Tesis sobre el tema "Activation pattern"
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Buettner, Karin, Thomas Kreisig, Norbert Sträter y Thole Züchner. "Protein surface charge of trypsinogen changes its activation pattern". Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-159779.
Texto completoBuettner, Karin, Thomas Kreisig, Norbert Sträter y Thole Züchner. "Protein surface charge of trypsinogen changes its activation pattern". BioMed Central, 2014. https://ul.qucosa.de/id/qucosa%3A13121.
Texto completoLebo, Timothy M. "Guiding object recognition : a shape model with co-activation networks /". Link to online version, 2005. http://hdl.handle.net/1850/993.
Texto completoDoull, Laura Elizabeth. "Inflammasome activation in ruminant cells infected with Chlamydia abortus". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22082.
Texto completoGoede, Dieuwke de. "Verbs in spoken sentence processing: unraveling the activation pattern of the matrix verb". [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/298832666.
Texto completoDoede, Aubrey L. "Electromyographic Analysis of Trunk Muscle Activation During a Throwing Pattern Following Rotator Cuff Mobilization". Scholarship @ Claremont, 2010. http://scholarship.claremont.edu/cmc_theses/90.
Texto completoLei, Andrea. "Inflammasome regulation and activation in the intestinal epithelium". Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:6db34fe2-36ae-44f4-a4ac-2464a333c8f8.
Texto completoFung, Joyce. "The muscle activation and reflex modulation pattern during locomotion in normal and spastic paretic subjects". Thesis, McGill University, 1992. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=39327.
Texto completoMunger, Emily LaRee. "Phenotypic Pattern of Astrocyte Activation in Response to Aging and Alzheimer's-Like Pathology in Chimpanzees". Kent State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=kent1467887282.
Texto completoGeach, Timothy John. "Tolloid metalloproteases implicated in dorsal-ventral pattern and extra-cellular matrix activation in Xenopus laevis". Thesis, University College London (University of London), 2006. http://discovery.ucl.ac.uk/1446246/.
Texto completoLucas, Karen Rae y karen lucas@rmit edu au. "The Effects of Latent Myofascial Trigger Points on Muscle Activation Patterns During Scapular Plane Elevation". RMIT University. Health Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080408.144402.
Texto completoDavenport, Mary Jo. "The Effect of Sternocleidomastoid Muscle Activation Pattern and Feedback Condition on the Vestibular Evoked Myogenic Potential". Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etd/1776.
Texto completoYou, Xiaozhen. "Principal Component Analysis and Assessment of Language Network Activation Patterns in Pediatric Epilepsy". FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/176.
Texto completoBURNS, Jack y jack burns@ecu edu au. "Does training with PowerCranks(tm) affect economy of motion, cycling efficiency, oxygen uptake and muscle activation patterns in trained cyclists?" Edith Cowan University. Computing, Health And Science: School Of Exercise, Biomedical & Health Science, 2008. http://adt.ecu.edu.au/adt-public/adt-ECU2008.0017.html.
Texto completoBurns, Jack. "Does training with PowerCranks™ affect economy of motion, cycling efficiency, oxygen uptake and muscle activation patterns in trained cyclists?" Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2008. https://ro.ecu.edu.au/theses/17.
Texto completoNassar, Khaled [Verfasser]. "Pathogenesis of age related macular degeneration (AMD) : immunohistochemical evaluation of the macrophage activation pattern in human choroidal neovascular membranes / Khaled Nassar". Lübeck : Zentrale Hochschulbibliothek Lübeck, 2011. http://d-nb.info/1013911296/34.
Texto completoHarischandra, Nalin. "Computer Simulation of the Neural Control of Locomotion in the Cat". Licentiate thesis, Stockholm : Numerisk analys och datalogi, Numerical Analysis and Computer Science, Kungliga Tekniska högskolan, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4692.
Texto completoHovorka, Christopher Francis. "Influencing motor behavior through constraint of lower limb movement". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54903.
Texto completoKyle, Natasha Flemming. "Muscle activation patterns during gait initiation". Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27147.
Texto completoTegtmeyer, Pia-Katharina [Verfasser], Ulrich [Akademischer Betreuer] Kalinke y Martin [Akademischer Betreuer] Messerle. "Analysis of the role of different pattern recognition receptors in murine cytomegalovirus-mediated activation of innate immunity / Pia-Katharina Tegtmeyer ; Akademische Betreuer: Ulrich Kalinke, Martin Messerle ; TWINCORE, Zentrum für Experimentelle und Klinische Infektionsforschung; Institut für Experimentelle Infektionsforschung". Hannover : Bibliothek der Medizinischen Hochschule Hannover, 2019. http://d-nb.info/1201598001/34.
Texto completoBalcı, Serdar Kemal. "Classification of whole brain fMRI activation patterns". Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45854.
Texto completoIncludes bibliographical references (p. 59-62).
Functional magnetic resonance imaging (fMRI) is an imaging technology which is primarily used to perform brain activation studies by measuring neural activity in the brain. It is an interesting question whether patterns of activity in the brain as measured by fMRI can be used to predict the cognitive state of a subject. Researchers successfully employed a discriminative approach by training classifiers on fMRI data to predict the mental state of a subject from distributed activation patterns in the brain. In this thesis, we investigate the utility of feature selection methods in improving the prediction accuracy of classifiers trained on functional neuroimaging data. We explore the use of classification methods in the context of an event related functional neuroimaging experiment where participants viewed images of scenes and predicted whether they would remember each scene in a post-scan recognition-memory test. We view the application of our tool to this memory encoding task as a step toward the development of tools that will enhance human learning. We train support vector machines on functional data to predict participants' performance in the recognition test and compare the classifier's performance with participants' subjective predictions. We show that the classifier achieves better than random predictions and the average accuracy is close to that of the subject's own prediction. Our classification method consists of feature extraction, feature selection and classification parts.
(cont.) We employ a feature extraction method based on the general linear model. We use the t-test and an SVM-based feature ranking method for feature selection. We train a weighted linear support vector machine, which imposes different penalties for misclassification of samples in different groups. We validate our tool on a simple motor task where we demonstrate an average prediction accuracy of over 90%. We show that feature selection significantly improves the classification accuracy compared to training the classifier on all features. In addition, the comparison of the results between the motor and the memory encoding task indicates that the classifier performance depends significantly on the complexity of the mental process of interest.
by Serdar Kemal Balcı.
S.M.
Gabriel, David Abraham. "Muscle activation patterns for goal-directed multijoint arm movements". Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28748.
Texto completoTo this end, six subjects performed goal-directed arm movements in the horizontal plane. Two movement amplitudes (300 mm and 400 mm) were completed at a moderate speed (1050 mm/s) and as-fast-as possible. The speed and amplitude conditions were repeated for the 45$ sp circ$ and 90$ sp circ$ movement directions. Finally, each of the movement conditions mentioned thus far, were performed within the right and left sections of the work-space. Surface electro-myographic activity was recorded from the pectoralis major, posterior deltoid, biceps brachii short head, brachioradialis, triceps brachii long head, and triceps brachii lateral head. Motion recordings were obtained with a spatial imaging system that monitored the positions of infrared emitting diodes attached to the subject's upper arm and forearm-hand complex.
Several simplification schemes were found to be operative at the level of the electro-myogram. These include: (a) simple timing relationships for agonists between joints and agonist/antagonist intermuscle latencies within each joint; (b) tightly coupled timing between agonists within a single joint; (c) for a particular movement direction, the form and shape of EMG burst activity followed a strategy associated with modulation of pulse height and width; (d) the slope, duration, and onset were further affected by the direction of hand movement which resulted in the greatest RMS-EMG signal amplitude, changing in a predictable manner, and finally (e) there was tuning in which elbow muscles were activated earlier for goal-directed arm movements in the left area of the work-space.
Lee, Seungyup. "Mapping the Characteristics of Atrial Activation Patterns During Atrial Fibrillation". Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1354634723.
Texto completoSmith, Nigel Anthony. "Oxygen consumption and muscle activation patterns during constant load exercise". Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36769/1/36769_Digitised%20Thesis.pdf.
Texto completoKelson, Denean M. "Muscle Activation Patterns and Chronic Neck-Shoulder Pain in Computer Work". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83759.
Texto completoMaster of Science
This study aims to assess the reliability of exposure variation analysis (EVA) to measure variation in trapezius muscle activity in healthy individuals during the performance of computer work, and to determine the extent to which healthy subjects differ from those with chronic pain in trapezius muscle activity patterns during computer work, measured using EVA. Muscle activation was recorded for eight healthy individual and five suffering from chronic neck-shoulder pain. The data were then categorized into amplitude and continuous time categories, and summary measures of resulting distributions were calculated. These measures were used to assess the reliability of participant responses to computer work of healthy individuals, as well as quantify differences between those with and without chronic pain. We found that individuals with pain activated their neck-shoulder muscles for longer continuous durations than healthy individuals, thus showing an inability to relax their muscles when performing work.
JAMES, LINDSAY R. "AN fMRI STUDY OF ACTIVATION PATTERNS IN WOMEN DURING PICTURE PROCESSING". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1179411457.
Texto completoGuillem, Sanchez Maria De La Salud. "Activation patterns in atrial fibrillation: contributions of body surface potential mapping". Doctoral thesis, Universitat Politècnica de València, 2009. http://hdl.handle.net/10251/3922.
Texto completoGuillem Sanchez, MDLS. (2008). Activation patterns in atrial fibrillation: contributions of body surface potential mapping [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/3922
Palancia
NGUYEN, CHRISTIE JENNY. "ACTIVATION PATTERNS OF THE IEG ARC IN RATS FOLLOWING ELECTROCONVULSIVE SHOCK TREATMENTS". Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613350.
Texto completoZanghieri, Marcello. "sEMG-based hand gesture recognition with deep learning". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18112/.
Texto completoLockhart, Daniel Bruce. "Prediction of Muscle Activation Patterns During Postural Control Using a Feedback Control Model". Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7280.
Texto completoStone, T. A. "Characteristics of muscle activation patterns at the ankle in stroke patients during walking". Thesis, Bournemouth University, 2006. http://eprints.bournemouth.ac.uk/10537/.
Texto completoSohn, Mark Hongchul. "A computational framework to quantify neuromechanical constraints in selecting functional muscle activation patterns". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53591.
Texto completoReed, Darren Scott. "An electromyographic study of normal shoulder muscle activation patterns during abduction and adduction". Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11573.
Texto completoGarcía, López Diego. "Computational Modeling to Explore Unconventional Reactivity Patterns in C−H Activation and Boron Chemistry". Doctoral thesis, Universitat Rovira i Virgili, 2018. http://hdl.handle.net/10803/586092.
Texto completoLa química computacional resulta indispensable hoy en día dado que puede proporcionar una visión más profunda de los procesos moleculares. Esta tesis se divide en dos partes, la primera de las cuales trata la activación de enlaces C−H inertes por parte de metales de transición pobres y ricos en electrones. Respecto al primer caso, se determinó computacionalmente el mecanismo de activación C−H remota observado en complejos dinucleares de titanio. Tal mecanismo genera un alquilideno transitorio capaz de potenciar la activación de los enlaces C(sp3)−H en el titanio adyacente. Respecto al segundo caso, se caracterizó la naturaleza de un enlace (an)agóstico de Ni−(C[Ar]−H) observado en estado sólido por medio de la topología de la densidad electrónica. La segunda parte de este trabajo se centra en la química del boro. En búsqueda de un modelo predictivo, se desarrollaron relaciones cuantitativas estructura-actividad (QSAR) para la actividad nucleófila de compuestos de boro trivalentes, cubriendo fragmentos borílicos de metales alcalinos, alcalino-térreos, de transición, así como unidades de diboro. Se llevaron a cabo técnicas de regresión multivariante para determinar una relación cuantitativa entre las propiedades del estado fundamental y dicha actividad nucleófila. El uso de descriptores químicamente significativos permitió la identificación de los factores que rigen la nucleofilia y el modelo QSAR se usó para hacer predicciones a priori. También se estudiaron reacciones no convencionales de boro a moléculas orgánicas insaturadas. En un caso, se racionalizó la formación de enlaces geminales C–Bpin y C–Bdan mediante cálculos DFT, mostrando un mecanismo concertado También se estudiaron reacciones no convencionales de boro a moléculas orgánicas insaturadas. En un caso, se racionalizó la formación de enlaces geminales C-Bpin y C-Bdan mediante cálculos DFT, mostrando un mecanismo concertado aunque asincrónico y alcanzando diastereoselctividad para sustratos cíclicos. Por otro lado, los cálculos teóricos dilucidaron la regio y estereoselectividad observada en la anti-3,4-selenoboración a triples enlaces usando cantidades catalíticas de fosfina. El estudio computacional descubrió un nuevo mecanismo que difiere de las propuestas mecanísticas previas para las análogas carboboración, silaboración y diboración selectivas.
Computational chemistry turns out to be indispensable nowadays since it can provide deeper insights to molecular processes. This thesis can be divided in two parts, the first of which deals with the activation of inert C−H bonds by early- and late-transition-metal systems. Regarding the former case, computationally the mechanism of remote C−H activation observed on titanium dinuclear complexes was determined. Such mechanism generates a transient titanium alkylidene capable of enhancing the activation of C(sp3)−H bonds on the adjacent titanium center. Concerning in late-transition-metal systems, the nature of a rare (an)agostic Ni−(C[Ar]−H) bond observed in solid state was characterized by means of the topology of the electronic density. The second part of this work focuses on boron chemistry. Seeking for a predictive model, a quantitative structure-activity relationships (QSAR) for the nucleophilic activity of trivalent boron compounds was developed, covering boryl fragments bonded to alkali and alkaline-earth metals, to transition metals, and to sp3 boron units in diboron reagents. Multivariate regression techniques were carried out for determining a quantitative relationship between ground-state properties and nucleophilic activity. The use of chemically meaningful descriptors allowed identification of the factors governing the boron nucleophilicity. Also, the QSAR model was used to make a priori predictions of experimentally untested compounds. Unconventional boron reactions to unsatured organic molecules were studied as well. In one case, the formation of two geminal C–Bpin and C–Bdan bonds was rationalised based on DFT calculations to occur via a concerted yet asynchronous mechanism, attaining diastereoselctivity for cyclic substrates. On the other hand, theoretical calculations rationalized the observed regio- and stereoselectivity of the anti-3,4-selenoboration to triple bonds using catalytic amounts of phosphine. The computational study discovered a novel mechanism which differs from previous mechanistic proposals for analogous anti-selective carboration, silaboration and diboration.
Koenig, Alexander C. "Simulation of agonist and antagonist muscle activation patterns in bidirectional postural perturbation in cats". Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11576.
Texto completoPoon, Wai Ming y n/a. "Gait analysis of lumbar muscle activation patterns during constant speed locomotion using Surface Electromyography". RMIT University. Electrical and Computer System Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090713.115553.
Texto completoVries, Paulien Maria de. "Cervical dystonia abnormal cerebral activation patterns related to preparation and execution of hand movement /". [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2008. http://irs.ub.rig.nl/ppn/.
Texto completoLee, Jae-Min. "Characterization of spatial and temporal brain activation patterns in functional magnetic resonance imaging data". [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0013024.
Texto completoNewmark, Jordan A. "Sex Differences in Orexin Activation Patterns of Fear-Cue Induced Inhibition of Eating in Rats". Thesis, Boston College, 2013. http://hdl.handle.net/2345/bc-ir:104427.
Texto completoThesis advisor: Christina Reppucci
In order to understand the neurobiological basis for the phenomenon in which environmental cues override physiological cues to influence the behavioral control of feeding, we utilized an animal model for fear-cue induced inhibition of eating. Female rats that had learned to associate a tone with foot-shocks showed inhibition of eating across three extinction tests, whereas male rats that had received tone-shock pairings extinguished their inhibition of eating after the first test day. We assessed activation of orexin (ORX), a neuropeptide involved in eating and arousal, in the lateral hypothalamic area (LHA) of the brains of male and female control and experimental rats during the final test day. Female rats exhibited greater recruitment of ORX neurons in the LHA than male rats; there was no difference in ORX activation between control and experimental groups of either sex, indicating that ORX is involved in sex differences in fear-cue induced inhibition of eating
Thesis (BS) — Boston College, 2013
Submitted to: Boston College. College of Arts and Sciences
Discipline: College Honors Program
Discipline: Psychology
Baird, Brenda Ratcliff. "EEG activation patterns in the frontal lobes of stutterers and nonstutterers during working memory tasks". Diss., Virginia Tech, 1996. http://hdl.handle.net/10919/40327.
Texto completoPh. D.
Macrum, Elisabeth Corliss Padua Darin A. "The relationship between dorsiflexion range of motion and lower extremity movement patterns and muscle activation". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1882.
Texto completoTitle from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Master of Art in the Department of Exercise & Sport Science in the College of Arts & Sciences." Discipline: Exercise and Sports Science; Department/School: Exercise and Sport Science.
Anderson, JoAnna Todd. "Characterization of a sacral dorsal column pathway activating autonomic and hindlimb motor pattern generation". Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42849.
Texto completoCrook, Tracy. "The functional anatomy of equine hind limb muscles and their activation patterns during different locomotor tasks". Thesis, Royal Veterinary College (University of London), 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572457.
Texto completoBigham, Heather Jean. "Sex Differences in Lower Limb Muscle Activation Patterns in Participants with Knee Osteoarthritis and Healthy Controls". Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32377.
Texto completoManeshi, Anali. "The effects of the menstrual cycle on muscle activation patterns and fuel utilization in cold exposure". Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28413.
Texto completoSchramek, Tania Elaine. "Changes in brain activation patterns as a function of pharmacologically lowered glucocorticoid levels : a preliminary study". Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98794.
Texto completoLischinsky, Julieta E. "Embryonic Transcription Factor Expression Predicts Neuronal Identity and Innate Behavioral Activation Patterns in the Limbic System". Thesis, The George Washington University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10263849.
Texto completoInstinctive behaviors such as mating and aggression are key for the survival and propagation of species. As innate behaviors manifest without prior training, there must be embryonic genetic mechanisms that specify these innate behavioral circuits. Focusing on the MeA and hypothalamus, both major integration centers of olfactory inputs, first, we sought to elucidate the link between embryonic transcription factor expression, neuronal identity and innate behavioral activation patterns in the MeA, and second, the link between embryonic transcription factor expression and instinctive behavioral activation patterns in hypothalamic subnuclei. Using mice as a model organism, we observed that the MeA progenitor niche in the preoptic area (POA) is comprised of distinct progenitor populations differentially marked by the transcription factors Dbx1 and Foxp2. Both embryonically and postnatally, Dbx1-derived and Foxp2+ subpopulations remain spatially segregated. We also observed that Dbx1-derived and Foxp2+ neurons differentially express sets of sex-steroid pathway proteins. Furthermore, both subpopulations differed in their intrinsic and extrinsic electrophysiological properties. Additionally, behavioral activation patterns were investigated in both subpopulations by determining the co-expression of the immediate early gene c-fos, an indirect marker of neuronal activity. During aggressive encounters, both Dbx1-derived and Foxp2+ neurons were activated in male and female mice; however, during mating cues, Dbx1-derived neurons in male and female mice were activated while only Foxp2+ neurons in male mice were activated and not in female mice. This denotes sex-specific differences in behavioral activation patterns in the MeA. Thus, parcellation of MeA neuronal subpopulations based on developmental genetics predicts molecular, electrophysiological, and behavioral specificity. Secondly, we were interested in determining whether embryonic transcription factor expression would be predictive of innate behavioral activation patterns in other limbic system structures implicated in the generation of innate behaviors such as the hypothalamus. Interestingly, we observed the presence of Dbx1-derived neurons in the lateral (LH), arcuate (Arc) and ventromedial (VMH) hypothalamic subnuclei. As Foxp2+ neurons are not present in the hypothalamus, we only analyzed Dbx1-derived neurons in these three hypothalamic regions. We show that Dbx1-derived neurons are activated in these structures during mating and aggression in both male and female mice. Thus, embryonic transcription factor expression in the hypothalamus is also linked to postnatal behavioral activation patterns. Taken together our findings indicate that embryonic transcription factor expression is predictive of behavioral activation patterns in the limbic system. We found that progenitor populations present in the same region but expressing distinct transcription factors, can generate MeA postnatal diversity based on molecular, electrophysiological and behavioral activation patterns. Furthermore, this can be generalized to other limbic system structures such as the hypothalamus, in which embryonic transcription factor expression of Dbx1 is also predictive of activation patterns during instinctive behavioral cues.
Irving, Stephanie [Verfasser] y Andreas [Akademischer Betreuer] Zwergal. "Gaze behaviour and brain activation patterns during real-space navigation in hippocampal dysfunction / Stephanie Irving ; Betreuer: Andreas Zwergal". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1198111895/34.
Texto completoWelch, Torrence David Jesse. "A feedback model for the evaluation of the adaptive changes to temporal muscle activation patterns following postural disturbance". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/29674.
Texto completoCommittee Chair: Ting, Lena; Committee Member: Chang, Young-Hui; Committee Member: Nichols, T. Richard; Committee Member: Schumacher, Eric; Committee Member: Thoroughman, Kurt. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Hartzheim, Daphne U. "Comparison of Neurological Activation Patterns of Children with and without Autism Spectrum Disorders when Verbally Responding to a Pragmatic Task". DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4497.
Texto completo