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https://www.readbyqxmd.com/read/29329456/designing-and-evaluating-an-automated-system-for-real-time-medication-administration-error-detection-in-a-neonatal-intensive-care-unit
#1
Yizhao Ni, Todd Lingren, Eric S Hall, Matthew Leonard, Kristin Melton, Eric S Kirkendall
Background: Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows. Methods: Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children's Hospital Medical Center during a 4-month period...
January 10, 2018: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29324074/synchronization-of-electrophysiological-responses-with-speech-benefits-syntactic-information-processing
#2
Lars Meyer, Matthias Gumbert
In auditory neuroscience, electrophysiological synchronization to low-level acoustic and high-level linguistic features is well established-but its functional purpose for verbal information transmission is unclear. Based on prior evidence for a dependence of auditory task performance on delta-band oscillatory phase, we hypothesized that the synchronization of electrophysiological responses at delta-band frequency to the speech stimulus serves to implicitly align neural excitability with syntactic information...
January 11, 2018: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/29321958/diagnostic-value-of-strand-specific-mirna-101-3p-and-mirna-101-5p-for-hepatocellular-carcinoma-and-a-bioinformatic-analysis-of-their-possible-mechanism-of-action
#3
Xia Yang, Yu-Yan Pang, Rong-Quan He, Peng Lin, Jie-Mei Cen, Hong Yang, Jie Ma, Gang Chen
There is accumulating evidence that miRNA might serve as potential diagnostic and prognostic markers for various types of cancer. Hepatocellular carcinoma (HCC) is the most common type of malignant lesion but the significance of miRNAs in HCC remains largely unknown. The present study aimed to establish the diagnostic value of miR-101-3p/5p in HCC and then further investigate the prospective molecular mechanism via a bioinformatic analysis. First, the miR-101 expression profiles and parallel clinical parameters from 362 HCC patients and 50 adjacent non-HCC tissue samples were downloaded from The Cancer Genome Atlas (TCGA)...
January 2018: FEBS Open Bio
https://www.readbyqxmd.com/read/29321532/neural-measures-of-the-role-of-affective-prosody-in-empathy-for-pain
#4
Federica Meconi, Mattia Doro, Arianna Schiano Lomoriello, Giulia Mastrella, Paola Sessa
Emotional communication often needs the integration of affective prosodic and semantic components from speech and the speaker's facial expression. Affective prosody may have a special role by virtue of its dual-nature; pre-verbal on one side and accompanying semantic content on the other. This consideration led us to hypothesize that it could act transversely, encompassing a wide temporal window involving the processing of facial expressions and semantic content expressed by the speaker. This would allow powerful communication in contexts of potential urgency such as witnessing the speaker's physical pain...
January 10, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29321266/optimization-based-synthesis-of-stochastic-biocircuits-with-statistical-specifications
#5
Yuta Sakurai, Yutaka Hori
Model-guided design has become a standard approach to engineering biomolecular circuits in synthetic biology. However, the stochastic nature of biomolecular reactions is often overlooked in the design process. As a result, cell-cell heterogeneity causes unexpected deviation of biocircuit behaviours from model predictions and requires additional iterations of design-build-test cycles. To enhance the design process of stochastic biocircuits, this paper presents a computational framework to systematically specify the level of intrinsic noise using well-defined metrics of statistics and design highly heterogeneous biocircuits based on the specifications...
January 2018: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/29317003/identification-of-heterogeneous-cognitive-subgroups-in-community-dwelling-older-adults-a-latent-class-analysis-of-the-einstein-aging-study
#6
Andrea R Zammit, Charles B Hall, Richard B Lipton, Mindy J Katz, Graciela Muniz-Terrera
OBJECTIVES: The aim of this study was to identify natural subgroups of older adults based on cognitive performance, and to establish each subgroup's characteristics based on demographic factors, physical function, psychosocial well-being, and comorbidity. METHODS: We applied latent class (LC) modeling to identify subgroups in baseline assessments of 1345 Einstein Aging Study (EAS) participants free of dementia. The EAS is a community-dwelling cohort study of 70+ year-old adults living in the Bronx, NY...
January 10, 2018: Journal of the International Neuropsychological Society: JINS
https://www.readbyqxmd.com/read/29311050/detecting-novel-and-emerging-drug-terms-using-natural-language-processing-a-social-media-corpus-study
#7
Sean S Simpson, Nikki Adams, Claudia M Brugman, Thomas J Conners
BACKGROUND: With the rapid development of new psychoactive substances (NPS) and changes in the use of more traditional drugs, it is increasingly difficult for researchers and public health practitioners to keep up with emerging drugs and drug terms. Substance use surveys and diagnostic tools need to be able to ask about substances using the terms that drug users themselves are likely to be using. Analyses of social media may offer new ways for researchers to uncover and track changes in drug terms in near real time...
January 8, 2018: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/29309523/protein-classification-using-modified-n-grams-and-skip-grams
#8
S M Ashiqul Islam, Benjamin J Heil, Christopher Michel Kearney, Erich J Baker
Motivation: Classification by supervised machine learning greatly facilitates the annotation of protein characteristics from their primary sequence. However, the feature generation step in this process requires detailed knowledge of attributes used to classify the proteins. Lack of this knowledge risks the selection of irrelevant features, resulting in a faulty model. In this study, we introduce a supervised protein classification method with a novel means of automating the work-intensive feature generation step via a Natural Language Processing (NLP)-dependent model, using a modified combination of n-grams and skip-grams (m- NGSG)...
December 22, 2017: Bioinformatics
https://www.readbyqxmd.com/read/29306284/nonadiabatic-electron-wavepacket-dynamics-behind-molecular-autoionization
#9
Takahide Matsuoka, Kazuo Takatsuka
A theoretical method for real-time dynamics of nonadiabatic reorganization of electronic configurations in molecules is developed, with dual aim that the intramolecular electron dynamics can be probed by means of direct and/or indirect photoionizations and that the physical origins behind photoionization signals attained in the time domain can be identified in terms of the language of time-dependent quantum chemistry. In doing so, we first formulate and implement a new computational scheme for nonadiabatic electron dynamics associated with molecular ionization, which well fits in the general theory of nonadiabatic electron dynamics...
January 7, 2018: Journal of Chemical Physics
https://www.readbyqxmd.com/read/29305875/neural-discrimination-of-speech-sound-changes-in-a-variable-context-occurs-irrespective-of-attention-and-explicit-awareness
#10
P Virtala, E Partanen, M Tervaniemi, T Kujala
To process complex stimuli like language, our auditory system must tolerate large acoustic variance, like speaker variability, and still be sensitive enough to discriminate between phonemes and to detect complex sound relationships in, e.g., prosodic cues. Our study determined discrimination of speech sounds in input mimicking natural speech variability, and detection of deviations in regular pitch relationships (rule violations) between speech sounds. We investigated the automaticity and the influence of attention and explicit awareness on these changes by recording the neurophysiological mismatch negativity (MMN) and P3a as well as task performance from 21 adults...
January 3, 2018: Biological Psychology
https://www.readbyqxmd.com/read/29304788/analyzing-hidden-populations-online-topic-emotion-and-social-network-of-hiv-related-users-in-the-largest-chinese-online-community
#11
Chuchu Liu, Xin Lu
BACKGROUND: Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. The rapid increase of online communities, of which members interact with others via the Internet, have generated large amounts of data, offering new opportunities for understanding hidden populations with unprecedented sample sizes and richness of information. In this study, we try to understand the multidimensional characteristics of a hidden population by analyzing the massive data generated in the online community...
January 5, 2018: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/29303160/a-modeling-and-simulation-language-for-biological-cells-with-coupled-mechanical-and-chemical-processes
#12
Endre Somogyi, James A Glazier
Biological cells are the prototypical example of active matter. Cells sense and respond to mechanical, chemical and electrical environmental stimuli with a range of behaviors, including dynamic changes in morphology and mechanical properties, chemical uptake and secretion, cell differentiation, proliferation, death, and migration. Modeling and simulation of such dynamic phenomena poses a number of computational challenges. A modeling language describing cellular dynamics must naturally represent complex intra and extra-cellular spatial structures and coupled mechanical, chemical and electrical processes...
April 2017: Symp Theory Model Simul
https://www.readbyqxmd.com/read/29301000/developmental-defects-associated-with-dna-copy-number-gain-of-chromosome-2q33-1-a-case-report-and-review-of-literature
#13
Akshaya Gupta, Jacob Yo, Gengming Huang, Lynn Soong, Jianli Dong
Caspases play a vital role during apoptosis. In addition to apoptosis, caspases play a role in cytokine gene induction and work to inhibit apoptosis. In order for individuals to thrive with useful tissue growth, the rate of cell growth and division must surpass the rate of cell division. It is well established that excessive cell death of embryonic cells is a vital process occurring before structural abnormalities, regardless of their nature. Here we describe a 13-month-old male patient with a 4.7Mb interstitial duplication of chromosome 2q33...
December 29, 2017: Laboratory Medicine
https://www.readbyqxmd.com/read/29300701/speech2health-a-mobile-framework-for-monitoring-dietary-composition-from-spoken-data
#14
Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervention studies, however, stringent monitoring of overall dietary composition and energy intake is needed. Currently, such a monitoring relies on self-reported data by either entering text or taking an image that represents food intake. These approaches suffer from limitations such as low adherence in technology adoption and time sensitivity to the diet intake context...
January 2018: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29298665/analysis-of-microarrays-of-mir-34a-and-its-identification-of-prospective-target-gene-signature-in-hepatocellular-carcinoma
#15
Fang-Hui Ren, Hong Yang, Rong-Quan He, Jing-Ning Lu, Xing-Gu Lin, Hai-Wei Liang, Yi-Wu Dang, Zhen-Bo Feng, Gang Chen, Dian-Zhong Luo
BACKGROUND: Currently, some studies have demonstrated that miR-34a could serve as a suppressor of several cancers including hepatocellular carcinoma (HCC). Previously, we discovered that miR-34a was downregulated in HCC and involved in the tumorigenesis and progression of HCC; however, the mechanism remains unclear. The purpose of this study was to estimate the expression of miR-34a in HCC by applying the microarray profiles and analyzing the predicted targets of miR-34a and their related biological pathways of HCC...
January 3, 2018: BMC Cancer
https://www.readbyqxmd.com/read/29298573/hermeneutic-constructivism-an-ontology-for-qualitative-research
#16
Blake Peck, Jane Mummery
Qualitative research is entirely an operation with language, in language, and occasionally on language. This article suggests a tension between theoretical recognition of a multiplicity of human experience on one hand and a reliance upon practices of thematic representation that prioritize the common or the general over individualized experience. The fulcrum of this tension is the nature of language itself and its role in human experience and meaning-making. This article sets out the theoretical foundations of Hermeneutic Constructivism as one proposed approach to redress this problematic within many qualitative frameworks and open up an opportunity for a deeper and more nuanced understanding of human being...
May 1, 2017: Qualitative Health Research
https://www.readbyqxmd.com/read/29287076/do-neural-nets-learn-statistical-laws-behind-natural-language
#17
Shuntaro Takahashi, Kumiko Tanaka-Ishii
The performance of deep learning in natural language processing has been spectacular, but the reasons for this success remain unclear because of the inherent complexity of deep learning. This paper provides empirical evidence of its effectiveness and of a limitation of neural networks for language engineering. Precisely, we demonstrate that a neural language model based on long short-term memory (LSTM) effectively reproduces Zipf's law and Heaps' law, two representative statistical properties underlying natural language...
2017: PloS One
https://www.readbyqxmd.com/read/29283465/delta-but-not-theta-band-cortical-entrainment-involves-speech-specific-processing
#18
Nicola Molinaro, Mikel Lizarazu
Cortical oscillations phase-align to the quasi-rhythmic structure of the speech envelope. This speech-brain entrainment has been reported in two frequency bands, i.e., both in the theta band (4 - 8 Hz) and in the delta band (< 4 Hz). However, it is not clear if these two phenomena reflect passive synchronization of the auditory cortex to the acoustics of the speech input, or if they reflect higher processes involved in actively parsing speech information. Here we report two magnetoencephalography experiments in which we contrasted cortical entrainment to natural speech compared to qualitative different control conditions (Experiment 1: amplitude modulated white-noise; Experiment 2: spectrally rotated speech)...
December 28, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29278956/framework-for-infectious-disease-analysis-a-comprehensive-and-integrative-multi-modeling-approach-to-disease-prediction-and-management
#19
Madhav Erraguntla, Josef Zapletal, Mark Lawley
The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease management must fully connect the complete disease lifecycle, including emergence from reservoir populations, zoonotic vector transmission, and impact on human societies. The Framework for Infectious Disease Analysis is a software environment and conceptual architecture for data integration, situational awareness, visualization, prediction, and intervention assessment...
December 1, 2017: Health Informatics Journal
https://www.readbyqxmd.com/read/29277646/convergence-of-spoken-and-written-language-processing-in-the-superior-temporal-sulcus
#20
Stephen M Wilson, Alexa Bautista, Angelica McCarron
Spoken and written language processing streams converge in the superior temporal sulcus (STS), but the functional and anatomical nature of this convergence is not clear. We used functional MRI to quantify neural responses to spoken and written language, along with unintelligible stimuli in each modality, and employed several strategies to segregate activations on the dorsal and ventral banks of the STS. We found that intelligible and unintelligible inputs in both modalities activated the dorsal bank of the STS...
December 22, 2017: NeuroImage
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