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https://www.readbyqxmd.com/read/28934753/an-in-vitro-comparison-of-bond-strength-of-different-sealers-obturation-systems-to-root-dentin-using-push-out-test-at-2-weeks-and-3-months-post-obturation
#1
Wai Ying Yap, Zeti Adura Che Ab Aziz, Noor Hayati Azami, Afaf Yahya Al-Haddad, Asfand Ali Khan
OBJECTIVE: To evaluate the push-out bond strength and failure modes of different sealers/obturation systems to intra-radicular dentin at 2 weeks and 3 months' post obturation compared to AH Plus®/gutta-percha. MATERIALS AND METHODS: One hundred and eighty (180) root slices from sixty (60) single-canal anterior teeth were prepared and assigned to 5 experimental groups (n=36 in each group), designated as G1: AH Plus®/Gutta-percha; G2: TotalFill BCTM sealer/BC coated gutta-percha; G3: TotalFill BCTM sealer/gutta-percha; G4: EndoREZ® sealer/EndoREZ® coated gutta-percha and G5: EndoREZ® sealer/gutta-percha...
September 19, 2017: Medical Principles and Practice: International Journal of the Kuwait University, Health Science Centre
https://www.readbyqxmd.com/read/28934693/enzyme-classification-using-multiclass-support-vector-machine-and-feature-subset-selection
#2
Debasmita Pradhan, Sudarsan Padhy, Biswajit Sahoo
Proteins are the macromolecules responsible for almost all biological processes in a cell. With the availability of large number of protein sequences from different sequencing projects, the challenge with the scientist is to characterize their functions. As the wet lab methods are time consuming and expensive, many computational methods such as FASTA, PSI-BLAST, DNA microarray clustering, and Nearest Neighborhood classification on protein-protein interaction network have been proposed. Support vector machine is one such method that has been used successfully for several problems such as protein fold recognition, protein structure prediction etc...
August 31, 2017: Computational Biology and Chemistry
https://www.readbyqxmd.com/read/28934641/graph-construction-using-adaptive-local-hybrid-coding-scheme
#3
Fadi Dornaika, Mahdi Tavassoli Kejani, Alireza Bosaghzadeh
It is well known that dense coding with local bases (via Least Square coding schemes) can lead to large quantization errors or poor performances of machine learning tasks. On the other hand, sparse coding focuses on accurate representation without taking into account data locality due to its tendency to ignore the intrinsic structure hidden among the data. Local Hybrid Coding (LHC) (Xiang et al., 2014) was recently proposed as an alternative to the sparse coding scheme that is used in Sparse Representation Classifier (SRC)...
August 24, 2017: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28934302/predicting-couple-therapy-outcomes-based-on-speech-acoustic-features
#4
Md Nasir, Brian Robert Baucom, Panayiotis Georgiou, Shrikanth Narayanan
Automated assessment and prediction of marital outcome in couples therapy is a challenging task but promises to be a potentially useful tool for clinical psychologists. Computational approaches for inferring therapy outcomes using observable behavioral information obtained from conversations between spouses offer objective means for understanding relationship dynamics. In this work, we explore whether the acoustics of the spoken interactions of clinically distressed spouses provide information towards assessment of therapy outcomes...
2017: PloS One
https://www.readbyqxmd.com/read/28934238/a-tool-to-automatically-analyze-electromagnetic-tracking-data-from-high-dose-rate-brachytherapy-of-breast-cancer-patients
#5
Th I Götz, G Lahmer, V Strnad, Ch Bert, B Hensel, A M Tomé, E W Lang
During High Dose Rate Brachytherapy (HDR-BT) the spatial position of the radiation source inside catheters implanted into a female breast is determined via electromagnetic tracking (EMT). Dwell positions and dwell times of the radiation source are established, relative to the patient's anatomy, from an initial X-ray-CT-image. During the irradiation treatment, catheter displacements can occur due to patient movements. The current study develops an automatic analysis tool of EMT data sets recorded with a solenoid sensor to assure concordance of the source movement with the treatment plan...
2017: PloS One
https://www.readbyqxmd.com/read/28934168/role-of-the-genes-of-type-vi-secretion-system-in-virulence-of-rice-bacterial-brown-stripe-pathogen-acidovorax-avenae-subsp-avenae-strain-rs-2
#6
Md Mahidul Islam Masum, Yingzi Yang, Bin Li, Ogunyemi Solabomi Olaitan, Jie Chen, Yang Zhang, Yushi Fang, Wen Qiu, Yanli Wang, Guochang Sun
The Type VI secretion system (T6SS) is a class of macromolecular machine that is required for the virulence of gram-negative bacteria. However, it is still not clear what the role of T6SS in the virulence of rice bacterial brown stripe pathogen Acidovorax avenae subsp. avenae (Aaa) is. The aim of the current study was to investigate the contribution of T6SS in Aaa strain RS2 virulence using insertional deletion mutation and complementation approaches. This strain produced weak virulence but contains a complete T6SS gene cluster based on a genome-wide analysis...
September 21, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28934163/a-parameter-communication-optimization-strategy-for-distributed-machine-learning-in-sensors
#7
Jilin Zhang, Hangdi Tu, Yongjian Ren, Jian Wan, Li Zhou, Mingwei Li, Jue Wang, Lifeng Yu, Chang Zhao, Lei Zhang
In order to utilize the distributed characteristic of sensors, distributed machine learning has become the mainstream approach, but the different computing capability of sensors and network delays greatly influence the accuracy and the convergence rate of the machine learning model. Our paper describes a reasonable parameter communication optimization strategy to balance the training overhead and the communication overhead. We extend the fault tolerance of iterative-convergent machine learning algorithms and propose the Dynamic Finite Fault Tolerance (DFFT)...
September 21, 2017: Sensors
https://www.readbyqxmd.com/read/28934146/exploiting-the-capture-effect-to-enhance-rach-performance-in-cellular-based-m2m-communications
#8
Jonghun Kim, Jaiyong Lee
Cellular-based machine-to-machine (M2M) communication is expected to facilitate services for the Internet of Things (IoT). However, because cellular networks are designed for human users, they have some limitations. Random access channel (RACH) congestion caused by massive access from M2M devices is one of the biggest factors hindering cellular-based M2M services because the RACH congestion causes random access (RA) throughput degradation and connection failures to the devices. In this paper, we show the possibility exploiting the capture effects, which have been known to have a positive impact on the wireless network system, on RA procedure for improving the RA performance of M2M devices...
September 21, 2017: Sensors
https://www.readbyqxmd.com/read/28934080/could-ebt-machines-increase-fruit-and-vegetable-purchases-at-new-york-city-green-carts
#9
Andrew Breck, Kamila Kiszko, Olivia Martinez, Courtney Abrams, Brian Elbel
INTRODUCTION: Residents of some low-income neighborhoods have limited access to fresh fruits and vegetables. In 2008, New York City issued new mobile fruit and vegetable cart licenses for neighborhoods with inadequate availability of fresh produce. Some of these carts were equipped with electronic benefit transfer (EBT) machines, allowing them to accept Supplemental Nutrition Assistance Program (SNAP) benefits. This article examines the association between type and quantities of fruits and vegetables purchased from mobile fruit and vegetable vendors and consumer characteristics, including payment method...
September 21, 2017: Preventing Chronic Disease
https://www.readbyqxmd.com/read/28933947/on-the-safety-of-machine-learning-cyber-physical-systems-decision-sciences-and-data-products
#10
Kush R Varshney, Homa Alemzadeh
Machine learning algorithms increasingly influence our decisions and interact with us in all parts of our daily lives. Therefore, just as we consider the safety of power plants, highways, and a variety of other engineered socio-technical systems, we must also take into account the safety of systems involving machine learning. Heretofore, the definition of safety has not been formalized in a machine learning context. In this article, we do so by defining machine learning safety in terms of risk, epistemic uncertainty, and the harm incurred by unwanted outcomes...
September 2017: Big Data
https://www.readbyqxmd.com/read/28933707/high-accuracy-automatic-classification-of-parkinsonian-tremor-severity-using-machine-learning-method
#11
Hyoseon Jeon, Woongwoo Lee, Hyeyoung Park, Hong Ji Lee, Sang Kyong Kim, Han Byul Kim, Beomseok Jeon, Kwang Suk Park
Although clinical aspirations for new technology to accurately measure and diagnose Parkinsonian tremors exist, automatic scoring of tremor severity using machine learning approaches has not yet been employed. Objective: This study aims to maximize the scientific validity of automatic tremor-severity classification using machine learning algorithms to score Parkinsonian tremor severity in the same manner as the Unified Parkinson's Disease Rating Scale (UPDRS) used to rate scores in real clinical practice...
September 21, 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28933675/using-the-concept-of-hubots-to-understand-the-work-entailed-in-using-digital-technologies-in-healthcare
#12
Catherine Pope, Joanne Turnbull
Purpose The purpose of this paper is to explore the human work entailed in the deployment of digital health care technology. It draws on imagined configurations of computers and machines in fiction and social science to think about the relationship between technology and people, and why this makes implementation of digital technology so difficult. The term hubots is employed as a metaphorical device to examine how machines and humans come together to do the work of healthcare. Design/methodology/approach This paper uses the fictional depiction of hubots to reconceptualise the deployment of a particular technology - a computer decision support system (CDSS) used in emergency and urgent care services...
August 21, 2017: Journal of Health Organization and Management
https://www.readbyqxmd.com/read/28933439/3d-printing-of-high-strength-aluminium-alloys
#13
John H Martin, Brennan D Yahata, Jacob M Hundley, Justin A Mayer, Tobias A Schaedler, Tresa M Pollock
Metal-based additive manufacturing, or three-dimensional (3D) printing, is a potentially disruptive technology across multiple industries, including the aerospace, biomedical and automotive industries. Building up metal components layer by layer increases design freedom and manufacturing flexibility, thereby enabling complex geometries, increased product customization and shorter time to market, while eliminating traditional economy-of-scale constraints. However, currently only a few alloys, the most relevant being AlSi10Mg, TiAl6V4, CoCr and Inconel 718, can be reliably printed; the vast majority of the more than 5,500 alloys in use today cannot be additively manufactured because the melting and solidification dynamics during the printing process lead to intolerable microstructures with large columnar grains and periodic cracks...
September 20, 2017: Nature
https://www.readbyqxmd.com/read/28933436/stereodivergent-synthesis-with-a-programmable-molecular-machine
#14
Salma Kassem, Alan T L Lee, David A Leigh, Vanesa Marcos, Leoni I Palmer, Simone Pisano
It has been convincingly argued that molecular machines that manipulate individual atoms, or highly reactive clusters of atoms, with Ångström precision are unlikely to be realized. However, biological molecular machines routinely position rather less reactive substrates in order to direct chemical reaction sequences, from sequence-specific synthesis by the ribosome to polyketide synthases, where tethered molecules are passed from active site to active site in multi-enzyme complexes. Artificial molecular machines have been developed for tasks that include sequence-specific oligomer synthesis and the switching of product chirality, a photo-responsive host molecule has been described that is able to mechanically twist a bound molecular guest, and molecular fragments have been selectively transported in either direction between sites on a molecular platform through a ratchet mechanism...
September 20, 2017: Nature
https://www.readbyqxmd.com/read/28933187/headless-screw-fixation-of-metacarpal-neck-fractures-a-mechanical-comparative-analysis
#15
Christopher M Jones, Eric M Padegimas, Nicole Weikert, Samuel Greulich, Asif M Ilyas, Sorin Siegler
BACKGROUND: The purpose of this study was to compare the mechanical properties of metacarpal neck fracture fixation by headless compression screw (HCS) with that of Kirschner wire (KW) cross-pinning and locking plate (LP) fixation. METHODS: A metacarpal neck fracture was created in 30 fourth-generation composite Sawbones metacarpal models. A volar-based wedge was removed using a custom jig to simulate a typical apex dorsal fracture, unstable in flexion. The models were divided into 3 equal groups based on the method of fixation: retrograde cross-pinning with two 1...
September 1, 2017: Hand: Official Journal of the American Association for Hand Surgery
https://www.readbyqxmd.com/read/28932948/analysis-of-the-performance-emission-and-combustion-characteristics-of-a-turbocharged-diesel-engine-fuelled-with-jatropha-curcas-biodiesel-diesel-blends-using-kernel-based-extreme-learning-machine
#16
Arridina Susan Silitonga, Masjuki Haji Hassan, Hwai Chyuan Ong, Fitranto Kusumo
The purpose of this study is to investigate the performance, emission and combustion characteristics of a four-cylinder common-rail turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends. A kernel-based extreme learning machine (KELM) model is developed in this study using MATLAB software in order to predict the performance, combustion and emission characteristics of the engine. To acquire the data for training and testing the KELM model, the engine speed was selected as the input parameter, whereas the performance, exhaust emissions and combustion characteristics were chosen as the output parameters of the KELM model...
September 20, 2017: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/28932682/stroke-associated-pattern-of-gene-expression-previously-identified-by-machine-learning-is-diagnostically-robust-in-an-independent-patient-population
#17
Grant C O'Connell, Paul D Chantler, Taura L Barr
Our group recently employed genome-wide transcriptional profiling in tandem with machine-learning based analysis to identify a ten-gene pattern of differential expression in peripheral blood which may have utility for detection of stroke. The objective of this study was to assess the diagnostic capacity and temporal stability of this stroke-associated transcriptional signature in an independent patient population. Publicly available whole blood microarray data generated from 23 ischemic stroke patients at 3, 5, and 24 h post-symptom onset, as well from 23 cardiovascular disease controls, were obtained via the National Center for Biotechnology Information Gene Expression Omnibus...
December 2017: Genomics Data
https://www.readbyqxmd.com/read/28932653/a-bio-inspired-approach-for-the-design-of-a-multifunctional-robotic-end-effector-customized-for-automated-maintenance-of-a-reconfigurable-vibrating-screen
#18
O A Makinde, K Mpofu, R Vrabic, B I Ramatsetse
The development of a robotic-driven maintenance solution capable of automatically maintaining reconfigurable vibrating screen (RVS) machine when utilized in dangerous and hazardous underground mining environment has called for the design of a multifunctional robotic end-effector capable of carrying out all the maintenance tasks on the RVS machine. In view of this, the paper presents a bio-inspired approach which unfolds the design of a novel multifunctional robotic end-effector embedded with mechanical and control mechanisms capable of automatically maintaining the RVS machine...
2017: Robotics and Biomimetics
https://www.readbyqxmd.com/read/28932243/sensitive-wavelengths-selection-in-identification-of-ophiopogon-japonicus-based-on-near-infrared-hyperspectral-imaging-technology
#19
Zhengyan Xia, Chu Zhang, Haiyong Weng, Pengcheng Nie, Yong He
Hyperspectral imaging (HSI) technology has increasingly been applied as an analytical tool in fields of agricultural, food, and Traditional Chinese Medicine over the past few years. The HSI spectrum of a sample is typically achieved by a spectroradiometer at hundreds of wavelengths. In recent years, considerable effort has been made towards identifying wavelengths (variables) that contribute useful information. Wavelengths selection is a critical step in data analysis for Raman, NIRS, or HSI spectroscopy. In this study, the performances of 10 different wavelength selection methods for the discrimination of Ophiopogon japonicus of different origin were compared...
2017: International Journal of Analytical Chemistry
https://www.readbyqxmd.com/read/28932237/a-new-hybrid-model-fpa-svm-considering-cointegration-for-particular-matter-concentration-forecasting-a-case-study-of-kunming-and-yuxi-china
#20
Weide Li, Demeng Kong, Jinran Wu
Air pollution in China is becoming more serious especially for the particular matter (PM) because of rapid economic growth and fast expansion of urbanization. To solve the growing environment problems, daily PM2.5 and PM10 concentration data form January 1, 2015, to August 23, 2016, in Kunming and Yuxi (two important cities in Yunnan Province, China) are used to present a new hybrid model CI-FPA-SVM to forecast air PM2.5 and PM10 concentration in this paper. The proposed model involves two parts. Firstly, due to its deficiency to assess the possible correlation between different variables, the cointegration theory is introduced to get the input-output relationship and then obtain the nonlinear dynamical system with support vector machine (SVM), in which the parameters c and g are optimized by flower pollination algorithm (FPA)...
2017: Computational Intelligence and Neuroscience
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