a diagnostic tool in central nervous system diseases is well established. However, the simultaneous application of a neuro-psychological test (NPT) may be used to enhance the diagnostic accuracy of the test. The aim of this study was to test if the concomitant use of the NPT may be used to improve the differential diagnostic accuracy of the scintigraphy. Methods: A total of 144 cerebral perfusion studies (CPS) (Tc-ECD, 1110 MBq) were performed between March and October 2001. From this total 63 patients with non-specific complains of memory loss formed the study group. Patients with cancer, psychiatric disturbs or craniotomies were excluded. For analysis the patients were divided in 3 subgroups according to the major complain: a) memory deficit, b) depression and C) organic syndrome that included patients with cerebral stroke, occult hydrocephalus and head trauma. All patients submitted to the Neuro-Spect underwent a simultaneous NPT. The NPT included the following tests: Digit Span (WAIS-R), verbal fluency, clock drawing task, Minimental State Examination (MMSE) and Rey Auditory Verbal Learning Test (RAVLT). Well-established criteria, such as symmetry and concentration of the Tc-ECD were used for evaluation of the CPS. Concordance of the findings in the CPS and the anatomic lesion was used to reinforce the final conclusions. A scale for Alzheimer's Like Dementia (ALD) from 1 to 8 was developed (where 1=normal and 8 suggests ALD) using as reference the study of Holmann BL. Results: The NPT showed a positive correlation with the Neuro-Spect's probability scale. The tests with the best correlation were the verbal fluency (p<0.001), RAVLT and the memory recall (p<0.01). The MMSE did not show association with the Neuro-Spect probability scale. Conclusions: There is a positive association between the NPT and the Neuro-Spect. These results suggest that the NPT added to the Neuro-Spect may the be useful in the

Non-linguistic Conditions for Causativization as a Linguistic Attractor.

Science.gov (United States)

Nichols, Johanna

2017-01-01

An attractor, in complex systems theory, is any state that is more easily or more often entered or acquired than departed or lost; attractor states therefore accumulate more members than non-attractors, other things being equal. In the context of language evolution, linguistic attractors include sounds, forms, and grammatical structures that are prone to be selected when sociolinguistics and language contact make it possible for speakers to choose between competing forms. The reasons why an element is an attractor are linguistic (auditory salience, ease of processing, paradigm structure, etc.), but the factors that make selection possible and propagate selected items through the speech community are non-linguistic. This paper uses the consonants in personal pronouns to show what makes for an attractor and how selection and diffusion work, then presents a survey of several language families and areas showing that the derivational morphology of pairs of verbs like fear and frighten , or Turkish korkmak 'fear, be afraid' and korkutmak 'frighten, scare', or Finnish istua 'sit' and istutta 'seat (someone)', or Spanish sentarse 'sit down' and sentar 'seat (someone)' is susceptible to selection. Specifically, the Turkish and Finnish pattern, where 'seat' is derived from 'sit' by addition of a suffix-is an attractor and a favored target of selection. This selection occurs chiefly in sociolinguistic contexts of what is defined here as linguistic symbiosis, where languages mingle in speech, which in turn is favored by certain demographic, sociocultural, and environmental factors here termed frontier conditions. Evidence is surveyed from northern Eurasia, the Caucasus, North and Central America, and the Pacific and from both modern and ancient languages to raise the hypothesis that frontier conditions and symbiosis favor causativization.

NeuroMind : Past, present, and future

NARCIS (Netherlands)

Kubben, Pieter L

2017-01-01

This narrative report describes the underlying rationale and technical developments of NeuroMind, a mobile clinical decision support system for neurosurgery. From the perspective of a neurosurgeon - (app) developer it explains how technical progress has shaped the world's "most rated and highest

Georgetown University Round Table on Languages and Linguistics 2001. Linguistics, Language, and the Real World: Discourse and Beyond.

Science.gov (United States)

Tannen, Deborah, Ed.; Alatis, James E., Ed.

This book contains papers from the 2001 Georgetown University Round Table on Languages and Linguistics, "Linguistics, Language, and the Real World: Discourse and Beyond." Papers include: "Introduction" (Deborah Tannen); "A Brief History of the Georgetown University Round Table on Languages and Linguistics" (James E.…

Harmonization and development of resources and tools for Italian natural language processing within the PARLI project

CERN Document Server

Bosco, Cristina; Delmonte, Rodolfo; Moschitti, Alessandro; Simi, Maria

2015-01-01

The papers collected in this volume are selected as a sample of the progress in Natural Language Processing (NLP) performed within the Italian NLP community and especially attested by the PARLI project. PARLI (Portale per l’Accesso alle Risorse in Lingua Italiana) is a project partially funded by the Ministero Italiano per l’Università e la Ricerca (PRIN 2008) from 2008 to 2012 for monitoring and fostering the harmonic growth and coordination of the activities of Italian NLP. It was proposed by various teams of researchers working in Italian universities and research institutions. According to the spirit of the PARLI project, most of the resources and tools created within the project and here described are freely distributed and they did not terminate their life at the end of the project itself, hoping they could be a key factor in future development of computational linguistics.

The relationship between hypnotizability, internal imagery, and efficiency of neurolinguistic programming.

Science.gov (United States)

Kirenskaya, Anna V; Novototsky-Vlasov, Vladimir Y; Chistyakov, Andrey N; Zvonikov, Vyacheslav M

2011-04-01

Subjective scoring and autonomic variables (heart rate, skin conduction span) were used to verify the reality of inner experience during recollection of emotionally neutral, positive, and negative past events in 19 high (HH) and 12 low (LH) hypnotizable subjects in hypnotic and nonhypnotic experimental sessions. Also, the influence of hypnotizability on the effectiveness of an imagery-based neurolinguistic programming (NLP) technique was evaluated. Results demonstrated that subjective scores of image vividness and emotional intensity were significantly higher in the HH subjects compared to LH in both sessions. The past-events recollection was followed by increased autonomic activity only in the HH subjects. The NLP procedure was followed by decreased negative emotional intensity in both groups, but autonomic activity decline was observed in the HH subjects and not in the LH.

Neuro-fuzzy controller to navigate an unmanned vehicle.

Science.gov (United States)

Selma, Boumediene; Chouraqui, Samira

2013-12-01

A Neuro-fuzzy control method for an Unmanned Vehicle (UV) simulation is described. The objective is guiding an autonomous vehicle to a desired destination along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles like donkey traffic lights and cars circulating in the trajectory. The autonomous navigate ability and road following precision are mainly influenced by its control strategy and real-time control performance. Fuzzy Logic Controller can very well describe the desired system behavior with simple "if-then" relations owing the designer to derive "if-then" rules manually by trial and error. On the other hand, Neural Networks perform function approximation of a system but cannot interpret the solution obtained neither check if its solution is plausible. The two approaches are complementary. Combining them, Neural Networks will allow learning capability while Fuzzy-Logic will bring knowledge representation (Neuro-Fuzzy). In this paper, an artificial neural network fuzzy inference system (ANFIS) controller is described and implemented to navigate the autonomous vehicle. Results show several improvements in the control system adjusted by neuro-fuzzy techniques in comparison to the previous methods like Artificial Neural Network (ANN).

Conversation Analysis and Applied Linguistics.

Science.gov (United States)

Schegloff, Emanuel A.; Koshik, Irene; Jacoby, Sally; Olsher, David

2002-01-01

Offers biographical guidance on several major areas of conversation-analytic work--turn-taking, repair, and word selection--and indicates past or potential points of contact with applied linguistics. Also discusses areas of applied linguistic work. (Author/VWL)

Validation of the Neuro-QoL measurement system in children with epilepsy.

Science.gov (United States)

Lai, Jin-Shei; Nowinski, Cindy J; Zelko, Frank; Wortman, Katy; Burns, James; Nordli, Douglas R; Cella, David

2015-05-01

Children with epilepsy often face complex psychosocial consequences that are not fully captured by existing patient-reported outcome (PRO) measures. The Neurology Quality of Life Measurement System "Neuro-QoL" was developed to provide a set of common PRO measures that address issues important to people with neurologic disorders. This paper reports Neuro-QoL (anxiety, depression, interaction with peers, fatigue, pain, cognitive function, stigma, and upper and lower extremity functions) validation in children with epilepsy. Patients (aged 10-18years) diagnosed with epilepsy completed Neuro-QoL and legacy measures at time 1 (initial study visit) and 6-month follow-up. Internal consistency reliability was also evaluated. Concurrent validity was assessed by comparing Neuro-QoL measures with more established "legacy" measures of the same concepts. Clinical validity was evaluated by comparing mean Neuro-QoL scores of patients grouped by clinical anchors such as disease severity. Responsiveness of the Neuro-QoL from time 1 (initial study visit) to 6months was evaluated using self-reported change as the primary anchor. Sixty-one patients (mean age=13.4years; 62.3% male, 75.9% white) participated. Most patients (64.2%) had been seizure-free in the 3months prior to participation, and seizure frequency was otherwise described as follows: 17.8% daily, 13.3% weekly, 35.6% monthly, and 33.3% yearly. All patients were taking antiepileptic drugs. Patients reported better function/less symptoms compared to the reference groups. Internal consistency (alpha) coefficients ranged from 0.76 to 0.87. Patients with different seizure frequencies differed on anxiety (pNeuro-QoL measures were significantly correlated with other measures assessing similar domains. Stigma was related to self-reported change in several areas of functioning but in sometimes unexpected directions. The Neurology Quality of Life Measurement System is a valid and reliable assessment tool for children with epilepsy

Model Pembelajaran Neurolinguistic Programming Berorientasi Karakter Bagi Peningkatan Kemampuan Menulis Siswa SMP

OpenAIRE

-, Wikanengsih

2013-01-01

Abstract: Character-oriented Learning Model of Neurolinguistic-Programming to Improve Writing Ability. This mixed-method study aims to determine the effectiveness of character-oriented learning model of neurolinguistic programming (NLP) in improving students' writing ability. Employing a sequential exploratory strategy, this study began the first phase, which was qualitative in nature, to generate the hypo­thetical learning model. The second phase, which was quantitative, was a pilot applicat...

Studies of Standard English and Hawaiian Islands Creole English: KEEP Linguistic Research, 1971-1976. Technical Report No. 59.

Science.gov (United States)

Gallimore, Ronald; Tharp, Roland G.

This report presents a summary of the linguistic research conducted at the Kamehameha Early Education Program (KEEP) during its first five years of operation, as well as a description of relevant linguistic theories. The subjects of the research are the students in the KEEP elementary school (K-3) who were tested twice a year during the five-year…

Neuro-robotics from brain machine interfaces to rehabilitation robotics

CERN Document Server

Artemiadis

2014-01-01

Neuro-robotics is one of the most multidisciplinary fields of the last decades, fusing information and knowledge from neuroscience, engineering and computer science. This book focuses on the results from the strategic alliance between Neuroscience and Robotics that help the scientific community to better understand the brain as well as design robotic devices and algorithms for interfacing humans and robots. The first part of the book introduces the idea of neuro-robotics, by presenting state-of-the-art bio-inspired devices. The second part of the book focuses on human-machine interfaces for pe

Mathematical Modeling of Neuro-Vascular Coupling in Rat Cerebellum

DEFF Research Database (Denmark)

Rasmussen, Tina

Activity in the neurons called climbing fibers causes blood flow changes. But the physiological mechanisms which mediate the coupling are not well understood. This PhD thesis investigates the mechanisms of neuro-vascular coupling by means of mathematical methods. In experiments, the extracellularly...... measured field potential is used as an indicator of neuronal activity, and the cortical blood flow is measured by means of laser-Doppler flowmetry. Using system identification methods, these measurements have been used to construct and validate parametric mathematical models of the neuro-vascular system...

The Effect of Neurolinguistic Programming on Organisational and Individual Performance: A Case Study.

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Thompson, John E.; Courtney, Lisa; Dickson, D.

2002-01-01

A longitudinal evaluation measured the effects of neurolinguistic programming (NLP) on 67 hospitality worker immediately before and after and 6 weeks and 6 months after training. Positive increases in interpersonal communication appeared after 6 weeks, leveling off or declining after 6 months. Self-efficacy, self-esteem, and adaptive selling…

Lancaster Summer School in Corpus Linguistics

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Jaka Čibej

2016-11-01

Full Text Available Med 12. in 15. julijem je na Univerzi v Lancastru potekala poletna šola korpusnega jezikoslovja Lancaster Summer Schools in Corpus Linguistics and Other Digital Methods. Poletno šolo so organizirali UCREL (University Centre for Computer Corpus Research on Language, ERC (Evropski svet za raziskave – European Research Council, CASS (ESRC Centre for Corpus Approaches to Social Science in ESRC (Economic and Social Research Council, razdeljena pa je bila na šest programov, prilagojenih različnim področjem: Korpusno jezikoslovje za proučevanje jezikov (Corpus Linguistics for Language Studies, Korpusno jezikoslovje za družbene vede (Corpus Linguistics for Social Science, Korpusno jezikoslovje za humanistiko (Corpus Linguistics for Humanities, Statistika za korpusno jezikoslovje (Statistics for Corpus Linguistics, Geografski informacijski sistemi za digitalno humanistiko (Geographical Information Systems for the Digital Humanities in Korpusno podprta obdelava naravnih jezikov (Corpus-based Natural Language Processing.

Teaching Standard Italian to Dialect Speakers: A Pedagogical Perspective of Linguistic Systems in Contact

Science.gov (United States)

Danesi, Marcel

1974-01-01

The teaching of standard Italian to speakers of Italian dialects both in Italy and in North America is discussed, specifically through a specialized pedagogical program within the framework of a sociolinguistic and psycholinguistic perspective, and based on a structural analysis of linguistic systems in contact. Italian programs in Toronto are…

Predicting panel scores by linguistic analysis

Energy Technology Data Exchange (ETDEWEB)

Van den Besselaar, P.; Stout, L.; Gou, X

2016-07-01

In this paper we explore the use of text analysis for deriving quality indicators of project proposals. We do full text analysis of 3030 review reports. After term extraction, we aggregate the term occurrences to linguistic categories. Using thse linguistic categories as independent variables, we study how well these predict the grading by the review panels. Together, the different linguistic categories explain about 50% of the variance in the grading of the applications. The relative importance of the different linguistic categories inform us about the way the panels work. This can be used to develop altmetrics for the quality of the peer and panel review processes. (Author)

English linguistic purism: history, development, criticism

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Grishechko Ovsanna Savvichna

2015-12-01

Full Text Available Linguistic purism as an area of linguistic analysis describes the practices of identification and acknowledgement of a certain language variety as more structurally advanced as compared to its other varieties. Linguistic protection is associated with preservation of some abstract, classical, conservative linguistic ideal and performs the regulatory function, above all. The puristic approach to the development of the English language has been subjected to heated debate for several centuries and is reflected in both scientific research and literary texts. Supporters of purification of the English language champion the idea of protection of “pure language”. The idea, however, is actively criticized by opponents.

How many people constitute a crowd and what do they do ...

African Journals Online (AJOL)

Wiktionary is increasingly gaining influence in a wide variety of linguistic fields such as NLP and lexicography, and has great potential to become a serious competitor for publisher-based and academic dictionaries. However, little is known about the "crowd" that is responsible for the content of Wiktionary. In this article, we ...

Writing, Literacy, and Applied Linguistics.

Science.gov (United States)

Leki, Ilona

2000-01-01

Discusses writing and literacy in the domain of applied linguistics. Focus is on needs analysis for literacy acquisition; second language learner identity; longitudinal studies as extensions of identity work; and applied linguistics contributions to second language literacy research. (Author/VWL)

NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors.

Science.gov (United States)

Cheung, Kit; Schultz, Simon R; Luk, Wayne

2015-01-01

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high performance computing systems using customizable hardware processors such as Field-Programmable Gate Arrays (FPGAs). Unlike multi-core processors and application-specific integrated circuits, the processor architecture of NeuroFlow can be redesigned and reconfigured to suit a particular simulation to deliver optimized performance, such as the degree of parallelism to employ. The compilation process supports using PyNN, a simulator-independent neural network description language, to configure the processor. NeuroFlow supports a number of commonly used current or conductance based neuronal models such as integrate-and-fire and Izhikevich models, and the spike-timing-dependent plasticity (STDP) rule for learning. A 6-FPGA system can simulate a network of up to ~600,000 neurons and can achieve a real-time performance of 400,000 neurons. Using one FPGA, NeuroFlow delivers a speedup of up to 33.6 times the speed of an 8-core processor, or 2.83 times the speed of GPU-based platforms. With high flexibility and throughput, NeuroFlow provides a viable environment for large-scale neural network simulation.

Religious Experience from a Neuro-Psychological View

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Hadi Vakili

2011-08-01

Full Text Available The search for the basis of religious experience among neurological processes in the brain has resulted in a widespread debate within, as well as outside the academic world. The aim of this paper is to analyze to what extent a neuro-psychological theory could explain the phenomenon of  religious experience. To clarify what the neuro-psychological studies of  the present paper mean by the concept of  religious experience, the concept has been divided into three different types: The Erlebnis or RErl type, the Erfahrung or RErf type and the ideological type of religious experience or RIT type. Furthermore, the present paper is focused on the work of neuro-psychologist M. A. Persinger [1997, 1993, 1992, 1991, 1987, 1985, and 1984]. In his studies, Persinger indicates that mystical experience (RErl has its seat in the right hemisphere of the human brain, whereas (religious ideology (RIT is related to the left hemisphere. Consequently, the hemisphere in which the (religious experience is taking place seems to label the type of experience. Persinger, interested in the powerful effects of religious experience (of the RErf type on human beings, asserts that if we could understand the neuro-cognitive processes involved in experiencing religiously, such processes might be copied for clinical use in order to improve psychiatric therapy for curing depression. Thus, Persinger studied and compared people practicing religious meditation with people who did not, and also studied the results of PET scanning on the experiences of schizophrenic and epileptic patients. PET scanning measures the metabolic activity in the hemispheres, ranging it on a scale from under normal to over normal activity. This paper will account for the relevance of comparing these two apparently different studies and for the problem arising the experience of pain because, neurologically, pain, like religious experience,is said to be caused by processes in the human brain.

Non-linguistic Conditions for Causativization as a Linguistic Attractor

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Johanna Nichols

2018-01-01

Full Text Available An attractor, in complex systems theory, is any state that is more easily or more often entered or acquired than departed or lost; attractor states therefore accumulate more members than non-attractors, other things being equal. In the context of language evolution, linguistic attractors include sounds, forms, and grammatical structures that are prone to be selected when sociolinguistics and language contact make it possible for speakers to choose between competing forms. The reasons why an element is an attractor are linguistic (auditory salience, ease of processing, paradigm structure, etc., but the factors that make selection possible and propagate selected items through the speech community are non-linguistic. This paper uses the consonants in personal pronouns to show what makes for an attractor and how selection and diffusion work, then presents a survey of several language families and areas showing that the derivational morphology of pairs of verbs like fear and frighten, or Turkish korkmak ‘fear, be afraid’ and korkutmak ‘frighten, scare’, or Finnish istua ‘sit’ and istutta ‘seat (someone’, or Spanish sentarse ‘sit down’ and sentar ‘seat (someone’ is susceptible to selection. Specifically, the Turkish and Finnish pattern, where ‘seat’ is derived from ‘sit’ by addition of a suffix—is an attractor and a favored target of selection. This selection occurs chiefly in sociolinguistic contexts of what is defined here as linguistic symbiosis, where languages mingle in speech, which in turn is favored by certain demographic, sociocultural, and environmental factors here termed frontier conditions. Evidence is surveyed from northern Eurasia, the Caucasus, North and Central America, and the Pacific and from both modern and ancient languages to raise the hypothesis that frontier conditions and symbiosis favor causativization.

A Genetic Based Neuro-Fuzzy Controller System

International Nuclear Information System (INIS)

Mohamed, A.H.

2014-01-01

Recently, the mobile robots have great importance in the manufacturing processes. They are widely used for assembling processes, handling the dangerous components, moving the weighted things, etc. Designing the controller of the mobile robot is a very complex task. Many simple control systems used the neuro-fuzzy controller in the mobile robots. But, they faced with great complexity when moving in unstructured and dynamic environments. The proposed system introduces the uses of the genetic algorithm for optimizing the parameters of the neuro-fuzzy controller. So, the proposed system can improve the performance of the mobile robots. It has applied for a mobile robot used for moving the dangerous and critical materials in unstructured environment. Its results are compared with other traditional controller systems. The suggested system has proved its success for the real-time applications

A Neuro-psychological Explanation of Religious Experience?

DEFF Research Database (Denmark)

Runehov, Anne Leona Cesarine

2004-01-01

and for the problem arising when drawing inadequately reasoned conclusions. Key Words Religious experiences, religious Erlebnis, religious Erfahrung, (religious) ideology, neuroscience, neuropsychology, pain, PET, reductionism, partial reductionism, Transcendental Meditation, epilepsy, schizophrenia.......The search for the basis of religious experience among neurological processes in the brain has resulted in a widespread debate within, as well as outside the academic world. The aim of this paper is to analyse to what extent a neuro-psychological theory could explain the phenomenon of religious...... experience. To clarify what the neuro-psychological studies of the present paper mean by the concept of religious experience, the concept has been divided into three different types: the Erlebnis or RErl type, the Erfahrung or RErf type and the ideological or RIT type of religious experience. In his studies...

Stellenbosch Papers in Linguistics: Contact

African Journals Online (AJOL)

Mailing Address. Editors SPiL. Department of General Linguistics University of Stellenbosch Private Bag X1 Matieland, 7602. Stellenbosch South Africa. Principal Contact. Dr Kate Huddlestone Journal Manager Department of General Linguistics. University of Stellenbosch. Private Bag X1. Matieland, 7602. Stellenbosch.

Evaluating automatically annotated treebanks for linguistic research

NARCIS (Netherlands)

Bloem, J.; Bański, P.; Kupietz, M.; Lüngen, H.; Witt, A.; Barbaresi, A.; Biber, H.; Breiteneder, E.; Clematide, S.

2016-01-01

This study discusses evaluation methods for linguists to use when employing an automatically annotated treebank as a source of linguistic evidence. While treebanks are usually evaluated with a general measure over all the data, linguistic studies often focus on a particular construction or a group

Effect of NeuroD gene silencing on the migration and invasion of human pancreatic cancer cells PANC-1.

Science.gov (United States)

Wang, Yang; Su, Dong Wei; Gao, Li; Ding, Gui Ling; Ni, Can Rong; Zhu, Ming Hua

2014-07-01

The aim of this study is to investigate the influence of Lenti-EGFP-NeuroD-miR, RNAi lentiviral expression vector, on the expression level of NeuroD and migration, and invasion of PANC-1 cell line. PANC-1 cells were cultured and cotransfected with Lenti-EGFP-NeuroD-miR and Lenti-GFP. The infection rate of lentivirus was determined by fluorescence. The interfering effection by the expression of NeuroD mRNA in PANC-1 cells was analyzed by real-time PCR after transfected. Biological behavior of PANC-1 cells transinfected was observed, and the migration and invasion were studied by transwell assay. Intrapancreatic allografts model in nude mice was established to observe the effects of NeuroD on tumorigenesis, tumor growth, and invasion in vivo. The expression of NeuroD mRNA decreased significantly after RNAi lentivirus transinfecting PANC-1 cell. The cell's migration and invasion ability decreased obviously as soon as down regulate of NeuroD in PANC-1 cells. Comparing with control group, the tumors were smaller in size and the invasiveness was inhibited after 8 weeks intrapancreatic allografts in nude mice. Lenti-EGFP-NeuroD-miR transfected into PANC-1 cells shows a stable, effective, and especial blocking expression of NeuroD in mRNA level. The RNAi of lentiviral vector target NeuroD can reduce the migration and invasion abilities of PANC-1 cells.

Space Flight-Associated Neuro-ocular Syndrome.

Science.gov (United States)

Lee, Andrew G; Mader, Thomas H; Gibson, C Robert; Tarver, William

2017-09-01

New and unique physiologic and pathologic systemic and neuro-ocular responses have been documented in astronauts during and after long-duration space flight. Although the precise cause remains unknown, space flight-associated neuro-ocular syndrome (SANS) has been adopted as an appropriate descriptive term. The Space Medicine Operations Division of the US National Aeronautics and Space Administration (NASA) has documented the variable occurrence of SANS in astronauts returning from long-duration space flight on the International Space Station. These clinical findings have included unilateral and bilateral optic disc edema, globe flattening, choroidal and retinal folds, hyperopic refractive error shifts, and nerve fiber layer infarcts. The clinical findings of SANS have been correlated with structural changes on intraorbital and intracranial magnetic resonance imaging and in-flight and terrestrial ultrasonographic studies and ocular optical coherence tomography. Further study of SANS is ongoing for consideration of future manned missions to space, including a return trip to the moon or Mars.

PET-based molecular nuclear neuro-imaging

International Nuclear Information System (INIS)

Kim, Jong Ho

2004-01-01

Molecular nuclear neuro-imaging in CNS drug discovery and development can be divided into four categories that are clearly inter-related. (1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and CNS fingerprinting the neuroanatomy of drug effects;(4) Functional mapping to examine disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy

PET-based molecular nuclear neuro-imaging

Energy Technology Data Exchange (ETDEWEB)

Kim, Jong Ho [Gil Medical Center, Gachon (Korea, Republic of)

2004-04-01

Molecular nuclear neuro-imaging in CNS drug discovery and development can be divided into four categories that are clearly inter-related. (1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and CNS fingerprinting the neuroanatomy of drug effects;(4) Functional mapping to examine disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy.

NEURO-EPISTEMOLOGY: A POST-MODERNIST ANALYSIS OF ...

African Journals Online (AJOL)

support

ontwikkel die term “neuro-epistemologie” wat die raamwerk vir wetenskaplike studies na die ... In short, this .... This means we run ..... sensory material provided by an external world. .... between short-, intermediate-, and long-term memory.

A novel Neuro-fuzzy classification technique for data mining

Directory of Open Access Journals (Sweden)

Soumadip Ghosh

2014-11-01

Full Text Available In our study, we proposed a novel Neuro-fuzzy classification technique for data mining. The inputs to the Neuro-fuzzy classification system were fuzzified by applying generalized bell-shaped membership function. The proposed method utilized a fuzzification matrix in which the input patterns were associated with a degree of membership to different classes. Based on the value of degree of membership a pattern would be attributed to a specific category or class. We applied our method to ten benchmark data sets from the UCI machine learning repository for classification. Our objective was to analyze the proposed method and, therefore compare its performance with two powerful supervised classification algorithms Radial Basis Function Neural Network (RBFNN and Adaptive Neuro-fuzzy Inference System (ANFIS. We assessed the performance of these classification methods in terms of different performance measures such as accuracy, root-mean-square error, kappa statistic, true positive rate, false positive rate, precision, recall, and f-measure. In every aspect the proposed method proved to be superior to RBFNN and ANFIS algorithms.

Research progress in neuro-immune interactions in Caenorhabditis elegans

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Jin-ling CAI

2012-09-01

Full Text Available The innate immune response may be activated quickly once the organism is invaded by exotic pathogens. An excessive immune response may result in inflammation and tissue damage, whereas an insufficient immune response may result in infection. Nervous system may regulate the intensity of innate immune responses by releasing neurotransmitters, neuropeptides and hormones. Compared with the complicated neuro-immune system in mammals, it is much simpler in Caenorhabditis elegans. Besides, C. elegans is accessible to genetic, molecular biology and behavioral analyses, so it has been used in studies on neuro-immune interactions. It has been revealed recently in the studies with C. elegans that the neuronal pathways regulating innate immune responses primarily include a transforming growth factor-β (TGF-β pathway, an insulin/insulin-like growth factor receptor (IGF pathway and dopaminergic neurotransmission. Since these pathways are evolutionally conservative, so it might be able to provide some new ideas for the research on neuro-immune interactions at molecular levels. The recent progress in this field has been reviewed in present paper.

Linguistica matematica, statistica linguistica e linguistica applicata. Una nota storica sui lessici di frequenza e l'educazione linguistica (Mathematical Linguistics, Linguistic Statistics, and Applied Linguistics. An Historical Note on Word Frequencies and Linguistic Education)

Science.gov (United States)

Elia, Annibale

1977-01-01

This article traces the history of several themes in applied linguistics and to show the relationships between linguistic theory and the sciences concerned with the learning and teaching of languages. Interest in word frequency statistics is discussed in particular. (Text is in Italian.) (CFM)

A Hybrid Neuro-Fuzzy Model For Integrating Large Earth-Science Datasets

Science.gov (United States)

Porwal, A.; Carranza, J.; Hale, M.

2004-12-01

A GIS-based hybrid neuro-fuzzy approach to integration of large earth-science datasets for mineral prospectivity mapping is described. It implements a Takagi-Sugeno type fuzzy inference system in the framework of a four-layered feed-forward adaptive neural network. Each unique combination of the datasets is considered a feature vector whose components are derived by knowledge-based ordinal encoding of the constituent datasets. A subset of feature vectors with a known output target vector (i.e., unique conditions known to be associated with either a mineralized or a barren location) is used for the training of an adaptive neuro-fuzzy inference system. Training involves iterative adjustment of parameters of the adaptive neuro-fuzzy inference system using a hybrid learning procedure for mapping each training vector to its output target vector with minimum sum of squared error. The trained adaptive neuro-fuzzy inference system is used to process all feature vectors. The output for each feature vector is a value that indicates the extent to which a feature vector belongs to the mineralized class or the barren class. These values are used to generate a prospectivity map. The procedure is demonstrated by an application to regional-scale base metal prospectivity mapping in a study area located in the Aravalli metallogenic province (western India). A comparison of the hybrid neuro-fuzzy approach with pure knowledge-driven fuzzy and pure data-driven neural network approaches indicates that the former offers a superior method for integrating large earth-science datasets for predictive spatial mathematical modelling.

Genetic and linguistic coevolution in Northern Island Melanesia.

Science.gov (United States)

Hunley, Keith; Dunn, Michael; Lindström, Eva; Reesink, Ger; Terrill, Angela; Healy, Meghan E; Koki, George; Friedlaender, Françoise R; Friedlaender, Jonathan S

2008-10-01

Recent studies have detailed a remarkable degree of genetic and linguistic diversity in Northern Island Melanesia. Here we utilize that diversity to examine two models of genetic and linguistic coevolution. The first model predicts that genetic and linguistic correspondences formed following population splits and isolation at the time of early range expansions into the region. The second is analogous to the genetic model of isolation by distance, and it predicts that genetic and linguistic correspondences formed through continuing genetic and linguistic exchange between neighboring populations. We tested the predictions of the two models by comparing observed and simulated patterns of genetic variation, genetic and linguistic trees, and matrices of genetic, linguistic, and geographic distances. The data consist of 751 autosomal microsatellites and 108 structural linguistic features collected from 33 Northern Island Melanesian populations. The results of the tests indicate that linguistic and genetic exchange have erased any evidence of a splitting and isolation process that might have occurred early in the settlement history of the region. The correlation patterns are also inconsistent with the predictions of the isolation by distance coevolutionary process in the larger Northern Island Melanesian region, but there is strong evidence for the process in the rugged interior of the largest island in the region (New Britain). There we found some of the strongest recorded correlations between genetic, linguistic, and geographic distances. We also found that, throughout the region, linguistic features have generally been less likely to diffuse across population boundaries than genes. The results from our study, based on exceptionally fine-grained data, show that local genetic and linguistic exchange are likely to obscure evidence of the early history of a region, and that language barriers do not particularly hinder genetic exchange. In contrast, global patterns may

Genetic and linguistic coevolution in Northern Island Melanesia.

Directory of Open Access Journals (Sweden)

Keith Hunley

2008-10-01

Full Text Available Recent studies have detailed a remarkable degree of genetic and linguistic diversity in Northern Island Melanesia. Here we utilize that diversity to examine two models of genetic and linguistic coevolution. The first model predicts that genetic and linguistic correspondences formed following population splits and isolation at the time of early range expansions into the region. The second is analogous to the genetic model of isolation by distance, and it predicts that genetic and linguistic correspondences formed through continuing genetic and linguistic exchange between neighboring populations. We tested the predictions of the two models by comparing observed and simulated patterns of genetic variation, genetic and linguistic trees, and matrices of genetic, linguistic, and geographic distances. The data consist of 751 autosomal microsatellites and 108 structural linguistic features collected from 33 Northern Island Melanesian populations. The results of the tests indicate that linguistic and genetic exchange have erased any evidence of a splitting and isolation process that might have occurred early in the settlement history of the region. The correlation patterns are also inconsistent with the predictions of the isolation by distance coevolutionary process in the larger Northern Island Melanesian region, but there is strong evidence for the process in the rugged interior of the largest island in the region (New Britain. There we found some of the strongest recorded correlations between genetic, linguistic, and geographic distances. We also found that, throughout the region, linguistic features have generally been less likely to diffuse across population boundaries than genes. The results from our study, based on exceptionally fine-grained data, show that local genetic and linguistic exchange are likely to obscure evidence of the early history of a region, and that language barriers do not particularly hinder genetic exchange. In contrast

Literacy in Somali: Linguistic Consequences.

Science.gov (United States)

Biber, Douglas; Hared, Mohamed

1991-01-01

Linguistic consequences of literacy in Somalia are examined in a review of the literature and through a study of five dimensions of variation among Somali registers and the expansion of linguistic variation in Somali resulting from the introduction of written registers. (36 references) (LB)

Functional categories in comparative linguistics

DEFF Research Database (Denmark)

Rijkhoff, Jan

, Roger M. 1979. Linguistic knowledge and cultural knowledge: some doubts and speculation. American Anthropologist 81-1, 14-36. Levinson, Stephen C. 1997. From outer to inner space: linguistic categories and non-linguistic thinking. In J. Nuyts and E. Pederson (eds.), Language and Conceptualization, 13......). Furthermore certain ‘ontological categories’ are language-specific (Malt 1995). For example, speakers of Kalam (New Guinea) do not classify the cassowary as a bird, because they believe it has a mythical kinship relation with humans (Bulmer 1967).       In this talk I will discuss the role of functional...

Optimization Research of Generation Investment Based on Linear Programming Model

Science.gov (United States)

Wu, Juan; Ge, Xueqian

Linear programming is an important branch of operational research and it is a mathematical method to assist the people to carry out scientific management. GAMS is an advanced simulation and optimization modeling language and it will combine a large number of complex mathematical programming, such as linear programming LP, nonlinear programming NLP, MIP and other mixed-integer programming with the system simulation. In this paper, based on the linear programming model, the optimized investment decision-making of generation is simulated and analyzed. At last, the optimal installed capacity of power plants and the final total cost are got, which provides the rational decision-making basis for optimized investments.

Working Effectively with People: Contributions of Neurolinguistic Programming (NLP) to Visual Literacy.

Science.gov (United States)

Ragan, Janet M.; Ragan, Tillman J.

1982-01-01

Briefly summarizes history of neurolinguistic programing, which set out to model elements and processes of effective communication and to reduce these to formulas that can be taught to others. Potential areas of inquiry for neurolinguistic programers which should be of concern to visual literacists are discussed. (MBR)

"Too Withdrawn" or "Too Friendly": Considering Social Vulnerability in Two Neuro-Developmental Disorders

Science.gov (United States)

Jawaid, A.; Riby, D. M.; Owens, J.; White, S. W.; Tarar, T.; Schulz, P. E.

2012-01-01

In some neuro-developmental disorders, the combined effect of intellectual disability and atypicalities of social cognition may put individuals at increased vulnerability in their social environment. The neuro-developmental disorders Williams syndrome, characterised by "hypersociability", and autism spectrum disorders, characterised by "social…

Spacecraft attitude control using neuro-fuzzy approximation of the optimal controllers

Science.gov (United States)

Kim, Sung-Woo; Park, Sang-Young; Park, Chandeok

2016-01-01

In this study, a neuro-fuzzy controller (NFC) was developed for spacecraft attitude control to mitigate large computational load of the state-dependent Riccati equation (SDRE) controller. The NFC was developed by training a neuro-fuzzy network to approximate the SDRE controller. The stability of the NFC was numerically verified using a Lyapunov-based method, and the performance of the controller was analyzed in terms of approximation ability, steady-state error, cost, and execution time. The simulations and test results indicate that the developed NFC efficiently approximates the SDRE controller, with asymptotic stability in a bounded region of angular velocity encompassing the operational range of rapid-attitude maneuvers. In addition, it was shown that an approximated optimal feedback controller can be designed successfully through neuro-fuzzy approximation of the optimal open-loop controller.

NLP model based thermoeconomic optimization of vapor compression–absorption cascaded refrigeration system

International Nuclear Information System (INIS)

Jain, Vaibhav; Sachdeva, Gulshan; Kachhwaha, S.S.

2015-01-01

Highlights: • It addresses the size and cost estimation of cascaded refrigeration system. • Cascaded system is a promising decarburizing and energy efficient technology. • Second law analysis is carried out with modified Gouy-Stodola equation. • The total annual cost of plant operation is optimized in present work. - Abstract: This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and capital recovery factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period

NEURO ENGINEERING TECHNOLOGY TO ACCELERATE THE HUMAN ADAPTATION TO HIGH ALTITUDE HYPOXIA

Directory of Open Access Journals (Sweden)

Mukhamed T. Shaov

2018-01-01

Full Text Available Abstract. The aim is to study the influence of neuro-information signals modulated by pulse hypoxia on the rhythm of cardiac contractions in low-mountain and high-mountain conditions. Methods. Heart rate was measured using the pulse oxymetry device ELOX-01M2. The impact analysis of information-wave signals was carried out with the help of the neuro-protector "Anthropotherapist", non-invasively (remotely at a distance of up to 5 meters for 5 min. /day during 10 days. The investigations were carried out in lowmountain conditions (city of Nalchik, 550 m above sea level and highlands, Mount Elbrus (site of "Garabashi", 3780 m. above sea level. Participants in the study were divided into groups: control group – 18 participants; experimental group - 18 participants. In the low-mountain and high-mountain conditions, the control group was not affected by the neuro-protector. In high-mountain conditions, the participants in the control group experienced only the effects of high-altitude hypoxia sessions. The experimental group was exposed to the neuro-information signals from the neuro-protector. High-altitude studies were carried out in the following mode: heart rate was recorded at the altitudes of Nalchik - exit to Elbrus – on the way to the site of "Garabashi" - return route to Nalchik. Results. It was found that with frequency exposure, there is a significant decrease and fluctuations in heart rate in low-mountain inhabitants. The stability of these changes in the rhythm of cardiac activity can also be seen in conditions of high-altitude hypoxia. Conclusion. Consequently, the proposed mode of frequency impact, implemented using the "Anthropotherapist" neuro-protector technology, can form a stage of adaptation to hypoxia and unfavorable climatic and environmental factors.

Machine Learning and Applied Linguistics

OpenAIRE

Vajjala, Sowmya

2018-01-01

This entry introduces the topic of machine learning and provides an overview of its relevance for applied linguistics and language learning. The discussion will focus on giving an introduction to the methods and applications of machine learning in applied linguistics, and will provide references for further study.

Ontological problems of contemporary linguistics

Directory of Open Access Journals (Sweden)

А В Бондаренко

2009-03-01

Full Text Available The article studies linguistic ontology problems such as evolution of essential-existential views of language, interrelation within Being-Language-Man triad, linguistics gnosiological principles, language essence localization, and «expression» as language metalinguistic unit as well as architectonics of language personality et alia.

Concise Lexicon for Sign Linguistics

NARCIS (Netherlands)

dr. Jan Nijen Twilhaar; Dr. Beppie van den Bogaerde

2016-01-01

This extensive, well-researched and clearly formatted lexicon of a wide variety of linguistic terms is a long overdue. It is an extremely welcome addition to the bookshelves of sign language teachers, interpreters, linguists, learners and other sign language users, and of course of the Deaf

Heritage language and linguistic theory

Science.gov (United States)

Scontras, Gregory; Fuchs, Zuzanna; Polinsky, Maria

2015-01-01

This paper discusses a common reality in many cases of multilingualism: heritage speakers, or unbalanced bilinguals, simultaneous or sequential, who shifted early in childhood from one language (their heritage language) to their dominant language (the language of their speech community). To demonstrate the relevance of heritage linguistics to the study of linguistic competence more broadly defined, we present a series of case studies on heritage linguistics, documenting some of the deficits and abilities typical of heritage speakers, together with the broader theoretical questions they inform. We consider the reorganization of morphosyntactic feature systems, the reanalysis of atypical argument structure, the attrition of the syntax of relativization, and the simplification of scope interpretations; these phenomena implicate diverging trajectories and outcomes in the development of heritage speakers. The case studies also have practical and methodological implications for the study of multilingualism. We conclude by discussing more general concepts central to linguistic inquiry, in particular, complexity and native speaker competence. PMID:26500595

Sturge-Weber syndrome. The current neuro-imaging data

International Nuclear Information System (INIS)

Boukobza, M.; Cambra, M.R.; Merland, J.J.; Enjolras, O.

2000-01-01

Sturge-Weber syndrome (SWS) is a rare congenital sporadic disease with neuro-ocular and cutaneous vascular findings. Clinically, the full-blown condition consists of a facial port-wine stain (PWS) the V1 facial trigeminal skin area, alone or in combination with V2 and V3 PWS, seizures and ocular abnormalities (glaucoma and choroidal angioma). Radiologically, a leptomeningeal (pial) capillary and venous malformation, mostly located in the parieto-occipital area, cerebral atrophy and calcifications are demonstrated. An ipsilateral enlarged choroid plexus may be an early anatomic symptom. Development neuro-diagnostic technique for the screening of infants with an at-risk V1 PWS, as well as for the follow-up of patients with evidence SWS. Accelerated myelination in the involved hemisphere may be early diagnostic feature before 6 months of age. Later, hyperintensity of white matter on T2 is considered a symptom of gliosis. Clinically, progression of the diseases is associated with anatomic changes and correlates with the extent of the pial vascular anomaly, extent and severity of cerebral atrophy, and white matter abnormalities. A neonatal neuro-imaging work-up, using CT or MRI, may not demonstrate the pial anomaly and should be repeated after 6 to 12 months in an at-risk infant with V1 PWS. (authors)

The endocannabinoid anandamide regulates the peristaltic reflex by reducing neuro-neuronal and neuro-muscular neurotransmission in ascending myenteric reflex pathways in rats.

Science.gov (United States)

Sibaev, Andrei; Yuece, Birol; Allescher, Hans Dieter; Saur, Dieter; Storr, Martin; Kurjak, Manfred

2014-04-01

Endocannabinoids (EC) and the cannabinoid-1 (CB1) receptor are involved in the regulation of motility in the gastrointestinal (GI) tract. However, the underlying physiological mechanisms are not completely resolved. The purpose of this work was to study the physiological influence of the endocannabinoid anandamide, the putative endogenous CB1 active cannabinoid, and of the CB1 receptor on ascending peristaltic activity and to identify the involved neuro-neuronal, neuro-muscular and electrophysiological mechanisms. The effects of anandamide and the CB1 receptor antagonist SR141716A were investigated on contractions of the circular smooth muscle of rat ileum and in longitudinal rat ileum segments where the ascending myenteric part of the peristaltic reflex was studied in a newly designed organ bath. Additionally intracellular recordings were performed in ileum and colon. Anandamide significantly reduced cholinergic twitch contractions of ileum smooth muscle whereas SR141716A caused an increase. Anandamide reduced the ascending peristaltic contraction by affecting neuro-neuronal and neuro-muscular neurotransmission. SR141716A showed opposite effects and all anandamide effects were antagonized by SR141716A (1 μM). Anandamide reduced excitatory junction potentials (EJP) and inhibitory junction potentials (IJP), whereas intestinal slow waves were not affected. CB1 receptors regulate force and timing of the intestinal peristaltic reflex and these actions involve interneurons and motor-neurons. The endogenous cannabinoid anandamide mediates these effects by activation of CB1 receptors. The endogenous cannabinoid system is permanently active, suggesting the CB1 receptor being a possible target for the treatment of motility related disorders. Copyright © 2014 Institute of Pharmacology, Polish Academy of Sciences. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

A new learning algorithm for a fully connected neuro-fuzzy inference system.

Science.gov (United States)

Chen, C L Philip; Wang, Jing; Wang, Chi-Hsu; Chen, Long

2014-10-01

A traditional neuro-fuzzy system is transformed into an equivalent fully connected three layer neural network (NN), namely, the fully connected neuro-fuzzy inference systems (F-CONFIS). The F-CONFIS differs from traditional NNs by its dependent and repeated weights between input and hidden layers and can be considered as the variation of a kind of multilayer NN. Therefore, an efficient learning algorithm for the F-CONFIS to cope these repeated weights is derived. Furthermore, a dynamic learning rate is proposed for neuro-fuzzy systems via F-CONFIS where both premise (hidden) and consequent portions are considered. Several simulation results indicate that the proposed approach achieves much better accuracy and fast convergence.

Neuro fuzzy control of the FES assisted freely swinging leg of paraplegic subjects

NARCIS (Netherlands)

van der Spek, J.H.; Velthuis, W.J.R.; Veltink, Petrus H.; de Vries, Theodorus J.A.

1996-01-01

The authors designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three `swing phase objectives', characteristic of natural human gait. The neuro fuzzy controller is a combination of a fuzzy logic controller

Adaptive neuro-fuzzy control of ionic polymer metal composite actuators

International Nuclear Information System (INIS)

Thinh, Nguyen Truong; Yang, Young-Soo; Oh, Il-Kwon

2009-01-01

An adaptive neuro-fuzzy controller was newly designed to overcome the degradation of the actuation performance of ionic polymer metal composite actuators that show highly nonlinear responses such as a straightening-back problem under a step excitation. An adaptive control algorithm with the merits of fuzzy logic and neural networks was applied for controlling the tip displacement of the ionic polymer metal composite actuators. The reference and actual displacements and the change of the error with the electrical inputs were recorded to generate the training data. These data were used for training the adaptive neuro-fuzzy controller to find the membership functions in the fuzzy control algorithm. Software simulation and real-time experiments were conducted by using the Simulink and dSPACE environments. Present results show that the current adaptive neuro-fuzzy controller can be successfully applied to the reliable control of the ionic polymer metal composite actuator for which the performance degrades under long-time actuation

The Extension of Quality Function Deployment Based on 2-Tuple Linguistic Representation Model for Product Design under Multigranularity Linguistic Environment

Directory of Open Access Journals (Sweden)

Ming Li

2012-01-01

Full Text Available Quality function deployment (QFD is a customer-driven approach for product design and development. A QFD analysis process includes a series of subprocesses, such as determination of the importance of customer requirements (CRs, the correlation among engineering characteristics (ECs, and the relationship between CRs and ECs. Usually more than group of one decision makers are involved in the subprocesses to make the decision. In most decision making problems, they often provide their evaluation information in the linguistic form. Moreover, because of different knowledge, background, and discrimination ability, decision makers may express their linguistic preferences in multigranularity linguistic information. Therefore, an effective approach to deal with the multi-granularity linguistic information in QFD analysis process is highly needed. In this study, the QFD methodology is extended with 2-tuple linguistic representation model under multi-granularity linguistic environment. The extended QFD methodology can cope with multi-granularity linguistic evaluation information and avoid the loss of information. The applicability of the proposed approach is demonstrated with a numerical example.

New Conceptualizations of Linguistic Giftedness

Science.gov (United States)

Biedron, Adriana; Pawlak, Miroslaw

2016-01-01

This state-of-the art paper focuses on the issue of linguistic giftedness, somewhat neglected in the second language acquisition (SLA) literature, attempting to reconceptualize, expand and update this concept in response to latest developments in the fields of psychology, linguistics and neurology. It first discusses contemporary perspectives on…

Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection

Science.gov (United States)

Lin, Hui; Wang, Zhou-Jing

2017-01-01

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evaluation values are provided as linguistic terms and the attribute weight information is incomplete. In order to obtain a group risk preference captured by a linguistic term set with triangular fuzzy semantic information, a nonlinear programming model is established on the basis of individual risk preferences. We first convert individual linguistic-term-based decision matrices to their respective triangular fuzzy decision matrices, which are then aggregated into a group triangular fuzzy decision matrix. Based on this group decision matrix and the incomplete attribute weight information, a linear program is developed to find an optimal attribute weight vector. A detailed procedure is devised for tackling linguistic multi-attribute group decision making problems. A low-carbon tourism destination selection case study is offered to illustrate how to use the developed group decision-making model in practice. PMID:28926985

Linguistic Multi-Attribute Group Decision Making with Risk Preferences and Its Use in Low-Carbon Tourism Destination Selection.

Science.gov (United States)

Lin, Hui; Wang, Zhou-Jing

2017-09-17

Low-carbon tourism plays an important role in carbon emission reduction and environmental protection. Low-carbon tourism destination selection often involves multiple conflicting and incommensurate attributes or criteria and can be modelled as a multi-attribute decision-making problem. This paper develops a framework to solve multi-attribute group decision-making problems, where attribute evaluation values are provided as linguistic terms and the attribute weight information is incomplete. In order to obtain a group risk preference captured by a linguistic term set with triangular fuzzy semantic information, a nonlinear programming model is established on the basis of individual risk preferences. We first convert individual linguistic-term-based decision matrices to their respective triangular fuzzy decision matrices, which are then aggregated into a group triangular fuzzy decision matrix. Based on this group decision matrix and the incomplete attribute weight information, a linear program is developed to find an optimal attribute weight vector. A detailed procedure is devised for tackling linguistic multi-attribute group decision making problems. A low-carbon tourism destination selection case study is offered to illustrate how to use the developed group decision-making model in practice.

Critical and Alternative Directions in Applied Linguistics

Science.gov (United States)

Pennycook, Alastair

2010-01-01

Critical directions in applied linguistics can be understood in various ways. The term "critical" as it has been used in "critical applied linguistics," "critical discourse analysis," "critical literacy" and so forth, is now embedded as part of applied linguistic work, adding an overt focus on questions of power and inequality to discourse…

A wearable neuro-feedback system with EEG-based mental status monitoring and transcranial electrical stimulation.

Science.gov (United States)

Roh, Taehwan; Song, Kiseok; Cho, Hyunwoo; Shin, Dongjoo; Yoo, Hoi-Jun

2014-12-01

A wearable neuro-feedback system is proposed with a low-power neuro-feedback SoC (NFS), which supports mental status monitoring with encephalography (EEG) and transcranial electrical stimulation (tES) for neuro-modulation. Self-configured independent component analysis (ICA) is implemented to accelerate source separation at low power. Moreover, an embedded support vector machine (SVM) enables online source classification, configuring the ICA accelerator adaptively depending on the types of the decomposed components. Owing to the hardwired accelerating functions, the NFS dissipates only 4.45 mW to yield 16 independent components. For non-invasive neuro-modulation, tES stimulation up to 2 mA is implemented on the SoC. The NFS is fabricated in 130-nm CMOS technology.

Virtual reality exposure and neuro-bio feedback to help coping with traumatic events

NARCIS (Netherlands)

Neerincx, M.A.; Kallen, V.L.; Brouwer, A.-M.; Leer, L. van der; Brinke, M. ten

2010-01-01

Recent research shows that Virtual Reality (VR) exposure or bio-neuro feedback can help professionals to cope with possibly traumatic events. This paper presents a neuro-bio VR system that combines both methods in order to further improve the prevention and therapy of trauma-related disorders. This

On Redundancy in Describing Linguistic Systems

Directory of Open Access Journals (Sweden)

Vladimir Borissov Pericliev

2015-12-01

Full Text Available On Redundancy in Describing Linguistic Systems The notion of system of linguistic elements figures prominently in most post-Saussurian linguistics up to the present. A “system” is the network of the contrastive (or, distinctive features each element in the system bears to the remaining elements. The meaning (valeur of each element in the system is the set of features that are necessary and jointly sufficient to distinguish this element from all others. The paper addresses the problems of “redundancy”, i.e. the occurrence of features that are not strictly necessary in describing an element in a system. Redundancy is shown to smuggle into the description of linguistic systems, this infelicitous practice illustrated with some examples from the literature (e.g. the classical phonemic analysis of Russian by Cherry, Halle, and Jakobson, 1953. The logic and psychology of the occurrence of redundancy are briefly sketched and it is shown that, in addition to some other problems, redundancy leads to a huge and unresolvable ambiguity of descriptions of linguistic systems (the Buridan’s ass problem.

New concept of direct torque neuro-fuzzy control for induction motor drives. Simulation study

Energy Technology Data Exchange (ETDEWEB)

Grabowski, P.Z. [Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw (Poland)

1997-12-31

This paper presents a new control strategy in the discrete Direct Torque Control (DTC) based on neuro-fuzzy structure. Two schemes are proposed: neuro-fuzzy switching times calculator and neuro-fuzzy incremental controller with space vector modulator. These control strategies guarantee very good dynamic and steady-states characteristics, with very low sampling time and constant switching frequency. The proposed techniques are verified by simulation study of the whole drive system and results are compared with conventional discrete Direct Torque Control method. (orig.) 18 refs.

Immunotherapy Response Assessment in Neuro-Oncology (iRANO): A Report of the RANO Working Group

Science.gov (United States)

Okada, Hideho; Weller, Michael; Huang, Raymond; Finocchiaro, Gaetano; Gilbert, Mark R.; Wick, Wolfgang; Ellingson, Benjamin M.; Hashimoto, Naoya; Pollack, Ian F.; Brandes, Alba A.; Franceschi, Enrico; Herold-Mende, Christel; Nayak, Lakshmi; Panigrahy, Ashok; Pope, Whitney B.; Prins, Robert; Sampson, John H.; Wen, Patrick Y.; Reardon, David A.

2015-01-01

Immunotherapy represents a promising area of therapy among neuro-oncology patients. However, early phase studies reveal unique challenges associated with assessment of radiological changes reflecting delayed responses or therapy-induced inflammation. Clinical benefit, including long-term survival and tumor regression, can still occur following initial apparent progression or appearance of new lesions. Refinement of response assessment criteria for neuro-oncology patients undergoing immunotherapy is therefore warranted. A multinational and multidisciplinary panel of neuro-oncology immunotherapy experts describes immunotherapy response assessment for neuro-oncology (iRANO) criteria that are based on guidance for determination of tumor progression outlined by the immune-related response criteria (irRC) and the response assessment in neuro-oncology (RANO) working group. Among patients who demonstrate imaging findings meeting RANO criteria for progressive disease (PD) within six months of initiating immunotherapy including the development of new lesions, confirmation of radiographic progression on follow-up imaging is recommended provided that the patient is not significantly worse clinically. The proposed criteria also include guidelines for use of corticosteroids. The role of advanced imaging techniques and measurement of clinical benefit endpoints including neurologic and immunologic functions are reviewed. The iRANO guidelines put forth herein will evolve successively to improve their utility as further experience from immunotherapy trials in neuro-oncology accumulate. PMID:26545842

Linguistic Theory and Actual Language.

Science.gov (United States)

Segerdahl, Par

1995-01-01

Examines Noam Chomsky's (1957) discussion of "grammaticalness" and the role of linguistics in the "correct" way of speaking and writing. It is argued that the concern of linguistics with the tools of grammar has resulted in confusion, with the tools becoming mixed up with the actual language, thereby becoming the central…

The Perilous Life of a Linguistic Genre Convention

DEFF Research Database (Denmark)

Borchmann, Simon

2014-01-01

, the descriptions are more informative than the structures hitherto described by text linguistics. Secondly, as historical norms, they are a testimony to the development and change of language use. Thirdly, the descriptions contribute to language users’ awareness of the origin of standards, their understanding......The primary, theoretical aim of the article is to present a linguistic text analysis that differs from standard text linguistic approaches by being informative with regard to the linguistic choices and textual organisation that characterise a text as a social act. The analysis is exemplified...... by using texts of a relatively new Danish journalistic genre nyhedsanalyse (news analysis). The secondary, empirical aim of the article is to present a corpus-based, linguistic analysis of central elements of the genre nyhedsanalyse within the Danish system of newspaper genres. Text linguistics is based...

Language Works. Linguistic Journal

DEFF Research Database (Denmark)

Hartling, Anna Sofie; Nørreby, Thomas Rørbeck; Skovse, Astrid Ravn

2016-01-01

Language works! – and with this initiative and this journal we want to give the opportunity to many more students to present their linguistic research to each other, to the scientific community and to all interested.......Language works! – and with this initiative and this journal we want to give the opportunity to many more students to present their linguistic research to each other, to the scientific community and to all interested....

A Neuro-Fuzzy Approach in the Classification of Students’ Academic Performance

Directory of Open Access Journals (Sweden)

Quang Hung Do

2013-01-01

Full Text Available Classifying the student academic performance with high accuracy facilitates admission decisions and enhances educational services at educational institutions. The purpose of this paper is to present a neuro-fuzzy approach for classifying students into different groups. The neuro-fuzzy classifier used previous exam results and other related factors as input variables and labeled students based on their expected academic performance. The results showed that the proposed approach achieved a high accuracy. The results were also compared with those obtained from other well-known classification approaches, including support vector machine, Naive Bayes, neural network, and decision tree approaches. The comparative analysis indicated that the neuro-fuzzy approach performed better than the others. It is expected that this work may be used to support student admission procedures and to strengthen the services of educational institutions.

Cognitive requirements of competing neuro-behavioral decision systems: some implications of temporal horizon for managerial behavior in organizations.

Science.gov (United States)

Foxall, Gordon R

2014-01-01

Interpretation of managerial activity in terms of neuroscience is typically concerned with extreme behaviors such as corporate fraud or reckless investment (Peterson, 2007; Wargo et al., 2010a). This paper is concerned to map out the neurophysiological and cognitive mechanisms at work across the spectrum of managerial behaviors encountered in more day-to-day contexts. It proposes that the competing neuro-behavioral decisions systems (CNBDS) hypothesis (Bickel et al., 2012b) captures well the range of managerial behaviors that can be characterized as hyper- or hypo-activity in either the limbically-based impulsive system or the frontal-cortically based executive system with the corresponding level of activity encountered in the alternative brain region. This pattern of neurophysiological responding also features in the Somatic Marker Hypothesis (Damasio, 1994) and in Reinforcement Sensitivity Theory (RST; Gray and McNaughton, 2000; McNaughton and Corr, 2004), which usefully extend the thesis, for example in the direction of personality. In discussing these theories, the paper has three purposes: to clarify the role of cognitive explanation in neuro-behavioral decision theory, to propose picoeconomics (Ainslie, 1992) as the cognitive component of competing neuro-behavioral decision systems theory and to suggest solutions to the problems of imbalanced neurophysiological activity in managerial behavior. The first is accomplished through discussion of the role of picoeconomics in neuro-behavioral decision theory; the second, by consideration of adaptive-innovative cognitive styles (Kirton, 2003) in the construction of managerial teams, a theme that can now be investigated by a dedicated research program that incorporates psychometric analysis of personality types and cognitive styles involved in managerial decision-making and the underlying neurophysiological bases of such decision-making.

Cognitive requirements of competing neuro-behavioral decision systems: Some implications of temporal horizon for managerial behavior in organizations

Directory of Open Access Journals (Sweden)

Gordon Robert Foxall

2014-04-01

Full Text Available Interpretation of managerial activity in terms of neuroscience is typically concerned with extreme behaviors such as corporate fraud or reckless investment (Wargo, Baglini & Nelson, 2010a; Peterson, 2007. This paper is concerned to map out the neurophysiological and cognitive mechanisms at work across the spectrum of managerial behaviors encountered in more day-to-day contexts. It proposes that the competing neuro-behavioral decisions systems (CNBDS hypothesis (Bickel, Mueller & Jarmolowicz, 2012 captures well the range of managerial behaviors that can be characterized as hyper- or hypo-activity in either the limbically-based impulsive system or the frontal-cortically based executive system with the corresponding level of activity encountered in the alternative brain region. This pattern of neurophysiological responding also features in the Somatic Marker Hypothesis (Damasio, 1994 and in Reinforcement Sensitivity Theory (Gray & McNaughton, 2000; McNaughton & Corr, 2004, which usefully extend the thesis, for example in the direction of personality. In discussing these theories, the paper has three purposes: to clarify the role of cognitive explanation in neuro-behavioral decision theory, to propose picoeconomics (Ainslie, 1992 as the cognitive component of competing neuro-behavioral decision systems theory and to suggest solutions to the problems of imbalanced neurophysiological activity in managerial behaviour. The first is accomplished through discussion of the role of picoeconomics in neuro-behavioral decision theory; the second, by consideration of adaptive-innovative cognitive styles (Kirton, 2003 in the construction of managerial teams, a theme that can now be investigated by a dedicated research program that incorporates psychometric analysis of personality types and cognitive styles involved in managerial decision-making and the underlying neurophysiological bases of such decision-making.

NeuroVR: an open source virtual reality platform for clinical psychology and behavioral neurosciences.

Science.gov (United States)

Riva, Giuseppe; Gaggioli, Andrea; Villani, Daniela; Preziosa, Alessandra; Morganti, Francesca; Corsi, Riccardo; Faletti, Gianluca; Vezzadini, Luca

2007-01-01

In the past decade, the use of virtual reality for clinical and research applications has become more widespread. However, the diffusion of this approach is still limited by three main issues: poor usability, lack of technical expertise among clinical professionals, and high costs. To address these challenges, we introduce NeuroVR (http://www.neurovr.org--http://www.neurotiv.org), a cost-free virtual reality platform based on open-source software, that allows non-expert users to adapt the content of a pre-designed virtual environment to meet the specific needs of the clinical or experimental setting. Using the NeuroVR Editor, the user can choose the appropriate psychological stimuli/stressors from a database of objects (both 2D and 3D) and videos, and easily place them into the virtual environment. The edited scene can then be visualized in the NeuroVR Player using either immersive or non-immersive displays. Currently, the NeuroVR library includes different virtual scenes (apartment, office, square, supermarket, park, classroom, etc.), covering two of the most studied clinical applications of VR: specific phobias and eating disorders. The NeuroVR Editor is based on Blender (http://www.blender.org), the open source, cross-platform suite of tools for 3D creation, and is available as a completely free resource. An interesting feature of the NeuroVR Editor is the possibility to add new objects to the database. This feature allows the therapist to enhance the patient's feeling of familiarity and intimacy with the virtual scene, i.e., by using photos or movies of objects/people that are part of the patient's daily life, thereby improving the efficacy of the exposure. The NeuroVR platform runs on standard personal computers with Microsoft Windows; the only requirement for the hardware is related to the graphics card, which must support OpenGL.

Angiographic assessment of atherosclerotic load at the lower extremity in patients with diabetic foot and charcot neuro-arthropathy.

Science.gov (United States)

Çildağ, Mehmet B; Ertuğrul, Bülent M; Köseoğlu, Ömer Fk; Çildağ, Songül; Armstrong, David G

2018-06-01

The aim of this study was to investigate atherosclerotic load at the lower extremity in patients with diabetic foot and charcot neuro-arthropathy and compare them with patients with diabetic foot without charcot neuro-arthropathy. This retrospective study consists of 78 patients with diabetic foot who had lower extremity angiography with antegrade approach. All patients were classified into two groups; neuro ischemic wounds with charcot neuro-arthropathy (30/78) and without charcot neuro-arthropathy (48/78).Atherosclerotic load at the side of diabetic foot was determined by using the Bollinger angiogram scoring method. Comparison of atherosclerotic load between the two groups was performed. The mean of total and infrapopliteal level angiogram scoring of all patients was 33.3 (standard deviation, sd:±17.2) and 29.3 (sd:±15.6), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds with charcot neuro-arthropathy group was 18.1 (sd:±11.6) and 15.7 (sd:±10.4), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds without charcot neuro-arthropathy group was 42.8 (sd:±12.7) and 37.7 (sd:±12.0), respectively. There was a statistically significant difference between the two groups of mean total and infrapopliteal angiogram scoring (p diabetic foot and chronic charcot neuro-arthropathy is significantly less than in patients with neuroischemic diabetic foot wounds without chronic charcot neuro-arthropathy. Copyright © 2017. Published by Elsevier Taiwan LLC.

Design and implementation of an adaptive critic-based neuro-fuzzy controller on an unmanned bicycle

OpenAIRE

Shafiekhani, Ali; Mahjoob, Mohammad J.; Akraminia, Mehdi

2017-01-01

Fuzzy critic-based learning forms a reinforcement learning method based on dynamic programming. In this paper, an adaptive critic-based neuro-fuzzy system is presented for an unmanned bicycle. The only information available for the critic agent is the system feedback which is interpreted as the last action performed by the controller in the previous state. The signal produced by the critic agent is used along with the error back propagation to tune (online) conclusion parts of the fuzzy infer...

Collective Variables in Apphed Linguistics Research

OpenAIRE

ヘンスリー, ジョール; HENSLEY, Joel

2011-01-01

This paper focuses on the key dynamic(al)systems theory concept of collective variables as it relates to developmental research in applied linguistics. Dynamic(al) systems theory is becoming prevalent in linguistic research and in the past two decades has jumped to the forefront of cutting edge in the field. One key concept in dynamic(al) systems theory is that of collective variables. In order to help properly orient this concept in the field of applied linguistics, this paper discusses the ...

Linguistics and the TEFL Teacher.

Science.gov (United States)

Fraser, Bruce

This paper asserts the "unquestionable" relevance of linguistic insights in the training of and subsequent use by teachers of English as a foreign language. Although the author agrees with Chomsky's view that linguistics has nothing to offer the teacher in the form of specific proposals for language teaching methodology, he argues that linguistics…

Functional Neuro-Imaging and Post-Traumatic Olfactory Impairment

Science.gov (United States)

Roberts, Richard J.; Sheehan, William; Thurber, Steven; Roberts, Mary Ann

2010-01-01

Objective: To evaluate via a research literature survey the anterior neurological significance of decreased olfactory functioning following traumatic brain injuries. Materials and Methods: A computer literature review was performed to locate all functional neuro-imaging studies on patients with post-traumatic anosmia and other olfactory deficits. Results: A convergence of findings from nine functional neuro-imaging studies indicating evidence for reduced metabolic activity at rest or relative hypo-perfusion during olfactory activations. Hypo-activation of the prefrontal regions was apparent in all nine post-traumatic samples, with three samples yielding evidence of reduced activity in the temporal regions as well. Conclusions: The practical ramifications include the reasonable hypothesis that a total anosmic head trauma patient likely has frontal lobe involvement. PMID:21716782

In-stream attenuation of neuro-active pharmaceuticals and their metabolites

Science.gov (United States)

Writer, Jeffrey; Antweiler, Ronald C.; Ferrar, Imma; Ryan, Joseph N.; Thurman, Michael

2013-01-01

In-stream attenuation was determined for 14 neuro-active pharmaceuticals and associated metabolites. Lagrangian sampling, which follows a parcel of water as it moves downstream, was used to link hydrological and chemical transformation processes. Wastewater loading of neuro-active compounds varied considerably over a span of several hours, and thus a sampling regime was used to verify that the Lagrangian parcel was being sampled and a mechanism was developed to correct measured concentrations if it was not. In-stream attenuation over the 5.4-km evaluated reach could be modeled as pseudo-first-order decay for 11 of the 14 evaluated neuro-active pharmaceutical compounds, illustrating the capacity of streams to reduce conveyance of neuro-active compounds downstream. Fluoxetine and N-desmethyl citalopram were the most rapidly attenuated compounds (t1/2 = 3.6 ± 0.3 h, 4.0 ± 0.2 h, respectively). Lamotrigine, 10,11,-dihydro-10,11,-dihydroxy-carbamazepine, and carbamazepine were the most persistent (t1/2 = 12 ± 2.0 h, 12 ± 2.6 h, 21 ± 4.5 h, respectively). Parent compounds (e.g., buproprion, carbamazepine, lamotrigine) generally were more persistent relative to their metabolites. Several compounds (citalopram, venlafaxine, O-desmethyl-venlafaxine) were not attenuated. It was postulated that the primary mechanism of removal for these compounds was interaction with bed sediments and stream biofilms, based on measured concentrations in stream biofilms and a column experiment using stream sediments.

BioNLP Shared Task--The Bacteria Track.

Science.gov (United States)

Bossy, Robert; Jourde, Julien; Manine, Alain-Pierre; Veber, Philippe; Alphonse, Erick; van de Guchte, Maarten; Bessières, Philippe; Nédellec, Claire

2012-06-26

We present the BioNLP 2011 Shared Task Bacteria Track, the first Information Extraction challenge entirely dedicated to bacteria. It includes three tasks that cover different levels of biological knowledge. The Bacteria Gene Renaming supporting task is aimed at extracting gene renaming and gene name synonymy in PubMed abstracts. The Bacteria Gene Interaction is a gene/protein interaction extraction task from individual sentences. The interactions have been categorized into ten different sub-types, thus giving a detailed account of genetic regulations at the molecular level. Finally, the Bacteria Biotopes task focuses on the localization and environment of bacteria mentioned in textbook articles. We describe the process of creation for the three corpora, including document acquisition and manual annotation, as well as the metrics used to evaluate the participants' submissions. Three teams submitted to the Bacteria Gene Renaming task; the best team achieved an F-score of 87%. For the Bacteria Gene Interaction task, the only participant's score had reached a global F-score of 77%, although the system efficiency varies significantly from one sub-type to another. Three teams submitted to the Bacteria Biotopes task with very different approaches; the best team achieved an F-score of 45%. However, the detailed study of the participating systems efficiency reveals the strengths and weaknesses of each participating system. The three tasks of the Bacteria Track offer participants a chance to address a wide range of issues in Information Extraction, including entity recognition, semantic typing and coreference resolution. We found common trends in the most efficient systems: the systematic use of syntactic dependencies and machine learning. Nevertheless, the originality of the Bacteria Biotopes task encouraged the use of interesting novel methods and techniques, such as term compositionality, scopes wider than the sentence.

Synthesis of novel ligands for neuro-inflammation imaging using Positron Emission Tomography

International Nuclear Information System (INIS)

Cacheux, Fanny

2016-01-01

Neuro-inflammation plays an important role in many neuro-degenerative diseases (Alzheimer, Parkinson, Multiple sclerosis..) and recent developments in molecular imaging provide today new insights into the diagnostic and the treatment management of these diseases. Among the existing imaging techniques, the highly sensitive and quantitative nuclear modalities SPECT (single photon emission computed tomography) but especially PET (positron emission tomography) play key roles. My PhD program is devoted to the design and synthesis of novel radioligands, all dedicated to the imaging of specific targets and processes linked to neuro-inflammation. For this, PET and the short-lived positron-emitter fluorine-18 (T 1/2 : 109.8 min) remain the main focuses. The project has been divided into two sections, the first one concentrates on the development of novel ligands targeting the Translocator Protein 18 kDa (TSPO). Indeed, this target is today recognized as an early bio-marker of neuro-inflammatory processes and PK11195, an isoquinoline carboxamide labelled with carbon-11, was, in the late 80's, the first reported PET-radioligand. More recently, new compounds, all belonging to different chemical classes, have emerged and notably the pyrazolopyrimidine acetamide [ 11 C]DPA-713 and the pyridazinoindole acetamide [ 11 C]SSR180575. Within the first section of my PhD, novel derivatives of both DPA-713 and SSR180575 have been synthesized and in vitro characterized. Dedicated precursors for labelling were also developed for the most promising candidates, and radiolabelling has been performed. Some results have been presented at the 21. International Symposium on Radiopharmaceutical Sciences (Columbia, MO, USA - May 26-31, 2015).The second part of my PhD, deals with the development of ligands for alternative targets to the TSPO, like the type-2 cannabinoid receptor (CB2R) and the purinergic P2Y14/P2Y12 receptors, the latter emerging today as a hot topic for imaging opportunities

Linguistics and the Literary Text.

Science.gov (United States)

Ferrar, Madeleine

1984-01-01

Discusses the opposing viewpoints of the two most influential linguists of this century--Saussure and Chomsky--suggesting that while both are interested in form as opposed to substance, Saussure sees linguistics as a branch of semiotics and Chomsky sees it as part of cognitive psychology. Evaluates the relevance of these two viewpoints to the…

Neuro-inspired computing using resistive synaptic devices

CERN Document Server

2017-01-01

This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology. • Provides single-source reference to recent breakthroughs in resistive synaptic devices, not only at individual cell-level, but also at integrated array-level; • Includes detailed discussion of the peripheral circuits and array architecture design of the neuro-crossbar system; • Focuses on...

The New Voices = Nuevas Voces Guide to Cultural and Linguistic Diversity in Early Childhood/The New Voices = Nuevas Voces Facilitator's Guide to Cultural and Linguistic Diversity in Early Childhood

Science.gov (United States)

Castro, Dina C.; Ayankoya, Betsy; Kasprzak, Christina

2011-01-01

As early childhood programs and schools become more culturally and linguistically diverse, professionals need to create settings that welcome "new voices" and help all children succeed. This comprehensive professional development course gives them the in-depth practical guidance they need. Developed by respected scholar Dina Castro and her expert…

The Semiology of Motor Disorders in Autism Spectrum Disorders as Highlighted from a Standardized Neuro-Psychomotor Assessment

Science.gov (United States)

Paquet, Aude; Olliac, Bertrand; Bouvard, Manuel-Pierre; Golse, Bernard; Vaivre-Douret, Laurence

2016-01-01

Background: Altered motor performance has been described in Autism Spectrum Disorders (ASD) with disturbances in walking; posture, coordination, or arm movements, but some individuals with ASD show no impairment of motor skills. The neuro-developmental processes that underpin the performance of neuro-psychomotor functions have not been widely explored, nor is it clear whether there are neuro-psychomotor functions specifically affected in ASD. Our objective was to focus on the semiology of motor disorders among children with ASD using a neuro-developmental assessment tool. Method: Thirty-four children with ASD, with or without intellectual deficit (ID) were recruited in a child psychiatry department and Autism Resource Centers. Initial standard evaluations for diagnosis (psychiatric; psychological; psychomotor) were supplemented by a standardized assessment battery for neuro-developmental psychomotor functions (NP-MOT). Results: The results of some NP-MOT tests differed between children with ASD with ID and those without. However, on the NP-MOT battery, neither of the two groups did well in the bi-manual and finger praxia tests (36 and 52% respectively failed). Manual and digital gnosopraxia showed some deficit (63 and 62% respectively failed). Postural deficits were found in tests for both static equilibrium (64%) and dynamic (52%). There were also difficulties in coordination between the upper and lower limbs in 58% of children. We found 75% failure in motor skills on the M-ABC test. Concerning muscular tone, significant laxity was observed in distal parts of the body (feet and hands), but hypertonia was observed in the proximal muscles of the lower limbs (reduced heel-ear angle). Discussion: The results of manual and digital gnosopraxia tests point to a planning deficit in children with autism. A gesture programming deficit is also highlighted by the poor results in manual praxis, and by failures in the M-ABC tests despite prior training of the child. However

Clinical linguistics: its past, present and future.

Science.gov (United States)

Perkins, Michael R

2011-11-01

Historiography is a growing area of research within the discipline of linguistics, but so far the subfield of clinical linguistics has received virtually no systematic attention. This article attempts to rectify this by tracing the development of the discipline from its pre-scientific days up to the present time. As part of this, I include the results of a survey of articles published in Clinical Linguistics & Phonetics between 1987 and 2008 which shows, for example, a consistent primary focus on phonetics and phonology at the expense of grammar, semantics and pragmatics. I also trace the gradual broadening of the discipline from its roots in structural linguistics to its current reciprocal relationship with speech and language pathology and a range of other academic disciplines. Finally, I consider the scope of clinical linguistic research in 2011 and assess how the discipline seems likely develop in the future.

Are computers effective lie detectors? A meta-analysis of linguistic cues to deception.

Science.gov (United States)

Hauch, Valerie; Blandón-Gitlin, Iris; Masip, Jaume; Sporer, Siegfried L

2015-11-01

This meta-analysis investigates linguistic cues to deception and whether these cues can be detected with computer programs. We integrated operational definitions for 79 cues from 44 studies where software had been used to identify linguistic deception cues. These cues were allocated to six research questions. As expected, the meta-analyses demonstrated that, relative to truth-tellers, liars experienced greater cognitive load, expressed more negative emotions, distanced themselves more from events, expressed fewer sensory-perceptual words, and referred less often to cognitive processes. However, liars were not more uncertain than truth-tellers. These effects were moderated by event type, involvement, emotional valence, intensity of interaction, motivation, and other moderators. Although the overall effect size was small, theory-driven predictions for certain cues received support. These findings not only further our knowledge about the usefulness of linguistic cues to detect deception with computers in applied settings but also elucidate the relationship between language and deception. © 2014 by the Society for Personality and Social Psychology, Inc.

Synergistic nuclear import of NeuroD1 and its partner transcription factor, E47, via heterodimerization

International Nuclear Information System (INIS)

Mehmood, Rashid; Yasuhara, Noriko; Oe, Souichi; Nagai, Masahiro; Yoneda, Yoshihiro

2009-01-01

The transition from undifferentiated pluripotent cells to terminally differentiated neurons is coordinated by a repertoire of transcription factors. NeuroD1 is a type II basic helix loop helix (bHLH) transcription factor that plays critical roles in neuronal differentiation and maintenance in the central nervous system. Its dimerization with E47, a type I bHLH transcription factor, leads to the transcriptional regulation of target genes. Mounting evidence suggests that regulating the localization of transcription factors contributes to the regulation of their activity during development as defects in their localization underlie a variety of developmental disorders. In this study, we attempted to understand the nuclear import mannerisms of NeuroD1 and E47. We found that the nuclear import of NeuroD1 and E47 is energy-dependent and involves the Ran-mediated pathway. Herein, we demonstrate that NeuroD1 and E47 can dimerize inside the cytoplasm before their nuclear import. Moreover, this dimerization promotes nuclear import as the nuclear accumulation of NeuroD1 was enhanced in the presence of E47 in an in vitro nuclear import assay, and NLS-deficient NeuroD1 was successfully imported into the nucleus upon E47 overexpression. NeuroD1 also had a similar effect on the nuclear accumulation of NLS-deficient E47. These findings suggest a novel role for dimerization that may promote, at least partially, the nuclear import of transcription factors allowing them to function efficiently in the nucleus.

Formal linguistics as a cue to demographic history.

Science.gov (United States)

Longobardi, Giuseppe; Ceolin, Andrea; Ecay, Aaron; Ghirotto, Silvia; Guardiano, Cristina; Irimia, Monica-Alexandrina; Michelioudakis, Dimitris; Radkevich, Nina; Pettener, Davide; Luiselli, Donata; Barbujani, Guido

2016-06-20

Beyond its theoretical success, the development of molecular genetics has brought about the possibility of extraordinary progress in the study of classification and in the inference of the evolutionary history of many species and populations. A major step forward was represented by the availability of extremely large sets of molecular data suited to quantitative and computational treatments. In this paper, we argue that even in cognitive sciences, purely theoretical progress in a discipline such as linguistics may have analogous impact. Thus, exactly on the model of molecular biology, we propose to unify two traditionally unrelated lines of linguistic investigation: 1) the formal study of syntactic variation (parameter theory) in the biolinguistic program; 2) the reconstruction of relatedness among languages (phylogenetic taxonomy). The results of our linguistic analysis have thus been plotted against data from population genetics and the correlations have turned out to be largely significant: given a non-trivial set of languages/populations, the description of their variation provided by the comparison of systematic parametric analysis and molecular anthropology informatively recapitulates their history and relationships. As a result, we can claim that the reality of some parametric model of the language faculty and language acquisition/transmission (more broadly of generative grammar) receives strong and original support from its historical heuristic power. Then, on these grounds, we can begin testing Darwin's prediction that, when properly generated, the trees of human populations and of their languages should eventually turn out to be significantly parallel.

Micro-angiography for neuro-vascular imaging. I. Experimental evaluation and feasibility

International Nuclear Information System (INIS)

Ganguly, Arundhuti; Rudin, Stephen; Bednarek, Daniel R.; Hoffmann, Kenneth R.; Kyprianou, Iacovos S.

2003-01-01

Minimally invasive image-guided neuro-vascular interventions require very high image-resolution and quality, specifically over regions-of-interest (ROI) crucial to the procedure. ROI imaging or micro-angiography, allows limited patient integral radiation dose while permitting rapid frame transfer of high-resolution images. The design and performance of a charge coupled device (CCD) based x-ray detector or micro-angiographic camera was assessed for neuro-vascular procedures. The detector consists of a 250-μm-thick CsI(Tl) phosphor fiber-optically coupled through a 1.8:1 taper to a CCD chip, with an effective image pixel size of 50 μm and a frame rate of 5 fps in the 2:1 pixel-binned mode. The characteristics of the camera including the modulation transfer function (MTF), the noise equivalent quanta, the detective quantum efficiency, observer studies, and the effect of geometric magnification were evaluated. The MTF was found to have nonzero (1.7%) value at the Nyquist frequency of 10 cycles/mm, while the DQE(0) had a value of ∼55%. All values were measured using head equivalent attenuating material in the beam at 80 kVp. Human observer studies performed using the 2 Alternative Forced Choice method revealed that iodinated vessels with inner diameter of 100 μm and 2 cm in length can be seen with a confidence level greater than 75%. The observer studies included a comparison with ideal observer performance calculations based on the integral signal to noise ratio in the image. Probabilities of visualization of various objects of interest in a neuro-intervention, such as stents, were assessed. A geometric magnification of 1 was found to be best for imaging under neuro-angiographic conditions. The detector appeared to satisfy all the demands of neuro-angiography and showed promise as an improvement over existing angiographic detectors

Applied linguistics - a science of culture?

Directory of Open Access Journals (Sweden)

Benke, Gertraud

2003-01-01

Full Text Available In this article, the status of applied linguistics as discipline is questioned and problems of establishing it - and other newly formed scientific enterprises like cultural science - as disciplines are discussed. This discussion is contextualized using the author's own experience as applied linguist working in (the institutional structure of Austria. Secondly, applied linguistics is presented as complementing cultural science, with both exploring at times the same phenomena albeit under different perspectives and focussing on different levels of experience. Two examples of research involving such a joint interest with different foci are discussed.

Linguistic fire and human cognitive powers

DEFF Research Database (Denmark)

Cowley, Stephen

2012-01-01

To view language as a cultural tool challenges much of what claims to be linguistic science while opening up a new people-centred linguistics. On this view, how we speak, think and act depends on, not just brains (or minds), but also cultural traditions. Yet, Everett is conservative: like others...... theory, bodily dynamics themselves act as cues to meaning. Linguistic exostructures resemble tools that constrain how people concert acting-perceiving bodies. The result is unending renewal of verbal structures: like artefacts and institutions, they function to sustain a species-specific cultural ecology...

REALIZATION OF TRAINING PROGRAMME ON THE BASIS OF LINGUISTIC DATABASE FOR AUTOMATIC TEXTS PROCESSING SYSTEM

Directory of Open Access Journals (Sweden)

M. A. Makarych

2016-01-01

Full Text Available Due to the constant increasing of electronic textual information, modern society needs for the automatic processing of natural language (NL. The main purpose of NL automatic text processing systems is to analyze and create texts and represent their content. The purpose of the paper is the development of linguistic and software bases of an automatic system for processing English publicistic texts. This article discusses the examples of different approaches to the creation of linguistic databases for processing systems. The author gives a detailed description of basic building blocks for a new linguistic processor: lexical-semantic, syntactical and semantic-syntactical. The main advantage of the processor is using special semantic codes in the alphabetical dictionary. The semantic codes have been developed in accordance with a lexical-semantic classification. It helps to precisely define semantic functions of the keywords that are situated in parsing groups and allows the automatic system to avoid typical mistakes. The author also represents the realization of a developed linguistic database in the form of a training computer program.

Relations between Formal Linguistic Insecurity and the Perception of Linguistic Insecurity: A Quantitative Study in an Educational Environment at the Valencian Community (Spain)

Science.gov (United States)

Baldaqui Escandell, Josep M.

2011-01-01

What is the relationship between the awareness of linguistic prestige and the security or insecurity in the use of minoritised languages? Is formal linguistic insecurity (as initially described by Labov) the same as the speakers' perception of linguistic insecurity? Which are the variables related to the various types of linguistic insecurity in…

Psychological and Linguistic Portrait of Criminals. Introduction to Discussion

Directory of Open Access Journals (Sweden)

Jadwiga Stawnicka

2017-01-01

Full Text Available The article concerns one aspect of forensic linguistics, which concerns determination by the challenged statements. This is done in collaboration with linguist – creating a profile linguistic songwriter – and a psychologist – that creates a psychological profile. The cooperation of specialists can be used at the level of assessment, which is used for the purposes of investigation and legal proceedings. Expertise in the field of forensic linguistics (forensic linguistics, German. Forensische Linguistik include setting by/performance of speech based on the content of spoken or written (eg. The farewell letters, threatening letters, ransom demands; the possibility of setting texts by anonymous on the Internet, to determine the characteristics of linguistic stalkers and cyberstalkerów that can identify the sender of the message sender identification of the origin country, constructing linguistic profile anonymous author, the linguistic profile of the author of the well-known text. It should be added that the analysis of the content in content-language document contains emotional component, which is related to our knowledge about the determinants of language to express emotions, both negative and positive. An important element of the text is a matter of psychological portrait of the sender (author and / or performer of the text based on the identified linguistic features.

What can literature do for linguistics?

DEFF Research Database (Denmark)

Nørgaard, Nina

2007-01-01

  Through analyses of selected passages from James Joyce's Ulysses, this article demonstrates how the challenging of the boundaries between linguistics and literary studies can be more than a one-way process aimed at uncovering linguistic patterns of literary texts. The theoretical basis...

French Immersion Research in Canada: Recent Contributions to SLA and Applied Linguistics.

Science.gov (United States)

Swain, Merrill

2000-01-01

Discusses two questions: (1) What has the recent research conducted in French immersion programs in Canada contributed to understanding of second language acquisition?; and (2) What has it contributed to the broader field of applied linguistics? Considers research in the coming decade, and discusses obstacles that may be faced in Canada in…

Role of imaging in the management of neuro-ophthalmic disorders

Directory of Open Access Journals (Sweden)

Gandhi Rashmin

2011-01-01

Full Text Available Advancements in physics, computers, and imaging science in the last century have seen neuro-imaging evolving from a plain X-ray to computed tomography, magnetic resonance imaging scans, noninvasive angiography, and special sequences such as fat suppression, fluid attenuation recovery and diffusion-weighted imaging. A prompt prescription of an appropriate imaging modality and the most suitable sequence can increase the diagnostic yield, and in many instances, it can be a sight-saving and even a life-saving decision. This article discusses basic principles of neuro-imaging, its common indications, and the appropriate application in an ophthalmology practice.

Improved Trust Prediction in Business Environments by Adaptive Neuro Fuzzy Inference Systems

Directory of Open Access Journals (Sweden)

Ali Azadeh

2015-06-01

Full Text Available Trust prediction turns out to be an important challenge when cooperation among intelligent agents with an impression of trust in their mind, is investigated. In other words, predicting trust values for future time slots help partners to identify the probability of continuing a relationship. Another important case to be considered is the context of trust, i.e. the services and business commitments for which a relationship is defined. Hence, intelligent agents should focus on improving trust to provide a stable and confident context. Modelling of trust between collaborating parties seems to be an important component of the business intelligence strategy. In this regard, a set of metrics have been considered by which the value of confidence level for predicted trust values has been estimated. These metrics are maturity, distance and density (MD2. Prediction of trust for future mutual relationships among agents is a problem that is addressed in this study. We introduce a simulation-based model which utilizes linguistic variables to create various scenarios. Then, future trust values among agents are predicted by the concept of adaptive neuro-fuzzy inference system (ANFIS. Mean absolute percentage errors (MAPEs resulted from ANFIS are compared with confidence levels which are determined by applying MD2. Results determine the efficiency of MD2 for forecasting trust values. This is the first study that utilizes the concept of MD2 for improvement of business trust prediction.

Bupivacaine-induced apoptosis independently of WDR35 expression in mouse neuroblastoma Neuro2a cells

Science.gov (United States)

2012-01-01

Background Bupivacaine-induced neurotoxicity has been shown to occur through apoptosis. Recently, bupivacaine was shown to elicit reactive oxygen species (ROS) production and induce apoptosis accompanied by activation of p38 mitogen-activated protein kinase (MAPK) in a human neuroblastoma cell line. We have reported that WDR35, a WD40-repeat protein, may mediate apoptosis through caspase-3 activation. The present study was undertaken to test whether bupivacaine induces apoptosis in mouse neuroblastoma Neuro2a cells and to determine whether ROS, p38 MAPK, and WDR35 are involved. Results Our results showed that bupivacaine induced ROS generation and p38 MAPK activation in Neuro2a cells, resulting in apoptosis. Bupivacaine also increased WDR35 expression in a dose- and time-dependent manner. Hydrogen peroxide (H2O2) also increased WDR35 expression in Neuro2a cells. Antioxidant (EUK-8) and p38 MAPK inhibitor (SB202190) treatment attenuated the increase in caspase-3 activity, cell death and WDR35 expression induced by bupivacaine or H2O2. Although transfection of Neuro2a cells with WDR35 siRNA attenuated the bupivacaine- or H2O2-induced increase in expression of WDR35 mRNA and protein, in contrast to our previous studies, it did not inhibit the increase in caspase-3 activity in bupivacaine- or H2O2-treated cells. Conclusions In summary, our results indicated that bupivacaine induced apoptosis in Neuro2a cells. Bupivacaine induced ROS generation and p38 MAPK activation, resulting in an increase in WDR35 expression, in these cells. However, the increase in WDR35 expression may not be essential for the bupivacaine-induced apoptosis in Neuro2a cells. These results may suggest the existence of another mechanism of bupivacaine-induced apoptosis independent from WDR35 expression in Neuro2a cells. PMID:23227925

Towards a theoretical framework for analyzing complex linguistic networks

CERN Document Server

Lücking, Andy; Banisch, Sven; Blanchard, Philippe; Job, Barbara

2016-01-01

The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the natural sciences and the humanities.This book addresses researchers who want to get familiar with theoretical developments, computational models and their empirical evaluation in the field of complex linguistic networks. It is intended to all those who are interested in statisticalmodels of linguistic systems from the point of view of network research. This includes all relevant areas of linguistics ranging from phonological, morphological and lexical networks on the one hand and syntactic, semantic and pragmatic networks on the other. In this sense, the volume concerns readers from many disciplines such as physics, linguistics, computer science and information scien...

LINGUISTIC DIVERSITY AT PORTUGUESE TEXTBOOK: SOME CONSIDERATIONS

Directory of Open Access Journals (Sweden)

Paula Gaida Winch

2013-12-01

Full Text Available It is analyzed how linguistic diversity is dealt with in a Portuguese textbook, where two chapters are designated to it. In these, it is pointed out that speaker ethnic origin can be manifested differently by: morphological changes; use of foreign expressions; accent in oral language. In synthesis, the linguistic diversity is dealt with through activities of identification and reproduction of linguistic varieties to be carried out by the students.

A neuro-fuzzy inference system for sensor failure detection using wavelet denoising, PCA and SPRT

International Nuclear Information System (INIS)

Na, Man Gyun

2001-01-01

In this work, a neuro-fuzzy inference system combined with the wavelet denoising, PCA(principal component analysis) and SPRT (sequential probability ratio test) methods is developed to detect the relevant sensor failure using other sensor signals. The wavelet denoising technique is applied to remove noise components in input signals into the neuro-fuzzy system. The PCA is used to reduce the dimension of an input space without losing a significant amount of information, The PCA makes easy the selection of the input signals into the neuro-fuzzy system. Also, a lower dimensional input space usually reduces the time necessary to train a neuro-fuzzy system. The parameters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The residuals between the estimated signals and the measured signals are used to detect whether the sensors are failed or not. The SPRT is used in this failure detection algorithm. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level and the hot-leg flowrate sensors in pressurized water reactors

Cognitive linguistics.

Science.gov (United States)

Evans, Vyvyan

2012-03-01

Cognitive linguistics is one of the fastest growing and influential perspectives on the nature of language, the mind, and their relationship with sociophysical (embodied) experience. It is a broad theoretical and methodological enterprise, rather than a single, closely articulated theory. Its primary commitments are outlined. These are the Cognitive Commitment-a commitment to providing a characterization of language that accords with what is known about the mind and brain from other disciplines-and the Generalization Commitment-which represents a dedication to characterizing general principles that apply to all aspects of human language. The article also outlines the assumptions and worldview which arises from these commitments, as represented in the work of leading cognitive linguists. WIREs Cogn Sci 2012, 3:129-141. doi: 10.1002/wcs.1163 For further resources related to this article, please visit the WIREs website. Copyright © 2012 John Wiley & Sons, Inc.

Citation classics in neuro-oncology: assessment of historical trends and scientific progress.

Science.gov (United States)

Hachem, Laureen D; Mansouri, Alireza; Juraschka, Kyle; Taslimi, Shervin; Pirouzmand, Farhad; Zadeh, Gelareh

2017-09-01

Citation classics represent the highest cited works in a field and are often regarded as the most influential literature. Analyzing thematic trends in citation classics across eras enables recognition of important historical advances within a field. We present the first analysis of the citation classics in neuro-oncology. The Web of Science database was searched using terms relevant to "neuro-oncology." Articles with >400 citations were identified and the top 100 cited articles were evaluated. The top 100 neuro-oncology citation classics consisted of 43 clinical studies (17 retrospective, 10 prospective, 16 randomized trials), 43 laboratory investigations, 8 reviews/meta-analyses, and 6 guidelines/consensus statements. Articles were classified into 4 themes: 13 pertained to tumor classification, 37 to tumor pathogenesis/clinical presentation, 6 to imaging, 44 to therapy (15 chemotherapy, 10 radiotherapy, 5 surgery, 14 new agents). Gliomas were the most common tumor type examined, with 70 articles. There was a significant increase in the number of citation classics in the late 1990s, which was paralleled by an increase in studies examining tumor pathogenesis, chemotherapy, and new agents along with laboratory and randomized studies. The majority of citation classics in neuro-oncology are related to gliomas and pertain to tumor pathogenesis and treatment. The rise in citation classics in recent years investigating tumor biology, new treatment agents, and chemotherapeutics may reflect increasing scientific interest in nonsurgical treatments for CNS tumors and the need for fundamental investigations into disease processes. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Linguistic Characteristics of Advertising English

Institute of Scientific and Technical Information of China (English)

易高燕

2010-01-01

Advertising language takes form under the influence of linguistics,psychology and sociology,etc,and its way of choosing words and building sentences are quite different from normal English.And as a practical language,advertising English has its specific functions,and it has been distinguished from normal English as an independent language,and it has plentiful values.This paper aims to discuss some linguistic characteristics of advertising English.

The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology.

Science.gov (United States)

Eekers, Daniëlle Bp; In 't Ven, Lieke; Roelofs, Erik; Postma, Alida; Alapetite, Claire; Burnet, Neil G; Calugaru, Valentin; Compter, Inge; Coremans, Ida E M; Høyer, Morton; Lambrecht, Maarten; Nyström, Petra Witt; Romero, Alejandra Méndez; Paulsen, Frank; Perpar, Ana; de Ruysscher, Dirk; Renard, Laurette; Timmermann, Beate; Vitek, Pavel; Weber, Damien C; van der Weide, Hiske L; Whitfield, Gillian A; Wiggenraad, Ruud; Troost, Esther G C

2018-03-13

To create a digital, online atlas for organs at risk (OAR) delineation in neuro-oncology based on high-quality computed tomography (CT) and magnetic resonance (MR) imaging. CT and 3 Tesla (3T) MR images (slice thickness 1 mm with intravenous contrast agent) were obtained from the same patient and subsequently fused. In addition, a 7T MR without intravenous contrast agent was obtained from a healthy volunteer. Based on discussion between experienced radiation oncologists, the clinically relevant organs at risk (OARs) to be included in the atlas for neuro-oncology were determined, excluding typical head and neck OARs previously published. The draft atlas was delineated by a senior radiation oncologist, 2 residents in radiation oncology, and a senior neuro-radiologist incorporating relevant available literature. The proposed atlas was then critically reviewed and discussed by European radiation oncologists until consensus was reached. The online atlas includes one CT-scan at two different window settings and one MR scan (3T) showing the OARs in axial, coronal and sagittal view. This manuscript presents the three-dimensional descriptions of the fifteen consensus OARs for neuro-oncology. Among these is a new OAR relevant for neuro-cognition, the posterior cerebellum (illustrated on 7T MR images). In order to decrease inter- and intra-observer variability in delineating OARs relevant for neuro-oncology and thus derive consistent dosimetric data, we propose this atlas to be used in photon and particle therapy. The atlas is available online at www.cancerdata.org and will be updated whenever required. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Are Prospective English Teachers Linguistically Intelligent?

Science.gov (United States)

Tezel, Kadir Vefa

2017-01-01

Language is normally associated with linguistic capabilities of individuals. In the theory of multiple intelligences, language is considered to be related primarily to linguistic intelligence. Using the theory of Multiple Intelligences as its starting point, this descriptive survey study investigated to what extent prospective English teachers'…

Linguistic Recycling and the Open Community.

Science.gov (United States)

Dasgupta, Probal

2001-01-01

Examines linguistic recycling in the context of domestic Esperanto use. Argues that word-meaning recycling reflects the same fundamental principles as sentential recursion, and that a linguistics theoretically sensitive to these principles strengthens practical efforts towards the social goal of an open speech community. (Author/VWL)

Protein linguistics - a grammar for modular protein assembly?

Science.gov (United States)

Gimona, Mario

2006-01-01

The correspondence between biology and linguistics at the level of sequence and lexical inventories, and of structure and syntax, has fuelled attempts to describe genome structure by the rules of formal linguistics. But how can we define protein linguistic rules? And how could compositional semantics improve our understanding of protein organization and functional plasticity?

On Norms and Linguistic Categories in Linguistic Diversity Management

NARCIS (Netherlands)

Marácz, L.

2014-01-01

Due to globalization there is an increase in the appearances of languages in the multilingual linguistic landscape in urban spaces. Commentators have described this state of affairs as super-, mega- or complex diversity. Mainstream sociolinguists have argued that languages have no fixed boundaries

Neuro tropic Melanoma: The Management of Localised Disease

International Nuclear Information System (INIS)

Croker, J.; Burmeister, B.; Foote, M.

2012-01-01

Neuro tropic melanoma is a rare subtype of cutaneous malignant melanoma. Compared with conventional melanoma, it is more locally aggressive with an increased tendency for local recurrence but less likely for nodal or distant metastases. These tumours can be a diagnostic dilemma with a variety of morphological, histopathological, and immunophenotypical expressions. The often amelanotic, benign appearance may lead to treatment issues such as late presentation, diagnostic delay, misdiagnosis, insufficient surgical margins, and recurrence with resulting poor outcome. The neuro tropic nature of the disease and prevalence in the head and neck region can result in peri neural and neural invasion along named large nerves into the brain with resulting neuropathies. Wide local excision with adjuvant radiotherapy where indicated remains the current practice for treatment with chemotherapy predominately being reserved as a salvage treatment for patients with disseminated disease.

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING

Directory of Open Access Journals (Sweden)

ANGELOS P. MARKOPOULOS

2016-09-01

Full Text Available Soft computing is commonly used as a modelling method in various technological areas. Methods such as Artificial Neural Networks and Fuzzy Logic have found application in manufacturing technology as well. NeuroFuzzy systems, aimed to combine the benefits of both the aforementioned Artificial Intelligence methods, are a subject of research lately as have proven to be superior compared to other methods. In this paper an adaptive neuro-fuzzy inference system for the prediction of surface roughness in end milling is presented. Spindle speed, feed rate, depth of cut and vibrations were used as independent input variables, while roughness parameter Ra as dependent output variable. Several variations are tested and the results of the optimum system are presented. Final results indicate that the proposed model can accurately predict surface roughness, even for input that was not used in training.

Emerging trends in neuro engineering and neural computation

CERN Document Server

Lee, Kendall; Garmestani, Hamid; Lim, Chee

2017-01-01

This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologie...

Stellenbosch Papers in Linguistics: Journal Sponsorship

African Journals Online (AJOL)

Publisher. Stellenbosch Papers in Linguistics (SPiL) is published by the Department of General Linguistics of Stellenbosch University. Publisher contact person: Mrs Christine Smit. Email: linguis@sun.ac.za. Phone: 021 808 2052. Fax: 021 808 2009. Mailing address: Private Bag X1, Matieland, 7602. Department of General ...

Applied Linguistics in Its Disciplinary Context

Science.gov (United States)

Liddicoat, Anthony J.

2010-01-01

Australia's current attempt to develop a process to evaluate the quality of research (Excellence in Research for Australia--ERA) places a central emphasis on the disciplinary organisation of academic work. This disciplinary focus poses particular problems for Applied Linguistics in Australia. This paper will examine Applied Linguistics in relation…

Neuro-pharmacological functional MRI of epilepsy

Energy Technology Data Exchange (ETDEWEB)

Kiriyama, Hideki; Makabe, Tetsuo; Tomita, Susumu; Omoto, Takashi; Asari, Shoji [Okayama Univ. (Japan). School of Medicine; Aihara, Hiroshi; Kinugasa, Kazushi; Nishimoto, Akira; Ito, Takahiko

2000-03-01

We studied patients with epilepsy by neuro-pharmacological functional MRI technique using diazepam. Five normal volunteers and 7 patients with epilepsy were investigated. MRI was performed by a 1.5 T unit (SIGNA Horizon, GE) using the following parameters: TR/TE 5000 msec/80 msec, FA 90 deg, FOV 200 mm, matrix 128 x 128, slice thickness 7 mm. We performed MRI scanning over 5 minutes (2 minutes before and 3 minutes after injection of diazepam) for each 1 session; we scanned 3 sessions for each patient at intervals of 5 minutes. The diazepam was injected rapidly from the antecubital vein. The dose of diazepam was 0.05 mg/kg/injection (total dose was 0.15 mg/kg). The data were analyzed statistically using t-test. Signal change after administration of diazepam was less than 1 to 2% in healthy volunteers. By contrast, in patient with epilepsy, the signal change was almost 3%, which was significantly greater than that of the normal area (p=0.01). The neuro-pharmacological functional MRI technique using diazepam might be a useful method to identify epileptic foci. (author)

Neuro-pharmacological functional MRI of epilepsy

International Nuclear Information System (INIS)

Kiriyama, Hideki; Makabe, Tetsuo; Tomita, Susumu; Omoto, Takashi; Asari, Shoji; Aihara, Hiroshi; Kinugasa, Kazushi; Nishimoto, Akira; Ito, Takahiko

2000-01-01

We studied patients with epilepsy by neuro-pharmacological functional MRI technique using diazepam. Five normal volunteers and 7 patients with epilepsy were investigated. MRI was performed by a 1.5 T unit (SIGNA Horizon, GE) using the following parameters: TR/TE 5000 msec/80 msec, FA 90 deg, FOV 200 mm, matrix 128 x 128, slice thickness 7 mm. We performed MRI scanning over 5 minutes (2 minutes before and 3 minutes after injection of diazepam) for each 1 session; we scanned 3 sessions for each patient at intervals of 5 minutes. The diazepam was injected rapidly from the antecubital vein. The dose of diazepam was 0.05 mg/kg/injection (total dose was 0.15 mg/kg). The data were analyzed statistically using t-test. Signal change after administration of diazepam was less than 1 to 2% in healthy volunteers. By contrast, in patient with epilepsy, the signal change was almost 3%, which was significantly greater than that of the normal area (p=0.01). The neuro-pharmacological functional MRI technique using diazepam might be a useful method to identify epileptic foci. (author)

A Neuro-Fuzzy Inference System Combining Wavelet Denoising, Principal Component Analysis, and Sequential Probability Ratio Test for Sensor Monitoring

International Nuclear Information System (INIS)

Na, Man Gyun; Oh, Seungrohk

2002-01-01

A neuro-fuzzy inference system combined with the wavelet denoising, principal component analysis (PCA), and sequential probability ratio test (SPRT) methods has been developed to monitor the relevant sensor using the information of other sensors. The parameters of the neuro-fuzzy inference system that estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The wavelet denoising technique was applied to remove noise components in input signals into the neuro-fuzzy system. By reducing the dimension of an input space into the neuro-fuzzy system without losing a significant amount of information, the PCA was used to reduce the time necessary to train the neuro-fuzzy system, simplify the structure of the neuro-fuzzy inference system, and also, make easy the selection of the input signals into the neuro-fuzzy system. By using the residual signals between the estimated signals and the measured signals, the SPRT is applied to detect whether the sensors are degraded or not. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level, the pressurizer pressure, and the hot-leg temperature sensors in pressurized water reactors

Ninth international conference on computational linguistics Coling 82

Energy Technology Data Exchange (ETDEWEB)

1983-01-01

This paper presents the summary reports presented at the concluding session and evaluating the state of the art, trends and perspectives as reflected in the papers presented at Coling 82 in six domains: machine translation, grammatico-semantic analysis, linguistics in its relations to computational linguistics, question answering, artificial intelligence and knowledge representation, and information retrieval and linguistic data bases.

A phylogenetic and cognitive perspective on linguistic complexity ...

African Journals Online (AJOL)

In recent years a growing interest in the nature of linguistic complexity has emerged in linguistic circles. A striking feature of this interest is that linguistic complexity is taken to be a phenomenon in its own right. In fact, an extreme construal of the inherent complexity of language is represented in the notion of universal ...

Ideologeme "Order" in Modern American Linguistic World Image

Science.gov (United States)

Ibatova, Aygul Z.; Vdovichenko, Larisa V.; Ilyashenko, Lubov K.

2016-01-01

The paper studies the topic of modern American linguistic world image. It is known that any language is the most important instrument of cognition of the world by a person but there is also no doubt that any language is the way of perception and conceptualization of this knowledge about the world. In modern linguistics linguistic world image is…

A Survey on the Exchange of Linguistic Resources: Publishing Linguistic Linked Open Data on the Web

Science.gov (United States)

Lezcano, Leonardo; Sanchez-Alonso, Salvador; Roa-Valverde, Antonio J.

2013-01-01

Purpose: The purpose of this paper is to provide a literature review of the principal formats and frameworks that have been used in the last 20 years to exchange linguistic resources. It aims to give special attention to the most recent approaches to publishing linguistic linked open data on the Web. Design/methodology/approach: Research papers…

Heidelberg Neuro-Music Therapy for chronic-tonal tinnitus - treatment outline and psychometric evaluation.

Science.gov (United States)

Argstatter, Heike; Grapp, Miriam; Plinkert, Peter K; Bolay, Hans Volker

2012-01-01

Musical training positively influences the cortical plasticity of the brain and has proven to be effective in treating chronic tinnitus. A neuro-music therapy concept, the "Heidelberg Neuro-Music Therapy" treatment was developed and evaluated. A prospective, cross-sectional design was used. N = 135 patients (mean age 47 years) with chronic, tonal tinnitus attended a standardized protocol for Neuro-Music Therapy (either "standard therapy" ST or "compact therapy" CT). The results were compared to a cognitive behavioral placebo music therapy procedure (PT). Tinnitus distress was assessed using the German version of the Tinnitus-Questionnaire (TQ) at admission, at discharge and six months after therapy. Changes were assessed statistically and by means of clinical significance. TQ scores significantly improved - independent of group allocation. But more than 80% of the music therapy patients (both ST and CT) revealed a reliable improvement ("responder") compared to 44% in the PT group. Therapy impact seems to be lasting since TQ scores remained stable until follow-up at six months. The "Heidelberg Neuro-Music Therapy" is a method with fast onset and long lasting effect for patients with "tonal" tinnitus. A number of potential working factors accounting for the treatment success are highlighted.

Diffusion-weighted MR imaging of neuro-Behcet's disease: a case report

International Nuclear Information System (INIS)

Hiwatashi, Akio; Moritani, Toshio; Kinoshita, Toshibumi; Westesson, Per-Lennart; Garber, Todd

2003-01-01

We present a serial study of diffusion-weighted imaging (DWI) in a patient with neuro-Behcet's disease. Initial T2-weighted magnetic resonance images showed a hyperintense lesion in the brain stem. The lesion was slightly hyperintense on DWI and the apparent diffusion coefficient (ADC) was slightly increased. Ten months later, DWI showed an improvement in the abnormal signal intensity and the region of increased ADC had increased in size, especially on the left side. DWI is useful for differentiating an acute exacerbation of neuro-Behcet's disease from acute infarction. (orig.)

NeuroElectro: A Window to the World's Neuron Electrophysiology Data

Directory of Open Access Journals (Sweden)

Shreejoy J Tripathy

2014-04-01

Full Text Available The behavior of neural circuits is determined largely by the electrophysiological properties of the neurons they contain. Understanding the relationships of these properties requires the ability to first identify and catalog each property. However, information about such properties is largely locked away in decades of closed-access journal articles with heterogeneous conventions for reporting results, making it difficult to utilize the underlying data. We solve this problem through the NeuroElectro project: a Python library, RESTful API, and web application (at http://neuroelectro.org for the extraction, visualization, and summarization of published data on neurons' electrophysiological properties. Information is organized both by neuron type (using neuron definitions provided by NeuroLex and by electrophysiological property (using a newly developed ontology. We describe the techniques and challenges associated with the automated extraction of tabular electrophysiological data and methodological metadata from journal articles. We further discuss strategies for how to best combine, normalize and organize data across these heterogeneous sources. NeuroElectro is a valuable resource for experimental physiologists looking to supplement their own data, for computational modelers looking to constrain their model parameters, and for theoreticians searching for undiscovered relationships among neurons and their properties.

MODERN LINGUISTICS, ITS DEVELOPMENT AND SCOPE.

Science.gov (United States)

LEVIN, SAMUEL R.

THE DEVELOPMENT OF MODERN LINGUISTICS STARTED WITH JONES' DISCOVERY IN 1786 THAT SANSKRIT IS CLOSELY RELATED TO THE CLASSICAL, GERMANIC, AND CELTIC LANGUAGES, AND HAS ADVANCED TO INCLUDE THE APPLICATION OF COMPUTERS IN LANGUAGE ANALYSIS. THE HIGHLIGHTS OF LINGUISTIC RESEARCH HAVE BEEN DE SAUSSURE'S DISTINCTION BETWEEN THE DIACHRONIC AND THE…

Applied Linguistics: The Challenge of Theory

Science.gov (United States)

McNamara, Tim

2015-01-01

Language has featured prominently in contemporary social theory, but the relevance of this fact to the concerns of Applied Linguistics, with its necessary orientation to practical issues of language in context, represents an ongoing challenge. This article supports the need for a greater engagement with theory in Applied Linguistics. It considers…

Is hair loss a reality in neuro-interventional radiology?

LENUS (Irish Health Repository)

Gavagan, L

2012-02-01

Reports in the literature of radiation-induced hair loss are becoming increasingly common. This work describes a retrospective dose study of patients (n = 958) undergoing diagnostic (primarily cerebral angiograms) and therapeutic (primarily cerebral embolisation) procedures in a neuro-interventional suite. A comparison of patient doses as dose area product (DAP) readings from a single-plane image intensifier system (mean DAP value of 8772 cGy cm(2)) were compared with patient doses from a flat panel biplane system (mean DAP value of 7855 cGy cm(2)). Over 80 % of patients requiring neuro-interventional procedures were found to undergo two procedures or more. An estimated 7 % of therapeutic procedures were found to reach the International Commission on Radiological Protection threshold for temporary epilation.

A groundwork for allostatic neuro-education

OpenAIRE

Gerdes, Lee; Tegeler, Charles H.; Lee, Sung W.

2015-01-01

We propose to enliven educational practice by marrying a conception of education as guided human development, to an advanced scientific understanding of the brain known as allostasis (stability through change). The result is a groundwork for allostatic neuro-education (GANE). Education as development encompasses practices including the organic (homeschooling and related traditions), cognitive acquisition (emphasis on standards and testing), and the constructivist (aimed to support adaptive cr...

Automated Linguistic Personality Description and Recognition Methods

Directory of Open Access Journals (Sweden)

Danylyuk Illya

2016-12-01

Full Text Available Background: The relevance of our research, above all, is theoretically motivated by the development of extraordinary scientific and practical interest in the possibilities of language processing of huge amount of data generated by people in everyday professional and personal life in the electronic forms of communication (e-mail, sms, voice, audio and video blogs, social networks, etc.. Purpose: The purpose of the article is to describe the theoretical and practical framework of the project "Communicative-pragmatic and discourse-grammatical lingvopersonology: structuring linguistic identity and computer modeling". The description of key techniques is given, such as machine learning for language modeling, speech synthesis, handwriting simulation. Results: Lingvopersonology developed some great theoretical foundations, its methods, tools, and significant achievements let us predict that the newest promising trend is a linguistic identity modeling by means of information technology, including language. We see three aspects of the modeling: 1 modeling the semantic level of linguistic identity – by means of the use of corpus linguistics; 2 sound level formal modeling of linguistic identity – with the help of speech synthesis; 3 formal graphic level modeling of linguistic identity – with the help of image synthesis (handwriting. For the first case, we suppose to use machine learning technics and vector-space (word2vec algorithm for textual speech modeling. Hybrid CUTE method for personality speech modeling will be applied to the second case. Finally, trained with the person handwriting images neural network can be an instrument for the last case. Discussion: The project "Communicative-pragmatic, discourse, and grammatical lingvopersonology: structuring linguistic identity and computer modeling", which is implementing by the Department of General and Applied Linguistics and Slavonic philology, selected a task to model Yuriy Shevelyov (Sherekh�

Impact of the application of neurolinguistic programming to mothers of children enrolled in a day care center of a shantytown.

Science.gov (United States)

de Miranda, C T; de Paula, C S; Palma, D; da Silva, E M; Martin, D; de Nóbrega, F J

1999-03-04

Of the members of a family, the mother is without doubt the most important one, which provides justification for including an evaluation of her mental health as one of the variables to be considered as determining factors in each child's level of development. To assess the impact of the application of Neurolinguistic Programming (NLP) on child development, home environment and maternal mental health. Randomised controlled trial. The study included children enrolled in the municipal day care center of a shantytown in the City of São Paulo. 45 pairs of mothers and respective children between 18 and 36 months of age. Children's development (Bayley scales); home environment variation (HOME); and maternal mental health (SRQ). Comparison between before and after the intervention was made in terms of children's psychomotor development, home environment and maternal mental health. Application of the NLP technique to the experimental group and comparison with a control group. 1--Experimental (EG), consisting of 23 children submitted to intervention by NLP; and 2--Control (CG), with 22 children with no intervention. Length of intervention: 15 sessions of NLP. 37 children remained in the study (EG = 10, CG = 27). Variations in mental development (OR 1.21, IC 95% 0.0 to 23.08) in their home environment (Wilcoxon): p = 0.96 (before) and p = 0.09 (after); in maternal mental health: p = 0.26, 2 df. There was a trend that indicated positive effects on the home environment from the intervention.

Ghana Journal of Linguistics: Editorial Policies

African Journals Online (AJOL)

Focus and Scope. The Ghana Journal of Linguistics is a peer-reviewed scholarly journal appearing twice a year, published by the Linguistics Association of Ghana. Beginning with Volume 2 (2013) it is published in electronic format only, open access, at www.ajol.info. However print-on-demand copies can be made ...

Physical Linguistics.

Science.gov (United States)

Tice, Bradley S.

Physical linguistics is defined as the use of treatments from the field of speech pathology to enhance first and second language production in healthy individuals, resulting in increased quality and strength of phonation and articulation. A series of exercises for treating dysarthria (weakness, paralysis, discoordination, primary and secondary…

It ain't what you say, it's how you say it: linguistic and cultural diversity in the classroom.

Science.gov (United States)

Robinson, Cynthia Cole; Clardy, Pauline

2011-01-01

The disparity between the cultural and linguistic diversity of the teaching population and the student population continues to grow as teacher education programs enroll and graduate primarily white teacher candidates (83.7%). At the same time, the diversity of the K-12 student body has increased with 65% of public school students being from culturally and linguistically diverse backgrounds (National Center for Education Statistics, 2007). This chasm between the diversity of the teaching force and student population is of concern as many teachers report that they do not have the cultural knowledge and experience of working or living in diverse environments, yet will be faced with teaching a very diverse student population. Hence, the need for teacher candidates and current teachers to be explicitly taught the skills needed to successfully teach diverse student populations is urgent. In this article, we explore the following phenomena: how linguistic and cultural diversity is regarded in teacher education programs, as well as teacher candidates' and current K-12 teachers' dispositions towards students who do not share their cultural backgrounds or language (including those who vary in their dialects). Finally, we will present strategies that teacher educators can use to embrace and empower culturally and linguistically diverse (CLD) teacher candidates, as well as prepare teacher candidates to teach diverse student populations.

Dissociating linguistic and non-linguistic gesture processing: electrophysiological evidence from American Sign Language.

Science.gov (United States)

Grosvald, Michael; Gutierrez, Eva; Hafer, Sarah; Corina, David

2012-04-01

A fundamental advance in our understanding of human language would come from a detailed account of how non-linguistic and linguistic manual actions are differentiated in real time by language users. To explore this issue, we targeted the N400, an ERP component known to be sensitive to semantic context. Deaf signers saw 120 American Sign Language sentences, each consisting of a "frame" (a sentence without the last word; e.g. BOY SLEEP IN HIS) followed by a "last item" belonging to one of four categories: a high-close-probability sign (a "semantically reasonable" completion to the sentence; e.g. BED), a low-close-probability sign (a real sign that is nonetheless a "semantically odd" completion to the sentence; e.g. LEMON), a pseudo-sign (phonologically legal but non-lexical form), or a non-linguistic grooming gesture (e.g. the performer scratching her face). We found significant N400-like responses in the incongruent and pseudo-sign contexts, while the gestures elicited a large positivity. Copyright © 2012 Elsevier Inc. All rights reserved.

LINGUISTIC AND CULTURAL STUDIES: THE QUEST FOR NEW IDEAS

Directory of Open Access Journals (Sweden)

Vitalii Kononenko

2015-05-01

Full Text Available The article highlights the principles of researching into text from the interdisciplinary linguistic and cultural perspective. Cognitological analysis of linguistic and extralinguistic cultural meanings reveals that there exist of specific linguistic and aesthetic formations best presented through the ‘language – culture – identity’ triad. One of the components of literary discourse is monocultural layer, which secures the continuity of national cultural tradition; researching into it, one should take into account mental and historical, psycholinguistic, sociolinguistic and other factors. Linguistic and aesthetic analysis helps to establish the system of linguistic and cultural means (metaphorization, imagery, verbal symbols, linguistic conceptualization, connotative meanings, which reveals its potential in literary texts. The lingual identity as a general notional category shows its nationally-oriented characteristics through the dichotomies of ‘addresser-addressee’ , ‘author-reader’, ‘narrator-narratee’ and is presented in the author’s idiolect.

Predicting the Proficiency of Arabic and Persian Linguists Trained at the Defense Language Institute Foreign Language Center

National Research Council Canada - National Science Library

DeRamus, Nicole

1999-01-01

The mission of the Defense Language Institute Foreign Language Center (DLIFLC) is to train, sustain, and evaluate foreign language skills of linguists under the guidelines of the Defense Foreign Language Program (DFLP...

Aquatic intervention in children with neuro-motor impairments

NARCIS (Netherlands)

Getz, M.D.

2006-01-01

The present thesis addresses the influence of aquatic interventions on motor performance of children with neuro-motor deficiencies in a functional context. The theoretical framework is based on a functional approach in compliance to the International Classification of Function and Disability (ICF).

Role of linguistic skills in fifth-grade mathematics.

Science.gov (United States)

Kleemans, Tijs; Segers, Eliane; Verhoeven, Ludo

2018-03-01

The current study investigated the direct and indirect relations between basic linguistic skills (i.e., phonological skills and grammatical ability) and advanced linguistic skills (i.e., academic vocabulary and verbal reasoning), on the one hand, and fifth-grade mathematics (i.e., arithmetic, geometry, and fractions), on the other, taking working memory and general intelligence into account and controlling for socioeconomic status, age, and gender. The results showed the basic linguistic representations of 167 fifth graders to be indirectly related to their geometric and fraction skills via arithmetic. Furthermore, advanced linguistic skills were found to be directly related to geometry and fractions after controlling for arithmetic. It can be concluded that linguistic skills directly and indirectly relate to mathematical ability in the upper grades of primary education, which highlights the importance of paying attention to such skills in the school curriculum. Copyright © 2017 Elsevier Inc. All rights reserved.

Aspects of conversational style-linguistic versus behavioral analysis.

Science.gov (United States)

Hall, G A

1992-01-01

Skinner's functional analysis of verbal behavior has been contrasted with formal linguistic analysis which studies the grammatical structure and "meaning" of verbal response-products, regardless of the circumstances under which they are produced. Nevertheless, it appears that certain areas of linguistic analysis are not entirely structural. In her recent books That's Not What I Meant (1986) and You Just Don't Understand (1990), the linguist Deborah Tannen purports to explain how people exhibit different "conversation styles"-that is, how they speak and achieve effects on listeners in different ways. There are indications, however, that the linguistic model may not be the most functional and precise one that could be used in analyzing conversational style. This paper takes concepts presented in Deborah Tannen's book That's Not What I Meant (1986), analyzes them from a linguistic and a behavioral perspective, and compares the relative utility of the two approaches.

Wittgenstein and the linguistic turn in social theory

DEFF Research Database (Denmark)

Hermansen, Jens Christian

of Winch in social theory, the wider and more recent influence of Wittgenstein in areas such as technology and science studies, social theory, feminist and gender studies and conversation and discourse analysis is also considered. Historically, the readings of Wittgenstein in the social sciences have taken...... of the linguistic turn in social theory, the linguistic turn is a double-edged sword of both profound insights and limits; the claim is that the limits of the linguistic turn are the strengths of functionalist, structuralist and materialist approaches to the social sciences. The approach of the critical turn...... is to develop a more comprehensive social theory that is sensitive to these strengths and thus supersedes the limits of the linguistic turn. This paper suggests a different approach. Against the critical turn, the paper argues that the limits of the linguistic turn are identical with the very assumptions...

Statistical Measures for Usage-Based Linguistics

Science.gov (United States)

Gries, Stefan Th.; Ellis, Nick C.

2015-01-01

The advent of usage-/exemplar-based approaches has resulted in a major change in the theoretical landscape of linguistics, but also in the range of methodologies that are brought to bear on the study of language acquisition/learning, structure, and use. In particular, methods from corpus linguistics are now frequently used to study distributional…

Using neuro-fuzzy based method to develop nuclear turbine cycle model

International Nuclear Information System (INIS)

Chan Yeakuang; Chang Chinjang

2009-01-01

The purpose of this study is to describe a hybrid soft-computing modeling technique used to develop the steam turbine cycle model for nuclear power plants. The technique uses neuro-fuzzy model to predict the generator output. Firstly, the plant past three fuel cycles operating data above 95% load were collected and validated as the baseline performance data set. Then the signal errors for new operating data were detected by comparison with the baseline data set and their allowable range of variations. Finally, the most important parameters were selected as an input of the neuro-fuzzy based steam turbine cycle model. After training and testing with key parameters (i.e. throttle pressure, condenser backpressure, feedwater flow rate, and final feedwater temperature), the proposed model can be used to predict the generator output. The analysis results show this neuro-fuzzy based turbine cycle model can be used to predict the generator output with a good agreement. Moreover, the achievement of this study provides an alternative approach in thermal performance evaluation for nuclear power plants. (author)

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.

Science.gov (United States)

Al-Awami, Ali K; Beyer, Johanna; Strobelt, Hendrik; Kasthuri, Narayanan; Lichtman, Jeff W; Pfister, Hanspeter; Hadwiger, Markus

2014-12-01

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

Gradual nerve elongation affects nerve cell bodies and neuro-muscular junctions.

Science.gov (United States)

Kazuo Ikeda, K I; Masaki Matsuda, M M; Daisuke Yamauchi, D Y; Katsuro Tomita, K T; Shigenori Tanaka, S T

2005-07-01

The purpose of this study is to clarify the reactions of the neuro-muscular junction and nerve cell body to gradual nerve elongation. The sciatic nerves of Japanese white rabbits were lengthened by 30 mm in increments of 0.8 mm/day, 2.0 mm/day and 4.0 mm/day. A scanning electron microscopic examination showed no degenerative change at the neuro-muscular junction, even eight weeks after elongation in the 4-mm group. Hence, neuro-muscular junction is not critical for predicting damage from gradual nerve elongation. There were no axon reaction cells in the 0.8-mm group, a small amount in the 2-mm group, and a large amount in the 4-mm group. The rate of growth associated protein-43 positive nerve cells was significant in the 4-mm group. Hence, the safe speed for nerve cells appeared to be 0.8-mm/day, critical speed to be 2.0-mm/day, and dangerous speed to be 4.0-mm/day in this elongation model.

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

KAUST Repository

Al-Awami, Ali K.; Beyer, Johanna; Strobelt, Hendrik; Kasthuri, Narayanan; Lichtman, Jeff W.; Pfister, Hanspeter; Hadwiger, Markus

2014-01-01

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

KAUST Repository

Al-Awami, Ali K.

2014-12-31

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

Clinical Relevance of Steroid Use in Neuro-Oncology.

Science.gov (United States)

Ly, K Ina; Wen, Patrick Y

2017-01-01

Corticosteroids are commonly used in the management of primary central nervous system (CNS) tumors and CNS metastases to treat cancer- and treatment-related cerebral edema and improve neurologic function. However, they are also associated with significant morbidity and mortality, given their wide range of adverse effects. To review the mechanism of action, pharmacology, and toxicity profile of corticosteroids and to critically appraise the evidence that supports their use in neuro-oncologic practice based on the latest scientific and clinical data. Recent data suggest that corticosteroids may negatively impact survival in glioma patients. In addition, corticosteroids should be incorporated as a standard criterion to assess a patient's clinical and radiographic response to treatment. Corticosteroids should be used judiciously in neuro-oncologic patients, given the potential deleterious effects on clinical outcome and patient survival. Anti-angiogenic agents, which lack these adverse effects, may be a reasonable alternative to corticosteroids.

Educational language planning and linguistic identity

Science.gov (United States)

Sutton, Peter

1991-03-01

There are cases in which a "high" form of a language is taught and used in formal situations, but linguistic variation is also caused by geography, ethnicity and socioeconomic class. Certain variants are regarded as inferior and restricted in expressive capacity, and are disadvantageous. The paper suggests that it is possible to map each person's linguistic identity in two dimensions: the number of languages spoken, and the situation-specific variants of each language. Further, it is argued that the distance between a "low" variant and a "high" standard form of a language may present to the "low" learner of a standardized mother tongue a barrier just as great as that posed by the learning of a related foreign language to a speaker of the high variant. It is proposed that greater tolerance be exercised in acceptance of variation and in recognition of linguistic identity, so that this can be built on in the necessary and desirable expansion of linguistic competence, rather than being devalued. The relevance of the communicative approach to language teaching is touched on.

The Use of Systemic-Functional Linguistics in Automated Text Mining

Science.gov (United States)

2009-03-01

what degree two or more documents are similar in terms of their meaning. Simply put, such a cognitive model aims to link the physical manifestation...These features, both in terms of frequency and their chaining across a text, were taken as salient stylistic features that had a direct relationship to...because SFL attempts to model these cognitive processes, this has the potential to improve NLP tasks by making them more ’human-like’. Secondly

DESARROLLO DE UN SISTEMA DE NEURO-MERCADOTECNIA USANDO EL DISPOSITIVO EMOTIV-EPOC

OpenAIRE

Luz Ángela Moreno; César Augusto Peña; Oscar Eduardo Gualdron

2014-01-01

Este artículo presenta los avances concebidos en la realización de un sistema de neuro-mercadotecnia. El objetivo del sistema es permitir evaluar las emociones que presentan los televidentes al observar comerciales publicitarios. Se hace uso de la interfaz cerebro-computador Emotiv-EPOC para la adquisición de las neuro-señales. Se describen los algoritmos empleados para el análisis de las pautas publicitarias. Se presentan unas pruebas experimentales donde se comparan los resultados obtenidos...

Neuro-Music Therapy for Recent-Onset Tinnitus

Directory of Open Access Journals (Sweden)

Miriam Grapp

2013-05-01

Full Text Available The aim of this pilot study was the evaluation of the neuro-music therapy approach as a new treatment option for patients with recent-onset tinnitus whose tinnitus symptoms were enduring after initial pharmacological treatment. In all, 15 patients with recent-onset tinnitus took part in our manualized short-term music-therapeutic treatment. Tinnitus severity and individual tinnitus distress were assessed by the German version of the tinnitus questionnaire (TQ and the Attention and Performance Self-Assessment Scale (APSA at three different measurement times: baseline (T0, start of treatment (T1, and end of treatment (T2. Score changes in TQ and APSA from start to end of treatment indicated significant improvements in tinnitus-related distress. According to the Jacobson and Truax reliable change index (RC, 73.3% of the patients showed a reliable reduction in individual TQ-score. The neuro-music therapy for recent-onset tinnitus according to the “Heidelberg Model” introduced in this pilot study seems to provide an effective treatment option for patients with recent-onset tinnitus.

Plenary Speeches: Applied Linguists without Borders

Science.gov (United States)

Tarone, Elaine

2013-01-01

Until 1989, the American Association for Applied Linguistics (AAAL) could have been viewed as an interest group of the Linguistics Society of America (LSA); AAAL met in two designated meeting rooms as a subsection of the LSA conference. In 1991, I was asked to organize the first independent meeting of AAAL in New York City, with the help of…

From Psycho-Economics to Neuro-Economics

OpenAIRE

Bernard WALLISER

2012-01-01

In economics, three nested organizational levels, namely behavioural, mental and neural, can be distinguished. They introduce specific theoretical or observable concepts and suggest their own models for choice making. If psycho-economics relates implemented actions to declared mental states, neuro-economics relates mental states to brain areas. Bridge principles can be defined which link concepts with similar interpretations at two successive levels. Thanks to these principles, relations or e...

Educational Linguistics and College English Syllabus Design

Institute of Scientific and Technical Information of China (English)

LIU Ji-xin

2016-01-01

The direct application of linguistic theories to syllabus design gives rise to frequent change of syllabus type in the histo-ry of syllabus development, which makes language teachers feel difficult to adapt to, to adopt and to implement. The recognition and popularization of the new-born discipline educational linguistics servers as a method to ease the situation, especially in the college English syllabus design in China. The development and application of the fruitful achievements in educational linguis-tics is bound to provide us with a more scientific approach to syllabus design in the future.

Translating Linguistic Jokes for Dubbing

Directory of Open Access Journals (Sweden)

Elena ALEKSANDROVA

2012-01-01

Full Text Available This study has attempted to establish the possible ways of translating linguistic jokes whendubbing. The study is also intended to identify the most problematic cases of screen translation andthe factors which cause these problems. In order to support such an approach a corpus of 7American and British films has been compiled, including as many as 16 as their various dubbingtranslations into Russian. In the films, almost 12 instances of original linguistic jokes have beenidentified.

COGNITIVE METAPHOR IN MODERN LINGUISTICS

Directory of Open Access Journals (Sweden)

Antonina KARTASHOVA

2010-11-01

Full Text Available The article outlines the basic notions connected with cognitive metaphor which has lately undergone a thorough examination. The contribution made by linguists resulted in the rise of cognitive linguistics. This science regards metaphor not as a linguistic phenomenon but as a mental one that establishes connection between language and mind in the form of understanding new notions in terms of notions and categories known due to the previously gained experience. The interaction of new and previous experience can generate three main types of metaphors: structural metaphors which imply the structuring of target domain in terms of source domain, ontological metaphors which view abstract notions as concrete objects with clear outlines and orientational metaphors which represent the ways to fix the experience of spatial orientation. The classification of metaphors complemented with examples is presented below along with some controversial cases of determining the type of metaphor.

Temporal Explorations in Cosmic Consciousness: Intra-Agential Entanglements and the Neuro-Image

Directory of Open Access Journals (Sweden)

Patricia Pisters

2015-11-01

Full Text Available When Deleuze in the 1980s argued that ‘the brain is the screen’ he introduced the concepts of movement-image and time-image, two different modes of cinema with particular ontological and aesthetic characteristics. Contemporary cinema, however, has moved into yet another aesthetic mode, which I have proposed to call the neuro-image. One of the characteristics of the neuro-image is that we no longer follow the movements and actions of characters in a certain space (as in the movement-image, nor see the world coloured through their eyes (as in the time-image, but we (often quite literally experience brain worlds more directly, from within mental landscapes. In this essay I will investigate in which ways these brain worlds aesthetically express an embodied and embedded brain, addressing the new materialist dimensions of the neuro-image in a journey of cosmic cinema and, to speak with Barad, ‘meeting the universe halfway.’

Theoretical and algorithmic advances in multi-parametric programming and control

KAUST Repository

Pistikopoulos, Efstratios N.; Dominguez, Luis; Panos, Christos; Kouramas, Konstantinos; Chinchuluun, Altannar

2012-01-01

This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. © 2012 Springer-Verlag.

Theoretical and algorithmic advances in multi-parametric programming and control

KAUST Repository

Pistikopoulos, Efstratios N.

2012-04-21

This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. © 2012 Springer-Verlag.

Common gene-network signature of different neurological disorders and their potential implications to neuroAIDS.

Directory of Open Access Journals (Sweden)

Vidya Sagar

Full Text Available The neurological complications of AIDS (neuroAIDS during the infection of human immunodeficiency virus (HIV are symptomized by non-specific, multifaceted neurological conditions and therefore, defining a specific diagnosis/treatment mechanism(s for this neuro-complexity at the molecular level remains elusive. Using an in silico based integrated gene network analysis we discovered that HIV infection shares convergent gene networks with each of twelve neurological disorders selected in this study. Importantly, a common gene network was identified among HIV infection, Alzheimer's disease, Parkinson's disease, multiple sclerosis, and age macular degeneration. An mRNA microarray analysis in HIV-infected monocytes showed significant changes in the expression of several genes of this in silico derived common pathway which suggests the possible physiological relevance of this gene-circuit in driving neuroAIDS condition. Further, this unique gene network was compared with another in silico derived novel, convergent gene network which is shared by seven major neurological disorders (Alzheimer's disease, Parkinson's disease, Multiple Sclerosis, Age Macular Degeneration, Amyotrophic Lateral Sclerosis, Vascular Dementia, and Restless Leg Syndrome. These networks differed in their gene circuits; however, in large, they involved innate immunity signaling pathways, which suggests commonalities in the immunological basis of different neuropathogenesis. The common gene circuits reported here can provide a prospective platform to understand how gene-circuits belonging to other neuro-disorders may be convoluted during real-time neuroAIDS condition and it may elucidate the underlying-and so far unknown-genetic overlap between HIV infection and neuroAIDS risk. Also, it may lead to a new paradigm in understanding disease progression, identifying biomarkers, and developing therapies.

A Neuro-Control Design Based on Fuzzy Reinforcement Learning

DEFF Research Database (Denmark)

Katebi, S.D.; Blanke, M.

This paper describes a neuro-control fuzzy critic design procedure based on reinforcement learning. An important component of the proposed intelligent control configuration is the fuzzy credit assignment unit which acts as a critic, and through fuzzy implications provides adjustment mechanisms....... The fuzzy credit assignment unit comprises a fuzzy system with the appropriate fuzzification, knowledge base and defuzzification components. When an external reinforcement signal (a failure signal) is received, sequences of control actions are evaluated and modified by the action applier unit. The desirable...... ones instruct the neuro-control unit to adjust its weights and are simultaneously stored in the memory unit during the training phase. In response to the internal reinforcement signal (set point threshold deviation), the stored information is retrieved by the action applier unit and utilized for re...

The Transition from Animal to Linguistic Communication

NARCIS (Netherlands)

Smit, Harry

2016-01-01

Darwin's theory predicts that linguistic behavior gradually evolved out of animal forms of communication (signaling). However, this prediction is confronted by the conceptual problem that there is an essential difference between signaling and linguistic behavior: using words is a normative practice.

Aspects of conversational style—linguistic versus behavioral analysis

Science.gov (United States)

Hall, Genae A.

1992-01-01

Skinner's functional analysis of verbal behavior has been contrasted with formal linguistic analysis which studies the grammatical structure and “meaning” of verbal response-products, regardless of the circumstances under which they are produced. Nevertheless, it appears that certain areas of linguistic analysis are not entirely structural. In her recent books That's Not What I Meant (1986) and You Just Don't Understand (1990), the linguist Deborah Tannen purports to explain how people exhibit different “conversation styles”—that is, how they speak and achieve effects on listeners in different ways. There are indications, however, that the linguistic model may not be the most functional and precise one that could be used in analyzing conversational style. This paper takes concepts presented in Deborah Tannen's book That's Not What I Meant (1986), analyzes them from a linguistic and a behavioral perspective, and compares the relative utility of the two approaches. PMID:22477048

Citation Analysis and Authorship Patterns of Two Linguistics Journals

Science.gov (United States)

Ezema, Ifeanyi J.; Asogwa, Brendan E.

2014-01-01

This article analyzes the sources cited in articles published in two linguistics journals, "Applied Linguistics and Journal of Linguistics," from 2001 to 2010. A retrospective descriptive study was conducted using bibliometric indicators, such as types of cited sources, timeliness of cited sources, authorship patterns, rank lists of the…

Designing user models in a virtual cave environment

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S. [Argonne National Lab., Idaho Falls, ID (United States); Hudson, R. [Argonne National Lab., IL (United States); Gokhale, N. [Madge Networks, San Jose, CA (United States)

1995-12-31

In this paper, the results of a first study into the use of virtual reality for human factor studies and design of simple and complex models of control systems, components, and processes are described. The objective was to design a model in a virtual environment that would reflect more characteristics of the user`s mental model of a system and fewer of the designer`s. The technology of a CAVE{trademark} virtual environment and the methodology of Neuro Linguistic Programming were employed in this study.

Historical Trajectory of the Quechuan Linguistic Family and its Relations to the Aimaran Linguistic Family

OpenAIRE

Adelaar, Willem

2012-01-01

This article seeks to present the principal stages of the prehistory and history of the Quechuan language family in its interaction with the Aimaran family. It reconstructs a plausible scenario for a unique, intensive process of linguistic convergence that underlies the protolanguages of both families. From there on, it traces the principal developments that characterize the history of the Quechuan linguistic family, such as the initial split in two main branches, Quechua I and Quechua II (fo...

Neuro-ophthalmology update.

Science.gov (United States)

Weber, Konrad P; Straumann, Dominik

2014-07-01

This review summarizes the most relevant articles from the field of neuro-ophthalmology published in the Journal of Neurology from January 2012 to July 2013. With the advent of video-oculography, several articles describe new applications for eye movement recordings as a diagnostic tool for a wide range of disorders. In myasthenia gravis, anti-Kv1.4 and anti-Lrp4 have been characterized as promising novel autoantibodies for the diagnosis of hitherto 'seronegative' myasthenia gravis. Several articles address new diagnostic and therapeutic approaches to neuromyelitis optica, which further sharpen its profile as a distinct entity. Additionally, 4-aminopyridine has become a standard therapeutic for patients with cerebellar downbeat nystagmus. Finally, revised diagnostic criteria have been proposed for chronic relapsing inflammatory optic neuropathy based on a careful literature review over the last decade.

Implicit learning of non-linguistic and linguistic regularities in children with dyslexia.

Science.gov (United States)

Nigro, Luciana; Jiménez-Fernández, Gracia; Simpson, Ian C; Defior, Sylvia

2016-07-01

One of the hallmarks of dyslexia is the failure to automatise written patterns despite repeated exposure to print. Although many explanations have been proposed to explain this problem, researchers have recently begun to explore the possibility that an underlying implicit learning deficit may play a role in dyslexia. This hypothesis has been investigated through non-linguistic tasks exploring implicit learning in a general domain. In this study, we examined the abilities of children with dyslexia to implicitly acquire positional regularities embedded in both non-linguistic and linguistic stimuli. In experiment 1, 42 children (21 with dyslexia and 21 typically developing) were exposed to rule-governed shape sequences; whereas in experiment 2, a new group of 42 children were exposed to rule-governed letter strings. Implicit learning was assessed in both experiments via a forced-choice task. Experiments 1 and 2 showed a similar pattern of results. ANOVA analyses revealed no significant differences between the dyslexic and the typically developing group, indicating that children with dyslexia are not impaired in the acquisition of simple positional regularities, regardless of the nature of the stimuli. However, within group t-tests suggested that children from the dyslexic group could not transfer the underlying positional rules to novel instances as efficiently as typically developing children.

Quality of life research in neuro-oncology: a quantitative comparison.