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https://www.readbyqxmd.com/read/29777857/study-of-the-influence-of-substrate-and-spectrophotometer-characteristics-on-the-in-vitro-measurement-of-sunscreens-efficiency
#1
C Couteau, A Philippe, M-A Vibet, E Paparis, L Coiffard
All the methods used for the in vitro measurement of the SPF, the universal indicator of sunscreens efficiency, rely on a spectrophotometric analysis. What can vary about the experimental protocol used is mainly the substrate and the type of spectrophotometer chosen. We decided to work with polymethylmetacrylate plates that we analyzed using two spectrophotometers equipped with integrating spheres, the UV1000S and the UV2000 apparatus. Two marketed products were such tested, after spreading 2 mg/cm2 on the plates, using one apparatus after another...
May 16, 2018: European Journal of Pharmaceutical Sciences
https://www.readbyqxmd.com/read/29777678/uva-riboflavin-collagen-crosslinking-stiffening-effects-on-anterior-and-posterior-corneal-flaps
#2
Hamed Hatami-Marbini, Sandeep M Jayaram
The UVA/riboflavin collagen crosslinking (CXL) is one of the treatment procedure for stopping the progression of keratoconus. The inclusion criterion for this procedure is a minimum corneal thickness of 400 μm, which is not often met in patients with advanced keratoconus. Preoperatively swelling of thin corneas was shown to stabilize the keratectasia without any postoperative endothelial damage. Recently, we have shown that swelling porcine corneas prior to the CXL treatment had no significant effect on the resulting improvement in their tensile properties...
May 16, 2018: Experimental Eye Research
https://www.readbyqxmd.com/read/29777650/modeling-dengue-vector-population-using-remotely-sensed-data-and-machine-learning
#3
Juan M Scavuzzo, Francisco Trucco, Manuel Espinosa, Carolina B Tauro, Marcelo Abril, Carlos M Scavuzzo, Alejandro C Frery
Mosquitoes are vectors of many human diseases. In particular, Aedes ægypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at combating this vector require dependable and timely information, which is usually expensive to obtain with field campaigns. For this reason, several efforts have been done to use remote sensing due to its reduced cost. The present work includes the temporal modeling of the oviposition activity (measured weekly on 50 ovitraps in a north Argentinean city) of Aedes ægypti (Linnaeus), based on time series of data extracted from operational earth observation satellite images...
May 16, 2018: Acta Tropica
https://www.readbyqxmd.com/read/29777580/context-encoding-enables-machine-learning-based-quantitative-photoacoustics
#4
Thomas Kirchner, Janek Gröhl, Lena Maier-Hein
Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide groundbreaking advances in the diagnosis and interventional therapy of various diseases. Although photoacoustic (PA) imaging is a modality with great potential to measure optical absorption deep inside tissue, quantification of the measurements remains a major challenge. We introduce the first machine learning-based approach to quantitative PA imaging (qPAI), which relies on learning the fluence in a voxel to deduce the corresponding optical absorption...
May 2018: Journal of Biomedical Optics
https://www.readbyqxmd.com/read/29777505/a-fingertip-force-prediction-model-for-grasp-patterns-characterised-from-the-chaotic-behaviour-of-eeg
#5
Rinku Roy, Debdeep Sikdar, Manjunatha Mahadevappa, C S Kumar
A stable grasp is attained through appropriate hand preshaping and precise fingertip forces. Here, we have proposed a method to decode grasp patterns from motor imagery and subsequent fingertip force estimation model with a slippage avoidance strategy. We have developed a feature-based classification of electroencephalography (EEG) associated with imagination of the grasping postures. Chaotic behaviour of EEG for different grasping patterns has been utilised to capture the dynamics of associated motor activities...
May 19, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29777432/qualitative-study-of-mechanical-parameters-of-conventional-diagnostic-x-ray-machines-in-mizoram
#6
Jonathan Lalrinmawia, Kham Suan Pau, Ramesh Chandra Tiwari
The present study examined the mechanical attributes of 135 conventional diagnostic X-ray machines in Mizoram, India. The purpose of studying the X-ray mechanical parameters, such as congruency, perpendicularity of the central beam, and half-value layer, was to improve the quality of the diagnostic image and reduce the patient dose. A battery-operated portable dosimeter was used to measure output radiation of the X-ray machine. The half-value layer was measured at a constant accelerating potential of 70 kVp and tube load...
May 18, 2018: Radiological Physics and Technology
https://www.readbyqxmd.com/read/29777147/prediction-of-moisture-content-for-congou-black-tea-withering-leaves-using-image-features-and-nonlinear-method
#7
Gaozhen Liang, Chunwang Dong, Bin Hu, Hongkai Zhu, Haibo Yuan, Yongwen Jiang, Guoshuang Hao
Withering is the first step in the processing of congou black tea. With respect to the deficiency of traditional water content detection methods, a machine vision based NDT (Non Destructive Testing) method was established to detect the moisture content of withered leaves. First, according to the time sequences using computer visual system collected visible light images of tea leaf surfaces, and color and texture characteristics are extracted through the spatial changes of colors. Then quantitative prediction models for moisture content detection of withered tea leaves was established through linear PLS (Partial Least Squares) and non-linear SVM (Support Vector Machine)...
May 18, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29777110/using-network-analysis-for-the-prediction-of-treatment-dropout-in-patients-with-mood-and-anxiety-disorders-a-methodological-proof-of-concept-study
#8
Wolfgang Lutz, Brian Schwartz, Stefan G Hofmann, Aaron J Fisher, Kristin Husen, Julian A Rubel
There are large health, societal, and economic costs associated with attrition from psychological services. The recently emerged, innovative statistical tool of complex network analysis was used in the present proof-of-concept study to improve the prediction of attrition. Fifty-eight patients undergoing psychological treatment for mood or anxiety disorders were assessed using Ecological Momentary Assessments four times a day for two weeks before treatment (3,248 measurements). Multilevel vector autoregressive models were employed to compute dynamic symptom networks...
May 18, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29777101/supramolecularly-directed-rotary-motion-in-a-photoresponsive-receptor
#9
Sander J Wezenberg, Ben L Feringa
Stimuli-controlled motion at the molecular level has fascinated chemists already for several decades. Taking inspiration from the myriad of dynamic and machine-like functions in nature, a number of strategies have been developed to control motion in purely synthetic systems. Unidirectional rotary motion, such as is observed in ATP synthase and other motor proteins, remains highly challenging to achieve. Current artificial molecular motor systems rely on intrinsic asymmetry or a specific sequence of chemical transformations...
May 18, 2018: Nature Communications
https://www.readbyqxmd.com/read/29776982/variable-effectiveness-of-stepwise-implementation-of-nudge-type-interventions-to-improve-provider-compliance-with-intraoperative-low-tidal-volume-ventilation
#10
Vikas N O'Reilly-Shah, George S Easton, Craig S Jabaley, Grant C Lynde
BACKGROUND: Identifying mechanisms to improve provider compliance with quality metrics is a common goal across medical disciplines. Nudge interventions are minimally invasive strategies that can influence behavioural changes and are increasingly used within healthcare settings. We hypothesised that nudge interventions may improve provider compliance with lung-protective ventilation (LPV) strategies during general anaesthesia. METHODS: We developed an audit and feedback dashboard that included information on both provider-level and department-level compliance with LPV strategies in two academic hospitals, two non-academic hospitals and two academic surgery centres affiliated with a single healthcare system...
May 18, 2018: BMJ Quality & Safety
https://www.readbyqxmd.com/read/29776429/assessing-adhd-symptoms-in-children-and-adults-evaluating-the-role-of-objective-measures
#11
Theresa S Emser, Blair A Johnston, J Douglas Steele, Sandra Kooij, Lisa Thorell, Hanna Christiansen
BACKGROUND: Diagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. Applying subjective measures always incorporates risks such as informant biases or large differences between ratings obtained from diverse sources. Furthermore, it has been demonstrated that ratings and tests seem to assess somewhat different constructs. The use of objective measures might thus yield valuable information for diagnosing ADHD. This study aims at evaluating the role of objective measures when trying to distinguish between individuals with ADHD and controls...
May 18, 2018: Behavioral and Brain Functions: BBF
https://www.readbyqxmd.com/read/29776169/effects-of-nucleosome-stability-on-remodeler-catalyzed-repositioning
#12
Aaron M Morgan, Sarah E LeGresley, Koan Briggs, Gada Al-Ani, Christopher J Fischer
Chromatin remodelers are molecular motors that play essential roles in the regulation of nucleosome positioning and chromatin accessibility. These machines couple the energy obtained from the binding and hydrolysis of ATP to the mechanical work of manipulating chromatin structure through processes that are not completely understood. Here we present a quantitative analysis of nucleosome repositioning by the imitation switch (ISWI) chromatin remodeler and demonstrate that nucleosome stability significantly impacts the observed activity...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29776147/sparse-dynamical-boltzmann-machine-for-reconstructing-complex-networks-with-binary-dynamics
#13
Yu-Zhong Chen, Ying-Cheng Lai
Revealing the structure and dynamics of complex networked systems from observed data is a problem of current interest. Is it possible to develop a completely data-driven framework to decipher the network structure and different types of dynamical processes on complex networks? We develop a model named sparse dynamical Boltzmann machine (SDBM) as a structural estimator for complex networks that host binary dynamical processes. The SDBM attains its topology according to that of the original system and is capable of simulating the original binary dynamical process...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29776137/numerical-simulation-of-three-component-multiphase-flows-at-high-density-and-viscosity-ratios-using-lattice-boltzmann-methods
#14
Reza Haghani Hassan Abadi, Abbas Fakhari, Mohammad Hassan Rahimian
In this paper, we propose a multiphase lattice Boltzmann model for numerical simulation of ternary flows at high density and viscosity ratios free from spurious velocities. The proposed scheme, which is based on the phase-field modeling, employs the Cahn-Hilliard theory to track the interfaces among three different fluid components. Several benchmarks, such as the spreading of a liquid lens, binary droplets, and head-on collision of two droplets in binary- and ternary-fluid systems, are conducted to assess the reliability and accuracy of the model...
March 2018: Physical Review. E
https://www.readbyqxmd.com/read/29775912/an-accurate-sleep-stages-classification-system-using-a-new-class-of-optimally-time-frequency-localized-three-band-wavelet-filter-bank
#15
Manish Sharma, Deepanshu Goyal, P V Achuth, U Rajendra Acharya
Sleep related disorder causes diminished quality of lives in human beings. Sleep scoring or sleep staging is the process of classifying various sleep stages which helps to detect the quality of sleep. The identification of sleep-stages using electroencephalogram (EEG) signals is an arduous task. Just by looking at an EEG signal, one cannot determine the sleep stages precisely. Sleep specialists may make errors in identifying sleep stages by visual inspection. To mitigate the erroneous identification and to reduce the burden on doctors, a computer-aided EEG based system can be deployed in the hospitals, which can help identify the sleep stages, correctly...
May 10, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29775322/prediction-of-human-cytochrome-p450-inhibition-using-a-multi-task-deep-autoencoder-neural-network
#16
Xiang Li, Youjun Xu, Luhua Lai, Jianfeng Pei
Adverse side effects of drug-drug interactions induced by human cytochrome P450 (CYP450) inhibition is an important consideration in drug discovery. It is highly desirable to develop computational models that can predict the inhibitive effect of a compound against a specific CYP450 isoform. In this study, we developed a multi-task model for concurrent inhibition prediction of five major CYP450 isoforms, namely 1A2, 2C9, 2C19, 2D6, and 3A4. The model was built by training multi-task autoencoder deep neural network (DNN) on a large dataset containing more than 13000 compounds, extracted from PubChem BioAssay Database...
May 18, 2018: Molecular Pharmaceutics
https://www.readbyqxmd.com/read/29775287/computational-prediction-and-analysis-for-tyrosine-post-translational-modifications-via-elastic-net
#17
Man Cao, Guodong Chen, Lina Wang, Pingping Wen, Shaoping Shi
The tyrosine residue has been identified as suffering three major post-translational modifications (PTMs) including nitration, sulfation, and phosphorylation, which could be involved in different physiological and pathological processes. Multiple tyrosine residues of the whole protein may be modified concurrently, where PTM of a single tyrosine may affect modification of other neighboring tyrosine residues. Hence, it is significant and beneficial to predict nitration, sulfation, and phosphorylation of tyrosine residues in the whole protein sequence...
May 18, 2018: Journal of Chemical Information and Modeling
https://www.readbyqxmd.com/read/29775203/optimal-two-stage-dynamic-treatment-regimes-from-a-classification-perspective-with-censored-survival-data
#18
Rebecca Hager, Anastasios A Tsiatis, Marie Davidian
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment options at each decision point, and thus formalizes this process. An optimal regime is one leading to the most beneficial outcome on average if used to select treatment for the patient population. We propose a method for estimation of an optimal regime involving two decision points when the outcome of interest is a censored survival time, which is based on maximizing a locally efficient, doubly robust, augmented inverse probability weighted estimator for average outcome over a class of regimes...
May 18, 2018: Biometrics
https://www.readbyqxmd.com/read/29775077/evaluating-the-influence-of-road-lighting-on-traffic-safety-at-accesses-using-an-artificial-neural-network
#19
Yueru Xu, Zhirui Ye, Yuan Wang, Chao Wang, Cuicui Sun
OBJECTIVES: This paper focuses on the effect of road lighting on road safety at accesses and tries to quantitatively analyze the relationship between road lighting and road safety. METHODS: An Artificial Neural Network (ANN) was applied in this study. This method is one of the most popular machine-learning methods in recent years and does not require any pre-defined assumptions. This method was applied using field data collected from ten road segments in Nanjing, Jiangsu Province, China...
May 18, 2018: Traffic Injury Prevention
https://www.readbyqxmd.com/read/29774657/cheminformatics-in-drug-discovery-an-industrial-perspective
#20
REVIEW
Hongming Chen, Thierry Kogej, Ola Engkvist
Cheminformatics has established itself as a core discipline within large scale drug discovery operations. It would be impossible to handle the amount of data generated today in a small molecule drug discovery project without persons skilled in cheminformatics. In addition, due to increased emphasis on "Big Data", machine learning and artificial intelligence, not only in the society in general, but also in drug discovery, it is expected that the cheminformatics field will be even more important in the future...
May 18, 2018: Molecular Informatics
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