keyword
MENU ▼
Read by QxMD icon Read
search

Decision making networks

keyword
https://www.readbyqxmd.com/read/28334802/engagement-strategies-that-foster-community-self-determination-in-participatory-research-insider-ownership-through-outsider-championship
#1
Jon Salsberg, Soultana Macridis, Enrique Garcia Bengoechea, Ann C Macaulay, Spencer Moore
Background.: In order to maximize the benefits of community-based participatory research, effective ownership over the research process must be at least equally in the hands of the community. A previous social network analysis documented that the participatory research process shifted ownership from academic to community partners, but did not show what actions and strategies fostered this shift. Objectives.: This study follows the trajectory of a community-academic partnership and asks, from the perspective of the project stakeholders, which actions and strategies over the lifespan of the research led to the observed shift in ownership and decision-making from the original external academics to the community stakeholders? Methods...
February 18, 2017: Family Practice
https://www.readbyqxmd.com/read/28334612/computing-by-robust-transience-how-the-fronto-parietal-network-performs-sequential-category-based-decisions
#2
Warasinee Chaisangmongkon, Sruthi K Swaminathan, David J Freedman, Xiao-Jing Wang
Decision making involves dynamic interplay between internal judgements and external perception, which has been investigated in delayed match-to-category (DMC) experiments. Our analysis of neural recordings shows that, during DMC tasks, LIP and PFC neurons demonstrate mixed, time-varying, and heterogeneous selectivity, but previous theoretical work has not established the link between these neural characteristics and population-level computations. We trained a recurrent network model to perform DMC tasks and found that the model can remarkably reproduce key features of neuronal selectivity at the single-neuron and population levels...
March 22, 2017: Neuron
https://www.readbyqxmd.com/read/28333591/evidence-accumulation-and-change-rate-inference-in-dynamic-environments
#3
Adrian E Radillo, Alan Veliz-Cuba, Krešimir Josić, Zachary P Kilpatrick
In a constantly changing world, animals must account for environmental volatility when making decisions. To appropriately discount older, irrelevant information, they need to learn the rate at which the environment changes. We develop an ideal observer model capable of inferring the present state of the environment along with its rate of change. Key to this computation is an update of the posterior probability of all possible change point counts. This computation can be challenging, as the number of possibilities grows rapidly with time...
March 23, 2017: Neural Computation
https://www.readbyqxmd.com/read/28331490/ranking-of-sites-for-installation-of-hydropower-plant-using-mlp-neural-network-trained-with-ga-a-madm-approach
#4
Benjamin A Shimray, Kh Manglem Singh, Thongam Khelchandra, R K Mehta
Every energy system which we consider is an entity by itself, defined by parameters which are interrelated according to some physical laws. In recent year tremendous importance is given in research on site selection in an imprecise environment. In this context, decision making for the suitable location of power plant installation site is an issue of relevance. Environmental impact assessment is often used as a legislative requirement in site selection for decades. The purpose of this current work is to develop a model for decision makers to rank or classify various power plant projects according to multiple criteria attributes such as air quality, water quality, cost of energy delivery, ecological impact, natural hazard, and project duration...
2017: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/28328313/in-search-for-a-robust-design-of-environmental-sensor-networks
#5
Setia Budi, Ferry Susanto, Paulo de Souza, Greg Timms, Vishv Malhotra, Paul Turner
This paper presents an approach to the design of Environmental Sensor Networks (ESN) which aims at providing a robust, fit-for-purpose network with minimum redundancy. A set of near optimum ESN designs is sought using an Evolutionary Algorithm, which incorporates redundancy and robustness as fitness functions. This work can assist the decision making process when determining the number of sensor nodes and how the nodes are going to be deployed in the region of interest.
March 22, 2017: Environmental Technology
https://www.readbyqxmd.com/read/28327157/factors-influencing-implementation-of-a-patient-decision-aid-in-a-developing-country-an-exploratory-study
#6
Wen Ting Tong, Yew Kong Lee, Chirk Jenn Ng, Ping Yein Lee
BACKGROUND: Most studies on barriers and facilitators to implementation of patient decision aids (PDAs) are conducted in the west; hence, the findings may not be transferable to developing countries. This study aims to use a locally developed insulin PDA as an exemplar to explore the barriers and facilitators to implementing PDAs in Malaysia, an upper middle-income country in Asia. METHODS: Qualitative methodology was adopted. Nine in-depth interviews (IDIs) and three focus group discussions (FGDs) were conducted with policymakers (n = 6), medical officers (n = 13), diabetes educators (n = 5) and a nurse, who were involved in insulin initiation management at an academic primary care clinic...
March 21, 2017: Implementation Science: IS
https://www.readbyqxmd.com/read/28325441/a-review-of-fuzzy-cognitive-maps-in-medicine-taxonomy-methods-and-applications
#7
REVIEW
Abdollah Amirkhani, Elpiniki I Papageorgiou, Akram Mohseni, Mohammad R Mosavi
BACKGROUND AND OBJECTIVE: A high percentage of medical errors, committed because of physician's lack of experience, huge volume of data to be analyzed, and inaccessibility to medical records of previous patients, can be reduced using computer-aided techniques. Therefore, designing more efficient medical decision-support systems (MDSSs) to assist physicians in decision-making is crucially important. Through combining the properties of fuzzy logic and neural networks, fuzzy cognitive maps (FCMs) are among the latest, most efficient, and strongest artificial intelligence techniques for modeling complex systems...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28325033/user-intent-prediction-with-a-scaled-conjugate-gradient-trained-artificial-neural-network-for-lower-limb-amputees-using-a-powered-prosthesis
#8
Richard B Woodward, John A Spanias, Levi J Hargrove
Powered lower limb prostheses have the ability to provide greater mobility for amputee patients. Such prostheses often have pre-programmed modes which can allow activities such as climbing stairs and descending ramps, something which many amputees struggle with when using non-powered limbs. Previous literature has shown how pattern classification can allow seamless transitions between modes with a high accuracy and without any user interaction. Although accurate, training and testing each subject with their own dependent data is time consuming...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324809/the-internet-as-a-source-of-information-used-by-women-after-childbirth-to-meet-their-need-for-information-a-web-based-survey
#9
J Slomian, O Bruyère, J Y Reginster, P Emonts
OBJECTIVE: the aims of this survey were: (a) to evaluate the need of information after childbirth and what questions do 'new' mothers ask themselves; (b) to assess why and how women use the Internet to meet their need of information; (c) to describe how the respondents evaluate the reliability of the information found; (d) to understand how the information found on the Internet affects women's decision-making; and (e) to appreciate how health professionals react to the information found by the women...
March 14, 2017: Midwifery
https://www.readbyqxmd.com/read/28320846/working-memory-load-strengthens-reward-prediction-errors
#10
Anne G E Collins, Brittany Ciullo, Michael J Frank, David Badre
Reinforcement learning in simple instrumental tasks is usually modeled as a monolithic process in which reward prediction errors are used to update expected values of choice options. This modeling ignores the different contributions of different memory and decision-making systems thought to contribute even to simple learning. In an fMRI experiment, we asked how working memory and incremental reinforcement learning processes interact to guide human learning. Working memory load was manipulated by varying the number of stimuli to be learned across blocks...
March 20, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28319275/mrf-ann-a-machine-learning-approach-for-automated-er-scoring-of-breast-cancer-immunohistochemical-images
#11
T Mungle, S Tewary, D K DAS, I Arun, B Basak, S Agarwal, R Ahmed, S Chatterjee, C Chakraborty
Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time-consumption and inter-/intraobserver variability are major hindrances for evaluating the receptor score. In view of this, the paper proposes an automated Allred Scoring methodology for estrogen receptor (ER). White balancing is used to normalize the colour image taking into consideration colour variation during staining in different labs. Markov random field model with expectation-maximization optimization is employed to segment the ER cells...
March 20, 2017: Journal of Microscopy
https://www.readbyqxmd.com/read/28318522/prognostic-stratification-and-healthcare-approach-in-patients-with-multiple-pathologies
#12
M Bernabeu-Wittel, B Barón-Franco, D Nieto-Martín, L Moreno-Gaviño, N Ramírez-Duque, M Ollero-Baturone
Polypathological patients constitute a prevalent, fairly homogeneous population, which is characterised by high clinical complexity, substantial vulnerability and significant resource consumption, in addition to high mortality and the need for comprehensive, coordinated care. It is particularly important to establish a reliable prognosis in these patients. It is also extremely useful for professionals involved in the decision-making process for patients and their families in vital planning and their preferences, for strategic health planning in management fields, and for clinical research, by facilitating their incorporation into clinical trials and other intervention studies...
March 16, 2017: Revista Clínica Española
https://www.readbyqxmd.com/read/28316785/narrative-change-narrative-stability-and-structural-constraint-the-case-of-prisoner-reentry-narratives
#13
David J Harding, Cheyney C Dobson, Jessica J B Wyse, Jeffrey D Morenoff
Cultural sociologists and other social scientists have increasingly used the concept of narrative as a theoretical tool to understand how individuals make sense of the links between their past, present, and future, how individuals construct social identities from cultural building blocks, and how culture shapes social action and individual behavior. Despite its richness, we contend that the narratives literature has yet to grapple with narrative change and stability when structural constraints or barriers challenge personal narratives and narrative identities...
March 2017: Am J Cult Sociol
https://www.readbyqxmd.com/read/28316248/assessing-the-impact-of-post-traumatic-stress-symptoms-on-resting-state-function-networks-in-a-military-chronic-mild-traumatic-brain-injury-sample
#14
Dominic E Nathan, Julie F Bellgowan, Louis M French, Jonathan P Wolf, Terry Oakes, Jeannine B Mielke, Elyssa B Sham, Wei Liu, Gerard Riedy
The relationship between post traumatic stress disorder (PTSD) and chronic symptoms of mild traumatic brain injury (mTBI) is difficult to discern and poorly understood. An accurate differential diagnosis, assessment and treatment of mTBI and PTSD is challenging due to significant symptom overlap and the absence of clearly established biomarkers. The objective of this work is to examine how post traumatic stress influences task-free brain networks in chronic mTBI subjects. Control subjects (N=44) were compared with chronic mTBI subjects with low (N=58, PCLC total<30), medium (N=124, PCLC total = 31-49) and high (N=105, PCLC total ≥ 60) post traumatic stress symptoms (PTSS)...
March 19, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28301531/the-myopia-of-crowds-cognitive-load-and-collective-evaluation-of-answers-on-stack-exchange
#15
Keith Burghardt, Emanuel F Alsina, Michelle Girvan, William Rand, Kristina Lerman
Crowds can often make better decisions than individuals or small groups of experts by leveraging their ability to aggregate diverse information. Question answering sites, such as Stack Exchange, rely on the "wisdom of crowds" effect to identify the best answers to questions asked by users. We analyze data from 250 communities on the Stack Exchange network to pinpoint factors affecting which answers are chosen as the best answers. Our results suggest that, rather than evaluate all available answers to a question, users rely on simple cognitive heuristics to choose an answer to vote for or accept...
2017: PloS One
https://www.readbyqxmd.com/read/28301510/investigation-on-law-and-economics-of-listed-companies-financing-preference-based-on-complex-network-theory
#16
Jian Yang, Shuying Bai, Zhao Qu, Hui Chang
In this paper, complex network theory is used to make time-series analysis of key indicators of governance structure and financing data. We analyze scientific listed companies' governance data from 2010 to 2014 and divide them into groups in accordance with the similarity they share. Then we select sample companies to analyze their financing data and explore the influence of governance structure on financing decision and the financing preference they display. This paper reviews relevant laws and regulations of financing from the perspective of law and economics, then proposes reasonable suggestions to consummate the law for the purpose of regulating listed companies' financing...
2017: PloS One
https://www.readbyqxmd.com/read/28298210/delineating-functional-principles-of-the-bow-tie-structure-of-a-kinase-phosphatase-network-in-the-budding-yeast
#17
Diala Abd-Rabbo, Stephen W Michnick
BACKGROUND: Kinases and phosphatases (KP) form complex self-regulating networks essential for cellular signal processing. In spite of having a wealth of data about interactions among KPs and their substrates, we have very limited models of the structures of the directed networks they form and consequently our ability to formulate hypotheses about how their structure determines the flow of information in these networks is restricted. RESULTS: We assembled and studied the largest bona fide kinase-phosphatase network (KP-Net) known to date for the yeast Saccharomyces cerevisiae...
March 16, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28298209/implementation-of-evidence-informed-practice-through-central-network-actors-a-case-study-of-three-public-health-units-in-canada
#18
Reza Yousefi Nooraie, Alexandra Marin, Robert Hanneman, Lynne Lohfeld, Maureen Dobbins
BACKGROUND: Workforce development is an important aspect of evidence-informed decision making (EIDM) interventions. The social position of individuals in formal and informal social networks, and the relevance of formal roles in relation to EIDM are important factors identifying key EIDM players in public health organizations. We assessed the role of central actors in information sharing networks in promoting the adoption of EIDM by the staff of three public health units in Canada, over a two-year period during which an organization-wide intervention was implemented...
March 15, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28296635/dynamics-of-embryonic-stem-cell-differentiation-inferred-from-single-cell-transcriptomics-show-a-series-of-transitions-through-discrete-cell-states
#19
Sumin Jang, Sandeep Choubey, Leon Furchtgott, Ling-Nan Zou, Adele Doyle, Vilas Menon, Ethan B Loew, Anne-Rachel Krostag, Refugio A Martinez, Linda Madisen, Boaz P Levi, Sharad Ramanathan
The complexity of gene regulatory networks that lead multipotent cells to acquire different cell fates makes a quantitative understanding of differentiation challenging. Using a statistical framework to analyze single-cell transcriptomics data, we infer the gene expression dynamics of early mouse embryonic stem (mES) cell differentiation, uncovering discrete transitions across nine cell states. We validate the predicted transitions across discrete states using flow cytometry. Moreover, using live-cell microscopy, we show that individual cells undergo abrupt transitions from a naïve to primed pluripotent state...
March 15, 2017: ELife
https://www.readbyqxmd.com/read/28294474/modulating-risky-decision-making-in-parkinson-s-disease-by-transcranial-direct-current-stimulation
#20
A Benussi, A Alberici, V Cantoni, R Manenti, M Brambilla, V Dell'Era, S Gazzina, M Manes, V Cristillo, A Padovani, M Cotelli, B Borroni
BACKGROUND AND PURPOSE: Performance on gambling tasks in Parkinson's disease (PD) is of particular interest, as pathological gambling is often associated with dopamine replacement therapy in these patients. We aimed to evaluate the effects of transcranial direct current stimulation (tDCS) over the right dorsolateral prefrontal cortex (DLPFC) in modulating gambling behaviour in PD. METHODS: We assessed the effects of cathodal tDCS over the right DLPFC during the Iowa Gambling Task in 20 patients with PD, compared with sham stimulation...
March 15, 2017: European Journal of Neurology: the Official Journal of the European Federation of Neurological Societies
keyword
keyword
71554
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"