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https://www.readbyqxmd.com/read/28922858/contributions-of-the-medial-prefrontal-cortex-to-social-influence-in-economic-decision-making
#1
M A J Apps, N Ramnani
Economic decisions are guided by highly subjective reward valuations (SVs). Often these SVs are over-ridden when individuals conform to social norms. Yet, the neural mechanisms that underpin the distinct processing of such normative reward valuations (NVs) are poorly understood. The dorsomedial and ventromedial portions of the prefrontal cortex (dmPFC/vmPFC) are putatively key regions for processing social and economic information respectively. However, the contribution of these regions to economic decisions guided by social norms is unclear...
September 1, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28922835/rewards-and-cognitive-control-in-the-human-prefrontal-cortex
#2
Sandrine Duverne, Etienne Koechlin
The human prefrontal cortex (PFC) subserves cognitive control, that is, the ability to form behavioral strategies that coordinate actions and thoughts in relation to internal goals. Cognitive control involves the medial and lateral PFC but we still poorly understand how these regions guide strategy selection according to expected rewards. We addressed this issue using neuroimaging, computational modeling and model-based analyses of information flows between medial and lateral PFC. We show here that the (dorsal) medial PFC encodes and conveys to lateral PFC reward expectations driving strategy selection, while strategy selection originates in lateral PFC and propagates backward to medial PFC...
October 1, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28922667/integrated-strategy-for-mutagenicity-prediction-applied-to-food-contact-chemicals
#3
Serena Manganelli, Benoît Schilter, Emilio Benfenati, Alberto Manganaro, Elena Lo Piparo
Food contamination due to unintentional leakage of chemicals from food contact materials (FCM) is a source of increasing concern. Since for many of these substances, only limited or no toxicological data are available, the development of alternative methodologies to establish rapidly and cost-efficiently level of safety concern is critical to ensure adequate consumer protection. Computational toxicology methods are considered the most promising solutions to cope with this data gap. In particular, mutagenicity assessment has a particular relevance and is a mandatory requirement for all substances released from plastic FCM, regardless how low migration and exposure are...
September 18, 2017: ALTEX
https://www.readbyqxmd.com/read/28922664/patchy-particles-made-by-colloidal-fusion
#4
Zhe Gong, Theodore Hueckel, Gi-Ra Yi, Stefano Sacanna
Patches on the surfaces of colloidal particles provide directional information that enables the self-assembly of the particles into higher-order structures. Although computational tools can make quantitative predictions and can generate design rules that link the patch motif of a particle to its internal microstructure and to the emergent properties of the self-assembled materials, the experimental realization of model systems of particles with surface patches (or 'patchy' particles) remains a challenge. Synthetic patchy colloidal particles are often poor geometric approximations of the digital building blocks used in simulations and can only rarely be manufactured in sufficiently high yields to be routinely used as experimental model systems...
September 18, 2017: Nature
https://www.readbyqxmd.com/read/28922650/constitutive-modeling-of-the-passive-inflation-extension-behavior-of-the-swine-colon
#5
Bhavesh Patel, Huan Chen, Aashish Ahuja, Joshua F Krieger, Jillian Noblet, Sean Chambers, Ghassan S Kassab
In the present work, we propose the first structural constitutive model of the passive mechanical behavior of the swine colon that is validated against physiological inflation-extension tests, and accounts for residual strains. Sections from the spiral colon and the descending colon were considered to investigate potential regional variability. We found that the proposed constitutive model accurately captures the passive inflation-extension behavior of both regions of the swine colon (coefficient of determination R(2)=0...
August 31, 2017: Journal of the Mechanical Behavior of Biomedical Materials
https://www.readbyqxmd.com/read/28922595/a-new-order-parameter-based-method-for-characterizing-radiation-damage-in-amorphous-materials
#6
Nikolaos Galanakis, Karl Patrick Travis
We present a new method of characterizing damage arising from α-recoil cascades in amorphous materials including glasses. The approach taken is topological, yielding information of atom connectivity and utilizing complete sets of orthogonal functions (spherical harmonics and Hermite functions) to compute order parameters. The utility of our new approach is demonstrated by first applying it to models of radiation damaged crystalline zircon, enabling validation against the standard defect counting method (Wigner-Seitz)...
September 18, 2017: Langmuir: the ACS Journal of Surfaces and Colloids
https://www.readbyqxmd.com/read/28922416/multi-level-computational-methods-for-interdisciplinary-research-in-the-hathitrust-digital-library
#7
Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence, Chris Reed
We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology...
2017: PloS One
https://www.readbyqxmd.com/read/28922380/the-warburg-effect-as-an-adaptation-of-cancer-cells-to-rapid-fluctuations-in-energy-demand
#8
Tamir Epstein, Robert A Gatenby, Joel S Brown
To maintain optimal fitness, a cell must balance the risk of inadequate energy reserve for response to a potentially fatal perturbation against the long-term cost of maintaining high concentrations of ATP to meet occasional spikes in demand. Here we apply a game theoretic approach to address the dynamics of energy production and expenditure in eukaryotic cells. Conventionally, glucose metabolism is viewed as a function of oxygen concentrations in which the more efficient oxidation of glucose to CO2 and H2O produces all or nearly all ATP except under hypoxic conditions when less efficient (2 ATP/ glucose vs...
2017: PloS One
https://www.readbyqxmd.com/read/28922377/c-reactive-protein-upregulates-the-whole-blood-expression-of-cd59-an-integrative-analysis
#9
Kaido Lepik, Tarmo Annilo, Viktorija Kukuškina, Kai Kisand, Zoltán Kutalik, Pärt Peterson, Hedi Peterson
Elevated C-reactive protein (CRP) concentrations in the blood are associated with acute and chronic infections and inflammation. Nevertheless, the functional role of increased CRP in multiple bacterial and viral infections as well as in chronic inflammatory diseases remains unclear. Here, we studied the relationship between CRP and gene expression levels in the blood in 491 individuals from the Estonian Biobank cohort, to elucidate the role of CRP in these inflammatory mechanisms. As a result, we identified a set of 1,614 genes associated with changes in CRP levels with a high proportion of interferon-stimulated genes...
September 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28922355/image-identification-from-brain-activity-using-the-population-receptive-field-model
#10
Wietske Zuiderbaan, Ben M Harvey, Serge O Dumoulin
A goal of computational models is not only to explain experimental data but also to make new predictions. A current focus of computational neuroimaging is to predict features of the presented stimulus from measured brain signals. These computational neuroimaging approaches may be agnostic about the underlying neural processes or may be biologically inspired. Here, we use the biologically inspired population receptive field (pRF) approach to identify presented images from fMRI recordings of the visual cortex, using an explicit model of the underlying neural response selectivity...
2017: PloS One
https://www.readbyqxmd.com/read/28922354/reconstructing-promoter-activity-from-lux-bioluminescent-reporters
#11
Mudassar Iqbal, Neil Doherty, Anna M L Page, Saara N A Qazi, Ishan Ajmera, Peter A Lund, Theodore Kypraios, David J Scott, Philip J Hill, Dov J Stekel
The bacterial Lux system is used as a gene expression reporter. It is fast, sensitive and non-destructive, enabling high frequency measurements. Originally developed for bacterial cells, it has also been adapted for eukaryotic cells, and can be used for whole cell biosensors, or in real time with live animals without the need for euthanasia. However, correct interpretation of bioluminescent data is limited: the bioluminescence is different from gene expression because of nonlinear molecular and enzyme dynamics of the Lux system...
September 18, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28922351/estimation-of-the-mechanical-properties-of-the-eye-through-the-study-of-its-vibrational-modes
#12
M Á Aloy, J E Adsuara, P Cerdá-Durán, M Obergaulinger, J J Esteve-Taboada, T Ferrer-Blasco, R Montés-Micó
Measuring the eye's mechanical properties in vivo and with minimally invasive techniques can be the key for individualized solutions to a number of eye pathologies. The development of such techniques largely relies on a computational modelling of the eyeball and, it optimally requires the synergic interplay between experimentation and numerical simulation. In Astrophysics and Geophysics the remote measurement of structural properties of the systems of their realm is performed on the basis of (helio-)seismic techniques...
2017: PloS One
https://www.readbyqxmd.com/read/28922161/comorbidity-analysis-between-alzheimer-s-disease-and-type-2-diabetes-mellitus-t2dm-based-on-shared-pathways-and-the-role-of-t2dm-drugs
#13
Reagon Karki, Alpha Tom Kodamullil, Martin Hofmann-Apitius
BACKGROUND: Various studies suggest a comorbid association between Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) indicating that there could be shared underlying pathophysiological mechanisms. OBJECTIVE: This study aims to systematically model relevant knowledge at the molecular level to find a mechanistic rationale explaining the existing comorbid association between AD and T2DM. METHOD: We have used a knowledge-based modeling approach to build two network models for AD and T2DM using Biological Expression Language (BEL), which is capable of capturing and representing causal and correlative relationships at both molecular and clinical levels from various knowledge resources...
September 8, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28922141/towards-an-in-plane-methodology-to-track-breast-lesions-by-using-mammograms-and-patient-specific-finite-element-simulations
#14
Andres Lapuebla-Ferri, Jose Cegoñino-Banzo, Antonio-Jose Jimenez-Mocholi, Amaya Perez Del Palomar
In breast cancer screening or diagnosis, it is usual to combine different images in order to locate a lesion as accurately as possible. These images are generated by using a single or several imaging techniques. As X-ray based mammography is used widespread, a breast lesion is located in the same plane of the image (mammogram), but tracking of a breast lesion across mammograms corresponding to different views is a daring task for medical physicians. According to this, simulation tools and methodologies that use patient-specific numerical models can facilitate the task of fusing information from different images...
September 18, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28922132/design-of-secure-and-lightweight-authentication-protocol-for-wearable-devices-environment
#15
Ashok Kumar Das, Mohammad Wazid, Neeraj Kumar, Muhammad Khurram Khan, Kim-Kwang Raymond Choo, YoungHo Park
Wearable devices are used in various applications to collect information including step information, sleeping cycles, workout statistics, and health related information. Due to the nature and richness of the data collected by such devices, it is important to ensure the security of the collected data. This paper presents a new lightweight authentication scheme suitable for wearable device deployment. The scheme allows a user to mutually authenticate his/her wearable device(s) and the mobile terminal (e.g., Android and iOS device) and establish a session key among these devices (worn and carried by the same user) for secure communication between the wearable device and the mobile terminal...
September 18, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28922127/jointly-learning-structured-analysis-discriminative-dictionary-and-analysis-multiclass-classifier
#16
Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
In this paper, we propose an analysis mechanism-based structured analysis discriminative dictionary learning (ADDL) framework. The ADDL seamlessly integrates ADDL, analysis representation, and analysis classifier training into a unified model. The applied analysis mechanism can make sure that the learned dictionaries, representations, and linear classifiers over different classes are independent and discriminating as much as possible. The dictionary is obtained by minimizing a reconstruction error and an analytical incoherence promoting term that encourages the subdictionaries associated with different classes to be independent...
September 14, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28922121/motion-blur-kernel-estimation-via-deep-learning
#17
Xiangyu Xu, Jinshan Pan, Yu-Jin Zhang, Ming-Hsuan Yang
The success of the state-of-the-art deblurring methods mainly depends on restoration of sharp edges in a coarse-tofine kernel estimation process. In this paper, we propose to learn a deep convolutional neural network for extracting sharp edges from blurred images. Motivated by the success of the existing filtering based deblurring methods, the proposed model consists of two stages: suppressing extraneous details and enhancing sharp edges. We show that the two-stage model simplifies the learning process and effectively restores sharp edges...
September 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28922118/a-fast-gradient-method-for-nonnegative-sparse-regression-with-self-dictionary
#18
Nicolas Gillis, Robert Luce
A nonnegative matrix factorization (NMF) can be computed efficiently under the separability assumption, which asserts that all the columns of the given input data matrix belong to the cone generated by a (small) subset of them. The provably most robust methods to identify these conic basis columns are based on nonnegative sparse regression and self dictionaries, and require the solution of large-scale convex optimization problems. In this paper we study a particular nonnegative sparse regression model with self dictionary...
September 18, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28922115/colour-constancy-beyond-the-classical-receptive-field
#19
Arash Akbarinia, C Alejandro Parraga
The problem of removing illuminant variations to preserve the colours of objects (colour constancy) has already been solved by the human brain using mechanisms that rely largely on centre-surround computations of local contrast. In this paper we adopt some of these biological solutions described by long known physiological findings into a simple, fully automatic, functional model (termed Adaptive Surround Modulation or ASM). In ASM, the size of a visual neuron's receptive field (RF) as well as the relationship with its surround varies according to the local contrast within the stimulus, which in turn determines the nature of the centre-surround normalisation of cortical neurons higher up in the processing chain...
September 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28921695/frequency-dependent-regulation-of-intrinsic-excitability-by-voltage-activated-membrane-conductances-computational-modeling-and-dynamic-clamp
#20
Attila Szűcs, Anikó Rátkai, Katalin Schlett, Ramon Huerta
As one of the most unique properties of nerve cells, their intrinsic excitability allows them to transform synaptic inputs into action potentials. This process reflects a complex interplay between the synaptic inputs and the voltage-dependent membrane currents of the postsynaptic neuron. While neurons in natural conditions mostly fire under the action of intense synaptic bombardment and receive fluctuating patterns of excitation and inhibition, conventional techniques to characterize intrinsic excitability mainly utilize static means of stimulation...
September 16, 2017: European Journal of Neuroscience
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