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https://www.readbyqxmd.com/read/28213134/speech-in-noise-perception-in-musicians-a-review
#1
REVIEW
Emily B J Coffey, Nicolette Mogilever, Robert J Zatorre
The ability to understand speech in the presence of competing sound sources is an important neuroscience question in terms of how the nervous system solves this computational problem. It is also a critical clinical problem that disproportionally affects the elderly, children with language-related learning disorders, and those with hearing loss. Recent evidence that musicians have an advantage on this multifaceted skill has led to the suggestion that musical training might be used to improve or delay the decline of speech-in-noise (SIN) function...
February 14, 2017: Hearing Research
https://www.readbyqxmd.com/read/28209197/accuracy-and-generalizability-of-using-automated-methods-for-identifying-adverse-events-from-electronic-health-record-data-a-validation-study-protocol
#2
Christian M Rochefort, David L Buckeridge, Andréanne Tanguay, Alain Biron, Frédérick D'Aragon, Shengrui Wang, Benoit Gallix, Louis Valiquette, Li-Anne Audet, Todd C Lee, Dev Jayaraman, Bruno Petrucci, Patricia Lefebvre
BACKGROUND: Adverse events (AEs) in acute care hospitals are frequent and associated with significant morbidity, mortality, and costs. Measuring AEs is necessary for quality improvement and benchmarking purposes, but current detection methods lack in accuracy, efficiency, and generalizability. The growing availability of electronic health records (EHR) and the development of natural language processing techniques for encoding narrative data offer an opportunity to develop potentially better methods...
February 16, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28207397/stacked-learning-to-search-for-scene-labeling
#3
Feiyang Cheng, Xuming He, Hong Zhang
Search-based structured prediction methods have shown promising successes in both computer vision and natural language processing recently. However, most existing search-based approaches lead to a complex multi-stage learning process, which is ill-suited for scene labeling problems with a high-dimensional output space. In this paper, a stacked learning to search method is proposed to address scene labeling tasks. We design a simplified search process consisting of a sequence of ranking functions, which are learned based on a stacked learning strategy to prevent over-fitting...
February 13, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28203249/autism-spectrum-disorder-detection-from-semi-structured-and-unstructured-medical-data
#4
Jianbo Yuan, Chester Holtz, Tristram Smith, Jiebo Luo
Autism spectrum disorder (ASD) is a developmental disorder that significantly impairs patients' ability to perform normal social interaction and communication. Moreover, the diagnosis procedure of ASD is highly time-consuming, labor-intensive, and requires extensive expertise. Although there exists no known cure for ASD, there is consensus among clinicians regarding the importance of early intervention for the recovery of ASD patients. Therefore, to benefit autism patients by enhancing their access to treatments such as early intervention, we aim to develop a robust machine learning-based system for autism detection by using Natural Language Processing techniques based on information extracted from medical forms of potential ASD patients...
December 2017: EURASIP Journal on Bioinformatics & Systems Biology
https://www.readbyqxmd.com/read/28198108/formulaic-sequences-as-a-regulatory-mechanism-for-cognitive-perturbations-during-the-achievement-of-social-goals
#5
Alison Wray
This paper explores two questions central to understanding the nature of formulaic sequences: (1) What are they for? and (2) What determines how many there are? The "Communicative Impact" model draws into a single account how language is shaped by cognitive processing on the one hand and socio-interactional function on the other: Formulaic sequences play a range of coordinated roles in neutralizing unanticipated perturbations in the cognitive management of language, so the speaker's socio-interactional goals can still be achieved...
February 15, 2017: Topics in Cognitive Science
https://www.readbyqxmd.com/read/28190914/neuroanatomy-of-handwriting-and-related-reading-and-writing-skills-in-adults-and-children-with-and-without-learning-disabilities-french-american-connections
#6
Marieke Longcamp, Todd L Richards, Jean-Luc Velay, Virginia W Berninger
In this article, we present recent neuroimaging studies performed to identify the neural network involved in handwriting. These studies, carried out in adults and in children, suggest that the mastery of handwriting is based on the involvement of a network of brain structures whose involvement and inter-connection are specific to writing alphabet characters. This network is built upon the joint learning of writing and reading and depends on the level of expertise of the writer. In addition, a part of this graphomotor network is also brought into play during the identification letters during visual reading...
December 2016: Pratiques
https://www.readbyqxmd.com/read/28180072/the-diminishing-dominance-of-the-dominant-hemisphere-language-fmri-in-focal-epilepsy
#7
Chris Tailby, David F Abbott, Graeme D Jackson
"Which is the dominant hemisphere?" is a question that arises frequently in patients considered for neurosurgery. The concept of the dominant hemisphere implies uniformity of language lateralisation throughout the brain. It is increasingly recognised that this is not the case in the healthy control brain, and it is especially not so in neurological diseases such as epilepsy. In the present work we adapt our published objective lateralisation method (based on the construction of laterality curves) for use with sub-lobar cortical, subcortical and cerebellar regions of interest (ROIs)...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28174545/categorization-of-natural-whistled-vowels-by-na%C3%A3-ve-listeners-of-different-language-background
#8
Julien Meyer, Laure Dentel, Fanny Meunier
Whistled speech in a non-tonal language consists of the natural emulation of vocalic and consonantal qualities in a simple modulated whistled signal. This special speech register represents a natural telecommunication system that enables high levels of sentence intelligibility by trained speakers and is not directly intelligible to naïve listeners. Yet, it is easily learned by speakers of the language that is being whistled, as attested by the current efforts of the revitalization of whistled Spanish in the Canary Islands...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28167120/switching-direction-affects-switching-costs-behavioral-erp-and-time-frequency-analyses-of-intra-sentential-codeswitching
#9
Kaitlyn A Litcofsky, Janet G van Hell
Bilinguals have the unique ability to produce utterances that switch between languages. Most language switching research has focused on isolated, unrelated items, which emphasizes separation of the languages. Fewer studies examined the cognitive and neural mechanisms of switching languages in natural discourse. The present study examined the effect of codeswitching direction on the comprehension of intra-sentential codeswitching in Spanish-English bilinguals, using self-paced reading behavioral measurements (Experiment 1) and electroencephalography (EEG) measurements (Experiment 2), analyzed via both event-related potentials (ERPs) and time-frequency analysis (TFR)...
February 3, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28163196/extraction-of-left-ventricular-ejection-fraction-information-from-various-types-of-clinical-reports
#10
Youngjun Kim, Jennifer H Garvin, Mary K Goldstein, Tammy S Hwang, Andrew Redd, Dan Bolton, Paul A Heidenreich, Stéphane M Meystre
Efforts to improve the treatment of congestive heart failure, a common and serious medical condition, include the use of quality measures to assess guideline-concordant care. The goal of this study is to identify left ventricular ejection fraction (LVEF) information from various types of clinical notes, and to then use this information for heart failure quality measurement. We analyzed the annotation differences between a new corpus of clinical notes from the Echocardiography, Radiology, and Text Integrated Utility package and other corpora annotated for natural language processing (NLP) research in the Department of Veterans Affairs...
February 2, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28160385/processing-binary-and-fuzzy-logic-by-chaotic-time-series-generated-by-a-hydrodynamic-photochemical-oscillator
#11
Pier Luigi Gentili, Maria Sole Giubila, B Mark Heron
This work demonstrates the computational power of a hydrodynamic photochemical oscillator based on a photochromic naphthopyran, generating aperiodic time series. The chaotic character of the time series is tested by calculating its largest Lyapunov exponent and the correlation dimension of its attractor after building its phase space through the Takens' theorem. Then, the chaotic dynamic is shown to be suitable to implement all the fundamental Boolean two-inputs-one-output logic gates. Finally, the strategy to implement Fuzzy logic systems (FLSs) based on the time series is described...
February 3, 2017: Chemphyschem: a European Journal of Chemical Physics and Physical Chemistry
https://www.readbyqxmd.com/read/28158972/midcor-an-r-program-for-deciphering-mass-interferences-in-mass-spectra-of-metabolites-enriched-in-stable-isotopes
#12
Vitaly A Selivanov, Adrián Benito, Anibal Miranda, Esther Aguilar, Ibrahim Halil Polat, Josep J Centelles, Anusha Jayaraman, Paul W N Lee, Silvia Marin, Marta Cascante
BACKGROUND: Tracing stable isotopes, such as (13)C using various mass spectrometry (MS) methods provides a valuable information necessary for the study of biochemical processes in cells. However, extracting such information requires special care, such as a correction for naturally occurring isotopes, or overlapping mass spectra of various components of the cell culture medium. Developing a method for a correction of overlapping peaks is the primary objective of this study. RESULTS: Our computer program-MIDcor (free at https://github...
February 3, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28155671/identifying-the-missing-proteins-in-human-proteome-by-biological-language-model
#13
Qiwen Dong, Kai Wang, Xuan Liu
BACKGROUND: With the rapid development of high-throughput sequencing technology, the proteomics research becomes a trendy field in the post genomics era. It is necessary to identify all the native-encoding protein sequences for further function and pathway analysis. Toward that end, the Human Proteome Organization lunched the Human Protein Project in 2011. However many proteins are hard to be detected by experiment methods, which becomes one of the bottleneck in Human Proteome Project...
December 23, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28152842/measuring-adherence-to-a-choosing-wisely-recommendation-in-a-regional-oncology-clinic
#14
Gary H Lyman, Karma L Kreizenbeck, Catherine R Fedorenko, April Alfiler, Heather Noble, Tracy Kusnir-Wong, Ada Mohedano, F Marc Stewart, Benjamin E Greer, Scott David Ramsey
: 196 Background: Natural language processing (NLP) has the potential to significantly ease the burden of manual abstraction of unstructured electronic text when measuring adherence to national guidelines. We incorporated NLP into standard data processing techniques such as manual abstraction and database queries in order to more efficiently evaluate a regional oncology clinic's adherence to ASCO's Choosing Wisely colony stimulating factor (CSF) recommendation using clinical, billing, and cancer registry data...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28148472/using-social-listening-data-to-monitor-misuse-and-nonmedical-use-of-bupropion-a-content-analysis
#15
Laurie S Anderson, Heidi G Bell, Michael Gilbert, Julie E Davidson, Christina Winter, Monica J Barratt, Beta Win, Jeffery L Painter, Christopher Menone, Jonathan Sayegh, Nabarun Dasgupta
BACKGROUND: The nonmedical use of pharmaceutical products has become a significant public health concern. Traditionally, the evaluation of nonmedical use has focused on controlled substances with addiction risk. Currently, there is no effective means of evaluating the nonmedical use of noncontrolled antidepressants. OBJECTIVE: Social listening, in the context of public health sometimes called infodemiology or infoveillance, is the process of identifying and assessing what is being said about a company, product, brand, or individual, within forms of electronic interactive media...
1, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28140627/performance-of-a-machine-learning-classifier-of-knee-mri-reports-in-two-large-academic-radiology-practices-a-tool-to-estimate-diagnostic-yield
#16
Saeed Hassanpour, Curtis P Langlotz, Timothy J Amrhein, Nicholas T Befera, Matthew P Lungren
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices. MATERIALS AND METHODS: An NLP system that uses terms and patterns in manually classified narrative knee MRI reports was constructed. The NLP system was trained and tested on expert-classified knee MRI reports from two major health care organizations...
January 31, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28120320/culture-and-biology-in-the-origins-of-linguistic-structure
#17
Simon Kirby
Language is systematically structured at all levels of description, arguably setting it apart from all other instances of communication in nature. In this article, I survey work over the last 20 years that emphasises the contributions of individual learning, cultural transmission, and biological evolution to explaining the structural design features of language. These 3 complex adaptive systems exist in a network of interactions: individual learning biases shape the dynamics of cultural evolution; universal features of linguistic structure arise from this cultural process and form the ultimate linguistic phenotype; the nature of this phenotype affects the fitness landscape for the biological evolution of the language faculty; and in turn this determines individuals' learning bias...
January 24, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28118370/sequence-memory-constraints-give-rise-to-language-like-structure-through-iterated-learning
#18
Hannah Cornish, Rick Dale, Simon Kirby, Morten H Christiansen
Human language is composed of sequences of reusable elements. The origins of the sequential structure of language is a hotly debated topic in evolutionary linguistics. In this paper, we show that sets of sequences with language-like statistical properties can emerge from a process of cultural evolution under pressure from chunk-based memory constraints. We employ a novel experimental task that is non-linguistic and non-communicative in nature, in which participants are trained on and later asked to recall a set of sequences one-by-one...
2017: PloS One
https://www.readbyqxmd.com/read/28116701/an-eye-movement-corpus-study-of-the-age-of-acquisition-effect
#19
Nicolas Dirix, Wouter Duyck
In the present study, we investigated the effects of word-level age of acquisition (AoA) on natural reading. Previous studies, using multiple language modalities, showed that earlier-learned words are recognized, read, spoken, and responded to faster than words learned later in life. Until now, in visual word recognition the experimental materials were limited to single-word or sentence studies. We analyzed the data of the Ghent Eye-tracking Corpus (GECO; Cop, Dirix, Drieghe, & Duyck, in press), an eyetracking corpus of participants reading an entire novel, resulting in the first eye movement megastudy of AoA effects in natural reading...
January 23, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/28113882/cross-domain-recognition-by-identifying-joint-subspaces-of-source-domain-and-target-domain
#20
Yuewei Lin, Jing Chen, Yu Cao, Youjie Zhou, Lingfeng Zhang, Yuan Yan Tang, Song Wang
This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all classes between the source and target domains, the proposed method is more flexible to capture individual class variations across domains. By adopting a natural and widely used assumption that the data samples from the same class should lay on an intrinsic low-dimensional subspace, even if they come from different domains, the proposed method circumvents the limitation of the global domain shift, and solves the cross-domain recognition by finding the joint subspaces of the source and target domains...
March 21, 2016: IEEE Transactions on Cybernetics
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