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https://www.readbyqxmd.com/read/28732104/reciprocal-feedback-between-self-concept-and-goal-pursuit-in-daily-life
#1
Alexander E Wong, Robin R Vallacher
OBJECTIVE: We hypothesized that self-knowledge and goal-perseverance are mutually reinforcing because of the roles of self-knowledge in directing goal pursuit, and of goal pursuit in structuring the self-concept. METHOD: To test this hypothesis, we used a daily diary design with 97 college-aged participants for 40 days to assess whether daily self-concept clarity and grit predict one another's next day levels. Data were analyzed using multilevel cross-lagged panel modeling...
July 21, 2017: Journal of Personality
https://www.readbyqxmd.com/read/28731857/cytomcs-a-multiple-maximum-common-subgraph-detection-tool-for-cytoscape
#2
Simon J Larsen, Jan Baumbach
Comparative analysis of biological networks is a major problem in computational integrative systems biology. By computing the maximum common edge subgraph between a set of networks, one is able to detect conserved substructures between them and quantify their topological similarity. To aid such analyses we have developed CytoMCS, a Cytoscape app for computing inexact solutions to the maximum common edge subgraph problem for two or more graphs. Our algorithm uses an iterative local search heuristic for computing conserved subgraphs, optimizing a squared edge conservation score that is able to detect not only fully conserved edges but also partially conserved edges...
July 21, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28731267/heuristic-knowledge-based-planning-for-single-isocenter-stereotactic-radiosurgery-to-multiple-brain-metastases
#3
Benjamin P Ziemer, Parag Sanghvi, Jona Hattangadi-Gluth, Kevin L Moore
PURPOSE: Single-isocenter, volumetric modulated arc therapy (VMAT) stereotactic radiosurgery (SRS) for multiple brain metastases (multi-mets) can deliver highly conformal dose distributions and reduce overall patient treatment time compared to other techniques. However, treatment planning for multi-met cases is highly complex due to variability in numbers and sizes of brain metastases, as well as their relative proximity to organs-at-risk (OARs). The purpose of this study was to automate the VMAT planning of multi-met cases through a knowledge-based planning (KBP) approach that adapts single target SRS dose predictions to multiple target predictions...
July 21, 2017: Medical Physics
https://www.readbyqxmd.com/read/28728971/a-multi-objective-optimization-approach-for-the-selection-of-working-fluids-of-geothermal-facilities-economic-environmental-and-social-aspects
#4
Juan Martínez-Gomez, Javier Peña-Lamas, Mariano Martín, José María Ponce-Ortega
The selection of the working fluid for Organic Rankine Cycles has traditionally been addressed from systematic heuristic methods, which perform a characterization and prior selection considering mainly one objective, thus avoiding a selection considering simultaneously the objectives related to sustainability and safety. The objective of this work is to propose a methodology for the optimal selection of the working fluid for Organic Rankine Cycles. The model is presented as a multi-objective approach, which simultaneously considers the economic, environmental and safety aspects...
July 17, 2017: Journal of Environmental Management
https://www.readbyqxmd.com/read/28727566/model-free-adaptive-control-for-unknown-nonlinear-zero-sum-differential-game
#5
Xiangnan Zhong, Haibo He, Ding Wang, Zhen Ni
In this paper, we present a new model-free globalized dual heuristic dynamic programming (GDHP) approach for the discrete-time nonlinear zero-sum game problems. First, the online learning algorithm is proposed based on the GDHP method to solve the Hamilton-Jacobi-Isaacs equation associated with H∞ optimal regulation control problem. By setting backward one step of the definition of performance index, the requirement of system dynamics, or an identifier is relaxed in the proposed method. Then, three neural networks are established to approximate the optimal saddle point feedback control law, the disturbance law, and the performance index, respectively...
July 17, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28724161/burnout-lewin-s-heuristic-athletes-preparation-and-unionization
#6
Stephen A Wilson
No abstract text is available yet for this article.
July 2017: Family Medicine
https://www.readbyqxmd.com/read/28722292/investigating-the-origins-of-political-views-biases-in-explanation-predict-conservative-attitudes-in-children-and-adults
#7
Larisa J Hussak, Andrei Cimpian
We tested the hypothesis that political attitudes are influenced by an information-processing factor - namely, a bias in the content of everyday explanations. Because many societal phenomena are enormously complex, people's understanding of them often relies on heuristic shortcuts. For instance, when generating explanations for such phenomena (e.g., why does this group have low status?), people often rely on facts that they can retrieve easily from memory - facts that are skewed toward inherent or intrinsic features (e...
July 18, 2017: Developmental Science
https://www.readbyqxmd.com/read/28718079/symptom-self-management-strategies-reported-by-adolescents-and-young-adults-with-cancer-receiving-chemotherapy
#8
Lauri A Linder, Jeanne M Erickson, Kristin Stegenga, Catherine Fiona Macpherson, Sarah Wawrzynski, Christina Wilson, Suzanne Ameringer
PURPOSE: Adolescents and young adults (AYAs) with cancer experience multiple symptoms related to their cancer and its treatment which can negatively impact their development and quality of life. An understanding of the strategies AYAs use to self-manage their symptoms is limited. This study described symptom self-management strategies reported by AYAs with cancer using an iPad-based symptom heuristics tool, the Computerized Symptom Capture Tool. METHODS: The study used a cross-sectional, descriptive design...
July 17, 2017: Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer
https://www.readbyqxmd.com/read/28717229/investigation-of-autistic-traits-through-strategic-decision-making-in-games-with-adaptive-agents
#9
Alexis B Craig, Emily Grossman, Jeffrey L Krichmar
Autism Spectrum Disorders are characterized by difficulties in communicating and cooperating with other people. Impairment in Theory of Mind (ToM), the ability to infer what another person is thinking, may contribute to these social deficits. The present study assesses the relationship between autistic traits and decision-making in a socioeconomic game environment that measures ToM and cooperation. We quantified participant strategy during game play with computer agents that simulated aspects of ToM or fixed strategy agents with static behaviors or heuristics...
July 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28714116/commentary-an-exciting-evolutionary-framework-for-new-bridges-between-social-emotional-and-cognitive-development-a-reflection-on-suor-et%C3%A2-al-2017
#10
Grazyna Kochanska, Kathryn C Goffin
Suor et al. () present a compelling new evolutionary framework that offers an alternative interpretation of the well-established findings of cognitive deficits in children raised in harsh early environments. They argue that such findings do not convey a complete picture of those children's cognitive development, because children's cognition becomes specialized to solve problems in fitness-enhancing ways, and traditional abstract problem-solving tasks do not fully capture their abilities. The authors demonstrate that children exposed to early harshness, particularly children with Hawk temperaments, preferentially shift cognition to salient fitness-enhancing stimuli, and thus develop better skills for solving reward-oriented tasks...
August 2017: Journal of Child Psychology and Psychiatry, and Allied Disciplines
https://www.readbyqxmd.com/read/28713314/when-advisors-true-intentions-are-in-question-how-do-bank-customers-cope-with-uncertainty-in-financial-consultancies
#11
Barbara Mackinger, Eva Jonas, Christina Mühlberger
When making financial decisions bank customers are confronted with two types of uncertainty: first, return on investments is uncertain and there is a risk of losing money. Second, customers cannot be certain about their financial advisor's true intentions. This might decrease customers' willingness to cooperate with advisors. However, the uncertainty management model and fairness heuristic theory predict that in uncertain situations customers are willing to cooperate with financial advisors when they perceive fairness...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28711322/intuitive-physics-current-research-and-controversies
#12
REVIEW
James R Kubricht, Keith J Holyoak, Hongjing Lu
Early research in the field of intuitive physics provided extensive evidence that humans succumb to common misconceptions and biases when predicting, judging, and explaining activity in the physical world. Recent work has demonstrated that, across a diverse range of situations, some biases can be explained by the application of normative physical principles to noisy perceptual inputs. However, it remains unclear how knowledge of physical principles is learned, represented, and applied to novel situations. In this review we discuss theoretical advances from heuristic models to knowledge-based, probabilistic simulation models, as well as recent deep-learning models...
July 12, 2017: Trends in Cognitive Sciences
https://www.readbyqxmd.com/read/28710639/downstream-process-synthesis-for-microbial-steroids
#13
Fabian B Thygs, Juliane Merz
Systematic and holistic process development, considering upstream and downstream processing simultaneously, is crucial for designing effective and economical production processes. Based on a multiphasic fermentation process, where oil is added to improve substrate solubility, a systematic approach for the purification of microbial steroids is presented. The design methodology incorporates expert knowledge in the form of heuristics to generate different downstream processing alternatives for processing the complex, multiphasic fermentation broth, and recovering the target steroid precursor androst-4-ene-3,17-dione (androstenedione; AD)...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28709357/coulomb-collision-model-for-use-in-nonthermal-plasma-simulation
#14
Andrew M Chap, Raymond J Sedwick
In kinetic simulations of non-Maxwellian plasmas, the calculation of particle scattering due to Coulomb collisions has no simple approximation. In such simulations, the number of collision interactions a particle experiences in a single time step is typically too large for direct calculation. In this work, the cumulative effect of a series of binary collisions is calculated numerically in a stochastic manner, and heuristic trends are produced as functions of the local plasma parameters. The result is a collision model suitable for implementation into a kinetic plasma simulation...
June 2017: Physical Review. E
https://www.readbyqxmd.com/read/28708861/incidental-mood-state-before-dissonance-induction-affects-attitude-change
#15
Marie-Amélie Martinie, Yves Almecija, Christine Ros, Sandrine Gil
The way that incidental affect impacts attitude change brought about by controlled processes has so far been examined when the incidental affective state is generated after dissonance state induction. We therefore investigated attitude change when the incidental mood occurs prior to dissonance state induction. We expected a negative mood to induce systematic processing, and a positive mood to induce heuristic processing. Given that both systematic processing and attitude change are cognitively costly, we expected participants who experienced the dissonance state in a negative mood to have insufficient resources to allocate to attitude change...
2017: PloS One
https://www.readbyqxmd.com/read/28706911/malignant-pleural-mesothelioma-predictors-and-staging
#16
REVIEW
William G Richards
Malignant pleural mesothelioma remains a rapidly fatal cancer with few effective therapies. Unusual anatomic features complicate determination of stage and prognosis for individual patients. Validation of staging criteria has been difficult given the rarity of the disease and the fact that only a minority of patients undergo surgical resection with pathological examination of their tumors. Thus, additional heuristic factors and algorithms have been taken into account by clinicians to estimate prognosis and inform discussion of appropriate management strategies or clinical research protocols with patients...
June 2017: Annals of Translational Medicine
https://www.readbyqxmd.com/read/28706301/a-haystack-heuristic-for-autoimmune-disease-biomarker-discovery-using-next-gen-immune-repertoire-sequencing-data
#17
Leonard Apeltsin, Shengzhi Wang, H-Christian von Büdingen, Marina Sirota
Large-scale DNA sequencing of immunological repertoires offers an opportunity for the discovery of novel biomarkers for autoimmune disease. Available bioinformatics techniques however, are not adequately suited for elucidating possible biomarker candidates from within large immunosequencing datasets due to unsatisfactory scalability and sensitivity. Here, we present the Haystack Heuristic, an algorithm customized to computationally extract disease-associated motifs from next-generation-sequenced repertoires by contrasting disease and healthy subjects...
July 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28702483/datasets-for-supplier-selection-and-order-allocation-with-green-criteria-all-unit-quantity-discounts-and-varying-number-of-suppliers
#18
Sadeque Hamdan, Ali Cheaitou
This data article provides detailed optimization input and output datasets and optimization code for the published research work titled "Dynamic green supplier selection and order allocation with quantity discounts and varying supplier availability" (Hamdan and Cheaitou, 2017, In press) [1]. Researchers may use these datasets as a baseline for future comparison and extensive analysis of the green supplier selection and order allocation problem with all-unit quantity discount and varying number of suppliers...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28696023/mcda-swing-weighting-and-discrete-choice-experiments-for-elicitation-of-patient-benefit-risk-preferences-a-critical-assessment
#19
Tommi Tervonen, Heather Gelhorn, Sumitra Sri Bhashyam, Jiat-Ling Poon, Katharine S Gries, Anne Rentz, Kevin Marsh
PURPOSE: Multiple criteria decision analysis swing weighting (SW) and discrete choice experiments (DCE) are appropriate methods for capturing patient preferences on treatment benefit-risk trade-offs. This paper presents a qualitative comparison of the 2 methods. METHODS: We review and critically assess similarities and differences of SW and DCE based on 6 aspects: comprehension by study participants, cognitive biases, sample representativeness, ability to capture heterogeneity in preferences, reliability and validity, and robustness of the results...
July 11, 2017: Pharmacoepidemiology and Drug Safety
https://www.readbyqxmd.com/read/28692699/multiple-quay-cranes-scheduling-for-double-cycling-in-container-terminals
#20
Yanling Chu, Xiaoju Zhang, Zhongzhen Yang
Double cycling is an efficient tool to increase the efficiency of quay crane (QC) in container terminals. In this paper, an optimization model for double cycling is developed to optimize the operation sequence of multiple QCs. The objective is to minimize the makespan of the ship handling operation considering the ship balance constraint. To solve the model, an algorithm based on Lagrangian relaxation is designed. Finally, we compare the efficiency of the Lagrangian relaxation based heuristic with the branch-and-bound method and a genetic algorithm using instances of different sizes...
2017: PloS One
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