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https://www.readbyqxmd.com/read/29333853/a-highly-sensitive-and-very-stretchable-strain-sensor-based-on-a-rubbery-semiconductor
#1
Hae-Jin Kim, Anish Thukral, Cunjiang Yu
There is a growing interest in developing stretchable strain sensors to quantify the large mechanical deformation and strain associated with the activities for a wide range of species, such as humans, machines, and robots. Here, we report a novel stretchable strain sensor entirely in a rubber format by using a solution processed rubbery semiconductor as the sensing material to achieve high sensitivity, large mechanical strain tolerance, hysteresis-less and highly linear responses. Specifically, the rubbery semiconductor exploits π-π stacked poly(3-hexylthiophene-2,5-diyl) nanofibrils (P3HT-NFs) percolated in silicone elastomer of polydimethylsiloxane (PDMS) to yield semiconducting nanocomposite with a large mechanical stretchability, although P3HT is a well-known nonstretchable semiconductor...
January 15, 2018: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/29333707/impact-of-gastric-acid-induced-surface-changes-on-mechanical-behavior-and-optical-characteristics-of-dental-ceramics
#2
Aditi Kulkarni, James Rothrock, Jeffery Thompson
PURPOSE: To test the impact of exposure to artificial gastric acid combined with toothbrush abrasion on the properties of dental ceramics. Earlier research has indicated that immersion in artificial gastric acid has caused increased surface roughness of dental ceramics; however, the combined effects of acid immersion and toothbrush abrasion and the impact of increased surface roughness on mechanical strength and optical properties have not been studied. MATERIALS AND METHODS: Three commercially available ceramics were chosen for this study: feldspathic porcelain, lithium disilicate glass-ceramic, and monolithic zirconium oxide...
January 14, 2018: Journal of Prosthodontics: Official Journal of the American College of Prosthodontists
https://www.readbyqxmd.com/read/29332804/effect-of-preprocessing-high-resolution-mass-spectra-on-the-pattern-recognition-of-cannabis-hemp-and-liquor
#3
Xinyi Wang, Peter de B Harrington, Steven F Baugh
High-resolution mass spectrometry (HRMS) combined with pattern recognition was used to discriminate among twenty-five Cannabis samples, twenty hemp samples, and eight liquor samples. The effects of preprocessing on multivariate data analysis were evaluated for Orbitrap high-resolution mass spectra. Different root transformations were evaluated with respect to the bin width and the average classification rates. In addition, linear binning and proportional binning with various resolving powers were studied with respect to the average classification rates...
April 1, 2018: Talanta
https://www.readbyqxmd.com/read/29332722/from-laboratory-to-operating-room-innovative-use-of-manual-blood-cell-counting-machine-for-counting-follicular-grafts
#4
Vikas Pathania
No abstract text is available yet for this article.
February 2018: Journal of the American Academy of Dermatology
https://www.readbyqxmd.com/read/29332278/exposure-to-nanoscale-and-microscale-particulate-air-pollution-prior-to-mining-development-near-a-northern-indigenous-community-in-qu%C3%A3-bec-canada
#5
Avik J Ghoshdastidar, Zhenzhong Hu, Yevgen Nazarenko, Parisa A Ariya
This study serves as a baseline characterization of indoor and outdoor air quality in a remote northern indigenous community prior to the start of a major nearby mining operation, including measurements of nanoparticles, which has never been performed in this context before. We performed aerosol sample collection and real-time aerosol measurements at six different locations at the Cree First Nation of Waswanipi and the Montviel campsite, located 45 km west of the Cree First Nation of Waswanipi, in the south of the Nord-du-Québec region...
January 14, 2018: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29332020/predictors-of-improvements-in-mental-health-from-mindfulness-meditation-in-stressed-older-adults
#6
Barry S Oken, Elena Goodrich, Daniel Klee, Tabatha Memmott, Jeffrey Proulx
Context • The benefits of a mindfulness meditation (MM) intervention are most often evidenced by improvements in self-rated stress and mental health. Given the physiological complexity of the psychological stress system, it is likely that some people benefit significantly, whereas others do not. Clinicians and researchers could benefit from further exploration to determine which baseline factors can predict clinically significant improvements from MM. Objectives • The study intended to determine (1) whether the baseline measures for participants who significantly benefitted from MM training were different from the baseline measures of participants who did not, and (2) whether a classification analysis using a decision-tree, machine-learning approach could be useful in predicting which individuals would be most likely to improve...
January 2018: Alternative Therapies in Health and Medicine
https://www.readbyqxmd.com/read/29331757/hedging-bets-applying-new-zealand-s-gambling-machine-regime-to-cannabis-legalization
#7
Jonathan P Caulkins
Cannabis legalization is often falsely depicted as a binary choice between status quo prohibition and legalizing production and distribution by (regulated) for-profit industry. There are, however, many more prudent architectures for legalization, such as restricting production and distribution licenses to not-for-profit entities. Wilkins describes how New Zealand applied that concept to gambling machines and proposes a parallel for cannabis legalization. Greater investment in proposing good designs along these lines, including attending to governance structures, would be valuable...
January 11, 2018: International Journal on Drug Policy
https://www.readbyqxmd.com/read/29331743/preliminary-investigation-of-human-exhaled-breath-for-tuberculosis-diagnosis-by-multidimensional-gas-chromatography-time-of-flight-mass-spectrometry-and-machine-learning
#8
Marco Beccaria, Theodore R Mellors, Jacky S Petion, Christiaan A Rees, Mavra Nasir, Hannah K Systrom, Jean W Sairistil, Marc-Antoine Jean-Juste, Vanessa Rivera, Kerline Lavoile, Patrice Severe, Jean W Pape, Peter F Wright, Jane E Hill
Tuberculosis (TB) remains a global public health malady that claims almost 1.8 million lives annually. Diagnosis of TB represents perhaps one of the most challenging aspects of tuberculosis control. Gold standards for diagnosis of active TB (culture and nucleic acid amplification) are sputum-dependent, however, in up to a third of TB cases, an adequate biological sputum sample is not readily available. The analysis of exhaled breath, as an alternative to sputum-dependent tests, has the potential to provide a simple, fast, and non-invasive, and ready-available diagnostic service that could positively change TB detection...
January 4, 2018: Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
https://www.readbyqxmd.com/read/29331490/supervised-machine-learning-for-population-genetics-a-new-paradigm
#9
REVIEW
Daniel R Schrider, Andrew D Kern
As population genomic datasets grow in size, researchers are faced with the daunting task of making sense of a flood of information. To keep pace with this explosion of data, computational methodologies for population genetic inference are rapidly being developed to best utilize genomic sequence data. In this review we discuss a new paradigm that has emerged in computational population genomics: that of supervised machine learning (ML). We review the fundamentals of ML, discuss recent applications of supervised ML to population genetics that outperform competing methods, and describe promising future directions in this area...
January 10, 2018: Trends in Genetics: TIG
https://www.readbyqxmd.com/read/29331253/evaluation-of-three-machine-learning-models-for-self-referral-decision-support-on-low-back-pain-in-primary-care
#10
Wendy Oude Nijeweme-d'Hollosy, Lex van Velsen, Mannes Poel, Catharina G M Groothuis-Oudshoorn, Remko Soer, Hermie Hermens
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the right interventions at the right moment. We started research in the design of a clinical decision support system (CDSS) to support patients with LBP in their self-referral to primary care. For this, we explored the possibilities of using supervised machine learning...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331250/inferred-joint-multigram-models-for-medical-term-normalization-according-to-icd
#11
Alicia Pérez, Aitziber Atutxa, Arantza Casillas, Koldo Gojenola, Álvaro Sellart
BACKGROUND: Electronic Health Records (EHRs) are written using spontaneous natural language. Often, terms do not match standard terminology like the one available through the International Classification of Diseases (ICD). OBJECTIVE: Information retrieval and exchange can be improved using standard terminology. Our aim is to render diagnostic terms written in spontaneous language in EHRs into the standard framework provided by the ICD. METHODS: We tackle diagnostic term normalization employing Weighted Finite-State Transducers (WFSTs)...
February 2018: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/29331021/onset-progression-and-resolution-of-experimental-peri-implant-mucositis-at-different-abutment-surfaces-a-randomized-controlled-two-center-study
#12
F Schwarz, J Becker, C Sara, D Hazar, T Iglhaut, G Iglhaut
OBJECTIVES: To assess the onset, progression and resolution of experimentally induced peri-implant mucositis lesions at abutments with different microstructures in humans. MATERIAL & METHODS: In a randomized, controlled, interventional two-center study, a total of 28 patients had received 28 target implants and were randomly allocated to either partially microgrooved- (test) or machined (control) healing abutments. The study was accomplished in 3 phases, including a wound healing period (WH) following implant placement (12 weeks), a plaque exposure phase (EP - 21 days) and a resolution phase (RP - 16 weeks)...
January 13, 2018: Journal of Clinical Periodontology
https://www.readbyqxmd.com/read/29330775/a-peg-based-method-for-the-isolation-of-urinary-exosomes-and-its-application-in-renal-fibrosis-diagnostics-using-cargo-mir-29c-and-mir-21-analysis
#13
Chun-Yan Lv, Wei-Jun Ding, Yi-Li Wang, Zi-Yi Zhao, Jin-Hui Li, Yan Chen, Jiao Lv
PURPOSE: To assess a new and highly specific, but low-cost, easily performed and suitable for large-scale applications method for renal fibrosis (RF) diagnostics. METHODS: Thirty-five RF and twenty non-RF patients were enrolled in the study. An appropriate polyethylene glycol (PEG) was used to isolate urinary exosomes. The efficiency of isolation process was evaluated by the morphology and size observation, as well as the detection of specific markers (CD63, CD9)...
January 12, 2018: International Urology and Nephrology
https://www.readbyqxmd.com/read/29330184/microbiomes-in-dishwashers-analysis-of-the-microbial-diversity-and-putative-opportunistic-pathogens-in-dishwasher-biofilm-communities
#14
Prem Krishnan Raghupathi, Jerneja Zupančič, Asker Daniel Brejnrod, Samuel Jacquiod, Kurt Houf, Mette Burmølle, Nina Gunde-Cimerman, Søren J Sørensen
Extreme habitats are not only limited to natural environments, but also apply to man-made systems, for instance household appliances such as dishwashers. Limiting factors, such as high temperatures, high and low pH, high NaCl concentrations, presence of detergents and shear force from water during washing cycles define the microbial survival in this extreme system. Fungal and bacterial diversity in biofilms isolated from rubber seals of 24 different household dishwashers were investigated using next generation sequencing...
January 12, 2018: Applied and Environmental Microbiology
https://www.readbyqxmd.com/read/29330154/novel-wearable-seismocardiography-and-machine-learning-algorithms-can-assess-clinical-status-of-heart-failure-patients
#15
Omer T Inan, Maziyar Baran Pouyan, Abdul Q Javaid, Sean Dowling, Mozziyar Etemadi, Alexis Dorier, J Alex Heller, A Ozan Bicen, Shuvo Roy, Teresa De Marco, Liviu Klein
BACKGROUND: Remote monitoring of patients with heart failure (HF) using wearable devices can allow patient-specific adjustments to treatments and thereby potentially reduce hospitalizations. We aimed to assess HF state using wearable measurements of electrical and mechanical aspects of cardiac function in the context of exercise. METHODS AND RESULTS: Patients with compensated (outpatient) and decompensated (hospitalized) HF were fitted with a wearable ECG and seismocardiogram sensing patch...
January 2018: Circulation. Heart Failure
https://www.readbyqxmd.com/read/29330017/a-wrapped-multi-label-classifier-for-the-automatic-diagnosis-and-prognosis-of-alzheimer-s-disease
#16
C Salvatore, I Castiglioni
BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in the management of AD patients. NEW METHOD: We implemented a machine-learning classifier for the automatic early diagnosis and prognosis of AD by means of features extracted, selected and optimized from structural MRI brain images. The classifier was designed to perform multi-label automatic classification into the following four classes: HC, ncMCI, cMCI, and AD...
January 9, 2018: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29329721/quantifying-fluctuation-in-glucose-levels-to-identify-early-changes-in-glucose-homeostasis-in-cystic-fibrosis
#17
Rossa Brugha, Marie Wright, Suzie Nolan, Nicola Bridges, Siobhán B Carr
BACKGROUND: Cystic fibrosis related diabetes (CFRD) is associated with increased morbidity in CF. Variability in physiological systems is associated with dysfunctional homeostasis. We examined whether fluctuation in glucose is a marker of CFRD or "pre-diabetes". METHODS: Using a machine learning approach, we compared glucose IQR to current diagnostic criteria in a review of continuous glucose monitoring data. RESULTS: Analysis was performed on 248 studies from 142 children...
January 9, 2018: Journal of Cystic Fibrosis: Official Journal of the European Cystic Fibrosis Society
https://www.readbyqxmd.com/read/29329660/cochlea-ct-radiomics-predicts-chemoradiotherapy-induced-sensorineural-hearing-loss-in-head-and-neck-cancer-patients-a-machine-learning-and-multi-variable-modelling-study
#18
Hamid Abdollahi, Shayan Mostafaei, Susan Cheraghi, Isaac Shiri, Seied Rabi Mahdavi, Anoshirvan Kazemnejad
OBJECTIVES: Immediately or after head-and-neck (H&N) cancer chemoradiotherapy (CRT), patients may undergone significant sensorineural hearing loss (SNHL) which could affect their quality of life. Radiomic feature analysis is proposed to predict SNHL induced by CRT. MATERIAL AND METHODS: 490 image features of 94 cochlea from 47 patients treated with three dimensional conformal RT (3DCRT) for different H&N cancers were extracted from CT images. Different machine learning (ML) algorithms and also least absolute shrinkage and selection operator (LASSO) penalized logistic regression were implemented on radiomic features for feature selection, classification and prediction...
January 9, 2018: Physica Medica: PM
https://www.readbyqxmd.com/read/29329416/automatic-ecg-based-detection-of-autonomic-arousals-and-their-association-with-cortical-arousals-leg-movements-and-respiratory-events-in-sleep
#19
Mads Olsen, Logan Douglas Schneider, Joseph Cheung, Paul E Peppard, Poul J Jennum, Emmanuel Mignot, Helge Bjarup Dissing Sorensen
Study objectives: The current definition of sleep arousals neglects to address the diversity of arousals and their systemic cohesion. Autonomic arousals (AA) are autonomic activations often associated with cortical arousals (CA), but they may also occur in isolation in relation to a respiratory event, a leg movement event or spontaneously, without any other physiological associations. AA should be acknowledged as essential events to understand and explore the systemic implications of arousals...
January 10, 2018: Sleep
https://www.readbyqxmd.com/read/29329398/lenup-learning-nucleosome-positioning-from-dna-sequences-with-improved-convolutional-neural-networks
#20
Juhua Zhang, Wenbo Peng, Lei Wang
Motivation: Nucleosome positioning plays significant roles in proper genome packing and its accessibility to execute transcription regulation. Despite a multitude of nucleosome positioning resources available on line including experimental datasets of genome-wide nucleosome occupancy profiles and computational tools to the analysis on these data, the complex language of eukaryotic Nucleosome positioning remains incompletely understood. Results: Here, we address this challenge using an approach based on a state-of-the-art machine learning method...
January 10, 2018: Bioinformatics
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