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https://www.readbyqxmd.com/read/29786841/development-of-a-chlorine-dosing-strategy-for-fresh-produce-washing-process-to-maintain-microbial-food-safety-and-minimize-residual-chlorine
#1
Xi Chen, Yen-Con Hung
The residual free chlorine level in fresh produce wash solution is closely correlated to the chemical and microbial safety of produce. Excess amount of free chlorine can quickly react with organic matters to form hazardous disinfection by-products (DBPs) above EPA-permitted levels, whereas deficiency of residual chlorine in produce wash solution may result in incompletely removing pathogens on produce. The purpose of this study was to develop a chlorine dosing strategy to optimize the chlorine dosage during produce washing process without impacting the microbial safety of fresh produce...
May 22, 2018: Journal of Food Science
https://www.readbyqxmd.com/read/29786449/fault-detection-based-on-near-infrared-spectra-for-the-oil-desalting-process
#2
Xiaoli Luan, Minjun Jin, Fei Liu
The fault detection problem of the oil desalting process is investigated in this paper. Different from the traditional fault detection approaches based on measurable process variables, near-infrared (NIR) spectroscopy is applied to acquire the process fault information from the molecular vibrational signal. With the molecular spectra data, principal component analysis was explored to calculate the Hotelling T2 and squared prediction error, which act as fault indicators. Compared with the traditional fault detection approach based on measurable process variables, NIR spectra-based fault detection illustrates more sensitivity to early failure because of the fact that the changes in the molecular level can be identified earlier than the physical appearances on the process...
January 1, 2018: Applied Spectroscopy
https://www.readbyqxmd.com/read/29785545/development-of-gp-and-gep-models-to-estimate-an-environmental-issue-induced-by-blasting-operation
#3
Roohollah Shirani Faradonbeh, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi
Air overpressure (AOp) is one of the most adverse effects induced by blasting in the surface mines and civil projects. So, proper evaluation and estimation of the AOp is important for minimizing the environmental problems resulting from blasting. The main aim of this study is to estimate AOp produced by blasting operation in Miduk copper mine, Iran, developing two artificial intelligence models, i.e., genetic programming (GP) and gene expression programming (GEP). Then, the accuracy of the GP and GEP models has been compared to multiple linear regression (MLR) and three empirical models...
May 21, 2018: Environmental Monitoring and Assessment
https://www.readbyqxmd.com/read/29785491/follow-up-of-negative-mri-targeted-prostate-biopsies-when-are-we-missing-cancer
#4
Samuel A Gold, Graham R Hale, Jonathan B Bloom, Clayton P Smith, Kareem N Rayn, Vladimir Valera, Bradford J Wood, Peter L Choyke, Baris Turkbey, Peter A Pinto
INTRODUCTION: Multiparametric magnetic resonance imaging (mpMRI) has improved clinicians' ability to detect clinically significant prostate cancer (csPCa). Combining or fusing these images with the real-time imaging of transrectal ultrasound (TRUS) allows urologists to better sample lesions with a targeted biopsy (Tbx) leading to the detection of greater rates of csPCa and decreased rates of low-risk PCa. In this review, we evaluate the technical aspects of the mpMRI-guided Tbx procedure to identify possible sources of error and provide clinical context to a negative Tbx...
May 21, 2018: World Journal of Urology
https://www.readbyqxmd.com/read/29785391/how-monte-carlo-heuristics-aid-to-identify-the-physical-processes-of-drug-release-kinetics
#5
Paola Lecca
We implement a Monte Carlo heuristic algorithm to model drug release from a solid dosage form. We show that with Monte Carlo simulations it is possible to identify and explain the causes of the unsatisfactory predictive power of current drug release models. It is well known that the power-law, the exponential models, as well as those derived from or inspired by them accurately reproduce only the first 60% of the release curve of a drug from a dosage form. In this study, by using Monte Carlo simulation approaches, we show that these models fit quite accurately almost the entire release profile when the release kinetics is not governed by the coexistence of different physico-chemical mechanisms...
2018: MethodsX
https://www.readbyqxmd.com/read/29783231/allergenic-weed-pollen-forecast-under-the-mathematical-modeling-method-implementation-in-ukraine
#6
Irina I Motruk, Michael Yu Antomonov, Victoria V Rodinkova, Olena E Aleksandrova, Oleh V Yermishev
OBJECTIVE: Introduction: Allergies are the most common reason of the chronic diseases in developed countries and represent an important medical, social and economic issue, the relevance of which is growing both in these countries and in Ukraine. The most famous of these allergens group is the pollen of ambrosia and pollen of poaceae, which are ubiquitously distributed in the subtropical and temperate climate. The aim: The objective of our study was to develop the mathematical models, which will be able to indicate the probability of the pollen circulation, and thus these models can simplify the forecast of symptoms risk and improve the prophylaxis of pollinosis...
2018: Wiadomości Lekarskie: Organ Polskiego Towarzystwa Lekarskiego
https://www.readbyqxmd.com/read/29783079/altered-neural-encoding-of-prediction-errors-in-assault-related-posttraumatic-stress-disorder
#7
Marisa C Ross, Jennifer K Lenow, Clinton D Kilts, Josh M Cisler
Posttraumatic stress disorder (PTSD) is widely associated with deficits in extinguishing learned fear responses, which relies on mechanisms of reinforcement learning (e.g., updating expectations based on prediction errors). However, the degree to which PTSD is associated with impairments in general reinforcement learning (i.e., outside of the context of fear stimuli) remains poorly understood. Here, we investigate brain and behavioral differences in general reinforcement learning between adult women with and without a current diagnosis of PTSD...
May 12, 2018: Journal of Psychiatric Research
https://www.readbyqxmd.com/read/29782997/measurement-error-and-timing-of-predictor-values-for-multivariable-risk-prediction-models-are-poorly-reported
#8
REVIEW
Rebecca Whittle, George Peat, John Belcher, Gary S Collins, Richard D Riley
OBJECTIVE: Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. METHODS: A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted...
May 18, 2018: Journal of Clinical Epidemiology
https://www.readbyqxmd.com/read/29782501/disentangling-the-complexity-of-tropical-small-scale-fisheries-dynamics-using-supervised-self-organizing-maps
#9
Manuel Mendoza-Carranza, Elisabet Ejarque, Leopold A J Nagelkerke
Tropical small-scale fisheries are typical for providing complex multivariate data, due to their diversity in fishing techniques and highly diverse species composition. In this paper we used for the first time a supervised Self-Organizing Map (xyf-SOM), to recognize and understand the internal heterogeneity of a tropical marine small-scale fishery, using as model the fishery fleet of San Pedro port, Tabasco, Mexico. We used multivariate data from commercial logbooks, including the following four factors: fish species (47), gear types (bottom longline, vertical line+shark longline and vertical line), season (cold, warm), and inter-annual variation (2007-2012)...
2018: PloS One
https://www.readbyqxmd.com/read/29781412/imported-cases-and-minimum-temperature-drive-dengue-transmission-in-guangzhou-china-evidence-from-arimax-model
#10
Q L Jing, Q Cheng, J M Marshall, W B Hu, Z C Yang, J H Lu
Dengue is the fastest spreading mosquito-transmitted disease in the world. In China, Guangzhou City is believed to be the most important epicenter of dengue outbreaks although the transmission patterns are still poorly understood. We developed an autoregressive integrated moving average model incorporating external regressors to examine the association between the monthly number of locally acquired dengue infections and imported cases, mosquito densities, temperature and precipitation in Guangzhou. In multivariate analysis, imported cases and minimum temperature (both at lag 0) were both associated with the number of locally acquired infections (P < 0...
May 21, 2018: Epidemiology and Infection
https://www.readbyqxmd.com/read/29780972/a-general-method-for-predicting-amino-acid-residues-experiencing-hydrogen-exchange
#11
Boshen Wang, Alan Perez-Rathke, Renhao Li, Jie Liang
Information on protein hydrogen exchange can help delineate key regions involved in protein-protein interactions and provides important insight towards determining functional roles of genetic variants and their possible mechanisms in disease processes. Previous studies have shown that the degree of hydrogen exchange is affected by hydrogen bond formations, solvent accessibility, proximity to other residues, and experimental conditions. However, a general predictive method for identifying residues capable of hydrogen exchange transferable to a broad set of proteins is lacking...
March 2018: IEEE-EMBS International Conference on Biomedical and Health Informatics
https://www.readbyqxmd.com/read/29780524/identification-of-pt-based-catalysts-for-propane-dehydrogenation-via-a-probability-analysis
#12
Shenjun Zha, Guodong Sun, Tengfang Wu, Jiubing Zhao, Zhi-Jian Zhao, Jinlong Gong
The intrinsic errors due to functionals are always a concern on the reliability of the predicted catalytic performance by density functional theory. This paper describes a probability-based computational screening study, which has successfully identified an optimal bimetallic alloy (Pt3 In) for the propane dehydrogenation reaction (PDH). Considering DFT uncertainty, Pt3 In was found to have an activity comparable to that of pure Pt and Pt3 Sn. Meanwhile, Pt3 In shows a considerable improvement in the propylene selectivity compared with pure Pt...
April 28, 2018: Chemical Science
https://www.readbyqxmd.com/read/29780271/development-and-evaluation-of-the-r-line-model-algorithms-to-account-for-chemical-transformation-in-the-near-road-environment
#13
Alejandro Valencia, Akula Venkatram, David Heist, David Carruthers, Saravanan Arunachalam
With increased urbanization, there is increased mobility leading to higher amount of traffic-related activity on a global scale. Most NOx from combustion sources (about 90-95%) are emitted as NO, which is then readily converted to NO2 in the ambient air, while the remainder is emitted largely as NO2 . Thus, the bulk of ambient NO2 is formed due to secondary production in the atmosphere, and which R-LINE cannot predict given that it can only model the dispersion of primary air pollutants. NO2 concentrations near major roads are appreciably higher than those measured at monitors in existing networks in urban areas, motivating a need to incorporate a mechanism in R-LINE to account for NO2 formation...
2018: Transportation Research. Part D, Transport and Environment
https://www.readbyqxmd.com/read/29780218/additive-function-on-function-regression
#14
Janet S Kim, Ana-Maria Staicu, Arnab Maity, Raymond J Carroll, David Ruppert
We study additive function-on-function regression where the mean response at a particular time point depends on the time point itself, as well as the entire covariate trajectory. We develop a computationally efficient estimation methodology based on a novel combination of spline bases with an eigenbasis to represent the trivariate kernel function. We discuss prediction of a new response trajectory, propose an inference procedure that accounts for total variability in the predicted response curves, and construct pointwise prediction intervals...
2018: Journal of Computational and Graphical Statistics
https://www.readbyqxmd.com/read/29780044/-effect-of-misregistration-between-spect-and-ct-images-on-attenuation-correction-for-quantitative-bone-spect-imaging
#15
Mika Sakoshi, Norikazu Matsutomo, Tomoaki Yamamoto, Eisuke Sato
PURPOSE: The aim of this study was to evaluate the effect of misregistration between single-photon emission computed tomography (SPECT) and computed tomography (CT) images on bone SPECT. METHODS: We acquired SPECT and CT images of a body phantom filled with bone-equivalent solution and 99m Tc for evaluation of bone SPECT. SPECT images were reconstructed using attenuation correction maps obtained by shifting the attenuation coefficients from non-shifted values (reference)...
2018: Nihon Hoshasen Gijutsu Gakkai Zasshi
https://www.readbyqxmd.com/read/29779888/adaptive-color-gain-for-vena-contracta-quantification-in-valvular-regurgitation
#16
Pawel Kozlowski, Alfonso Rodriguez-Molares, Thor Andreas Tangen, Kjell Kristoffersen, Hans Torp, Olivier Gerard, Eigil Samset
Severe valvular regurgitation can lead to pulmonary hypertension, atrial fibrillation and heart failure. Vena contracta width is used to estimate the severity of the regurgitation. Parameters affecting visualization of color Doppler have a significant impact on the measurement. We propose a data-driven method for automated adjustment of color gain based on the peak power of the color Doppler signal in the vicinity of the vena contracta. A linear regression model trained on the peak power was used to predict the orifice diameter...
May 17, 2018: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/29779789/local-interaction-signal-analysis-predicts-protein-protein-binding-affinity
#17
Raffaele Raucci, Elodie Laine, Alessandra Carbone
Several models estimating the strength of the interaction between proteins in a complex have been proposed. By exploring the geometry of contact distribution at protein-protein interfaces, we provide an improved model of binding energy. Local interaction signal analysis (LISA) is a radial function based on terms describing favorable and non-favorable contacts obtained by density functional theory, the support-core-rim interface residue distribution, non-interacting charged residues and secondary structures contribution...
April 28, 2018: Structure
https://www.readbyqxmd.com/read/29778926/a-computational-approach-to-estimate-postmortem-interval-using-opacity-development-of-eye-for-human-subjects
#18
İsmail Cantürk, Lale Özyılmaz
This paper presents an approach to postmortem interval (PMI) estimation, which is a very debated and complicated area of forensic science. Most of the reported methods to determine PMI in the literature are not practical because of the need for skilled persons and significant amounts of time, and give unsatisfactory results. Additionally, the error margin of PMI estimation increases proportionally with elapsed time after death. It is crucial to develop practical PMI estimation methods for forensic science. In this study, a computational system is developed to determine the PMI of human subjects by investigating postmortem opacity development of the eye...
May 17, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29778803/age-affects-reinforcement-learning-through-dopamine-based-learning-imbalance-and-high-decision-noise-not-through-parkinsonian-mechanisms
#19
Ravi B Sojitra, Itamar Lerner, Jessica R Petok, Mark A Gluck
Probabilistic reinforcement learning declines in healthy cognitive aging. While some findings suggest impairments are especially conspicuous in learning from rewards, resembling deficits in Parkinson's disease, others also show impairments in learning from punishments. To reconcile these findings, we tested 252 adults from 3 age groups on a probabilistic reinforcement learning task, analyzed trial-by-trial performance with a Q-reinforcement learning model, and correlated both fitted model parameters and behavior to polymorphisms in dopamine-related genes...
April 19, 2018: Neurobiology of Aging
https://www.readbyqxmd.com/read/29778013/using-google-trends-and-ambient-temperature-to-predict-seasonal-influenza-outbreaks
#20
Yuzhou Zhang, Hilary Bambrick, Kerrie Mengersen, Shilu Tong, Wenbiao Hu
BACKGROUND: The discovery of the dynamics of seasonal and non-seasonal influenza outbreaks remains a great challenge. Previous internet-based surveillance studies built purely on internet or climate data do have potential error. METHODS: We collected influenza notifications, temperature and Google Trends (GT) data between January 1st, 2011 and December 31st, 2016. We performed time-series cross correlation analysis and temporal risk analysis to discover the characteristics of influenza epidemics in the period...
May 16, 2018: Environment International
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