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https://www.readbyqxmd.com/read/28734259/polishability-and-wear-resistance-of-splint-material-for-oral-appliances-produced-with-conventional-subtractive-and-additive-manufacturing
#1
Fabian Huettig, Achim Kustermann, Ebru Kuscu, Jürgen Geis-Gerstorfer, Sebastian Spintzyk
Occlusal splints to treat bruxism are commonly made from polymethylmethacrylate (PMMA) in a manual workflow (powder-liquid technique). Today digitalization allows a machine-based manufacturing in subtractive (milling) and additive (printing) means using industrial-made PMMA or comparable resins. An in-vitro study should assess the surface finish and screen the wear resistance of conventional and industrial materials. Therefore, a total of 30 specimens made from conventionally PMMA (group C; powder-liquid, Palapress), polycarbonate ingots (group S; innoBlanc splint plus), and light-curing resin (group A; VarseoWax splint) were polished to examine the surface roughness (Ra) by profilometry and further analyzed by SEM...
July 14, 2017: Journal of the Mechanical Behavior of Biomedical Materials
https://www.readbyqxmd.com/read/28732342/scope-mtl-a-non-invasive-tool-for-identifying-and-lateralizing-mesial-temporal-lobe-seizures-prior-to-scalp-eeg-ictal-onset
#2
Alice D Lam, Douglas Maus, Sahar F Zafar, Andrew J Cole, Sydney S Cash
OBJECTIVE: In mesial temporal lobe (mTL) epilepsy, seizure onset can precede the appearance of a scalp EEG ictal pattern by many seconds. The ability to identify this early, occult mTL seizure activity could improve lateralization and localization of mTL seizures on scalp EEG. METHODS: Using scalp EEG spectral features and machine learning approaches on a dataset of combined scalp EEG and foramen ovale electrode recordings in patients with mTL epilepsy, we developed an algorithm, SCOPE-mTL, to detect and lateralize early, occult mTL seizure activity, prior to the appearance of a scalp EEG ictal pattern...
July 1, 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28732336/using-machine-learning-to-identify-air-pollution-exposure-profiles-associated-with-early-cognitive-skills-among-u-s-children
#3
Jeanette A Stingone, Om P Pandey, Luz Claudio, Gaurav Pandey
Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goal of this study was to apply a two-stage, data-driven approach to identify associations between air pollutant exposure profiles and children's cognitive skills. Data from 6900 children enrolled in the Early Childhood Longitudinal Study, Birth Cohort, a national study of children born in 2001 and followed through kindergarten, were linked to estimated concentrations of 104 ambient air toxics in the 2002 National Air Toxics Assessment using ZIP code of residence at age 9 months...
July 18, 2017: Environmental Pollution
https://www.readbyqxmd.com/read/28732281/epileptic-seizure-detection-in-eegs-signals-based-on-the-weighted-visibility-graph-entropy
#4
Zeynab Mohammadpoory, Mahda Nasrolahzadeh, Javad Haddadnia
PURPOSE: Epileptic seizure detection has been a complex task for both researchers and specialist in that the assessment of epilepsy is difficult because, electroencephalogram (EEG) signals are chaotic and non-stationary. METHOD: This paper proposes a new method based on weighted visibility graph entropy (WVGE) to identify seizure from EEG signals. Single channel EEG signals are mapped onto the WVGs and WVGEs are calculated from these WVGs. Then some features are extracted of WVGEs and given to classifiers to investigate the performance of these features to classify the brain signals into three groups of normal (healthy), seizure free (interictal) and during a seizure (ictal) groups...
July 11, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28732207/a-crispr-resource-for-individual-combinatorial-or-multiplexed-gene-knockout
#5
Nicolas Erard, Simon R V Knott, Gregory J Hannon
We have combined a machine-learning approach with other strategies to optimize knockout efficiency with the CRISPR/Cas9 system. In addition, we have developed a multiplexed sgRNA expression strategy that promotes the functional ablation of single genes and allows for combinatorial targeting. These strategies have been combined to design and construct a genome-wide, sequence-verified, arrayed CRISPR library. This resource allows single-target or combinatorial genetic screens to be carried out at scale in a multiplexed or arrayed format...
July 20, 2017: Molecular Cell
https://www.readbyqxmd.com/read/28732052/protein-asparagine-deamidation-prediction-based-on-structures-with-machine-learning-methods
#6
Lei Jia, Yaxiong Sun
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein "hotspots" are amino acid residues that are subject to various chemical modifications, including deamidation, isomerization, glycosylation, oxidation etc. A more accurate prediction method for potential hotspot residues would allow their elimination or reduction as early as possible in the drug discovery process. In this work, we focus on prediction models for asparagine (Asn) deamidation...
2017: PloS One
https://www.readbyqxmd.com/read/28731880/refractive-surgery-malpractice-litigation-outcomes
#7
Benjamin L Custer, Steven R Ballard, Robert B Carroll, Scott D Barnes, Grant A Justin
PURPOSE: To review data on malpractice claims related to refractive surgery to identify common allegations and injuries and financial outcomes. METHODS: The WestlawNext database was reviewed for all malpractice lawsuits/settlements related to refractive eye surgery. Data evaluated included patient demographics, type of operation performed, plaintiff allegation, nature of injury, and litigation outcomes. RESULTS: A total of 167 cases met the inclusion criteria, of which 108 cases (64...
July 19, 2017: Cornea
https://www.readbyqxmd.com/read/28731640/are-products-sold-in-university-vending-machines-nutritionally-poor-a-food-environment-audit
#8
Amanda Grech, Lana Hebden, Rajshri Roy, Margaret Allman-Farinelli
AIM: (i) To audit the nutritional composition, promotion and cost of products available from vending machines available to young adults; and (ii) to examine the relationship between product availability and sales. METHODS: A cross-sectional analysis of snacks and beverages available and purchased at a large urban university was conducted between March and September 2014. Sales were electronically tracked for nine months. RESULTS: A total of 61 vending machines were identified; 95% (n = 864) of the available snacks and 49% of beverages (n = 455) were less-healthy items...
April 2017: Nutrition & Dietetics: the Journal of the Dietitians Association of Australia
https://www.readbyqxmd.com/read/28731557/data-mining-potential-applications-in-research-on-nutrition-and-health
#9
Marijka Batterham, Elizabeth Neale, Allison Martin, Linda Tapsell
AIM: Data mining enables further insights from nutrition-related research, but caution is required. The aim of this analysis was to demonstrate and compare the utility of data mining methods in classifying a categorical outcome derived from a nutrition-related intervention. METHODS: Baseline data (23 variables, 8 categorical) on participants (n = 295) in an intervention trial were used to classify participants in terms of meeting the criteria of achieving 10 000 steps per day...
February 2017: Nutrition & Dietetics: the Journal of the Dietitians Association of Australia
https://www.readbyqxmd.com/read/28731432/multivariate-approach-for-alzheimer-s-disease-detection-using-stationary-wavelet-entropy-and-predator-prey-particle-swarm-optimization
#10
Yudong Zhang, Shuihua Wang, Yuxiu Sui, Ming Yang, Bin Liu, Hong Cheng, Junding Sun, Wenjuan Jia, Preetha Phillips, Juan Manuel Gorriz
BACKGROUND: The number of patients with Alzheimer's disease is increasing rapidly every year. Scholars often use computer vision and machine learning methods to develop an automatic diagnosis system. OBJECTIVE: In this study, we developed a novel machine learning system that can make diagnoses automatically from brain magnetic resonance images. METHODS: First, the brain imaging was processed, including skull stripping and spatial normalization...
July 17, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28731335/a-simple-representation-of-three-dimensional-molecular-structure
#11
Seth D Axen, Xi-Ping Huang, Elena L Cáceres, Leo Gendelev, Bryan L Roth, Michael J Keiser
Statistical and machine learning approaches predict drug-to-target relationships from 2D small-molecule topology patterns. One might expect 3D information to improve these calculations. Here we apply the logic of the Extended Connectivity FingerPrint (ECFP) to develop a rapid, alignment-invariant 3D representation of molecular conformers, the Extended Three-Dimensional FingerPrint (E3FP). By integrating E3FP with the Similarity Ensemble Approach (SEA), we achieve higher precision-recall performance relative to SEA with ECFP on ChEMBL20, and equivalent receiver operating characteristic performance...
July 21, 2017: Journal of Medicinal Chemistry
https://www.readbyqxmd.com/read/28730995/decoding-human-mental-states-by-whole-head-eeg-fnirs-during-category-fluency-task-performance
#12
Ahmet Omurtag, Haleh Aghajani, Hasan Onur Keles
Concurrent scalp electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), which we refer to as EEG+fNIRS, promises greater accuracy than the individual modalities while remaining nearly as convenient as EEG. We sought to quantify the hybrid system's ability to decode mental states and compare it with its unimodal components. Approach. We recorded from healthy volunteers taking the category fluency test and applied machine learning techniques to the data. Main results...
July 21, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28730949/eric-acute-stroke-recanalization-a-study-using-predictive-analytics-to-assess-a-new-device-for-mechanical-thrombectomy
#13
Susanne Siemonsen, Nils D Forkert, Martina Bernhardt, Götz Thomalla, Martin Bendszus, Jens Fiehler
Aim and hypothesis Using a new study design, we investigate whether next-generation mechanical thrombectomy devices improve clinical outcomes in ischemic stroke patients. We hypothesize that this new methodology is superior to intravenous tissue plasminogen activator therapy alone. Methods and design ERic Acute StrokE Recanalization is an investigator-initiated prospective single-arm, multicenter, controlled, open label study to compare the safety and effectiveness of a new recanalization device and distal access catheter in acute ischemic stroke patients with symptoms attributable to acute ischemic stroke and vessel occlusion of the internal cerebral artery or middle cerebral artery...
August 2017: International Journal of Stroke: Official Journal of the International Stroke Society
https://www.readbyqxmd.com/read/28730946/contribution-of-upper-limb-muscles-to-two-different-gripping-styles-in-elite-indoor-tug-of-war-athletes
#14
Wen-Tzu Tang, Wei-Chih Liao, Hsin-Min Lee
To investigate characteristic upper limb muscle use between two common tug of war (TOW) gripping styles, 20 elite athletes from two high school TOW teams were recruited. Under conditioned attack pulling (with 90% maximal force) on a tug machine, participants used their own habitual gripping style to pull for five 15-s trials. Force and kinematic measurements showed a significantly better force performance and higher centre-of-gravity tilting angle with the gripping style one than with the gripping style two (GS2) (both p < 0...
July 21, 2017: Sports Biomechanics
https://www.readbyqxmd.com/read/28730740/statistical-process-control-and-verifying-positional-accuracy-of-a-cobra-motion-couch-using-step-wedge-quality-assurance-tool
#15
Diana Binny, Craig M Lancaster, Jamie V Trapp, Scott B Crowe
This study utilizes process control techniques to identify action limits for TomoTherapy couch positioning quality assurance tests. A test was introduced to monitor accuracy of the applied couch offset detection in the TomoTherapy Hi-Art treatment system using the TQA "Step-Wedge Helical" module and MVCT detector. Individual X-charts, process capability (cp), probability (P), and acceptability (cpk) indices were used to monitor a 4-year couch IEC offset data to detect systematic and random errors in the couch positional accuracy for different action levels...
July 21, 2017: Journal of Applied Clinical Medical Physics
https://www.readbyqxmd.com/read/28730627/will-we-all-be-replaced-by-machines
#16
D M Elston
No abstract text is available yet for this article.
July 2017: Journal of the European Academy of Dermatology and Venereology: JEADV
https://www.readbyqxmd.com/read/28730229/molecular-analysis-of-brca1-and-brca2-genes-by-next-generation-sequencing-and-ultrastructural-aspects-of-breast-tumor-tissue
#17
Corina Elena Mihalcea, Ana Maria Moroşanu, Daniela Murăraşu, Liliana Puiu, Sabin Aurel Cinca, Silviu Cristian Voinea, Nicolae Mirancea
In this paper, we focus our interest on the dynamics alterations of the tumor-stroma interface at the ultrastructural level and to detect BRCA1 and BRCA2 mutations using next generation sequencing (NGS) of breast tumor tissue. Electron microscopic investigation revealed some peculiar infrastructural alterations of the tumor cells per se as well as of the tumor-stroma interface: invadopodia, shedding microvesicles, altered morphology and reduced number of telocytes, different abnormalities of the microvasculature...
2017: Romanian Journal of Morphology and Embryology, Revue Roumaine de Morphologie et Embryologie
https://www.readbyqxmd.com/read/28730182/tracking-deceased-related-thinking-with-neural-pattern-decoding-of-a-cortical-basal-ganglia-circuit
#18
Noam Schneck, Stefan Haufe, Tao Tu, George A Bonanno, Kevin Ochsner, Paul Sajda, J John Mann
BACKGROUND: Deceased-related thinking is central to grieving and potentially critical to processing of the loss. Self-report measurements might fail to capture important elements of deceased-related thinking and processing. Here, we used a machine learning approach applied to fMRI - known as neural decoding - to develop a measure of ongoing deceased-related processing. METHODS: 23 subjects grieving the loss of a first-degree relative, spouse or partner within 14 months underwent two fMRI tasks...
July 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/28729956/predicting-the-host-of-influenza-viruses-based-on-the-word-vector
#19
Beibei Xu, Zhiying Tan, Kenli Li, Taijiao Jiang, Yousong Peng
Newly emerging influenza viruses continue to threaten public health. A rapid determination of the host range of newly discovered influenza viruses would assist in early assessment of their risk. Here, we attempted to predict the host of influenza viruses using the Support Vector Machine (SVM) classifier based on the word vector, a new representation and feature extraction method for biological sequences. The results show that the length of the word within the word vector, the sequence type (DNA or protein) and the species from which the sequences were derived for generating the word vector all influence the performance of models in predicting the host of influenza viruses...
2017: PeerJ
https://www.readbyqxmd.com/read/28729939/feature-selective-temporal-prediction-of-alzheimer-s-disease-progression-using-hippocampus-surface-morphometry
#20
Sinchai Tsao, Niharika Gajawelli, Jiayu Zhou, Jie Shi, Jieping Ye, Yalin Wang, Natasha Leporé
INTRODUCTION: Prediction of Alzheimer's disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end, we combine a predictive multi-task machine learning method (cFSGL) with a novel MR-based multivariate morphometric surface map of the hippocampus (mTBM) to predict future cognitive scores of patients. METHODS: Previous work has shown that a multi-task learning framework that performs prediction of all future time points simultaneously (cFSGL) can be used to encode both sparsity as well as temporal smoothness...
July 2017: Brain and Behavior
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