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Merel Kindt
Current pharmacological and psychological treatments for disorders of emotional memory only dampen the affective response while leaving the original fear memory intact. Under adverse circumstances, these original memories regain prominence, causing relapses in many patients. The (re)discovery in neuroscience that after reactivation consolidated fear memories may return to a transient labile state, requiring a process of restabilization in order to persist, offers a window of opportunity for modifying fear memories with amnestic agents...
March 19, 2018: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
Azmat Ullah, Suheel Abdullah Malik, Khurram Saleem Alimgeer
In this paper, a hybrid heuristic scheme based on two different basis functions i.e. Log Sigmoid and Bernstein Polynomial with unknown parameters is used for solving the nonlinear heat transfer equations efficiently. The proposed technique transforms the given nonlinear ordinary differential equation into an equivalent global error minimization problem. Trial solution for the given nonlinear differential equation is formulated using a fitness function with unknown parameters. The proposed hybrid scheme of Genetic Algorithm (GA) with Interior Point Algorithm (IPA) is opted to solve the minimization problem and to achieve the optimal values of unknown parameters...
2018: PloS One
Emilio N M Cirillo, Matteo Colangeli
Uphill currents are observed when mass diffuses in the direction of the density gradient. We study this phenomenon in stationary conditions in the framework of locally perturbed one-dimensional zero range processes (ZRPs). We show that the onset of currents flowing from the reservoir with smaller density to the one with larger density can be caused by a local asymmetry in the hopping rates on a single site at the center of the lattice. For fixed injection rates at the boundaries, we prove that a suitable tuning of the asymmetry in the bulk may induce uphill diffusion at arbitrarily large, finite volumes...
November 2017: Physical Review. E
Mehrez Agnaou, Didier Lasseux, Azita Ahmadi
Inertial flow in porous media occurs in many situations of practical relevance among which one can cite flows in column reactors, in filters, in aquifers, or near wells for hydrocarbon recovery. It is characterized by a deviation from Darcy's law that leads to a nonlinear relationship between the pressure drop and the filtration velocity. In this work, this deviation, also known as the nonlinear, inertial, correction to Darcy's law, which is subject to controversy upon its origin and dependence on the filtration velocity, is studied through numerical simulations...
October 2017: Physical Review. E
Dekel Shapira, Doron Cohen
We analyze the full statistics of a stochastic squeeze process. The model's two parameters are the bare stretching rate w and the angular diffusion coefficient D. We carry out an exact analysis to determine the drift and the diffusion coefficient of log(r), where r is the radial coordinate. The results go beyond the heuristic lognormal description that is implied by the central limit theorem. Contrary to the common "quantum Zeno" approximation, the radial diffusion is not simply D_{r}=(1/8)w^{2}/D but has a nonmonotonic dependence on w/D...
October 2017: Physical Review. E
Christopher Spalding, Charles R Doering, Glenn R Flierl
Understanding the mechanisms governing population extinctions is of key importance to many problems in ecology and evolution. Stochastic factors are known to play a central role in extinction, but the interactions between a population's demographic stochasticity and environmental noise remain poorly understood. Here we model environmental forcing as a stochastic fluctuation between two states, one with a higher death rate than the other. We find that, in general, there exists a rate of fluctuations that minimizes the mean time to extinction, a phenomenon previously dubbed "resonant activation...
October 2017: Physical Review. E
Hamed Karimi, Gili Rosenberg, Helmut G Katzgraber
We present and apply a general-purpose, multistart algorithm for improving the performance of low-energy samplers used for solving optimization problems. The algorithm iteratively fixes the value of a large portion of the variables to values that have a high probability of being optimal. The resulting problems are smaller and less connected, and samplers tend to give better low-energy samples for these problems. The algorithm is trivially parallelizable since each start in the multistart algorithm is independent, and could be applied to any heuristic solver that can be run multiple times to give a sample...
October 2017: Physical Review. E
Maxwell W Libbrecht, Jeffrey A Bilmes, William Stafford Noble
Selecting a non-redundant representative subset of sequences is a common step in many bioinformatics workflows, such as the creation of non-redundant training sets for sequence and structural models or selection of "operational taxonomic units" from metagenomics data. Previous methods for this task, such as CD-HIT, PISCES and UCLUST, apply a heuristic threshold-based algorithm that has no theoretical guarantees. We propose a new approach based on submodular optimization. Submodular optimization, a discrete analogue to continuous convex optimization, has been used with great success for other representative set selection problems...
January 18, 2018: Proteins
Ana Domínguez Mon
Diabetes, a disease that constitutes a syndrome, is growing more quickly in societies with precarious living and working conditions. Daily care practices are fundamental in preventing it from progressing. This work shows the heuristic and interpretative value and the explanatory potential of an ethnographic approach and a gender perspective in the analysis of care practices in a group of elder adults living with type 2 diabetes. The research was carried out with diabetes group participants and health professionals in a primary healthcare center in José León Suárez, municipality of San Martín, province of Buenos Aires, during the period 2013-2016...
July 2017: Salud Colectiva
Inderdip Shere, Ateeque Malani
Silica polymerization has been extensively used to synthesize various fascinating materials for industrial and technological applications. The polymerization protocol is modified by altering several parameters (such as the concentration of the precursor, temperature, pH) heuristically to obtain the desired end product. To properly understand the effect of such parameters, knowledge of molecular events occurring during the process of polymerization is essential. In this work, we developed algorithms to capture molecular events such as translation, rotation, and reactions using the reaction ensemble Monte Carlo (REMC) technique...
January 16, 2018: Physical Chemistry Chemical Physics: PCCP
Stephen P Fitzgerald, Nigel G Bean
The prevailing teaching regarding homeostasis, and in particular endocrine homeostasis, includes the fundamental concept of a "set point," which represents a target or optimum level defended by physiological control mechanisms. Analogies for the description and teaching of this concept have included thermostats and cruise controls. We previously demonstrated that such a set-point model of regulation implies that in population data of parameter set point/controlling hormone levels, correlations between the parameter and its controlling hormone must be in the direction of the response of the parameter to its controlling hormone, and that in thyroid homeostasis this relationship is not observed...
January 2018: Physiological Reports
Po-Yin Yen, Daniel M Walker, Jessica M Garvey Smith, Michelle P Zhou, Terri L Menser, Ann Scheck McAlearney
OBJECTIVES: Patient portals designed for inpatients have potential to increase patient engagement. However, little is known about how patients use inpatient portals. To address this gap, we aimed to understand how users 1) interact with, 2) learn to use, and 3) communicate with their providers through an inpatient portal. MATERIALS AND METHODS: We conducted a usability evaluation using think-aloud protocol to study user interactions with a commercially available inpatient portal - MyChart Bedside (MCB)...
February 2018: International Journal of Medical Informatics
Roberto Limongi, Bartosz Bohaterewicz, Magdalena Nowicka, Aleksandra Plewka, Karl J Friston
Predictive coding and active inference formulations of the dysconnection hypothesis suggest that subjects with schizophrenia (SZ) hold unduly precise prior beliefs to compensate for a failure of sensory attenuation. This implies that SZ subjects should both initiate responses prematurely during evidence-accumulation tasks and fail to inhibit their responses at long stop-signal delays. SZ and healthy control subjects were asked to report the timing of billiards-ball collisions and were occasionally required to withhold their responses...
January 10, 2018: Schizophrenia Research
Monika Undorf, Anke Söllner, Arndt Bröder
There is much evidence that metacognitive judgments, such as people's predictions of their future memory performance (judgments of learning, JOLs), are inferences based on cues and heuristics. However, relatively little is known about whether and when people integrate multiple cues in one metacognitive judgment or focus on a single cue without integrating further information. The current set of experiments systematically addressed whether and to what degree people integrate multiple extrinsic and intrinsic cues in JOLs...
January 11, 2018: Memory & Cognition
Sebastian Vlaic, Theresia Conrad, Christian Tokarski-Schnelle, Mika Gustafsson, Uta Dahmen, Reinhard Guthke, Stefan Schuster
The identification of disease-associated modules based on protein-protein interaction networks (PPINs) and gene expression data has provided new insights into the mechanistic nature of diverse diseases. However, their identification is hampered by the detection of protein communities within large-scale, whole-genome PPINs. A presented successful strategy detects a PPIN's community structure based on the maximal clique enumeration problem (MCE), which is a non-deterministic polynomial time-hard problem. This renders the approach computationally challenging for large PPINs implying the need for new strategies...
January 11, 2018: Scientific Reports
Patrick L McDermott, Christopher K Wikle, Joshua Millspaugh
Analog forecasting is a mechanism-free nonlinear method that forecasts a system forward in time by examining how past states deemed similar to the current state moved forward. Previous applications of analog forecasting has been successful at producing robust forecasts for a variety of ecological and physical processes, but it has typically been presented in an empirical or heuristic procedure, rather than as a formal statistical model. The methodology presented here extends the model-based analog method of McDermott and Wikle (Environmetrics, 27, 2016, 70) by placing analog forecasting within a fully hierarchical statistical framework that can accommodate count observations...
January 2018: Ecology and Evolution
Songyi Wang, Fengming Tao, Yuhe Shi
In order to solve the optimization problem of logistics distribution system for fresh food, this paper provides a low-carbon and environmental protection point of view, based on the characteristics of perishable products, and combines with the overall optimization idea of cold chain logistics distribution network, where the green and low-carbon location-routing problem (LRP) model in cold chain logistics is developed with the minimum total costs as the objective function, which includes carbon emission costs...
January 6, 2018: International Journal of Environmental Research and Public Health
Christian D Helfrich, Adam J Rose, Christine W Hartmann, Leti van Bodegom-Vos, Ian D Graham, Suzanne J Wood, Barbara R Majerczyk, Chester B Good, Leonard M Pogach, Sherry L Ball, David H Au, David C Aron
RATIONALE AND OBJECTIVES: One way to understand medical overuse at the clinician level is in terms of clinical decision-making processes that are normally adaptive but become maladaptive. In psychology, dual process models of cognition propose 2 decision-making processes. Reflective cognition is a conscious process of evaluating options based on some combination of utility, risk, capabilities, and/or social influences. Automatic cognition is a largely unconscious process occurring in response to environmental or emotive cues based on previously learned, ingrained heuristics...
January 5, 2018: Journal of Evaluation in Clinical Practice
Martin Reynolds, Eric Sarriot, Robert Chad Swanson, Evan Rusoja
Systems thinking and reference to complexity science have gained currency in health sector practice and research. The extent to which such ideas might represent a mere passing fad or might more usefully be mobilized to tackle wicked problems in health systems is a concern underpinning this paper. Developing the usefulness of the systems idea requires appreciating how systems ideas are used essentially as constructs conceptually bounded by practitioners. Systems are used for purposes of understanding and engaging the reality of health issues, with the intent of transforming the reality into one that is more manageable, equitable, and sustainable...
January 4, 2018: Journal of Evaluation in Clinical Practice
Juan Albino Mendez, Ana Leon, Ayoze Marrero, Jose M Gonzalez-Cava, Jose Antonio Reboso, Jose Ignacio Estevez, José F Gomez-Gonzalez
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuristic knowledge provided by clinicians. A two-level computer decision system is proposed. The idea is to release the clinician from routine tasks so that he can focus on other variables of the patient. METHODS: The controller uses the Bispectral Index (BIS) to assess the hypnotic state of the patient...
January 5, 2018: Artificial Intelligence in Medicine
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