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https://www.readbyqxmd.com/read/29351656/evaluation-of-a-new-neutron-energy-spectrum-unfolding-code-based-on-an-adaptive-neuro-fuzzy-inference-system-anfis
#1
Seyed Abolfazl Hosseini, Iman Esmaili Paeen Afrakoti
The purpose of the present study was to reconstruct the energy spectrum of a poly-energetic neutron source using an algorithm developed based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). ANFIS is a kind of artificial neural network based on the Takagi-Sugeno fuzzy inference system. The ANFIS algorithm uses the advantages of both fuzzy inference systems and artificial neural networks to improve the effectiveness of algorithms in various applications such as modeling, control and classification. The neutron pulse height distributions used as input data in the training procedure for the ANFIS algorithm were obtained from the simulations performed by MCNPX-ESUT computational code (MCNPX-Energy engineering of Sharif University of Technology)...
January 17, 2018: Journal of Radiation Research
https://www.readbyqxmd.com/read/29351653/calibration-of-gafchromic-ebt3-film-for-dosimetry-of-scanning-proton-pencil-beam-pbs
#2
D Krzempek, G Mianowska, N Bassler, L Stolarczyk, R Kopec, B Sas-Korczynska, P Olko
Gafchromic EBT3 films are applied in proton radiotherapy for 2D dose mapping because they demonstrate spatial resolution well below 1 mm. However, the film response must be corrected in order to reach the accuracy of dose measurements required for the clinical use. The in-house developed AnalyseGafchromic software allows to analyze and correct the measured response using triple channel dose calibration, statistical scan-to-scan fluctuations as well as experimentally determined dose and LET dependence. Finally, the optimized protocol for evaluation of response of Gafchromic EBT3 films was applied to determine 30 × 40 cm2 dose profiles of the scanning therapy unit at the Cyclotron Centre Bronowice, CCB in Krakow, Poland...
January 17, 2018: Radiation Protection Dosimetry
https://www.readbyqxmd.com/read/29351571/the-barriers-and-facilitators-for-recognising-distress-in-people-with-severe-dementia-on-general-hospital-wards
#3
G J E Crowther, C A Brennan, M I Bennett
Introduction: psychological symptoms and delirium are common, but underreported in people with dementia on hospital wards. Unrecognised and untreated symptoms can manifest as distress. Identifying distress accurately therefore could act as a trigger for better investigation and treatment of the underlying causes. The challenges faced by healthcare professionals to recognise and report distress are poorly understood. Methods: semi-structured interviews with a purposive sample of 25 healthcare professionals working with older people in general hospitals were conducted...
January 17, 2018: Age and Ageing
https://www.readbyqxmd.com/read/29351484/the-serum-metabolomics-signature-of-type-2-diabetes-is-obscured-in-alzheimer-s-disease
#4
Jill K Morris, Brian D Piccolo, Kartik Shankar, John P Thyfault, Sean H Adams
There is evidence for systemic metabolic impairment in Alzheimer's disease (AD), and Type 2 Diabetes (T2D) increases AD risk. Although studies analyzing blood metabolomics signatures have shown differences between cognitively healthy (CH) and AD subjects, these signatures have not been compared to individuals with T2D. We utilized untargeted analysis platforms (primary metabolism and complex lipids) to characterize the serum metabolome of 126 overnight fasted elderly subjects classified into 4 groups based upon AD status (CH or AD) and T2D status (Nondiabetic [ND] or T2D)...
December 26, 2017: American Journal of Physiology. Endocrinology and Metabolism
https://www.readbyqxmd.com/read/29351374/fast-dynamic-docking-guided-by-adaptive-electrostatic-bias-the-md-binding-approach
#5
Andrea Spitaleri, Sergio Decherchi, Andrea Cavalli, Walter Rocchia
Engineering chemical entities to modify how pharmaceutical targets function, as it is done in drug design, requires a good understanding of molecular recognition and binding. In this context, the limitations of statically describing bimolecular recognition, as done in docking/scoring, call for insightful and efficient dynamical investigations. On the experimental side, the characterization of dynamical binding processes is still in its infancy. Thus, computer simulations, particularly molecular dynamics (MD), are compelled to play a prominent role, allowing a deeper comprehension of the binding process and its causes and thus a more informed compound selection, making more significant the computational contribution to drug discovery1...
January 19, 2018: Journal of Chemical Theory and Computation
https://www.readbyqxmd.com/read/29351367/accurate-understanding-of-infertility-risk-among-families-of-adolescent-males-newly-diagnosed-with-cancer
#6
Vicky Lehmann, Jessica S Flynn, Rebecca H Foster, Kathryn M Russell, James L Klosky
OBJECTIVE: To examine patient and parent understanding of infertility risk (relative to oncologists' risk ratings) among adolescents newly diagnosed with cancer, and to identify background factors related to inaccurate reporting/estimating. METHODS: Male patients (N=137; aged 13-21) and their parents completed self-report questionnaires. Those who reported a fertility-related conversation with their provider (N=102 adolescents, N=74 parents), reported their infertility risk (i...
January 19, 2018: Psycho-oncology
https://www.readbyqxmd.com/read/29351354/the-effects-of-intensive-speech-treatment-on-conversational-intelligibility-in-spanish-speakers-with-parkinson-s-disease
#7
Gemma Moya-Galé, Alireza Goudarzi, Àngels Bayés, Megan McAuliffe, Bram Bulté, Erika S Levy
Purpose: The purpose of this study was to examine the effects of intensive speech treatment on the conversational intelligibility of Castilian Spanish speakers with Parkinson's disease (PD), as well as on the speakers' self-perceptions of disability. Method: Fifteen speakers with a medical diagnosis of PD participated in this study. Speech recordings were completed twice before treatment, immediately posttreatment, and at a 1-month follow-up session. Conversational intelligibility was assessed in 2 ways-transcription accuracy scores and intelligibility ratings on a 9-point Likert scale...
January 19, 2018: American Journal of Speech-language Pathology
https://www.readbyqxmd.com/read/29351297/a-fast-combination-method-in-dsmt-and-its-application-to-recommender-system
#8
Yilin Dong, Xinde Li, Yihai Liu
In many applications involving epistemic uncertainties usually modeled by belief functions, it is often necessary to approximate general (non-Bayesian) basic belief assignments (BBAs) to subjective probabilities (called Bayesian BBAs). This necessity occurs if one needs to embed the fusion result in a system based on the probabilistic framework and Bayesian inference (e.g. tracking systems), or if one needs to make a decision in the decision making problems. In this paper, we present a new fast combination method, called modified rigid coarsening (MRC), to obtain the final Bayesian BBAs based on hierarchical decomposition (coarsening) of the frame of discernment...
2018: PloS One
https://www.readbyqxmd.com/read/29351287/a-novel-association-rule-mining-approach-using-tid-intermediate-itemset
#9
Iyad Aqra, Tutut Herawan, Norjihan Abdul Ghani, Adnan Akhunzada, Akhtar Ali, Ramdan Bin Razali, Manzoor Ilahi, Kim-Kwang Raymond Choo
Designing an efficient association rule mining (ARM) algorithm for multilevel knowledge-based transactional databases that is appropriate for real-world deployments is of paramount concern. However, dynamic decision making that needs to modify the threshold either to minimize or maximize the output knowledge certainly necessitates the extant state-of-the-art algorithms to rescan the entire database. Subsequently, the process incurs heavy computation cost and is not feasible for real-time applications. The paper addresses efficiently the problem of threshold dynamic updation for a given purpose...
2018: PloS One
https://www.readbyqxmd.com/read/29351286/socio-economic-determinants-of-physical-activity-across-the-life-course-a-determinants-of-diet-and-physical-activity-dedipac-umbrella-literature-review
#10
Grainne O'Donoghue, Aileen Kennedy, Anna Puggina, Katina Aleksovska, Christoph Buck, Con Burns, Greet Cardon, Angela Carlin, Donatella Ciarapica, Marco Colotto, Giancarlo Condello, Tara Coppinger, Cristina Cortis, Sara D'Haese, Marieke De Craemer, Andrea Di Blasio, Sylvia Hansen, Licia Iacoviello, Johann Issartel, Pascal Izzicupo, Lina Jaeschke, Martina Kanning, Fiona Ling, Agnes Luzak, Giorgio Napolitano, Julie-Anne Nazare, Camille Perchoux, Caterina Pesce, Tobias Pischon, Angela Polito, Alessandra Sannella, Holger Schulz, Chantal Simon, Rhoda Sohun, Astrid Steinbrecher, Wolfgang Schlicht, Ciaran MacDonncha, Laura Capranica, Stefania Boccia
BACKGROUND: To date, the scientific literature on socioeconomic correlates and determinants of physical activity behaviours has been dispersed throughout a number of systematic reviews, often focusing on one factor (e.g. education or parental income) in one specific age group (e.g. pre-school children or adults). The aim of this umbrella review is to provide a comprehensive and systematic overview of the scientific literature from previously conducted research by summarising and synthesising the importance and strength of the evidence related to socioeconomic correlates and determinants of PA behaviours across the life course...
2018: PloS One
https://www.readbyqxmd.com/read/29351281/automatic-labeling-of-molecular-biomarkers-of-immunohistochemistry-images-using-fully-convolutional-networks
#11
Fahime Sheikhzadeh, Rabab K Ward, Dirk van Niekerk, Martial Guillaud
This paper addresses the problem of quantifying biomarkers in multi-stained tissues based on the color and spatial information of microscopy images of the tissue. A deep learning-based method that can automatically localize and quantify the regions expressing biomarker(s) in any selected area on a whole slide image is proposed. The deep learning network, which we refer to as Whole Image (WI)-Net, is a fully convolutional network whose input is the true RGB color image of a tissue and output is a map showing the locations of each biomarker...
2018: PloS One
https://www.readbyqxmd.com/read/29351262/imu-to-segment-assignment-and-orientation-alignment-for-the-lower-body-using-deep-learning
#12
Tobias Zimmermann, Bertram Taetz, Gabriele Bleser
Human body motion analysis based on wearable inertial measurement units (IMUs) receives a lot of attention from both the research community and the and industrial community. This is due to the significant role in, for instance, mobile health systems, sports and human computer interaction. In sensor based activity recognition, one of the major issues for obtaining reliable results is the sensor placement/assignment on the body. For inertial motion capture (joint kinematics estimation) and analysis, the IMU-to-segment (I2S) assignment and alignment are central issues to obtain biomechanical joint angles...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351254/bridge-structure-deformation-prediction-based-on-gnss-data-using-kalman-arima-garch-model
#13
Jingzhou Xin, Jianting Zhou, Simon X Yang, Xiaoqing Li, Yu Wang
Bridges are an essential part of the ground transportation system. Health monitoring is fundamentally important for the safety and service life of bridges. A large amount of structural information is obtained from various sensors using sensing technology, and the data processing has become a challenging issue. To improve the prediction accuracy of bridge structure deformation based on data mining and to accurately evaluate the time-varying characteristics of bridge structure performance evolution, this paper proposes a new method for bridge structure deformation prediction, which integrates the Kalman filter, autoregressive integrated moving average model (ARIMA), and generalized autoregressive conditional heteroskedasticity (GARCH)...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351243/awake-versus-asleep-deep-brain-stimulation-surgery-technical-considerations-and-critical-review-of-the-literature
#14
REVIEW
Ryan B Kochanski, Sepehr Sani
Advancements in neuroimaging have led to a trend toward direct, image-based targeting under general anesthesia without the use of microelectrode recording (MER) or intraoperative test stimulation, also referred to as "asleep" deep brain stimulation (DBS) surgery. Asleep DBS, utilizing imaging in the form of intraoperative computed tomography (iCT) or magnetic resonance imaging (iMRI), has demonstrated reliable targeting accuracy of DBS leads implanted within the globus pallidus and subthalamic nucleus while also improving clinical outcomes in patients with Parkinson's disease...
January 19, 2018: Brain Sciences
https://www.readbyqxmd.com/read/29351240/machine-learning-and-infrared-thermography-for-fiber-orientation-assessment-on-randomly-oriented-strands-parts
#15
Henrique Fernandes, Hai Zhang, Alisson Figueiredo, Fernando Malheiros, Luis Henrique Ignacio, Stefano Sfarra, Clemente Ibarra-Castanedo, Gilmar Guimaraes, Xavier Maldague
The use of fiber reinforced materials such as randomly-oriented strands has grown in recent years, especially for manufacturing of aerospace composite structures. This growth is mainly due to their advantageous properties: they are lighter and more resistant to corrosion when compared to metals and are more easily shaped than continuous fiber composites. The resistance and stiffness of these materials are directly related to their fiber orientation. Thus, efficient approaches to assess their fiber orientation are in demand...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351235/quadrilateral-micro-hole-array-machining-on-invar-thin-film-wet-etching-and-electrochemical-fusion-machining
#16
Woong-Kirl Choi, Seong-Hyun Kim, Seung-Geon Choi, Eun-Sang Lee
Ultra-precision products which contain a micro-hole array have recently shown remarkable demand growth in many fields, especially in the semiconductor and display industries. Photoresist etching and electrochemical machining are widely known as precision methods for machining micro-holes with no residual stress and lower surface roughness on the fabricated products. The Invar shadow masks used for organic light-emitting diodes (OLEDs) contain numerous micro-holes and are currently machined by a photoresist etching method...
January 19, 2018: Materials
https://www.readbyqxmd.com/read/29351223/a-novel-walking-detection-and-step-counting-algorithm-using-unconstrained-smartphones
#17
Xiaomin Kang, Baoqi Huang, Guodong Qi
Recently, with the development of artificial intelligence technologies and the popularity of mobile devices, walking detection and step counting have gained much attention since they play an important role in the fields of equipment positioning, saving energy, behavior recognition, etc. In this paper, a novel algorithm is proposed to simultaneously detect walking motion and count steps through unconstrained smartphones in the sense that the smartphone placement is not only arbitrary but also alterable. On account of the periodicity of the walking motion and sensitivity of gyroscopes, the proposed algorithm extracts the frequency domain features from three-dimensional (3D) angular velocities of a smartphone through FFT (fast Fourier transform) and identifies whether its holder is walking or not irrespective of its placement...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351221/mechanical-structural-design-of-a-mems-based-piezoresistive-accelerometer-for-head-injuries-monitoring-a-computational-analysis-by-increments-of-the-sensor-mass-moment-of-inertia
#18
Marco Messina, James Njuguna, Chrysovalantis Palas
This work focuses on the proof-mass mechanical structural design improvement of a tri-axial piezoresistive accelerometer specifically designed for head injuries monitoring where medium-G impacts are common; for example, in sports such as racing cars or American Football. The device requires the highest sensitivity achievable with a single proof-mass approach, and a very low error (<1%) as the accuracy for these types of applications is paramount. The optimization method differs from previous work as it is based on the progressive increment of the sensor proof-mass mass moment of inertia (MMI) in all three axes...
January 19, 2018: Sensors
https://www.readbyqxmd.com/read/29351123/accuracy-of-18f-naf-pet-ct-in-bone-metastasis-detection-and-its-effect-on-patient-management-in-patients-with-breast-carcinoma
#19
Wouter A M Broos, Friso M van der Zant, Maurits Wondergem, Remco J J Knol
OBJECTIVE: Determination of the accuracy of sodium fluorine-18-fluoride (F-NaF) PET/computed tomography (CT) for the evaluation of bone metastases, and the impact on patient management in breast cancer patients. PATIENTS AND METHODS: Patients with breast cancer, referred for F-NaF PET/CT between February 2014 and June 2016, were included in a database. Baseline characteristics, clinical indication, definitive diagnosis according to follow-up data, as well as changes in patient management were recorded...
January 18, 2018: Nuclear Medicine Communications
https://www.readbyqxmd.com/read/29351121/serum-immunoglobulin-g4-in-discriminating-autoimmune-pancreatitis-from-pancreatic-cancer-a-diagnostic-meta-analysis
#20
Cong Dai, Qin Cao, Min Jiang, Ming-Jun Sun
OBJECTIVE: Differentiation between autoimmune pancreatitis (AIP) and pancreatic cancer (PC) is a clinical challenge. Emerging published data on the accuracy of serum immunoglobulin G4 (IgG4) for the differential diagnosis between AIP and PC are inconsistent. The objective of our study was to perform a meta-analysis evaluating the clinical utility of serum IgG4 in the differential diagnosis between AIP and PC. METHODS: We performed a systematic literature search of multiple electronic databases...
January 18, 2018: Pancreas
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